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Repository: salesforce/booksum
Branch: main
Commit: 9ef00dc962c4
Files: 42
Total size: 4.9 MB
Directory structure:
gitextract_i4mtabdf/
├── CODEOWNERS
├── CODE_OF_CONDUCT.md
├── LICENSE.txt
├── README.md
├── SECURITY.md
├── alignments/
│ ├── book-level-summary-alignments/
│ │ ├── book_summaries_aligned_test.jsonl
│ │ ├── book_summaries_aligned_train.jsonl
│ │ └── book_summaries_aligned_val.jsonl
│ ├── chapter-level-summary-alignments/
│ │ ├── chapter_summary_aligned_test_split.jsonl
│ │ ├── chapter_summary_aligned_train_split.jsonl
│ │ └── chapter_summary_aligned_val_split.jsonl
│ ├── chapter_summary_aligned.jsonl.aggregate_splits
│ └── paragraph-level-summary-alignments/
│ ├── align_data_bi_encoder_paraphrase.py
│ └── gather_data.py
├── requirements.txt
└── scripts/
├── data_cleaning/
│ ├── basic_clean.py
│ ├── clean_summaries.py
│ └── split_aggregate_chaps_all_sources.py
└── data_collection/
├── bookwolf/
│ ├── get_summaries.py
│ ├── get_works.py
│ └── literature_links.tsv.pruned
├── cliffnotes/
│ ├── get_summaries.py
│ ├── get_works.py
│ └── literature_links.tsv.pruned
├── gradesaver/
│ ├── get_summaries.py
│ ├── get_works.py
│ └── literature_links.tsv.pruned
├── novelguide/
│ ├── get_summaries.py
│ ├── get_works.py
│ └── literature_links.tsv.pruned
├── pinkmonkey/
│ ├── get_summaries.py
│ ├── get_works.py
│ └── literature_links.tsv.pruned
├── shmoop/
│ ├── get_summaries.py
│ ├── get_works.py
│ └── literature_links.tsv.pruned
├── sparknotes/
│ ├── get_summaries.py
│ ├── get_works.py
│ └── literature_links.tsv.pruned
└── thebestnotes/
├── get_summaries.py
├── get_works.py
└── literature_links.tsv.pruned
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FILE CONTENTS
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FILE: CODEOWNERS
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# Comment line immediately above ownership line is reserved for related gus information. Please be careful while editing.
#ECCN:Open Source
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FILE: CODE_OF_CONDUCT.md
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Salesforce Open Source Community Code of Conduct
## About the Code of Conduct
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FILE: LICENSE.txt
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Copyright (c) 2021, Salesforce.com, Inc.
All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
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FILE: README.md
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# BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization
Authors: [Wojciech Kryściński](https://twitter.com/iam_wkr), [Nazneen Rajani](https://twitter.com/nazneenrajani), [Divyansh Agarwal](https://twitter.com/jigsaw2212), [Caiming Xiong](https://twitter.com/caimingxiong), [Dragomir Radev](http://www.cs.yale.edu/homes/radev/)
## Introduction
The majority of available text summarization datasets include short-form source documents that lack long-range causal and temporal dependencies, and often contain strong layout and stylistic biases.
While relevant, such datasets will offer limited challenges for future generations of text summarization systems.
We address these issues by introducing BookSum, a collection of datasets for long-form narrative summarization.
Our dataset covers source documents from the literature domain, such as novels, plays and stories, and includes highly abstractive, human written summaries on three levels of granularity of increasing difficulty: paragraph-, chapter-, and book-level.
The domain and structure of our dataset poses a unique set of challenges for summarization systems, which include: processing very long documents, non-trivial causal and temporal dependencies, and rich discourse structures.
To facilitate future work, we trained and evaluated multiple extractive and abstractive summarization models as baselines for our dataset.
Paper link: https://arxiv.org/abs/2105.08209
<p align="center"><img src="misc/book_sumv4.png"></p>
## Table of Contents
1. [Updates](#updates)
2. [Citation](#citation)
3. [Legal Note](#legal-note)
4. [License](#license)
5. [Usage](#usage)
6. [Get Involved](#get-involved)
## Updates
#### 4/15/2021
Initial commit
## Citation
```
@article{kryscinski2021booksum,
title={BookSum: A Collection of Datasets for Long-form Narrative Summarization},
author={Wojciech Kry{\'s}ci{\'n}ski and Nazneen Rajani and Divyansh Agarwal and Caiming Xiong and Dragomir Radev},
year={2021},
eprint={2105.08209},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
## Legal Note
By downloading or using the resources, including any code or scripts, shared in this code
repository, you hereby agree to the following terms, and your use of the resources is conditioned
on and subject to these terms.
1. You may only use the scripts shared in this code repository for research purposes. You
may not use or allow others to use the scripts for any other purposes and other uses are
expressly prohibited.
2. You will comply with all terms and conditions, and are responsible for obtaining all
rights, related to the services you access and the data you collect.
3. We do not make any representations or warranties whatsoever regarding the sources from
which data is collected. Furthermore, we are not liable for any damage, loss or expense of
any kind arising from or relating to your use of the resources shared in this code
repository or the data collected, regardless of whether such liability is based in tort,
contract or otherwise.
## License
The code is released under the **BSD-3 License** (see `LICENSE.txt` for details).
## Usage
#### 1. Chapterized Project Guteberg Data
The chapterized book text from Gutenberg, for the books we use in our work, has been made available through a public GCP bucket. It can be fetched using:
```
gsutil cp gs://sfr-books-dataset-chapters-research/all_chapterized_books.zip .
```
or downloaded directly [here](https://storage.cloud.google.com/sfr-books-dataset-chapters-research/all_chapterized_books.zip).
#### 2. Data Collection
Data collection scripts for the summary text are organized by the different sources that we use summaries from.
Note: At the time of collecting the data, all links in literature_links.tsv were working for the respective sources.
For each data source, the file `literature_links.tsv.pruned` contains the links for the books in our dataset. Run `get_summaries.py` to collect the summaries from the links for each source. Additionally, `get_works.py` can be used to collect an exhaustive set of summaries from that source.
```
cd scripts/data_collection/cliffnotes/
python get_summaries.py
```
#### 3. Data Cleaning
1. Perform basic cleanup operations and setup the summary text for splitting and further cleaning operations
```
cd scripts/data_cleaning_scripts/
python basic_clean.py
```
2. Using a mapping of which chapter summaries are separable (`alignments/chapter_summary_aligned.jsonl.aggregate_splits`), the summary text is split into different sections (eg. Chapters 1-3 summary separated into 3 different sections - Chapter 1 summary, Chapter 2 summary, Chapter 3 summary)
```
python split_aggregate_chaps_all_sources.py
```
3. The main cleanup script separates out analysis/commentary/notes from the summary text, removes prefixes etc.
```
python clean_summaries.py
```
#### Data Alignments
Generating paragraph alignments from the chapter-level-summary-alignments, is performed individually for the train/test/val splits:
Gather the data from the summaries and book chapters into a single jsonl. The script needs to be run separately for each split as the matched file
```
cd paragraph-level-summary-alignments
python gather_data.py --matched_file /path/to/chapter_summary_aligned_{train/test/val}_split.jsonl --split_paragraphs
```
Generate alignments of the paragraphs with sentences from the summary using the bi-encoder **paraphrase-distilroberta-base-v1**
```
python align_data_bi_encoder_paraphrase.py --data_path /path/to/chapter_summary_aligned_{train/test/val}_split.jsonl.gathered --stable_alignment
```
## Troubleshooting
1. The web archive links we collect the summaries from can often be unreliable, taking a long time to load. One way to fix this is to use higher sleep timeouts when one of the links throws an exception, which has been implemented in some of the scripts.
2. Some links that constantly throw errors are aggregated in a file called - 'section_errors.txt'. This is useful to inspect which links are actually unavailable and re-running the data collection scripts for those specific links.
3. Some paths in the provided files might throw errors depending on where the chapterized books have been downloaded. It is recommended to download them in booksum root directory for the scripts to work without requiring any modifications to the paths.
## Get Involved
Please create a GitHub issue if you have any questions, suggestions, requests or bug-reports.
We welcome PRs!
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FILE: SECURITY.md
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Security
Please report any security issue to [security@salesforce.com](mailto:security@salesforce.com)
as soon as it is discovered. This library limits its runtime dependencies in
order to reduce the total cost of ownership as much as can be, but all consumers
should remain vigilant and have their security stakeholders review all third-party
Products (3PP) like this one and their dependencies.
================================================
FILE: alignments/book-level-summary-alignments/book_summaries_aligned_test.jsonl
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{"bid": "28054", "source": "gradesaver", "title": "The Brothers Karamazov", "summary_path": "finished_summaries/gradesaver/The Brothers Karamazov/overview.json", "book_path": "all_chapterized_books/28054-chapters/book_clean.txt"}
{"bid": "28054", "source": "shmoop", "title": "The Brothers Karamazov", "summary_path": "finished_summaries/shmoop/The Brothers Karamazov/overview.txt", "book_path": "all_chapterized_books/28054-chapters/book_clean.txt"}
{"bid": "28054", "source": "cliffnotes", "title": "The Brothers Karamazov", "summary_path": "finished_summaries/cliffnotes/The Brothers Karamazov/overview.txt", "book_path": "all_chapterized_books/28054-chapters/book_clean.txt"}
{"bid": "28054", "source": "sparknotes", "title": "The Brothers Karamazov", "summary_path": "finished_summaries/sparknotes/The Brothers Karamazov/overview.txt", "book_path": "all_chapterized_books/28054-chapters/book_clean.txt"}
{"bid": "2833", "source": "gradesaver", "title": "The Portrait of a Lady", "summary_path": "finished_summaries/gradesaver/The Portrait of a Lady/overview.json", "book_path": "all_chapterized_books/2833-chapters/book_clean.txt"}
{"bid": "2833", "source": "shmoop", "title": "The Portrait of a Lady", "summary_path": "finished_summaries/shmoop/The Portrait of a Lady/overview.txt", "book_path": "all_chapterized_books/2833-chapters/book_clean.txt"}
{"bid": "2833", "source": "cliffnotes", "title": "The Portrait of a Lady", "summary_path": "finished_summaries/cliffnotes/The Portrait of a Lady/overview.txt", "book_path": "all_chapterized_books/2833-chapters/book_clean.txt"}
{"bid": "2833", "source": "sparknotes", "title": "The Portrait of a Lady", "summary_path": "finished_summaries/sparknotes/The Portrait of a Lady/overview.txt", "book_path": "all_chapterized_books/2833-chapters/book_clean.txt"}
{"bid": "1232", "source": "gradesaver", "title": "The Prince", "summary_path": "finished_summaries/gradesaver/The Prince/overview.json", "book_path": "all_chapterized_books/1232-chapters/book_clean.txt"}
{"bid": "1232", "source": "shmoop", "title": "The Prince", "summary_path": "finished_summaries/shmoop/The Prince/overview.txt", "book_path": "all_chapterized_books/1232-chapters/book_clean.txt"}
{"bid": "1232", "source": "cliffnotes", "title": "The Prince", "summary_path": "finished_summaries/cliffnotes/The Prince/overview.txt", "book_path": "all_chapterized_books/1232-chapters/book_clean.txt"}
{"bid": "1232", "source": "sparknotes", "title": "The Prince", "summary_path": "finished_summaries/sparknotes/The Prince/overview.txt", "book_path": "all_chapterized_books/1232-chapters/book_clean.txt"}
{"bid": "1200", "source": "gradesaver", "title": "Gargantua and Pantagruel", "summary_path": "finished_summaries/gradesaver/Gargantua and Pantagruel/overview.json", "book_path": "all_chapterized_books/1200-chapters/book_clean.txt"}
{"bid": "44747", "source": "shmoop", "title": "The Red and the Black", "summary_path": "finished_summaries/shmoop/The Red and the Black/overview.txt", "book_path": "all_chapterized_books/44747-chapters/book_clean.txt"}
{"bid": "44747", "source": "cliffnotes", "title": "The Red and the Black", "summary_path": "finished_summaries/cliffnotes/The Red and the Black/overview.txt", "book_path": "all_chapterized_books/44747-chapters/book_clean.txt"}
{"bid": "44747", "source": "sparknotes", "title": "The Red and the Black", "summary_path": "finished_summaries/sparknotes/The Red and the Black/overview.txt", "book_path": "all_chapterized_books/44747-chapters/book_clean.txt"}
{"bid": "14328", "source": "gradesaver", "title": "The Consolation of Philosophy", "summary_path": "finished_summaries/gradesaver/The Consolation of Philosophy/overview.json", "book_path": "all_chapterized_books/14328-chapters/book_clean.txt"}
{"bid": "174", "source": "gradesaver", "title": "The Picture of Dorian Gray", "summary_path": "finished_summaries/gradesaver/The Picture of Dorian Gray/overview.json", "book_path": "all_chapterized_books/174-chapters/book_clean.txt"}
{"bid": "174", "source": "shmoop", "title": "The Picture of Dorian Gray", "summary_path": "finished_summaries/shmoop/The Picture of Dorian Gray/overview.txt", "book_path": "all_chapterized_books/174-chapters/book_clean.txt"}
{"bid": "174", "source": "cliffnotes", "title": "The Picture of Dorian Gray", "summary_path": "finished_summaries/cliffnotes/The Picture of Dorian Gray/overview.txt", "book_path": "all_chapterized_books/174-chapters/book_clean.txt"}
{"bid": "174", "source": "sparknotes", "title": "The Picture of Dorian Gray", "summary_path": "finished_summaries/sparknotes/The Picture of Dorian Gray/overview.txt", "book_path": "all_chapterized_books/174-chapters/book_clean.txt"}
{"bid": "5658", "source": "gradesaver", "title": "Lord Jim", "summary_path": "finished_summaries/gradesaver/Lord Jim/overview.json", "book_path": "all_chapterized_books/5658-chapters/book_clean.txt"}
{"bid": "5658", "source": "shmoop", "title": "Lord Jim", "summary_path": "finished_summaries/shmoop/Lord Jim/overview.txt", "book_path": "all_chapterized_books/5658-chapters/book_clean.txt"}
{"bid": "5658", "source": "cliffnotes", "title": "Lord Jim", "summary_path": "finished_summaries/cliffnotes/Lord Jim/overview.txt", "book_path": "all_chapterized_books/5658-chapters/book_clean.txt"}
{"bid": "5658", "source": "sparknotes", "title": "Lord Jim", "summary_path": "finished_summaries/sparknotes/Lord Jim/overview.txt", "book_path": "all_chapterized_books/5658-chapters/book_clean.txt"}
{"bid": "107", "source": "gradesaver", "title": "Far from the Madding Crowd", "summary_path": "finished_summaries/gradesaver/Far from the Madding Crowd/overview.json", "book_path": "all_chapterized_books/107-chapters/book_clean.txt"}
{"bid": "107", "source": "shmoop", "title": "Far From the Madding Crowd", "summary_path": "finished_summaries/shmoop/Far From the Madding Crowd/overview.txt", "book_path": "all_chapterized_books/107-chapters/book_clean.txt"}
{"bid": "107", "source": "cliffnotes", "title": "Far from the Madding Crowd", "summary_path": "finished_summaries/cliffnotes/Far from the Madding Crowd/overview.txt", "book_path": "all_chapterized_books/107-chapters/book_clean.txt"}
{"bid": "107", "source": "sparknotes", "title": "Far from the Madding Crowd", "summary_path": "finished_summaries/sparknotes/Far from the Madding Crowd/overview.txt", "book_path": "all_chapterized_books/107-chapters/book_clean.txt"}
{"bid": "161", "source": "gradesaver", "title": "Sense and Sensibility", "summary_path": "finished_summaries/gradesaver/Sense and Sensibility/overview.json", "book_path": "all_chapterized_books/161-chapters/book_clean.txt"}
{"bid": "161", "source": "shmoop", "title": "Sense and Sensibility", "summary_path": "finished_summaries/shmoop/Sense and Sensibility/overview.txt", "book_path": "all_chapterized_books/161-chapters/book_clean.txt"}
{"bid": "161", "source": "cliffnotes", "title": "Sense and Sensibility", "summary_path": "finished_summaries/cliffnotes/Sense and Sensibility/overview.txt", "book_path": "all_chapterized_books/161-chapters/book_clean.txt"}
{"bid": "161", "source": "sparknotes", "title": "Sense and Sensibility", "summary_path": "finished_summaries/sparknotes/Sense and Sensibility/overview.txt", "book_path": "all_chapterized_books/161-chapters/book_clean.txt"}
{"bid": "1130", "source": "shmoop", "title": "The Tragedy of Antony and Cleopatra", "summary_path": "finished_summaries/shmoop/The Tragedy of Antony and Cleopatra/overview.txt", "book_path": "all_chapterized_books/1130-chapters/book_clean.txt"}
{"bid": "1929", "source": "gradesaver", "title": "The School for Scandal", "summary_path": "finished_summaries/gradesaver/The School for Scandal/overview.json", "book_path": "all_chapterized_books/1929-chapters/book_clean.txt"}
{"bid": "12915", "source": "gradesaver", "title": "The White Devil", "summary_path": "finished_summaries/gradesaver/The White Devil/overview.json", "book_path": "all_chapterized_books/12915-chapters/book_clean.txt"}
{"bid": "12915", "source": "shmoop", "title": "The White Devil", "summary_path": "finished_summaries/shmoop/The White Devil/overview.txt", "book_path": "all_chapterized_books/12915-chapters/book_clean.txt"}
{"bid": "23042", "source": "gradesaver", "title": "The Tempest", "summary_path": "finished_summaries/gradesaver/The Tempest/overview.json", "book_path": "all_chapterized_books/23042-chapters/book_clean.txt"}
{"bid": "23042", "source": "shmoop", "title": "The Tempest", "summary_path": "finished_summaries/shmoop/The Tempest/overview.txt", "book_path": "all_chapterized_books/23042-chapters/book_clean.txt"}
{"bid": "23042", "source": "sparknotes", "title": "The Tempest", "summary_path": "finished_summaries/sparknotes/The Tempest/overview.txt", "book_path": "all_chapterized_books/23042-chapters/book_clean.txt"}
{"bid": "1756", "source": "gradesaver", "title": "Uncle Vanya", "summary_path": "finished_summaries/gradesaver/Uncle Vanya/overview.json", "book_path": "all_chapterized_books/1756-chapters/book_clean.txt"}
{"bid": "1756", "source": "shmoop", "title": "Uncle Vanya", "summary_path": "finished_summaries/shmoop/Uncle Vanya/overview.txt", "book_path": "all_chapterized_books/1756-chapters/book_clean.txt"}
{"bid": "1756", "source": "sparknotes", "title": "Uncle Vanya", "summary_path": "finished_summaries/sparknotes/Uncle Vanya/overview.txt", "book_path": "all_chapterized_books/1756-chapters/book_clean.txt"}
{"bid": "23046", "source": "shmoop", "title": "The Comedy of Errors", "summary_path": "finished_summaries/shmoop/The Comedy of Errors/overview.txt", "book_path": "all_chapterized_books/23046-chapters/book_clean.txt"}
{"bid": "23046", "source": "sparknotes", "title": "The Comedy of Errors", "summary_path": "finished_summaries/sparknotes/The Comedy of Errors/overview.txt", "book_path": "all_chapterized_books/23046-chapters/book_clean.txt"}
{"bid": "151", "source": "gradesaver", "title": "The Rime of the Ancient Mariner", "summary_path": "finished_summaries/gradesaver/The Rime of the Ancient Mariner/overview.json", "book_path": "all_chapterized_books/151-chapters/book_clean.txt"}
================================================
FILE: alignments/book-level-summary-alignments/book_summaries_aligned_train.jsonl
================================================
{"bid": "20", "source": "gradesaver", "title": "Paradise Lost", "summary_path": "finished_summaries/gradesaver/Paradise Lost/overview.json", "book_path": "all_chapterized_books/20-chapters/book_clean.txt"}
{"bid": "20", "source": "shmoop", "title": "Paradise Lost", "summary_path": "finished_summaries/shmoop/Paradise Lost/overview.txt", "book_path": "all_chapterized_books/20-chapters/book_clean.txt"}
{"bid": "20", "source": "sparknotes", "title": "Paradise Lost", "summary_path": "finished_summaries/sparknotes/Paradise Lost/overview.txt", "book_path": "all_chapterized_books/20-chapters/book_clean.txt"}
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FILE: alignments/book-level-summary-alignments/book_summaries_aligned_val.jsonl
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FILE: alignments/chapter-level-summary-alignments/chapter_summary_aligned_test_split.jsonl
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{"bid": "161", "is_aggregate": false, "source": "novelguide", "chapter_path": "all_chapterized_books/161-chapters/05.txt", "summary_path": "finished_summaries/novelguide/Sense and Sensibility/section_1_part_5.txt", "book_id": "Sense and Sensibility.chapter v", "summary_id": "chapter v"}
{"bid": "161", "is_aggregate": false, "source": "novelguide", "chapter_path": "all_chapterized_books/161-chapters/06.txt", "summary_path": "finished_summaries/novelguide/Sense and Sensibility/section_1_part_6.txt", "book_id": "Sense and Sensibility.chapter vi", "summary_id": "chapter vi"}
{"bid": "161", "is_aggregate": false, "source": "novelguide", "chapter_path": "all_chapterized_books/161-chapters/07.txt", "summary_path": "finished_summaries/novelguide/Sense and Sensibility/section_1_part_7.txt", "book_id": "Sense and Sensibility.chapter vii", "summary_id": "chapter vii"}
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{"bid": "107", "is_aggregate": false, "source": "shmoop", "chapter_path": "all_chapterized_books/107-chapters/05.txt", "summary_path": "finished_summaries/shmoop/Far From the Madding Crowd/section_4_part_0.txt", "book_id": "Far From the Madding Crowd.chapter 5", "summary_id": "chapter 5"}
{"bid": "107", "is_aggregate": false, "source": "shmoop", "chapter_path": "all_chapterized_books/107-chapters/06.txt", "summary_path": "finished_summaries/shmoop/Far From the Madding Crowd/section_5_part_0.txt", "book_id": "Far From the Madding Crowd.chapter 6", "summary_id": "chapter 6"}
{"bid": "107", "is_aggregate": false, "source": "shmoop", "chapter_path": "all_chapterized_books/107-chapters/07.txt", "summary_path": "finished_summaries/shmoop/Far From the Madding Crowd/section_6_part_0.txt", "book_id": "Far From the Madding Crowd.chapter 7", "summary_id": "chapter 7"}
{"bid": "107", "is_aggregate": false, "source": "shmoop", "chapter_path": "all_chapterized_books/107-chapters/08.txt", "summary_path": "finished_summaries/shmoop/Far From the Madding Crowd/section_7_part_0.txt", "book_id": "Far From the Madding Crowd.chapter 8", "summary_id": "chapter 8"}
{"bid": "107", "is_aggregate": false, "source": "shmoop", "chapter_path": "all_chapterized_books/107-chapters/09.txt", "summary_path": "finished_summaries/shmoop/Far From the Madding Crowd/section_8_part_0.txt", "book_id": "Far From the Madding Crowd.chapter 9", "summary_id": "chapter 9"}
{"bid": "107", "is_aggregate": false, "source": "shmoop", "chapter_path": "all_chapterized_books/107-chapters/10.txt", "summary_path": "finished_summaries/shmoop/Far From the Madding Crowd/section_9_part_0.txt", "book_id": "Far From the Madding Crowd.chapter 10", "summary_id": "chapter 10"}
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{"bid": "107", "is_aggregate": false, "source": "shmoop", "chapter_path": "all_chapterized_books/107-chapters/14.txt", "summary_path": "finished_summaries/shmoop/Far From the Madding Crowd/section_13_part_0.txt", "book_id": "Far From the Madding Crowd.chapter 14", "summary_id": "chapter 14"}
{"bid": "107", "is_aggregate": false, "source": "shmoop", "chapter_path": "all_chapterized_books/107-chapters/15.txt", "summary_path": "finished_summaries/shmoop/Far From the Madding Crowd/section_14_part_0.txt", "book_id": "Far From the Madding Crowd.chapter 15", "summary_id": "chapter 15"}
{"bid": "107", "is_aggregate": false, "source": "shmoop", "chapter_path": "all_chapterized_books/107-chapters/16.txt", "summary_path": "finished_summaries/shmoop/Far From the Madding Crowd/section_15_part_0.txt", "book_id": "Far From the Madding Crowd.chapter 16", "summary_id": "chapter 16"}
{"bid": "107", "is_aggregate": false, "source": "shmoop", "chapter_path": "all_chapterized_books/107-chapters/17.txt", "summary_path": "finished_summaries/shmoop/Far From the Madding Crowd/section_16_part_0.txt", "book_id": "Far From the Madding Crowd.chapter 17", "summary_id": "chapter 17"}
{"bid": "107", "is_aggregate": false, "source": "shmoop", "chapter_path": "all_chapterized_books/107-chapters/18.txt", "summary_path": "finished_summaries/shmoop/Far From the Madding Crowd/section_17_part_0.txt", "book_id": "Far From the Madding Crowd.chapter 18", "summary_id": "chapter 18"}
{"bid": "107", "is_aggregate": false, "source": "shmoop", "chapter_path": "all_chapterized_books/107-chapters/19.txt", "summary_path": "finished_summaries/shmoop/Far From the Madding Crowd/section_18_part_0.txt", "book_id": "Far From the Madding Crowd.chapter 19", "summary_id": "chapter 19"}
{"bid": "107", "is_aggregate": false, "source": "shmoop", "chapter_path": "all_chapterized_books/107-chapters/20.txt", "summary_path": "finished_summaries/shmoop/Far From the Madding Crowd/section_19_part_0.txt", "book_id": "Far From the Madding Crowd.chapter 20", "summary_id": "chapter 20"}
{"bid": "107", "is_aggregate": false, "source": "shmoop", "chapter_path": "all_chapterized_books/107-chapters/21.txt", "summary_path": "finished_summaries/shmoop/Far From the Madding Crowd/section_20_part_0.txt", "book_id": "Far From the Madding Crowd.chapter 21", "summary_id": "chapter 21"}
{"bid": "107", "is_aggregate": false, "source": "shmoop", "chapter_path": "all_chapterized_books/107-chapters/22.txt", "summary_path": "finished_summaries/shmoop/Far From the Madding Crowd/section_21_part_0.txt", "book_id": "Far From the Madding Crowd.chapter 22", "summary_id": "chapter 22"}
{"bid": "107", "is_aggregate": false, "source": "shmoop", "chapter_path": "all_chapterized_books/107-chapters/23.txt", "summary_path": "finished_summaries/shmoop/Far From the Madding Crowd/section_22_part_0.txt", "book_id": "Far From the Madding Crowd.chapter 23", "summary_id": "chapter 23"}
{"bid": "107", "is_aggregate": false, "source": "shmoop", "chapter_path": "all_chapterized_books/107-chapters/24.txt", "summary_path": "finished_summaries/shmoop/Far From the Madding Crowd/section_23_part_0.txt", "book_id": "Far From the Madding Crowd.chapter 24", "summary_id": "chapter 24"}
{"bid": "107", "is_aggregate": false, "source": "shmoop", "chapter_path": "all_chapterized_books/107-chapters/25.txt", "summary_path": "finished_summaries/shmoop/Far From the Madding Crowd/section_24_part_0.txt", "book_id": "Far From the Madding Crowd.chapter 25", "summary_id": "chapter 25"}
{"bid": "107", "is_aggregate": false, "source": "shmoop", "chapter_path": "all_chapterized_books/107-chapters/26.txt", "summary_path": "finished_summaries/shmoop/Far From the Madding Crowd/section_25_part_0.txt", "book_id": "Far From the Madding Crowd.chapter 26", "summary_id": "chapter 26"}
{"bid": "107", "is_aggregate": false, "source": "shmoop", "chapter_path": "all_chapterized_books/107-chapters/27.txt", "summary_path": "finished_summaries/shmoop/Far From the Madding Crowd/section_26_part_0.txt", "book_id": "Far From the Madding Crowd.chapter 27", "summary_id": "chapter 27"}
{"bid": "107", "is_aggregate": false, "source": "shmoop", "chapter_path": "all_chapterized_books/107-chapters/28.txt", "summary_path": "finished_summaries/shmoop/Far From the Madding Crowd/section_27_part_0.txt", "book_id": "Far From the Madding Crowd.chapter 28", "summary_id": "chapter 28"}
{"bid": "107", "is_aggregate": false, "source": "shmoop", "chapter_path": "all_chapterized_books/107-chapters/29.txt", "summary_path": "finished_summaries/shmoop/Far From the Madding Crowd/section_28_part_0.txt", "book_id": "Far From the Madding Crowd.chapter 29", "summary_id": "chapter 29"}
{"bid": "107", "is_aggregate": false, "source": "shmoop", "chapter_path": "all_chapterized_books/107-chapters/30.txt", "summary_path": "finished_summaries/shmoop/Far From the Madding Crowd/section_29_part_0.txt", "book_id": "Far From the Madding Crowd.chapter 30", "summary_id": "chapter 30"}
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{"bid": "107", "is_aggregate": false, "source": "shmoop", "chapter_path": "all_chapterized_books/107-chapters/35.txt", "su
gitextract_i4mtabdf/
├── CODEOWNERS
├── CODE_OF_CONDUCT.md
├── LICENSE.txt
├── README.md
├── SECURITY.md
├── alignments/
│ ├── book-level-summary-alignments/
│ │ ├── book_summaries_aligned_test.jsonl
│ │ ├── book_summaries_aligned_train.jsonl
│ │ └── book_summaries_aligned_val.jsonl
│ ├── chapter-level-summary-alignments/
│ │ ├── chapter_summary_aligned_test_split.jsonl
│ │ ├── chapter_summary_aligned_train_split.jsonl
│ │ └── chapter_summary_aligned_val_split.jsonl
│ ├── chapter_summary_aligned.jsonl.aggregate_splits
│ └── paragraph-level-summary-alignments/
│ ├── align_data_bi_encoder_paraphrase.py
│ └── gather_data.py
├── requirements.txt
└── scripts/
├── data_cleaning/
│ ├── basic_clean.py
│ ├── clean_summaries.py
│ └── split_aggregate_chaps_all_sources.py
└── data_collection/
├── bookwolf/
│ ├── get_summaries.py
│ ├── get_works.py
│ └── literature_links.tsv.pruned
├── cliffnotes/
│ ├── get_summaries.py
│ ├── get_works.py
│ └── literature_links.tsv.pruned
├── gradesaver/
│ ├── get_summaries.py
│ ├── get_works.py
│ └── literature_links.tsv.pruned
├── novelguide/
│ ├── get_summaries.py
│ ├── get_works.py
│ └── literature_links.tsv.pruned
├── pinkmonkey/
│ ├── get_summaries.py
│ ├── get_works.py
│ └── literature_links.tsv.pruned
├── shmoop/
│ ├── get_summaries.py
│ ├── get_works.py
│ └── literature_links.tsv.pruned
├── sparknotes/
│ ├── get_summaries.py
│ ├── get_works.py
│ └── literature_links.tsv.pruned
└── thebestnotes/
├── get_summaries.py
├── get_works.py
└── literature_links.tsv.pruned
SYMBOL INDEX (51 symbols across 19 files) FILE: alignments/paragraph-level-summary-alignments/align_data_bi_encoder_paraphrase.py function merge_text_paragraphs (line 51) | def merge_text_paragraphs(paragraphs, min_sent=3, max_sent=12): function align_data_greedy_matching (line 96) | def align_data_greedy_matching(similarity_matrix): function align_data_stable_matching (line 106) | def align_data_stable_matching(similarity_matrix, text_capacity): function compute_similarities_bi_encoder (line 147) | def compute_similarities_bi_encoder(paragraphs, summaries): function gather_data (line 157) | def gather_data(alignments_bi_encoder_paraphrase, paragraphs, summaries,... function visualize_alignments (line 176) | def visualize_alignments(similarity_matrix, alignments, title, output_di... function aggregate_paragraph_summary_alignments (line 198) | def aggregate_paragraph_summary_alignments(examples): function main (line 229) | def main(args): FILE: alignments/paragraph-level-summary-alignments/gather_data.py function fix_leftover_headers (line 22) | def fix_leftover_headers(summary_content): function fix_prefix_punctuation (line 40) | def fix_prefix_punctuation(summary_content): function fix_prefix_quotations (line 62) | def fix_prefix_quotations(summary_content): function fix_unclosed_quotations (line 92) | def fix_unclosed_quotations(summary_content): function fix_noncapitalized_prefix (line 113) | def fix_noncapitalized_prefix(summary_content): function fix_short_sentences (line 135) | def fix_short_sentences(summary_content): function main (line 171) | def main(args): FILE: scripts/data_cleaning/clean_summaries.py function clean_summary (line 27) | def clean_summary(source): FILE: scripts/data_cleaning/split_aggregate_chaps_all_sources.py function romanToInt (line 38) | def romanToInt(s): function save_separated_summaries (line 55) | def save_separated_summaries(separated_summaries, summary_json, summary_... function replace_pat2 (line 89) | def replace_pat2(matched_str): function separate_mulitple_summaries (line 105) | def separate_mulitple_summaries(summary_content, section_name_prefix, su... function remove_prefixes_line (line 189) | def remove_prefixes_line(line): function remove_prefixes_summary (line 235) | def remove_prefixes_summary(summary): FILE: scripts/data_collection/bookwolf/get_summaries.py function get_overview_paragraphs (line 42) | def get_overview_paragraphs(overview_links, specific_summary_dir): function get_section_paragraphs (line 78) | def get_section_paragraphs(section_links, specific_summary_dir): FILE: scripts/data_collection/bookwolf/get_works.py function scrape_index_pages (line 23) | def scrape_index_pages(seed_page): FILE: scripts/data_collection/cliffnotes/get_summaries.py function wrap_data (line 32) | def wrap_data(name, summary, analysis, url): function scrape_section_continuation (line 41) | def scrape_section_continuation(parent_soup, section_header): FILE: scripts/data_collection/cliffnotes/get_works.py function scrape_index_pages (line 22) | def scrape_index_pages(seed_page): FILE: scripts/data_collection/gradesaver/get_works.py function scrape_index_pages (line 28) | def scrape_index_pages(seed_page): FILE: scripts/data_collection/novelguide/get_summaries.py function hasNumbers (line 31) | def hasNumbers(inputString): function get_section_level_data (line 34) | def get_section_level_data(section_links): FILE: scripts/data_collection/novelguide/get_works.py function scrape_index_pages (line 26) | def scrape_index_pages(seed_page): FILE: scripts/data_collection/pinkmonkey/get_summaries.py function hasNumbers (line 37) | def hasNumbers(inputString): function chapter_section_check (line 40) | def chapter_section_check(link_text_lower, link_text_not_lower): function remove_toc (line 46) | def remove_toc(text): function get_overview_paragraphs (line 56) | def get_overview_paragraphs(overview, specific_summary_dir): function save_section_para (line 98) | def save_section_para(section_text, section_title, section_link, specifi... function get_section_paragraphs (line 113) | def get_section_paragraphs(page_url, specific_summary_dir): FILE: scripts/data_collection/pinkmonkey/get_works.py function scrape_index_pages (line 26) | def scrape_index_pages(seed_page): FILE: scripts/data_collection/shmoop/get_summaries.py function wrap_data (line 32) | def wrap_data(name, summary, analysis, url): function get_summary (line 41) | def get_summary(summary_infos): FILE: scripts/data_collection/shmoop/get_works.py function generate_page_links (line 23) | def generate_page_links(base_url, category_name, max_pages): function scrape_index_pages (line 27) | def scrape_index_pages(links): FILE: scripts/data_collection/sparknotes/get_summaries.py function wrap_data (line 30) | def wrap_data(name, summary, analysis, url): function get_summary (line 45) | def get_summary(summary_info): FILE: scripts/data_collection/sparknotes/get_works.py function scrape_index_pages (line 24) | def scrape_index_pages(seed_page): FILE: scripts/data_collection/thebestnotes/get_summaries.py function unify_title (line 40) | def unify_title(title): function get_overview_paragraphs (line 45) | def get_overview_paragraphs(overview): function get_section_paragraphs (line 89) | def get_section_paragraphs(section, section_titles, section_title_orig, ... function save_section_para (line 184) | def save_section_para(section_paragraphs, section_titles, section_title_... FILE: scripts/data_collection/thebestnotes/get_works.py function scrape_index_pages (line 28) | def scrape_index_pages(seed_page):
Condensed preview — 42 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (5,646K chars).
[
{
"path": "CODEOWNERS",
"chars": 140,
"preview": "# Comment line immediately above ownership line is reserved for related gus information. Please be careful while editing"
},
{
"path": "CODE_OF_CONDUCT.md",
"chars": 5273,
"preview": "Salesforce Open Source Community Code of Conduct\n\n## About the Code of Conduct\n\nEquality is a core value at Salesforce. "
},
{
"path": "LICENSE.txt",
"chars": 1482,
"preview": "Copyright (c) 2021, Salesforce.com, Inc.\nAll rights reserved.\n\nRedistribution and use in source and binary forms, with o"
},
{
"path": "README.md",
"chars": 6560,
"preview": "# BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization\nAuthors: [Wojciech Kryściński](https://twitter"
},
{
"path": "SECURITY.md",
"chars": 398,
"preview": "Security\n\nPlease report any security issue to [security@salesforce.com](mailto:security@salesforce.com)\nas soon as it is"
},
{
"path": "alignments/book-level-summary-alignments/book_summaries_aligned_test.jsonl",
"chars": 10092,
"preview": "{\"bid\": \"28054\", \"source\": \"gradesaver\", \"title\": \"The Brothers Karamazov\", \"summary_path\": \"finished_summaries/gradesav"
},
{
"path": "alignments/book-level-summary-alignments/book_summaries_aligned_train.jsonl",
"chars": 66236,
"preview": "{\"bid\": \"20\", \"source\": \"gradesaver\", \"title\": \"Paradise Lost\", \"summary_path\": \"finished_summaries/gradesaver/Paradise "
},
{
"path": "alignments/book-level-summary-alignments/book_summaries_aligned_val.jsonl",
"chars": 9701,
"preview": "{\"bid\": \"1798\", \"source\": \"sparknotes\", \"title\": \"Timon of Athens\", \"summary_path\": \"finished_summaries/sparknotes/Timon"
},
{
"path": "alignments/chapter-level-summary-alignments/chapter_summary_aligned_test_split.jsonl",
"chars": 423294,
"preview": "{\"bid\": \"1232\", \"is_aggregate\": true, \"source\": \"gradesaver\", \"chapter_path\": \"all_chapterized_books/1232-chapters/chapt"
},
{
"path": "alignments/chapter-level-summary-alignments/chapter_summary_aligned_train_split.jsonl",
"chars": 2779106,
"preview": "{\"bid\": \"27681\", \"is_aggregate\": true, \"source\": \"cliffnotes\", \"chapter_path\": \"all_chapterized_books/27681-chapters/cha"
},
{
"path": "alignments/chapter-level-summary-alignments/chapter_summary_aligned_val_split.jsonl",
"chars": 425918,
"preview": "{\"bid\": \"1023\", \"is_aggregate\": true, \"source\": \"gradesaver\", \"chapter_path\": \"all_chapterized_books/1023-chapters/chapt"
},
{
"path": "alignments/chapter_summary_aligned.jsonl.aggregate_splits",
"chars": 1232170,
"preview": "{\"summary_path\": \"cleaning_phase/gradesaver/The Prince/section_3_part_0.txt\", \"splits\": [{\"bid\": \"1232\", \"is_aggregate\":"
},
{
"path": "alignments/paragraph-level-summary-alignments/align_data_bi_encoder_paraphrase.py",
"chars": 12003,
"preview": "\"\"\"\n/*\n * Copyright (c) 2021, salesforce.com, inc.\n * All rights reserved.\n * SPDX-License-Identifier: BSD-3-Clause\n * F"
},
{
"path": "alignments/paragraph-level-summary-alignments/gather_data.py",
"chars": 8521,
"preview": "\"\"\"\n/*\n * Copyright (c) 2021, salesforce.com, inc.\n * All rights reserved.\n * SPDX-License-Identifier: BSD-3-Clause\n * F"
},
{
"path": "requirements.txt",
"chars": 169,
"preview": "sentence_transformers==1.2.0\nmatplotlib==3.4.2\nnumpy==1.19.5\nspacy==3.0.3\nmatching==1.4\nnltk==3.6.2\ntqdm==4.49.0\nbeautif"
},
{
"path": "scripts/data_cleaning/basic_clean.py",
"chars": 2743,
"preview": "\"\"\"\n/*\n * Copyright (c) 2021, salesforce.com, inc.\n * All rights reserved.\n * SPDX-License-Identifier: BSD-3-Clause\n * F"
},
{
"path": "scripts/data_cleaning/clean_summaries.py",
"chars": 17240,
"preview": "\"\"\"\n/*\n * Copyright (c) 2021, salesforce.com, inc.\n * All rights reserved.\n * SPDX-License-Identifier: BSD-3-Clause\n * F"
},
{
"path": "scripts/data_cleaning/split_aggregate_chaps_all_sources.py",
"chars": 16068,
"preview": "\"\"\"\n/*\n * Copyright (c) 2021, salesforce.com, inc.\n * All rights reserved.\n * SPDX-License-Identifier: BSD-3-Clause\n * F"
},
{
"path": "scripts/data_collection/bookwolf/get_summaries.py",
"chars": 7396,
"preview": "\"\"\"\n/*\n * Copyright (c) 2021, salesforce.com, inc.\n * All rights reserved.\n * SPDX-License-Identifier: BSD-3-Clause\n * F"
},
{
"path": "scripts/data_collection/bookwolf/get_works.py",
"chars": 1746,
"preview": "\"\"\"\n/*\n * Copyright (c) 2021, salesforce.com, inc.\n * All rights reserved.\n * SPDX-License-Identifier: BSD-3-Clause\n * F"
},
{
"path": "scripts/data_collection/bookwolf/literature_links.tsv.pruned",
"chars": 1335,
"preview": "King Lear\thttps://web.archive.org/web/20210226213001/http://www.bookwolf.com/Free_Booknotes/King_Lear_free_booknotes/kin"
},
{
"path": "scripts/data_collection/cliffnotes/get_summaries.py",
"chars": 5926,
"preview": "\n\"\"\"\n/*\n * Copyright (c) 2021, salesforce.com, inc.\n * All rights reserved.\n * SPDX-License-Identifier: BSD-3-Clause\n * "
},
{
"path": "scripts/data_collection/cliffnotes/get_works.py",
"chars": 1588,
"preview": "\"\"\"\n/*\n * Copyright (c) 2021, salesforce.com, inc.\n * All rights reserved.\n * SPDX-License-Identifier: BSD-3-Clause\n * F"
},
{
"path": "scripts/data_collection/cliffnotes/literature_links.tsv.pruned",
"chars": 13306,
"preview": "The Taming of the Shrew\thttps://web.archive.org/web/20201107055349/https://www.cliffsnotes.com/literature/t/the-taming-o"
},
{
"path": "scripts/data_collection/gradesaver/get_summaries.py",
"chars": 7577,
"preview": "\"\"\"\n/*\n * Copyright (c) 2021, salesforce.com, inc.\n * All rights reserved.\n * SPDX-License-Identifier: BSD-3-Clause\n * F"
},
{
"path": "scripts/data_collection/gradesaver/get_works.py",
"chars": 2242,
"preview": "\"\"\"\n/*\n * Copyright (c) 2021, salesforce.com, inc.\n * All rights reserved.\n * SPDX-License-Identifier: BSD-3-Clause\n * F"
},
{
"path": "scripts/data_collection/gradesaver/literature_links.tsv.pruned",
"chars": 15589,
"preview": "The Prince\thttps://web.archive.org/web/20210417180108/https://www.gradesaver.com/the-prince\nSense and Sensibility\thttps:"
},
{
"path": "scripts/data_collection/novelguide/get_summaries.py",
"chars": 7842,
"preview": "\"\"\"\n/*\n * Copyright (c) 2021, salesforce.com, inc.\n * All rights reserved.\n * SPDX-License-Identifier: BSD-3-Clause\n * F"
},
{
"path": "scripts/data_collection/novelguide/get_works.py",
"chars": 2325,
"preview": "\"\"\"\n/*\n * Copyright (c) 2021, salesforce.com, inc.\n * All rights reserved.\n * SPDX-License-Identifier: BSD-3-Clause\n * F"
},
{
"path": "scripts/data_collection/novelguide/literature_links.tsv.pruned",
"chars": 7599,
"preview": "Consolation of Philosophy\thttps://web.archive.org/web/20210212220448/https://www.novelguide.com/consolation-of-philosoph"
},
{
"path": "scripts/data_collection/pinkmonkey/get_summaries.py",
"chars": 9954,
"preview": "\"\"\"\n/*\n * Copyright (c) 2021, salesforce.com, inc.\n * All rights reserved.\n * SPDX-License-Identifier: BSD-3-Clause\n * F"
},
{
"path": "scripts/data_collection/pinkmonkey/get_works.py",
"chars": 2626,
"preview": "\"\"\"\n/*\n * Copyright (c) 2021, salesforce.com, inc.\n * All rights reserved.\n * SPDX-License-Identifier: BSD-3-Clause\n * F"
},
{
"path": "scripts/data_collection/pinkmonkey/literature_links.tsv.pruned",
"chars": 6603,
"preview": "Portrait of a Lady\thttps://web.archive.org/web/20180820033733/http://www.pinkmonkey.com/booknotes/monkeynotes/pmPortrait"
},
{
"path": "scripts/data_collection/shmoop/get_summaries.py",
"chars": 4968,
"preview": "\"\"\"\n/*\n * Copyright (c) 2021, salesforce.com, inc.\n * All rights reserved.\n * SPDX-License-Identifier: BSD-3-Clause\n * F"
},
{
"path": "scripts/data_collection/shmoop/get_works.py",
"chars": 2084,
"preview": "\"\"\"\n/*\n * Copyright (c) 2021, salesforce.com, inc.\n * All rights reserved.\n * SPDX-License-Identifier: BSD-3-Clause\n * F"
},
{
"path": "scripts/data_collection/shmoop/literature_links.tsv.pruned",
"chars": 17155,
"preview": "Romeo and Juliet\thttps://web.archive.org/web/20210624200133/https://www.shmoop.com/study-guides/literature/romeo-and-jul"
},
{
"path": "scripts/data_collection/sparknotes/get_summaries.py",
"chars": 7705,
"preview": "\"\"\"\n/*\n * Copyright (c) 2021, salesforce.com, inc.\n * All rights reserved.\n * SPDX-License-Identifier: BSD-3-Clause\n * F"
},
{
"path": "scripts/data_collection/sparknotes/get_works.py",
"chars": 1780,
"preview": "\"\"\"\n/*\n * Copyright (c) 2021, salesforce.com, inc.\n * All rights reserved.\n * SPDX-License-Identifier: BSD-3-Clause\n * F"
},
{
"path": "scripts/data_collection/sparknotes/literature_links.tsv.pruned",
"chars": 10533,
"preview": "The House of the Seven Gables\thttps://web.archive.org/web/20210223161114/https://www.sparknotes.com/lit/sevengables/\nThe"
},
{
"path": "scripts/data_collection/thebestnotes/get_summaries.py",
"chars": 10786,
"preview": "\"\"\"\n/*\n * Copyright (c) 2021, salesforce.com, inc.\n * All rights reserved.\n * SPDX-License-Identifier: BSD-3-Clause\n * F"
},
{
"path": "scripts/data_collection/thebestnotes/get_works.py",
"chars": 2917,
"preview": "\"\"\"\n/*\n * Copyright (c) 2021, salesforce.com, inc.\n * All rights reserved.\n * SPDX-License-Identifier: BSD-3-Clause\n * F"
},
{
"path": "scripts/data_collection/thebestnotes/literature_links.tsv.pruned",
"chars": 1340,
"preview": "A Tale of Two Cities\thttps://web.archive.org/web/20190903025221/http://thebestnotes.com/booknotes/Tale_Of_Two_Cities_Dic"
}
]
About this extraction
This page contains the full source code of the salesforce/booksum GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 42 files (4.9 MB), approximately 1.3M tokens, and a symbol index with 51 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.