Repository: Lichang-Chen/InstructZero Branch: main Commit: 911f01912bb5 Files: 110 Total size: 18.1 MB Directory structure: gitextract_xr63eqto/ ├── .gitignore ├── InstructZero/ │ └── experiments/ │ ├── args.py │ ├── automatic_prompt_engineer/ │ │ ├── __init__.py │ │ ├── ape.py │ │ ├── config.py │ │ ├── data.py │ │ ├── evaluate.py │ │ ├── generate.py │ │ ├── llm.py │ │ └── template.py │ ├── configs/ │ │ └── instruction_induction.yaml │ ├── data/ │ │ └── instruction_induction/ │ │ ├── README.md │ │ ├── induction_input/ │ │ │ ├── active_to_passive.json │ │ │ ├── antonyms.json │ │ │ ├── cause_and_effect.json │ │ │ ├── common_concept.json │ │ │ ├── diff.json │ │ │ ├── first_word_letter.json │ │ │ ├── informal_to_formal.json │ │ │ ├── larger_animal.json │ │ │ ├── letters_list.json │ │ │ ├── negation.json │ │ │ ├── num_to_verbal.json │ │ │ ├── orthography_starts_with.json │ │ │ ├── rhymes.json │ │ │ ├── second_word_letter.json │ │ │ ├── sentence_similarity.json │ │ │ ├── sentiment.json │ │ │ ├── singular_to_plural.json │ │ │ ├── sum.json │ │ │ ├── synonyms.json │ │ │ ├── taxonomy_animal.json │ │ │ ├── translation_en-de.json │ │ │ ├── translation_en-es.json │ │ │ ├── translation_en-fr.json │ │ │ └── word_in_context.json │ │ ├── load_data.py │ │ └── raw/ │ │ ├── execute/ │ │ │ ├── active_to_passive.json │ │ │ ├── antonyms.json │ │ │ ├── auto_categorization.json │ │ │ ├── auto_debugging.json │ │ │ ├── cause_and_effect.json │ │ │ ├── common_concept.json │ │ │ ├── diff.json │ │ │ ├── first_word_letter.json │ │ │ ├── informal_to_formal.json │ │ │ ├── larger_animal.json │ │ │ ├── letters_list.json │ │ │ ├── negation.json │ │ │ ├── num_to_verbal.json │ │ │ ├── object_counting.json │ │ │ ├── odd_one_out.json │ │ │ ├── orthography_starts_with.json │ │ │ ├── periodic_elements.json │ │ │ ├── rhymes.json │ │ │ ├── second_word_letter.json │ │ │ ├── sentence_similarity.json │ │ │ ├── sentiment.json │ │ │ ├── singular_to_plural.json │ │ │ ├── sum.json │ │ │ ├── synonyms.json │ │ │ ├── taxonomy_animal.json │ │ │ ├── translation_en-de.json │ │ │ ├── translation_en-es.json │ │ │ ├── translation_en-fr.json │ │ │ ├── word_in_context.json │ │ │ ├── word_sorting.json │ │ │ └── word_unscrambling.json │ │ └── induce/ │ │ ├── active_to_passive.json │ │ ├── antonyms.json │ │ ├── ascii_word_recognition.json │ │ ├── auto_categorization.json │ │ ├── auto_debugging.json │ │ ├── cause_and_effect.json │ │ ├── common_concept.json │ │ ├── cs_algorithms.json │ │ ├── diff.json │ │ ├── first_word_letter.json │ │ ├── informal_to_formal.json │ │ ├── larger_animal.json │ │ ├── letters_list.json │ │ ├── negation.json │ │ ├── num_to_verbal.json │ │ ├── object_counting.json │ │ ├── odd_one_out.json │ │ ├── orthography_starts_with.json │ │ ├── periodic_elements.json │ │ ├── rhymes.json │ │ ├── second_word_letter.json │ │ ├── sentence_similarity.json │ │ ├── sentiment.json │ │ ├── singular_to_plural.json │ │ ├── sum.json │ │ ├── synonyms.json │ │ ├── taxonomy_animal.json │ │ ├── translation_en-de.json │ │ ├── translation_en-es.json │ │ ├── translation_en-fr.json │ │ ├── word_in_context.json │ │ ├── word_sorting.json │ │ └── word_unscrambling.json │ ├── evaluation/ │ │ └── instruction_induction/ │ │ ├── __init__.py │ │ ├── exec_accuracy.py │ │ └── utility.py │ ├── instruction_coupled_kernel.py │ ├── misc.py │ ├── run_instructzero.py │ └── run_instructzero.sh ├── README.md └── requirements.txt ================================================ FILE CONTENTS ================================================ ================================================ FILE: .gitignore ================================================ # Byte-compiled / optimized / DLL files __pycache__/ *.py[cod] *$py.class # C extensions *.so # Distribution / packaging .Python build/ develop-eggs/ dist/ downloads/ eggs/ .eggs/ lib/ lib64/ parts/ sdist/ var/ wheels/ share/python-wheels/ *.egg-info/ .installed.cfg *.egg MANIFEST # PyInstaller # Usually these files are written by a python script from a template # before PyInstaller builds the exe, so as to inject date/other infos into it. *.manifest *.spec # Installer logs pip-log.txt pip-delete-this-directory.txt # Unit test / coverage reports htmlcov/ .tox/ .nox/ .coverage .coverage.* .cache nosetests.xml coverage.xml *.cover *.py,cover .hypothesis/ .pytest_cache/ cover/ # Translations *.mo *.pot # Django stuff: *.log local_settings.py db.sqlite3 db.sqlite3-journal # Flask stuff: instance/ .webassets-cache # Scrapy stuff: .scrapy # Sphinx documentation docs/_build/ # PyBuilder .pybuilder/ target/ # Jupyter Notebook .ipynb_checkpoints # IPython profile_default/ ipython_config.py # pyenv # For a library or package, you might want to ignore these files since the code is # intended to run in multiple environments; 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For a more nuclear # option (not recommended) you can uncomment the following to ignore the entire idea folder. #.idea/ InstructZero/automatic_prompt_engineer.egg-info InstructZero/build InstructZero/dist .vscode/ InstructZero/experiments/__pycache__ ================================================ FILE: InstructZero/experiments/args.py ================================================ import argparse def parse_args(): parser = argparse.ArgumentParser(description="InstructZero pipeline") parser.add_argument( "--task", type=str, default=None, help="The name of the dataset to use (via the datasets library).", ) parser.add_argument( "--random_proj", type=str, default="uniform", help="The initialization of the projection matrix A." ) parser.add_argument( "--intrinsic_dim", type=int, default=10, help="The instrinsic dimension of the projection matrix" ) parser.add_argument( "--n_prompt_tokens", type=int, default=5, help="The number of prompt tokens." ) parser.add_argument( "--HF_cache_dir", type=str, default="/data/bobchen/vicuna-13b", help="Your vicuna directory" ) parser.add_argument( "--seed", type=int, default=0, help="Set the seed." ) parser.add_argument( "--alpha", type=float, default=1.0, help="Set the alpha if the initialization of the projection matrix A is std." ) parser.add_argument( "--beta", type=float, default=3.0, help="Set the beta if the initialization of the projection matrix A is std." ) parser.add_argument( "--api_model", type=str, default='chatgpt', help="The black-box api model." ) parser.add_argument( "--model_name", type=str, default='vicuna', help="The model name of the open-source LLM." ) args = parser.parse_args() return args ================================================ FILE: InstructZero/experiments/automatic_prompt_engineer/__init__.py ================================================ ================================================ FILE: InstructZero/experiments/automatic_prompt_engineer/ape.py ================================================ import random from . import generate, evaluate, config, template, data, llm def get_simple_prompt_gen_template(prompt_gen_template, prompt_gen_mode): if prompt_gen_template is None: if prompt_gen_mode == 'forward': prompt_gen_template = "I gave a friend an instruction. Based on the instruction they produced the following input-output pairs:\n\n[full_DEMO]\n\nThe instruction was to [APE]" elif prompt_gen_mode == 'insert': prompt_gen_template = None else: raise ValueError( 'Invalid prompt_gen_mode: {}'.format(prompt_gen_mode)) return prompt_gen_template def simple_ape(dataset, eval_template='Instruction: [PROMPT]\nInput: [INPUT]\nOutput: [OUTPUT]', prompt_gen_template=None, demos_template='Input: [INPUT]\nOutput: [OUTPUT]', eval_model='text-davinci-002', prompt_gen_model='text-davinci-002', prompt_gen_mode='forward', num_prompts=50, eval_rounds=20, prompt_gen_batch_size=200, eval_batch_size=500): """ Function that wraps the find_prompts function to make it easier to use. Design goals: include default values for most parameters, and automatically fill out the config dict for the user in a way that fits almost all use cases. The main shortcuts this function takes are: - Uses the same dataset for prompt generation, evaluation, and few shot demos - Uses UCB algorithm for evaluation - Fixes the number of prompts per round to num_prompts // 3 (so the first three rounds will sample every prompt once) - Fixes the number of samples per prompt per round to 5 Parameters: dataset: The dataset to use for evaluation. eval_template: The template for the evaluation queries. prompt_gen_template: The template to use for prompt generation. demos_template: The template for the demos. eval_model: The model to use for evaluation. prompt_gen_model: The model to use for prompt generation. prompt_gen_mode: The mode to use for prompt generation. num_prompts: The number of prompts to generate during the search. eval_rounds: The number of evaluation rounds to run. Returns: An evaluation result and a function to evaluate the prompts with new inputs. """ prompt_gen_template = get_simple_prompt_gen_template( prompt_gen_template, prompt_gen_mode) conf = config.simple_config( eval_model, prompt_gen_model, prompt_gen_mode, num_prompts, eval_rounds, prompt_gen_batch_size, eval_batch_size) return find_prompts(eval_template, demos_template, dataset, dataset, conf, prompt_gen_template=prompt_gen_template) def simple_eval(dataset, prompts, eval_template='Instruction: [PROMPT]\nInput: [INPUT]\nOutput: [OUTPUT]', demos_template='Input: [INPUT]\nOutput: [OUTPUT]', eval_model='text-davinci-002', num_samples=50): """ Function that wraps the evaluate_prompts function to make it easier to use. Parameters: dataset: The dataset to use for evaluation. prompts: The list of prompts to evaluate. eval_template: The template for the evaluation queries. demos_template: The template for the demos. eval_model: The model to use for evaluation. Returns: An evaluation result. """ eval_template = template.EvalTemplate(eval_template) demos_template = template.DemosTemplate(demos_template) conf = config.update_config({}, 'configs/default.yaml') conf['evaluation']['model']['gpt_config']['model'] = eval_model conf['evaluation']['num_samples'] = min(len(dataset[0]), num_samples) res = evaluate.evalute_prompts( prompts, eval_template, dataset, demos_template, dataset, conf['evaluation']['method'], conf['evaluation']) return res def simple_estimate_cost(dataset, eval_template='Instruction: [PROMPT]\nInput: [INPUT]\nOutput: [OUTPUT]', prompt_gen_template=None, demos_template='Input: [INPUT]\nOutput: [OUTPUT]', eval_model='text-davinci-002', prompt_gen_model='text-davinci-002', prompt_gen_mode='forward', num_prompts=50, eval_rounds=20, prompt_gen_batch_size=200, eval_batch_size=500): prompt_gen_template = get_simple_prompt_gen_template( prompt_gen_template, prompt_gen_mode) conf = config.simple_config( eval_model, prompt_gen_model, prompt_gen_mode, num_prompts, eval_rounds, prompt_gen_batch_size, eval_batch_size) return estimate_cost(eval_template, demos_template, dataset, dataset, conf, prompt_gen_template=prompt_gen_template) def find_prompts(eval_template, demos_template, prompt_gen_data, eval_data, conf, base_conf='configs/default.yaml', few_shot_data=None, prompt_gen_template=None): """ Function to generate prompts using APE. Parameters: eval_template: The template for the evaluation queries. demos_template: The template for the demos. prompt_gen_data: The data to use for prompt generation. eval_data: The data to use for evaluation. conf: The configuration dictionary. few_shot_data: The data to use for demonstrations during eval (not implemented yet). eval_method: The evaluation method to use. ('likelihood') prompt_gen_template: The template to use for prompt generation. verbosity: The verbosity level. Returns: An evaluation result. Also returns a function to evaluate the prompts with new inputs. """ conf = config.update_config(conf, base_conf) # Generate prompts eval_template = template.EvalTemplate(eval_template) demos_template = template.DemosTemplate(demos_template) if prompt_gen_template is None: prompt_gen_template = eval_template.convert_to_generation_template() else: prompt_gen_template = template.GenerationTemplate(prompt_gen_template) if few_shot_data is None: few_shot_data = prompt_gen_data import pdb; pdb.set_trace() print('Generating prompts...') prompts = generate.generate_prompts( prompt_gen_template, demos_template, prompt_gen_data, conf['generation']) print('Model returned {} prompts. Deduplicating...'.format(len(prompts))) prompts = list(set(prompts)) print('Deduplicated to {} prompts.'.format(len(prompts))) print('Evaluating prompts...') res = evaluate.evalute_prompts(prompts, eval_template, eval_data, demos_template, few_shot_data, conf['evaluation']['method'], conf['evaluation']) print('Finished evaluating.') demo_fn = evaluate.demo_function(eval_template, conf['demo']) return res, demo_fn def evaluate_prompts(prompts, eval_template, eval_data, demos_template, few_shot_data, conf, base_conf='configs/default.yaml'): """ Function to evaluate a list of prompts. Parameters: prompts: The list of prompts to evaluate. eval_template: The template for the evaluation queries. eval_data: The data to use for evaluation. eval_method: The evaluation method to use. ('likelihood') conf: The configuration dictionary. base_conf: The base configuration file. Returns: A list of prompts and their scores, sorted by score. """ conf = config.update_config(conf, base_conf) # Generate prompts eval_template = template.EvalTemplate(eval_template) demos_template = template.DemosTemplate(demos_template) print('Evaluating prompts...') res = evaluate.evaluate_prompts( prompts, eval_template, eval_data, demos_template, few_shot_data, conf['evaluation']['method'], conf['evaluation']) print('Finished evaluating.') return res def estimate_cost(eval_template, demos_template, prompt_gen_data, eval_data, conf, base_conf='configs/default.yaml', few_shot_data=None, prompt_gen_template=None, eval_query=None): conf = config.update_config(conf, base_conf) max_prompt_len = conf['generation']['model']['gpt_config']['max_tokens'] num_prompts = conf['generation']['num_prompts_per_subsample'] * \ conf['generation']['num_subsamples'] eval_method = conf['evaluation']['method'] if eval_method == 'bandits': num_prompts_per_round = conf['evaluation']['num_prompts_per_round'] if num_prompts_per_round < 1: num_prompts_per_round = int( num_prompts * num_prompts_per_round) num_evals = conf['evaluation']['rounds'] * \ num_prompts_per_round * \ conf['evaluation']['base_eval_config']['num_samples'] else: num_evals = conf['evaluation']['num_samples'] * num_prompts # Compute cost of prompt generation queries = get_generation_query( eval_template, demos_template, conf, prompt_gen_data, prompt_gen_template, num_query=50) query_cost = 0 for query in queries: query_cost += llm.gpt_get_estimated_cost( conf['generation']['model'], query, max_prompt_len) total_query_cost = query_cost / len(queries) * num_prompts # Compute cost of evaluation if few_shot_data is None: few_shot_data = prompt_gen_data queries = get_evaluation_query( eval_template, demos_template, conf, eval_data, few_shot_data, eval_query, num_query=50) if conf['evaluation']['method'] == 'bandits': model_name = conf['evaluation']['base_eval_config']['model'] else: model_name = conf['evaluation']['model'] query_cost = 0 for query in queries: query_cost += llm.gpt_get_estimated_cost(model_name, query, 0) total_eval_cost = query_cost / len(queries) * num_evals return total_query_cost + total_eval_cost def get_generation_query(eval_template, demos_template, conf, prompt_gen_data, prompt_gen_template=None, num_query=1): # Generate prompts eval_template = template.EvalTemplate(eval_template) demos_template = template.DemosTemplate(demos_template) if prompt_gen_template is None: prompt_gen_template = eval_template.convert_to_generation_template() else: prompt_gen_template = template.GenerationTemplate(prompt_gen_template) # First, generate a few prompt queries: queries = [] for _ in range(num_query): subsampled_data = data.subsample_data( prompt_gen_data, conf['generation']['num_demos']) queries.append(generate.get_query(prompt_gen_template, demos_template, subsampled_data)) return queries def get_evaluation_query(eval_template, demos_template, conf, eval_data, few_shot_data, eval_query=None, num_query=1 ): eval_template = template.EvalTemplate(eval_template) demos_template = template.DemosTemplate(demos_template) if conf['evaluation']['method'] == 'bandits': eval_base_method = conf['evaluation']['base_eval_method'] num_few_shot = conf['evaluation']['base_eval_config']['num_few_shot'] else: eval_base_method = conf['evaluation']['method'] num_few_shot = conf['evaluation']['num_few_shot'] if eval_query is None: if eval_base_method == 'likelihood': from automatic_prompt_engineer.evaluation import likelihood eval_query = likelihood.get_query else: raise ValueError( 'Cannot estimate costs for: {}'.format(eval_base_method)) max_prompt_len = conf['generation']['model']['gpt_config']['max_tokens'] filler_prompt = 'GGGG' * max_prompt_len queries = [] for _ in range(num_query): idx = random.randint(0, len(eval_data[0]) - 1) input_, output_ = eval_data[0][idx], eval_data[1][idx] demo_data = data.subsample_data(few_shot_data, num_few_shot) query = eval_query(filler_prompt, eval_template, input_, output_, demo_data, demos_template)[0] queries.append(query) return queries ================================================ FILE: InstructZero/experiments/automatic_prompt_engineer/config.py ================================================ import os import yaml def update_config(config, base_config='configs/default.yaml'): # Get default config from yaml with open(os.path.join(os.path.dirname(__file__), base_config)) as f: default_config = yaml.safe_load(f) # Update default config with user config # Note that the config is a nested dictionary, so we need to update it recursively def update(d, u): for k, v in u.items(): if isinstance(v, dict): d[k] = update(d.get(k, {}), v) else: d[k] = v return d return update(default_config, config) def simple_config(eval_model, prompt_gen_model, prompt_gen_mode, num_prompts, eval_rounds, prompt_gen_batch_size, eval_batch_size): """Returns a config and splits the data into sensible chunks.""" conf = update_config({}, 'configs/bandits.yaml') conf['generation']['model']['gpt_config']['model'] = prompt_gen_model if prompt_gen_mode == 'insert': conf['generation']['model']['name'] = 'GPT_insert' conf['generation']['model']['batch_size'] = 1 elif prompt_gen_mode == 'forward': conf['generation']['model']['name'] = 'GPT_forward' conf['generation']['model']['batch_size'] = prompt_gen_batch_size conf['generation']['num_subsamples'] = num_prompts // 10 conf['generation']['num_prompts_per_subsample'] = 10 conf['evaluation']['base_eval_config']['model']['gpt_config']['model'] = eval_model conf['evaluation']['base_eval_config']['model']['batch_size'] = eval_batch_size conf['evaluation']['num_prompts_per_round'] = 0.334 conf['evaluation']['rounds'] = eval_rounds conf['evaluation']['base_eval_config']['num_samples'] = 5 return conf ================================================ FILE: InstructZero/experiments/automatic_prompt_engineer/data.py ================================================ import random SEED=0 def subsample_data(data, subsample_size): """ Subsample data. Data is in the form of a tuple of lists. """ #random.seed(SEED) inputs, outputs = data assert len(inputs) == len(outputs) indices = random.sample(range(len(inputs)), subsample_size) inputs = [inputs[i] for i in indices] outputs = [outputs[i] for i in indices] return inputs, outputs def create_split(data, split_size): """ Split data into two parts. Data is in the form of a tuple of lists. """ random.seed(SEED) inputs, outputs = data assert len(inputs) == len(outputs) indices = random.sample(range(len(inputs)), split_size) inputs1 = [inputs[i] for i in indices] outputs1 = [outputs[i] for i in indices] inputs2 = [inputs[i] for i in range(len(inputs)) if i not in indices] outputs2 = [outputs[i] for i in range(len(inputs)) if i not in indices] return (inputs1, outputs1), (inputs2, outputs2) ================================================ FILE: InstructZero/experiments/automatic_prompt_engineer/evaluate.py ================================================ from abc import ABC, abstractmethod from . import llm def get_eval_method(eval_method): """ Returns the evaluation method object. Parameters: eval_method: The evaluation method to use. ('likelihood') Returns: An evaluation method object. """ if callable(eval_method): return eval_method if eval_method == 'likelihood': from automatic_prompt_engineer.evaluation import likelihood return likelihood.likelihood_evaluator elif eval_method == 'bandits': from automatic_prompt_engineer.evaluation import bandits return bandits.bandits_evaluator else: raise ValueError('Invalid evaluation method.') def evaluate_prompts(prompts, eval_template, eval_data, demos_template, few_shot_data, eval_method, config): """ Returns the scores for a list of prompts. Parameters: prompts: A list of prompts. eval_template: The template for the evaluation queries. eval_data: The data to use for evaluation. eval_method: The evaluation method to use. ('likelihood') config: The configuration dictionary. Returns: An evaluation result object. """ eval_method = get_eval_method(eval_method) return eval_method(prompts, eval_template, eval_data, demos_template, few_shot_data, config) def demo_function(eval_template, config): """ Returns a function that can be manually test the LLM with a chosen prompt. Parameters: eval_template: The template for the evaluation queries. config: The configuration dictionary. Returns: A function that takes a prompt and returns a demo. """ model = llm.model_from_config(config['model']) def fn(prompt, inputs): if not isinstance(inputs, list): inputs = [inputs] queries = [] for input_ in inputs: query = eval_template.fill(prompt=prompt, input=input_) queries.append(query) outputs = model.generate_text( queries, n=1) return [out.strip().split('\n')[0] for out in outputs] return fn class EvaluationResult(ABC): @abstractmethod def sorted(self, method='default'): """Get the results in the form of a sorted prompt and score list. Has a method argument to support sorting by various metrics.""" pass @abstractmethod def in_place(self, method='default'): """Get the results in the form of a list of prompts and scores without sorting.""" pass ================================================ FILE: InstructZero/experiments/automatic_prompt_engineer/generate.py ================================================ from . import data, llm def get_query(prompt_gen_template, demos_template, subsampled_data): """ Returns a query for the prompt generator. A query is the prompt that is sent to the LLM. Parameters: prompt_gen_template: The template for the prompt generator queries. demos_template: The template for the demonstrations. subsampled_data: The data to use for the demonstrations. Returns: A query for the prompt generator. """ inputs, outputs = subsampled_data demos = demos_template.fill(subsampled_data) return prompt_gen_template.fill(input=inputs[0], output=outputs[0], full_demo=demos) def generate_prompts(prompt_gen_template, demos_template, prompt_gen_data, config): """ Generates prompts using the prompt generator. Parameters: prompt_gen_template: The template for the prompt generator queries. demos_template: The template for the demonstrations. prompt_gen_data: The data to use for prompt generation. config: The configuration dictionary. Returns: A list of prompts. """ queries = [] for _ in range(config['num_subsamples']): subsampled_data = data.subsample_data( prompt_gen_data, config['num_demos']) queries.append(get_query(prompt_gen_template, demos_template, subsampled_data)) # Instantiate the LLM model = llm.model_from_config(config['model'], disable_tqdm=False) prompts = model.generate_text( queries, n=config['num_prompts_per_subsample']) return prompts ================================================ FILE: InstructZero/experiments/automatic_prompt_engineer/llm.py ================================================ """Contains classes for querying large language models.""" import os import time from tqdm import tqdm from abc import ABC, abstractmethod from transformers import LlamaForCausalLM, LlamaTokenizer from transformers import AutoModelForSeq2SeqLM, AutoTokenizer import openai import torch import asyncio from typing import Any gpt_costs_per_thousand = { 'davinci': 0.0200, 'curie': 0.0020, 'babbage': 0.0005, 'ada': 0.0004 } async def dispatch_openai_requests( messages_list: list[list[dict[str,Any]]], model: str, temperature: float, max_tokens: int, frequency_penalty: int, presence_penalty: int ) -> list[str]: """Dispatches requests to OpenAI API asynchronously. Args: messages_list: List of messages to be sent to OpenAI ChatCompletion API. model: OpenAI model to use. temperature: Temperature to use for the model. max_tokens: Maximum number of tokens to generate. top_p: Top p to use for the model. Returns: List of responses from OpenAI API. """ # for x in messages_list: # try: async_responses = [openai.ChatCompletion.acreate( model=model, messages=x, temperature=temperature, max_tokens=max_tokens, frequency_penalty=frequency_penalty, presence_penalty=presence_penalty) for x in messages_list] return await asyncio.gather(*async_responses) def model_from_config(config, disable_tqdm=True): """Returns a model based on the config.""" model_type = config["name"] if model_type == "GPT_forward": return GPT_Forward(config, disable_tqdm=disable_tqdm) elif model_type == "GPT_insert": return GPT_Insert(config, disable_tqdm=disable_tqdm) elif model_type == "Llama_Forward": return Llama_Forward(config, disable_tqdm=disable_tqdm) raise ValueError(f"Unknown model type: {model_type}") class LLM(ABC): """Abstract base class for large language models.""" @abstractmethod def generate_text(self, prompt): """Generates text from the model. Parameters: prompt: The prompt to use. This can be a string or a list of strings. Returns: A list of strings. """ pass @abstractmethod def log_probs(self, text, log_prob_range): """Returns the log probs of the text. Parameters: text: The text to get the log probs of. This can be a string or a list of strings. log_prob_range: The range of characters within each string to get the log_probs of. This is a list of tuples of the form (start, end). Returns: A list of log probs. """ pass class Llama_Forward(LLM): """Wrapper for llama.""" def __init__(self, config, needs_confirmation=False, disable_tqdm=True): """Initializes the model.""" SIZE=13 MODEL_DIR = '/data/bobchen/llama4trans/llama-{}b'.format(SIZE) TOKENIZER_DIR = '/data/bobchen/llama4trans/tokenizer' self.config = config self.needs_confirmation = needs_confirmation self.disable_tqdm = disable_tqdm self.model=LlamaForCausalLM.from_pretrained(MODEL_DIR, device_map="auto") self.tokenizer=LlamaTokenizer.from_pretrained(TOKENIZER_DIR) def auto_reduce_n(self, fn, prompt, n): """Reduces n by half until the function succeeds.""" try: return fn(prompt, n) except BatchSizeException as e: if n == 1: raise e return self.auto_reduce_n(fn, prompt, n // 2) + self.auto_reduce_n(fn, prompt, n // 2) def generate_text(self, prompts, n): if not isinstance(prompts, list): prompts = [prompts] text = [] for prompt in prompts: input_ids = self.tokenizer(prompt, return_tensors="pt").input_ids.cuda() # Generate generate_ids = self.model.generate(input_ids, max_new_tokens=32) text.append(self.tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]) return text def complete(self, prompt, n): """Generates text from the model and returns the log prob data.""" if not isinstance(prompt, list): prompt = [prompt] batch_size = self.config['batch_size'] prompt_batches = [prompt[i:i + batch_size] for i in range(0, len(prompt), batch_size)] if not self.disable_tqdm: print( f"[{self.config['name']}] Generating {len(prompt) * n} completions, " f"split into {len(prompt_batches)} batches of size {batch_size * n}") res = [] for prompt_batch in tqdm(prompt_batches, disable=self.disable_tqdm): res += self.__complete(prompt_batch, n) return res def log_probs(self, text, log_prob_range=None): """Returns the log probs of the text.""" if not isinstance(text, list): text = [text] if self.needs_confirmation: self.confirm_cost(text, 1, 0) batch_size = self.config['batch_size'] text_batches = [text[i:i + batch_size] for i in range(0, len(text), batch_size)] if log_prob_range is None: log_prob_range_batches = [None] * len(text) else: assert len(log_prob_range) == len(text) log_prob_range_batches = [log_prob_range[i:i + batch_size] for i in range(0, len(log_prob_range), batch_size)] if not self.disable_tqdm: print( f"[{self.config['name']}] Getting log probs for {len(text)} strings, " f"split into {len(text_batches)} batches of (maximum) size {batch_size}") log_probs = [] tokens = [] for text_batch, log_prob_range in tqdm(list(zip(text_batches, log_prob_range_batches)), disable=self.disable_tqdm): log_probs_batch, tokens_batch = self.__log_probs( text_batch, log_prob_range) log_probs += log_probs_batch tokens += tokens_batch return log_probs, tokens class Flan_T5(LLM): """Wrapper for llama.""" def __init__(self, config, needs_confirmation=False, disable_tqdm=True): """Initializes the model.""" self.device="cuda:1" self.config = config self.needs_confirmation = needs_confirmation self.disable_tqdm = disable_tqdm self.model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-xxl", torch_dtype=torch.float16).to(device=self.device) self.tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-xxl") def auto_reduce_n(self, fn, prompt, n): """Reduces n by half until the function succeeds.""" try: return fn(prompt, n) except BatchSizeException as e: if n == 1: raise e return self.auto_reduce_n(fn, prompt, n // 2) + self.auto_reduce_n(fn, prompt, n // 2) def generate_text(self, prompts, n): if not isinstance(prompts, list): prompts = [prompts] # prompt_batches = [prompt[i:i + batch_size] # for i in range(0, len(prompt), batch_size)] # if not self.disable_tqdm: # print( # f"[{self.config['name']}] Generating {len(prompt) * n} completions, " # f"split into {len(prompt_batches)} batches of size {batch_size * n}") text = [] batch_size=10 for i in range(len(prompts) // batch_size): tmp_prompts = prompts[i*batch_size:(i+1)*batch_size] input_ids = self.tokenizer(tmp_prompts, padding='longest', return_tensors="pt").input_ids.to(device=self.device) outputs = self.model.generate(input_ids, max_new_tokens=32) text += self.tokenizer.batch_decode(outputs, skip_special_tokens=True) # batch_size = int(len(prompts)/2) # prompts1 = prompts[:batch_size] # prompts2 = prompts[batch_size:] # input_ids1 = self.tokenizer(prompts1, padding='longest', return_tensors="pt").input_ids.to(device=self.device) # input_ids2 = self.tokenizer(prompts2, padding='longest', return_tensors="pt").input_ids.to(device=self.device) # outputs1 = self.model.generate(input_ids1, max_new_tokens=20) # text += self.tokenizer.batch_decode(outputs1, skip_special_tokens=True) # outputs2 = self.model.generate(input_ids2, max_new_tokens=20) # text += self.tokenizer.batch_decode(outputs2, skip_special_tokens=True) # batch_size=1 return text def complete(self, prompt, n): """Generates text from the model and returns the log prob data.""" if not isinstance(prompt, list): prompt = [prompt] batch_size = self.config['batch_size'] prompt_batches = [prompt[i:i + batch_size] for i in range(0, len(prompt), batch_size)] if not self.disable_tqdm: print( f"[{self.config['name']}] Generating {len(prompt) * n} completions, " f"split into {len(prompt_batches)} batches of size {batch_size * n}") res = [] for prompt_batch in tqdm(prompt_batches, disable=self.disable_tqdm): res += self.__complete(prompt_batch, n) return res def log_probs(self, text, log_prob_range=None): """Returns the log probs of the text.""" if not isinstance(text, list): text = [text] if self.needs_confirmation: self.confirm_cost(text, 1, 0) batch_size = self.config['batch_size'] text_batches = [text[i:i + batch_size] for i in range(0, len(text), batch_size)] if log_prob_range is None: log_prob_range_batches = [None] * len(text) else: assert len(log_prob_range) == len(text) log_prob_range_batches = [log_prob_range[i:i + batch_size] for i in range(0, len(log_prob_range), batch_size)] if not self.disable_tqdm: print( f"[{self.config['name']}] Getting log probs for {len(text)} strings, " f"split into {len(text_batches)} batches of (maximum) size {batch_size}") log_probs = [] tokens = [] for text_batch, log_prob_range in tqdm(list(zip(text_batches, log_prob_range_batches)), disable=self.disable_tqdm): log_probs_batch, tokens_batch = self.__log_probs( text_batch, log_prob_range) log_probs += log_probs_batch tokens += tokens_batch return log_probs, tokens class GPT_Forward(LLM): """Wrapper for ChatGPT.""" def __init__(self, config, needs_confirmation=False, disable_tqdm=True): """Initializes the model.""" self.config = config self.needs_confirmation = needs_confirmation self.disable_tqdm = disable_tqdm def confirm_cost(self, texts, n, max_tokens): total_estimated_cost = 0 for text in texts: total_estimated_cost += gpt_get_estimated_cost( self.config, text, max_tokens) * n print(f"Estimated cost: ${total_estimated_cost:.2f}") # Ask the user to confirm in the command line if os.getenv("LLM_SKIP_CONFIRM") is None: confirm = input("Continue? (y/n) ") if confirm != 'y': raise Exception("Aborted.") def auto_reduce_n(self, fn, prompt, n): """Reduces n by half until the function succeeds.""" try: return fn(prompt, n) except BatchSizeException as e: if n == 1: raise e return self.auto_reduce_n(fn, prompt, n // 2) + self.auto_reduce_n(fn, prompt, n // 2) def generate_text(self, prompt, n): if not isinstance(prompt, list): prompt = [prompt] if self.needs_confirmation: self.confirm_cost( prompt, n, self.config['gpt_config']['max_tokens']) batch_size = self.config['batch_size'] prompt_batches = [prompt[i:i + batch_size] for i in range(0, len(prompt), batch_size)] if not self.disable_tqdm: print( f"[{self.config['name']}] Generating {len(prompt) * n} completions, " f"split into {len(prompt_batches)} batches of size {batch_size * n}") text = [] for prompt_batch in tqdm(prompt_batches, disable=self.disable_tqdm): # text += self.auto_reduce_n(self.__generate_text, prompt_batch, n) text += self.__async_generate(prompt_batch, n) return text def complete(self, prompt, n): """Generates text from the model and returns the log prob data.""" if not isinstance(prompt, list): prompt = [prompt] batch_size = self.config['batch_size'] prompt_batches = [prompt[i:i + batch_size] for i in range(0, len(prompt), batch_size)] if not self.disable_tqdm: print( f"[{self.config['name']}] Generating {len(prompt) * n} completions, " f"split into {len(prompt_batches)} batches of size {batch_size * n}") res = [] for prompt_batch in tqdm(prompt_batches, disable=self.disable_tqdm): res += self.__complete(prompt_batch, n) return res def log_probs(self, text, log_prob_range=None): """Returns the log probs of the text.""" if not isinstance(text, list): text = [text] if self.needs_confirmation: self.confirm_cost(text, 1, 0) batch_size = self.config['batch_size'] text_batches = [text[i:i + batch_size] for i in range(0, len(text), batch_size)] if log_prob_range is None: log_prob_range_batches = [None] * len(text) else: assert len(log_prob_range) == len(text) log_prob_range_batches = [log_prob_range[i:i + batch_size] for i in range(0, len(log_prob_range), batch_size)] if not self.disable_tqdm: print( f"[{self.config['name']}] Getting log probs for {len(text)} strings, " f"split into {len(text_batches)} batches of (maximum) size {batch_size}") log_probs = [] tokens = [] for text_batch, log_prob_range in tqdm(list(zip(text_batches, log_prob_range_batches)), disable=self.disable_tqdm): log_probs_batch, tokens_batch = self.__log_probs( text_batch, log_prob_range) log_probs += log_probs_batch tokens += tokens_batch return log_probs, tokens def __generate_text(self, prompt, n): """Generates text from the model.""" if not isinstance(prompt, list): text = [prompt] config = self.config['gpt_config'].copy() config['n'] = n answer = [] # If there are any [APE] tokens in the prompts, remove them for i in range(len(prompt)): prompt_single = prompt[i].replace('[APE]', '').strip() response = None while response is None: try: response = openai.ChatCompletion.create( model="gpt-3.5-turbo", messages=[{"role": "user", "content": prompt_single}], temperature=0.0, max_tokens=256, frequency_penalty=0, presence_penalty=0) except Exception as e: if 'is greater than the maximum' in str(e): raise BatchSizeException() print(e) print('Retrying...') time.sleep(5) try: # print(response['choices'][0]["message"]["content"]) answer.append(response['choices'][0]["message"]["content"]) except Exception: answer.append('do not have reponse from chatgpt') return answer def __async_generate(self, prompt, n): ml = [[{"role": "user", "content": p.replace('[APE]', '').strip()}] for p in prompt] answer = None while answer is None: try: predictions = asyncio.run(dispatch_openai_requests( messages_list = ml, model='gpt-3.5-turbo', temperature=0, max_tokens=256, frequency_penalty=0, presence_penalty=0 ) ) except Exception as e: # if 'is greater than the maximum' in str(e): # raise BatchSizeException() print(e) print("Retrying....") time.sleep(20) try: answer = [x['choices'][0]['message']['content'] for x in predictions] except Exception: print("Please Wait!") return answer # try: # reply = openai.ChatCompletion.create( # model="gpt-3.5-turbo", # messages=[{"role": "user", "content": input}], # temperature=0.0, # max_tokens=args.max_length_cot, # frequency_penalty=0, # presence_penalty=0) # reply = reply['choices'][0]["message"]["content"].replace('\n\n', '') def __complete(self, prompt, n): """Generates text from the model and returns the log prob data.""" if not isinstance(prompt, list): text = [prompt] config = self.config['gpt_config'].copy() config['n'] = n # If there are any [APE] tokens in the prompts, remove them for i in range(len(prompt)): prompt[i] = prompt[i].replace('[APE]', '').strip() response = None while response is None: try: response = openai.Completion.create( **config, prompt=prompt) except Exception as e: print(e) print('Retrying...') time.sleep(5) return response['choices'] def __log_probs(self, text, log_prob_range=None): """Returns the log probs of the text.""" if not isinstance(text, list): text = [text] if log_prob_range is not None: for i in range(len(text)): lower_index, upper_index = log_prob_range[i] assert lower_index < upper_index assert lower_index >= 0 assert upper_index - 1 < len(text[i]) config = self.config['gpt_config'].copy() config['logprobs'] = 1 config['echo'] = True config['max_tokens'] = 0 if isinstance(text, list): text = [f'\n{text[i]}' for i in range(len(text))] else: text = f'\n{text}' response = None while response is None: try: response = openai.Completion.create( **config, prompt=text) # import pdb;pdb.set_trace() except Exception as e: print(e) print('Retrying...') time.sleep(5) log_probs = [response['choices'][i]['logprobs']['token_logprobs'][1:] for i in range(len(response['choices']))] tokens = [response['choices'][i]['logprobs']['tokens'][1:] for i in range(len(response['choices']))] offsets = [response['choices'][i]['logprobs']['text_offset'][1:] for i in range(len(response['choices']))] # Subtract 1 from the offsets to account for the newline for i in range(len(offsets)): offsets[i] = [offset - 1 for offset in offsets[i]] if log_prob_range is not None: # First, we need to find the indices of the tokens in the log probs # that correspond to the tokens in the log_prob_range for i in range(len(log_probs)): lower_index, upper_index = self.get_token_indices( offsets[i], log_prob_range[i]) log_probs[i] = log_probs[i][lower_index:upper_index] tokens[i] = tokens[i][lower_index:upper_index] return log_probs, tokens def get_token_indices(self, offsets, log_prob_range): """Returns the indices of the tokens in the log probs that correspond to the tokens in the log_prob_range.""" # For the lower index, find the highest index that is less than or equal to the lower index lower_index = 0 for i in range(len(offsets)): if offsets[i] <= log_prob_range[0]: lower_index = i else: break upper_index = len(offsets) for i in range(len(offsets)): if offsets[i] >= log_prob_range[1]: upper_index = i break return lower_index, upper_index class Claude_Forward(LLM): """Wrapper for Claude.""" def __init__(self, config, needs_confirmation=False, disable_tqdm=True): """Initializes the model.""" self.config = config self.needs_confirmation = needs_confirmation self.disable_tqdm = disable_tqdm def confirm_cost(self, texts, n, max_tokens): total_estimated_cost = 0 for text in texts: total_estimated_cost += gpt_get_estimated_cost( self.config, text, max_tokens) * n print(f"Estimated cost: ${total_estimated_cost:.2f}") # Ask the user to confirm in the command line if os.getenv("LLM_SKIP_CONFIRM") is None: confirm = input("Continue? (y/n) ") if confirm != 'y': raise Exception("Aborted.") def auto_reduce_n(self, fn, prompt, n): """Reduces n by half until the function succeeds.""" try: return fn(prompt, n) except BatchSizeException as e: if n == 1: raise e return self.auto_reduce_n(fn, prompt, n // 2) + self.auto_reduce_n(fn, prompt, n // 2) def generate_text(self, prompt, n): if not isinstance(prompt, list): prompt = [prompt] if self.needs_confirmation: self.confirm_cost( prompt, n, self.config['gpt_config']['max_tokens']) batch_size = self.config['batch_size'] prompt_batches = [prompt[i:i + batch_size] for i in range(0, len(prompt), batch_size)] if not self.disable_tqdm: print( f"[{self.config['name']}] Generating {len(prompt) * n} completions, " f"split into {len(prompt_batches)} batches of size {batch_size * n}") text = [] for prompt_batch in tqdm(prompt_batches, disable=self.disable_tqdm): # text += self.auto_reduce_n(self.__generate_text, prompt_batch, n) text += self.__async_generate(prompt_batch, n) return text def complete(self, prompt, n): """Generates text from the model and returns the log prob data.""" if not isinstance(prompt, list): prompt = [prompt] batch_size = self.config['batch_size'] prompt_batches = [prompt[i:i + batch_size] for i in range(0, len(prompt), batch_size)] if not self.disable_tqdm: print( f"[{self.config['name']}] Generating {len(prompt) * n} completions, " f"split into {len(prompt_batches)} batches of size {batch_size * n}") res = [] for prompt_batch in tqdm(prompt_batches, disable=self.disable_tqdm): res += self.__complete(prompt_batch, n) return res def log_probs(self, text, log_prob_range=None): """Returns the log probs of the text.""" if not isinstance(text, list): text = [text] if self.needs_confirmation: self.confirm_cost(text, 1, 0) batch_size = self.config['batch_size'] text_batches = [text[i:i + batch_size] for i in range(0, len(text), batch_size)] if log_prob_range is None: log_prob_range_batches = [None] * len(text) else: assert len(log_prob_range) == len(text) log_prob_range_batches = [log_prob_range[i:i + batch_size] for i in range(0, len(log_prob_range), batch_size)] if not self.disable_tqdm: print( f"[{self.config['name']}] Getting log probs for {len(text)} strings, " f"split into {len(text_batches)} batches of (maximum) size {batch_size}") log_probs = [] tokens = [] for text_batch, log_prob_range in tqdm(list(zip(text_batches, log_prob_range_batches)), disable=self.disable_tqdm): log_probs_batch, tokens_batch = self.__log_probs( text_batch, log_prob_range) log_probs += log_probs_batch tokens += tokens_batch return log_probs, tokens def __generate_text(self, prompt, n): """Generates text from the model.""" if not isinstance(prompt, list): text = [prompt] config = self.config['gpt_config'].copy() config['n'] = n answer = [] # If there are any [APE] tokens in the prompts, remove them for i in range(len(prompt)): prompt_single = prompt[i].replace('[APE]', '').strip() response = None while response is None: try: response = openai.ChatCompletion.create( model="gpt-3.5-turbo", messages=[{"role": "user", "content": prompt_single}], temperature=0.0, max_tokens=256, frequency_penalty=0, presence_penalty=0) except Exception as e: if 'is greater than the maximum' in str(e): raise BatchSizeException() print(e) print('Retrying...') time.sleep(5) try: # print(response['choices'][0]["message"]["content"]) answer.append(response['choices'][0]["message"]["content"]) except Exception: answer.append('do not have reponse from chatgpt') return answer def __async_generate(self, prompt, n): ml = [[{"role": "user", "content": p.replace('[APE]', '').strip()}] for p in prompt] answer = None while answer is None: try: predictions = asyncio.run(dispatch_openai_requests( messages_list = ml, model='gpt-3.5-turbo', temperature=0, max_tokens=256, frequency_penalty=0, presence_penalty=0 ) ) except Exception as e: # if 'is greater than the maximum' in str(e): # raise BatchSizeException() print(e) print("Retrying....") time.sleep(20) try: answer = [x['choices'][0]['message']['content'] for x in predictions] except Exception: print("Please Wait!") return answer # try: # reply = openai.ChatCompletion.create( # model="gpt-3.5-turbo", # messages=[{"role": "user", "content": input}], # temperature=0.0, # max_tokens=args.max_length_cot, # frequency_penalty=0, # presence_penalty=0) # reply = reply['choices'][0]["message"]["content"].replace('\n\n', '') def __complete(self, prompt, n): """Generates text from the model and returns the log prob data.""" if not isinstance(prompt, list): text = [prompt] config = self.config['gpt_config'].copy() config['n'] = n # If there are any [APE] tokens in the prompts, remove them for i in range(len(prompt)): prompt[i] = prompt[i].replace('[APE]', '').strip() response = None while response is None: try: response = openai.Completion.create( **config, prompt=prompt) except Exception as e: print(e) print('Retrying...') time.sleep(5) return response['choices'] def __log_probs(self, text, log_prob_range=None): """Returns the log probs of the text.""" if not isinstance(text, list): text = [text] if log_prob_range is not None: for i in range(len(text)): lower_index, upper_index = log_prob_range[i] assert lower_index < upper_index assert lower_index >= 0 assert upper_index - 1 < len(text[i]) config = self.config['gpt_config'].copy() config['logprobs'] = 1 config['echo'] = True config['max_tokens'] = 0 if isinstance(text, list): text = [f'\n{text[i]}' for i in range(len(text))] else: text = f'\n{text}' response = None while response is None: try: response = openai.Completion.create( **config, prompt=text) # import pdb;pdb.set_trace() except Exception as e: print(e) print('Retrying...') time.sleep(5) log_probs = [response['choices'][i]['logprobs']['token_logprobs'][1:] for i in range(len(response['choices']))] tokens = [response['choices'][i]['logprobs']['tokens'][1:] for i in range(len(response['choices']))] offsets = [response['choices'][i]['logprobs']['text_offset'][1:] for i in range(len(response['choices']))] # Subtract 1 from the offsets to account for the newline for i in range(len(offsets)): offsets[i] = [offset - 1 for offset in offsets[i]] if log_prob_range is not None: # First, we need to find the indices of the tokens in the log probs # that correspond to the tokens in the log_prob_range for i in range(len(log_probs)): lower_index, upper_index = self.get_token_indices( offsets[i], log_prob_range[i]) log_probs[i] = log_probs[i][lower_index:upper_index] tokens[i] = tokens[i][lower_index:upper_index] return log_probs, tokens def get_token_indices(self, offsets, log_prob_range): """Returns the indices of the tokens in the log probs that correspond to the tokens in the log_prob_range.""" # For the lower index, find the highest index that is less than or equal to the lower index lower_index = 0 for i in range(len(offsets)): if offsets[i] <= log_prob_range[0]: lower_index = i else: break upper_index = len(offsets) for i in range(len(offsets)): if offsets[i] >= log_prob_range[1]: upper_index = i break return lower_index, upper_index class GPT_Insert(LLM): def __init__(self, config, needs_confirmation=False, disable_tqdm=True): """Initializes the model.""" self.config = config self.needs_confirmation = needs_confirmation self.disable_tqdm = disable_tqdm def confirm_cost(self, texts, n, max_tokens): total_estimated_cost = 0 for text in texts: total_estimated_cost += gpt_get_estimated_cost( self.config, text, max_tokens) * n print(f"Estimated cost: ${total_estimated_cost:.2f}") # Ask the user to confirm in the command line if os.getenv("LLM_SKIP_CONFIRM") is None: confirm = input("Continue? (y/n) ") if confirm != 'y': raise Exception("Aborted.") def auto_reduce_n(self, fn, prompt, n): """Reduces n by half until the function succeeds.""" try: return fn(prompt, n) except BatchSizeException as e: if n == 1: raise e return self.auto_reduce_n(fn, prompt, n // 2) + self.auto_reduce_n(fn, prompt, n // 2) def generate_text(self, prompt, n): if not isinstance(prompt, list): prompt = [prompt] if self.needs_confirmation: self.confirm_cost( prompt, n, self.config['gpt_config']['max_tokens']) batch_size = self.config['batch_size'] assert batch_size == 1 prompt_batches = [prompt[i:i + batch_size] for i in range(0, len(prompt), batch_size)] if not self.disable_tqdm: print( f"[{self.config['name']}] Generating {len(prompt) * n} completions, split into {len(prompt_batches)} batches of (maximum) size {batch_size * n}") text = [] for prompt_batch in tqdm(prompt_batches, disable=self.disable_tqdm): text += self.auto_reduce_n(self.__generate_text, prompt_batch, n) return text def log_probs(self, text, log_prob_range=None): raise NotImplementedError def __generate_text(self, prompt, n): """Generates text from the model.""" config = self.config['gpt_config'].copy() config['n'] = n # Split prompts into prefixes and suffixes with the [APE] token (do not include the [APE] token in the suffix) prefix = prompt[0].split('[APE]')[0] suffix = prompt[0].split('[APE]')[1] response = None while response is None: try: response = openai.ChatCompletion.create( **config, prompt=prefix, suffix=suffix) except Exception as e: print(e) print('Retrying...') time.sleep(5) # Remove suffix from the generated text texts = [response['choices'][i]['text'].replace(suffix, '') for i in range(len(response['choices']))] return texts def gpt_get_estimated_cost(config, prompt, max_tokens): """Uses the current API costs/1000 tokens to estimate the cost of generating text from the model.""" # Get rid of [APE] token prompt = prompt.replace('[APE]', '') # Get the number of tokens in the prompt n_prompt_tokens = len(prompt) // 4 # Get the number of tokens in the generated text total_tokens = n_prompt_tokens + max_tokens engine = config['gpt_config']['model'].split('-')[1] costs_per_thousand = gpt_costs_per_thousand if engine not in costs_per_thousand: # Try as if it is a fine-tuned model engine = config['gpt_config']['model'].split(':')[0] costs_per_thousand = { 'davinci': 0.1200, 'curie': 0.0120, 'babbage': 0.0024, 'ada': 0.0016 } price = costs_per_thousand[engine] * total_tokens / 1000 return price class BatchSizeException(Exception): pass ================================================ FILE: InstructZero/experiments/automatic_prompt_engineer/template.py ================================================ class InitQATemplate: """ Takes a prompt template and provides methods for filling in blanks. The format is as follows: [APE] is where text will be generated by the LLM. [full_DEMO] is where the full demo will be inserted. [INPUT] is where the input to the first demo will be inserted. [OUTPUT] is where the output from the first demo will be inserted. """ def __init__(self, template): self.template = template # Check that the template is valid # There should be exactly one [APE] token # assert self.template.count('[APE]') == 1 def fill(self, full_demo=''): """ Fills in the template with the given values. """ return self.template.replace('[full_DEMO]', full_demo) class GenerationTemplate: """ Takes a prompt template and provides methods for filling in blanks. The format is as follows: [APE] is where text will be generated by the LLM. [full_DEMO] is where the full demo will be inserted. [INPUT] is where the input to the first demo will be inserted. [OUTPUT] is where the output from the first demo will be inserted. """ def __init__(self, template): self.template = template # Check that the template is valid # There should be exactly one [APE] token # assert self.template.count('[APE]') == 1 def fill(self, full_demo='', input='', output=''): """ Fills in the template with the given values. """ return self.template.replace('[full_DEMO]', full_demo).replace( '[INPUT]', input).replace('[OUTPUT]', output) class EvalTemplate: """ Takes a prompt template and provides methods for filling in blanks. The format is as follows: [PROMPT] is where the prompt will be inserted. [full_DEMO] is where the full demo will be inserted. [INPUT] is where the input to the first demo will be inserted. [OUTPUT] is where the output from the first demo will be inserted. """ def __init__(self, template): self.template = template def fill(self, prompt='', full_demo='', input='', output=''): """ Fills in the template with the given values. """ return self.template.replace('[PROMPT]', prompt).replace( '[full_DEMO]', full_demo).replace('[INPUT]', input).replace('[OUTPUT]', output) def convert_to_generation_template(self): """ Converts the evaluation template to a generation template. """ return GenerationTemplate(self.template.replace('[PROMPT]', '[APE]')) class DemosTemplate: """ Takes a template for the full demo and provides methods for filling in blanks. The format is as follows: [INPUT], [OUTPUT] """ def __init__(self, template, delimiter='\n\n'): self.template = template self.delimiter = delimiter def fill(self, data): """ Fills in the template with the given values. Data is a tuple of lists. """ demos = '' for i, (input_, output_) in enumerate(zip(*data)): demos += self.template.replace('[INPUT]', input_).replace( '[OUTPUT]', output_) if i != len(data[0]) - 1: demos += self.delimiter return demos ================================================ FILE: InstructZero/experiments/configs/instruction_induction.yaml ================================================ generation: num_subsamples: 3 num_demos: 5 num_prompts_per_subsample: 30 model: name: GPT_forward batch_size: 500 gpt_config: model: text-davinci-002 temperature: 0.9 max_tokens: 50 top_p: 0.9 frequency_penalty: 0.0 presence_penalty: 0.0 evaluation: method: exec_accuracy num_samples: 30 num_few_shot: 5 model: name: GPT_forward batch_size: 20 gpt_config: model: text-davinci-002 temperature: 0.7 max_tokens: 200 top_p: 1.0 frequency_penalty: 0.0 presence_penalty: 0.0 demo: model: name: GPT_forward batch_size: 500 gpt_config: model: text-davinci-002 temperature: 0.7 max_tokens: 200 top_p: 1.0 frequency_penalty: 0.0 presence_penalty: 0.0 ================================================ FILE: InstructZero/experiments/data/instruction_induction/README.md ================================================ # Data Data for the instruction induction experiments. Followed We collect another 8 instruction induction tasks besides 24 tasks in [Instruction Induction](https://arxiv.org/abs/2205.10782). ## Content - induction_input: includes the inputs utilized in our experiments on instruction induction. Each input consists of our instruction induction prompt along with five demonstrations of task input-output. - raw: - induce: comprises input-output demonstrations that were utilized in the creation of the instruction induction inputs. - execute: examples that were withheld for evaluating the accuracy of execution. ================================================ FILE: InstructZero/experiments/data/instruction_induction/induction_input/active_to_passive.json ================================================ { "examples": { "1": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The actor encouraged the scientists.\nOutput: The scientists were encouraged by the actor.\n\nInput: The authors thanked the actors.\nOutput: The actors were thanked by the authors.\n\nInput: The secretaries thanked the athlete.\nOutput: The athlete was thanked by the secretaries.\n\nInput: The secretary stopped the presidents.\nOutput: The presidents were stopped by the secretary.\n\nInput: The secretary stopped the manager.\nOutput: The manager was stopped by the secretary.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The actor encouraged the scientists.\nOutput: The scientists were encouraged by the actor.\n\nInput: The authors thanked the actors.\nOutput: The actors were thanked by the authors.\n\nInput: The secretaries thanked the athlete.\nOutput: The athlete was thanked by the secretaries.\n\nInput: The secretary stopped the presidents.\nOutput: The presidents were stopped by the secretary.\n\nInput: The secretary stopped the manager.\nOutput: The manager was stopped by the secretary." } }, "2": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The bankers advised the presidents.\nOutput: The presidents were advised by the bankers.\n\nInput: The athlete avoided the managers.\nOutput: The managers were avoided by the athlete.\n\nInput: The artist introduced the lawyer.\nOutput: The lawyer was introduced by the artist.\n\nInput: The authors advised the student.\nOutput: The student was advised by the authors.\n\nInput: The secretaries thanked the athletes.\nOutput: The athletes were thanked by the secretaries.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The bankers advised the presidents.\nOutput: The presidents were advised by the bankers.\n\nInput: The athlete avoided the managers.\nOutput: The managers were avoided by the athlete.\n\nInput: The artist introduced the lawyer.\nOutput: The lawyer was introduced by the artist.\n\nInput: The authors advised the student.\nOutput: The student was advised by the authors.\n\nInput: The secretaries thanked the athletes.\nOutput: The athletes were thanked by the secretaries." } }, "3": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The presidents supported the senator.\nOutput: The senator was supported by the presidents.\n\nInput: The secretary recommended the students.\nOutput: The students were recommended by the secretary.\n\nInput: The senators encouraged the lawyers.\nOutput: The lawyers were encouraged by the senators.\n\nInput: The authors encouraged the students.\nOutput: The students were encouraged by the authors.\n\nInput: The presidents introduced the athlete.\nOutput: The athlete was introduced by the presidents.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The presidents supported the senator.\nOutput: The senator was supported by the presidents.\n\nInput: The secretary recommended the students.\nOutput: The students were recommended by the secretary.\n\nInput: The senators encouraged the lawyers.\nOutput: The lawyers were encouraged by the senators.\n\nInput: The authors encouraged the students.\nOutput: The students were encouraged by the authors.\n\nInput: The presidents introduced the athlete.\nOutput: The athlete was introduced by the presidents." } }, "4": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The lawyer admired the actor.\nOutput: The actor was admired by the lawyer.\n\nInput: The athletes recognized the judge.\nOutput: The judge was recognized by the athletes.\n\nInput: The authors avoided the banker.\nOutput: The banker was avoided by the authors.\n\nInput: The professor helped the actor.\nOutput: The actor was helped by the professor.\n\nInput: The bankers admired the manager.\nOutput: The manager was admired by the bankers.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The lawyer admired the actor.\nOutput: The actor was admired by the lawyer.\n\nInput: The athletes recognized the judge.\nOutput: The judge was recognized by the athletes.\n\nInput: The authors avoided the banker.\nOutput: The banker was avoided by the authors.\n\nInput: The professor helped the actor.\nOutput: The actor was helped by the professor.\n\nInput: The bankers admired the manager.\nOutput: The manager was admired by the bankers." } }, "5": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The artist avoided the judge.\nOutput: The judge was avoided by the artist.\n\nInput: The secretary believed the banker.\nOutput: The banker was believed by the secretary.\n\nInput: The professors introduced the senators.\nOutput: The senators were introduced by the professors.\n\nInput: The doctor avoided the lawyers.\nOutput: The lawyers were avoided by the doctor.\n\nInput: The senators recognized the actor.\nOutput: The actor was recognized by the senators.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The artist avoided the judge.\nOutput: The judge was avoided by the artist.\n\nInput: The secretary believed the banker.\nOutput: The banker was believed by the secretary.\n\nInput: The professors introduced the senators.\nOutput: The senators were introduced by the professors.\n\nInput: The doctor avoided the lawyers.\nOutput: The lawyers were avoided by the doctor.\n\nInput: The senators recognized the actor.\nOutput: The actor was recognized by the senators." } }, "6": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The senators admired the managers.\nOutput: The managers were admired by the senators.\n\nInput: The student encouraged the tourists.\nOutput: The tourists were encouraged by the student.\n\nInput: The doctor recommended the students.\nOutput: The students were recommended by the doctor.\n\nInput: The tourist helped the artists.\nOutput: The artists were helped by the tourist.\n\nInput: The manager contacted the actor.\nOutput: The actor was contacted by the manager.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The senators admired the managers.\nOutput: The managers were admired by the senators.\n\nInput: The student encouraged the tourists.\nOutput: The tourists were encouraged by the student.\n\nInput: The doctor recommended the students.\nOutput: The students were recommended by the doctor.\n\nInput: The tourist helped the artists.\nOutput: The artists were helped by the tourist.\n\nInput: The manager contacted the actor.\nOutput: The actor was contacted by the manager." } }, "7": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The author introduced the bankers.\nOutput: The bankers were introduced by the author.\n\nInput: The artists admired the athlete.\nOutput: The athlete was admired by the artists.\n\nInput: The senators introduced the banker.\nOutput: The banker was introduced by the senators.\n\nInput: The senators admired the athlete.\nOutput: The athlete was admired by the senators.\n\nInput: The actors believed the manager.\nOutput: The manager was believed by the actors.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The author introduced the bankers.\nOutput: The bankers were introduced by the author.\n\nInput: The artists admired the athlete.\nOutput: The athlete was admired by the artists.\n\nInput: The senators introduced the banker.\nOutput: The banker was introduced by the senators.\n\nInput: The senators admired the athlete.\nOutput: The athlete was admired by the senators.\n\nInput: The actors believed the manager.\nOutput: The manager was believed by the actors." } }, "8": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The doctor recommended the students.\nOutput: The students were recommended by the doctor.\n\nInput: The senators advised the professors.\nOutput: The professors were advised by the senators.\n\nInput: The judge contacted the banker.\nOutput: The banker was contacted by the judge.\n\nInput: The presidents contacted the professor.\nOutput: The professor was contacted by the presidents.\n\nInput: The senators avoided the lawyer.\nOutput: The lawyer was avoided by the senators.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The doctor recommended the students.\nOutput: The students were recommended by the doctor.\n\nInput: The senators advised the professors.\nOutput: The professors were advised by the senators.\n\nInput: The judge contacted the banker.\nOutput: The banker was contacted by the judge.\n\nInput: The presidents contacted the professor.\nOutput: The professor was contacted by the presidents.\n\nInput: The senators avoided the lawyer.\nOutput: The lawyer was avoided by the senators." } }, "9": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The tourists mentioned the manager.\nOutput: The manager was mentioned by the tourists.\n\nInput: The lawyers encouraged the professors.\nOutput: The professors were encouraged by the lawyers.\n\nInput: The managers advised the professors.\nOutput: The professors were advised by the managers.\n\nInput: The actor thanked the senators.\nOutput: The senators were thanked by the actor.\n\nInput: The managers introduced the tourist.\nOutput: The tourist was introduced by the managers.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The tourists mentioned the manager.\nOutput: The manager was mentioned by the tourists.\n\nInput: The lawyers encouraged the professors.\nOutput: The professors were encouraged by the lawyers.\n\nInput: The managers advised the professors.\nOutput: The professors were advised by the managers.\n\nInput: The actor thanked the senators.\nOutput: The senators were thanked by the actor.\n\nInput: The managers introduced the tourist.\nOutput: The tourist was introduced by the managers." } }, "10": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The lawyer helped the banker.\nOutput: The banker was helped by the lawyer.\n\nInput: The artists recognized the senator.\nOutput: The senator was recognized by the artists.\n\nInput: The lawyers recommended the athlete.\nOutput: The athlete was recommended by the lawyers.\n\nInput: The senator believed the banker.\nOutput: The banker was believed by the senator.\n\nInput: The tourist avoided the bankers.\nOutput: The bankers were avoided by the tourist.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The lawyer helped the banker.\nOutput: The banker was helped by the lawyer.\n\nInput: The artists recognized the senator.\nOutput: The senator was recognized by the artists.\n\nInput: The lawyers recommended the athlete.\nOutput: The athlete was recommended by the lawyers.\n\nInput: The senator believed the banker.\nOutput: The banker was believed by the senator.\n\nInput: The tourist avoided the bankers.\nOutput: The bankers were avoided by the tourist." } }, "11": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The professor admired the lawyers.\nOutput: The lawyers were admired by the professor.\n\nInput: The scientist introduced the authors.\nOutput: The authors were introduced by the scientist.\n\nInput: The actors stopped the manager.\nOutput: The manager was stopped by the actors.\n\nInput: The athlete helped the artist.\nOutput: The artist was helped by the athlete.\n\nInput: The artist thanked the lawyers.\nOutput: The lawyers were thanked by the artist.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The professor admired the lawyers.\nOutput: The lawyers were admired by the professor.\n\nInput: The scientist introduced the authors.\nOutput: The authors were introduced by the scientist.\n\nInput: The actors stopped the manager.\nOutput: The manager was stopped by the actors.\n\nInput: The athlete helped the artist.\nOutput: The artist was helped by the athlete.\n\nInput: The artist thanked the lawyers.\nOutput: The lawyers were thanked by the artist." } }, "12": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The professors advised the athlete.\nOutput: The athlete was advised by the professors.\n\nInput: The doctor believed the artists.\nOutput: The artists were believed by the doctor.\n\nInput: The scientist believed the author.\nOutput: The author was believed by the scientist.\n\nInput: The actor recommended the professor.\nOutput: The professor was recommended by the actor.\n\nInput: The secretary supported the actor.\nOutput: The actor was supported by the secretary.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The professors advised the athlete.\nOutput: The athlete was advised by the professors.\n\nInput: The doctor believed the artists.\nOutput: The artists were believed by the doctor.\n\nInput: The scientist believed the author.\nOutput: The author was believed by the scientist.\n\nInput: The actor recommended the professor.\nOutput: The professor was recommended by the actor.\n\nInput: The secretary supported the actor.\nOutput: The actor was supported by the secretary." } }, "13": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The actor helped the senators.\nOutput: The senators were helped by the actor.\n\nInput: The athletes mentioned the bankers.\nOutput: The bankers were mentioned by the athletes.\n\nInput: The tourists mentioned the manager.\nOutput: The manager was mentioned by the tourists.\n\nInput: The athletes mentioned the judges.\nOutput: The judges were mentioned by the athletes.\n\nInput: The students supported the lawyers.\nOutput: The lawyers were supported by the students.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The actor helped the senators.\nOutput: The senators were helped by the actor.\n\nInput: The athletes mentioned the bankers.\nOutput: The bankers were mentioned by the athletes.\n\nInput: The tourists mentioned the manager.\nOutput: The manager was mentioned by the tourists.\n\nInput: The athletes mentioned the judges.\nOutput: The judges were mentioned by the athletes.\n\nInput: The students supported the lawyers.\nOutput: The lawyers were supported by the students." } }, "14": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The professors introduced the senators.\nOutput: The senators were introduced by the professors.\n\nInput: The senators encouraged the lawyers.\nOutput: The lawyers were encouraged by the senators.\n\nInput: The senators avoided the doctor.\nOutput: The doctor was avoided by the senators.\n\nInput: The professor recognized the scientist.\nOutput: The scientist was recognized by the professor.\n\nInput: The lawyer admired the author.\nOutput: The author was admired by the lawyer.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The professors introduced the senators.\nOutput: The senators were introduced by the professors.\n\nInput: The senators encouraged the lawyers.\nOutput: The lawyers were encouraged by the senators.\n\nInput: The senators avoided the doctor.\nOutput: The doctor was avoided by the senators.\n\nInput: The professor recognized the scientist.\nOutput: The scientist was recognized by the professor.\n\nInput: The lawyer admired the author.\nOutput: The author was admired by the lawyer." } }, "15": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The banker avoided the doctors.\nOutput: The doctors were avoided by the banker.\n\nInput: The doctors avoided the athletes.\nOutput: The athletes were avoided by the doctors.\n\nInput: The actor avoided the banker.\nOutput: The banker was avoided by the actor.\n\nInput: The professor believed the senator.\nOutput: The senator was believed by the professor.\n\nInput: The authors recognized the scientist.\nOutput: The scientist was recognized by the authors.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The banker avoided the doctors.\nOutput: The doctors were avoided by the banker.\n\nInput: The doctors avoided the athletes.\nOutput: The athletes were avoided by the doctors.\n\nInput: The actor avoided the banker.\nOutput: The banker was avoided by the actor.\n\nInput: The professor believed the senator.\nOutput: The senator was believed by the professor.\n\nInput: The authors recognized the scientist.\nOutput: The scientist was recognized by the authors." } }, "16": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The judge encouraged the banker.\nOutput: The banker was encouraged by the judge.\n\nInput: The actors avoided the authors.\nOutput: The authors were avoided by the actors.\n\nInput: The author recommended the artists.\nOutput: The artists were recommended by the author.\n\nInput: The managers introduced the student.\nOutput: The student was introduced by the managers.\n\nInput: The doctor recommended the students.\nOutput: The students were recommended by the doctor.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The judge encouraged the banker.\nOutput: The banker was encouraged by the judge.\n\nInput: The actors avoided the authors.\nOutput: The authors were avoided by the actors.\n\nInput: The author recommended the artists.\nOutput: The artists were recommended by the author.\n\nInput: The managers introduced the student.\nOutput: The student was introduced by the managers.\n\nInput: The doctor recommended the students.\nOutput: The students were recommended by the doctor." } }, "17": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The manager recognized the president.\nOutput: The president was recognized by the manager.\n\nInput: The lawyers supported the judge.\nOutput: The judge was supported by the lawyers.\n\nInput: The senators stopped the manager.\nOutput: The manager was stopped by the senators.\n\nInput: The student encouraged the tourists.\nOutput: The tourists were encouraged by the student.\n\nInput: The actor contacted the athlete.\nOutput: The athlete was contacted by the actor.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The manager recognized the president.\nOutput: The president was recognized by the manager.\n\nInput: The lawyers supported the judge.\nOutput: The judge was supported by the lawyers.\n\nInput: The senators stopped the manager.\nOutput: The manager was stopped by the senators.\n\nInput: The student encouraged the tourists.\nOutput: The tourists were encouraged by the student.\n\nInput: The actor contacted the athlete.\nOutput: The athlete was contacted by the actor." } }, "18": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The senators mentioned the actor.\nOutput: The actor was mentioned by the senators.\n\nInput: The artist recognized the judges.\nOutput: The judges were recognized by the artist.\n\nInput: The presidents encouraged the tourists.\nOutput: The tourists were encouraged by the presidents.\n\nInput: The banker admired the lawyer.\nOutput: The lawyer was admired by the banker.\n\nInput: The managers introduced the senators.\nOutput: The senators were introduced by the managers.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The senators mentioned the actor.\nOutput: The actor was mentioned by the senators.\n\nInput: The artist recognized the judges.\nOutput: The judges were recognized by the artist.\n\nInput: The presidents encouraged the tourists.\nOutput: The tourists were encouraged by the presidents.\n\nInput: The banker admired the lawyer.\nOutput: The lawyer was admired by the banker.\n\nInput: The managers introduced the senators.\nOutput: The senators were introduced by the managers." } }, "19": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The bankers supported the author.\nOutput: The author was supported by the bankers.\n\nInput: The senators recommended the tourists.\nOutput: The tourists were recommended by the senators.\n\nInput: The student stopped the senator.\nOutput: The senator was stopped by the student.\n\nInput: The managers stopped the actors.\nOutput: The actors were stopped by the managers.\n\nInput: The athletes recognized the doctors.\nOutput: The doctors were recognized by the athletes.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The bankers supported the author.\nOutput: The author was supported by the bankers.\n\nInput: The senators recommended the tourists.\nOutput: The tourists were recommended by the senators.\n\nInput: The student stopped the senator.\nOutput: The senator was stopped by the student.\n\nInput: The managers stopped the actors.\nOutput: The actors were stopped by the managers.\n\nInput: The athletes recognized the doctors.\nOutput: The doctors were recognized by the athletes." } }, "20": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The artists recognized the manager.\nOutput: The manager was recognized by the artists.\n\nInput: The senator contacted the actor.\nOutput: The actor was contacted by the senator.\n\nInput: The authors advised the president.\nOutput: The president was advised by the authors.\n\nInput: The professors contacted the banker.\nOutput: The banker was contacted by the professors.\n\nInput: The president advised the judges.\nOutput: The judges were advised by the president.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The artists recognized the manager.\nOutput: The manager was recognized by the artists.\n\nInput: The senator contacted the actor.\nOutput: The actor was contacted by the senator.\n\nInput: The authors advised the president.\nOutput: The president was advised by the authors.\n\nInput: The professors contacted the banker.\nOutput: The banker was contacted by the professors.\n\nInput: The president advised the judges.\nOutput: The judges were advised by the president." } }, "21": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The artist recognized the secretaries.\nOutput: The secretaries were recognized by the artist.\n\nInput: The author recommended the artists.\nOutput: The artists were recommended by the author.\n\nInput: The student admired the banker.\nOutput: The banker was admired by the student.\n\nInput: The judges admired the actors.\nOutput: The actors were admired by the judges.\n\nInput: The actors thanked the senators.\nOutput: The senators were thanked by the actors.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The artist recognized the secretaries.\nOutput: The secretaries were recognized by the artist.\n\nInput: The author recommended the artists.\nOutput: The artists were recommended by the author.\n\nInput: The student admired the banker.\nOutput: The banker was admired by the student.\n\nInput: The judges admired the actors.\nOutput: The actors were admired by the judges.\n\nInput: The actors thanked the senators.\nOutput: The senators were thanked by the actors." } }, "22": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The president advised the judges.\nOutput: The judges were advised by the president.\n\nInput: The presidents thanked the bankers.\nOutput: The bankers were thanked by the presidents.\n\nInput: The lawyers believed the scientists.\nOutput: The scientists were believed by the lawyers.\n\nInput: The secretary encouraged the manager.\nOutput: The manager was encouraged by the secretary.\n\nInput: The judges admired the actors.\nOutput: The actors were admired by the judges.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The president advised the judges.\nOutput: The judges were advised by the president.\n\nInput: The presidents thanked the bankers.\nOutput: The bankers were thanked by the presidents.\n\nInput: The lawyers believed the scientists.\nOutput: The scientists were believed by the lawyers.\n\nInput: The secretary encouraged the manager.\nOutput: The manager was encouraged by the secretary.\n\nInput: The judges admired the actors.\nOutput: The actors were admired by the judges." } }, "23": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The author recommended the manager.\nOutput: The manager was recommended by the author.\n\nInput: The professor helped the actors.\nOutput: The actors were helped by the professor.\n\nInput: The secretaries believed the tourists.\nOutput: The tourists were believed by the secretaries.\n\nInput: The athletes mentioned the judges.\nOutput: The judges were mentioned by the athletes.\n\nInput: The secretaries recognized the senator.\nOutput: The senator was recognized by the secretaries.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The author recommended the manager.\nOutput: The manager was recommended by the author.\n\nInput: The professor helped the actors.\nOutput: The actors were helped by the professor.\n\nInput: The secretaries believed the tourists.\nOutput: The tourists were believed by the secretaries.\n\nInput: The athletes mentioned the judges.\nOutput: The judges were mentioned by the athletes.\n\nInput: The secretaries recognized the senator.\nOutput: The senator was recognized by the secretaries." } }, "24": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The artists recognized the banker.\nOutput: The banker was recognized by the artists.\n\nInput: The scientist helped the students.\nOutput: The students were helped by the scientist.\n\nInput: The professor recognized the scientist.\nOutput: The scientist was recognized by the professor.\n\nInput: The scientist recognized the author.\nOutput: The author was recognized by the scientist.\n\nInput: The tourists mentioned the manager.\nOutput: The manager was mentioned by the tourists.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The artists recognized the banker.\nOutput: The banker was recognized by the artists.\n\nInput: The scientist helped the students.\nOutput: The students were helped by the scientist.\n\nInput: The professor recognized the scientist.\nOutput: The scientist was recognized by the professor.\n\nInput: The scientist recognized the author.\nOutput: The author was recognized by the scientist.\n\nInput: The tourists mentioned the manager.\nOutput: The manager was mentioned by the tourists." } }, "25": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The students helped the artists.\nOutput: The artists were helped by the students.\n\nInput: The judges helped the artists.\nOutput: The artists were helped by the judges.\n\nInput: The lawyers contacted the scientists.\nOutput: The scientists were contacted by the lawyers.\n\nInput: The artists thanked the athlete.\nOutput: The athlete was thanked by the artists.\n\nInput: The tourists contacted the bankers.\nOutput: The bankers were contacted by the tourists.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The students helped the artists.\nOutput: The artists were helped by the students.\n\nInput: The judges helped the artists.\nOutput: The artists were helped by the judges.\n\nInput: The lawyers contacted the scientists.\nOutput: The scientists were contacted by the lawyers.\n\nInput: The artists thanked the athlete.\nOutput: The athlete was thanked by the artists.\n\nInput: The tourists contacted the bankers.\nOutput: The bankers were contacted by the tourists." } }, "26": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The author stopped the professor.\nOutput: The professor was stopped by the author.\n\nInput: The tourists advised the actor.\nOutput: The actor was advised by the tourists.\n\nInput: The lawyers encouraged the professors.\nOutput: The professors were encouraged by the lawyers.\n\nInput: The actors mentioned the student.\nOutput: The student was mentioned by the actors.\n\nInput: The president encouraged the professor.\nOutput: The professor was encouraged by the president.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The author stopped the professor.\nOutput: The professor was stopped by the author.\n\nInput: The tourists advised the actor.\nOutput: The actor was advised by the tourists.\n\nInput: The lawyers encouraged the professors.\nOutput: The professors were encouraged by the lawyers.\n\nInput: The actors mentioned the student.\nOutput: The student was mentioned by the actors.\n\nInput: The president encouraged the professor.\nOutput: The professor was encouraged by the president." } }, "27": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The professor avoided the doctors.\nOutput: The doctors were avoided by the professor.\n\nInput: The authors encouraged the athlete.\nOutput: The athlete was encouraged by the authors.\n\nInput: The senators recommended the tourists.\nOutput: The tourists were recommended by the senators.\n\nInput: The lawyer avoided the managers.\nOutput: The managers were avoided by the lawyer.\n\nInput: The tourists admired the presidents.\nOutput: The presidents were admired by the tourists.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The professor avoided the doctors.\nOutput: The doctors were avoided by the professor.\n\nInput: The authors encouraged the athlete.\nOutput: The athlete was encouraged by the authors.\n\nInput: The senators recommended the tourists.\nOutput: The tourists were recommended by the senators.\n\nInput: The lawyer avoided the managers.\nOutput: The managers were avoided by the lawyer.\n\nInput: The tourists admired the presidents.\nOutput: The presidents were admired by the tourists." } }, "28": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The doctor avoided the student.\nOutput: The student was avoided by the doctor.\n\nInput: The presidents recommended the student.\nOutput: The student was recommended by the presidents.\n\nInput: The secretaries recommended the actors.\nOutput: The actors were recommended by the secretaries.\n\nInput: The president introduced the judge.\nOutput: The judge was introduced by the president.\n\nInput: The secretary mentioned the manager.\nOutput: The manager was mentioned by the secretary.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The doctor avoided the student.\nOutput: The student was avoided by the doctor.\n\nInput: The presidents recommended the student.\nOutput: The student was recommended by the presidents.\n\nInput: The secretaries recommended the actors.\nOutput: The actors were recommended by the secretaries.\n\nInput: The president introduced the judge.\nOutput: The judge was introduced by the president.\n\nInput: The secretary mentioned the manager.\nOutput: The manager was mentioned by the secretary." } }, "29": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The bankers thanked the professors.\nOutput: The professors were thanked by the bankers.\n\nInput: The judge recognized the doctors.\nOutput: The doctors were recognized by the judge.\n\nInput: The secretaries stopped the presidents.\nOutput: The presidents were stopped by the secretaries.\n\nInput: The senators thanked the professor.\nOutput: The professor was thanked by the senators.\n\nInput: The lawyer thanked the presidents.\nOutput: The presidents were thanked by the lawyer.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The bankers thanked the professors.\nOutput: The professors were thanked by the bankers.\n\nInput: The judge recognized the doctors.\nOutput: The doctors were recognized by the judge.\n\nInput: The secretaries stopped the presidents.\nOutput: The presidents were stopped by the secretaries.\n\nInput: The senators thanked the professor.\nOutput: The professor was thanked by the senators.\n\nInput: The lawyer thanked the presidents.\nOutput: The presidents were thanked by the lawyer." } }, "30": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The scientists recommended the tourist.\nOutput: The tourist was recommended by the scientists.\n\nInput: The artist avoided the lawyers.\nOutput: The lawyers were avoided by the artist.\n\nInput: The judges avoided the scientists.\nOutput: The scientists were avoided by the judges.\n\nInput: The presidents recommended the artist.\nOutput: The artist was recommended by the presidents.\n\nInput: The students helped the senator.\nOutput: The senator was helped by the students.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The scientists recommended the tourist.\nOutput: The tourist was recommended by the scientists.\n\nInput: The artist avoided the lawyers.\nOutput: The lawyers were avoided by the artist.\n\nInput: The judges avoided the scientists.\nOutput: The scientists were avoided by the judges.\n\nInput: The presidents recommended the artist.\nOutput: The artist was recommended by the presidents.\n\nInput: The students helped the senator.\nOutput: The senator was helped by the students." } }, "31": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The actors avoided the authors.\nOutput: The authors were avoided by the actors.\n\nInput: The president thanked the artists.\nOutput: The artists were thanked by the president.\n\nInput: The authors introduced the judge.\nOutput: The judge was introduced by the authors.\n\nInput: The scientists admired the secretaries.\nOutput: The secretaries were admired by the scientists.\n\nInput: The scientists encouraged the author.\nOutput: The author was encouraged by the scientists.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The actors avoided the authors.\nOutput: The authors were avoided by the actors.\n\nInput: The president thanked the artists.\nOutput: The artists were thanked by the president.\n\nInput: The authors introduced the judge.\nOutput: The judge was introduced by the authors.\n\nInput: The scientists admired the secretaries.\nOutput: The secretaries were admired by the scientists.\n\nInput: The scientists encouraged the author.\nOutput: The author was encouraged by the scientists." } }, "32": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The bankers advised the presidents.\nOutput: The presidents were advised by the bankers.\n\nInput: The actor supported the president.\nOutput: The president was supported by the actor.\n\nInput: The doctors admired the judges.\nOutput: The judges were admired by the doctors.\n\nInput: The senator supported the actors.\nOutput: The actors were supported by the senator.\n\nInput: The tourists recommended the lawyer.\nOutput: The lawyer was recommended by the tourists.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The bankers advised the presidents.\nOutput: The presidents were advised by the bankers.\n\nInput: The actor supported the president.\nOutput: The president was supported by the actor.\n\nInput: The doctors admired the judges.\nOutput: The judges were admired by the doctors.\n\nInput: The senator supported the actors.\nOutput: The actors were supported by the senator.\n\nInput: The tourists recommended the lawyer.\nOutput: The lawyer was recommended by the tourists." } }, "33": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The student stopped the presidents.\nOutput: The presidents were stopped by the student.\n\nInput: The secretary avoided the artists.\nOutput: The artists were avoided by the secretary.\n\nInput: The artists encouraged the judge.\nOutput: The judge was encouraged by the artists.\n\nInput: The students helped the managers.\nOutput: The managers were helped by the students.\n\nInput: The judge thanked the professor.\nOutput: The professor was thanked by the judge.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The student stopped the presidents.\nOutput: The presidents were stopped by the student.\n\nInput: The secretary avoided the artists.\nOutput: The artists were avoided by the secretary.\n\nInput: The artists encouraged the judge.\nOutput: The judge was encouraged by the artists.\n\nInput: The students helped the managers.\nOutput: The managers were helped by the students.\n\nInput: The judge thanked the professor.\nOutput: The professor was thanked by the judge." } }, "34": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The lawyers avoided the scientists.\nOutput: The scientists were avoided by the lawyers.\n\nInput: The secretaries introduced the doctors.\nOutput: The doctors were introduced by the secretaries.\n\nInput: The tourists advised the professors.\nOutput: The professors were advised by the tourists.\n\nInput: The artists recognized the scientist.\nOutput: The scientist was recognized by the artists.\n\nInput: The students supported the doctors.\nOutput: The doctors were supported by the students.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The lawyers avoided the scientists.\nOutput: The scientists were avoided by the lawyers.\n\nInput: The secretaries introduced the doctors.\nOutput: The doctors were introduced by the secretaries.\n\nInput: The tourists advised the professors.\nOutput: The professors were advised by the tourists.\n\nInput: The artists recognized the scientist.\nOutput: The scientist was recognized by the artists.\n\nInput: The students supported the doctors.\nOutput: The doctors were supported by the students." } }, "35": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The senator advised the doctors.\nOutput: The doctors were advised by the senator.\n\nInput: The students supported the professor.\nOutput: The professor was supported by the students.\n\nInput: The authors contacted the secretaries.\nOutput: The secretaries were contacted by the authors.\n\nInput: The authors contacted the judges.\nOutput: The judges were contacted by the authors.\n\nInput: The senators introduced the student.\nOutput: The student was introduced by the senators.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The senator advised the doctors.\nOutput: The doctors were advised by the senator.\n\nInput: The students supported the professor.\nOutput: The professor was supported by the students.\n\nInput: The authors contacted the secretaries.\nOutput: The secretaries were contacted by the authors.\n\nInput: The authors contacted the judges.\nOutput: The judges were contacted by the authors.\n\nInput: The senators introduced the student.\nOutput: The student was introduced by the senators." } }, "36": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The presidents encouraged the secretary.\nOutput: The secretary was encouraged by the presidents.\n\nInput: The banker mentioned the judge.\nOutput: The judge was mentioned by the banker.\n\nInput: The athletes admired the actor.\nOutput: The actor was admired by the athletes.\n\nInput: The actors stopped the athletes.\nOutput: The athletes were stopped by the actors.\n\nInput: The athletes encouraged the tourist.\nOutput: The tourist was encouraged by the athletes.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The presidents encouraged the secretary.\nOutput: The secretary was encouraged by the presidents.\n\nInput: The banker mentioned the judge.\nOutput: The judge was mentioned by the banker.\n\nInput: The athletes admired the actor.\nOutput: The actor was admired by the athletes.\n\nInput: The actors stopped the athletes.\nOutput: The athletes were stopped by the actors.\n\nInput: The athletes encouraged the tourist.\nOutput: The tourist was encouraged by the athletes." } }, "37": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The scientists contacted the tourists.\nOutput: The tourists were contacted by the scientists.\n\nInput: The actors thanked the doctor.\nOutput: The doctor was thanked by the actors.\n\nInput: The senator believed the judges.\nOutput: The judges were believed by the senator.\n\nInput: The scientist recognized the president.\nOutput: The president was recognized by the scientist.\n\nInput: The students stopped the doctor.\nOutput: The doctor was stopped by the students.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The scientists contacted the tourists.\nOutput: The tourists were contacted by the scientists.\n\nInput: The actors thanked the doctor.\nOutput: The doctor was thanked by the actors.\n\nInput: The senator believed the judges.\nOutput: The judges were believed by the senator.\n\nInput: The scientist recognized the president.\nOutput: The president was recognized by the scientist.\n\nInput: The students stopped the doctor.\nOutput: The doctor was stopped by the students." } }, "38": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The student admired the athlete.\nOutput: The athlete was admired by the student.\n\nInput: The judge recommended the scientists.\nOutput: The scientists were recommended by the judge.\n\nInput: The lawyers believed the student.\nOutput: The student was believed by the lawyers.\n\nInput: The lawyer thanked the athlete.\nOutput: The athlete was thanked by the lawyer.\n\nInput: The judge mentioned the tourist.\nOutput: The tourist was mentioned by the judge.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The student admired the athlete.\nOutput: The athlete was admired by the student.\n\nInput: The judge recommended the scientists.\nOutput: The scientists were recommended by the judge.\n\nInput: The lawyers believed the student.\nOutput: The student was believed by the lawyers.\n\nInput: The lawyer thanked the athlete.\nOutput: The athlete was thanked by the lawyer.\n\nInput: The judge mentioned the tourist.\nOutput: The tourist was mentioned by the judge." } }, "39": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The secretaries helped the professors.\nOutput: The professors were helped by the secretaries.\n\nInput: The athletes recognized the doctors.\nOutput: The doctors were recognized by the athletes.\n\nInput: The actor believed the secretaries.\nOutput: The secretaries were believed by the actor.\n\nInput: The athletes avoided the senator.\nOutput: The senator was avoided by the athletes.\n\nInput: The actors stopped the scientist.\nOutput: The scientist was stopped by the actors.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The secretaries helped the professors.\nOutput: The professors were helped by the secretaries.\n\nInput: The athletes recognized the doctors.\nOutput: The doctors were recognized by the athletes.\n\nInput: The actor believed the secretaries.\nOutput: The secretaries were believed by the actor.\n\nInput: The athletes avoided the senator.\nOutput: The senator was avoided by the athletes.\n\nInput: The actors stopped the scientist.\nOutput: The scientist was stopped by the actors." } }, "40": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The tourist advised the doctors.\nOutput: The doctors were advised by the tourist.\n\nInput: The president advised the artists.\nOutput: The artists were advised by the president.\n\nInput: The artist advised the doctor.\nOutput: The doctor was advised by the artist.\n\nInput: The doctors thanked the author.\nOutput: The author was thanked by the doctors.\n\nInput: The secretary recommended the students.\nOutput: The students were recommended by the secretary.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The tourist advised the doctors.\nOutput: The doctors were advised by the tourist.\n\nInput: The president advised the artists.\nOutput: The artists were advised by the president.\n\nInput: The artist advised the doctor.\nOutput: The doctor was advised by the artist.\n\nInput: The doctors thanked the author.\nOutput: The author was thanked by the doctors.\n\nInput: The secretary recommended the students.\nOutput: The students were recommended by the secretary." } }, "41": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The lawyer avoided the president.\nOutput: The president was avoided by the lawyer.\n\nInput: The managers stopped the president.\nOutput: The president was stopped by the managers.\n\nInput: The senator mentioned the professor.\nOutput: The professor was mentioned by the senator.\n\nInput: The students helped the author.\nOutput: The author was helped by the students.\n\nInput: The professor believed the senator.\nOutput: The senator was believed by the professor.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The lawyer avoided the president.\nOutput: The president was avoided by the lawyer.\n\nInput: The managers stopped the president.\nOutput: The president was stopped by the managers.\n\nInput: The senator mentioned the professor.\nOutput: The professor was mentioned by the senator.\n\nInput: The students helped the author.\nOutput: The author was helped by the students.\n\nInput: The professor believed the senator.\nOutput: The senator was believed by the professor." } }, "42": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The actors thanked the doctor.\nOutput: The doctor was thanked by the actors.\n\nInput: The artist recognized the judges.\nOutput: The judges were recognized by the artist.\n\nInput: The doctor advised the actors.\nOutput: The actors were advised by the doctor.\n\nInput: The doctors believed the tourist.\nOutput: The tourist was believed by the doctors.\n\nInput: The students encouraged the athlete.\nOutput: The athlete was encouraged by the students.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The actors thanked the doctor.\nOutput: The doctor was thanked by the actors.\n\nInput: The artist recognized the judges.\nOutput: The judges were recognized by the artist.\n\nInput: The doctor advised the actors.\nOutput: The actors were advised by the doctor.\n\nInput: The doctors believed the tourist.\nOutput: The tourist was believed by the doctors.\n\nInput: The students encouraged the athlete.\nOutput: The athlete was encouraged by the students." } }, "43": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The scientist avoided the tourist.\nOutput: The tourist was avoided by the scientist.\n\nInput: The professors helped the president.\nOutput: The president was helped by the professors.\n\nInput: The manager stopped the lawyers.\nOutput: The lawyers were stopped by the manager.\n\nInput: The bankers contacted the doctor.\nOutput: The doctor was contacted by the bankers.\n\nInput: The artists admired the professor.\nOutput: The professor was admired by the artists.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The scientist avoided the tourist.\nOutput: The tourist was avoided by the scientist.\n\nInput: The professors helped the president.\nOutput: The president was helped by the professors.\n\nInput: The manager stopped the lawyers.\nOutput: The lawyers were stopped by the manager.\n\nInput: The bankers contacted the doctor.\nOutput: The doctor was contacted by the bankers.\n\nInput: The artists admired the professor.\nOutput: The professor was admired by the artists." } }, "44": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The doctor encouraged the lawyers.\nOutput: The lawyers were encouraged by the doctor.\n\nInput: The actor admired the professor.\nOutput: The professor was admired by the actor.\n\nInput: The secretaries stopped the bankers.\nOutput: The bankers were stopped by the secretaries.\n\nInput: The students contacted the doctors.\nOutput: The doctors were contacted by the students.\n\nInput: The tourist recommended the secretary.\nOutput: The secretary was recommended by the tourist.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The doctor encouraged the lawyers.\nOutput: The lawyers were encouraged by the doctor.\n\nInput: The actor admired the professor.\nOutput: The professor was admired by the actor.\n\nInput: The secretaries stopped the bankers.\nOutput: The bankers were stopped by the secretaries.\n\nInput: The students contacted the doctors.\nOutput: The doctors were contacted by the students.\n\nInput: The tourist recommended the secretary.\nOutput: The secretary was recommended by the tourist." } }, "45": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The managers recognized the author.\nOutput: The author was recognized by the managers.\n\nInput: The artists avoided the secretary.\nOutput: The secretary was avoided by the artists.\n\nInput: The doctors introduced the actor.\nOutput: The actor was introduced by the doctors.\n\nInput: The senators advised the actor.\nOutput: The actor was advised by the senators.\n\nInput: The judge introduced the professor.\nOutput: The professor was introduced by the judge.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The managers recognized the author.\nOutput: The author was recognized by the managers.\n\nInput: The artists avoided the secretary.\nOutput: The secretary was avoided by the artists.\n\nInput: The doctors introduced the actor.\nOutput: The actor was introduced by the doctors.\n\nInput: The senators advised the actor.\nOutput: The actor was advised by the senators.\n\nInput: The judge introduced the professor.\nOutput: The professor was introduced by the judge." } }, "46": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The artists encouraged the judge.\nOutput: The judge was encouraged by the artists.\n\nInput: The artists believed the athlete.\nOutput: The athlete was believed by the artists.\n\nInput: The scientist mentioned the judge.\nOutput: The judge was mentioned by the scientist.\n\nInput: The lawyer avoided the managers.\nOutput: The managers were avoided by the lawyer.\n\nInput: The artists avoided the secretary.\nOutput: The secretary was avoided by the artists.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The artists encouraged the judge.\nOutput: The judge was encouraged by the artists.\n\nInput: The artists believed the athlete.\nOutput: The athlete was believed by the artists.\n\nInput: The scientist mentioned the judge.\nOutput: The judge was mentioned by the scientist.\n\nInput: The lawyer avoided the managers.\nOutput: The managers were avoided by the lawyer.\n\nInput: The artists avoided the secretary.\nOutput: The secretary was avoided by the artists." } }, "47": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The actors mentioned the student.\nOutput: The student was mentioned by the actors.\n\nInput: The president thanked the artists.\nOutput: The artists were thanked by the president.\n\nInput: The doctors stopped the scientists.\nOutput: The scientists were stopped by the doctors.\n\nInput: The secretaries admired the artist.\nOutput: The artist was admired by the secretaries.\n\nInput: The athletes encouraged the doctors.\nOutput: The doctors were encouraged by the athletes.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The actors mentioned the student.\nOutput: The student was mentioned by the actors.\n\nInput: The president thanked the artists.\nOutput: The artists were thanked by the president.\n\nInput: The doctors stopped the scientists.\nOutput: The scientists were stopped by the doctors.\n\nInput: The secretaries admired the artist.\nOutput: The artist was admired by the secretaries.\n\nInput: The athletes encouraged the doctors.\nOutput: The doctors were encouraged by the athletes." } }, "48": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The artists mentioned the actors.\nOutput: The actors were mentioned by the artists.\n\nInput: The banker admired the managers.\nOutput: The managers were admired by the banker.\n\nInput: The actors helped the judge.\nOutput: The judge was helped by the actors.\n\nInput: The students supported the lawyers.\nOutput: The lawyers were supported by the students.\n\nInput: The judges supported the lawyer.\nOutput: The lawyer was supported by the judges.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The artists mentioned the actors.\nOutput: The actors were mentioned by the artists.\n\nInput: The banker admired the managers.\nOutput: The managers were admired by the banker.\n\nInput: The actors helped the judge.\nOutput: The judge was helped by the actors.\n\nInput: The students supported the lawyers.\nOutput: The lawyers were supported by the students.\n\nInput: The judges supported the lawyer.\nOutput: The lawyer was supported by the judges." } }, "49": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The presidents recommended the author.\nOutput: The author was recommended by the presidents.\n\nInput: The scientists helped the senator.\nOutput: The senator was helped by the scientists.\n\nInput: The secretary avoided the doctors.\nOutput: The doctors were avoided by the secretary.\n\nInput: The lawyers encouraged the professors.\nOutput: The professors were encouraged by the lawyers.\n\nInput: The tourist helped the artists.\nOutput: The artists were helped by the tourist.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The presidents recommended the author.\nOutput: The author was recommended by the presidents.\n\nInput: The scientists helped the senator.\nOutput: The senator was helped by the scientists.\n\nInput: The secretary avoided the doctors.\nOutput: The doctors were avoided by the secretary.\n\nInput: The lawyers encouraged the professors.\nOutput: The professors were encouraged by the lawyers.\n\nInput: The tourist helped the artists.\nOutput: The artists were helped by the tourist." } }, "50": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The presidents contacted the senator.\nOutput: The senator was contacted by the presidents.\n\nInput: The actors recognized the scientist.\nOutput: The scientist was recognized by the actors.\n\nInput: The judge believed the senators.\nOutput: The senators were believed by the judge.\n\nInput: The lawyer recognized the senators.\nOutput: The senators were recognized by the lawyer.\n\nInput: The president encouraged the bankers.\nOutput: The bankers were encouraged by the president.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The presidents contacted the senator.\nOutput: The senator was contacted by the presidents.\n\nInput: The actors recognized the scientist.\nOutput: The scientist was recognized by the actors.\n\nInput: The judge believed the senators.\nOutput: The senators were believed by the judge.\n\nInput: The lawyer recognized the senators.\nOutput: The senators were recognized by the lawyer.\n\nInput: The president encouraged the bankers.\nOutput: The bankers were encouraged by the president." } }, "51": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The president supported the actor.\nOutput: The actor was supported by the president.\n\nInput: The tourist believed the doctor.\nOutput: The doctor was believed by the tourist.\n\nInput: The authors recognized the banker.\nOutput: The banker was recognized by the authors.\n\nInput: The scientist recommended the senators.\nOutput: The senators were recommended by the scientist.\n\nInput: The doctors stopped the scientists.\nOutput: The scientists were stopped by the doctors.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The president supported the actor.\nOutput: The actor was supported by the president.\n\nInput: The tourist believed the doctor.\nOutput: The doctor was believed by the tourist.\n\nInput: The authors recognized the banker.\nOutput: The banker was recognized by the authors.\n\nInput: The scientist recommended the senators.\nOutput: The senators were recommended by the scientist.\n\nInput: The doctors stopped the scientists.\nOutput: The scientists were stopped by the doctors." } }, "52": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The senator helped the judges.\nOutput: The judges were helped by the senator.\n\nInput: The doctors thanked the lawyers.\nOutput: The lawyers were thanked by the doctors.\n\nInput: The author advised the judge.\nOutput: The judge was advised by the author.\n\nInput: The tourists advised the professors.\nOutput: The professors were advised by the tourists.\n\nInput: The managers contacted the scientist.\nOutput: The scientist was contacted by the managers.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The senator helped the judges.\nOutput: The judges were helped by the senator.\n\nInput: The doctors thanked the lawyers.\nOutput: The lawyers were thanked by the doctors.\n\nInput: The author advised the judge.\nOutput: The judge was advised by the author.\n\nInput: The tourists advised the professors.\nOutput: The professors were advised by the tourists.\n\nInput: The managers contacted the scientist.\nOutput: The scientist was contacted by the managers." } }, "53": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The president introduced the lawyer.\nOutput: The lawyer was introduced by the president.\n\nInput: The doctors thanked the lawyers.\nOutput: The lawyers were thanked by the doctors.\n\nInput: The students advised the professor.\nOutput: The professor was advised by the students.\n\nInput: The judge introduced the student.\nOutput: The student was introduced by the judge.\n\nInput: The tourist avoided the judges.\nOutput: The judges were avoided by the tourist.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The president introduced the lawyer.\nOutput: The lawyer was introduced by the president.\n\nInput: The doctors thanked the lawyers.\nOutput: The lawyers were thanked by the doctors.\n\nInput: The students advised the professor.\nOutput: The professor was advised by the students.\n\nInput: The judge introduced the student.\nOutput: The student was introduced by the judge.\n\nInput: The tourist avoided the judges.\nOutput: The judges were avoided by the tourist." } }, "54": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The secretaries advised the artist.\nOutput: The artist was advised by the secretaries.\n\nInput: The authors introduced the student.\nOutput: The student was introduced by the authors.\n\nInput: The tourist helped the artists.\nOutput: The artists were helped by the tourist.\n\nInput: The judge thanked the author.\nOutput: The author was thanked by the judge.\n\nInput: The student advised the scientists.\nOutput: The scientists were advised by the student.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The secretaries advised the artist.\nOutput: The artist was advised by the secretaries.\n\nInput: The authors introduced the student.\nOutput: The student was introduced by the authors.\n\nInput: The tourist helped the artists.\nOutput: The artists were helped by the tourist.\n\nInput: The judge thanked the author.\nOutput: The author was thanked by the judge.\n\nInput: The student advised the scientists.\nOutput: The scientists were advised by the student." } }, "55": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The professors helped the doctor.\nOutput: The doctor was helped by the professors.\n\nInput: The actors mentioned the student.\nOutput: The student was mentioned by the actors.\n\nInput: The judges thanked the doctors.\nOutput: The doctors were thanked by the judges.\n\nInput: The professor recognized the scientist.\nOutput: The scientist was recognized by the professor.\n\nInput: The author avoided the doctors.\nOutput: The doctors were avoided by the author.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The professors helped the doctor.\nOutput: The doctor was helped by the professors.\n\nInput: The actors mentioned the student.\nOutput: The student was mentioned by the actors.\n\nInput: The judges thanked the doctors.\nOutput: The doctors were thanked by the judges.\n\nInput: The professor recognized the scientist.\nOutput: The scientist was recognized by the professor.\n\nInput: The author avoided the doctors.\nOutput: The doctors were avoided by the author." } }, "56": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The tourist supported the athlete.\nOutput: The athlete was supported by the tourist.\n\nInput: The banker recommended the tourists.\nOutput: The tourists were recommended by the banker.\n\nInput: The managers supported the bankers.\nOutput: The bankers were supported by the managers.\n\nInput: The artists thanked the scientist.\nOutput: The scientist was thanked by the artists.\n\nInput: The secretaries stopped the presidents.\nOutput: The presidents were stopped by the secretaries.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The tourist supported the athlete.\nOutput: The athlete was supported by the tourist.\n\nInput: The banker recommended the tourists.\nOutput: The tourists were recommended by the banker.\n\nInput: The managers supported the bankers.\nOutput: The bankers were supported by the managers.\n\nInput: The artists thanked the scientist.\nOutput: The scientist was thanked by the artists.\n\nInput: The secretaries stopped the presidents.\nOutput: The presidents were stopped by the secretaries." } }, "57": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The athlete believed the managers.\nOutput: The managers were believed by the athlete.\n\nInput: The managers mentioned the student.\nOutput: The student was mentioned by the managers.\n\nInput: The senators advised the presidents.\nOutput: The presidents were advised by the senators.\n\nInput: The banker mentioned the secretaries.\nOutput: The secretaries were mentioned by the banker.\n\nInput: The author recommended the artists.\nOutput: The artists were recommended by the author.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The athlete believed the managers.\nOutput: The managers were believed by the athlete.\n\nInput: The managers mentioned the student.\nOutput: The student was mentioned by the managers.\n\nInput: The senators advised the presidents.\nOutput: The presidents were advised by the senators.\n\nInput: The banker mentioned the secretaries.\nOutput: The secretaries were mentioned by the banker.\n\nInput: The author recommended the artists.\nOutput: The artists were recommended by the author." } }, "58": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The doctor advised the managers.\nOutput: The managers were advised by the doctor.\n\nInput: The secretary stopped the presidents.\nOutput: The presidents were stopped by the secretary.\n\nInput: The artist advised the author.\nOutput: The author was advised by the artist.\n\nInput: The athletes recognized the judge.\nOutput: The judge was recognized by the athletes.\n\nInput: The professors mentioned the presidents.\nOutput: The presidents were mentioned by the professors.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The doctor advised the managers.\nOutput: The managers were advised by the doctor.\n\nInput: The secretary stopped the presidents.\nOutput: The presidents were stopped by the secretary.\n\nInput: The artist advised the author.\nOutput: The author was advised by the artist.\n\nInput: The athletes recognized the judge.\nOutput: The judge was recognized by the athletes.\n\nInput: The professors mentioned the presidents.\nOutput: The presidents were mentioned by the professors." } }, "59": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The secretaries supported the scientists.\nOutput: The scientists were supported by the secretaries.\n\nInput: The managers stopped the doctor.\nOutput: The doctor was stopped by the managers.\n\nInput: The actors mentioned the student.\nOutput: The student was mentioned by the actors.\n\nInput: The student contacted the secretaries.\nOutput: The secretaries were contacted by the student.\n\nInput: The lawyers believed the scientists.\nOutput: The scientists were believed by the lawyers.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The secretaries supported the scientists.\nOutput: The scientists were supported by the secretaries.\n\nInput: The managers stopped the doctor.\nOutput: The doctor was stopped by the managers.\n\nInput: The actors mentioned the student.\nOutput: The student was mentioned by the actors.\n\nInput: The student contacted the secretaries.\nOutput: The secretaries were contacted by the student.\n\nInput: The lawyers believed the scientists.\nOutput: The scientists were believed by the lawyers." } }, "60": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The scientist recognized the student.\nOutput: The student was recognized by the scientist.\n\nInput: The professors helped the managers.\nOutput: The managers were helped by the professors.\n\nInput: The tourist mentioned the secretary.\nOutput: The secretary was mentioned by the tourist.\n\nInput: The banker advised the doctor.\nOutput: The doctor was advised by the banker.\n\nInput: The managers introduced the senators.\nOutput: The senators were introduced by the managers.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The scientist recognized the student.\nOutput: The student was recognized by the scientist.\n\nInput: The professors helped the managers.\nOutput: The managers were helped by the professors.\n\nInput: The tourist mentioned the secretary.\nOutput: The secretary was mentioned by the tourist.\n\nInput: The banker advised the doctor.\nOutput: The doctor was advised by the banker.\n\nInput: The managers introduced the senators.\nOutput: The senators were introduced by the managers." } }, "61": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The tourist admired the managers.\nOutput: The managers were admired by the tourist.\n\nInput: The secretary avoided the author.\nOutput: The author was avoided by the secretary.\n\nInput: The judge recommended the secretary.\nOutput: The secretary was recommended by the judge.\n\nInput: The manager advised the scientist.\nOutput: The scientist was advised by the manager.\n\nInput: The actors recommended the presidents.\nOutput: The presidents were recommended by the actors.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The tourist admired the managers.\nOutput: The managers were admired by the tourist.\n\nInput: The secretary avoided the author.\nOutput: The author was avoided by the secretary.\n\nInput: The judge recommended the secretary.\nOutput: The secretary was recommended by the judge.\n\nInput: The manager advised the scientist.\nOutput: The scientist was advised by the manager.\n\nInput: The actors recommended the presidents.\nOutput: The presidents were recommended by the actors." } }, "62": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The bankers supported the professor.\nOutput: The professor was supported by the bankers.\n\nInput: The actors stopped the athletes.\nOutput: The athletes were stopped by the actors.\n\nInput: The students helped the managers.\nOutput: The managers were helped by the students.\n\nInput: The students advised the professor.\nOutput: The professor was advised by the students.\n\nInput: The bankers stopped the lawyer.\nOutput: The lawyer was stopped by the bankers.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The bankers supported the professor.\nOutput: The professor was supported by the bankers.\n\nInput: The actors stopped the athletes.\nOutput: The athletes were stopped by the actors.\n\nInput: The students helped the managers.\nOutput: The managers were helped by the students.\n\nInput: The students advised the professor.\nOutput: The professor was advised by the students.\n\nInput: The bankers stopped the lawyer.\nOutput: The lawyer was stopped by the bankers." } }, "63": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The managers contacted the scientist.\nOutput: The scientist was contacted by the managers.\n\nInput: The secretary recognized the tourists.\nOutput: The tourists were recognized by the secretary.\n\nInput: The scientist recognized the author.\nOutput: The author was recognized by the scientist.\n\nInput: The professor contacted the lawyer.\nOutput: The lawyer was contacted by the professor.\n\nInput: The banker thanked the athlete.\nOutput: The athlete was thanked by the banker.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The managers contacted the scientist.\nOutput: The scientist was contacted by the managers.\n\nInput: The secretary recognized the tourists.\nOutput: The tourists were recognized by the secretary.\n\nInput: The scientist recognized the author.\nOutput: The author was recognized by the scientist.\n\nInput: The professor contacted the lawyer.\nOutput: The lawyer was contacted by the professor.\n\nInput: The banker thanked the athlete.\nOutput: The athlete was thanked by the banker." } }, "64": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The president supported the actor.\nOutput: The actor was supported by the president.\n\nInput: The judges thanked the tourists.\nOutput: The tourists were thanked by the judges.\n\nInput: The secretary mentioned the manager.\nOutput: The manager was mentioned by the secretary.\n\nInput: The artists contacted the doctors.\nOutput: The doctors were contacted by the artists.\n\nInput: The judge advised the scientists.\nOutput: The scientists were advised by the judge.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The president supported the actor.\nOutput: The actor was supported by the president.\n\nInput: The judges thanked the tourists.\nOutput: The tourists were thanked by the judges.\n\nInput: The secretary mentioned the manager.\nOutput: The manager was mentioned by the secretary.\n\nInput: The artists contacted the doctors.\nOutput: The doctors were contacted by the artists.\n\nInput: The judge advised the scientists.\nOutput: The scientists were advised by the judge." } }, "65": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The presidents advised the lawyer.\nOutput: The lawyer was advised by the presidents.\n\nInput: The manager introduced the professors.\nOutput: The professors were introduced by the manager.\n\nInput: The lawyers mentioned the tourists.\nOutput: The tourists were mentioned by the lawyers.\n\nInput: The students recognized the banker.\nOutput: The banker was recognized by the students.\n\nInput: The lawyer encouraged the judges.\nOutput: The judges were encouraged by the lawyer.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The presidents advised the lawyer.\nOutput: The lawyer was advised by the presidents.\n\nInput: The manager introduced the professors.\nOutput: The professors were introduced by the manager.\n\nInput: The lawyers mentioned the tourists.\nOutput: The tourists were mentioned by the lawyers.\n\nInput: The students recognized the banker.\nOutput: The banker was recognized by the students.\n\nInput: The lawyer encouraged the judges.\nOutput: The judges were encouraged by the lawyer." } }, "66": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The scientists thanked the athletes.\nOutput: The athletes were thanked by the scientists.\n\nInput: The tourist encouraged the banker.\nOutput: The banker was encouraged by the tourist.\n\nInput: The professors believed the manager.\nOutput: The manager was believed by the professors.\n\nInput: The senators believed the presidents.\nOutput: The presidents were believed by the senators.\n\nInput: The actor admired the secretaries.\nOutput: The secretaries were admired by the actor.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The scientists thanked the athletes.\nOutput: The athletes were thanked by the scientists.\n\nInput: The tourist encouraged the banker.\nOutput: The banker was encouraged by the tourist.\n\nInput: The professors believed the manager.\nOutput: The manager was believed by the professors.\n\nInput: The senators believed the presidents.\nOutput: The presidents were believed by the senators.\n\nInput: The actor admired the secretaries.\nOutput: The secretaries were admired by the actor." } }, "67": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The manager contacted the president.\nOutput: The president was contacted by the manager.\n\nInput: The athlete believed the judge.\nOutput: The judge was believed by the athlete.\n\nInput: The judge avoided the artist.\nOutput: The artist was avoided by the judge.\n\nInput: The president helped the secretaries.\nOutput: The secretaries were helped by the president.\n\nInput: The bankers admired the author.\nOutput: The author was admired by the bankers.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The manager contacted the president.\nOutput: The president was contacted by the manager.\n\nInput: The athlete believed the judge.\nOutput: The judge was believed by the athlete.\n\nInput: The judge avoided the artist.\nOutput: The artist was avoided by the judge.\n\nInput: The president helped the secretaries.\nOutput: The secretaries were helped by the president.\n\nInput: The bankers admired the author.\nOutput: The author was admired by the bankers." } }, "68": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The secretaries thanked the athletes.\nOutput: The athletes were thanked by the secretaries.\n\nInput: The senator contacted the actor.\nOutput: The actor was contacted by the senator.\n\nInput: The athlete supported the secretaries.\nOutput: The secretaries were supported by the athlete.\n\nInput: The professor helped the actor.\nOutput: The actor was helped by the professor.\n\nInput: The presidents contacted the senator.\nOutput: The senator was contacted by the presidents.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The secretaries thanked the athletes.\nOutput: The athletes were thanked by the secretaries.\n\nInput: The senator contacted the actor.\nOutput: The actor was contacted by the senator.\n\nInput: The athlete supported the secretaries.\nOutput: The secretaries were supported by the athlete.\n\nInput: The professor helped the actor.\nOutput: The actor was helped by the professor.\n\nInput: The presidents contacted the senator.\nOutput: The senator was contacted by the presidents." } }, "69": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The artist encouraged the student.\nOutput: The student was encouraged by the artist.\n\nInput: The doctors admired the presidents.\nOutput: The presidents were admired by the doctors.\n\nInput: The senators believed the presidents.\nOutput: The presidents were believed by the senators.\n\nInput: The president mentioned the professor.\nOutput: The professor was mentioned by the president.\n\nInput: The banker encouraged the athlete.\nOutput: The athlete was encouraged by the banker.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The artist encouraged the student.\nOutput: The student was encouraged by the artist.\n\nInput: The doctors admired the presidents.\nOutput: The presidents were admired by the doctors.\n\nInput: The senators believed the presidents.\nOutput: The presidents were believed by the senators.\n\nInput: The president mentioned the professor.\nOutput: The professor was mentioned by the president.\n\nInput: The banker encouraged the athlete.\nOutput: The athlete was encouraged by the banker." } }, "70": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The tourist contacted the doctor.\nOutput: The doctor was contacted by the tourist.\n\nInput: The authors helped the doctor.\nOutput: The doctor was helped by the authors.\n\nInput: The actors recognized the scientists.\nOutput: The scientists were recognized by the actors.\n\nInput: The president advised the judges.\nOutput: The judges were advised by the president.\n\nInput: The secretaries avoided the student.\nOutput: The student was avoided by the secretaries.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The tourist contacted the doctor.\nOutput: The doctor was contacted by the tourist.\n\nInput: The authors helped the doctor.\nOutput: The doctor was helped by the authors.\n\nInput: The actors recognized the scientists.\nOutput: The scientists were recognized by the actors.\n\nInput: The president advised the judges.\nOutput: The judges were advised by the president.\n\nInput: The secretaries avoided the student.\nOutput: The student was avoided by the secretaries." } }, "71": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The tourists mentioned the artist.\nOutput: The artist was mentioned by the tourists.\n\nInput: The artist mentioned the actors.\nOutput: The actors were mentioned by the artist.\n\nInput: The senator believed the banker.\nOutput: The banker was believed by the senator.\n\nInput: The artist recognized the judges.\nOutput: The judges were recognized by the artist.\n\nInput: The senator recognized the managers.\nOutput: The managers were recognized by the senator.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The tourists mentioned the artist.\nOutput: The artist was mentioned by the tourists.\n\nInput: The artist mentioned the actors.\nOutput: The actors were mentioned by the artist.\n\nInput: The senator believed the banker.\nOutput: The banker was believed by the senator.\n\nInput: The artist recognized the judges.\nOutput: The judges were recognized by the artist.\n\nInput: The senator recognized the managers.\nOutput: The managers were recognized by the senator." } }, "72": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The artist advised the doctor.\nOutput: The doctor was advised by the artist.\n\nInput: The judge introduced the student.\nOutput: The student was introduced by the judge.\n\nInput: The secretary contacted the tourist.\nOutput: The tourist was contacted by the secretary.\n\nInput: The judge recommended the doctors.\nOutput: The doctors were recommended by the judge.\n\nInput: The doctors advised the actor.\nOutput: The actor was advised by the doctors.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The artist advised the doctor.\nOutput: The doctor was advised by the artist.\n\nInput: The judge introduced the student.\nOutput: The student was introduced by the judge.\n\nInput: The secretary contacted the tourist.\nOutput: The tourist was contacted by the secretary.\n\nInput: The judge recommended the doctors.\nOutput: The doctors were recommended by the judge.\n\nInput: The doctors advised the actor.\nOutput: The actor was advised by the doctors." } }, "73": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The lawyers introduced the senator.\nOutput: The senator was introduced by the lawyers.\n\nInput: The judges mentioned the bankers.\nOutput: The bankers were mentioned by the judges.\n\nInput: The lawyers supported the judge.\nOutput: The judge was supported by the lawyers.\n\nInput: The tourists recommended the bankers.\nOutput: The bankers were recommended by the tourists.\n\nInput: The scientist encouraged the doctors.\nOutput: The doctors were encouraged by the scientist.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The lawyers introduced the senator.\nOutput: The senator was introduced by the lawyers.\n\nInput: The judges mentioned the bankers.\nOutput: The bankers were mentioned by the judges.\n\nInput: The lawyers supported the judge.\nOutput: The judge was supported by the lawyers.\n\nInput: The tourists recommended the bankers.\nOutput: The bankers were recommended by the tourists.\n\nInput: The scientist encouraged the doctors.\nOutput: The doctors were encouraged by the scientist." } }, "74": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The athletes mentioned the tourist.\nOutput: The tourist was mentioned by the athletes.\n\nInput: The artist advised the scientists.\nOutput: The scientists were advised by the artist.\n\nInput: The banker introduced the tourist.\nOutput: The tourist was introduced by the banker.\n\nInput: The students supported the authors.\nOutput: The authors were supported by the students.\n\nInput: The artists recommended the athlete.\nOutput: The athlete was recommended by the artists.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The athletes mentioned the tourist.\nOutput: The tourist was mentioned by the athletes.\n\nInput: The artist advised the scientists.\nOutput: The scientists were advised by the artist.\n\nInput: The banker introduced the tourist.\nOutput: The tourist was introduced by the banker.\n\nInput: The students supported the authors.\nOutput: The authors were supported by the students.\n\nInput: The artists recommended the athlete.\nOutput: The athlete was recommended by the artists." } }, "75": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The secretary admired the judge.\nOutput: The judge was admired by the secretary.\n\nInput: The senator recognized the managers.\nOutput: The managers were recognized by the senator.\n\nInput: The secretary mentioned the manager.\nOutput: The manager was mentioned by the secretary.\n\nInput: The president thanked the actor.\nOutput: The actor was thanked by the president.\n\nInput: The artist stopped the president.\nOutput: The president was stopped by the artist.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The secretary admired the judge.\nOutput: The judge was admired by the secretary.\n\nInput: The senator recognized the managers.\nOutput: The managers were recognized by the senator.\n\nInput: The secretary mentioned the manager.\nOutput: The manager was mentioned by the secretary.\n\nInput: The president thanked the actor.\nOutput: The actor was thanked by the president.\n\nInput: The artist stopped the president.\nOutput: The president was stopped by the artist." } }, "76": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The actors recommended the presidents.\nOutput: The presidents were recommended by the actors.\n\nInput: The secretary thanked the judges.\nOutput: The judges were thanked by the secretary.\n\nInput: The artist thanked the actors.\nOutput: The actors were thanked by the artist.\n\nInput: The bankers believed the manager.\nOutput: The manager was believed by the bankers.\n\nInput: The athlete recommended the president.\nOutput: The president was recommended by the athlete.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The actors recommended the presidents.\nOutput: The presidents were recommended by the actors.\n\nInput: The secretary thanked the judges.\nOutput: The judges were thanked by the secretary.\n\nInput: The artist thanked the actors.\nOutput: The actors were thanked by the artist.\n\nInput: The bankers believed the manager.\nOutput: The manager was believed by the bankers.\n\nInput: The athlete recommended the president.\nOutput: The president was recommended by the athlete." } }, "77": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The tourists recognized the lawyer.\nOutput: The lawyer was recognized by the tourists.\n\nInput: The tourist encouraged the professors.\nOutput: The professors were encouraged by the tourist.\n\nInput: The athletes recognized the judge.\nOutput: The judge was recognized by the athletes.\n\nInput: The secretaries advised the banker.\nOutput: The banker was advised by the secretaries.\n\nInput: The professors avoided the students.\nOutput: The students were avoided by the professors.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The tourists recognized the lawyer.\nOutput: The lawyer was recognized by the tourists.\n\nInput: The tourist encouraged the professors.\nOutput: The professors were encouraged by the tourist.\n\nInput: The athletes recognized the judge.\nOutput: The judge was recognized by the athletes.\n\nInput: The secretaries advised the banker.\nOutput: The banker was advised by the secretaries.\n\nInput: The professors avoided the students.\nOutput: The students were avoided by the professors." } }, "78": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The doctor supported the secretary.\nOutput: The secretary was supported by the doctor.\n\nInput: The senator mentioned the professor.\nOutput: The professor was mentioned by the senator.\n\nInput: The artists contacted the doctors.\nOutput: The doctors were contacted by the artists.\n\nInput: The actor stopped the tourists.\nOutput: The tourists were stopped by the actor.\n\nInput: The president admired the lawyers.\nOutput: The lawyers were admired by the president.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The doctor supported the secretary.\nOutput: The secretary was supported by the doctor.\n\nInput: The senator mentioned the professor.\nOutput: The professor was mentioned by the senator.\n\nInput: The artists contacted the doctors.\nOutput: The doctors were contacted by the artists.\n\nInput: The actor stopped the tourists.\nOutput: The tourists were stopped by the actor.\n\nInput: The president admired the lawyers.\nOutput: The lawyers were admired by the president." } }, "79": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The student mentioned the banker.\nOutput: The banker was mentioned by the student.\n\nInput: The senators believed the presidents.\nOutput: The presidents were believed by the senators.\n\nInput: The artist mentioned the author.\nOutput: The author was mentioned by the artist.\n\nInput: The authors supported the artist.\nOutput: The artist was supported by the authors.\n\nInput: The actor recommended the professor.\nOutput: The professor was recommended by the actor.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The student mentioned the banker.\nOutput: The banker was mentioned by the student.\n\nInput: The senators believed the presidents.\nOutput: The presidents were believed by the senators.\n\nInput: The artist mentioned the author.\nOutput: The author was mentioned by the artist.\n\nInput: The authors supported the artist.\nOutput: The artist was supported by the authors.\n\nInput: The actor recommended the professor.\nOutput: The professor was recommended by the actor." } }, "80": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The doctors thanked the lawyers.\nOutput: The lawyers were thanked by the doctors.\n\nInput: The scientists admired the secretaries.\nOutput: The secretaries were admired by the scientists.\n\nInput: The secretary recommended the students.\nOutput: The students were recommended by the secretary.\n\nInput: The artist introduced the lawyer.\nOutput: The lawyer was introduced by the artist.\n\nInput: The authors contacted the judges.\nOutput: The judges were contacted by the authors.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The doctors thanked the lawyers.\nOutput: The lawyers were thanked by the doctors.\n\nInput: The scientists admired the secretaries.\nOutput: The secretaries were admired by the scientists.\n\nInput: The secretary recommended the students.\nOutput: The students were recommended by the secretary.\n\nInput: The artist introduced the lawyer.\nOutput: The lawyer was introduced by the artist.\n\nInput: The authors contacted the judges.\nOutput: The judges were contacted by the authors." } }, "81": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The tourists admired the presidents.\nOutput: The presidents were admired by the tourists.\n\nInput: The manager thanked the president.\nOutput: The president was thanked by the manager.\n\nInput: The professor avoided the judges.\nOutput: The judges were avoided by the professor.\n\nInput: The doctors contacted the authors.\nOutput: The authors were contacted by the doctors.\n\nInput: The judge admired the managers.\nOutput: The managers were admired by the judge.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The tourists admired the presidents.\nOutput: The presidents were admired by the tourists.\n\nInput: The manager thanked the president.\nOutput: The president was thanked by the manager.\n\nInput: The professor avoided the judges.\nOutput: The judges were avoided by the professor.\n\nInput: The doctors contacted the authors.\nOutput: The authors were contacted by the doctors.\n\nInput: The judge admired the managers.\nOutput: The managers were admired by the judge." } }, "82": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The professors avoided the students.\nOutput: The students were avoided by the professors.\n\nInput: The doctors stopped the actor.\nOutput: The actor was stopped by the doctors.\n\nInput: The manager stopped the senator.\nOutput: The senator was stopped by the manager.\n\nInput: The senator advised the doctors.\nOutput: The doctors were advised by the senator.\n\nInput: The judge encouraged the banker.\nOutput: The banker was encouraged by the judge.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The professors avoided the students.\nOutput: The students were avoided by the professors.\n\nInput: The doctors stopped the actor.\nOutput: The actor was stopped by the doctors.\n\nInput: The manager stopped the senator.\nOutput: The senator was stopped by the manager.\n\nInput: The senator advised the doctors.\nOutput: The doctors were advised by the senator.\n\nInput: The judge encouraged the banker.\nOutput: The banker was encouraged by the judge." } }, "83": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The judges advised the doctors.\nOutput: The doctors were advised by the judges.\n\nInput: The manager recognized the president.\nOutput: The president was recognized by the manager.\n\nInput: The tourist advised the doctors.\nOutput: The doctors were advised by the tourist.\n\nInput: The authors supported the artist.\nOutput: The artist was supported by the authors.\n\nInput: The actor encouraged the scientists.\nOutput: The scientists were encouraged by the actor.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The judges advised the doctors.\nOutput: The doctors were advised by the judges.\n\nInput: The manager recognized the president.\nOutput: The president was recognized by the manager.\n\nInput: The tourist advised the doctors.\nOutput: The doctors were advised by the tourist.\n\nInput: The authors supported the artist.\nOutput: The artist was supported by the authors.\n\nInput: The actor encouraged the scientists.\nOutput: The scientists were encouraged by the actor." } }, "84": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The professor avoided the author.\nOutput: The author was avoided by the professor.\n\nInput: The artists believed the professor.\nOutput: The professor was believed by the artists.\n\nInput: The professors supported the scientist.\nOutput: The scientist was supported by the professors.\n\nInput: The manager introduced the president.\nOutput: The president was introduced by the manager.\n\nInput: The authors encouraged the athlete.\nOutput: The athlete was encouraged by the authors.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The professor avoided the author.\nOutput: The author was avoided by the professor.\n\nInput: The artists believed the professor.\nOutput: The professor was believed by the artists.\n\nInput: The professors supported the scientist.\nOutput: The scientist was supported by the professors.\n\nInput: The manager introduced the president.\nOutput: The president was introduced by the manager.\n\nInput: The authors encouraged the athlete.\nOutput: The athlete was encouraged by the authors." } }, "85": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The bankers believed the manager.\nOutput: The manager was believed by the bankers.\n\nInput: The scientists recommended the tourist.\nOutput: The tourist was recommended by the scientists.\n\nInput: The actor supported the president.\nOutput: The president was supported by the actor.\n\nInput: The artists advised the secretaries.\nOutput: The secretaries were advised by the artists.\n\nInput: The managers introduced the bankers.\nOutput: The bankers were introduced by the managers.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The bankers believed the manager.\nOutput: The manager was believed by the bankers.\n\nInput: The scientists recommended the tourist.\nOutput: The tourist was recommended by the scientists.\n\nInput: The actor supported the president.\nOutput: The president was supported by the actor.\n\nInput: The artists advised the secretaries.\nOutput: The secretaries were advised by the artists.\n\nInput: The managers introduced the bankers.\nOutput: The bankers were introduced by the managers." } }, "86": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The manager recognized the doctors.\nOutput: The doctors were recognized by the manager.\n\nInput: The judge encouraged the tourists.\nOutput: The tourists were encouraged by the judge.\n\nInput: The author believed the actor.\nOutput: The actor was believed by the author.\n\nInput: The managers helped the professors.\nOutput: The professors were helped by the managers.\n\nInput: The banker contacted the tourist.\nOutput: The tourist was contacted by the banker.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The manager recognized the doctors.\nOutput: The doctors were recognized by the manager.\n\nInput: The judge encouraged the tourists.\nOutput: The tourists were encouraged by the judge.\n\nInput: The author believed the actor.\nOutput: The actor was believed by the author.\n\nInput: The managers helped the professors.\nOutput: The professors were helped by the managers.\n\nInput: The banker contacted the tourist.\nOutput: The tourist was contacted by the banker." } }, "87": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The actor thanked the authors.\nOutput: The authors were thanked by the actor.\n\nInput: The doctors admired the presidents.\nOutput: The presidents were admired by the doctors.\n\nInput: The actor encouraged the scientists.\nOutput: The scientists were encouraged by the actor.\n\nInput: The judges recognized the senator.\nOutput: The senator was recognized by the judges.\n\nInput: The secretaries helped the judge.\nOutput: The judge was helped by the secretaries.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The actor thanked the authors.\nOutput: The authors were thanked by the actor.\n\nInput: The doctors admired the presidents.\nOutput: The presidents were admired by the doctors.\n\nInput: The actor encouraged the scientists.\nOutput: The scientists were encouraged by the actor.\n\nInput: The judges recognized the senator.\nOutput: The senator was recognized by the judges.\n\nInput: The secretaries helped the judge.\nOutput: The judge was helped by the secretaries." } }, "88": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The president introduced the lawyer.\nOutput: The lawyer was introduced by the president.\n\nInput: The authors recognized the banker.\nOutput: The banker was recognized by the authors.\n\nInput: The lawyers supported the secretary.\nOutput: The secretary was supported by the lawyers.\n\nInput: The artists avoided the secretary.\nOutput: The secretary was avoided by the artists.\n\nInput: The artist stopped the athlete.\nOutput: The athlete was stopped by the artist.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The president introduced the lawyer.\nOutput: The lawyer was introduced by the president.\n\nInput: The authors recognized the banker.\nOutput: The banker was recognized by the authors.\n\nInput: The lawyers supported the secretary.\nOutput: The secretary was supported by the lawyers.\n\nInput: The artists avoided the secretary.\nOutput: The secretary was avoided by the artists.\n\nInput: The artist stopped the athlete.\nOutput: The athlete was stopped by the artist." } }, "89": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The students stopped the doctor.\nOutput: The doctor was stopped by the students.\n\nInput: The professors mentioned the tourist.\nOutput: The tourist was mentioned by the professors.\n\nInput: The tourist recommended the senators.\nOutput: The senators were recommended by the tourist.\n\nInput: The scientist mentioned the student.\nOutput: The student was mentioned by the scientist.\n\nInput: The doctor avoided the artist.\nOutput: The artist was avoided by the doctor.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The students stopped the doctor.\nOutput: The doctor was stopped by the students.\n\nInput: The professors mentioned the tourist.\nOutput: The tourist was mentioned by the professors.\n\nInput: The tourist recommended the senators.\nOutput: The senators were recommended by the tourist.\n\nInput: The scientist mentioned the student.\nOutput: The student was mentioned by the scientist.\n\nInput: The doctor avoided the artist.\nOutput: The artist was avoided by the doctor." } }, "90": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The lawyers advised the senator.\nOutput: The senator was advised by the lawyers.\n\nInput: The tourist thanked the senators.\nOutput: The senators were thanked by the tourist.\n\nInput: The tourists advised the actor.\nOutput: The actor was advised by the tourists.\n\nInput: The secretary recommended the scientists.\nOutput: The scientists were recommended by the secretary.\n\nInput: The managers contacted the scientist.\nOutput: The scientist was contacted by the managers.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The lawyers advised the senator.\nOutput: The senator was advised by the lawyers.\n\nInput: The tourist thanked the senators.\nOutput: The senators were thanked by the tourist.\n\nInput: The tourists advised the actor.\nOutput: The actor was advised by the tourists.\n\nInput: The secretary recommended the scientists.\nOutput: The scientists were recommended by the secretary.\n\nInput: The managers contacted the scientist.\nOutput: The scientist was contacted by the managers." } }, "91": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The manager recognized the president.\nOutput: The president was recognized by the manager.\n\nInput: The doctors introduced the actor.\nOutput: The actor was introduced by the doctors.\n\nInput: The professor helped the actors.\nOutput: The actors were helped by the professor.\n\nInput: The scientist stopped the banker.\nOutput: The banker was stopped by the scientist.\n\nInput: The secretaries advised the scientists.\nOutput: The scientists were advised by the secretaries.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The manager recognized the president.\nOutput: The president was recognized by the manager.\n\nInput: The doctors introduced the actor.\nOutput: The actor was introduced by the doctors.\n\nInput: The professor helped the actors.\nOutput: The actors were helped by the professor.\n\nInput: The scientist stopped the banker.\nOutput: The banker was stopped by the scientist.\n\nInput: The secretaries advised the scientists.\nOutput: The scientists were advised by the secretaries." } }, "92": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The author stopped the professor.\nOutput: The professor was stopped by the author.\n\nInput: The actors admired the artist.\nOutput: The artist was admired by the actors.\n\nInput: The tourists avoided the secretaries.\nOutput: The secretaries were avoided by the tourists.\n\nInput: The manager believed the artist.\nOutput: The artist was believed by the manager.\n\nInput: The professor contacted the lawyer.\nOutput: The lawyer was contacted by the professor.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The author stopped the professor.\nOutput: The professor was stopped by the author.\n\nInput: The actors admired the artist.\nOutput: The artist was admired by the actors.\n\nInput: The tourists avoided the secretaries.\nOutput: The secretaries were avoided by the tourists.\n\nInput: The manager believed the artist.\nOutput: The artist was believed by the manager.\n\nInput: The professor contacted the lawyer.\nOutput: The lawyer was contacted by the professor." } }, "93": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The actors introduced the doctor.\nOutput: The doctor was introduced by the actors.\n\nInput: The secretary admired the scientist.\nOutput: The scientist was admired by the secretary.\n\nInput: The judges thanked the athlete.\nOutput: The athlete was thanked by the judges.\n\nInput: The students helped the authors.\nOutput: The authors were helped by the students.\n\nInput: The artists thanked the athlete.\nOutput: The athlete was thanked by the artists.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The actors introduced the doctor.\nOutput: The doctor was introduced by the actors.\n\nInput: The secretary admired the scientist.\nOutput: The scientist was admired by the secretary.\n\nInput: The judges thanked the athlete.\nOutput: The athlete was thanked by the judges.\n\nInput: The students helped the authors.\nOutput: The authors were helped by the students.\n\nInput: The artists thanked the athlete.\nOutput: The athlete was thanked by the artists." } }, "94": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The author believed the tourist.\nOutput: The tourist was believed by the author.\n\nInput: The doctors thanked the author.\nOutput: The author was thanked by the doctors.\n\nInput: The actors recognized the author.\nOutput: The author was recognized by the actors.\n\nInput: The lawyer encouraged the senators.\nOutput: The senators were encouraged by the lawyer.\n\nInput: The doctors advised the author.\nOutput: The author was advised by the doctors.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The author believed the tourist.\nOutput: The tourist was believed by the author.\n\nInput: The doctors thanked the author.\nOutput: The author was thanked by the doctors.\n\nInput: The actors recognized the author.\nOutput: The author was recognized by the actors.\n\nInput: The lawyer encouraged the senators.\nOutput: The senators were encouraged by the lawyer.\n\nInput: The doctors advised the author.\nOutput: The author was advised by the doctors." } }, "95": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The presidents contacted the actor.\nOutput: The actor was contacted by the presidents.\n\nInput: The secretary stopped the lawyer.\nOutput: The lawyer was stopped by the secretary.\n\nInput: The manager advised the scientist.\nOutput: The scientist was advised by the manager.\n\nInput: The banker contacted the author.\nOutput: The author was contacted by the banker.\n\nInput: The professors recognized the athlete.\nOutput: The athlete was recognized by the professors.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The presidents contacted the actor.\nOutput: The actor was contacted by the presidents.\n\nInput: The secretary stopped the lawyer.\nOutput: The lawyer was stopped by the secretary.\n\nInput: The manager advised the scientist.\nOutput: The scientist was advised by the manager.\n\nInput: The banker contacted the author.\nOutput: The author was contacted by the banker.\n\nInput: The professors recognized the athlete.\nOutput: The athlete was recognized by the professors." } }, "96": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The lawyers helped the actor.\nOutput: The actor was helped by the lawyers.\n\nInput: The artists encouraged the professor.\nOutput: The professor was encouraged by the artists.\n\nInput: The senator contacted the actor.\nOutput: The actor was contacted by the senator.\n\nInput: The doctor supported the secretary.\nOutput: The secretary was supported by the doctor.\n\nInput: The manager recommended the author.\nOutput: The author was recommended by the manager.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The lawyers helped the actor.\nOutput: The actor was helped by the lawyers.\n\nInput: The artists encouraged the professor.\nOutput: The professor was encouraged by the artists.\n\nInput: The senator contacted the actor.\nOutput: The actor was contacted by the senator.\n\nInput: The doctor supported the secretary.\nOutput: The secretary was supported by the doctor.\n\nInput: The manager recommended the author.\nOutput: The author was recommended by the manager." } }, "97": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The manager thanked the student.\nOutput: The student was thanked by the manager.\n\nInput: The lawyer avoided the secretaries.\nOutput: The secretaries were avoided by the lawyer.\n\nInput: The managers contacted the scientist.\nOutput: The scientist was contacted by the managers.\n\nInput: The banker advised the author.\nOutput: The author was advised by the banker.\n\nInput: The lawyers supported the judge.\nOutput: The judge was supported by the lawyers.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The manager thanked the student.\nOutput: The student was thanked by the manager.\n\nInput: The lawyer avoided the secretaries.\nOutput: The secretaries were avoided by the lawyer.\n\nInput: The managers contacted the scientist.\nOutput: The scientist was contacted by the managers.\n\nInput: The banker advised the author.\nOutput: The author was advised by the banker.\n\nInput: The lawyers supported the judge.\nOutput: The judge was supported by the lawyers." } }, "98": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The president believed the professors.\nOutput: The professors were believed by the president.\n\nInput: The actor advised the managers.\nOutput: The managers were advised by the actor.\n\nInput: The scientist recommended the senators.\nOutput: The senators were recommended by the scientist.\n\nInput: The scientist recognized the student.\nOutput: The student was recognized by the scientist.\n\nInput: The secretary recommended the professor.\nOutput: The professor was recommended by the secretary.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The president believed the professors.\nOutput: The professors were believed by the president.\n\nInput: The actor advised the managers.\nOutput: The managers were advised by the actor.\n\nInput: The scientist recommended the senators.\nOutput: The senators were recommended by the scientist.\n\nInput: The scientist recognized the student.\nOutput: The student was recognized by the scientist.\n\nInput: The secretary recommended the professor.\nOutput: The professor was recommended by the secretary." } }, "99": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The lawyer avoided the professor.\nOutput: The professor was avoided by the lawyer.\n\nInput: The doctor encouraged the lawyers.\nOutput: The lawyers were encouraged by the doctor.\n\nInput: The students recognized the tourist.\nOutput: The tourist was recognized by the students.\n\nInput: The actors recommended the presidents.\nOutput: The presidents were recommended by the actors.\n\nInput: The scientist recognized the student.\nOutput: The student was recognized by the scientist.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The lawyer avoided the professor.\nOutput: The professor was avoided by the lawyer.\n\nInput: The doctor encouraged the lawyers.\nOutput: The lawyers were encouraged by the doctor.\n\nInput: The students recognized the tourist.\nOutput: The tourist was recognized by the students.\n\nInput: The actors recommended the presidents.\nOutput: The presidents were recommended by the actors.\n\nInput: The scientist recognized the student.\nOutput: The student was recognized by the scientist." } }, "100": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The presidents thanked the actors.\nOutput: The actors were thanked by the presidents.\n\nInput: The manager recognized the doctors.\nOutput: The doctors were recognized by the manager.\n\nInput: The actor helped the senators.\nOutput: The senators were helped by the actor.\n\nInput: The athlete avoided the judge.\nOutput: The judge was avoided by the athlete.\n\nInput: The managers avoided the actors.\nOutput: The actors were avoided by the managers.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The presidents thanked the actors.\nOutput: The actors were thanked by the presidents.\n\nInput: The manager recognized the doctors.\nOutput: The doctors were recognized by the manager.\n\nInput: The actor helped the senators.\nOutput: The senators were helped by the actor.\n\nInput: The athlete avoided the judge.\nOutput: The judge was avoided by the athlete.\n\nInput: The managers avoided the actors.\nOutput: The actors were avoided by the managers." } } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/induction_input/antonyms.json ================================================ { "examples": { "1": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: informed\nOutput: uninformed\n\nInput: shout\nOutput: whisper\n\nInput: distal\nOutput: proximal\n\nInput: defiant\nOutput: compliant\n\nInput: unrestricted\nOutput: restricted\n\nThe instruction was", "metadata": { "examples_seen": "Input: informed\nOutput: uninformed\n\nInput: shout\nOutput: whisper\n\nInput: distal\nOutput: proximal\n\nInput: defiant\nOutput: compliant\n\nInput: unrestricted\nOutput: restricted" } }, "2": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: inoffensive\nOutput: offensive\n\nInput: untapped\nOutput: tapped\n\nInput: ordinal\nOutput: cardinal\n\nInput: unexpired\nOutput: expired\n\nInput: obscurity\nOutput: clarity\n\nThe instruction was", "metadata": { "examples_seen": "Input: inoffensive\nOutput: offensive\n\nInput: untapped\nOutput: tapped\n\nInput: ordinal\nOutput: cardinal\n\nInput: unexpired\nOutput: expired\n\nInput: obscurity\nOutput: clarity" } }, "3": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: structured\nOutput: unstructured\n\nInput: designed\nOutput: undesigned\n\nInput: blond\nOutput: brunet\n\nInput: activator\nOutput: inhibitor\n\nInput: geographic\nOutput: magnetic\n\nThe instruction was", "metadata": { "examples_seen": "Input: structured\nOutput: unstructured\n\nInput: designed\nOutput: undesigned\n\nInput: blond\nOutput: brunet\n\nInput: activator\nOutput: inhibitor\n\nInput: geographic\nOutput: magnetic" } }, "4": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: proactive\nOutput: retroactive\n\nInput: cheerful\nOutput: depressing\n\nInput: service\nOutput: disservice\n\nInput: coarsely\nOutput: finely\n\nInput: unashamed\nOutput: ashamed\n\nThe instruction was", "metadata": { "examples_seen": "Input: proactive\nOutput: retroactive\n\nInput: cheerful\nOutput: depressing\n\nInput: service\nOutput: disservice\n\nInput: coarsely\nOutput: finely\n\nInput: unashamed\nOutput: ashamed" } }, "5": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: harmony\nOutput: dissonance\n\nInput: irreplaceable\nOutput: replaceable\n\nInput: inflexible\nOutput: flexible\n\nInput: discreet\nOutput: indiscreet\n\nInput: nonpolitical\nOutput: political\n\nThe instruction was", "metadata": { "examples_seen": "Input: harmony\nOutput: dissonance\n\nInput: irreplaceable\nOutput: replaceable\n\nInput: inflexible\nOutput: flexible\n\nInput: discreet\nOutput: indiscreet\n\nInput: nonpolitical\nOutput: political" } }, "6": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: infinitely\nOutput: finitely\n\nInput: imprecision\nOutput: precision\n\nInput: frequent\nOutput: infrequent\n\nInput: wish\nOutput: begrudge\n\nInput: obstructed\nOutput: unobstructed\n\nThe instruction was", "metadata": { "examples_seen": "Input: infinitely\nOutput: finitely\n\nInput: imprecision\nOutput: precision\n\nInput: frequent\nOutput: infrequent\n\nInput: wish\nOutput: begrudge\n\nInput: obstructed\nOutput: unobstructed" } }, "7": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: indecision\nOutput: decision\n\nInput: progressive\nOutput: regressive\n\nInput: dissonance\nOutput: harmony\n\nInput: incurious\nOutput: curious\n\nInput: strong\nOutput: weak\n\nThe instruction was", "metadata": { "examples_seen": "Input: indecision\nOutput: decision\n\nInput: progressive\nOutput: regressive\n\nInput: dissonance\nOutput: harmony\n\nInput: incurious\nOutput: curious\n\nInput: strong\nOutput: weak" } }, "8": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: autologous\nOutput: homologous\n\nInput: tonic\nOutput: atonic\n\nInput: suffix\nOutput: prefix\n\nInput: unaddressed\nOutput: addressed\n\nInput: fatal\nOutput: nonfatal\n\nThe instruction was", "metadata": { "examples_seen": "Input: autologous\nOutput: homologous\n\nInput: tonic\nOutput: atonic\n\nInput: suffix\nOutput: prefix\n\nInput: unaddressed\nOutput: addressed\n\nInput: fatal\nOutput: nonfatal" } }, "9": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: disorder\nOutput: order\n\nInput: unchangeable\nOutput: changeable\n\nInput: finite\nOutput: infinite\n\nInput: distant\nOutput: close\n\nInput: sophisticated\nOutput: naive\n\nThe instruction was", "metadata": { "examples_seen": "Input: disorder\nOutput: order\n\nInput: unchangeable\nOutput: changeable\n\nInput: finite\nOutput: infinite\n\nInput: distant\nOutput: close\n\nInput: sophisticated\nOutput: naive" } }, "10": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: insolubility\nOutput: solubility\n\nInput: inflexibility\nOutput: flexibility\n\nInput: found\nOutput: lost\n\nInput: vertebrate\nOutput: invertebrate\n\nInput: demobilization\nOutput: mobilization\n\nThe instruction was", "metadata": { "examples_seen": "Input: insolubility\nOutput: solubility\n\nInput: inflexibility\nOutput: flexibility\n\nInput: found\nOutput: lost\n\nInput: vertebrate\nOutput: invertebrate\n\nInput: demobilization\nOutput: mobilization" } }, "11": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: home\nOutput: away\n\nInput: unofficial\nOutput: official\n\nInput: insignificant\nOutput: significant\n\nInput: illogically\nOutput: logically\n\nInput: honesty\nOutput: dishonesty\n\nThe instruction was", "metadata": { "examples_seen": "Input: home\nOutput: away\n\nInput: unofficial\nOutput: official\n\nInput: insignificant\nOutput: significant\n\nInput: illogically\nOutput: logically\n\nInput: honesty\nOutput: dishonesty" } }, "12": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: personal\nOutput: impersonal\n\nInput: nonsurgical\nOutput: surgical\n\nInput: unauthorized\nOutput: authorized\n\nInput: inconsiderate\nOutput: considerate\n\nInput: vocal\nOutput: instrumental\n\nThe instruction was", "metadata": { "examples_seen": "Input: personal\nOutput: impersonal\n\nInput: nonsurgical\nOutput: surgical\n\nInput: unauthorized\nOutput: authorized\n\nInput: inconsiderate\nOutput: considerate\n\nInput: vocal\nOutput: instrumental" } }, "13": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: stabilization\nOutput: destabilization\n\nInput: centripetal\nOutput: centrifugal\n\nInput: morality\nOutput: immorality\n\nInput: harmony\nOutput: dissonance\n\nInput: nonalignment\nOutput: alignment\n\nThe instruction was", "metadata": { "examples_seen": "Input: stabilization\nOutput: destabilization\n\nInput: centripetal\nOutput: centrifugal\n\nInput: morality\nOutput: immorality\n\nInput: harmony\nOutput: dissonance\n\nInput: nonalignment\nOutput: alignment" } }, "14": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: acquittal\nOutput: conviction\n\nInput: frivolous\nOutput: serious\n\nInput: ugly\nOutput: beautiful\n\nInput: unchain\nOutput: chain\n\nInput: thinly\nOutput: thickly\n\nThe instruction was", "metadata": { "examples_seen": "Input: acquittal\nOutput: conviction\n\nInput: frivolous\nOutput: serious\n\nInput: ugly\nOutput: beautiful\n\nInput: unchain\nOutput: chain\n\nInput: thinly\nOutput: thickly" } }, "15": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: neuter\nOutput: feminine\n\nInput: settled\nOutput: unsettled\n\nInput: scarce\nOutput: abundant\n\nInput: sufficiently\nOutput: insufficiently\n\nInput: disagreement\nOutput: agreement\n\nThe instruction was", "metadata": { "examples_seen": "Input: neuter\nOutput: feminine\n\nInput: settled\nOutput: unsettled\n\nInput: scarce\nOutput: abundant\n\nInput: sufficiently\nOutput: insufficiently\n\nInput: disagreement\nOutput: agreement" } }, "16": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sweeten\nOutput: sour\n\nInput: difficulty\nOutput: ease\n\nInput: derived\nOutput: underived\n\nInput: assigned\nOutput: unassigned\n\nInput: disagreement\nOutput: agreement\n\nThe instruction was", "metadata": { "examples_seen": "Input: sweeten\nOutput: sour\n\nInput: difficulty\nOutput: ease\n\nInput: derived\nOutput: underived\n\nInput: assigned\nOutput: unassigned\n\nInput: disagreement\nOutput: agreement" } }, "17": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: likeness\nOutput: unlikeness\n\nInput: improved\nOutput: unimproved\n\nInput: disarrange\nOutput: arrange\n\nInput: unready\nOutput: ready\n\nInput: feminine\nOutput: neuter\n\nThe instruction was", "metadata": { "examples_seen": "Input: likeness\nOutput: unlikeness\n\nInput: improved\nOutput: unimproved\n\nInput: disarrange\nOutput: arrange\n\nInput: unready\nOutput: ready\n\nInput: feminine\nOutput: neuter" } }, "18": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: steadily\nOutput: unsteadily\n\nInput: infinitely\nOutput: finitely\n\nInput: mechanical\nOutput: nonmechanical\n\nInput: invest\nOutput: divest\n\nInput: visibility\nOutput: invisibility\n\nThe instruction was", "metadata": { "examples_seen": "Input: steadily\nOutput: unsteadily\n\nInput: infinitely\nOutput: finitely\n\nInput: mechanical\nOutput: nonmechanical\n\nInput: invest\nOutput: divest\n\nInput: visibility\nOutput: invisibility" } }, "19": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: insensitivity\nOutput: sensitivity\n\nInput: careless\nOutput: careful\n\nInput: exclude\nOutput: include\n\nInput: imprecision\nOutput: precision\n\nInput: varied\nOutput: unvaried\n\nThe instruction was", "metadata": { "examples_seen": "Input: insensitivity\nOutput: sensitivity\n\nInput: careless\nOutput: careful\n\nInput: exclude\nOutput: include\n\nInput: imprecision\nOutput: precision\n\nInput: varied\nOutput: unvaried" } }, "20": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ungrateful\nOutput: grateful\n\nInput: fortunately\nOutput: unfortunately\n\nInput: nonalcoholic\nOutput: alcoholic\n\nInput: worsen\nOutput: better\n\nInput: conditional\nOutput: unconditional\n\nThe instruction was", "metadata": { "examples_seen": "Input: ungrateful\nOutput: grateful\n\nInput: fortunately\nOutput: unfortunately\n\nInput: nonalcoholic\nOutput: alcoholic\n\nInput: worsen\nOutput: better\n\nInput: conditional\nOutput: unconditional" } }, "21": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: fitness\nOutput: unfitness\n\nInput: unsold\nOutput: sold\n\nInput: necessitate\nOutput: obviate\n\nInput: unwillingly\nOutput: willingly\n\nInput: identifiable\nOutput: unidentifiable\n\nThe instruction was", "metadata": { "examples_seen": "Input: fitness\nOutput: unfitness\n\nInput: unsold\nOutput: sold\n\nInput: necessitate\nOutput: obviate\n\nInput: unwillingly\nOutput: willingly\n\nInput: identifiable\nOutput: unidentifiable" } }, "22": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: indication\nOutput: contraindication\n\nInput: restricted\nOutput: unrestricted\n\nInput: sedate\nOutput: stimulate\n\nInput: untouched\nOutput: touched\n\nInput: inside\nOutput: outside\n\nThe instruction was", "metadata": { "examples_seen": "Input: indication\nOutput: contraindication\n\nInput: restricted\nOutput: unrestricted\n\nInput: sedate\nOutput: stimulate\n\nInput: untouched\nOutput: touched\n\nInput: inside\nOutput: outside" } }, "23": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: upland\nOutput: lowland\n\nInput: heaviness\nOutput: lightness\n\nInput: tolerably\nOutput: intolerably\n\nInput: majority\nOutput: minority\n\nInput: provincial\nOutput: cosmopolitan\n\nThe instruction was", "metadata": { "examples_seen": "Input: upland\nOutput: lowland\n\nInput: heaviness\nOutput: lightness\n\nInput: tolerably\nOutput: intolerably\n\nInput: majority\nOutput: minority\n\nInput: provincial\nOutput: cosmopolitan" } }, "24": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: loudness\nOutput: softness\n\nInput: committed\nOutput: uncommitted\n\nInput: unemotional\nOutput: emotional\n\nInput: salty\nOutput: fresh\n\nInput: helpful\nOutput: unhelpful\n\nThe instruction was", "metadata": { "examples_seen": "Input: loudness\nOutput: softness\n\nInput: committed\nOutput: uncommitted\n\nInput: unemotional\nOutput: emotional\n\nInput: salty\nOutput: fresh\n\nInput: helpful\nOutput: unhelpful" } }, "25": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: officially\nOutput: unofficially\n\nInput: intolerable\nOutput: tolerable\n\nInput: lively\nOutput: dull\n\nInput: submissive\nOutput: domineering\n\nInput: internally\nOutput: externally\n\nThe instruction was", "metadata": { "examples_seen": "Input: officially\nOutput: unofficially\n\nInput: intolerable\nOutput: tolerable\n\nInput: lively\nOutput: dull\n\nInput: submissive\nOutput: domineering\n\nInput: internally\nOutput: externally" } }, "26": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: purposeful\nOutput: purposeless\n\nInput: untalented\nOutput: talented\n\nInput: changeable\nOutput: unchangeable\n\nInput: nonexplosive\nOutput: explosive\n\nInput: afloat\nOutput: aground\n\nThe instruction was", "metadata": { "examples_seen": "Input: purposeful\nOutput: purposeless\n\nInput: untalented\nOutput: talented\n\nInput: changeable\nOutput: unchangeable\n\nInput: nonexplosive\nOutput: explosive\n\nInput: afloat\nOutput: aground" } }, "27": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: incorrectly\nOutput: correctly\n\nInput: unimpressive\nOutput: impressive\n\nInput: multiple\nOutput: single\n\nInput: wholly\nOutput: partly\n\nInput: unvaried\nOutput: varied\n\nThe instruction was", "metadata": { "examples_seen": "Input: incorrectly\nOutput: correctly\n\nInput: unimpressive\nOutput: impressive\n\nInput: multiple\nOutput: single\n\nInput: wholly\nOutput: partly\n\nInput: unvaried\nOutput: varied" } }, "28": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: inconveniently\nOutput: conveniently\n\nInput: caudal\nOutput: cephalic\n\nInput: concrete\nOutput: abstract\n\nInput: contented\nOutput: discontented\n\nInput: frivolous\nOutput: serious\n\nThe instruction was", "metadata": { "examples_seen": "Input: inconveniently\nOutput: conveniently\n\nInput: caudal\nOutput: cephalic\n\nInput: concrete\nOutput: abstract\n\nInput: contented\nOutput: discontented\n\nInput: frivolous\nOutput: serious" } }, "29": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: carelessly\nOutput: carefully\n\nInput: happily\nOutput: unhappily\n\nInput: hot\nOutput: cold\n\nInput: foe\nOutput: friend\n\nInput: conform\nOutput: deviate\n\nThe instruction was", "metadata": { "examples_seen": "Input: carelessly\nOutput: carefully\n\nInput: happily\nOutput: unhappily\n\nInput: hot\nOutput: cold\n\nInput: foe\nOutput: friend\n\nInput: conform\nOutput: deviate" } }, "30": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: unwind\nOutput: wind\n\nInput: concealed\nOutput: unconcealed\n\nInput: insignificant\nOutput: significant\n\nInput: compatibility\nOutput: incompatibility\n\nInput: decentralization\nOutput: centralization\n\nThe instruction was", "metadata": { "examples_seen": "Input: unwind\nOutput: wind\n\nInput: concealed\nOutput: unconcealed\n\nInput: insignificant\nOutput: significant\n\nInput: compatibility\nOutput: incompatibility\n\nInput: decentralization\nOutput: centralization" } }, "31": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: nonmechanical\nOutput: mechanical\n\nInput: guilt\nOutput: innocence\n\nInput: considerable\nOutput: inconsiderable\n\nInput: avoid\nOutput: confront\n\nInput: validate\nOutput: invalidate\n\nThe instruction was", "metadata": { "examples_seen": "Input: nonmechanical\nOutput: mechanical\n\nInput: guilt\nOutput: innocence\n\nInput: considerable\nOutput: inconsiderable\n\nInput: avoid\nOutput: confront\n\nInput: validate\nOutput: invalidate" } }, "32": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: undrained\nOutput: drained\n\nInput: unloving\nOutput: loving\n\nInput: ultimate\nOutput: proximate\n\nInput: incautiously\nOutput: cautiously\n\nInput: uncombined\nOutput: combined\n\nThe instruction was", "metadata": { "examples_seen": "Input: undrained\nOutput: drained\n\nInput: unloving\nOutput: loving\n\nInput: ultimate\nOutput: proximate\n\nInput: incautiously\nOutput: cautiously\n\nInput: uncombined\nOutput: combined" } }, "33": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: colored\nOutput: uncolored\n\nInput: nonproliferation\nOutput: proliferation\n\nInput: citizen\nOutput: noncitizen\n\nInput: autologous\nOutput: homologous\n\nInput: progress\nOutput: regress\n\nThe instruction was", "metadata": { "examples_seen": "Input: colored\nOutput: uncolored\n\nInput: nonproliferation\nOutput: proliferation\n\nInput: citizen\nOutput: noncitizen\n\nInput: autologous\nOutput: homologous\n\nInput: progress\nOutput: regress" } }, "34": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: conditional\nOutput: unconditional\n\nInput: applied\nOutput: theoretical\n\nInput: uncritically\nOutput: critically\n\nInput: unreliability\nOutput: reliability\n\nInput: closed\nOutput: open\n\nThe instruction was", "metadata": { "examples_seen": "Input: conditional\nOutput: unconditional\n\nInput: applied\nOutput: theoretical\n\nInput: uncritically\nOutput: critically\n\nInput: unreliability\nOutput: reliability\n\nInput: closed\nOutput: open" } }, "35": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: security\nOutput: insecurity\n\nInput: responsible\nOutput: irresponsible\n\nInput: fertile\nOutput: sterile\n\nInput: unrealistic\nOutput: realistic\n\nInput: association\nOutput: disassociation\n\nThe instruction was", "metadata": { "examples_seen": "Input: security\nOutput: insecurity\n\nInput: responsible\nOutput: irresponsible\n\nInput: fertile\nOutput: sterile\n\nInput: unrealistic\nOutput: realistic\n\nInput: association\nOutput: disassociation" } }, "36": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: insincerity\nOutput: sincerity\n\nInput: imprecision\nOutput: precision\n\nInput: found\nOutput: lost\n\nInput: isotropic\nOutput: anisotropic\n\nInput: luckily\nOutput: unluckily\n\nThe instruction was", "metadata": { "examples_seen": "Input: insincerity\nOutput: sincerity\n\nInput: imprecision\nOutput: precision\n\nInput: found\nOutput: lost\n\nInput: isotropic\nOutput: anisotropic\n\nInput: luckily\nOutput: unluckily" } }, "37": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: satisfactory\nOutput: unsatisfactory\n\nInput: inwardly\nOutput: outwardly\n\nInput: voluntarily\nOutput: involuntarily\n\nInput: ill\nOutput: well\n\nInput: providence\nOutput: improvidence\n\nThe instruction was", "metadata": { "examples_seen": "Input: satisfactory\nOutput: unsatisfactory\n\nInput: inwardly\nOutput: outwardly\n\nInput: voluntarily\nOutput: involuntarily\n\nInput: ill\nOutput: well\n\nInput: providence\nOutput: improvidence" } }, "38": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: unfilled\nOutput: filled\n\nInput: increased\nOutput: decreased\n\nInput: employer\nOutput: employee\n\nInput: near\nOutput: far\n\nInput: equatorial\nOutput: polar\n\nThe instruction was", "metadata": { "examples_seen": "Input: unfilled\nOutput: filled\n\nInput: increased\nOutput: decreased\n\nInput: employer\nOutput: employee\n\nInput: near\nOutput: far\n\nInput: equatorial\nOutput: polar" } }, "39": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: disengage\nOutput: engage\n\nInput: declared\nOutput: undeclared\n\nInput: insolubility\nOutput: solubility\n\nInput: here\nOutput: there\n\nInput: dullness\nOutput: brightness\n\nThe instruction was", "metadata": { "examples_seen": "Input: disengage\nOutput: engage\n\nInput: declared\nOutput: undeclared\n\nInput: insolubility\nOutput: solubility\n\nInput: here\nOutput: there\n\nInput: dullness\nOutput: brightness" } }, "40": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: tangled\nOutput: untangled\n\nInput: insolvency\nOutput: solvency\n\nInput: unsure\nOutput: sure\n\nInput: manage\nOutput: fail\n\nInput: breathing\nOutput: breathless\n\nThe instruction was", "metadata": { "examples_seen": "Input: tangled\nOutput: untangled\n\nInput: insolvency\nOutput: solvency\n\nInput: unsure\nOutput: sure\n\nInput: manage\nOutput: fail\n\nInput: breathing\nOutput: breathless" } }, "41": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: scarce\nOutput: abundant\n\nInput: unequipped\nOutput: equipped\n\nInput: war\nOutput: peace\n\nInput: noncritical\nOutput: critical\n\nInput: sealed\nOutput: unsealed\n\nThe instruction was", "metadata": { "examples_seen": "Input: scarce\nOutput: abundant\n\nInput: unequipped\nOutput: equipped\n\nInput: war\nOutput: peace\n\nInput: noncritical\nOutput: critical\n\nInput: sealed\nOutput: unsealed" } }, "42": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: northern\nOutput: southern\n\nInput: irritate\nOutput: soothe\n\nInput: declared\nOutput: undeclared\n\nInput: perfection\nOutput: imperfection\n\nInput: green\nOutput: ripe\n\nThe instruction was", "metadata": { "examples_seen": "Input: northern\nOutput: southern\n\nInput: irritate\nOutput: soothe\n\nInput: declared\nOutput: undeclared\n\nInput: perfection\nOutput: imperfection\n\nInput: green\nOutput: ripe" } }, "43": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: maladjusted\nOutput: adjusted\n\nInput: unavailability\nOutput: availability\n\nInput: unlined\nOutput: lined\n\nInput: directional\nOutput: omnidirectional\n\nInput: stand\nOutput: lie\n\nThe instruction was", "metadata": { "examples_seen": "Input: maladjusted\nOutput: adjusted\n\nInput: unavailability\nOutput: availability\n\nInput: unlined\nOutput: lined\n\nInput: directional\nOutput: omnidirectional\n\nInput: stand\nOutput: lie" } }, "44": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: immortal\nOutput: mortal\n\nInput: ungracious\nOutput: gracious\n\nInput: infinite\nOutput: finite\n\nInput: uninjured\nOutput: injured\n\nInput: coordination\nOutput: incoordination\n\nThe instruction was", "metadata": { "examples_seen": "Input: immortal\nOutput: mortal\n\nInput: ungracious\nOutput: gracious\n\nInput: infinite\nOutput: finite\n\nInput: uninjured\nOutput: injured\n\nInput: coordination\nOutput: incoordination" } }, "45": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dejected\nOutput: elated\n\nInput: creative\nOutput: uncreative\n\nInput: courage\nOutput: cowardice\n\nInput: outer\nOutput: inner\n\nInput: ease\nOutput: difficulty\n\nThe instruction was", "metadata": { "examples_seen": "Input: dejected\nOutput: elated\n\nInput: creative\nOutput: uncreative\n\nInput: courage\nOutput: cowardice\n\nInput: outer\nOutput: inner\n\nInput: ease\nOutput: difficulty" } }, "46": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: decreased\nOutput: increased\n\nInput: integrate\nOutput: differentiate\n\nInput: limited\nOutput: unlimited\n\nInput: activate\nOutput: inactivate\n\nInput: worse\nOutput: better\n\nThe instruction was", "metadata": { "examples_seen": "Input: decreased\nOutput: increased\n\nInput: integrate\nOutput: differentiate\n\nInput: limited\nOutput: unlimited\n\nInput: activate\nOutput: inactivate\n\nInput: worse\nOutput: better" } }, "47": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: adorned\nOutput: unadorned\n\nInput: counterfeit\nOutput: genuine\n\nInput: insolvent\nOutput: solvent\n\nInput: pleasure\nOutput: pain\n\nInput: deregulate\nOutput: regulate\n\nThe instruction was", "metadata": { "examples_seen": "Input: adorned\nOutput: unadorned\n\nInput: counterfeit\nOutput: genuine\n\nInput: insolvent\nOutput: solvent\n\nInput: pleasure\nOutput: pain\n\nInput: deregulate\nOutput: regulate" } }, "48": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: untapped\nOutput: tapped\n\nInput: immaterial\nOutput: material\n\nInput: clergyman\nOutput: layman\n\nInput: unflattering\nOutput: flattering\n\nInput: egalitarian\nOutput: elitist\n\nThe instruction was", "metadata": { "examples_seen": "Input: untapped\nOutput: tapped\n\nInput: immaterial\nOutput: material\n\nInput: clergyman\nOutput: layman\n\nInput: unflattering\nOutput: flattering\n\nInput: egalitarian\nOutput: elitist" } }, "49": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: distant\nOutput: close\n\nInput: inappropriate\nOutput: appropriate\n\nInput: weakly\nOutput: strongly\n\nInput: difficulty\nOutput: ease\n\nInput: hostile\nOutput: friendly\n\nThe instruction was", "metadata": { "examples_seen": "Input: distant\nOutput: close\n\nInput: inappropriate\nOutput: appropriate\n\nInput: weakly\nOutput: strongly\n\nInput: difficulty\nOutput: ease\n\nInput: hostile\nOutput: friendly" } }, "50": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: volatile\nOutput: nonvolatile\n\nInput: whole\nOutput: half\n\nInput: nearness\nOutput: farness\n\nInput: continuance\nOutput: discontinuance\n\nInput: peripheral\nOutput: central\n\nThe instruction was", "metadata": { "examples_seen": "Input: volatile\nOutput: nonvolatile\n\nInput: whole\nOutput: half\n\nInput: nearness\nOutput: farness\n\nInput: continuance\nOutput: discontinuance\n\nInput: peripheral\nOutput: central" } }, "51": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: confidence\nOutput: diffidence\n\nInput: subordinating\nOutput: coordinating\n\nInput: stuck\nOutput: unstuck\n\nInput: improbable\nOutput: probable\n\nInput: specialized\nOutput: unspecialized\n\nThe instruction was", "metadata": { "examples_seen": "Input: confidence\nOutput: diffidence\n\nInput: subordinating\nOutput: coordinating\n\nInput: stuck\nOutput: unstuck\n\nInput: improbable\nOutput: probable\n\nInput: specialized\nOutput: unspecialized" } }, "52": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: impossibly\nOutput: possibly\n\nInput: there\nOutput: here\n\nInput: kern\nOutput: kern\n\nInput: win\nOutput: lose\n\nInput: docile\nOutput: stubborn\n\nThe instruction was", "metadata": { "examples_seen": "Input: impossibly\nOutput: possibly\n\nInput: there\nOutput: here\n\nInput: kern\nOutput: kern\n\nInput: win\nOutput: lose\n\nInput: docile\nOutput: stubborn" } }, "53": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: distributive\nOutput: collective\n\nInput: linguistic\nOutput: nonlinguistic\n\nInput: criticize\nOutput: praise\n\nInput: illegality\nOutput: legality\n\nInput: incoordination\nOutput: coordination\n\nThe instruction was", "metadata": { "examples_seen": "Input: distributive\nOutput: collective\n\nInput: linguistic\nOutput: nonlinguistic\n\nInput: criticize\nOutput: praise\n\nInput: illegality\nOutput: legality\n\nInput: incoordination\nOutput: coordination" } }, "54": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: westerly\nOutput: easterly\n\nInput: virtuous\nOutput: wicked\n\nInput: differentiate\nOutput: integrate\n\nInput: incorrect\nOutput: correct\n\nInput: parasite\nOutput: host\n\nThe instruction was", "metadata": { "examples_seen": "Input: westerly\nOutput: easterly\n\nInput: virtuous\nOutput: wicked\n\nInput: differentiate\nOutput: integrate\n\nInput: incorrect\nOutput: correct\n\nInput: parasite\nOutput: host" } }, "55": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: important\nOutput: unimportant\n\nInput: acquit\nOutput: convict\n\nInput: extinguish\nOutput: ignite\n\nInput: merit\nOutput: demerit\n\nInput: separate\nOutput: joint\n\nThe instruction was", "metadata": { "examples_seen": "Input: important\nOutput: unimportant\n\nInput: acquit\nOutput: convict\n\nInput: extinguish\nOutput: ignite\n\nInput: merit\nOutput: demerit\n\nInput: separate\nOutput: joint" } }, "56": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: discontented\nOutput: contented\n\nInput: diffident\nOutput: confident\n\nInput: unbelief\nOutput: belief\n\nInput: nonparticipation\nOutput: participation\n\nInput: blur\nOutput: focus\n\nThe instruction was", "metadata": { "examples_seen": "Input: discontented\nOutput: contented\n\nInput: diffident\nOutput: confident\n\nInput: unbelief\nOutput: belief\n\nInput: nonparticipation\nOutput: participation\n\nInput: blur\nOutput: focus" } }, "57": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: lie\nOutput: stand\n\nInput: unsealed\nOutput: sealed\n\nInput: moderately\nOutput: immoderately\n\nInput: uneven\nOutput: even\n\nInput: nonconformity\nOutput: conformity\n\nThe instruction was", "metadata": { "examples_seen": "Input: lie\nOutput: stand\n\nInput: unsealed\nOutput: sealed\n\nInput: moderately\nOutput: immoderately\n\nInput: uneven\nOutput: even\n\nInput: nonconformity\nOutput: conformity" } }, "58": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: unhappily\nOutput: happily\n\nInput: impatient\nOutput: patient\n\nInput: stability\nOutput: instability\n\nInput: coherence\nOutput: incoherence\n\nInput: downward\nOutput: upward\n\nThe instruction was", "metadata": { "examples_seen": "Input: unhappily\nOutput: happily\n\nInput: impatient\nOutput: patient\n\nInput: stability\nOutput: instability\n\nInput: coherence\nOutput: incoherence\n\nInput: downward\nOutput: upward" } }, "59": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: incredible\nOutput: credible\n\nInput: hot\nOutput: cold\n\nInput: inconsistent\nOutput: consistent\n\nInput: objectively\nOutput: subjectively\n\nInput: irregularly\nOutput: regularly\n\nThe instruction was", "metadata": { "examples_seen": "Input: incredible\nOutput: credible\n\nInput: hot\nOutput: cold\n\nInput: inconsistent\nOutput: consistent\n\nInput: objectively\nOutput: subjectively\n\nInput: irregularly\nOutput: regularly" } }, "60": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: unwrap\nOutput: wrap\n\nInput: egoistic\nOutput: altruistic\n\nInput: upland\nOutput: lowland\n\nInput: sterile\nOutput: fertile\n\nInput: dove\nOutput: hawk\n\nThe instruction was", "metadata": { "examples_seen": "Input: unwrap\nOutput: wrap\n\nInput: egoistic\nOutput: altruistic\n\nInput: upland\nOutput: lowland\n\nInput: sterile\nOutput: fertile\n\nInput: dove\nOutput: hawk" } }, "61": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: masculinity\nOutput: femininity\n\nInput: cry\nOutput: laugh\n\nInput: disapprobation\nOutput: approbation\n\nInput: noninterference\nOutput: interference\n\nInput: evil\nOutput: good\n\nThe instruction was", "metadata": { "examples_seen": "Input: masculinity\nOutput: femininity\n\nInput: cry\nOutput: laugh\n\nInput: disapprobation\nOutput: approbation\n\nInput: noninterference\nOutput: interference\n\nInput: evil\nOutput: good" } }, "62": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: falsify\nOutput: correct\n\nInput: unoriented\nOutput: oriented\n\nInput: principled\nOutput: unprincipled\n\nInput: biological\nOutput: adoptive\n\nInput: heterologous\nOutput: analogous\n\nThe instruction was", "metadata": { "examples_seen": "Input: falsify\nOutput: correct\n\nInput: unoriented\nOutput: oriented\n\nInput: principled\nOutput: unprincipled\n\nInput: biological\nOutput: adoptive\n\nInput: heterologous\nOutput: analogous" } }, "63": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: frivolity\nOutput: seriousness\n\nInput: inland\nOutput: coastal\n\nInput: adjusted\nOutput: unadjusted\n\nInput: sharpen\nOutput: dull\n\nInput: ineffective\nOutput: effective\n\nThe instruction was", "metadata": { "examples_seen": "Input: frivolity\nOutput: seriousness\n\nInput: inland\nOutput: coastal\n\nInput: adjusted\nOutput: unadjusted\n\nInput: sharpen\nOutput: dull\n\nInput: ineffective\nOutput: effective" } }, "64": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: able\nOutput: unable\n\nInput: repel\nOutput: attract\n\nInput: divided\nOutput: united\n\nInput: uncharitable\nOutput: charitable\n\nInput: inflow\nOutput: outflow\n\nThe instruction was", "metadata": { "examples_seen": "Input: able\nOutput: unable\n\nInput: repel\nOutput: attract\n\nInput: divided\nOutput: united\n\nInput: uncharitable\nOutput: charitable\n\nInput: inflow\nOutput: outflow" } }, "65": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: intrinsic\nOutput: extrinsic\n\nInput: uncontroversial\nOutput: controversial\n\nInput: exclude\nOutput: include\n\nInput: nonstandard\nOutput: standard\n\nInput: lengthwise\nOutput: crosswise\n\nThe instruction was", "metadata": { "examples_seen": "Input: intrinsic\nOutput: extrinsic\n\nInput: uncontroversial\nOutput: controversial\n\nInput: exclude\nOutput: include\n\nInput: nonstandard\nOutput: standard\n\nInput: lengthwise\nOutput: crosswise" } }, "66": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: rush\nOutput: delay\n\nInput: sold\nOutput: unsold\n\nInput: uninhibited\nOutput: inhibited\n\nInput: uncontaminated\nOutput: contaminated\n\nInput: subsequent\nOutput: antecedent\n\nThe instruction was", "metadata": { "examples_seen": "Input: rush\nOutput: delay\n\nInput: sold\nOutput: unsold\n\nInput: uninhibited\nOutput: inhibited\n\nInput: uncontaminated\nOutput: contaminated\n\nInput: subsequent\nOutput: antecedent" } }, "67": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: uncertain\nOutput: certain\n\nInput: knowable\nOutput: unknowable\n\nInput: abundance\nOutput: scarcity\n\nInput: front\nOutput: back\n\nInput: fraternal\nOutput: identical\n\nThe instruction was", "metadata": { "examples_seen": "Input: uncertain\nOutput: certain\n\nInput: knowable\nOutput: unknowable\n\nInput: abundance\nOutput: scarcity\n\nInput: front\nOutput: back\n\nInput: fraternal\nOutput: identical" } }, "68": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: unwind\nOutput: wind\n\nInput: assemble\nOutput: disassemble\n\nInput: unsupervised\nOutput: supervised\n\nInput: nourished\nOutput: malnourished\n\nInput: immaterial\nOutput: material\n\nThe instruction was", "metadata": { "examples_seen": "Input: unwind\nOutput: wind\n\nInput: assemble\nOutput: disassemble\n\nInput: unsupervised\nOutput: supervised\n\nInput: nourished\nOutput: malnourished\n\nInput: immaterial\nOutput: material" } }, "69": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: succumb\nOutput: survive\n\nInput: leave\nOutput: arrive\n\nInput: uncharitable\nOutput: charitable\n\nInput: intelligible\nOutput: unintelligible\n\nInput: inexpedient\nOutput: expedient\n\nThe instruction was", "metadata": { "examples_seen": "Input: succumb\nOutput: survive\n\nInput: leave\nOutput: arrive\n\nInput: uncharitable\nOutput: charitable\n\nInput: intelligible\nOutput: unintelligible\n\nInput: inexpedient\nOutput: expedient" } }, "70": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: matriarchal\nOutput: patriarchal\n\nInput: inwardly\nOutput: outwardly\n\nInput: regular\nOutput: irregular\n\nInput: disclaim\nOutput: claim\n\nInput: unaltered\nOutput: altered\n\nThe instruction was", "metadata": { "examples_seen": "Input: matriarchal\nOutput: patriarchal\n\nInput: inwardly\nOutput: outwardly\n\nInput: regular\nOutput: irregular\n\nInput: disclaim\nOutput: claim\n\nInput: unaltered\nOutput: altered" } }, "71": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: regular\nOutput: irregular\n\nInput: carelessly\nOutput: carefully\n\nInput: inadequacy\nOutput: adequacy\n\nInput: outgoing\nOutput: incoming\n\nInput: perfectly\nOutput: imperfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: regular\nOutput: irregular\n\nInput: carelessly\nOutput: carefully\n\nInput: inadequacy\nOutput: adequacy\n\nInput: outgoing\nOutput: incoming\n\nInput: perfectly\nOutput: imperfectly" } }, "72": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: abstract\nOutput: concrete\n\nInput: handless\nOutput: handed\n\nInput: northern\nOutput: southern\n\nInput: intangible\nOutput: tangible\n\nInput: unswept\nOutput: swept\n\nThe instruction was", "metadata": { "examples_seen": "Input: abstract\nOutput: concrete\n\nInput: handless\nOutput: handed\n\nInput: northern\nOutput: southern\n\nInput: intangible\nOutput: tangible\n\nInput: unswept\nOutput: swept" } }, "73": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: hardness\nOutput: softness\n\nInput: verbal\nOutput: numerical\n\nInput: never\nOutput: ever\n\nInput: scarce\nOutput: abundant\n\nInput: cephalic\nOutput: caudal\n\nThe instruction was", "metadata": { "examples_seen": "Input: hardness\nOutput: softness\n\nInput: verbal\nOutput: numerical\n\nInput: never\nOutput: ever\n\nInput: scarce\nOutput: abundant\n\nInput: cephalic\nOutput: caudal" } }, "74": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: perfectly\nOutput: imperfectly\n\nInput: hydrophobic\nOutput: hydrophilic\n\nInput: harmonious\nOutput: inharmonious\n\nInput: inelegant\nOutput: elegant\n\nInput: unsettled\nOutput: settled\n\nThe instruction was", "metadata": { "examples_seen": "Input: perfectly\nOutput: imperfectly\n\nInput: hydrophobic\nOutput: hydrophilic\n\nInput: harmonious\nOutput: inharmonious\n\nInput: inelegant\nOutput: elegant\n\nInput: unsettled\nOutput: settled" } }, "75": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: belief\nOutput: unbelief\n\nInput: improved\nOutput: unimproved\n\nInput: touched\nOutput: untouched\n\nInput: supply\nOutput: demand\n\nInput: ancestor\nOutput: descendant\n\nThe instruction was", "metadata": { "examples_seen": "Input: belief\nOutput: unbelief\n\nInput: improved\nOutput: unimproved\n\nInput: touched\nOutput: untouched\n\nInput: supply\nOutput: demand\n\nInput: ancestor\nOutput: descendant" } }, "76": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: increased\nOutput: decreased\n\nInput: selfish\nOutput: unselfish\n\nInput: connect\nOutput: disconnect\n\nInput: sensitive\nOutput: insensitive\n\nInput: noncompetitive\nOutput: competitive\n\nThe instruction was", "metadata": { "examples_seen": "Input: increased\nOutput: decreased\n\nInput: selfish\nOutput: unselfish\n\nInput: connect\nOutput: disconnect\n\nInput: sensitive\nOutput: insensitive\n\nInput: noncompetitive\nOutput: competitive" } }, "77": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: unequal\nOutput: equal\n\nInput: sold\nOutput: unsold\n\nInput: ignite\nOutput: extinguish\n\nInput: immobility\nOutput: mobility\n\nInput: dissatisfaction\nOutput: satisfaction\n\nThe instruction was", "metadata": { "examples_seen": "Input: unequal\nOutput: equal\n\nInput: sold\nOutput: unsold\n\nInput: ignite\nOutput: extinguish\n\nInput: immobility\nOutput: mobility\n\nInput: dissatisfaction\nOutput: satisfaction" } }, "78": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: affirmative\nOutput: negative\n\nInput: undefeated\nOutput: defeated\n\nInput: coherence\nOutput: incoherence\n\nInput: boldness\nOutput: timidity\n\nInput: contraindicate\nOutput: indicate\n\nThe instruction was", "metadata": { "examples_seen": "Input: affirmative\nOutput: negative\n\nInput: undefeated\nOutput: defeated\n\nInput: coherence\nOutput: incoherence\n\nInput: boldness\nOutput: timidity\n\nInput: contraindicate\nOutput: indicate" } }, "79": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: studio\nOutput: location\n\nInput: atomistic\nOutput: holistic\n\nInput: brighten\nOutput: darken\n\nInput: living\nOutput: dead\n\nInput: disassemble\nOutput: assemble\n\nThe instruction was", "metadata": { "examples_seen": "Input: studio\nOutput: location\n\nInput: atomistic\nOutput: holistic\n\nInput: brighten\nOutput: darken\n\nInput: living\nOutput: dead\n\nInput: disassemble\nOutput: assemble" } }, "80": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: unpleasant\nOutput: pleasant\n\nInput: diffidence\nOutput: confidence\n\nInput: disenchanted\nOutput: enchanted\n\nInput: lie\nOutput: stand\n\nInput: atomistic\nOutput: holistic\n\nThe instruction was", "metadata": { "examples_seen": "Input: unpleasant\nOutput: pleasant\n\nInput: diffidence\nOutput: confidence\n\nInput: disenchanted\nOutput: enchanted\n\nInput: lie\nOutput: stand\n\nInput: atomistic\nOutput: holistic" } }, "81": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: agreeable\nOutput: disagreeable\n\nInput: vertebrate\nOutput: invertebrate\n\nInput: dissimilarity\nOutput: similarity\n\nInput: defiant\nOutput: compliant\n\nInput: unpleasant\nOutput: pleasant\n\nThe instruction was", "metadata": { "examples_seen": "Input: agreeable\nOutput: disagreeable\n\nInput: vertebrate\nOutput: invertebrate\n\nInput: dissimilarity\nOutput: similarity\n\nInput: defiant\nOutput: compliant\n\nInput: unpleasant\nOutput: pleasant" } }, "82": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sealed\nOutput: unsealed\n\nInput: narrowing\nOutput: widening\n\nInput: unpalatable\nOutput: palatable\n\nInput: incontinent\nOutput: continent\n\nInput: unloading\nOutput: loading\n\nThe instruction was", "metadata": { "examples_seen": "Input: sealed\nOutput: unsealed\n\nInput: narrowing\nOutput: widening\n\nInput: unpalatable\nOutput: palatable\n\nInput: incontinent\nOutput: continent\n\nInput: unloading\nOutput: loading" } }, "83": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: disapprove\nOutput: approve\n\nInput: suffer\nOutput: enjoy\n\nInput: quiet\nOutput: active\n\nInput: worthy\nOutput: unworthy\n\nInput: specialize\nOutput: diversify\n\nThe instruction was", "metadata": { "examples_seen": "Input: disapprove\nOutput: approve\n\nInput: suffer\nOutput: enjoy\n\nInput: quiet\nOutput: active\n\nInput: worthy\nOutput: unworthy\n\nInput: specialize\nOutput: diversify" } }, "84": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: focused\nOutput: unfocused\n\nInput: inaccessibility\nOutput: accessibility\n\nInput: proud\nOutput: humble\n\nInput: leave\nOutput: arrive\n\nInput: forfeit\nOutput: claim\n\nThe instruction was", "metadata": { "examples_seen": "Input: focused\nOutput: unfocused\n\nInput: inaccessibility\nOutput: accessibility\n\nInput: proud\nOutput: humble\n\nInput: leave\nOutput: arrive\n\nInput: forfeit\nOutput: claim" } }, "85": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: affirmative\nOutput: negative\n\nInput: temperance\nOutput: intemperance\n\nInput: unsaturated\nOutput: saturated\n\nInput: descending\nOutput: ascending\n\nInput: uncontrolled\nOutput: controlled\n\nThe instruction was", "metadata": { "examples_seen": "Input: affirmative\nOutput: negative\n\nInput: temperance\nOutput: intemperance\n\nInput: unsaturated\nOutput: saturated\n\nInput: descending\nOutput: ascending\n\nInput: uncontrolled\nOutput: controlled" } }, "86": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: joyful\nOutput: sorrowful\n\nInput: reverent\nOutput: irreverent\n\nInput: hook\nOutput: unhook\n\nInput: polar\nOutput: equatorial\n\nInput: involved\nOutput: uninvolved\n\nThe instruction was", "metadata": { "examples_seen": "Input: joyful\nOutput: sorrowful\n\nInput: reverent\nOutput: irreverent\n\nInput: hook\nOutput: unhook\n\nInput: polar\nOutput: equatorial\n\nInput: involved\nOutput: uninvolved" } }, "87": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: impalpable\nOutput: palpable\n\nInput: unspecialized\nOutput: specialized\n\nInput: overestimate\nOutput: underestimate\n\nInput: malodorous\nOutput: fragrant\n\nInput: multiple\nOutput: single\n\nThe instruction was", "metadata": { "examples_seen": "Input: impalpable\nOutput: palpable\n\nInput: unspecialized\nOutput: specialized\n\nInput: overestimate\nOutput: underestimate\n\nInput: malodorous\nOutput: fragrant\n\nInput: multiple\nOutput: single" } }, "88": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: deviate\nOutput: conform\n\nInput: noninstitutional\nOutput: institutional\n\nInput: second\nOutput: first\n\nInput: unselfishness\nOutput: selfishness\n\nInput: mobilization\nOutput: demobilization\n\nThe instruction was", "metadata": { "examples_seen": "Input: deviate\nOutput: conform\n\nInput: noninstitutional\nOutput: institutional\n\nInput: second\nOutput: first\n\nInput: unselfishness\nOutput: selfishness\n\nInput: mobilization\nOutput: demobilization" } }, "89": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: stubborn\nOutput: docile\n\nInput: complete\nOutput: incomplete\n\nInput: comedy\nOutput: tragedy\n\nInput: disprove\nOutput: prove\n\nInput: perfection\nOutput: imperfection\n\nThe instruction was", "metadata": { "examples_seen": "Input: stubborn\nOutput: docile\n\nInput: complete\nOutput: incomplete\n\nInput: comedy\nOutput: tragedy\n\nInput: disprove\nOutput: prove\n\nInput: perfection\nOutput: imperfection" } }, "90": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: noncurrent\nOutput: current\n\nInput: intangible\nOutput: tangible\n\nInput: untapped\nOutput: tapped\n\nInput: dissociate\nOutput: associate\n\nInput: nourished\nOutput: malnourished\n\nThe instruction was", "metadata": { "examples_seen": "Input: noncurrent\nOutput: current\n\nInput: intangible\nOutput: tangible\n\nInput: untapped\nOutput: tapped\n\nInput: dissociate\nOutput: associate\n\nInput: nourished\nOutput: malnourished" } }, "91": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: amateur\nOutput: professional\n\nInput: headed\nOutput: headless\n\nInput: likelihood\nOutput: unlikelihood\n\nInput: fractional\nOutput: whole\n\nInput: asymmetry\nOutput: symmetry\n\nThe instruction was", "metadata": { "examples_seen": "Input: amateur\nOutput: professional\n\nInput: headed\nOutput: headless\n\nInput: likelihood\nOutput: unlikelihood\n\nInput: fractional\nOutput: whole\n\nInput: asymmetry\nOutput: symmetry" } }, "92": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: unimpressive\nOutput: impressive\n\nInput: imperceptibly\nOutput: perceptibly\n\nInput: wet\nOutput: dry\n\nInput: fast\nOutput: slow\n\nInput: sympathetic\nOutput: unsympathetic\n\nThe instruction was", "metadata": { "examples_seen": "Input: unimpressive\nOutput: impressive\n\nInput: imperceptibly\nOutput: perceptibly\n\nInput: wet\nOutput: dry\n\nInput: fast\nOutput: slow\n\nInput: sympathetic\nOutput: unsympathetic" } }, "93": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: lighted\nOutput: unlighted\n\nInput: outwardly\nOutput: inwardly\n\nInput: bisexual\nOutput: homosexual\n\nInput: carefully\nOutput: carelessly\n\nInput: queen\nOutput: king\n\nThe instruction was", "metadata": { "examples_seen": "Input: lighted\nOutput: unlighted\n\nInput: outwardly\nOutput: inwardly\n\nInput: bisexual\nOutput: homosexual\n\nInput: carefully\nOutput: carelessly\n\nInput: queen\nOutput: king" } }, "94": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: live\nOutput: dead\n\nInput: quickly\nOutput: slowly\n\nInput: committed\nOutput: uncommitted\n\nInput: looseness\nOutput: tightness\n\nInput: insubordinate\nOutput: subordinate\n\nThe instruction was", "metadata": { "examples_seen": "Input: live\nOutput: dead\n\nInput: quickly\nOutput: slowly\n\nInput: committed\nOutput: uncommitted\n\nInput: looseness\nOutput: tightness\n\nInput: insubordinate\nOutput: subordinate" } }, "95": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: fewest\nOutput: most\n\nInput: superficial\nOutput: profound\n\nInput: biennial\nOutput: annual\n\nInput: unassisted\nOutput: assisted\n\nInput: unclothed\nOutput: clothed\n\nThe instruction was", "metadata": { "examples_seen": "Input: fewest\nOutput: most\n\nInput: superficial\nOutput: profound\n\nInput: biennial\nOutput: annual\n\nInput: unassisted\nOutput: assisted\n\nInput: unclothed\nOutput: clothed" } }, "96": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: concise\nOutput: prolix\n\nInput: digital\nOutput: analogue\n\nInput: uncreative\nOutput: creative\n\nInput: topless\nOutput: topped\n\nInput: unkind\nOutput: kind\n\nThe instruction was", "metadata": { "examples_seen": "Input: concise\nOutput: prolix\n\nInput: digital\nOutput: analogue\n\nInput: uncreative\nOutput: creative\n\nInput: topless\nOutput: topped\n\nInput: unkind\nOutput: kind" } }, "97": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: untroubled\nOutput: troubled\n\nInput: winged\nOutput: wingless\n\nInput: local\nOutput: general\n\nInput: extension\nOutput: flexion\n\nInput: impermeable\nOutput: permeable\n\nThe instruction was", "metadata": { "examples_seen": "Input: untroubled\nOutput: troubled\n\nInput: winged\nOutput: wingless\n\nInput: local\nOutput: general\n\nInput: extension\nOutput: flexion\n\nInput: impermeable\nOutput: permeable" } }, "98": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: contraction\nOutput: expansion\n\nInput: depression\nOutput: elation\n\nInput: uninterested\nOutput: interested\n\nInput: arming\nOutput: disarming\n\nInput: pretentious\nOutput: unpretentious\n\nThe instruction was", "metadata": { "examples_seen": "Input: contraction\nOutput: expansion\n\nInput: depression\nOutput: elation\n\nInput: uninterested\nOutput: interested\n\nInput: arming\nOutput: disarming\n\nInput: pretentious\nOutput: unpretentious" } }, "99": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: leading\nOutput: following\n\nInput: enrich\nOutput: deprive\n\nInput: unbind\nOutput: bind\n\nInput: negate\nOutput: affirm\n\nInput: nontaxable\nOutput: taxable\n\nThe instruction was", "metadata": { "examples_seen": "Input: leading\nOutput: following\n\nInput: enrich\nOutput: deprive\n\nInput: unbind\nOutput: bind\n\nInput: negate\nOutput: affirm\n\nInput: nontaxable\nOutput: taxable" } }, "100": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: minimize\nOutput: maximize\n\nInput: specialist\nOutput: generalist\n\nInput: humane\nOutput: inhumane\n\nInput: accuracy\nOutput: inaccuracy\n\nInput: beauty\nOutput: ugliness\n\nThe instruction was", "metadata": { "examples_seen": "Input: minimize\nOutput: maximize\n\nInput: specialist\nOutput: generalist\n\nInput: humane\nOutput: inhumane\n\nInput: accuracy\nOutput: inaccuracy\n\nInput: beauty\nOutput: ugliness" } } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/induction_input/cause_and_effect.json ================================================ { "examples": { "1": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The dinosaurs became extinct. Sentence 2: A large object hit the Earth.\nOutput: A large object hit the Earth.\n\nInput: Sentence 1: My friend got a promotion. Sentence 2: My friend celebrated with their family.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: The ship capsized. Sentence 2: The wind blew strong.\nOutput: The wind blew strong.\n\nInput: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open.\n\nInput: Sentence 1: The company's posted strong earnings. Sentence 2: The company's stock went up.\nOutput: The company's posted strong earnings.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The dinosaurs became extinct. Sentence 2: A large object hit the Earth.\nOutput: A large object hit the Earth.\n\nInput: Sentence 1: My friend got a promotion. Sentence 2: My friend celebrated with their family.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: The ship capsized. Sentence 2: The wind blew strong.\nOutput: The wind blew strong.\n\nInput: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open.\n\nInput: Sentence 1: The company's posted strong earnings. Sentence 2: The company's stock went up.\nOutput: The company's posted strong earnings." } }, "2": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Tomatoes grew on the vine. Sentence 2: The insect pollinated the tomato flowers.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: The company's posted strong earnings. Sentence 2: The company's stock went up.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: The milk was left outside the fridge over night. Sentence 2: The man sipped the milk and spit it out.\nOutput: The milk was left outside the fridge over night.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Tomatoes grew on the vine. Sentence 2: The insect pollinated the tomato flowers.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: The company's posted strong earnings. Sentence 2: The company's stock went up.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: The milk was left outside the fridge over night. Sentence 2: The man sipped the milk and spit it out.\nOutput: The milk was left outside the fridge over night." } }, "3": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The company's stock went up. Sentence 2: The company's posted strong earnings.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: A watermelon exploded. Sentence 2: A man was covered in sticky red goo.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nInput: Sentence 1: The air conditioner broke. Sentence 2: The family went to the beach.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The company's stock went up. Sentence 2: The company's posted strong earnings.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: A watermelon exploded. Sentence 2: A man was covered in sticky red goo.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nInput: Sentence 1: The air conditioner broke. Sentence 2: The family went to the beach.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery." } }, "4": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The air conditioner broke. Sentence 2: The family went to the beach.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The man sued. Sentence 2: The floor was wet.\nOutput: The floor was wet.\n\nInput: Sentence 1: A bird hit the engine. Sentence 2: The pilot turned on the \"fasten seatbelts\" light.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: The company's stock went up. Sentence 2: The company's posted strong earnings.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: The man turned down the music volume. Sentence 2: The man couldn't hear what the woman was saying.\nOutput: The man couldn't hear what the woman was saying.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The air conditioner broke. Sentence 2: The family went to the beach.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The man sued. Sentence 2: The floor was wet.\nOutput: The floor was wet.\n\nInput: Sentence 1: A bird hit the engine. Sentence 2: The pilot turned on the \"fasten seatbelts\" light.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: The company's stock went up. Sentence 2: The company's posted strong earnings.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: The man turned down the music volume. Sentence 2: The man couldn't hear what the woman was saying.\nOutput: The man couldn't hear what the woman was saying." } }, "5": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The milk was left outside the fridge over night. Sentence 2: The man sipped the milk and spit it out.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: A man was covered in sticky red goo. Sentence 2: A watermelon exploded.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The bottle was left open. Sentence 2: The soda went flat.\nOutput: The bottle was left open.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: The dinosaurs became extinct. Sentence 2: A large object hit the Earth.\nOutput: A large object hit the Earth.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The milk was left outside the fridge over night. Sentence 2: The man sipped the milk and spit it out.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: A man was covered in sticky red goo. Sentence 2: A watermelon exploded.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The bottle was left open. Sentence 2: The soda went flat.\nOutput: The bottle was left open.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: The dinosaurs became extinct. Sentence 2: A large object hit the Earth.\nOutput: A large object hit the Earth." } }, "6": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: The wind blew strong. Sentence 2: The ship capsized.\nOutput: The wind blew strong.\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: The man sued. Sentence 2: The floor was wet.\nOutput: The floor was wet.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: The wind blew strong. Sentence 2: The ship capsized.\nOutput: The wind blew strong.\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: The man sued. Sentence 2: The floor was wet.\nOutput: The floor was wet." } }, "7": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The air conditioner broke. Sentence 2: The family went to the beach.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The man climbed in through the window. Sentence 2: The door was locked.\nOutput: The door was locked.\n\nInput: Sentence 1: The gardener planted a seed. Sentence 2: A flower grew.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: I flipped the switch. Sentence 2: Light filled the room.\nOutput: I flipped the switch.\n\nInput: Sentence 1: The performer ran off the stage. Sentence 2: There was a wardrobe malfunction.\nOutput: There was a wardrobe malfunction.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The air conditioner broke. Sentence 2: The family went to the beach.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The man climbed in through the window. Sentence 2: The door was locked.\nOutput: The door was locked.\n\nInput: Sentence 1: The gardener planted a seed. Sentence 2: A flower grew.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: I flipped the switch. Sentence 2: Light filled the room.\nOutput: I flipped the switch.\n\nInput: Sentence 1: The performer ran off the stage. Sentence 2: There was a wardrobe malfunction.\nOutput: There was a wardrobe malfunction." } }, "8": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: George plugged the laptop charger in. Sentence 2: The laptop ran out of battery.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: The meat spoiled. Sentence 2: The power was out for days.\nOutput: The power was out for days.\n\nInput: Sentence 1: A bird hit the engine. Sentence 2: The pilot turned on the \"fasten seatbelts\" light.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: Sunlight filled the room. Sentence 2: The curtains were opened.\nOutput: The curtains were opened.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: George plugged the laptop charger in. Sentence 2: The laptop ran out of battery.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: The meat spoiled. Sentence 2: The power was out for days.\nOutput: The power was out for days.\n\nInput: Sentence 1: A bird hit the engine. Sentence 2: The pilot turned on the \"fasten seatbelts\" light.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: Sunlight filled the room. Sentence 2: The curtains were opened.\nOutput: The curtains were opened." } }, "9": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The girl skipped school. Sentence 2: The girl got detention.\nOutput: The girl skipped school.\n\nInput: Sentence 1: Acme paid Jill's legal fees. Sentence 2: Jill won the lawsuit against Acme.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The woman who was walking on the street opened her umbrella. Sentence 2: It started raining.\nOutput: It started raining.\n\nInput: Sentence 1: The man turned down the music volume. Sentence 2: The man couldn't hear what the woman was saying.\nOutput: The man couldn't hear what the woman was saying.\n\nInput: Sentence 1: The pilot turned on the \"fasten seatbelts\" light. Sentence 2: A bird hit the engine.\nOutput: A bird hit the engine.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The girl skipped school. Sentence 2: The girl got detention.\nOutput: The girl skipped school.\n\nInput: Sentence 1: Acme paid Jill's legal fees. Sentence 2: Jill won the lawsuit against Acme.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The woman who was walking on the street opened her umbrella. Sentence 2: It started raining.\nOutput: It started raining.\n\nInput: Sentence 1: The man turned down the music volume. Sentence 2: The man couldn't hear what the woman was saying.\nOutput: The man couldn't hear what the woman was saying.\n\nInput: Sentence 1: The pilot turned on the \"fasten seatbelts\" light. Sentence 2: A bird hit the engine.\nOutput: A bird hit the engine." } }, "10": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open.\n\nInput: Sentence 1: I flipped the switch. Sentence 2: Light filled the room.\nOutput: I flipped the switch.\n\nInput: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nInput: Sentence 1: Jimmy took the last piece of cake. Sentence 2: Mom rinsed the tray.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: The man went to jail. Sentence 2: The man robbed a gas station.\nOutput: The man robbed a gas station.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open.\n\nInput: Sentence 1: I flipped the switch. Sentence 2: Light filled the room.\nOutput: I flipped the switch.\n\nInput: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nInput: Sentence 1: Jimmy took the last piece of cake. Sentence 2: Mom rinsed the tray.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: The man went to jail. Sentence 2: The man robbed a gas station.\nOutput: The man robbed a gas station." } }, "11": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The gardener planted a seed. Sentence 2: A flower grew.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: My friend got a promotion. Sentence 2: My friend celebrated with their family.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: A bird hit the engine. Sentence 2: The pilot turned on the \"fasten seatbelts\" light.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The gardener planted a seed. Sentence 2: A flower grew.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: My friend got a promotion. Sentence 2: My friend celebrated with their family.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: A bird hit the engine. Sentence 2: The pilot turned on the \"fasten seatbelts\" light.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers." } }, "12": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: The man turned down the music volume. Sentence 2: The man couldn't hear what the woman was saying.\nOutput: The man couldn't hear what the woman was saying.\n\nInput: Sentence 1: The air conditioner broke. Sentence 2: The family went to the beach.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The man sued. Sentence 2: The floor was wet.\nOutput: The floor was wet.\n\nInput: Sentence 1: The door was locked. Sentence 2: The man climbed in through the window.\nOutput: The door was locked.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: The man turned down the music volume. Sentence 2: The man couldn't hear what the woman was saying.\nOutput: The man couldn't hear what the woman was saying.\n\nInput: Sentence 1: The air conditioner broke. Sentence 2: The family went to the beach.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The man sued. Sentence 2: The floor was wet.\nOutput: The floor was wet.\n\nInput: Sentence 1: The door was locked. Sentence 2: The man climbed in through the window.\nOutput: The door was locked." } }, "13": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The man went to jail. Sentence 2: The man robbed a gas station.\nOutput: The man robbed a gas station.\n\nInput: Sentence 1: The floor was wet. Sentence 2: The man sued.\nOutput: The floor was wet.\n\nInput: Sentence 1: The ship capsized. Sentence 2: The wind blew strong.\nOutput: The wind blew strong.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: I pulled the dog's tail. Sentence 2: The dog bit me.\nOutput: I pulled the dog's tail.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The man went to jail. Sentence 2: The man robbed a gas station.\nOutput: The man robbed a gas station.\n\nInput: Sentence 1: The floor was wet. Sentence 2: The man sued.\nOutput: The floor was wet.\n\nInput: Sentence 1: The ship capsized. Sentence 2: The wind blew strong.\nOutput: The wind blew strong.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: I pulled the dog's tail. Sentence 2: The dog bit me.\nOutput: I pulled the dog's tail." } }, "14": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Ted had a hangover. Sentence 2: Ted went out drinking.\nOutput: Ted went out drinking.\n\nInput: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open.\n\nInput: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: The girl skipped school. Sentence 2: The girl got detention.\nOutput: The girl skipped school.\n\nInput: Sentence 1: The door was locked. Sentence 2: The man climbed in through the window.\nOutput: The door was locked.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Ted had a hangover. Sentence 2: Ted went out drinking.\nOutput: Ted went out drinking.\n\nInput: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open.\n\nInput: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: The girl skipped school. Sentence 2: The girl got detention.\nOutput: The girl skipped school.\n\nInput: Sentence 1: The door was locked. Sentence 2: The man climbed in through the window.\nOutput: The door was locked." } }, "15": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The meat spoiled. Sentence 2: The power was out for days.\nOutput: The power was out for days.\n\nInput: Sentence 1: The woman who was walking on the street opened her umbrella. Sentence 2: It started raining.\nOutput: It started raining.\n\nInput: Sentence 1: Jill won the lawsuit against Acme. Sentence 2: Acme paid Jill's legal fees.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The company's posted strong earnings. Sentence 2: The company's stock went up.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: The man went to jail. Sentence 2: The man robbed a gas station.\nOutput: The man robbed a gas station.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The meat spoiled. Sentence 2: The power was out for days.\nOutput: The power was out for days.\n\nInput: Sentence 1: The woman who was walking on the street opened her umbrella. Sentence 2: It started raining.\nOutput: It started raining.\n\nInput: Sentence 1: Jill won the lawsuit against Acme. Sentence 2: Acme paid Jill's legal fees.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The company's posted strong earnings. Sentence 2: The company's stock went up.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: The man went to jail. Sentence 2: The man robbed a gas station.\nOutput: The man robbed a gas station." } }, "16": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The performer ran off the stage. Sentence 2: There was a wardrobe malfunction.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: The family went to the beach. Sentence 2: The air conditioner broke.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: Jimmy took the last piece of cake. Sentence 2: Mom rinsed the tray.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open.\n\nInput: Sentence 1: George plugged the laptop charger in. Sentence 2: The laptop ran out of battery.\nOutput: The laptop ran out of battery.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The performer ran off the stage. Sentence 2: There was a wardrobe malfunction.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: The family went to the beach. Sentence 2: The air conditioner broke.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: Jimmy took the last piece of cake. Sentence 2: Mom rinsed the tray.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open.\n\nInput: Sentence 1: George plugged the laptop charger in. Sentence 2: The laptop ran out of battery.\nOutput: The laptop ran out of battery." } }, "17": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: It started raining. Sentence 2: The woman who was walking on the street opened her umbrella.\nOutput: It started raining.\n\nInput: Sentence 1: The man climbed in through the window. Sentence 2: The door was locked.\nOutput: The door was locked.\n\nInput: Sentence 1: A watermelon exploded. Sentence 2: A man was covered in sticky red goo.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The dog bit me. Sentence 2: I pulled the dog's tail.\nOutput: I pulled the dog's tail.\n\nInput: Sentence 1: The gardener planted a seed. Sentence 2: A flower grew.\nOutput: The gardener planted a seed.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: It started raining. Sentence 2: The woman who was walking on the street opened her umbrella.\nOutput: It started raining.\n\nInput: Sentence 1: The man climbed in through the window. Sentence 2: The door was locked.\nOutput: The door was locked.\n\nInput: Sentence 1: A watermelon exploded. Sentence 2: A man was covered in sticky red goo.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The dog bit me. Sentence 2: I pulled the dog's tail.\nOutput: I pulled the dog's tail.\n\nInput: Sentence 1: The gardener planted a seed. Sentence 2: A flower grew.\nOutput: The gardener planted a seed." } }, "18": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The woman who was walking on the street opened her umbrella. Sentence 2: It started raining.\nOutput: It started raining.\n\nInput: Sentence 1: A man was covered in sticky red goo. Sentence 2: A watermelon exploded.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The man sued. Sentence 2: The floor was wet.\nOutput: The floor was wet.\n\nInput: Sentence 1: The gardener planted a seed. Sentence 2: A flower grew.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: Light filled the room. Sentence 2: I flipped the switch.\nOutput: I flipped the switch.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The woman who was walking on the street opened her umbrella. Sentence 2: It started raining.\nOutput: It started raining.\n\nInput: Sentence 1: A man was covered in sticky red goo. Sentence 2: A watermelon exploded.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The man sued. Sentence 2: The floor was wet.\nOutput: The floor was wet.\n\nInput: Sentence 1: The gardener planted a seed. Sentence 2: A flower grew.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: Light filled the room. Sentence 2: I flipped the switch.\nOutput: I flipped the switch." } }, "19": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nInput: Sentence 1: A watermelon exploded. Sentence 2: A man was covered in sticky red goo.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The floor was wet. Sentence 2: The man sued.\nOutput: The floor was wet.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: The performer ran off the stage. Sentence 2: There was a wardrobe malfunction.\nOutput: There was a wardrobe malfunction.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nInput: Sentence 1: A watermelon exploded. Sentence 2: A man was covered in sticky red goo.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The floor was wet. Sentence 2: The man sued.\nOutput: The floor was wet.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: The performer ran off the stage. Sentence 2: There was a wardrobe malfunction.\nOutput: There was a wardrobe malfunction." } }, "20": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Sunlight filled the room. Sentence 2: The curtains were opened.\nOutput: The curtains were opened.\n\nInput: Sentence 1: I pulled the dog's tail. Sentence 2: The dog bit me.\nOutput: I pulled the dog's tail.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: A bird hit the engine. Sentence 2: The pilot turned on the \"fasten seatbelts\" light.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Sunlight filled the room. Sentence 2: The curtains were opened.\nOutput: The curtains were opened.\n\nInput: Sentence 1: I pulled the dog's tail. Sentence 2: The dog bit me.\nOutput: I pulled the dog's tail.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: A bird hit the engine. Sentence 2: The pilot turned on the \"fasten seatbelts\" light.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open." } }, "21": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The performer ran off the stage. Sentence 2: There was a wardrobe malfunction.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: A watermelon exploded. Sentence 2: A man was covered in sticky red goo.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: George plugged the laptop charger in. Sentence 2: The laptop ran out of battery.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nInput: Sentence 1: The milk was left outside the fridge over night. Sentence 2: The man sipped the milk and spit it out.\nOutput: The milk was left outside the fridge over night.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The performer ran off the stage. Sentence 2: There was a wardrobe malfunction.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: A watermelon exploded. Sentence 2: A man was covered in sticky red goo.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: George plugged the laptop charger in. Sentence 2: The laptop ran out of battery.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nInput: Sentence 1: The milk was left outside the fridge over night. Sentence 2: The man sipped the milk and spit it out.\nOutput: The milk was left outside the fridge over night." } }, "22": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The family went to the beach. Sentence 2: The air conditioner broke.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The man couldn't hear what the woman was saying. Sentence 2: The man turned down the music volume.\nOutput: The man couldn't hear what the woman was saying.\n\nInput: Sentence 1: George plugged the laptop charger in. Sentence 2: The laptop ran out of battery.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: The man robbed a gas station. Sentence 2: The man went to jail.\nOutput: The man robbed a gas station.\n\nInput: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The family went to the beach. Sentence 2: The air conditioner broke.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The man couldn't hear what the woman was saying. Sentence 2: The man turned down the music volume.\nOutput: The man couldn't hear what the woman was saying.\n\nInput: Sentence 1: George plugged the laptop charger in. Sentence 2: The laptop ran out of battery.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: The man robbed a gas station. Sentence 2: The man went to jail.\nOutput: The man robbed a gas station.\n\nInput: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers." } }, "23": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The company's stock went up. Sentence 2: The company's posted strong earnings.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: The man turned down the music volume. Sentence 2: The man couldn't hear what the woman was saying.\nOutput: The man couldn't hear what the woman was saying.\n\nInput: Sentence 1: The ship capsized. Sentence 2: The wind blew strong.\nOutput: The wind blew strong.\n\nInput: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nInput: Sentence 1: The man robbed a gas station. Sentence 2: The man went to jail.\nOutput: The man robbed a gas station.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The company's stock went up. Sentence 2: The company's posted strong earnings.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: The man turned down the music volume. Sentence 2: The man couldn't hear what the woman was saying.\nOutput: The man couldn't hear what the woman was saying.\n\nInput: Sentence 1: The ship capsized. Sentence 2: The wind blew strong.\nOutput: The wind blew strong.\n\nInput: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nInput: Sentence 1: The man robbed a gas station. Sentence 2: The man went to jail.\nOutput: The man robbed a gas station." } }, "24": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The pilot turned on the \"fasten seatbelts\" light. Sentence 2: A bird hit the engine.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: My friend got a promotion. Sentence 2: My friend celebrated with their family.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: The girl skipped school. Sentence 2: The girl got detention.\nOutput: The girl skipped school.\n\nInput: Sentence 1: Mom rinsed the tray. Sentence 2: Jimmy took the last piece of cake.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: The air conditioner broke. Sentence 2: The family went to the beach.\nOutput: The air conditioner broke.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The pilot turned on the \"fasten seatbelts\" light. Sentence 2: A bird hit the engine.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: My friend got a promotion. Sentence 2: My friend celebrated with their family.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: The girl skipped school. Sentence 2: The girl got detention.\nOutput: The girl skipped school.\n\nInput: Sentence 1: Mom rinsed the tray. Sentence 2: Jimmy took the last piece of cake.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: The air conditioner broke. Sentence 2: The family went to the beach.\nOutput: The air conditioner broke." } }, "25": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The bottle was left open. Sentence 2: The soda went flat.\nOutput: The bottle was left open.\n\nInput: Sentence 1: Jill won the lawsuit against Acme. Sentence 2: Acme paid Jill's legal fees.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: George plugged the laptop charger in. Sentence 2: The laptop ran out of battery.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: Ted had a hangover. Sentence 2: Ted went out drinking.\nOutput: Ted went out drinking.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The bottle was left open. Sentence 2: The soda went flat.\nOutput: The bottle was left open.\n\nInput: Sentence 1: Jill won the lawsuit against Acme. Sentence 2: Acme paid Jill's legal fees.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: George plugged the laptop charger in. Sentence 2: The laptop ran out of battery.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: Ted had a hangover. Sentence 2: Ted went out drinking.\nOutput: Ted went out drinking." } }, "26": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A flower grew. Sentence 2: The gardener planted a seed.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: Sunlight filled the room. Sentence 2: The curtains were opened.\nOutput: The curtains were opened.\n\nInput: Sentence 1: A watermelon exploded. Sentence 2: A man was covered in sticky red goo.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: I flipped the switch. Sentence 2: Light filled the room.\nOutput: I flipped the switch.\n\nInput: Sentence 1: Jimmy took the last piece of cake. Sentence 2: Mom rinsed the tray.\nOutput: Jimmy took the last piece of cake.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A flower grew. Sentence 2: The gardener planted a seed.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: Sunlight filled the room. Sentence 2: The curtains were opened.\nOutput: The curtains were opened.\n\nInput: Sentence 1: A watermelon exploded. Sentence 2: A man was covered in sticky red goo.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: I flipped the switch. Sentence 2: Light filled the room.\nOutput: I flipped the switch.\n\nInput: Sentence 1: Jimmy took the last piece of cake. Sentence 2: Mom rinsed the tray.\nOutput: Jimmy took the last piece of cake." } }, "27": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The company's posted strong earnings. Sentence 2: The company's stock went up.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: Ted had a hangover. Sentence 2: Ted went out drinking.\nOutput: Ted went out drinking.\n\nInput: Sentence 1: A watermelon exploded. Sentence 2: A man was covered in sticky red goo.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: Light filled the room. Sentence 2: I flipped the switch.\nOutput: I flipped the switch.\n\nInput: Sentence 1: The floor was wet. Sentence 2: The man sued.\nOutput: The floor was wet.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The company's posted strong earnings. Sentence 2: The company's stock went up.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: Ted had a hangover. Sentence 2: Ted went out drinking.\nOutput: Ted went out drinking.\n\nInput: Sentence 1: A watermelon exploded. Sentence 2: A man was covered in sticky red goo.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: Light filled the room. Sentence 2: I flipped the switch.\nOutput: I flipped the switch.\n\nInput: Sentence 1: The floor was wet. Sentence 2: The man sued.\nOutput: The floor was wet." } }, "28": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The man robbed a gas station. Sentence 2: The man went to jail.\nOutput: The man robbed a gas station.\n\nInput: Sentence 1: The gardener planted a seed. Sentence 2: A flower grew.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: The family went to the beach. Sentence 2: The air conditioner broke.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The man couldn't hear what the woman was saying. Sentence 2: The man turned down the music volume.\nOutput: The man couldn't hear what the woman was saying.\n\nInput: Sentence 1: Mom rinsed the tray. Sentence 2: Jimmy took the last piece of cake.\nOutput: Jimmy took the last piece of cake.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The man robbed a gas station. Sentence 2: The man went to jail.\nOutput: The man robbed a gas station.\n\nInput: Sentence 1: The gardener planted a seed. Sentence 2: A flower grew.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: The family went to the beach. Sentence 2: The air conditioner broke.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The man couldn't hear what the woman was saying. Sentence 2: The man turned down the music volume.\nOutput: The man couldn't hear what the woman was saying.\n\nInput: Sentence 1: Mom rinsed the tray. Sentence 2: Jimmy took the last piece of cake.\nOutput: Jimmy took the last piece of cake." } }, "29": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Ted had a hangover. Sentence 2: Ted went out drinking.\nOutput: Ted went out drinking.\n\nInput: Sentence 1: The dinosaurs became extinct. Sentence 2: A large object hit the Earth.\nOutput: A large object hit the Earth.\n\nInput: Sentence 1: Acme paid Jill's legal fees. Sentence 2: Jill won the lawsuit against Acme.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The man went to jail. Sentence 2: The man robbed a gas station.\nOutput: The man robbed a gas station.\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Ted had a hangover. Sentence 2: Ted went out drinking.\nOutput: Ted went out drinking.\n\nInput: Sentence 1: The dinosaurs became extinct. Sentence 2: A large object hit the Earth.\nOutput: A large object hit the Earth.\n\nInput: Sentence 1: Acme paid Jill's legal fees. Sentence 2: Jill won the lawsuit against Acme.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The man went to jail. Sentence 2: The man robbed a gas station.\nOutput: The man robbed a gas station.\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion." } }, "30": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The performer ran off the stage. Sentence 2: There was a wardrobe malfunction.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: A bird hit the engine. Sentence 2: The pilot turned on the \"fasten seatbelts\" light.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: Tomatoes grew on the vine. Sentence 2: The insect pollinated the tomato flowers.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: The bottle was left open. Sentence 2: The soda went flat.\nOutput: The bottle was left open.\n\nInput: Sentence 1: The girl got detention. Sentence 2: The girl skipped school.\nOutput: The girl skipped school.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The performer ran off the stage. Sentence 2: There was a wardrobe malfunction.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: A bird hit the engine. Sentence 2: The pilot turned on the \"fasten seatbelts\" light.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: Tomatoes grew on the vine. Sentence 2: The insect pollinated the tomato flowers.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: The bottle was left open. Sentence 2: The soda went flat.\nOutput: The bottle was left open.\n\nInput: Sentence 1: The girl got detention. Sentence 2: The girl skipped school.\nOutput: The girl skipped school." } }, "31": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: Acme paid Jill's legal fees. Sentence 2: Jill won the lawsuit against Acme.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The company's stock went up. Sentence 2: The company's posted strong earnings.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: Jimmy took the last piece of cake. Sentence 2: Mom rinsed the tray.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: George plugged the laptop charger in. Sentence 2: The laptop ran out of battery.\nOutput: The laptop ran out of battery.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: Acme paid Jill's legal fees. Sentence 2: Jill won the lawsuit against Acme.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The company's stock went up. Sentence 2: The company's posted strong earnings.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: Jimmy took the last piece of cake. Sentence 2: Mom rinsed the tray.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: George plugged the laptop charger in. Sentence 2: The laptop ran out of battery.\nOutput: The laptop ran out of battery." } }, "32": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The company's posted strong earnings. Sentence 2: The company's stock went up.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: The door was locked. Sentence 2: The man climbed in through the window.\nOutput: The door was locked.\n\nInput: Sentence 1: It started raining. Sentence 2: The woman who was walking on the street opened her umbrella.\nOutput: It started raining.\n\nInput: Sentence 1: The bottle was left open. Sentence 2: The soda went flat.\nOutput: The bottle was left open.\n\nInput: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The company's posted strong earnings. Sentence 2: The company's stock went up.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: The door was locked. Sentence 2: The man climbed in through the window.\nOutput: The door was locked.\n\nInput: Sentence 1: It started raining. Sentence 2: The woman who was walking on the street opened her umbrella.\nOutput: It started raining.\n\nInput: Sentence 1: The bottle was left open. Sentence 2: The soda went flat.\nOutput: The bottle was left open.\n\nInput: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days." } }, "33": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The family went to the beach. Sentence 2: The air conditioner broke.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: The meat spoiled. Sentence 2: The power was out for days.\nOutput: The power was out for days.\n\nInput: Sentence 1: I flipped the switch. Sentence 2: Light filled the room.\nOutput: I flipped the switch.\n\nInput: Sentence 1: A large object hit the Earth. Sentence 2: The dinosaurs became extinct.\nOutput: A large object hit the Earth.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The family went to the beach. Sentence 2: The air conditioner broke.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: The meat spoiled. Sentence 2: The power was out for days.\nOutput: The power was out for days.\n\nInput: Sentence 1: I flipped the switch. Sentence 2: Light filled the room.\nOutput: I flipped the switch.\n\nInput: Sentence 1: A large object hit the Earth. Sentence 2: The dinosaurs became extinct.\nOutput: A large object hit the Earth." } }, "34": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The family went to the beach. Sentence 2: The air conditioner broke.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: The bottle was left open. Sentence 2: The soda went flat.\nOutput: The bottle was left open.\n\nInput: Sentence 1: The pilot turned on the \"fasten seatbelts\" light. Sentence 2: A bird hit the engine.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The family went to the beach. Sentence 2: The air conditioner broke.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: The bottle was left open. Sentence 2: The soda went flat.\nOutput: The bottle was left open.\n\nInput: Sentence 1: The pilot turned on the \"fasten seatbelts\" light. Sentence 2: A bird hit the engine.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night." } }, "35": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The company's posted strong earnings. Sentence 2: The company's stock went up.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: A flower grew. Sentence 2: The gardener planted a seed.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: The girl got detention. Sentence 2: The girl skipped school.\nOutput: The girl skipped school.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The company's posted strong earnings. Sentence 2: The company's stock went up.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: A flower grew. Sentence 2: The gardener planted a seed.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: The girl got detention. Sentence 2: The girl skipped school.\nOutput: The girl skipped school." } }, "36": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: I flipped the switch. Sentence 2: Light filled the room.\nOutput: I flipped the switch.\n\nInput: Sentence 1: The man went to jail. Sentence 2: The man robbed a gas station.\nOutput: The man robbed a gas station.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: Jill won the lawsuit against Acme. Sentence 2: Acme paid Jill's legal fees.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The gardener planted a seed. Sentence 2: A flower grew.\nOutput: The gardener planted a seed.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: I flipped the switch. Sentence 2: Light filled the room.\nOutput: I flipped the switch.\n\nInput: Sentence 1: The man went to jail. Sentence 2: The man robbed a gas station.\nOutput: The man robbed a gas station.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: Jill won the lawsuit against Acme. Sentence 2: Acme paid Jill's legal fees.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The gardener planted a seed. Sentence 2: A flower grew.\nOutput: The gardener planted a seed." } }, "37": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The door was locked. Sentence 2: The man climbed in through the window.\nOutput: The door was locked.\n\nInput: Sentence 1: The family went to the beach. Sentence 2: The air conditioner broke.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The woman who was walking on the street opened her umbrella. Sentence 2: It started raining.\nOutput: It started raining.\n\nInput: Sentence 1: The girl got detention. Sentence 2: The girl skipped school.\nOutput: The girl skipped school.\n\nInput: Sentence 1: The company's posted strong earnings. Sentence 2: The company's stock went up.\nOutput: The company's posted strong earnings.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The door was locked. Sentence 2: The man climbed in through the window.\nOutput: The door was locked.\n\nInput: Sentence 1: The family went to the beach. Sentence 2: The air conditioner broke.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The woman who was walking on the street opened her umbrella. Sentence 2: It started raining.\nOutput: It started raining.\n\nInput: Sentence 1: The girl got detention. Sentence 2: The girl skipped school.\nOutput: The girl skipped school.\n\nInput: Sentence 1: The company's posted strong earnings. Sentence 2: The company's stock went up.\nOutput: The company's posted strong earnings." } }, "38": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A watermelon exploded. Sentence 2: A man was covered in sticky red goo.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The woman who was walking on the street opened her umbrella. Sentence 2: It started raining.\nOutput: It started raining.\n\nInput: Sentence 1: A flower grew. Sentence 2: The gardener planted a seed.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: The girl skipped school. Sentence 2: The girl got detention.\nOutput: The girl skipped school.\n\nInput: Sentence 1: The man turned down the music volume. Sentence 2: The man couldn't hear what the woman was saying.\nOutput: The man couldn't hear what the woman was saying.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A watermelon exploded. Sentence 2: A man was covered in sticky red goo.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The woman who was walking on the street opened her umbrella. Sentence 2: It started raining.\nOutput: It started raining.\n\nInput: Sentence 1: A flower grew. Sentence 2: The gardener planted a seed.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: The girl skipped school. Sentence 2: The girl got detention.\nOutput: The girl skipped school.\n\nInput: Sentence 1: The man turned down the music volume. Sentence 2: The man couldn't hear what the woman was saying.\nOutput: The man couldn't hear what the woman was saying." } }, "39": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The wind blew strong. Sentence 2: The ship capsized.\nOutput: The wind blew strong.\n\nInput: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: Ted had a hangover. Sentence 2: Ted went out drinking.\nOutput: Ted went out drinking.\n\nInput: Sentence 1: The family went to the beach. Sentence 2: The air conditioner broke.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The company's posted strong earnings. Sentence 2: The company's stock went up.\nOutput: The company's posted strong earnings.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The wind blew strong. Sentence 2: The ship capsized.\nOutput: The wind blew strong.\n\nInput: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: Ted had a hangover. Sentence 2: Ted went out drinking.\nOutput: Ted went out drinking.\n\nInput: Sentence 1: The family went to the beach. Sentence 2: The air conditioner broke.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The company's posted strong earnings. Sentence 2: The company's stock went up.\nOutput: The company's posted strong earnings." } }, "40": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The man went to jail. Sentence 2: The man robbed a gas station.\nOutput: The man robbed a gas station.\n\nInput: Sentence 1: The man climbed in through the window. Sentence 2: The door was locked.\nOutput: The door was locked.\n\nInput: Sentence 1: The company's stock went up. Sentence 2: The company's posted strong earnings.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nInput: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The man went to jail. Sentence 2: The man robbed a gas station.\nOutput: The man robbed a gas station.\n\nInput: Sentence 1: The man climbed in through the window. Sentence 2: The door was locked.\nOutput: The door was locked.\n\nInput: Sentence 1: The company's stock went up. Sentence 2: The company's posted strong earnings.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nInput: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open." } }, "41": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Light filled the room. Sentence 2: I flipped the switch.\nOutput: I flipped the switch.\n\nInput: Sentence 1: The man climbed in through the window. Sentence 2: The door was locked.\nOutput: The door was locked.\n\nInput: Sentence 1: Ted went out drinking. Sentence 2: Ted had a hangover.\nOutput: Ted went out drinking.\n\nInput: Sentence 1: The air conditioner broke. Sentence 2: The family went to the beach.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The girl got detention. Sentence 2: The girl skipped school.\nOutput: The girl skipped school.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Light filled the room. Sentence 2: I flipped the switch.\nOutput: I flipped the switch.\n\nInput: Sentence 1: The man climbed in through the window. Sentence 2: The door was locked.\nOutput: The door was locked.\n\nInput: Sentence 1: Ted went out drinking. Sentence 2: Ted had a hangover.\nOutput: Ted went out drinking.\n\nInput: Sentence 1: The air conditioner broke. Sentence 2: The family went to the beach.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The girl got detention. Sentence 2: The girl skipped school.\nOutput: The girl skipped school." } }, "42": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The curtains were opened. Sentence 2: Sunlight filled the room.\nOutput: The curtains were opened.\n\nInput: Sentence 1: A man was covered in sticky red goo. Sentence 2: A watermelon exploded.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The girl skipped school. Sentence 2: The girl got detention.\nOutput: The girl skipped school.\n\nInput: Sentence 1: Tomatoes grew on the vine. Sentence 2: The insect pollinated the tomato flowers.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: The man turned down the music volume. Sentence 2: The man couldn't hear what the woman was saying.\nOutput: The man couldn't hear what the woman was saying.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The curtains were opened. Sentence 2: Sunlight filled the room.\nOutput: The curtains were opened.\n\nInput: Sentence 1: A man was covered in sticky red goo. Sentence 2: A watermelon exploded.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The girl skipped school. Sentence 2: The girl got detention.\nOutput: The girl skipped school.\n\nInput: Sentence 1: Tomatoes grew on the vine. Sentence 2: The insect pollinated the tomato flowers.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: The man turned down the music volume. Sentence 2: The man couldn't hear what the woman was saying.\nOutput: The man couldn't hear what the woman was saying." } }, "43": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The girl skipped school. Sentence 2: The girl got detention.\nOutput: The girl skipped school.\n\nInput: Sentence 1: The company's stock went up. Sentence 2: The company's posted strong earnings.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: Acme paid Jill's legal fees. Sentence 2: Jill won the lawsuit against Acme.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The man couldn't hear what the woman was saying. Sentence 2: The man turned down the music volume.\nOutput: The man couldn't hear what the woman was saying.\n\nInput: Sentence 1: The performer ran off the stage. Sentence 2: There was a wardrobe malfunction.\nOutput: There was a wardrobe malfunction.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The girl skipped school. Sentence 2: The girl got detention.\nOutput: The girl skipped school.\n\nInput: Sentence 1: The company's stock went up. Sentence 2: The company's posted strong earnings.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: Acme paid Jill's legal fees. Sentence 2: Jill won the lawsuit against Acme.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The man couldn't hear what the woman was saying. Sentence 2: The man turned down the music volume.\nOutput: The man couldn't hear what the woman was saying.\n\nInput: Sentence 1: The performer ran off the stage. Sentence 2: There was a wardrobe malfunction.\nOutput: There was a wardrobe malfunction." } }, "44": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The air conditioner broke. Sentence 2: The family went to the beach.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The man climbed in through the window. Sentence 2: The door was locked.\nOutput: The door was locked.\n\nInput: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: The wind blew strong. Sentence 2: The ship capsized.\nOutput: The wind blew strong.\n\nInput: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The air conditioner broke. Sentence 2: The family went to the beach.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The man climbed in through the window. Sentence 2: The door was locked.\nOutput: The door was locked.\n\nInput: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: The wind blew strong. Sentence 2: The ship capsized.\nOutput: The wind blew strong.\n\nInput: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open." } }, "45": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The door was locked. Sentence 2: The man climbed in through the window.\nOutput: The door was locked.\n\nInput: Sentence 1: The girl got detention. Sentence 2: The girl skipped school.\nOutput: The girl skipped school.\n\nInput: Sentence 1: There was a wardrobe malfunction. Sentence 2: The performer ran off the stage.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: Light filled the room. Sentence 2: I flipped the switch.\nOutput: I flipped the switch.\n\nInput: Sentence 1: Mom rinsed the tray. Sentence 2: Jimmy took the last piece of cake.\nOutput: Jimmy took the last piece of cake.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The door was locked. Sentence 2: The man climbed in through the window.\nOutput: The door was locked.\n\nInput: Sentence 1: The girl got detention. Sentence 2: The girl skipped school.\nOutput: The girl skipped school.\n\nInput: Sentence 1: There was a wardrobe malfunction. Sentence 2: The performer ran off the stage.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: Light filled the room. Sentence 2: I flipped the switch.\nOutput: I flipped the switch.\n\nInput: Sentence 1: Mom rinsed the tray. Sentence 2: Jimmy took the last piece of cake.\nOutput: Jimmy took the last piece of cake." } }, "46": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: I pulled the dog's tail. Sentence 2: The dog bit me.\nOutput: I pulled the dog's tail.\n\nInput: Sentence 1: Acme paid Jill's legal fees. Sentence 2: Jill won the lawsuit against Acme.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: Mom rinsed the tray. Sentence 2: Jimmy took the last piece of cake.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: A man was covered in sticky red goo. Sentence 2: A watermelon exploded.\nOutput: A watermelon exploded.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: I pulled the dog's tail. Sentence 2: The dog bit me.\nOutput: I pulled the dog's tail.\n\nInput: Sentence 1: Acme paid Jill's legal fees. Sentence 2: Jill won the lawsuit against Acme.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: Mom rinsed the tray. Sentence 2: Jimmy took the last piece of cake.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: A man was covered in sticky red goo. Sentence 2: A watermelon exploded.\nOutput: A watermelon exploded." } }, "47": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The man turned down the music volume. Sentence 2: The man couldn't hear what the woman was saying.\nOutput: The man couldn't hear what the woman was saying.\n\nInput: Sentence 1: I pulled the dog's tail. Sentence 2: The dog bit me.\nOutput: I pulled the dog's tail.\n\nInput: Sentence 1: A man was covered in sticky red goo. Sentence 2: A watermelon exploded.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nInput: Sentence 1: The company's posted strong earnings. Sentence 2: The company's stock went up.\nOutput: The company's posted strong earnings.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The man turned down the music volume. Sentence 2: The man couldn't hear what the woman was saying.\nOutput: The man couldn't hear what the woman was saying.\n\nInput: Sentence 1: I pulled the dog's tail. Sentence 2: The dog bit me.\nOutput: I pulled the dog's tail.\n\nInput: Sentence 1: A man was covered in sticky red goo. Sentence 2: A watermelon exploded.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nInput: Sentence 1: The company's posted strong earnings. Sentence 2: The company's stock went up.\nOutput: The company's posted strong earnings." } }, "48": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nInput: Sentence 1: Tomatoes grew on the vine. Sentence 2: The insect pollinated the tomato flowers.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: A watermelon exploded. Sentence 2: A man was covered in sticky red goo.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: Ted went out drinking. Sentence 2: Ted had a hangover.\nOutput: Ted went out drinking.\n\nInput: Sentence 1: I pulled the dog's tail. Sentence 2: The dog bit me.\nOutput: I pulled the dog's tail.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nInput: Sentence 1: Tomatoes grew on the vine. Sentence 2: The insect pollinated the tomato flowers.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: A watermelon exploded. Sentence 2: A man was covered in sticky red goo.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: Ted went out drinking. Sentence 2: Ted had a hangover.\nOutput: Ted went out drinking.\n\nInput: Sentence 1: I pulled the dog's tail. Sentence 2: The dog bit me.\nOutput: I pulled the dog's tail." } }, "49": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: There was a wardrobe malfunction. Sentence 2: The performer ran off the stage.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: The man couldn't hear what the woman was saying. Sentence 2: The man turned down the music volume.\nOutput: The man couldn't hear what the woman was saying.\n\nInput: Sentence 1: Jill won the lawsuit against Acme. Sentence 2: Acme paid Jill's legal fees.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: A bird hit the engine. Sentence 2: The pilot turned on the \"fasten seatbelts\" light.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: The curtains were opened. Sentence 2: Sunlight filled the room.\nOutput: The curtains were opened.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: There was a wardrobe malfunction. Sentence 2: The performer ran off the stage.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: The man couldn't hear what the woman was saying. Sentence 2: The man turned down the music volume.\nOutput: The man couldn't hear what the woman was saying.\n\nInput: Sentence 1: Jill won the lawsuit against Acme. Sentence 2: Acme paid Jill's legal fees.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: A bird hit the engine. Sentence 2: The pilot turned on the \"fasten seatbelts\" light.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: The curtains were opened. Sentence 2: Sunlight filled the room.\nOutput: The curtains were opened." } }, "50": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Acme paid Jill's legal fees. Sentence 2: Jill won the lawsuit against Acme.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The curtains were opened. Sentence 2: Sunlight filled the room.\nOutput: The curtains were opened.\n\nInput: Sentence 1: Jimmy took the last piece of cake. Sentence 2: Mom rinsed the tray.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nInput: Sentence 1: The performer ran off the stage. Sentence 2: There was a wardrobe malfunction.\nOutput: There was a wardrobe malfunction.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Acme paid Jill's legal fees. Sentence 2: Jill won the lawsuit against Acme.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The curtains were opened. Sentence 2: Sunlight filled the room.\nOutput: The curtains were opened.\n\nInput: Sentence 1: Jimmy took the last piece of cake. Sentence 2: Mom rinsed the tray.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nInput: Sentence 1: The performer ran off the stage. Sentence 2: There was a wardrobe malfunction.\nOutput: There was a wardrobe malfunction." } }, "51": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The man sued. Sentence 2: The floor was wet.\nOutput: The floor was wet.\n\nInput: Sentence 1: The dog bit me. Sentence 2: I pulled the dog's tail.\nOutput: I pulled the dog's tail.\n\nInput: Sentence 1: Sunlight filled the room. Sentence 2: The curtains were opened.\nOutput: The curtains were opened.\n\nInput: Sentence 1: A flower grew. Sentence 2: The gardener planted a seed.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: Jimmy took the last piece of cake. Sentence 2: Mom rinsed the tray.\nOutput: Jimmy took the last piece of cake.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The man sued. Sentence 2: The floor was wet.\nOutput: The floor was wet.\n\nInput: Sentence 1: The dog bit me. Sentence 2: I pulled the dog's tail.\nOutput: I pulled the dog's tail.\n\nInput: Sentence 1: Sunlight filled the room. Sentence 2: The curtains were opened.\nOutput: The curtains were opened.\n\nInput: Sentence 1: A flower grew. Sentence 2: The gardener planted a seed.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: Jimmy took the last piece of cake. Sentence 2: Mom rinsed the tray.\nOutput: Jimmy took the last piece of cake." } }, "52": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: I flipped the switch. Sentence 2: Light filled the room.\nOutput: I flipped the switch.\n\nInput: Sentence 1: A bird hit the engine. Sentence 2: The pilot turned on the \"fasten seatbelts\" light.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: Mom rinsed the tray. Sentence 2: Jimmy took the last piece of cake.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: Acme paid Jill's legal fees. Sentence 2: Jill won the lawsuit against Acme.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The girl skipped school. Sentence 2: The girl got detention.\nOutput: The girl skipped school.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: I flipped the switch. Sentence 2: Light filled the room.\nOutput: I flipped the switch.\n\nInput: Sentence 1: A bird hit the engine. Sentence 2: The pilot turned on the \"fasten seatbelts\" light.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: Mom rinsed the tray. Sentence 2: Jimmy took the last piece of cake.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: Acme paid Jill's legal fees. Sentence 2: Jill won the lawsuit against Acme.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The girl skipped school. Sentence 2: The girl got detention.\nOutput: The girl skipped school." } }, "53": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The curtains were opened. Sentence 2: Sunlight filled the room.\nOutput: The curtains were opened.\n\nInput: Sentence 1: The man sued. Sentence 2: The floor was wet.\nOutput: The floor was wet.\n\nInput: Sentence 1: There was a wardrobe malfunction. Sentence 2: The performer ran off the stage.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: It started raining. Sentence 2: The woman who was walking on the street opened her umbrella.\nOutput: It started raining.\n\nInput: Sentence 1: George plugged the laptop charger in. Sentence 2: The laptop ran out of battery.\nOutput: The laptop ran out of battery.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The curtains were opened. Sentence 2: Sunlight filled the room.\nOutput: The curtains were opened.\n\nInput: Sentence 1: The man sued. Sentence 2: The floor was wet.\nOutput: The floor was wet.\n\nInput: Sentence 1: There was a wardrobe malfunction. Sentence 2: The performer ran off the stage.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: It started raining. Sentence 2: The woman who was walking on the street opened her umbrella.\nOutput: It started raining.\n\nInput: Sentence 1: George plugged the laptop charger in. Sentence 2: The laptop ran out of battery.\nOutput: The laptop ran out of battery." } }, "54": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The ship capsized. Sentence 2: The wind blew strong.\nOutput: The wind blew strong.\n\nInput: Sentence 1: The man went to jail. Sentence 2: The man robbed a gas station.\nOutput: The man robbed a gas station.\n\nInput: Sentence 1: The man turned down the music volume. Sentence 2: The man couldn't hear what the woman was saying.\nOutput: The man couldn't hear what the woman was saying.\n\nInput: Sentence 1: The door was locked. Sentence 2: The man climbed in through the window.\nOutput: The door was locked.\n\nInput: Sentence 1: The dinosaurs became extinct. Sentence 2: A large object hit the Earth.\nOutput: A large object hit the Earth.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The ship capsized. Sentence 2: The wind blew strong.\nOutput: The wind blew strong.\n\nInput: Sentence 1: The man went to jail. Sentence 2: The man robbed a gas station.\nOutput: The man robbed a gas station.\n\nInput: Sentence 1: The man turned down the music volume. Sentence 2: The man couldn't hear what the woman was saying.\nOutput: The man couldn't hear what the woman was saying.\n\nInput: Sentence 1: The door was locked. Sentence 2: The man climbed in through the window.\nOutput: The door was locked.\n\nInput: Sentence 1: The dinosaurs became extinct. Sentence 2: A large object hit the Earth.\nOutput: A large object hit the Earth." } }, "55": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Jill won the lawsuit against Acme. Sentence 2: Acme paid Jill's legal fees.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: Ted had a hangover. Sentence 2: Ted went out drinking.\nOutput: Ted went out drinking.\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: The door was locked. Sentence 2: The man climbed in through the window.\nOutput: The door was locked.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Jill won the lawsuit against Acme. Sentence 2: Acme paid Jill's legal fees.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: Ted had a hangover. Sentence 2: Ted went out drinking.\nOutput: Ted went out drinking.\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: The door was locked. Sentence 2: The man climbed in through the window.\nOutput: The door was locked." } }, "56": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The dinosaurs became extinct. Sentence 2: A large object hit the Earth.\nOutput: A large object hit the Earth.\n\nInput: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: The girl got detention. Sentence 2: The girl skipped school.\nOutput: The girl skipped school.\n\nInput: Sentence 1: Jill won the lawsuit against Acme. Sentence 2: Acme paid Jill's legal fees.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The ship capsized. Sentence 2: The wind blew strong.\nOutput: The wind blew strong.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The dinosaurs became extinct. Sentence 2: A large object hit the Earth.\nOutput: A large object hit the Earth.\n\nInput: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: The girl got detention. Sentence 2: The girl skipped school.\nOutput: The girl skipped school.\n\nInput: Sentence 1: Jill won the lawsuit against Acme. Sentence 2: Acme paid Jill's legal fees.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The ship capsized. Sentence 2: The wind blew strong.\nOutput: The wind blew strong." } }, "57": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Mom rinsed the tray. Sentence 2: Jimmy took the last piece of cake.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: Light filled the room. Sentence 2: I flipped the switch.\nOutput: I flipped the switch.\n\nInput: Sentence 1: The man robbed a gas station. Sentence 2: The man went to jail.\nOutput: The man robbed a gas station.\n\nInput: Sentence 1: The gardener planted a seed. Sentence 2: A flower grew.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: The girl got detention. Sentence 2: The girl skipped school.\nOutput: The girl skipped school.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Mom rinsed the tray. Sentence 2: Jimmy took the last piece of cake.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: Light filled the room. Sentence 2: I flipped the switch.\nOutput: I flipped the switch.\n\nInput: Sentence 1: The man robbed a gas station. Sentence 2: The man went to jail.\nOutput: The man robbed a gas station.\n\nInput: Sentence 1: The gardener planted a seed. Sentence 2: A flower grew.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: The girl got detention. Sentence 2: The girl skipped school.\nOutput: The girl skipped school." } }, "58": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The company's posted strong earnings. Sentence 2: The company's stock went up.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: The dog bit me. Sentence 2: I pulled the dog's tail.\nOutput: I pulled the dog's tail.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: The performer ran off the stage. Sentence 2: There was a wardrobe malfunction.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: The man climbed in through the window. Sentence 2: The door was locked.\nOutput: The door was locked.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The company's posted strong earnings. Sentence 2: The company's stock went up.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: The dog bit me. Sentence 2: I pulled the dog's tail.\nOutput: I pulled the dog's tail.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: The performer ran off the stage. Sentence 2: There was a wardrobe malfunction.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: The man climbed in through the window. Sentence 2: The door was locked.\nOutput: The door was locked." } }, "59": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The air conditioner broke. Sentence 2: The family went to the beach.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: A bird hit the engine. Sentence 2: The pilot turned on the \"fasten seatbelts\" light.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: Acme paid Jill's legal fees. Sentence 2: Jill won the lawsuit against Acme.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The floor was wet. Sentence 2: The man sued.\nOutput: The floor was wet.\n\nInput: Sentence 1: The meat spoiled. Sentence 2: The power was out for days.\nOutput: The power was out for days.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The air conditioner broke. Sentence 2: The family went to the beach.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: A bird hit the engine. Sentence 2: The pilot turned on the \"fasten seatbelts\" light.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: Acme paid Jill's legal fees. Sentence 2: Jill won the lawsuit against Acme.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The floor was wet. Sentence 2: The man sued.\nOutput: The floor was wet.\n\nInput: Sentence 1: The meat spoiled. Sentence 2: The power was out for days.\nOutput: The power was out for days." } }, "60": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: The wind blew strong. Sentence 2: The ship capsized.\nOutput: The wind blew strong.\n\nInput: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open.\n\nInput: Sentence 1: The gardener planted a seed. Sentence 2: A flower grew.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: The man robbed a gas station. Sentence 2: The man went to jail.\nOutput: The man robbed a gas station.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: The wind blew strong. Sentence 2: The ship capsized.\nOutput: The wind blew strong.\n\nInput: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open.\n\nInput: Sentence 1: The gardener planted a seed. Sentence 2: A flower grew.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: The man robbed a gas station. Sentence 2: The man went to jail.\nOutput: The man robbed a gas station." } }, "61": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The girl skipped school. Sentence 2: The girl got detention.\nOutput: The girl skipped school.\n\nInput: Sentence 1: Ted went out drinking. Sentence 2: Ted had a hangover.\nOutput: Ted went out drinking.\n\nInput: Sentence 1: The curtains were opened. Sentence 2: Sunlight filled the room.\nOutput: The curtains were opened.\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: A watermelon exploded. Sentence 2: A man was covered in sticky red goo.\nOutput: A watermelon exploded.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The girl skipped school. Sentence 2: The girl got detention.\nOutput: The girl skipped school.\n\nInput: Sentence 1: Ted went out drinking. Sentence 2: Ted had a hangover.\nOutput: Ted went out drinking.\n\nInput: Sentence 1: The curtains were opened. Sentence 2: Sunlight filled the room.\nOutput: The curtains were opened.\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: A watermelon exploded. Sentence 2: A man was covered in sticky red goo.\nOutput: A watermelon exploded." } }, "62": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The woman who was walking on the street opened her umbrella. Sentence 2: It started raining.\nOutput: It started raining.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: Light filled the room. Sentence 2: I flipped the switch.\nOutput: I flipped the switch.\n\nInput: Sentence 1: Mom rinsed the tray. Sentence 2: Jimmy took the last piece of cake.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: The gardener planted a seed. Sentence 2: A flower grew.\nOutput: The gardener planted a seed.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The woman who was walking on the street opened her umbrella. Sentence 2: It started raining.\nOutput: It started raining.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: Light filled the room. Sentence 2: I flipped the switch.\nOutput: I flipped the switch.\n\nInput: Sentence 1: Mom rinsed the tray. Sentence 2: Jimmy took the last piece of cake.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: The gardener planted a seed. Sentence 2: A flower grew.\nOutput: The gardener planted a seed." } }, "63": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The man sued. Sentence 2: The floor was wet.\nOutput: The floor was wet.\n\nInput: Sentence 1: A watermelon exploded. Sentence 2: A man was covered in sticky red goo.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: A bird hit the engine. Sentence 2: The pilot turned on the \"fasten seatbelts\" light.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: The door was locked. Sentence 2: The man climbed in through the window.\nOutput: The door was locked.\n\nInput: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The man sued. Sentence 2: The floor was wet.\nOutput: The floor was wet.\n\nInput: Sentence 1: A watermelon exploded. Sentence 2: A man was covered in sticky red goo.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: A bird hit the engine. Sentence 2: The pilot turned on the \"fasten seatbelts\" light.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: The door was locked. Sentence 2: The man climbed in through the window.\nOutput: The door was locked.\n\nInput: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open." } }, "64": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Acme paid Jill's legal fees. Sentence 2: Jill won the lawsuit against Acme.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: The company's stock went up. Sentence 2: The company's posted strong earnings.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: A large object hit the Earth. Sentence 2: The dinosaurs became extinct.\nOutput: A large object hit the Earth.\n\nInput: Sentence 1: The girl got detention. Sentence 2: The girl skipped school.\nOutput: The girl skipped school.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Acme paid Jill's legal fees. Sentence 2: Jill won the lawsuit against Acme.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: The company's stock went up. Sentence 2: The company's posted strong earnings.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: A large object hit the Earth. Sentence 2: The dinosaurs became extinct.\nOutput: A large object hit the Earth.\n\nInput: Sentence 1: The girl got detention. Sentence 2: The girl skipped school.\nOutput: The girl skipped school." } }, "65": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The dinosaurs became extinct. Sentence 2: A large object hit the Earth.\nOutput: A large object hit the Earth.\n\nInput: Sentence 1: The woman who was walking on the street opened her umbrella. Sentence 2: It started raining.\nOutput: It started raining.\n\nInput: Sentence 1: The girl got detention. Sentence 2: The girl skipped school.\nOutput: The girl skipped school.\n\nInput: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: The man went to jail. Sentence 2: The man robbed a gas station.\nOutput: The man robbed a gas station.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The dinosaurs became extinct. Sentence 2: A large object hit the Earth.\nOutput: A large object hit the Earth.\n\nInput: Sentence 1: The woman who was walking on the street opened her umbrella. Sentence 2: It started raining.\nOutput: It started raining.\n\nInput: Sentence 1: The girl got detention. Sentence 2: The girl skipped school.\nOutput: The girl skipped school.\n\nInput: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: The man went to jail. Sentence 2: The man robbed a gas station.\nOutput: The man robbed a gas station." } }, "66": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: My friend got a promotion. Sentence 2: My friend celebrated with their family.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: Jimmy took the last piece of cake. Sentence 2: Mom rinsed the tray.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: The company's stock went up. Sentence 2: The company's posted strong earnings.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: The gardener planted a seed. Sentence 2: A flower grew.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: The pilot turned on the \"fasten seatbelts\" light. Sentence 2: A bird hit the engine.\nOutput: A bird hit the engine.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: My friend got a promotion. Sentence 2: My friend celebrated with their family.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: Jimmy took the last piece of cake. Sentence 2: Mom rinsed the tray.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: The company's stock went up. Sentence 2: The company's posted strong earnings.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: The gardener planted a seed. Sentence 2: A flower grew.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: The pilot turned on the \"fasten seatbelts\" light. Sentence 2: A bird hit the engine.\nOutput: A bird hit the engine." } }, "67": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The dinosaurs became extinct. Sentence 2: A large object hit the Earth.\nOutput: A large object hit the Earth.\n\nInput: Sentence 1: George plugged the laptop charger in. Sentence 2: The laptop ran out of battery.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: The family went to the beach. Sentence 2: The air conditioner broke.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The dinosaurs became extinct. Sentence 2: A large object hit the Earth.\nOutput: A large object hit the Earth.\n\nInput: Sentence 1: George plugged the laptop charger in. Sentence 2: The laptop ran out of battery.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: The family went to the beach. Sentence 2: The air conditioner broke.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days." } }, "68": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The floor was wet. Sentence 2: The man sued.\nOutput: The floor was wet.\n\nInput: Sentence 1: The ship capsized. Sentence 2: The wind blew strong.\nOutput: The wind blew strong.\n\nInput: Sentence 1: A large object hit the Earth. Sentence 2: The dinosaurs became extinct.\nOutput: A large object hit the Earth.\n\nInput: Sentence 1: The bottle was left open. Sentence 2: The soda went flat.\nOutput: The bottle was left open.\n\nInput: Sentence 1: Sunlight filled the room. Sentence 2: The curtains were opened.\nOutput: The curtains were opened.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The floor was wet. Sentence 2: The man sued.\nOutput: The floor was wet.\n\nInput: Sentence 1: The ship capsized. Sentence 2: The wind blew strong.\nOutput: The wind blew strong.\n\nInput: Sentence 1: A large object hit the Earth. Sentence 2: The dinosaurs became extinct.\nOutput: A large object hit the Earth.\n\nInput: Sentence 1: The bottle was left open. Sentence 2: The soda went flat.\nOutput: The bottle was left open.\n\nInput: Sentence 1: Sunlight filled the room. Sentence 2: The curtains were opened.\nOutput: The curtains were opened." } }, "69": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The man sued. Sentence 2: The floor was wet.\nOutput: The floor was wet.\n\nInput: Sentence 1: I flipped the switch. Sentence 2: Light filled the room.\nOutput: I flipped the switch.\n\nInput: Sentence 1: The family went to the beach. Sentence 2: The air conditioner broke.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: Acme paid Jill's legal fees. Sentence 2: Jill won the lawsuit against Acme.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The man couldn't hear what the woman was saying. Sentence 2: The man turned down the music volume.\nOutput: The man couldn't hear what the woman was saying.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The man sued. Sentence 2: The floor was wet.\nOutput: The floor was wet.\n\nInput: Sentence 1: I flipped the switch. Sentence 2: Light filled the room.\nOutput: I flipped the switch.\n\nInput: Sentence 1: The family went to the beach. Sentence 2: The air conditioner broke.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: Acme paid Jill's legal fees. Sentence 2: Jill won the lawsuit against Acme.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The man couldn't hear what the woman was saying. Sentence 2: The man turned down the music volume.\nOutput: The man couldn't hear what the woman was saying." } }, "70": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A bird hit the engine. Sentence 2: The pilot turned on the \"fasten seatbelts\" light.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: Jimmy took the last piece of cake. Sentence 2: Mom rinsed the tray.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: I pulled the dog's tail. Sentence 2: The dog bit me.\nOutput: I pulled the dog's tail.\n\nInput: Sentence 1: It started raining. Sentence 2: The woman who was walking on the street opened her umbrella.\nOutput: It started raining.\n\nInput: Sentence 1: Ted went out drinking. Sentence 2: Ted had a hangover.\nOutput: Ted went out drinking.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A bird hit the engine. Sentence 2: The pilot turned on the \"fasten seatbelts\" light.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: Jimmy took the last piece of cake. Sentence 2: Mom rinsed the tray.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: I pulled the dog's tail. Sentence 2: The dog bit me.\nOutput: I pulled the dog's tail.\n\nInput: Sentence 1: It started raining. Sentence 2: The woman who was walking on the street opened her umbrella.\nOutput: It started raining.\n\nInput: Sentence 1: Ted went out drinking. Sentence 2: Ted had a hangover.\nOutput: Ted went out drinking." } }, "71": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The door was locked. Sentence 2: The man climbed in through the window.\nOutput: The door was locked.\n\nInput: Sentence 1: The bottle was left open. Sentence 2: The soda went flat.\nOutput: The bottle was left open.\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: A man was covered in sticky red goo. Sentence 2: A watermelon exploded.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The air conditioner broke. Sentence 2: The family went to the beach.\nOutput: The air conditioner broke.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The door was locked. Sentence 2: The man climbed in through the window.\nOutput: The door was locked.\n\nInput: Sentence 1: The bottle was left open. Sentence 2: The soda went flat.\nOutput: The bottle was left open.\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: A man was covered in sticky red goo. Sentence 2: A watermelon exploded.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The air conditioner broke. Sentence 2: The family went to the beach.\nOutput: The air conditioner broke." } }, "72": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The man climbed in through the window. Sentence 2: The door was locked.\nOutput: The door was locked.\n\nInput: Sentence 1: My friend got a promotion. Sentence 2: My friend celebrated with their family.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: The pilot turned on the \"fasten seatbelts\" light. Sentence 2: A bird hit the engine.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: There was a wardrobe malfunction. Sentence 2: The performer ran off the stage.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: Sunlight filled the room. Sentence 2: The curtains were opened.\nOutput: The curtains were opened.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The man climbed in through the window. Sentence 2: The door was locked.\nOutput: The door was locked.\n\nInput: Sentence 1: My friend got a promotion. Sentence 2: My friend celebrated with their family.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: The pilot turned on the \"fasten seatbelts\" light. Sentence 2: A bird hit the engine.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: There was a wardrobe malfunction. Sentence 2: The performer ran off the stage.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: Sunlight filled the room. Sentence 2: The curtains were opened.\nOutput: The curtains were opened." } }, "73": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: The floor was wet. Sentence 2: The man sued.\nOutput: The floor was wet.\n\nInput: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open.\n\nInput: Sentence 1: The performer ran off the stage. Sentence 2: There was a wardrobe malfunction.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: The floor was wet. Sentence 2: The man sued.\nOutput: The floor was wet.\n\nInput: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open.\n\nInput: Sentence 1: The performer ran off the stage. Sentence 2: There was a wardrobe malfunction.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night." } }, "74": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The family went to the beach. Sentence 2: The air conditioner broke.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: A watermelon exploded. Sentence 2: A man was covered in sticky red goo.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The meat spoiled. Sentence 2: The power was out for days.\nOutput: The power was out for days.\n\nInput: Sentence 1: A flower grew. Sentence 2: The gardener planted a seed.\nOutput: The gardener planted a seed.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The family went to the beach. Sentence 2: The air conditioner broke.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: A watermelon exploded. Sentence 2: A man was covered in sticky red goo.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The meat spoiled. Sentence 2: The power was out for days.\nOutput: The power was out for days.\n\nInput: Sentence 1: A flower grew. Sentence 2: The gardener planted a seed.\nOutput: The gardener planted a seed." } }, "75": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The gardener planted a seed. Sentence 2: A flower grew.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: Jimmy took the last piece of cake. Sentence 2: Mom rinsed the tray.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: Sunlight filled the room. Sentence 2: The curtains were opened.\nOutput: The curtains were opened.\n\nInput: Sentence 1: The family went to the beach. Sentence 2: The air conditioner broke.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The girl skipped school. Sentence 2: The girl got detention.\nOutput: The girl skipped school.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The gardener planted a seed. Sentence 2: A flower grew.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: Jimmy took the last piece of cake. Sentence 2: Mom rinsed the tray.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: Sunlight filled the room. Sentence 2: The curtains were opened.\nOutput: The curtains were opened.\n\nInput: Sentence 1: The family went to the beach. Sentence 2: The air conditioner broke.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The girl skipped school. Sentence 2: The girl got detention.\nOutput: The girl skipped school." } }, "76": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The company's stock went up. Sentence 2: The company's posted strong earnings.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: The pilot turned on the \"fasten seatbelts\" light. Sentence 2: A bird hit the engine.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: The man robbed a gas station. Sentence 2: The man went to jail.\nOutput: The man robbed a gas station.\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: Mom rinsed the tray. Sentence 2: Jimmy took the last piece of cake.\nOutput: Jimmy took the last piece of cake.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The company's stock went up. Sentence 2: The company's posted strong earnings.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: The pilot turned on the \"fasten seatbelts\" light. Sentence 2: A bird hit the engine.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: The man robbed a gas station. Sentence 2: The man went to jail.\nOutput: The man robbed a gas station.\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: Mom rinsed the tray. Sentence 2: Jimmy took the last piece of cake.\nOutput: Jimmy took the last piece of cake." } }, "77": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Sunlight filled the room. Sentence 2: The curtains were opened.\nOutput: The curtains were opened.\n\nInput: Sentence 1: A watermelon exploded. Sentence 2: A man was covered in sticky red goo.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The pilot turned on the \"fasten seatbelts\" light. Sentence 2: A bird hit the engine.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Sunlight filled the room. Sentence 2: The curtains were opened.\nOutput: The curtains were opened.\n\nInput: Sentence 1: A watermelon exploded. Sentence 2: A man was covered in sticky red goo.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The pilot turned on the \"fasten seatbelts\" light. Sentence 2: A bird hit the engine.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open." } }, "78": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nInput: Sentence 1: Ted had a hangover. Sentence 2: Ted went out drinking.\nOutput: Ted went out drinking.\n\nInput: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: It started raining. Sentence 2: The woman who was walking on the street opened her umbrella.\nOutput: It started raining.\n\nInput: Sentence 1: The man couldn't hear what the woman was saying. Sentence 2: The man turned down the music volume.\nOutput: The man couldn't hear what the woman was saying.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nInput: Sentence 1: Ted had a hangover. Sentence 2: Ted went out drinking.\nOutput: Ted went out drinking.\n\nInput: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: It started raining. Sentence 2: The woman who was walking on the street opened her umbrella.\nOutput: It started raining.\n\nInput: Sentence 1: The man couldn't hear what the woman was saying. Sentence 2: The man turned down the music volume.\nOutput: The man couldn't hear what the woman was saying." } }, "79": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: The bottle was left open. Sentence 2: The soda went flat.\nOutput: The bottle was left open.\n\nInput: Sentence 1: Ted went out drinking. Sentence 2: Ted had a hangover.\nOutput: Ted went out drinking.\n\nInput: Sentence 1: The company's stock went up. Sentence 2: The company's posted strong earnings.\nOutput: The company's posted strong earnings.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: The bottle was left open. Sentence 2: The soda went flat.\nOutput: The bottle was left open.\n\nInput: Sentence 1: Ted went out drinking. Sentence 2: Ted had a hangover.\nOutput: Ted went out drinking.\n\nInput: Sentence 1: The company's stock went up. Sentence 2: The company's posted strong earnings.\nOutput: The company's posted strong earnings." } }, "80": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Tomatoes grew on the vine. Sentence 2: The insect pollinated the tomato flowers.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: The meat spoiled. Sentence 2: The power was out for days.\nOutput: The power was out for days.\n\nInput: Sentence 1: A bird hit the engine. Sentence 2: The pilot turned on the \"fasten seatbelts\" light.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: The woman who was walking on the street opened her umbrella. Sentence 2: It started raining.\nOutput: It started raining.\n\nInput: Sentence 1: The man sued. Sentence 2: The floor was wet.\nOutput: The floor was wet.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Tomatoes grew on the vine. Sentence 2: The insect pollinated the tomato flowers.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: The meat spoiled. Sentence 2: The power was out for days.\nOutput: The power was out for days.\n\nInput: Sentence 1: A bird hit the engine. Sentence 2: The pilot turned on the \"fasten seatbelts\" light.\nOutput: A bird hit the engine.\n\nInput: Sentence 1: The woman who was walking on the street opened her umbrella. Sentence 2: It started raining.\nOutput: It started raining.\n\nInput: Sentence 1: The man sued. Sentence 2: The floor was wet.\nOutput: The floor was wet." } }, "81": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: I flipped the switch. Sentence 2: Light filled the room.\nOutput: I flipped the switch.\n\nInput: Sentence 1: The man climbed in through the window. Sentence 2: The door was locked.\nOutput: The door was locked.\n\nInput: Sentence 1: A large object hit the Earth. Sentence 2: The dinosaurs became extinct.\nOutput: A large object hit the Earth.\n\nInput: Sentence 1: Mom rinsed the tray. Sentence 2: Jimmy took the last piece of cake.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: A flower grew. Sentence 2: The gardener planted a seed.\nOutput: The gardener planted a seed.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: I flipped the switch. Sentence 2: Light filled the room.\nOutput: I flipped the switch.\n\nInput: Sentence 1: The man climbed in through the window. Sentence 2: The door was locked.\nOutput: The door was locked.\n\nInput: Sentence 1: A large object hit the Earth. Sentence 2: The dinosaurs became extinct.\nOutput: A large object hit the Earth.\n\nInput: Sentence 1: Mom rinsed the tray. Sentence 2: Jimmy took the last piece of cake.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: A flower grew. Sentence 2: The gardener planted a seed.\nOutput: The gardener planted a seed." } }, "82": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: The dinosaurs became extinct. Sentence 2: A large object hit the Earth.\nOutput: A large object hit the Earth.\n\nInput: Sentence 1: The curtains were opened. Sentence 2: Sunlight filled the room.\nOutput: The curtains were opened.\n\nInput: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open.\n\nInput: Sentence 1: Jimmy took the last piece of cake. Sentence 2: Mom rinsed the tray.\nOutput: Jimmy took the last piece of cake.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: The dinosaurs became extinct. Sentence 2: A large object hit the Earth.\nOutput: A large object hit the Earth.\n\nInput: Sentence 1: The curtains were opened. Sentence 2: Sunlight filled the room.\nOutput: The curtains were opened.\n\nInput: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open.\n\nInput: Sentence 1: Jimmy took the last piece of cake. Sentence 2: Mom rinsed the tray.\nOutput: Jimmy took the last piece of cake." } }, "83": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nInput: Sentence 1: The floor was wet. Sentence 2: The man sued.\nOutput: The floor was wet.\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: The gardener planted a seed. Sentence 2: A flower grew.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: The man robbed a gas station. Sentence 2: The man went to jail.\nOutput: The man robbed a gas station.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nInput: Sentence 1: The floor was wet. Sentence 2: The man sued.\nOutput: The floor was wet.\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: The gardener planted a seed. Sentence 2: A flower grew.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: The man robbed a gas station. Sentence 2: The man went to jail.\nOutput: The man robbed a gas station." } }, "84": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The man climbed in through the window. Sentence 2: The door was locked.\nOutput: The door was locked.\n\nInput: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open.\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: Light filled the room. Sentence 2: I flipped the switch.\nOutput: I flipped the switch.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The man climbed in through the window. Sentence 2: The door was locked.\nOutput: The door was locked.\n\nInput: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open.\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: Light filled the room. Sentence 2: I flipped the switch.\nOutput: I flipped the switch." } }, "85": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Mom rinsed the tray. Sentence 2: Jimmy took the last piece of cake.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: The air conditioner broke. Sentence 2: The family went to the beach.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: I pulled the dog's tail. Sentence 2: The dog bit me.\nOutput: I pulled the dog's tail.\n\nInput: Sentence 1: The performer ran off the stage. Sentence 2: There was a wardrobe malfunction.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: The girl got detention. Sentence 2: The girl skipped school.\nOutput: The girl skipped school.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Mom rinsed the tray. Sentence 2: Jimmy took the last piece of cake.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: The air conditioner broke. Sentence 2: The family went to the beach.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: I pulled the dog's tail. Sentence 2: The dog bit me.\nOutput: I pulled the dog's tail.\n\nInput: Sentence 1: The performer ran off the stage. Sentence 2: There was a wardrobe malfunction.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: The girl got detention. Sentence 2: The girl skipped school.\nOutput: The girl skipped school." } }, "86": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The girl skipped school. Sentence 2: The girl got detention.\nOutput: The girl skipped school.\n\nInput: Sentence 1: A flower grew. Sentence 2: The gardener planted a seed.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: The meat spoiled. Sentence 2: The power was out for days.\nOutput: The power was out for days.\n\nInput: Sentence 1: The wind blew strong. Sentence 2: The ship capsized.\nOutput: The wind blew strong.\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The girl skipped school. Sentence 2: The girl got detention.\nOutput: The girl skipped school.\n\nInput: Sentence 1: A flower grew. Sentence 2: The gardener planted a seed.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: The meat spoiled. Sentence 2: The power was out for days.\nOutput: The power was out for days.\n\nInput: Sentence 1: The wind blew strong. Sentence 2: The ship capsized.\nOutput: The wind blew strong.\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night." } }, "87": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Tomatoes grew on the vine. Sentence 2: The insect pollinated the tomato flowers.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: It started raining. Sentence 2: The woman who was walking on the street opened her umbrella.\nOutput: It started raining.\n\nInput: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nInput: Sentence 1: Jill won the lawsuit against Acme. Sentence 2: Acme paid Jill's legal fees.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Tomatoes grew on the vine. Sentence 2: The insect pollinated the tomato flowers.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: It started raining. Sentence 2: The woman who was walking on the street opened her umbrella.\nOutput: It started raining.\n\nInput: Sentence 1: The power was out for days. Sentence 2: The meat spoiled.\nOutput: The power was out for days.\n\nInput: Sentence 1: Jill won the lawsuit against Acme. Sentence 2: Acme paid Jill's legal fees.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion." } }, "88": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The gardener planted a seed. Sentence 2: A flower grew.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: Ted went out drinking. Sentence 2: Ted had a hangover.\nOutput: Ted went out drinking.\n\nInput: Sentence 1: There was a wardrobe malfunction. Sentence 2: The performer ran off the stage.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: The curtains were opened. Sentence 2: Sunlight filled the room.\nOutput: The curtains were opened.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The gardener planted a seed. Sentence 2: A flower grew.\nOutput: The gardener planted a seed.\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: Ted went out drinking. Sentence 2: Ted had a hangover.\nOutput: Ted went out drinking.\n\nInput: Sentence 1: There was a wardrobe malfunction. Sentence 2: The performer ran off the stage.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: The curtains were opened. Sentence 2: Sunlight filled the room.\nOutput: The curtains were opened." } }, "89": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: The ship capsized. Sentence 2: The wind blew strong.\nOutput: The wind blew strong.\n\nInput: Sentence 1: A man was covered in sticky red goo. Sentence 2: A watermelon exploded.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The dinosaurs became extinct. Sentence 2: A large object hit the Earth.\nOutput: A large object hit the Earth.\n\nInput: Sentence 1: The man sued. Sentence 2: The floor was wet.\nOutput: The floor was wet.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: The ship capsized. Sentence 2: The wind blew strong.\nOutput: The wind blew strong.\n\nInput: Sentence 1: A man was covered in sticky red goo. Sentence 2: A watermelon exploded.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The dinosaurs became extinct. Sentence 2: A large object hit the Earth.\nOutput: A large object hit the Earth.\n\nInput: Sentence 1: The man sued. Sentence 2: The floor was wet.\nOutput: The floor was wet." } }, "90": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The milk was left outside the fridge over night. Sentence 2: The man sipped the milk and spit it out.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: Ted went out drinking. Sentence 2: Ted had a hangover.\nOutput: Ted went out drinking.\n\nInput: Sentence 1: The wind blew strong. Sentence 2: The ship capsized.\nOutput: The wind blew strong.\n\nInput: Sentence 1: The man turned down the music volume. Sentence 2: The man couldn't hear what the woman was saying.\nOutput: The man couldn't hear what the woman was saying.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The milk was left outside the fridge over night. Sentence 2: The man sipped the milk and spit it out.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: Ted went out drinking. Sentence 2: Ted had a hangover.\nOutput: Ted went out drinking.\n\nInput: Sentence 1: The wind blew strong. Sentence 2: The ship capsized.\nOutput: The wind blew strong.\n\nInput: Sentence 1: The man turned down the music volume. Sentence 2: The man couldn't hear what the woman was saying.\nOutput: The man couldn't hear what the woman was saying." } }, "91": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The air conditioner broke. Sentence 2: The family went to the beach.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: The milk was left outside the fridge over night. Sentence 2: The man sipped the milk and spit it out.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: The man couldn't hear what the woman was saying. Sentence 2: The man turned down the music volume.\nOutput: The man couldn't hear what the woman was saying.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The air conditioner broke. Sentence 2: The family went to the beach.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: The milk was left outside the fridge over night. Sentence 2: The man sipped the milk and spit it out.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: The insect pollinated the tomato flowers. Sentence 2: Tomatoes grew on the vine.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: The man couldn't hear what the woman was saying. Sentence 2: The man turned down the music volume.\nOutput: The man couldn't hear what the woman was saying." } }, "92": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Light filled the room. Sentence 2: I flipped the switch.\nOutput: I flipped the switch.\n\nInput: Sentence 1: The man turned down the music volume. Sentence 2: The man couldn't hear what the woman was saying.\nOutput: The man couldn't hear what the woman was saying.\n\nInput: Sentence 1: The girl got detention. Sentence 2: The girl skipped school.\nOutput: The girl skipped school.\n\nInput: Sentence 1: The floor was wet. Sentence 2: The man sued.\nOutput: The floor was wet.\n\nInput: Sentence 1: Acme paid Jill's legal fees. Sentence 2: Jill won the lawsuit against Acme.\nOutput: Jill won the lawsuit against Acme.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Light filled the room. Sentence 2: I flipped the switch.\nOutput: I flipped the switch.\n\nInput: Sentence 1: The man turned down the music volume. Sentence 2: The man couldn't hear what the woman was saying.\nOutput: The man couldn't hear what the woman was saying.\n\nInput: Sentence 1: The girl got detention. Sentence 2: The girl skipped school.\nOutput: The girl skipped school.\n\nInput: Sentence 1: The floor was wet. Sentence 2: The man sued.\nOutput: The floor was wet.\n\nInput: Sentence 1: Acme paid Jill's legal fees. Sentence 2: Jill won the lawsuit against Acme.\nOutput: Jill won the lawsuit against Acme." } }, "93": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The girl skipped school. Sentence 2: The girl got detention.\nOutput: The girl skipped school.\n\nInput: Sentence 1: The ship capsized. Sentence 2: The wind blew strong.\nOutput: The wind blew strong.\n\nInput: Sentence 1: The dinosaurs became extinct. Sentence 2: A large object hit the Earth.\nOutput: A large object hit the Earth.\n\nInput: Sentence 1: Ted had a hangover. Sentence 2: Ted went out drinking.\nOutput: Ted went out drinking.\n\nInput: Sentence 1: George plugged the laptop charger in. Sentence 2: The laptop ran out of battery.\nOutput: The laptop ran out of battery.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The girl skipped school. Sentence 2: The girl got detention.\nOutput: The girl skipped school.\n\nInput: Sentence 1: The ship capsized. Sentence 2: The wind blew strong.\nOutput: The wind blew strong.\n\nInput: Sentence 1: The dinosaurs became extinct. Sentence 2: A large object hit the Earth.\nOutput: A large object hit the Earth.\n\nInput: Sentence 1: Ted had a hangover. Sentence 2: Ted went out drinking.\nOutput: Ted went out drinking.\n\nInput: Sentence 1: George plugged the laptop charger in. Sentence 2: The laptop ran out of battery.\nOutput: The laptop ran out of battery." } }, "94": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Jill won the lawsuit against Acme. Sentence 2: Acme paid Jill's legal fees.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The air conditioner broke. Sentence 2: The family went to the beach.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The floor was wet. Sentence 2: The man sued.\nOutput: The floor was wet.\n\nInput: Sentence 1: The man couldn't hear what the woman was saying. Sentence 2: The man turned down the music volume.\nOutput: The man couldn't hear what the woman was saying.\n\nInput: Sentence 1: The man climbed in through the window. Sentence 2: The door was locked.\nOutput: The door was locked.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Jill won the lawsuit against Acme. Sentence 2: Acme paid Jill's legal fees.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The air conditioner broke. Sentence 2: The family went to the beach.\nOutput: The air conditioner broke.\n\nInput: Sentence 1: The floor was wet. Sentence 2: The man sued.\nOutput: The floor was wet.\n\nInput: Sentence 1: The man couldn't hear what the woman was saying. Sentence 2: The man turned down the music volume.\nOutput: The man couldn't hear what the woman was saying.\n\nInput: Sentence 1: The man climbed in through the window. Sentence 2: The door was locked.\nOutput: The door was locked." } }, "95": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Mom rinsed the tray. Sentence 2: Jimmy took the last piece of cake.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: A watermelon exploded. Sentence 2: A man was covered in sticky red goo.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The performer ran off the stage. Sentence 2: There was a wardrobe malfunction.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: The company's stock went up. Sentence 2: The company's posted strong earnings.\nOutput: The company's posted strong earnings.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Mom rinsed the tray. Sentence 2: Jimmy took the last piece of cake.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: A watermelon exploded. Sentence 2: A man was covered in sticky red goo.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The performer ran off the stage. Sentence 2: There was a wardrobe malfunction.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: The company's stock went up. Sentence 2: The company's posted strong earnings.\nOutput: The company's posted strong earnings." } }, "96": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: The man robbed a gas station. Sentence 2: The man went to jail.\nOutput: The man robbed a gas station.\n\nInput: Sentence 1: The dinosaurs became extinct. Sentence 2: A large object hit the Earth.\nOutput: A large object hit the Earth.\n\nInput: Sentence 1: The performer ran off the stage. Sentence 2: There was a wardrobe malfunction.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: Acme paid Jill's legal fees. Sentence 2: Jill won the lawsuit against Acme.\nOutput: Jill won the lawsuit against Acme.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: The man robbed a gas station. Sentence 2: The man went to jail.\nOutput: The man robbed a gas station.\n\nInput: Sentence 1: The dinosaurs became extinct. Sentence 2: A large object hit the Earth.\nOutput: A large object hit the Earth.\n\nInput: Sentence 1: The performer ran off the stage. Sentence 2: There was a wardrobe malfunction.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: Acme paid Jill's legal fees. Sentence 2: Jill won the lawsuit against Acme.\nOutput: Jill won the lawsuit against Acme." } }, "97": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The man climbed in through the window. Sentence 2: The door was locked.\nOutput: The door was locked.\n\nInput: Sentence 1: Tomatoes grew on the vine. Sentence 2: The insect pollinated the tomato flowers.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: The dog bit me. Sentence 2: I pulled the dog's tail.\nOutput: I pulled the dog's tail.\n\nInput: Sentence 1: The company's stock went up. Sentence 2: The company's posted strong earnings.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The man climbed in through the window. Sentence 2: The door was locked.\nOutput: The door was locked.\n\nInput: Sentence 1: Tomatoes grew on the vine. Sentence 2: The insect pollinated the tomato flowers.\nOutput: The insect pollinated the tomato flowers.\n\nInput: Sentence 1: The dog bit me. Sentence 2: I pulled the dog's tail.\nOutput: I pulled the dog's tail.\n\nInput: Sentence 1: The company's stock went up. Sentence 2: The company's posted strong earnings.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery." } }, "98": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: The wind blew strong. Sentence 2: The ship capsized.\nOutput: The wind blew strong.\n\nInput: Sentence 1: Jimmy took the last piece of cake. Sentence 2: Mom rinsed the tray.\nOutput: Jimmy took the last piece of cake.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The soda went flat. Sentence 2: The bottle was left open.\nOutput: The bottle was left open.\n\nInput: Sentence 1: The laptop ran out of battery. Sentence 2: George plugged the laptop charger in.\nOutput: The laptop ran out of battery.\n\nInput: Sentence 1: My friend celebrated with their family. Sentence 2: My friend got a promotion.\nOutput: My friend got a promotion.\n\nInput: Sentence 1: The wind blew strong. Sentence 2: The ship capsized.\nOutput: The wind blew strong.\n\nInput: Sentence 1: Jimmy took the last piece of cake. Sentence 2: Mom rinsed the tray.\nOutput: Jimmy took the last piece of cake." } }, "99": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The performer ran off the stage. Sentence 2: There was a wardrobe malfunction.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: Jimmy took the last piece of cake. Sentence 2: Mom rinsed the tray.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: Jill won the lawsuit against Acme. Sentence 2: Acme paid Jill's legal fees.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The company's posted strong earnings. Sentence 2: The company's stock went up.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: A bird hit the engine. Sentence 2: The pilot turned on the \"fasten seatbelts\" light.\nOutput: A bird hit the engine.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The performer ran off the stage. Sentence 2: There was a wardrobe malfunction.\nOutput: There was a wardrobe malfunction.\n\nInput: Sentence 1: Jimmy took the last piece of cake. Sentence 2: Mom rinsed the tray.\nOutput: Jimmy took the last piece of cake.\n\nInput: Sentence 1: Jill won the lawsuit against Acme. Sentence 2: Acme paid Jill's legal fees.\nOutput: Jill won the lawsuit against Acme.\n\nInput: Sentence 1: The company's posted strong earnings. Sentence 2: The company's stock went up.\nOutput: The company's posted strong earnings.\n\nInput: Sentence 1: A bird hit the engine. Sentence 2: The pilot turned on the \"fasten seatbelts\" light.\nOutput: A bird hit the engine." } }, "100": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: A large object hit the Earth. Sentence 2: The dinosaurs became extinct.\nOutput: A large object hit the Earth.\n\nInput: Sentence 1: A man was covered in sticky red goo. Sentence 2: A watermelon exploded.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The meat spoiled. Sentence 2: The power was out for days.\nOutput: The power was out for days.\n\nInput: Sentence 1: The man turned down the music volume. Sentence 2: The man couldn't hear what the woman was saying.\nOutput: The man couldn't hear what the woman was saying.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The man sipped the milk and spit it out. Sentence 2: The milk was left outside the fridge over night.\nOutput: The milk was left outside the fridge over night.\n\nInput: Sentence 1: A large object hit the Earth. Sentence 2: The dinosaurs became extinct.\nOutput: A large object hit the Earth.\n\nInput: Sentence 1: A man was covered in sticky red goo. Sentence 2: A watermelon exploded.\nOutput: A watermelon exploded.\n\nInput: Sentence 1: The meat spoiled. Sentence 2: The power was out for days.\nOutput: The power was out for days.\n\nInput: Sentence 1: The man turned down the music volume. Sentence 2: The man couldn't hear what the woman was saying.\nOutput: The man couldn't hear what the woman was saying." } } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/induction_input/common_concept.json ================================================ { "examples": { "1": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nThe instruction was", "metadata": { "examples_seen": "Input: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind." } }, "2": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nThe instruction was", "metadata": { "examples_seen": "Input: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind." } }, "3": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nThe instruction was", "metadata": { "examples_seen": "Input: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind." } }, "4": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nThe instruction was", "metadata": { "examples_seen": "Input: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling." } }, "5": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nThe instruction was", "metadata": { "examples_seen": "Input: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind." } }, "6": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nThe instruction was", "metadata": { "examples_seen": "Input: bamboo, memory, lines\nOutput: have segments.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations." } }, "7": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nThe instruction was", "metadata": { "examples_seen": "Input: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: folding, committee, lounge\nOutput: types of chairs." } }, "8": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nThe instruction was", "metadata": { "examples_seen": "Input: green, light, dog, ware\nOutput: types of house.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something." } }, "9": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nThe instruction was", "metadata": { "examples_seen": "Input: green, light, dog, ware\nOutput: types of house.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes." } }, "10": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nThe instruction was", "metadata": { "examples_seen": "Input: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something." } }, "11": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nThe instruction was", "metadata": { "examples_seen": "Input: green, light, dog, ware\nOutput: types of house.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes." } }, "12": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nThe instruction was", "metadata": { "examples_seen": "Input: picture, issue, reference\nOutput: involve frames.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins." } }, "13": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nThe instruction was", "metadata": { "examples_seen": "Input: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind." } }, "14": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nThe instruction was", "metadata": { "examples_seen": "Input: bamboo, memory, lines\nOutput: have segments.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs." } }, "15": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nThe instruction was", "metadata": { "examples_seen": "Input: folding, committee, lounge\nOutput: types of chairs.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins." } }, "16": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nThe instruction was", "metadata": { "examples_seen": "Input: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs." } }, "17": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nThe instruction was", "metadata": { "examples_seen": "Input: picture, issue, reference\nOutput: involve frames.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate." } }, "18": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nThe instruction was", "metadata": { "examples_seen": "Input: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: dentistry, construction, oil\nOutput: involve drilling." } }, "19": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nThe instruction was", "metadata": { "examples_seen": "Input: green, light, dog, ware\nOutput: types of house.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: folding, committee, lounge\nOutput: types of chairs." } }, "20": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nThe instruction was", "metadata": { "examples_seen": "Input: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: dentistry, construction, oil\nOutput: involve drilling." } }, "21": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nThe instruction was", "metadata": { "examples_seen": "Input: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: bamboo, memory, lines\nOutput: have segments." } }, "22": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nThe instruction was", "metadata": { "examples_seen": "Input: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells." } }, "23": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nThe instruction was", "metadata": { "examples_seen": "Input: folding, committee, lounge\nOutput: types of chairs.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations." } }, "24": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nThe instruction was", "metadata": { "examples_seen": "Input: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes." } }, "25": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nThe instruction was", "metadata": { "examples_seen": "Input: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something." } }, "26": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nThe instruction was", "metadata": { "examples_seen": "Input: picture, issue, reference\nOutput: involve frames.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching." } }, "27": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nThe instruction was", "metadata": { "examples_seen": "Input: folding, committee, lounge\nOutput: types of chairs.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling." } }, "28": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nThe instruction was", "metadata": { "examples_seen": "Input: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something." } }, "29": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nThe instruction was", "metadata": { "examples_seen": "Input: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind." } }, "30": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nThe instruction was", "metadata": { "examples_seen": "Input: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes." } }, "31": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nThe instruction was", "metadata": { "examples_seen": "Input: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching." } }, "32": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nThe instruction was", "metadata": { "examples_seen": "Input: folding, committee, lounge\nOutput: types of chairs.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate." } }, "33": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nThe instruction was", "metadata": { "examples_seen": "Input: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate." } }, "34": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nThe instruction was", "metadata": { "examples_seen": "Input: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: bamboo, memory, lines\nOutput: have segments." } }, "35": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nThe instruction was", "metadata": { "examples_seen": "Input: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells." } }, "36": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nThe instruction was", "metadata": { "examples_seen": "Input: bamboo, memory, lines\nOutput: have segments.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something." } }, "37": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nThe instruction was", "metadata": { "examples_seen": "Input: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something." } }, "38": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nThe instruction was", "metadata": { "examples_seen": "Input: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate." } }, "39": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nThe instruction was", "metadata": { "examples_seen": "Input: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something." } }, "40": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nThe instruction was", "metadata": { "examples_seen": "Input: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something." } }, "41": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nThe instruction was", "metadata": { "examples_seen": "Input: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs." } }, "42": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nThe instruction was", "metadata": { "examples_seen": "Input: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells." } }, "43": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nThe instruction was", "metadata": { "examples_seen": "Input: bamboo, memory, lines\nOutput: have segments.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins." } }, "44": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nThe instruction was", "metadata": { "examples_seen": "Input: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: bamboo, memory, lines\nOutput: have segments." } }, "45": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nThe instruction was", "metadata": { "examples_seen": "Input: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells." } }, "46": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nThe instruction was", "metadata": { "examples_seen": "Input: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something." } }, "47": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nThe instruction was", "metadata": { "examples_seen": "Input: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes." } }, "48": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nThe instruction was", "metadata": { "examples_seen": "Input: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs." } }, "49": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nThe instruction was", "metadata": { "examples_seen": "Input: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching." } }, "50": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nThe instruction was", "metadata": { "examples_seen": "Input: bamboo, memory, lines\nOutput: have segments.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling." } }, "51": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nThe instruction was", "metadata": { "examples_seen": "Input: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins." } }, "52": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nThe instruction was", "metadata": { "examples_seen": "Input: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes." } }, "53": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nThe instruction was", "metadata": { "examples_seen": "Input: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes." } }, "54": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nThe instruction was", "metadata": { "examples_seen": "Input: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate." } }, "55": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nThe instruction was", "metadata": { "examples_seen": "Input: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching." } }, "56": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nThe instruction was", "metadata": { "examples_seen": "Input: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs." } }, "57": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nThe instruction was", "metadata": { "examples_seen": "Input: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: bamboo, memory, lines\nOutput: have segments." } }, "58": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nThe instruction was", "metadata": { "examples_seen": "Input: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs." } }, "59": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nThe instruction was", "metadata": { "examples_seen": "Input: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells." } }, "60": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nThe instruction was", "metadata": { "examples_seen": "Input: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate." } }, "61": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nThe instruction was", "metadata": { "examples_seen": "Input: bamboo, memory, lines\nOutput: have segments.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: folding, committee, lounge\nOutput: types of chairs." } }, "62": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nThe instruction was", "metadata": { "examples_seen": "Input: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling." } }, "63": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nThe instruction was", "metadata": { "examples_seen": "Input: folding, committee, lounge\nOutput: types of chairs.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching." } }, "64": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nThe instruction was", "metadata": { "examples_seen": "Input: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate." } }, "65": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nThe instruction was", "metadata": { "examples_seen": "Input: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: green, light, dog, ware\nOutput: types of house." } }, "66": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nThe instruction was", "metadata": { "examples_seen": "Input: bamboo, memory, lines\nOutput: have segments.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something." } }, "67": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nThe instruction was", "metadata": { "examples_seen": "Input: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells." } }, "68": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nThe instruction was", "metadata": { "examples_seen": "Input: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching." } }, "69": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nThe instruction was", "metadata": { "examples_seen": "Input: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling." } }, "70": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nThe instruction was", "metadata": { "examples_seen": "Input: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: green, light, dog, ware\nOutput: types of house." } }, "71": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nThe instruction was", "metadata": { "examples_seen": "Input: green, light, dog, ware\nOutput: types of house.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes." } }, "72": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nThe instruction was", "metadata": { "examples_seen": "Input: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something." } }, "73": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nThe instruction was", "metadata": { "examples_seen": "Input: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells." } }, "74": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nThe instruction was", "metadata": { "examples_seen": "Input: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind." } }, "75": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nThe instruction was", "metadata": { "examples_seen": "Input: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: dentistry, construction, oil\nOutput: involve drilling." } }, "76": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nThe instruction was", "metadata": { "examples_seen": "Input: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes." } }, "77": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nThe instruction was", "metadata": { "examples_seen": "Input: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate." } }, "78": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nThe instruction was", "metadata": { "examples_seen": "Input: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs." } }, "79": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nThe instruction was", "metadata": { "examples_seen": "Input: green, light, dog, ware\nOutput: types of house.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: bamboo, memory, lines\nOutput: have segments." } }, "80": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nThe instruction was", "metadata": { "examples_seen": "Input: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins." } }, "81": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nThe instruction was", "metadata": { "examples_seen": "Input: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: green, light, dog, ware\nOutput: types of house." } }, "82": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nThe instruction was", "metadata": { "examples_seen": "Input: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: picture, issue, reference\nOutput: involve frames." } }, "83": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nThe instruction was", "metadata": { "examples_seen": "Input: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: picture, issue, reference\nOutput: involve frames." } }, "84": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nThe instruction was", "metadata": { "examples_seen": "Input: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: folding, committee, lounge\nOutput: types of chairs." } }, "85": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nThe instruction was", "metadata": { "examples_seen": "Input: bamboo, memory, lines\nOutput: have segments.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind." } }, "86": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nThe instruction was", "metadata": { "examples_seen": "Input: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations." } }, "87": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nThe instruction was", "metadata": { "examples_seen": "Input: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: picture, issue, reference\nOutput: involve frames." } }, "88": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nThe instruction was", "metadata": { "examples_seen": "Input: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs." } }, "89": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nThe instruction was", "metadata": { "examples_seen": "Input: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate." } }, "90": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nThe instruction was", "metadata": { "examples_seen": "Input: folding, committee, lounge\nOutput: types of chairs.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: green, light, dog, ware\nOutput: types of house." } }, "91": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nThe instruction was", "metadata": { "examples_seen": "Input: squirrel foraging, memoization, web browsers\nOutput: involve caching.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind." } }, "92": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nThe instruction was", "metadata": { "examples_seen": "Input: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes." } }, "93": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nThe instruction was", "metadata": { "examples_seen": "Input: bamboo, memory, lines\nOutput: have segments.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: picture, issue, reference\nOutput: involve frames." } }, "94": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nThe instruction was", "metadata": { "examples_seen": "Input: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate." } }, "95": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs.\n\nThe instruction was", "metadata": { "examples_seen": "Input: bamboo, memory, lines\nOutput: have segments.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can be used for repairs." } }, "96": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate.\n\nThe instruction was", "metadata": { "examples_seen": "Input: picture, issue, reference\nOutput: involve frames.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: snowman, marzipan fruit, rubber plant\nOutput: inanimate, but made to imitate something animate." } }, "97": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: bamboo, memory, lines\nOutput: have segments.\n\nThe instruction was", "metadata": { "examples_seen": "Input: dentistry, construction, oil\nOutput: involve drilling.\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: green, light, dog, ware\nOutput: types of house.\n\nInput: bamboo, memory, lines\nOutput: have segments." } }, "98": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nThe instruction was", "metadata": { "examples_seen": "Input: normal distribution, Pavlov, carillon\nOutput: relate to bells.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: poker, displays of embarrassment, toilets\nOutput: involve flushes.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something." } }, "99": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: picture, issue, reference\nOutput: involve frames.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling.\n\nThe instruction was", "metadata": { "examples_seen": "Input: picture, issue, reference\nOutput: involve frames.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nInput: blue whales, Jupiter, top quarks, Mt. Everest\nOutput: the largest of their kind.\n\nInput: ballet, snow, running, snorkeling\nOutput: use specialized shoes.\n\nInput: avalanches, rock polishing, gymnastics\nOutput: involve tumbling." } }, "100": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something.\n\nThe instruction was", "metadata": { "examples_seen": "Input: guitars, pendulums, neutrinos\nOutput: involve oscillations.\n\nInput: folding, committee, lounge\nOutput: types of chairs.\n\nInput: magnetic resonance imaging, propaganda, figure skating\nOutput: involve spins.\n\nInput: boats, tablecloths, crowns\nOutput: go on top of something.\n\nInput: sewing, wrenches, glue, surgery\nOutput: can help repair something." } } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/induction_input/diff.json ================================================ { "examples": { "1": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 91 7\nOutput: 84\n\nInput: 123 52\nOutput: 71\n\nInput: 72 8\nOutput: 64\n\nInput: 175 76\nOutput: 99\n\nInput: 103 22\nOutput: 81\n\nThe instruction was", "metadata": { "examples_seen": "Input: 91 7\nOutput: 84\n\nInput: 123 52\nOutput: 71\n\nInput: 72 8\nOutput: 64\n\nInput: 175 76\nOutput: 99\n\nInput: 103 22\nOutput: 81" } }, "2": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 54 0\nOutput: 54\n\nInput: 151 67\nOutput: 84\n\nInput: 73 7\nOutput: 66\n\nInput: 140 55\nOutput: 85\n\nInput: 77 29\nOutput: 48\n\nThe instruction was", "metadata": { "examples_seen": "Input: 54 0\nOutput: 54\n\nInput: 151 67\nOutput: 84\n\nInput: 73 7\nOutput: 66\n\nInput: 140 55\nOutput: 85\n\nInput: 77 29\nOutput: 48" } }, "3": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 54 13\nOutput: 41\n\nInput: 71 29\nOutput: 42\n\nInput: 152 76\nOutput: 76\n\nInput: 109 19\nOutput: 90\n\nInput: 81 37\nOutput: 44\n\nThe instruction was", "metadata": { "examples_seen": "Input: 54 13\nOutput: 41\n\nInput: 71 29\nOutput: 42\n\nInput: 152 76\nOutput: 76\n\nInput: 109 19\nOutput: 90\n\nInput: 81 37\nOutput: 44" } }, "4": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 58 29\nOutput: 29\n\nInput: 88 20\nOutput: 68\n\nInput: 94 43\nOutput: 51\n\nInput: 86 37\nOutput: 49\n\nInput: 13 5\nOutput: 8\n\nThe instruction was", "metadata": { "examples_seen": "Input: 58 29\nOutput: 29\n\nInput: 88 20\nOutput: 68\n\nInput: 94 43\nOutput: 51\n\nInput: 86 37\nOutput: 49\n\nInput: 13 5\nOutput: 8" } }, "5": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 111 12\nOutput: 99\n\nInput: 62 29\nOutput: 33\n\nInput: 52 2\nOutput: 50\n\nInput: 84 29\nOutput: 55\n\nInput: 116 33\nOutput: 83\n\nThe instruction was", "metadata": { "examples_seen": "Input: 111 12\nOutput: 99\n\nInput: 62 29\nOutput: 33\n\nInput: 52 2\nOutput: 50\n\nInput: 84 29\nOutput: 55\n\nInput: 116 33\nOutput: 83" } }, "6": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 95 26\nOutput: 69\n\nInput: 157 74\nOutput: 83\n\nInput: 189 92\nOutput: 97\n\nInput: 103 34\nOutput: 69\n\nInput: 99 24\nOutput: 75\n\nThe instruction was", "metadata": { "examples_seen": "Input: 95 26\nOutput: 69\n\nInput: 157 74\nOutput: 83\n\nInput: 189 92\nOutput: 97\n\nInput: 103 34\nOutput: 69\n\nInput: 99 24\nOutput: 75" } }, "7": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 153 61\nOutput: 92\n\nInput: 76 34\nOutput: 42\n\nInput: 68 10\nOutput: 58\n\nInput: 69 25\nOutput: 44\n\nInput: 101 7\nOutput: 94\n\nThe instruction was", "metadata": { "examples_seen": "Input: 153 61\nOutput: 92\n\nInput: 76 34\nOutput: 42\n\nInput: 68 10\nOutput: 58\n\nInput: 69 25\nOutput: 44\n\nInput: 101 7\nOutput: 94" } }, "8": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 20 2\nOutput: 18\n\nInput: 112 28\nOutput: 84\n\nInput: 54 3\nOutput: 51\n\nInput: 82 10\nOutput: 72\n\nInput: 99 13\nOutput: 86\n\nThe instruction was", "metadata": { "examples_seen": "Input: 20 2\nOutput: 18\n\nInput: 112 28\nOutput: 84\n\nInput: 54 3\nOutput: 51\n\nInput: 82 10\nOutput: 72\n\nInput: 99 13\nOutput: 86" } }, "9": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 138 54\nOutput: 84\n\nInput: 97 26\nOutput: 71\n\nInput: 37 1\nOutput: 36\n\nInput: 80 29\nOutput: 51\n\nInput: 144 53\nOutput: 91\n\nThe instruction was", "metadata": { "examples_seen": "Input: 138 54\nOutput: 84\n\nInput: 97 26\nOutput: 71\n\nInput: 37 1\nOutput: 36\n\nInput: 80 29\nOutput: 51\n\nInput: 144 53\nOutput: 91" } }, "10": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 116 44\nOutput: 72\n\nInput: 109 11\nOutput: 98\n\nInput: 49 17\nOutput: 32\n\nInput: 112 50\nOutput: 62\n\nInput: 108 50\nOutput: 58\n\nThe instruction was", "metadata": { "examples_seen": "Input: 116 44\nOutput: 72\n\nInput: 109 11\nOutput: 98\n\nInput: 49 17\nOutput: 32\n\nInput: 112 50\nOutput: 62\n\nInput: 108 50\nOutput: 58" } }, "11": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 161 65\nOutput: 96\n\nInput: 117 52\nOutput: 65\n\nInput: 126 35\nOutput: 91\n\nInput: 63 29\nOutput: 34\n\nInput: 62 19\nOutput: 43\n\nThe instruction was", "metadata": { "examples_seen": "Input: 161 65\nOutput: 96\n\nInput: 117 52\nOutput: 65\n\nInput: 126 35\nOutput: 91\n\nInput: 63 29\nOutput: 34\n\nInput: 62 19\nOutput: 43" } }, "12": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 47 18\nOutput: 29\n\nInput: 136 43\nOutput: 93\n\nInput: 129 38\nOutput: 91\n\nInput: 183 84\nOutput: 99\n\nInput: 52 22\nOutput: 30\n\nThe instruction was", "metadata": { "examples_seen": "Input: 47 18\nOutput: 29\n\nInput: 136 43\nOutput: 93\n\nInput: 129 38\nOutput: 91\n\nInput: 183 84\nOutput: 99\n\nInput: 52 22\nOutput: 30" } }, "13": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 78 33\nOutput: 45\n\nInput: 110 12\nOutput: 98\n\nInput: 136 46\nOutput: 90\n\nInput: 133 56\nOutput: 77\n\nInput: 73 14\nOutput: 59\n\nThe instruction was", "metadata": { "examples_seen": "Input: 78 33\nOutput: 45\n\nInput: 110 12\nOutput: 98\n\nInput: 136 46\nOutput: 90\n\nInput: 133 56\nOutput: 77\n\nInput: 73 14\nOutput: 59" } }, "14": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 37 18\nOutput: 19\n\nInput: 65 11\nOutput: 54\n\nInput: 103 37\nOutput: 66\n\nInput: 87 26\nOutput: 61\n\nInput: 66 16\nOutput: 50\n\nThe instruction was", "metadata": { "examples_seen": "Input: 37 18\nOutput: 19\n\nInput: 65 11\nOutput: 54\n\nInput: 103 37\nOutput: 66\n\nInput: 87 26\nOutput: 61\n\nInput: 66 16\nOutput: 50" } }, "15": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 120 52\nOutput: 68\n\nInput: 157 61\nOutput: 96\n\nInput: 109 14\nOutput: 95\n\nInput: 108 12\nOutput: 96\n\nInput: 84 26\nOutput: 58\n\nThe instruction was", "metadata": { "examples_seen": "Input: 120 52\nOutput: 68\n\nInput: 157 61\nOutput: 96\n\nInput: 109 14\nOutput: 95\n\nInput: 108 12\nOutput: 96\n\nInput: 84 26\nOutput: 58" } }, "16": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 151 63\nOutput: 88\n\nInput: 108 14\nOutput: 94\n\nInput: 31 9\nOutput: 22\n\nInput: 158 69\nOutput: 89\n\nInput: 131 65\nOutput: 66\n\nThe instruction was", "metadata": { "examples_seen": "Input: 151 63\nOutput: 88\n\nInput: 108 14\nOutput: 94\n\nInput: 31 9\nOutput: 22\n\nInput: 158 69\nOutput: 89\n\nInput: 131 65\nOutput: 66" } }, "17": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 82 31\nOutput: 51\n\nInput: 50 25\nOutput: 25\n\nInput: 112 19\nOutput: 93\n\nInput: 177 82\nOutput: 95\n\nInput: 95 26\nOutput: 69\n\nThe instruction was", "metadata": { "examples_seen": "Input: 82 31\nOutput: 51\n\nInput: 50 25\nOutput: 25\n\nInput: 112 19\nOutput: 93\n\nInput: 177 82\nOutput: 95\n\nInput: 95 26\nOutput: 69" } }, "18": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 79 11\nOutput: 68\n\nInput: 80 15\nOutput: 65\n\nInput: 40 10\nOutput: 30\n\nInput: 61 2\nOutput: 59\n\nInput: 84 8\nOutput: 76\n\nThe instruction was", "metadata": { "examples_seen": "Input: 79 11\nOutput: 68\n\nInput: 80 15\nOutput: 65\n\nInput: 40 10\nOutput: 30\n\nInput: 61 2\nOutput: 59\n\nInput: 84 8\nOutput: 76" } }, "19": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 110 38\nOutput: 72\n\nInput: 58 8\nOutput: 50\n\nInput: 146 55\nOutput: 91\n\nInput: 109 18\nOutput: 91\n\nInput: 63 18\nOutput: 45\n\nThe instruction was", "metadata": { "examples_seen": "Input: 110 38\nOutput: 72\n\nInput: 58 8\nOutput: 50\n\nInput: 146 55\nOutput: 91\n\nInput: 109 18\nOutput: 91\n\nInput: 63 18\nOutput: 45" } }, "20": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 127 55\nOutput: 72\n\nInput: 83 32\nOutput: 51\n\nInput: 37 12\nOutput: 25\n\nInput: 32 2\nOutput: 30\n\nInput: 125 40\nOutput: 85\n\nThe instruction was", "metadata": { "examples_seen": "Input: 127 55\nOutput: 72\n\nInput: 83 32\nOutput: 51\n\nInput: 37 12\nOutput: 25\n\nInput: 32 2\nOutput: 30\n\nInput: 125 40\nOutput: 85" } }, "21": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 57 27\nOutput: 30\n\nInput: 42 19\nOutput: 23\n\nInput: 141 65\nOutput: 76\n\nInput: 93 25\nOutput: 68\n\nInput: 134 37\nOutput: 97\n\nThe instruction was", "metadata": { "examples_seen": "Input: 57 27\nOutput: 30\n\nInput: 42 19\nOutput: 23\n\nInput: 141 65\nOutput: 76\n\nInput: 93 25\nOutput: 68\n\nInput: 134 37\nOutput: 97" } }, "22": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 79 32\nOutput: 47\n\nInput: 164 74\nOutput: 90\n\nInput: 114 57\nOutput: 57\n\nInput: 72 23\nOutput: 49\n\nInput: 99 19\nOutput: 80\n\nThe instruction was", "metadata": { "examples_seen": "Input: 79 32\nOutput: 47\n\nInput: 164 74\nOutput: 90\n\nInput: 114 57\nOutput: 57\n\nInput: 72 23\nOutput: 49\n\nInput: 99 19\nOutput: 80" } }, "23": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 109 44\nOutput: 65\n\nInput: 119 46\nOutput: 73\n\nInput: 69 28\nOutput: 41\n\nInput: 173 76\nOutput: 97\n\nInput: 114 15\nOutput: 99\n\nThe instruction was", "metadata": { "examples_seen": "Input: 109 44\nOutput: 65\n\nInput: 119 46\nOutput: 73\n\nInput: 69 28\nOutput: 41\n\nInput: 173 76\nOutput: 97\n\nInput: 114 15\nOutput: 99" } }, "24": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 62 3\nOutput: 59\n\nInput: 81 33\nOutput: 48\n\nInput: 103 16\nOutput: 87\n\nInput: 134 53\nOutput: 81\n\nInput: 132 52\nOutput: 80\n\nThe instruction was", "metadata": { "examples_seen": "Input: 62 3\nOutput: 59\n\nInput: 81 33\nOutput: 48\n\nInput: 103 16\nOutput: 87\n\nInput: 134 53\nOutput: 81\n\nInput: 132 52\nOutput: 80" } }, "25": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 41 0\nOutput: 41\n\nInput: 130 58\nOutput: 72\n\nInput: 77 4\nOutput: 73\n\nInput: 132 39\nOutput: 93\n\nInput: 128 33\nOutput: 95\n\nThe instruction was", "metadata": { "examples_seen": "Input: 41 0\nOutput: 41\n\nInput: 130 58\nOutput: 72\n\nInput: 77 4\nOutput: 73\n\nInput: 132 39\nOutput: 93\n\nInput: 128 33\nOutput: 95" } }, "26": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 29 11\nOutput: 18\n\nInput: 48 20\nOutput: 28\n\nInput: 141 68\nOutput: 73\n\nInput: 98 45\nOutput: 53\n\nInput: 63 10\nOutput: 53\n\nThe instruction was", "metadata": { "examples_seen": "Input: 29 11\nOutput: 18\n\nInput: 48 20\nOutput: 28\n\nInput: 141 68\nOutput: 73\n\nInput: 98 45\nOutput: 53\n\nInput: 63 10\nOutput: 53" } }, "27": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 36 18\nOutput: 18\n\nInput: 188 91\nOutput: 97\n\nInput: 105 41\nOutput: 64\n\nInput: 120 43\nOutput: 77\n\nInput: 80 27\nOutput: 53\n\nThe instruction was", "metadata": { "examples_seen": "Input: 36 18\nOutput: 18\n\nInput: 188 91\nOutput: 97\n\nInput: 105 41\nOutput: 64\n\nInput: 120 43\nOutput: 77\n\nInput: 80 27\nOutput: 53" } }, "28": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 103 35\nOutput: 68\n\nInput: 68 1\nOutput: 67\n\nInput: 145 59\nOutput: 86\n\nInput: 140 55\nOutput: 85\n\nInput: 166 79\nOutput: 87\n\nThe instruction was", "metadata": { "examples_seen": "Input: 103 35\nOutput: 68\n\nInput: 68 1\nOutput: 67\n\nInput: 145 59\nOutput: 86\n\nInput: 140 55\nOutput: 85\n\nInput: 166 79\nOutput: 87" } }, "29": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 161 65\nOutput: 96\n\nInput: 46 20\nOutput: 26\n\nInput: 179 84\nOutput: 95\n\nInput: 81 25\nOutput: 56\n\nInput: 124 56\nOutput: 68\n\nThe instruction was", "metadata": { "examples_seen": "Input: 161 65\nOutput: 96\n\nInput: 46 20\nOutput: 26\n\nInput: 179 84\nOutput: 95\n\nInput: 81 25\nOutput: 56\n\nInput: 124 56\nOutput: 68" } }, "30": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 114 37\nOutput: 77\n\nInput: 62 22\nOutput: 40\n\nInput: 44 22\nOutput: 22\n\nInput: 74 9\nOutput: 65\n\nInput: 58 11\nOutput: 47\n\nThe instruction was", "metadata": { "examples_seen": "Input: 114 37\nOutput: 77\n\nInput: 62 22\nOutput: 40\n\nInput: 44 22\nOutput: 22\n\nInput: 74 9\nOutput: 65\n\nInput: 58 11\nOutput: 47" } }, "31": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 123 60\nOutput: 63\n\nInput: 54 8\nOutput: 46\n\nInput: 50 1\nOutput: 49\n\nInput: 82 40\nOutput: 42\n\nInput: 86 6\nOutput: 80\n\nThe instruction was", "metadata": { "examples_seen": "Input: 123 60\nOutput: 63\n\nInput: 54 8\nOutput: 46\n\nInput: 50 1\nOutput: 49\n\nInput: 82 40\nOutput: 42\n\nInput: 86 6\nOutput: 80" } }, "32": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 49 23\nOutput: 26\n\nInput: 19 2\nOutput: 17\n\nInput: 138 44\nOutput: 94\n\nInput: 72 2\nOutput: 70\n\nInput: 81 40\nOutput: 41\n\nThe instruction was", "metadata": { "examples_seen": "Input: 49 23\nOutput: 26\n\nInput: 19 2\nOutput: 17\n\nInput: 138 44\nOutput: 94\n\nInput: 72 2\nOutput: 70\n\nInput: 81 40\nOutput: 41" } }, "33": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 113 38\nOutput: 75\n\nInput: 88 6\nOutput: 82\n\nInput: 85 30\nOutput: 55\n\nInput: 133 59\nOutput: 74\n\nInput: 38 6\nOutput: 32\n\nThe instruction was", "metadata": { "examples_seen": "Input: 113 38\nOutput: 75\n\nInput: 88 6\nOutput: 82\n\nInput: 85 30\nOutput: 55\n\nInput: 133 59\nOutput: 74\n\nInput: 38 6\nOutput: 32" } }, "34": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 129 57\nOutput: 72\n\nInput: 39 1\nOutput: 38\n\nInput: 78 3\nOutput: 75\n\nInput: 86 42\nOutput: 44\n\nInput: 156 74\nOutput: 82\n\nThe instruction was", "metadata": { "examples_seen": "Input: 129 57\nOutput: 72\n\nInput: 39 1\nOutput: 38\n\nInput: 78 3\nOutput: 75\n\nInput: 86 42\nOutput: 44\n\nInput: 156 74\nOutput: 82" } }, "35": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 153 71\nOutput: 82\n\nInput: 99 2\nOutput: 97\n\nInput: 8 2\nOutput: 6\n\nInput: 34 15\nOutput: 19\n\nInput: 144 47\nOutput: 97\n\nThe instruction was", "metadata": { "examples_seen": "Input: 153 71\nOutput: 82\n\nInput: 99 2\nOutput: 97\n\nInput: 8 2\nOutput: 6\n\nInput: 34 15\nOutput: 19\n\nInput: 144 47\nOutput: 97" } }, "36": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 92 13\nOutput: 79\n\nInput: 72 36\nOutput: 36\n\nInput: 92 3\nOutput: 89\n\nInput: 62 12\nOutput: 50\n\nInput: 46 23\nOutput: 23\n\nThe instruction was", "metadata": { "examples_seen": "Input: 92 13\nOutput: 79\n\nInput: 72 36\nOutput: 36\n\nInput: 92 3\nOutput: 89\n\nInput: 62 12\nOutput: 50\n\nInput: 46 23\nOutput: 23" } }, "37": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 77 33\nOutput: 44\n\nInput: 149 58\nOutput: 91\n\nInput: 148 54\nOutput: 94\n\nInput: 109 38\nOutput: 71\n\nInput: 115 19\nOutput: 96\n\nThe instruction was", "metadata": { "examples_seen": "Input: 77 33\nOutput: 44\n\nInput: 149 58\nOutput: 91\n\nInput: 148 54\nOutput: 94\n\nInput: 109 38\nOutput: 71\n\nInput: 115 19\nOutput: 96" } }, "38": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 70 16\nOutput: 54\n\nInput: 177 88\nOutput: 89\n\nInput: 41 12\nOutput: 29\n\nInput: 98 25\nOutput: 73\n\nInput: 21 9\nOutput: 12\n\nThe instruction was", "metadata": { "examples_seen": "Input: 70 16\nOutput: 54\n\nInput: 177 88\nOutput: 89\n\nInput: 41 12\nOutput: 29\n\nInput: 98 25\nOutput: 73\n\nInput: 21 9\nOutput: 12" } }, "39": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 14 1\nOutput: 13\n\nInput: 63 31\nOutput: 32\n\nInput: 119 52\nOutput: 67\n\nInput: 110 53\nOutput: 57\n\nInput: 71 8\nOutput: 63\n\nThe instruction was", "metadata": { "examples_seen": "Input: 14 1\nOutput: 13\n\nInput: 63 31\nOutput: 32\n\nInput: 119 52\nOutput: 67\n\nInput: 110 53\nOutput: 57\n\nInput: 71 8\nOutput: 63" } }, "40": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 114 35\nOutput: 79\n\nInput: 119 22\nOutput: 97\n\nInput: 99 3\nOutput: 96\n\nInput: 66 13\nOutput: 53\n\nInput: 108 38\nOutput: 70\n\nThe instruction was", "metadata": { "examples_seen": "Input: 114 35\nOutput: 79\n\nInput: 119 22\nOutput: 97\n\nInput: 99 3\nOutput: 96\n\nInput: 66 13\nOutput: 53\n\nInput: 108 38\nOutput: 70" } }, "41": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 148 62\nOutput: 86\n\nInput: 93 17\nOutput: 76\n\nInput: 69 24\nOutput: 45\n\nInput: 12 3\nOutput: 9\n\nInput: 123 27\nOutput: 96\n\nThe instruction was", "metadata": { "examples_seen": "Input: 148 62\nOutput: 86\n\nInput: 93 17\nOutput: 76\n\nInput: 69 24\nOutput: 45\n\nInput: 12 3\nOutput: 9\n\nInput: 123 27\nOutput: 96" } }, "42": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 118 37\nOutput: 81\n\nInput: 85 0\nOutput: 85\n\nInput: 93 34\nOutput: 59\n\nInput: 49 13\nOutput: 36\n\nInput: 137 58\nOutput: 79\n\nThe instruction was", "metadata": { "examples_seen": "Input: 118 37\nOutput: 81\n\nInput: 85 0\nOutput: 85\n\nInput: 93 34\nOutput: 59\n\nInput: 49 13\nOutput: 36\n\nInput: 137 58\nOutput: 79" } }, "43": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 59 12\nOutput: 47\n\nInput: 61 17\nOutput: 44\n\nInput: 176 82\nOutput: 94\n\nInput: 103 48\nOutput: 55\n\nInput: 67 2\nOutput: 65\n\nThe instruction was", "metadata": { "examples_seen": "Input: 59 12\nOutput: 47\n\nInput: 61 17\nOutput: 44\n\nInput: 176 82\nOutput: 94\n\nInput: 103 48\nOutput: 55\n\nInput: 67 2\nOutput: 65" } }, "44": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 60 28\nOutput: 32\n\nInput: 82 36\nOutput: 46\n\nInput: 122 33\nOutput: 89\n\nInput: 131 48\nOutput: 83\n\nInput: 99 36\nOutput: 63\n\nThe instruction was", "metadata": { "examples_seen": "Input: 60 28\nOutput: 32\n\nInput: 82 36\nOutput: 46\n\nInput: 122 33\nOutput: 89\n\nInput: 131 48\nOutput: 83\n\nInput: 99 36\nOutput: 63" } }, "45": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 97 23\nOutput: 74\n\nInput: 33 10\nOutput: 23\n\nInput: 71 5\nOutput: 66\n\nInput: 75 11\nOutput: 64\n\nInput: 89 35\nOutput: 54\n\nThe instruction was", "metadata": { "examples_seen": "Input: 97 23\nOutput: 74\n\nInput: 33 10\nOutput: 23\n\nInput: 71 5\nOutput: 66\n\nInput: 75 11\nOutput: 64\n\nInput: 89 35\nOutput: 54" } }, "46": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 135 60\nOutput: 75\n\nInput: 152 67\nOutput: 85\n\nInput: 69 11\nOutput: 58\n\nInput: 117 26\nOutput: 91\n\nInput: 151 71\nOutput: 80\n\nThe instruction was", "metadata": { "examples_seen": "Input: 135 60\nOutput: 75\n\nInput: 152 67\nOutput: 85\n\nInput: 69 11\nOutput: 58\n\nInput: 117 26\nOutput: 91\n\nInput: 151 71\nOutput: 80" } }, "47": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 153 70\nOutput: 83\n\nInput: 37 1\nOutput: 36\n\nInput: 146 57\nOutput: 89\n\nInput: 85 26\nOutput: 59\n\nInput: 154 72\nOutput: 82\n\nThe instruction was", "metadata": { "examples_seen": "Input: 153 70\nOutput: 83\n\nInput: 37 1\nOutput: 36\n\nInput: 146 57\nOutput: 89\n\nInput: 85 26\nOutput: 59\n\nInput: 154 72\nOutput: 82" } }, "48": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 164 71\nOutput: 93\n\nInput: 133 47\nOutput: 86\n\nInput: 150 61\nOutput: 89\n\nInput: 180 84\nOutput: 96\n\nInput: 82 17\nOutput: 65\n\nThe instruction was", "metadata": { "examples_seen": "Input: 164 71\nOutput: 93\n\nInput: 133 47\nOutput: 86\n\nInput: 150 61\nOutput: 89\n\nInput: 180 84\nOutput: 96\n\nInput: 82 17\nOutput: 65" } }, "49": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 149 59\nOutput: 90\n\nInput: 72 11\nOutput: 61\n\nInput: 144 64\nOutput: 80\n\nInput: 39 14\nOutput: 25\n\nInput: 109 53\nOutput: 56\n\nThe instruction was", "metadata": { "examples_seen": "Input: 149 59\nOutput: 90\n\nInput: 72 11\nOutput: 61\n\nInput: 144 64\nOutput: 80\n\nInput: 39 14\nOutput: 25\n\nInput: 109 53\nOutput: 56" } }, "50": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 56 14\nOutput: 42\n\nInput: 33 11\nOutput: 22\n\nInput: 72 0\nOutput: 72\n\nInput: 31 5\nOutput: 26\n\nInput: 127 40\nOutput: 87\n\nThe instruction was", "metadata": { "examples_seen": "Input: 56 14\nOutput: 42\n\nInput: 33 11\nOutput: 22\n\nInput: 72 0\nOutput: 72\n\nInput: 31 5\nOutput: 26\n\nInput: 127 40\nOutput: 87" } }, "51": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 22 3\nOutput: 19\n\nInput: 179 85\nOutput: 94\n\nInput: 131 42\nOutput: 89\n\nInput: 167 74\nOutput: 93\n\nInput: 101 21\nOutput: 80\n\nThe instruction was", "metadata": { "examples_seen": "Input: 22 3\nOutput: 19\n\nInput: 179 85\nOutput: 94\n\nInput: 131 42\nOutput: 89\n\nInput: 167 74\nOutput: 93\n\nInput: 101 21\nOutput: 80" } }, "52": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 125 27\nOutput: 98\n\nInput: 129 54\nOutput: 75\n\nInput: 167 72\nOutput: 95\n\nInput: 108 34\nOutput: 74\n\nInput: 97 6\nOutput: 91\n\nThe instruction was", "metadata": { "examples_seen": "Input: 125 27\nOutput: 98\n\nInput: 129 54\nOutput: 75\n\nInput: 167 72\nOutput: 95\n\nInput: 108 34\nOutput: 74\n\nInput: 97 6\nOutput: 91" } }, "53": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 167 82\nOutput: 85\n\nInput: 56 4\nOutput: 52\n\nInput: 128 40\nOutput: 88\n\nInput: 77 36\nOutput: 41\n\nInput: 46 9\nOutput: 37\n\nThe instruction was", "metadata": { "examples_seen": "Input: 167 82\nOutput: 85\n\nInput: 56 4\nOutput: 52\n\nInput: 128 40\nOutput: 88\n\nInput: 77 36\nOutput: 41\n\nInput: 46 9\nOutput: 37" } }, "54": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 179 86\nOutput: 93\n\nInput: 88 44\nOutput: 44\n\nInput: 25 8\nOutput: 17\n\nInput: 130 40\nOutput: 90\n\nInput: 113 44\nOutput: 69\n\nThe instruction was", "metadata": { "examples_seen": "Input: 179 86\nOutput: 93\n\nInput: 88 44\nOutput: 44\n\nInput: 25 8\nOutput: 17\n\nInput: 130 40\nOutput: 90\n\nInput: 113 44\nOutput: 69" } }, "55": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 123 39\nOutput: 84\n\nInput: 94 31\nOutput: 63\n\nInput: 127 55\nOutput: 72\n\nInput: 101 11\nOutput: 90\n\nInput: 116 24\nOutput: 92\n\nThe instruction was", "metadata": { "examples_seen": "Input: 123 39\nOutput: 84\n\nInput: 94 31\nOutput: 63\n\nInput: 127 55\nOutput: 72\n\nInput: 101 11\nOutput: 90\n\nInput: 116 24\nOutput: 92" } }, "56": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 74 13\nOutput: 61\n\nInput: 124 32\nOutput: 92\n\nInput: 48 0\nOutput: 48\n\nInput: 163 65\nOutput: 98\n\nInput: 175 85\nOutput: 90\n\nThe instruction was", "metadata": { "examples_seen": "Input: 74 13\nOutput: 61\n\nInput: 124 32\nOutput: 92\n\nInput: 48 0\nOutput: 48\n\nInput: 163 65\nOutput: 98\n\nInput: 175 85\nOutput: 90" } }, "57": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 94 7\nOutput: 87\n\nInput: 144 65\nOutput: 79\n\nInput: 138 53\nOutput: 85\n\nInput: 142 54\nOutput: 88\n\nInput: 52 6\nOutput: 46\n\nThe instruction was", "metadata": { "examples_seen": "Input: 94 7\nOutput: 87\n\nInput: 144 65\nOutput: 79\n\nInput: 138 53\nOutput: 85\n\nInput: 142 54\nOutput: 88\n\nInput: 52 6\nOutput: 46" } }, "58": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 164 74\nOutput: 90\n\nInput: 34 16\nOutput: 18\n\nInput: 26 5\nOutput: 21\n\nInput: 36 12\nOutput: 24\n\nInput: 19 9\nOutput: 10\n\nThe instruction was", "metadata": { "examples_seen": "Input: 164 74\nOutput: 90\n\nInput: 34 16\nOutput: 18\n\nInput: 26 5\nOutput: 21\n\nInput: 36 12\nOutput: 24\n\nInput: 19 9\nOutput: 10" } }, "59": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 111 20\nOutput: 91\n\nInput: 122 25\nOutput: 97\n\nInput: 74 19\nOutput: 55\n\nInput: 24 11\nOutput: 13\n\nInput: 165 67\nOutput: 98\n\nThe instruction was", "metadata": { "examples_seen": "Input: 111 20\nOutput: 91\n\nInput: 122 25\nOutput: 97\n\nInput: 74 19\nOutput: 55\n\nInput: 24 11\nOutput: 13\n\nInput: 165 67\nOutput: 98" } }, "60": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 89 7\nOutput: 82\n\nInput: 127 31\nOutput: 96\n\nInput: 38 15\nOutput: 23\n\nInput: 81 40\nOutput: 41\n\nInput: 56 10\nOutput: 46\n\nThe instruction was", "metadata": { "examples_seen": "Input: 89 7\nOutput: 82\n\nInput: 127 31\nOutput: 96\n\nInput: 38 15\nOutput: 23\n\nInput: 81 40\nOutput: 41\n\nInput: 56 10\nOutput: 46" } }, "61": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 160 80\nOutput: 80\n\nInput: 174 84\nOutput: 90\n\nInput: 62 25\nOutput: 37\n\nInput: 124 28\nOutput: 96\n\nInput: 138 61\nOutput: 77\n\nThe instruction was", "metadata": { "examples_seen": "Input: 160 80\nOutput: 80\n\nInput: 174 84\nOutput: 90\n\nInput: 62 25\nOutput: 37\n\nInput: 124 28\nOutput: 96\n\nInput: 138 61\nOutput: 77" } }, "62": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 60 12\nOutput: 48\n\nInput: 80 6\nOutput: 74\n\nInput: 163 64\nOutput: 99\n\nInput: 48 7\nOutput: 41\n\nInput: 67 20\nOutput: 47\n\nThe instruction was", "metadata": { "examples_seen": "Input: 60 12\nOutput: 48\n\nInput: 80 6\nOutput: 74\n\nInput: 163 64\nOutput: 99\n\nInput: 48 7\nOutput: 41\n\nInput: 67 20\nOutput: 47" } }, "63": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 90 31\nOutput: 59\n\nInput: 73 17\nOutput: 56\n\nInput: 49 9\nOutput: 40\n\nInput: 130 46\nOutput: 84\n\nInput: 13 2\nOutput: 11\n\nThe instruction was", "metadata": { "examples_seen": "Input: 90 31\nOutput: 59\n\nInput: 73 17\nOutput: 56\n\nInput: 49 9\nOutput: 40\n\nInput: 130 46\nOutput: 84\n\nInput: 13 2\nOutput: 11" } }, "64": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 74 37\nOutput: 37\n\nInput: 83 16\nOutput: 67\n\nInput: 89 32\nOutput: 57\n\nInput: 114 32\nOutput: 82\n\nInput: 125 30\nOutput: 95\n\nThe instruction was", "metadata": { "examples_seen": "Input: 74 37\nOutput: 37\n\nInput: 83 16\nOutput: 67\n\nInput: 89 32\nOutput: 57\n\nInput: 114 32\nOutput: 82\n\nInput: 125 30\nOutput: 95" } }, "65": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 90 34\nOutput: 56\n\nInput: 166 79\nOutput: 87\n\nInput: 122 59\nOutput: 63\n\nInput: 105 25\nOutput: 80\n\nInput: 69 11\nOutput: 58\n\nThe instruction was", "metadata": { "examples_seen": "Input: 90 34\nOutput: 56\n\nInput: 166 79\nOutput: 87\n\nInput: 122 59\nOutput: 63\n\nInput: 105 25\nOutput: 80\n\nInput: 69 11\nOutput: 58" } }, "66": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 177 83\nOutput: 94\n\nInput: 13 6\nOutput: 7\n\nInput: 59 12\nOutput: 47\n\nInput: 172 75\nOutput: 97\n\nInput: 32 11\nOutput: 21\n\nThe instruction was", "metadata": { "examples_seen": "Input: 177 83\nOutput: 94\n\nInput: 13 6\nOutput: 7\n\nInput: 59 12\nOutput: 47\n\nInput: 172 75\nOutput: 97\n\nInput: 32 11\nOutput: 21" } }, "67": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 29 9\nOutput: 20\n\nInput: 145 47\nOutput: 98\n\nInput: 67 24\nOutput: 43\n\nInput: 50 21\nOutput: 29\n\nInput: 55 11\nOutput: 44\n\nThe instruction was", "metadata": { "examples_seen": "Input: 29 9\nOutput: 20\n\nInput: 145 47\nOutput: 98\n\nInput: 67 24\nOutput: 43\n\nInput: 50 21\nOutput: 29\n\nInput: 55 11\nOutput: 44" } }, "68": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 67 24\nOutput: 43\n\nInput: 81 27\nOutput: 54\n\nInput: 106 8\nOutput: 98\n\nInput: 138 40\nOutput: 98\n\nInput: 174 80\nOutput: 94\n\nThe instruction was", "metadata": { "examples_seen": "Input: 67 24\nOutput: 43\n\nInput: 81 27\nOutput: 54\n\nInput: 106 8\nOutput: 98\n\nInput: 138 40\nOutput: 98\n\nInput: 174 80\nOutput: 94" } }, "69": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 89 29\nOutput: 60\n\nInput: 84 21\nOutput: 63\n\nInput: 99 3\nOutput: 96\n\nInput: 40 19\nOutput: 21\n\nInput: 82 41\nOutput: 41\n\nThe instruction was", "metadata": { "examples_seen": "Input: 89 29\nOutput: 60\n\nInput: 84 21\nOutput: 63\n\nInput: 99 3\nOutput: 96\n\nInput: 40 19\nOutput: 21\n\nInput: 82 41\nOutput: 41" } }, "70": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 90 13\nOutput: 77\n\nInput: 145 69\nOutput: 76\n\nInput: 133 60\nOutput: 73\n\nInput: 120 52\nOutput: 68\n\nInput: 92 9\nOutput: 83\n\nThe instruction was", "metadata": { "examples_seen": "Input: 90 13\nOutput: 77\n\nInput: 145 69\nOutput: 76\n\nInput: 133 60\nOutput: 73\n\nInput: 120 52\nOutput: 68\n\nInput: 92 9\nOutput: 83" } }, "71": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 174 80\nOutput: 94\n\nInput: 137 45\nOutput: 92\n\nInput: 54 7\nOutput: 47\n\nInput: 54 1\nOutput: 53\n\nInput: 156 77\nOutput: 79\n\nThe instruction was", "metadata": { "examples_seen": "Input: 174 80\nOutput: 94\n\nInput: 137 45\nOutput: 92\n\nInput: 54 7\nOutput: 47\n\nInput: 54 1\nOutput: 53\n\nInput: 156 77\nOutput: 79" } }, "72": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 30 12\nOutput: 18\n\nInput: 131 65\nOutput: 66\n\nInput: 108 39\nOutput: 69\n\nInput: 179 89\nOutput: 90\n\nInput: 62 28\nOutput: 34\n\nThe instruction was", "metadata": { "examples_seen": "Input: 30 12\nOutput: 18\n\nInput: 131 65\nOutput: 66\n\nInput: 108 39\nOutput: 69\n\nInput: 179 89\nOutput: 90\n\nInput: 62 28\nOutput: 34" } }, "73": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 46 23\nOutput: 23\n\nInput: 147 65\nOutput: 82\n\nInput: 173 79\nOutput: 94\n\nInput: 121 31\nOutput: 90\n\nInput: 86 37\nOutput: 49\n\nThe instruction was", "metadata": { "examples_seen": "Input: 46 23\nOutput: 23\n\nInput: 147 65\nOutput: 82\n\nInput: 173 79\nOutput: 94\n\nInput: 121 31\nOutput: 90\n\nInput: 86 37\nOutput: 49" } }, "74": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 129 46\nOutput: 83\n\nInput: 142 45\nOutput: 97\n\nInput: 45 0\nOutput: 45\n\nInput: 149 67\nOutput: 82\n\nInput: 102 48\nOutput: 54\n\nThe instruction was", "metadata": { "examples_seen": "Input: 129 46\nOutput: 83\n\nInput: 142 45\nOutput: 97\n\nInput: 45 0\nOutput: 45\n\nInput: 149 67\nOutput: 82\n\nInput: 102 48\nOutput: 54" } }, "75": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 53 12\nOutput: 41\n\nInput: 46 0\nOutput: 46\n\nInput: 44 20\nOutput: 24\n\nInput: 84 39\nOutput: 45\n\nInput: 118 40\nOutput: 78\n\nThe instruction was", "metadata": { "examples_seen": "Input: 53 12\nOutput: 41\n\nInput: 46 0\nOutput: 46\n\nInput: 44 20\nOutput: 24\n\nInput: 84 39\nOutput: 45\n\nInput: 118 40\nOutput: 78" } }, "76": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 65 1\nOutput: 64\n\nInput: 90 40\nOutput: 50\n\nInput: 150 69\nOutput: 81\n\nInput: 87 34\nOutput: 53\n\nInput: 148 69\nOutput: 79\n\nThe instruction was", "metadata": { "examples_seen": "Input: 65 1\nOutput: 64\n\nInput: 90 40\nOutput: 50\n\nInput: 150 69\nOutput: 81\n\nInput: 87 34\nOutput: 53\n\nInput: 148 69\nOutput: 79" } }, "77": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 42 18\nOutput: 24\n\nInput: 96 13\nOutput: 83\n\nInput: 123 39\nOutput: 84\n\nInput: 64 1\nOutput: 63\n\nInput: 97 44\nOutput: 53\n\nThe instruction was", "metadata": { "examples_seen": "Input: 42 18\nOutput: 24\n\nInput: 96 13\nOutput: 83\n\nInput: 123 39\nOutput: 84\n\nInput: 64 1\nOutput: 63\n\nInput: 97 44\nOutput: 53" } }, "78": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 50 17\nOutput: 33\n\nInput: 89 18\nOutput: 71\n\nInput: 155 77\nOutput: 78\n\nInput: 91 43\nOutput: 48\n\nInput: 152 64\nOutput: 88\n\nThe instruction was", "metadata": { "examples_seen": "Input: 50 17\nOutput: 33\n\nInput: 89 18\nOutput: 71\n\nInput: 155 77\nOutput: 78\n\nInput: 91 43\nOutput: 48\n\nInput: 152 64\nOutput: 88" } }, "79": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 22 11\nOutput: 11\n\nInput: 136 67\nOutput: 69\n\nInput: 29 12\nOutput: 17\n\nInput: 139 50\nOutput: 89\n\nInput: 100 23\nOutput: 77\n\nThe instruction was", "metadata": { "examples_seen": "Input: 22 11\nOutput: 11\n\nInput: 136 67\nOutput: 69\n\nInput: 29 12\nOutput: 17\n\nInput: 139 50\nOutput: 89\n\nInput: 100 23\nOutput: 77" } }, "80": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 121 45\nOutput: 76\n\nInput: 102 36\nOutput: 66\n\nInput: 94 9\nOutput: 85\n\nInput: 26 0\nOutput: 26\n\nInput: 92 23\nOutput: 69\n\nThe instruction was", "metadata": { "examples_seen": "Input: 121 45\nOutput: 76\n\nInput: 102 36\nOutput: 66\n\nInput: 94 9\nOutput: 85\n\nInput: 26 0\nOutput: 26\n\nInput: 92 23\nOutput: 69" } }, "81": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 94 36\nOutput: 58\n\nInput: 12 6\nOutput: 6\n\nInput: 81 36\nOutput: 45\n\nInput: 170 85\nOutput: 85\n\nInput: 115 46\nOutput: 69\n\nThe instruction was", "metadata": { "examples_seen": "Input: 94 36\nOutput: 58\n\nInput: 12 6\nOutput: 6\n\nInput: 81 36\nOutput: 45\n\nInput: 170 85\nOutput: 85\n\nInput: 115 46\nOutput: 69" } }, "82": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 164 69\nOutput: 95\n\nInput: 66 30\nOutput: 36\n\nInput: 47 4\nOutput: 43\n\nInput: 76 6\nOutput: 70\n\nInput: 120 50\nOutput: 70\n\nThe instruction was", "metadata": { "examples_seen": "Input: 164 69\nOutput: 95\n\nInput: 66 30\nOutput: 36\n\nInput: 47 4\nOutput: 43\n\nInput: 76 6\nOutput: 70\n\nInput: 120 50\nOutput: 70" } }, "83": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 108 11\nOutput: 97\n\nInput: 148 52\nOutput: 96\n\nInput: 74 16\nOutput: 58\n\nInput: 37 5\nOutput: 32\n\nInput: 160 67\nOutput: 93\n\nThe instruction was", "metadata": { "examples_seen": "Input: 108 11\nOutput: 97\n\nInput: 148 52\nOutput: 96\n\nInput: 74 16\nOutput: 58\n\nInput: 37 5\nOutput: 32\n\nInput: 160 67\nOutput: 93" } }, "84": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 109 32\nOutput: 77\n\nInput: 48 20\nOutput: 28\n\nInput: 107 43\nOutput: 64\n\nInput: 88 21\nOutput: 67\n\nInput: 61 30\nOutput: 31\n\nThe instruction was", "metadata": { "examples_seen": "Input: 109 32\nOutput: 77\n\nInput: 48 20\nOutput: 28\n\nInput: 107 43\nOutput: 64\n\nInput: 88 21\nOutput: 67\n\nInput: 61 30\nOutput: 31" } }, "85": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 51 17\nOutput: 34\n\nInput: 156 60\nOutput: 96\n\nInput: 111 54\nOutput: 57\n\nInput: 158 66\nOutput: 92\n\nInput: 155 59\nOutput: 96\n\nThe instruction was", "metadata": { "examples_seen": "Input: 51 17\nOutput: 34\n\nInput: 156 60\nOutput: 96\n\nInput: 111 54\nOutput: 57\n\nInput: 158 66\nOutput: 92\n\nInput: 155 59\nOutput: 96" } }, "86": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 76 22\nOutput: 54\n\nInput: 80 28\nOutput: 52\n\nInput: 100 49\nOutput: 51\n\nInput: 157 62\nOutput: 95\n\nInput: 39 19\nOutput: 20\n\nThe instruction was", "metadata": { "examples_seen": "Input: 76 22\nOutput: 54\n\nInput: 80 28\nOutput: 52\n\nInput: 100 49\nOutput: 51\n\nInput: 157 62\nOutput: 95\n\nInput: 39 19\nOutput: 20" } }, "87": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 79 2\nOutput: 77\n\nInput: 89 32\nOutput: 57\n\nInput: 36 15\nOutput: 21\n\nInput: 42 1\nOutput: 41\n\nInput: 103 45\nOutput: 58\n\nThe instruction was", "metadata": { "examples_seen": "Input: 79 2\nOutput: 77\n\nInput: 89 32\nOutput: 57\n\nInput: 36 15\nOutput: 21\n\nInput: 42 1\nOutput: 41\n\nInput: 103 45\nOutput: 58" } }, "88": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 143 50\nOutput: 93\n\nInput: 30 11\nOutput: 19\n\nInput: 107 45\nOutput: 62\n\nInput: 66 28\nOutput: 38\n\nInput: 35 16\nOutput: 19\n\nThe instruction was", "metadata": { "examples_seen": "Input: 143 50\nOutput: 93\n\nInput: 30 11\nOutput: 19\n\nInput: 107 45\nOutput: 62\n\nInput: 66 28\nOutput: 38\n\nInput: 35 16\nOutput: 19" } }, "89": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 61 26\nOutput: 35\n\nInput: 154 68\nOutput: 86\n\nInput: 24 7\nOutput: 17\n\nInput: 132 57\nOutput: 75\n\nInput: 124 45\nOutput: 79\n\nThe instruction was", "metadata": { "examples_seen": "Input: 61 26\nOutput: 35\n\nInput: 154 68\nOutput: 86\n\nInput: 24 7\nOutput: 17\n\nInput: 132 57\nOutput: 75\n\nInput: 124 45\nOutput: 79" } }, "90": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 98 22\nOutput: 76\n\nInput: 170 81\nOutput: 89\n\nInput: 118 46\nOutput: 72\n\nInput: 78 8\nOutput: 70\n\nInput: 121 42\nOutput: 79\n\nThe instruction was", "metadata": { "examples_seen": "Input: 98 22\nOutput: 76\n\nInput: 170 81\nOutput: 89\n\nInput: 118 46\nOutput: 72\n\nInput: 78 8\nOutput: 70\n\nInput: 121 42\nOutput: 79" } }, "91": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 117 49\nOutput: 68\n\nInput: 166 69\nOutput: 97\n\nInput: 45 5\nOutput: 40\n\nInput: 106 9\nOutput: 97\n\nInput: 52 4\nOutput: 48\n\nThe instruction was", "metadata": { "examples_seen": "Input: 117 49\nOutput: 68\n\nInput: 166 69\nOutput: 97\n\nInput: 45 5\nOutput: 40\n\nInput: 106 9\nOutput: 97\n\nInput: 52 4\nOutput: 48" } }, "92": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 182 88\nOutput: 94\n\nInput: 129 64\nOutput: 65\n\nInput: 84 18\nOutput: 66\n\nInput: 67 4\nOutput: 63\n\nInput: 127 39\nOutput: 88\n\nThe instruction was", "metadata": { "examples_seen": "Input: 182 88\nOutput: 94\n\nInput: 129 64\nOutput: 65\n\nInput: 84 18\nOutput: 66\n\nInput: 67 4\nOutput: 63\n\nInput: 127 39\nOutput: 88" } }, "93": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 77 24\nOutput: 53\n\nInput: 66 0\nOutput: 66\n\nInput: 77 10\nOutput: 67\n\nInput: 150 72\nOutput: 78\n\nInput: 58 22\nOutput: 36\n\nThe instruction was", "metadata": { "examples_seen": "Input: 77 24\nOutput: 53\n\nInput: 66 0\nOutput: 66\n\nInput: 77 10\nOutput: 67\n\nInput: 150 72\nOutput: 78\n\nInput: 58 22\nOutput: 36" } }, "94": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 68 32\nOutput: 36\n\nInput: 46 4\nOutput: 42\n\nInput: 79 36\nOutput: 43\n\nInput: 163 66\nOutput: 97\n\nInput: 52 7\nOutput: 45\n\nThe instruction was", "metadata": { "examples_seen": "Input: 68 32\nOutput: 36\n\nInput: 46 4\nOutput: 42\n\nInput: 79 36\nOutput: 43\n\nInput: 163 66\nOutput: 97\n\nInput: 52 7\nOutput: 45" } }, "95": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 86 21\nOutput: 65\n\nInput: 115 55\nOutput: 60\n\nInput: 87 41\nOutput: 46\n\nInput: 141 61\nOutput: 80\n\nInput: 52 5\nOutput: 47\n\nThe instruction was", "metadata": { "examples_seen": "Input: 86 21\nOutput: 65\n\nInput: 115 55\nOutput: 60\n\nInput: 87 41\nOutput: 46\n\nInput: 141 61\nOutput: 80\n\nInput: 52 5\nOutput: 47" } }, "96": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 46 19\nOutput: 27\n\nInput: 69 4\nOutput: 65\n\nInput: 54 20\nOutput: 34\n\nInput: 102 14\nOutput: 88\n\nInput: 75 32\nOutput: 43\n\nThe instruction was", "metadata": { "examples_seen": "Input: 46 19\nOutput: 27\n\nInput: 69 4\nOutput: 65\n\nInput: 54 20\nOutput: 34\n\nInput: 102 14\nOutput: 88\n\nInput: 75 32\nOutput: 43" } }, "97": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 193 95\nOutput: 98\n\nInput: 87 9\nOutput: 78\n\nInput: 119 34\nOutput: 85\n\nInput: 108 39\nOutput: 69\n\nInput: 151 62\nOutput: 89\n\nThe instruction was", "metadata": { "examples_seen": "Input: 193 95\nOutput: 98\n\nInput: 87 9\nOutput: 78\n\nInput: 119 34\nOutput: 85\n\nInput: 108 39\nOutput: 69\n\nInput: 151 62\nOutput: 89" } }, "98": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 95 40\nOutput: 55\n\nInput: 103 47\nOutput: 56\n\nInput: 61 23\nOutput: 38\n\nInput: 90 31\nOutput: 59\n\nInput: 134 60\nOutput: 74\n\nThe instruction was", "metadata": { "examples_seen": "Input: 95 40\nOutput: 55\n\nInput: 103 47\nOutput: 56\n\nInput: 61 23\nOutput: 38\n\nInput: 90 31\nOutput: 59\n\nInput: 134 60\nOutput: 74" } }, "99": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 73 15\nOutput: 58\n\nInput: 127 48\nOutput: 79\n\nInput: 118 34\nOutput: 84\n\nInput: 121 23\nOutput: 98\n\nInput: 123 44\nOutput: 79\n\nThe instruction was", "metadata": { "examples_seen": "Input: 73 15\nOutput: 58\n\nInput: 127 48\nOutput: 79\n\nInput: 118 34\nOutput: 84\n\nInput: 121 23\nOutput: 98\n\nInput: 123 44\nOutput: 79" } }, "100": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 150 71\nOutput: 79\n\nInput: 155 69\nOutput: 86\n\nInput: 78 38\nOutput: 40\n\nInput: 68 10\nOutput: 58\n\nInput: 151 58\nOutput: 93\n\nThe instruction was", "metadata": { "examples_seen": "Input: 150 71\nOutput: 79\n\nInput: 155 69\nOutput: 86\n\nInput: 78 38\nOutput: 40\n\nInput: 68 10\nOutput: 58\n\nInput: 151 58\nOutput: 93" } } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/induction_input/first_word_letter.json ================================================ { "examples": { "1": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: blood\nOutput: b\n\nInput: intake\nOutput: i\n\nInput: disk\nOutput: d\n\nInput: machine\nOutput: m\n\nInput: lacrosse\nOutput: l\n\nThe instruction was", "metadata": { "examples_seen": "Input: blood\nOutput: b\n\nInput: intake\nOutput: i\n\nInput: disk\nOutput: d\n\nInput: machine\nOutput: m\n\nInput: lacrosse\nOutput: l" } }, "2": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pace\nOutput: p\n\nInput: highlight\nOutput: h\n\nInput: name\nOutput: n\n\nInput: abortion\nOutput: a\n\nInput: reprise\nOutput: r\n\nThe instruction was", "metadata": { "examples_seen": "Input: pace\nOutput: p\n\nInput: highlight\nOutput: h\n\nInput: name\nOutput: n\n\nInput: abortion\nOutput: a\n\nInput: reprise\nOutput: r" } }, "3": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: particle\nOutput: p\n\nInput: medicine\nOutput: m\n\nInput: chain\nOutput: c\n\nInput: neutrality\nOutput: n\n\nInput: boy\nOutput: b\n\nThe instruction was", "metadata": { "examples_seen": "Input: particle\nOutput: p\n\nInput: medicine\nOutput: m\n\nInput: chain\nOutput: c\n\nInput: neutrality\nOutput: n\n\nInput: boy\nOutput: b" } }, "4": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: teaser\nOutput: t\n\nInput: experiment\nOutput: e\n\nInput: synth\nOutput: s\n\nInput: discretion\nOutput: d\n\nInput: disagreement\nOutput: d\n\nThe instruction was", "metadata": { "examples_seen": "Input: teaser\nOutput: t\n\nInput: experiment\nOutput: e\n\nInput: synth\nOutput: s\n\nInput: discretion\nOutput: d\n\nInput: disagreement\nOutput: d" } }, "5": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: channel\nOutput: c\n\nInput: proclamation\nOutput: p\n\nInput: annexation\nOutput: a\n\nInput: depiction\nOutput: d\n\nInput: anticipation\nOutput: a\n\nThe instruction was", "metadata": { "examples_seen": "Input: channel\nOutput: c\n\nInput: proclamation\nOutput: p\n\nInput: annexation\nOutput: a\n\nInput: depiction\nOutput: d\n\nInput: anticipation\nOutput: a" } }, "6": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: warfare\nOutput: w\n\nInput: experimentation\nOutput: e\n\nInput: struggle\nOutput: s\n\nInput: progression\nOutput: p\n\nInput: routine\nOutput: r\n\nThe instruction was", "metadata": { "examples_seen": "Input: warfare\nOutput: w\n\nInput: experimentation\nOutput: e\n\nInput: struggle\nOutput: s\n\nInput: progression\nOutput: p\n\nInput: routine\nOutput: r" } }, "7": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: minute\nOutput: m\n\nInput: choir\nOutput: c\n\nInput: geology\nOutput: g\n\nInput: coal\nOutput: c\n\nInput: airing\nOutput: a\n\nThe instruction was", "metadata": { "examples_seen": "Input: minute\nOutput: m\n\nInput: choir\nOutput: c\n\nInput: geology\nOutput: g\n\nInput: coal\nOutput: c\n\nInput: airing\nOutput: a" } }, "8": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: transportation\nOutput: t\n\nInput: conquest\nOutput: c\n\nInput: commence\nOutput: c\n\nInput: curve\nOutput: c\n\nInput: software\nOutput: s\n\nThe instruction was", "metadata": { "examples_seen": "Input: transportation\nOutput: t\n\nInput: conquest\nOutput: c\n\nInput: commence\nOutput: c\n\nInput: curve\nOutput: c\n\nInput: software\nOutput: s" } }, "9": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: replay\nOutput: r\n\nInput: bowl\nOutput: b\n\nInput: abolition\nOutput: a\n\nInput: stripe\nOutput: s\n\nInput: musician\nOutput: m\n\nThe instruction was", "metadata": { "examples_seen": "Input: replay\nOutput: r\n\nInput: bowl\nOutput: b\n\nInput: abolition\nOutput: a\n\nInput: stripe\nOutput: s\n\nInput: musician\nOutput: m" } }, "10": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: net\nOutput: n\n\nInput: gravel\nOutput: g\n\nInput: metre\nOutput: m\n\nInput: budget\nOutput: b\n\nInput: cook\nOutput: c\n\nThe instruction was", "metadata": { "examples_seen": "Input: net\nOutput: n\n\nInput: gravel\nOutput: g\n\nInput: metre\nOutput: m\n\nInput: budget\nOutput: b\n\nInput: cook\nOutput: c" } }, "11": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: executive\nOutput: e\n\nInput: front\nOutput: f\n\nInput: station\nOutput: s\n\nInput: magnitude\nOutput: m\n\nInput: hand\nOutput: h\n\nThe instruction was", "metadata": { "examples_seen": "Input: executive\nOutput: e\n\nInput: front\nOutput: f\n\nInput: station\nOutput: s\n\nInput: magnitude\nOutput: m\n\nInput: hand\nOutput: h" } }, "12": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: steam\nOutput: s\n\nInput: equipment\nOutput: e\n\nInput: incarnation\nOutput: i\n\nInput: tackle\nOutput: t\n\nInput: resentment\nOutput: r\n\nThe instruction was", "metadata": { "examples_seen": "Input: steam\nOutput: s\n\nInput: equipment\nOutput: e\n\nInput: incarnation\nOutput: i\n\nInput: tackle\nOutput: t\n\nInput: resentment\nOutput: r" } }, "13": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: drinking\nOutput: d\n\nInput: country\nOutput: c\n\nInput: elbow\nOutput: e\n\nInput: broadcaster\nOutput: b\n\nInput: participation\nOutput: p\n\nThe instruction was", "metadata": { "examples_seen": "Input: drinking\nOutput: d\n\nInput: country\nOutput: c\n\nInput: elbow\nOutput: e\n\nInput: broadcaster\nOutput: b\n\nInput: participation\nOutput: p" } }, "14": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dynasty\nOutput: d\n\nInput: invitation\nOutput: i\n\nInput: reputation\nOutput: r\n\nInput: behavior\nOutput: b\n\nInput: lion\nOutput: l\n\nThe instruction was", "metadata": { "examples_seen": "Input: dynasty\nOutput: d\n\nInput: invitation\nOutput: i\n\nInput: reputation\nOutput: r\n\nInput: behavior\nOutput: b\n\nInput: lion\nOutput: l" } }, "15": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bowler\nOutput: b\n\nInput: fit\nOutput: f\n\nInput: delegate\nOutput: d\n\nInput: moisture\nOutput: m\n\nInput: midway\nOutput: m\n\nThe instruction was", "metadata": { "examples_seen": "Input: bowler\nOutput: b\n\nInput: fit\nOutput: f\n\nInput: delegate\nOutput: d\n\nInput: moisture\nOutput: m\n\nInput: midway\nOutput: m" } }, "16": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: stuff\nOutput: s\n\nInput: airing\nOutput: a\n\nInput: technique\nOutput: t\n\nInput: simulate\nOutput: s\n\nInput: deck\nOutput: d\n\nThe instruction was", "metadata": { "examples_seen": "Input: stuff\nOutput: s\n\nInput: airing\nOutput: a\n\nInput: technique\nOutput: t\n\nInput: simulate\nOutput: s\n\nInput: deck\nOutput: d" } }, "17": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: confession\nOutput: c\n\nInput: securing\nOutput: s\n\nInput: navigation\nOutput: n\n\nInput: pub\nOutput: p\n\nInput: contractor\nOutput: c\n\nThe instruction was", "metadata": { "examples_seen": "Input: confession\nOutput: c\n\nInput: securing\nOutput: s\n\nInput: navigation\nOutput: n\n\nInput: pub\nOutput: p\n\nInput: contractor\nOutput: c" } }, "18": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: backdrop\nOutput: b\n\nInput: handle\nOutput: h\n\nInput: coal\nOutput: c\n\nInput: pointing\nOutput: p\n\nInput: wrestler\nOutput: w\n\nThe instruction was", "metadata": { "examples_seen": "Input: backdrop\nOutput: b\n\nInput: handle\nOutput: h\n\nInput: coal\nOutput: c\n\nInput: pointing\nOutput: p\n\nInput: wrestler\nOutput: w" } }, "19": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: installation\nOutput: i\n\nInput: festival\nOutput: f\n\nInput: intersection\nOutput: i\n\nInput: achievement\nOutput: a\n\nInput: employment\nOutput: e\n\nThe instruction was", "metadata": { "examples_seen": "Input: installation\nOutput: i\n\nInput: festival\nOutput: f\n\nInput: intersection\nOutput: i\n\nInput: achievement\nOutput: a\n\nInput: employment\nOutput: e" } }, "20": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: protest\nOutput: p\n\nInput: viewer\nOutput: v\n\nInput: membrane\nOutput: m\n\nInput: possibility\nOutput: p\n\nInput: skating\nOutput: s\n\nThe instruction was", "metadata": { "examples_seen": "Input: protest\nOutput: p\n\nInput: viewer\nOutput: v\n\nInput: membrane\nOutput: m\n\nInput: possibility\nOutput: p\n\nInput: skating\nOutput: s" } }, "21": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: delay\nOutput: d\n\nInput: reservoir\nOutput: r\n\nInput: visibility\nOutput: v\n\nInput: possibility\nOutput: p\n\nInput: opposition\nOutput: o\n\nThe instruction was", "metadata": { "examples_seen": "Input: delay\nOutput: d\n\nInput: reservoir\nOutput: r\n\nInput: visibility\nOutput: v\n\nInput: possibility\nOutput: p\n\nInput: opposition\nOutput: o" } }, "22": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pipe\nOutput: p\n\nInput: home\nOutput: h\n\nInput: excellence\nOutput: e\n\nInput: infrastructure\nOutput: i\n\nInput: removal\nOutput: r\n\nThe instruction was", "metadata": { "examples_seen": "Input: pipe\nOutput: p\n\nInput: home\nOutput: h\n\nInput: excellence\nOutput: e\n\nInput: infrastructure\nOutput: i\n\nInput: removal\nOutput: r" } }, "23": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: admit\nOutput: a\n\nInput: software\nOutput: s\n\nInput: household\nOutput: h\n\nInput: sanctuary\nOutput: s\n\nInput: literature\nOutput: l\n\nThe instruction was", "metadata": { "examples_seen": "Input: admit\nOutput: a\n\nInput: software\nOutput: s\n\nInput: household\nOutput: h\n\nInput: sanctuary\nOutput: s\n\nInput: literature\nOutput: l" } }, "24": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: interchange\nOutput: i\n\nInput: vaccine\nOutput: v\n\nInput: rest\nOutput: r\n\nInput: soundtrack\nOutput: s\n\nInput: numbering\nOutput: n\n\nThe instruction was", "metadata": { "examples_seen": "Input: interchange\nOutput: i\n\nInput: vaccine\nOutput: v\n\nInput: rest\nOutput: r\n\nInput: soundtrack\nOutput: s\n\nInput: numbering\nOutput: n" } }, "25": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: territory\nOutput: t\n\nInput: feedback\nOutput: f\n\nInput: afternoon\nOutput: a\n\nInput: ride\nOutput: r\n\nInput: volunteer\nOutput: v\n\nThe instruction was", "metadata": { "examples_seen": "Input: territory\nOutput: t\n\nInput: feedback\nOutput: f\n\nInput: afternoon\nOutput: a\n\nInput: ride\nOutput: r\n\nInput: volunteer\nOutput: v" } }, "26": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: livestock\nOutput: l\n\nInput: velocity\nOutput: v\n\nInput: opinion\nOutput: o\n\nInput: case\nOutput: c\n\nInput: stroke\nOutput: s\n\nThe instruction was", "metadata": { "examples_seen": "Input: livestock\nOutput: l\n\nInput: velocity\nOutput: v\n\nInput: opinion\nOutput: o\n\nInput: case\nOutput: c\n\nInput: stroke\nOutput: s" } }, "27": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: output\nOutput: o\n\nInput: bone\nOutput: b\n\nInput: convention\nOutput: c\n\nInput: unemployment\nOutput: u\n\nInput: withdrawal\nOutput: w\n\nThe instruction was", "metadata": { "examples_seen": "Input: output\nOutput: o\n\nInput: bone\nOutput: b\n\nInput: convention\nOutput: c\n\nInput: unemployment\nOutput: u\n\nInput: withdrawal\nOutput: w" } }, "28": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: attack\nOutput: a\n\nInput: mixture\nOutput: m\n\nInput: agenda\nOutput: a\n\nInput: affection\nOutput: a\n\nInput: antagonist\nOutput: a\n\nThe instruction was", "metadata": { "examples_seen": "Input: attack\nOutput: a\n\nInput: mixture\nOutput: m\n\nInput: agenda\nOutput: a\n\nInput: affection\nOutput: a\n\nInput: antagonist\nOutput: a" } }, "29": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: mainstream\nOutput: m\n\nInput: cathedral\nOutput: c\n\nInput: midway\nOutput: m\n\nInput: obstacle\nOutput: o\n\nInput: sensitivity\nOutput: s\n\nThe instruction was", "metadata": { "examples_seen": "Input: mainstream\nOutput: m\n\nInput: cathedral\nOutput: c\n\nInput: midway\nOutput: m\n\nInput: obstacle\nOutput: o\n\nInput: sensitivity\nOutput: s" } }, "30": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: scope\nOutput: s\n\nInput: trail\nOutput: t\n\nInput: rehabilitation\nOutput: r\n\nInput: bar\nOutput: b\n\nInput: consequence\nOutput: c\n\nThe instruction was", "metadata": { "examples_seen": "Input: scope\nOutput: s\n\nInput: trail\nOutput: t\n\nInput: rehabilitation\nOutput: r\n\nInput: bar\nOutput: b\n\nInput: consequence\nOutput: c" } }, "31": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: decision\nOutput: d\n\nInput: harbour\nOutput: h\n\nInput: sale\nOutput: s\n\nInput: mortality\nOutput: m\n\nInput: bravery\nOutput: b\n\nThe instruction was", "metadata": { "examples_seen": "Input: decision\nOutput: d\n\nInput: harbour\nOutput: h\n\nInput: sale\nOutput: s\n\nInput: mortality\nOutput: m\n\nInput: bravery\nOutput: b" } }, "32": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: appeal\nOutput: a\n\nInput: intricate\nOutput: i\n\nInput: dimension\nOutput: d\n\nInput: desk\nOutput: d\n\nInput: salmon\nOutput: s\n\nThe instruction was", "metadata": { "examples_seen": "Input: appeal\nOutput: a\n\nInput: intricate\nOutput: i\n\nInput: dimension\nOutput: d\n\nInput: desk\nOutput: d\n\nInput: salmon\nOutput: s" } }, "33": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: seating\nOutput: s\n\nInput: voice\nOutput: v\n\nInput: synagogue\nOutput: s\n\nInput: pile\nOutput: p\n\nInput: clip\nOutput: c\n\nThe instruction was", "metadata": { "examples_seen": "Input: seating\nOutput: s\n\nInput: voice\nOutput: v\n\nInput: synagogue\nOutput: s\n\nInput: pile\nOutput: p\n\nInput: clip\nOutput: c" } }, "34": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: decade\nOutput: d\n\nInput: certainty\nOutput: c\n\nInput: analysis\nOutput: a\n\nInput: resupply\nOutput: r\n\nInput: symbol\nOutput: s\n\nThe instruction was", "metadata": { "examples_seen": "Input: decade\nOutput: d\n\nInput: certainty\nOutput: c\n\nInput: analysis\nOutput: a\n\nInput: resupply\nOutput: r\n\nInput: symbol\nOutput: s" } }, "35": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: localization\nOutput: l\n\nInput: menu\nOutput: m\n\nInput: crane\nOutput: c\n\nInput: assignment\nOutput: a\n\nInput: critic\nOutput: c\n\nThe instruction was", "metadata": { "examples_seen": "Input: localization\nOutput: l\n\nInput: menu\nOutput: m\n\nInput: crane\nOutput: c\n\nInput: assignment\nOutput: a\n\nInput: critic\nOutput: c" } }, "36": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: shark\nOutput: s\n\nInput: dose\nOutput: d\n\nInput: measurement\nOutput: m\n\nInput: installation\nOutput: i\n\nInput: excuse\nOutput: e\n\nThe instruction was", "metadata": { "examples_seen": "Input: shark\nOutput: s\n\nInput: dose\nOutput: d\n\nInput: measurement\nOutput: m\n\nInput: installation\nOutput: i\n\nInput: excuse\nOutput: e" } }, "37": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: tube\nOutput: t\n\nInput: outcome\nOutput: o\n\nInput: comment\nOutput: c\n\nInput: house\nOutput: h\n\nInput: pride\nOutput: p\n\nThe instruction was", "metadata": { "examples_seen": "Input: tube\nOutput: t\n\nInput: outcome\nOutput: o\n\nInput: comment\nOutput: c\n\nInput: house\nOutput: h\n\nInput: pride\nOutput: p" } }, "38": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: particle\nOutput: p\n\nInput: masterpiece\nOutput: m\n\nInput: pectoral\nOutput: p\n\nInput: pneumonia\nOutput: p\n\nInput: mention\nOutput: m\n\nThe instruction was", "metadata": { "examples_seen": "Input: particle\nOutput: p\n\nInput: masterpiece\nOutput: m\n\nInput: pectoral\nOutput: p\n\nInput: pneumonia\nOutput: p\n\nInput: mention\nOutput: m" } }, "39": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: moisture\nOutput: m\n\nInput: creator\nOutput: c\n\nInput: grammar\nOutput: g\n\nInput: behaviour\nOutput: b\n\nInput: corporation\nOutput: c\n\nThe instruction was", "metadata": { "examples_seen": "Input: moisture\nOutput: m\n\nInput: creator\nOutput: c\n\nInput: grammar\nOutput: g\n\nInput: behaviour\nOutput: b\n\nInput: corporation\nOutput: c" } }, "40": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: mainline\nOutput: m\n\nInput: phenomenon\nOutput: p\n\nInput: transition\nOutput: t\n\nInput: trumpet\nOutput: t\n\nInput: coverage\nOutput: c\n\nThe instruction was", "metadata": { "examples_seen": "Input: mainline\nOutput: m\n\nInput: phenomenon\nOutput: p\n\nInput: transition\nOutput: t\n\nInput: trumpet\nOutput: t\n\nInput: coverage\nOutput: c" } }, "41": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: temperature\nOutput: t\n\nInput: realism\nOutput: r\n\nInput: button\nOutput: b\n\nInput: paperback\nOutput: p\n\nInput: enclosure\nOutput: e\n\nThe instruction was", "metadata": { "examples_seen": "Input: temperature\nOutput: t\n\nInput: realism\nOutput: r\n\nInput: button\nOutput: b\n\nInput: paperback\nOutput: p\n\nInput: enclosure\nOutput: e" } }, "42": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: control\nOutput: c\n\nInput: declaration\nOutput: d\n\nInput: castle\nOutput: c\n\nInput: restaurant\nOutput: r\n\nInput: predecessor\nOutput: p\n\nThe instruction was", "metadata": { "examples_seen": "Input: control\nOutput: c\n\nInput: declaration\nOutput: d\n\nInput: castle\nOutput: c\n\nInput: restaurant\nOutput: r\n\nInput: predecessor\nOutput: p" } }, "43": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: destination\nOutput: d\n\nInput: process\nOutput: p\n\nInput: halftime\nOutput: h\n\nInput: referee\nOutput: r\n\nInput: strength\nOutput: s\n\nThe instruction was", "metadata": { "examples_seen": "Input: destination\nOutput: d\n\nInput: process\nOutput: p\n\nInput: halftime\nOutput: h\n\nInput: referee\nOutput: r\n\nInput: strength\nOutput: s" } }, "44": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: generator\nOutput: g\n\nInput: property\nOutput: p\n\nInput: accommodate\nOutput: a\n\nInput: stake\nOutput: s\n\nInput: morning\nOutput: m\n\nThe instruction was", "metadata": { "examples_seen": "Input: generator\nOutput: g\n\nInput: property\nOutput: p\n\nInput: accommodate\nOutput: a\n\nInput: stake\nOutput: s\n\nInput: morning\nOutput: m" } }, "45": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: mate\nOutput: m\n\nInput: lunch\nOutput: l\n\nInput: west\nOutput: w\n\nInput: community\nOutput: c\n\nInput: aggregator\nOutput: a\n\nThe instruction was", "metadata": { "examples_seen": "Input: mate\nOutput: m\n\nInput: lunch\nOutput: l\n\nInput: west\nOutput: w\n\nInput: community\nOutput: c\n\nInput: aggregator\nOutput: a" } }, "46": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: jumping\nOutput: j\n\nInput: numbering\nOutput: n\n\nInput: privilege\nOutput: p\n\nInput: reputation\nOutput: r\n\nInput: autonomy\nOutput: a\n\nThe instruction was", "metadata": { "examples_seen": "Input: jumping\nOutput: j\n\nInput: numbering\nOutput: n\n\nInput: privilege\nOutput: p\n\nInput: reputation\nOutput: r\n\nInput: autonomy\nOutput: a" } }, "47": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: church\nOutput: c\n\nInput: scouting\nOutput: s\n\nInput: luminosity\nOutput: l\n\nInput: forehead\nOutput: f\n\nInput: body\nOutput: b\n\nThe instruction was", "metadata": { "examples_seen": "Input: church\nOutput: c\n\nInput: scouting\nOutput: s\n\nInput: luminosity\nOutput: l\n\nInput: forehead\nOutput: f\n\nInput: body\nOutput: b" } }, "48": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: quest\nOutput: q\n\nInput: award\nOutput: a\n\nInput: importance\nOutput: i\n\nInput: monastery\nOutput: m\n\nInput: business\nOutput: b\n\nThe instruction was", "metadata": { "examples_seen": "Input: quest\nOutput: q\n\nInput: award\nOutput: a\n\nInput: importance\nOutput: i\n\nInput: monastery\nOutput: m\n\nInput: business\nOutput: b" } }, "49": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: platform\nOutput: p\n\nInput: exhibition\nOutput: e\n\nInput: cassette\nOutput: c\n\nInput: supervision\nOutput: s\n\nInput: exclusion\nOutput: e\n\nThe instruction was", "metadata": { "examples_seen": "Input: platform\nOutput: p\n\nInput: exhibition\nOutput: e\n\nInput: cassette\nOutput: c\n\nInput: supervision\nOutput: s\n\nInput: exclusion\nOutput: e" } }, "50": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: glee\nOutput: g\n\nInput: unrest\nOutput: u\n\nInput: posture\nOutput: p\n\nInput: privilege\nOutput: p\n\nInput: commuter\nOutput: c\n\nThe instruction was", "metadata": { "examples_seen": "Input: glee\nOutput: g\n\nInput: unrest\nOutput: u\n\nInput: posture\nOutput: p\n\nInput: privilege\nOutput: p\n\nInput: commuter\nOutput: c" } }, "51": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: messenger\nOutput: m\n\nInput: martial\nOutput: m\n\nInput: dynasty\nOutput: d\n\nInput: wrist\nOutput: w\n\nInput: association\nOutput: a\n\nThe instruction was", "metadata": { "examples_seen": "Input: messenger\nOutput: m\n\nInput: martial\nOutput: m\n\nInput: dynasty\nOutput: d\n\nInput: wrist\nOutput: w\n\nInput: association\nOutput: a" } }, "52": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: acceleration\nOutput: a\n\nInput: surname\nOutput: s\n\nInput: planning\nOutput: p\n\nInput: margin\nOutput: m\n\nInput: reliability\nOutput: r\n\nThe instruction was", "metadata": { "examples_seen": "Input: acceleration\nOutput: a\n\nInput: surname\nOutput: s\n\nInput: planning\nOutput: p\n\nInput: margin\nOutput: m\n\nInput: reliability\nOutput: r" } }, "53": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: plant\nOutput: p\n\nInput: period\nOutput: p\n\nInput: interaction\nOutput: i\n\nInput: viewer\nOutput: v\n\nInput: concentrate\nOutput: c\n\nThe instruction was", "metadata": { "examples_seen": "Input: plant\nOutput: p\n\nInput: period\nOutput: p\n\nInput: interaction\nOutput: i\n\nInput: viewer\nOutput: v\n\nInput: concentrate\nOutput: c" } }, "54": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: university\nOutput: u\n\nInput: dancer\nOutput: d\n\nInput: molecule\nOutput: m\n\nInput: cash\nOutput: c\n\nInput: flank\nOutput: f\n\nThe instruction was", "metadata": { "examples_seen": "Input: university\nOutput: u\n\nInput: dancer\nOutput: d\n\nInput: molecule\nOutput: m\n\nInput: cash\nOutput: c\n\nInput: flank\nOutput: f" } }, "55": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: trip\nOutput: t\n\nInput: martial\nOutput: m\n\nInput: communist\nOutput: c\n\nInput: concurrency\nOutput: c\n\nInput: chairman\nOutput: c\n\nThe instruction was", "metadata": { "examples_seen": "Input: trip\nOutput: t\n\nInput: martial\nOutput: m\n\nInput: communist\nOutput: c\n\nInput: concurrency\nOutput: c\n\nInput: chairman\nOutput: c" } }, "56": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: base\nOutput: b\n\nInput: cannon\nOutput: c\n\nInput: memoir\nOutput: m\n\nInput: wage\nOutput: w\n\nInput: silent\nOutput: s\n\nThe instruction was", "metadata": { "examples_seen": "Input: base\nOutput: b\n\nInput: cannon\nOutput: c\n\nInput: memoir\nOutput: m\n\nInput: wage\nOutput: w\n\nInput: silent\nOutput: s" } }, "57": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: compare\nOutput: c\n\nInput: peninsula\nOutput: p\n\nInput: spray\nOutput: s\n\nInput: landfall\nOutput: l\n\nInput: biology\nOutput: b\n\nThe instruction was", "metadata": { "examples_seen": "Input: compare\nOutput: c\n\nInput: peninsula\nOutput: p\n\nInput: spray\nOutput: s\n\nInput: landfall\nOutput: l\n\nInput: biology\nOutput: b" } }, "58": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: baseball\nOutput: b\n\nInput: retirement\nOutput: r\n\nInput: globe\nOutput: g\n\nInput: insignia\nOutput: i\n\nInput: homage\nOutput: h\n\nThe instruction was", "metadata": { "examples_seen": "Input: baseball\nOutput: b\n\nInput: retirement\nOutput: r\n\nInput: globe\nOutput: g\n\nInput: insignia\nOutput: i\n\nInput: homage\nOutput: h" } }, "59": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: outlet\nOutput: o\n\nInput: manufacture\nOutput: m\n\nInput: output\nOutput: o\n\nInput: egg\nOutput: e\n\nInput: gradient\nOutput: g\n\nThe instruction was", "metadata": { "examples_seen": "Input: outlet\nOutput: o\n\nInput: manufacture\nOutput: m\n\nInput: output\nOutput: o\n\nInput: egg\nOutput: e\n\nInput: gradient\nOutput: g" } }, "60": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: stomach\nOutput: s\n\nInput: labour\nOutput: l\n\nInput: brass\nOutput: b\n\nInput: illness\nOutput: i\n\nInput: shortstop\nOutput: s\n\nThe instruction was", "metadata": { "examples_seen": "Input: stomach\nOutput: s\n\nInput: labour\nOutput: l\n\nInput: brass\nOutput: b\n\nInput: illness\nOutput: i\n\nInput: shortstop\nOutput: s" } }, "61": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: rate\nOutput: r\n\nInput: destiny\nOutput: d\n\nInput: element\nOutput: e\n\nInput: drink\nOutput: d\n\nInput: tip\nOutput: t\n\nThe instruction was", "metadata": { "examples_seen": "Input: rate\nOutput: r\n\nInput: destiny\nOutput: d\n\nInput: element\nOutput: e\n\nInput: drink\nOutput: d\n\nInput: tip\nOutput: t" } }, "62": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: reactor\nOutput: r\n\nInput: militant\nOutput: m\n\nInput: abortion\nOutput: a\n\nInput: chance\nOutput: c\n\nInput: electricity\nOutput: e\n\nThe instruction was", "metadata": { "examples_seen": "Input: reactor\nOutput: r\n\nInput: militant\nOutput: m\n\nInput: abortion\nOutput: a\n\nInput: chance\nOutput: c\n\nInput: electricity\nOutput: e" } }, "63": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: enhance\nOutput: e\n\nInput: documentation\nOutput: d\n\nInput: dopamine\nOutput: d\n\nInput: merchant\nOutput: m\n\nInput: fundraising\nOutput: f\n\nThe instruction was", "metadata": { "examples_seen": "Input: enhance\nOutput: e\n\nInput: documentation\nOutput: d\n\nInput: dopamine\nOutput: d\n\nInput: merchant\nOutput: m\n\nInput: fundraising\nOutput: f" } }, "64": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: country\nOutput: c\n\nInput: mascot\nOutput: m\n\nInput: prevention\nOutput: p\n\nInput: poster\nOutput: p\n\nInput: delay\nOutput: d\n\nThe instruction was", "metadata": { "examples_seen": "Input: country\nOutput: c\n\nInput: mascot\nOutput: m\n\nInput: prevention\nOutput: p\n\nInput: poster\nOutput: p\n\nInput: delay\nOutput: d" } }, "65": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: basketball\nOutput: b\n\nInput: pose\nOutput: p\n\nInput: availability\nOutput: a\n\nInput: monsoon\nOutput: m\n\nInput: kid\nOutput: k\n\nThe instruction was", "metadata": { "examples_seen": "Input: basketball\nOutput: b\n\nInput: pose\nOutput: p\n\nInput: availability\nOutput: a\n\nInput: monsoon\nOutput: m\n\nInput: kid\nOutput: k" } }, "66": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: incident\nOutput: i\n\nInput: coronation\nOutput: c\n\nInput: exclusion\nOutput: e\n\nInput: label\nOutput: l\n\nInput: sink\nOutput: s\n\nThe instruction was", "metadata": { "examples_seen": "Input: incident\nOutput: i\n\nInput: coronation\nOutput: c\n\nInput: exclusion\nOutput: e\n\nInput: label\nOutput: l\n\nInput: sink\nOutput: s" } }, "67": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: breast\nOutput: b\n\nInput: strip\nOutput: s\n\nInput: hotel\nOutput: h\n\nInput: display\nOutput: d\n\nInput: release\nOutput: r\n\nThe instruction was", "metadata": { "examples_seen": "Input: breast\nOutput: b\n\nInput: strip\nOutput: s\n\nInput: hotel\nOutput: h\n\nInput: display\nOutput: d\n\nInput: release\nOutput: r" } }, "68": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: custody\nOutput: c\n\nInput: recognition\nOutput: r\n\nInput: future\nOutput: f\n\nInput: asylum\nOutput: a\n\nInput: scenario\nOutput: s\n\nThe instruction was", "metadata": { "examples_seen": "Input: custody\nOutput: c\n\nInput: recognition\nOutput: r\n\nInput: future\nOutput: f\n\nInput: asylum\nOutput: a\n\nInput: scenario\nOutput: s" } }, "69": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: devotion\nOutput: d\n\nInput: tunnel\nOutput: t\n\nInput: habitat\nOutput: h\n\nInput: trough\nOutput: t\n\nInput: helium\nOutput: h\n\nThe instruction was", "metadata": { "examples_seen": "Input: devotion\nOutput: d\n\nInput: tunnel\nOutput: t\n\nInput: habitat\nOutput: h\n\nInput: trough\nOutput: t\n\nInput: helium\nOutput: h" } }, "70": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: lover\nOutput: l\n\nInput: call\nOutput: c\n\nInput: survivor\nOutput: s\n\nInput: parrot\nOutput: p\n\nInput: novel\nOutput: n\n\nThe instruction was", "metadata": { "examples_seen": "Input: lover\nOutput: l\n\nInput: call\nOutput: c\n\nInput: survivor\nOutput: s\n\nInput: parrot\nOutput: p\n\nInput: novel\nOutput: n" } }, "71": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: molecule\nOutput: m\n\nInput: experience\nOutput: e\n\nInput: consort\nOutput: c\n\nInput: shopping\nOutput: s\n\nInput: emblem\nOutput: e\n\nThe instruction was", "metadata": { "examples_seen": "Input: molecule\nOutput: m\n\nInput: experience\nOutput: e\n\nInput: consort\nOutput: c\n\nInput: shopping\nOutput: s\n\nInput: emblem\nOutput: e" } }, "72": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: eye\nOutput: e\n\nInput: employer\nOutput: e\n\nInput: showcase\nOutput: s\n\nInput: wreck\nOutput: w\n\nInput: gut\nOutput: g\n\nThe instruction was", "metadata": { "examples_seen": "Input: eye\nOutput: e\n\nInput: employer\nOutput: e\n\nInput: showcase\nOutput: s\n\nInput: wreck\nOutput: w\n\nInput: gut\nOutput: g" } }, "73": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: hunt\nOutput: h\n\nInput: compensation\nOutput: c\n\nInput: aesthetic\nOutput: a\n\nInput: wire\nOutput: w\n\nInput: disruption\nOutput: d\n\nThe instruction was", "metadata": { "examples_seen": "Input: hunt\nOutput: h\n\nInput: compensation\nOutput: c\n\nInput: aesthetic\nOutput: a\n\nInput: wire\nOutput: w\n\nInput: disruption\nOutput: d" } }, "74": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: livestock\nOutput: l\n\nInput: tax\nOutput: t\n\nInput: eligibility\nOutput: e\n\nInput: expand\nOutput: e\n\nInput: demo\nOutput: d\n\nThe instruction was", "metadata": { "examples_seen": "Input: livestock\nOutput: l\n\nInput: tax\nOutput: t\n\nInput: eligibility\nOutput: e\n\nInput: expand\nOutput: e\n\nInput: demo\nOutput: d" } }, "75": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: consort\nOutput: c\n\nInput: bomb\nOutput: b\n\nInput: dozen\nOutput: d\n\nInput: group\nOutput: g\n\nInput: bread\nOutput: b\n\nThe instruction was", "metadata": { "examples_seen": "Input: consort\nOutput: c\n\nInput: bomb\nOutput: b\n\nInput: dozen\nOutput: d\n\nInput: group\nOutput: g\n\nInput: bread\nOutput: b" } }, "76": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: freshwater\nOutput: f\n\nInput: simulate\nOutput: s\n\nInput: comment\nOutput: c\n\nInput: gut\nOutput: g\n\nInput: defense\nOutput: d\n\nThe instruction was", "metadata": { "examples_seen": "Input: freshwater\nOutput: f\n\nInput: simulate\nOutput: s\n\nInput: comment\nOutput: c\n\nInput: gut\nOutput: g\n\nInput: defense\nOutput: d" } }, "77": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: nesting\nOutput: n\n\nInput: premise\nOutput: p\n\nInput: source\nOutput: s\n\nInput: talk\nOutput: t\n\nInput: turmoil\nOutput: t\n\nThe instruction was", "metadata": { "examples_seen": "Input: nesting\nOutput: n\n\nInput: premise\nOutput: p\n\nInput: source\nOutput: s\n\nInput: talk\nOutput: t\n\nInput: turmoil\nOutput: t" } }, "78": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: touchdown\nOutput: t\n\nInput: courtesy\nOutput: c\n\nInput: defeat\nOutput: d\n\nInput: opinion\nOutput: o\n\nInput: escape\nOutput: e\n\nThe instruction was", "metadata": { "examples_seen": "Input: touchdown\nOutput: t\n\nInput: courtesy\nOutput: c\n\nInput: defeat\nOutput: d\n\nInput: opinion\nOutput: o\n\nInput: escape\nOutput: e" } }, "79": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: earth\nOutput: e\n\nInput: membership\nOutput: m\n\nInput: permission\nOutput: p\n\nInput: peace\nOutput: p\n\nInput: granite\nOutput: g\n\nThe instruction was", "metadata": { "examples_seen": "Input: earth\nOutput: e\n\nInput: membership\nOutput: m\n\nInput: permission\nOutput: p\n\nInput: peace\nOutput: p\n\nInput: granite\nOutput: g" } }, "80": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: focus\nOutput: f\n\nInput: assemble\nOutput: a\n\nInput: gate\nOutput: g\n\nInput: liquor\nOutput: l\n\nInput: cassette\nOutput: c\n\nThe instruction was", "metadata": { "examples_seen": "Input: focus\nOutput: f\n\nInput: assemble\nOutput: a\n\nInput: gate\nOutput: g\n\nInput: liquor\nOutput: l\n\nInput: cassette\nOutput: c" } }, "81": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: referee\nOutput: r\n\nInput: battalion\nOutput: b\n\nInput: coordination\nOutput: c\n\nInput: icon\nOutput: i\n\nInput: acquaintance\nOutput: a\n\nThe instruction was", "metadata": { "examples_seen": "Input: referee\nOutput: r\n\nInput: battalion\nOutput: b\n\nInput: coordination\nOutput: c\n\nInput: icon\nOutput: i\n\nInput: acquaintance\nOutput: a" } }, "82": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: foraging\nOutput: f\n\nInput: remix\nOutput: r\n\nInput: chair\nOutput: c\n\nInput: consultant\nOutput: c\n\nInput: chocolate\nOutput: c\n\nThe instruction was", "metadata": { "examples_seen": "Input: foraging\nOutput: f\n\nInput: remix\nOutput: r\n\nInput: chair\nOutput: c\n\nInput: consultant\nOutput: c\n\nInput: chocolate\nOutput: c" } }, "83": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: baseball\nOutput: b\n\nInput: citadel\nOutput: c\n\nInput: puck\nOutput: p\n\nInput: mission\nOutput: m\n\nInput: ministry\nOutput: m\n\nThe instruction was", "metadata": { "examples_seen": "Input: baseball\nOutput: b\n\nInput: citadel\nOutput: c\n\nInput: puck\nOutput: p\n\nInput: mission\nOutput: m\n\nInput: ministry\nOutput: m" } }, "84": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dissatisfaction\nOutput: d\n\nInput: load\nOutput: l\n\nInput: soundtrack\nOutput: s\n\nInput: gesture\nOutput: g\n\nInput: variation\nOutput: v\n\nThe instruction was", "metadata": { "examples_seen": "Input: dissatisfaction\nOutput: d\n\nInput: load\nOutput: l\n\nInput: soundtrack\nOutput: s\n\nInput: gesture\nOutput: g\n\nInput: variation\nOutput: v" } }, "85": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: frontman\nOutput: f\n\nInput: threat\nOutput: t\n\nInput: stiff\nOutput: s\n\nInput: resort\nOutput: r\n\nInput: population\nOutput: p\n\nThe instruction was", "metadata": { "examples_seen": "Input: frontman\nOutput: f\n\nInput: threat\nOutput: t\n\nInput: stiff\nOutput: s\n\nInput: resort\nOutput: r\n\nInput: population\nOutput: p" } }, "86": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: vegetation\nOutput: v\n\nInput: none\nOutput: n\n\nInput: pension\nOutput: p\n\nInput: simulation\nOutput: s\n\nInput: trailer\nOutput: t\n\nThe instruction was", "metadata": { "examples_seen": "Input: vegetation\nOutput: v\n\nInput: none\nOutput: n\n\nInput: pension\nOutput: p\n\nInput: simulation\nOutput: s\n\nInput: trailer\nOutput: t" } }, "87": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: jurisdiction\nOutput: j\n\nInput: exploration\nOutput: e\n\nInput: apology\nOutput: a\n\nInput: acre\nOutput: a\n\nInput: masterpiece\nOutput: m\n\nThe instruction was", "metadata": { "examples_seen": "Input: jurisdiction\nOutput: j\n\nInput: exploration\nOutput: e\n\nInput: apology\nOutput: a\n\nInput: acre\nOutput: a\n\nInput: masterpiece\nOutput: m" } }, "88": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: modeling\nOutput: m\n\nInput: exposure\nOutput: e\n\nInput: screenwriter\nOutput: s\n\nInput: chance\nOutput: c\n\nInput: doorway\nOutput: d\n\nThe instruction was", "metadata": { "examples_seen": "Input: modeling\nOutput: m\n\nInput: exposure\nOutput: e\n\nInput: screenwriter\nOutput: s\n\nInput: chance\nOutput: c\n\nInput: doorway\nOutput: d" } }, "89": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: detention\nOutput: d\n\nInput: word\nOutput: w\n\nInput: baseball\nOutput: b\n\nInput: homosexuality\nOutput: h\n\nInput: shooting\nOutput: s\n\nThe instruction was", "metadata": { "examples_seen": "Input: detention\nOutput: d\n\nInput: word\nOutput: w\n\nInput: baseball\nOutput: b\n\nInput: homosexuality\nOutput: h\n\nInput: shooting\nOutput: s" } }, "90": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: weight\nOutput: w\n\nInput: quest\nOutput: q\n\nInput: theater\nOutput: t\n\nInput: copy\nOutput: c\n\nInput: lent\nOutput: l\n\nThe instruction was", "metadata": { "examples_seen": "Input: weight\nOutput: w\n\nInput: quest\nOutput: q\n\nInput: theater\nOutput: t\n\nInput: copy\nOutput: c\n\nInput: lent\nOutput: l" } }, "91": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: planet\nOutput: p\n\nInput: theater\nOutput: t\n\nInput: tube\nOutput: t\n\nInput: disability\nOutput: d\n\nInput: filming\nOutput: f\n\nThe instruction was", "metadata": { "examples_seen": "Input: planet\nOutput: p\n\nInput: theater\nOutput: t\n\nInput: tube\nOutput: t\n\nInput: disability\nOutput: d\n\nInput: filming\nOutput: f" } }, "92": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bore\nOutput: b\n\nInput: barrage\nOutput: b\n\nInput: dish\nOutput: d\n\nInput: parent\nOutput: p\n\nInput: exit\nOutput: e\n\nThe instruction was", "metadata": { "examples_seen": "Input: bore\nOutput: b\n\nInput: barrage\nOutput: b\n\nInput: dish\nOutput: d\n\nInput: parent\nOutput: p\n\nInput: exit\nOutput: e" } }, "93": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: assertion\nOutput: a\n\nInput: diameter\nOutput: d\n\nInput: populace\nOutput: p\n\nInput: whale\nOutput: w\n\nInput: songwriter\nOutput: s\n\nThe instruction was", "metadata": { "examples_seen": "Input: assertion\nOutput: a\n\nInput: diameter\nOutput: d\n\nInput: populace\nOutput: p\n\nInput: whale\nOutput: w\n\nInput: songwriter\nOutput: s" } }, "94": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dissolution\nOutput: d\n\nInput: terrorist\nOutput: t\n\nInput: viewer\nOutput: v\n\nInput: privacy\nOutput: p\n\nInput: contact\nOutput: c\n\nThe instruction was", "metadata": { "examples_seen": "Input: dissolution\nOutput: d\n\nInput: terrorist\nOutput: t\n\nInput: viewer\nOutput: v\n\nInput: privacy\nOutput: p\n\nInput: contact\nOutput: c" } }, "95": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: barrage\nOutput: b\n\nInput: bench\nOutput: b\n\nInput: cross\nOutput: c\n\nInput: result\nOutput: r\n\nInput: phenomena\nOutput: p\n\nThe instruction was", "metadata": { "examples_seen": "Input: barrage\nOutput: b\n\nInput: bench\nOutput: b\n\nInput: cross\nOutput: c\n\nInput: result\nOutput: r\n\nInput: phenomena\nOutput: p" } }, "96": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: height\nOutput: h\n\nInput: pipe\nOutput: p\n\nInput: battlefield\nOutput: b\n\nInput: plateau\nOutput: p\n\nInput: regard\nOutput: r\n\nThe instruction was", "metadata": { "examples_seen": "Input: height\nOutput: h\n\nInput: pipe\nOutput: p\n\nInput: battlefield\nOutput: b\n\nInput: plateau\nOutput: p\n\nInput: regard\nOutput: r" } }, "97": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: gasoline\nOutput: g\n\nInput: scouting\nOutput: s\n\nInput: exhibition\nOutput: e\n\nInput: farmer\nOutput: f\n\nInput: emission\nOutput: e\n\nThe instruction was", "metadata": { "examples_seen": "Input: gasoline\nOutput: g\n\nInput: scouting\nOutput: s\n\nInput: exhibition\nOutput: e\n\nInput: farmer\nOutput: f\n\nInput: emission\nOutput: e" } }, "98": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: fortress\nOutput: f\n\nInput: routine\nOutput: r\n\nInput: inauguration\nOutput: i\n\nInput: complement\nOutput: c\n\nInput: resort\nOutput: r\n\nThe instruction was", "metadata": { "examples_seen": "Input: fortress\nOutput: f\n\nInput: routine\nOutput: r\n\nInput: inauguration\nOutput: i\n\nInput: complement\nOutput: c\n\nInput: resort\nOutput: r" } }, "99": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: respiratory\nOutput: r\n\nInput: war\nOutput: w\n\nInput: equality\nOutput: e\n\nInput: aluminium\nOutput: a\n\nInput: placement\nOutput: p\n\nThe instruction was", "metadata": { "examples_seen": "Input: respiratory\nOutput: r\n\nInput: war\nOutput: w\n\nInput: equality\nOutput: e\n\nInput: aluminium\nOutput: a\n\nInput: placement\nOutput: p" } }, "100": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: specialist\nOutput: s\n\nInput: product\nOutput: p\n\nInput: group\nOutput: g\n\nInput: intention\nOutput: i\n\nInput: faction\nOutput: f\n\nThe instruction was", "metadata": { "examples_seen": "Input: specialist\nOutput: s\n\nInput: product\nOutput: p\n\nInput: group\nOutput: g\n\nInput: intention\nOutput: i\n\nInput: faction\nOutput: f" } } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/induction_input/informal_to_formal.json ================================================ { "examples": { "1": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I got what you said.\nOutput: I understood you.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I got what you said.\nOutput: I understood you." } }, "2": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: I got what you said.\nOutput: I understood you.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: I got what you said.\nOutput: I understood you." } }, "3": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nThe instruction was", "metadata": { "examples_seen": "Input: This song is fire.\nOutput: This song is incredibly good.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful." } }, "4": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nThe instruction was", "metadata": { "examples_seen": "Input: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered." } }, "5": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: I got what you said.\nOutput: I understood you.\n\nThe instruction was", "metadata": { "examples_seen": "Input: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: I got what you said.\nOutput: I understood you." } }, "6": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated." } }, "7": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nThe instruction was", "metadata": { "examples_seen": "Input: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: She looks like her sister.\nOutput: She resembles her sister." } }, "8": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: I got what you said.\nOutput: I understood you.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: I got what you said.\nOutput: I understood you." } }, "9": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I got what you said.\nOutput: I understood you.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival." } }, "10": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage." } }, "11": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them." } }, "12": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nThe instruction was", "metadata": { "examples_seen": "Input: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper." } }, "13": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: This song is fire.\nOutput: This song is incredibly good." } }, "14": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: This song is fire.\nOutput: This song is incredibly good." } }, "15": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated." } }, "16": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nThe instruction was", "metadata": { "examples_seen": "Input: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered." } }, "17": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nThe instruction was", "metadata": { "examples_seen": "Input: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated." } }, "18": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper." } }, "19": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them." } }, "20": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful." } }, "21": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: She looks like her sister.\nOutput: She resembles her sister." } }, "22": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight." } }, "23": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated." } }, "24": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nThe instruction was", "metadata": { "examples_seen": "Input: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated." } }, "25": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nThe instruction was", "metadata": { "examples_seen": "Input: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful." } }, "26": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered." } }, "27": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them." } }, "28": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: I got what you said.\nOutput: I understood you.\n\nThe instruction was", "metadata": { "examples_seen": "Input: This song is fire.\nOutput: This song is incredibly good.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: I got what you said.\nOutput: I understood you." } }, "29": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: She looks like her sister.\nOutput: She resembles her sister." } }, "30": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nThe instruction was", "metadata": { "examples_seen": "Input: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated." } }, "31": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting." } }, "32": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: She looks like her sister.\nOutput: She resembles her sister." } }, "33": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nThe instruction was", "metadata": { "examples_seen": "Input: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?" } }, "34": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: I got what you said.\nOutput: I understood you.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: I got what you said.\nOutput: I understood you." } }, "35": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: She looks like her sister.\nOutput: She resembles her sister." } }, "36": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them." } }, "37": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper." } }, "38": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I got what you said.\nOutput: I understood you.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I got what you said.\nOutput: I understood you." } }, "39": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: I got what you said.\nOutput: I understood you.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: I got what you said.\nOutput: I understood you." } }, "40": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated." } }, "41": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight." } }, "42": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nThe instruction was", "metadata": { "examples_seen": "Input: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?" } }, "43": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nThe instruction was", "metadata": { "examples_seen": "Input: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated." } }, "44": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting." } }, "45": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: She looks like her sister.\nOutput: She resembles her sister." } }, "46": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: This song is fire.\nOutput: This song is incredibly good." } }, "47": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated." } }, "48": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage." } }, "49": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage." } }, "50": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nThe instruction was", "metadata": { "examples_seen": "Input: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?" } }, "51": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper." } }, "52": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: I got what you said.\nOutput: I understood you.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: I got what you said.\nOutput: I understood you." } }, "53": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nThe instruction was", "metadata": { "examples_seen": "Input: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful." } }, "54": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them." } }, "55": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: She looks like her sister.\nOutput: She resembles her sister." } }, "56": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper." } }, "57": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: She looks like her sister.\nOutput: She resembles her sister." } }, "58": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nThe instruction was", "metadata": { "examples_seen": "Input: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful." } }, "59": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: I got what you said.\nOutput: I understood you.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: I got what you said.\nOutput: I understood you." } }, "60": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper." } }, "61": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them." } }, "62": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated." } }, "63": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nThe instruction was", "metadata": { "examples_seen": "Input: This song is fire.\nOutput: This song is incredibly good.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting." } }, "64": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight." } }, "65": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nThe instruction was", "metadata": { "examples_seen": "Input: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?" } }, "66": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them." } }, "67": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival." } }, "68": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage." } }, "69": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nThe instruction was", "metadata": { "examples_seen": "Input: This song is fire.\nOutput: This song is incredibly good.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight." } }, "70": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I got what you said.\nOutput: I understood you.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful." } }, "71": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: She looks like her sister.\nOutput: She resembles her sister." } }, "72": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival." } }, "73": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I got what you said.\nOutput: I understood you.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage." } }, "74": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival." } }, "75": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful." } }, "76": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated." } }, "77": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful." } }, "78": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated." } }, "79": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: I got what you said.\nOutput: I understood you.\n\nThe instruction was", "metadata": { "examples_seen": "Input: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: I got what you said.\nOutput: I understood you." } }, "80": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful." } }, "81": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nThe instruction was", "metadata": { "examples_seen": "Input: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage." } }, "82": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful." } }, "83": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage." } }, "84": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered." } }, "85": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: I got what you said.\nOutput: I understood you.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: I got what you said.\nOutput: I understood you." } }, "86": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: I can't stand his temper.\nOutput: I cannot tolerate his temper." } }, "87": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nThe instruction was", "metadata": { "examples_seen": "Input: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?" } }, "88": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: This song is fire.\nOutput: This song is incredibly good." } }, "89": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight." } }, "90": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nThe instruction was", "metadata": { "examples_seen": "Input: This song is fire.\nOutput: This song is incredibly good.\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them." } }, "91": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nThe instruction was", "metadata": { "examples_seen": "Input: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: Thanks for your help.\nOutput: Your assistance is much appreciated.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated." } }, "92": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: I got what you said.\nOutput: I understood you.\n\nThe instruction was", "metadata": { "examples_seen": "Input: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: I got what you said.\nOutput: I understood you." } }, "93": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nThe instruction was", "metadata": { "examples_seen": "Input: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?" } }, "94": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nThe instruction was", "metadata": { "examples_seen": "Input: I got what you said.\nOutput: I understood you.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered." } }, "95": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nThe instruction was", "metadata": { "examples_seen": "Input: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?" } }, "96": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: I got what you said.\nOutput: I understood you.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: The whole story was made up.\nOutput: The entire story was fabricated.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nInput: I got what you said.\nOutput: I understood you." } }, "97": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: I think that this is interesting.\nOutput: It is my opinion that this is interesting.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: I considered many approaches.\nOutput: Various approaches were considered." } }, "98": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nThe instruction was", "metadata": { "examples_seen": "Input: I got what you said.\nOutput: I understood you.\n\nInput: See you tonight.\nOutput: I look forward to meeting you tonight.\n\nInput: I can't tell the difference between these two.\nOutput: I find it hard to distinguish between them.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?" } }, "99": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Please call once you get there.\nOutput: Please call upon your arrival.\n\nInput: We don't think it's a good idea to do anything right now.\nOutput: It is suggested that no action should be taken at this stage.\n\nInput: Do you want me to go with you?\nOutput: Shall I accompany you?\n\nInput: The lawyer I met yesterday was helpful. \nOutput: The lawyer whom I met yesterday was helpful.\n\nInput: This song is fire.\nOutput: This song is incredibly good." } }, "100": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: This song is fire.\nOutput: This song is incredibly good.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival.\n\nThe instruction was", "metadata": { "examples_seen": "Input: This song is fire.\nOutput: This song is incredibly good.\n\nInput: Can you do all these tasks?\nOutput: Would you be able to accomplish all these tasks?\n\nInput: I got what you said.\nOutput: I understood you.\n\nInput: She looks like her sister.\nOutput: She resembles her sister.\n\nInput: Please call once you get there.\nOutput: Please call upon your arrival." } } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/induction_input/larger_animal.json ================================================ { "examples": { "1": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: cougar, flea\nOutput: cougar\n\nInput: whale shark, dog\nOutput: whale shark\n\nInput: human, bald eagle\nOutput: human\n\nInput: flea, great white shark\nOutput: great white shark\n\nInput: coyote, tiger\nOutput: tiger\n\nThe instruction was", "metadata": { "examples_seen": "Input: cougar, flea\nOutput: cougar\n\nInput: whale shark, dog\nOutput: whale shark\n\nInput: human, bald eagle\nOutput: human\n\nInput: flea, great white shark\nOutput: great white shark\n\nInput: coyote, tiger\nOutput: tiger" } }, "2": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: labradoodle, chinchilla\nOutput: labradoodle\n\nInput: parrot, chinook\nOutput: chinook\n\nInput: chinook, snail\nOutput: chinook\n\nInput: orangutan, puppy\nOutput: orangutan\n\nInput: pony, goldendoodle\nOutput: pony\n\nThe instruction was", "metadata": { "examples_seen": "Input: labradoodle, chinchilla\nOutput: labradoodle\n\nInput: parrot, chinook\nOutput: chinook\n\nInput: chinook, snail\nOutput: chinook\n\nInput: orangutan, puppy\nOutput: orangutan\n\nInput: pony, goldendoodle\nOutput: pony" } }, "3": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dachshund, cheetah\nOutput: cheetah\n\nInput: raccoon, toy poodle\nOutput: raccoon\n\nInput: swallow, racoon\nOutput: racoon\n\nInput: polar bear, goldendoodle\nOutput: polar bear\n\nInput: bat, cougar\nOutput: cougar\n\nThe instruction was", "metadata": { "examples_seen": "Input: dachshund, cheetah\nOutput: cheetah\n\nInput: raccoon, toy poodle\nOutput: raccoon\n\nInput: swallow, racoon\nOutput: racoon\n\nInput: polar bear, goldendoodle\nOutput: polar bear\n\nInput: bat, cougar\nOutput: cougar" } }, "4": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: elephant, chamois\nOutput: elephant\n\nInput: toy poodle, koi\nOutput: koi\n\nInput: dog, horse\nOutput: horse\n\nInput: chinook, crocodile\nOutput: crocodile\n\nInput: jaguar, common carp\nOutput: jaguar\n\nThe instruction was", "metadata": { "examples_seen": "Input: elephant, chamois\nOutput: elephant\n\nInput: toy poodle, koi\nOutput: koi\n\nInput: dog, horse\nOutput: horse\n\nInput: chinook, crocodile\nOutput: crocodile\n\nInput: jaguar, common carp\nOutput: jaguar" } }, "5": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: crocodile, coyote\nOutput: crocodile\n\nInput: collie, tuna\nOutput: tuna\n\nInput: rabbit, lion\nOutput: lion\n\nInput: raccoon, hippopotamus\nOutput: hippopotamus\n\nInput: killer whale, octopus\nOutput: killer whale\n\nThe instruction was", "metadata": { "examples_seen": "Input: crocodile, coyote\nOutput: crocodile\n\nInput: collie, tuna\nOutput: tuna\n\nInput: rabbit, lion\nOutput: lion\n\nInput: raccoon, hippopotamus\nOutput: hippopotamus\n\nInput: killer whale, octopus\nOutput: killer whale" } }, "6": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: coyote, deer\nOutput: deer\n\nInput: pug, guinea pig\nOutput: pug\n\nInput: giraffe, cat\nOutput: giraffe\n\nInput: gorilla, rabbit\nOutput: gorilla\n\nInput: cougar, collie\nOutput: cougar\n\nThe instruction was", "metadata": { "examples_seen": "Input: coyote, deer\nOutput: deer\n\nInput: pug, guinea pig\nOutput: pug\n\nInput: giraffe, cat\nOutput: giraffe\n\nInput: gorilla, rabbit\nOutput: gorilla\n\nInput: cougar, collie\nOutput: cougar" } }, "7": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: golden retriever, lobster\nOutput: golden retriever\n\nInput: grizzly bear, labradoodle\nOutput: grizzly bear\n\nInput: bat, chinook\nOutput: chinook\n\nInput: toy poodle, poodle\nOutput: poodle\n\nInput: boxer, mosquito\nOutput: boxer\n\nThe instruction was", "metadata": { "examples_seen": "Input: golden retriever, lobster\nOutput: golden retriever\n\nInput: grizzly bear, labradoodle\nOutput: grizzly bear\n\nInput: bat, chinook\nOutput: chinook\n\nInput: toy poodle, poodle\nOutput: poodle\n\nInput: boxer, mosquito\nOutput: boxer" } }, "8": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pelican, rat\nOutput: pelican\n\nInput: donkey, lobster\nOutput: donkey\n\nInput: elephant, ferret\nOutput: elephant\n\nInput: greyhound, common carp\nOutput: greyhound\n\nInput: rat terrier, whale shark\nOutput: whale shark\n\nThe instruction was", "metadata": { "examples_seen": "Input: pelican, rat\nOutput: pelican\n\nInput: donkey, lobster\nOutput: donkey\n\nInput: elephant, ferret\nOutput: elephant\n\nInput: greyhound, common carp\nOutput: greyhound\n\nInput: rat terrier, whale shark\nOutput: whale shark" } }, "9": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: goldendoodle, jaguar\nOutput: jaguar\n\nInput: mule, donkey\nOutput: mule\n\nInput: ferret, koi\nOutput: koi\n\nInput: coyote, orangutan\nOutput: orangutan\n\nInput: chipmunk, cheetah\nOutput: cheetah\n\nThe instruction was", "metadata": { "examples_seen": "Input: goldendoodle, jaguar\nOutput: jaguar\n\nInput: mule, donkey\nOutput: mule\n\nInput: ferret, koi\nOutput: koi\n\nInput: coyote, orangutan\nOutput: orangutan\n\nInput: chipmunk, cheetah\nOutput: cheetah" } }, "10": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: rat terrier, rat\nOutput: rat terrier\n\nInput: lobster, spider\nOutput: lobster\n\nInput: chinook, bear\nOutput: bear\n\nInput: bulldog, ferret\nOutput: bulldog\n\nInput: turtle, flea\nOutput: turtle\n\nThe instruction was", "metadata": { "examples_seen": "Input: rat terrier, rat\nOutput: rat terrier\n\nInput: lobster, spider\nOutput: lobster\n\nInput: chinook, bear\nOutput: bear\n\nInput: bulldog, ferret\nOutput: bulldog\n\nInput: turtle, flea\nOutput: turtle" } }, "11": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: mosquito, coyote\nOutput: coyote\n\nInput: chihuahua, sperm whale\nOutput: sperm whale\n\nInput: largemouth bass, bee\nOutput: largemouth bass\n\nInput: spider, poodle\nOutput: poodle\n\nInput: camel, bat\nOutput: camel\n\nThe instruction was", "metadata": { "examples_seen": "Input: mosquito, coyote\nOutput: coyote\n\nInput: chihuahua, sperm whale\nOutput: sperm whale\n\nInput: largemouth bass, bee\nOutput: largemouth bass\n\nInput: spider, poodle\nOutput: poodle\n\nInput: camel, bat\nOutput: camel" } }, "12": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: collie, cheetah\nOutput: cheetah\n\nInput: bald eagle, sperm whale\nOutput: sperm whale\n\nInput: tiger, racoon\nOutput: tiger\n\nInput: chihuahua, rabbit\nOutput: rabbit\n\nInput: snail, horse\nOutput: horse\n\nThe instruction was", "metadata": { "examples_seen": "Input: collie, cheetah\nOutput: cheetah\n\nInput: bald eagle, sperm whale\nOutput: sperm whale\n\nInput: tiger, racoon\nOutput: tiger\n\nInput: chihuahua, rabbit\nOutput: rabbit\n\nInput: snail, horse\nOutput: horse" } }, "13": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: toy poodle, common carp\nOutput: common carp\n\nInput: gorilla, bald eagle\nOutput: gorilla\n\nInput: crocodile, swallow\nOutput: crocodile\n\nInput: largemouth bass, bear\nOutput: bear\n\nInput: horse, spider\nOutput: horse\n\nThe instruction was", "metadata": { "examples_seen": "Input: toy poodle, common carp\nOutput: common carp\n\nInput: gorilla, bald eagle\nOutput: gorilla\n\nInput: crocodile, swallow\nOutput: crocodile\n\nInput: largemouth bass, bear\nOutput: bear\n\nInput: horse, spider\nOutput: horse" } }, "14": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: goat, poodle\nOutput: goat\n\nInput: dog, moose\nOutput: moose\n\nInput: pit bull, poodle\nOutput: pit bull\n\nInput: human, hummingbird\nOutput: human\n\nInput: camel, racoon\nOutput: camel\n\nThe instruction was", "metadata": { "examples_seen": "Input: goat, poodle\nOutput: goat\n\nInput: dog, moose\nOutput: moose\n\nInput: pit bull, poodle\nOutput: pit bull\n\nInput: human, hummingbird\nOutput: human\n\nInput: camel, racoon\nOutput: camel" } }, "15": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bull shark, labradoodle\nOutput: bull shark\n\nInput: elephant, poodle\nOutput: elephant\n\nInput: liger, rat\nOutput: liger\n\nInput: toy poodle, poodle\nOutput: poodle\n\nInput: cheetah, swallow\nOutput: cheetah\n\nThe instruction was", "metadata": { "examples_seen": "Input: bull shark, labradoodle\nOutput: bull shark\n\nInput: elephant, poodle\nOutput: elephant\n\nInput: liger, rat\nOutput: liger\n\nInput: toy poodle, poodle\nOutput: poodle\n\nInput: cheetah, swallow\nOutput: cheetah" } }, "16": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: hummingbird, polar bear\nOutput: polar bear\n\nInput: goldendoodle, killer whale\nOutput: killer whale\n\nInput: goat, largemouth bass\nOutput: goat\n\nInput: lobster, sea lion\nOutput: sea lion\n\nInput: donkey, rat terrier\nOutput: donkey\n\nThe instruction was", "metadata": { "examples_seen": "Input: hummingbird, polar bear\nOutput: polar bear\n\nInput: goldendoodle, killer whale\nOutput: killer whale\n\nInput: goat, largemouth bass\nOutput: goat\n\nInput: lobster, sea lion\nOutput: sea lion\n\nInput: donkey, rat terrier\nOutput: donkey" } }, "17": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: guinea pig, whale shark\nOutput: whale shark\n\nInput: grizzly bear, puppy\nOutput: grizzly bear\n\nInput: chipmunk, elephant\nOutput: elephant\n\nInput: bat, chinook\nOutput: chinook\n\nInput: pelican, wildebeest\nOutput: wildebeest\n\nThe instruction was", "metadata": { "examples_seen": "Input: guinea pig, whale shark\nOutput: whale shark\n\nInput: grizzly bear, puppy\nOutput: grizzly bear\n\nInput: chipmunk, elephant\nOutput: elephant\n\nInput: bat, chinook\nOutput: chinook\n\nInput: pelican, wildebeest\nOutput: wildebeest" } }, "18": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: koi, mouse\nOutput: koi\n\nInput: hippopotamus, parrot\nOutput: hippopotamus\n\nInput: hummingbird, hippopotamus\nOutput: hippopotamus\n\nInput: spider, deer\nOutput: deer\n\nInput: shark, rabbit\nOutput: shark\n\nThe instruction was", "metadata": { "examples_seen": "Input: koi, mouse\nOutput: koi\n\nInput: hippopotamus, parrot\nOutput: hippopotamus\n\nInput: hummingbird, hippopotamus\nOutput: hippopotamus\n\nInput: spider, deer\nOutput: deer\n\nInput: shark, rabbit\nOutput: shark" } }, "19": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bald eagle, hummingbird\nOutput: bald eagle\n\nInput: chinchilla, boxer\nOutput: boxer\n\nInput: chamois, bald eagle\nOutput: chamois\n\nInput: mule, koi\nOutput: mule\n\nInput: mouse, octopus\nOutput: octopus\n\nThe instruction was", "metadata": { "examples_seen": "Input: bald eagle, hummingbird\nOutput: bald eagle\n\nInput: chinchilla, boxer\nOutput: boxer\n\nInput: chamois, bald eagle\nOutput: chamois\n\nInput: mule, koi\nOutput: mule\n\nInput: mouse, octopus\nOutput: octopus" } }, "20": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bat, chamois\nOutput: chamois\n\nInput: whale shark, ferret\nOutput: whale shark\n\nInput: grizzly bear, koi\nOutput: grizzly bear\n\nInput: golden retriever, cockapoo\nOutput: golden retriever\n\nInput: mouse, octopus\nOutput: octopus\n\nThe instruction was", "metadata": { "examples_seen": "Input: bat, chamois\nOutput: chamois\n\nInput: whale shark, ferret\nOutput: whale shark\n\nInput: grizzly bear, koi\nOutput: grizzly bear\n\nInput: golden retriever, cockapoo\nOutput: golden retriever\n\nInput: mouse, octopus\nOutput: octopus" } }, "21": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: elephant, puppy\nOutput: elephant\n\nInput: cockapoo, manatee\nOutput: manatee\n\nInput: alpaca, snail\nOutput: alpaca\n\nInput: chipmunk, largemouth bass\nOutput: largemouth bass\n\nInput: ferret, coyote\nOutput: coyote\n\nThe instruction was", "metadata": { "examples_seen": "Input: elephant, puppy\nOutput: elephant\n\nInput: cockapoo, manatee\nOutput: manatee\n\nInput: alpaca, snail\nOutput: alpaca\n\nInput: chipmunk, largemouth bass\nOutput: largemouth bass\n\nInput: ferret, coyote\nOutput: coyote" } }, "22": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: elephant, pug\nOutput: elephant\n\nInput: elephant, ferret\nOutput: elephant\n\nInput: guinea pig, turtle\nOutput: turtle\n\nInput: sheltie, elephant\nOutput: elephant\n\nInput: spider, llama\nOutput: llama\n\nThe instruction was", "metadata": { "examples_seen": "Input: elephant, pug\nOutput: elephant\n\nInput: elephant, ferret\nOutput: elephant\n\nInput: guinea pig, turtle\nOutput: turtle\n\nInput: sheltie, elephant\nOutput: elephant\n\nInput: spider, llama\nOutput: llama" } }, "23": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: butterfly, elephant\nOutput: elephant\n\nInput: dog, llama\nOutput: llama\n\nInput: mosquito, deer\nOutput: deer\n\nInput: butterfly, parrot\nOutput: parrot\n\nInput: greyhound, common carp\nOutput: greyhound\n\nThe instruction was", "metadata": { "examples_seen": "Input: butterfly, elephant\nOutput: elephant\n\nInput: dog, llama\nOutput: llama\n\nInput: mosquito, deer\nOutput: deer\n\nInput: butterfly, parrot\nOutput: parrot\n\nInput: greyhound, common carp\nOutput: greyhound" } }, "24": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: moose, flea\nOutput: moose\n\nInput: dachshund, wild boar\nOutput: wild boar\n\nInput: alpaca, swallow\nOutput: alpaca\n\nInput: koala, swallow\nOutput: koala\n\nInput: lion, pelican\nOutput: lion\n\nThe instruction was", "metadata": { "examples_seen": "Input: moose, flea\nOutput: moose\n\nInput: dachshund, wild boar\nOutput: wild boar\n\nInput: alpaca, swallow\nOutput: alpaca\n\nInput: koala, swallow\nOutput: koala\n\nInput: lion, pelican\nOutput: lion" } }, "25": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dachshund, capybara\nOutput: capybara\n\nInput: chipmunk, capybara\nOutput: capybara\n\nInput: liger, spider\nOutput: liger\n\nInput: alpaca, mosquito\nOutput: alpaca\n\nInput: parrot, jaguar\nOutput: jaguar\n\nThe instruction was", "metadata": { "examples_seen": "Input: dachshund, capybara\nOutput: capybara\n\nInput: chipmunk, capybara\nOutput: capybara\n\nInput: liger, spider\nOutput: liger\n\nInput: alpaca, mosquito\nOutput: alpaca\n\nInput: parrot, jaguar\nOutput: jaguar" } }, "26": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: tiger, chihuahua\nOutput: tiger\n\nInput: chihuahua, pug\nOutput: pug\n\nInput: wombat, swallow\nOutput: wombat\n\nInput: cattle, cockapoo\nOutput: cattle\n\nInput: wolf, ferret\nOutput: wolf\n\nThe instruction was", "metadata": { "examples_seen": "Input: tiger, chihuahua\nOutput: tiger\n\nInput: chihuahua, pug\nOutput: pug\n\nInput: wombat, swallow\nOutput: wombat\n\nInput: cattle, cockapoo\nOutput: cattle\n\nInput: wolf, ferret\nOutput: wolf" } }, "27": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: snail, mule\nOutput: mule\n\nInput: golden retriever, chipmunk\nOutput: golden retriever\n\nInput: capybara, common carp\nOutput: capybara\n\nInput: racoon, leopard\nOutput: leopard\n\nInput: dachshund, grizzly bear\nOutput: grizzly bear\n\nThe instruction was", "metadata": { "examples_seen": "Input: snail, mule\nOutput: mule\n\nInput: golden retriever, chipmunk\nOutput: golden retriever\n\nInput: capybara, common carp\nOutput: capybara\n\nInput: racoon, leopard\nOutput: leopard\n\nInput: dachshund, grizzly bear\nOutput: grizzly bear" } }, "28": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: camel, swallow\nOutput: camel\n\nInput: chipmunk, polar bear\nOutput: polar bear\n\nInput: bull shark, labradoodle\nOutput: bull shark\n\nInput: octopus, shark\nOutput: shark\n\nInput: deer, goldendoodle\nOutput: deer\n\nThe instruction was", "metadata": { "examples_seen": "Input: camel, swallow\nOutput: camel\n\nInput: chipmunk, polar bear\nOutput: polar bear\n\nInput: bull shark, labradoodle\nOutput: bull shark\n\nInput: octopus, shark\nOutput: shark\n\nInput: deer, goldendoodle\nOutput: deer" } }, "29": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bull shark, pelican\nOutput: bull shark\n\nInput: wildebeest, chihuahua\nOutput: wildebeest\n\nInput: common carp, horse\nOutput: horse\n\nInput: liger, mouse\nOutput: liger\n\nInput: rabbit, leopard\nOutput: leopard\n\nThe instruction was", "metadata": { "examples_seen": "Input: bull shark, pelican\nOutput: bull shark\n\nInput: wildebeest, chihuahua\nOutput: wildebeest\n\nInput: common carp, horse\nOutput: horse\n\nInput: liger, mouse\nOutput: liger\n\nInput: rabbit, leopard\nOutput: leopard" } }, "30": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: chipmunk, giraffe\nOutput: giraffe\n\nInput: hummingbird, chinook\nOutput: chinook\n\nInput: bald eagle, sea lion\nOutput: sea lion\n\nInput: human, donkey\nOutput: human\n\nInput: pit bull, bald eagle\nOutput: pit bull\n\nThe instruction was", "metadata": { "examples_seen": "Input: chipmunk, giraffe\nOutput: giraffe\n\nInput: hummingbird, chinook\nOutput: chinook\n\nInput: bald eagle, sea lion\nOutput: sea lion\n\nInput: human, donkey\nOutput: human\n\nInput: pit bull, bald eagle\nOutput: pit bull" } }, "31": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: whale shark, racoon\nOutput: whale shark\n\nInput: human, collie\nOutput: human\n\nInput: manatee, labradoodle\nOutput: manatee\n\nInput: snail, labradoodle\nOutput: labradoodle\n\nInput: beagle, cheetah\nOutput: cheetah\n\nThe instruction was", "metadata": { "examples_seen": "Input: whale shark, racoon\nOutput: whale shark\n\nInput: human, collie\nOutput: human\n\nInput: manatee, labradoodle\nOutput: manatee\n\nInput: snail, labradoodle\nOutput: labradoodle\n\nInput: beagle, cheetah\nOutput: cheetah" } }, "32": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: goldendoodle, greyhound\nOutput: greyhound\n\nInput: alpaca, parrot\nOutput: alpaca\n\nInput: rat, koi\nOutput: koi\n\nInput: bat, chimpanzee\nOutput: chimpanzee\n\nInput: spider, chamois\nOutput: chamois\n\nThe instruction was", "metadata": { "examples_seen": "Input: goldendoodle, greyhound\nOutput: greyhound\n\nInput: alpaca, parrot\nOutput: alpaca\n\nInput: rat, koi\nOutput: koi\n\nInput: bat, chimpanzee\nOutput: chimpanzee\n\nInput: spider, chamois\nOutput: chamois" } }, "33": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: wildebeest, puppy\nOutput: wildebeest\n\nInput: polar bear, octopus\nOutput: polar bear\n\nInput: giraffe, largemouth bass\nOutput: giraffe\n\nInput: polar bear, butterfly\nOutput: polar bear\n\nInput: pug, bat\nOutput: pug\n\nThe instruction was", "metadata": { "examples_seen": "Input: wildebeest, puppy\nOutput: wildebeest\n\nInput: polar bear, octopus\nOutput: polar bear\n\nInput: giraffe, largemouth bass\nOutput: giraffe\n\nInput: polar bear, butterfly\nOutput: polar bear\n\nInput: pug, bat\nOutput: pug" } }, "34": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: moose, sheltie\nOutput: moose\n\nInput: rat terrier, crocodile\nOutput: crocodile\n\nInput: hippopotamus, parrot\nOutput: hippopotamus\n\nInput: largemouth bass, chamois\nOutput: chamois\n\nInput: chihuahua, octopus\nOutput: octopus\n\nThe instruction was", "metadata": { "examples_seen": "Input: moose, sheltie\nOutput: moose\n\nInput: rat terrier, crocodile\nOutput: crocodile\n\nInput: hippopotamus, parrot\nOutput: hippopotamus\n\nInput: largemouth bass, chamois\nOutput: chamois\n\nInput: chihuahua, octopus\nOutput: octopus" } }, "35": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: manatee, rat\nOutput: manatee\n\nInput: elephant, snail\nOutput: elephant\n\nInput: liger, beagle\nOutput: liger\n\nInput: collie, liger\nOutput: liger\n\nInput: dachshund, cheetah\nOutput: cheetah\n\nThe instruction was", "metadata": { "examples_seen": "Input: manatee, rat\nOutput: manatee\n\nInput: elephant, snail\nOutput: elephant\n\nInput: liger, beagle\nOutput: liger\n\nInput: collie, liger\nOutput: liger\n\nInput: dachshund, cheetah\nOutput: cheetah" } }, "36": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: jaguar, donkey\nOutput: jaguar\n\nInput: sperm whale, labradoodle\nOutput: sperm whale\n\nInput: guinea pig, wildebeest\nOutput: wildebeest\n\nInput: dog, elephant\nOutput: elephant\n\nInput: whale shark, cockapoo\nOutput: whale shark\n\nThe instruction was", "metadata": { "examples_seen": "Input: jaguar, donkey\nOutput: jaguar\n\nInput: sperm whale, labradoodle\nOutput: sperm whale\n\nInput: guinea pig, wildebeest\nOutput: wildebeest\n\nInput: dog, elephant\nOutput: elephant\n\nInput: whale shark, cockapoo\nOutput: whale shark" } }, "37": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: rat terrier, octopus\nOutput: octopus\n\nInput: ferret, capybara\nOutput: capybara\n\nInput: wildebeest, dachshund\nOutput: wildebeest\n\nInput: guinea pig, shark\nOutput: shark\n\nInput: grizzly bear, rabbit\nOutput: grizzly bear\n\nThe instruction was", "metadata": { "examples_seen": "Input: rat terrier, octopus\nOutput: octopus\n\nInput: ferret, capybara\nOutput: capybara\n\nInput: wildebeest, dachshund\nOutput: wildebeest\n\nInput: guinea pig, shark\nOutput: shark\n\nInput: grizzly bear, rabbit\nOutput: grizzly bear" } }, "38": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: goldendoodle, cougar\nOutput: cougar\n\nInput: guinea pig, crocodile\nOutput: crocodile\n\nInput: cougar, butterfly\nOutput: cougar\n\nInput: spider, boxer\nOutput: boxer\n\nInput: golden retriever, beagle\nOutput: golden retriever\n\nThe instruction was", "metadata": { "examples_seen": "Input: goldendoodle, cougar\nOutput: cougar\n\nInput: guinea pig, crocodile\nOutput: crocodile\n\nInput: cougar, butterfly\nOutput: cougar\n\nInput: spider, boxer\nOutput: boxer\n\nInput: golden retriever, beagle\nOutput: golden retriever" } }, "39": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: coyote, wombat\nOutput: wombat\n\nInput: flea, elephant\nOutput: elephant\n\nInput: snail, crocodile\nOutput: crocodile\n\nInput: greyhound, parrot\nOutput: greyhound\n\nInput: killer whale, goldfish\nOutput: killer whale\n\nThe instruction was", "metadata": { "examples_seen": "Input: coyote, wombat\nOutput: wombat\n\nInput: flea, elephant\nOutput: elephant\n\nInput: snail, crocodile\nOutput: crocodile\n\nInput: greyhound, parrot\nOutput: greyhound\n\nInput: killer whale, goldfish\nOutput: killer whale" } }, "40": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: chinchilla, donkey\nOutput: donkey\n\nInput: mosquito, coyote\nOutput: coyote\n\nInput: sturgeon, largemouth bass\nOutput: sturgeon\n\nInput: wild boar, mosquito\nOutput: wild boar\n\nInput: wild boar, racoon\nOutput: wild boar\n\nThe instruction was", "metadata": { "examples_seen": "Input: chinchilla, donkey\nOutput: donkey\n\nInput: mosquito, coyote\nOutput: coyote\n\nInput: sturgeon, largemouth bass\nOutput: sturgeon\n\nInput: wild boar, mosquito\nOutput: wild boar\n\nInput: wild boar, racoon\nOutput: wild boar" } }, "41": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: human, flea\nOutput: human\n\nInput: lobster, turtle\nOutput: turtle\n\nInput: octopus, horse\nOutput: horse\n\nInput: goldfish, great white shark\nOutput: great white shark\n\nInput: toy poodle, pony\nOutput: pony\n\nThe instruction was", "metadata": { "examples_seen": "Input: human, flea\nOutput: human\n\nInput: lobster, turtle\nOutput: turtle\n\nInput: octopus, horse\nOutput: horse\n\nInput: goldfish, great white shark\nOutput: great white shark\n\nInput: toy poodle, pony\nOutput: pony" } }, "42": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: goldfish, tiger\nOutput: tiger\n\nInput: capybara, toy poodle\nOutput: capybara\n\nInput: beagle, chamois\nOutput: chamois\n\nInput: cattle, snail\nOutput: cattle\n\nInput: bee, pug\nOutput: pug\n\nThe instruction was", "metadata": { "examples_seen": "Input: goldfish, tiger\nOutput: tiger\n\nInput: capybara, toy poodle\nOutput: capybara\n\nInput: beagle, chamois\nOutput: chamois\n\nInput: cattle, snail\nOutput: cattle\n\nInput: bee, pug\nOutput: pug" } }, "43": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: cat, leopard\nOutput: leopard\n\nInput: greyhound, common carp\nOutput: greyhound\n\nInput: wolf, coyote\nOutput: wolf\n\nInput: horse, spider\nOutput: horse\n\nInput: bull shark, raccoon\nOutput: bull shark\n\nThe instruction was", "metadata": { "examples_seen": "Input: cat, leopard\nOutput: leopard\n\nInput: greyhound, common carp\nOutput: greyhound\n\nInput: wolf, coyote\nOutput: wolf\n\nInput: horse, spider\nOutput: horse\n\nInput: bull shark, raccoon\nOutput: bull shark" } }, "44": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: chinook, elk\nOutput: elk\n\nInput: chinook, moose\nOutput: moose\n\nInput: rat terrier, mosquito\nOutput: rat terrier\n\nInput: bulldog, mouse\nOutput: bulldog\n\nInput: koala, pit bull\nOutput: pit bull\n\nThe instruction was", "metadata": { "examples_seen": "Input: chinook, elk\nOutput: elk\n\nInput: chinook, moose\nOutput: moose\n\nInput: rat terrier, mosquito\nOutput: rat terrier\n\nInput: bulldog, mouse\nOutput: bulldog\n\nInput: koala, pit bull\nOutput: pit bull" } }, "45": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bat, gorilla\nOutput: gorilla\n\nInput: rat, great white shark\nOutput: great white shark\n\nInput: collie, bee\nOutput: collie\n\nInput: cat, bat\nOutput: cat\n\nInput: octopus, chinchilla\nOutput: octopus\n\nThe instruction was", "metadata": { "examples_seen": "Input: bat, gorilla\nOutput: gorilla\n\nInput: rat, great white shark\nOutput: great white shark\n\nInput: collie, bee\nOutput: collie\n\nInput: cat, bat\nOutput: cat\n\nInput: octopus, chinchilla\nOutput: octopus" } }, "46": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: llama, beagle\nOutput: llama\n\nInput: mule, chinook\nOutput: mule\n\nInput: chipmunk, shark\nOutput: shark\n\nInput: sheltie, deer\nOutput: deer\n\nInput: beagle, sea lion\nOutput: sea lion\n\nThe instruction was", "metadata": { "examples_seen": "Input: llama, beagle\nOutput: llama\n\nInput: mule, chinook\nOutput: mule\n\nInput: chipmunk, shark\nOutput: shark\n\nInput: sheltie, deer\nOutput: deer\n\nInput: beagle, sea lion\nOutput: sea lion" } }, "47": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: chamois, moose\nOutput: moose\n\nInput: human, dachshund\nOutput: human\n\nInput: donkey, polar bear\nOutput: polar bear\n\nInput: wolf, lobster\nOutput: wolf\n\nInput: crocodile, swallow\nOutput: crocodile\n\nThe instruction was", "metadata": { "examples_seen": "Input: chamois, moose\nOutput: moose\n\nInput: human, dachshund\nOutput: human\n\nInput: donkey, polar bear\nOutput: polar bear\n\nInput: wolf, lobster\nOutput: wolf\n\nInput: crocodile, swallow\nOutput: crocodile" } }, "48": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: mouse, camel\nOutput: camel\n\nInput: hummingbird, beagle\nOutput: beagle\n\nInput: rat terrier, pony\nOutput: pony\n\nInput: hippopotamus, spider\nOutput: hippopotamus\n\nInput: ferret, turtle\nOutput: turtle\n\nThe instruction was", "metadata": { "examples_seen": "Input: mouse, camel\nOutput: camel\n\nInput: hummingbird, beagle\nOutput: beagle\n\nInput: rat terrier, pony\nOutput: pony\n\nInput: hippopotamus, spider\nOutput: hippopotamus\n\nInput: ferret, turtle\nOutput: turtle" } }, "49": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: butterfly, common carp\nOutput: common carp\n\nInput: flea, octopus\nOutput: octopus\n\nInput: snail, jaguar\nOutput: jaguar\n\nInput: toy poodle, whale shark\nOutput: whale shark\n\nInput: chamois, bald eagle\nOutput: chamois\n\nThe instruction was", "metadata": { "examples_seen": "Input: butterfly, common carp\nOutput: common carp\n\nInput: flea, octopus\nOutput: octopus\n\nInput: snail, jaguar\nOutput: jaguar\n\nInput: toy poodle, whale shark\nOutput: whale shark\n\nInput: chamois, bald eagle\nOutput: chamois" } }, "50": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: killer whale, flea\nOutput: killer whale\n\nInput: koi, elk\nOutput: elk\n\nInput: sperm whale, chamois\nOutput: sperm whale\n\nInput: cattle, rat\nOutput: cattle\n\nInput: human, chinchilla\nOutput: human\n\nThe instruction was", "metadata": { "examples_seen": "Input: killer whale, flea\nOutput: killer whale\n\nInput: koi, elk\nOutput: elk\n\nInput: sperm whale, chamois\nOutput: sperm whale\n\nInput: cattle, rat\nOutput: cattle\n\nInput: human, chinchilla\nOutput: human" } }, "51": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bat, orangutan\nOutput: orangutan\n\nInput: wolf, lobster\nOutput: wolf\n\nInput: camel, chihuahua\nOutput: camel\n\nInput: hippopotamus, koi\nOutput: hippopotamus\n\nInput: sturgeon, hummingbird\nOutput: sturgeon\n\nThe instruction was", "metadata": { "examples_seen": "Input: bat, orangutan\nOutput: orangutan\n\nInput: wolf, lobster\nOutput: wolf\n\nInput: camel, chihuahua\nOutput: camel\n\nInput: hippopotamus, koi\nOutput: hippopotamus\n\nInput: sturgeon, hummingbird\nOutput: sturgeon" } }, "52": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: cattle, mosquito\nOutput: cattle\n\nInput: chihuahua, bull shark\nOutput: bull shark\n\nInput: labradoodle, wombat\nOutput: wombat\n\nInput: puppy, crocodile\nOutput: crocodile\n\nInput: whale shark, rabbit\nOutput: whale shark\n\nThe instruction was", "metadata": { "examples_seen": "Input: cattle, mosquito\nOutput: cattle\n\nInput: chihuahua, bull shark\nOutput: bull shark\n\nInput: labradoodle, wombat\nOutput: wombat\n\nInput: puppy, crocodile\nOutput: crocodile\n\nInput: whale shark, rabbit\nOutput: whale shark" } }, "53": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: labradoodle, gorilla\nOutput: gorilla\n\nInput: rat, chamois\nOutput: chamois\n\nInput: bat, capybara\nOutput: capybara\n\nInput: beagle, wild boar\nOutput: wild boar\n\nInput: guinea pig, largemouth bass\nOutput: largemouth bass\n\nThe instruction was", "metadata": { "examples_seen": "Input: labradoodle, gorilla\nOutput: gorilla\n\nInput: rat, chamois\nOutput: chamois\n\nInput: bat, capybara\nOutput: capybara\n\nInput: beagle, wild boar\nOutput: wild boar\n\nInput: guinea pig, largemouth bass\nOutput: largemouth bass" } }, "54": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: hummingbird, turtle\nOutput: turtle\n\nInput: pug, shark\nOutput: shark\n\nInput: koala, golden retriever\nOutput: golden retriever\n\nInput: mosquito, turtle\nOutput: turtle\n\nInput: chinook, elephant\nOutput: elephant\n\nThe instruction was", "metadata": { "examples_seen": "Input: hummingbird, turtle\nOutput: turtle\n\nInput: pug, shark\nOutput: shark\n\nInput: koala, golden retriever\nOutput: golden retriever\n\nInput: mosquito, turtle\nOutput: turtle\n\nInput: chinook, elephant\nOutput: elephant" } }, "55": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: tiger, chihuahua\nOutput: tiger\n\nInput: chinook, rabbit\nOutput: chinook\n\nInput: sturgeon, coyote\nOutput: sturgeon\n\nInput: bald eagle, rat\nOutput: bald eagle\n\nInput: llama, koala\nOutput: llama\n\nThe instruction was", "metadata": { "examples_seen": "Input: tiger, chihuahua\nOutput: tiger\n\nInput: chinook, rabbit\nOutput: chinook\n\nInput: sturgeon, coyote\nOutput: sturgeon\n\nInput: bald eagle, rat\nOutput: bald eagle\n\nInput: llama, koala\nOutput: llama" } }, "56": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dachshund, bull shark\nOutput: bull shark\n\nInput: sea lion, chinchilla\nOutput: sea lion\n\nInput: butterfly, elk\nOutput: elk\n\nInput: dog, goldfish\nOutput: dog\n\nInput: spider, wild boar\nOutput: wild boar\n\nThe instruction was", "metadata": { "examples_seen": "Input: dachshund, bull shark\nOutput: bull shark\n\nInput: sea lion, chinchilla\nOutput: sea lion\n\nInput: butterfly, elk\nOutput: elk\n\nInput: dog, goldfish\nOutput: dog\n\nInput: spider, wild boar\nOutput: wild boar" } }, "57": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: crocodile, chihuahua\nOutput: crocodile\n\nInput: donkey, koi\nOutput: donkey\n\nInput: orangutan, puppy\nOutput: orangutan\n\nInput: cheetah, spider\nOutput: cheetah\n\nInput: beagle, chihuahua\nOutput: beagle\n\nThe instruction was", "metadata": { "examples_seen": "Input: crocodile, chihuahua\nOutput: crocodile\n\nInput: donkey, koi\nOutput: donkey\n\nInput: orangutan, puppy\nOutput: orangutan\n\nInput: cheetah, spider\nOutput: cheetah\n\nInput: beagle, chihuahua\nOutput: beagle" } }, "58": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: raccoon, wild boar\nOutput: wild boar\n\nInput: lion, alpaca\nOutput: lion\n\nInput: chinchilla, lion\nOutput: lion\n\nInput: labradoodle, turtle\nOutput: turtle\n\nInput: raccoon, golden retriever\nOutput: golden retriever\n\nThe instruction was", "metadata": { "examples_seen": "Input: raccoon, wild boar\nOutput: wild boar\n\nInput: lion, alpaca\nOutput: lion\n\nInput: chinchilla, lion\nOutput: lion\n\nInput: labradoodle, turtle\nOutput: turtle\n\nInput: raccoon, golden retriever\nOutput: golden retriever" } }, "59": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: racoon, cattle\nOutput: cattle\n\nInput: beagle, goat\nOutput: goat\n\nInput: whale shark, ferret\nOutput: whale shark\n\nInput: camel, raccoon\nOutput: camel\n\nInput: mouse, killer whale\nOutput: killer whale\n\nThe instruction was", "metadata": { "examples_seen": "Input: racoon, cattle\nOutput: cattle\n\nInput: beagle, goat\nOutput: goat\n\nInput: whale shark, ferret\nOutput: whale shark\n\nInput: camel, raccoon\nOutput: camel\n\nInput: mouse, killer whale\nOutput: killer whale" } }, "60": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: chamois, koala\nOutput: chamois\n\nInput: lion, koi\nOutput: lion\n\nInput: rat terrier, alpaca\nOutput: alpaca\n\nInput: lion, hummingbird\nOutput: lion\n\nInput: butterfly, hippopotamus\nOutput: hippopotamus\n\nThe instruction was", "metadata": { "examples_seen": "Input: chamois, koala\nOutput: chamois\n\nInput: lion, koi\nOutput: lion\n\nInput: rat terrier, alpaca\nOutput: alpaca\n\nInput: lion, hummingbird\nOutput: lion\n\nInput: butterfly, hippopotamus\nOutput: hippopotamus" } }, "61": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: mule, chinook\nOutput: mule\n\nInput: turtle, spider\nOutput: turtle\n\nInput: cockapoo, llama\nOutput: llama\n\nInput: bat, whale shark\nOutput: whale shark\n\nInput: tortoise, bald eagle\nOutput: tortoise\n\nThe instruction was", "metadata": { "examples_seen": "Input: mule, chinook\nOutput: mule\n\nInput: turtle, spider\nOutput: turtle\n\nInput: cockapoo, llama\nOutput: llama\n\nInput: bat, whale shark\nOutput: whale shark\n\nInput: tortoise, bald eagle\nOutput: tortoise" } }, "62": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: mouse, cat\nOutput: cat\n\nInput: human, spider\nOutput: human\n\nInput: wombat, snail\nOutput: wombat\n\nInput: goldfish, pelican\nOutput: pelican\n\nInput: lion, parrot\nOutput: lion\n\nThe instruction was", "metadata": { "examples_seen": "Input: mouse, cat\nOutput: cat\n\nInput: human, spider\nOutput: human\n\nInput: wombat, snail\nOutput: wombat\n\nInput: goldfish, pelican\nOutput: pelican\n\nInput: lion, parrot\nOutput: lion" } }, "63": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: mosquito, crocodile\nOutput: crocodile\n\nInput: rat terrier, wombat\nOutput: wombat\n\nInput: mule, cat\nOutput: mule\n\nInput: goldendoodle, gorilla\nOutput: gorilla\n\nInput: common carp, boxer\nOutput: boxer\n\nThe instruction was", "metadata": { "examples_seen": "Input: mosquito, crocodile\nOutput: crocodile\n\nInput: rat terrier, wombat\nOutput: wombat\n\nInput: mule, cat\nOutput: mule\n\nInput: goldendoodle, gorilla\nOutput: gorilla\n\nInput: common carp, boxer\nOutput: boxer" } }, "64": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: hummingbird, tuna\nOutput: tuna\n\nInput: llama, chihuahua\nOutput: llama\n\nInput: bald eagle, grizzly bear\nOutput: grizzly bear\n\nInput: raccoon, moose\nOutput: moose\n\nInput: bulldog, rat\nOutput: bulldog\n\nThe instruction was", "metadata": { "examples_seen": "Input: hummingbird, tuna\nOutput: tuna\n\nInput: llama, chihuahua\nOutput: llama\n\nInput: bald eagle, grizzly bear\nOutput: grizzly bear\n\nInput: raccoon, moose\nOutput: moose\n\nInput: bulldog, rat\nOutput: bulldog" } }, "65": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: collie, bulldog\nOutput: bulldog\n\nInput: mosquito, elephant\nOutput: elephant\n\nInput: camel, pug\nOutput: camel\n\nInput: sperm whale, chamois\nOutput: sperm whale\n\nInput: pony, bee\nOutput: pony\n\nThe instruction was", "metadata": { "examples_seen": "Input: collie, bulldog\nOutput: bulldog\n\nInput: mosquito, elephant\nOutput: elephant\n\nInput: camel, pug\nOutput: camel\n\nInput: sperm whale, chamois\nOutput: sperm whale\n\nInput: pony, bee\nOutput: pony" } }, "66": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: parrot, wildebeest\nOutput: wildebeest\n\nInput: great white shark, labradoodle\nOutput: great white shark\n\nInput: rat, polar bear\nOutput: polar bear\n\nInput: octopus, butterfly\nOutput: octopus\n\nInput: crocodile, common carp\nOutput: crocodile\n\nThe instruction was", "metadata": { "examples_seen": "Input: parrot, wildebeest\nOutput: wildebeest\n\nInput: great white shark, labradoodle\nOutput: great white shark\n\nInput: rat, polar bear\nOutput: polar bear\n\nInput: octopus, butterfly\nOutput: octopus\n\nInput: crocodile, common carp\nOutput: crocodile" } }, "67": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: leopard, largemouth bass\nOutput: leopard\n\nInput: sea lion, flea\nOutput: sea lion\n\nInput: parrot, tuna\nOutput: tuna\n\nInput: largemouth bass, bull shark\nOutput: bull shark\n\nInput: dachshund, turtle\nOutput: turtle\n\nThe instruction was", "metadata": { "examples_seen": "Input: leopard, largemouth bass\nOutput: leopard\n\nInput: sea lion, flea\nOutput: sea lion\n\nInput: parrot, tuna\nOutput: tuna\n\nInput: largemouth bass, bull shark\nOutput: bull shark\n\nInput: dachshund, turtle\nOutput: turtle" } }, "68": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: goat, goldendoodle\nOutput: goat\n\nInput: chipmunk, beagle\nOutput: beagle\n\nInput: dachshund, capybara\nOutput: capybara\n\nInput: spider, manatee\nOutput: manatee\n\nInput: cattle, collie\nOutput: cattle\n\nThe instruction was", "metadata": { "examples_seen": "Input: goat, goldendoodle\nOutput: goat\n\nInput: chipmunk, beagle\nOutput: beagle\n\nInput: dachshund, capybara\nOutput: capybara\n\nInput: spider, manatee\nOutput: manatee\n\nInput: cattle, collie\nOutput: cattle" } }, "69": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: rabbit, chipmunk\nOutput: rabbit\n\nInput: racoon, shark\nOutput: shark\n\nInput: tiger, alpaca\nOutput: tiger\n\nInput: llama, bat\nOutput: llama\n\nInput: tuna, chipmunk\nOutput: tuna\n\nThe instruction was", "metadata": { "examples_seen": "Input: rabbit, chipmunk\nOutput: rabbit\n\nInput: racoon, shark\nOutput: shark\n\nInput: tiger, alpaca\nOutput: tiger\n\nInput: llama, bat\nOutput: llama\n\nInput: tuna, chipmunk\nOutput: tuna" } }, "70": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: killer whale, cockapoo\nOutput: killer whale\n\nInput: labradoodle, pit bull\nOutput: pit bull\n\nInput: goat, rat terrier\nOutput: goat\n\nInput: manatee, rat\nOutput: manatee\n\nInput: deer, flea\nOutput: deer\n\nThe instruction was", "metadata": { "examples_seen": "Input: killer whale, cockapoo\nOutput: killer whale\n\nInput: labradoodle, pit bull\nOutput: pit bull\n\nInput: goat, rat terrier\nOutput: goat\n\nInput: manatee, rat\nOutput: manatee\n\nInput: deer, flea\nOutput: deer" } }, "71": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: lion, bald eagle\nOutput: lion\n\nInput: elephant, bald eagle\nOutput: elephant\n\nInput: gorilla, goldfish\nOutput: gorilla\n\nInput: poodle, swallow\nOutput: poodle\n\nInput: coyote, elephant\nOutput: elephant\n\nThe instruction was", "metadata": { "examples_seen": "Input: lion, bald eagle\nOutput: lion\n\nInput: elephant, bald eagle\nOutput: elephant\n\nInput: gorilla, goldfish\nOutput: gorilla\n\nInput: poodle, swallow\nOutput: poodle\n\nInput: coyote, elephant\nOutput: elephant" } }, "72": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: mouse, grizzly bear\nOutput: grizzly bear\n\nInput: goldfish, parrot\nOutput: parrot\n\nInput: liger, spider\nOutput: liger\n\nInput: butterfly, raccoon\nOutput: raccoon\n\nInput: ferret, parrot\nOutput: parrot\n\nThe instruction was", "metadata": { "examples_seen": "Input: mouse, grizzly bear\nOutput: grizzly bear\n\nInput: goldfish, parrot\nOutput: parrot\n\nInput: liger, spider\nOutput: liger\n\nInput: butterfly, raccoon\nOutput: raccoon\n\nInput: ferret, parrot\nOutput: parrot" } }, "73": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: wildebeest, ferret\nOutput: wildebeest\n\nInput: bear, swallow\nOutput: bear\n\nInput: spider, collie\nOutput: collie\n\nInput: puppy, sea lion\nOutput: sea lion\n\nInput: tuna, chinchilla\nOutput: tuna\n\nThe instruction was", "metadata": { "examples_seen": "Input: wildebeest, ferret\nOutput: wildebeest\n\nInput: bear, swallow\nOutput: bear\n\nInput: spider, collie\nOutput: collie\n\nInput: puppy, sea lion\nOutput: sea lion\n\nInput: tuna, chinchilla\nOutput: tuna" } }, "74": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: octopus, liger\nOutput: liger\n\nInput: chinook, chipmunk\nOutput: chinook\n\nInput: donkey, tiger\nOutput: tiger\n\nInput: elephant, octopus\nOutput: elephant\n\nInput: greyhound, mouse\nOutput: greyhound\n\nThe instruction was", "metadata": { "examples_seen": "Input: octopus, liger\nOutput: liger\n\nInput: chinook, chipmunk\nOutput: chinook\n\nInput: donkey, tiger\nOutput: tiger\n\nInput: elephant, octopus\nOutput: elephant\n\nInput: greyhound, mouse\nOutput: greyhound" } }, "75": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: butterfly, killer whale\nOutput: killer whale\n\nInput: cheetah, sheltie\nOutput: cheetah\n\nInput: lion, puppy\nOutput: lion\n\nInput: tortoise, pug\nOutput: tortoise\n\nInput: rat terrier, chinook\nOutput: chinook\n\nThe instruction was", "metadata": { "examples_seen": "Input: butterfly, killer whale\nOutput: killer whale\n\nInput: cheetah, sheltie\nOutput: cheetah\n\nInput: lion, puppy\nOutput: lion\n\nInput: tortoise, pug\nOutput: tortoise\n\nInput: rat terrier, chinook\nOutput: chinook" } }, "76": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: toy poodle, cat\nOutput: cat\n\nInput: llama, koi\nOutput: llama\n\nInput: giraffe, coyote\nOutput: giraffe\n\nInput: chihuahua, racoon\nOutput: racoon\n\nInput: parrot, bat\nOutput: parrot\n\nThe instruction was", "metadata": { "examples_seen": "Input: toy poodle, cat\nOutput: cat\n\nInput: llama, koi\nOutput: llama\n\nInput: giraffe, coyote\nOutput: giraffe\n\nInput: chihuahua, racoon\nOutput: racoon\n\nInput: parrot, bat\nOutput: parrot" } }, "77": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: grizzly bear, goldfish\nOutput: grizzly bear\n\nInput: mule, cockapoo\nOutput: mule\n\nInput: flea, goldendoodle\nOutput: goldendoodle\n\nInput: koala, guinea pig\nOutput: koala\n\nInput: butterfly, parrot\nOutput: parrot\n\nThe instruction was", "metadata": { "examples_seen": "Input: grizzly bear, goldfish\nOutput: grizzly bear\n\nInput: mule, cockapoo\nOutput: mule\n\nInput: flea, goldendoodle\nOutput: goldendoodle\n\nInput: koala, guinea pig\nOutput: koala\n\nInput: butterfly, parrot\nOutput: parrot" } }, "78": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bald eagle, chipmunk\nOutput: bald eagle\n\nInput: pony, hummingbird\nOutput: pony\n\nInput: butterfly, alpaca\nOutput: alpaca\n\nInput: chinook, coyote\nOutput: chinook\n\nInput: pelican, sea lion\nOutput: sea lion\n\nThe instruction was", "metadata": { "examples_seen": "Input: bald eagle, chipmunk\nOutput: bald eagle\n\nInput: pony, hummingbird\nOutput: pony\n\nInput: butterfly, alpaca\nOutput: alpaca\n\nInput: chinook, coyote\nOutput: chinook\n\nInput: pelican, sea lion\nOutput: sea lion" } }, "79": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: shark, butterfly\nOutput: shark\n\nInput: rabbit, tiger\nOutput: tiger\n\nInput: hummingbird, pug\nOutput: pug\n\nInput: collie, crocodile\nOutput: crocodile\n\nInput: octopus, pony\nOutput: pony\n\nThe instruction was", "metadata": { "examples_seen": "Input: shark, butterfly\nOutput: shark\n\nInput: rabbit, tiger\nOutput: tiger\n\nInput: hummingbird, pug\nOutput: pug\n\nInput: collie, crocodile\nOutput: crocodile\n\nInput: octopus, pony\nOutput: pony" } }, "80": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: tiger, chipmunk\nOutput: tiger\n\nInput: liger, toy poodle\nOutput: liger\n\nInput: lobster, goat\nOutput: goat\n\nInput: racoon, polar bear\nOutput: polar bear\n\nInput: dog, rat\nOutput: dog\n\nThe instruction was", "metadata": { "examples_seen": "Input: tiger, chipmunk\nOutput: tiger\n\nInput: liger, toy poodle\nOutput: liger\n\nInput: lobster, goat\nOutput: goat\n\nInput: racoon, polar bear\nOutput: polar bear\n\nInput: dog, rat\nOutput: dog" } }, "81": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: beagle, manatee\nOutput: manatee\n\nInput: bull shark, ferret\nOutput: bull shark\n\nInput: sheltie, shark\nOutput: shark\n\nInput: cheetah, spider\nOutput: cheetah\n\nInput: donkey, lobster\nOutput: donkey\n\nThe instruction was", "metadata": { "examples_seen": "Input: beagle, manatee\nOutput: manatee\n\nInput: bull shark, ferret\nOutput: bull shark\n\nInput: sheltie, shark\nOutput: shark\n\nInput: cheetah, spider\nOutput: cheetah\n\nInput: donkey, lobster\nOutput: donkey" } }, "82": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: chimpanzee, goldfish\nOutput: chimpanzee\n\nInput: parrot, bat\nOutput: parrot\n\nInput: tiger, common carp\nOutput: tiger\n\nInput: spider, chinook\nOutput: chinook\n\nInput: alpaca, chihuahua\nOutput: alpaca\n\nThe instruction was", "metadata": { "examples_seen": "Input: chimpanzee, goldfish\nOutput: chimpanzee\n\nInput: parrot, bat\nOutput: parrot\n\nInput: tiger, common carp\nOutput: tiger\n\nInput: spider, chinook\nOutput: chinook\n\nInput: alpaca, chihuahua\nOutput: alpaca" } }, "83": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: koala, pit bull\nOutput: pit bull\n\nInput: chinchilla, killer whale\nOutput: killer whale\n\nInput: golden retriever, guinea pig\nOutput: golden retriever\n\nInput: liger, labradoodle\nOutput: liger\n\nInput: spider, capybara\nOutput: capybara\n\nThe instruction was", "metadata": { "examples_seen": "Input: koala, pit bull\nOutput: pit bull\n\nInput: chinchilla, killer whale\nOutput: killer whale\n\nInput: golden retriever, guinea pig\nOutput: golden retriever\n\nInput: liger, labradoodle\nOutput: liger\n\nInput: spider, capybara\nOutput: capybara" } }, "84": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: chinchilla, killer whale\nOutput: killer whale\n\nInput: chihuahua, octopus\nOutput: octopus\n\nInput: goldendoodle, moose\nOutput: moose\n\nInput: butterfly, puppy\nOutput: puppy\n\nInput: sturgeon, parrot\nOutput: sturgeon\n\nThe instruction was", "metadata": { "examples_seen": "Input: chinchilla, killer whale\nOutput: killer whale\n\nInput: chihuahua, octopus\nOutput: octopus\n\nInput: goldendoodle, moose\nOutput: moose\n\nInput: butterfly, puppy\nOutput: puppy\n\nInput: sturgeon, parrot\nOutput: sturgeon" } }, "85": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pug, liger\nOutput: liger\n\nInput: labradoodle, toy poodle\nOutput: labradoodle\n\nInput: guinea pig, tiger\nOutput: tiger\n\nInput: bee, chinook\nOutput: chinook\n\nInput: swallow, greyhound\nOutput: greyhound\n\nThe instruction was", "metadata": { "examples_seen": "Input: pug, liger\nOutput: liger\n\nInput: labradoodle, toy poodle\nOutput: labradoodle\n\nInput: guinea pig, tiger\nOutput: tiger\n\nInput: bee, chinook\nOutput: chinook\n\nInput: swallow, greyhound\nOutput: greyhound" } }, "86": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: camel, parrot\nOutput: camel\n\nInput: chihuahua, greyhound\nOutput: greyhound\n\nInput: tuna, bat\nOutput: tuna\n\nInput: hippopotamus, puppy\nOutput: hippopotamus\n\nInput: koi, alpaca\nOutput: alpaca\n\nThe instruction was", "metadata": { "examples_seen": "Input: camel, parrot\nOutput: camel\n\nInput: chihuahua, greyhound\nOutput: greyhound\n\nInput: tuna, bat\nOutput: tuna\n\nInput: hippopotamus, puppy\nOutput: hippopotamus\n\nInput: koi, alpaca\nOutput: alpaca" } }, "87": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: elephant, dog\nOutput: elephant\n\nInput: butterfly, llama\nOutput: llama\n\nInput: bee, golden retriever\nOutput: golden retriever\n\nInput: bull shark, pug\nOutput: bull shark\n\nInput: bulldog, pelican\nOutput: bulldog\n\nThe instruction was", "metadata": { "examples_seen": "Input: elephant, dog\nOutput: elephant\n\nInput: butterfly, llama\nOutput: llama\n\nInput: bee, golden retriever\nOutput: golden retriever\n\nInput: bull shark, pug\nOutput: bull shark\n\nInput: bulldog, pelican\nOutput: bulldog" } }, "88": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: grizzly bear, snail\nOutput: grizzly bear\n\nInput: common carp, shark\nOutput: shark\n\nInput: gorilla, bald eagle\nOutput: gorilla\n\nInput: giraffe, spider\nOutput: giraffe\n\nInput: cockapoo, manatee\nOutput: manatee\n\nThe instruction was", "metadata": { "examples_seen": "Input: grizzly bear, snail\nOutput: grizzly bear\n\nInput: common carp, shark\nOutput: shark\n\nInput: gorilla, bald eagle\nOutput: gorilla\n\nInput: giraffe, spider\nOutput: giraffe\n\nInput: cockapoo, manatee\nOutput: manatee" } }, "89": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: rat terrier, tuna\nOutput: tuna\n\nInput: chihuahua, sea lion\nOutput: sea lion\n\nInput: beagle, sturgeon\nOutput: sturgeon\n\nInput: chinook, elk\nOutput: elk\n\nInput: octopus, chinchilla\nOutput: octopus\n\nThe instruction was", "metadata": { "examples_seen": "Input: rat terrier, tuna\nOutput: tuna\n\nInput: chihuahua, sea lion\nOutput: sea lion\n\nInput: beagle, sturgeon\nOutput: sturgeon\n\nInput: chinook, elk\nOutput: elk\n\nInput: octopus, chinchilla\nOutput: octopus" } }, "90": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: boxer, pug\nOutput: boxer\n\nInput: mule, racoon\nOutput: mule\n\nInput: chipmunk, coyote\nOutput: coyote\n\nInput: gorilla, rabbit\nOutput: gorilla\n\nInput: goldendoodle, sea lion\nOutput: sea lion\n\nThe instruction was", "metadata": { "examples_seen": "Input: boxer, pug\nOutput: boxer\n\nInput: mule, racoon\nOutput: mule\n\nInput: chipmunk, coyote\nOutput: coyote\n\nInput: gorilla, rabbit\nOutput: gorilla\n\nInput: goldendoodle, sea lion\nOutput: sea lion" } }, "91": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pelican, sea lion\nOutput: sea lion\n\nInput: wombat, pelican\nOutput: wombat\n\nInput: shark, goldendoodle\nOutput: shark\n\nInput: collie, snail\nOutput: collie\n\nInput: turtle, puppy\nOutput: turtle\n\nThe instruction was", "metadata": { "examples_seen": "Input: pelican, sea lion\nOutput: sea lion\n\nInput: wombat, pelican\nOutput: wombat\n\nInput: shark, goldendoodle\nOutput: shark\n\nInput: collie, snail\nOutput: collie\n\nInput: turtle, puppy\nOutput: turtle" } }, "92": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: wombat, koala\nOutput: wombat\n\nInput: chimpanzee, coyote\nOutput: chimpanzee\n\nInput: pelican, orangutan\nOutput: orangutan\n\nInput: spider, elephant\nOutput: elephant\n\nInput: coyote, snail\nOutput: coyote\n\nThe instruction was", "metadata": { "examples_seen": "Input: wombat, koala\nOutput: wombat\n\nInput: chimpanzee, coyote\nOutput: chimpanzee\n\nInput: pelican, orangutan\nOutput: orangutan\n\nInput: spider, elephant\nOutput: elephant\n\nInput: coyote, snail\nOutput: coyote" } }, "93": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: manatee, lobster\nOutput: manatee\n\nInput: parrot, pony\nOutput: pony\n\nInput: coyote, bee\nOutput: coyote\n\nInput: sperm whale, snail\nOutput: sperm whale\n\nInput: capybara, parrot\nOutput: capybara\n\nThe instruction was", "metadata": { "examples_seen": "Input: manatee, lobster\nOutput: manatee\n\nInput: parrot, pony\nOutput: pony\n\nInput: coyote, bee\nOutput: coyote\n\nInput: sperm whale, snail\nOutput: sperm whale\n\nInput: capybara, parrot\nOutput: capybara" } }, "94": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: rat, collie\nOutput: collie\n\nInput: puppy, whale shark\nOutput: whale shark\n\nInput: cat, elephant\nOutput: elephant\n\nInput: killer whale, hummingbird\nOutput: killer whale\n\nInput: dog, chinook\nOutput: chinook\n\nThe instruction was", "metadata": { "examples_seen": "Input: rat, collie\nOutput: collie\n\nInput: puppy, whale shark\nOutput: whale shark\n\nInput: cat, elephant\nOutput: elephant\n\nInput: killer whale, hummingbird\nOutput: killer whale\n\nInput: dog, chinook\nOutput: chinook" } }, "95": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: chamois, parrot\nOutput: chamois\n\nInput: sperm whale, snail\nOutput: sperm whale\n\nInput: cougar, largemouth bass\nOutput: cougar\n\nInput: elk, poodle\nOutput: elk\n\nInput: hummingbird, chimpanzee\nOutput: chimpanzee\n\nThe instruction was", "metadata": { "examples_seen": "Input: chamois, parrot\nOutput: chamois\n\nInput: sperm whale, snail\nOutput: sperm whale\n\nInput: cougar, largemouth bass\nOutput: cougar\n\nInput: elk, poodle\nOutput: elk\n\nInput: hummingbird, chimpanzee\nOutput: chimpanzee" } }, "96": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bulldog, goldendoodle\nOutput: bulldog\n\nInput: collie, chimpanzee\nOutput: chimpanzee\n\nInput: cattle, common carp\nOutput: cattle\n\nInput: cat, elephant\nOutput: elephant\n\nInput: sea lion, cockapoo\nOutput: sea lion\n\nThe instruction was", "metadata": { "examples_seen": "Input: bulldog, goldendoodle\nOutput: bulldog\n\nInput: collie, chimpanzee\nOutput: chimpanzee\n\nInput: cattle, common carp\nOutput: cattle\n\nInput: cat, elephant\nOutput: elephant\n\nInput: sea lion, cockapoo\nOutput: sea lion" } }, "97": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: spider, goldendoodle\nOutput: goldendoodle\n\nInput: boxer, puppy\nOutput: boxer\n\nInput: elephant, spider\nOutput: elephant\n\nInput: poodle, cheetah\nOutput: cheetah\n\nInput: chinchilla, jaguar\nOutput: jaguar\n\nThe instruction was", "metadata": { "examples_seen": "Input: spider, goldendoodle\nOutput: goldendoodle\n\nInput: boxer, puppy\nOutput: boxer\n\nInput: elephant, spider\nOutput: elephant\n\nInput: poodle, cheetah\nOutput: cheetah\n\nInput: chinchilla, jaguar\nOutput: jaguar" } }, "98": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: largemouth bass, elephant\nOutput: elephant\n\nInput: coyote, tiger\nOutput: tiger\n\nInput: rabbit, golden retriever\nOutput: golden retriever\n\nInput: dog, manatee\nOutput: manatee\n\nInput: butterfly, bear\nOutput: bear\n\nThe instruction was", "metadata": { "examples_seen": "Input: largemouth bass, elephant\nOutput: elephant\n\nInput: coyote, tiger\nOutput: tiger\n\nInput: rabbit, golden retriever\nOutput: golden retriever\n\nInput: dog, manatee\nOutput: manatee\n\nInput: butterfly, bear\nOutput: bear" } }, "99": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: snail, puppy\nOutput: puppy\n\nInput: bear, chinchilla\nOutput: bear\n\nInput: bee, gorilla\nOutput: gorilla\n\nInput: chamois, jaguar\nOutput: jaguar\n\nInput: rabbit, bulldog\nOutput: bulldog\n\nThe instruction was", "metadata": { "examples_seen": "Input: snail, puppy\nOutput: puppy\n\nInput: bear, chinchilla\nOutput: bear\n\nInput: bee, gorilla\nOutput: gorilla\n\nInput: chamois, jaguar\nOutput: jaguar\n\nInput: rabbit, bulldog\nOutput: bulldog" } }, "100": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: chamois, rabbit\nOutput: chamois\n\nInput: donkey, rat terrier\nOutput: donkey\n\nInput: pelican, orangutan\nOutput: orangutan\n\nInput: pelican, cougar\nOutput: cougar\n\nInput: killer whale, sheltie\nOutput: killer whale\n\nThe instruction was", "metadata": { "examples_seen": "Input: chamois, rabbit\nOutput: chamois\n\nInput: donkey, rat terrier\nOutput: donkey\n\nInput: pelican, orangutan\nOutput: orangutan\n\nInput: pelican, cougar\nOutput: cougar\n\nInput: killer whale, sheltie\nOutput: killer whale" } } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/induction_input/letters_list.json ================================================ { "examples": { "1": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: blood\nOutput: b l o o d\n\nInput: intake\nOutput: i n t a k e\n\nInput: disk\nOutput: d i s k\n\nInput: machine\nOutput: m a c h i n e\n\nInput: lacrosse\nOutput: l a c r o s s e\n\nThe instruction was", "metadata": { "examples_seen": "Input: blood\nOutput: b l o o d\n\nInput: intake\nOutput: i n t a k e\n\nInput: disk\nOutput: d i s k\n\nInput: machine\nOutput: m a c h i n e\n\nInput: lacrosse\nOutput: l a c r o s s e" } }, "2": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pace\nOutput: p a c e\n\nInput: highlight\nOutput: h i g h l i g h t\n\nInput: name\nOutput: n a m e\n\nInput: abortion\nOutput: a b o r t i o n\n\nInput: reprise\nOutput: r e p r i s e\n\nThe instruction was", "metadata": { "examples_seen": "Input: pace\nOutput: p a c e\n\nInput: highlight\nOutput: h i g h l i g h t\n\nInput: name\nOutput: n a m e\n\nInput: abortion\nOutput: a b o r t i o n\n\nInput: reprise\nOutput: r e p r i s e" } }, "3": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: particle\nOutput: p a r t i c l e\n\nInput: medicine\nOutput: m e d i c i n e\n\nInput: chain\nOutput: c h a i n\n\nInput: neutrality\nOutput: n e u t r a l i t y\n\nInput: boy\nOutput: b o y\n\nThe instruction was", "metadata": { "examples_seen": "Input: particle\nOutput: p a r t i c l e\n\nInput: medicine\nOutput: m e d i c i n e\n\nInput: chain\nOutput: c h a i n\n\nInput: neutrality\nOutput: n e u t r a l i t y\n\nInput: boy\nOutput: b o y" } }, "4": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: teaser\nOutput: t e a s e r\n\nInput: experiment\nOutput: e x p e r i m e n t\n\nInput: synth\nOutput: s y n t h\n\nInput: discretion\nOutput: d i s c r e t i o n\n\nInput: disagreement\nOutput: d i s a g r e e m e n t\n\nThe instruction was", "metadata": { "examples_seen": "Input: teaser\nOutput: t e a s e r\n\nInput: experiment\nOutput: e x p e r i m e n t\n\nInput: synth\nOutput: s y n t h\n\nInput: discretion\nOutput: d i s c r e t i o n\n\nInput: disagreement\nOutput: d i s a g r e e m e n t" } }, "5": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: channel\nOutput: c h a n n e l\n\nInput: proclamation\nOutput: p r o c l a m a t i o n\n\nInput: annexation\nOutput: a n n e x a t i o n\n\nInput: depiction\nOutput: d e p i c t i o n\n\nInput: anticipation\nOutput: a n t i c i p a t i o n\n\nThe instruction was", "metadata": { "examples_seen": "Input: channel\nOutput: c h a n n e l\n\nInput: proclamation\nOutput: p r o c l a m a t i o n\n\nInput: annexation\nOutput: a n n e x a t i o n\n\nInput: depiction\nOutput: d e p i c t i o n\n\nInput: anticipation\nOutput: a n t i c i p a t i o n" } }, "6": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: warfare\nOutput: w a r f a r e\n\nInput: experimentation\nOutput: e x p e r i m e n t a t i o n\n\nInput: struggle\nOutput: s t r u g g l e\n\nInput: progression\nOutput: p r o g r e s s i o n\n\nInput: routine\nOutput: r o u t i n e\n\nThe instruction was", "metadata": { "examples_seen": "Input: warfare\nOutput: w a r f a r e\n\nInput: experimentation\nOutput: e x p e r i m e n t a t i o n\n\nInput: struggle\nOutput: s t r u g g l e\n\nInput: progression\nOutput: p r o g r e s s i o n\n\nInput: routine\nOutput: r o u t i n e" } }, "7": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: minute\nOutput: m i n u t e\n\nInput: choir\nOutput: c h o i r\n\nInput: geology\nOutput: g e o l o g y\n\nInput: coal\nOutput: c o a l\n\nInput: airing\nOutput: a i r i n g\n\nThe instruction was", "metadata": { "examples_seen": "Input: minute\nOutput: m i n u t e\n\nInput: choir\nOutput: c h o i r\n\nInput: geology\nOutput: g e o l o g y\n\nInput: coal\nOutput: c o a l\n\nInput: airing\nOutput: a i r i n g" } }, "8": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: transportation\nOutput: t r a n s p o r t a t i o n\n\nInput: conquest\nOutput: c o n q u e s t\n\nInput: commence\nOutput: c o m m e n c e\n\nInput: curve\nOutput: c u r v e\n\nInput: software\nOutput: s o f t w a r e\n\nThe instruction was", "metadata": { "examples_seen": "Input: transportation\nOutput: t r a n s p o r t a t i o n\n\nInput: conquest\nOutput: c o n q u e s t\n\nInput: commence\nOutput: c o m m e n c e\n\nInput: curve\nOutput: c u r v e\n\nInput: software\nOutput: s o f t w a r e" } }, "9": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: replay\nOutput: r e p l a y\n\nInput: bowl\nOutput: b o w l\n\nInput: abolition\nOutput: a b o l i t i o n\n\nInput: stripe\nOutput: s t r i p e\n\nInput: musician\nOutput: m u s i c i a n\n\nThe instruction was", "metadata": { "examples_seen": "Input: replay\nOutput: r e p l a y\n\nInput: bowl\nOutput: b o w l\n\nInput: abolition\nOutput: a b o l i t i o n\n\nInput: stripe\nOutput: s t r i p e\n\nInput: musician\nOutput: m u s i c i a n" } }, "10": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: net\nOutput: n e t\n\nInput: gravel\nOutput: g r a v e l\n\nInput: metre\nOutput: m e t r e\n\nInput: budget\nOutput: b u d g e t\n\nInput: cook\nOutput: c o o k\n\nThe instruction was", "metadata": { "examples_seen": "Input: net\nOutput: n e t\n\nInput: gravel\nOutput: g r a v e l\n\nInput: metre\nOutput: m e t r e\n\nInput: budget\nOutput: b u d g e t\n\nInput: cook\nOutput: c o o k" } }, "11": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: executive\nOutput: e x e c u t i v e\n\nInput: front\nOutput: f r o n t\n\nInput: station\nOutput: s t a t i o n\n\nInput: magnitude\nOutput: m a g n i t u d e\n\nInput: hand\nOutput: h a n d\n\nThe instruction was", "metadata": { "examples_seen": "Input: executive\nOutput: e x e c u t i v e\n\nInput: front\nOutput: f r o n t\n\nInput: station\nOutput: s t a t i o n\n\nInput: magnitude\nOutput: m a g n i t u d e\n\nInput: hand\nOutput: h a n d" } }, "12": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: steam\nOutput: s t e a m\n\nInput: equipment\nOutput: e q u i p m e n t\n\nInput: incarnation\nOutput: i n c a r n a t i o n\n\nInput: tackle\nOutput: t a c k l e\n\nInput: resentment\nOutput: r e s e n t m e n t\n\nThe instruction was", "metadata": { "examples_seen": "Input: steam\nOutput: s t e a m\n\nInput: equipment\nOutput: e q u i p m e n t\n\nInput: incarnation\nOutput: i n c a r n a t i o n\n\nInput: tackle\nOutput: t a c k l e\n\nInput: resentment\nOutput: r e s e n t m e n t" } }, "13": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: drinking\nOutput: d r i n k i n g\n\nInput: country\nOutput: c o u n t r y\n\nInput: elbow\nOutput: e l b o w\n\nInput: broadcaster\nOutput: b r o a d c a s t e r\n\nInput: participation\nOutput: p a r t i c i p a t i o n\n\nThe instruction was", "metadata": { "examples_seen": "Input: drinking\nOutput: d r i n k i n g\n\nInput: country\nOutput: c o u n t r y\n\nInput: elbow\nOutput: e l b o w\n\nInput: broadcaster\nOutput: b r o a d c a s t e r\n\nInput: participation\nOutput: p a r t i c i p a t i o n" } }, "14": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dynasty\nOutput: d y n a s t y\n\nInput: invitation\nOutput: i n v i t a t i o n\n\nInput: reputation\nOutput: r e p u t a t i o n\n\nInput: behavior\nOutput: b e h a v i o r\n\nInput: lion\nOutput: l i o n\n\nThe instruction was", "metadata": { "examples_seen": "Input: dynasty\nOutput: d y n a s t y\n\nInput: invitation\nOutput: i n v i t a t i o n\n\nInput: reputation\nOutput: r e p u t a t i o n\n\nInput: behavior\nOutput: b e h a v i o r\n\nInput: lion\nOutput: l i o n" } }, "15": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bowler\nOutput: b o w l e r\n\nInput: fit\nOutput: f i t\n\nInput: delegate\nOutput: d e l e g a t e\n\nInput: moisture\nOutput: m o i s t u r e\n\nInput: midway\nOutput: m i d w a y\n\nThe instruction was", "metadata": { "examples_seen": "Input: bowler\nOutput: b o w l e r\n\nInput: fit\nOutput: f i t\n\nInput: delegate\nOutput: d e l e g a t e\n\nInput: moisture\nOutput: m o i s t u r e\n\nInput: midway\nOutput: m i d w a y" } }, "16": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: stuff\nOutput: s t u f f\n\nInput: airing\nOutput: a i r i n g\n\nInput: technique\nOutput: t e c h n i q u e\n\nInput: simulate\nOutput: s i m u l a t e\n\nInput: deck\nOutput: d e c k\n\nThe instruction was", "metadata": { "examples_seen": "Input: stuff\nOutput: s t u f f\n\nInput: airing\nOutput: a i r i n g\n\nInput: technique\nOutput: t e c h n i q u e\n\nInput: simulate\nOutput: s i m u l a t e\n\nInput: deck\nOutput: d e c k" } }, "17": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: confession\nOutput: c o n f e s s i o n\n\nInput: securing\nOutput: s e c u r i n g\n\nInput: navigation\nOutput: n a v i g a t i o n\n\nInput: pub\nOutput: p u b\n\nInput: contractor\nOutput: c o n t r a c t o r\n\nThe instruction was", "metadata": { "examples_seen": "Input: confession\nOutput: c o n f e s s i o n\n\nInput: securing\nOutput: s e c u r i n g\n\nInput: navigation\nOutput: n a v i g a t i o n\n\nInput: pub\nOutput: p u b\n\nInput: contractor\nOutput: c o n t r a c t o r" } }, "18": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: backdrop\nOutput: b a c k d r o p\n\nInput: handle\nOutput: h a n d l e\n\nInput: coal\nOutput: c o a l\n\nInput: pointing\nOutput: p o i n t i n g\n\nInput: wrestler\nOutput: w r e s t l e r\n\nThe instruction was", "metadata": { "examples_seen": "Input: backdrop\nOutput: b a c k d r o p\n\nInput: handle\nOutput: h a n d l e\n\nInput: coal\nOutput: c o a l\n\nInput: pointing\nOutput: p o i n t i n g\n\nInput: wrestler\nOutput: w r e s t l e r" } }, "19": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: installation\nOutput: i n s t a l l a t i o n\n\nInput: festival\nOutput: f e s t i v a l\n\nInput: intersection\nOutput: i n t e r s e c t i o n\n\nInput: achievement\nOutput: a c h i e v e m e n t\n\nInput: employment\nOutput: e m p l o y m e n t\n\nThe instruction was", "metadata": { "examples_seen": "Input: installation\nOutput: i n s t a l l a t i o n\n\nInput: festival\nOutput: f e s t i v a l\n\nInput: intersection\nOutput: i n t e r s e c t i o n\n\nInput: achievement\nOutput: a c h i e v e m e n t\n\nInput: employment\nOutput: e m p l o y m e n t" } }, "20": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: protest\nOutput: p r o t e s t\n\nInput: viewer\nOutput: v i e w e r\n\nInput: membrane\nOutput: m e m b r a n e\n\nInput: possibility\nOutput: p o s s i b i l i t y\n\nInput: skating\nOutput: s k a t i n g\n\nThe instruction was", "metadata": { "examples_seen": "Input: protest\nOutput: p r o t e s t\n\nInput: viewer\nOutput: v i e w e r\n\nInput: membrane\nOutput: m e m b r a n e\n\nInput: possibility\nOutput: p o s s i b i l i t y\n\nInput: skating\nOutput: s k a t i n g" } }, "21": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: delay\nOutput: d e l a y\n\nInput: reservoir\nOutput: r e s e r v o i r\n\nInput: visibility\nOutput: v i s i b i l i t y\n\nInput: possibility\nOutput: p o s s i b i l i t y\n\nInput: opposition\nOutput: o p p o s i t i o n\n\nThe instruction was", "metadata": { "examples_seen": "Input: delay\nOutput: d e l a y\n\nInput: reservoir\nOutput: r e s e r v o i r\n\nInput: visibility\nOutput: v i s i b i l i t y\n\nInput: possibility\nOutput: p o s s i b i l i t y\n\nInput: opposition\nOutput: o p p o s i t i o n" } }, "22": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pipe\nOutput: p i p e\n\nInput: home\nOutput: h o m e\n\nInput: excellence\nOutput: e x c e l l e n c e\n\nInput: infrastructure\nOutput: i n f r a s t r u c t u r e\n\nInput: removal\nOutput: r e m o v a l\n\nThe instruction was", "metadata": { "examples_seen": "Input: pipe\nOutput: p i p e\n\nInput: home\nOutput: h o m e\n\nInput: excellence\nOutput: e x c e l l e n c e\n\nInput: infrastructure\nOutput: i n f r a s t r u c t u r e\n\nInput: removal\nOutput: r e m o v a l" } }, "23": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: admit\nOutput: a d m i t\n\nInput: software\nOutput: s o f t w a r e\n\nInput: household\nOutput: h o u s e h o l d\n\nInput: sanctuary\nOutput: s a n c t u a r y\n\nInput: literature\nOutput: l i t e r a t u r e\n\nThe instruction was", "metadata": { "examples_seen": "Input: admit\nOutput: a d m i t\n\nInput: software\nOutput: s o f t w a r e\n\nInput: household\nOutput: h o u s e h o l d\n\nInput: sanctuary\nOutput: s a n c t u a r y\n\nInput: literature\nOutput: l i t e r a t u r e" } }, "24": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: interchange\nOutput: i n t e r c h a n g e\n\nInput: vaccine\nOutput: v a c c i n e\n\nInput: rest\nOutput: r e s t\n\nInput: soundtrack\nOutput: s o u n d t r a c k\n\nInput: numbering\nOutput: n u m b e r i n g\n\nThe instruction was", "metadata": { "examples_seen": "Input: interchange\nOutput: i n t e r c h a n g e\n\nInput: vaccine\nOutput: v a c c i n e\n\nInput: rest\nOutput: r e s t\n\nInput: soundtrack\nOutput: s o u n d t r a c k\n\nInput: numbering\nOutput: n u m b e r i n g" } }, "25": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: territory\nOutput: t e r r i t o r y\n\nInput: feedback\nOutput: f e e d b a c k\n\nInput: afternoon\nOutput: a f t e r n o o n\n\nInput: ride\nOutput: r i d e\n\nInput: volunteer\nOutput: v o l u n t e e r\n\nThe instruction was", "metadata": { "examples_seen": "Input: territory\nOutput: t e r r i t o r y\n\nInput: feedback\nOutput: f e e d b a c k\n\nInput: afternoon\nOutput: a f t e r n o o n\n\nInput: ride\nOutput: r i d e\n\nInput: volunteer\nOutput: v o l u n t e e r" } }, "26": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: livestock\nOutput: l i v e s t o c k\n\nInput: velocity\nOutput: v e l o c i t y\n\nInput: opinion\nOutput: o p i n i o n\n\nInput: case\nOutput: c a s e\n\nInput: stroke\nOutput: s t r o k e\n\nThe instruction was", "metadata": { "examples_seen": "Input: livestock\nOutput: l i v e s t o c k\n\nInput: velocity\nOutput: v e l o c i t y\n\nInput: opinion\nOutput: o p i n i o n\n\nInput: case\nOutput: c a s e\n\nInput: stroke\nOutput: s t r o k e" } }, "27": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: output\nOutput: o u t p u t\n\nInput: bone\nOutput: b o n e\n\nInput: convention\nOutput: c o n v e n t i o n\n\nInput: unemployment\nOutput: u n e m p l o y m e n t\n\nInput: withdrawal\nOutput: w i t h d r a w a l\n\nThe instruction was", "metadata": { "examples_seen": "Input: output\nOutput: o u t p u t\n\nInput: bone\nOutput: b o n e\n\nInput: convention\nOutput: c o n v e n t i o n\n\nInput: unemployment\nOutput: u n e m p l o y m e n t\n\nInput: withdrawal\nOutput: w i t h d r a w a l" } }, "28": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: attack\nOutput: a t t a c k\n\nInput: mixture\nOutput: m i x t u r e\n\nInput: agenda\nOutput: a g e n d a\n\nInput: affection\nOutput: a f f e c t i o n\n\nInput: antagonist\nOutput: a n t a g o n i s t\n\nThe instruction was", "metadata": { "examples_seen": "Input: attack\nOutput: a t t a c k\n\nInput: mixture\nOutput: m i x t u r e\n\nInput: agenda\nOutput: a g e n d a\n\nInput: affection\nOutput: a f f e c t i o n\n\nInput: antagonist\nOutput: a n t a g o n i s t" } }, "29": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: mainstream\nOutput: m a i n s t r e a m\n\nInput: cathedral\nOutput: c a t h e d r a l\n\nInput: midway\nOutput: m i d w a y\n\nInput: obstacle\nOutput: o b s t a c l e\n\nInput: sensitivity\nOutput: s e n s i t i v i t y\n\nThe instruction was", "metadata": { "examples_seen": "Input: mainstream\nOutput: m a i n s t r e a m\n\nInput: cathedral\nOutput: c a t h e d r a l\n\nInput: midway\nOutput: m i d w a y\n\nInput: obstacle\nOutput: o b s t a c l e\n\nInput: sensitivity\nOutput: s e n s i t i v i t y" } }, "30": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: scope\nOutput: s c o p e\n\nInput: trail\nOutput: t r a i l\n\nInput: rehabilitation\nOutput: r e h a b i l i t a t i o n\n\nInput: bar\nOutput: b a r\n\nInput: consequence\nOutput: c o n s e q u e n c e\n\nThe instruction was", "metadata": { "examples_seen": "Input: scope\nOutput: s c o p e\n\nInput: trail\nOutput: t r a i l\n\nInput: rehabilitation\nOutput: r e h a b i l i t a t i o n\n\nInput: bar\nOutput: b a r\n\nInput: consequence\nOutput: c o n s e q u e n c e" } }, "31": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: decision\nOutput: d e c i s i o n\n\nInput: harbour\nOutput: h a r b o u r\n\nInput: sale\nOutput: s a l e\n\nInput: mortality\nOutput: m o r t a l i t y\n\nInput: bravery\nOutput: b r a v e r y\n\nThe instruction was", "metadata": { "examples_seen": "Input: decision\nOutput: d e c i s i o n\n\nInput: harbour\nOutput: h a r b o u r\n\nInput: sale\nOutput: s a l e\n\nInput: mortality\nOutput: m o r t a l i t y\n\nInput: bravery\nOutput: b r a v e r y" } }, "32": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: appeal\nOutput: a p p e a l\n\nInput: intricate\nOutput: i n t r i c a t e\n\nInput: dimension\nOutput: d i m e n s i o n\n\nInput: desk\nOutput: d e s k\n\nInput: salmon\nOutput: s a l m o n\n\nThe instruction was", "metadata": { "examples_seen": "Input: appeal\nOutput: a p p e a l\n\nInput: intricate\nOutput: i n t r i c a t e\n\nInput: dimension\nOutput: d i m e n s i o n\n\nInput: desk\nOutput: d e s k\n\nInput: salmon\nOutput: s a l m o n" } }, "33": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: seating\nOutput: s e a t i n g\n\nInput: voice\nOutput: v o i c e\n\nInput: synagogue\nOutput: s y n a g o g u e\n\nInput: pile\nOutput: p i l e\n\nInput: clip\nOutput: c l i p\n\nThe instruction was", "metadata": { "examples_seen": "Input: seating\nOutput: s e a t i n g\n\nInput: voice\nOutput: v o i c e\n\nInput: synagogue\nOutput: s y n a g o g u e\n\nInput: pile\nOutput: p i l e\n\nInput: clip\nOutput: c l i p" } }, "34": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: decade\nOutput: d e c a d e\n\nInput: certainty\nOutput: c e r t a i n t y\n\nInput: analysis\nOutput: a n a l y s i s\n\nInput: resupply\nOutput: r e s u p p l y\n\nInput: symbol\nOutput: s y m b o l\n\nThe instruction was", "metadata": { "examples_seen": "Input: decade\nOutput: d e c a d e\n\nInput: certainty\nOutput: c e r t a i n t y\n\nInput: analysis\nOutput: a n a l y s i s\n\nInput: resupply\nOutput: r e s u p p l y\n\nInput: symbol\nOutput: s y m b o l" } }, "35": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: localization\nOutput: l o c a l i z a t i o n\n\nInput: menu\nOutput: m e n u\n\nInput: crane\nOutput: c r a n e\n\nInput: assignment\nOutput: a s s i g n m e n t\n\nInput: critic\nOutput: c r i t i c\n\nThe instruction was", "metadata": { "examples_seen": "Input: localization\nOutput: l o c a l i z a t i o n\n\nInput: menu\nOutput: m e n u\n\nInput: crane\nOutput: c r a n e\n\nInput: assignment\nOutput: a s s i g n m e n t\n\nInput: critic\nOutput: c r i t i c" } }, "36": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: shark\nOutput: s h a r k\n\nInput: dose\nOutput: d o s e\n\nInput: measurement\nOutput: m e a s u r e m e n t\n\nInput: installation\nOutput: i n s t a l l a t i o n\n\nInput: excuse\nOutput: e x c u s e\n\nThe instruction was", "metadata": { "examples_seen": "Input: shark\nOutput: s h a r k\n\nInput: dose\nOutput: d o s e\n\nInput: measurement\nOutput: m e a s u r e m e n t\n\nInput: installation\nOutput: i n s t a l l a t i o n\n\nInput: excuse\nOutput: e x c u s e" } }, "37": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: tube\nOutput: t u b e\n\nInput: outcome\nOutput: o u t c o m e\n\nInput: comment\nOutput: c o m m e n t\n\nInput: house\nOutput: h o u s e\n\nInput: pride\nOutput: p r i d e\n\nThe instruction was", "metadata": { "examples_seen": "Input: tube\nOutput: t u b e\n\nInput: outcome\nOutput: o u t c o m e\n\nInput: comment\nOutput: c o m m e n t\n\nInput: house\nOutput: h o u s e\n\nInput: pride\nOutput: p r i d e" } }, "38": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: particle\nOutput: p a r t i c l e\n\nInput: masterpiece\nOutput: m a s t e r p i e c e\n\nInput: pectoral\nOutput: p e c t o r a l\n\nInput: pneumonia\nOutput: p n e u m o n i a\n\nInput: mention\nOutput: m e n t i o n\n\nThe instruction was", "metadata": { "examples_seen": "Input: particle\nOutput: p a r t i c l e\n\nInput: masterpiece\nOutput: m a s t e r p i e c e\n\nInput: pectoral\nOutput: p e c t o r a l\n\nInput: pneumonia\nOutput: p n e u m o n i a\n\nInput: mention\nOutput: m e n t i o n" } }, "39": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: moisture\nOutput: m o i s t u r e\n\nInput: creator\nOutput: c r e a t o r\n\nInput: grammar\nOutput: g r a m m a r\n\nInput: behaviour\nOutput: b e h a v i o u r\n\nInput: corporation\nOutput: c o r p o r a t i o n\n\nThe instruction was", "metadata": { "examples_seen": "Input: moisture\nOutput: m o i s t u r e\n\nInput: creator\nOutput: c r e a t o r\n\nInput: grammar\nOutput: g r a m m a r\n\nInput: behaviour\nOutput: b e h a v i o u r\n\nInput: corporation\nOutput: c o r p o r a t i o n" } }, "40": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: mainline\nOutput: m a i n l i n e\n\nInput: phenomenon\nOutput: p h e n o m e n o n\n\nInput: transition\nOutput: t r a n s i t i o n\n\nInput: trumpet\nOutput: t r u m p e t\n\nInput: coverage\nOutput: c o v e r a g e\n\nThe instruction was", "metadata": { "examples_seen": "Input: mainline\nOutput: m a i n l i n e\n\nInput: phenomenon\nOutput: p h e n o m e n o n\n\nInput: transition\nOutput: t r a n s i t i o n\n\nInput: trumpet\nOutput: t r u m p e t\n\nInput: coverage\nOutput: c o v e r a g e" } }, "41": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: temperature\nOutput: t e m p e r a t u r e\n\nInput: realism\nOutput: r e a l i s m\n\nInput: button\nOutput: b u t t o n\n\nInput: paperback\nOutput: p a p e r b a c k\n\nInput: enclosure\nOutput: e n c l o s u r e\n\nThe instruction was", "metadata": { "examples_seen": "Input: temperature\nOutput: t e m p e r a t u r e\n\nInput: realism\nOutput: r e a l i s m\n\nInput: button\nOutput: b u t t o n\n\nInput: paperback\nOutput: p a p e r b a c k\n\nInput: enclosure\nOutput: e n c l o s u r e" } }, "42": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: control\nOutput: c o n t r o l\n\nInput: declaration\nOutput: d e c l a r a t i o n\n\nInput: castle\nOutput: c a s t l e\n\nInput: restaurant\nOutput: r e s t a u r a n t\n\nInput: predecessor\nOutput: p r e d e c e s s o r\n\nThe instruction was", "metadata": { "examples_seen": "Input: control\nOutput: c o n t r o l\n\nInput: declaration\nOutput: d e c l a r a t i o n\n\nInput: castle\nOutput: c a s t l e\n\nInput: restaurant\nOutput: r e s t a u r a n t\n\nInput: predecessor\nOutput: p r e d e c e s s o r" } }, "43": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: destination\nOutput: d e s t i n a t i o n\n\nInput: process\nOutput: p r o c e s s\n\nInput: halftime\nOutput: h a l f t i m e\n\nInput: referee\nOutput: r e f e r e e\n\nInput: strength\nOutput: s t r e n g t h\n\nThe instruction was", "metadata": { "examples_seen": "Input: destination\nOutput: d e s t i n a t i o n\n\nInput: process\nOutput: p r o c e s s\n\nInput: halftime\nOutput: h a l f t i m e\n\nInput: referee\nOutput: r e f e r e e\n\nInput: strength\nOutput: s t r e n g t h" } }, "44": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: generator\nOutput: g e n e r a t o r\n\nInput: property\nOutput: p r o p e r t y\n\nInput: accommodate\nOutput: a c c o m m o d a t e\n\nInput: stake\nOutput: s t a k e\n\nInput: morning\nOutput: m o r n i n g\n\nThe instruction was", "metadata": { "examples_seen": "Input: generator\nOutput: g e n e r a t o r\n\nInput: property\nOutput: p r o p e r t y\n\nInput: accommodate\nOutput: a c c o m m o d a t e\n\nInput: stake\nOutput: s t a k e\n\nInput: morning\nOutput: m o r n i n g" } }, "45": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: mate\nOutput: m a t e\n\nInput: lunch\nOutput: l u n c h\n\nInput: west\nOutput: w e s t\n\nInput: community\nOutput: c o m m u n i t y\n\nInput: aggregator\nOutput: a g g r e g a t o r\n\nThe instruction was", "metadata": { "examples_seen": "Input: mate\nOutput: m a t e\n\nInput: lunch\nOutput: l u n c h\n\nInput: west\nOutput: w e s t\n\nInput: community\nOutput: c o m m u n i t y\n\nInput: aggregator\nOutput: a g g r e g a t o r" } }, "46": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: jumping\nOutput: j u m p i n g\n\nInput: numbering\nOutput: n u m b e r i n g\n\nInput: privilege\nOutput: p r i v i l e g e\n\nInput: reputation\nOutput: r e p u t a t i o n\n\nInput: autonomy\nOutput: a u t o n o m y\n\nThe instruction was", "metadata": { "examples_seen": "Input: jumping\nOutput: j u m p i n g\n\nInput: numbering\nOutput: n u m b e r i n g\n\nInput: privilege\nOutput: p r i v i l e g e\n\nInput: reputation\nOutput: r e p u t a t i o n\n\nInput: autonomy\nOutput: a u t o n o m y" } }, "47": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: church\nOutput: c h u r c h\n\nInput: scouting\nOutput: s c o u t i n g\n\nInput: luminosity\nOutput: l u m i n o s i t y\n\nInput: forehead\nOutput: f o r e h e a d\n\nInput: body\nOutput: b o d y\n\nThe instruction was", "metadata": { "examples_seen": "Input: church\nOutput: c h u r c h\n\nInput: scouting\nOutput: s c o u t i n g\n\nInput: luminosity\nOutput: l u m i n o s i t y\n\nInput: forehead\nOutput: f o r e h e a d\n\nInput: body\nOutput: b o d y" } }, "48": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: quest\nOutput: q u e s t\n\nInput: award\nOutput: a w a r d\n\nInput: importance\nOutput: i m p o r t a n c e\n\nInput: monastery\nOutput: m o n a s t e r y\n\nInput: business\nOutput: b u s i n e s s\n\nThe instruction was", "metadata": { "examples_seen": "Input: quest\nOutput: q u e s t\n\nInput: award\nOutput: a w a r d\n\nInput: importance\nOutput: i m p o r t a n c e\n\nInput: monastery\nOutput: m o n a s t e r y\n\nInput: business\nOutput: b u s i n e s s" } }, "49": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: platform\nOutput: p l a t f o r m\n\nInput: exhibition\nOutput: e x h i b i t i o n\n\nInput: cassette\nOutput: c a s s e t t e\n\nInput: supervision\nOutput: s u p e r v i s i o n\n\nInput: exclusion\nOutput: e x c l u s i o n\n\nThe instruction was", "metadata": { "examples_seen": "Input: platform\nOutput: p l a t f o r m\n\nInput: exhibition\nOutput: e x h i b i t i o n\n\nInput: cassette\nOutput: c a s s e t t e\n\nInput: supervision\nOutput: s u p e r v i s i o n\n\nInput: exclusion\nOutput: e x c l u s i o n" } }, "50": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: glee\nOutput: g l e e\n\nInput: unrest\nOutput: u n r e s t\n\nInput: posture\nOutput: p o s t u r e\n\nInput: privilege\nOutput: p r i v i l e g e\n\nInput: commuter\nOutput: c o m m u t e r\n\nThe instruction was", "metadata": { "examples_seen": "Input: glee\nOutput: g l e e\n\nInput: unrest\nOutput: u n r e s t\n\nInput: posture\nOutput: p o s t u r e\n\nInput: privilege\nOutput: p r i v i l e g e\n\nInput: commuter\nOutput: c o m m u t e r" } }, "51": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: messenger\nOutput: m e s s e n g e r\n\nInput: martial\nOutput: m a r t i a l\n\nInput: dynasty\nOutput: d y n a s t y\n\nInput: wrist\nOutput: w r i s t\n\nInput: association\nOutput: a s s o c i a t i o n\n\nThe instruction was", "metadata": { "examples_seen": "Input: messenger\nOutput: m e s s e n g e r\n\nInput: martial\nOutput: m a r t i a l\n\nInput: dynasty\nOutput: d y n a s t y\n\nInput: wrist\nOutput: w r i s t\n\nInput: association\nOutput: a s s o c i a t i o n" } }, "52": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: acceleration\nOutput: a c c e l e r a t i o n\n\nInput: surname\nOutput: s u r n a m e\n\nInput: planning\nOutput: p l a n n i n g\n\nInput: margin\nOutput: m a r g i n\n\nInput: reliability\nOutput: r e l i a b i l i t y\n\nThe instruction was", "metadata": { "examples_seen": "Input: acceleration\nOutput: a c c e l e r a t i o n\n\nInput: surname\nOutput: s u r n a m e\n\nInput: planning\nOutput: p l a n n i n g\n\nInput: margin\nOutput: m a r g i n\n\nInput: reliability\nOutput: r e l i a b i l i t y" } }, "53": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: plant\nOutput: p l a n t\n\nInput: period\nOutput: p e r i o d\n\nInput: interaction\nOutput: i n t e r a c t i o n\n\nInput: viewer\nOutput: v i e w e r\n\nInput: concentrate\nOutput: c o n c e n t r a t e\n\nThe instruction was", "metadata": { "examples_seen": "Input: plant\nOutput: p l a n t\n\nInput: period\nOutput: p e r i o d\n\nInput: interaction\nOutput: i n t e r a c t i o n\n\nInput: viewer\nOutput: v i e w e r\n\nInput: concentrate\nOutput: c o n c e n t r a t e" } }, "54": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: university\nOutput: u n i v e r s i t y\n\nInput: dancer\nOutput: d a n c e r\n\nInput: molecule\nOutput: m o l e c u l e\n\nInput: cash\nOutput: c a s h\n\nInput: flank\nOutput: f l a n k\n\nThe instruction was", "metadata": { "examples_seen": "Input: university\nOutput: u n i v e r s i t y\n\nInput: dancer\nOutput: d a n c e r\n\nInput: molecule\nOutput: m o l e c u l e\n\nInput: cash\nOutput: c a s h\n\nInput: flank\nOutput: f l a n k" } }, "55": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: trip\nOutput: t r i p\n\nInput: martial\nOutput: m a r t i a l\n\nInput: communist\nOutput: c o m m u n i s t\n\nInput: concurrency\nOutput: c o n c u r r e n c y\n\nInput: chairman\nOutput: c h a i r m a n\n\nThe instruction was", "metadata": { "examples_seen": "Input: trip\nOutput: t r i p\n\nInput: martial\nOutput: m a r t i a l\n\nInput: communist\nOutput: c o m m u n i s t\n\nInput: concurrency\nOutput: c o n c u r r e n c y\n\nInput: chairman\nOutput: c h a i r m a n" } }, "56": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: base\nOutput: b a s e\n\nInput: cannon\nOutput: c a n n o n\n\nInput: memoir\nOutput: m e m o i r\n\nInput: wage\nOutput: w a g e\n\nInput: silent\nOutput: s i l e n t\n\nThe instruction was", "metadata": { "examples_seen": "Input: base\nOutput: b a s e\n\nInput: cannon\nOutput: c a n n o n\n\nInput: memoir\nOutput: m e m o i r\n\nInput: wage\nOutput: w a g e\n\nInput: silent\nOutput: s i l e n t" } }, "57": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: compare\nOutput: c o m p a r e\n\nInput: peninsula\nOutput: p e n i n s u l a\n\nInput: spray\nOutput: s p r a y\n\nInput: landfall\nOutput: l a n d f a l l\n\nInput: biology\nOutput: b i o l o g y\n\nThe instruction was", "metadata": { "examples_seen": "Input: compare\nOutput: c o m p a r e\n\nInput: peninsula\nOutput: p e n i n s u l a\n\nInput: spray\nOutput: s p r a y\n\nInput: landfall\nOutput: l a n d f a l l\n\nInput: biology\nOutput: b i o l o g y" } }, "58": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: baseball\nOutput: b a s e b a l l\n\nInput: retirement\nOutput: r e t i r e m e n t\n\nInput: globe\nOutput: g l o b e\n\nInput: insignia\nOutput: i n s i g n i a\n\nInput: homage\nOutput: h o m a g e\n\nThe instruction was", "metadata": { "examples_seen": "Input: baseball\nOutput: b a s e b a l l\n\nInput: retirement\nOutput: r e t i r e m e n t\n\nInput: globe\nOutput: g l o b e\n\nInput: insignia\nOutput: i n s i g n i a\n\nInput: homage\nOutput: h o m a g e" } }, "59": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: outlet\nOutput: o u t l e t\n\nInput: manufacture\nOutput: m a n u f a c t u r e\n\nInput: output\nOutput: o u t p u t\n\nInput: egg\nOutput: e g g\n\nInput: gradient\nOutput: g r a d i e n t\n\nThe instruction was", "metadata": { "examples_seen": "Input: outlet\nOutput: o u t l e t\n\nInput: manufacture\nOutput: m a n u f a c t u r e\n\nInput: output\nOutput: o u t p u t\n\nInput: egg\nOutput: e g g\n\nInput: gradient\nOutput: g r a d i e n t" } }, "60": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: stomach\nOutput: s t o m a c h\n\nInput: labour\nOutput: l a b o u r\n\nInput: brass\nOutput: b r a s s\n\nInput: illness\nOutput: i l l n e s s\n\nInput: shortstop\nOutput: s h o r t s t o p\n\nThe instruction was", "metadata": { "examples_seen": "Input: stomach\nOutput: s t o m a c h\n\nInput: labour\nOutput: l a b o u r\n\nInput: brass\nOutput: b r a s s\n\nInput: illness\nOutput: i l l n e s s\n\nInput: shortstop\nOutput: s h o r t s t o p" } }, "61": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: rate\nOutput: r a t e\n\nInput: destiny\nOutput: d e s t i n y\n\nInput: element\nOutput: e l e m e n t\n\nInput: drink\nOutput: d r i n k\n\nInput: tip\nOutput: t i p\n\nThe instruction was", "metadata": { "examples_seen": "Input: rate\nOutput: r a t e\n\nInput: destiny\nOutput: d e s t i n y\n\nInput: element\nOutput: e l e m e n t\n\nInput: drink\nOutput: d r i n k\n\nInput: tip\nOutput: t i p" } }, "62": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: reactor\nOutput: r e a c t o r\n\nInput: militant\nOutput: m i l i t a n t\n\nInput: abortion\nOutput: a b o r t i o n\n\nInput: chance\nOutput: c h a n c e\n\nInput: electricity\nOutput: e l e c t r i c i t y\n\nThe instruction was", "metadata": { "examples_seen": "Input: reactor\nOutput: r e a c t o r\n\nInput: militant\nOutput: m i l i t a n t\n\nInput: abortion\nOutput: a b o r t i o n\n\nInput: chance\nOutput: c h a n c e\n\nInput: electricity\nOutput: e l e c t r i c i t y" } }, "63": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: enhance\nOutput: e n h a n c e\n\nInput: documentation\nOutput: d o c u m e n t a t i o n\n\nInput: dopamine\nOutput: d o p a m i n e\n\nInput: merchant\nOutput: m e r c h a n t\n\nInput: fundraising\nOutput: f u n d r a i s i n g\n\nThe instruction was", "metadata": { "examples_seen": "Input: enhance\nOutput: e n h a n c e\n\nInput: documentation\nOutput: d o c u m e n t a t i o n\n\nInput: dopamine\nOutput: d o p a m i n e\n\nInput: merchant\nOutput: m e r c h a n t\n\nInput: fundraising\nOutput: f u n d r a i s i n g" } }, "64": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: country\nOutput: c o u n t r y\n\nInput: mascot\nOutput: m a s c o t\n\nInput: prevention\nOutput: p r e v e n t i o n\n\nInput: poster\nOutput: p o s t e r\n\nInput: delay\nOutput: d e l a y\n\nThe instruction was", "metadata": { "examples_seen": "Input: country\nOutput: c o u n t r y\n\nInput: mascot\nOutput: m a s c o t\n\nInput: prevention\nOutput: p r e v e n t i o n\n\nInput: poster\nOutput: p o s t e r\n\nInput: delay\nOutput: d e l a y" } }, "65": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: basketball\nOutput: b a s k e t b a l l\n\nInput: pose\nOutput: p o s e\n\nInput: availability\nOutput: a v a i l a b i l i t y\n\nInput: monsoon\nOutput: m o n s o o n\n\nInput: kid\nOutput: k i d\n\nThe instruction was", "metadata": { "examples_seen": "Input: basketball\nOutput: b a s k e t b a l l\n\nInput: pose\nOutput: p o s e\n\nInput: availability\nOutput: a v a i l a b i l i t y\n\nInput: monsoon\nOutput: m o n s o o n\n\nInput: kid\nOutput: k i d" } }, "66": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: incident\nOutput: i n c i d e n t\n\nInput: coronation\nOutput: c o r o n a t i o n\n\nInput: exclusion\nOutput: e x c l u s i o n\n\nInput: label\nOutput: l a b e l\n\nInput: sink\nOutput: s i n k\n\nThe instruction was", "metadata": { "examples_seen": "Input: incident\nOutput: i n c i d e n t\n\nInput: coronation\nOutput: c o r o n a t i o n\n\nInput: exclusion\nOutput: e x c l u s i o n\n\nInput: label\nOutput: l a b e l\n\nInput: sink\nOutput: s i n k" } }, "67": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: breast\nOutput: b r e a s t\n\nInput: strip\nOutput: s t r i p\n\nInput: hotel\nOutput: h o t e l\n\nInput: display\nOutput: d i s p l a y\n\nInput: release\nOutput: r e l e a s e\n\nThe instruction was", "metadata": { "examples_seen": "Input: breast\nOutput: b r e a s t\n\nInput: strip\nOutput: s t r i p\n\nInput: hotel\nOutput: h o t e l\n\nInput: display\nOutput: d i s p l a y\n\nInput: release\nOutput: r e l e a s e" } }, "68": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: custody\nOutput: c u s t o d y\n\nInput: recognition\nOutput: r e c o g n i t i o n\n\nInput: future\nOutput: f u t u r e\n\nInput: asylum\nOutput: a s y l u m\n\nInput: scenario\nOutput: s c e n a r i o\n\nThe instruction was", "metadata": { "examples_seen": "Input: custody\nOutput: c u s t o d y\n\nInput: recognition\nOutput: r e c o g n i t i o n\n\nInput: future\nOutput: f u t u r e\n\nInput: asylum\nOutput: a s y l u m\n\nInput: scenario\nOutput: s c e n a r i o" } }, "69": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: devotion\nOutput: d e v o t i o n\n\nInput: tunnel\nOutput: t u n n e l\n\nInput: habitat\nOutput: h a b i t a t\n\nInput: trough\nOutput: t r o u g h\n\nInput: helium\nOutput: h e l i u m\n\nThe instruction was", "metadata": { "examples_seen": "Input: devotion\nOutput: d e v o t i o n\n\nInput: tunnel\nOutput: t u n n e l\n\nInput: habitat\nOutput: h a b i t a t\n\nInput: trough\nOutput: t r o u g h\n\nInput: helium\nOutput: h e l i u m" } }, "70": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: lover\nOutput: l o v e r\n\nInput: call\nOutput: c a l l\n\nInput: survivor\nOutput: s u r v i v o r\n\nInput: parrot\nOutput: p a r r o t\n\nInput: novel\nOutput: n o v e l\n\nThe instruction was", "metadata": { "examples_seen": "Input: lover\nOutput: l o v e r\n\nInput: call\nOutput: c a l l\n\nInput: survivor\nOutput: s u r v i v o r\n\nInput: parrot\nOutput: p a r r o t\n\nInput: novel\nOutput: n o v e l" } }, "71": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: molecule\nOutput: m o l e c u l e\n\nInput: experience\nOutput: e x p e r i e n c e\n\nInput: consort\nOutput: c o n s o r t\n\nInput: shopping\nOutput: s h o p p i n g\n\nInput: emblem\nOutput: e m b l e m\n\nThe instruction was", "metadata": { "examples_seen": "Input: molecule\nOutput: m o l e c u l e\n\nInput: experience\nOutput: e x p e r i e n c e\n\nInput: consort\nOutput: c o n s o r t\n\nInput: shopping\nOutput: s h o p p i n g\n\nInput: emblem\nOutput: e m b l e m" } }, "72": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: eye\nOutput: e y e\n\nInput: employer\nOutput: e m p l o y e r\n\nInput: showcase\nOutput: s h o w c a s e\n\nInput: wreck\nOutput: w r e c k\n\nInput: gut\nOutput: g u t\n\nThe instruction was", "metadata": { "examples_seen": "Input: eye\nOutput: e y e\n\nInput: employer\nOutput: e m p l o y e r\n\nInput: showcase\nOutput: s h o w c a s e\n\nInput: wreck\nOutput: w r e c k\n\nInput: gut\nOutput: g u t" } }, "73": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: hunt\nOutput: h u n t\n\nInput: compensation\nOutput: c o m p e n s a t i o n\n\nInput: aesthetic\nOutput: a e s t h e t i c\n\nInput: wire\nOutput: w i r e\n\nInput: disruption\nOutput: d i s r u p t i o n\n\nThe instruction was", "metadata": { "examples_seen": "Input: hunt\nOutput: h u n t\n\nInput: compensation\nOutput: c o m p e n s a t i o n\n\nInput: aesthetic\nOutput: a e s t h e t i c\n\nInput: wire\nOutput: w i r e\n\nInput: disruption\nOutput: d i s r u p t i o n" } }, "74": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: livestock\nOutput: l i v e s t o c k\n\nInput: tax\nOutput: t a x\n\nInput: eligibility\nOutput: e l i g i b i l i t y\n\nInput: expand\nOutput: e x p a n d\n\nInput: demo\nOutput: d e m o\n\nThe instruction was", "metadata": { "examples_seen": "Input: livestock\nOutput: l i v e s t o c k\n\nInput: tax\nOutput: t a x\n\nInput: eligibility\nOutput: e l i g i b i l i t y\n\nInput: expand\nOutput: e x p a n d\n\nInput: demo\nOutput: d e m o" } }, "75": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: consort\nOutput: c o n s o r t\n\nInput: bomb\nOutput: b o m b\n\nInput: dozen\nOutput: d o z e n\n\nInput: group\nOutput: g r o u p\n\nInput: bread\nOutput: b r e a d\n\nThe instruction was", "metadata": { "examples_seen": "Input: consort\nOutput: c o n s o r t\n\nInput: bomb\nOutput: b o m b\n\nInput: dozen\nOutput: d o z e n\n\nInput: group\nOutput: g r o u p\n\nInput: bread\nOutput: b r e a d" } }, "76": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: freshwater\nOutput: f r e s h w a t e r\n\nInput: simulate\nOutput: s i m u l a t e\n\nInput: comment\nOutput: c o m m e n t\n\nInput: gut\nOutput: g u t\n\nInput: defense\nOutput: d e f e n s e\n\nThe instruction was", "metadata": { "examples_seen": "Input: freshwater\nOutput: f r e s h w a t e r\n\nInput: simulate\nOutput: s i m u l a t e\n\nInput: comment\nOutput: c o m m e n t\n\nInput: gut\nOutput: g u t\n\nInput: defense\nOutput: d e f e n s e" } }, "77": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: nesting\nOutput: n e s t i n g\n\nInput: premise\nOutput: p r e m i s e\n\nInput: source\nOutput: s o u r c e\n\nInput: talk\nOutput: t a l k\n\nInput: turmoil\nOutput: t u r m o i l\n\nThe instruction was", "metadata": { "examples_seen": "Input: nesting\nOutput: n e s t i n g\n\nInput: premise\nOutput: p r e m i s e\n\nInput: source\nOutput: s o u r c e\n\nInput: talk\nOutput: t a l k\n\nInput: turmoil\nOutput: t u r m o i l" } }, "78": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: touchdown\nOutput: t o u c h d o w n\n\nInput: courtesy\nOutput: c o u r t e s y\n\nInput: defeat\nOutput: d e f e a t\n\nInput: opinion\nOutput: o p i n i o n\n\nInput: escape\nOutput: e s c a p e\n\nThe instruction was", "metadata": { "examples_seen": "Input: touchdown\nOutput: t o u c h d o w n\n\nInput: courtesy\nOutput: c o u r t e s y\n\nInput: defeat\nOutput: d e f e a t\n\nInput: opinion\nOutput: o p i n i o n\n\nInput: escape\nOutput: e s c a p e" } }, "79": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: earth\nOutput: e a r t h\n\nInput: membership\nOutput: m e m b e r s h i p\n\nInput: permission\nOutput: p e r m i s s i o n\n\nInput: peace\nOutput: p e a c e\n\nInput: granite\nOutput: g r a n i t e\n\nThe instruction was", "metadata": { "examples_seen": "Input: earth\nOutput: e a r t h\n\nInput: membership\nOutput: m e m b e r s h i p\n\nInput: permission\nOutput: p e r m i s s i o n\n\nInput: peace\nOutput: p e a c e\n\nInput: granite\nOutput: g r a n i t e" } }, "80": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: focus\nOutput: f o c u s\n\nInput: assemble\nOutput: a s s e m b l e\n\nInput: gate\nOutput: g a t e\n\nInput: liquor\nOutput: l i q u o r\n\nInput: cassette\nOutput: c a s s e t t e\n\nThe instruction was", "metadata": { "examples_seen": "Input: focus\nOutput: f o c u s\n\nInput: assemble\nOutput: a s s e m b l e\n\nInput: gate\nOutput: g a t e\n\nInput: liquor\nOutput: l i q u o r\n\nInput: cassette\nOutput: c a s s e t t e" } }, "81": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: referee\nOutput: r e f e r e e\n\nInput: battalion\nOutput: b a t t a l i o n\n\nInput: coordination\nOutput: c o o r d i n a t i o n\n\nInput: icon\nOutput: i c o n\n\nInput: acquaintance\nOutput: a c q u a i n t a n c e\n\nThe instruction was", "metadata": { "examples_seen": "Input: referee\nOutput: r e f e r e e\n\nInput: battalion\nOutput: b a t t a l i o n\n\nInput: coordination\nOutput: c o o r d i n a t i o n\n\nInput: icon\nOutput: i c o n\n\nInput: acquaintance\nOutput: a c q u a i n t a n c e" } }, "82": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: foraging\nOutput: f o r a g i n g\n\nInput: remix\nOutput: r e m i x\n\nInput: chair\nOutput: c h a i r\n\nInput: consultant\nOutput: c o n s u l t a n t\n\nInput: chocolate\nOutput: c h o c o l a t e\n\nThe instruction was", "metadata": { "examples_seen": "Input: foraging\nOutput: f o r a g i n g\n\nInput: remix\nOutput: r e m i x\n\nInput: chair\nOutput: c h a i r\n\nInput: consultant\nOutput: c o n s u l t a n t\n\nInput: chocolate\nOutput: c h o c o l a t e" } }, "83": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: baseball\nOutput: b a s e b a l l\n\nInput: citadel\nOutput: c i t a d e l\n\nInput: puck\nOutput: p u c k\n\nInput: mission\nOutput: m i s s i o n\n\nInput: ministry\nOutput: m i n i s t r y\n\nThe instruction was", "metadata": { "examples_seen": "Input: baseball\nOutput: b a s e b a l l\n\nInput: citadel\nOutput: c i t a d e l\n\nInput: puck\nOutput: p u c k\n\nInput: mission\nOutput: m i s s i o n\n\nInput: ministry\nOutput: m i n i s t r y" } }, "84": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dissatisfaction\nOutput: d i s s a t i s f a c t i o n\n\nInput: load\nOutput: l o a d\n\nInput: soundtrack\nOutput: s o u n d t r a c k\n\nInput: gesture\nOutput: g e s t u r e\n\nInput: variation\nOutput: v a r i a t i o n\n\nThe instruction was", "metadata": { "examples_seen": "Input: dissatisfaction\nOutput: d i s s a t i s f a c t i o n\n\nInput: load\nOutput: l o a d\n\nInput: soundtrack\nOutput: s o u n d t r a c k\n\nInput: gesture\nOutput: g e s t u r e\n\nInput: variation\nOutput: v a r i a t i o n" } }, "85": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: frontman\nOutput: f r o n t m a n\n\nInput: threat\nOutput: t h r e a t\n\nInput: stiff\nOutput: s t i f f\n\nInput: resort\nOutput: r e s o r t\n\nInput: population\nOutput: p o p u l a t i o n\n\nThe instruction was", "metadata": { "examples_seen": "Input: frontman\nOutput: f r o n t m a n\n\nInput: threat\nOutput: t h r e a t\n\nInput: stiff\nOutput: s t i f f\n\nInput: resort\nOutput: r e s o r t\n\nInput: population\nOutput: p o p u l a t i o n" } }, "86": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: vegetation\nOutput: v e g e t a t i o n\n\nInput: none\nOutput: n o n e\n\nInput: pension\nOutput: p e n s i o n\n\nInput: simulation\nOutput: s i m u l a t i o n\n\nInput: trailer\nOutput: t r a i l e r\n\nThe instruction was", "metadata": { "examples_seen": "Input: vegetation\nOutput: v e g e t a t i o n\n\nInput: none\nOutput: n o n e\n\nInput: pension\nOutput: p e n s i o n\n\nInput: simulation\nOutput: s i m u l a t i o n\n\nInput: trailer\nOutput: t r a i l e r" } }, "87": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: jurisdiction\nOutput: j u r i s d i c t i o n\n\nInput: exploration\nOutput: e x p l o r a t i o n\n\nInput: apology\nOutput: a p o l o g y\n\nInput: acre\nOutput: a c r e\n\nInput: masterpiece\nOutput: m a s t e r p i e c e\n\nThe instruction was", "metadata": { "examples_seen": "Input: jurisdiction\nOutput: j u r i s d i c t i o n\n\nInput: exploration\nOutput: e x p l o r a t i o n\n\nInput: apology\nOutput: a p o l o g y\n\nInput: acre\nOutput: a c r e\n\nInput: masterpiece\nOutput: m a s t e r p i e c e" } }, "88": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: modeling\nOutput: m o d e l i n g\n\nInput: exposure\nOutput: e x p o s u r e\n\nInput: screenwriter\nOutput: s c r e e n w r i t e r\n\nInput: chance\nOutput: c h a n c e\n\nInput: doorway\nOutput: d o o r w a y\n\nThe instruction was", "metadata": { "examples_seen": "Input: modeling\nOutput: m o d e l i n g\n\nInput: exposure\nOutput: e x p o s u r e\n\nInput: screenwriter\nOutput: s c r e e n w r i t e r\n\nInput: chance\nOutput: c h a n c e\n\nInput: doorway\nOutput: d o o r w a y" } }, "89": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: detention\nOutput: d e t e n t i o n\n\nInput: word\nOutput: w o r d\n\nInput: baseball\nOutput: b a s e b a l l\n\nInput: homosexuality\nOutput: h o m o s e x u a l i t y\n\nInput: shooting\nOutput: s h o o t i n g\n\nThe instruction was", "metadata": { "examples_seen": "Input: detention\nOutput: d e t e n t i o n\n\nInput: word\nOutput: w o r d\n\nInput: baseball\nOutput: b a s e b a l l\n\nInput: homosexuality\nOutput: h o m o s e x u a l i t y\n\nInput: shooting\nOutput: s h o o t i n g" } }, "90": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: weight\nOutput: w e i g h t\n\nInput: quest\nOutput: q u e s t\n\nInput: theater\nOutput: t h e a t e r\n\nInput: copy\nOutput: c o p y\n\nInput: lent\nOutput: l e n t\n\nThe instruction was", "metadata": { "examples_seen": "Input: weight\nOutput: w e i g h t\n\nInput: quest\nOutput: q u e s t\n\nInput: theater\nOutput: t h e a t e r\n\nInput: copy\nOutput: c o p y\n\nInput: lent\nOutput: l e n t" } }, "91": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: planet\nOutput: p l a n e t\n\nInput: theater\nOutput: t h e a t e r\n\nInput: tube\nOutput: t u b e\n\nInput: disability\nOutput: d i s a b i l i t y\n\nInput: filming\nOutput: f i l m i n g\n\nThe instruction was", "metadata": { "examples_seen": "Input: planet\nOutput: p l a n e t\n\nInput: theater\nOutput: t h e a t e r\n\nInput: tube\nOutput: t u b e\n\nInput: disability\nOutput: d i s a b i l i t y\n\nInput: filming\nOutput: f i l m i n g" } }, "92": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bore\nOutput: b o r e\n\nInput: barrage\nOutput: b a r r a g e\n\nInput: dish\nOutput: d i s h\n\nInput: parent\nOutput: p a r e n t\n\nInput: exit\nOutput: e x i t\n\nThe instruction was", "metadata": { "examples_seen": "Input: bore\nOutput: b o r e\n\nInput: barrage\nOutput: b a r r a g e\n\nInput: dish\nOutput: d i s h\n\nInput: parent\nOutput: p a r e n t\n\nInput: exit\nOutput: e x i t" } }, "93": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: assertion\nOutput: a s s e r t i o n\n\nInput: diameter\nOutput: d i a m e t e r\n\nInput: populace\nOutput: p o p u l a c e\n\nInput: whale\nOutput: w h a l e\n\nInput: songwriter\nOutput: s o n g w r i t e r\n\nThe instruction was", "metadata": { "examples_seen": "Input: assertion\nOutput: a s s e r t i o n\n\nInput: diameter\nOutput: d i a m e t e r\n\nInput: populace\nOutput: p o p u l a c e\n\nInput: whale\nOutput: w h a l e\n\nInput: songwriter\nOutput: s o n g w r i t e r" } }, "94": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dissolution\nOutput: d i s s o l u t i o n\n\nInput: terrorist\nOutput: t e r r o r i s t\n\nInput: viewer\nOutput: v i e w e r\n\nInput: privacy\nOutput: p r i v a c y\n\nInput: contact\nOutput: c o n t a c t\n\nThe instruction was", "metadata": { "examples_seen": "Input: dissolution\nOutput: d i s s o l u t i o n\n\nInput: terrorist\nOutput: t e r r o r i s t\n\nInput: viewer\nOutput: v i e w e r\n\nInput: privacy\nOutput: p r i v a c y\n\nInput: contact\nOutput: c o n t a c t" } }, "95": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: barrage\nOutput: b a r r a g e\n\nInput: bench\nOutput: b e n c h\n\nInput: cross\nOutput: c r o s s\n\nInput: result\nOutput: r e s u l t\n\nInput: phenomena\nOutput: p h e n o m e n a\n\nThe instruction was", "metadata": { "examples_seen": "Input: barrage\nOutput: b a r r a g e\n\nInput: bench\nOutput: b e n c h\n\nInput: cross\nOutput: c r o s s\n\nInput: result\nOutput: r e s u l t\n\nInput: phenomena\nOutput: p h e n o m e n a" } }, "96": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: height\nOutput: h e i g h t\n\nInput: pipe\nOutput: p i p e\n\nInput: battlefield\nOutput: b a t t l e f i e l d\n\nInput: plateau\nOutput: p l a t e a u\n\nInput: regard\nOutput: r e g a r d\n\nThe instruction was", "metadata": { "examples_seen": "Input: height\nOutput: h e i g h t\n\nInput: pipe\nOutput: p i p e\n\nInput: battlefield\nOutput: b a t t l e f i e l d\n\nInput: plateau\nOutput: p l a t e a u\n\nInput: regard\nOutput: r e g a r d" } }, "97": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: gasoline\nOutput: g a s o l i n e\n\nInput: scouting\nOutput: s c o u t i n g\n\nInput: exhibition\nOutput: e x h i b i t i o n\n\nInput: farmer\nOutput: f a r m e r\n\nInput: emission\nOutput: e m i s s i o n\n\nThe instruction was", "metadata": { "examples_seen": "Input: gasoline\nOutput: g a s o l i n e\n\nInput: scouting\nOutput: s c o u t i n g\n\nInput: exhibition\nOutput: e x h i b i t i o n\n\nInput: farmer\nOutput: f a r m e r\n\nInput: emission\nOutput: e m i s s i o n" } }, "98": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: fortress\nOutput: f o r t r e s s\n\nInput: routine\nOutput: r o u t i n e\n\nInput: inauguration\nOutput: i n a u g u r a t i o n\n\nInput: complement\nOutput: c o m p l e m e n t\n\nInput: resort\nOutput: r e s o r t\n\nThe instruction was", "metadata": { "examples_seen": "Input: fortress\nOutput: f o r t r e s s\n\nInput: routine\nOutput: r o u t i n e\n\nInput: inauguration\nOutput: i n a u g u r a t i o n\n\nInput: complement\nOutput: c o m p l e m e n t\n\nInput: resort\nOutput: r e s o r t" } }, "99": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: respiratory\nOutput: r e s p i r a t o r y\n\nInput: war\nOutput: w a r\n\nInput: equality\nOutput: e q u a l i t y\n\nInput: aluminium\nOutput: a l u m i n i u m\n\nInput: placement\nOutput: p l a c e m e n t\n\nThe instruction was", "metadata": { "examples_seen": "Input: respiratory\nOutput: r e s p i r a t o r y\n\nInput: war\nOutput: w a r\n\nInput: equality\nOutput: e q u a l i t y\n\nInput: aluminium\nOutput: a l u m i n i u m\n\nInput: placement\nOutput: p l a c e m e n t" } }, "100": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: specialist\nOutput: s p e c i a l i s t\n\nInput: product\nOutput: p r o d u c t\n\nInput: group\nOutput: g r o u p\n\nInput: intention\nOutput: i n t e n t i o n\n\nInput: faction\nOutput: f a c t i o n\n\nThe instruction was", "metadata": { "examples_seen": "Input: specialist\nOutput: s p e c i a l i s t\n\nInput: product\nOutput: p r o d u c t\n\nInput: group\nOutput: g r o u p\n\nInput: intention\nOutput: i n t e n t i o n\n\nInput: faction\nOutput: f a c t i o n" } } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/induction_input/negation.json ================================================ { "examples": { "1": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The argricultural region known for cattle.\nOutput: The argricultural region not known for cattle.\n\nInput: Tires are circular.\nOutput: Tires are not circular.\n\nInput: Rutabagas are vegetables.\nOutput: Rutabagas are not vegetables.\n\nInput: The location of the colonial government that administered the new colony was in Sydney.\nOutput: The location of the colonial government that administered the new colony was not in Sydney.\n\nInput: La Voz was written in Spanish.\nOutput: La Voz was not written in Spanish.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The argricultural region known for cattle.\nOutput: The argricultural region not known for cattle.\n\nInput: Tires are circular.\nOutput: Tires are not circular.\n\nInput: Rutabagas are vegetables.\nOutput: Rutabagas are not vegetables.\n\nInput: The location of the colonial government that administered the new colony was in Sydney.\nOutput: The location of the colonial government that administered the new colony was not in Sydney.\n\nInput: La Voz was written in Spanish.\nOutput: La Voz was not written in Spanish." } }, "2": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Peole can dance.\nOutput: Peole cannot dance.\n\nInput: Besides the british, the French colonized Africa.\nOutput: Besides the british, the French did not colonize Africa.\n\nInput: John Lyons died in England.\nOutput: John Lyons did not die in England.\n\nInput: The primary race of students attending Christian academies was white.\nOutput: The primary race of students attending Christian academies was not white.\n\nInput: Gold can be melted.\nOutput: Gold cannot be melted.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Peole can dance.\nOutput: Peole cannot dance.\n\nInput: Besides the british, the French colonized Africa.\nOutput: Besides the british, the French did not colonize Africa.\n\nInput: John Lyons died in England.\nOutput: John Lyons did not die in England.\n\nInput: The primary race of students attending Christian academies was white.\nOutput: The primary race of students attending Christian academies was not white.\n\nInput: Gold can be melted.\nOutput: Gold cannot be melted." } }, "3": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The motion picture industry is accociated with a disctrict named Hollywood.\nOutput: The motion picture industry is accociated with a disctrict not named Hollywood.\n\nInput: Judging someone requires wisdom.\nOutput: Judging someone does not require wisdom.\n\nInput: Jennifer Huppert was born in Melbourne.\nOutput: Jennifer Huppert was not born in Melbourne.\n\nInput: When economic inequality is smaller, more waste and pollution is created.\nOutput: When economic inequality is smaller, more waste and pollution is not created.\n\nInput: Soap can be carved.\nOutput: Soap cannot be carved.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The motion picture industry is accociated with a disctrict named Hollywood.\nOutput: The motion picture industry is accociated with a disctrict not named Hollywood.\n\nInput: Judging someone requires wisdom.\nOutput: Judging someone does not require wisdom.\n\nInput: Jennifer Huppert was born in Melbourne.\nOutput: Jennifer Huppert was not born in Melbourne.\n\nInput: When economic inequality is smaller, more waste and pollution is created.\nOutput: When economic inequality is smaller, more waste and pollution is not created.\n\nInput: Soap can be carved.\nOutput: Soap cannot be carved." } }, "4": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Mannheim-Heidelberg International Filmfestival is located in Heidelberg.\nOutput: Mannheim-Heidelberg International Filmfestival is not located in Heidelberg.\n\nInput: The headquarter of Smith & Nephew is in London.\nOutput: The headquarter of Smith & Nephew is not in London.\n\nInput: Russell Stannard was born in London.\nOutput: Russell Stannard was not born in London.\n\nInput: Buzzwords are annoying.\nOutput: Buzzwords are not annoying.\n\nInput: Nagoya University is located in Japan.\nOutput: Nagoya University is not located in Japan.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Mannheim-Heidelberg International Filmfestival is located in Heidelberg.\nOutput: Mannheim-Heidelberg International Filmfestival is not located in Heidelberg.\n\nInput: The headquarter of Smith & Nephew is in London.\nOutput: The headquarter of Smith & Nephew is not in London.\n\nInput: Russell Stannard was born in London.\nOutput: Russell Stannard was not born in London.\n\nInput: Buzzwords are annoying.\nOutput: Buzzwords are not annoying.\n\nInput: Nagoya University is located in Japan.\nOutput: Nagoya University is not located in Japan." } }, "5": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: molecule consists of atomic structure.\nOutput: molecule does not consist of atomic structure.\n\nInput: The most industrially developed country in the African Great Lakes Region is Kenya.\nOutput: The most industrially developed country in the African Great Lakes Region is not Kenya.\n\nInput: Silk is organic.\nOutput: Silk is not organic.\n\nInput: Concrete is sturdy.\nOutput: Concrete is not sturdy.\n\nInput: Coral Lansbury died in Philadelphia.\nOutput: Coral Lansbury did not die in Philadelphia.\n\nThe instruction was", "metadata": { "examples_seen": "Input: molecule consists of atomic structure.\nOutput: molecule does not consist of atomic structure.\n\nInput: The most industrially developed country in the African Great Lakes Region is Kenya.\nOutput: The most industrially developed country in the African Great Lakes Region is not Kenya.\n\nInput: Silk is organic.\nOutput: Silk is not organic.\n\nInput: Concrete is sturdy.\nOutput: Concrete is not sturdy.\n\nInput: Coral Lansbury died in Philadelphia.\nOutput: Coral Lansbury did not die in Philadelphia." } }, "6": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Rollerblade was founded in Minneapolis.\nOutput: Rollerblade was not founded in Minneapolis.\n\nInput: Australia maintains diplomatic relations with Bulgaria.\nOutput: Australia does not maintain diplomatic relations with Bulgaria.\n\nInput: Frederick Hickford was born in Brunswick.\nOutput: Frederick Hickford was not born in Brunswick.\n\nInput: Brains are Complex.\nOutput: Brains are not Complex.\n\nInput: Phycoerytherin has red color.\nOutput: Phycoerytherin does not have red color.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Rollerblade was founded in Minneapolis.\nOutput: Rollerblade was not founded in Minneapolis.\n\nInput: Australia maintains diplomatic relations with Bulgaria.\nOutput: Australia does not maintain diplomatic relations with Bulgaria.\n\nInput: Frederick Hickford was born in Brunswick.\nOutput: Frederick Hickford was not born in Brunswick.\n\nInput: Brains are Complex.\nOutput: Brains are not Complex.\n\nInput: Phycoerytherin has red color.\nOutput: Phycoerytherin does not have red color." } }, "7": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: John Preston died in Portland.\nOutput: John Preston did not die in Portland.\n\nInput: Friction produces heat.\nOutput: Friction does not produce heat.\n\nInput: An objective that would be labeled as practical is a skill.\nOutput: An objective that would be labeled as practical is not a skill.\n\nInput: Giovanni Battista Primi died in Genoa.\nOutput: Giovanni Battista Primi did not die in Genoa.\n\nInput: Zucchini is a vegetable.\nOutput: Zucchini is not a vegetable.\n\nThe instruction was", "metadata": { "examples_seen": "Input: John Preston died in Portland.\nOutput: John Preston did not die in Portland.\n\nInput: Friction produces heat.\nOutput: Friction does not produce heat.\n\nInput: An objective that would be labeled as practical is a skill.\nOutput: An objective that would be labeled as practical is not a skill.\n\nInput: Giovanni Battista Primi died in Genoa.\nOutput: Giovanni Battista Primi did not die in Genoa.\n\nInput: Zucchini is a vegetable.\nOutput: Zucchini is not a vegetable." } }, "8": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Frederick Hickford was born in Brunswick.\nOutput: Frederick Hickford was not born in Brunswick.\n\nInput: The Norman architecture idiom is the Romanesque.\nOutput: The Norman architecture idiom is not the Romanesque.\n\nInput: Simon Binnendijk was born in Leiden.\nOutput: Simon Binnendijk was not born in Leiden.\n\nInput: Marcus Tuite was born in Dublin.\nOutput: Marcus Tuite was not born in Dublin.\n\nInput: Rekkit Rabbit was created in France.\nOutput: Rekkit Rabbit was not created in France.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Frederick Hickford was born in Brunswick.\nOutput: Frederick Hickford was not born in Brunswick.\n\nInput: The Norman architecture idiom is the Romanesque.\nOutput: The Norman architecture idiom is not the Romanesque.\n\nInput: Simon Binnendijk was born in Leiden.\nOutput: Simon Binnendijk was not born in Leiden.\n\nInput: Marcus Tuite was born in Dublin.\nOutput: Marcus Tuite was not born in Dublin.\n\nInput: Rekkit Rabbit was created in France.\nOutput: Rekkit Rabbit was not created in France." } }, "9": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Avner W. Less was born in Berlin.\nOutput: Avner W. Less was not born in Berlin.\n\nInput: A dam is made of concert.\nOutput: A dam is not made of concert.\n\nInput: Sugar can be melted.\nOutput: Sugar cannot be melted.\n\nInput: Eliza Stewart Boyd was born in Canada.\nOutput: Eliza Stewart Boyd was not born in Canada.\n\nInput: People are flawed.\nOutput: People are not flawed.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Avner W. Less was born in Berlin.\nOutput: Avner W. Less was not born in Berlin.\n\nInput: A dam is made of concert.\nOutput: A dam is not made of concert.\n\nInput: Sugar can be melted.\nOutput: Sugar cannot be melted.\n\nInput: Eliza Stewart Boyd was born in Canada.\nOutput: Eliza Stewart Boyd was not born in Canada.\n\nInput: People are flawed.\nOutput: People are not flawed." } }, "10": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Anne Audain was born in Auckland.\nOutput: Anne Audain was not born in Auckland.\n\nInput: A priest can baptise.\nOutput: A priest cannot baptise.\n\nInput: Lancia Lybra is produced by Fiat.\nOutput: Lancia Lybra is not produced by Fiat.\n\nInput: Howard Griffiths was born in Wales.\nOutput: Howard Griffiths was not born in Wales.\n\nInput: Some truths are complex.\nOutput: Some truths are not complex.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Anne Audain was born in Auckland.\nOutput: Anne Audain was not born in Auckland.\n\nInput: A priest can baptise.\nOutput: A priest cannot baptise.\n\nInput: Lancia Lybra is produced by Fiat.\nOutput: Lancia Lybra is not produced by Fiat.\n\nInput: Howard Griffiths was born in Wales.\nOutput: Howard Griffiths was not born in Wales.\n\nInput: Some truths are complex.\nOutput: Some truths are not complex." } }, "11": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Joseph Priestley was a clergyman.\nOutput: Joseph Priestley was not a clergyman.\n\nInput: Chris McGregor plays jazz music.\nOutput: Chris McGregor does not play jazz music.\n\nInput: Gail Sidonie Sobat was born in Calgary.\nOutput: Gail Sidonie Sobat was not born in Calgary.\n\nInput: Aerospace has managed to survive major military spending cutbacks.\nOutput: Aerospace has not managed to survive major military spending cutbacks.\n\nInput: Isaac's chains made out of silver.\nOutput: Isaac's chains were not made out of silver.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Joseph Priestley was a clergyman.\nOutput: Joseph Priestley was not a clergyman.\n\nInput: Chris McGregor plays jazz music.\nOutput: Chris McGregor does not play jazz music.\n\nInput: Gail Sidonie Sobat was born in Calgary.\nOutput: Gail Sidonie Sobat was not born in Calgary.\n\nInput: Aerospace has managed to survive major military spending cutbacks.\nOutput: Aerospace has not managed to survive major military spending cutbacks.\n\nInput: Isaac's chains made out of silver.\nOutput: Isaac's chains were not made out of silver." } }, "12": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Riccardo Azzoli was born in Rome.\nOutput: Riccardo Azzoli was not born in Rome.\n\nInput: Tesla created the natural phenomenon of lightning artifically.\nOutput: Tesla did not create the natural phenomenon of lightning artifically.\n\nInput: Gay-Lussac and von Humboldt discovered that in water hydrogen was present in twice the amount of oxygen.\nOutput: Gay-Lussac and von Humboldt discovered that in water hydrogen was not present in twice the amount of oxygen.\n\nInput: The 1947 film Wyoming Kid was adapted for ABC into the television show Cheyenne.\nOutput: The 1947 film Wyoming Kid was not adapted for ABC into the television show Cheyenne.\n\nInput: The current rights holders for the Primer League were ITV.\nOutput: The current rights holders for the Primer League were not ITV.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Riccardo Azzoli was born in Rome.\nOutput: Riccardo Azzoli was not born in Rome.\n\nInput: Tesla created the natural phenomenon of lightning artifically.\nOutput: Tesla did not create the natural phenomenon of lightning artifically.\n\nInput: Gay-Lussac and von Humboldt discovered that in water hydrogen was present in twice the amount of oxygen.\nOutput: Gay-Lussac and von Humboldt discovered that in water hydrogen was not present in twice the amount of oxygen.\n\nInput: The 1947 film Wyoming Kid was adapted for ABC into the television show Cheyenne.\nOutput: The 1947 film Wyoming Kid was not adapted for ABC into the television show Cheyenne.\n\nInput: The current rights holders for the Primer League were ITV.\nOutput: The current rights holders for the Primer League were not ITV." } }, "13": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Kohlrabi is a vegetable.\nOutput: Kohlrabi is not a vegetable.\n\nInput: The Gene Autry Show was originally aired on CBS.\nOutput: The Gene Autry Show was not originally aired on CBS.\n\nInput: Diving is for relaxation.\nOutput: Diving is not for relaxation.\n\nInput: Avner W. Less was born in Berlin.\nOutput: Avner W. Less was not born in Berlin.\n\nInput: Waltham High School is located in Massachusetts.\nOutput: Waltham High School is not located in Massachusetts.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Kohlrabi is a vegetable.\nOutput: Kohlrabi is not a vegetable.\n\nInput: The Gene Autry Show was originally aired on CBS.\nOutput: The Gene Autry Show was not originally aired on CBS.\n\nInput: Diving is for relaxation.\nOutput: Diving is not for relaxation.\n\nInput: Avner W. Less was born in Berlin.\nOutput: Avner W. Less was not born in Berlin.\n\nInput: Waltham High School is located in Massachusetts.\nOutput: Waltham High School is not located in Massachusetts." } }, "14": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Boris Souvarine died in Paris.\nOutput: Boris Souvarine did not die in Paris.\n\nInput: Silk is organic.\nOutput: Silk is not organic.\n\nInput: Jennifer Huppert was born in Melbourne.\nOutput: Jennifer Huppert was not born in Melbourne.\n\nInput: Lago is part of Nigeria.\nOutput: Lago is not part of Nigeria.\n\nInput: The main religion in Kenya is Christianity.\nOutput: The main religion in Kenya is not Christianity.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Boris Souvarine died in Paris.\nOutput: Boris Souvarine did not die in Paris.\n\nInput: Silk is organic.\nOutput: Silk is not organic.\n\nInput: Jennifer Huppert was born in Melbourne.\nOutput: Jennifer Huppert was not born in Melbourne.\n\nInput: Lago is part of Nigeria.\nOutput: Lago is not part of Nigeria.\n\nInput: The main religion in Kenya is Christianity.\nOutput: The main religion in Kenya is not Christianity." } }, "15": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Northtown is located in Nevada.\nOutput: Northtown is not located in Nevada.\n\nInput: In Groner v Minister for Education, the Court of Justice accepted Gaelic to be required to teach in Dublin colleges.\nOutput: In Groner v Minister for Education, the Court of Justice did not accept Gaelic to be required to teach in Dublin colleges.\n\nInput: The tenth largest ethnic group located in Jacksonville is Arab.\nOutput: The tenth largest ethnic group not located in Jacksonville is Arab.\n\nInput: Stars are big.\nOutput: Stars are not big.\n\nInput: Submarines can dive.\nOutput: Submarines cannot dive.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Northtown is located in Nevada.\nOutput: Northtown is not located in Nevada.\n\nInput: In Groner v Minister for Education, the Court of Justice accepted Gaelic to be required to teach in Dublin colleges.\nOutput: In Groner v Minister for Education, the Court of Justice did not accept Gaelic to be required to teach in Dublin colleges.\n\nInput: The tenth largest ethnic group located in Jacksonville is Arab.\nOutput: The tenth largest ethnic group not located in Jacksonville is Arab.\n\nInput: Stars are big.\nOutput: Stars are not big.\n\nInput: Submarines can dive.\nOutput: Submarines cannot dive." } }, "16": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Katana is made of steel.\nOutput: Katana is not made of steel.\n\nInput: Some rice is black.\nOutput: Some rice is not black.\n\nInput: Jeff is dying.\nOutput: Jeff is not dying.\n\nInput: Sometimes swimming causes cramps.\nOutput: Sometimes swimming does not cause cramps.\n\nInput: Jonas Phillips died in Philadelphia.\nOutput: Jonas Phillips did not die in Philadelphia.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Katana is made of steel.\nOutput: Katana is not made of steel.\n\nInput: Some rice is black.\nOutput: Some rice is not black.\n\nInput: Jeff is dying.\nOutput: Jeff is not dying.\n\nInput: Sometimes swimming causes cramps.\nOutput: Sometimes swimming does not cause cramps.\n\nInput: Jonas Phillips died in Philadelphia.\nOutput: Jonas Phillips did not die in Philadelphia." } }, "17": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The later Yuan emperors were disinterested in administration.\nOutput: The later Yuan emperors were not disinterested in administration.\n\nInput: Accursius was born in Florence.\nOutput: Accursius was not born in Florence.\n\nInput: Faget designed for the Apollo command module to be cone shaped.\nOutput: Faget designed for the Apollo command module to not be cone shaped.\n\nInput: The marginal utility of wealth per income per person decreases as that person becomes richer.\nOutput: The marginal utility of wealth per income per person does not decreases as that person becomes richer.\n\nInput: Australia maintains diplomatic relations with Bulgaria.\nOutput: Australia does not maintain diplomatic relations with Bulgaria.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The later Yuan emperors were disinterested in administration.\nOutput: The later Yuan emperors were not disinterested in administration.\n\nInput: Accursius was born in Florence.\nOutput: Accursius was not born in Florence.\n\nInput: Faget designed for the Apollo command module to be cone shaped.\nOutput: Faget designed for the Apollo command module to not be cone shaped.\n\nInput: The marginal utility of wealth per income per person decreases as that person becomes richer.\nOutput: The marginal utility of wealth per income per person does not decreases as that person becomes richer.\n\nInput: Australia maintains diplomatic relations with Bulgaria.\nOutput: Australia does not maintain diplomatic relations with Bulgaria." } }, "18": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: William Wilson died in Newark.\nOutput: William Wilson did not die in Newark.\n\nInput: Thomas Kelso died in Baltimore.\nOutput: Thomas Kelso did not die in Baltimore.\n\nInput: Sative is made of cannabis.\nOutput: Sative is not made of cannabis.\n\nInput: Leafs are green.\nOutput: Leafs are not green.\n\nInput: Sadat is for peace with Israel.\nOutput: Sadat is not for peace with Israel.\n\nThe instruction was", "metadata": { "examples_seen": "Input: William Wilson died in Newark.\nOutput: William Wilson did not die in Newark.\n\nInput: Thomas Kelso died in Baltimore.\nOutput: Thomas Kelso did not die in Baltimore.\n\nInput: Sative is made of cannabis.\nOutput: Sative is not made of cannabis.\n\nInput: Leafs are green.\nOutput: Leafs are not green.\n\nInput: Sadat is for peace with Israel.\nOutput: Sadat is not for peace with Israel." } }, "19": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: François Maspero was born in Paris.\nOutput: François Maspero was not born in Paris.\n\nInput: Under the terms of the Scotland Act of 1978, an elected assembly to be set up in Edinburgh.\nOutput: Under the terms of the Scotland Act of 1978, an elected assembly to not be set up in Edinburgh.\n\nInput: Lockier Burges died in Perth.\nOutput: Lockier Burges did not die in Perth.\n\nInput: Coconuts can be dried.\nOutput: Coconuts cannot be dried.\n\nInput: When faced with defeat by Genghis Khan's forces, the Shah fled.\nOutput: When faced with defeat by Genghis Khan's forces, the Shah did not fled.\n\nThe instruction was", "metadata": { "examples_seen": "Input: François Maspero was born in Paris.\nOutput: François Maspero was not born in Paris.\n\nInput: Under the terms of the Scotland Act of 1978, an elected assembly to be set up in Edinburgh.\nOutput: Under the terms of the Scotland Act of 1978, an elected assembly to not be set up in Edinburgh.\n\nInput: Lockier Burges died in Perth.\nOutput: Lockier Burges did not die in Perth.\n\nInput: Coconuts can be dried.\nOutput: Coconuts cannot be dried.\n\nInput: When faced with defeat by Genghis Khan's forces, the Shah fled.\nOutput: When faced with defeat by Genghis Khan's forces, the Shah did not fled." } }, "20": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Income inequality began to increase in the US in the 1970s.\nOutput: Income inequality did not begin to increase in the US in the 1970s.\n\nInput: Gazzetta Chimica Italiana was written in Italian.\nOutput: Gazzetta Chimica Italiana was not written in Italian.\n\nInput: The planet named for a fly-by mission by an empty S-IVB was Venus.\nOutput: The planet named for a fly-by mission by an empty S-IVB was not Venus.\n\nInput: House Speaker is a legal term in Pennsylvania.\nOutput: House Speaker is not a legal term in Pennsylvania.\n\nInput: Conradin of Bornada died in Bologna.\nOutput: Conradin of Bornada did not die in Bologna.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Income inequality began to increase in the US in the 1970s.\nOutput: Income inequality did not begin to increase in the US in the 1970s.\n\nInput: Gazzetta Chimica Italiana was written in Italian.\nOutput: Gazzetta Chimica Italiana was not written in Italian.\n\nInput: The planet named for a fly-by mission by an empty S-IVB was Venus.\nOutput: The planet named for a fly-by mission by an empty S-IVB was not Venus.\n\nInput: House Speaker is a legal term in Pennsylvania.\nOutput: House Speaker is not a legal term in Pennsylvania.\n\nInput: Conradin of Bornada died in Bologna.\nOutput: Conradin of Bornada did not die in Bologna." } }, "21": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Along with Hamilton, Wellington and Christchurch, Auckland is one of the largest cities in New Zealand.\nOutput: Along with Hamilton, Wellington and Christchurch, Auckland is not one of the largest cities in New Zealand.\n\nInput: The machine gun was invented in the European region.\nOutput: The machine gun was not invented in the European region.\n\nInput: Sometimes swimming causes cramps.\nOutput: Sometimes swimming does not cause cramps.\n\nInput: Humans exhibit emotions.\nOutput: Humans do not exhibit emotions.\n\nInput: The Secret History says Genghis Khan sustained his mortal injuries while hunting.\nOutput: The Secret History says Genghis Khan did not sustain his mortal injuries while hunting.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Along with Hamilton, Wellington and Christchurch, Auckland is one of the largest cities in New Zealand.\nOutput: Along with Hamilton, Wellington and Christchurch, Auckland is not one of the largest cities in New Zealand.\n\nInput: The machine gun was invented in the European region.\nOutput: The machine gun was not invented in the European region.\n\nInput: Sometimes swimming causes cramps.\nOutput: Sometimes swimming does not cause cramps.\n\nInput: Humans exhibit emotions.\nOutput: Humans do not exhibit emotions.\n\nInput: The Secret History says Genghis Khan sustained his mortal injuries while hunting.\nOutput: The Secret History says Genghis Khan did not sustain his mortal injuries while hunting." } }, "22": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Under the terms of the Scotland Act of 1978, an elected assembly to be set up in Edinburgh.\nOutput: Under the terms of the Scotland Act of 1978, an elected assembly to not be set up in Edinburgh.\n\nInput: Marilyn Shrude was born in Chicago.\nOutput: Marilyn Shrude was not born in Chicago.\n\nInput: The Wanted was founded in England.\nOutput: The Wanted was not founded in England.\n\nInput: Bones are stiff.\nOutput: Bones are not stiff.\n\nInput: The birds are singing.\nOutput: The birds are not singing.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Under the terms of the Scotland Act of 1978, an elected assembly to be set up in Edinburgh.\nOutput: Under the terms of the Scotland Act of 1978, an elected assembly to not be set up in Edinburgh.\n\nInput: Marilyn Shrude was born in Chicago.\nOutput: Marilyn Shrude was not born in Chicago.\n\nInput: The Wanted was founded in England.\nOutput: The Wanted was not founded in England.\n\nInput: Bones are stiff.\nOutput: Bones are not stiff.\n\nInput: The birds are singing.\nOutput: The birds are not singing." } }, "23": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The French ancestry of some South Africans is identified by names.\nOutput: The French ancestry of some South Africans is identified by names.\n\nInput: Metal can be tarnished.\nOutput: Metal cannot be tarnished.\n\nInput: Denmark is part of Scandinavia.\nOutput: Denmark is not part of Scandinavia.\n\nInput: The color of the jerseys in Super Bowl XXXII when Elway was quarterback was blue.\nOutput: The color of the jerseys in Super Bowl XXXII when Elway was quarterback was not blue.\n\nInput: Waltham High School is located in Massachusetts.\nOutput: Waltham High School is not located in Massachusetts.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The French ancestry of some South Africans is identified by names.\nOutput: The French ancestry of some South Africans is identified by names.\n\nInput: Metal can be tarnished.\nOutput: Metal cannot be tarnished.\n\nInput: Denmark is part of Scandinavia.\nOutput: Denmark is not part of Scandinavia.\n\nInput: The color of the jerseys in Super Bowl XXXII when Elway was quarterback was blue.\nOutput: The color of the jerseys in Super Bowl XXXII when Elway was quarterback was not blue.\n\nInput: Waltham High School is located in Massachusetts.\nOutput: Waltham High School is not located in Massachusetts." } }, "24": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Francis W. Cushman was born in Brighton.\nOutput: Francis W. Cushman was not born in Brighton.\n\nInput: Maja Tucholke was born in Leipzig.\nOutput: Maja Tucholke was not born in Leipzig.\n\nInput: Eden Roc is a hotel.\nOutput: Eden Roc is not a hotel.\n\nInput: The main religion in Kenya is Christianity.\nOutput: The main religion in Kenya is not Christianity.\n\nInput: Alcohol can burn.\nOutput: Alcohol cannot burn.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Francis W. Cushman was born in Brighton.\nOutput: Francis W. Cushman was not born in Brighton.\n\nInput: Maja Tucholke was born in Leipzig.\nOutput: Maja Tucholke was not born in Leipzig.\n\nInput: Eden Roc is a hotel.\nOutput: Eden Roc is not a hotel.\n\nInput: The main religion in Kenya is Christianity.\nOutput: The main religion in Kenya is not Christianity.\n\nInput: Alcohol can burn.\nOutput: Alcohol cannot burn." } }, "25": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: When the Parliament was done with it the building on George IV Bridge was demolished.\nOutput: When the Parliament was done with it the building on George IV Bridge was not demolished.\n\nInput: Equines are mammals.\nOutput: Equines are not mammals.\n\nInput: The country that signed a treaty to give it special status in in 1985 was Greenland.\nOutput: The country that signed a treaty to give it special status in in 1985 was not Greenland.\n\nInput: One of the earliest examples of Civil Disobedience was brought forward by the Egyptians.\nOutput: One of the earliest examples of Civil Disobedience was not brought forward by the Egyptians.\n\nInput: A steam plant compared to that of an internal combustion engine has lower power-to-weight ratio.\nOutput: A steam plant compared to that of an internal combustion engine has not lower power-to-weight ratio.\n\nThe instruction was", "metadata": { "examples_seen": "Input: When the Parliament was done with it the building on George IV Bridge was demolished.\nOutput: When the Parliament was done with it the building on George IV Bridge was not demolished.\n\nInput: Equines are mammals.\nOutput: Equines are not mammals.\n\nInput: The country that signed a treaty to give it special status in in 1985 was Greenland.\nOutput: The country that signed a treaty to give it special status in in 1985 was not Greenland.\n\nInput: One of the earliest examples of Civil Disobedience was brought forward by the Egyptians.\nOutput: One of the earliest examples of Civil Disobedience was not brought forward by the Egyptians.\n\nInput: A steam plant compared to that of an internal combustion engine has lower power-to-weight ratio.\nOutput: A steam plant compared to that of an internal combustion engine has not lower power-to-weight ratio." } }, "26": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The Saint-Evroul monks were known for the singing tradition.\nOutput: The Saint-Evroul monks were not known for the singing tradition.\n\nInput: The Swiss center of the Calvinist movement was located in Geneva.\nOutput: The Swiss center of the Calvinist movement was not located in Geneva.\n\nInput: The official language of Zabaykalsky Krai is Russian.\nOutput: The official language of Zabaykalsky Krai is not Russian.\n\nInput: A dam is made of concert.\nOutput: A dam is not made of concert.\n\nInput: Anne Rogers Clark died in Wilmington.\nOutput: Anne Rogers Clark did not die in Wilmington.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The Saint-Evroul monks were known for the singing tradition.\nOutput: The Saint-Evroul monks were not known for the singing tradition.\n\nInput: The Swiss center of the Calvinist movement was located in Geneva.\nOutput: The Swiss center of the Calvinist movement was not located in Geneva.\n\nInput: The official language of Zabaykalsky Krai is Russian.\nOutput: The official language of Zabaykalsky Krai is not Russian.\n\nInput: A dam is made of concert.\nOutput: A dam is not made of concert.\n\nInput: Anne Rogers Clark died in Wilmington.\nOutput: Anne Rogers Clark did not die in Wilmington." } }, "27": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Vertebrates are diverse.\nOutput: Vertebrates are not diverse.\n\nInput: Changes in the appearance of Doctor Who are explained by regeneration.\nOutput: Changes in the appearance of Doctor Who are not explained by regeneration.\n\nInput: Raghuram Rajan is an economist.\nOutput: Raghuram Rajan is not an economist.\n\nInput: Lockier Burges died in Perth.\nOutput: Lockier Burges did not die in Perth.\n\nInput: A glock is a type of gun.\nOutput: A glock is not a type of gun.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Vertebrates are diverse.\nOutput: Vertebrates are not diverse.\n\nInput: Changes in the appearance of Doctor Who are explained by regeneration.\nOutput: Changes in the appearance of Doctor Who are not explained by regeneration.\n\nInput: Raghuram Rajan is an economist.\nOutput: Raghuram Rajan is not an economist.\n\nInput: Lockier Burges died in Perth.\nOutput: Lockier Burges did not die in Perth.\n\nInput: A glock is a type of gun.\nOutput: A glock is not a type of gun." } }, "28": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Tom Luken was born in Cincinnati.\nOutput: Tom Luken was not born in Cincinnati.\n\nInput: The Japanese residents of Fresno primarily lived in the ethnic neighborhood of Chinatown in Fresno in 1940.\nOutput: The Japanese residents of Fresno primarily did not live in the ethnic neighborhood of Chinatown in Fresno in 1940.\n\nInput: Tancred play a roll in the conquest of Jerusalem.\nOutput: Tancred do not play a roll in the conquest of Jerusalem.\n\nInput: John James Masquerier died in Brighton.\nOutput: John James Masquerier did not die in Brighton.\n\nInput: Mewat is located in India.\nOutput: Mewat is not located in India.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Tom Luken was born in Cincinnati.\nOutput: Tom Luken was not born in Cincinnati.\n\nInput: The Japanese residents of Fresno primarily lived in the ethnic neighborhood of Chinatown in Fresno in 1940.\nOutput: The Japanese residents of Fresno primarily did not live in the ethnic neighborhood of Chinatown in Fresno in 1940.\n\nInput: Tancred play a roll in the conquest of Jerusalem.\nOutput: Tancred do not play a roll in the conquest of Jerusalem.\n\nInput: John James Masquerier died in Brighton.\nOutput: John James Masquerier did not die in Brighton.\n\nInput: Mewat is located in India.\nOutput: Mewat is not located in India." } }, "29": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Ma Kelu was born in Shanghai.\nOutput: Ma Kelu was not born in Shanghai.\n\nInput: In 2009, Doctor Who started to be shown on Canadian cable station Space.\nOutput: In 2009, Doctor Who did not start to be shown on Canadian cable station Space.\n\nInput: Tinkerbell is a fairy.\nOutput: Tinkerbell is not a fairy.\n\nInput: Siamak Shayeghi was born in Iran.\nOutput: Siamak Shayeghi was not born in Iran.\n\nInput: John Banting died in Hastings.\nOutput: John Banting did not die in Hastings.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Ma Kelu was born in Shanghai.\nOutput: Ma Kelu was not born in Shanghai.\n\nInput: In 2009, Doctor Who started to be shown on Canadian cable station Space.\nOutput: In 2009, Doctor Who did not start to be shown on Canadian cable station Space.\n\nInput: Tinkerbell is a fairy.\nOutput: Tinkerbell is not a fairy.\n\nInput: Siamak Shayeghi was born in Iran.\nOutput: Siamak Shayeghi was not born in Iran.\n\nInput: John Banting died in Hastings.\nOutput: John Banting did not die in Hastings." } }, "30": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Tom Luken was born in Cincinnati.\nOutput: Tom Luken was not born in Cincinnati.\n\nInput: Hydrogen is a fuel.\nOutput: Hydrogen is not a fuel.\n\nInput: Some people are entrepreneurs.\nOutput: Some people are not entrepreneurs.\n\nInput: Waxwing is a bird.\nOutput: Waxwing is not a bird.\n\nInput: France lose a war in the 1950's is Vietnam.\nOutput: France lose a war in the 1950's is not Vietnam.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Tom Luken was born in Cincinnati.\nOutput: Tom Luken was not born in Cincinnati.\n\nInput: Hydrogen is a fuel.\nOutput: Hydrogen is not a fuel.\n\nInput: Some people are entrepreneurs.\nOutput: Some people are not entrepreneurs.\n\nInput: Waxwing is a bird.\nOutput: Waxwing is not a bird.\n\nInput: France lose a war in the 1950's is Vietnam.\nOutput: France lose a war in the 1950's is not Vietnam." } }, "31": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Joan Vincent Murray was born in London.\nOutput: Joan Vincent Murray was not born in London.\n\nInput: Jeff is dying.\nOutput: Jeff is not dying.\n\nInput: Winterpills was founded in Northampton, Massachusetts.\nOutput: Winterpills was not founded in Northampton, Massachusetts.\n\nInput: Bananas are curved.\nOutput: Bananas are not curved.\n\nInput: Giorgio Antoniotto died in Calais.\nOutput: Giorgio Antoniotto did not die in Calais.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Joan Vincent Murray was born in London.\nOutput: Joan Vincent Murray was not born in London.\n\nInput: Jeff is dying.\nOutput: Jeff is not dying.\n\nInput: Winterpills was founded in Northampton, Massachusetts.\nOutput: Winterpills was not founded in Northampton, Massachusetts.\n\nInput: Bananas are curved.\nOutput: Bananas are not curved.\n\nInput: Giorgio Antoniotto died in Calais.\nOutput: Giorgio Antoniotto did not die in Calais." } }, "32": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: William Hardy was born in Jamaica.\nOutput: William Hardy was not born in Jamaica.\n\nInput: Peole can dance.\nOutput: Peole cannot dance.\n\nInput: The country with the most illiterate adults in the world is India.\nOutput: The country with the most illiterate adults in the world is not India.\n\nInput: Henry Tozer died in Rotterdam.\nOutput: Henry Tozer did not die in Rotterdam.\n\nInput: The original language of Radio Times is English.\nOutput: The original language of Radio Times is not English.\n\nThe instruction was", "metadata": { "examples_seen": "Input: William Hardy was born in Jamaica.\nOutput: William Hardy was not born in Jamaica.\n\nInput: Peole can dance.\nOutput: Peole cannot dance.\n\nInput: The country with the most illiterate adults in the world is India.\nOutput: The country with the most illiterate adults in the world is not India.\n\nInput: Henry Tozer died in Rotterdam.\nOutput: Henry Tozer did not die in Rotterdam.\n\nInput: The original language of Radio Times is English.\nOutput: The original language of Radio Times is not English." } }, "33": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: François Maspero was born in Paris.\nOutput: François Maspero was not born in Paris.\n\nInput: Yakubu Gowon is a politician by profession.\nOutput: Yakubu Gowon is not a politician by profession.\n\nInput: The first US state to have compulsory education was Massachusetts.\nOutput: The first US state to have compulsory education was not Massachusetts.\n\nInput: Libreville is the capital of Gabon.\nOutput: Libreville is not the capital of Gabon.\n\nInput: Villa La Pietra is located in Italy.\nOutput: Villa La Pietra is not located in Italy.\n\nThe instruction was", "metadata": { "examples_seen": "Input: François Maspero was born in Paris.\nOutput: François Maspero was not born in Paris.\n\nInput: Yakubu Gowon is a politician by profession.\nOutput: Yakubu Gowon is not a politician by profession.\n\nInput: The first US state to have compulsory education was Massachusetts.\nOutput: The first US state to have compulsory education was not Massachusetts.\n\nInput: Libreville is the capital of Gabon.\nOutput: Libreville is not the capital of Gabon.\n\nInput: Villa La Pietra is located in Italy.\nOutput: Villa La Pietra is not located in Italy." } }, "34": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Fabiola is affiliated with the Christianity religion.\nOutput: Fabiola is not affiliated with the Christianity religion.\n\nInput: Some people are peacemakers.\nOutput: Some people are not peacemakers.\n\nInput: Despite having been born in Newcastle, Abhisit Vejjajiva prime minister of Thailand.\nOutput: Despite having been born in Newcastle, Abhisit Vejjajiva is not prime minister of Thailand.\n\nInput: undecane consists of carbon.\nOutput: undecane does not consist of carbon.\n\nInput: Dogs are hairy.\nOutput: Dogs are not hairy.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Fabiola is affiliated with the Christianity religion.\nOutput: Fabiola is not affiliated with the Christianity religion.\n\nInput: Some people are peacemakers.\nOutput: Some people are not peacemakers.\n\nInput: Despite having been born in Newcastle, Abhisit Vejjajiva prime minister of Thailand.\nOutput: Despite having been born in Newcastle, Abhisit Vejjajiva is not prime minister of Thailand.\n\nInput: undecane consists of carbon.\nOutput: undecane does not consist of carbon.\n\nInput: Dogs are hairy.\nOutput: Dogs are not hairy." } }, "35": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Swans are graceful.\nOutput: Swans are not graceful.\n\nInput: The Panthers head coach for the 2015 season was Rivera.\nOutput: The Panthers head coach for the 2015 season was not Rivera.\n\nInput: Writting requires ink.\nOutput: Writting does not require ink.\n\nInput: If a teacher teaches not inside a building, they might teach outdoors.\nOutput: If a teacher teaches not inside a building, they might not teach outdoors.\n\nInput: Pigs are intelligent.\nOutput: Pigs are not intelligent.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Swans are graceful.\nOutput: Swans are not graceful.\n\nInput: The Panthers head coach for the 2015 season was Rivera.\nOutput: The Panthers head coach for the 2015 season was not Rivera.\n\nInput: Writting requires ink.\nOutput: Writting does not require ink.\n\nInput: If a teacher teaches not inside a building, they might teach outdoors.\nOutput: If a teacher teaches not inside a building, they might not teach outdoors.\n\nInput: Pigs are intelligent.\nOutput: Pigs are not intelligent." } }, "36": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The Naked Vicar Show was created in Australia.\nOutput: The Naked Vicar Show was not created in Australia.\n\nInput: Marian Porwit died in Warsaw.\nOutput: Marian Porwit did not die in Warsaw.\n\nInput: Andrea Ratuski was born in Winnipeg.\nOutput: Andrea Ratuski was not born in Winnipeg.\n\nInput: Northtown is located in Nevada.\nOutput: Northtown is not located in Nevada.\n\nInput: Former WWE NXT champion Neville born in Newcastle.\nOutput: Former WWE NXT champion Neville is not born in Newcastle.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The Naked Vicar Show was created in Australia.\nOutput: The Naked Vicar Show was not created in Australia.\n\nInput: Marian Porwit died in Warsaw.\nOutput: Marian Porwit did not die in Warsaw.\n\nInput: Andrea Ratuski was born in Winnipeg.\nOutput: Andrea Ratuski was not born in Winnipeg.\n\nInput: Northtown is located in Nevada.\nOutput: Northtown is not located in Nevada.\n\nInput: Former WWE NXT champion Neville born in Newcastle.\nOutput: Former WWE NXT champion Neville is not born in Newcastle." } }, "37": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The organization that runs the satellite that measured dust that landed on the Amazon is NASA.\nOutput: The organization that runs the satellite that measured dust that landed on the Amazon is not NASA.\n\nInput: The official language of jersiais is English.\nOutput: The official language of jersiais is not English.\n\nInput: The most successful team sport in Kenya is cricket.\nOutput: The most successful team sport in Kenya is not cricket.\n\nInput: Mongolia maintains diplomatic relations with Japan.\nOutput: Mongolia does not maintain diplomatic relations with Japan.\n\nInput: Anthony Veiller died in Hollywood, California.\nOutput: Anthony Veiller did not die in Hollywood, California.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The organization that runs the satellite that measured dust that landed on the Amazon is NASA.\nOutput: The organization that runs the satellite that measured dust that landed on the Amazon is not NASA.\n\nInput: The official language of jersiais is English.\nOutput: The official language of jersiais is not English.\n\nInput: The most successful team sport in Kenya is cricket.\nOutput: The most successful team sport in Kenya is not cricket.\n\nInput: Mongolia maintains diplomatic relations with Japan.\nOutput: Mongolia does not maintain diplomatic relations with Japan.\n\nInput: Anthony Veiller died in Hollywood, California.\nOutput: Anthony Veiller did not die in Hollywood, California." } }, "38": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The official language of Shakhunya is Russian.\nOutput: The official language of Shakhunya is not Russian.\n\nInput: Katharine Goodson died in London.\nOutput: Katharine Goodson did not die in London.\n\nInput: Joseph Priestley was a clergyman.\nOutput: Joseph Priestley was not a clergyman.\n\nInput: Frederick William Seward is a politician by profession.\nOutput: Frederick William Seward is not a politician by profession.\n\nInput: Newcastle has a proud history of theatre.\nOutput: Newcastle has not a proud history of theatre.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The official language of Shakhunya is Russian.\nOutput: The official language of Shakhunya is not Russian.\n\nInput: Katharine Goodson died in London.\nOutput: Katharine Goodson did not die in London.\n\nInput: Joseph Priestley was a clergyman.\nOutput: Joseph Priestley was not a clergyman.\n\nInput: Frederick William Seward is a politician by profession.\nOutput: Frederick William Seward is not a politician by profession.\n\nInput: Newcastle has a proud history of theatre.\nOutput: Newcastle has not a proud history of theatre." } }, "39": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Horses are beuatiful.\nOutput: Horses are not beuatiful.\n\nInput: Some herbs are poisonis.\nOutput: Some herbs are not poisonis.\n\nInput: Gamaliel Bradford died in Cambridge.\nOutput: Gamaliel Bradford did not die in Cambridge.\n\nInput: The original language of Amarcord is Italian.\nOutput: The original language of Amarcord is not Italian.\n\nInput: William Macomb died in Detroit.\nOutput: William Macomb did not die in Detroit.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Horses are beuatiful.\nOutput: Horses are not beuatiful.\n\nInput: Some herbs are poisonis.\nOutput: Some herbs are not poisonis.\n\nInput: Gamaliel Bradford died in Cambridge.\nOutput: Gamaliel Bradford did not die in Cambridge.\n\nInput: The original language of Amarcord is Italian.\nOutput: The original language of Amarcord is not Italian.\n\nInput: William Macomb died in Detroit.\nOutput: William Macomb did not die in Detroit." } }, "40": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Peter Elmsley died in Brighton.\nOutput: Peter Elmsley did not die in Brighton.\n\nInput: Giancarlo Primo was born in Italy.\nOutput: Giancarlo Primo was not born in Italy.\n\nInput: The Teatr Wielki is a theatre.\nOutput: The Teatr Wielki is not a theatre.\n\nInput: Some umbrellas are blue.\nOutput: Some umbrellas are not blue.\n\nInput: Trains can brake.\nOutput: Trains cannot brake.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Peter Elmsley died in Brighton.\nOutput: Peter Elmsley did not die in Brighton.\n\nInput: Giancarlo Primo was born in Italy.\nOutput: Giancarlo Primo was not born in Italy.\n\nInput: The Teatr Wielki is a theatre.\nOutput: The Teatr Wielki is not a theatre.\n\nInput: Some umbrellas are blue.\nOutput: Some umbrellas are not blue.\n\nInput: Trains can brake.\nOutput: Trains cannot brake." } }, "41": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Robert is loud.\nOutput: Robert is not loud.\n\nInput: Peter Metro plays reggae music.\nOutput: Peter Metro does not play reggae music.\n\nInput: Romulus Augustus is affiliated with the Christianity religion.\nOutput: Romulus Augustus is not affiliated with the Christianity religion.\n\nInput: Iron can be forged.\nOutput: Iron cannot be forged.\n\nInput: Issues like abortion and drug policy are legislated on Westminster.\nOutput: Issues like abortion and drug policy are not legislated on Westminster.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Robert is loud.\nOutput: Robert is not loud.\n\nInput: Peter Metro plays reggae music.\nOutput: Peter Metro does not play reggae music.\n\nInput: Romulus Augustus is affiliated with the Christianity religion.\nOutput: Romulus Augustus is not affiliated with the Christianity religion.\n\nInput: Iron can be forged.\nOutput: Iron cannot be forged.\n\nInput: Issues like abortion and drug policy are legislated on Westminster.\nOutput: Issues like abortion and drug policy are not legislated on Westminster." } }, "42": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Some rice is black.\nOutput: Some rice is not black.\n\nInput: The most successful team sport in Kenya is cricket.\nOutput: The most successful team sport in Kenya is not cricket.\n\nInput: Sative is made of cannabis.\nOutput: Sative is not made of cannabis.\n\nInput: Ludvig Drescher was born in Copenhagen.\nOutput: Ludvig Drescher was not born in Copenhagen.\n\nInput: Sharks are big.\nOutput: Sharks are not big.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Some rice is black.\nOutput: Some rice is not black.\n\nInput: The most successful team sport in Kenya is cricket.\nOutput: The most successful team sport in Kenya is not cricket.\n\nInput: Sative is made of cannabis.\nOutput: Sative is not made of cannabis.\n\nInput: Ludvig Drescher was born in Copenhagen.\nOutput: Ludvig Drescher was not born in Copenhagen.\n\nInput: Sharks are big.\nOutput: Sharks are not big." } }, "43": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Germany maintains diplomatic relations with Benin.\nOutput: Germany does not maintain diplomatic relations with Benin.\n\nInput: Romaine Fielding died in Hollywood.\nOutput: Romaine Fielding did not die in Hollywood.\n\nInput: Sonic Team is owned by Sega.\nOutput: Sonic Team is not owned by Sega.\n\nInput: Incompetent government's commitment to social justice limited to rhetoric.\nOutput: Incompetent government's commitment to social justice did not limit to rhetoric.\n\nInput: Some ships can be made of wood.\nOutput: Some ships cannot be made of wood.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Germany maintains diplomatic relations with Benin.\nOutput: Germany does not maintain diplomatic relations with Benin.\n\nInput: Romaine Fielding died in Hollywood.\nOutput: Romaine Fielding did not die in Hollywood.\n\nInput: Sonic Team is owned by Sega.\nOutput: Sonic Team is not owned by Sega.\n\nInput: Incompetent government's commitment to social justice limited to rhetoric.\nOutput: Incompetent government's commitment to social justice did not limit to rhetoric.\n\nInput: Some ships can be made of wood.\nOutput: Some ships cannot be made of wood." } }, "44": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Hero of Alexandria's was Greek.\nOutput: Hero of Alexandria's was not Greek.\n\nInput: The AS-205 mission was originally canceled.\nOutput: The AS-205 mission was not originally canceled.\n\nInput: Some flowers are fragrant.\nOutput: Some flowers are not fragrant.\n\nInput: The lotion is sticky.\nOutput: The lotion is not sticky.\n\nInput: The original language of I've Loved You So Long is French.\nOutput: The original language of I've Loved You So Long is not French.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Hero of Alexandria's was Greek.\nOutput: Hero of Alexandria's was not Greek.\n\nInput: The AS-205 mission was originally canceled.\nOutput: The AS-205 mission was not originally canceled.\n\nInput: Some flowers are fragrant.\nOutput: Some flowers are not fragrant.\n\nInput: The lotion is sticky.\nOutput: The lotion is not sticky.\n\nInput: The original language of I've Loved You So Long is French.\nOutput: The original language of I've Loved You So Long is not French." } }, "45": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The brand of car manufactured in Broadmeadows is Ford.\nOutput: The brand of car manufactured in Broadmeadows is not Ford.\n\nInput: Zbigniew Badowski is an architect.\nOutput: Zbigniew Badowski is not an architect.\n\nInput: Bill Stall died in Sacramento.\nOutput: Bill Stall did not die in Sacramento.\n\nInput: According to Schurf's letter Luther's return caused joy.\nOutput: According to Schurf's letter Luther's return did not cause joy.\n\nInput: When the Parliament was done with it the building on George IV Bridge was demolished.\nOutput: When the Parliament was done with it the building on George IV Bridge was not demolished.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The brand of car manufactured in Broadmeadows is Ford.\nOutput: The brand of car manufactured in Broadmeadows is not Ford.\n\nInput: Zbigniew Badowski is an architect.\nOutput: Zbigniew Badowski is not an architect.\n\nInput: Bill Stall died in Sacramento.\nOutput: Bill Stall did not die in Sacramento.\n\nInput: According to Schurf's letter Luther's return caused joy.\nOutput: According to Schurf's letter Luther's return did not cause joy.\n\nInput: When the Parliament was done with it the building on George IV Bridge was demolished.\nOutput: When the Parliament was done with it the building on George IV Bridge was not demolished." } }, "46": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The Davidian Revolution refers to the arrival of the Norman culture in Scotland.\nOutput: The Davidian Revolution does not refer to the arrival of the Norman culture in Scotland.\n\nInput: Libreville is the capital of Gabon.\nOutput: Libreville is not the capital of Gabon.\n\nInput: Pauline Mills McGibbon died in Toronto.\nOutput: Pauline Mills McGibbon did not die in Toronto.\n\nInput: Nikola Tesla was Serbian by ethnicity.\nOutput: Nikola Tesla was not Serbian by ethnicity.\n\nInput: A glock is a type of gun.\nOutput: A glock is not a type of gun.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The Davidian Revolution refers to the arrival of the Norman culture in Scotland.\nOutput: The Davidian Revolution does not refer to the arrival of the Norman culture in Scotland.\n\nInput: Libreville is the capital of Gabon.\nOutput: Libreville is not the capital of Gabon.\n\nInput: Pauline Mills McGibbon died in Toronto.\nOutput: Pauline Mills McGibbon did not die in Toronto.\n\nInput: Nikola Tesla was Serbian by ethnicity.\nOutput: Nikola Tesla was not Serbian by ethnicity.\n\nInput: A glock is a type of gun.\nOutput: A glock is not a type of gun." } }, "47": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Southern California touches Pacific coastline.\nOutput: Southern California does not touch Pacific coastline.\n\nInput: Anne Rogers Clark died in Wilmington.\nOutput: Anne Rogers Clark did not die in Wilmington.\n\nInput: Winterpills was founded in Northampton, Massachusetts.\nOutput: Winterpills was not founded in Northampton, Massachusetts.\n\nInput: Luther was an adviser in other areas' churches.\nOutput: Luther was not an adviser in other areas' churches.\n\nInput: Emilio Menéndez was born in Madrid.\nOutput: Emilio Menéndez was not born in Madrid.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Southern California touches Pacific coastline.\nOutput: Southern California does not touch Pacific coastline.\n\nInput: Anne Rogers Clark died in Wilmington.\nOutput: Anne Rogers Clark did not die in Wilmington.\n\nInput: Winterpills was founded in Northampton, Massachusetts.\nOutput: Winterpills was not founded in Northampton, Massachusetts.\n\nInput: Luther was an adviser in other areas' churches.\nOutput: Luther was not an adviser in other areas' churches.\n\nInput: Emilio Menéndez was born in Madrid.\nOutput: Emilio Menéndez was not born in Madrid." } }, "48": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Martin Luther said that the lone granter of forgiveness was God.\nOutput: Martin Luther said that the lone granter of forgiveness was not God.\n\nInput: Hasdai Crescas is affiliated with the Jewish religion.\nOutput: Hasdai Crescas is not affiliated with the Jewish religion.\n\nInput: Bill Jennings was born in Norwich.\nOutput: Bill Jennings was not born in Norwich.\n\nInput: Joy is a type of emotion.\nOutput: Joy is not a type of emotion.\n\nInput: A significant minority of in Warsaw were Jewish.\nOutput: A significant minority of in Warsaw were not Jewish.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Martin Luther said that the lone granter of forgiveness was God.\nOutput: Martin Luther said that the lone granter of forgiveness was not God.\n\nInput: Hasdai Crescas is affiliated with the Jewish religion.\nOutput: Hasdai Crescas is not affiliated with the Jewish religion.\n\nInput: Bill Jennings was born in Norwich.\nOutput: Bill Jennings was not born in Norwich.\n\nInput: Joy is a type of emotion.\nOutput: Joy is not a type of emotion.\n\nInput: A significant minority of in Warsaw were Jewish.\nOutput: A significant minority of in Warsaw were not Jewish." } }, "49": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The capital of Libya is Tripoli.\nOutput: The capital of Libya is not Tripoli.\n\nInput: Henry van de Velde was born in Antwerp.\nOutput: Henry van de Velde was not born in Antwerp.\n\nInput: The Danny Kaye Show was originally aired on CBS.\nOutput: The Danny Kaye Show was not originally aired on CBS.\n\nInput: Karl Ohs died in Helena.\nOutput: Karl Ohs did not die in Helena.\n\nInput: A dam is made of concert.\nOutput: A dam is not made of concert.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The capital of Libya is Tripoli.\nOutput: The capital of Libya is not Tripoli.\n\nInput: Henry van de Velde was born in Antwerp.\nOutput: Henry van de Velde was not born in Antwerp.\n\nInput: The Danny Kaye Show was originally aired on CBS.\nOutput: The Danny Kaye Show was not originally aired on CBS.\n\nInput: Karl Ohs died in Helena.\nOutput: Karl Ohs did not die in Helena.\n\nInput: A dam is made of concert.\nOutput: A dam is not made of concert." } }, "50": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: In Groner v Minister for Education, the Court of Justice accepted Gaelic to be required to teach in Dublin colleges.\nOutput: In Groner v Minister for Education, the Court of Justice did not accept Gaelic to be required to teach in Dublin colleges.\n\nInput: Mechanics are unimaginative.\nOutput: Mechanics are not unimaginative.\n\nInput: Kenya maintains diplomatic relations with Italy.\nOutput: Kenya does not maintain diplomatic relations with Italy.\n\nInput: The Naked Vicar Show was created in Australia.\nOutput: The Naked Vicar Show was not created in Australia.\n\nInput: After leaving Gospic, Tesla went to Prague.\nOutput: After leaving Gospic, Tesla did not go to Prague.\n\nThe instruction was", "metadata": { "examples_seen": "Input: In Groner v Minister for Education, the Court of Justice accepted Gaelic to be required to teach in Dublin colleges.\nOutput: In Groner v Minister for Education, the Court of Justice did not accept Gaelic to be required to teach in Dublin colleges.\n\nInput: Mechanics are unimaginative.\nOutput: Mechanics are not unimaginative.\n\nInput: Kenya maintains diplomatic relations with Italy.\nOutput: Kenya does not maintain diplomatic relations with Italy.\n\nInput: The Naked Vicar Show was created in Australia.\nOutput: The Naked Vicar Show was not created in Australia.\n\nInput: After leaving Gospic, Tesla went to Prague.\nOutput: After leaving Gospic, Tesla did not go to Prague." } }, "51": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Stiff Valentine was founded in Vancouver, Canada.\nOutput: Stiff Valentine was not founded in Vancouver, Canada.\n\nInput: Garnett Brown plays jazz music.\nOutput: Garnett Brown does not play jazz music.\n\nInput: In the Treaty of Lisbon 2007 Ireland refused to content to changes.\nOutput: In the Treaty of Lisbon 2007 Ireland did not refuse to content to changes.\n\nInput: Genghis Khan's grave site may have been stampeded over by horses.\nOutput: Genghis Khan's grave site may not have been stampeded over by horses.\n\nInput: Insects can move.\nOutput: Insects cannot move.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Stiff Valentine was founded in Vancouver, Canada.\nOutput: Stiff Valentine was not founded in Vancouver, Canada.\n\nInput: Garnett Brown plays jazz music.\nOutput: Garnett Brown does not play jazz music.\n\nInput: In the Treaty of Lisbon 2007 Ireland refused to content to changes.\nOutput: In the Treaty of Lisbon 2007 Ireland did not refuse to content to changes.\n\nInput: Genghis Khan's grave site may have been stampeded over by horses.\nOutput: Genghis Khan's grave site may not have been stampeded over by horses.\n\nInput: Insects can move.\nOutput: Insects cannot move." } }, "52": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ESPN and ABC sign an eight year deal with NASCAR in 2005.\nOutput: ESPN and ABC did not sign an eight year deal with NASCAR in 2005.\n\nInput: Duncan Ban MacIntyre died in Edinburgh.\nOutput: Duncan Ban MacIntyre did not die in Edinburgh.\n\nInput: Dunragit is a village.\nOutput: Dunragit is not a village.\n\nInput: In relationship to Tesla, Julian Hathorne was a friend.\nOutput: In relationship to Tesla, Julian Hathorne was not a friend.\n\nInput: undecane consists of carbon.\nOutput: undecane does not consist of carbon.\n\nThe instruction was", "metadata": { "examples_seen": "Input: ESPN and ABC sign an eight year deal with NASCAR in 2005.\nOutput: ESPN and ABC did not sign an eight year deal with NASCAR in 2005.\n\nInput: Duncan Ban MacIntyre died in Edinburgh.\nOutput: Duncan Ban MacIntyre did not die in Edinburgh.\n\nInput: Dunragit is a village.\nOutput: Dunragit is not a village.\n\nInput: In relationship to Tesla, Julian Hathorne was a friend.\nOutput: In relationship to Tesla, Julian Hathorne was not a friend.\n\nInput: undecane consists of carbon.\nOutput: undecane does not consist of carbon." } }, "53": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Cultural imperialism to sway local elites was used by the Roman historic empire.\nOutput: Cultural imperialism to sway local elites was not used by the Roman historic empire.\n\nInput: The official language of Shakhunya is Russian.\nOutput: The official language of Shakhunya is not Russian.\n\nInput: Dunragit is a village.\nOutput: Dunragit is not a village.\n\nInput: Oranges can be squeezed.\nOutput: Oranges cannot be squeezed.\n\nInput: Osterholz shares border with Bremen.\nOutput: Osterholz does not share border with Bremen.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Cultural imperialism to sway local elites was used by the Roman historic empire.\nOutput: Cultural imperialism to sway local elites was not used by the Roman historic empire.\n\nInput: The official language of Shakhunya is Russian.\nOutput: The official language of Shakhunya is not Russian.\n\nInput: Dunragit is a village.\nOutput: Dunragit is not a village.\n\nInput: Oranges can be squeezed.\nOutput: Oranges cannot be squeezed.\n\nInput: Osterholz shares border with Bremen.\nOutput: Osterholz does not share border with Bremen." } }, "54": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Martin Smith was born in Southampton.\nOutput: Martin Smith was not born in Southampton.\n\nInput: Granite can be flamed.\nOutput: Granite cannot be flamed.\n\nInput: Hats can be soft.\nOutput: Hats cannot be soft.\n\nInput: The headquarter of Kroger is in Cincinnati, Ohio.\nOutput: The headquarter of Kroger is not in Cincinnati, Ohio.\n\nInput: Brains are Complex.\nOutput: Brains are not Complex.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Martin Smith was born in Southampton.\nOutput: Martin Smith was not born in Southampton.\n\nInput: Granite can be flamed.\nOutput: Granite cannot be flamed.\n\nInput: Hats can be soft.\nOutput: Hats cannot be soft.\n\nInput: The headquarter of Kroger is in Cincinnati, Ohio.\nOutput: The headquarter of Kroger is not in Cincinnati, Ohio.\n\nInput: Brains are Complex.\nOutput: Brains are not Complex." } }, "55": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Edward Vesala plays jazz music.\nOutput: Edward Vesala does not play jazz music.\n\nInput: Bones are quite hard.\nOutput: Bones are not quite hard.\n\nInput: The capital of Libya is Tripoli.\nOutput: The capital of Libya is not Tripoli.\n\nInput: Anne Rogers Clark died in Wilmington.\nOutput: Anne Rogers Clark did not die in Wilmington.\n\nInput: Ivughli Rural District is located in Iran.\nOutput: Ivughli Rural District is not located in Iran.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Edward Vesala plays jazz music.\nOutput: Edward Vesala does not play jazz music.\n\nInput: Bones are quite hard.\nOutput: Bones are not quite hard.\n\nInput: The capital of Libya is Tripoli.\nOutput: The capital of Libya is not Tripoli.\n\nInput: Anne Rogers Clark died in Wilmington.\nOutput: Anne Rogers Clark did not die in Wilmington.\n\nInput: Ivughli Rural District is located in Iran.\nOutput: Ivughli Rural District is not located in Iran." } }, "56": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Antonio Caggiano has the position of archbishop.\nOutput: Antonio Caggiano does not have the position of archbishop.\n\nInput: Mass production of similar items without a designated purchaser is typically part of manufacturing.\nOutput: Mass production of similar items without a designated purchaser is typically not part of manufacturing.\n\nInput: Along with Hamilton, Wellington and Christchurch, Auckland is one of the largest cities in New Zealand.\nOutput: Along with Hamilton, Wellington and Christchurch, Auckland is not one of the largest cities in New Zealand.\n\nInput: Cuba maintains diplomatic relations with Russia.\nOutput: Cuba does not maintain diplomatic relations with Russia.\n\nInput: Dance is a type of aerobics.\nOutput: Dance is not a type of aerobics.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Antonio Caggiano has the position of archbishop.\nOutput: Antonio Caggiano does not have the position of archbishop.\n\nInput: Mass production of similar items without a designated purchaser is typically part of manufacturing.\nOutput: Mass production of similar items without a designated purchaser is typically not part of manufacturing.\n\nInput: Along with Hamilton, Wellington and Christchurch, Auckland is one of the largest cities in New Zealand.\nOutput: Along with Hamilton, Wellington and Christchurch, Auckland is not one of the largest cities in New Zealand.\n\nInput: Cuba maintains diplomatic relations with Russia.\nOutput: Cuba does not maintain diplomatic relations with Russia.\n\nInput: Dance is a type of aerobics.\nOutput: Dance is not a type of aerobics." } }, "57": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Siamak Shayeghi was born in Iran.\nOutput: Siamak Shayeghi was not born in Iran.\n\nInput: Romulus Augustus is affiliated with the Christianity religion.\nOutput: Romulus Augustus is not affiliated with the Christianity religion.\n\nInput: D'Olier Street is in Dublin.\nOutput: D'Olier Street is not in Dublin.\n\nInput: In terms of most populous counties in the United States the lowest ranking is Riverside.\nOutput: In terms of most populous counties in the United States the lowest ranking is not Riverside.\n\nInput: Richard G. Wilkinson and Kate Pickett are British.\nOutput: Richard G. Wilkinson and Kate Pickett are not British.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Siamak Shayeghi was born in Iran.\nOutput: Siamak Shayeghi was not born in Iran.\n\nInput: Romulus Augustus is affiliated with the Christianity religion.\nOutput: Romulus Augustus is not affiliated with the Christianity religion.\n\nInput: D'Olier Street is in Dublin.\nOutput: D'Olier Street is not in Dublin.\n\nInput: In terms of most populous counties in the United States the lowest ranking is Riverside.\nOutput: In terms of most populous counties in the United States the lowest ranking is not Riverside.\n\nInput: Richard G. Wilkinson and Kate Pickett are British.\nOutput: Richard G. Wilkinson and Kate Pickett are not British." } }, "58": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sometimes swimming causes cramps.\nOutput: Sometimes swimming does not cause cramps.\n\nInput: That couch is black.\nOutput: That couch is not black.\n\nInput: The headquarter of E&Y is in London.\nOutput: The headquarter of E&Y is not in London.\n\nInput: The location of the colonial government that administered the new colony was in Sydney.\nOutput: The location of the colonial government that administered the new colony was not in Sydney.\n\nInput: A magazine contains articles.\nOutput: A magazine does not contain articles.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sometimes swimming causes cramps.\nOutput: Sometimes swimming does not cause cramps.\n\nInput: That couch is black.\nOutput: That couch is not black.\n\nInput: The headquarter of E&Y is in London.\nOutput: The headquarter of E&Y is not in London.\n\nInput: The location of the colonial government that administered the new colony was in Sydney.\nOutput: The location of the colonial government that administered the new colony was not in Sydney.\n\nInput: A magazine contains articles.\nOutput: A magazine does not contain articles." } }, "59": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Frans de Momper died in Antwerp.\nOutput: Frans de Momper did not die in Antwerp.\n\nInput: The American show Dallas changed the views of Romanians during the cold war.\nOutput: The American show Dallas did not change the views of Romanians during the cold war.\n\nInput: Tesla considered a curved shape of space as a \"false conception\".\nOutput: Tesla did not consider a curved shape of space as a \"false conception\".\n\nInput: The long-term preservation of the V&A collections is due to Conservation.\nOutput: The long-term preservation of the V&A collections is not due to Conservation.\n\nInput: Anne Rogers Clark died in Wilmington.\nOutput: Anne Rogers Clark did not die in Wilmington.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Frans de Momper died in Antwerp.\nOutput: Frans de Momper did not die in Antwerp.\n\nInput: The American show Dallas changed the views of Romanians during the cold war.\nOutput: The American show Dallas did not change the views of Romanians during the cold war.\n\nInput: Tesla considered a curved shape of space as a \"false conception\".\nOutput: Tesla did not consider a curved shape of space as a \"false conception\".\n\nInput: The long-term preservation of the V&A collections is due to Conservation.\nOutput: The long-term preservation of the V&A collections is not due to Conservation.\n\nInput: Anne Rogers Clark died in Wilmington.\nOutput: Anne Rogers Clark did not die in Wilmington." } }, "60": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Bones are stiff.\nOutput: Bones are not stiff.\n\nInput: The productivity ability of the poor is unleashed by education.\nOutput: The productivity ability of the poor is not unleashed by education.\n\nInput: Motion at a constant velocity is equal to rest.\nOutput: Motion at a constant velocity is not equal to rest.\n\nInput: After starting his company, Tesla first received patents.\nOutput: After starting his company, Tesla first did not receive patents.\n\nInput: Rachel Annand Taylor was born in Aberdeen.\nOutput: Rachel Annand Taylor was not born in Aberdeen.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Bones are stiff.\nOutput: Bones are not stiff.\n\nInput: The productivity ability of the poor is unleashed by education.\nOutput: The productivity ability of the poor is not unleashed by education.\n\nInput: Motion at a constant velocity is equal to rest.\nOutput: Motion at a constant velocity is not equal to rest.\n\nInput: After starting his company, Tesla first received patents.\nOutput: After starting his company, Tesla first did not receive patents.\n\nInput: Rachel Annand Taylor was born in Aberdeen.\nOutput: Rachel Annand Taylor was not born in Aberdeen." } }, "61": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Gambia is part of Africa.\nOutput: Gambia is not part of Africa.\n\nInput: Stanisław Grzesiuk died in Warsaw.\nOutput: Stanisław Grzesiuk did not die in Warsaw.\n\nInput: The Super Bowl sponsor was the Gap clothing company.\nOutput: The Super Bowl sponsor was not the Gap clothing company.\n\nInput: Ctesias is a physician by profession.\nOutput: Ctesias is not a physician by profession.\n\nInput: Swans are graceful.\nOutput: Swans are not graceful.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Gambia is part of Africa.\nOutput: Gambia is not part of Africa.\n\nInput: Stanisław Grzesiuk died in Warsaw.\nOutput: Stanisław Grzesiuk did not die in Warsaw.\n\nInput: The Super Bowl sponsor was the Gap clothing company.\nOutput: The Super Bowl sponsor was not the Gap clothing company.\n\nInput: Ctesias is a physician by profession.\nOutput: Ctesias is not a physician by profession.\n\nInput: Swans are graceful.\nOutput: Swans are not graceful." } }, "62": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Yambol Peak is located in Antarctica.\nOutput: Yambol Peak is not located in Antarctica.\n\nInput: Presidential Office is a legal term in Taiwan.\nOutput: Presidential Office is not a legal term in Taiwan.\n\nInput: Leser Landshuth died in Berlin.\nOutput: Leser Landshuth did not die in Berlin.\n\nInput: Former WWE NXT champion Neville born in Newcastle.\nOutput: Former WWE NXT champion Neville is not born in Newcastle.\n\nInput: Villa La Pietra is located in Italy.\nOutput: Villa La Pietra is not located in Italy.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Yambol Peak is located in Antarctica.\nOutput: Yambol Peak is not located in Antarctica.\n\nInput: Presidential Office is a legal term in Taiwan.\nOutput: Presidential Office is not a legal term in Taiwan.\n\nInput: Leser Landshuth died in Berlin.\nOutput: Leser Landshuth did not die in Berlin.\n\nInput: Former WWE NXT champion Neville born in Newcastle.\nOutput: Former WWE NXT champion Neville is not born in Newcastle.\n\nInput: Villa La Pietra is located in Italy.\nOutput: Villa La Pietra is not located in Italy." } }, "63": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Energy is needed to pack electrons densely together.\nOutput: Energy is not needed to pack electrons densely together.\n\nInput: Michelangelo died in Rome.\nOutput: Michelangelo did not die in Rome.\n\nInput: Newcastle was granted a new charter in 1589 by Elizabeth.\nOutput: Newcastle was not granted a new charter in 1589 by Elizabeth.\n\nInput: The gender that is more populous across all groups in Jacksonville is female.\nOutput: The gender that is more populous across all groups in Jacksonville is not female.\n\nInput: Alcohol can burn.\nOutput: Alcohol cannot burn.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Energy is needed to pack electrons densely together.\nOutput: Energy is not needed to pack electrons densely together.\n\nInput: Michelangelo died in Rome.\nOutput: Michelangelo did not die in Rome.\n\nInput: Newcastle was granted a new charter in 1589 by Elizabeth.\nOutput: Newcastle was not granted a new charter in 1589 by Elizabeth.\n\nInput: The gender that is more populous across all groups in Jacksonville is female.\nOutput: The gender that is more populous across all groups in Jacksonville is not female.\n\nInput: Alcohol can burn.\nOutput: Alcohol cannot burn." } }, "64": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Humans are eukaryotes.\nOutput: Humans are not eukaryotes.\n\nInput: The Saint-Evroul monks were known for the singing tradition.\nOutput: The Saint-Evroul monks were not known for the singing tradition.\n\nInput: Garnett Brown plays jazz music.\nOutput: Garnett Brown does not play jazz music.\n\nInput: Bacteria can be killed.\nOutput: Bacteria cannot be killed.\n\nInput: John Ferrar Holms was born in India.\nOutput: John Ferrar Holms was not born in India.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Humans are eukaryotes.\nOutput: Humans are not eukaryotes.\n\nInput: The Saint-Evroul monks were known for the singing tradition.\nOutput: The Saint-Evroul monks were not known for the singing tradition.\n\nInput: Garnett Brown plays jazz music.\nOutput: Garnett Brown does not play jazz music.\n\nInput: Bacteria can be killed.\nOutput: Bacteria cannot be killed.\n\nInput: John Ferrar Holms was born in India.\nOutput: John Ferrar Holms was not born in India." } }, "65": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Art is subjective.\nOutput: Art is not subjective.\n\nInput: Judy Dunaway was born in Mississippi.\nOutput: Judy Dunaway was not born in Mississippi.\n\nInput: Pindamonhangaba is located in Brazil.\nOutput: Pindamonhangaba is not located in Brazil.\n\nInput: Pie is a desseret.\nOutput: Pie is not a desseret.\n\nInput: Umberto Sclanizza died in Venice.\nOutput: Umberto Sclanizza did not die in Venice.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Art is subjective.\nOutput: Art is not subjective.\n\nInput: Judy Dunaway was born in Mississippi.\nOutput: Judy Dunaway was not born in Mississippi.\n\nInput: Pindamonhangaba is located in Brazil.\nOutput: Pindamonhangaba is not located in Brazil.\n\nInput: Pie is a desseret.\nOutput: Pie is not a desseret.\n\nInput: Umberto Sclanizza died in Venice.\nOutput: Umberto Sclanizza did not die in Venice." } }, "66": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Kindle is owned by Amazon.com.\nOutput: Kindle is not owned by Amazon.com.\n\nInput: The chief administrators of the church are bishops.\nOutput: The chief administrators of the church are not bishops.\n\nInput: Tooth & Nail Records was founded in California.\nOutput: Tooth & Nail Records was not founded in California.\n\nInput: Experimental measurements on a model steam engine was made by Watt.\nOutput: Experimental measurements on a model steam engine was not made by Watt.\n\nInput: Enthusiastic teachers cause beneficial relationships.\nOutput: Enthusiastic teachers do not cause beneficial relationships.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Kindle is owned by Amazon.com.\nOutput: Kindle is not owned by Amazon.com.\n\nInput: The chief administrators of the church are bishops.\nOutput: The chief administrators of the church are not bishops.\n\nInput: Tooth & Nail Records was founded in California.\nOutput: Tooth & Nail Records was not founded in California.\n\nInput: Experimental measurements on a model steam engine was made by Watt.\nOutput: Experimental measurements on a model steam engine was not made by Watt.\n\nInput: Enthusiastic teachers cause beneficial relationships.\nOutput: Enthusiastic teachers do not cause beneficial relationships." } }, "67": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The original language of The Adventure Game is English.\nOutput: The original language of The Adventure Game is not English.\n\nInput: The members of the European Parliament are elected by citizens.\nOutput: The members of the European Parliament are not elected by citizens.\n\nInput: Baron Wormser was born in Baltimore.\nOutput: Baron Wormser was not born in Baltimore.\n\nInput: Chaos Divine was founded in Perth, Western Australia.\nOutput: Chaos Divine was not founded in Perth, Western Australia.\n\nInput: Thomas Passmore was born in Belfast.\nOutput: Thomas Passmore was not born in Belfast.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The original language of The Adventure Game is English.\nOutput: The original language of The Adventure Game is not English.\n\nInput: The members of the European Parliament are elected by citizens.\nOutput: The members of the European Parliament are not elected by citizens.\n\nInput: Baron Wormser was born in Baltimore.\nOutput: Baron Wormser was not born in Baltimore.\n\nInput: Chaos Divine was founded in Perth, Western Australia.\nOutput: Chaos Divine was not founded in Perth, Western Australia.\n\nInput: Thomas Passmore was born in Belfast.\nOutput: Thomas Passmore was not born in Belfast." } }, "68": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Some spiders are poisonous.\nOutput: Some spiders are not poisonous.\n\nInput: Chris Squire is a member of Yes (Band).\nOutput: Chris Squire is not a member of Yes (Band).\n\nInput: Gold can be melted.\nOutput: Gold cannot be melted.\n\nInput: The planet named for a fly-by mission by an empty S-IVB was Venus.\nOutput: The planet named for a fly-by mission by an empty S-IVB was not Venus.\n\nInput: Arthur Kinnaird, 11th Lord Kinnaird was born in Kensington.\nOutput: Arthur Kinnaird, 11th Lord Kinnaird was not born in Kensington.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Some spiders are poisonous.\nOutput: Some spiders are not poisonous.\n\nInput: Chris Squire is a member of Yes (Band).\nOutput: Chris Squire is not a member of Yes (Band).\n\nInput: Gold can be melted.\nOutput: Gold cannot be melted.\n\nInput: The planet named for a fly-by mission by an empty S-IVB was Venus.\nOutput: The planet named for a fly-by mission by an empty S-IVB was not Venus.\n\nInput: Arthur Kinnaird, 11th Lord Kinnaird was born in Kensington.\nOutput: Arthur Kinnaird, 11th Lord Kinnaird was not born in Kensington." } }, "69": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Mechanics are unimaginative.\nOutput: Mechanics are not unimaginative.\n\nInput: Blue Bayou was written in English.\nOutput: Blue Bayou was not written in English.\n\nInput: Lusia Strus is a film actress by profession.\nOutput: Lusia Strus is not a film actress by profession.\n\nInput: The state with the largest number of members is Texas.\nOutput: The state with the largest number of members is not Texas.\n\nInput: Michelangelo died in Rome.\nOutput: Michelangelo did not die in Rome.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Mechanics are unimaginative.\nOutput: Mechanics are not unimaginative.\n\nInput: Blue Bayou was written in English.\nOutput: Blue Bayou was not written in English.\n\nInput: Lusia Strus is a film actress by profession.\nOutput: Lusia Strus is not a film actress by profession.\n\nInput: The state with the largest number of members is Texas.\nOutput: The state with the largest number of members is not Texas.\n\nInput: Michelangelo died in Rome.\nOutput: Michelangelo did not die in Rome." } }, "70": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Humans are mammels.\nOutput: Humans are not mammels.\n\nInput: A significant minority of in Warsaw were Jewish.\nOutput: A significant minority of in Warsaw were not Jewish.\n\nInput: Katana is made of steel.\nOutput: Katana is not made of steel.\n\nInput: Nkhata Bay District is located in Malawi.\nOutput: Nkhata Bay District is not located in Malawi.\n\nInput: Feathers are light.\nOutput: Feathers are not light.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Humans are mammels.\nOutput: Humans are not mammels.\n\nInput: A significant minority of in Warsaw were Jewish.\nOutput: A significant minority of in Warsaw were not Jewish.\n\nInput: Katana is made of steel.\nOutput: Katana is not made of steel.\n\nInput: Nkhata Bay District is located in Malawi.\nOutput: Nkhata Bay District is not located in Malawi.\n\nInput: Feathers are light.\nOutput: Feathers are not light." } }, "71": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Some pilots are bad.\nOutput: Some pilots are not bad.\n\nInput: In Chinese primary schools in Malaysia, the language used is Chinese.\nOutput: In Chinese primary schools in Malaysia, the language used is not Chinese.\n\nInput: Champagne contains bubbles.\nOutput: Champagne does not contain bubbles.\n\nInput: Thomas D. Singleton died in Raleigh.\nOutput: Thomas D. Singleton did not die in Raleigh.\n\nInput: Some truths are complex.\nOutput: Some truths are not complex.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Some pilots are bad.\nOutput: Some pilots are not bad.\n\nInput: In Chinese primary schools in Malaysia, the language used is Chinese.\nOutput: In Chinese primary schools in Malaysia, the language used is not Chinese.\n\nInput: Champagne contains bubbles.\nOutput: Champagne does not contain bubbles.\n\nInput: Thomas D. Singleton died in Raleigh.\nOutput: Thomas D. Singleton did not die in Raleigh.\n\nInput: Some truths are complex.\nOutput: Some truths are not complex." } }, "72": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Something that can concentrate wealth, pass environmental costs on to society and abuse both workers and consumers is markets.\nOutput: Something that can concentrate wealth, pass environmental costs on to society and abuse both workers and consumers is not markets.\n\nInput: Another name for a coal supply bin is bunker.\nOutput: Another name for a coal supply bin is not bunker.\n\nInput: Some umbrellas are blue.\nOutput: Some umbrellas are not blue.\n\nInput: Osterholz shares border with Bremen.\nOutput: Osterholz does not share border with Bremen.\n\nInput: The members of the European Parliament are elected by citizens.\nOutput: The members of the European Parliament are not elected by citizens.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Something that can concentrate wealth, pass environmental costs on to society and abuse both workers and consumers is markets.\nOutput: Something that can concentrate wealth, pass environmental costs on to society and abuse both workers and consumers is not markets.\n\nInput: Another name for a coal supply bin is bunker.\nOutput: Another name for a coal supply bin is not bunker.\n\nInput: Some umbrellas are blue.\nOutput: Some umbrellas are not blue.\n\nInput: Osterholz shares border with Bremen.\nOutput: Osterholz does not share border with Bremen.\n\nInput: The members of the European Parliament are elected by citizens.\nOutput: The members of the European Parliament are not elected by citizens." } }, "73": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The first television series to feature an openly gay character was Soap.\nOutput: The first television series to feature an openly gay character was not Soap.\n\nInput: Sometimes competing causes stress.\nOutput: Sometimes competing does not cause stress.\n\nInput: The only form potential energy can change into is kinetic.\nOutput: The only form potential energy can change into is not kinetic.\n\nInput: Aaron Spelling's drama Dynasty debuted on ABC in the 80s.\nOutput: Aaron Spelling's drama Dynasty did not debut on ABC in the 80s.\n\nInput: Faget designed for the Apollo command module to be cone shaped.\nOutput: Faget designed for the Apollo command module to not be cone shaped.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The first television series to feature an openly gay character was Soap.\nOutput: The first television series to feature an openly gay character was not Soap.\n\nInput: Sometimes competing causes stress.\nOutput: Sometimes competing does not cause stress.\n\nInput: The only form potential energy can change into is kinetic.\nOutput: The only form potential energy can change into is not kinetic.\n\nInput: Aaron Spelling's drama Dynasty debuted on ABC in the 80s.\nOutput: Aaron Spelling's drama Dynasty did not debut on ABC in the 80s.\n\nInput: Faget designed for the Apollo command module to be cone shaped.\nOutput: Faget designed for the Apollo command module to not be cone shaped." } }, "74": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Teachers are expected to give respect to their students.\nOutput: Teachers are expected to not give respect to their students.\n\nInput: John James Masquerier died in Brighton.\nOutput: John James Masquerier did not die in Brighton.\n\nInput: Genghis Khan took Xiliang-fu from the Tanguts in the autumn.\nOutput: Genghis Khan did not take Xiliang-fu from the Tanguts in the autumn.\n\nInput: Tesla was in favour of the AC current type.\nOutput: Tesla was not in favour of the AC current type.\n\nInput: Salsa is generally fun.\nOutput: Salsa is not generally fun.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Teachers are expected to give respect to their students.\nOutput: Teachers are expected to not give respect to their students.\n\nInput: John James Masquerier died in Brighton.\nOutput: John James Masquerier did not die in Brighton.\n\nInput: Genghis Khan took Xiliang-fu from the Tanguts in the autumn.\nOutput: Genghis Khan did not take Xiliang-fu from the Tanguts in the autumn.\n\nInput: Tesla was in favour of the AC current type.\nOutput: Tesla was not in favour of the AC current type.\n\nInput: Salsa is generally fun.\nOutput: Salsa is not generally fun." } }, "75": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Eggshells are fragile.\nOutput: Eggshells are not fragile.\n\nInput: Oceans are wide.\nOutput: Oceans are not wide.\n\nInput: The day of the week when general elections are held is Thursday.\nOutput: The day of the week when general elections are held is not Thursday.\n\nInput: Something that can concentrate wealth, pass environmental costs on to society and abuse both workers and consumers is markets.\nOutput: Something that can concentrate wealth, pass environmental costs on to society and abuse both workers and consumers is not markets.\n\nInput: John Ferrar Holms was born in India.\nOutput: John Ferrar Holms was not born in India.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Eggshells are fragile.\nOutput: Eggshells are not fragile.\n\nInput: Oceans are wide.\nOutput: Oceans are not wide.\n\nInput: The day of the week when general elections are held is Thursday.\nOutput: The day of the week when general elections are held is not Thursday.\n\nInput: Something that can concentrate wealth, pass environmental costs on to society and abuse both workers and consumers is markets.\nOutput: Something that can concentrate wealth, pass environmental costs on to society and abuse both workers and consumers is not markets.\n\nInput: John Ferrar Holms was born in India.\nOutput: John Ferrar Holms was not born in India." } }, "76": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Some advertisments are reliable.\nOutput: Some advertisments are not reliable.\n\nInput: Alireza Sheikhattar was born in Tehran.\nOutput: Alireza Sheikhattar was not born in Tehran.\n\nInput: Yambol Peak is located in Antarctica.\nOutput: Yambol Peak is not located in Antarctica.\n\nInput: Luther's hymn Christ unser Herr zum jordan kam concerns baptism.\nOutput: Luther's hymn Christ unser Herr zum jordan kam does not concern baptism.\n\nInput: Caffiene is a stimulant.\nOutput: Caffiene is not a stimulant.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Some advertisments are reliable.\nOutput: Some advertisments are not reliable.\n\nInput: Alireza Sheikhattar was born in Tehran.\nOutput: Alireza Sheikhattar was not born in Tehran.\n\nInput: Yambol Peak is located in Antarctica.\nOutput: Yambol Peak is not located in Antarctica.\n\nInput: Luther's hymn Christ unser Herr zum jordan kam concerns baptism.\nOutput: Luther's hymn Christ unser Herr zum jordan kam does not concern baptism.\n\nInput: Caffiene is a stimulant.\nOutput: Caffiene is not a stimulant." } }, "77": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The headquarter of Nahdlatul Ulama is in Jakarta.\nOutput: The headquarter of Nahdlatul Ulama is not in Jakarta.\n\nInput: art is a subclass of creativity.\nOutput: art is not a subclass of creativity.\n\nInput: At his lab, Tesla showed off a wireless power transmission.\nOutput: At his lab, Tesla did not show off a wireless power transmission.\n\nInput: Socialising requires grace.\nOutput: Socialising does not require grace.\n\nInput: The headquarter of Smith & Nephew is in London.\nOutput: The headquarter of Smith & Nephew is not in London.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The headquarter of Nahdlatul Ulama is in Jakarta.\nOutput: The headquarter of Nahdlatul Ulama is not in Jakarta.\n\nInput: art is a subclass of creativity.\nOutput: art is not a subclass of creativity.\n\nInput: At his lab, Tesla showed off a wireless power transmission.\nOutput: At his lab, Tesla did not show off a wireless power transmission.\n\nInput: Socialising requires grace.\nOutput: Socialising does not require grace.\n\nInput: The headquarter of Smith & Nephew is in London.\nOutput: The headquarter of Smith & Nephew is not in London." } }, "78": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Christchurch City Council is a legal term in Christchurch.\nOutput: Christchurch City Council is not a legal term in Christchurch.\n\nInput: John James Masquerier died in Brighton.\nOutput: John James Masquerier did not die in Brighton.\n\nInput: Herpa Wings was founded in Germany.\nOutput: Herpa Wings was not founded in Germany.\n\nInput: Iron can be forged.\nOutput: Iron cannot be forged.\n\nInput: Helvi Leiviskä died in Helsinki.\nOutput: Helvi Leiviskä did not die in Helsinki.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Christchurch City Council is a legal term in Christchurch.\nOutput: Christchurch City Council is not a legal term in Christchurch.\n\nInput: John James Masquerier died in Brighton.\nOutput: John James Masquerier did not die in Brighton.\n\nInput: Herpa Wings was founded in Germany.\nOutput: Herpa Wings was not founded in Germany.\n\nInput: Iron can be forged.\nOutput: Iron cannot be forged.\n\nInput: Helvi Leiviskä died in Helsinki.\nOutput: Helvi Leiviskä did not die in Helsinki." } }, "79": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: After the conclusion of the Revolutionary War Spain gained control of Florida.\nOutput: After the conclusion of the Revolutionary War Spain did not gain control of Florida.\n\nInput: Some sports are violent.\nOutput: Some sports are not violent.\n\nInput: Haemoglobin is made of iron.\nOutput: Haemoglobin is not made of iron.\n\nInput: Michelangelo died in Rome.\nOutput: Michelangelo did not die in Rome.\n\nInput: Richard Walker died in Cambridge.\nOutput: Richard Walker did not die in Cambridge.\n\nThe instruction was", "metadata": { "examples_seen": "Input: After the conclusion of the Revolutionary War Spain gained control of Florida.\nOutput: After the conclusion of the Revolutionary War Spain did not gain control of Florida.\n\nInput: Some sports are violent.\nOutput: Some sports are not violent.\n\nInput: Haemoglobin is made of iron.\nOutput: Haemoglobin is not made of iron.\n\nInput: Michelangelo died in Rome.\nOutput: Michelangelo did not die in Rome.\n\nInput: Richard Walker died in Cambridge.\nOutput: Richard Walker did not die in Cambridge." } }, "80": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The current rights holders for the Primer League were ITV.\nOutput: The current rights holders for the Primer League were not ITV.\n\nInput: John James Masquerier died in Brighton.\nOutput: John James Masquerier did not die in Brighton.\n\nInput: Dunragit is a village.\nOutput: Dunragit is not a village.\n\nInput: Giorgio Antoniotto died in Calais.\nOutput: Giorgio Antoniotto did not die in Calais.\n\nInput: Judging someone requires wisdom.\nOutput: Judging someone does not require wisdom.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The current rights holders for the Primer League were ITV.\nOutput: The current rights holders for the Primer League were not ITV.\n\nInput: John James Masquerier died in Brighton.\nOutput: John James Masquerier did not die in Brighton.\n\nInput: Dunragit is a village.\nOutput: Dunragit is not a village.\n\nInput: Giorgio Antoniotto died in Calais.\nOutput: Giorgio Antoniotto did not die in Calais.\n\nInput: Judging someone requires wisdom.\nOutput: Judging someone does not require wisdom." } }, "81": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Pigs are intelligent.\nOutput: Pigs are not intelligent.\n\nInput: Martyn Joseph was born in Wales.\nOutput: Martyn Joseph was not born in Wales.\n\nInput: Plants are stationary.\nOutput: Plants are not stationary.\n\nInput: Free movement in the EU is increasingly based on citizenship.\nOutput: Free movement in the EU is not increasingly based on citizenship.\n\nInput: Beets are purple.\nOutput: Beets are not purple.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Pigs are intelligent.\nOutput: Pigs are not intelligent.\n\nInput: Martyn Joseph was born in Wales.\nOutput: Martyn Joseph was not born in Wales.\n\nInput: Plants are stationary.\nOutput: Plants are not stationary.\n\nInput: Free movement in the EU is increasingly based on citizenship.\nOutput: Free movement in the EU is not increasingly based on citizenship.\n\nInput: Beets are purple.\nOutput: Beets are not purple." } }, "82": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Aytaç Biter was born in Ankara.\nOutput: Aytaç Biter was not born in Ankara.\n\nInput: Some people are pagan.\nOutput: Some people are not pagan.\n\nInput: Christchurch City Council is a legal term in Christchurch.\nOutput: Christchurch City Council is not a legal term in Christchurch.\n\nInput: in the mid-1960s, ABC expanded into Beirut.\nOutput: in the mid-1960s, ABC did not expand into Beirut.\n\nInput: Kirk Hunter was born in Belfast.\nOutput: Kirk Hunter was not born in Belfast.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Aytaç Biter was born in Ankara.\nOutput: Aytaç Biter was not born in Ankara.\n\nInput: Some people are pagan.\nOutput: Some people are not pagan.\n\nInput: Christchurch City Council is a legal term in Christchurch.\nOutput: Christchurch City Council is not a legal term in Christchurch.\n\nInput: in the mid-1960s, ABC expanded into Beirut.\nOutput: in the mid-1960s, ABC did not expand into Beirut.\n\nInput: Kirk Hunter was born in Belfast.\nOutput: Kirk Hunter was not born in Belfast." } }, "83": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Some rice is black.\nOutput: Some rice is not black.\n\nInput: Apples can be dried.\nOutput: Apples cannot be dried.\n\nInput: Some things are finite.\nOutput: Some things are not finite.\n\nInput: Accursius was born in Florence.\nOutput: Accursius was not born in Florence.\n\nInput: Giancarlo Primo was born in Italy.\nOutput: Giancarlo Primo was not born in Italy.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Some rice is black.\nOutput: Some rice is not black.\n\nInput: Apples can be dried.\nOutput: Apples cannot be dried.\n\nInput: Some things are finite.\nOutput: Some things are not finite.\n\nInput: Accursius was born in Florence.\nOutput: Accursius was not born in Florence.\n\nInput: Giancarlo Primo was born in Italy.\nOutput: Giancarlo Primo was not born in Italy." } }, "84": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The argricultural region known for cattle.\nOutput: The argricultural region not known for cattle.\n\nInput: Totten Glacier is located in Antarctica.\nOutput: Totten Glacier is not located in Antarctica.\n\nInput: Flowers can be calming.\nOutput: Flowers cannot be calming.\n\nInput: Morphine is addictive.\nOutput: Morphine is not addictive.\n\nInput: Humans can plan.\nOutput: Humans cannot plan.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The argricultural region known for cattle.\nOutput: The argricultural region not known for cattle.\n\nInput: Totten Glacier is located in Antarctica.\nOutput: Totten Glacier is not located in Antarctica.\n\nInput: Flowers can be calming.\nOutput: Flowers cannot be calming.\n\nInput: Morphine is addictive.\nOutput: Morphine is not addictive.\n\nInput: Humans can plan.\nOutput: Humans cannot plan." } }, "85": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Raghuram Rajan is an economist.\nOutput: Raghuram Rajan is not an economist.\n\nInput: Go is a boardgame.\nOutput: Go is not a boardgame.\n\nInput: The original language of The Purple Taxi is French.\nOutput: The original language of The Purple Taxi is not French.\n\nInput: Hydrogen is a fuel.\nOutput: Hydrogen is not a fuel.\n\nInput: The country with the most illiterate adults in the world is India.\nOutput: The country with the most illiterate adults in the world is not India.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Raghuram Rajan is an economist.\nOutput: Raghuram Rajan is not an economist.\n\nInput: Go is a boardgame.\nOutput: Go is not a boardgame.\n\nInput: The original language of The Purple Taxi is French.\nOutput: The original language of The Purple Taxi is not French.\n\nInput: Hydrogen is a fuel.\nOutput: Hydrogen is not a fuel.\n\nInput: The country with the most illiterate adults in the world is India.\nOutput: The country with the most illiterate adults in the world is not India." } }, "86": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Tor someone who is timid, a teacher would likely encourage that person.\nOutput: Tor someone who is timid, a teacher would not likely encourage that person.\n\nInput: The Japanese residents of Fresno primarily lived in the ethnic neighborhood of Chinatown in Fresno in 1940.\nOutput: The Japanese residents of Fresno primarily did not live in the ethnic neighborhood of Chinatown in Fresno in 1940.\n\nInput: Huguenots and Walloons settled in Canterbury.\nOutput: Huguenots and Walloons did not settle in Canterbury.\n\nInput: Gravitational forces act between masses.\nOutput: Gravitational forces do not act between masses.\n\nInput: The first major city in the stream of the Rhine is Basel.\nOutput: The first major city in the stream of the Rhine is not Basel.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Tor someone who is timid, a teacher would likely encourage that person.\nOutput: Tor someone who is timid, a teacher would not likely encourage that person.\n\nInput: The Japanese residents of Fresno primarily lived in the ethnic neighborhood of Chinatown in Fresno in 1940.\nOutput: The Japanese residents of Fresno primarily did not live in the ethnic neighborhood of Chinatown in Fresno in 1940.\n\nInput: Huguenots and Walloons settled in Canterbury.\nOutput: Huguenots and Walloons did not settle in Canterbury.\n\nInput: Gravitational forces act between masses.\nOutput: Gravitational forces do not act between masses.\n\nInput: The first major city in the stream of the Rhine is Basel.\nOutput: The first major city in the stream of the Rhine is not Basel." } }, "87": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Zhu Shijie did work similar the modern math concept of matrices.\nOutput: Zhu Shijie did not work similar the modern math concept of matrices.\n\nInput: The organization that runs the satellite that measured dust that landed on the Amazon is NASA.\nOutput: The organization that runs the satellite that measured dust that landed on the Amazon is not NASA.\n\nInput: Casper is a ghost.\nOutput: Casper is not a ghost.\n\nInput: The state with the largest number of members is Texas.\nOutput: The state with the largest number of members is not Texas.\n\nInput: The argricultural region known for cattle.\nOutput: The argricultural region not known for cattle.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Zhu Shijie did work similar the modern math concept of matrices.\nOutput: Zhu Shijie did not work similar the modern math concept of matrices.\n\nInput: The organization that runs the satellite that measured dust that landed on the Amazon is NASA.\nOutput: The organization that runs the satellite that measured dust that landed on the Amazon is not NASA.\n\nInput: Casper is a ghost.\nOutput: Casper is not a ghost.\n\nInput: The state with the largest number of members is Texas.\nOutput: The state with the largest number of members is not Texas.\n\nInput: The argricultural region known for cattle.\nOutput: The argricultural region not known for cattle." } }, "88": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Eija Krogerus was born in Helsinki.\nOutput: Eija Krogerus was not born in Helsinki.\n\nInput: Romulus Augustus is affiliated with the Christianity religion.\nOutput: Romulus Augustus is not affiliated with the Christianity religion.\n\nInput: The official language of Shakhunya is Russian.\nOutput: The official language of Shakhunya is not Russian.\n\nInput: Genghis Khan's grave site may have been stampeded over by horses.\nOutput: Genghis Khan's grave site may not have been stampeded over by horses.\n\nInput: Millikan works in the field of physics.\nOutput: Millikan does not work in the field of physics.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Eija Krogerus was born in Helsinki.\nOutput: Eija Krogerus was not born in Helsinki.\n\nInput: Romulus Augustus is affiliated with the Christianity religion.\nOutput: Romulus Augustus is not affiliated with the Christianity religion.\n\nInput: The official language of Shakhunya is Russian.\nOutput: The official language of Shakhunya is not Russian.\n\nInput: Genghis Khan's grave site may have been stampeded over by horses.\nOutput: Genghis Khan's grave site may not have been stampeded over by horses.\n\nInput: Millikan works in the field of physics.\nOutput: Millikan does not work in the field of physics." } }, "89": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Photosynthesis releases oxygen into the Earth's atmosphere.\nOutput: Photosynthesis does not release oxygen into the Earth's atmosphere.\n\nInput: Granite can be flamed.\nOutput: Granite cannot be flamed.\n\nInput: Achievement requires effort.\nOutput: Achievement does not require effort.\n\nInput: Miami Vice was originally aired on NBC.\nOutput: Miami Vice was not originally aired on NBC.\n\nInput: Kitties are tiny.\nOutput: Kitties are not tiny.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Photosynthesis releases oxygen into the Earth's atmosphere.\nOutput: Photosynthesis does not release oxygen into the Earth's atmosphere.\n\nInput: Granite can be flamed.\nOutput: Granite cannot be flamed.\n\nInput: Achievement requires effort.\nOutput: Achievement does not require effort.\n\nInput: Miami Vice was originally aired on NBC.\nOutput: Miami Vice was not originally aired on NBC.\n\nInput: Kitties are tiny.\nOutput: Kitties are not tiny." } }, "90": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Patrick Hicks was born in Charlotte.\nOutput: Patrick Hicks was not born in Charlotte.\n\nInput: Bernard Brodie was born in Chicago.\nOutput: Bernard Brodie was not born in Chicago.\n\nInput: Felines are carnivores.\nOutput: Felines are not carnivores.\n\nInput: Go is a boardgame.\nOutput: Go is not a boardgame.\n\nInput: The official language of Zabaykalsky Krai is Russian.\nOutput: The official language of Zabaykalsky Krai is not Russian.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Patrick Hicks was born in Charlotte.\nOutput: Patrick Hicks was not born in Charlotte.\n\nInput: Bernard Brodie was born in Chicago.\nOutput: Bernard Brodie was not born in Chicago.\n\nInput: Felines are carnivores.\nOutput: Felines are not carnivores.\n\nInput: Go is a boardgame.\nOutput: Go is not a boardgame.\n\nInput: The official language of Zabaykalsky Krai is Russian.\nOutput: The official language of Zabaykalsky Krai is not Russian." } }, "91": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Newcastle was granted a new charter in 1589 by Elizabeth.\nOutput: Newcastle was not granted a new charter in 1589 by Elizabeth.\n\nInput: Submarines can dive.\nOutput: Submarines cannot dive.\n\nInput: Accursius was born in Florence.\nOutput: Accursius was not born in Florence.\n\nInput: According to Schurf's letter Luther's return caused joy.\nOutput: According to Schurf's letter Luther's return did not cause joy.\n\nInput: Denmark is part of Scandinavia.\nOutput: Denmark is not part of Scandinavia.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Newcastle was granted a new charter in 1589 by Elizabeth.\nOutput: Newcastle was not granted a new charter in 1589 by Elizabeth.\n\nInput: Submarines can dive.\nOutput: Submarines cannot dive.\n\nInput: Accursius was born in Florence.\nOutput: Accursius was not born in Florence.\n\nInput: According to Schurf's letter Luther's return caused joy.\nOutput: According to Schurf's letter Luther's return did not cause joy.\n\nInput: Denmark is part of Scandinavia.\nOutput: Denmark is not part of Scandinavia." } }, "92": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Elbe River is located in Europe.\nOutput: Elbe River is not located in Europe.\n\nInput: Konstantin Mereschkowski has Russian nationality.\nOutput: Konstantin Mereschkowski has not Russian nationality.\n\nInput: The Swiss center of the Calvinist movement was located in Geneva.\nOutput: The Swiss center of the Calvinist movement was not located in Geneva.\n\nInput: The ring is blue.\nOutput: The ring is not blue.\n\nInput: Martyn Joseph was born in Wales.\nOutput: Martyn Joseph was not born in Wales.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Elbe River is located in Europe.\nOutput: Elbe River is not located in Europe.\n\nInput: Konstantin Mereschkowski has Russian nationality.\nOutput: Konstantin Mereschkowski has not Russian nationality.\n\nInput: The Swiss center of the Calvinist movement was located in Geneva.\nOutput: The Swiss center of the Calvinist movement was not located in Geneva.\n\nInput: The ring is blue.\nOutput: The ring is not blue.\n\nInput: Martyn Joseph was born in Wales.\nOutput: Martyn Joseph was not born in Wales." } }, "93": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Manitoba Act is a legal term in Canada.\nOutput: Manitoba Act is not a legal term in Canada.\n\nInput: After the conclusion of the Revolutionary War Spain gained control of Florida.\nOutput: After the conclusion of the Revolutionary War Spain did not gain control of Florida.\n\nInput: Some people are altruistic.\nOutput: Some people are not altruistic.\n\nInput: Johnny Paycheck died in Nashville.\nOutput: Johnny Paycheck did not die in Nashville.\n\nInput: Furan consists of carbon.\nOutput: Furan does not consist of carbon.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Manitoba Act is a legal term in Canada.\nOutput: Manitoba Act is not a legal term in Canada.\n\nInput: After the conclusion of the Revolutionary War Spain gained control of Florida.\nOutput: After the conclusion of the Revolutionary War Spain did not gain control of Florida.\n\nInput: Some people are altruistic.\nOutput: Some people are not altruistic.\n\nInput: Johnny Paycheck died in Nashville.\nOutput: Johnny Paycheck did not die in Nashville.\n\nInput: Furan consists of carbon.\nOutput: Furan does not consist of carbon." } }, "94": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: A steam plant compared to that of an internal combustion engine has lower power-to-weight ratio.\nOutput: A steam plant compared to that of an internal combustion engine has not lower power-to-weight ratio.\n\nInput: Robert van Audenaerde died in Ghent.\nOutput: Robert van Audenaerde did not die in Ghent.\n\nInput: Samuel Marsden Collegiate School is located in Wellington.\nOutput: Samuel Marsden Collegiate School is not located in Wellington.\n\nInput: Trains can brake.\nOutput: Trains cannot brake.\n\nInput: The official language of Lemi is Finnish.\nOutput: The official language of Lemi is not Finnish.\n\nThe instruction was", "metadata": { "examples_seen": "Input: A steam plant compared to that of an internal combustion engine has lower power-to-weight ratio.\nOutput: A steam plant compared to that of an internal combustion engine has not lower power-to-weight ratio.\n\nInput: Robert van Audenaerde died in Ghent.\nOutput: Robert van Audenaerde did not die in Ghent.\n\nInput: Samuel Marsden Collegiate School is located in Wellington.\nOutput: Samuel Marsden Collegiate School is not located in Wellington.\n\nInput: Trains can brake.\nOutput: Trains cannot brake.\n\nInput: The official language of Lemi is Finnish.\nOutput: The official language of Lemi is not Finnish." } }, "95": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Princess Bee was born in Italy.\nOutput: Princess Bee was not born in Italy.\n\nInput: Hallgeir Langeland was born in Strand.\nOutput: Hallgeir Langeland was not born in Strand.\n\nInput: Thomas Gilbert died in Oxford.\nOutput: Thomas Gilbert did not die in Oxford.\n\nInput: Namibia is a republic.\nOutput: Namibia is not a republic.\n\nInput: Simon Laurens was born in Jersey.\nOutput: Simon Laurens was not born in Jersey.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Princess Bee was born in Italy.\nOutput: Princess Bee was not born in Italy.\n\nInput: Hallgeir Langeland was born in Strand.\nOutput: Hallgeir Langeland was not born in Strand.\n\nInput: Thomas Gilbert died in Oxford.\nOutput: Thomas Gilbert did not die in Oxford.\n\nInput: Namibia is a republic.\nOutput: Namibia is not a republic.\n\nInput: Simon Laurens was born in Jersey.\nOutput: Simon Laurens was not born in Jersey." } }, "96": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sapsucker is a bird.\nOutput: Sapsucker is not a bird.\n\nInput: The headquarter of Lloyd is in Bremen.\nOutput: The headquarter of Lloyd is not in Bremen.\n\nInput: Paweł Zalewski was born in Warsaw.\nOutput: Paweł Zalewski was not born in Warsaw.\n\nInput: Horses are beuatiful.\nOutput: Horses are not beuatiful.\n\nInput: The planet named for a fly-by mission by an empty S-IVB was Venus.\nOutput: The planet named for a fly-by mission by an empty S-IVB was not Venus.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sapsucker is a bird.\nOutput: Sapsucker is not a bird.\n\nInput: The headquarter of Lloyd is in Bremen.\nOutput: The headquarter of Lloyd is not in Bremen.\n\nInput: Paweł Zalewski was born in Warsaw.\nOutput: Paweł Zalewski was not born in Warsaw.\n\nInput: Horses are beuatiful.\nOutput: Horses are not beuatiful.\n\nInput: The planet named for a fly-by mission by an empty S-IVB was Venus.\nOutput: The planet named for a fly-by mission by an empty S-IVB was not Venus." } }, "97": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Welsh Guards is located in London, England.\nOutput: Welsh Guards is not located in London, England.\n\nInput: Marcel Alessandri died in Paris.\nOutput: Marcel Alessandri did not die in Paris.\n\nInput: Sometimes ageing causes wrinkles.\nOutput: Sometimes ageing does not cause wrinkles.\n\nInput: In Wales, the language Welsh is used to educate.\nOutput: In Wales, the language Welsh is not used to educate.\n\nInput: Newcastle was granted a new charter in 1589 by Elizabeth.\nOutput: Newcastle was not granted a new charter in 1589 by Elizabeth.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Welsh Guards is located in London, England.\nOutput: Welsh Guards is not located in London, England.\n\nInput: Marcel Alessandri died in Paris.\nOutput: Marcel Alessandri did not die in Paris.\n\nInput: Sometimes ageing causes wrinkles.\nOutput: Sometimes ageing does not cause wrinkles.\n\nInput: In Wales, the language Welsh is used to educate.\nOutput: In Wales, the language Welsh is not used to educate.\n\nInput: Newcastle was granted a new charter in 1589 by Elizabeth.\nOutput: Newcastle was not granted a new charter in 1589 by Elizabeth." } }, "98": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Faget designed for the Apollo command module to be cone shaped.\nOutput: Faget designed for the Apollo command module to not be cone shaped.\n\nInput: John Seru was born in Australia.\nOutput: John Seru was not born in Australia.\n\nInput: The French ancestry of some South Africans is identified by names.\nOutput: The French ancestry of some South Africans is identified by names.\n\nInput: Totten Glacier is located in Antarctica.\nOutput: Totten Glacier is not located in Antarctica.\n\nInput: Insects can move.\nOutput: Insects cannot move.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Faget designed for the Apollo command module to be cone shaped.\nOutput: Faget designed for the Apollo command module to not be cone shaped.\n\nInput: John Seru was born in Australia.\nOutput: John Seru was not born in Australia.\n\nInput: The French ancestry of some South Africans is identified by names.\nOutput: The French ancestry of some South Africans is identified by names.\n\nInput: Totten Glacier is located in Antarctica.\nOutput: Totten Glacier is not located in Antarctica.\n\nInput: Insects can move.\nOutput: Insects cannot move." } }, "99": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The country that has the most factories that pollute the Rhine is Switzerland.\nOutput: The country that has the most factories that pollute the Rhine is not Switzerland.\n\nInput: Zucchini is a vegetable.\nOutput: Zucchini is not a vegetable.\n\nInput: Wards Island is located in Manhattan.\nOutput: Wards Island is not located in Manhattan.\n\nInput: The AS-205 mission was originally canceled.\nOutput: The AS-205 mission was not originally canceled.\n\nInput: Large quantities of pure oxygen are needed by hospitals.\nOutput: Large quantities of pure oxygen are not needed by hospitals.\n\nThe instruction was", "metadata": { "examples_seen": "Input: The country that has the most factories that pollute the Rhine is Switzerland.\nOutput: The country that has the most factories that pollute the Rhine is not Switzerland.\n\nInput: Zucchini is a vegetable.\nOutput: Zucchini is not a vegetable.\n\nInput: Wards Island is located in Manhattan.\nOutput: Wards Island is not located in Manhattan.\n\nInput: The AS-205 mission was originally canceled.\nOutput: The AS-205 mission was not originally canceled.\n\nInput: Large quantities of pure oxygen are needed by hospitals.\nOutput: Large quantities of pure oxygen are not needed by hospitals." } }, "100": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Motion at a constant velocity is equal to rest.\nOutput: Motion at a constant velocity is not equal to rest.\n\nInput: John Seru was born in Australia.\nOutput: John Seru was not born in Australia.\n\nInput: Tiramisu is a type of food.\nOutput: Tiramisu is not a type of food.\n\nInput: Huguenots and Walloons settled in Canterbury.\nOutput: Huguenots and Walloons did not settle in Canterbury.\n\nInput: The Gene Autry Show was originally aired on CBS.\nOutput: The Gene Autry Show was not originally aired on CBS.\n\nThe instruction was", "metadata": { "examples_seen": "Input: Motion at a constant velocity is equal to rest.\nOutput: Motion at a constant velocity is not equal to rest.\n\nInput: John Seru was born in Australia.\nOutput: John Seru was not born in Australia.\n\nInput: Tiramisu is a type of food.\nOutput: Tiramisu is not a type of food.\n\nInput: Huguenots and Walloons settled in Canterbury.\nOutput: Huguenots and Walloons did not settle in Canterbury.\n\nInput: The Gene Autry Show was originally aired on CBS.\nOutput: The Gene Autry Show was not originally aired on CBS." } } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/induction_input/num_to_verbal.json ================================================ { "examples": { "1": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 1486\nOutput: one thousand, four hundred and eighty-six\n\nInput: 7708\nOutput: seven thousand, seven hundred and eight\n\nInput: 1630\nOutput: one thousand, six hundred and thirty\n\nInput: 9451\nOutput: nine thousand, four hundred and fifty-one\n\nInput: 4013\nOutput: four thousand and thirteen\n\nThe instruction was", "metadata": { "examples_seen": "Input: 1486\nOutput: one thousand, four hundred and eighty-six\n\nInput: 7708\nOutput: seven thousand, seven hundred and eight\n\nInput: 1630\nOutput: one thousand, six hundred and thirty\n\nInput: 9451\nOutput: nine thousand, four hundred and fifty-one\n\nInput: 4013\nOutput: four thousand and thirteen" } }, "2": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 108\nOutput: one hundred and eight\n\nInput: 8923\nOutput: eight thousand, nine hundred and twenty-three\n\nInput: 1453\nOutput: one thousand, four hundred and fifty-three\n\nInput: 8011\nOutput: eight thousand and eleven\n\nInput: 4970\nOutput: four thousand, nine hundred and seventy\n\nThe instruction was", "metadata": { "examples_seen": "Input: 108\nOutput: one hundred and eight\n\nInput: 8923\nOutput: eight thousand, nine hundred and twenty-three\n\nInput: 1453\nOutput: one thousand, four hundred and fifty-three\n\nInput: 8011\nOutput: eight thousand and eleven\n\nInput: 4970\nOutput: four thousand, nine hundred and seventy" } }, "3": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 2467\nOutput: two thousand, four hundred and sixty-seven\n\nInput: 4958\nOutput: four thousand, nine hundred and fifty-eight\n\nInput: 9407\nOutput: nine thousand, four hundred and seven\n\nInput: 3558\nOutput: three thousand, five hundred and fifty-eight\n\nInput: 6020\nOutput: six thousand and twenty\n\nThe instruction was", "metadata": { "examples_seen": "Input: 2467\nOutput: two thousand, four hundred and sixty-seven\n\nInput: 4958\nOutput: four thousand, nine hundred and fifty-eight\n\nInput: 9407\nOutput: nine thousand, four hundred and seven\n\nInput: 3558\nOutput: three thousand, five hundred and fifty-eight\n\nInput: 6020\nOutput: six thousand and twenty" } }, "4": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 4933\nOutput: four thousand, nine hundred and thirty-three\n\nInput: 3674\nOutput: three thousand, six hundred and seventy-four\n\nInput: 6747\nOutput: six thousand, seven hundred and forty-seven\n\nInput: 6031\nOutput: six thousand and thirty-one\n\nInput: 971\nOutput: nine hundred and seventy-one\n\nThe instruction was", "metadata": { "examples_seen": "Input: 4933\nOutput: four thousand, nine hundred and thirty-three\n\nInput: 3674\nOutput: three thousand, six hundred and seventy-four\n\nInput: 6747\nOutput: six thousand, seven hundred and forty-seven\n\nInput: 6031\nOutput: six thousand and thirty-one\n\nInput: 971\nOutput: nine hundred and seventy-one" } }, "5": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 2408\nOutput: two thousand, four hundred and eight\n\nInput: 4941\nOutput: four thousand, nine hundred and forty-one\n\nInput: 487\nOutput: four hundred and eighty-seven\n\nInput: 4984\nOutput: four thousand, nine hundred and eighty-four\n\nInput: 5587\nOutput: five thousand, five hundred and eighty-seven\n\nThe instruction was", "metadata": { "examples_seen": "Input: 2408\nOutput: two thousand, four hundred and eight\n\nInput: 4941\nOutput: four thousand, nine hundred and forty-one\n\nInput: 487\nOutput: four hundred and eighty-seven\n\nInput: 4984\nOutput: four thousand, nine hundred and eighty-four\n\nInput: 5587\nOutput: five thousand, five hundred and eighty-seven" } }, "6": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 4586\nOutput: four thousand, five hundred and eighty-six\n\nInput: 9325\nOutput: nine thousand, three hundred and twenty-five\n\nInput: 9941\nOutput: nine thousand, nine hundred and forty-one\n\nInput: 5687\nOutput: five thousand, six hundred and eighty-seven\n\nInput: 4304\nOutput: four thousand, three hundred and four\n\nThe instruction was", "metadata": { "examples_seen": "Input: 4586\nOutput: four thousand, five hundred and eighty-six\n\nInput: 9325\nOutput: nine thousand, three hundred and twenty-five\n\nInput: 9941\nOutput: nine thousand, nine hundred and forty-one\n\nInput: 5687\nOutput: five thousand, six hundred and eighty-seven\n\nInput: 4304\nOutput: four thousand, three hundred and four" } }, "7": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 8517\nOutput: eight thousand, five hundred and seventeen\n\nInput: 5634\nOutput: five thousand, six hundred and thirty-four\n\nInput: 1977\nOutput: one thousand, nine hundred and seventy-seven\n\nInput: 4389\nOutput: four thousand, three hundred and eighty-nine\n\nInput: 1507\nOutput: one thousand, five hundred and seven\n\nThe instruction was", "metadata": { "examples_seen": "Input: 8517\nOutput: eight thousand, five hundred and seventeen\n\nInput: 5634\nOutput: five thousand, six hundred and thirty-four\n\nInput: 1977\nOutput: one thousand, nine hundred and seventy-seven\n\nInput: 4389\nOutput: four thousand, three hundred and eighty-nine\n\nInput: 1507\nOutput: one thousand, five hundred and seven" } }, "8": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 424\nOutput: four hundred and twenty-four\n\nInput: 4901\nOutput: four thousand, nine hundred and one\n\nInput: 678\nOutput: six hundred and seventy-eight\n\nInput: 2003\nOutput: two thousand and three\n\nInput: 2556\nOutput: two thousand, five hundred and fifty-six\n\nThe instruction was", "metadata": { "examples_seen": "Input: 424\nOutput: four hundred and twenty-four\n\nInput: 4901\nOutput: four thousand, nine hundred and one\n\nInput: 678\nOutput: six hundred and seventy-eight\n\nInput: 2003\nOutput: two thousand and three\n\nInput: 2556\nOutput: two thousand, five hundred and fifty-six" } }, "9": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 7917\nOutput: seven thousand, nine hundred and seventeen\n\nInput: 4589\nOutput: four thousand, five hundred and eighty-nine\n\nInput: 267\nOutput: two hundred and sixty-seven\n\nInput: 4976\nOutput: four thousand, nine hundred and seventy-six\n\nInput: 7841\nOutput: seven thousand, eight hundred and forty-one\n\nThe instruction was", "metadata": { "examples_seen": "Input: 7917\nOutput: seven thousand, nine hundred and seventeen\n\nInput: 4589\nOutput: four thousand, five hundred and eighty-nine\n\nInput: 267\nOutput: two hundred and sixty-seven\n\nInput: 4976\nOutput: four thousand, nine hundred and seventy-six\n\nInput: 7841\nOutput: seven thousand, eight hundred and forty-one" } }, "10": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 6898\nOutput: six thousand, eight hundred and ninety-eight\n\nInput: 2235\nOutput: two thousand, two hundred and thirty-five\n\nInput: 3118\nOutput: three thousand, one hundred and eighteen\n\nInput: 7504\nOutput: seven thousand, five hundred and four\n\nInput: 7496\nOutput: seven thousand, four hundred and ninety-six\n\nThe instruction was", "metadata": { "examples_seen": "Input: 6898\nOutput: six thousand, eight hundred and ninety-eight\n\nInput: 2235\nOutput: two thousand, two hundred and thirty-five\n\nInput: 3118\nOutput: three thousand, one hundred and eighteen\n\nInput: 7504\nOutput: seven thousand, five hundred and four\n\nInput: 7496\nOutput: seven thousand, four hundred and ninety-six" } }, "11": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 8812\nOutput: eight thousand, eight hundred and twelve\n\nInput: 7696\nOutput: seven thousand, six hundred and ninety-six\n\nInput: 5861\nOutput: five thousand, eight hundred and sixty-one\n\nInput: 4943\nOutput: four thousand, nine hundred and forty-three\n\nInput: 3464\nOutput: three thousand, four hundred and sixty-four\n\nThe instruction was", "metadata": { "examples_seen": "Input: 8812\nOutput: eight thousand, eight hundred and twelve\n\nInput: 7696\nOutput: seven thousand, six hundred and ninety-six\n\nInput: 5861\nOutput: five thousand, eight hundred and sixty-one\n\nInput: 4943\nOutput: four thousand, nine hundred and forty-three\n\nInput: 3464\nOutput: three thousand, four hundred and sixty-four" } }, "12": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 3273\nOutput: three thousand, two hundred and seventy-three\n\nInput: 6828\nOutput: six thousand, eight hundred and twenty-eight\n\nInput: 6238\nOutput: six thousand, two hundred and thirty-eight\n\nInput: 9759\nOutput: nine thousand, seven hundred and fifty-nine\n\nInput: 3911\nOutput: three thousand, nine hundred and eleven\n\nThe instruction was", "metadata": { "examples_seen": "Input: 3273\nOutput: three thousand, two hundred and seventy-three\n\nInput: 6828\nOutput: six thousand, eight hundred and twenty-eight\n\nInput: 6238\nOutput: six thousand, two hundred and thirty-eight\n\nInput: 9759\nOutput: nine thousand, seven hundred and fifty-nine\n\nInput: 3911\nOutput: three thousand, nine hundred and eleven" } }, "13": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 5513\nOutput: five thousand, five hundred and thirteen\n\nInput: 2405\nOutput: two thousand, four hundred and five\n\nInput: 7150\nOutput: seven thousand, one hundred and fifty\n\nInput: 8079\nOutput: eight thousand and seventy-nine\n\nInput: 2672\nOutput: two thousand, six hundred and seventy-two\n\nThe instruction was", "metadata": { "examples_seen": "Input: 5513\nOutput: five thousand, five hundred and thirteen\n\nInput: 2405\nOutput: two thousand, four hundred and five\n\nInput: 7150\nOutput: seven thousand, one hundred and fifty\n\nInput: 8079\nOutput: eight thousand and seventy-nine\n\nInput: 2672\nOutput: two thousand, six hundred and seventy-two" } }, "14": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 3253\nOutput: three thousand, two hundred and fifty-three\n\nInput: 2147\nOutput: two thousand, one hundred and forty-seven\n\nInput: 6064\nOutput: six thousand and sixty-four\n\nInput: 4570\nOutput: four thousand, five hundred and seventy\n\nInput: 2987\nOutput: two thousand, nine hundred and eighty-seven\n\nThe instruction was", "metadata": { "examples_seen": "Input: 3253\nOutput: three thousand, two hundred and fifty-three\n\nInput: 2147\nOutput: two thousand, one hundred and forty-seven\n\nInput: 6064\nOutput: six thousand and sixty-four\n\nInput: 4570\nOutput: four thousand, five hundred and seventy\n\nInput: 2987\nOutput: two thousand, nine hundred and eighty-seven" } }, "15": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 7702\nOutput: seven thousand, seven hundred and two\n\nInput: 8524\nOutput: eight thousand, five hundred and twenty-four\n\nInput: 2743\nOutput: two thousand, seven hundred and forty-three\n\nInput: 2401\nOutput: two thousand, four hundred and one\n\nInput: 4563\nOutput: four thousand, five hundred and sixty-three\n\nThe instruction was", "metadata": { "examples_seen": "Input: 7702\nOutput: seven thousand, seven hundred and two\n\nInput: 8524\nOutput: eight thousand, five hundred and twenty-four\n\nInput: 2743\nOutput: two thousand, seven hundred and forty-three\n\nInput: 2401\nOutput: two thousand, four hundred and one\n\nInput: 4563\nOutput: four thousand, five hundred and sixty-three" } }, "16": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 8655\nOutput: eight thousand, six hundred and fifty-five\n\nInput: 2742\nOutput: two thousand, seven hundred and forty-two\n\nInput: 1729\nOutput: one thousand, seven hundred and twenty-nine\n\nInput: 9055\nOutput: nine thousand and fifty-five\n\nInput: 8755\nOutput: eight thousand, seven hundred and fifty-five\n\nThe instruction was", "metadata": { "examples_seen": "Input: 8655\nOutput: eight thousand, six hundred and fifty-five\n\nInput: 2742\nOutput: two thousand, seven hundred and forty-two\n\nInput: 1729\nOutput: one thousand, seven hundred and twenty-nine\n\nInput: 9055\nOutput: nine thousand and fifty-five\n\nInput: 8755\nOutput: eight thousand, seven hundred and fifty-five" } }, "17": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 5255\nOutput: five thousand, two hundred and fifty-five\n\nInput: 4353\nOutput: four thousand, three hundred and fifty-three\n\nInput: 3564\nOutput: three thousand, five hundred and sixty-four\n\nInput: 9686\nOutput: nine thousand, six hundred and eighty-six\n\nInput: 4585\nOutput: four thousand, five hundred and eighty-five\n\nThe instruction was", "metadata": { "examples_seen": "Input: 5255\nOutput: five thousand, two hundred and fifty-five\n\nInput: 4353\nOutput: four thousand, three hundred and fifty-three\n\nInput: 3564\nOutput: three thousand, five hundred and sixty-four\n\nInput: 9686\nOutput: nine thousand, six hundred and eighty-six\n\nInput: 4585\nOutput: four thousand, five hundred and eighty-five" } }, "18": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 2175\nOutput: two thousand, one hundred and seventy-five\n\nInput: 2853\nOutput: two thousand, eight hundred and fifty-three\n\nInput: 1922\nOutput: one thousand, nine hundred and twenty-two\n\nInput: 503\nOutput: five hundred and three\n\nInput: 1655\nOutput: one thousand, six hundred and fifty-five\n\nThe instruction was", "metadata": { "examples_seen": "Input: 2175\nOutput: two thousand, one hundred and seventy-five\n\nInput: 2853\nOutput: two thousand, eight hundred and fifty-three\n\nInput: 1922\nOutput: one thousand, nine hundred and twenty-two\n\nInput: 503\nOutput: five hundred and three\n\nInput: 1655\nOutput: one thousand, six hundred and fifty-five" } }, "19": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 6200\nOutput: six thousand, two hundred\n\nInput: 1602\nOutput: one thousand, six hundred and two\n\nInput: 8022\nOutput: eight thousand and twenty-two\n\nInput: 3398\nOutput: three thousand, three hundred and ninety-eight\n\nInput: 3306\nOutput: three thousand, three hundred and six\n\nThe instruction was", "metadata": { "examples_seen": "Input: 6200\nOutput: six thousand, two hundred\n\nInput: 1602\nOutput: one thousand, six hundred and two\n\nInput: 8022\nOutput: eight thousand and twenty-two\n\nInput: 3398\nOutput: three thousand, three hundred and ninety-eight\n\nInput: 3306\nOutput: three thousand, three hundred and six" } }, "20": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 7985\nOutput: seven thousand, nine hundred and eighty-five\n\nInput: 5392\nOutput: five thousand, three hundred and ninety-two\n\nInput: 2265\nOutput: two thousand, two hundred and sixty-five\n\nInput: 447\nOutput: four hundred and forty-seven\n\nInput: 6466\nOutput: six thousand, four hundred and sixty-six\n\nThe instruction was", "metadata": { "examples_seen": "Input: 7985\nOutput: seven thousand, nine hundred and eighty-five\n\nInput: 5392\nOutput: five thousand, three hundred and ninety-two\n\nInput: 2265\nOutput: two thousand, two hundred and sixty-five\n\nInput: 447\nOutput: four hundred and forty-seven\n\nInput: 6466\nOutput: six thousand, four hundred and sixty-six" } }, "21": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 4653\nOutput: four thousand, six hundred and fifty-three\n\nInput: 3425\nOutput: three thousand, four hundred and twenty-five\n\nInput: 8774\nOutput: eight thousand, seven hundred and seventy-four\n\nInput: 4437\nOutput: four thousand, four hundred and thirty-seven\n\nInput: 6125\nOutput: six thousand, one hundred and twenty-five\n\nThe instruction was", "metadata": { "examples_seen": "Input: 4653\nOutput: four thousand, six hundred and fifty-three\n\nInput: 3425\nOutput: three thousand, four hundred and twenty-five\n\nInput: 8774\nOutput: eight thousand, seven hundred and seventy-four\n\nInput: 4437\nOutput: four thousand, four hundred and thirty-seven\n\nInput: 6125\nOutput: six thousand, one hundred and twenty-five" } }, "22": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 5384\nOutput: five thousand, three hundred and eighty-four\n\nInput: 9338\nOutput: nine thousand, three hundred and thirty-eight\n\nInput: 8125\nOutput: eight thousand, one hundred and twenty-five\n\nInput: 4101\nOutput: four thousand, one hundred and one\n\nInput: 3538\nOutput: three thousand, five hundred and thirty-eight\n\nThe instruction was", "metadata": { "examples_seen": "Input: 5384\nOutput: five thousand, three hundred and eighty-four\n\nInput: 9338\nOutput: nine thousand, three hundred and thirty-eight\n\nInput: 8125\nOutput: eight thousand, one hundred and twenty-five\n\nInput: 4101\nOutput: four thousand, one hundred and one\n\nInput: 3538\nOutput: three thousand, five hundred and thirty-eight" } }, "23": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 6884\nOutput: six thousand, eight hundred and eighty-four\n\nInput: 7117\nOutput: seven thousand, one hundred and seventeen\n\nInput: 4817\nOutput: four thousand, eight hundred and seventeen\n\nInput: 9447\nOutput: nine thousand, four hundred and forty-seven\n\nInput: 2919\nOutput: two thousand, nine hundred and nineteen\n\nThe instruction was", "metadata": { "examples_seen": "Input: 6884\nOutput: six thousand, eight hundred and eighty-four\n\nInput: 7117\nOutput: seven thousand, one hundred and seventeen\n\nInput: 4817\nOutput: four thousand, eight hundred and seventeen\n\nInput: 9447\nOutput: nine thousand, four hundred and forty-seven\n\nInput: 2919\nOutput: two thousand, nine hundred and nineteen" } }, "24": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 695\nOutput: six hundred and ninety-five\n\nInput: 5519\nOutput: five thousand, five hundred and nineteen\n\nInput: 3062\nOutput: three thousand and sixty-two\n\nInput: 7822\nOutput: seven thousand, eight hundred and twenty-two\n\nInput: 7725\nOutput: seven thousand, seven hundred and twenty-five\n\nThe instruction was", "metadata": { "examples_seen": "Input: 695\nOutput: six hundred and ninety-five\n\nInput: 5519\nOutput: five thousand, five hundred and nineteen\n\nInput: 3062\nOutput: three thousand and sixty-two\n\nInput: 7822\nOutput: seven thousand, eight hundred and twenty-two\n\nInput: 7725\nOutput: seven thousand, seven hundred and twenty-five" } }, "25": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 83\nOutput: eighty-three\n\nInput: 8238\nOutput: eight thousand, two hundred and thirty-eight\n\nInput: 911\nOutput: nine hundred and eleven\n\nInput: 6362\nOutput: six thousand, three hundred and sixty-two\n\nInput: 5612\nOutput: five thousand, six hundred and twelve\n\nThe instruction was", "metadata": { "examples_seen": "Input: 83\nOutput: eighty-three\n\nInput: 8238\nOutput: eight thousand, two hundred and thirty-eight\n\nInput: 911\nOutput: nine hundred and eleven\n\nInput: 6362\nOutput: six thousand, three hundred and sixty-two\n\nInput: 5612\nOutput: five thousand, six hundred and twelve" } }, "26": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 2075\nOutput: two thousand and seventy-five\n\nInput: 3594\nOutput: three thousand, five hundred and ninety-four\n\nInput: 8966\nOutput: eight thousand, nine hundred and sixty-six\n\nInput: 6970\nOutput: six thousand, nine hundred and seventy\n\nInput: 1967\nOutput: one thousand, nine hundred and sixty-seven\n\nThe instruction was", "metadata": { "examples_seen": "Input: 2075\nOutput: two thousand and seventy-five\n\nInput: 3594\nOutput: three thousand, five hundred and ninety-four\n\nInput: 8966\nOutput: eight thousand, nine hundred and sixty-six\n\nInput: 6970\nOutput: six thousand, nine hundred and seventy\n\nInput: 1967\nOutput: one thousand, nine hundred and sixty-seven" } }, "27": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 3251\nOutput: three thousand, two hundred and fifty-one\n\nInput: 9925\nOutput: nine thousand, nine hundred and twenty-five\n\nInput: 6543\nOutput: six thousand, five hundred and forty-three\n\nInput: 6794\nOutput: six thousand, seven hundred and ninety-four\n\nInput: 4700\nOutput: four thousand, seven hundred\n\nThe instruction was", "metadata": { "examples_seen": "Input: 3251\nOutput: three thousand, two hundred and fifty-one\n\nInput: 9925\nOutput: nine thousand, nine hundred and twenty-five\n\nInput: 6543\nOutput: six thousand, five hundred and forty-three\n\nInput: 6794\nOutput: six thousand, seven hundred and ninety-four\n\nInput: 4700\nOutput: four thousand, seven hundred" } }, "28": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 5813\nOutput: five thousand, eight hundred and thirteen\n\nInput: 327\nOutput: three hundred and twenty-seven\n\nInput: 8349\nOutput: eight thousand, three hundred and forty-nine\n\nInput: 8011\nOutput: eight thousand and eleven\n\nInput: 9557\nOutput: nine thousand, five hundred and fifty-seven\n\nThe instruction was", "metadata": { "examples_seen": "Input: 5813\nOutput: five thousand, eight hundred and thirteen\n\nInput: 327\nOutput: three hundred and twenty-seven\n\nInput: 8349\nOutput: eight thousand, three hundred and forty-nine\n\nInput: 8011\nOutput: eight thousand and eleven\n\nInput: 9557\nOutput: nine thousand, five hundred and fifty-seven" } }, "29": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 8813\nOutput: eight thousand, eight hundred and thirteen\n\nInput: 3589\nOutput: three thousand, five hundred and eighty-nine\n\nInput: 9754\nOutput: nine thousand, seven hundred and fifty-four\n\nInput: 4411\nOutput: four thousand, four hundred and eleven\n\nInput: 8060\nOutput: eight thousand and sixty\n\nThe instruction was", "metadata": { "examples_seen": "Input: 8813\nOutput: eight thousand, eight hundred and thirteen\n\nInput: 3589\nOutput: three thousand, five hundred and eighty-nine\n\nInput: 9754\nOutput: nine thousand, seven hundred and fifty-four\n\nInput: 4411\nOutput: four thousand, four hundred and eleven\n\nInput: 8060\nOutput: eight thousand and sixty" } }, "30": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 6087\nOutput: six thousand and eighty-seven\n\nInput: 3931\nOutput: three thousand, nine hundred and thirty-one\n\nInput: 3894\nOutput: three thousand, eight hundred and ninety-four\n\nInput: 1812\nOutput: one thousand, eight hundred and twelve\n\nInput: 2133\nOutput: two thousand, one hundred and thirty-three\n\nThe instruction was", "metadata": { "examples_seen": "Input: 6087\nOutput: six thousand and eighty-seven\n\nInput: 3931\nOutput: three thousand, nine hundred and thirty-one\n\nInput: 3894\nOutput: three thousand, eight hundred and ninety-four\n\nInput: 1812\nOutput: one thousand, eight hundred and twelve\n\nInput: 2133\nOutput: two thousand, one hundred and thirty-three" } }, "31": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 8381\nOutput: eight thousand, three hundred and eighty-one\n\nInput: 1594\nOutput: one thousand, five hundred and ninety-four\n\nInput: 292\nOutput: two hundred and ninety-two\n\nInput: 6380\nOutput: six thousand, three hundred and eighty\n\nInput: 1297\nOutput: one thousand, two hundred and ninety-seven\n\nThe instruction was", "metadata": { "examples_seen": "Input: 8381\nOutput: eight thousand, three hundred and eighty-one\n\nInput: 1594\nOutput: one thousand, five hundred and ninety-four\n\nInput: 292\nOutput: two hundred and ninety-two\n\nInput: 6380\nOutput: six thousand, three hundred and eighty\n\nInput: 1297\nOutput: one thousand, two hundred and ninety-seven" } }, "32": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 4053\nOutput: four thousand and fifty-three\n\nInput: 423\nOutput: four hundred and twenty-three\n\nInput: 6943\nOutput: six thousand, nine hundred and forty-three\n\nInput: 526\nOutput: five hundred and twenty-six\n\nInput: 6379\nOutput: six thousand, three hundred and seventy-nine\n\nThe instruction was", "metadata": { "examples_seen": "Input: 4053\nOutput: four thousand and fifty-three\n\nInput: 423\nOutput: four hundred and twenty-three\n\nInput: 6943\nOutput: six thousand, nine hundred and forty-three\n\nInput: 526\nOutput: five hundred and twenty-six\n\nInput: 6379\nOutput: six thousand, three hundred and seventy-nine" } }, "33": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 6206\nOutput: six thousand, two hundred and six\n\nInput: 1301\nOutput: one thousand, three hundred and one\n\nInput: 5125\nOutput: five thousand, one hundred and twenty-five\n\nInput: 8325\nOutput: eight thousand, three hundred and twenty-five\n\nInput: 1204\nOutput: one thousand, two hundred and four\n\nThe instruction was", "metadata": { "examples_seen": "Input: 6206\nOutput: six thousand, two hundred and six\n\nInput: 1301\nOutput: one thousand, three hundred and one\n\nInput: 5125\nOutput: five thousand, one hundred and twenty-five\n\nInput: 8325\nOutput: eight thousand, three hundred and twenty-five\n\nInput: 1204\nOutput: one thousand, two hundred and four" } }, "34": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 8157\nOutput: eight thousand, one hundred and fifty-seven\n\nInput: 270\nOutput: two hundred and seventy\n\nInput: 727\nOutput: seven hundred and twenty-seven\n\nInput: 6619\nOutput: six thousand, six hundred and nineteen\n\nInput: 9323\nOutput: nine thousand, three hundred and twenty-three\n\nThe instruction was", "metadata": { "examples_seen": "Input: 8157\nOutput: eight thousand, one hundred and fifty-seven\n\nInput: 270\nOutput: two hundred and seventy\n\nInput: 727\nOutput: seven hundred and twenty-seven\n\nInput: 6619\nOutput: six thousand, six hundred and nineteen\n\nInput: 9323\nOutput: nine thousand, three hundred and twenty-three" } }, "35": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 9159\nOutput: nine thousand, one hundred and fifty-nine\n\nInput: 579\nOutput: five hundred and seventy-nine\n\nInput: 400\nOutput: four hundred\n\nInput: 2759\nOutput: two thousand, seven hundred and fifty-nine\n\nInput: 7271\nOutput: seven thousand, two hundred and seventy-one\n\nThe instruction was", "metadata": { "examples_seen": "Input: 9159\nOutput: nine thousand, one hundred and fifty-nine\n\nInput: 579\nOutput: five hundred and seventy-nine\n\nInput: 400\nOutput: four hundred\n\nInput: 2759\nOutput: two thousand, seven hundred and fifty-nine\n\nInput: 7271\nOutput: seven thousand, two hundred and seventy-one" } }, "36": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 2542\nOutput: two thousand, five hundred and forty-two\n\nInput: 5879\nOutput: five thousand, eight hundred and seventy-nine\n\nInput: 752\nOutput: seven hundred and fifty-two\n\nInput: 2314\nOutput: two thousand, three hundred and fourteen\n\nInput: 4047\nOutput: four thousand and forty-seven\n\nThe instruction was", "metadata": { "examples_seen": "Input: 2542\nOutput: two thousand, five hundred and forty-two\n\nInput: 5879\nOutput: five thousand, eight hundred and seventy-nine\n\nInput: 752\nOutput: seven hundred and fifty-two\n\nInput: 2314\nOutput: two thousand, three hundred and fourteen\n\nInput: 4047\nOutput: four thousand and forty-seven" } }, "37": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 5510\nOutput: five thousand, five hundred and ten\n\nInput: 8275\nOutput: eight thousand, two hundred and seventy-five\n\nInput: 7937\nOutput: seven thousand, nine hundred and thirty-seven\n\nInput: 6198\nOutput: six thousand, one hundred and ninety-eight\n\nInput: 3570\nOutput: three thousand, five hundred and seventy\n\nThe instruction was", "metadata": { "examples_seen": "Input: 5510\nOutput: five thousand, five hundred and ten\n\nInput: 8275\nOutput: eight thousand, two hundred and seventy-five\n\nInput: 7937\nOutput: seven thousand, nine hundred and thirty-seven\n\nInput: 6198\nOutput: six thousand, one hundred and ninety-eight\n\nInput: 3570\nOutput: three thousand, five hundred and seventy" } }, "38": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 2996\nOutput: two thousand, nine hundred and ninety-six\n\nInput: 9848\nOutput: nine thousand, eight hundred and forty-eight\n\nInput: 2272\nOutput: two thousand, two hundred and seventy-two\n\nInput: 4446\nOutput: four thousand, four hundred and forty-six\n\nInput: 1709\nOutput: one thousand, seven hundred and nine\n\nThe instruction was", "metadata": { "examples_seen": "Input: 2996\nOutput: two thousand, nine hundred and ninety-six\n\nInput: 9848\nOutput: nine thousand, eight hundred and forty-eight\n\nInput: 2272\nOutput: two thousand, two hundred and seventy-two\n\nInput: 4446\nOutput: four thousand, four hundred and forty-six\n\nInput: 1709\nOutput: one thousand, seven hundred and nine" } }, "39": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 222\nOutput: two hundred and twenty-two\n\nInput: 5218\nOutput: five thousand, two hundred and eighteen\n\nInput: 7701\nOutput: seven thousand, seven hundred and one\n\nInput: 7775\nOutput: seven thousand, seven hundred and seventy-five\n\nInput: 1629\nOutput: one thousand, six hundred and twenty-nine\n\nThe instruction was", "metadata": { "examples_seen": "Input: 222\nOutput: two hundred and twenty-two\n\nInput: 5218\nOutput: five thousand, two hundred and eighteen\n\nInput: 7701\nOutput: seven thousand, seven hundred and one\n\nInput: 7775\nOutput: seven thousand, seven hundred and seventy-five\n\nInput: 1629\nOutput: one thousand, six hundred and twenty-nine" } }, "40": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 5837\nOutput: five thousand, eight hundred and thirty-seven\n\nInput: 4043\nOutput: four thousand and forty-three\n\nInput: 767\nOutput: seven hundred and sixty-seven\n\nInput: 2491\nOutput: two thousand, four hundred and ninety-one\n\nInput: 6195\nOutput: six thousand, one hundred and ninety-five\n\nThe instruction was", "metadata": { "examples_seen": "Input: 5837\nOutput: five thousand, eight hundred and thirty-seven\n\nInput: 4043\nOutput: four thousand and forty-three\n\nInput: 767\nOutput: seven hundred and sixty-seven\n\nInput: 2491\nOutput: two thousand, four hundred and ninety-one\n\nInput: 6195\nOutput: six thousand, one hundred and ninety-five" } }, "41": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 8580\nOutput: eight thousand, five hundred and eighty\n\nInput: 3205\nOutput: three thousand, two hundred and five\n\nInput: 4245\nOutput: four thousand, two hundred and forty-five\n\nInput: 598\nOutput: five hundred and ninety-eight\n\nInput: 4786\nOutput: four thousand, seven hundred and eighty-six\n\nThe instruction was", "metadata": { "examples_seen": "Input: 8580\nOutput: eight thousand, five hundred and eighty\n\nInput: 3205\nOutput: three thousand, two hundred and five\n\nInput: 4245\nOutput: four thousand, two hundred and forty-five\n\nInput: 598\nOutput: five hundred and ninety-eight\n\nInput: 4786\nOutput: four thousand, seven hundred and eighty-six" } }, "42": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 6095\nOutput: six thousand and ninety-five\n\nInput: 169\nOutput: one hundred and sixty-nine\n\nInput: 5665\nOutput: five thousand, six hundred and sixty-five\n\nInput: 2456\nOutput: two thousand, four hundred and fifty-six\n\nInput: 8252\nOutput: eight thousand, two hundred and fifty-two\n\nThe instruction was", "metadata": { "examples_seen": "Input: 6095\nOutput: six thousand and ninety-five\n\nInput: 169\nOutput: one hundred and sixty-nine\n\nInput: 5665\nOutput: five thousand, six hundred and sixty-five\n\nInput: 2456\nOutput: two thousand, four hundred and fifty-six\n\nInput: 8252\nOutput: eight thousand, two hundred and fifty-two" } }, "43": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 2306\nOutput: two thousand, three hundred and six\n\nInput: 3141\nOutput: three thousand, one hundred and forty-one\n\nInput: 9684\nOutput: nine thousand, six hundred and eighty-four\n\nInput: 7290\nOutput: seven thousand, two hundred and ninety\n\nInput: 517\nOutput: five hundred and seventeen\n\nThe instruction was", "metadata": { "examples_seen": "Input: 2306\nOutput: two thousand, three hundred and six\n\nInput: 3141\nOutput: three thousand, one hundred and forty-one\n\nInput: 9684\nOutput: nine thousand, six hundred and eighty-four\n\nInput: 7290\nOutput: seven thousand, two hundred and ninety\n\nInput: 517\nOutput: five hundred and seventeen" } }, "44": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 4800\nOutput: four thousand, eight hundred\n\nInput: 5899\nOutput: five thousand, eight hundred and ninety-nine\n\nInput: 5599\nOutput: five thousand, five hundred and ninety-nine\n\nInput: 7347\nOutput: seven thousand, three hundred and forty-seven\n\nInput: 5932\nOutput: five thousand, nine hundred and thirty-two\n\nThe instruction was", "metadata": { "examples_seen": "Input: 4800\nOutput: four thousand, eight hundred\n\nInput: 5899\nOutput: five thousand, eight hundred and ninety-nine\n\nInput: 5599\nOutput: five thousand, five hundred and ninety-nine\n\nInput: 7347\nOutput: seven thousand, three hundred and forty-seven\n\nInput: 5932\nOutput: five thousand, nine hundred and thirty-two" } }, "45": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 4150\nOutput: four thousand, one hundred and fifty\n\nInput: 1907\nOutput: one thousand, nine hundred and seven\n\nInput: 1085\nOutput: one thousand and eighty-five\n\nInput: 2166\nOutput: two thousand, one hundred and sixty-six\n\nInput: 5785\nOutput: five thousand, seven hundred and eighty-five\n\nThe instruction was", "metadata": { "examples_seen": "Input: 4150\nOutput: four thousand, one hundred and fifty\n\nInput: 1907\nOutput: one thousand, nine hundred and seven\n\nInput: 1085\nOutput: one thousand and eighty-five\n\nInput: 2166\nOutput: two thousand, one hundred and sixty-six\n\nInput: 5785\nOutput: five thousand, seven hundred and eighty-five" } }, "46": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 8405\nOutput: eight thousand, four hundred and five\n\nInput: 8926\nOutput: eight thousand, nine hundred and twenty-six\n\nInput: 2154\nOutput: two thousand, one hundred and fifty-four\n\nInput: 4629\nOutput: four thousand, six hundred and twenty-nine\n\nInput: 9155\nOutput: nine thousand, one hundred and fifty-five\n\nThe instruction was", "metadata": { "examples_seen": "Input: 8405\nOutput: eight thousand, four hundred and five\n\nInput: 8926\nOutput: eight thousand, nine hundred and twenty-six\n\nInput: 2154\nOutput: two thousand, one hundred and fifty-four\n\nInput: 4629\nOutput: four thousand, six hundred and twenty-nine\n\nInput: 9155\nOutput: nine thousand, one hundred and fifty-five" } }, "47": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 9104\nOutput: nine thousand, one hundred and four\n\nInput: 266\nOutput: two hundred and sixty-six\n\nInput: 8189\nOutput: eight thousand, one hundred and eighty-nine\n\nInput: 4566\nOutput: four thousand, five hundred and sixty-six\n\nInput: 9215\nOutput: nine thousand, two hundred and fifteen\n\nThe instruction was", "metadata": { "examples_seen": "Input: 9104\nOutput: nine thousand, one hundred and four\n\nInput: 266\nOutput: two hundred and sixty-six\n\nInput: 8189\nOutput: eight thousand, one hundred and eighty-nine\n\nInput: 4566\nOutput: four thousand, five hundred and sixty-six\n\nInput: 9215\nOutput: nine thousand, two hundred and fifteen" } }, "48": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 9181\nOutput: nine thousand, one hundred and eighty-one\n\nInput: 7249\nOutput: seven thousand, two hundred and forty-nine\n\nInput: 8510\nOutput: eight thousand, five hundred and ten\n\nInput: 9755\nOutput: nine thousand, seven hundred and fifty-five\n\nInput: 3184\nOutput: three thousand, one hundred and eighty-four\n\nThe instruction was", "metadata": { "examples_seen": "Input: 9181\nOutput: nine thousand, one hundred and eighty-one\n\nInput: 7249\nOutput: seven thousand, two hundred and forty-nine\n\nInput: 8510\nOutput: eight thousand, five hundred and ten\n\nInput: 9755\nOutput: nine thousand, seven hundred and fifty-five\n\nInput: 3184\nOutput: three thousand, one hundred and eighty-four" } }, "49": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 8355\nOutput: eight thousand, three hundred and fifty-five\n\nInput: 2160\nOutput: two thousand, one hundred and sixty\n\nInput: 8712\nOutput: eight thousand, seven hundred and twelve\n\nInput: 2605\nOutput: two thousand, six hundred and five\n\nInput: 7773\nOutput: seven thousand, seven hundred and seventy-three\n\nThe instruction was", "metadata": { "examples_seen": "Input: 8355\nOutput: eight thousand, three hundred and fifty-five\n\nInput: 2160\nOutput: two thousand, one hundred and sixty\n\nInput: 8712\nOutput: eight thousand, seven hundred and twelve\n\nInput: 2605\nOutput: two thousand, six hundred and five\n\nInput: 7773\nOutput: seven thousand, seven hundred and seventy-three" } }, "50": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 2640\nOutput: two thousand, six hundred and forty\n\nInput: 2083\nOutput: two thousand and eighty-three\n\nInput: 142\nOutput: one hundred and forty-two\n\nInput: 1008\nOutput: one thousand and eight\n\nInput: 6470\nOutput: six thousand, four hundred and seventy\n\nThe instruction was", "metadata": { "examples_seen": "Input: 2640\nOutput: two thousand, six hundred and forty\n\nInput: 2083\nOutput: two thousand and eighty-three\n\nInput: 142\nOutput: one hundred and forty-two\n\nInput: 1008\nOutput: one thousand and eight\n\nInput: 6470\nOutput: six thousand, four hundred and seventy" } }, "51": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 618\nOutput: six hundred and eighteen\n\nInput: 9780\nOutput: nine thousand, seven hundred and eighty\n\nInput: 6709\nOutput: six thousand, seven hundred and nine\n\nInput: 9344\nOutput: nine thousand, three hundred and forty-four\n\nInput: 3853\nOutput: three thousand, eight hundred and fifty-three\n\nThe instruction was", "metadata": { "examples_seen": "Input: 618\nOutput: six hundred and eighteen\n\nInput: 9780\nOutput: nine thousand, seven hundred and eighty\n\nInput: 6709\nOutput: six thousand, seven hundred and nine\n\nInput: 9344\nOutput: nine thousand, three hundred and forty-four\n\nInput: 3853\nOutput: three thousand, eight hundred and fifty-three" } }, "52": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 4789\nOutput: four thousand, seven hundred and eighty-nine\n\nInput: 7898\nOutput: seven thousand, eight hundred and ninety-eight\n\nInput: 9242\nOutput: nine thousand, two hundred and forty-two\n\nInput: 5697\nOutput: five thousand, six hundred and ninety-seven\n\nInput: 1320\nOutput: one thousand, three hundred and twenty\n\nThe instruction was", "metadata": { "examples_seen": "Input: 4789\nOutput: four thousand, seven hundred and eighty-nine\n\nInput: 7898\nOutput: seven thousand, eight hundred and ninety-eight\n\nInput: 9242\nOutput: nine thousand, two hundred and forty-two\n\nInput: 5697\nOutput: five thousand, six hundred and ninety-seven\n\nInput: 1320\nOutput: one thousand, three hundred and twenty" } }, "53": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 9666\nOutput: nine thousand, six hundred and sixty-six\n\nInput: 871\nOutput: eight hundred and seventy-one\n\nInput: 6473\nOutput: six thousand, four hundred and seventy-three\n\nInput: 5888\nOutput: five thousand, eight hundred and eighty-eight\n\nInput: 1758\nOutput: one thousand, seven hundred and fifty-eight\n\nThe instruction was", "metadata": { "examples_seen": "Input: 9666\nOutput: nine thousand, six hundred and sixty-six\n\nInput: 871\nOutput: eight hundred and seventy-one\n\nInput: 6473\nOutput: six thousand, four hundred and seventy-three\n\nInput: 5888\nOutput: five thousand, eight hundred and eighty-eight\n\nInput: 1758\nOutput: one thousand, seven hundred and fifty-eight" } }, "54": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 9805\nOutput: nine thousand, eight hundred and five\n\nInput: 6843\nOutput: six thousand, eight hundred and forty-three\n\nInput: 1537\nOutput: one thousand, five hundred and thirty-seven\n\nInput: 6476\nOutput: six thousand, four hundred and seventy-six\n\nInput: 6893\nOutput: six thousand, eight hundred and ninety-three\n\nThe instruction was", "metadata": { "examples_seen": "Input: 9805\nOutput: nine thousand, eight hundred and five\n\nInput: 6843\nOutput: six thousand, eight hundred and forty-three\n\nInput: 1537\nOutput: one thousand, five hundred and thirty-seven\n\nInput: 6476\nOutput: six thousand, four hundred and seventy-six\n\nInput: 6893\nOutput: six thousand, eight hundred and ninety-three" } }, "55": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 6345\nOutput: six thousand, three hundred and forty-five\n\nInput: 5279\nOutput: five thousand, two hundred and seventy-nine\n\nInput: 7985\nOutput: seven thousand, nine hundred and eighty-five\n\nInput: 2218\nOutput: two thousand, two hundred and eighteen\n\nInput: 4337\nOutput: four thousand, three hundred and thirty-seven\n\nThe instruction was", "metadata": { "examples_seen": "Input: 6345\nOutput: six thousand, three hundred and forty-five\n\nInput: 5279\nOutput: five thousand, two hundred and seventy-nine\n\nInput: 7985\nOutput: seven thousand, nine hundred and eighty-five\n\nInput: 2218\nOutput: two thousand, two hundred and eighteen\n\nInput: 4337\nOutput: four thousand, three hundred and thirty-seven" } }, "56": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 2505\nOutput: two thousand, five hundred and five\n\nInput: 5472\nOutput: five thousand, four hundred and seventy-two\n\nInput: 96\nOutput: ninety-six\n\nInput: 8817\nOutput: eight thousand, eight hundred and seventeen\n\nInput: 9771\nOutput: nine thousand, seven hundred and seventy-one\n\nThe instruction was", "metadata": { "examples_seen": "Input: 2505\nOutput: two thousand, five hundred and five\n\nInput: 5472\nOutput: five thousand, four hundred and seventy-two\n\nInput: 96\nOutput: ninety-six\n\nInput: 8817\nOutput: eight thousand, eight hundred and seventeen\n\nInput: 9771\nOutput: nine thousand, seven hundred and seventy-one" } }, "57": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 1493\nOutput: one thousand, four hundred and ninety-three\n\nInput: 8778\nOutput: eight thousand, seven hundred and seventy-eight\n\nInput: 7829\nOutput: seven thousand, eight hundred and twenty-nine\n\nInput: 7925\nOutput: seven thousand, nine hundred and twenty-five\n\nInput: 1227\nOutput: one thousand, two hundred and twenty-seven\n\nThe instruction was", "metadata": { "examples_seen": "Input: 1493\nOutput: one thousand, four hundred and ninety-three\n\nInput: 8778\nOutput: eight thousand, seven hundred and seventy-eight\n\nInput: 7829\nOutput: seven thousand, eight hundred and twenty-nine\n\nInput: 7925\nOutput: seven thousand, nine hundred and twenty-five\n\nInput: 1227\nOutput: one thousand, two hundred and twenty-seven" } }, "58": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 9339\nOutput: nine thousand, three hundred and thirty-nine\n\nInput: 2926\nOutput: two thousand, nine hundred and twenty-six\n\nInput: 998\nOutput: nine hundred and ninety-eight\n\nInput: 2262\nOutput: two thousand, two hundred and sixty-two\n\nInput: 1704\nOutput: one thousand, seven hundred and four\n\nThe instruction was", "metadata": { "examples_seen": "Input: 9339\nOutput: nine thousand, three hundred and thirty-nine\n\nInput: 2926\nOutput: two thousand, nine hundred and twenty-six\n\nInput: 998\nOutput: nine hundred and ninety-eight\n\nInput: 2262\nOutput: two thousand, two hundred and sixty-two\n\nInput: 1704\nOutput: one thousand, seven hundred and four" } }, "59": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 3720\nOutput: three thousand, seven hundred and twenty\n\nInput: 4492\nOutput: four thousand, four hundred and ninety-two\n\nInput: 3487\nOutput: three thousand, four hundred and eighty-seven\n\nInput: 2065\nOutput: two thousand and sixty-five\n\nInput: 8951\nOutput: eight thousand, nine hundred and fifty-one\n\nThe instruction was", "metadata": { "examples_seen": "Input: 3720\nOutput: three thousand, seven hundred and twenty\n\nInput: 4492\nOutput: four thousand, four hundred and ninety-two\n\nInput: 3487\nOutput: three thousand, four hundred and eighty-seven\n\nInput: 2065\nOutput: two thousand and sixty-five\n\nInput: 8951\nOutput: eight thousand, nine hundred and fifty-one" } }, "60": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 1481\nOutput: one thousand, four hundred and eighty-one\n\nInput: 5345\nOutput: five thousand, three hundred and forty-five\n\nInput: 2767\nOutput: two thousand, seven hundred and sixty-seven\n\nInput: 6378\nOutput: six thousand, three hundred and seventy-eight\n\nInput: 1953\nOutput: one thousand, nine hundred and fifty-three\n\nThe instruction was", "metadata": { "examples_seen": "Input: 1481\nOutput: one thousand, four hundred and eighty-one\n\nInput: 5345\nOutput: five thousand, three hundred and forty-five\n\nInput: 2767\nOutput: two thousand, seven hundred and sixty-seven\n\nInput: 6378\nOutput: six thousand, three hundred and seventy-eight\n\nInput: 1953\nOutput: one thousand, nine hundred and fifty-three" } }, "61": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 9583\nOutput: nine thousand, five hundred and eighty-three\n\nInput: 9742\nOutput: nine thousand, seven hundred and forty-two\n\nInput: 4375\nOutput: four thousand, three hundred and seventy-five\n\nInput: 4926\nOutput: four thousand, nine hundred and twenty-six\n\nInput: 8485\nOutput: eight thousand, four hundred and eighty-five\n\nThe instruction was", "metadata": { "examples_seen": "Input: 9583\nOutput: nine thousand, five hundred and eighty-three\n\nInput: 9742\nOutput: nine thousand, seven hundred and forty-two\n\nInput: 4375\nOutput: four thousand, three hundred and seventy-five\n\nInput: 4926\nOutput: four thousand, nine hundred and twenty-six\n\nInput: 8485\nOutput: eight thousand, four hundred and eighty-five" } }, "62": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 2308\nOutput: two thousand, three hundred and eight\n\nInput: 1286\nOutput: one thousand, two hundred and eighty-six\n\nInput: 8750\nOutput: eight thousand, seven hundred and fifty\n\nInput: 1404\nOutput: one thousand, four hundred and four\n\nInput: 3631\nOutput: three thousand, six hundred and thirty-one\n\nThe instruction was", "metadata": { "examples_seen": "Input: 2308\nOutput: two thousand, three hundred and eight\n\nInput: 1286\nOutput: one thousand, two hundred and eighty-six\n\nInput: 8750\nOutput: eight thousand, seven hundred and fifty\n\nInput: 1404\nOutput: one thousand, four hundred and four\n\nInput: 3631\nOutput: three thousand, six hundred and thirty-one" } }, "63": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 5272\nOutput: five thousand, two hundred and seventy-two\n\nInput: 3166\nOutput: three thousand, one hundred and sixty-six\n\nInput: 1764\nOutput: one thousand, seven hundred and sixty-four\n\nInput: 7136\nOutput: seven thousand, one hundred and thirty-six\n\nInput: 411\nOutput: four hundred and eleven\n\nThe instruction was", "metadata": { "examples_seen": "Input: 5272\nOutput: five thousand, two hundred and seventy-two\n\nInput: 3166\nOutput: three thousand, one hundred and sixty-six\n\nInput: 1764\nOutput: one thousand, seven hundred and sixty-four\n\nInput: 7136\nOutput: seven thousand, one hundred and thirty-six\n\nInput: 411\nOutput: four hundred and eleven" } }, "64": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 6006\nOutput: six thousand and six\n\nInput: 3021\nOutput: three thousand and twenty-one\n\nInput: 5404\nOutput: five thousand, four hundred and four\n\nInput: 5451\nOutput: five thousand, four hundred and fifty-one\n\nInput: 5206\nOutput: five thousand, two hundred and six\n\nThe instruction was", "metadata": { "examples_seen": "Input: 6006\nOutput: six thousand and six\n\nInput: 3021\nOutput: three thousand and twenty-one\n\nInput: 5404\nOutput: five thousand, four hundred and four\n\nInput: 5451\nOutput: five thousand, four hundred and fifty-one\n\nInput: 5206\nOutput: five thousand, two hundred and six" } }, "65": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 5661\nOutput: five thousand, six hundred and sixty-one\n\nInput: 9558\nOutput: nine thousand, five hundred and fifty-eight\n\nInput: 8302\nOutput: eight thousand, three hundred and two\n\nInput: 4459\nOutput: four thousand, four hundred and fifty-nine\n\nInput: 2155\nOutput: two thousand, one hundred and fifty-five\n\nThe instruction was", "metadata": { "examples_seen": "Input: 5661\nOutput: five thousand, six hundred and sixty-one\n\nInput: 9558\nOutput: nine thousand, five hundred and fifty-eight\n\nInput: 8302\nOutput: eight thousand, three hundred and two\n\nInput: 4459\nOutput: four thousand, four hundred and fifty-nine\n\nInput: 2155\nOutput: two thousand, one hundred and fifty-five" } }, "66": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 9718\nOutput: nine thousand, seven hundred and eighteen\n\nInput: 1152\nOutput: one thousand, one hundred and fifty-two\n\nInput: 2306\nOutput: two thousand, three hundred and six\n\nInput: 9400\nOutput: nine thousand, four hundred\n\nInput: 2081\nOutput: two thousand and eighty-one\n\nThe instruction was", "metadata": { "examples_seen": "Input: 9718\nOutput: nine thousand, seven hundred and eighteen\n\nInput: 1152\nOutput: one thousand, one hundred and fifty-two\n\nInput: 2306\nOutput: two thousand, three hundred and six\n\nInput: 9400\nOutput: nine thousand, four hundred\n\nInput: 2081\nOutput: two thousand and eighty-one" } }, "67": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 1724\nOutput: one thousand, seven hundred and twenty-four\n\nInput: 7273\nOutput: seven thousand, two hundred and seventy-three\n\nInput: 4240\nOutput: four thousand, two hundred and forty\n\nInput: 3754\nOutput: three thousand, seven hundred and fifty-four\n\nInput: 2126\nOutput: two thousand, one hundred and twenty-six\n\nThe instruction was", "metadata": { "examples_seen": "Input: 1724\nOutput: one thousand, seven hundred and twenty-four\n\nInput: 7273\nOutput: seven thousand, two hundred and seventy-three\n\nInput: 4240\nOutput: four thousand, two hundred and forty\n\nInput: 3754\nOutput: three thousand, seven hundred and fifty-four\n\nInput: 2126\nOutput: two thousand, one hundred and twenty-six" } }, "68": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 4240\nOutput: four thousand, two hundred and forty\n\nInput: 4702\nOutput: four thousand, seven hundred and two\n\nInput: 1698\nOutput: one thousand, six hundred and ninety-eight\n\nInput: 6493\nOutput: six thousand, four hundred and ninety-three\n\nInput: 9611\nOutput: nine thousand, six hundred and eleven\n\nThe instruction was", "metadata": { "examples_seen": "Input: 4240\nOutput: four thousand, two hundred and forty\n\nInput: 4702\nOutput: four thousand, seven hundred and two\n\nInput: 1698\nOutput: one thousand, six hundred and ninety-eight\n\nInput: 6493\nOutput: six thousand, four hundred and ninety-three\n\nInput: 9611\nOutput: nine thousand, six hundred and eleven" } }, "69": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 4994\nOutput: four thousand, nine hundred and ninety-four\n\nInput: 3822\nOutput: three thousand, eight hundred and twenty-two\n\nInput: 766\nOutput: seven hundred and sixty-six\n\nInput: 3420\nOutput: three thousand, four hundred and twenty\n\nInput: 6497\nOutput: six thousand, four hundred and ninety-seven\n\nThe instruction was", "metadata": { "examples_seen": "Input: 4994\nOutput: four thousand, nine hundred and ninety-four\n\nInput: 3822\nOutput: three thousand, eight hundred and twenty-two\n\nInput: 766\nOutput: seven hundred and sixty-six\n\nInput: 3420\nOutput: three thousand, four hundred and twenty\n\nInput: 6497\nOutput: six thousand, four hundred and ninety-seven" } }, "70": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 2537\nOutput: two thousand, five hundred and thirty-seven\n\nInput: 9032\nOutput: nine thousand and thirty-two\n\nInput: 8401\nOutput: eight thousand, four hundred and one\n\nInput: 7702\nOutput: seven thousand, seven hundred and two\n\nInput: 1848\nOutput: one thousand, eight hundred and forty-eight\n\nThe instruction was", "metadata": { "examples_seen": "Input: 2537\nOutput: two thousand, five hundred and thirty-seven\n\nInput: 9032\nOutput: nine thousand and thirty-two\n\nInput: 8401\nOutput: eight thousand, four hundred and one\n\nInput: 7702\nOutput: seven thousand, seven hundred and two\n\nInput: 1848\nOutput: one thousand, eight hundred and forty-eight" } }, "71": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 9612\nOutput: nine thousand, six hundred and twelve\n\nInput: 7048\nOutput: seven thousand and forty-eight\n\nInput: 1417\nOutput: one thousand, four hundred and seventeen\n\nInput: 299\nOutput: two hundred and ninety-nine\n\nInput: 9454\nOutput: nine thousand, four hundred and fifty-four\n\nThe instruction was", "metadata": { "examples_seen": "Input: 9612\nOutput: nine thousand, six hundred and twelve\n\nInput: 7048\nOutput: seven thousand and forty-eight\n\nInput: 1417\nOutput: one thousand, four hundred and seventeen\n\nInput: 299\nOutput: two hundred and ninety-nine\n\nInput: 9454\nOutput: nine thousand, four hundred and fifty-four" } }, "72": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 2251\nOutput: two thousand, two hundred and fifty-one\n\nInput: 8755\nOutput: eight thousand, seven hundred and fifty-five\n\nInput: 6313\nOutput: six thousand, three hundred and thirteen\n\nInput: 9873\nOutput: nine thousand, eight hundred and seventy-three\n\nInput: 4804\nOutput: four thousand, eight hundred and four\n\nThe instruction was", "metadata": { "examples_seen": "Input: 2251\nOutput: two thousand, two hundred and fifty-one\n\nInput: 8755\nOutput: eight thousand, seven hundred and fifty-five\n\nInput: 6313\nOutput: six thousand, three hundred and thirteen\n\nInput: 9873\nOutput: nine thousand, eight hundred and seventy-three\n\nInput: 4804\nOutput: four thousand, eight hundred and four" } }, "73": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 4047\nOutput: four thousand and forty-seven\n\nInput: 8785\nOutput: eight thousand, seven hundred and eighty-five\n\nInput: 9572\nOutput: nine thousand, five hundred and seventy-two\n\nInput: 5334\nOutput: five thousand, three hundred and thirty-four\n\nInput: 6030\nOutput: six thousand and thirty\n\nThe instruction was", "metadata": { "examples_seen": "Input: 4047\nOutput: four thousand and forty-seven\n\nInput: 8785\nOutput: eight thousand, seven hundred and eighty-five\n\nInput: 9572\nOutput: nine thousand, five hundred and seventy-two\n\nInput: 5334\nOutput: five thousand, three hundred and thirty-four\n\nInput: 6030\nOutput: six thousand and thirty" } }, "74": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 7135\nOutput: seven thousand, one hundred and thirty-five\n\nInput: 7059\nOutput: seven thousand and fifty-nine\n\nInput: 91\nOutput: ninety-one\n\nInput: 8919\nOutput: eight thousand, nine hundred and nineteen\n\nInput: 7289\nOutput: seven thousand, two hundred and eighty-nine\n\nThe instruction was", "metadata": { "examples_seen": "Input: 7135\nOutput: seven thousand, one hundred and thirty-five\n\nInput: 7059\nOutput: seven thousand and fifty-nine\n\nInput: 91\nOutput: ninety-one\n\nInput: 8919\nOutput: eight thousand, nine hundred and nineteen\n\nInput: 7289\nOutput: seven thousand, two hundred and eighty-nine" } }, "75": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 2294\nOutput: two thousand, two hundred and ninety-four\n\nInput: 92\nOutput: ninety-two\n\nInput: 3585\nOutput: three thousand, five hundred and eighty-five\n\nInput: 6266\nOutput: six thousand, two hundred and sixty-six\n\nInput: 6452\nOutput: six thousand, four hundred and fifty-two\n\nThe instruction was", "metadata": { "examples_seen": "Input: 2294\nOutput: two thousand, two hundred and ninety-four\n\nInput: 92\nOutput: ninety-two\n\nInput: 3585\nOutput: three thousand, five hundred and eighty-five\n\nInput: 6266\nOutput: six thousand, two hundred and sixty-six\n\nInput: 6452\nOutput: six thousand, four hundred and fifty-two" } }, "76": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 321\nOutput: three hundred and twenty-one\n\nInput: 6397\nOutput: six thousand, three hundred and ninety-seven\n\nInput: 9040\nOutput: nine thousand and forty\n\nInput: 5656\nOutput: five thousand, six hundred and fifty-six\n\nInput: 9038\nOutput: nine thousand and thirty-eight\n\nThe instruction was", "metadata": { "examples_seen": "Input: 321\nOutput: three hundred and twenty-one\n\nInput: 6397\nOutput: six thousand, three hundred and ninety-seven\n\nInput: 9040\nOutput: nine thousand and forty\n\nInput: 5656\nOutput: five thousand, six hundred and fifty-six\n\nInput: 9038\nOutput: nine thousand and thirty-eight" } }, "77": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 3263\nOutput: three thousand, two hundred and sixty-three\n\nInput: 2549\nOutput: two thousand, five hundred and forty-nine\n\nInput: 6344\nOutput: six thousand, three hundred and forty-four\n\nInput: 318\nOutput: three hundred and eighteen\n\nInput: 6861\nOutput: six thousand, eight hundred and sixty-one\n\nThe instruction was", "metadata": { "examples_seen": "Input: 3263\nOutput: three thousand, two hundred and sixty-three\n\nInput: 2549\nOutput: two thousand, five hundred and forty-nine\n\nInput: 6344\nOutput: six thousand, three hundred and forty-four\n\nInput: 318\nOutput: three hundred and eighteen\n\nInput: 6861\nOutput: six thousand, eight hundred and sixty-one" } }, "78": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 3119\nOutput: three thousand, one hundred and nineteen\n\nInput: 3358\nOutput: three thousand, three hundred and fifty-eight\n\nInput: 9452\nOutput: nine thousand, four hundred and fifty-two\n\nInput: 6740\nOutput: six thousand, seven hundred and forty\n\nInput: 8728\nOutput: eight thousand, seven hundred and twenty-eight\n\nThe instruction was", "metadata": { "examples_seen": "Input: 3119\nOutput: three thousand, one hundred and nineteen\n\nInput: 3358\nOutput: three thousand, three hundred and fifty-eight\n\nInput: 9452\nOutput: nine thousand, four hundred and fifty-two\n\nInput: 6740\nOutput: six thousand, seven hundred and forty\n\nInput: 8728\nOutput: eight thousand, seven hundred and twenty-eight" } }, "79": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 2061\nOutput: two thousand and sixty-one\n\nInput: 8893\nOutput: eight thousand, eight hundred and ninety-three\n\nInput: 2249\nOutput: two thousand, two hundred and forty-nine\n\nInput: 7554\nOutput: seven thousand, five hundred and fifty-four\n\nInput: 4156\nOutput: four thousand, one hundred and fifty-six\n\nThe instruction was", "metadata": { "examples_seen": "Input: 2061\nOutput: two thousand and sixty-one\n\nInput: 8893\nOutput: eight thousand, eight hundred and ninety-three\n\nInput: 2249\nOutput: two thousand, two hundred and forty-nine\n\nInput: 7554\nOutput: seven thousand, five hundred and fifty-four\n\nInput: 4156\nOutput: four thousand, one hundred and fifty-six" } }, "80": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 7017\nOutput: seven thousand and seventeen\n\nInput: 5939\nOutput: five thousand, nine hundred and thirty-nine\n\nInput: 1852\nOutput: one thousand, eight hundred and fifty-two\n\nInput: 52\nOutput: fifty-two\n\nInput: 4140\nOutput: four thousand, one hundred and forty\n\nThe instruction was", "metadata": { "examples_seen": "Input: 7017\nOutput: seven thousand and seventeen\n\nInput: 5939\nOutput: five thousand, nine hundred and thirty-nine\n\nInput: 1852\nOutput: one thousand, eight hundred and fifty-two\n\nInput: 52\nOutput: fifty-two\n\nInput: 4140\nOutput: four thousand, one hundred and forty" } }, "81": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 5922\nOutput: five thousand, nine hundred and twenty-two\n\nInput: 1151\nOutput: one thousand, one hundred and fifty-one\n\nInput: 5896\nOutput: five thousand, eight hundred and ninety-six\n\nInput: 9761\nOutput: nine thousand, seven hundred and sixty-one\n\nInput: 7108\nOutput: seven thousand, one hundred and eight\n\nThe instruction was", "metadata": { "examples_seen": "Input: 5922\nOutput: five thousand, nine hundred and twenty-two\n\nInput: 1151\nOutput: one thousand, one hundred and fifty-one\n\nInput: 5896\nOutput: five thousand, eight hundred and ninety-six\n\nInput: 9761\nOutput: nine thousand, seven hundred and sixty-one\n\nInput: 7108\nOutput: seven thousand, one hundred and eight" } }, "82": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 9067\nOutput: nine thousand and sixty-seven\n\nInput: 5087\nOutput: five thousand and eighty-seven\n\nInput: 853\nOutput: eight hundred and fifty-three\n\nInput: 1277\nOutput: one thousand, two hundred and seventy-seven\n\nInput: 7520\nOutput: seven thousand, five hundred and twenty\n\nThe instruction was", "metadata": { "examples_seen": "Input: 9067\nOutput: nine thousand and sixty-seven\n\nInput: 5087\nOutput: five thousand and eighty-seven\n\nInput: 853\nOutput: eight hundred and fifty-three\n\nInput: 1277\nOutput: one thousand, two hundred and seventy-seven\n\nInput: 7520\nOutput: seven thousand, five hundred and twenty" } }, "83": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 2233\nOutput: two thousand, two hundred and thirty-three\n\nInput: 7758\nOutput: seven thousand, seven hundred and fifty-eight\n\nInput: 3003\nOutput: three thousand and three\n\nInput: 1017\nOutput: one thousand and seventeen\n\nInput: 8941\nOutput: eight thousand, nine hundred and forty-one\n\nThe instruction was", "metadata": { "examples_seen": "Input: 2233\nOutput: two thousand, two hundred and thirty-three\n\nInput: 7758\nOutput: seven thousand, seven hundred and fifty-eight\n\nInput: 3003\nOutput: three thousand and three\n\nInput: 1017\nOutput: one thousand and seventeen\n\nInput: 8941\nOutput: eight thousand, nine hundred and forty-one" } }, "84": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 5442\nOutput: five thousand, four hundred and forty-two\n\nInput: 3594\nOutput: three thousand, five hundred and ninety-four\n\nInput: 6768\nOutput: six thousand, seven hundred and sixty-eight\n\nInput: 3829\nOutput: three thousand, eight hundred and twenty-nine\n\nInput: 5077\nOutput: five thousand and seventy-seven\n\nThe instruction was", "metadata": { "examples_seen": "Input: 5442\nOutput: five thousand, four hundred and forty-two\n\nInput: 3594\nOutput: three thousand, five hundred and ninety-four\n\nInput: 6768\nOutput: six thousand, seven hundred and sixty-eight\n\nInput: 3829\nOutput: three thousand, eight hundred and twenty-nine\n\nInput: 5077\nOutput: five thousand and seventy-seven" } }, "85": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 3121\nOutput: three thousand, one hundred and twenty-one\n\nInput: 8446\nOutput: eight thousand, four hundred and forty-six\n\nInput: 7864\nOutput: seven thousand, eight hundred and sixty-four\n\nInput: 8873\nOutput: eight thousand, eight hundred and seventy-three\n\nInput: 8366\nOutput: eight thousand, three hundred and sixty-six\n\nThe instruction was", "metadata": { "examples_seen": "Input: 3121\nOutput: three thousand, one hundred and twenty-one\n\nInput: 8446\nOutput: eight thousand, four hundred and forty-six\n\nInput: 7864\nOutput: seven thousand, eight hundred and sixty-four\n\nInput: 8873\nOutput: eight thousand, eight hundred and seventy-three\n\nInput: 8366\nOutput: eight thousand, three hundred and sixty-six" } }, "86": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 3958\nOutput: three thousand, nine hundred and fifty-eight\n\nInput: 4839\nOutput: four thousand, eight hundred and thirty-nine\n\nInput: 7380\nOutput: seven thousand, three hundred and eighty\n\nInput: 8597\nOutput: eight thousand, five hundred and ninety-seven\n\nInput: 3419\nOutput: three thousand, four hundred and nineteen\n\nThe instruction was", "metadata": { "examples_seen": "Input: 3958\nOutput: three thousand, nine hundred and fifty-eight\n\nInput: 4839\nOutput: four thousand, eight hundred and thirty-nine\n\nInput: 7380\nOutput: seven thousand, three hundred and eighty\n\nInput: 8597\nOutput: eight thousand, five hundred and ninety-seven\n\nInput: 3419\nOutput: three thousand, four hundred and nineteen" } }, "87": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 540\nOutput: five hundred and forty\n\nInput: 5403\nOutput: five thousand, four hundred and three\n\nInput: 2764\nOutput: two thousand, seven hundred and sixty-four\n\nInput: 276\nOutput: two hundred and seventy-six\n\nInput: 6980\nOutput: six thousand, nine hundred and eighty\n\nThe instruction was", "metadata": { "examples_seen": "Input: 540\nOutput: five hundred and forty\n\nInput: 5403\nOutput: five thousand, four hundred and three\n\nInput: 2764\nOutput: two thousand, seven hundred and sixty-four\n\nInput: 276\nOutput: two hundred and seventy-six\n\nInput: 6980\nOutput: six thousand, nine hundred and eighty" } }, "88": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 7560\nOutput: seven thousand, five hundred and sixty\n\nInput: 2077\nOutput: two thousand and seventy-seven\n\nInput: 6988\nOutput: six thousand, nine hundred and eighty-eight\n\nInput: 4811\nOutput: four thousand, eight hundred and eleven\n\nInput: 2928\nOutput: two thousand, nine hundred and twenty-eight\n\nThe instruction was", "metadata": { "examples_seen": "Input: 7560\nOutput: seven thousand, five hundred and sixty\n\nInput: 2077\nOutput: two thousand and seventy-seven\n\nInput: 6988\nOutput: six thousand, nine hundred and eighty-eight\n\nInput: 4811\nOutput: four thousand, eight hundred and eleven\n\nInput: 2928\nOutput: two thousand, nine hundred and twenty-eight" } }, "89": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 4517\nOutput: four thousand, five hundred and seventeen\n\nInput: 8991\nOutput: eight thousand, nine hundred and ninety-one\n\nInput: 1356\nOutput: one thousand, three hundred and fifty-six\n\nInput: 8161\nOutput: eight thousand, one hundred and sixty-one\n\nInput: 7022\nOutput: seven thousand and twenty-two\n\nThe instruction was", "metadata": { "examples_seen": "Input: 4517\nOutput: four thousand, five hundred and seventeen\n\nInput: 8991\nOutput: eight thousand, nine hundred and ninety-one\n\nInput: 1356\nOutput: one thousand, three hundred and fifty-six\n\nInput: 8161\nOutput: eight thousand, one hundred and sixty-one\n\nInput: 7022\nOutput: seven thousand and twenty-two" } }, "90": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 4003\nOutput: four thousand and three\n\nInput: 9640\nOutput: nine thousand, six hundred and forty\n\nInput: 7115\nOutput: seven thousand, one hundred and fifteen\n\nInput: 1643\nOutput: one thousand, six hundred and forty-three\n\nInput: 6689\nOutput: six thousand, six hundred and eighty-nine\n\nThe instruction was", "metadata": { "examples_seen": "Input: 4003\nOutput: four thousand and three\n\nInput: 9640\nOutput: nine thousand, six hundred and forty\n\nInput: 7115\nOutput: seven thousand, one hundred and fifteen\n\nInput: 1643\nOutput: one thousand, six hundred and forty-three\n\nInput: 6689\nOutput: six thousand, six hundred and eighty-nine" } }, "91": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 7414\nOutput: seven thousand, four hundred and fourteen\n\nInput: 9072\nOutput: nine thousand and seventy-two\n\nInput: 1034\nOutput: one thousand and thirty-four\n\nInput: 1876\nOutput: one thousand, eight hundred and seventy-six\n\nInput: 863\nOutput: eight hundred and sixty-three\n\nThe instruction was", "metadata": { "examples_seen": "Input: 7414\nOutput: seven thousand, four hundred and fourteen\n\nInput: 9072\nOutput: nine thousand and seventy-two\n\nInput: 1034\nOutput: one thousand and thirty-four\n\nInput: 1876\nOutput: one thousand, eight hundred and seventy-six\n\nInput: 863\nOutput: eight hundred and sixty-three" } }, "92": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 9858\nOutput: nine thousand, eight hundred and fifty-eight\n\nInput: 8682\nOutput: eight thousand, six hundred and eighty-two\n\nInput: 3349\nOutput: three thousand, three hundred and forty-nine\n\nInput: 891\nOutput: eight hundred and ninety-one\n\nInput: 6352\nOutput: six thousand, three hundred and fifty-two\n\nThe instruction was", "metadata": { "examples_seen": "Input: 9858\nOutput: nine thousand, eight hundred and fifty-eight\n\nInput: 8682\nOutput: eight thousand, six hundred and eighty-two\n\nInput: 3349\nOutput: three thousand, three hundred and forty-nine\n\nInput: 891\nOutput: eight hundred and ninety-one\n\nInput: 6352\nOutput: six thousand, three hundred and fifty-two" } }, "93": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 4260\nOutput: four thousand, two hundred and sixty\n\nInput: 130\nOutput: one hundred and thirty\n\nInput: 1995\nOutput: one thousand, nine hundred and ninety-five\n\nInput: 9208\nOutput: nine thousand, two hundred and eight\n\nInput: 3923\nOutput: three thousand, nine hundred and twenty-three\n\nThe instruction was", "metadata": { "examples_seen": "Input: 4260\nOutput: four thousand, two hundred and sixty\n\nInput: 130\nOutput: one hundred and thirty\n\nInput: 1995\nOutput: one thousand, nine hundred and ninety-five\n\nInput: 9208\nOutput: nine thousand, two hundred and eight\n\nInput: 3923\nOutput: three thousand, nine hundred and twenty-three" } }, "94": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 5362\nOutput: five thousand, three hundred and sixty-two\n\nInput: 851\nOutput: eight hundred and fifty-one\n\nInput: 5893\nOutput: five thousand, eight hundred and ninety-three\n\nInput: 8884\nOutput: eight thousand, eight hundred and eighty-four\n\nInput: 1413\nOutput: one thousand, four hundred and thirteen\n\nThe instruction was", "metadata": { "examples_seen": "Input: 5362\nOutput: five thousand, three hundred and sixty-two\n\nInput: 851\nOutput: eight hundred and fifty-one\n\nInput: 5893\nOutput: five thousand, eight hundred and ninety-three\n\nInput: 8884\nOutput: eight thousand, eight hundred and eighty-four\n\nInput: 1413\nOutput: one thousand, four hundred and thirteen" } }, "95": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 3826\nOutput: three thousand, eight hundred and twenty-six\n\nInput: 7959\nOutput: seven thousand, nine hundred and fifty-nine\n\nInput: 6507\nOutput: six thousand, five hundred and seven\n\nInput: 8491\nOutput: eight thousand, four hundred and ninety-one\n\nInput: 1047\nOutput: one thousand and forty-seven\n\nThe instruction was", "metadata": { "examples_seen": "Input: 3826\nOutput: three thousand, eight hundred and twenty-six\n\nInput: 7959\nOutput: seven thousand, nine hundred and fifty-nine\n\nInput: 6507\nOutput: six thousand, five hundred and seven\n\nInput: 8491\nOutput: eight thousand, four hundred and ninety-one\n\nInput: 1047\nOutput: one thousand and forty-seven" } }, "96": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 3433\nOutput: three thousand, four hundred and thirty-three\n\nInput: 895\nOutput: eight hundred and ninety-five\n\nInput: 3605\nOutput: three thousand, six hundred and five\n\nInput: 2729\nOutput: two thousand, seven hundred and twenty-nine\n\nInput: 5376\nOutput: five thousand, three hundred and seventy-six\n\nThe instruction was", "metadata": { "examples_seen": "Input: 3433\nOutput: three thousand, four hundred and thirty-three\n\nInput: 895\nOutput: eight hundred and ninety-five\n\nInput: 3605\nOutput: three thousand, six hundred and five\n\nInput: 2729\nOutput: two thousand, seven hundred and twenty-nine\n\nInput: 5376\nOutput: five thousand, three hundred and seventy-six" } }, "97": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 9979\nOutput: nine thousand, nine hundred and seventy-nine\n\nInput: 1839\nOutput: one thousand, eight hundred and thirty-nine\n\nInput: 5720\nOutput: five thousand, seven hundred and twenty\n\nInput: 6314\nOutput: six thousand, three hundred and fourteen\n\nInput: 8587\nOutput: eight thousand, five hundred and eighty-seven\n\nThe instruction was", "metadata": { "examples_seen": "Input: 9979\nOutput: nine thousand, nine hundred and seventy-nine\n\nInput: 1839\nOutput: one thousand, eight hundred and thirty-nine\n\nInput: 5720\nOutput: five thousand, seven hundred and twenty\n\nInput: 6314\nOutput: six thousand, three hundred and fourteen\n\nInput: 8587\nOutput: eight thousand, five hundred and eighty-seven" } }, "98": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 6407\nOutput: six thousand, four hundred and seven\n\nInput: 7186\nOutput: seven thousand, one hundred and eighty-six\n\nInput: 4076\nOutput: four thousand and seventy-six\n\nInput: 5271\nOutput: five thousand, two hundred and seventy-one\n\nInput: 8403\nOutput: eight thousand, four hundred and three\n\nThe instruction was", "metadata": { "examples_seen": "Input: 6407\nOutput: six thousand, four hundred and seven\n\nInput: 7186\nOutput: seven thousand, one hundred and eighty-six\n\nInput: 4076\nOutput: four thousand and seventy-six\n\nInput: 5271\nOutput: five thousand, two hundred and seventy-one\n\nInput: 8403\nOutput: eight thousand, four hundred and three" } }, "99": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 2838\nOutput: two thousand, eight hundred and thirty-eight\n\nInput: 7339\nOutput: seven thousand, three hundred and thirty-nine\n\nInput: 5718\nOutput: five thousand, seven hundred and eighteen\n\nInput: 4198\nOutput: four thousand, one hundred and ninety-eight\n\nInput: 6913\nOutput: six thousand, nine hundred and thirteen\n\nThe instruction was", "metadata": { "examples_seen": "Input: 2838\nOutput: two thousand, eight hundred and thirty-eight\n\nInput: 7339\nOutput: seven thousand, three hundred and thirty-nine\n\nInput: 5718\nOutput: five thousand, seven hundred and eighteen\n\nInput: 4198\nOutput: four thousand, one hundred and ninety-eight\n\nInput: 6913\nOutput: six thousand, nine hundred and thirteen" } }, "100": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 9153\nOutput: nine thousand, one hundred and fifty-three\n\nInput: 9050\nOutput: nine thousand and fifty\n\nInput: 6134\nOutput: six thousand, one hundred and thirty-four\n\nInput: 1977\nOutput: one thousand, nine hundred and seventy-seven\n\nInput: 8279\nOutput: eight thousand, two hundred and seventy-nine\n\nThe instruction was", "metadata": { "examples_seen": "Input: 9153\nOutput: nine thousand, one hundred and fifty-three\n\nInput: 9050\nOutput: nine thousand and fifty\n\nInput: 6134\nOutput: six thousand, one hundred and thirty-four\n\nInput: 1977\nOutput: one thousand, nine hundred and seventy-seven\n\nInput: 8279\nOutput: eight thousand, two hundred and seventy-nine" } } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/induction_input/orthography_starts_with.json ================================================ { "examples": { "1": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Who did you say my talking to would bother? [d]\nOutput: did\n\nInput: All special rights of voting in the election were abolished. [w]\nOutput: were\n\nInput: He intended to will the large amount of money to Frank. [w]\nOutput: will\n\nInput: Chocolate cakes and pies are my favorite desserts. [m]\nOutput: my\n\nInput: Last year I saw this film several times. [s]\nOutput: saw several\n\nThe instruction was", "metadata": { "examples_seen": "Input: Who did you say my talking to would bother? [d]\nOutput: did\n\nInput: All special rights of voting in the election were abolished. [w]\nOutput: were\n\nInput: He intended to will the large amount of money to Frank. [w]\nOutput: will\n\nInput: Chocolate cakes and pies are my favorite desserts. [m]\nOutput: my\n\nInput: Last year I saw this film several times. [s]\nOutput: saw several" } }, "2": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The outcome depends on how many candidates participate in the election. [e]\nOutput: election\n\nInput: There were several doctors available. [a]\nOutput: available\n\nInput: Fred talked about everything before Rusty did. [e]\nOutput: everything\n\nInput: John made Mary cook Korean food. [m]\nOutput: made mary\n\nInput: I expect soon to see the results. [t]\nOutput: to the\n\nThe instruction was", "metadata": { "examples_seen": "Input: The outcome depends on how many candidates participate in the election. [e]\nOutput: election\n\nInput: There were several doctors available. [a]\nOutput: available\n\nInput: Fred talked about everything before Rusty did. [e]\nOutput: everything\n\nInput: John made Mary cook Korean food. [m]\nOutput: made mary\n\nInput: I expect soon to see the results. [t]\nOutput: to the" } }, "3": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The roof is leaking. [l]\nOutput: leaking\n\nInput: Do not use these words in the beginning of a sentence. [d]\nOutput: do\n\nInput: John knew every language that we encountered on our trip. [w]\nOutput: we\n\nInput: John rolled the ball from the tree to the bush. [b]\nOutput: ball bush\n\nInput: Why did you eat the cake? [d]\nOutput: did\n\nThe instruction was", "metadata": { "examples_seen": "Input: The roof is leaking. [l]\nOutput: leaking\n\nInput: Do not use these words in the beginning of a sentence. [d]\nOutput: do\n\nInput: John knew every language that we encountered on our trip. [w]\nOutput: we\n\nInput: John rolled the ball from the tree to the bush. [b]\nOutput: ball bush\n\nInput: Why did you eat the cake? [d]\nOutput: did" } }, "4": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: You may pick any flower, but leave a few for Mary. [p]\nOutput: pick\n\nInput: Ellen talked with Helen about the problem. [t]\nOutput: talked the\n\nInput: The very young child walked from school to the store. [v]\nOutput: very\n\nInput: He is not finishing. [h]\nOutput: he\n\nInput: Dana doubts that Drew believes I think Rosie loves magazine ads. [t]\nOutput: that think\n\nThe instruction was", "metadata": { "examples_seen": "Input: You may pick any flower, but leave a few for Mary. [p]\nOutput: pick\n\nInput: Ellen talked with Helen about the problem. [t]\nOutput: talked the\n\nInput: The very young child walked from school to the store. [v]\nOutput: very\n\nInput: He is not finishing. [h]\nOutput: he\n\nInput: Dana doubts that Drew believes I think Rosie loves magazine ads. [t]\nOutput: that think" } }, "5": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: It is not allowed to incriminate oneself. [i]\nOutput: it is incriminate\n\nInput: We wonder if Bill left. [b]\nOutput: bill\n\nInput: Frances has had the drapes cleaned. [f]\nOutput: frances\n\nInput: I am not certain about when he will come. [i]\nOutput: i\n\nInput: Whose car is blocking the entrance to the store? [c]\nOutput: car\n\nThe instruction was", "metadata": { "examples_seen": "Input: It is not allowed to incriminate oneself. [i]\nOutput: it is incriminate\n\nInput: We wonder if Bill left. [b]\nOutput: bill\n\nInput: Frances has had the drapes cleaned. [f]\nOutput: frances\n\nInput: I am not certain about when he will come. [i]\nOutput: i\n\nInput: Whose car is blocking the entrance to the store? [c]\nOutput: car" } }, "6": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I want all the students who have ever tried to pat Fido to show me their scars. [f]\nOutput: fido\n\nInput: The harder that it rains, how much faster a flow do you see in the river? [m]\nOutput: much\n\nInput: Whom did Bill leave. [l]\nOutput: leave\n\nInput: Kim may have admitted to let Mary mow the lawn. [h]\nOutput: have\n\nInput: The bear sniffs [b]\nOutput: bear\n\nThe instruction was", "metadata": { "examples_seen": "Input: I want all the students who have ever tried to pat Fido to show me their scars. [f]\nOutput: fido\n\nInput: The harder that it rains, how much faster a flow do you see in the river? [m]\nOutput: much\n\nInput: Whom did Bill leave. [l]\nOutput: leave\n\nInput: Kim may have admitted to let Mary mow the lawn. [h]\nOutput: have\n\nInput: The bear sniffs [b]\nOutput: bear" } }, "7": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Jean is reluctant to leave. [j]\nOutput: jean\n\nInput: Smith loaned, and his widow later donated, a valuable collection of manuscripts to the library. [v]\nOutput: valuable\n\nInput: I bought a book about Harry [a]\nOutput: a about\n\nInput: He always eats deep fried muffins. [d]\nOutput: deep\n\nInput: They paid a lot of attention to the matter. [a]\nOutput: a attention\n\nThe instruction was", "metadata": { "examples_seen": "Input: Jean is reluctant to leave. [j]\nOutput: jean\n\nInput: Smith loaned, and his widow later donated, a valuable collection of manuscripts to the library. [v]\nOutput: valuable\n\nInput: I bought a book about Harry [a]\nOutput: a about\n\nInput: He always eats deep fried muffins. [d]\nOutput: deep\n\nInput: They paid a lot of attention to the matter. [a]\nOutput: a attention" } }, "8": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The more articles he reads, the fewer people he thinks that under the current circumstances will go into linguistics. [m]\nOutput: more\n\nInput: For John to either make up such a story or repeat it is outrageous. [f]\nOutput: for\n\nInput: Bill left when it is certain that no one else was awake. [o]\nOutput: one\n\nInput: Fred gave flowers to his sweetie because Frank had. [s]\nOutput: sweetie\n\nInput: Ellen conferred with Helen. [w]\nOutput: with\n\nThe instruction was", "metadata": { "examples_seen": "Input: The more articles he reads, the fewer people he thinks that under the current circumstances will go into linguistics. [m]\nOutput: more\n\nInput: For John to either make up such a story or repeat it is outrageous. [f]\nOutput: for\n\nInput: Bill left when it is certain that no one else was awake. [o]\nOutput: one\n\nInput: Fred gave flowers to his sweetie because Frank had. [s]\nOutput: sweetie\n\nInput: Ellen conferred with Helen. [w]\nOutput: with" } }, "9": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Martha carves. [c]\nOutput: carves\n\nInput: Carla poured lemonade into the pitcher. [c]\nOutput: carla\n\nInput: There were five tourists in the room apart from myself. [i]\nOutput: in\n\nInput: I am angrier today that I was yesterday. [t]\nOutput: today that\n\nInput: Water filled the cup. [w]\nOutput: water\n\nThe instruction was", "metadata": { "examples_seen": "Input: Martha carves. [c]\nOutput: carves\n\nInput: Carla poured lemonade into the pitcher. [c]\nOutput: carla\n\nInput: There were five tourists in the room apart from myself. [i]\nOutput: in\n\nInput: I am angrier today that I was yesterday. [t]\nOutput: today that\n\nInput: Water filled the cup. [w]\nOutput: water" } }, "10": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Mary sang a song, but Lee did not. [s]\nOutput: sang song\n\nInput: Jeff must not have eaten the deep fried muffin. [n]\nOutput: not\n\nInput: She cooked Matt dinner. [m]\nOutput: matt\n\nInput: I said that Mary signed my yearbook. [s]\nOutput: said signed\n\nInput: I doubt you can help me in understanding this. [u]\nOutput: understanding\n\nThe instruction was", "metadata": { "examples_seen": "Input: Mary sang a song, but Lee did not. [s]\nOutput: sang song\n\nInput: Jeff must not have eaten the deep fried muffin. [n]\nOutput: not\n\nInput: She cooked Matt dinner. [m]\nOutput: matt\n\nInput: I said that Mary signed my yearbook. [s]\nOutput: said signed\n\nInput: I doubt you can help me in understanding this. [u]\nOutput: understanding" } }, "11": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I think he will eat asparagus. [i]\nOutput: i\n\nInput: I saw the physics student. [i]\nOutput: i\n\nInput: He treats John very nicely. [h]\nOutput: he\n\nInput: Jane imagines Bill claims John believes Mary thinks Tom is honest. [h]\nOutput: honest\n\nInput: Carmen bought a dress from Diana. [c]\nOutput: carmen\n\nThe instruction was", "metadata": { "examples_seen": "Input: I think he will eat asparagus. [i]\nOutput: i\n\nInput: I saw the physics student. [i]\nOutput: i\n\nInput: He treats John very nicely. [h]\nOutput: he\n\nInput: Jane imagines Bill claims John believes Mary thinks Tom is honest. [h]\nOutput: honest\n\nInput: Carmen bought a dress from Diana. [c]\nOutput: carmen" } }, "12": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: He worked his way through the book. [t]\nOutput: through the\n\nInput: I rolled up a newspaper, and Lynn did a magazine? [u]\nOutput: up\n\nInput: Why did you say that you were leaving? [t]\nOutput: that\n\nInput: It is easy to please John. [p]\nOutput: please\n\nInput: Poseidon had run away, because the executioner murdered Hera. [t]\nOutput: the\n\nThe instruction was", "metadata": { "examples_seen": "Input: He worked his way through the book. [t]\nOutput: through the\n\nInput: I rolled up a newspaper, and Lynn did a magazine? [u]\nOutput: up\n\nInput: Why did you say that you were leaving? [t]\nOutput: that\n\nInput: It is easy to please John. [p]\nOutput: please\n\nInput: Poseidon had run away, because the executioner murdered Hera. [t]\nOutput: the" } }, "13": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Lucy sent Jane a letter. [a]\nOutput: a\n\nInput: In the woods lives an old woman. [l]\nOutput: lives\n\nInput: A flowering plant is on the windowsill. [p]\nOutput: plant\n\nInput: Anne and Cathy met. [m]\nOutput: met\n\nInput: John believes that Bill saw him. [t]\nOutput: that\n\nThe instruction was", "metadata": { "examples_seen": "Input: Lucy sent Jane a letter. [a]\nOutput: a\n\nInput: In the woods lives an old woman. [l]\nOutput: lives\n\nInput: A flowering plant is on the windowsill. [p]\nOutput: plant\n\nInput: Anne and Cathy met. [m]\nOutput: met\n\nInput: John believes that Bill saw him. [t]\nOutput: that" } }, "14": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Through the hall echoed a loud cry. [e]\nOutput: echoed\n\nInput: Where did John put the books? [b]\nOutput: books\n\nInput: Sharon shivered at the thought of the cold sea. [a]\nOutput: at\n\nInput: John has a hole in the upper right hand corner of his quilt. [a]\nOutput: a\n\nInput: The scenes to which the censors took objection had to do with the mixed marriage of a woman and a giant panda. [w]\nOutput: which with woman\n\nThe instruction was", "metadata": { "examples_seen": "Input: Through the hall echoed a loud cry. [e]\nOutput: echoed\n\nInput: Where did John put the books? [b]\nOutput: books\n\nInput: Sharon shivered at the thought of the cold sea. [a]\nOutput: at\n\nInput: John has a hole in the upper right hand corner of his quilt. [a]\nOutput: a\n\nInput: The scenes to which the censors took objection had to do with the mixed marriage of a woman and a giant panda. [w]\nOutput: which with woman" } }, "15": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Fiona must not eat the sauteed candy canes. [t]\nOutput: the\n\nInput: They denied the claim that they should report only to us. [c]\nOutput: claim\n\nInput: He always eats deep fried muffins. [d]\nOutput: deep\n\nInput: The student was hoping for a good clue. [w]\nOutput: was\n\nInput: I will eat spaghetti on Sunday with Marco. [o]\nOutput: on\n\nThe instruction was", "metadata": { "examples_seen": "Input: Fiona must not eat the sauteed candy canes. [t]\nOutput: the\n\nInput: They denied the claim that they should report only to us. [c]\nOutput: claim\n\nInput: He always eats deep fried muffins. [d]\nOutput: deep\n\nInput: The student was hoping for a good clue. [w]\nOutput: was\n\nInput: I will eat spaghetti on Sunday with Marco. [o]\nOutput: on" } }, "16": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The door has a fresh coat of paint. [o]\nOutput: of\n\nInput: Tom placed it under the table. [i]\nOutput: it\n\nInput: Either Dana or Lee is going to lead the parade. [o]\nOutput: or\n\nInput: Jill kicked the ball from home plate to third base. [h]\nOutput: home\n\nInput: The dancing chorus line of elephants broke my television set. [b]\nOutput: broke\n\nThe instruction was", "metadata": { "examples_seen": "Input: The door has a fresh coat of paint. [o]\nOutput: of\n\nInput: Tom placed it under the table. [i]\nOutput: it\n\nInput: Either Dana or Lee is going to lead the parade. [o]\nOutput: or\n\nInput: Jill kicked the ball from home plate to third base. [h]\nOutput: home\n\nInput: The dancing chorus line of elephants broke my television set. [b]\nOutput: broke" } }, "17": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I owe my acquittal to you. [o]\nOutput: owe\n\nInput: With which club did you hit the winning putt? [w]\nOutput: with which winning\n\nInput: I bought a book about Harry [a]\nOutput: a about\n\nInput: On which bed does Tom sleep? [w]\nOutput: which\n\nInput: Maxwell is the man who won the Nobel Prize for astrology. [m]\nOutput: maxwell man\n\nThe instruction was", "metadata": { "examples_seen": "Input: I owe my acquittal to you. [o]\nOutput: owe\n\nInput: With which club did you hit the winning putt? [w]\nOutput: with which winning\n\nInput: I bought a book about Harry [a]\nOutput: a about\n\nInput: On which bed does Tom sleep? [w]\nOutput: which\n\nInput: Maxwell is the man who won the Nobel Prize for astrology. [m]\nOutput: maxwell man" } }, "18": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Pauline smiled her thanks. [s]\nOutput: smiled\n\nInput: all the students left. [l]\nOutput: left\n\nInput: The biggest man in the room said that John danced an Irish jig from County Kerry to County Tipperary on Thursday. [j]\nOutput: john jig\n\nInput: For him to eat asparagus is a travesty. [t]\nOutput: to travesty\n\nInput: Each of these stones has to be cut and polished. [h]\nOutput: has\n\nThe instruction was", "metadata": { "examples_seen": "Input: Pauline smiled her thanks. [s]\nOutput: smiled\n\nInput: all the students left. [l]\nOutput: left\n\nInput: The biggest man in the room said that John danced an Irish jig from County Kerry to County Tipperary on Thursday. [j]\nOutput: john jig\n\nInput: For him to eat asparagus is a travesty. [t]\nOutput: to travesty\n\nInput: Each of these stones has to be cut and polished. [h]\nOutput: has" } }, "19": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: He is believed by John to have been at the game. [g]\nOutput: game\n\nInput: They kicked themselves [t]\nOutput: they themselves\n\nInput: You is the only person that I can rely on. [o]\nOutput: only on\n\nInput: Jones would prefer for it to be clear to Barry that the city plans to sue him. [p]\nOutput: prefer plans\n\nInput: Which celebrity did he mention that he had run into? [c]\nOutput: celebrity\n\nThe instruction was", "metadata": { "examples_seen": "Input: He is believed by John to have been at the game. [g]\nOutput: game\n\nInput: They kicked themselves [t]\nOutput: they themselves\n\nInput: You is the only person that I can rely on. [o]\nOutput: only on\n\nInput: Jones would prefer for it to be clear to Barry that the city plans to sue him. [p]\nOutput: prefer plans\n\nInput: Which celebrity did he mention that he had run into? [c]\nOutput: celebrity" } }, "20": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: His expectations are lower, the higher the stakes. [s]\nOutput: stakes\n\nInput: The ball kicked a man. [b]\nOutput: ball\n\nInput: Know yourself! [y]\nOutput: yourself\n\nInput: Jones would prefer for it to be clear to Barry that the city plans to sue him. [p]\nOutput: prefer plans\n\nInput: Romeo conceded that he and Juliet were going steady. [a]\nOutput: and\n\nThe instruction was", "metadata": { "examples_seen": "Input: His expectations are lower, the higher the stakes. [s]\nOutput: stakes\n\nInput: The ball kicked a man. [b]\nOutput: ball\n\nInput: Know yourself! [y]\nOutput: yourself\n\nInput: Jones would prefer for it to be clear to Barry that the city plans to sue him. [p]\nOutput: prefer plans\n\nInput: Romeo conceded that he and Juliet were going steady. [a]\nOutput: and" } }, "21": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: That Patrick left is likely. [i]\nOutput: is\n\nInput: She asked a man who was near the window whether it looked like rain. [w]\nOutput: who was window whether\n\nInput: Harry will be in the Marines next year and Herman was drafted last night. [a]\nOutput: and\n\nInput: Ellen said to Helen that melons were selling well. [w]\nOutput: were well\n\nInput: We talked about the issues we had worked on as students and that our perspectives had changed over the years. [o]\nOutput: on our over\n\nThe instruction was", "metadata": { "examples_seen": "Input: That Patrick left is likely. [i]\nOutput: is\n\nInput: She asked a man who was near the window whether it looked like rain. [w]\nOutput: who was window whether\n\nInput: Harry will be in the Marines next year and Herman was drafted last night. [a]\nOutput: and\n\nInput: Ellen said to Helen that melons were selling well. [w]\nOutput: were well\n\nInput: We talked about the issues we had worked on as students and that our perspectives had changed over the years. [o]\nOutput: on our over" } }, "22": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Bill left when it is certain that no one else was awake. [o]\nOutput: one\n\nInput: A little boy ran in the yard. [b]\nOutput: boy\n\nInput: That the golden thread would show Jason his path through the labyrinth was [g]\nOutput: golden\n\nInput: The public never had faith in his ability to handle the job. [n]\nOutput: never\n\nInput: I will eat a mango, and Gillian will too. [m]\nOutput: mango\n\nThe instruction was", "metadata": { "examples_seen": "Input: Bill left when it is certain that no one else was awake. [o]\nOutput: one\n\nInput: A little boy ran in the yard. [b]\nOutput: boy\n\nInput: That the golden thread would show Jason his path through the labyrinth was [g]\nOutput: golden\n\nInput: The public never had faith in his ability to handle the job. [n]\nOutput: never\n\nInput: I will eat a mango, and Gillian will too. [m]\nOutput: mango" } }, "23": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I know I bought the book that you recommended. [b]\nOutput: bought book\n\nInput: Ron heard a discussion in the foyer [f]\nOutput: foyer\n\nInput: She spruced herself up before the job interview. [u]\nOutput: up\n\nInput: Fred gave flowers to his sweetie because Frank had. [s]\nOutput: sweetie\n\nInput: is taller than that man. [t]\nOutput: taller than that\n\nThe instruction was", "metadata": { "examples_seen": "Input: I know I bought the book that you recommended. [b]\nOutput: bought book\n\nInput: Ron heard a discussion in the foyer [f]\nOutput: foyer\n\nInput: She spruced herself up before the job interview. [u]\nOutput: up\n\nInput: Fred gave flowers to his sweetie because Frank had. [s]\nOutput: sweetie\n\nInput: is taller than that man. [t]\nOutput: taller than that" } }, "24": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: My eyes are itching from the smoke. [t]\nOutput: the\n\nInput: Why did you kill Pegasus? [p]\nOutput: pegasus\n\nInput: John wants to come up with a solution as good as Christine. [s]\nOutput: solution\n\nInput: What I believe that he was wearing is this hat. [t]\nOutput: that this\n\nInput: Amanda carried packages to New York. [a]\nOutput: amanda\n\nThe instruction was", "metadata": { "examples_seen": "Input: My eyes are itching from the smoke. [t]\nOutput: the\n\nInput: Why did you kill Pegasus? [p]\nOutput: pegasus\n\nInput: John wants to come up with a solution as good as Christine. [s]\nOutput: solution\n\nInput: What I believe that he was wearing is this hat. [t]\nOutput: that this\n\nInput: Amanda carried packages to New York. [a]\nOutput: amanda" } }, "25": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The luscious chick who Billy went to the movies with will wed me ere the morn. [l]\nOutput: luscious\n\nInput: The accident happened. [t]\nOutput: the\n\nInput: This girl in the red coat but no boys will put a picture of Bill on your desk before tomorrow. [w]\nOutput: will\n\nInput: The big man from NY has often said that he gave peanuts to elephants. [b]\nOutput: big\n\nInput: A choir sang in the church. [i]\nOutput: in\n\nThe instruction was", "metadata": { "examples_seen": "Input: The luscious chick who Billy went to the movies with will wed me ere the morn. [l]\nOutput: luscious\n\nInput: The accident happened. [t]\nOutput: the\n\nInput: This girl in the red coat but no boys will put a picture of Bill on your desk before tomorrow. [w]\nOutput: will\n\nInput: The big man from NY has often said that he gave peanuts to elephants. [b]\nOutput: big\n\nInput: A choir sang in the church. [i]\nOutput: in" } }, "26": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Fanny stopped talking because in came Aunt Norris. [s]\nOutput: stopped\n\nInput: John promised Mary that he would leave. [m]\nOutput: mary\n\nInput: Heather cabled for Sara to come. [c]\nOutput: cabled come\n\nInput: Jane imagines Bill claims John believes Mary thinks Tom is honest. [m]\nOutput: mary\n\nInput: The tiger bled to death. [t]\nOutput: the tiger to\n\nThe instruction was", "metadata": { "examples_seen": "Input: Fanny stopped talking because in came Aunt Norris. [s]\nOutput: stopped\n\nInput: John promised Mary that he would leave. [m]\nOutput: mary\n\nInput: Heather cabled for Sara to come. [c]\nOutput: cabled come\n\nInput: Jane imagines Bill claims John believes Mary thinks Tom is honest. [m]\nOutput: mary\n\nInput: The tiger bled to death. [t]\nOutput: the tiger to" } }, "27": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: A boy did not laugh. [b]\nOutput: boy\n\nInput: Everyone hopes to sleep. [t]\nOutput: to\n\nInput: He rowed Penny across the lake. [a]\nOutput: across\n\nInput: Benjamin gave the cloak and sent the book to Lee [b]\nOutput: benjamin book\n\nInput: Mary will soon play the violin. [p]\nOutput: play\n\nThe instruction was", "metadata": { "examples_seen": "Input: A boy did not laugh. [b]\nOutput: boy\n\nInput: Everyone hopes to sleep. [t]\nOutput: to\n\nInput: He rowed Penny across the lake. [a]\nOutput: across\n\nInput: Benjamin gave the cloak and sent the book to Lee [b]\nOutput: benjamin book\n\nInput: Mary will soon play the violin. [p]\nOutput: play" } }, "28": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Lora buttered the toast with unsalted butter. [t]\nOutput: the toast\n\nInput: Being honest is not an easy task. [t]\nOutput: task\n\nInput: Pat is a Republican and proud of it. [o]\nOutput: of\n\nInput: Would you mind taking out the garbage? [y]\nOutput: you\n\nInput: Brian wiped the fingerprints from outside the cupboard. [o]\nOutput: outside\n\nThe instruction was", "metadata": { "examples_seen": "Input: Lora buttered the toast with unsalted butter. [t]\nOutput: the toast\n\nInput: Being honest is not an easy task. [t]\nOutput: task\n\nInput: Pat is a Republican and proud of it. [o]\nOutput: of\n\nInput: Would you mind taking out the garbage? [y]\nOutput: you\n\nInput: Brian wiped the fingerprints from outside the cupboard. [o]\nOutput: outside" } }, "29": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Jewels sparkled on the crown. [t]\nOutput: the\n\nInput: Brandon has been reading more novels than he has short stories. [t]\nOutput: than\n\nInput: I must eat macaroni. [i]\nOutput: i\n\nInput: John is in the room. [r]\nOutput: room\n\nInput: Sue moved, and Mary also transferred, her business to a different location. [h]\nOutput: her\n\nThe instruction was", "metadata": { "examples_seen": "Input: Jewels sparkled on the crown. [t]\nOutput: the\n\nInput: Brandon has been reading more novels than he has short stories. [t]\nOutput: than\n\nInput: I must eat macaroni. [i]\nOutput: i\n\nInput: John is in the room. [r]\nOutput: room\n\nInput: Sue moved, and Mary also transferred, her business to a different location. [h]\nOutput: her" } }, "30": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: John gave Mary, and Joan presented to Fred, books which looked. [f]\nOutput: fred\n\nInput: Bill is drying a lot of clothes on the line. [o]\nOutput: of on\n\nInput: She was sent a review copy of the book by the publisher. [s]\nOutput: she sent\n\nInput: I consider there to be a man in that garden. [g]\nOutput: garden\n\nInput: When Lydia went to Brighton, she eloped with Wickham. [l]\nOutput: lydia\n\nThe instruction was", "metadata": { "examples_seen": "Input: John gave Mary, and Joan presented to Fred, books which looked. [f]\nOutput: fred\n\nInput: Bill is drying a lot of clothes on the line. [o]\nOutput: of on\n\nInput: She was sent a review copy of the book by the publisher. [s]\nOutput: she sent\n\nInput: I consider there to be a man in that garden. [g]\nOutput: garden\n\nInput: When Lydia went to Brighton, she eloped with Wickham. [l]\nOutput: lydia" } }, "31": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I had eaten the deep fried muffins. [m]\nOutput: muffins\n\nInput: Bob proved this set is recursive. [p]\nOutput: proved\n\nInput: Jean is likely to dance. [i]\nOutput: is\n\nInput: She thought it was likely that everyone might fit into the car. [m]\nOutput: might\n\nInput: Henri wants the book which is on the top shelf. [w]\nOutput: wants which\n\nThe instruction was", "metadata": { "examples_seen": "Input: I had eaten the deep fried muffins. [m]\nOutput: muffins\n\nInput: Bob proved this set is recursive. [p]\nOutput: proved\n\nInput: Jean is likely to dance. [i]\nOutput: is\n\nInput: She thought it was likely that everyone might fit into the car. [m]\nOutput: might\n\nInput: Henri wants the book which is on the top shelf. [w]\nOutput: wants which" } }, "32": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Jackie chased the thief down the street. [s]\nOutput: street\n\nInput: My family always summers at the seashore. [f]\nOutput: family\n\nInput: John mentioned the issue to me. [t]\nOutput: the to\n\nInput: I know several people who she kissed. [i]\nOutput: i\n\nInput: You would have a reply if you come back tomorrow. [h]\nOutput: have\n\nThe instruction was", "metadata": { "examples_seen": "Input: Jackie chased the thief down the street. [s]\nOutput: street\n\nInput: My family always summers at the seashore. [f]\nOutput: family\n\nInput: John mentioned the issue to me. [t]\nOutput: the to\n\nInput: I know several people who she kissed. [i]\nOutput: i\n\nInput: You would have a reply if you come back tomorrow. [h]\nOutput: have" } }, "33": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: John, to who and to whose friends that letter was addressed, is a fool. [f]\nOutput: friends fool\n\nInput: No photo of Max and sketch by his students appeared in the magazine. [n]\nOutput: no\n\nInput: The teacher set us a problem the answer to which we can find in the textbook. [c]\nOutput: can\n\nInput: The fans were deliberately provoked by a rival group. [p]\nOutput: provoked\n\nInput: What John did to the wall was paint it. [p]\nOutput: paint\n\nThe instruction was", "metadata": { "examples_seen": "Input: John, to who and to whose friends that letter was addressed, is a fool. [f]\nOutput: friends fool\n\nInput: No photo of Max and sketch by his students appeared in the magazine. [n]\nOutput: no\n\nInput: The teacher set us a problem the answer to which we can find in the textbook. [c]\nOutput: can\n\nInput: The fans were deliberately provoked by a rival group. [p]\nOutput: provoked\n\nInput: What John did to the wall was paint it. [p]\nOutput: paint" } }, "34": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Herman mixed the eggs and the cream. [h]\nOutput: herman\n\nInput: Pauline smiled her thanks. [s]\nOutput: smiled\n\nInput: Never have I stolen from any members of your family. [h]\nOutput: have\n\nInput: He is John. [h]\nOutput: he\n\nInput: I cycled around France. [f]\nOutput: france\n\nThe instruction was", "metadata": { "examples_seen": "Input: Herman mixed the eggs and the cream. [h]\nOutput: herman\n\nInput: Pauline smiled her thanks. [s]\nOutput: smiled\n\nInput: Never have I stolen from any members of your family. [h]\nOutput: have\n\nInput: He is John. [h]\nOutput: he\n\nInput: I cycled around France. [f]\nOutput: france" } }, "35": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: They returned the books all to their owners. [t]\nOutput: they the to their\n\nInput: I knew the man with the brown hair. [h]\nOutput: hair\n\nInput: Mrs Bennet having taken the others upstairs, Mr Bingley proposed to. [u]\nOutput: upstairs\n\nInput: The roof is leaking. [l]\nOutput: leaking\n\nInput: The angrier that Sue gets, the more that Fred admires her. [g]\nOutput: gets\n\nThe instruction was", "metadata": { "examples_seen": "Input: They returned the books all to their owners. [t]\nOutput: they the to their\n\nInput: I knew the man with the brown hair. [h]\nOutput: hair\n\nInput: Mrs Bennet having taken the others upstairs, Mr Bingley proposed to. [u]\nOutput: upstairs\n\nInput: The roof is leaking. [l]\nOutput: leaking\n\nInput: The angrier that Sue gets, the more that Fred admires her. [g]\nOutput: gets" } }, "36": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Gilgamesh wanted to seduce Ishtar, and seduce Ishtar he did . [g]\nOutput: gilgamesh\n\nInput: Truman punched Johnson [j]\nOutput: johnson\n\nInput: The scenes to which the censors took objection had to do with the mixed marriage of a woman and a giant panda. [w]\nOutput: which with woman\n\nInput: John persuaded Stephen to be more careful. [m]\nOutput: more\n\nInput: Susan found every book she had been looking for at Borders. [f]\nOutput: found for\n\nThe instruction was", "metadata": { "examples_seen": "Input: Gilgamesh wanted to seduce Ishtar, and seduce Ishtar he did . [g]\nOutput: gilgamesh\n\nInput: Truman punched Johnson [j]\nOutput: johnson\n\nInput: The scenes to which the censors took objection had to do with the mixed marriage of a woman and a giant panda. [w]\nOutput: which with woman\n\nInput: John persuaded Stephen to be more careful. [m]\nOutput: more\n\nInput: Susan found every book she had been looking for at Borders. [f]\nOutput: found for" } }, "37": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I know I bought the book that you recommended. [k]\nOutput: know\n\nInput: Any senator seems to become more corrupt, as he talks to more lobbyists. [b]\nOutput: become\n\nInput: No one wanted any cake. [c]\nOutput: cake\n\nInput: Susan has a cold. [c]\nOutput: cold\n\nInput: I like the book that you gave me. [y]\nOutput: you\n\nThe instruction was", "metadata": { "examples_seen": "Input: I know I bought the book that you recommended. [k]\nOutput: know\n\nInput: Any senator seems to become more corrupt, as he talks to more lobbyists. [b]\nOutput: become\n\nInput: No one wanted any cake. [c]\nOutput: cake\n\nInput: Susan has a cold. [c]\nOutput: cold\n\nInput: I like the book that you gave me. [y]\nOutput: you" } }, "38": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: What Henri wants is the book which is on the top shelf. [s]\nOutput: shelf\n\nInput: Jessica loaded boxes into the wagon. [j]\nOutput: jessica\n\nInput: Reagan, whom the Republicans nominated in , lived most of his life in California. [c]\nOutput: california\n\nInput: John tagged the monkey in the forest. [f]\nOutput: forest\n\nInput: Carol cut at the bread. [b]\nOutput: bread\n\nThe instruction was", "metadata": { "examples_seen": "Input: What Henri wants is the book which is on the top shelf. [s]\nOutput: shelf\n\nInput: Jessica loaded boxes into the wagon. [j]\nOutput: jessica\n\nInput: Reagan, whom the Republicans nominated in , lived most of his life in California. [c]\nOutput: california\n\nInput: John tagged the monkey in the forest. [f]\nOutput: forest\n\nInput: Carol cut at the bread. [b]\nOutput: bread" } }, "39": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I got phoned by a woman friend. [f]\nOutput: friend\n\nInput: He attributed to a short circuit the fire which. [a]\nOutput: attributed a\n\nInput: The exhibition really impressed the critics. [i]\nOutput: impressed\n\nInput: We asked him not to try to call us again. [n]\nOutput: not\n\nInput: Which girl did he give my binoculars to? [h]\nOutput: he\n\nThe instruction was", "metadata": { "examples_seen": "Input: I got phoned by a woman friend. [f]\nOutput: friend\n\nInput: He attributed to a short circuit the fire which. [a]\nOutput: attributed a\n\nInput: The exhibition really impressed the critics. [i]\nOutput: impressed\n\nInput: We asked him not to try to call us again. [n]\nOutput: not\n\nInput: Which girl did he give my binoculars to? [h]\nOutput: he" } }, "40": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The pictures of Bill, she put on your desk. [p]\nOutput: pictures put\n\nInput: It was not until I was perhaps twenty five or thirty that I read and enjoyed them. [p]\nOutput: perhaps\n\nInput: Amanda carried packages to New York. [a]\nOutput: amanda\n\nInput: Fred will warn Martha that she should claim that her brother is patriotic. [c]\nOutput: claim\n\nInput: You or Kerry have perjured yourselves. [k]\nOutput: kerry\n\nThe instruction was", "metadata": { "examples_seen": "Input: The pictures of Bill, she put on your desk. [p]\nOutput: pictures put\n\nInput: It was not until I was perhaps twenty five or thirty that I read and enjoyed them. [p]\nOutput: perhaps\n\nInput: Amanda carried packages to New York. [a]\nOutput: amanda\n\nInput: Fred will warn Martha that she should claim that her brother is patriotic. [c]\nOutput: claim\n\nInput: You or Kerry have perjured yourselves. [k]\nOutput: kerry" } }, "41": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: To delay the march and to go ahead with it have been argued by different people at different times. [h]\nOutput: have\n\nInput: The bright green filing cabinet was filled to the brim with the most boring articles from a prestigious journal of linguistics with a moderately large readership. [m]\nOutput: most moderately\n\nInput: After the executioner left, Poseidon wept. [t]\nOutput: the\n\nInput: They lent a bicycle to me. [m]\nOutput: me\n\nInput: I stalked the woods for game. [w]\nOutput: woods\n\nThe instruction was", "metadata": { "examples_seen": "Input: To delay the march and to go ahead with it have been argued by different people at different times. [h]\nOutput: have\n\nInput: The bright green filing cabinet was filled to the brim with the most boring articles from a prestigious journal of linguistics with a moderately large readership. [m]\nOutput: most moderately\n\nInput: After the executioner left, Poseidon wept. [t]\nOutput: the\n\nInput: They lent a bicycle to me. [m]\nOutput: me\n\nInput: I stalked the woods for game. [w]\nOutput: woods" } }, "42": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I sent Louis a book. [s]\nOutput: sent\n\nInput: Smith loaned, and his widow later donated, a valuable collection of manuscripts to the library. [t]\nOutput: to the\n\nInput: How do you think that Mary solved the problem? [y]\nOutput: you\n\nInput: I would prefer that he not have finished. [i]\nOutput: i\n\nInput: Fred gave flowers to his sweetie because Frank had. [s]\nOutput: sweetie\n\nThe instruction was", "metadata": { "examples_seen": "Input: I sent Louis a book. [s]\nOutput: sent\n\nInput: Smith loaned, and his widow later donated, a valuable collection of manuscripts to the library. [t]\nOutput: to the\n\nInput: How do you think that Mary solved the problem? [y]\nOutput: you\n\nInput: I would prefer that he not have finished. [i]\nOutput: i\n\nInput: Fred gave flowers to his sweetie because Frank had. [s]\nOutput: sweetie" } }, "43": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Anne and Cathy met. [m]\nOutput: met\n\nInput: Would the horse budge if you pushed? [y]\nOutput: you\n\nInput: Each man lifted a table. [e]\nOutput: each\n\nInput: John scratched his arm and the boy who knew Mary scratched her arm. [j]\nOutput: john\n\nInput: I asked what John kissed. [w]\nOutput: what\n\nThe instruction was", "metadata": { "examples_seen": "Input: Anne and Cathy met. [m]\nOutput: met\n\nInput: Would the horse budge if you pushed? [y]\nOutput: you\n\nInput: Each man lifted a table. [e]\nOutput: each\n\nInput: John scratched his arm and the boy who knew Mary scratched her arm. [j]\nOutput: john\n\nInput: I asked what John kissed. [w]\nOutput: what" } }, "44": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Every student who wins any trophy displays it in a prominent place. [a]\nOutput: any a\n\nInput: I am anxious for you to arrive on time. [t]\nOutput: to time\n\nInput: Smith threw the first baseman the ball. [f]\nOutput: first\n\nInput: Frank hopes to persuade Harry to make the cook wash the dishes. [d]\nOutput: dishes\n\nInput: Ellen complained about the situation to Helen. [e]\nOutput: ellen\n\nThe instruction was", "metadata": { "examples_seen": "Input: Every student who wins any trophy displays it in a prominent place. [a]\nOutput: any a\n\nInput: I am anxious for you to arrive on time. [t]\nOutput: to time\n\nInput: Smith threw the first baseman the ball. [f]\nOutput: first\n\nInput: Frank hopes to persuade Harry to make the cook wash the dishes. [d]\nOutput: dishes\n\nInput: Ellen complained about the situation to Helen. [e]\nOutput: ellen" } }, "45": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The toilet leaked through the floor into the kitchen below. [b]\nOutput: below\n\nInput: Their teaching material is what we are using. [m]\nOutput: material\n\nInput: The streets gushed with water. [t]\nOutput: the\n\nInput: Which club did you hit the winning putt with? [p]\nOutput: putt\n\nInput: A cat jumped onto the table. [a]\nOutput: a\n\nThe instruction was", "metadata": { "examples_seen": "Input: The toilet leaked through the floor into the kitchen below. [b]\nOutput: below\n\nInput: Their teaching material is what we are using. [m]\nOutput: material\n\nInput: The streets gushed with water. [t]\nOutput: the\n\nInput: Which club did you hit the winning putt with? [p]\nOutput: putt\n\nInput: A cat jumped onto the table. [a]\nOutput: a" } }, "46": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: He let the cats out which were whining. [h]\nOutput: he\n\nInput: The couple waltzed to the window. [c]\nOutput: couple\n\nInput: John gave the CDs to the boys. [c]\nOutput: cds\n\nInput: That anybody ever left at all is not known. [t]\nOutput: that\n\nInput: Margaret cut at the bread. [c]\nOutput: cut\n\nThe instruction was", "metadata": { "examples_seen": "Input: He let the cats out which were whining. [h]\nOutput: he\n\nInput: The couple waltzed to the window. [c]\nOutput: couple\n\nInput: John gave the CDs to the boys. [c]\nOutput: cds\n\nInput: That anybody ever left at all is not known. [t]\nOutput: that\n\nInput: Margaret cut at the bread. [c]\nOutput: cut" } }, "47": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: In the woods lives an old woman. [l]\nOutput: lives\n\nInput: The man who I gave John a picture of was bald. [w]\nOutput: who was\n\nInput: I know a man who Bill saw and Mary liked. [b]\nOutput: bill\n\nInput: Perhaps Iphigenia will have murdered Oedipus by tomorrow. [b]\nOutput: by\n\nInput: My nephew could write letters to his parents with a fountain pen with your help. [a]\nOutput: a\n\nThe instruction was", "metadata": { "examples_seen": "Input: In the woods lives an old woman. [l]\nOutput: lives\n\nInput: The man who I gave John a picture of was bald. [w]\nOutput: who was\n\nInput: I know a man who Bill saw and Mary liked. [b]\nOutput: bill\n\nInput: Perhaps Iphigenia will have murdered Oedipus by tomorrow. [b]\nOutput: by\n\nInput: My nephew could write letters to his parents with a fountain pen with your help. [a]\nOutput: a" } }, "48": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The testing of such drugs on oneself is too risky. [d]\nOutput: drugs\n\nInput: Clyde got a passionate love letter from Stacy. [s]\nOutput: stacy\n\nInput: We Americans and the British pamper ourselves. [b]\nOutput: british\n\nInput: The little boy hit the child with a toy. [l]\nOutput: little\n\nInput: Rarely is any lion majestic. [a]\nOutput: any\n\nThe instruction was", "metadata": { "examples_seen": "Input: The testing of such drugs on oneself is too risky. [d]\nOutput: drugs\n\nInput: Clyde got a passionate love letter from Stacy. [s]\nOutput: stacy\n\nInput: We Americans and the British pamper ourselves. [b]\nOutput: british\n\nInput: The little boy hit the child with a toy. [l]\nOutput: little\n\nInput: Rarely is any lion majestic. [a]\nOutput: any" } }, "49": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I am delighted at the idea they might demolish the Appleton Tower. [d]\nOutput: delighted demolish\n\nInput: That we invaded Iraq really freaks me out. [t]\nOutput: that\n\nInput: Nathan showed Benjamin himself in the mirror. [n]\nOutput: nathan\n\nInput: Whose car is blocking the entrance to the store? [s]\nOutput: store\n\nInput: I did not have a red cent. [d]\nOutput: did\n\nThe instruction was", "metadata": { "examples_seen": "Input: I am delighted at the idea they might demolish the Appleton Tower. [d]\nOutput: delighted demolish\n\nInput: That we invaded Iraq really freaks me out. [t]\nOutput: that\n\nInput: Nathan showed Benjamin himself in the mirror. [n]\nOutput: nathan\n\nInput: Whose car is blocking the entrance to the store? [s]\nOutput: store\n\nInput: I did not have a red cent. [d]\nOutput: did" } }, "50": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: What John did to the wall was hit it. [h]\nOutput: hit\n\nInput: That Bill tried to discover which drawer Alice put the money in made us realize that we should have left him in Seoul. [w]\nOutput: which we\n\nInput: This information could have been released by Gorbachev, but he chose not to. [b]\nOutput: been by but\n\nInput: Susan begged Bill to let her sing in the concert. [t]\nOutput: to the\n\nInput: I ate a mango and Gillian did too. [i]\nOutput: i\n\nThe instruction was", "metadata": { "examples_seen": "Input: What John did to the wall was hit it. [h]\nOutput: hit\n\nInput: That Bill tried to discover which drawer Alice put the money in made us realize that we should have left him in Seoul. [w]\nOutput: which we\n\nInput: This information could have been released by Gorbachev, but he chose not to. [b]\nOutput: been by but\n\nInput: Susan begged Bill to let her sing in the concert. [t]\nOutput: to the\n\nInput: I ate a mango and Gillian did too. [i]\nOutput: i" } }, "51": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Either Professor Swansong or the graduate students are going to proctor the exam. [o]\nOutput: or\n\nInput: John believes that Bill has slept. [j]\nOutput: john\n\nInput: They melted, broke the ice. [t]\nOutput: they the\n\nInput: John promised Bill to leave. [l]\nOutput: leave\n\nInput: This boy must not go to school, and his father must not go to school either. [a]\nOutput: and\n\nThe instruction was", "metadata": { "examples_seen": "Input: Either Professor Swansong or the graduate students are going to proctor the exam. [o]\nOutput: or\n\nInput: John believes that Bill has slept. [j]\nOutput: john\n\nInput: They melted, broke the ice. [t]\nOutput: they the\n\nInput: John promised Bill to leave. [l]\nOutput: leave\n\nInput: This boy must not go to school, and his father must not go to school either. [a]\nOutput: and" } }, "52": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Peter said that Danny danced. [t]\nOutput: that\n\nInput: John whined that he was hungry. [h]\nOutput: he hungry\n\nInput: These stories about himself worry John more than anything else. [h]\nOutput: himself\n\nInput: What Mary offered to him is unclear. [i]\nOutput: is\n\nInput: He gave that girl my binoculars. [h]\nOutput: he\n\nThe instruction was", "metadata": { "examples_seen": "Input: Peter said that Danny danced. [t]\nOutput: that\n\nInput: John whined that he was hungry. [h]\nOutput: he hungry\n\nInput: These stories about himself worry John more than anything else. [h]\nOutput: himself\n\nInput: What Mary offered to him is unclear. [i]\nOutput: is\n\nInput: He gave that girl my binoculars. [h]\nOutput: he" } }, "53": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: What did he reply? [h]\nOutput: he\n\nInput: Sonatas are difficult to play on this violin. [s]\nOutput: sonatas\n\nInput: Amanda drove the package from Boston to New York. [b]\nOutput: boston\n\nInput: The latest research on dieting always warns people about the dangers of too much cholesterol. [o]\nOutput: on of\n\nInput: The vase stood on the table in the hall. [h]\nOutput: hall\n\nThe instruction was", "metadata": { "examples_seen": "Input: What did he reply? [h]\nOutput: he\n\nInput: Sonatas are difficult to play on this violin. [s]\nOutput: sonatas\n\nInput: Amanda drove the package from Boston to New York. [b]\nOutput: boston\n\nInput: The latest research on dieting always warns people about the dangers of too much cholesterol. [o]\nOutput: on of\n\nInput: The vase stood on the table in the hall. [h]\nOutput: hall" } }, "54": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Smith inscribed his name over the door. [s]\nOutput: smith\n\nInput: The day when Jim got fired was a sad day for everyone. [s]\nOutput: sad\n\nInput: Mary left the room angry. [a]\nOutput: angry\n\nInput: Kim jogs on the hill. [h]\nOutput: hill\n\nInput: John will study syntax, and Mary, too. [a]\nOutput: and\n\nThe instruction was", "metadata": { "examples_seen": "Input: Smith inscribed his name over the door. [s]\nOutput: smith\n\nInput: The day when Jim got fired was a sad day for everyone. [s]\nOutput: sad\n\nInput: Mary left the room angry. [a]\nOutput: angry\n\nInput: Kim jogs on the hill. [h]\nOutput: hill\n\nInput: John will study syntax, and Mary, too. [a]\nOutput: and" } }, "55": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Fifty pounds seem like a lot of weight to lose in one year. [i]\nOutput: in\n\nInput: His analysis of her was flawed [h]\nOutput: his her\n\nInput: I think that he eats asparagus. [i]\nOutput: i\n\nInput: My car was stolen. [m]\nOutput: my\n\nInput: What Medea attempted was to poison her children. [p]\nOutput: poison\n\nThe instruction was", "metadata": { "examples_seen": "Input: Fifty pounds seem like a lot of weight to lose in one year. [i]\nOutput: in\n\nInput: His analysis of her was flawed [h]\nOutput: his her\n\nInput: I think that he eats asparagus. [i]\nOutput: i\n\nInput: My car was stolen. [m]\nOutput: my\n\nInput: What Medea attempted was to poison her children. [p]\nOutput: poison" } }, "56": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Who asked which statue which tourist had taken a photo of? [a]\nOutput: asked a\n\nInput: John deposited some money in the bank on Friday. [f]\nOutput: friday\n\nInput: John tagged Lewis with a regulation baseball on Tuesday. [r]\nOutput: regulation\n\nInput: John made Mary cook Korean food. [m]\nOutput: made mary\n\nInput: I know you like the back of my hand. [i]\nOutput: i\n\nThe instruction was", "metadata": { "examples_seen": "Input: Who asked which statue which tourist had taken a photo of? [a]\nOutput: asked a\n\nInput: John deposited some money in the bank on Friday. [f]\nOutput: friday\n\nInput: John tagged Lewis with a regulation baseball on Tuesday. [r]\nOutput: regulation\n\nInput: John made Mary cook Korean food. [m]\nOutput: made mary\n\nInput: I know you like the back of my hand. [i]\nOutput: i" } }, "57": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The very young child walked from school to the store. [v]\nOutput: very\n\nInput: I have wanted to know exactly what happened to Rosa Luxemburg for many years. [l]\nOutput: luxemburg\n\nInput: The money which I will make a proposal for us to squander amounts to , . [a]\nOutput: a amounts\n\nInput: Whether to win is a question Mary never considered. [m]\nOutput: mary\n\nInput: Bob proved that this set is recursive. [s]\nOutput: set\n\nThe instruction was", "metadata": { "examples_seen": "Input: The very young child walked from school to the store. [v]\nOutput: very\n\nInput: I have wanted to know exactly what happened to Rosa Luxemburg for many years. [l]\nOutput: luxemburg\n\nInput: The money which I will make a proposal for us to squander amounts to , . [a]\nOutput: a amounts\n\nInput: Whether to win is a question Mary never considered. [m]\nOutput: mary\n\nInput: Bob proved that this set is recursive. [s]\nOutput: set" } }, "58": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: It is easy to please John. [p]\nOutput: please\n\nInput: John believes himself to be proud of Mary. [o]\nOutput: of\n\nInput: The piano Frank bought for Jane. [f]\nOutput: frank for\n\nInput: His expectations are lower, the higher the stakes. [s]\nOutput: stakes\n\nInput: The sign warned us against skating on the pond. [a]\nOutput: against\n\nThe instruction was", "metadata": { "examples_seen": "Input: It is easy to please John. [p]\nOutput: please\n\nInput: John believes himself to be proud of Mary. [o]\nOutput: of\n\nInput: The piano Frank bought for Jane. [f]\nOutput: frank for\n\nInput: His expectations are lower, the higher the stakes. [s]\nOutput: stakes\n\nInput: The sign warned us against skating on the pond. [a]\nOutput: against" } }, "59": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: John is easy to please and to love. [i]\nOutput: is\n\nInput: Chris liked which pictures of himself? [p]\nOutput: pictures\n\nInput: I dried the clothes in the sun. [d]\nOutput: dried\n\nInput: Pat is likely to be examined by the dentist. [i]\nOutput: is\n\nInput: He mended the shoe. [m]\nOutput: mended\n\nThe instruction was", "metadata": { "examples_seen": "Input: John is easy to please and to love. [i]\nOutput: is\n\nInput: Chris liked which pictures of himself? [p]\nOutput: pictures\n\nInput: I dried the clothes in the sun. [d]\nOutput: dried\n\nInput: Pat is likely to be examined by the dentist. [i]\nOutput: is\n\nInput: He mended the shoe. [m]\nOutput: mended" } }, "60": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Students enter high level educational institutions might face many problems relating to study habits. [r]\nOutput: relating\n\nInput: A cat jumped onto the table. [a]\nOutput: a\n\nInput: George wrote a volume of poems in Latin for Jane. [i]\nOutput: in\n\nInput: They were believed all to be quite diligent. [a]\nOutput: all\n\nInput: It was the director that I think she said she wants to meet. [d]\nOutput: director\n\nThe instruction was", "metadata": { "examples_seen": "Input: Students enter high level educational institutions might face many problems relating to study habits. [r]\nOutput: relating\n\nInput: A cat jumped onto the table. [a]\nOutput: a\n\nInput: George wrote a volume of poems in Latin for Jane. [i]\nOutput: in\n\nInput: They were believed all to be quite diligent. [a]\nOutput: all\n\nInput: It was the director that I think she said she wants to meet. [d]\nOutput: director" } }, "61": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: John talked to any woman who came up to him. [w]\nOutput: woman who\n\nInput: Lorenzo saw the eclipse. [l]\nOutput: lorenzo\n\nInput: The farmer loaded apples into the cart. [i]\nOutput: into\n\nInput: Philippa cried her eyes dry. [p]\nOutput: philippa\n\nInput: That that it would confuse the guards for Herschel to throw a fit was obvious is not true. [o]\nOutput: obvious\n\nThe instruction was", "metadata": { "examples_seen": "Input: John talked to any woman who came up to him. [w]\nOutput: woman who\n\nInput: Lorenzo saw the eclipse. [l]\nOutput: lorenzo\n\nInput: The farmer loaded apples into the cart. [i]\nOutput: into\n\nInput: Philippa cried her eyes dry. [p]\nOutput: philippa\n\nInput: That that it would confuse the guards for Herschel to throw a fit was obvious is not true. [o]\nOutput: obvious" } }, "62": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: John is more embarrassed, the more pictures of himself that appear in the news. [a]\nOutput: appear\n\nInput: Anybody who ever swears at me better watch his step. [s]\nOutput: swears step\n\nInput: Susan ate yesterday at the restaurant. [y]\nOutput: yesterday\n\nInput: Ellen complained about the situation. [t]\nOutput: the\n\nInput: Bill confirmed that Roger has eaten the cake. [h]\nOutput: has\n\nThe instruction was", "metadata": { "examples_seen": "Input: John is more embarrassed, the more pictures of himself that appear in the news. [a]\nOutput: appear\n\nInput: Anybody who ever swears at me better watch his step. [s]\nOutput: swears step\n\nInput: Susan ate yesterday at the restaurant. [y]\nOutput: yesterday\n\nInput: Ellen complained about the situation. [t]\nOutput: the\n\nInput: Bill confirmed that Roger has eaten the cake. [h]\nOutput: has" } }, "63": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: My brother likes collecting jazz records. [l]\nOutput: likes\n\nInput: Will George indeed not endorse the treaty? [g]\nOutput: george\n\nInput: I think that you will see that the girl will put a picture on your desk. [p]\nOutput: put picture\n\nInput: Lee will not leave. [n]\nOutput: not\n\nInput: John is no more reliable a fellow than Bill. [i]\nOutput: is\n\nThe instruction was", "metadata": { "examples_seen": "Input: My brother likes collecting jazz records. [l]\nOutput: likes\n\nInput: Will George indeed not endorse the treaty? [g]\nOutput: george\n\nInput: I think that you will see that the girl will put a picture on your desk. [p]\nOutput: put picture\n\nInput: Lee will not leave. [n]\nOutput: not\n\nInput: John is no more reliable a fellow than Bill. [i]\nOutput: is" } }, "64": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: It was to the student that the teacher gave the best advice. [a]\nOutput: advice\n\nInput: John learned French perfectly almost immediately. [l]\nOutput: learned\n\nInput: John scratched his arm and the boy who Mary knew did so too. [t]\nOutput: the too\n\nInput: John came from Seoul. [s]\nOutput: seoul\n\nInput: Whose car is blocking the entrance to the store? [s]\nOutput: store\n\nThe instruction was", "metadata": { "examples_seen": "Input: It was to the student that the teacher gave the best advice. [a]\nOutput: advice\n\nInput: John learned French perfectly almost immediately. [l]\nOutput: learned\n\nInput: John scratched his arm and the boy who Mary knew did so too. [t]\nOutput: the too\n\nInput: John came from Seoul. [s]\nOutput: seoul\n\nInput: Whose car is blocking the entrance to the store? [s]\nOutput: store" } }, "65": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Jennie smiled. [j]\nOutput: jennie\n\nInput: She held him by the arm. [b]\nOutput: by\n\nInput: Jasper wonders which book he should attempt to persuade his students to buy. [a]\nOutput: attempt\n\nInput: I handed the ball to Reg. [t]\nOutput: the to\n\nInput: He always eats deep fried muffins. [f]\nOutput: fried\n\nThe instruction was", "metadata": { "examples_seen": "Input: Jennie smiled. [j]\nOutput: jennie\n\nInput: She held him by the arm. [b]\nOutput: by\n\nInput: Jasper wonders which book he should attempt to persuade his students to buy. [a]\nOutput: attempt\n\nInput: I handed the ball to Reg. [t]\nOutput: the to\n\nInput: He always eats deep fried muffins. [f]\nOutput: fried" } }, "66": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I believed that Otto was wearing this hat. [t]\nOutput: that this\n\nInput: Dana is longing for a sunny day. [f]\nOutput: for\n\nInput: I often send Mary home drunk, and she gets there just fine. [g]\nOutput: gets\n\nInput: Paula swatted Deirdre on the back. [d]\nOutput: deirdre\n\nInput: I have wanted to meet the man who spent so much money planning the assassination of Kennedy for many years. [w]\nOutput: wanted who\n\nThe instruction was", "metadata": { "examples_seen": "Input: I believed that Otto was wearing this hat. [t]\nOutput: that this\n\nInput: Dana is longing for a sunny day. [f]\nOutput: for\n\nInput: I often send Mary home drunk, and she gets there just fine. [g]\nOutput: gets\n\nInput: Paula swatted Deirdre on the back. [d]\nOutput: deirdre\n\nInput: I have wanted to meet the man who spent so much money planning the assassination of Kennedy for many years. [w]\nOutput: wanted who" } }, "67": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: John laughed. [j]\nOutput: john\n\nInput: Briana showed Justin himself. [j]\nOutput: justin\n\nInput: That he ever went there alone is odd. [a]\nOutput: alone\n\nInput: Which goddess did help us? [g]\nOutput: goddess\n\nInput: Jack eats caviar more than he sleeps. [c]\nOutput: caviar\n\nThe instruction was", "metadata": { "examples_seen": "Input: John laughed. [j]\nOutput: john\n\nInput: Briana showed Justin himself. [j]\nOutput: justin\n\nInput: That he ever went there alone is odd. [a]\nOutput: alone\n\nInput: Which goddess did help us? [g]\nOutput: goddess\n\nInput: Jack eats caviar more than he sleeps. [c]\nOutput: caviar" } }, "68": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: John got the book from Bill. [b]\nOutput: book bill\n\nInput: Teresa bottle fed soy milk to the baby. [t]\nOutput: teresa to the\n\nInput: Everyone reported that Max and some lady disappeared. [s]\nOutput: some\n\nInput: Jennie smiled. [j]\nOutput: jennie\n\nInput: Mary is such a wit that people are afraid of her. [p]\nOutput: people\n\nThe instruction was", "metadata": { "examples_seen": "Input: John got the book from Bill. [b]\nOutput: book bill\n\nInput: Teresa bottle fed soy milk to the baby. [t]\nOutput: teresa to the\n\nInput: Everyone reported that Max and some lady disappeared. [s]\nOutput: some\n\nInput: Jennie smiled. [j]\nOutput: jennie\n\nInput: Mary is such a wit that people are afraid of her. [p]\nOutput: people" } }, "69": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I think John likes his beer. [j]\nOutput: john\n\nInput: the book of poems with a red cover and with a blue spine takes a very long time to read. [c]\nOutput: cover\n\nInput: It is not true that it was obvious that it would confuse the guards for Herschel to throw a fit. [a]\nOutput: a\n\nInput: For him to win the race would surprise them. [f]\nOutput: for\n\nInput: Jeff must not have eaten the deep fried muffin. [f]\nOutput: fried\n\nThe instruction was", "metadata": { "examples_seen": "Input: I think John likes his beer. [j]\nOutput: john\n\nInput: the book of poems with a red cover and with a blue spine takes a very long time to read. [c]\nOutput: cover\n\nInput: It is not true that it was obvious that it would confuse the guards for Herschel to throw a fit. [a]\nOutput: a\n\nInput: For him to win the race would surprise them. [f]\nOutput: for\n\nInput: Jeff must not have eaten the deep fried muffin. [f]\nOutput: fried" } }, "70": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: He told her the whole story. [t]\nOutput: told the\n\nInput: Mercedes gave a test to the students in the lecture hall. [a]\nOutput: a\n\nInput: The brave are not afraid to die. [b]\nOutput: brave\n\nInput: Fred tracked the leak to its source. [f]\nOutput: fred\n\nInput: Alison poked the needle through the denim. [d]\nOutput: denim\n\nThe instruction was", "metadata": { "examples_seen": "Input: He told her the whole story. [t]\nOutput: told the\n\nInput: Mercedes gave a test to the students in the lecture hall. [a]\nOutput: a\n\nInput: The brave are not afraid to die. [b]\nOutput: brave\n\nInput: Fred tracked the leak to its source. [f]\nOutput: fred\n\nInput: Alison poked the needle through the denim. [d]\nOutput: denim" } }, "71": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Everyone hopes to sleep. [t]\nOutput: to\n\nInput: In the book, he talks about his ups and downs at school. [b]\nOutput: book\n\nInput: Every man who said he would buy some salmon did. [b]\nOutput: buy\n\nInput: The accident happened. [t]\nOutput: the\n\nInput: Who did you think Mary saw? [w]\nOutput: who\n\nThe instruction was", "metadata": { "examples_seen": "Input: Everyone hopes to sleep. [t]\nOutput: to\n\nInput: In the book, he talks about his ups and downs at school. [b]\nOutput: book\n\nInput: Every man who said he would buy some salmon did. [b]\nOutput: buy\n\nInput: The accident happened. [t]\nOutput: the\n\nInput: Who did you think Mary saw? [w]\nOutput: who" } }, "72": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I owe my acquittal to you. [a]\nOutput: acquittal\n\nInput: They lent me a bicycle. [m]\nOutput: me\n\nInput: John tagged Lewis with a regulation baseball on Tuesday. [l]\nOutput: lewis\n\nInput: Many of the people were dying of thirst. [m]\nOutput: many\n\nInput: If you give him enough opportunity, every senator will succumb to corruption. [t]\nOutput: to\n\nThe instruction was", "metadata": { "examples_seen": "Input: I owe my acquittal to you. [a]\nOutput: acquittal\n\nInput: They lent me a bicycle. [m]\nOutput: me\n\nInput: John tagged Lewis with a regulation baseball on Tuesday. [l]\nOutput: lewis\n\nInput: Many of the people were dying of thirst. [m]\nOutput: many\n\nInput: If you give him enough opportunity, every senator will succumb to corruption. [t]\nOutput: to" } }, "73": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Several people are sick. [s]\nOutput: several sick\n\nInput: There lived a man with his grandson. [t]\nOutput: there\n\nInput: I am drinking lemonade and eating a brownie. [l]\nOutput: lemonade\n\nInput: The streets gushed with water. [t]\nOutput: the\n\nInput: Mary received an award from the department. [f]\nOutput: from\n\nThe instruction was", "metadata": { "examples_seen": "Input: Several people are sick. [s]\nOutput: several sick\n\nInput: There lived a man with his grandson. [t]\nOutput: there\n\nInput: I am drinking lemonade and eating a brownie. [l]\nOutput: lemonade\n\nInput: The streets gushed with water. [t]\nOutput: the\n\nInput: Mary received an award from the department. [f]\nOutput: from" } }, "74": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I borrowed and my sister stole large sums of money from the bank. [l]\nOutput: large\n\nInput: John will have enthusiastically been eating cake. [j]\nOutput: john\n\nInput: Mary saw the tall man come from the back. [s]\nOutput: saw\n\nInput: Jim will go if he feels good. [w]\nOutput: will\n\nInput: Mary will complete her exam within an hour. [a]\nOutput: an\n\nThe instruction was", "metadata": { "examples_seen": "Input: I borrowed and my sister stole large sums of money from the bank. [l]\nOutput: large\n\nInput: John will have enthusiastically been eating cake. [j]\nOutput: john\n\nInput: Mary saw the tall man come from the back. [s]\nOutput: saw\n\nInput: Jim will go if he feels good. [w]\nOutput: will\n\nInput: Mary will complete her exam within an hour. [a]\nOutput: an" } }, "75": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I gave the charity. [t]\nOutput: the\n\nInput: This is the friend for whose mother Kim gave a party. [m]\nOutput: mother\n\nInput: Exactly half of the students attended some seminar. [t]\nOutput: the\n\nInput: John deposited some money in the checking account on Friday and Mary did the same thing on Monday. [s]\nOutput: some same\n\nInput: What did he reply? [h]\nOutput: he\n\nThe instruction was", "metadata": { "examples_seen": "Input: I gave the charity. [t]\nOutput: the\n\nInput: This is the friend for whose mother Kim gave a party. [m]\nOutput: mother\n\nInput: Exactly half of the students attended some seminar. [t]\nOutput: the\n\nInput: John deposited some money in the checking account on Friday and Mary did the same thing on Monday. [s]\nOutput: some same\n\nInput: What did he reply? [h]\nOutput: he" } }, "76": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Smith inscribed his name over the door. [d]\nOutput: door\n\nInput: What does John think Mary bought? [b]\nOutput: bought\n\nInput: Who has drunk the poison? [t]\nOutput: the\n\nInput: Michelle became an architect. [b]\nOutput: became\n\nInput: She spruced herself up before the job interview. [u]\nOutput: up\n\nThe instruction was", "metadata": { "examples_seen": "Input: Smith inscribed his name over the door. [d]\nOutput: door\n\nInput: What does John think Mary bought? [b]\nOutput: bought\n\nInput: Who has drunk the poison? [t]\nOutput: the\n\nInput: Michelle became an architect. [b]\nOutput: became\n\nInput: She spruced herself up before the job interview. [u]\nOutput: up" } }, "77": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I succeeded in convincing, even though John had failed to persuade, Mary not to leave. [n]\nOutput: not\n\nInput: It was John on whom the sheriff placed the blame. [i]\nOutput: it\n\nInput: Calvin has eaten a peanut. [c]\nOutput: calvin\n\nInput: These stories about himself worry John more than anything else. [a]\nOutput: about anything\n\nInput: Calvin had eaten. [c]\nOutput: calvin\n\nThe instruction was", "metadata": { "examples_seen": "Input: I succeeded in convincing, even though John had failed to persuade, Mary not to leave. [n]\nOutput: not\n\nInput: It was John on whom the sheriff placed the blame. [i]\nOutput: it\n\nInput: Calvin has eaten a peanut. [c]\nOutput: calvin\n\nInput: These stories about himself worry John more than anything else. [a]\nOutput: about anything\n\nInput: Calvin had eaten. [c]\nOutput: calvin" } }, "78": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sue moved, and Mary also transferred, her business to a different location. [t]\nOutput: transferred to\n\nInput: I would dance with Mary or Sue. [o]\nOutput: or\n\nInput: Dracula thought that he was the Prince of Darkness. [t]\nOutput: thought that the\n\nInput: June covered the baby with a blanket. [j]\nOutput: june\n\nInput: John hummed, and Mary sang, at equal volumes. [s]\nOutput: sang\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sue moved, and Mary also transferred, her business to a different location. [t]\nOutput: transferred to\n\nInput: I would dance with Mary or Sue. [o]\nOutput: or\n\nInput: Dracula thought that he was the Prince of Darkness. [t]\nOutput: thought that the\n\nInput: June covered the baby with a blanket. [j]\nOutput: june\n\nInput: John hummed, and Mary sang, at equal volumes. [s]\nOutput: sang" } }, "79": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The employees staffed the store. [e]\nOutput: employees\n\nInput: which city the claim that Philip would invade. [p]\nOutput: philip\n\nInput: Sally eats caviar more than I had expected. [e]\nOutput: eats expected\n\nInput: Gregory appears to have wanted to be loyal to the company. [a]\nOutput: appears\n\nInput: Only Churchill remembered giving the Blood, Sweat and Tears speech. [g]\nOutput: giving\n\nThe instruction was", "metadata": { "examples_seen": "Input: The employees staffed the store. [e]\nOutput: employees\n\nInput: which city the claim that Philip would invade. [p]\nOutput: philip\n\nInput: Sally eats caviar more than I had expected. [e]\nOutput: eats expected\n\nInput: Gregory appears to have wanted to be loyal to the company. [a]\nOutput: appears\n\nInput: Only Churchill remembered giving the Blood, Sweat and Tears speech. [g]\nOutput: giving" } }, "80": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The butler polished the silver. [p]\nOutput: polished\n\nInput: The curtain which Fred tore in rolling up was the kind gift of my maternal Aunt Priscilla. [a]\nOutput: aunt\n\nInput: The cottage which Mrs Dashwood accepted was rather small. [d]\nOutput: dashwood\n\nInput: I know you like the back of my hand. [i]\nOutput: i\n\nInput: For John to either make up such a story or repeat it is outrageous. [f]\nOutput: for\n\nThe instruction was", "metadata": { "examples_seen": "Input: The butler polished the silver. [p]\nOutput: polished\n\nInput: The curtain which Fred tore in rolling up was the kind gift of my maternal Aunt Priscilla. [a]\nOutput: aunt\n\nInput: The cottage which Mrs Dashwood accepted was rather small. [d]\nOutput: dashwood\n\nInput: I know you like the back of my hand. [i]\nOutput: i\n\nInput: For John to either make up such a story or repeat it is outrageous. [f]\nOutput: for" } }, "81": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: John promised Bill to leave tomorrow morning. [l]\nOutput: leave\n\nInput: What did he reply? [h]\nOutput: he\n\nInput: Who do you think it is that Mary met? [d]\nOutput: do\n\nInput: His expectations are lower, the higher the stakes. [a]\nOutput: are\n\nInput: Nora sent the book to Peter. [b]\nOutput: book\n\nThe instruction was", "metadata": { "examples_seen": "Input: John promised Bill to leave tomorrow morning. [l]\nOutput: leave\n\nInput: What did he reply? [h]\nOutput: he\n\nInput: Who do you think it is that Mary met? [d]\nOutput: do\n\nInput: His expectations are lower, the higher the stakes. [a]\nOutput: are\n\nInput: Nora sent the book to Peter. [b]\nOutput: book" } }, "82": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I am anxious for you to arrive on time. [t]\nOutput: to time\n\nInput: Confiscate any liquor. [c]\nOutput: confiscate\n\nInput: We peered around the room. [a]\nOutput: around\n\nInput: Why did you kill Pegasus? [k]\nOutput: kill\n\nInput: Susan found every book she had been looking for at Borders. [l]\nOutput: looking\n\nThe instruction was", "metadata": { "examples_seen": "Input: I am anxious for you to arrive on time. [t]\nOutput: to time\n\nInput: Confiscate any liquor. [c]\nOutput: confiscate\n\nInput: We peered around the room. [a]\nOutput: around\n\nInput: Why did you kill Pegasus? [k]\nOutput: kill\n\nInput: Susan found every book she had been looking for at Borders. [l]\nOutput: looking" } }, "83": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Confiscate any liquor. [c]\nOutput: confiscate\n\nInput: He is John. [h]\nOutput: he\n\nInput: Bob does not think that there is anyone from Greece in his basement. [i]\nOutput: is in\n\nInput: The more obnoxious Fred is, the less attention you should pay to him. [h]\nOutput: him\n\nInput: Sally eats caviar too much for her own good. [c]\nOutput: caviar\n\nThe instruction was", "metadata": { "examples_seen": "Input: Confiscate any liquor. [c]\nOutput: confiscate\n\nInput: He is John. [h]\nOutput: he\n\nInput: Bob does not think that there is anyone from Greece in his basement. [i]\nOutput: is in\n\nInput: The more obnoxious Fred is, the less attention you should pay to him. [h]\nOutput: him\n\nInput: Sally eats caviar too much for her own good. [c]\nOutput: caviar" } }, "84": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sandy tried to eat oysters. [o]\nOutput: oysters\n\nInput: This hat it is certain that he was wearing. [c]\nOutput: certain\n\nInput: Car sales have surprised the stockbrokers. [c]\nOutput: car\n\nInput: What John did to the wall was hit it. [h]\nOutput: hit\n\nInput: These books disappoint me. [d]\nOutput: disappoint\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sandy tried to eat oysters. [o]\nOutput: oysters\n\nInput: This hat it is certain that he was wearing. [c]\nOutput: certain\n\nInput: Car sales have surprised the stockbrokers. [c]\nOutput: car\n\nInput: What John did to the wall was hit it. [h]\nOutput: hit\n\nInput: These books disappoint me. [d]\nOutput: disappoint" } }, "85": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Because they hated him, the druids forced Jason to live in a cupboard [f]\nOutput: forced\n\nInput: Fluffy is sick, which nobody knows. [w]\nOutput: which\n\nInput: In English, the main verb agrees with the head element of the subject. [i]\nOutput: in\n\nInput: Jim will go if he feels good. [i]\nOutput: if\n\nInput: Cynthia gobbled the pizza . [t]\nOutput: the\n\nThe instruction was", "metadata": { "examples_seen": "Input: Because they hated him, the druids forced Jason to live in a cupboard [f]\nOutput: forced\n\nInput: Fluffy is sick, which nobody knows. [w]\nOutput: which\n\nInput: In English, the main verb agrees with the head element of the subject. [i]\nOutput: in\n\nInput: Jim will go if he feels good. [i]\nOutput: if\n\nInput: Cynthia gobbled the pizza . [t]\nOutput: the" } }, "86": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Martha carved a piece of wood for the baby. [w]\nOutput: wood\n\nInput: Sue said something although she was the most likely not to say anything. [s]\nOutput: sue said something she say\n\nInput: Tom will force you to marry no student, and neither will I. [f]\nOutput: force\n\nInput: Jim was chopping logs when Margaret left and was still at it when she got back. [b]\nOutput: back\n\nInput: Linda winked. [w]\nOutput: winked\n\nThe instruction was", "metadata": { "examples_seen": "Input: Martha carved a piece of wood for the baby. [w]\nOutput: wood\n\nInput: Sue said something although she was the most likely not to say anything. [s]\nOutput: sue said something she say\n\nInput: Tom will force you to marry no student, and neither will I. [f]\nOutput: force\n\nInput: Jim was chopping logs when Margaret left and was still at it when she got back. [b]\nOutput: back\n\nInput: Linda winked. [w]\nOutput: winked" } }, "87": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: There arrived a tall, red haired and incredibly well dressed man. [h]\nOutput: haired\n\nInput: It was to Boston that they decided to take the patient. [b]\nOutput: boston\n\nInput: Lucy sent Jane a letter. [a]\nOutput: a\n\nInput: I consider him immoral. [c]\nOutput: consider\n\nInput: That Patrick left is likely. [i]\nOutput: is\n\nThe instruction was", "metadata": { "examples_seen": "Input: There arrived a tall, red haired and incredibly well dressed man. [h]\nOutput: haired\n\nInput: It was to Boston that they decided to take the patient. [b]\nOutput: boston\n\nInput: Lucy sent Jane a letter. [a]\nOutput: a\n\nInput: I consider him immoral. [c]\nOutput: consider\n\nInput: That Patrick left is likely. [i]\nOutput: is" } }, "88": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: It would be inconvenience for you to leave so soon. [i]\nOutput: it inconvenience\n\nInput: Who do you think Mary said John likes? [m]\nOutput: mary\n\nInput: John tries to be easy to get along with. [b]\nOutput: be\n\nInput: John scratched his arm and the boy who knew Mary scratched her arm. [j]\nOutput: john\n\nInput: Their teaching material is what we are using. [m]\nOutput: material\n\nThe instruction was", "metadata": { "examples_seen": "Input: It would be inconvenience for you to leave so soon. [i]\nOutput: it inconvenience\n\nInput: Who do you think Mary said John likes? [m]\nOutput: mary\n\nInput: John tries to be easy to get along with. [b]\nOutput: be\n\nInput: John scratched his arm and the boy who knew Mary scratched her arm. [j]\nOutput: john\n\nInput: Their teaching material is what we are using. [m]\nOutput: material" } }, "89": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The constant reading of Shakespeare satisfied me [r]\nOutput: reading\n\nInput: We contributed our paycheck to her. [h]\nOutput: her\n\nInput: I believe John with all my heart to be a fine person. [m]\nOutput: my\n\nInput: Kim may have admitted to let Mary mow the lawn. [h]\nOutput: have\n\nInput: John will have been eating cake enthusiastically. [b]\nOutput: been\n\nThe instruction was", "metadata": { "examples_seen": "Input: The constant reading of Shakespeare satisfied me [r]\nOutput: reading\n\nInput: We contributed our paycheck to her. [h]\nOutput: her\n\nInput: I believe John with all my heart to be a fine person. [m]\nOutput: my\n\nInput: Kim may have admitted to let Mary mow the lawn. [h]\nOutput: have\n\nInput: John will have been eating cake enthusiastically. [b]\nOutput: been" } }, "90": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Calvin had eaten. [c]\nOutput: calvin\n\nInput: To whom did you throw the ball? [t]\nOutput: to throw the\n\nInput: For me to concentrate on calculus is difficult. [m]\nOutput: me\n\nInput: Where do we go to register for graduation? [f]\nOutput: for\n\nInput: Rosemary tried to get a new car. [r]\nOutput: rosemary\n\nThe instruction was", "metadata": { "examples_seen": "Input: Calvin had eaten. [c]\nOutput: calvin\n\nInput: To whom did you throw the ball? [t]\nOutput: to throw the\n\nInput: For me to concentrate on calculus is difficult. [m]\nOutput: me\n\nInput: Where do we go to register for graduation? [f]\nOutput: for\n\nInput: Rosemary tried to get a new car. [r]\nOutput: rosemary" } }, "91": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The dumplings which Sasha is gobbling down faster than I can reheat them are extremely tasty, if I do say so. [r]\nOutput: reheat\n\nInput: Heather cabled Sara about the situation. [t]\nOutput: the\n\nInput: She will put a picture of Bill on your desk before tomorrow. [w]\nOutput: will\n\nInput: Who knew Mickey would overthrow home plate by that much? [w]\nOutput: who would\n\nInput: I think John likes his beer. [j]\nOutput: john\n\nThe instruction was", "metadata": { "examples_seen": "Input: The dumplings which Sasha is gobbling down faster than I can reheat them are extremely tasty, if I do say so. [r]\nOutput: reheat\n\nInput: Heather cabled Sara about the situation. [t]\nOutput: the\n\nInput: She will put a picture of Bill on your desk before tomorrow. [w]\nOutput: will\n\nInput: Who knew Mickey would overthrow home plate by that much? [w]\nOutput: who would\n\nInput: I think John likes his beer. [j]\nOutput: john" } }, "92": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: John said Martha sang the aria with gusto. [s]\nOutput: said sang\n\nInput: There is a description of Aristotle in the book. [a]\nOutput: a aristotle\n\nInput: Through the hall echoed a loud cry. [t]\nOutput: through the\n\nInput: He bought a refrigerator in which to put the beer. [r]\nOutput: refrigerator\n\nInput: The president that Fred voted for dislikes his opponents. [o]\nOutput: opponents\n\nThe instruction was", "metadata": { "examples_seen": "Input: John said Martha sang the aria with gusto. [s]\nOutput: said sang\n\nInput: There is a description of Aristotle in the book. [a]\nOutput: a aristotle\n\nInput: Through the hall echoed a loud cry. [t]\nOutput: through the\n\nInput: He bought a refrigerator in which to put the beer. [r]\nOutput: refrigerator\n\nInput: The president that Fred voted for dislikes his opponents. [o]\nOutput: opponents" } }, "93": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I cut the soft bread. [i]\nOutput: i\n\nInput: Which city and which conference did Bill go to? [t]\nOutput: to\n\nInput: John believes it to be obvious that Bill left. [t]\nOutput: to that\n\nInput: The jeweller decorated the ring with the name. [d]\nOutput: decorated\n\nInput: Neither of the cars has air conditioning. [c]\nOutput: cars conditioning\n\nThe instruction was", "metadata": { "examples_seen": "Input: I cut the soft bread. [i]\nOutput: i\n\nInput: Which city and which conference did Bill go to? [t]\nOutput: to\n\nInput: John believes it to be obvious that Bill left. [t]\nOutput: to that\n\nInput: The jeweller decorated the ring with the name. [d]\nOutput: decorated\n\nInput: Neither of the cars has air conditioning. [c]\nOutput: cars conditioning" } }, "94": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: John laughed. [j]\nOutput: john\n\nInput: He bought a refrigerator in which to put the beer. [r]\nOutput: refrigerator\n\nInput: In the hallway there ticked a grandfather clock. [c]\nOutput: clock\n\nInput: Margaret cut Bill on the arm. [c]\nOutput: cut\n\nInput: John believes that Bill saw him. [t]\nOutput: that\n\nThe instruction was", "metadata": { "examples_seen": "Input: John laughed. [j]\nOutput: john\n\nInput: He bought a refrigerator in which to put the beer. [r]\nOutput: refrigerator\n\nInput: In the hallway there ticked a grandfather clock. [c]\nOutput: clock\n\nInput: Margaret cut Bill on the arm. [c]\nOutput: cut\n\nInput: John believes that Bill saw him. [t]\nOutput: that" } }, "95": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Imogen broke the vase. [b]\nOutput: broke\n\nInput: Aphrodite may quickly free the animals. [a]\nOutput: aphrodite animals\n\nInput: The man on whose lap the puppet is sitting is ventriloquist. [s]\nOutput: sitting\n\nInput: John believes it to be obvious that Bill left. [t]\nOutput: to that\n\nInput: Julia and Maria wanted to be allowed to perform a play. [a]\nOutput: and allowed a\n\nThe instruction was", "metadata": { "examples_seen": "Input: Imogen broke the vase. [b]\nOutput: broke\n\nInput: Aphrodite may quickly free the animals. [a]\nOutput: aphrodite animals\n\nInput: The man on whose lap the puppet is sitting is ventriloquist. [s]\nOutput: sitting\n\nInput: John believes it to be obvious that Bill left. [t]\nOutput: to that\n\nInput: Julia and Maria wanted to be allowed to perform a play. [a]\nOutput: and allowed a" } }, "96": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: I saw this film several times last year during the summer. [l]\nOutput: last\n\nInput: I have wanted to meet the man who spent so much money planning the assassination of Kennedy for many years. [k]\nOutput: kennedy\n\nInput: the book of poems with a red cover from Blackwell by Robert Burns takes a very long time to read. [t]\nOutput: the takes time to\n\nInput: There are fewer trucks on the motorway this winter. [m]\nOutput: motorway\n\nInput: Sandy must, too. [t]\nOutput: too\n\nThe instruction was", "metadata": { "examples_seen": "Input: I saw this film several times last year during the summer. [l]\nOutput: last\n\nInput: I have wanted to meet the man who spent so much money planning the assassination of Kennedy for many years. [k]\nOutput: kennedy\n\nInput: the book of poems with a red cover from Blackwell by Robert Burns takes a very long time to read. [t]\nOutput: the takes time to\n\nInput: There are fewer trucks on the motorway this winter. [m]\nOutput: motorway\n\nInput: Sandy must, too. [t]\nOutput: too" } }, "97": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Tom will force you to marry no student, and neither will I. [s]\nOutput: student\n\nInput: Last year I saw this film several times. [s]\nOutput: saw several\n\nInput: Never have I stolen from any members of your family. [o]\nOutput: of\n\nInput: I doubt that Mary reads mysteries. [i]\nOutput: i\n\nInput: It rained. [r]\nOutput: rained\n\nThe instruction was", "metadata": { "examples_seen": "Input: Tom will force you to marry no student, and neither will I. [s]\nOutput: student\n\nInput: Last year I saw this film several times. [s]\nOutput: saw several\n\nInput: Never have I stolen from any members of your family. [o]\nOutput: of\n\nInput: I doubt that Mary reads mysteries. [i]\nOutput: i\n\nInput: It rained. [r]\nOutput: rained" } }, "98": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: His friend kicked a ball. [h]\nOutput: his\n\nInput: It is John who wants to look at your notes after class. [n]\nOutput: notes\n\nInput: I believe that the sun was out. [w]\nOutput: was\n\nInput: How brave everybody must think you expect me to believe he is! [m]\nOutput: must me\n\nInput: Julie felt he was there [t]\nOutput: there\n\nThe instruction was", "metadata": { "examples_seen": "Input: His friend kicked a ball. [h]\nOutput: his\n\nInput: It is John who wants to look at your notes after class. [n]\nOutput: notes\n\nInput: I believe that the sun was out. [w]\nOutput: was\n\nInput: How brave everybody must think you expect me to believe he is! [m]\nOutput: must me\n\nInput: Julie felt he was there [t]\nOutput: there" } }, "99": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: John hit the wall with the stone. [h]\nOutput: hit\n\nInput: Jill kicked the ball from home plate to third base. [h]\nOutput: home\n\nInput: She will put a picture of Bill on your desk before tomorrow. [w]\nOutput: will\n\nInput: John remained a student. [j]\nOutput: john\n\nInput: Mary jumped the horse over the last fence perfectly. [f]\nOutput: fence\n\nThe instruction was", "metadata": { "examples_seen": "Input: John hit the wall with the stone. [h]\nOutput: hit\n\nInput: Jill kicked the ball from home plate to third base. [h]\nOutput: home\n\nInput: She will put a picture of Bill on your desk before tomorrow. [w]\nOutput: will\n\nInput: John remained a student. [j]\nOutput: john\n\nInput: Mary jumped the horse over the last fence perfectly. [f]\nOutput: fence" } }, "100": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: If John wants to succeed in corporate life, he has to know the rules of the game. [c]\nOutput: corporate\n\nInput: To whom did you give the ball? [b]\nOutput: ball\n\nInput: Sarah sang a hymn. [a]\nOutput: a\n\nInput: Rory will eat the muffins. [m]\nOutput: muffins\n\nInput: Which bed did Tom sleep on? [t]\nOutput: tom\n\nThe instruction was", "metadata": { "examples_seen": "Input: If John wants to succeed in corporate life, he has to know the rules of the game. [c]\nOutput: corporate\n\nInput: To whom did you give the ball? [b]\nOutput: ball\n\nInput: Sarah sang a hymn. [a]\nOutput: a\n\nInput: Rory will eat the muffins. [m]\nOutput: muffins\n\nInput: Which bed did Tom sleep on? [t]\nOutput: tom" } } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/induction_input/rhymes.json ================================================ { "examples": { "1": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ache\nOutput: cake\n\nInput: animation\nOutput: application\n\nInput: dot\nOutput: spot\n\nInput: tense\nOutput: sense\n\nInput: squash\nOutput: wash\n\nThe instruction was", "metadata": { "examples_seen": "Input: ache\nOutput: cake\n\nInput: animation\nOutput: application\n\nInput: dot\nOutput: spot\n\nInput: tense\nOutput: sense\n\nInput: squash\nOutput: wash" } }, "2": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: old\nOutput: fold\n\nInput: meter\nOutput: liter\n\nInput: dress\nOutput: success\n\nInput: reservation\nOutput: celebration\n\nInput: fry\nOutput: buy\n\nThe instruction was", "metadata": { "examples_seen": "Input: old\nOutput: fold\n\nInput: meter\nOutput: liter\n\nInput: dress\nOutput: success\n\nInput: reservation\nOutput: celebration\n\nInput: fry\nOutput: buy" } }, "3": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: hair\nOutput: share\n\nInput: contain\nOutput: chain\n\nInput: overnight\nOutput: site\n\nInput: animation\nOutput: registration\n\nInput: invitation\nOutput: generation\n\nThe instruction was", "metadata": { "examples_seen": "Input: hair\nOutput: share\n\nInput: contain\nOutput: chain\n\nInput: overnight\nOutput: site\n\nInput: animation\nOutput: registration\n\nInput: invitation\nOutput: generation" } }, "4": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: stand\nOutput: demand\n\nInput: pig\nOutput: dig\n\nInput: information\nOutput: reservation\n\nInput: cheese\nOutput: disease\n\nInput: stain\nOutput: main\n\nThe instruction was", "metadata": { "examples_seen": "Input: stand\nOutput: demand\n\nInput: pig\nOutput: dig\n\nInput: information\nOutput: reservation\n\nInput: cheese\nOutput: disease\n\nInput: stain\nOutput: main" } }, "5": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: right\nOutput: light\n\nInput: overnight\nOutput: light\n\nInput: decide\nOutput: hide\n\nInput: flag\nOutput: drag\n\nInput: competition\nOutput: permission\n\nThe instruction was", "metadata": { "examples_seen": "Input: right\nOutput: light\n\nInput: overnight\nOutput: light\n\nInput: decide\nOutput: hide\n\nInput: flag\nOutput: drag\n\nInput: competition\nOutput: permission" } }, "6": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: light\nOutput: site\n\nInput: hall\nOutput: call\n\nInput: dry\nOutput: nearby\n\nInput: biology\nOutput: apology\n\nInput: more\nOutput: war\n\nThe instruction was", "metadata": { "examples_seen": "Input: light\nOutput: site\n\nInput: hall\nOutput: call\n\nInput: dry\nOutput: nearby\n\nInput: biology\nOutput: apology\n\nInput: more\nOutput: war" } }, "7": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: questionnaire\nOutput: fair\n\nInput: reservation\nOutput: preparation\n\nInput: west\nOutput: southwest\n\nInput: musician\nOutput: composition\n\nInput: repair\nOutput: rare\n\nThe instruction was", "metadata": { "examples_seen": "Input: questionnaire\nOutput: fair\n\nInput: reservation\nOutput: preparation\n\nInput: west\nOutput: southwest\n\nInput: musician\nOutput: composition\n\nInput: repair\nOutput: rare" } }, "8": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: however\nOutput: forever\n\nInput: bye\nOutput: guy\n\nInput: too\nOutput: crew\n\nInput: go\nOutput: ago\n\nInput: animation\nOutput: imagination\n\nThe instruction was", "metadata": { "examples_seen": "Input: however\nOutput: forever\n\nInput: bye\nOutput: guy\n\nInput: too\nOutput: crew\n\nInput: go\nOutput: ago\n\nInput: animation\nOutput: imagination" } }, "9": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: champagne\nOutput: pain\n\nInput: conversation\nOutput: relaxation\n\nInput: so\nOutput: ago\n\nInput: show\nOutput: toe\n\nInput: thick\nOutput: pick\n\nThe instruction was", "metadata": { "examples_seen": "Input: champagne\nOutput: pain\n\nInput: conversation\nOutput: relaxation\n\nInput: so\nOutput: ago\n\nInput: show\nOutput: toe\n\nInput: thick\nOutput: pick" } }, "10": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: more\nOutput: floor\n\nInput: skin\nOutput: chin\n\nInput: boat\nOutput: promote\n\nInput: brake\nOutput: ache\n\nInput: role\nOutput: bowl\n\nThe instruction was", "metadata": { "examples_seen": "Input: more\nOutput: floor\n\nInput: skin\nOutput: chin\n\nInput: boat\nOutput: promote\n\nInput: brake\nOutput: ache\n\nInput: role\nOutput: bowl" } }, "11": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: free\nOutput: she\n\nInput: clean\nOutput: bean\n\nInput: sign\nOutput: design\n\nInput: green\nOutput: clean\n\nInput: tall\nOutput: baseball\n\nThe instruction was", "metadata": { "examples_seen": "Input: free\nOutput: she\n\nInput: clean\nOutput: bean\n\nInput: sign\nOutput: design\n\nInput: green\nOutput: clean\n\nInput: tall\nOutput: baseball" } }, "12": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sheep\nOutput: keep\n\nInput: throat\nOutput: promote\n\nInput: end\nOutput: friend\n\nInput: exhibition\nOutput: competition\n\nInput: information\nOutput: organization\n\nThe instruction was", "metadata": { "examples_seen": "Input: sheep\nOutput: keep\n\nInput: throat\nOutput: promote\n\nInput: end\nOutput: friend\n\nInput: exhibition\nOutput: competition\n\nInput: information\nOutput: organization" } }, "13": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bored\nOutput: board\n\nInput: through\nOutput: view\n\nInput: kill\nOutput: fill\n\nInput: begin\nOutput: pin\n\nInput: dig\nOutput: big\n\nThe instruction was", "metadata": { "examples_seen": "Input: bored\nOutput: board\n\nInput: through\nOutput: view\n\nInput: kill\nOutput: fill\n\nInput: begin\nOutput: pin\n\nInput: dig\nOutput: big" } }, "14": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: flu\nOutput: shoe\n\nInput: disagree\nOutput: free\n\nInput: late\nOutput: straight\n\nInput: mistake\nOutput: bake\n\nInput: relation\nOutput: station\n\nThe instruction was", "metadata": { "examples_seen": "Input: flu\nOutput: shoe\n\nInput: disagree\nOutput: free\n\nInput: late\nOutput: straight\n\nInput: mistake\nOutput: bake\n\nInput: relation\nOutput: station" } }, "15": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: collect\nOutput: connect\n\nInput: invitation\nOutput: station\n\nInput: musician\nOutput: composition\n\nInput: name\nOutput: game\n\nInput: cake\nOutput: shake\n\nThe instruction was", "metadata": { "examples_seen": "Input: collect\nOutput: connect\n\nInput: invitation\nOutput: station\n\nInput: musician\nOutput: composition\n\nInput: name\nOutput: game\n\nInput: cake\nOutput: shake" } }, "16": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bed\nOutput: head\n\nInput: divide\nOutput: wide\n\nInput: fact\nOutput: exact\n\nInput: dry\nOutput: tie\n\nInput: test\nOutput: west\n\nThe instruction was", "metadata": { "examples_seen": "Input: bed\nOutput: head\n\nInput: divide\nOutput: wide\n\nInput: fact\nOutput: exact\n\nInput: dry\nOutput: tie\n\nInput: test\nOutput: west" } }, "17": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: preparation\nOutput: animation\n\nInput: crew\nOutput: zoo\n\nInput: west\nOutput: southwest\n\nInput: cake\nOutput: bake\n\nInput: antique\nOutput: peak\n\nThe instruction was", "metadata": { "examples_seen": "Input: preparation\nOutput: animation\n\nInput: crew\nOutput: zoo\n\nInput: west\nOutput: southwest\n\nInput: cake\nOutput: bake\n\nInput: antique\nOutput: peak" } }, "18": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: quite\nOutput: height\n\nInput: examination\nOutput: situation\n\nInput: compare\nOutput: care\n\nInput: right\nOutput: despite\n\nInput: situation\nOutput: reservation\n\nThe instruction was", "metadata": { "examples_seen": "Input: quite\nOutput: height\n\nInput: examination\nOutput: situation\n\nInput: compare\nOutput: care\n\nInput: right\nOutput: despite\n\nInput: situation\nOutput: reservation" } }, "19": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: test\nOutput: depressed\n\nInput: kill\nOutput: skill\n\nInput: owe\nOutput: know\n\nInput: thumb\nOutput: from\n\nInput: bed\nOutput: ahead\n\nThe instruction was", "metadata": { "examples_seen": "Input: test\nOutput: depressed\n\nInput: kill\nOutput: skill\n\nInput: owe\nOutput: know\n\nInput: thumb\nOutput: from\n\nInput: bed\nOutput: ahead" } }, "20": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: coat\nOutput: promote\n\nInput: brown\nOutput: noun\n\nInput: leave\nOutput: achieve\n\nInput: thumb\nOutput: from\n\nInput: honey\nOutput: money\n\nThe instruction was", "metadata": { "examples_seen": "Input: coat\nOutput: promote\n\nInput: brown\nOutput: noun\n\nInput: leave\nOutput: achieve\n\nInput: thumb\nOutput: from\n\nInput: honey\nOutput: money" } }, "21": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: generation\nOutput: preparation\n\nInput: buy\nOutput: lie\n\nInput: hide\nOutput: guide\n\nInput: float\nOutput: note\n\nInput: test\nOutput: guest\n\nThe instruction was", "metadata": { "examples_seen": "Input: generation\nOutput: preparation\n\nInput: buy\nOutput: lie\n\nInput: hide\nOutput: guide\n\nInput: float\nOutput: note\n\nInput: test\nOutput: guest" } }, "22": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: too\nOutput: crew\n\nInput: my\nOutput: pie\n\nInput: population\nOutput: communication\n\nInput: blow\nOutput: so\n\nInput: bell\nOutput: well\n\nThe instruction was", "metadata": { "examples_seen": "Input: too\nOutput: crew\n\nInput: my\nOutput: pie\n\nInput: population\nOutput: communication\n\nInput: blow\nOutput: so\n\nInput: bell\nOutput: well" } }, "23": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: place\nOutput: case\n\nInput: sea\nOutput: disagree\n\nInput: shampoo\nOutput: too\n\nInput: go\nOutput: ago\n\nInput: station\nOutput: transportation\n\nThe instruction was", "metadata": { "examples_seen": "Input: place\nOutput: case\n\nInput: sea\nOutput: disagree\n\nInput: shampoo\nOutput: too\n\nInput: go\nOutput: ago\n\nInput: station\nOutput: transportation" } }, "24": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: wild\nOutput: mild\n\nInput: wall\nOutput: tall\n\nInput: pleasant\nOutput: unpleasant\n\nInput: snake\nOutput: shake\n\nInput: these\nOutput: cheese\n\nThe instruction was", "metadata": { "examples_seen": "Input: wild\nOutput: mild\n\nInput: wall\nOutput: tall\n\nInput: pleasant\nOutput: unpleasant\n\nInput: snake\nOutput: shake\n\nInput: these\nOutput: cheese" } }, "25": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: declare\nOutput: compare\n\nInput: fine\nOutput: shine\n\nInput: sense\nOutput: tense\n\nInput: reservation\nOutput: location\n\nInput: relation\nOutput: organization\n\nThe instruction was", "metadata": { "examples_seen": "Input: declare\nOutput: compare\n\nInput: fine\nOutput: shine\n\nInput: sense\nOutput: tense\n\nInput: reservation\nOutput: location\n\nInput: relation\nOutput: organization" } }, "26": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: send\nOutput: intend\n\nInput: sauce\nOutput: across\n\nInput: score\nOutput: pour\n\nInput: bite\nOutput: night\n\nInput: share\nOutput: their\n\nThe instruction was", "metadata": { "examples_seen": "Input: send\nOutput: intend\n\nInput: sauce\nOutput: across\n\nInput: score\nOutput: pour\n\nInput: bite\nOutput: night\n\nInput: share\nOutput: their" } }, "27": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: blue\nOutput: shoe\n\nInput: exact\nOutput: attract\n\nInput: date\nOutput: late\n\nInput: sky\nOutput: fly\n\nInput: teach\nOutput: peach\n\nThe instruction was", "metadata": { "examples_seen": "Input: blue\nOutput: shoe\n\nInput: exact\nOutput: attract\n\nInput: date\nOutput: late\n\nInput: sky\nOutput: fly\n\nInput: teach\nOutput: peach" } }, "28": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: recommend\nOutput: send\n\nInput: declare\nOutput: wear\n\nInput: fry\nOutput: high\n\nInput: bell\nOutput: smell\n\nInput: used\nOutput: confused\n\nThe instruction was", "metadata": { "examples_seen": "Input: recommend\nOutput: send\n\nInput: declare\nOutput: wear\n\nInput: fry\nOutput: high\n\nInput: bell\nOutput: smell\n\nInput: used\nOutput: confused" } }, "29": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: organization\nOutput: reservation\n\nInput: ham\nOutput: lamb\n\nInput: bake\nOutput: brake\n\nInput: those\nOutput: nose\n\nInput: invite\nOutput: flight\n\nThe instruction was", "metadata": { "examples_seen": "Input: organization\nOutput: reservation\n\nInput: ham\nOutput: lamb\n\nInput: bake\nOutput: brake\n\nInput: those\nOutput: nose\n\nInput: invite\nOutput: flight" } }, "30": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: thumb\nOutput: drum\n\nInput: clean\nOutput: mean\n\nInput: brain\nOutput: rain\n\nInput: slow\nOutput: know\n\nInput: communication\nOutput: transportation\n\nThe instruction was", "metadata": { "examples_seen": "Input: thumb\nOutput: drum\n\nInput: clean\nOutput: mean\n\nInput: brain\nOutput: rain\n\nInput: slow\nOutput: know\n\nInput: communication\nOutput: transportation" } }, "31": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sad\nOutput: dad\n\nInput: politician\nOutput: composition\n\nInput: lend\nOutput: end\n\nInput: relation\nOutput: generation\n\nInput: old\nOutput: hold\n\nThe instruction was", "metadata": { "examples_seen": "Input: sad\nOutput: dad\n\nInput: politician\nOutput: composition\n\nInput: lend\nOutput: end\n\nInput: relation\nOutput: generation\n\nInput: old\nOutput: hold" } }, "32": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: tie\nOutput: cry\n\nInput: great\nOutput: gate\n\nInput: late\nOutput: hate\n\nInput: southwest\nOutput: depressed\n\nInput: ambition\nOutput: intermission\n\nThe instruction was", "metadata": { "examples_seen": "Input: tie\nOutput: cry\n\nInput: great\nOutput: gate\n\nInput: late\nOutput: hate\n\nInput: southwest\nOutput: depressed\n\nInput: ambition\nOutput: intermission" } }, "33": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: round\nOutput: surround\n\nInput: stall\nOutput: mall\n\nInput: beer\nOutput: year\n\nInput: bite\nOutput: bright\n\nInput: line\nOutput: fine\n\nThe instruction was", "metadata": { "examples_seen": "Input: round\nOutput: surround\n\nInput: stall\nOutput: mall\n\nInput: beer\nOutput: year\n\nInput: bite\nOutput: bright\n\nInput: line\nOutput: fine" } }, "34": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: stairs\nOutput: downstairs\n\nInput: quite\nOutput: height\n\nInput: pea\nOutput: key\n\nInput: sheep\nOutput: deep\n\nInput: prepare\nOutput: hair\n\nThe instruction was", "metadata": { "examples_seen": "Input: stairs\nOutput: downstairs\n\nInput: quite\nOutput: height\n\nInput: pea\nOutput: key\n\nInput: sheep\nOutput: deep\n\nInput: prepare\nOutput: hair" } }, "35": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: imagination\nOutput: communication\n\nInput: freeze\nOutput: breeze\n\nInput: boot\nOutput: suit\n\nInput: hair\nOutput: share\n\nInput: note\nOutput: goat\n\nThe instruction was", "metadata": { "examples_seen": "Input: imagination\nOutput: communication\n\nInput: freeze\nOutput: breeze\n\nInput: boot\nOutput: suit\n\nInput: hair\nOutput: share\n\nInput: note\nOutput: goat" } }, "36": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: cave\nOutput: behave\n\nInput: snow\nOutput: so\n\nInput: relation\nOutput: station\n\nInput: mess\nOutput: less\n\nInput: sick\nOutput: quick\n\nThe instruction was", "metadata": { "examples_seen": "Input: cave\nOutput: behave\n\nInput: snow\nOutput: so\n\nInput: relation\nOutput: station\n\nInput: mess\nOutput: less\n\nInput: sick\nOutput: quick" } }, "37": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: preparation\nOutput: registration\n\nInput: we\nOutput: degree\n\nInput: spare\nOutput: pear\n\nInput: shore\nOutput: pour\n\nInput: throw\nOutput: slow\n\nThe instruction was", "metadata": { "examples_seen": "Input: preparation\nOutput: registration\n\nInput: we\nOutput: degree\n\nInput: spare\nOutput: pear\n\nInput: shore\nOutput: pour\n\nInput: throw\nOutput: slow" } }, "38": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: scary\nOutput: very\n\nInput: blouse\nOutput: house\n\nInput: lake\nOutput: ache\n\nInput: cheek\nOutput: technique\n\nInput: operation\nOutput: occupation\n\nThe instruction was", "metadata": { "examples_seen": "Input: scary\nOutput: very\n\nInput: blouse\nOutput: house\n\nInput: lake\nOutput: ache\n\nInput: cheek\nOutput: technique\n\nInput: operation\nOutput: occupation" } }, "39": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: exhibition\nOutput: intermission\n\nInput: right\nOutput: bite\n\nInput: right\nOutput: invite\n\nInput: plane\nOutput: complain\n\nInput: trip\nOutput: lip\n\nThe instruction was", "metadata": { "examples_seen": "Input: exhibition\nOutput: intermission\n\nInput: right\nOutput: bite\n\nInput: right\nOutput: invite\n\nInput: plane\nOutput: complain\n\nInput: trip\nOutput: lip" } }, "40": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: admit\nOutput: kit\n\nInput: soul\nOutput: whole\n\nInput: these\nOutput: cheese\n\nInput: low\nOutput: oh\n\nInput: rare\nOutput: their\n\nThe instruction was", "metadata": { "examples_seen": "Input: admit\nOutput: kit\n\nInput: soul\nOutput: whole\n\nInput: these\nOutput: cheese\n\nInput: low\nOutput: oh\n\nInput: rare\nOutput: their" } }, "41": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: card\nOutput: hard\n\nInput: key\nOutput: she\n\nInput: square\nOutput: rare\n\nInput: shampoo\nOutput: zoo\n\nInput: jam\nOutput: exam\n\nThe instruction was", "metadata": { "examples_seen": "Input: card\nOutput: hard\n\nInput: key\nOutput: she\n\nInput: square\nOutput: rare\n\nInput: shampoo\nOutput: zoo\n\nInput: jam\nOutput: exam" } }, "42": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: animation\nOutput: information\n\nInput: twin\nOutput: thin\n\nInput: registration\nOutput: animation\n\nInput: bye\nOutput: sky\n\nInput: go\nOutput: ago\n\nThe instruction was", "metadata": { "examples_seen": "Input: animation\nOutput: information\n\nInput: twin\nOutput: thin\n\nInput: registration\nOutput: animation\n\nInput: bye\nOutput: sky\n\nInput: go\nOutput: ago" } }, "43": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: begin\nOutput: pin\n\nInput: till\nOutput: spill\n\nInput: great\nOutput: plate\n\nInput: take\nOutput: make\n\nInput: no\nOutput: know\n\nThe instruction was", "metadata": { "examples_seen": "Input: begin\nOutput: pin\n\nInput: till\nOutput: spill\n\nInput: great\nOutput: plate\n\nInput: take\nOutput: make\n\nInput: no\nOutput: know" } }, "44": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: presentation\nOutput: reservation\n\nInput: make\nOutput: break\n\nInput: sea\nOutput: see\n\nInput: prepare\nOutput: bear\n\nInput: clever\nOutput: never\n\nThe instruction was", "metadata": { "examples_seen": "Input: presentation\nOutput: reservation\n\nInput: make\nOutput: break\n\nInput: sea\nOutput: see\n\nInput: prepare\nOutput: bear\n\nInput: clever\nOutput: never" } }, "45": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: disagree\nOutput: he\n\nInput: pain\nOutput: champagne\n\nInput: strong\nOutput: wrong\n\nInput: written\nOutput: kitten\n\nInput: pair\nOutput: spare\n\nThe instruction was", "metadata": { "examples_seen": "Input: disagree\nOutput: he\n\nInput: pain\nOutput: champagne\n\nInput: strong\nOutput: wrong\n\nInput: written\nOutput: kitten\n\nInput: pair\nOutput: spare" } }, "46": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: skill\nOutput: bill\n\nInput: court\nOutput: support\n\nInput: asleep\nOutput: steep\n\nInput: operation\nOutput: conversation\n\nInput: explain\nOutput: gain\n\nThe instruction was", "metadata": { "examples_seen": "Input: skill\nOutput: bill\n\nInput: court\nOutput: support\n\nInput: asleep\nOutput: steep\n\nInput: operation\nOutput: conversation\n\nInput: explain\nOutput: gain" } }, "47": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: through\nOutput: view\n\nInput: competition\nOutput: politician\n\nInput: chair\nOutput: repair\n\nInput: chin\nOutput: violin\n\nInput: sea\nOutput: agree\n\nThe instruction was", "metadata": { "examples_seen": "Input: through\nOutput: view\n\nInput: competition\nOutput: politician\n\nInput: chair\nOutput: repair\n\nInput: chin\nOutput: violin\n\nInput: sea\nOutput: agree" } }, "48": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pack\nOutput: snack\n\nInput: control\nOutput: whole\n\nInput: overnight\nOutput: might\n\nInput: prove\nOutput: approve\n\nInput: view\nOutput: shoe\n\nThe instruction was", "metadata": { "examples_seen": "Input: pack\nOutput: snack\n\nInput: control\nOutput: whole\n\nInput: overnight\nOutput: might\n\nInput: prove\nOutput: approve\n\nInput: view\nOutput: shoe" } }, "49": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: phone\nOutput: alone\n\nInput: ache\nOutput: steak\n\nInput: free\nOutput: agree\n\nInput: warning\nOutput: morning\n\nInput: row\nOutput: toe\n\nThe instruction was", "metadata": { "examples_seen": "Input: phone\nOutput: alone\n\nInput: ache\nOutput: steak\n\nInput: free\nOutput: agree\n\nInput: warning\nOutput: morning\n\nInput: row\nOutput: toe" } }, "50": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: polite\nOutput: night\n\nInput: action\nOutput: attraction\n\nInput: too\nOutput: shampoo\n\nInput: fry\nOutput: goodbye\n\nInput: trend\nOutput: defend\n\nThe instruction was", "metadata": { "examples_seen": "Input: polite\nOutput: night\n\nInput: action\nOutput: attraction\n\nInput: too\nOutput: shampoo\n\nInput: fry\nOutput: goodbye\n\nInput: trend\nOutput: defend" } }, "51": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: communication\nOutput: identification\n\nInput: care\nOutput: rare\n\nInput: conversation\nOutput: animation\n\nInput: goal\nOutput: control\n\nInput: roast\nOutput: coast\n\nThe instruction was", "metadata": { "examples_seen": "Input: communication\nOutput: identification\n\nInput: care\nOutput: rare\n\nInput: conversation\nOutput: animation\n\nInput: goal\nOutput: control\n\nInput: roast\nOutput: coast" } }, "52": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: review\nOutput: shampoo\n\nInput: pain\nOutput: rain\n\nInput: game\nOutput: name\n\nInput: occupation\nOutput: immigration\n\nInput: father\nOutput: bother\n\nThe instruction was", "metadata": { "examples_seen": "Input: review\nOutput: shampoo\n\nInput: pain\nOutput: rain\n\nInput: game\nOutput: name\n\nInput: occupation\nOutput: immigration\n\nInput: father\nOutput: bother" } }, "53": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: guy\nOutput: cry\n\nInput: cake\nOutput: awake\n\nInput: shake\nOutput: mistake\n\nInput: undress\nOutput: press\n\nInput: fail\nOutput: rail\n\nThe instruction was", "metadata": { "examples_seen": "Input: guy\nOutput: cry\n\nInput: cake\nOutput: awake\n\nInput: shake\nOutput: mistake\n\nInput: undress\nOutput: press\n\nInput: fail\nOutput: rail" } }, "54": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: writing\nOutput: exciting\n\nInput: location\nOutput: occupation\n\nInput: straight\nOutput: weight\n\nInput: road\nOutput: explode\n\nInput: by\nOutput: die\n\nThe instruction was", "metadata": { "examples_seen": "Input: writing\nOutput: exciting\n\nInput: location\nOutput: occupation\n\nInput: straight\nOutput: weight\n\nInput: road\nOutput: explode\n\nInput: by\nOutput: die" } }, "55": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: population\nOutput: preparation\n\nInput: arrest\nOutput: test\n\nInput: wear\nOutput: care\n\nInput: call\nOutput: tall\n\nInput: roll\nOutput: soul\n\nThe instruction was", "metadata": { "examples_seen": "Input: population\nOutput: preparation\n\nInput: arrest\nOutput: test\n\nInput: wear\nOutput: care\n\nInput: call\nOutput: tall\n\nInput: roll\nOutput: soul" } }, "56": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dry\nOutput: try\n\nInput: try\nOutput: apply\n\nInput: communication\nOutput: preparation\n\nInput: reservation\nOutput: celebration\n\nInput: composition\nOutput: position\n\nThe instruction was", "metadata": { "examples_seen": "Input: dry\nOutput: try\n\nInput: try\nOutput: apply\n\nInput: communication\nOutput: preparation\n\nInput: reservation\nOutput: celebration\n\nInput: composition\nOutput: position" } }, "57": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: information\nOutput: reservation\n\nInput: perform\nOutput: form\n\nInput: dry\nOutput: eye\n\nInput: punctuation\nOutput: vacation\n\nInput: mean\nOutput: scene\n\nThe instruction was", "metadata": { "examples_seen": "Input: information\nOutput: reservation\n\nInput: perform\nOutput: form\n\nInput: dry\nOutput: eye\n\nInput: punctuation\nOutput: vacation\n\nInput: mean\nOutput: scene" } }, "58": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: exhibition\nOutput: competition\n\nInput: rat\nOutput: hat\n\nInput: clever\nOutput: however\n\nInput: coat\nOutput: promote\n\nInput: not\nOutput: hot\n\nThe instruction was", "metadata": { "examples_seen": "Input: exhibition\nOutput: competition\n\nInput: rat\nOutput: hat\n\nInput: clever\nOutput: however\n\nInput: coat\nOutput: promote\n\nInput: not\nOutput: hot" } }, "59": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: care\nOutput: there\n\nInput: location\nOutput: registration\n\nInput: blood\nOutput: flood\n\nInput: ring\nOutput: sing\n\nInput: post\nOutput: coast\n\nThe instruction was", "metadata": { "examples_seen": "Input: care\nOutput: there\n\nInput: location\nOutput: registration\n\nInput: blood\nOutput: flood\n\nInput: ring\nOutput: sing\n\nInput: post\nOutput: coast" } }, "60": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sick\nOutput: kick\n\nInput: pair\nOutput: spare\n\nInput: communication\nOutput: situation\n\nInput: spend\nOutput: end\n\nInput: add\nOutput: glad\n\nThe instruction was", "metadata": { "examples_seen": "Input: sick\nOutput: kick\n\nInput: pair\nOutput: spare\n\nInput: communication\nOutput: situation\n\nInput: spend\nOutput: end\n\nInput: add\nOutput: glad" } }, "61": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: main\nOutput: rain\n\nInput: low\nOutput: sew\n\nInput: how\nOutput: cow\n\nInput: cloud\nOutput: proud\n\nInput: defend\nOutput: attend\n\nThe instruction was", "metadata": { "examples_seen": "Input: main\nOutput: rain\n\nInput: low\nOutput: sew\n\nInput: how\nOutput: cow\n\nInput: cloud\nOutput: proud\n\nInput: defend\nOutput: attend" } }, "62": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: earn\nOutput: turn\n\nInput: so\nOutput: snow\n\nInput: bit\nOutput: fit\n\nInput: store\nOutput: shore\n\nInput: afraid\nOutput: shade\n\nThe instruction was", "metadata": { "examples_seen": "Input: earn\nOutput: turn\n\nInput: so\nOutput: snow\n\nInput: bit\nOutput: fit\n\nInput: store\nOutput: shore\n\nInput: afraid\nOutput: shade" } }, "63": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: shy\nOutput: hi\n\nInput: ad\nOutput: sad\n\nInput: mistake\nOutput: steak\n\nInput: snow\nOutput: blow\n\nInput: end\nOutput: attend\n\nThe instruction was", "metadata": { "examples_seen": "Input: shy\nOutput: hi\n\nInput: ad\nOutput: sad\n\nInput: mistake\nOutput: steak\n\nInput: snow\nOutput: blow\n\nInput: end\nOutput: attend" } }, "64": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: free\nOutput: degree\n\nInput: my\nOutput: shy\n\nInput: explain\nOutput: train\n\nInput: right\nOutput: write\n\nInput: warning\nOutput: morning\n\nThe instruction was", "metadata": { "examples_seen": "Input: free\nOutput: degree\n\nInput: my\nOutput: shy\n\nInput: explain\nOutput: train\n\nInput: right\nOutput: write\n\nInput: warning\nOutput: morning" } }, "65": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sweater\nOutput: letter\n\nInput: hide\nOutput: ride\n\nInput: champagne\nOutput: brain\n\nInput: own\nOutput: postpone\n\nInput: wear\nOutput: bear\n\nThe instruction was", "metadata": { "examples_seen": "Input: sweater\nOutput: letter\n\nInput: hide\nOutput: ride\n\nInput: champagne\nOutput: brain\n\nInput: own\nOutput: postpone\n\nInput: wear\nOutput: bear" } }, "66": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: curly\nOutput: early\n\nInput: she\nOutput: me\n\nInput: zone\nOutput: stone\n\nInput: late\nOutput: gate\n\nInput: pair\nOutput: fare\n\nThe instruction was", "metadata": { "examples_seen": "Input: curly\nOutput: early\n\nInput: she\nOutput: me\n\nInput: zone\nOutput: stone\n\nInput: late\nOutput: gate\n\nInput: pair\nOutput: fare" } }, "67": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ball\nOutput: install\n\nInput: join\nOutput: coin\n\nInput: pair\nOutput: prepare\n\nInput: move\nOutput: prove\n\nInput: zoo\nOutput: do\n\nThe instruction was", "metadata": { "examples_seen": "Input: ball\nOutput: install\n\nInput: join\nOutput: coin\n\nInput: pair\nOutput: prepare\n\nInput: move\nOutput: prove\n\nInput: zoo\nOutput: do" } }, "68": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: toe\nOutput: low\n\nInput: sky\nOutput: shy\n\nInput: keep\nOutput: deep\n\nInput: sweater\nOutput: letter\n\nInput: store\nOutput: explore\n\nThe instruction was", "metadata": { "examples_seen": "Input: toe\nOutput: low\n\nInput: sky\nOutput: shy\n\nInput: keep\nOutput: deep\n\nInput: sweater\nOutput: letter\n\nInput: store\nOutput: explore" } }, "69": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bite\nOutput: fight\n\nInput: shiny\nOutput: tiny\n\nInput: loan\nOutput: phone\n\nInput: drawer\nOutput: sore\n\nInput: politely\nOutput: lightly\n\nThe instruction was", "metadata": { "examples_seen": "Input: bite\nOutput: fight\n\nInput: shiny\nOutput: tiny\n\nInput: loan\nOutput: phone\n\nInput: drawer\nOutput: sore\n\nInput: politely\nOutput: lightly" } }, "70": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: success\nOutput: mess\n\nInput: through\nOutput: blue\n\nInput: eye\nOutput: hi\n\nInput: fair\nOutput: declare\n\nInput: arm\nOutput: alarm\n\nThe instruction was", "metadata": { "examples_seen": "Input: success\nOutput: mess\n\nInput: through\nOutput: blue\n\nInput: eye\nOutput: hi\n\nInput: fair\nOutput: declare\n\nInput: arm\nOutput: alarm" } }, "71": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: exact\nOutput: attract\n\nInput: discover\nOutput: cover\n\nInput: fax\nOutput: tax\n\nInput: fine\nOutput: shine\n\nInput: yet\nOutput: cigarette\n\nThe instruction was", "metadata": { "examples_seen": "Input: exact\nOutput: attract\n\nInput: discover\nOutput: cover\n\nInput: fax\nOutput: tax\n\nInput: fine\nOutput: shine\n\nInput: yet\nOutput: cigarette" } }, "72": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: trick\nOutput: kick\n\nInput: photography\nOutput: biography\n\nInput: recover\nOutput: discover\n\nInput: unimportant\nOutput: important\n\nInput: possibility\nOutput: ability\n\nThe instruction was", "metadata": { "examples_seen": "Input: trick\nOutput: kick\n\nInput: photography\nOutput: biography\n\nInput: recover\nOutput: discover\n\nInput: unimportant\nOutput: important\n\nInput: possibility\nOutput: ability" } }, "73": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: cat\nOutput: flat\n\nInput: hi\nOutput: lie\n\nInput: there\nOutput: hair\n\nInput: strong\nOutput: wrong\n\nInput: sun\nOutput: fun\n\nThe instruction was", "metadata": { "examples_seen": "Input: cat\nOutput: flat\n\nInput: hi\nOutput: lie\n\nInput: there\nOutput: hair\n\nInput: strong\nOutput: wrong\n\nInput: sun\nOutput: fun" } }, "74": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: shine\nOutput: line\n\nInput: account\nOutput: amount\n\nInput: gate\nOutput: great\n\nInput: lie\nOutput: dry\n\nInput: send\nOutput: trend\n\nThe instruction was", "metadata": { "examples_seen": "Input: shine\nOutput: line\n\nInput: account\nOutput: amount\n\nInput: gate\nOutput: great\n\nInput: lie\nOutput: dry\n\nInput: send\nOutput: trend" } }, "75": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: declare\nOutput: pair\n\nInput: test\nOutput: arrest\n\nInput: send\nOutput: spend\n\nInput: try\nOutput: tie\n\nInput: guy\nOutput: cry\n\nThe instruction was", "metadata": { "examples_seen": "Input: declare\nOutput: pair\n\nInput: test\nOutput: arrest\n\nInput: send\nOutput: spend\n\nInput: try\nOutput: tie\n\nInput: guy\nOutput: cry" } }, "76": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: flat\nOutput: at\n\nInput: set\nOutput: yet\n\nInput: composition\nOutput: ambition\n\nInput: occupation\nOutput: situation\n\nInput: shampoo\nOutput: too\n\nThe instruction was", "metadata": { "examples_seen": "Input: flat\nOutput: at\n\nInput: set\nOutput: yet\n\nInput: composition\nOutput: ambition\n\nInput: occupation\nOutput: situation\n\nInput: shampoo\nOutput: too" } }, "77": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pill\nOutput: skill\n\nInput: information\nOutput: transportation\n\nInput: dressed\nOutput: suggest\n\nInput: invite\nOutput: bright\n\nInput: test\nOutput: northwest\n\nThe instruction was", "metadata": { "examples_seen": "Input: pill\nOutput: skill\n\nInput: information\nOutput: transportation\n\nInput: dressed\nOutput: suggest\n\nInput: invite\nOutput: bright\n\nInput: test\nOutput: northwest" } }, "78": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bill\nOutput: kill\n\nInput: yard\nOutput: card\n\nInput: tall\nOutput: mall\n\nInput: generation\nOutput: station\n\nInput: weak\nOutput: peak\n\nThe instruction was", "metadata": { "examples_seen": "Input: bill\nOutput: kill\n\nInput: yard\nOutput: card\n\nInput: tall\nOutput: mall\n\nInput: generation\nOutput: station\n\nInput: weak\nOutput: peak" } }, "79": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: fool\nOutput: school\n\nInput: sore\nOutput: more\n\nInput: week\nOutput: antique\n\nInput: head\nOutput: ahead\n\nInput: ago\nOutput: throw\n\nThe instruction was", "metadata": { "examples_seen": "Input: fool\nOutput: school\n\nInput: sore\nOutput: more\n\nInput: week\nOutput: antique\n\nInput: head\nOutput: ahead\n\nInput: ago\nOutput: throw" } }, "80": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: morning\nOutput: warning\n\nInput: select\nOutput: incorrect\n\nInput: river\nOutput: deliver\n\nInput: composition\nOutput: position\n\nInput: bye\nOutput: guy\n\nThe instruction was", "metadata": { "examples_seen": "Input: morning\nOutput: warning\n\nInput: select\nOutput: incorrect\n\nInput: river\nOutput: deliver\n\nInput: composition\nOutput: position\n\nInput: bye\nOutput: guy" } }, "81": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ship\nOutput: trip\n\nInput: guy\nOutput: cry\n\nInput: school\nOutput: fool\n\nInput: lie\nOutput: tie\n\nInput: awake\nOutput: break\n\nThe instruction was", "metadata": { "examples_seen": "Input: ship\nOutput: trip\n\nInput: guy\nOutput: cry\n\nInput: school\nOutput: fool\n\nInput: lie\nOutput: tie\n\nInput: awake\nOutput: break" } }, "82": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: make\nOutput: break\n\nInput: depressed\nOutput: northwest\n\nInput: suggest\nOutput: west\n\nInput: see\nOutput: free\n\nInput: grill\nOutput: spill\n\nThe instruction was", "metadata": { "examples_seen": "Input: make\nOutput: break\n\nInput: depressed\nOutput: northwest\n\nInput: suggest\nOutput: west\n\nInput: see\nOutput: free\n\nInput: grill\nOutput: spill" } }, "83": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: depressed\nOutput: northwest\n\nInput: sheep\nOutput: deep\n\nInput: appear\nOutput: dear\n\nInput: hat\nOutput: cat\n\nInput: information\nOutput: location\n\nThe instruction was", "metadata": { "examples_seen": "Input: depressed\nOutput: northwest\n\nInput: sheep\nOutput: deep\n\nInput: appear\nOutput: dear\n\nInput: hat\nOutput: cat\n\nInput: information\nOutput: location" } }, "84": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: transportation\nOutput: animation\n\nInput: lake\nOutput: steak\n\nInput: set\nOutput: net\n\nInput: polite\nOutput: night\n\nInput: confusing\nOutput: amusing\n\nThe instruction was", "metadata": { "examples_seen": "Input: transportation\nOutput: animation\n\nInput: lake\nOutput: steak\n\nInput: set\nOutput: net\n\nInput: polite\nOutput: night\n\nInput: confusing\nOutput: amusing" } }, "85": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: out\nOutput: shout\n\nInput: rare\nOutput: square\n\nInput: still\nOutput: spill\n\nInput: know\nOutput: sew\n\nInput: cry\nOutput: lie\n\nThe instruction was", "metadata": { "examples_seen": "Input: out\nOutput: shout\n\nInput: rare\nOutput: square\n\nInput: still\nOutput: spill\n\nInput: know\nOutput: sew\n\nInput: cry\nOutput: lie" } }, "86": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: come\nOutput: some\n\nInput: shave\nOutput: wave\n\nInput: pot\nOutput: spot\n\nInput: best\nOutput: northwest\n\nInput: presentation\nOutput: population\n\nThe instruction was", "metadata": { "examples_seen": "Input: come\nOutput: some\n\nInput: shave\nOutput: wave\n\nInput: pot\nOutput: spot\n\nInput: best\nOutput: northwest\n\nInput: presentation\nOutput: population" } }, "87": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: height\nOutput: invite\n\nInput: train\nOutput: stain\n\nInput: bored\nOutput: board\n\nInput: shine\nOutput: fine\n\nInput: generation\nOutput: preparation\n\nThe instruction was", "metadata": { "examples_seen": "Input: height\nOutput: invite\n\nInput: train\nOutput: stain\n\nInput: bored\nOutput: board\n\nInput: shine\nOutput: fine\n\nInput: generation\nOutput: preparation" } }, "88": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: war\nOutput: anymore\n\nInput: west\nOutput: rest\n\nInput: ghost\nOutput: roast\n\nInput: take\nOutput: make\n\nInput: pain\nOutput: champagne\n\nThe instruction was", "metadata": { "examples_seen": "Input: war\nOutput: anymore\n\nInput: west\nOutput: rest\n\nInput: ghost\nOutput: roast\n\nInput: take\nOutput: make\n\nInput: pain\nOutput: champagne" } }, "89": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: float\nOutput: promote\n\nInput: scene\nOutput: machine\n\nInput: state\nOutput: late\n\nInput: biology\nOutput: apology\n\nInput: shave\nOutput: cave\n\nThe instruction was", "metadata": { "examples_seen": "Input: float\nOutput: promote\n\nInput: scene\nOutput: machine\n\nInput: state\nOutput: late\n\nInput: biology\nOutput: apology\n\nInput: shave\nOutput: cave" } }, "90": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: test\nOutput: northwest\n\nInput: incorrect\nOutput: correct\n\nInput: degree\nOutput: see\n\nInput: float\nOutput: vote\n\nInput: call\nOutput: wall\n\nThe instruction was", "metadata": { "examples_seen": "Input: test\nOutput: northwest\n\nInput: incorrect\nOutput: correct\n\nInput: degree\nOutput: see\n\nInput: float\nOutput: vote\n\nInput: call\nOutput: wall" } }, "91": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: write\nOutput: despite\n\nInput: sort\nOutput: support\n\nInput: downtown\nOutput: clown\n\nInput: ink\nOutput: think\n\nInput: bite\nOutput: fight\n\nThe instruction was", "metadata": { "examples_seen": "Input: write\nOutput: despite\n\nInput: sort\nOutput: support\n\nInput: downtown\nOutput: clown\n\nInput: ink\nOutput: think\n\nInput: bite\nOutput: fight" } }, "92": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pile\nOutput: mile\n\nInput: defense\nOutput: sense\n\nInput: hi\nOutput: eye\n\nInput: expedition\nOutput: ambition\n\nInput: me\nOutput: tree\n\nThe instruction was", "metadata": { "examples_seen": "Input: pile\nOutput: mile\n\nInput: defense\nOutput: sense\n\nInput: hi\nOutput: eye\n\nInput: expedition\nOutput: ambition\n\nInput: me\nOutput: tree" } }, "93": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: contain\nOutput: rain\n\nInput: short\nOutput: sport\n\nInput: shoe\nOutput: you\n\nInput: score\nOutput: anymore\n\nInput: their\nOutput: bear\n\nThe instruction was", "metadata": { "examples_seen": "Input: contain\nOutput: rain\n\nInput: short\nOutput: sport\n\nInput: shoe\nOutput: you\n\nInput: score\nOutput: anymore\n\nInput: their\nOutput: bear" } }, "94": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ball\nOutput: install\n\nInput: expedition\nOutput: ambition\n\nInput: chess\nOutput: stress\n\nInput: expedition\nOutput: composition\n\nInput: dig\nOutput: big\n\nThe instruction was", "metadata": { "examples_seen": "Input: ball\nOutput: install\n\nInput: expedition\nOutput: ambition\n\nInput: chess\nOutput: stress\n\nInput: expedition\nOutput: composition\n\nInput: dig\nOutput: big" } }, "95": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: examination\nOutput: celebration\n\nInput: so\nOutput: toe\n\nInput: site\nOutput: height\n\nInput: shoe\nOutput: you\n\nInput: situation\nOutput: generation\n\nThe instruction was", "metadata": { "examples_seen": "Input: examination\nOutput: celebration\n\nInput: so\nOutput: toe\n\nInput: site\nOutput: height\n\nInput: shoe\nOutput: you\n\nInput: situation\nOutput: generation" } }, "96": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bell\nOutput: hotel\n\nInput: northwest\nOutput: depressed\n\nInput: wear\nOutput: compare\n\nInput: station\nOutput: communication\n\nInput: bit\nOutput: hit\n\nThe instruction was", "metadata": { "examples_seen": "Input: bell\nOutput: hotel\n\nInput: northwest\nOutput: depressed\n\nInput: wear\nOutput: compare\n\nInput: station\nOutput: communication\n\nInput: bit\nOutput: hit" } }, "97": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dress\nOutput: guess\n\nInput: squash\nOutput: wash\n\nInput: great\nOutput: state\n\nInput: tie\nOutput: sky\n\nInput: gain\nOutput: main\n\nThe instruction was", "metadata": { "examples_seen": "Input: dress\nOutput: guess\n\nInput: squash\nOutput: wash\n\nInput: great\nOutput: state\n\nInput: tie\nOutput: sky\n\nInput: gain\nOutput: main" } }, "98": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: thick\nOutput: kick\n\nInput: shade\nOutput: persuade\n\nInput: information\nOutput: punctuation\n\nInput: voice\nOutput: choice\n\nInput: dessert\nOutput: dirt\n\nThe instruction was", "metadata": { "examples_seen": "Input: thick\nOutput: kick\n\nInput: shade\nOutput: persuade\n\nInput: information\nOutput: punctuation\n\nInput: voice\nOutput: choice\n\nInput: dessert\nOutput: dirt" } }, "99": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: lie\nOutput: pie\n\nInput: dry\nOutput: tie\n\nInput: downtown\nOutput: clown\n\nInput: grill\nOutput: kill\n\nInput: presentation\nOutput: organization\n\nThe instruction was", "metadata": { "examples_seen": "Input: lie\nOutput: pie\n\nInput: dry\nOutput: tie\n\nInput: downtown\nOutput: clown\n\nInput: grill\nOutput: kill\n\nInput: presentation\nOutput: organization" } }, "100": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: organization\nOutput: generation\n\nInput: sky\nOutput: die\n\nInput: proud\nOutput: crowd\n\nInput: spill\nOutput: kill\n\nInput: file\nOutput: mile\n\nThe instruction was", "metadata": { "examples_seen": "Input: organization\nOutput: generation\n\nInput: sky\nOutput: die\n\nInput: proud\nOutput: crowd\n\nInput: spill\nOutput: kill\n\nInput: file\nOutput: mile" } } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/induction_input/second_word_letter.json ================================================ { "examples": { "1": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: blood\nOutput: l\n\nInput: intake\nOutput: n\n\nInput: disk\nOutput: i\n\nInput: machine\nOutput: a\n\nInput: lacrosse\nOutput: a\n\nThe instruction was", "metadata": { "examples_seen": "Input: blood\nOutput: l\n\nInput: intake\nOutput: n\n\nInput: disk\nOutput: i\n\nInput: machine\nOutput: a\n\nInput: lacrosse\nOutput: a" } }, "2": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pace\nOutput: a\n\nInput: highlight\nOutput: i\n\nInput: name\nOutput: a\n\nInput: abortion\nOutput: b\n\nInput: reprise\nOutput: e\n\nThe instruction was", "metadata": { "examples_seen": "Input: pace\nOutput: a\n\nInput: highlight\nOutput: i\n\nInput: name\nOutput: a\n\nInput: abortion\nOutput: b\n\nInput: reprise\nOutput: e" } }, "3": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: particle\nOutput: a\n\nInput: medicine\nOutput: e\n\nInput: chain\nOutput: h\n\nInput: neutrality\nOutput: e\n\nInput: boy\nOutput: o\n\nThe instruction was", "metadata": { "examples_seen": "Input: particle\nOutput: a\n\nInput: medicine\nOutput: e\n\nInput: chain\nOutput: h\n\nInput: neutrality\nOutput: e\n\nInput: boy\nOutput: o" } }, "4": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: teaser\nOutput: e\n\nInput: experiment\nOutput: x\n\nInput: synth\nOutput: y\n\nInput: discretion\nOutput: i\n\nInput: disagreement\nOutput: i\n\nThe instruction was", "metadata": { "examples_seen": "Input: teaser\nOutput: e\n\nInput: experiment\nOutput: x\n\nInput: synth\nOutput: y\n\nInput: discretion\nOutput: i\n\nInput: disagreement\nOutput: i" } }, "5": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: channel\nOutput: h\n\nInput: proclamation\nOutput: r\n\nInput: annexation\nOutput: n\n\nInput: depiction\nOutput: e\n\nInput: anticipation\nOutput: n\n\nThe instruction was", "metadata": { "examples_seen": "Input: channel\nOutput: h\n\nInput: proclamation\nOutput: r\n\nInput: annexation\nOutput: n\n\nInput: depiction\nOutput: e\n\nInput: anticipation\nOutput: n" } }, "6": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: warfare\nOutput: a\n\nInput: experimentation\nOutput: x\n\nInput: struggle\nOutput: t\n\nInput: progression\nOutput: r\n\nInput: routine\nOutput: o\n\nThe instruction was", "metadata": { "examples_seen": "Input: warfare\nOutput: a\n\nInput: experimentation\nOutput: x\n\nInput: struggle\nOutput: t\n\nInput: progression\nOutput: r\n\nInput: routine\nOutput: o" } }, "7": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: minute\nOutput: i\n\nInput: choir\nOutput: h\n\nInput: geology\nOutput: e\n\nInput: coal\nOutput: o\n\nInput: airing\nOutput: i\n\nThe instruction was", "metadata": { "examples_seen": "Input: minute\nOutput: i\n\nInput: choir\nOutput: h\n\nInput: geology\nOutput: e\n\nInput: coal\nOutput: o\n\nInput: airing\nOutput: i" } }, "8": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: transportation\nOutput: r\n\nInput: conquest\nOutput: o\n\nInput: commence\nOutput: o\n\nInput: curve\nOutput: u\n\nInput: software\nOutput: o\n\nThe instruction was", "metadata": { "examples_seen": "Input: transportation\nOutput: r\n\nInput: conquest\nOutput: o\n\nInput: commence\nOutput: o\n\nInput: curve\nOutput: u\n\nInput: software\nOutput: o" } }, "9": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: replay\nOutput: e\n\nInput: bowl\nOutput: o\n\nInput: abolition\nOutput: b\n\nInput: stripe\nOutput: t\n\nInput: musician\nOutput: u\n\nThe instruction was", "metadata": { "examples_seen": "Input: replay\nOutput: e\n\nInput: bowl\nOutput: o\n\nInput: abolition\nOutput: b\n\nInput: stripe\nOutput: t\n\nInput: musician\nOutput: u" } }, "10": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: net\nOutput: e\n\nInput: gravel\nOutput: r\n\nInput: metre\nOutput: e\n\nInput: budget\nOutput: u\n\nInput: cook\nOutput: o\n\nThe instruction was", "metadata": { "examples_seen": "Input: net\nOutput: e\n\nInput: gravel\nOutput: r\n\nInput: metre\nOutput: e\n\nInput: budget\nOutput: u\n\nInput: cook\nOutput: o" } }, "11": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: executive\nOutput: x\n\nInput: front\nOutput: r\n\nInput: station\nOutput: t\n\nInput: magnitude\nOutput: a\n\nInput: hand\nOutput: a\n\nThe instruction was", "metadata": { "examples_seen": "Input: executive\nOutput: x\n\nInput: front\nOutput: r\n\nInput: station\nOutput: t\n\nInput: magnitude\nOutput: a\n\nInput: hand\nOutput: a" } }, "12": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: steam\nOutput: t\n\nInput: equipment\nOutput: q\n\nInput: incarnation\nOutput: n\n\nInput: tackle\nOutput: a\n\nInput: resentment\nOutput: e\n\nThe instruction was", "metadata": { "examples_seen": "Input: steam\nOutput: t\n\nInput: equipment\nOutput: q\n\nInput: incarnation\nOutput: n\n\nInput: tackle\nOutput: a\n\nInput: resentment\nOutput: e" } }, "13": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: drinking\nOutput: r\n\nInput: country\nOutput: o\n\nInput: elbow\nOutput: l\n\nInput: broadcaster\nOutput: r\n\nInput: participation\nOutput: a\n\nThe instruction was", "metadata": { "examples_seen": "Input: drinking\nOutput: r\n\nInput: country\nOutput: o\n\nInput: elbow\nOutput: l\n\nInput: broadcaster\nOutput: r\n\nInput: participation\nOutput: a" } }, "14": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dynasty\nOutput: y\n\nInput: invitation\nOutput: n\n\nInput: reputation\nOutput: e\n\nInput: behavior\nOutput: e\n\nInput: lion\nOutput: i\n\nThe instruction was", "metadata": { "examples_seen": "Input: dynasty\nOutput: y\n\nInput: invitation\nOutput: n\n\nInput: reputation\nOutput: e\n\nInput: behavior\nOutput: e\n\nInput: lion\nOutput: i" } }, "15": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bowler\nOutput: o\n\nInput: fit\nOutput: i\n\nInput: delegate\nOutput: e\n\nInput: moisture\nOutput: o\n\nInput: midway\nOutput: i\n\nThe instruction was", "metadata": { "examples_seen": "Input: bowler\nOutput: o\n\nInput: fit\nOutput: i\n\nInput: delegate\nOutput: e\n\nInput: moisture\nOutput: o\n\nInput: midway\nOutput: i" } }, "16": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: stuff\nOutput: t\n\nInput: airing\nOutput: i\n\nInput: technique\nOutput: e\n\nInput: simulate\nOutput: i\n\nInput: deck\nOutput: e\n\nThe instruction was", "metadata": { "examples_seen": "Input: stuff\nOutput: t\n\nInput: airing\nOutput: i\n\nInput: technique\nOutput: e\n\nInput: simulate\nOutput: i\n\nInput: deck\nOutput: e" } }, "17": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: confession\nOutput: o\n\nInput: securing\nOutput: e\n\nInput: navigation\nOutput: a\n\nInput: pub\nOutput: u\n\nInput: contractor\nOutput: o\n\nThe instruction was", "metadata": { "examples_seen": "Input: confession\nOutput: o\n\nInput: securing\nOutput: e\n\nInput: navigation\nOutput: a\n\nInput: pub\nOutput: u\n\nInput: contractor\nOutput: o" } }, "18": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: backdrop\nOutput: a\n\nInput: handle\nOutput: a\n\nInput: coal\nOutput: o\n\nInput: pointing\nOutput: o\n\nInput: wrestler\nOutput: r\n\nThe instruction was", "metadata": { "examples_seen": "Input: backdrop\nOutput: a\n\nInput: handle\nOutput: a\n\nInput: coal\nOutput: o\n\nInput: pointing\nOutput: o\n\nInput: wrestler\nOutput: r" } }, "19": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: installation\nOutput: n\n\nInput: festival\nOutput: e\n\nInput: intersection\nOutput: n\n\nInput: achievement\nOutput: c\n\nInput: employment\nOutput: m\n\nThe instruction was", "metadata": { "examples_seen": "Input: installation\nOutput: n\n\nInput: festival\nOutput: e\n\nInput: intersection\nOutput: n\n\nInput: achievement\nOutput: c\n\nInput: employment\nOutput: m" } }, "20": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: protest\nOutput: r\n\nInput: viewer\nOutput: i\n\nInput: membrane\nOutput: e\n\nInput: possibility\nOutput: o\n\nInput: skating\nOutput: k\n\nThe instruction was", "metadata": { "examples_seen": "Input: protest\nOutput: r\n\nInput: viewer\nOutput: i\n\nInput: membrane\nOutput: e\n\nInput: possibility\nOutput: o\n\nInput: skating\nOutput: k" } }, "21": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: delay\nOutput: e\n\nInput: reservoir\nOutput: e\n\nInput: visibility\nOutput: i\n\nInput: possibility\nOutput: o\n\nInput: opposition\nOutput: p\n\nThe instruction was", "metadata": { "examples_seen": "Input: delay\nOutput: e\n\nInput: reservoir\nOutput: e\n\nInput: visibility\nOutput: i\n\nInput: possibility\nOutput: o\n\nInput: opposition\nOutput: p" } }, "22": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pipe\nOutput: i\n\nInput: home\nOutput: o\n\nInput: excellence\nOutput: x\n\nInput: infrastructure\nOutput: n\n\nInput: removal\nOutput: e\n\nThe instruction was", "metadata": { "examples_seen": "Input: pipe\nOutput: i\n\nInput: home\nOutput: o\n\nInput: excellence\nOutput: x\n\nInput: infrastructure\nOutput: n\n\nInput: removal\nOutput: e" } }, "23": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: admit\nOutput: d\n\nInput: software\nOutput: o\n\nInput: household\nOutput: o\n\nInput: sanctuary\nOutput: a\n\nInput: literature\nOutput: i\n\nThe instruction was", "metadata": { "examples_seen": "Input: admit\nOutput: d\n\nInput: software\nOutput: o\n\nInput: household\nOutput: o\n\nInput: sanctuary\nOutput: a\n\nInput: literature\nOutput: i" } }, "24": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: interchange\nOutput: n\n\nInput: vaccine\nOutput: a\n\nInput: rest\nOutput: e\n\nInput: soundtrack\nOutput: o\n\nInput: numbering\nOutput: u\n\nThe instruction was", "metadata": { "examples_seen": "Input: interchange\nOutput: n\n\nInput: vaccine\nOutput: a\n\nInput: rest\nOutput: e\n\nInput: soundtrack\nOutput: o\n\nInput: numbering\nOutput: u" } }, "25": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: territory\nOutput: e\n\nInput: feedback\nOutput: e\n\nInput: afternoon\nOutput: f\n\nInput: ride\nOutput: i\n\nInput: volunteer\nOutput: o\n\nThe instruction was", "metadata": { "examples_seen": "Input: territory\nOutput: e\n\nInput: feedback\nOutput: e\n\nInput: afternoon\nOutput: f\n\nInput: ride\nOutput: i\n\nInput: volunteer\nOutput: o" } }, "26": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: livestock\nOutput: i\n\nInput: velocity\nOutput: e\n\nInput: opinion\nOutput: p\n\nInput: case\nOutput: a\n\nInput: stroke\nOutput: t\n\nThe instruction was", "metadata": { "examples_seen": "Input: livestock\nOutput: i\n\nInput: velocity\nOutput: e\n\nInput: opinion\nOutput: p\n\nInput: case\nOutput: a\n\nInput: stroke\nOutput: t" } }, "27": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: output\nOutput: u\n\nInput: bone\nOutput: o\n\nInput: convention\nOutput: o\n\nInput: unemployment\nOutput: n\n\nInput: withdrawal\nOutput: i\n\nThe instruction was", "metadata": { "examples_seen": "Input: output\nOutput: u\n\nInput: bone\nOutput: o\n\nInput: convention\nOutput: o\n\nInput: unemployment\nOutput: n\n\nInput: withdrawal\nOutput: i" } }, "28": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: attack\nOutput: t\n\nInput: mixture\nOutput: i\n\nInput: agenda\nOutput: g\n\nInput: affection\nOutput: f\n\nInput: antagonist\nOutput: n\n\nThe instruction was", "metadata": { "examples_seen": "Input: attack\nOutput: t\n\nInput: mixture\nOutput: i\n\nInput: agenda\nOutput: g\n\nInput: affection\nOutput: f\n\nInput: antagonist\nOutput: n" } }, "29": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: mainstream\nOutput: a\n\nInput: cathedral\nOutput: a\n\nInput: midway\nOutput: i\n\nInput: obstacle\nOutput: b\n\nInput: sensitivity\nOutput: e\n\nThe instruction was", "metadata": { "examples_seen": "Input: mainstream\nOutput: a\n\nInput: cathedral\nOutput: a\n\nInput: midway\nOutput: i\n\nInput: obstacle\nOutput: b\n\nInput: sensitivity\nOutput: e" } }, "30": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: scope\nOutput: c\n\nInput: trail\nOutput: r\n\nInput: rehabilitation\nOutput: e\n\nInput: bar\nOutput: a\n\nInput: consequence\nOutput: o\n\nThe instruction was", "metadata": { "examples_seen": "Input: scope\nOutput: c\n\nInput: trail\nOutput: r\n\nInput: rehabilitation\nOutput: e\n\nInput: bar\nOutput: a\n\nInput: consequence\nOutput: o" } }, "31": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: decision\nOutput: e\n\nInput: harbour\nOutput: a\n\nInput: sale\nOutput: a\n\nInput: mortality\nOutput: o\n\nInput: bravery\nOutput: r\n\nThe instruction was", "metadata": { "examples_seen": "Input: decision\nOutput: e\n\nInput: harbour\nOutput: a\n\nInput: sale\nOutput: a\n\nInput: mortality\nOutput: o\n\nInput: bravery\nOutput: r" } }, "32": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: appeal\nOutput: p\n\nInput: intricate\nOutput: n\n\nInput: dimension\nOutput: i\n\nInput: desk\nOutput: e\n\nInput: salmon\nOutput: a\n\nThe instruction was", "metadata": { "examples_seen": "Input: appeal\nOutput: p\n\nInput: intricate\nOutput: n\n\nInput: dimension\nOutput: i\n\nInput: desk\nOutput: e\n\nInput: salmon\nOutput: a" } }, "33": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: seating\nOutput: e\n\nInput: voice\nOutput: o\n\nInput: synagogue\nOutput: y\n\nInput: pile\nOutput: i\n\nInput: clip\nOutput: l\n\nThe instruction was", "metadata": { "examples_seen": "Input: seating\nOutput: e\n\nInput: voice\nOutput: o\n\nInput: synagogue\nOutput: y\n\nInput: pile\nOutput: i\n\nInput: clip\nOutput: l" } }, "34": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: decade\nOutput: e\n\nInput: certainty\nOutput: e\n\nInput: analysis\nOutput: n\n\nInput: resupply\nOutput: e\n\nInput: symbol\nOutput: y\n\nThe instruction was", "metadata": { "examples_seen": "Input: decade\nOutput: e\n\nInput: certainty\nOutput: e\n\nInput: analysis\nOutput: n\n\nInput: resupply\nOutput: e\n\nInput: symbol\nOutput: y" } }, "35": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: localization\nOutput: o\n\nInput: menu\nOutput: e\n\nInput: crane\nOutput: r\n\nInput: assignment\nOutput: s\n\nInput: critic\nOutput: r\n\nThe instruction was", "metadata": { "examples_seen": "Input: localization\nOutput: o\n\nInput: menu\nOutput: e\n\nInput: crane\nOutput: r\n\nInput: assignment\nOutput: s\n\nInput: critic\nOutput: r" } }, "36": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: shark\nOutput: h\n\nInput: dose\nOutput: o\n\nInput: measurement\nOutput: e\n\nInput: installation\nOutput: n\n\nInput: excuse\nOutput: x\n\nThe instruction was", "metadata": { "examples_seen": "Input: shark\nOutput: h\n\nInput: dose\nOutput: o\n\nInput: measurement\nOutput: e\n\nInput: installation\nOutput: n\n\nInput: excuse\nOutput: x" } }, "37": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: tube\nOutput: u\n\nInput: outcome\nOutput: u\n\nInput: comment\nOutput: o\n\nInput: house\nOutput: o\n\nInput: pride\nOutput: r\n\nThe instruction was", "metadata": { "examples_seen": "Input: tube\nOutput: u\n\nInput: outcome\nOutput: u\n\nInput: comment\nOutput: o\n\nInput: house\nOutput: o\n\nInput: pride\nOutput: r" } }, "38": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: particle\nOutput: a\n\nInput: masterpiece\nOutput: a\n\nInput: pectoral\nOutput: e\n\nInput: pneumonia\nOutput: n\n\nInput: mention\nOutput: e\n\nThe instruction was", "metadata": { "examples_seen": "Input: particle\nOutput: a\n\nInput: masterpiece\nOutput: a\n\nInput: pectoral\nOutput: e\n\nInput: pneumonia\nOutput: n\n\nInput: mention\nOutput: e" } }, "39": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: moisture\nOutput: o\n\nInput: creator\nOutput: r\n\nInput: grammar\nOutput: r\n\nInput: behaviour\nOutput: e\n\nInput: corporation\nOutput: o\n\nThe instruction was", "metadata": { "examples_seen": "Input: moisture\nOutput: o\n\nInput: creator\nOutput: r\n\nInput: grammar\nOutput: r\n\nInput: behaviour\nOutput: e\n\nInput: corporation\nOutput: o" } }, "40": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: mainline\nOutput: a\n\nInput: phenomenon\nOutput: h\n\nInput: transition\nOutput: r\n\nInput: trumpet\nOutput: r\n\nInput: coverage\nOutput: o\n\nThe instruction was", "metadata": { "examples_seen": "Input: mainline\nOutput: a\n\nInput: phenomenon\nOutput: h\n\nInput: transition\nOutput: r\n\nInput: trumpet\nOutput: r\n\nInput: coverage\nOutput: o" } }, "41": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: temperature\nOutput: e\n\nInput: realism\nOutput: e\n\nInput: button\nOutput: u\n\nInput: paperback\nOutput: a\n\nInput: enclosure\nOutput: n\n\nThe instruction was", "metadata": { "examples_seen": "Input: temperature\nOutput: e\n\nInput: realism\nOutput: e\n\nInput: button\nOutput: u\n\nInput: paperback\nOutput: a\n\nInput: enclosure\nOutput: n" } }, "42": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: control\nOutput: o\n\nInput: declaration\nOutput: e\n\nInput: castle\nOutput: a\n\nInput: restaurant\nOutput: e\n\nInput: predecessor\nOutput: r\n\nThe instruction was", "metadata": { "examples_seen": "Input: control\nOutput: o\n\nInput: declaration\nOutput: e\n\nInput: castle\nOutput: a\n\nInput: restaurant\nOutput: e\n\nInput: predecessor\nOutput: r" } }, "43": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: destination\nOutput: e\n\nInput: process\nOutput: r\n\nInput: halftime\nOutput: a\n\nInput: referee\nOutput: e\n\nInput: strength\nOutput: t\n\nThe instruction was", "metadata": { "examples_seen": "Input: destination\nOutput: e\n\nInput: process\nOutput: r\n\nInput: halftime\nOutput: a\n\nInput: referee\nOutput: e\n\nInput: strength\nOutput: t" } }, "44": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: generator\nOutput: e\n\nInput: property\nOutput: r\n\nInput: accommodate\nOutput: c\n\nInput: stake\nOutput: t\n\nInput: morning\nOutput: o\n\nThe instruction was", "metadata": { "examples_seen": "Input: generator\nOutput: e\n\nInput: property\nOutput: r\n\nInput: accommodate\nOutput: c\n\nInput: stake\nOutput: t\n\nInput: morning\nOutput: o" } }, "45": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: mate\nOutput: a\n\nInput: lunch\nOutput: u\n\nInput: west\nOutput: e\n\nInput: community\nOutput: o\n\nInput: aggregator\nOutput: g\n\nThe instruction was", "metadata": { "examples_seen": "Input: mate\nOutput: a\n\nInput: lunch\nOutput: u\n\nInput: west\nOutput: e\n\nInput: community\nOutput: o\n\nInput: aggregator\nOutput: g" } }, "46": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: jumping\nOutput: u\n\nInput: numbering\nOutput: u\n\nInput: privilege\nOutput: r\n\nInput: reputation\nOutput: e\n\nInput: autonomy\nOutput: u\n\nThe instruction was", "metadata": { "examples_seen": "Input: jumping\nOutput: u\n\nInput: numbering\nOutput: u\n\nInput: privilege\nOutput: r\n\nInput: reputation\nOutput: e\n\nInput: autonomy\nOutput: u" } }, "47": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: church\nOutput: h\n\nInput: scouting\nOutput: c\n\nInput: luminosity\nOutput: u\n\nInput: forehead\nOutput: o\n\nInput: body\nOutput: o\n\nThe instruction was", "metadata": { "examples_seen": "Input: church\nOutput: h\n\nInput: scouting\nOutput: c\n\nInput: luminosity\nOutput: u\n\nInput: forehead\nOutput: o\n\nInput: body\nOutput: o" } }, "48": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: quest\nOutput: u\n\nInput: award\nOutput: w\n\nInput: importance\nOutput: m\n\nInput: monastery\nOutput: o\n\nInput: business\nOutput: u\n\nThe instruction was", "metadata": { "examples_seen": "Input: quest\nOutput: u\n\nInput: award\nOutput: w\n\nInput: importance\nOutput: m\n\nInput: monastery\nOutput: o\n\nInput: business\nOutput: u" } }, "49": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: platform\nOutput: l\n\nInput: exhibition\nOutput: x\n\nInput: cassette\nOutput: a\n\nInput: supervision\nOutput: u\n\nInput: exclusion\nOutput: x\n\nThe instruction was", "metadata": { "examples_seen": "Input: platform\nOutput: l\n\nInput: exhibition\nOutput: x\n\nInput: cassette\nOutput: a\n\nInput: supervision\nOutput: u\n\nInput: exclusion\nOutput: x" } }, "50": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: glee\nOutput: l\n\nInput: unrest\nOutput: n\n\nInput: posture\nOutput: o\n\nInput: privilege\nOutput: r\n\nInput: commuter\nOutput: o\n\nThe instruction was", "metadata": { "examples_seen": "Input: glee\nOutput: l\n\nInput: unrest\nOutput: n\n\nInput: posture\nOutput: o\n\nInput: privilege\nOutput: r\n\nInput: commuter\nOutput: o" } }, "51": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: messenger\nOutput: e\n\nInput: martial\nOutput: a\n\nInput: dynasty\nOutput: y\n\nInput: wrist\nOutput: r\n\nInput: association\nOutput: s\n\nThe instruction was", "metadata": { "examples_seen": "Input: messenger\nOutput: e\n\nInput: martial\nOutput: a\n\nInput: dynasty\nOutput: y\n\nInput: wrist\nOutput: r\n\nInput: association\nOutput: s" } }, "52": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: acceleration\nOutput: c\n\nInput: surname\nOutput: u\n\nInput: planning\nOutput: l\n\nInput: margin\nOutput: a\n\nInput: reliability\nOutput: e\n\nThe instruction was", "metadata": { "examples_seen": "Input: acceleration\nOutput: c\n\nInput: surname\nOutput: u\n\nInput: planning\nOutput: l\n\nInput: margin\nOutput: a\n\nInput: reliability\nOutput: e" } }, "53": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: plant\nOutput: l\n\nInput: period\nOutput: e\n\nInput: interaction\nOutput: n\n\nInput: viewer\nOutput: i\n\nInput: concentrate\nOutput: o\n\nThe instruction was", "metadata": { "examples_seen": "Input: plant\nOutput: l\n\nInput: period\nOutput: e\n\nInput: interaction\nOutput: n\n\nInput: viewer\nOutput: i\n\nInput: concentrate\nOutput: o" } }, "54": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: university\nOutput: n\n\nInput: dancer\nOutput: a\n\nInput: molecule\nOutput: o\n\nInput: cash\nOutput: a\n\nInput: flank\nOutput: l\n\nThe instruction was", "metadata": { "examples_seen": "Input: university\nOutput: n\n\nInput: dancer\nOutput: a\n\nInput: molecule\nOutput: o\n\nInput: cash\nOutput: a\n\nInput: flank\nOutput: l" } }, "55": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: trip\nOutput: r\n\nInput: martial\nOutput: a\n\nInput: communist\nOutput: o\n\nInput: concurrency\nOutput: o\n\nInput: chairman\nOutput: h\n\nThe instruction was", "metadata": { "examples_seen": "Input: trip\nOutput: r\n\nInput: martial\nOutput: a\n\nInput: communist\nOutput: o\n\nInput: concurrency\nOutput: o\n\nInput: chairman\nOutput: h" } }, "56": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: base\nOutput: a\n\nInput: cannon\nOutput: a\n\nInput: memoir\nOutput: e\n\nInput: wage\nOutput: a\n\nInput: silent\nOutput: i\n\nThe instruction was", "metadata": { "examples_seen": "Input: base\nOutput: a\n\nInput: cannon\nOutput: a\n\nInput: memoir\nOutput: e\n\nInput: wage\nOutput: a\n\nInput: silent\nOutput: i" } }, "57": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: compare\nOutput: o\n\nInput: peninsula\nOutput: e\n\nInput: spray\nOutput: p\n\nInput: landfall\nOutput: a\n\nInput: biology\nOutput: i\n\nThe instruction was", "metadata": { "examples_seen": "Input: compare\nOutput: o\n\nInput: peninsula\nOutput: e\n\nInput: spray\nOutput: p\n\nInput: landfall\nOutput: a\n\nInput: biology\nOutput: i" } }, "58": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: baseball\nOutput: a\n\nInput: retirement\nOutput: e\n\nInput: globe\nOutput: l\n\nInput: insignia\nOutput: n\n\nInput: homage\nOutput: o\n\nThe instruction was", "metadata": { "examples_seen": "Input: baseball\nOutput: a\n\nInput: retirement\nOutput: e\n\nInput: globe\nOutput: l\n\nInput: insignia\nOutput: n\n\nInput: homage\nOutput: o" } }, "59": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: outlet\nOutput: u\n\nInput: manufacture\nOutput: a\n\nInput: output\nOutput: u\n\nInput: egg\nOutput: g\n\nInput: gradient\nOutput: r\n\nThe instruction was", "metadata": { "examples_seen": "Input: outlet\nOutput: u\n\nInput: manufacture\nOutput: a\n\nInput: output\nOutput: u\n\nInput: egg\nOutput: g\n\nInput: gradient\nOutput: r" } }, "60": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: stomach\nOutput: t\n\nInput: labour\nOutput: a\n\nInput: brass\nOutput: r\n\nInput: illness\nOutput: l\n\nInput: shortstop\nOutput: h\n\nThe instruction was", "metadata": { "examples_seen": "Input: stomach\nOutput: t\n\nInput: labour\nOutput: a\n\nInput: brass\nOutput: r\n\nInput: illness\nOutput: l\n\nInput: shortstop\nOutput: h" } }, "61": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: rate\nOutput: a\n\nInput: destiny\nOutput: e\n\nInput: element\nOutput: l\n\nInput: drink\nOutput: r\n\nInput: tip\nOutput: i\n\nThe instruction was", "metadata": { "examples_seen": "Input: rate\nOutput: a\n\nInput: destiny\nOutput: e\n\nInput: element\nOutput: l\n\nInput: drink\nOutput: r\n\nInput: tip\nOutput: i" } }, "62": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: reactor\nOutput: e\n\nInput: militant\nOutput: i\n\nInput: abortion\nOutput: b\n\nInput: chance\nOutput: h\n\nInput: electricity\nOutput: l\n\nThe instruction was", "metadata": { "examples_seen": "Input: reactor\nOutput: e\n\nInput: militant\nOutput: i\n\nInput: abortion\nOutput: b\n\nInput: chance\nOutput: h\n\nInput: electricity\nOutput: l" } }, "63": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: enhance\nOutput: n\n\nInput: documentation\nOutput: o\n\nInput: dopamine\nOutput: o\n\nInput: merchant\nOutput: e\n\nInput: fundraising\nOutput: u\n\nThe instruction was", "metadata": { "examples_seen": "Input: enhance\nOutput: n\n\nInput: documentation\nOutput: o\n\nInput: dopamine\nOutput: o\n\nInput: merchant\nOutput: e\n\nInput: fundraising\nOutput: u" } }, "64": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: country\nOutput: o\n\nInput: mascot\nOutput: a\n\nInput: prevention\nOutput: r\n\nInput: poster\nOutput: o\n\nInput: delay\nOutput: e\n\nThe instruction was", "metadata": { "examples_seen": "Input: country\nOutput: o\n\nInput: mascot\nOutput: a\n\nInput: prevention\nOutput: r\n\nInput: poster\nOutput: o\n\nInput: delay\nOutput: e" } }, "65": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: basketball\nOutput: a\n\nInput: pose\nOutput: o\n\nInput: availability\nOutput: v\n\nInput: monsoon\nOutput: o\n\nInput: kid\nOutput: i\n\nThe instruction was", "metadata": { "examples_seen": "Input: basketball\nOutput: a\n\nInput: pose\nOutput: o\n\nInput: availability\nOutput: v\n\nInput: monsoon\nOutput: o\n\nInput: kid\nOutput: i" } }, "66": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: incident\nOutput: n\n\nInput: coronation\nOutput: o\n\nInput: exclusion\nOutput: x\n\nInput: label\nOutput: a\n\nInput: sink\nOutput: i\n\nThe instruction was", "metadata": { "examples_seen": "Input: incident\nOutput: n\n\nInput: coronation\nOutput: o\n\nInput: exclusion\nOutput: x\n\nInput: label\nOutput: a\n\nInput: sink\nOutput: i" } }, "67": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: breast\nOutput: r\n\nInput: strip\nOutput: t\n\nInput: hotel\nOutput: o\n\nInput: display\nOutput: i\n\nInput: release\nOutput: e\n\nThe instruction was", "metadata": { "examples_seen": "Input: breast\nOutput: r\n\nInput: strip\nOutput: t\n\nInput: hotel\nOutput: o\n\nInput: display\nOutput: i\n\nInput: release\nOutput: e" } }, "68": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: custody\nOutput: u\n\nInput: recognition\nOutput: e\n\nInput: future\nOutput: u\n\nInput: asylum\nOutput: s\n\nInput: scenario\nOutput: c\n\nThe instruction was", "metadata": { "examples_seen": "Input: custody\nOutput: u\n\nInput: recognition\nOutput: e\n\nInput: future\nOutput: u\n\nInput: asylum\nOutput: s\n\nInput: scenario\nOutput: c" } }, "69": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: devotion\nOutput: e\n\nInput: tunnel\nOutput: u\n\nInput: habitat\nOutput: a\n\nInput: trough\nOutput: r\n\nInput: helium\nOutput: e\n\nThe instruction was", "metadata": { "examples_seen": "Input: devotion\nOutput: e\n\nInput: tunnel\nOutput: u\n\nInput: habitat\nOutput: a\n\nInput: trough\nOutput: r\n\nInput: helium\nOutput: e" } }, "70": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: lover\nOutput: o\n\nInput: call\nOutput: a\n\nInput: survivor\nOutput: u\n\nInput: parrot\nOutput: a\n\nInput: novel\nOutput: o\n\nThe instruction was", "metadata": { "examples_seen": "Input: lover\nOutput: o\n\nInput: call\nOutput: a\n\nInput: survivor\nOutput: u\n\nInput: parrot\nOutput: a\n\nInput: novel\nOutput: o" } }, "71": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: molecule\nOutput: o\n\nInput: experience\nOutput: x\n\nInput: consort\nOutput: o\n\nInput: shopping\nOutput: h\n\nInput: emblem\nOutput: m\n\nThe instruction was", "metadata": { "examples_seen": "Input: molecule\nOutput: o\n\nInput: experience\nOutput: x\n\nInput: consort\nOutput: o\n\nInput: shopping\nOutput: h\n\nInput: emblem\nOutput: m" } }, "72": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: eye\nOutput: y\n\nInput: employer\nOutput: m\n\nInput: showcase\nOutput: h\n\nInput: wreck\nOutput: r\n\nInput: gut\nOutput: u\n\nThe instruction was", "metadata": { "examples_seen": "Input: eye\nOutput: y\n\nInput: employer\nOutput: m\n\nInput: showcase\nOutput: h\n\nInput: wreck\nOutput: r\n\nInput: gut\nOutput: u" } }, "73": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: hunt\nOutput: u\n\nInput: compensation\nOutput: o\n\nInput: aesthetic\nOutput: e\n\nInput: wire\nOutput: i\n\nInput: disruption\nOutput: i\n\nThe instruction was", "metadata": { "examples_seen": "Input: hunt\nOutput: u\n\nInput: compensation\nOutput: o\n\nInput: aesthetic\nOutput: e\n\nInput: wire\nOutput: i\n\nInput: disruption\nOutput: i" } }, "74": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: livestock\nOutput: i\n\nInput: tax\nOutput: a\n\nInput: eligibility\nOutput: l\n\nInput: expand\nOutput: x\n\nInput: demo\nOutput: e\n\nThe instruction was", "metadata": { "examples_seen": "Input: livestock\nOutput: i\n\nInput: tax\nOutput: a\n\nInput: eligibility\nOutput: l\n\nInput: expand\nOutput: x\n\nInput: demo\nOutput: e" } }, "75": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: consort\nOutput: o\n\nInput: bomb\nOutput: o\n\nInput: dozen\nOutput: o\n\nInput: group\nOutput: r\n\nInput: bread\nOutput: r\n\nThe instruction was", "metadata": { "examples_seen": "Input: consort\nOutput: o\n\nInput: bomb\nOutput: o\n\nInput: dozen\nOutput: o\n\nInput: group\nOutput: r\n\nInput: bread\nOutput: r" } }, "76": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: freshwater\nOutput: r\n\nInput: simulate\nOutput: i\n\nInput: comment\nOutput: o\n\nInput: gut\nOutput: u\n\nInput: defense\nOutput: e\n\nThe instruction was", "metadata": { "examples_seen": "Input: freshwater\nOutput: r\n\nInput: simulate\nOutput: i\n\nInput: comment\nOutput: o\n\nInput: gut\nOutput: u\n\nInput: defense\nOutput: e" } }, "77": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: nesting\nOutput: e\n\nInput: premise\nOutput: r\n\nInput: source\nOutput: o\n\nInput: talk\nOutput: a\n\nInput: turmoil\nOutput: u\n\nThe instruction was", "metadata": { "examples_seen": "Input: nesting\nOutput: e\n\nInput: premise\nOutput: r\n\nInput: source\nOutput: o\n\nInput: talk\nOutput: a\n\nInput: turmoil\nOutput: u" } }, "78": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: touchdown\nOutput: o\n\nInput: courtesy\nOutput: o\n\nInput: defeat\nOutput: e\n\nInput: opinion\nOutput: p\n\nInput: escape\nOutput: s\n\nThe instruction was", "metadata": { "examples_seen": "Input: touchdown\nOutput: o\n\nInput: courtesy\nOutput: o\n\nInput: defeat\nOutput: e\n\nInput: opinion\nOutput: p\n\nInput: escape\nOutput: s" } }, "79": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: earth\nOutput: a\n\nInput: membership\nOutput: e\n\nInput: permission\nOutput: e\n\nInput: peace\nOutput: e\n\nInput: granite\nOutput: r\n\nThe instruction was", "metadata": { "examples_seen": "Input: earth\nOutput: a\n\nInput: membership\nOutput: e\n\nInput: permission\nOutput: e\n\nInput: peace\nOutput: e\n\nInput: granite\nOutput: r" } }, "80": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: focus\nOutput: o\n\nInput: assemble\nOutput: s\n\nInput: gate\nOutput: a\n\nInput: liquor\nOutput: i\n\nInput: cassette\nOutput: a\n\nThe instruction was", "metadata": { "examples_seen": "Input: focus\nOutput: o\n\nInput: assemble\nOutput: s\n\nInput: gate\nOutput: a\n\nInput: liquor\nOutput: i\n\nInput: cassette\nOutput: a" } }, "81": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: referee\nOutput: e\n\nInput: battalion\nOutput: a\n\nInput: coordination\nOutput: o\n\nInput: icon\nOutput: c\n\nInput: acquaintance\nOutput: c\n\nThe instruction was", "metadata": { "examples_seen": "Input: referee\nOutput: e\n\nInput: battalion\nOutput: a\n\nInput: coordination\nOutput: o\n\nInput: icon\nOutput: c\n\nInput: acquaintance\nOutput: c" } }, "82": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: foraging\nOutput: o\n\nInput: remix\nOutput: e\n\nInput: chair\nOutput: h\n\nInput: consultant\nOutput: o\n\nInput: chocolate\nOutput: h\n\nThe instruction was", "metadata": { "examples_seen": "Input: foraging\nOutput: o\n\nInput: remix\nOutput: e\n\nInput: chair\nOutput: h\n\nInput: consultant\nOutput: o\n\nInput: chocolate\nOutput: h" } }, "83": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: baseball\nOutput: a\n\nInput: citadel\nOutput: i\n\nInput: puck\nOutput: u\n\nInput: mission\nOutput: i\n\nInput: ministry\nOutput: i\n\nThe instruction was", "metadata": { "examples_seen": "Input: baseball\nOutput: a\n\nInput: citadel\nOutput: i\n\nInput: puck\nOutput: u\n\nInput: mission\nOutput: i\n\nInput: ministry\nOutput: i" } }, "84": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dissatisfaction\nOutput: i\n\nInput: load\nOutput: o\n\nInput: soundtrack\nOutput: o\n\nInput: gesture\nOutput: e\n\nInput: variation\nOutput: a\n\nThe instruction was", "metadata": { "examples_seen": "Input: dissatisfaction\nOutput: i\n\nInput: load\nOutput: o\n\nInput: soundtrack\nOutput: o\n\nInput: gesture\nOutput: e\n\nInput: variation\nOutput: a" } }, "85": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: frontman\nOutput: r\n\nInput: threat\nOutput: h\n\nInput: stiff\nOutput: t\n\nInput: resort\nOutput: e\n\nInput: population\nOutput: o\n\nThe instruction was", "metadata": { "examples_seen": "Input: frontman\nOutput: r\n\nInput: threat\nOutput: h\n\nInput: stiff\nOutput: t\n\nInput: resort\nOutput: e\n\nInput: population\nOutput: o" } }, "86": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: vegetation\nOutput: e\n\nInput: none\nOutput: o\n\nInput: pension\nOutput: e\n\nInput: simulation\nOutput: i\n\nInput: trailer\nOutput: r\n\nThe instruction was", "metadata": { "examples_seen": "Input: vegetation\nOutput: e\n\nInput: none\nOutput: o\n\nInput: pension\nOutput: e\n\nInput: simulation\nOutput: i\n\nInput: trailer\nOutput: r" } }, "87": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: jurisdiction\nOutput: u\n\nInput: exploration\nOutput: x\n\nInput: apology\nOutput: p\n\nInput: acre\nOutput: c\n\nInput: masterpiece\nOutput: a\n\nThe instruction was", "metadata": { "examples_seen": "Input: jurisdiction\nOutput: u\n\nInput: exploration\nOutput: x\n\nInput: apology\nOutput: p\n\nInput: acre\nOutput: c\n\nInput: masterpiece\nOutput: a" } }, "88": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: modeling\nOutput: o\n\nInput: exposure\nOutput: x\n\nInput: screenwriter\nOutput: c\n\nInput: chance\nOutput: h\n\nInput: doorway\nOutput: o\n\nThe instruction was", "metadata": { "examples_seen": "Input: modeling\nOutput: o\n\nInput: exposure\nOutput: x\n\nInput: screenwriter\nOutput: c\n\nInput: chance\nOutput: h\n\nInput: doorway\nOutput: o" } }, "89": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: detention\nOutput: e\n\nInput: word\nOutput: o\n\nInput: baseball\nOutput: a\n\nInput: homosexuality\nOutput: o\n\nInput: shooting\nOutput: h\n\nThe instruction was", "metadata": { "examples_seen": "Input: detention\nOutput: e\n\nInput: word\nOutput: o\n\nInput: baseball\nOutput: a\n\nInput: homosexuality\nOutput: o\n\nInput: shooting\nOutput: h" } }, "90": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: weight\nOutput: e\n\nInput: quest\nOutput: u\n\nInput: theater\nOutput: h\n\nInput: copy\nOutput: o\n\nInput: lent\nOutput: e\n\nThe instruction was", "metadata": { "examples_seen": "Input: weight\nOutput: e\n\nInput: quest\nOutput: u\n\nInput: theater\nOutput: h\n\nInput: copy\nOutput: o\n\nInput: lent\nOutput: e" } }, "91": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: planet\nOutput: l\n\nInput: theater\nOutput: h\n\nInput: tube\nOutput: u\n\nInput: disability\nOutput: i\n\nInput: filming\nOutput: i\n\nThe instruction was", "metadata": { "examples_seen": "Input: planet\nOutput: l\n\nInput: theater\nOutput: h\n\nInput: tube\nOutput: u\n\nInput: disability\nOutput: i\n\nInput: filming\nOutput: i" } }, "92": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bore\nOutput: o\n\nInput: barrage\nOutput: a\n\nInput: dish\nOutput: i\n\nInput: parent\nOutput: a\n\nInput: exit\nOutput: x\n\nThe instruction was", "metadata": { "examples_seen": "Input: bore\nOutput: o\n\nInput: barrage\nOutput: a\n\nInput: dish\nOutput: i\n\nInput: parent\nOutput: a\n\nInput: exit\nOutput: x" } }, "93": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: assertion\nOutput: s\n\nInput: diameter\nOutput: i\n\nInput: populace\nOutput: o\n\nInput: whale\nOutput: h\n\nInput: songwriter\nOutput: o\n\nThe instruction was", "metadata": { "examples_seen": "Input: assertion\nOutput: s\n\nInput: diameter\nOutput: i\n\nInput: populace\nOutput: o\n\nInput: whale\nOutput: h\n\nInput: songwriter\nOutput: o" } }, "94": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dissolution\nOutput: i\n\nInput: terrorist\nOutput: e\n\nInput: viewer\nOutput: i\n\nInput: privacy\nOutput: r\n\nInput: contact\nOutput: o\n\nThe instruction was", "metadata": { "examples_seen": "Input: dissolution\nOutput: i\n\nInput: terrorist\nOutput: e\n\nInput: viewer\nOutput: i\n\nInput: privacy\nOutput: r\n\nInput: contact\nOutput: o" } }, "95": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: barrage\nOutput: a\n\nInput: bench\nOutput: e\n\nInput: cross\nOutput: r\n\nInput: result\nOutput: e\n\nInput: phenomena\nOutput: h\n\nThe instruction was", "metadata": { "examples_seen": "Input: barrage\nOutput: a\n\nInput: bench\nOutput: e\n\nInput: cross\nOutput: r\n\nInput: result\nOutput: e\n\nInput: phenomena\nOutput: h" } }, "96": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: height\nOutput: e\n\nInput: pipe\nOutput: i\n\nInput: battlefield\nOutput: a\n\nInput: plateau\nOutput: l\n\nInput: regard\nOutput: e\n\nThe instruction was", "metadata": { "examples_seen": "Input: height\nOutput: e\n\nInput: pipe\nOutput: i\n\nInput: battlefield\nOutput: a\n\nInput: plateau\nOutput: l\n\nInput: regard\nOutput: e" } }, "97": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: gasoline\nOutput: a\n\nInput: scouting\nOutput: c\n\nInput: exhibition\nOutput: x\n\nInput: farmer\nOutput: a\n\nInput: emission\nOutput: m\n\nThe instruction was", "metadata": { "examples_seen": "Input: gasoline\nOutput: a\n\nInput: scouting\nOutput: c\n\nInput: exhibition\nOutput: x\n\nInput: farmer\nOutput: a\n\nInput: emission\nOutput: m" } }, "98": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: fortress\nOutput: o\n\nInput: routine\nOutput: o\n\nInput: inauguration\nOutput: n\n\nInput: complement\nOutput: o\n\nInput: resort\nOutput: e\n\nThe instruction was", "metadata": { "examples_seen": "Input: fortress\nOutput: o\n\nInput: routine\nOutput: o\n\nInput: inauguration\nOutput: n\n\nInput: complement\nOutput: o\n\nInput: resort\nOutput: e" } }, "99": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: respiratory\nOutput: e\n\nInput: war\nOutput: a\n\nInput: equality\nOutput: q\n\nInput: aluminium\nOutput: l\n\nInput: placement\nOutput: l\n\nThe instruction was", "metadata": { "examples_seen": "Input: respiratory\nOutput: e\n\nInput: war\nOutput: a\n\nInput: equality\nOutput: q\n\nInput: aluminium\nOutput: l\n\nInput: placement\nOutput: l" } }, "100": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: specialist\nOutput: p\n\nInput: product\nOutput: r\n\nInput: group\nOutput: r\n\nInput: intention\nOutput: n\n\nInput: faction\nOutput: a\n\nThe instruction was", "metadata": { "examples_seen": "Input: specialist\nOutput: p\n\nInput: product\nOutput: r\n\nInput: group\nOutput: r\n\nInput: intention\nOutput: n\n\nInput: faction\nOutput: a" } } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/induction_input/sentence_similarity.json ================================================ { "examples": { "1": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Operation Chaos is merely people voting. Sentence 2: Chaos is merely people voting.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: U.S. drone strike kills 5 in Pakistan Sentence 2: Pakistan drone strike kills up to six\nOutput: 3 - probably\n\nInput: Sentence 1: Queen visits Britain's new prince Sentence 2: Queen meets Britain's new baby prince\nOutput: 5 - perfectly\n\nInput: Sentence 1: Two boys are driving. Sentence 2: Two bays are dancing.\nOutput: 1 - probably not\n\nInput: Sentence 1: A man is holding a leaf. Sentence 2: A woman is watching television.\nOutput: 0 - definitely not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Operation Chaos is merely people voting. Sentence 2: Chaos is merely people voting.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: U.S. drone strike kills 5 in Pakistan Sentence 2: Pakistan drone strike kills up to six\nOutput: 3 - probably\n\nInput: Sentence 1: Queen visits Britain's new prince Sentence 2: Queen meets Britain's new baby prince\nOutput: 5 - perfectly\n\nInput: Sentence 1: Two boys are driving. Sentence 2: Two bays are dancing.\nOutput: 1 - probably not\n\nInput: Sentence 1: A man is holding a leaf. Sentence 2: A woman is watching television.\nOutput: 0 - definitely not" } }, "2": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Students take a ride on airwaves Sentence 2: 5.5-magnitude quake hits off Taiwan\nOutput: 0 - definitely not\n\nInput: Sentence 1: Gunmen kill 10 in Philippine political violence Sentence 2: Five killed in Philippines volcano eruption\nOutput: 1 - probably not\n\nInput: Sentence 1: Tell us what the charges were. Sentence 2: Yes what are his charges.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Westgate mall attackers spent four months planning in Nairobi Sentence 2: Westgate attackers spent four months planning in Nairobi, says official\nOutput: 5 - perfectly\n\nInput: Sentence 1: Saudi-led airstrikes hit Yemeni capital Sentence 2: Saudi airstrikes in Yemen's capital kill 29\nOutput: 3 - probably\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Students take a ride on airwaves Sentence 2: 5.5-magnitude quake hits off Taiwan\nOutput: 0 - definitely not\n\nInput: Sentence 1: Gunmen kill 10 in Philippine political violence Sentence 2: Five killed in Philippines volcano eruption\nOutput: 1 - probably not\n\nInput: Sentence 1: Tell us what the charges were. Sentence 2: Yes what are his charges.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Westgate mall attackers spent four months planning in Nairobi Sentence 2: Westgate attackers spent four months planning in Nairobi, says official\nOutput: 5 - perfectly\n\nInput: Sentence 1: Saudi-led airstrikes hit Yemeni capital Sentence 2: Saudi airstrikes in Yemen's capital kill 29\nOutput: 3 - probably" } }, "3": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A woman cuts a pink loaf with a knife. Sentence 2: A man is playing a guitar.\nOutput: 0 - definitely not\n\nInput: Sentence 1: Iran, six global powers sign landmark nuclear deal Sentence 2: Iran, world powers agree nuclear deal\nOutput: 5 - perfectly\n\nInput: Sentence 1: Person with two ski poles skiing down a snowy hill. Sentence 2: A person skiing down a snowy hill.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Putin casts ballot as Russians vote Sentence 2: Putin to win Russia's presidential election\nOutput: 1 - probably not\n\nInput: Sentence 1: Russ Britt is the Los Angeles Bureau Chief for CBS.MarketWatch.com. Sentence 2: Emily Church is London bureau chief of CBS.MarketWatch.com.\nOutput: 2 - possibly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A woman cuts a pink loaf with a knife. Sentence 2: A man is playing a guitar.\nOutput: 0 - definitely not\n\nInput: Sentence 1: Iran, six global powers sign landmark nuclear deal Sentence 2: Iran, world powers agree nuclear deal\nOutput: 5 - perfectly\n\nInput: Sentence 1: Person with two ski poles skiing down a snowy hill. Sentence 2: A person skiing down a snowy hill.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Putin casts ballot as Russians vote Sentence 2: Putin to win Russia's presidential election\nOutput: 1 - probably not\n\nInput: Sentence 1: Russ Britt is the Los Angeles Bureau Chief for CBS.MarketWatch.com. Sentence 2: Emily Church is London bureau chief of CBS.MarketWatch.com.\nOutput: 2 - possibly" } }, "4": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: and videos Seismic data does not equal duration of collapse. Sentence 2: Seismic data does not equal duration of collapse.\nOutput: 5 - perfectly\n\nInput: Sentence 1: A man is playing a piano. Sentence 2: A man is playing a flute.\nOutput: 2 - possibly\n\nInput: Sentence 1: A herd of deer are crossing the street. Sentence 2: A herd of caribou are crossing a road.\nOutput: 3 - probably\n\nInput: Sentence 1: Children jumping on a trampoline. Sentence 2: A man is sledding on an orange slide.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A man is swinging in a rope. Sentence 2: A gibbon is swinging in the trees.\nOutput: 1 - probably not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: and videos Seismic data does not equal duration of collapse. Sentence 2: Seismic data does not equal duration of collapse.\nOutput: 5 - perfectly\n\nInput: Sentence 1: A man is playing a piano. Sentence 2: A man is playing a flute.\nOutput: 2 - possibly\n\nInput: Sentence 1: A herd of deer are crossing the street. Sentence 2: A herd of caribou are crossing a road.\nOutput: 3 - probably\n\nInput: Sentence 1: Children jumping on a trampoline. Sentence 2: A man is sledding on an orange slide.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A man is swinging in a rope. Sentence 2: A gibbon is swinging in the trees.\nOutput: 1 - probably not" } }, "5": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: 'Grenade attack' kills one and injures at least 11 Sentence 2: Sex attack on woman investigated\nOutput: 0 - definitely not\n\nInput: Sentence 1: Suicide bomber kills policeman in Pakistan Sentence 2: Suicide Bombers Kill 3 Soldiers in Pakistan\nOutput: 3 - probably\n\nInput: Sentence 1: A young woman leans over her plate at a meal. Sentence 2: A young woman, topless except for paint or mud.\nOutput: 1 - probably not\n\nInput: Sentence 1: 23 killed in Iraq car bombings Sentence 2: 10 killed in Iraq bomb attack\nOutput: 2 - possibly\n\nInput: Sentence 1: >Cuba's Castro assumes CELAC presidency Sentence 2: Cuba's Castro to Take Over CELAC Presidency\nOutput: 5 - perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: 'Grenade attack' kills one and injures at least 11 Sentence 2: Sex attack on woman investigated\nOutput: 0 - definitely not\n\nInput: Sentence 1: Suicide bomber kills policeman in Pakistan Sentence 2: Suicide Bombers Kill 3 Soldiers in Pakistan\nOutput: 3 - probably\n\nInput: Sentence 1: A young woman leans over her plate at a meal. Sentence 2: A young woman, topless except for paint or mud.\nOutput: 1 - probably not\n\nInput: Sentence 1: 23 killed in Iraq car bombings Sentence 2: 10 killed in Iraq bomb attack\nOutput: 2 - possibly\n\nInput: Sentence 1: >Cuba's Castro assumes CELAC presidency Sentence 2: Cuba's Castro to Take Over CELAC Presidency\nOutput: 5 - perfectly" } }, "6": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: US believes Syria has probably used chemical weapons Sentence 2: US believes Syrian government used chemical weapons\nOutput: 5 - perfectly\n\nInput: Sentence 1: A young boy is punching a yellow ball. Sentence 2: A small dog jumps over a yellow beam.\nOutput: 0 - definitely not\n\nInput: Sentence 1: Black train on train tracks. Sentence 2: A train on the train tracks.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: An old fashioned wooden sailing ship in the ocean. Sentence 2: A wooden yacht on the ocean.\nOutput: 3 - probably\n\nInput: Sentence 1: A dog is opening a fridge. Sentence 2: A dog closes a refrigerator door.\nOutput: 2 - possibly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: US believes Syria has probably used chemical weapons Sentence 2: US believes Syrian government used chemical weapons\nOutput: 5 - perfectly\n\nInput: Sentence 1: A young boy is punching a yellow ball. Sentence 2: A small dog jumps over a yellow beam.\nOutput: 0 - definitely not\n\nInput: Sentence 1: Black train on train tracks. Sentence 2: A train on the train tracks.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: An old fashioned wooden sailing ship in the ocean. Sentence 2: A wooden yacht on the ocean.\nOutput: 3 - probably\n\nInput: Sentence 1: A dog is opening a fridge. Sentence 2: A dog closes a refrigerator door.\nOutput: 2 - possibly" } }, "7": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Blitzbokke ousted by Fiji Sentence 2: Blitzbokke beaten by NZ\nOutput: 2 - possibly\n\nInput: Sentence 1: A woman is chopping garlic. Sentence 2: A woman slices a fish.\nOutput: 1 - probably not\n\nInput: Sentence 1: A person is slicing some onions. Sentence 2: A hamster is singing.\nOutput: 0 - definitely not\n\nInput: Sentence 1: 9,000 U.S. Marines to leave Okinawa Sentence 2: 9,000 U.S. Marines to move out of Okinawa: statement\nOutput: 5 - perfectly\n\nInput: Sentence 1: A brown horse stands in a lush green field. Sentence 2: A brown horse in a green field.\nOutput: 4 - almost perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Blitzbokke ousted by Fiji Sentence 2: Blitzbokke beaten by NZ\nOutput: 2 - possibly\n\nInput: Sentence 1: A woman is chopping garlic. Sentence 2: A woman slices a fish.\nOutput: 1 - probably not\n\nInput: Sentence 1: A person is slicing some onions. Sentence 2: A hamster is singing.\nOutput: 0 - definitely not\n\nInput: Sentence 1: 9,000 U.S. Marines to leave Okinawa Sentence 2: 9,000 U.S. Marines to move out of Okinawa: statement\nOutput: 5 - perfectly\n\nInput: Sentence 1: A brown horse stands in a lush green field. Sentence 2: A brown horse in a green field.\nOutput: 4 - almost perfectly" } }, "8": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Afghan, US govts sign deal on controversial night raid Sentence 2: Afghans, US sign deal on night raids\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Muslim Brotherhood banned in Egypt Sentence 2: Military holds upper hand in Egypt\nOutput: 1 - probably not\n\nInput: Sentence 1: A man is preparing a hanging rope. Sentence 2: A man is tying a noose.\nOutput: 5 - perfectly\n\nInput: Sentence 1: A girl dances in the rain. Sentence 2: A woman is dancing in the rain.\nOutput: 3 - probably\n\nInput: Sentence 1: Gusmao consolidates power in East Timor elections Sentence 2: Supreme Court possibilities if Romney wins election\nOutput: 0 - definitely not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Afghan, US govts sign deal on controversial night raid Sentence 2: Afghans, US sign deal on night raids\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Muslim Brotherhood banned in Egypt Sentence 2: Military holds upper hand in Egypt\nOutput: 1 - probably not\n\nInput: Sentence 1: A man is preparing a hanging rope. Sentence 2: A man is tying a noose.\nOutput: 5 - perfectly\n\nInput: Sentence 1: A girl dances in the rain. Sentence 2: A woman is dancing in the rain.\nOutput: 3 - probably\n\nInput: Sentence 1: Gusmao consolidates power in East Timor elections Sentence 2: Supreme Court possibilities if Romney wins election\nOutput: 0 - definitely not" } }, "9": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Bangladesh factory owners arrested as death toll nears 350 Sentence 2: Bangladesh factory owners arrested\nOutput: 3 - probably\n\nInput: Sentence 1: A man is mowing a lawn. Sentence 2: A man is mixing.\nOutput: 1 - probably not\n\nInput: Sentence 1: Deaf customers sue Starbucks, say they're mocked Sentence 2: Deaf NY Starbucks patrons sue, say they're mocked\nOutput: 5 - perfectly\n\nInput: Sentence 1: Two men are dancing. Sentence 2: Two women are shopping.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A woman is riding a motorized scooter down a road. Sentence 2: A man is riding a motor scooter.\nOutput: 2 - possibly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Bangladesh factory owners arrested as death toll nears 350 Sentence 2: Bangladesh factory owners arrested\nOutput: 3 - probably\n\nInput: Sentence 1: A man is mowing a lawn. Sentence 2: A man is mixing.\nOutput: 1 - probably not\n\nInput: Sentence 1: Deaf customers sue Starbucks, say they're mocked Sentence 2: Deaf NY Starbucks patrons sue, say they're mocked\nOutput: 5 - perfectly\n\nInput: Sentence 1: Two men are dancing. Sentence 2: Two women are shopping.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A woman is riding a motorized scooter down a road. Sentence 2: A man is riding a motor scooter.\nOutput: 2 - possibly" } }, "10": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Obama queries Turnbull over China port deal Sentence 2: Spanish bulls gore seven to death\nOutput: 0 - definitely not\n\nInput: Sentence 1: Putin sworn in as Russian growth falters Sentence 2: Putin sworn in as Russia's president for 6 years\nOutput: 2 - possibly\n\nInput: Sentence 1: 6 czech hospital employees are charged with human organ trafficking. Sentence 2: the accused will be charged with international drug trafficking.\nOutput: 1 - probably not\n\nInput: Sentence 1: Swiss vote on highest minimum wage Sentence 2: Swiss cast ballots on world's highest minimum wage\nOutput: 5 - perfectly\n\nInput: Sentence 1: A woman is chopping broccoli. Sentence 2: A woman is chopping broccoli with a knife.\nOutput: 4 - almost perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Obama queries Turnbull over China port deal Sentence 2: Spanish bulls gore seven to death\nOutput: 0 - definitely not\n\nInput: Sentence 1: Putin sworn in as Russian growth falters Sentence 2: Putin sworn in as Russia's president for 6 years\nOutput: 2 - possibly\n\nInput: Sentence 1: 6 czech hospital employees are charged with human organ trafficking. Sentence 2: the accused will be charged with international drug trafficking.\nOutput: 1 - probably not\n\nInput: Sentence 1: Swiss vote on highest minimum wage Sentence 2: Swiss cast ballots on world's highest minimum wage\nOutput: 5 - perfectly\n\nInput: Sentence 1: A woman is chopping broccoli. Sentence 2: A woman is chopping broccoli with a knife.\nOutput: 4 - almost perfectly" } }, "11": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Islamists attack north Mali city after suicide bombings Sentence 2: Islamists attack Malian troops in Gao\nOutput: 3 - probably\n\nInput: Sentence 1: A man rides a horse. Sentence 2: A woman rubs a baby's leg.\nOutput: 0 - definitely not\n\nInput: Sentence 1: Tokyo to host 2020 Olympic Games Sentence 2: Wrestling to feature in 2020 Tokyo Olympics\nOutput: 1 - probably not\n\nInput: Sentence 1: In Pakistan, army adamant on fighting the other Taliban Sentence 2: Pak army adamant on fighting the other Taleban\nOutput: 5 - perfectly\n\nInput: Sentence 1: Kids play soccer on a field. Sentence 2: Three boys playing soccer in a field\nOutput: 4 - almost perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Islamists attack north Mali city after suicide bombings Sentence 2: Islamists attack Malian troops in Gao\nOutput: 3 - probably\n\nInput: Sentence 1: A man rides a horse. Sentence 2: A woman rubs a baby's leg.\nOutput: 0 - definitely not\n\nInput: Sentence 1: Tokyo to host 2020 Olympic Games Sentence 2: Wrestling to feature in 2020 Tokyo Olympics\nOutput: 1 - probably not\n\nInput: Sentence 1: In Pakistan, army adamant on fighting the other Taliban Sentence 2: Pak army adamant on fighting the other Taleban\nOutput: 5 - perfectly\n\nInput: Sentence 1: Kids play soccer on a field. Sentence 2: Three boys playing soccer in a field\nOutput: 4 - almost perfectly" } }, "12": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Brazil tied 2-2 by England as Maracana re-opens Sentence 2: Brazil held by England 2-2 as Maracana re-opens\nOutput: 5 - perfectly\n\nInput: Sentence 1: Philippines typhoon death toll feared to hit 7,000 Sentence 2: Philippines typhoon death toll rises above 5,000\nOutput: 3 - probably\n\nInput: Sentence 1: Israel's Peres urges return to peace talks Sentence 2: Gonsalves keeps up pressure on Dom Rep\nOutput: 0 - definitely not\n\nInput: Sentence 1: Golf: Westwood takes lead in Dubai Desert Classic Sentence 2: Westwood in front a Dubai Desert Classic\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: An overweight man is skipping rope. Sentence 2: A young man is dancing.\nOutput: 1 - probably not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Brazil tied 2-2 by England as Maracana re-opens Sentence 2: Brazil held by England 2-2 as Maracana re-opens\nOutput: 5 - perfectly\n\nInput: Sentence 1: Philippines typhoon death toll feared to hit 7,000 Sentence 2: Philippines typhoon death toll rises above 5,000\nOutput: 3 - probably\n\nInput: Sentence 1: Israel's Peres urges return to peace talks Sentence 2: Gonsalves keeps up pressure on Dom Rep\nOutput: 0 - definitely not\n\nInput: Sentence 1: Golf: Westwood takes lead in Dubai Desert Classic Sentence 2: Westwood in front a Dubai Desert Classic\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: An overweight man is skipping rope. Sentence 2: A young man is dancing.\nOutput: 1 - probably not" } }, "13": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Haiti is a shithole. Sentence 2: Haiti has been a shithole.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Moderate tremor in the Central Mediterranean Sentence 2: Iran: Moderate candidate wins presidential vote\nOutput: 0 - definitely not\n\nInput: Sentence 1: Mali's President Hands in Resignation Sentence 2: Mali's President Formally Resigns\nOutput: 5 - perfectly\n\nInput: Sentence 1: New York Stock Exchange to reopen Wednesday Sentence 2: DealBook: Stock Exchanges Prepare to Open\nOutput: 3 - probably\n\nInput: Sentence 1: Singapore shares open 0.83% higher on Wednesday Sentence 2: Singapore shares open 0.06% lower on Tuesday\nOutput: 1 - probably not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Haiti is a shithole. Sentence 2: Haiti has been a shithole.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Moderate tremor in the Central Mediterranean Sentence 2: Iran: Moderate candidate wins presidential vote\nOutput: 0 - definitely not\n\nInput: Sentence 1: Mali's President Hands in Resignation Sentence 2: Mali's President Formally Resigns\nOutput: 5 - perfectly\n\nInput: Sentence 1: New York Stock Exchange to reopen Wednesday Sentence 2: DealBook: Stock Exchanges Prepare to Open\nOutput: 3 - probably\n\nInput: Sentence 1: Singapore shares open 0.83% higher on Wednesday Sentence 2: Singapore shares open 0.06% lower on Tuesday\nOutput: 1 - probably not" } }, "14": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Hostage drama drags on after Alabama school bus shooting Sentence 2: Nevada: 2 dead, 2 hurt in middle school shooting\nOutput: 1 - probably not\n\nInput: Sentence 1: from the year prior. Sentence 2: warmed.C from the year prior.\nOutput: 3 - probably\n\nInput: Sentence 1: At least 18 killed in Iraq mosque bombing Sentence 2: More than 60 killed at Iraq funeral\nOutput: 0 - definitely not\n\nInput: Sentence 1: Man dies in Co Donegal house fire Sentence 2: Woman dies in Co Cork house fire\nOutput: 2 - possibly\n\nInput: Sentence 1: Iraq Backs Egypt Crackdown on Morsi Supporters Sentence 2: Iraq backs Egypt crackdown on Mohamed Morsi supporters\nOutput: 5 - perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Hostage drama drags on after Alabama school bus shooting Sentence 2: Nevada: 2 dead, 2 hurt in middle school shooting\nOutput: 1 - probably not\n\nInput: Sentence 1: from the year prior. Sentence 2: warmed.C from the year prior.\nOutput: 3 - probably\n\nInput: Sentence 1: At least 18 killed in Iraq mosque bombing Sentence 2: More than 60 killed at Iraq funeral\nOutput: 0 - definitely not\n\nInput: Sentence 1: Man dies in Co Donegal house fire Sentence 2: Woman dies in Co Cork house fire\nOutput: 2 - possibly\n\nInput: Sentence 1: Iraq Backs Egypt Crackdown on Morsi Supporters Sentence 2: Iraq backs Egypt crackdown on Mohamed Morsi supporters\nOutput: 5 - perfectly" } }, "15": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A girl is styling her hair. Sentence 2: A girl is filing her nails.\nOutput: 1 - probably not\n\nInput: Sentence 1: Exclusive-UPDATE 2-Egypt pro-Mursi alliance signals flexibility in talks Sentence 2: EXCLUSIVE-UPDATE 1-Egypt pro-Mursi alliance signals flexibility in talks\nOutput: 5 - perfectly\n\nInput: Sentence 1: No Thatcherite can ever call themselves a libertarian. Sentence 2: Ergo it offends me when Thatcherites call themselves libertarian.\nOutput: 2 - possibly\n\nInput: Sentence 1: A clear plastic chair in front of a bookcase. Sentence 2: a clear plastic chair in front of book shelves.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: A wooden bicycle with an awning. Sentence 2: A group of elderly people sitting around a dining table.\nOutput: 0 - definitely not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A girl is styling her hair. Sentence 2: A girl is filing her nails.\nOutput: 1 - probably not\n\nInput: Sentence 1: Exclusive-UPDATE 2-Egypt pro-Mursi alliance signals flexibility in talks Sentence 2: EXCLUSIVE-UPDATE 1-Egypt pro-Mursi alliance signals flexibility in talks\nOutput: 5 - perfectly\n\nInput: Sentence 1: No Thatcherite can ever call themselves a libertarian. Sentence 2: Ergo it offends me when Thatcherites call themselves libertarian.\nOutput: 2 - possibly\n\nInput: Sentence 1: A clear plastic chair in front of a bookcase. Sentence 2: a clear plastic chair in front of book shelves.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: A wooden bicycle with an awning. Sentence 2: A group of elderly people sitting around a dining table.\nOutput: 0 - definitely not" } }, "16": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A man is buttering a piece of bread. Sentence 2: A man is applying butter to bread.\nOutput: 5 - perfectly\n\nInput: Sentence 1: A man is putting a pan into an oven. Sentence 2: A woman is cutting an onion.\nOutput: 1 - probably not\n\nInput: Sentence 1: china is an important force for safeguarding world peace. Sentence 2: china is an important force for promoting world development.\nOutput: 3 - probably\n\nInput: Sentence 1: Israel among top arms exporters in world: report Sentence 2: Israel among top arms exporters and importers\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Zen Report: Ain't easy being high maintenance Sentence 2: Russian meteorite leaves building gaping open\nOutput: 0 - definitely not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A man is buttering a piece of bread. Sentence 2: A man is applying butter to bread.\nOutput: 5 - perfectly\n\nInput: Sentence 1: A man is putting a pan into an oven. Sentence 2: A woman is cutting an onion.\nOutput: 1 - probably not\n\nInput: Sentence 1: china is an important force for safeguarding world peace. Sentence 2: china is an important force for promoting world development.\nOutput: 3 - probably\n\nInput: Sentence 1: Israel among top arms exporters in world: report Sentence 2: Israel among top arms exporters and importers\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Zen Report: Ain't easy being high maintenance Sentence 2: Russian meteorite leaves building gaping open\nOutput: 0 - definitely not" } }, "17": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A man is drawing a picture. Sentence 2: A person is drawing.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Five convicted in Kosovo organ trafficking case Sentence 2: Kosovo: 3 get jail time in organ trafficking case\nOutput: 3 - probably\n\nInput: Sentence 1: Iran, a large important partner for Russia: Novak Sentence 2: Iran reiterates support for Iraq, Syria\nOutput: 0 - definitely not\n\nInput: Sentence 1: A mostly black train on a track. Sentence 2: A car parked in front of train tracks.\nOutput: 1 - probably not\n\nInput: Sentence 1: Mandela spends third day in hospital Sentence 2: Mandela in Hospital for 3rd Day\nOutput: 5 - perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A man is drawing a picture. Sentence 2: A person is drawing.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Five convicted in Kosovo organ trafficking case Sentence 2: Kosovo: 3 get jail time in organ trafficking case\nOutput: 3 - probably\n\nInput: Sentence 1: Iran, a large important partner for Russia: Novak Sentence 2: Iran reiterates support for Iraq, Syria\nOutput: 0 - definitely not\n\nInput: Sentence 1: A mostly black train on a track. Sentence 2: A car parked in front of train tracks.\nOutput: 1 - probably not\n\nInput: Sentence 1: Mandela spends third day in hospital Sentence 2: Mandela in Hospital for 3rd Day\nOutput: 5 - perfectly" } }, "18": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Australia leader ousted in snap leadership vote Sentence 2: Australian PM Gillard ousted in leadership vote\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Guinea votes in long-delayed legislative poll Sentence 2: Equatoguineans vote in legislative polls\nOutput: 3 - probably\n\nInput: Sentence 1: A society fraying at the edges Sentence 2: Old TV alignments crack at the edges\nOutput: 0 - definitely not\n\nInput: Sentence 1: Hollande wins French presidential election Sentence 2: East Timor votes in presidential election\nOutput: 2 - possibly\n\nInput: Sentence 1: Australia returns asylum seekers to Sri Lanka in sea transfer Sentence 2: Australia: Australia hands asylum-seekers back to Sri Lanka\nOutput: 5 - perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Australia leader ousted in snap leadership vote Sentence 2: Australian PM Gillard ousted in leadership vote\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Guinea votes in long-delayed legislative poll Sentence 2: Equatoguineans vote in legislative polls\nOutput: 3 - probably\n\nInput: Sentence 1: A society fraying at the edges Sentence 2: Old TV alignments crack at the edges\nOutput: 0 - definitely not\n\nInput: Sentence 1: Hollande wins French presidential election Sentence 2: East Timor votes in presidential election\nOutput: 2 - possibly\n\nInput: Sentence 1: Australia returns asylum seekers to Sri Lanka in sea transfer Sentence 2: Australia: Australia hands asylum-seekers back to Sri Lanka\nOutput: 5 - perfectly" } }, "19": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Egypt courts hear cases against Mubarak, Islamists Sentence 2: Egypt court temporarily releases Mubarak over illicit gains\nOutput: 2 - possibly\n\nInput: Sentence 1: Shooting, protests mar Thai voting Sentence 2: Thai protesters disrupt advance voting\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: A man is dieing in an operating room. Sentence 2: A man is kissing a woman in stage.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A woman peels a potato. Sentence 2: A woman is peeling a potato.\nOutput: 5 - perfectly\n\nInput: Sentence 1: A man is dangling a mouse near a snake. Sentence 2: A man is feeding a mice to a snake.\nOutput: 3 - probably\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Egypt courts hear cases against Mubarak, Islamists Sentence 2: Egypt court temporarily releases Mubarak over illicit gains\nOutput: 2 - possibly\n\nInput: Sentence 1: Shooting, protests mar Thai voting Sentence 2: Thai protesters disrupt advance voting\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: A man is dieing in an operating room. Sentence 2: A man is kissing a woman in stage.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A woman peels a potato. Sentence 2: A woman is peeling a potato.\nOutput: 5 - perfectly\n\nInput: Sentence 1: A man is dangling a mouse near a snake. Sentence 2: A man is feeding a mice to a snake.\nOutput: 3 - probably" } }, "20": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: India accuses China of crossing de facto border Sentence 2: Senate, House on collision course on border money\nOutput: 1 - probably not\n\nInput: Sentence 1: A train is on the railroad tracks. Sentence 2: A train on the train tracks.\nOutput: 5 - perfectly\n\nInput: Sentence 1: US drone kills six militants in Pakistan: officials Sentence 2: US missiles kill 15 in Pakistan: officials\nOutput: 2 - possibly\n\nInput: Sentence 1: North Korea test fires 30 missiles into the sea Sentence 2: N Korea 'fires 100 shells' into the sea\nOutput: 3 - probably\n\nInput: Sentence 1: Two dogs share a toy in a field of vegetation. Sentence 2: Two snowboarders are in the air over the snow.\nOutput: 0 - definitely not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: India accuses China of crossing de facto border Sentence 2: Senate, House on collision course on border money\nOutput: 1 - probably not\n\nInput: Sentence 1: A train is on the railroad tracks. Sentence 2: A train on the train tracks.\nOutput: 5 - perfectly\n\nInput: Sentence 1: US drone kills six militants in Pakistan: officials Sentence 2: US missiles kill 15 in Pakistan: officials\nOutput: 2 - possibly\n\nInput: Sentence 1: North Korea test fires 30 missiles into the sea Sentence 2: N Korea 'fires 100 shells' into the sea\nOutput: 3 - probably\n\nInput: Sentence 1: Two dogs share a toy in a field of vegetation. Sentence 2: Two snowboarders are in the air over the snow.\nOutput: 0 - definitely not" } }, "21": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Someone is holding a hedgehog. Sentence 2: A onion is being sliced.\nOutput: 0 - definitely not\n\nInput: Sentence 1: Chicago teachers strike: Vacations for students, for good or ill Sentence 2: Chicago teacher strike poses test for unions\nOutput: 2 - possibly\n\nInput: Sentence 1: Prince Charles 'compares Putin to Hitler' Sentence 2: Prince Charles 'compares Vladimir Putin to Adolf Hitler'\nOutput: 5 - perfectly\n\nInput: Sentence 1: A small bird eating from the feeder. Sentence 2: Bird eating from a bird feeder.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Heavy Fighting Reported in Syria's Aleppo Sentence 2: Heavy fighting reported in Damascus\nOutput: 1 - probably not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Someone is holding a hedgehog. Sentence 2: A onion is being sliced.\nOutput: 0 - definitely not\n\nInput: Sentence 1: Chicago teachers strike: Vacations for students, for good or ill Sentence 2: Chicago teacher strike poses test for unions\nOutput: 2 - possibly\n\nInput: Sentence 1: Prince Charles 'compares Putin to Hitler' Sentence 2: Prince Charles 'compares Vladimir Putin to Adolf Hitler'\nOutput: 5 - perfectly\n\nInput: Sentence 1: A small bird eating from the feeder. Sentence 2: Bird eating from a bird feeder.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Heavy Fighting Reported in Syria's Aleppo Sentence 2: Heavy fighting reported in Damascus\nOutput: 1 - probably not" } }, "22": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Russian coal mines seek new outlets in China Sentence 2: Russian foreign minister to meet UN chief\nOutput: 0 - definitely not\n\nInput: Sentence 1: U.S. drone strike kills 5 in Pakistan Sentence 2: Pakistan drone strike kills up to six\nOutput: 3 - probably\n\nInput: Sentence 1: Putin signs Crimea annexe treaty Sentence 2: 09:32 Putin signs off Crimea annexation\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Chinese icebreaker changes course towards suspicious objects Sentence 2: Chinese search plane finds 'suspicious objects'\nOutput: 2 - possibly\n\nInput: Sentence 1: Napolitano elected for second term as Italy president Sentence 2: Italian President Napolitano elected for second term\nOutput: 5 - perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Russian coal mines seek new outlets in China Sentence 2: Russian foreign minister to meet UN chief\nOutput: 0 - definitely not\n\nInput: Sentence 1: U.S. drone strike kills 5 in Pakistan Sentence 2: Pakistan drone strike kills up to six\nOutput: 3 - probably\n\nInput: Sentence 1: Putin signs Crimea annexe treaty Sentence 2: 09:32 Putin signs off Crimea annexation\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Chinese icebreaker changes course towards suspicious objects Sentence 2: Chinese search plane finds 'suspicious objects'\nOutput: 2 - possibly\n\nInput: Sentence 1: Napolitano elected for second term as Italy president Sentence 2: Italian President Napolitano elected for second term\nOutput: 5 - perfectly" } }, "23": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: South Korea Says North Fired Missiles Sentence 2: North Korea launches short-range missiles\nOutput: 2 - possibly\n\nInput: Sentence 1: One dead in new Israeli strike on Gaza Sentence 2: Two killed in new Israeli strike on Gaza: medics\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Ebola UK: NHS staff 'panicked' after suspected Ebola cases Sentence 2: UK says investigating 2 suspected MERS cases\nOutput: 0 - definitely not\n\nInput: Sentence 1: The woman is playing the flute. Sentence 2: A woman is playing a flute.\nOutput: 5 - perfectly\n\nInput: Sentence 1: EU, Myanmar work toward investment protection agreement Sentence 2: China no longer top investment destination: poll\nOutput: 1 - probably not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: South Korea Says North Fired Missiles Sentence 2: North Korea launches short-range missiles\nOutput: 2 - possibly\n\nInput: Sentence 1: One dead in new Israeli strike on Gaza Sentence 2: Two killed in new Israeli strike on Gaza: medics\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Ebola UK: NHS staff 'panicked' after suspected Ebola cases Sentence 2: UK says investigating 2 suspected MERS cases\nOutput: 0 - definitely not\n\nInput: Sentence 1: The woman is playing the flute. Sentence 2: A woman is playing a flute.\nOutput: 5 - perfectly\n\nInput: Sentence 1: EU, Myanmar work toward investment protection agreement Sentence 2: China no longer top investment destination: poll\nOutput: 1 - probably not" } }, "24": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A white dog running on sand. Sentence 2: A white dog runs on the sand.\nOutput: 5 - perfectly\n\nInput: Sentence 1: A white animal running through snow covered woods. Sentence 2: A white dog runs through a snow covered wood.\nOutput: 3 - probably\n\nInput: Sentence 1: Two teams are playing soccer. Sentence 2: Different sets of teams are playing football on a field.\nOutput: 2 - possibly\n\nInput: Sentence 1: Germany Likely to Press Russia on Syrian Crisis Sentence 2: What is Russia thinking on Syria? A brief guide\nOutput: 1 - probably not\n\nInput: Sentence 1: A train sitting on the tracks near a field. Sentence 2: A baby is sitting in the grass.\nOutput: 0 - definitely not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A white dog running on sand. Sentence 2: A white dog runs on the sand.\nOutput: 5 - perfectly\n\nInput: Sentence 1: A white animal running through snow covered woods. Sentence 2: A white dog runs through a snow covered wood.\nOutput: 3 - probably\n\nInput: Sentence 1: Two teams are playing soccer. Sentence 2: Different sets of teams are playing football on a field.\nOutput: 2 - possibly\n\nInput: Sentence 1: Germany Likely to Press Russia on Syrian Crisis Sentence 2: What is Russia thinking on Syria? A brief guide\nOutput: 1 - probably not\n\nInput: Sentence 1: A train sitting on the tracks near a field. Sentence 2: A baby is sitting in the grass.\nOutput: 0 - definitely not" } }, "25": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: North Korea blocks access to joint industrial zone Sentence 2: North Korea Blocks Access to Key Industrial Zone\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Iran, atomic agency in first talks since Rowhani election Sentence 2: IAEA, Iran to hold first nuclear talks since Rohani election\nOutput: 5 - perfectly\n\nInput: Sentence 1: A girl with a red bag standing on the street. Sentence 2: A black dog is staring at a sheep.\nOutput: 0 - definitely not\n\nInput: Sentence 1: 6 Killed by Hot Lava as Indonesia Volcano Erupts Sentence 2: Five dead in Indonesian eruption\nOutput: 3 - probably\n\nInput: Sentence 1: A man is carrying another man. Sentence 2: A man sprays another man with water from a hose.\nOutput: 1 - probably not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: North Korea blocks access to joint industrial zone Sentence 2: North Korea Blocks Access to Key Industrial Zone\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Iran, atomic agency in first talks since Rowhani election Sentence 2: IAEA, Iran to hold first nuclear talks since Rohani election\nOutput: 5 - perfectly\n\nInput: Sentence 1: A girl with a red bag standing on the street. Sentence 2: A black dog is staring at a sheep.\nOutput: 0 - definitely not\n\nInput: Sentence 1: 6 Killed by Hot Lava as Indonesia Volcano Erupts Sentence 2: Five dead in Indonesian eruption\nOutput: 3 - probably\n\nInput: Sentence 1: A man is carrying another man. Sentence 2: A man sprays another man with water from a hose.\nOutput: 1 - probably not" } }, "26": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Rick Santorum wins Kansas caucuses Sentence 2: Rick Santorum notches a victory in Kansas caucuses\nOutput: 5 - perfectly\n\nInput: Sentence 1: More rain hampers Indian flood rescue Sentence 2: US tourist gang-raped in northern India: Police\nOutput: 0 - definitely not\n\nInput: Sentence 1: A group of sheep in a field. Sentence 2: A group of horses grazing in a field.\nOutput: 2 - possibly\n\nInput: Sentence 1: Sierra Leone in Ebola lockdown Sentence 2: Sierra Leone Reaches Final Day of Ebola Lockdown\nOutput: 3 - probably\n\nInput: Sentence 1: Amnesty: Syria rebels also committing abuses Sentence 2: Amnesty investigator: Syria rebels also committing abuses\nOutput: 4 - almost perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Rick Santorum wins Kansas caucuses Sentence 2: Rick Santorum notches a victory in Kansas caucuses\nOutput: 5 - perfectly\n\nInput: Sentence 1: More rain hampers Indian flood rescue Sentence 2: US tourist gang-raped in northern India: Police\nOutput: 0 - definitely not\n\nInput: Sentence 1: A group of sheep in a field. Sentence 2: A group of horses grazing in a field.\nOutput: 2 - possibly\n\nInput: Sentence 1: Sierra Leone in Ebola lockdown Sentence 2: Sierra Leone Reaches Final Day of Ebola Lockdown\nOutput: 3 - probably\n\nInput: Sentence 1: Amnesty: Syria rebels also committing abuses Sentence 2: Amnesty investigator: Syria rebels also committing abuses\nOutput: 4 - almost perfectly" } }, "27": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Someone is peeling a potato. Sentence 2: Someone is slicing a tomato.\nOutput: 1 - probably not\n\nInput: Sentence 1: Syria 'to declare chemical weapons and sign convention' Sentence 2: Russia, Syria Work on 'Concrete' Chemical Weapons Plan\nOutput: 3 - probably\n\nInput: Sentence 1: Air strikes kills dozens in northern Syria Sentence 2: Ukraine will not give 'an inch' over Crimea\nOutput: 0 - definitely not\n\nInput: Sentence 1: Philippines, rebels reach wealth-sharing deal Sentence 2: Philippines and rebels reach 'wealth deal'\nOutput: 5 - perfectly\n\nInput: Sentence 1: A black dog running in the snow. Sentence 2: A black dog running on a beach.\nOutput: 2 - possibly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Someone is peeling a potato. Sentence 2: Someone is slicing a tomato.\nOutput: 1 - probably not\n\nInput: Sentence 1: Syria 'to declare chemical weapons and sign convention' Sentence 2: Russia, Syria Work on 'Concrete' Chemical Weapons Plan\nOutput: 3 - probably\n\nInput: Sentence 1: Air strikes kills dozens in northern Syria Sentence 2: Ukraine will not give 'an inch' over Crimea\nOutput: 0 - definitely not\n\nInput: Sentence 1: Philippines, rebels reach wealth-sharing deal Sentence 2: Philippines and rebels reach 'wealth deal'\nOutput: 5 - perfectly\n\nInput: Sentence 1: A black dog running in the snow. Sentence 2: A black dog running on a beach.\nOutput: 2 - possibly" } }, "28": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The cat is drinking milk. Sentence 2: A cat is licking from a saucer of milk.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: A man is eating wood. Sentence 2: A man is adding oil to car.\nOutput: 0 - definitely not\n\nInput: Sentence 1: It's not imposing morals. Sentence 2: It's imposing a law.\nOutput: 1 - probably not\n\nInput: Sentence 1: A dog shaking off water. Sentence 2: A dog shaking water off.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Building collapses in India; 25 feared trapped Sentence 2: India building collapse kills 14; dozens trapped\nOutput: 3 - probably\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The cat is drinking milk. Sentence 2: A cat is licking from a saucer of milk.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: A man is eating wood. Sentence 2: A man is adding oil to car.\nOutput: 0 - definitely not\n\nInput: Sentence 1: It's not imposing morals. Sentence 2: It's imposing a law.\nOutput: 1 - probably not\n\nInput: Sentence 1: A dog shaking off water. Sentence 2: A dog shaking water off.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Building collapses in India; 25 feared trapped Sentence 2: India building collapse kills 14; dozens trapped\nOutput: 3 - probably" } }, "29": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Meat is dropped into a pan. Sentence 2: A woman is putting meat in a pan.\nOutput: 3 - probably\n\nInput: Sentence 1: A man is playing the guitar. Sentence 2: A man is playing the drums.\nOutput: 2 - possibly\n\nInput: Sentence 1: U.S. drone strike kills 10 in northwest Pakistan Sentence 2: US drone in Pakistan kills 10 suspected militants\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Three die after car crash at Tian'anmen Sentence 2: Three Killed In Crash At Tiananmen Square\nOutput: 5 - perfectly\n\nInput: Sentence 1: France to ban child beauty pageants Sentence 2: Facebook to test mobile payments service\nOutput: 0 - definitely not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Meat is dropped into a pan. Sentence 2: A woman is putting meat in a pan.\nOutput: 3 - probably\n\nInput: Sentence 1: A man is playing the guitar. Sentence 2: A man is playing the drums.\nOutput: 2 - possibly\n\nInput: Sentence 1: U.S. drone strike kills 10 in northwest Pakistan Sentence 2: US drone in Pakistan kills 10 suspected militants\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Three die after car crash at Tian'anmen Sentence 2: Three Killed In Crash At Tiananmen Square\nOutput: 5 - perfectly\n\nInput: Sentence 1: France to ban child beauty pageants Sentence 2: Facebook to test mobile payments service\nOutput: 0 - definitely not" } }, "30": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Woman killed by falling debris Sentence 2: When an ally declines\nOutput: 0 - definitely not\n\nInput: Sentence 1: Asian shares rally after string of upbeat data Sentence 2: Asian Markets up on Strong US Jobs Data\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Man sets himself on fire at Breivik trial Sentence 2: Man sets self afire outside Breivik trial\nOutput: 5 - perfectly\n\nInput: Sentence 1: US, allies to set demands for Iran nuclear talks Sentence 2: 'Iran won't accept pre-conditions to nuclear talks'\nOutput: 2 - possibly\n\nInput: Sentence 1: A child is jumping into a swimming pool. Sentence 2: A dog jumping into a swimming pool.\nOutput: 1 - probably not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Woman killed by falling debris Sentence 2: When an ally declines\nOutput: 0 - definitely not\n\nInput: Sentence 1: Asian shares rally after string of upbeat data Sentence 2: Asian Markets up on Strong US Jobs Data\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Man sets himself on fire at Breivik trial Sentence 2: Man sets self afire outside Breivik trial\nOutput: 5 - perfectly\n\nInput: Sentence 1: US, allies to set demands for Iran nuclear talks Sentence 2: 'Iran won't accept pre-conditions to nuclear talks'\nOutput: 2 - possibly\n\nInput: Sentence 1: A child is jumping into a swimming pool. Sentence 2: A dog jumping into a swimming pool.\nOutput: 1 - probably not" } }, "31": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: German parliament overwhelmingly backs Greek rescue deal Sentence 2: German parliament endorses Greek bailout\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: A man is slicing cucumber with a knife. Sentence 2: A man is cooking a tortilla in a skillet.\nOutput: 1 - probably not\n\nInput: Sentence 1: A dog jumps over a chain. Sentence 2: A dog leaping over a chain.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Gunmen ambush police boat in Nigeria oil region Sentence 2: Sudanese police block protest at human rights commission\nOutput: 0 - definitely not\n\nInput: Sentence 1: The dining room table gets some afternoon sun. Sentence 2: Dining room with wooden dining table set with playmates.\nOutput: 2 - possibly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: German parliament overwhelmingly backs Greek rescue deal Sentence 2: German parliament endorses Greek bailout\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: A man is slicing cucumber with a knife. Sentence 2: A man is cooking a tortilla in a skillet.\nOutput: 1 - probably not\n\nInput: Sentence 1: A dog jumps over a chain. Sentence 2: A dog leaping over a chain.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Gunmen ambush police boat in Nigeria oil region Sentence 2: Sudanese police block protest at human rights commission\nOutput: 0 - definitely not\n\nInput: Sentence 1: The dining room table gets some afternoon sun. Sentence 2: Dining room with wooden dining table set with playmates.\nOutput: 2 - possibly" } }, "32": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: EU ministers 'determined' to resolve horsemeat scandal Sentence 2: EU ministers hold crisis talks over horse meat scandal\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: US military presence in East Asia Sentence 2: NATO ups military presence amid Russian threat\nOutput: 1 - probably not\n\nInput: Sentence 1: A woman is peeling a potato. Sentence 2: A lion is walking around.\nOutput: 0 - definitely not\n\nInput: Sentence 1: The woman holding a black purse is smoking a cigarette. Sentence 2: A woman with a black bag is smoking a cigarette\nOutput: 5 - perfectly\n\nInput: Sentence 1: Iran says UN nuclear talks will continue Sentence 2: Iran says nuclear talks with UN 'constructive'\nOutput: 3 - probably\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: EU ministers 'determined' to resolve horsemeat scandal Sentence 2: EU ministers hold crisis talks over horse meat scandal\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: US military presence in East Asia Sentence 2: NATO ups military presence amid Russian threat\nOutput: 1 - probably not\n\nInput: Sentence 1: A woman is peeling a potato. Sentence 2: A lion is walking around.\nOutput: 0 - definitely not\n\nInput: Sentence 1: The woman holding a black purse is smoking a cigarette. Sentence 2: A woman with a black bag is smoking a cigarette\nOutput: 5 - perfectly\n\nInput: Sentence 1: Iran says UN nuclear talks will continue Sentence 2: Iran says nuclear talks with UN 'constructive'\nOutput: 3 - probably" } }, "33": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A man is slicing vegetables. Sentence 2: A woman is slicing a potato.\nOutput: 2 - possibly\n\nInput: Sentence 1: two puppies playing around in the grass Sentence 2: Two puppies play in the grass\nOutput: 5 - perfectly\n\nInput: Sentence 1: EU ministers 'determined' to resolve horsemeat scandal Sentence 2: EU ministers hold crisis talks over horse meat scandal\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Chinese premier meets Indian vice president Sentence 2: Hezbollah urges to elect new Lebanese president\nOutput: 0 - definitely not\n\nInput: Sentence 1: The person lit the cameras on fire. Sentence 2: A person is blow torching cameras.\nOutput: 3 - probably\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A man is slicing vegetables. Sentence 2: A woman is slicing a potato.\nOutput: 2 - possibly\n\nInput: Sentence 1: two puppies playing around in the grass Sentence 2: Two puppies play in the grass\nOutput: 5 - perfectly\n\nInput: Sentence 1: EU ministers 'determined' to resolve horsemeat scandal Sentence 2: EU ministers hold crisis talks over horse meat scandal\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Chinese premier meets Indian vice president Sentence 2: Hezbollah urges to elect new Lebanese president\nOutput: 0 - definitely not\n\nInput: Sentence 1: The person lit the cameras on fire. Sentence 2: A person is blow torching cameras.\nOutput: 3 - probably" } }, "34": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A monkey is walking through the water. Sentence 2: A guy is playing a trumpet.\nOutput: 0 - definitely not\n\nInput: Sentence 1: Turkish search ends as last missing miners found Sentence 2: Turkish Search Ends as Last Missing Miners Found\nOutput: 5 - perfectly\n\nInput: Sentence 1: Matt Smith to leave Doctor Who after 4 years Sentence 2: Matt Smith quits BBC’s Doctor Who\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Nigeria admits slow response in Ebola case Sentence 2: US ramps up response to Ebola crisis\nOutput: 1 - probably not\n\nInput: Sentence 1: Pakistan condemns US drone strike in Shawal Area Sentence 2: Pakistan condemns US drone strike in Miranshah\nOutput: 3 - probably\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A monkey is walking through the water. Sentence 2: A guy is playing a trumpet.\nOutput: 0 - definitely not\n\nInput: Sentence 1: Turkish search ends as last missing miners found Sentence 2: Turkish Search Ends as Last Missing Miners Found\nOutput: 5 - perfectly\n\nInput: Sentence 1: Matt Smith to leave Doctor Who after 4 years Sentence 2: Matt Smith quits BBC’s Doctor Who\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Nigeria admits slow response in Ebola case Sentence 2: US ramps up response to Ebola crisis\nOutput: 1 - probably not\n\nInput: Sentence 1: Pakistan condemns US drone strike in Shawal Area Sentence 2: Pakistan condemns US drone strike in Miranshah\nOutput: 3 - probably" } }, "35": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A person is folding a piece of paper. Sentence 2: Someone is folding a piece of paper.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Someone slices a bottle with a sword. Sentence 2: A man breaks a bottle with a sword.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Australian among four on plane missing in Indonesia Sentence 2: Iranian painter Mansoureh Hosseini dies\nOutput: 0 - definitely not\n\nInput: Sentence 1: The whole earth combined produces enough food for billion people. Sentence 2: Who does it now only produce enough for billion?\nOutput: 2 - possibly\n\nInput: Sentence 1: A lion is playing with people. Sentence 2: A lion is playing with two men.\nOutput: 3 - probably\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A person is folding a piece of paper. Sentence 2: Someone is folding a piece of paper.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Someone slices a bottle with a sword. Sentence 2: A man breaks a bottle with a sword.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Australian among four on plane missing in Indonesia Sentence 2: Iranian painter Mansoureh Hosseini dies\nOutput: 0 - definitely not\n\nInput: Sentence 1: The whole earth combined produces enough food for billion people. Sentence 2: Who does it now only produce enough for billion?\nOutput: 2 - possibly\n\nInput: Sentence 1: A lion is playing with people. Sentence 2: A lion is playing with two men.\nOutput: 3 - probably" } }, "36": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Operation Chaos is merely people voting. Sentence 2: Chaos is merely people voting.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Hurricane Sandy makes landfall in southeastern Jamaica: NHC Sentence 2: Hurricane Sandy reaches Jamaica\nOutput: 3 - probably\n\nInput: Sentence 1: Dozens injured in Connecticut train collision Sentence 2: Indian minister killed in head-on collision\nOutput: 0 - definitely not\n\nInput: Sentence 1: and videos Seismic data does not equal duration of collapse. Sentence 2: Seismic data does not equal duration of collapse.\nOutput: 5 - perfectly\n\nInput: Sentence 1: A man and a woman talk in a diner. Sentence 2: A man and a woman are riding on a bicycle.\nOutput: 1 - probably not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Operation Chaos is merely people voting. Sentence 2: Chaos is merely people voting.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Hurricane Sandy makes landfall in southeastern Jamaica: NHC Sentence 2: Hurricane Sandy reaches Jamaica\nOutput: 3 - probably\n\nInput: Sentence 1: Dozens injured in Connecticut train collision Sentence 2: Indian minister killed in head-on collision\nOutput: 0 - definitely not\n\nInput: Sentence 1: and videos Seismic data does not equal duration of collapse. Sentence 2: Seismic data does not equal duration of collapse.\nOutput: 5 - perfectly\n\nInput: Sentence 1: A man and a woman talk in a diner. Sentence 2: A man and a woman are riding on a bicycle.\nOutput: 1 - probably not" } }, "37": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The gloves are off, said UNIFI official Rob O'Neill. Sentence 2: Unifi official Rob O'Neill said: \"The gloves are off.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Ukrainian President orders 7-day ceasefire in the east Sentence 2: Uganda's President Museveni agrees to sign anti-gays Bill\nOutput: 0 - definitely not\n\nInput: Sentence 1: U.S., EU Cautiously Welcome Iran's Proposal To Restart Nuclear Talks Sentence 2: U.S., EU welcome Iran's offer to restart nuclear talks\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Death toll in Nigeria police attack rises to 30 Sentence 2: Death toll in Kenya bus attack rises to six\nOutput: 1 - probably not\n\nInput: Sentence 1: A group of people standing outside of a building. Sentence 2: A large group of people have formed a line outside.\nOutput: 3 - probably\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The gloves are off, said UNIFI official Rob O'Neill. Sentence 2: Unifi official Rob O'Neill said: \"The gloves are off.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Ukrainian President orders 7-day ceasefire in the east Sentence 2: Uganda's President Museveni agrees to sign anti-gays Bill\nOutput: 0 - definitely not\n\nInput: Sentence 1: U.S., EU Cautiously Welcome Iran's Proposal To Restart Nuclear Talks Sentence 2: U.S., EU welcome Iran's offer to restart nuclear talks\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Death toll in Nigeria police attack rises to 30 Sentence 2: Death toll in Kenya bus attack rises to six\nOutput: 1 - probably not\n\nInput: Sentence 1: A group of people standing outside of a building. Sentence 2: A large group of people have formed a line outside.\nOutput: 3 - probably" } }, "38": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A man is climbing a rope. Sentence 2: A man climbs up a rope.\nOutput: 5 - perfectly\n\nInput: Sentence 1: 6.3-magnitude earthquake hits Taiwan Sentence 2: 7.7-magnitude earthquake hits SW Pakistan\nOutput: 1 - probably not\n\nInput: Sentence 1: A cat is playing. Sentence 2: A woman is playing flute.\nOutput: 0 - definitely not\n\nInput: Sentence 1: US drone strike kills six in Pakistan officials Sentence 2: U.S. drone kills 4 militants in Pakistan\nOutput: 3 - probably\n\nInput: Sentence 1: Israeli envoys summoned over settlement plans Sentence 2: Britain summons Israeli envoy over settlements\nOutput: 2 - possibly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A man is climbing a rope. Sentence 2: A man climbs up a rope.\nOutput: 5 - perfectly\n\nInput: Sentence 1: 6.3-magnitude earthquake hits Taiwan Sentence 2: 7.7-magnitude earthquake hits SW Pakistan\nOutput: 1 - probably not\n\nInput: Sentence 1: A cat is playing. Sentence 2: A woman is playing flute.\nOutput: 0 - definitely not\n\nInput: Sentence 1: US drone strike kills six in Pakistan officials Sentence 2: U.S. drone kills 4 militants in Pakistan\nOutput: 3 - probably\n\nInput: Sentence 1: Israeli envoys summoned over settlement plans Sentence 2: Britain summons Israeli envoy over settlements\nOutput: 2 - possibly" } }, "39": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Motor Racing: Button fastest in year's first F1 practice Sentence 2: Button boasts best time after first practice\nOutput: 3 - probably\n\nInput: Sentence 1: A dog in in a car. Sentence 2: A dog is biting a mop.\nOutput: 1 - probably not\n\nInput: Sentence 1: Two puppies are playing with each other. Sentence 2: Some men are playing soccer.\nOutput: 0 - definitely not\n\nInput: Sentence 1: New sex claim hits Secret Service Sentence 2: New rules for US Secret Service\nOutput: 2 - possibly\n\nInput: Sentence 1: Thai opposition party to boycott general election Sentence 2: Thai opposition announces election boycott\nOutput: 5 - perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Motor Racing: Button fastest in year's first F1 practice Sentence 2: Button boasts best time after first practice\nOutput: 3 - probably\n\nInput: Sentence 1: A dog in in a car. Sentence 2: A dog is biting a mop.\nOutput: 1 - probably not\n\nInput: Sentence 1: Two puppies are playing with each other. Sentence 2: Some men are playing soccer.\nOutput: 0 - definitely not\n\nInput: Sentence 1: New sex claim hits Secret Service Sentence 2: New rules for US Secret Service\nOutput: 2 - possibly\n\nInput: Sentence 1: Thai opposition party to boycott general election Sentence 2: Thai opposition announces election boycott\nOutput: 5 - perfectly" } }, "40": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Syria envoy says no peace talks without opposition Sentence 2: Syria: Cameron and Obama move west closer to intervention\nOutput: 1 - probably not\n\nInput: Sentence 1: Car bomb kills 20 in northwest Syria Sentence 2: Car bomb in northern Syria kills 20\nOutput: 5 - perfectly\n\nInput: Sentence 1: Palestinians 'hit' by Israeli fire in Gaza Sentence 2: Two Palestinians Killed in an Israeli Air Strike on Gaza\nOutput: 3 - probably\n\nInput: Sentence 1: A black table with white fuzzy chair. Sentence 2: A woman with her child.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A group of four children dancing in a backyard. Sentence 2: A group of children do stretches on colored mats.\nOutput: 2 - possibly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Syria envoy says no peace talks without opposition Sentence 2: Syria: Cameron and Obama move west closer to intervention\nOutput: 1 - probably not\n\nInput: Sentence 1: Car bomb kills 20 in northwest Syria Sentence 2: Car bomb in northern Syria kills 20\nOutput: 5 - perfectly\n\nInput: Sentence 1: Palestinians 'hit' by Israeli fire in Gaza Sentence 2: Two Palestinians Killed in an Israeli Air Strike on Gaza\nOutput: 3 - probably\n\nInput: Sentence 1: A black table with white fuzzy chair. Sentence 2: A woman with her child.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A group of four children dancing in a backyard. Sentence 2: A group of children do stretches on colored mats.\nOutput: 2 - possibly" } }, "41": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A small kitten is playing a ball. Sentence 2: A kitten is playing with a ball.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Algerian priest to lecture about Christian heritage in N. Africa Sentence 2: Telstra applies to list China site in NY\nOutput: 0 - definitely not\n\nInput: Sentence 1: Evolution is not an opinion, not a belief. Sentence 2: Atomic theory is not an opinion, not a belief.\nOutput: 2 - possibly\n\nInput: Sentence 1: S.Korea proposes 'final' N.Korea talks over Kaesong Sentence 2: North Korea proposes high-level talks with US\nOutput: 1 - probably not\n\nInput: Sentence 1: The new Cold War Sentence 2: A new Cold War?\nOutput: 5 - perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A small kitten is playing a ball. Sentence 2: A kitten is playing with a ball.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Algerian priest to lecture about Christian heritage in N. Africa Sentence 2: Telstra applies to list China site in NY\nOutput: 0 - definitely not\n\nInput: Sentence 1: Evolution is not an opinion, not a belief. Sentence 2: Atomic theory is not an opinion, not a belief.\nOutput: 2 - possibly\n\nInput: Sentence 1: S.Korea proposes 'final' N.Korea talks over Kaesong Sentence 2: North Korea proposes high-level talks with US\nOutput: 1 - probably not\n\nInput: Sentence 1: The new Cold War Sentence 2: A new Cold War?\nOutput: 5 - perfectly" } }, "42": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Israeli forces detain 5 Palestinians in West Bank Sentence 2: Israeli Forces Arrest Five Palestinians across West Bank\nOutput: 5 - perfectly\n\nInput: Sentence 1: A man is eating a banana. Sentence 2: Someone is peeling a banana.\nOutput: 2 - possibly\n\nInput: Sentence 1: Two little girls talk on the telephone. Sentence 2: Two girls talk on the phone.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Two arrests made after protest against Nigel Farage Sentence 2: Kerry vows progress after latest intensive Mideast trip\nOutput: 0 - definitely not\n\nInput: Sentence 1: Bank of England's Paul Tucker tainted by Libor mess Sentence 2: Bank of England deputy denies ordering rate-rigging\nOutput: 3 - probably\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Israeli forces detain 5 Palestinians in West Bank Sentence 2: Israeli Forces Arrest Five Palestinians across West Bank\nOutput: 5 - perfectly\n\nInput: Sentence 1: A man is eating a banana. Sentence 2: Someone is peeling a banana.\nOutput: 2 - possibly\n\nInput: Sentence 1: Two little girls talk on the telephone. Sentence 2: Two girls talk on the phone.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Two arrests made after protest against Nigel Farage Sentence 2: Kerry vows progress after latest intensive Mideast trip\nOutput: 0 - definitely not\n\nInput: Sentence 1: Bank of England's Paul Tucker tainted by Libor mess Sentence 2: Bank of England deputy denies ordering rate-rigging\nOutput: 3 - probably" } }, "43": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A man is playing guitar. Sentence 2: A boy is playing a guitar.\nOutput: 3 - probably\n\nInput: Sentence 1: South Korea reports seven new MERS cases Sentence 2: South Korean woman in contact with MERS patient dies\nOutput: 1 - probably not\n\nInput: Sentence 1: I don't see Obama as the lesser of two evils. Sentence 2: I don't see him as evil at all.\nOutput: 2 - possibly\n\nInput: Sentence 1: The white and brown dog runs across the grass. Sentence 2: A brown and white dog runs across the grass.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Young boys running along the pavement. Sentence 2: A black dog running along the edge of the ocean.\nOutput: 0 - definitely not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A man is playing guitar. Sentence 2: A boy is playing a guitar.\nOutput: 3 - probably\n\nInput: Sentence 1: South Korea reports seven new MERS cases Sentence 2: South Korean woman in contact with MERS patient dies\nOutput: 1 - probably not\n\nInput: Sentence 1: I don't see Obama as the lesser of two evils. Sentence 2: I don't see him as evil at all.\nOutput: 2 - possibly\n\nInput: Sentence 1: The white and brown dog runs across the grass. Sentence 2: A brown and white dog runs across the grass.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Young boys running along the pavement. Sentence 2: A black dog running along the edge of the ocean.\nOutput: 0 - definitely not" } }, "44": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Egypt to hold presidential elections before parliamentary polls Sentence 2: Egypt's interim president swears in new Cabinet\nOutput: 1 - probably not\n\nInput: Sentence 1: Yemen suicide attack kills 7 soldiers: officials Sentence 2: Afghan suicide car bomb kills at least seven: officials\nOutput: 2 - possibly\n\nInput: Sentence 1: Cisco pared spending to compensate for sluggish sales. Sentence 2: In response to sluggish sales, Cisco pared spending.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Cuba sees \"major role\" for foreign investment Sentence 2: House set to vote on plan to reopen government\nOutput: 0 - definitely not\n\nInput: Sentence 1: Israel advances plan to build 900 settlement homes Sentence 2: Israel unveils plans for new settler homes\nOutput: 4 - almost perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Egypt to hold presidential elections before parliamentary polls Sentence 2: Egypt's interim president swears in new Cabinet\nOutput: 1 - probably not\n\nInput: Sentence 1: Yemen suicide attack kills 7 soldiers: officials Sentence 2: Afghan suicide car bomb kills at least seven: officials\nOutput: 2 - possibly\n\nInput: Sentence 1: Cisco pared spending to compensate for sluggish sales. Sentence 2: In response to sluggish sales, Cisco pared spending.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Cuba sees \"major role\" for foreign investment Sentence 2: House set to vote on plan to reopen government\nOutput: 0 - definitely not\n\nInput: Sentence 1: Israel advances plan to build 900 settlement homes Sentence 2: Israel unveils plans for new settler homes\nOutput: 4 - almost perfectly" } }, "45": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Florida counties extend early voting Sentence 2: Fla. Democrats want extended early voting hours\nOutput: 3 - probably\n\nInput: Sentence 1: Barack Obama's bodyguards sent back to US after prostitution scandal Sentence 2: Barclays boss falls to rate fixing scandal\nOutput: 0 - definitely not\n\nInput: Sentence 1: Red double decker bus. Sentence 2: A red, double-decker bus.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Why are Russians in Damascus? Sentence 2: Russians in Damascus!\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Syria envoy says no peace talks without opposition Sentence 2: Syria: Cameron and Obama move west closer to intervention\nOutput: 1 - probably not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Florida counties extend early voting Sentence 2: Fla. Democrats want extended early voting hours\nOutput: 3 - probably\n\nInput: Sentence 1: Barack Obama's bodyguards sent back to US after prostitution scandal Sentence 2: Barclays boss falls to rate fixing scandal\nOutput: 0 - definitely not\n\nInput: Sentence 1: Red double decker bus. Sentence 2: A red, double-decker bus.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Why are Russians in Damascus? Sentence 2: Russians in Damascus!\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Syria envoy says no peace talks without opposition Sentence 2: Syria: Cameron and Obama move west closer to intervention\nOutput: 1 - probably not" } }, "46": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A white fluffy dog is running in pure white snow. Sentence 2: A fluffy, white dog running in the snow.\nOutput: 5 - perfectly\n\nInput: Sentence 1: the judicial order accused raghad of funding terrorism. Sentence 2: the court accused raghad saddam hussein of funding terrorism.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: James Gandolfini dies aged 51 Sentence 2: Nelson Mandela dies aged 95\nOutput: 0 - definitely not\n\nInput: Sentence 1: It's a common sense/deductive reasoning thing. Sentence 2: Hilited your common sense/deductive reasoning thing.\nOutput: 2 - possibly\n\nInput: Sentence 1: You wanna know what I find curious? Sentence 2: That's what I find curious.\nOutput: 3 - probably\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A white fluffy dog is running in pure white snow. Sentence 2: A fluffy, white dog running in the snow.\nOutput: 5 - perfectly\n\nInput: Sentence 1: the judicial order accused raghad of funding terrorism. Sentence 2: the court accused raghad saddam hussein of funding terrorism.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: James Gandolfini dies aged 51 Sentence 2: Nelson Mandela dies aged 95\nOutput: 0 - definitely not\n\nInput: Sentence 1: It's a common sense/deductive reasoning thing. Sentence 2: Hilited your common sense/deductive reasoning thing.\nOutput: 2 - possibly\n\nInput: Sentence 1: You wanna know what I find curious? Sentence 2: That's what I find curious.\nOutput: 3 - probably" } }, "47": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Syrian forces bombard Homs, Russia warns of civil war Sentence 2: Syrian forces bombard Homs, Lavrov arrives for talks\nOutput: 3 - probably\n\nInput: Sentence 1: James : says faith without works is dead. Sentence 2: Paul did not preach faith without works.\nOutput: 2 - possibly\n\nInput: Sentence 1: Someone is frying meat. Sentence 2: Someone is playing paino.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A girl does a back bend on the beach. Sentence 2: A girl doing a back bend at the beach.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Olivia Colman wins second BAFTA Award Sentence 2: Baftas 2013: Olivia Colman picks up two awards\nOutput: 4 - almost perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Syrian forces bombard Homs, Russia warns of civil war Sentence 2: Syrian forces bombard Homs, Lavrov arrives for talks\nOutput: 3 - probably\n\nInput: Sentence 1: James : says faith without works is dead. Sentence 2: Paul did not preach faith without works.\nOutput: 2 - possibly\n\nInput: Sentence 1: Someone is frying meat. Sentence 2: Someone is playing paino.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A girl does a back bend on the beach. Sentence 2: A girl doing a back bend at the beach.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Olivia Colman wins second BAFTA Award Sentence 2: Baftas 2013: Olivia Colman picks up two awards\nOutput: 4 - almost perfectly" } }, "48": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Search after man swept into sea Sentence 2: Lara plans visit to Nepal\nOutput: 0 - definitely not\n\nInput: Sentence 1: German ambassador's Athens residence shot at Sentence 2: Shots fired at German ambassador's residence in Athens\nOutput: 5 - perfectly\n\nInput: Sentence 1: A man is levitating. Sentence 2: A man is talking.\nOutput: 1 - probably not\n\nInput: Sentence 1: A black dog is running in the grass. Sentence 2: A black and a brown dog running in the grass.\nOutput: 3 - probably\n\nInput: Sentence 1: Four blue and yellow planes flying over four boats. Sentence 2: Four blue and yellow planes in flight.\nOutput: 4 - almost perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Search after man swept into sea Sentence 2: Lara plans visit to Nepal\nOutput: 0 - definitely not\n\nInput: Sentence 1: German ambassador's Athens residence shot at Sentence 2: Shots fired at German ambassador's residence in Athens\nOutput: 5 - perfectly\n\nInput: Sentence 1: A man is levitating. Sentence 2: A man is talking.\nOutput: 1 - probably not\n\nInput: Sentence 1: A black dog is running in the grass. Sentence 2: A black and a brown dog running in the grass.\nOutput: 3 - probably\n\nInput: Sentence 1: Four blue and yellow planes flying over four boats. Sentence 2: Four blue and yellow planes in flight.\nOutput: 4 - almost perfectly" } }, "49": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A black dog is running in the grass. Sentence 2: A boy running through green grass.\nOutput: 1 - probably not\n\nInput: Sentence 1: Men tried to behead soldier on London street, court hears Sentence 2: Australia spied on Indonesia president: reports\nOutput: 0 - definitely not\n\nInput: Sentence 1: A small dog is chasing a yoga ball. Sentence 2: A dog is chasing a ball.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: GL, Terral That is absolutely amazing. Sentence 2: Hi Ollie: That is absolutely amazing.\nOutput: 2 - possibly\n\nInput: Sentence 1: A group of people sing. Sentence 2: Some people are singing.\nOutput: 5 - perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A black dog is running in the grass. Sentence 2: A boy running through green grass.\nOutput: 1 - probably not\n\nInput: Sentence 1: Men tried to behead soldier on London street, court hears Sentence 2: Australia spied on Indonesia president: reports\nOutput: 0 - definitely not\n\nInput: Sentence 1: A small dog is chasing a yoga ball. Sentence 2: A dog is chasing a ball.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: GL, Terral That is absolutely amazing. Sentence 2: Hi Ollie: That is absolutely amazing.\nOutput: 2 - possibly\n\nInput: Sentence 1: A group of people sing. Sentence 2: Some people are singing.\nOutput: 5 - perfectly" } }, "50": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: German ambassador's Athens residence shot at Sentence 2: Shots fired at German ambassador's residence in Athens\nOutput: 5 - perfectly\n\nInput: Sentence 1: occupied Palestinian territory: Palestinians rebuff US peace talks blueprint Sentence 2: occupied Palestinian territory: Palestinians Face a Route to Nowhere\nOutput: 1 - probably not\n\nInput: Sentence 1: Two killed in new Israeli strike on Gaza: medics Sentence 2: 5 die in strikes on Gaza, militants barrage Israel\nOutput: 2 - possibly\n\nInput: Sentence 1: a snowboarder jumps into the air. Sentence 2: A snowboarder flies through the air.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Two goats standing in a field by a tree. Sentence 2: A large boat pulling a small white boat.\nOutput: 0 - definitely not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: German ambassador's Athens residence shot at Sentence 2: Shots fired at German ambassador's residence in Athens\nOutput: 5 - perfectly\n\nInput: Sentence 1: occupied Palestinian territory: Palestinians rebuff US peace talks blueprint Sentence 2: occupied Palestinian territory: Palestinians Face a Route to Nowhere\nOutput: 1 - probably not\n\nInput: Sentence 1: Two killed in new Israeli strike on Gaza: medics Sentence 2: 5 die in strikes on Gaza, militants barrage Israel\nOutput: 2 - possibly\n\nInput: Sentence 1: a snowboarder jumps into the air. Sentence 2: A snowboarder flies through the air.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Two goats standing in a field by a tree. Sentence 2: A large boat pulling a small white boat.\nOutput: 0 - definitely not" } }, "51": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A silver bicycle is parked in a living room. Sentence 2: A bicycle in a dining room.\nOutput: 2 - possibly\n\nInput: Sentence 1: 7 dead in Christian school shooting Sentence 2: 5 wounded in Ohio school shooting\nOutput: 1 - probably not\n\nInput: Sentence 1: Senate confirms Obama nominee to key appeals court Sentence 2: Senate approves Obama nominee to key appeals court\nOutput: 5 - perfectly\n\nInput: Sentence 1: Iran 'thwarts nuclear sabotage attempts' Sentence 2: Iran says detects sabotage at nuclear facility\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: It's about the baggage attached. Sentence 2: It's not the same thing.\nOutput: 0 - definitely not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A silver bicycle is parked in a living room. Sentence 2: A bicycle in a dining room.\nOutput: 2 - possibly\n\nInput: Sentence 1: 7 dead in Christian school shooting Sentence 2: 5 wounded in Ohio school shooting\nOutput: 1 - probably not\n\nInput: Sentence 1: Senate confirms Obama nominee to key appeals court Sentence 2: Senate approves Obama nominee to key appeals court\nOutput: 5 - perfectly\n\nInput: Sentence 1: Iran 'thwarts nuclear sabotage attempts' Sentence 2: Iran says detects sabotage at nuclear facility\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: It's about the baggage attached. Sentence 2: It's not the same thing.\nOutput: 0 - definitely not" } }, "52": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Five dead, 40 missing in Canada train disaster Sentence 2: 40 still missing in Canadian train wreck\nOutput: 3 - probably\n\nInput: Sentence 1: Iranian president makes debut on world stage Sentence 2: Iran presidential candidate says western sanctions should be broken\nOutput: 1 - probably not\n\nInput: Sentence 1: Two children in a field of red flowers. Sentence 2: Two kids are playing in a field of red flowers.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Originally Posted by anabelle What's wrong with that? Sentence 2: Originally Posted by Vienna To 'say' what?\nOutput: 0 - definitely not\n\nInput: Sentence 1: Red Cross worker killed in Pakistan Sentence 2: British Red Cross doctor kidnapped in Pakistan found beheaded\nOutput: 4 - almost perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Five dead, 40 missing in Canada train disaster Sentence 2: 40 still missing in Canadian train wreck\nOutput: 3 - probably\n\nInput: Sentence 1: Iranian president makes debut on world stage Sentence 2: Iran presidential candidate says western sanctions should be broken\nOutput: 1 - probably not\n\nInput: Sentence 1: Two children in a field of red flowers. Sentence 2: Two kids are playing in a field of red flowers.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Originally Posted by anabelle What's wrong with that? Sentence 2: Originally Posted by Vienna To 'say' what?\nOutput: 0 - definitely not\n\nInput: Sentence 1: Red Cross worker killed in Pakistan Sentence 2: British Red Cross doctor kidnapped in Pakistan found beheaded\nOutput: 4 - almost perfectly" } }, "53": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Hurricane Sandy makes landfall in southeastern Jamaica: NHC Sentence 2: Hurricane Sandy reaches Jamaica\nOutput: 3 - probably\n\nInput: Sentence 1: A man is playing the guitar. Sentence 2: A man seated in a room is playing the guitar.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: A man is frying a tortilla. Sentence 2: A person is performing a card trick.\nOutput: 0 - definitely not\n\nInput: Sentence 1: Couple marry in the UK's first Scientology wedding Sentence 2: Couple get married in Britain's first Scientology wedding\nOutput: 5 - perfectly\n\nInput: Sentence 1: The girl is tiding up her bed. Sentence 2: A woman is making a bed.\nOutput: 2 - possibly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Hurricane Sandy makes landfall in southeastern Jamaica: NHC Sentence 2: Hurricane Sandy reaches Jamaica\nOutput: 3 - probably\n\nInput: Sentence 1: A man is playing the guitar. Sentence 2: A man seated in a room is playing the guitar.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: A man is frying a tortilla. Sentence 2: A person is performing a card trick.\nOutput: 0 - definitely not\n\nInput: Sentence 1: Couple marry in the UK's first Scientology wedding Sentence 2: Couple get married in Britain's first Scientology wedding\nOutput: 5 - perfectly\n\nInput: Sentence 1: The girl is tiding up her bed. Sentence 2: A woman is making a bed.\nOutput: 2 - possibly" } }, "54": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: American Airlines and Pilots Agree on a New Contract Sentence 2: Romney pledges to 'stand with Israel' on Iran threat\nOutput: 0 - definitely not\n\nInput: Sentence 1: . What is your definition of \"life force\"? Sentence 2: What is your definition of \"soul\"?\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Man sets himself on fire at Breivik trial Sentence 2: Man sets self afire outside Breivik trial\nOutput: 5 - perfectly\n\nInput: Sentence 1: Those are partial psychopaths. Sentence 2: Was Ted Bundy a partial psychopath?\nOutput: 2 - possibly\n\nInput: Sentence 1: There is simply no winning for Obama among conservatives. Sentence 2: This is rich coming from a conservative.\nOutput: 1 - probably not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: American Airlines and Pilots Agree on a New Contract Sentence 2: Romney pledges to 'stand with Israel' on Iran threat\nOutput: 0 - definitely not\n\nInput: Sentence 1: . What is your definition of \"life force\"? Sentence 2: What is your definition of \"soul\"?\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Man sets himself on fire at Breivik trial Sentence 2: Man sets self afire outside Breivik trial\nOutput: 5 - perfectly\n\nInput: Sentence 1: Those are partial psychopaths. Sentence 2: Was Ted Bundy a partial psychopath?\nOutput: 2 - possibly\n\nInput: Sentence 1: There is simply no winning for Obama among conservatives. Sentence 2: This is rich coming from a conservative.\nOutput: 1 - probably not" } }, "55": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Britain shuts down plants as horse meat scandal reaches France Sentence 2: EU ministers 'determined' to resolve horsemeat scandal\nOutput: 3 - probably\n\nInput: Sentence 1: Military: Syria chemical stocks threaten Israel Sentence 2: Russia tells Syria chemical arms threat is unacceptable\nOutput: 2 - possibly\n\nInput: Sentence 1: Feds move to require car-to-car safety communication Sentence 2: Guatemala overturns former dictator's genocide conviction\nOutput: 0 - definitely not\n\nInput: Sentence 1: A train is on the railroad tracks. Sentence 2: A train on the train tracks.\nOutput: 5 - perfectly\n\nInput: Sentence 1: A man is walking outside. Sentence 2: A man is dancing.\nOutput: 1 - probably not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Britain shuts down plants as horse meat scandal reaches France Sentence 2: EU ministers 'determined' to resolve horsemeat scandal\nOutput: 3 - probably\n\nInput: Sentence 1: Military: Syria chemical stocks threaten Israel Sentence 2: Russia tells Syria chemical arms threat is unacceptable\nOutput: 2 - possibly\n\nInput: Sentence 1: Feds move to require car-to-car safety communication Sentence 2: Guatemala overturns former dictator's genocide conviction\nOutput: 0 - definitely not\n\nInput: Sentence 1: A train is on the railroad tracks. Sentence 2: A train on the train tracks.\nOutput: 5 - perfectly\n\nInput: Sentence 1: A man is walking outside. Sentence 2: A man is dancing.\nOutput: 1 - probably not" } }, "56": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The woman is seasoning the oil. Sentence 2: A woman is pouring ingredients in a bowl.\nOutput: 1 - probably not\n\nInput: Sentence 1: PCB appoints Waqar Younis as head coach Sentence 2: Waqar Younis back as Pakistan coach\nOutput: 5 - perfectly\n\nInput: Sentence 1: A bird is flapping its wings in the water. Sentence 2: A large black bird is sitting in the water.\nOutput: 3 - probably\n\nInput: Sentence 1: 300 potential Jimmy Savile victims: police Sentence 2: UK: 300 potential Savile abuse victims emerge\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: A boy is cutting paper. Sentence 2: A man is loading a rifle.\nOutput: 0 - definitely not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The woman is seasoning the oil. Sentence 2: A woman is pouring ingredients in a bowl.\nOutput: 1 - probably not\n\nInput: Sentence 1: PCB appoints Waqar Younis as head coach Sentence 2: Waqar Younis back as Pakistan coach\nOutput: 5 - perfectly\n\nInput: Sentence 1: A bird is flapping its wings in the water. Sentence 2: A large black bird is sitting in the water.\nOutput: 3 - probably\n\nInput: Sentence 1: 300 potential Jimmy Savile victims: police Sentence 2: UK: 300 potential Savile abuse victims emerge\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: A boy is cutting paper. Sentence 2: A man is loading a rifle.\nOutput: 0 - definitely not" } }, "57": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Obama's poll rating drops in boost for Republican rivals Sentence 2: Obama's big Hispanic win worries Republicans\nOutput: 1 - probably not\n\nInput: Sentence 1: Hurricane Sandy Closes in on US East Coast Sentence 2: Hurricane Sandy takes aim at US East Coast\nOutput: 5 - perfectly\n\nInput: Sentence 1: Four people are rowing a boat near the shore. Sentence 2: four people are on a boat on green water.\nOutput: 3 - probably\n\nInput: Sentence 1: A woman is cutting scallions. Sentence 2: A woman falls on a sand castle.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A cat reclines on an office chair. Sentence 2: A ginger cat sitting on an office chair.\nOutput: 4 - almost perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Obama's poll rating drops in boost for Republican rivals Sentence 2: Obama's big Hispanic win worries Republicans\nOutput: 1 - probably not\n\nInput: Sentence 1: Hurricane Sandy Closes in on US East Coast Sentence 2: Hurricane Sandy takes aim at US East Coast\nOutput: 5 - perfectly\n\nInput: Sentence 1: Four people are rowing a boat near the shore. Sentence 2: four people are on a boat on green water.\nOutput: 3 - probably\n\nInput: Sentence 1: A woman is cutting scallions. Sentence 2: A woman falls on a sand castle.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A cat reclines on an office chair. Sentence 2: A ginger cat sitting on an office chair.\nOutput: 4 - almost perfectly" } }, "58": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A pankda is eating bamboo. Sentence 2: A panda bear is eating some bamboo.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: A white dog running on sand. Sentence 2: A white dog runs on the sand.\nOutput: 5 - perfectly\n\nInput: Sentence 1: A man is riding a skateboard. Sentence 2: A woman is cutting a potato.\nOutput: 0 - definitely not\n\nInput: Sentence 1: CYCLONE FORMATION IS NOT EXPECTED DURING THE NEXT HOURS. Sentence 2: TROPICAL CYCLONE FORMATION IS NOT EXPECTED.\nOutput: 3 - probably\n\nInput: Sentence 1: World stocks rise on hopes Fed to keep stimulus Sentence 2: Fed expected to maintain stimulus\nOutput: 1 - probably not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A pankda is eating bamboo. Sentence 2: A panda bear is eating some bamboo.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: A white dog running on sand. Sentence 2: A white dog runs on the sand.\nOutput: 5 - perfectly\n\nInput: Sentence 1: A man is riding a skateboard. Sentence 2: A woman is cutting a potato.\nOutput: 0 - definitely not\n\nInput: Sentence 1: CYCLONE FORMATION IS NOT EXPECTED DURING THE NEXT HOURS. Sentence 2: TROPICAL CYCLONE FORMATION IS NOT EXPECTED.\nOutput: 3 - probably\n\nInput: Sentence 1: World stocks rise on hopes Fed to keep stimulus Sentence 2: Fed expected to maintain stimulus\nOutput: 1 - probably not" } }, "59": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Mandela remains in hospital Sentence 2: Mandela remains in 'intensive care'\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: You are a Christian. Sentence 2: Therefore you are not a Christian.\nOutput: 1 - probably not\n\nInput: Sentence 1: from the year prior. Sentence 2: warmed.C from the year prior.\nOutput: 3 - probably\n\nInput: Sentence 1: A man puts seasoning in a bowl of water. Sentence 2: The man added seasoning to water in a bowl.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Spain asks for bank rescue Sentence 2: Spaniard on trial for Cuban dissident’s death\nOutput: 0 - definitely not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Mandela remains in hospital Sentence 2: Mandela remains in 'intensive care'\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: You are a Christian. Sentence 2: Therefore you are not a Christian.\nOutput: 1 - probably not\n\nInput: Sentence 1: from the year prior. Sentence 2: warmed.C from the year prior.\nOutput: 3 - probably\n\nInput: Sentence 1: A man puts seasoning in a bowl of water. Sentence 2: The man added seasoning to water in a bowl.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Spain asks for bank rescue Sentence 2: Spaniard on trial for Cuban dissident’s death\nOutput: 0 - definitely not" } }, "60": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Man playing guitar while sitting down. Sentence 2: Red and white bus driving down road.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A man is preparing a hanging rope. Sentence 2: A man is tying a noose.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Floods kill two, forces 75,000 from Calgary homes Sentence 2: Flooding Forces 75,000 From Canada Homes\nOutput: 3 - probably\n\nInput: Sentence 1: Tens of Thousands of Ukrainians Protest in Kyiv Sentence 2: Tens of thousands line up to cast votes in Bhutan\nOutput: 1 - probably not\n\nInput: Sentence 1: The puppy played with a blue tennis ball. Sentence 2: A puppy is playing with a tennis ball.\nOutput: 4 - almost perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Man playing guitar while sitting down. Sentence 2: Red and white bus driving down road.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A man is preparing a hanging rope. Sentence 2: A man is tying a noose.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Floods kill two, forces 75,000 from Calgary homes Sentence 2: Flooding Forces 75,000 From Canada Homes\nOutput: 3 - probably\n\nInput: Sentence 1: Tens of Thousands of Ukrainians Protest in Kyiv Sentence 2: Tens of thousands line up to cast votes in Bhutan\nOutput: 1 - probably not\n\nInput: Sentence 1: The puppy played with a blue tennis ball. Sentence 2: A puppy is playing with a tennis ball.\nOutput: 4 - almost perfectly" } }, "61": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Mitt Romney wins Republican primary in Indiana Sentence 2: Romney wins Florida Republican primary\nOutput: 2 - possibly\n\nInput: Sentence 1: Fairies don't exist - fine. Sentence 2: Leprechauns don't exist - fine.\nOutput: 1 - probably not\n\nInput: Sentence 1: East Ukraine Separatists Ask to Join Russia Sentence 2: Crimean Parliament Votes to Join Russia\nOutput: 3 - probably\n\nInput: Sentence 1: Israel and Hamas to observe brief Gaza truce Sentence 2: Israel And Hamas 'Accept Temporary Truce'\nOutput: 5 - perfectly\n\nInput: Sentence 1: Jake with the assist. Sentence 2: Voracek with the goal.\nOutput: 0 - definitely not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Mitt Romney wins Republican primary in Indiana Sentence 2: Romney wins Florida Republican primary\nOutput: 2 - possibly\n\nInput: Sentence 1: Fairies don't exist - fine. Sentence 2: Leprechauns don't exist - fine.\nOutput: 1 - probably not\n\nInput: Sentence 1: East Ukraine Separatists Ask to Join Russia Sentence 2: Crimean Parliament Votes to Join Russia\nOutput: 3 - probably\n\nInput: Sentence 1: Israel and Hamas to observe brief Gaza truce Sentence 2: Israel And Hamas 'Accept Temporary Truce'\nOutput: 5 - perfectly\n\nInput: Sentence 1: Jake with the assist. Sentence 2: Voracek with the goal.\nOutput: 0 - definitely not" } }, "62": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: 2 Palestinians killed in Israeli airstrikes Sentence 2: Four Palestinians killed in IAF strike\nOutput: 2 - possibly\n\nInput: Sentence 1: A man is climbing a rope. Sentence 2: A man climbs up a rope.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Two little girls are playing on a trampoline. Sentence 2: Two little boys are playing on a playground.\nOutput: 1 - probably not\n\nInput: Sentence 1: Tech Sector Heats Up: Google and IBM Post Strong Earnings Sentence 2: Google shares soar past $1,000 on strong earnings\nOutput: 3 - probably\n\nInput: Sentence 1: A dog is running on the ground. Sentence 2: A girl is tapping her finger nails.\nOutput: 0 - definitely not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: 2 Palestinians killed in Israeli airstrikes Sentence 2: Four Palestinians killed in IAF strike\nOutput: 2 - possibly\n\nInput: Sentence 1: A man is climbing a rope. Sentence 2: A man climbs up a rope.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Two little girls are playing on a trampoline. Sentence 2: Two little boys are playing on a playground.\nOutput: 1 - probably not\n\nInput: Sentence 1: Tech Sector Heats Up: Google and IBM Post Strong Earnings Sentence 2: Google shares soar past $1,000 on strong earnings\nOutput: 3 - probably\n\nInput: Sentence 1: A dog is running on the ground. Sentence 2: A girl is tapping her finger nails.\nOutput: 0 - definitely not" } }, "63": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Two dogs playing in snow. Sentence 2: Two dogs play in the snow.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Iran condemns alleged Israeli airstrike on Syria Sentence 2: Democrats Face Divide Over a Strike on Syria\nOutput: 1 - probably not\n\nInput: Sentence 1: Italy bus crash death toll rises Sentence 2: Starbucks clears college degree path for workers\nOutput: 0 - definitely not\n\nInput: Sentence 1: North Korea says to restart nuclear reactor Sentence 2: North Korea Offers Talks: Complex May Re-Open\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Quotations in the News Sentence 2: Quotations of the day\nOutput: 3 - probably\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Two dogs playing in snow. Sentence 2: Two dogs play in the snow.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Iran condemns alleged Israeli airstrike on Syria Sentence 2: Democrats Face Divide Over a Strike on Syria\nOutput: 1 - probably not\n\nInput: Sentence 1: Italy bus crash death toll rises Sentence 2: Starbucks clears college degree path for workers\nOutput: 0 - definitely not\n\nInput: Sentence 1: North Korea says to restart nuclear reactor Sentence 2: North Korea Offers Talks: Complex May Re-Open\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Quotations in the News Sentence 2: Quotations of the day\nOutput: 3 - probably" } }, "64": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Palestinians, Israeli police clash at Jerusalem's al-Aqsa Sentence 2: Palestinian Shot by Israeli Police in East Jerusalem Dies\nOutput: 2 - possibly\n\nInput: Sentence 1: A person is slicing onions. Sentence 2: A person is peeling an onion.\nOutput: 3 - probably\n\nInput: Sentence 1: The man is playing the guitar. Sentence 2: A man is playing guitar.\nOutput: 5 - perfectly\n\nInput: Sentence 1: A woman holds a kangaroo. Sentence 2: A man in a hat sings a song.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A black and white cat lying on a blanket. Sentence 2: A black and white cat sleeps on a purple blanket.\nOutput: 4 - almost perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Palestinians, Israeli police clash at Jerusalem's al-Aqsa Sentence 2: Palestinian Shot by Israeli Police in East Jerusalem Dies\nOutput: 2 - possibly\n\nInput: Sentence 1: A person is slicing onions. Sentence 2: A person is peeling an onion.\nOutput: 3 - probably\n\nInput: Sentence 1: The man is playing the guitar. Sentence 2: A man is playing guitar.\nOutput: 5 - perfectly\n\nInput: Sentence 1: A woman holds a kangaroo. Sentence 2: A man in a hat sings a song.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A black and white cat lying on a blanket. Sentence 2: A black and white cat sleeps on a purple blanket.\nOutput: 4 - almost perfectly" } }, "65": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: China's Peace Ark departs for the Philippines Thursday Sentence 2: China sends aid team to Philippines\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: A woman is slicing pumpkin. Sentence 2: A person is slicing cantaloupe.\nOutput: 2 - possibly\n\nInput: Sentence 1: myanmar was formerly known as burma. Sentence 2: myanmar was formerly called burma.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Islamists attack north Mali city after suicide bombings Sentence 2: Islamists attack Malian troops in Gao\nOutput: 3 - probably\n\nInput: Sentence 1: A skier going down the snowy hill. Sentence 2: A brown dog is laying in the snow.\nOutput: 0 - definitely not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: China's Peace Ark departs for the Philippines Thursday Sentence 2: China sends aid team to Philippines\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: A woman is slicing pumpkin. Sentence 2: A person is slicing cantaloupe.\nOutput: 2 - possibly\n\nInput: Sentence 1: myanmar was formerly known as burma. Sentence 2: myanmar was formerly called burma.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Islamists attack north Mali city after suicide bombings Sentence 2: Islamists attack Malian troops in Gao\nOutput: 3 - probably\n\nInput: Sentence 1: A skier going down the snowy hill. Sentence 2: A brown dog is laying in the snow.\nOutput: 0 - definitely not" } }, "66": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Iran ups oil swap with eastern neighbors Sentence 2: Iran urges rapid release of diplomat\nOutput: 0 - definitely not\n\nInput: Sentence 1: You are a Christian. Sentence 2: Therefore you are not a Christian.\nOutput: 1 - probably not\n\nInput: Sentence 1: CYCLONE FORMATION IS NOT EXPECTED DURING THE NEXT HOURS. Sentence 2: TROPICAL CYCLONE FORMATION IS NOT EXPECTED.\nOutput: 3 - probably\n\nInput: Sentence 1: Turkish search ends as last missing miners found Sentence 2: Turkish Search Ends as Last Missing Miners Found\nOutput: 5 - perfectly\n\nInput: Sentence 1: The brown train is sitting on the railroad tracks. Sentence 2: The white train is sitting on the tracks.\nOutput: 2 - possibly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Iran ups oil swap with eastern neighbors Sentence 2: Iran urges rapid release of diplomat\nOutput: 0 - definitely not\n\nInput: Sentence 1: You are a Christian. Sentence 2: Therefore you are not a Christian.\nOutput: 1 - probably not\n\nInput: Sentence 1: CYCLONE FORMATION IS NOT EXPECTED DURING THE NEXT HOURS. Sentence 2: TROPICAL CYCLONE FORMATION IS NOT EXPECTED.\nOutput: 3 - probably\n\nInput: Sentence 1: Turkish search ends as last missing miners found Sentence 2: Turkish Search Ends as Last Missing Miners Found\nOutput: 5 - perfectly\n\nInput: Sentence 1: The brown train is sitting on the railroad tracks. Sentence 2: The white train is sitting on the tracks.\nOutput: 2 - possibly" } }, "67": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: At least 18 killed in Iraq mosque bombing Sentence 2: More than 60 killed at Iraq funeral\nOutput: 0 - definitely not\n\nInput: Sentence 1: A woman is slicing an onion. Sentence 2: A man is shown slicing a carrot with a knife.\nOutput: 1 - probably not\n\nInput: Sentence 1: A man chops down a tree with an axe. Sentence 2: A man cut a tree with an axe.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Why did that transaction take place. Sentence 2: Did the transaction take place?\nOutput: 2 - possibly\n\nInput: Sentence 1: a black and white cow in hay. Sentence 2: A black and white cow in a pen with hay.\nOutput: 4 - almost perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: At least 18 killed in Iraq mosque bombing Sentence 2: More than 60 killed at Iraq funeral\nOutput: 0 - definitely not\n\nInput: Sentence 1: A woman is slicing an onion. Sentence 2: A man is shown slicing a carrot with a knife.\nOutput: 1 - probably not\n\nInput: Sentence 1: A man chops down a tree with an axe. Sentence 2: A man cut a tree with an axe.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Why did that transaction take place. Sentence 2: Did the transaction take place?\nOutput: 2 - possibly\n\nInput: Sentence 1: a black and white cow in hay. Sentence 2: A black and white cow in a pen with hay.\nOutput: 4 - almost perfectly" } }, "68": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Syrian forces storm central town Sentence 2: Syrian forces bombard Homs, Russia warns of civil war\nOutput: 2 - possibly\n\nInput: Sentence 1: A woman is cutting meat into pieces. Sentence 2: A woman is cutting up some meat.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Pakistan begins demolition of bin Laden compound Sentence 2: Pakistan demolishes Osama bin Laden hideout\nOutput: 3 - probably\n\nInput: Sentence 1: Hezbollah targets Qaeda gathering along border with Syria Sentence 2: Belarus tightens security along the border with Ukraine\nOutput: 0 - definitely not\n\nInput: Sentence 1: A man is carrying another man. Sentence 2: A man sprays another man with water from a hose.\nOutput: 1 - probably not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Syrian forces storm central town Sentence 2: Syrian forces bombard Homs, Russia warns of civil war\nOutput: 2 - possibly\n\nInput: Sentence 1: A woman is cutting meat into pieces. Sentence 2: A woman is cutting up some meat.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Pakistan begins demolition of bin Laden compound Sentence 2: Pakistan demolishes Osama bin Laden hideout\nOutput: 3 - probably\n\nInput: Sentence 1: Hezbollah targets Qaeda gathering along border with Syria Sentence 2: Belarus tightens security along the border with Ukraine\nOutput: 0 - definitely not\n\nInput: Sentence 1: A man is carrying another man. Sentence 2: A man sprays another man with water from a hose.\nOutput: 1 - probably not" } }, "69": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: US-Russia reach agreement on Syria Sentence 2: US-Russia reach agreement on Syria weapons\nOutput: 3 - probably\n\nInput: Sentence 1: A young boy is riding a bike. Sentence 2: A young girl laying on a blue inflatable toy\nOutput: 0 - definitely not\n\nInput: Sentence 1: A cat opens a drawer and climbs inside. Sentence 2: A cat is opening a drawer and climbing inside.\nOutput: 5 - perfectly\n\nInput: Sentence 1: U.S. bans carry-on liquids, gels on flights to Russia Sentence 2: US bans carry-on liquids on direct flights to Russia\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: A man picking up a big rock. Sentence 2: A woman picking up a large rock.\nOutput: 2 - possibly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: US-Russia reach agreement on Syria Sentence 2: US-Russia reach agreement on Syria weapons\nOutput: 3 - probably\n\nInput: Sentence 1: A young boy is riding a bike. Sentence 2: A young girl laying on a blue inflatable toy\nOutput: 0 - definitely not\n\nInput: Sentence 1: A cat opens a drawer and climbs inside. Sentence 2: A cat is opening a drawer and climbing inside.\nOutput: 5 - perfectly\n\nInput: Sentence 1: U.S. bans carry-on liquids, gels on flights to Russia Sentence 2: US bans carry-on liquids on direct flights to Russia\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: A man picking up a big rock. Sentence 2: A woman picking up a large rock.\nOutput: 2 - possibly" } }, "70": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Headlines in major Iranian newspapers on Sept 27 Sentence 2: Headlines in several Iranian newspapers on Oct 19\nOutput: 3 - probably\n\nInput: Sentence 1: US Attorney General Holder resigns Sentence 2: Attorney General Eric Holder to Resign\nOutput: 5 - perfectly\n\nInput: Sentence 1: the problem isn't who has money. Sentence 2: the problem is who doesn't have money.\nOutput: 2 - possibly\n\nInput: Sentence 1: A man is being put into an abulance. Sentence 2: A man is pouring pasta onto a plate.\nOutput: 0 - definitely not\n\nInput: Sentence 1: BBC director general resigns over 'shoddy journalism' Sentence 2: BBC Director General Resigns amid Newsnight Scandal\nOutput: 4 - almost perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Headlines in major Iranian newspapers on Sept 27 Sentence 2: Headlines in several Iranian newspapers on Oct 19\nOutput: 3 - probably\n\nInput: Sentence 1: US Attorney General Holder resigns Sentence 2: Attorney General Eric Holder to Resign\nOutput: 5 - perfectly\n\nInput: Sentence 1: the problem isn't who has money. Sentence 2: the problem is who doesn't have money.\nOutput: 2 - possibly\n\nInput: Sentence 1: A man is being put into an abulance. Sentence 2: A man is pouring pasta onto a plate.\nOutput: 0 - definitely not\n\nInput: Sentence 1: BBC director general resigns over 'shoddy journalism' Sentence 2: BBC Director General Resigns amid Newsnight Scandal\nOutput: 4 - almost perfectly" } }, "71": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A bicycle is parked by a shop. Sentence 2: A green bike parked outside a book store.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: A man is holding a leaf. Sentence 2: A woman is watching television.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A man and a woman are walking in the woods. Sentence 2: A man and woman are walking through the jungle.\nOutput: 3 - probably\n\nInput: Sentence 1: Bangladesh Islamists rally against atheist bloggers Sentence 2: Bangladeshi Islamists rally to demand action against atheist bloggers\nOutput: 5 - perfectly\n\nInput: Sentence 1: Woman dies after abortion refusal Sentence 2: Woman dies after cliff collapses in Dorset\nOutput: 1 - probably not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A bicycle is parked by a shop. Sentence 2: A green bike parked outside a book store.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: A man is holding a leaf. Sentence 2: A woman is watching television.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A man and a woman are walking in the woods. Sentence 2: A man and woman are walking through the jungle.\nOutput: 3 - probably\n\nInput: Sentence 1: Bangladesh Islamists rally against atheist bloggers Sentence 2: Bangladeshi Islamists rally to demand action against atheist bloggers\nOutput: 5 - perfectly\n\nInput: Sentence 1: Woman dies after abortion refusal Sentence 2: Woman dies after cliff collapses in Dorset\nOutput: 1 - probably not" } }, "72": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A sheep standing in a mountainous area. Sentence 2: A large sheep standing on a hill.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: The man cut some carpet with a knife. Sentence 2: A man is cutting carpet with a knife.\nOutput: 5 - perfectly\n\nInput: Sentence 1: A girl is playing a flute. Sentence 2: A band is playing on a stage.\nOutput: 1 - probably not\n\nInput: Sentence 1: Greece bond exchange the largest debt restructuring in history Sentence 2: Greece secures biggest debt deal in history\nOutput: 3 - probably\n\nInput: Sentence 1: A woman is dancing. Sentence 2: A woman is kneading dough.\nOutput: 0 - definitely not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A sheep standing in a mountainous area. Sentence 2: A large sheep standing on a hill.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: The man cut some carpet with a knife. Sentence 2: A man is cutting carpet with a knife.\nOutput: 5 - perfectly\n\nInput: Sentence 1: A girl is playing a flute. Sentence 2: A band is playing on a stage.\nOutput: 1 - probably not\n\nInput: Sentence 1: Greece bond exchange the largest debt restructuring in history Sentence 2: Greece secures biggest debt deal in history\nOutput: 3 - probably\n\nInput: Sentence 1: A woman is dancing. Sentence 2: A woman is kneading dough.\nOutput: 0 - definitely not" } }, "73": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A man is firing a shot gun. Sentence 2: A man shoots a shotgun.\nOutput: 5 - perfectly\n\nInput: Sentence 1: First significant gas found offshore Kenya Sentence 2: Raiders kill 38 in latest land clashes in Kenya\nOutput: 1 - probably not\n\nInput: Sentence 1: Iran rejects claim on chlorine bombs Sentence 2: Iran rejects MKO claim on nuclear site\nOutput: 2 - possibly\n\nInput: Sentence 1: The man played haki sak in the office. Sentence 2: The man is seasoning the vegetables.\nOutput: 0 - definitely not\n\nInput: Sentence 1: French Socialist Party wins parliament victory Sentence 2: French Socialists win absolute parliament majority\nOutput: 4 - almost perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A man is firing a shot gun. Sentence 2: A man shoots a shotgun.\nOutput: 5 - perfectly\n\nInput: Sentence 1: First significant gas found offshore Kenya Sentence 2: Raiders kill 38 in latest land clashes in Kenya\nOutput: 1 - probably not\n\nInput: Sentence 1: Iran rejects claim on chlorine bombs Sentence 2: Iran rejects MKO claim on nuclear site\nOutput: 2 - possibly\n\nInput: Sentence 1: The man played haki sak in the office. Sentence 2: The man is seasoning the vegetables.\nOutput: 0 - definitely not\n\nInput: Sentence 1: French Socialist Party wins parliament victory Sentence 2: French Socialists win absolute parliament majority\nOutput: 4 - almost perfectly" } }, "74": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Stone notified Captain Lord. Sentence 2: He too notified Captain Lord.\nOutput: 3 - probably\n\nInput: Sentence 1: There is no freedom of religion. Sentence 2: There is no freedom of speech.\nOutput: 1 - probably not\n\nInput: Sentence 1: My teachers have told me it is bad for you. Sentence 2: officers have told me its bad for you.\nOutput: 2 - possibly\n\nInput: Sentence 1: A man is smoking. Sentence 2: A man is skating.\nOutput: 0 - definitely not\n\nInput: Sentence 1: The black and white dog runs through the grass. Sentence 2: A black and white dog is running through grass.\nOutput: 5 - perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Stone notified Captain Lord. Sentence 2: He too notified Captain Lord.\nOutput: 3 - probably\n\nInput: Sentence 1: There is no freedom of religion. Sentence 2: There is no freedom of speech.\nOutput: 1 - probably not\n\nInput: Sentence 1: My teachers have told me it is bad for you. Sentence 2: officers have told me its bad for you.\nOutput: 2 - possibly\n\nInput: Sentence 1: A man is smoking. Sentence 2: A man is skating.\nOutput: 0 - definitely not\n\nInput: Sentence 1: The black and white dog runs through the grass. Sentence 2: A black and white dog is running through grass.\nOutput: 5 - perfectly" } }, "75": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Five cows are grazing beside the road. Sentence 2: Several sheep grazing in the field.\nOutput: 1 - probably not\n\nInput: Sentence 1: Lionel Richie is dancing on the ceiling. Sentence 2: Lionel Ritchie dances while standing on the ceiling.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: 9 dead, 11 hurt, 4 missing in Mont Blanc avalanche Sentence 2: 6 dead, several missing in Mont Blanc avalanche\nOutput: 2 - possibly\n\nInput: Sentence 1: A man is dancing on the ceiling. Sentence 2: A man is dancing on the ceiling of a room.\nOutput: 5 - perfectly\n\nInput: Sentence 1: A woman is dancing by a fire. Sentence 2: A man ties a noose.\nOutput: 0 - definitely not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Five cows are grazing beside the road. Sentence 2: Several sheep grazing in the field.\nOutput: 1 - probably not\n\nInput: Sentence 1: Lionel Richie is dancing on the ceiling. Sentence 2: Lionel Ritchie dances while standing on the ceiling.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: 9 dead, 11 hurt, 4 missing in Mont Blanc avalanche Sentence 2: 6 dead, several missing in Mont Blanc avalanche\nOutput: 2 - possibly\n\nInput: Sentence 1: A man is dancing on the ceiling. Sentence 2: A man is dancing on the ceiling of a room.\nOutput: 5 - perfectly\n\nInput: Sentence 1: A woman is dancing by a fire. Sentence 2: A man ties a noose.\nOutput: 0 - definitely not" } }, "76": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A man shooting a car. Sentence 2: A man is cutting a potato.\nOutput: 0 - definitely not\n\nInput: Sentence 1: Bradley Manning acquitted of aiding the enemy Sentence 2: Wikileaks soldier Bradley Manning acquitted of aiding the enemy\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: international atomic energy association is the united nations watchdog. Sentence 2: the international atomic energy agency is the u.n.'s nuclear watchdog.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Iron Dome intercepts 17 rockets Sentence 2: Iron Dome intercepts two rockets fired at Beersheba\nOutput: 3 - probably\n\nInput: Sentence 1: Bright but scatterbrained becomes \"treat with drugs\". Sentence 2: Opinionated and stubborn becomes treat with drugs\".\nOutput: 2 - possibly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A man shooting a car. Sentence 2: A man is cutting a potato.\nOutput: 0 - definitely not\n\nInput: Sentence 1: Bradley Manning acquitted of aiding the enemy Sentence 2: Wikileaks soldier Bradley Manning acquitted of aiding the enemy\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: international atomic energy association is the united nations watchdog. Sentence 2: the international atomic energy agency is the u.n.'s nuclear watchdog.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Iron Dome intercepts 17 rockets Sentence 2: Iron Dome intercepts two rockets fired at Beersheba\nOutput: 3 - probably\n\nInput: Sentence 1: Bright but scatterbrained becomes \"treat with drugs\". Sentence 2: Opinionated and stubborn becomes treat with drugs\".\nOutput: 2 - possibly" } }, "77": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A kangroo is eating something. Sentence 2: A kangaroo is eating.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Indian army kill 3 militants in Indian-controlled Kashmir Sentence 2: Indian troops kill militant commander in Indian-controlled Kashmir\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: A man is kicking oots of water. Sentence 2: A woman is slicing a red pepper.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A person is riding a horse. Sentence 2: A man is riding a motorcycle.\nOutput: 2 - possibly\n\nInput: Sentence 1: Indian media: Commonwealth summit Sentence 2: Indian PM snubs Commonwealth summit\nOutput: 3 - probably\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A kangroo is eating something. Sentence 2: A kangaroo is eating.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Indian army kill 3 militants in Indian-controlled Kashmir Sentence 2: Indian troops kill militant commander in Indian-controlled Kashmir\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: A man is kicking oots of water. Sentence 2: A woman is slicing a red pepper.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A person is riding a horse. Sentence 2: A man is riding a motorcycle.\nOutput: 2 - possibly\n\nInput: Sentence 1: Indian media: Commonwealth summit Sentence 2: Indian PM snubs Commonwealth summit\nOutput: 3 - probably" } }, "78": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Two men charged with terrorism offences Sentence 2: Saudi-born Nigerian charged with terrorism in New York\nOutput: 2 - possibly\n\nInput: Sentence 1: Hard-line Jewish leader shot in Jerusalem Sentence 2: Israeli leader urges calm in Jerusalem\nOutput: 1 - probably not\n\nInput: Sentence 1: Knesset speaker: Obama reelection bad for Israel Sentence 2: 7 states sue over Obama administration's birth control rule\nOutput: 0 - definitely not\n\nInput: Sentence 1: Gunmen kill 10 foreign tourists in northern Pakistan Sentence 2: Islamic militants kill 9 foreign tourists, 1 Pakistani\nOutput: 3 - probably\n\nInput: Sentence 1: Ankeet Chavan granted conditional bail for marriage Sentence 2: Ankeet Chavan granted bail to get married\nOutput: 5 - perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Two men charged with terrorism offences Sentence 2: Saudi-born Nigerian charged with terrorism in New York\nOutput: 2 - possibly\n\nInput: Sentence 1: Hard-line Jewish leader shot in Jerusalem Sentence 2: Israeli leader urges calm in Jerusalem\nOutput: 1 - probably not\n\nInput: Sentence 1: Knesset speaker: Obama reelection bad for Israel Sentence 2: 7 states sue over Obama administration's birth control rule\nOutput: 0 - definitely not\n\nInput: Sentence 1: Gunmen kill 10 foreign tourists in northern Pakistan Sentence 2: Islamic militants kill 9 foreign tourists, 1 Pakistani\nOutput: 3 - probably\n\nInput: Sentence 1: Ankeet Chavan granted conditional bail for marriage Sentence 2: Ankeet Chavan granted bail to get married\nOutput: 5 - perfectly" } }, "79": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Narendra Modi pledges tough stand against Pakistan Sentence 2: India’s Modi promises tough stance against Pakistan\nOutput: 5 - perfectly\n\nInput: Sentence 1: A person is slicing an onion. Sentence 2: A cat is pooping into a toilet.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A dog licks up a baby's drool. Sentence 2: A dog licks a baby.\nOutput: 2 - possibly\n\nInput: Sentence 1: Two young women shear a sheep. Sentence 2: Two women sheering a sheep.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Georgians vote for new president Sentence 2: Ally of Georgia's billionaire PM to be president -exit polls\nOutput: 3 - probably\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Narendra Modi pledges tough stand against Pakistan Sentence 2: India’s Modi promises tough stance against Pakistan\nOutput: 5 - perfectly\n\nInput: Sentence 1: A person is slicing an onion. Sentence 2: A cat is pooping into a toilet.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A dog licks up a baby's drool. Sentence 2: A dog licks a baby.\nOutput: 2 - possibly\n\nInput: Sentence 1: Two young women shear a sheep. Sentence 2: Two women sheering a sheep.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Georgians vote for new president Sentence 2: Ally of Georgia's billionaire PM to be president -exit polls\nOutput: 3 - probably" } }, "80": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A man is singing. Sentence 2: A man is dancing.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A man is walking with a horse. Sentence 2: A man is leading a horse around by it's halter.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Protesters gather in Brazil despite concessions Sentence 2: Protests continue in Ukraine despite concessions\nOutput: 1 - probably not\n\nInput: Sentence 1: U.S. resumes search for missing British sailors after public Sentence 2: US Coast Guard suspends search for missing British sailors\nOutput: 2 - possibly\n\nInput: Sentence 1: Man killed in French terror raid Sentence 2: Man dies in French 'anti-terror operation'\nOutput: 5 - perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A man is singing. Sentence 2: A man is dancing.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A man is walking with a horse. Sentence 2: A man is leading a horse around by it's halter.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Protesters gather in Brazil despite concessions Sentence 2: Protests continue in Ukraine despite concessions\nOutput: 1 - probably not\n\nInput: Sentence 1: U.S. resumes search for missing British sailors after public Sentence 2: US Coast Guard suspends search for missing British sailors\nOutput: 2 - possibly\n\nInput: Sentence 1: Man killed in French terror raid Sentence 2: Man dies in French 'anti-terror operation'\nOutput: 5 - perfectly" } }, "81": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Jake with the assist. Sentence 2: Voracek with the goal.\nOutput: 0 - definitely not\n\nInput: Sentence 1: You didn't mention PFA before that one post. Sentence 2: I didn't mention restraining order either.\nOutput: 1 - probably not\n\nInput: Sentence 1: A little girl holds a wooden stick. Sentence 2: A little girl swimming in a pool.\nOutput: 2 - possibly\n\nInput: Sentence 1: Judge OKs force-feeding California inmates Sentence 2: U.S. judge approves force-feeding Californian inmates on hunger strik\nOutput: 5 - perfectly\n\nInput: Sentence 1: China launches probe and rover to moon Sentence 2: China launches first moon rover mission\nOutput: 4 - almost perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Jake with the assist. Sentence 2: Voracek with the goal.\nOutput: 0 - definitely not\n\nInput: Sentence 1: You didn't mention PFA before that one post. Sentence 2: I didn't mention restraining order either.\nOutput: 1 - probably not\n\nInput: Sentence 1: A little girl holds a wooden stick. Sentence 2: A little girl swimming in a pool.\nOutput: 2 - possibly\n\nInput: Sentence 1: Judge OKs force-feeding California inmates Sentence 2: U.S. judge approves force-feeding Californian inmates on hunger strik\nOutput: 5 - perfectly\n\nInput: Sentence 1: China launches probe and rover to moon Sentence 2: China launches first moon rover mission\nOutput: 4 - almost perfectly" } }, "82": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Carney sets high bar to change at BoE Sentence 2: Carney sets high bar to changes at Bank of England\nOutput: 5 - perfectly\n\nInput: Sentence 1: Two puppies are playing with each other. Sentence 2: Some men are playing soccer.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A school bus is driving uphill on a rural road. Sentence 2: A race care driving along a dirt road.\nOutput: 1 - probably not\n\nInput: Sentence 1: Microsoft's Surface a big bet on future: Analysts Sentence 2: Microsoft's Surface tablet promising, but questions remain\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Sierra Leone in Ebola lockdown Sentence 2: Sierra Leone Reaches Final Day of Ebola Lockdown\nOutput: 3 - probably\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Carney sets high bar to change at BoE Sentence 2: Carney sets high bar to changes at Bank of England\nOutput: 5 - perfectly\n\nInput: Sentence 1: Two puppies are playing with each other. Sentence 2: Some men are playing soccer.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A school bus is driving uphill on a rural road. Sentence 2: A race care driving along a dirt road.\nOutput: 1 - probably not\n\nInput: Sentence 1: Microsoft's Surface a big bet on future: Analysts Sentence 2: Microsoft's Surface tablet promising, but questions remain\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Sierra Leone in Ebola lockdown Sentence 2: Sierra Leone Reaches Final Day of Ebola Lockdown\nOutput: 3 - probably" } }, "83": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A brown dog is running through green grass. Sentence 2: A brown dog is running though a river.\nOutput: 2 - possibly\n\nInput: Sentence 1: five people standing on a sidewalk Sentence 2: Five people on a sidewalk.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Car bomb kills one and wounds five in Benghazi Sentence 2: Car bomb hits Libyan Foreign Ministry in Benghazi\nOutput: 3 - probably\n\nInput: Sentence 1: Gunmen ambush police boat in Nigeria oil region Sentence 2: Sudanese police block protest at human rights commission\nOutput: 0 - definitely not\n\nInput: Sentence 1: The dog returns the play toy to its master. Sentence 2: Three dogs race in the snow together.\nOutput: 1 - probably not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A brown dog is running through green grass. Sentence 2: A brown dog is running though a river.\nOutput: 2 - possibly\n\nInput: Sentence 1: five people standing on a sidewalk Sentence 2: Five people on a sidewalk.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Car bomb kills one and wounds five in Benghazi Sentence 2: Car bomb hits Libyan Foreign Ministry in Benghazi\nOutput: 3 - probably\n\nInput: Sentence 1: Gunmen ambush police boat in Nigeria oil region Sentence 2: Sudanese police block protest at human rights commission\nOutput: 0 - definitely not\n\nInput: Sentence 1: The dog returns the play toy to its master. Sentence 2: Three dogs race in the snow together.\nOutput: 1 - probably not" } }, "84": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Two baby pandas are playing. Sentence 2: Two pandas are laying together.\nOutput: 3 - probably\n\nInput: Sentence 1: zahedan is a city in southeastern Sentence 2: bam is a city in southeastern\nOutput: 2 - possibly\n\nInput: Sentence 1: Child sliding in the snow. Sentence 2: Man sleeping on the street.\nOutput: 0 - definitely not\n\nInput: Sentence 1: An animal run in circles. Sentence 2: A squirrel runs in circles.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Cristiano Ronaldo hat-trick fires Portugal to 2014 World Cup finals Sentence 2: Ronaldo hat-trick fires Portugal to World Cup\nOutput: 5 - perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Two baby pandas are playing. Sentence 2: Two pandas are laying together.\nOutput: 3 - probably\n\nInput: Sentence 1: zahedan is a city in southeastern Sentence 2: bam is a city in southeastern\nOutput: 2 - possibly\n\nInput: Sentence 1: Child sliding in the snow. Sentence 2: Man sleeping on the street.\nOutput: 0 - definitely not\n\nInput: Sentence 1: An animal run in circles. Sentence 2: A squirrel runs in circles.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Cristiano Ronaldo hat-trick fires Portugal to 2014 World Cup finals Sentence 2: Ronaldo hat-trick fires Portugal to World Cup\nOutput: 5 - perfectly" } }, "85": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: the iranian government stated-- the iranian nuclear program remains peaceful. Sentence 2: the iranian government says the nuclear program is peaceful.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Singapore stocks close 0.44 pct lower Sentence 2: Singapore stocks close 0.5 pct higher\nOutput: 3 - probably\n\nInput: Sentence 1: Arsenal v Stoke City ‚Äď live! Sentence 2: Tottenham v Manchester City ‚Äď live!\nOutput: 2 - possibly\n\nInput: Sentence 1: A woman is putting on makeup. Sentence 2: A band is singing.\nOutput: 0 - definitely not\n\nInput: Sentence 1: Microsoft's Surface a big bet on future: Analysts Sentence 2: Microsoft's Surface tablet promising, but questions remain\nOutput: 4 - almost perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: the iranian government stated-- the iranian nuclear program remains peaceful. Sentence 2: the iranian government says the nuclear program is peaceful.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Singapore stocks close 0.44 pct lower Sentence 2: Singapore stocks close 0.5 pct higher\nOutput: 3 - probably\n\nInput: Sentence 1: Arsenal v Stoke City ‚Äď live! Sentence 2: Tottenham v Manchester City ‚Äď live!\nOutput: 2 - possibly\n\nInput: Sentence 1: A woman is putting on makeup. Sentence 2: A band is singing.\nOutput: 0 - definitely not\n\nInput: Sentence 1: Microsoft's Surface a big bet on future: Analysts Sentence 2: Microsoft's Surface tablet promising, but questions remain\nOutput: 4 - almost perfectly" } }, "86": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Ankeet Chavan granted conditional bail for marriage Sentence 2: Ankeet Chavan granted bail to get married\nOutput: 5 - perfectly\n\nInput: Sentence 1: South Korea Says North Fired Missiles Sentence 2: North Korea launches short-range missiles\nOutput: 2 - possibly\n\nInput: Sentence 1: China's troubled Xinjiang hit by more violence Sentence 2: China's online population rises to 618 mln\nOutput: 0 - definitely not\n\nInput: Sentence 1: A woman serving volleyballs over a net. Sentence 2: One woman hands volleyballs to another woman who serves them.\nOutput: 3 - probably\n\nInput: Sentence 1: A man is running. Sentence 2: A man is mooing.\nOutput: 1 - probably not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Ankeet Chavan granted conditional bail for marriage Sentence 2: Ankeet Chavan granted bail to get married\nOutput: 5 - perfectly\n\nInput: Sentence 1: South Korea Says North Fired Missiles Sentence 2: North Korea launches short-range missiles\nOutput: 2 - possibly\n\nInput: Sentence 1: China's troubled Xinjiang hit by more violence Sentence 2: China's online population rises to 618 mln\nOutput: 0 - definitely not\n\nInput: Sentence 1: A woman serving volleyballs over a net. Sentence 2: One woman hands volleyballs to another woman who serves them.\nOutput: 3 - probably\n\nInput: Sentence 1: A man is running. Sentence 2: A man is mooing.\nOutput: 1 - probably not" } }, "87": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Iraq violence kills 11 Sentence 2: Iraq violence kills seven\nOutput: 2 - possibly\n\nInput: Sentence 1: A animal is eating. Sentence 2: The animal is hopping.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A man is tying his shoe. Sentence 2: A man ties his shoe.\nOutput: 5 - perfectly\n\nInput: Sentence 1: New York Stock Exchange to reopen Wednesday Sentence 2: DealBook: Stock Exchanges Prepare to Open\nOutput: 3 - probably\n\nInput: Sentence 1: Egyptian police fire tear gas at protesters in Cairo Sentence 2: Police fire tear gas at protesters in Cairo\nOutput: 4 - almost perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Iraq violence kills 11 Sentence 2: Iraq violence kills seven\nOutput: 2 - possibly\n\nInput: Sentence 1: A animal is eating. Sentence 2: The animal is hopping.\nOutput: 0 - definitely not\n\nInput: Sentence 1: A man is tying his shoe. Sentence 2: A man ties his shoe.\nOutput: 5 - perfectly\n\nInput: Sentence 1: New York Stock Exchange to reopen Wednesday Sentence 2: DealBook: Stock Exchanges Prepare to Open\nOutput: 3 - probably\n\nInput: Sentence 1: Egyptian police fire tear gas at protesters in Cairo Sentence 2: Police fire tear gas at protesters in Cairo\nOutput: 4 - almost perfectly" } }, "88": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Israel ends airstrike case; Palestinians critical Sentence 2: Israeli gunboats fire at Palestinian fishermen\nOutput: 1 - probably not\n\nInput: Sentence 1: Fitch upgrades Ford to investment grade Sentence 2: Fitch restores Ford credit to investment grade\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Egypt's opposition criticizes president's speech Sentence 2: Pakistan's opposition party boycotts presidential elections\nOutput: 0 - definitely not\n\nInput: Sentence 1: Singapore shares open 0.31% higher on Monday Sentence 2: Singapore shares open lower on Monday\nOutput: 2 - possibly\n\nInput: Sentence 1: A woman is playing flute. Sentence 2: A woman plays on a flute.\nOutput: 5 - perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Israel ends airstrike case; Palestinians critical Sentence 2: Israeli gunboats fire at Palestinian fishermen\nOutput: 1 - probably not\n\nInput: Sentence 1: Fitch upgrades Ford to investment grade Sentence 2: Fitch restores Ford credit to investment grade\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Egypt's opposition criticizes president's speech Sentence 2: Pakistan's opposition party boycotts presidential elections\nOutput: 0 - definitely not\n\nInput: Sentence 1: Singapore shares open 0.31% higher on Monday Sentence 2: Singapore shares open lower on Monday\nOutput: 2 - possibly\n\nInput: Sentence 1: A woman is playing flute. Sentence 2: A woman plays on a flute.\nOutput: 5 - perfectly" } }, "89": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A rooster pecks at a dead mouse. Sentence 2: A chicken is pecking at a dead mouse.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Cryptic crossword - Saturday 27th April Sentence 2: Quiz crossword - Saturday 27th April\nOutput: 3 - probably\n\nInput: Sentence 1: My teachers have told me it is bad for you. Sentence 2: officers have told me its bad for you.\nOutput: 2 - possibly\n\nInput: Sentence 1: Thai opposition protesters begin Bangkok shutdown Sentence 2: Thai protesters launch Bangkok 'shutdown'\nOutput: 5 - perfectly\n\nInput: Sentence 1: The woman is smoking. Sentence 2: The man is walking.\nOutput: 0 - definitely not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A rooster pecks at a dead mouse. Sentence 2: A chicken is pecking at a dead mouse.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Cryptic crossword - Saturday 27th April Sentence 2: Quiz crossword - Saturday 27th April\nOutput: 3 - probably\n\nInput: Sentence 1: My teachers have told me it is bad for you. Sentence 2: officers have told me its bad for you.\nOutput: 2 - possibly\n\nInput: Sentence 1: Thai opposition protesters begin Bangkok shutdown Sentence 2: Thai protesters launch Bangkok 'shutdown'\nOutput: 5 - perfectly\n\nInput: Sentence 1: The woman is smoking. Sentence 2: The man is walking.\nOutput: 0 - definitely not" } }, "90": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Life-threatening Midwest storms feared Sentence 2: 'Life-Threatening' Storms Feared for Midwest\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: An overweight man is skipping rope. Sentence 2: A young man is dancing.\nOutput: 1 - probably not\n\nInput: Sentence 1: A man is playing a guitar. Sentence 2: A woman is dancing.\nOutput: 0 - definitely not\n\nInput: Sentence 1: Cryptic crossword - Saturday 27th April Sentence 2: Quiz crossword - Saturday 27th April\nOutput: 3 - probably\n\nInput: Sentence 1: Sheryl Crow says has benign brain tumor Sentence 2: Sheryl Crow Has a Benign Brain Tumor\nOutput: 5 - perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Life-threatening Midwest storms feared Sentence 2: 'Life-Threatening' Storms Feared for Midwest\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: An overweight man is skipping rope. Sentence 2: A young man is dancing.\nOutput: 1 - probably not\n\nInput: Sentence 1: A man is playing a guitar. Sentence 2: A woman is dancing.\nOutput: 0 - definitely not\n\nInput: Sentence 1: Cryptic crossword - Saturday 27th April Sentence 2: Quiz crossword - Saturday 27th April\nOutput: 3 - probably\n\nInput: Sentence 1: Sheryl Crow says has benign brain tumor Sentence 2: Sheryl Crow Has a Benign Brain Tumor\nOutput: 5 - perfectly" } }, "91": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A passenger train waiting in a station. Sentence 2: A passenger train sits in the station.\nOutput: 5 - perfectly\n\nInput: Sentence 1: it is a serious threat to international security. Sentence 2: it presents a major threat to global security.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Israeli doctors could be tried abroad for force-feeding Palestinian prisoners Sentence 2: Israel's West Bank control 'costing Palestinian economy billions'\nOutput: 0 - definitely not\n\nInput: Sentence 1: Syria 'to declare chemical weapons and sign convention' Sentence 2: Russia, Syria Work on 'Concrete' Chemical Weapons Plan\nOutput: 3 - probably\n\nInput: Sentence 1: The black and white dog is swimming in the river. Sentence 2: A black man and his dog on the beach.\nOutput: 1 - probably not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A passenger train waiting in a station. Sentence 2: A passenger train sits in the station.\nOutput: 5 - perfectly\n\nInput: Sentence 1: it is a serious threat to international security. Sentence 2: it presents a major threat to global security.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Israeli doctors could be tried abroad for force-feeding Palestinian prisoners Sentence 2: Israel's West Bank control 'costing Palestinian economy billions'\nOutput: 0 - definitely not\n\nInput: Sentence 1: Syria 'to declare chemical weapons and sign convention' Sentence 2: Russia, Syria Work on 'Concrete' Chemical Weapons Plan\nOutput: 3 - probably\n\nInput: Sentence 1: The black and white dog is swimming in the river. Sentence 2: A black man and his dog on the beach.\nOutput: 1 - probably not" } }, "92": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: South Africa's Mandela taken to hospital Sentence 2: Nelson Mandela taken to hospital\nOutput: 5 - perfectly\n\nInput: Sentence 1: Tropical Storm Isaac drenches Haiti, swipes Cuba Sentence 2: Tropical Storm Isaac threatens dam\nOutput: 1 - probably not\n\nInput: Sentence 1: A woman is playing the flute. Sentence 2: A woman is slicing some tuna.\nOutput: 0 - definitely not\n\nInput: Sentence 1: F1 protests in Bahrain Sentence 2: A day of rage in Bahrain\nOutput: 2 - possibly\n\nInput: Sentence 1: Israel frees Palestinian prisoners Sentence 2: Gov't committee approves release of 26 Palestinian prisoners\nOutput: 3 - probably\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: South Africa's Mandela taken to hospital Sentence 2: Nelson Mandela taken to hospital\nOutput: 5 - perfectly\n\nInput: Sentence 1: Tropical Storm Isaac drenches Haiti, swipes Cuba Sentence 2: Tropical Storm Isaac threatens dam\nOutput: 1 - probably not\n\nInput: Sentence 1: A woman is playing the flute. Sentence 2: A woman is slicing some tuna.\nOutput: 0 - definitely not\n\nInput: Sentence 1: F1 protests in Bahrain Sentence 2: A day of rage in Bahrain\nOutput: 2 - possibly\n\nInput: Sentence 1: Israel frees Palestinian prisoners Sentence 2: Gov't committee approves release of 26 Palestinian prisoners\nOutput: 3 - probably" } }, "93": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Winter Storm Ion: State-By-State... Sentence 2: Winter Storm Janus: State-by-State...\nOutput: 3 - probably\n\nInput: Sentence 1: A girl riding a brown horse. Sentence 2: The jockey is wearing purple and riding a brown horse.\nOutput: 2 - possibly\n\nInput: Sentence 1: N Korea says it may delay controversial rocket launch Sentence 2: N. Korea looks set to delay controversial rocket launch\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Heavy smog hits north China city, flights cancelled Sentence 2: Heavy Smog Hits North China City, Flights Canceled\nOutput: 5 - perfectly\n\nInput: Sentence 1: Two men are setting up some electronic equpitment Sentence 2: Two dogs are wrestling on the ground in the snow.\nOutput: 0 - definitely not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Winter Storm Ion: State-By-State... Sentence 2: Winter Storm Janus: State-by-State...\nOutput: 3 - probably\n\nInput: Sentence 1: A girl riding a brown horse. Sentence 2: The jockey is wearing purple and riding a brown horse.\nOutput: 2 - possibly\n\nInput: Sentence 1: N Korea says it may delay controversial rocket launch Sentence 2: N. Korea looks set to delay controversial rocket launch\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Heavy smog hits north China city, flights cancelled Sentence 2: Heavy Smog Hits North China City, Flights Canceled\nOutput: 5 - perfectly\n\nInput: Sentence 1: Two men are setting up some electronic equpitment Sentence 2: Two dogs are wrestling on the ground in the snow.\nOutput: 0 - definitely not" } }, "94": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The man was pushed into the water. Sentence 2: A man pushes another man into the ocean.\nOutput: 2 - possibly\n\nInput: Sentence 1: Polling stations open at Ukrainian presidential election Sentence 2: Nominations open for e.TV Ghana Most Influential Awards\nOutput: 0 - definitely not\n\nInput: Sentence 1: Armstrong steps down from Livestrong Sentence 2: Armstrong standing down from Livestrong\nOutput: 5 - perfectly\n\nInput: Sentence 1: Maldives president quits after police mutiny, protests Sentence 2: Maldives president quits after weeks of protest\nOutput: 3 - probably\n\nInput: Sentence 1: 'Scores of bodies' found in Syria Sentence 2: Eight more bodies found on ship\nOutput: 1 - probably not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The man was pushed into the water. Sentence 2: A man pushes another man into the ocean.\nOutput: 2 - possibly\n\nInput: Sentence 1: Polling stations open at Ukrainian presidential election Sentence 2: Nominations open for e.TV Ghana Most Influential Awards\nOutput: 0 - definitely not\n\nInput: Sentence 1: Armstrong steps down from Livestrong Sentence 2: Armstrong standing down from Livestrong\nOutput: 5 - perfectly\n\nInput: Sentence 1: Maldives president quits after police mutiny, protests Sentence 2: Maldives president quits after weeks of protest\nOutput: 3 - probably\n\nInput: Sentence 1: 'Scores of bodies' found in Syria Sentence 2: Eight more bodies found on ship\nOutput: 1 - probably not" } }, "95": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The woman is peeling shrimp. Sentence 2: The man is holding a lemur.\nOutput: 0 - definitely not\n\nInput: Sentence 1: Merkel Vies 3rd Term in Office in Germany Elections Sentence 2: Merkel Wins Big in Germany Election\nOutput: 3 - probably\n\nInput: Sentence 1: A woman pets a dog in a fenced area. Sentence 2: A woman pets a dog in a gated yard.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Heavy Fighting Reported in Syria's Aleppo Sentence 2: Heavy fighting reported in Damascus\nOutput: 1 - probably not\n\nInput: Sentence 1: Crowds Gather in Bethlehem for Christmas Sentence 2: Oh, little town of Bethlehem — for real\nOutput: 2 - possibly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The woman is peeling shrimp. Sentence 2: The man is holding a lemur.\nOutput: 0 - definitely not\n\nInput: Sentence 1: Merkel Vies 3rd Term in Office in Germany Elections Sentence 2: Merkel Wins Big in Germany Election\nOutput: 3 - probably\n\nInput: Sentence 1: A woman pets a dog in a fenced area. Sentence 2: A woman pets a dog in a gated yard.\nOutput: 5 - perfectly\n\nInput: Sentence 1: Heavy Fighting Reported in Syria's Aleppo Sentence 2: Heavy fighting reported in Damascus\nOutput: 1 - probably not\n\nInput: Sentence 1: Crowds Gather in Bethlehem for Christmas Sentence 2: Oh, little town of Bethlehem — for real\nOutput: 2 - possibly" } }, "96": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The man is peeling an apple. Sentence 2: A man peels an apple.\nOutput: 5 - perfectly\n\nInput: Sentence 1: A black and white cat lying on a blanket. Sentence 2: A black and white cat laying on a cat bed.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Iran predicts failure of Israeli-Palestinian peace talks Sentence 2: Tentative Deal Reached to Resume Israeli-Palestinian Talks - US\nOutput: 1 - probably not\n\nInput: Sentence 1: Democracy is a threat to liberty. Sentence 2: Democracy has nothing to do with liberty.\nOutput: 2 - possibly\n\nInput: Sentence 1: Man arrested after police officer shot in Leeds Sentence 2: Navy panel urges ouster of officer who faked death\nOutput: 0 - definitely not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The man is peeling an apple. Sentence 2: A man peels an apple.\nOutput: 5 - perfectly\n\nInput: Sentence 1: A black and white cat lying on a blanket. Sentence 2: A black and white cat laying on a cat bed.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Iran predicts failure of Israeli-Palestinian peace talks Sentence 2: Tentative Deal Reached to Resume Israeli-Palestinian Talks - US\nOutput: 1 - probably not\n\nInput: Sentence 1: Democracy is a threat to liberty. Sentence 2: Democracy has nothing to do with liberty.\nOutput: 2 - possibly\n\nInput: Sentence 1: Man arrested after police officer shot in Leeds Sentence 2: Navy panel urges ouster of officer who faked death\nOutput: 0 - definitely not" } }, "97": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: This eclipses the old record of set in . Sentence 2: This breaks the daily record of set in .\nOutput: 5 - perfectly\n\nInput: Sentence 1: The men are fighting each other. Sentence 2: The man drew on the white paper.\nOutput: 0 - definitely not\n\nInput: Sentence 1: Man dies in Co Donegal house fire Sentence 2: Woman dies in Co Cork house fire\nOutput: 2 - possibly\n\nInput: Sentence 1: Someone is carving a statue. Sentence 2: A man is carving a statue.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: The UK population is just over million. Sentence 2: The Japanese population is nearly million.\nOutput: 1 - probably not\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: This eclipses the old record of set in . Sentence 2: This breaks the daily record of set in .\nOutput: 5 - perfectly\n\nInput: Sentence 1: The men are fighting each other. Sentence 2: The man drew on the white paper.\nOutput: 0 - definitely not\n\nInput: Sentence 1: Man dies in Co Donegal house fire Sentence 2: Woman dies in Co Cork house fire\nOutput: 2 - possibly\n\nInput: Sentence 1: Someone is carving a statue. Sentence 2: A man is carving a statue.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: The UK population is just over million. Sentence 2: The Japanese population is nearly million.\nOutput: 1 - probably not" } }, "98": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The men are playing cricket. Sentence 2: The men are playing basketball.\nOutput: 2 - possibly\n\nInput: Sentence 1: BBC veteran Hall admits child sex abuse Sentence 2: Stuart Hall Admits Sex Assaults On Children\nOutput: 3 - probably\n\nInput: Sentence 1: Mali's Tuareg rebels declare independence Sentence 2: Mali rebels declare independent 'Azawad'\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: A man is walking on a rope. Sentence 2: A man is riding a mo-pad.\nOutput: 0 - definitely not\n\nInput: Sentence 1: helmand province is the world's largest opium-producing region. Sentence 2: helmand province is the world's largest producer of opium.\nOutput: 5 - perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The men are playing cricket. Sentence 2: The men are playing basketball.\nOutput: 2 - possibly\n\nInput: Sentence 1: BBC veteran Hall admits child sex abuse Sentence 2: Stuart Hall Admits Sex Assaults On Children\nOutput: 3 - probably\n\nInput: Sentence 1: Mali's Tuareg rebels declare independence Sentence 2: Mali rebels declare independent 'Azawad'\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: A man is walking on a rope. Sentence 2: A man is riding a mo-pad.\nOutput: 0 - definitely not\n\nInput: Sentence 1: helmand province is the world's largest opium-producing region. Sentence 2: helmand province is the world's largest producer of opium.\nOutput: 5 - perfectly" } }, "99": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A man is folding paper. Sentence 2: A woman is slicing a pepper.\nOutput: 1 - probably not\n\nInput: Sentence 1: 22 dead in suicide attack on Yemen police academy Sentence 2: AU forces intensify attack on Somali rebels\nOutput: 0 - definitely not\n\nInput: Sentence 1: Soccer players are kicking a soccer ball into the goal. Sentence 2: A soccer player scores a goal.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Three more US soldiers killed in Afghanistan Sentence 2: NATO Soldier Killed in Afghanistan\nOutput: 2 - possibly\n\nInput: Sentence 1: N. Korea's Kim hails execution of powerful uncle Sentence 2: North Korea's Kim seen behind sacking of powerful uncle\nOutput: 5 - perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A man is folding paper. Sentence 2: A woman is slicing a pepper.\nOutput: 1 - probably not\n\nInput: Sentence 1: 22 dead in suicide attack on Yemen police academy Sentence 2: AU forces intensify attack on Somali rebels\nOutput: 0 - definitely not\n\nInput: Sentence 1: Soccer players are kicking a soccer ball into the goal. Sentence 2: A soccer player scores a goal.\nOutput: 4 - almost perfectly\n\nInput: Sentence 1: Three more US soldiers killed in Afghanistan Sentence 2: NATO Soldier Killed in Afghanistan\nOutput: 2 - possibly\n\nInput: Sentence 1: N. Korea's Kim hails execution of powerful uncle Sentence 2: North Korea's Kim seen behind sacking of powerful uncle\nOutput: 5 - perfectly" } }, "100": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: You are a Christian. Sentence 2: Therefore you are not a Christian.\nOutput: 1 - probably not\n\nInput: Sentence 1: NATO US troop detained over shooting of Afghan civilians Sentence 2: U.S. says saddened by shooting on Afghan civilians\nOutput: 2 - possibly\n\nInput: Sentence 1: A woman puts ingredients in a whisked egg. Sentence 2: A man pours gasoline.\nOutput: 0 - definitely not\n\nInput: Sentence 1: Obama Praises Mandela 'Inspiration' Sentence 2: Obama hails Mandela's inspiration effect\nOutput: 5 - perfectly\n\nInput: Sentence 1: Critical Gates memoir rocks Obama administration Sentence 2: Gates blast rocks Obama administration\nOutput: 4 - almost perfectly\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: You are a Christian. Sentence 2: Therefore you are not a Christian.\nOutput: 1 - probably not\n\nInput: Sentence 1: NATO US troop detained over shooting of Afghan civilians Sentence 2: U.S. says saddened by shooting on Afghan civilians\nOutput: 2 - possibly\n\nInput: Sentence 1: A woman puts ingredients in a whisked egg. Sentence 2: A man pours gasoline.\nOutput: 0 - definitely not\n\nInput: Sentence 1: Obama Praises Mandela 'Inspiration' Sentence 2: Obama hails Mandela's inspiration effect\nOutput: 5 - perfectly\n\nInput: Sentence 1: Critical Gates memoir rocks Obama administration Sentence 2: Gates blast rocks Obama administration\nOutput: 4 - almost perfectly" } } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/induction_input/sentiment.json ================================================ { "examples": { "1": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Do we really need another film that praises female self-sacrifice?\nOutput: negative\n\nInput: An average B-movie with no aspirations to be anything more.\nOutput: negative\n\nInput: Quietly engaging.\nOutput: positive\n\nInput: It's a diverting enough hour-and-a-half for the family audience.\nOutput: positive\n\nInput: A party-hearty teen flick that scalds like acid.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: Do we really need another film that praises female self-sacrifice?\nOutput: negative\n\nInput: An average B-movie with no aspirations to be anything more.\nOutput: negative\n\nInput: Quietly engaging.\nOutput: positive\n\nInput: It's a diverting enough hour-and-a-half for the family audience.\nOutput: positive\n\nInput: A party-hearty teen flick that scalds like acid.\nOutput: negative" } }, "2": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The Hanukkah spirit seems fried in pork.\nOutput: negative\n\nInput: Jones has delivered a solidly entertaining and moving family drama.\nOutput: positive\n\nInput: It's just rather leaden and dull.\nOutput: negative\n\nInput: Murder by Numbers just doesn't add up.\nOutput: negative\n\nInput: There's plenty to impress about E.T.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: The Hanukkah spirit seems fried in pork.\nOutput: negative\n\nInput: Jones has delivered a solidly entertaining and moving family drama.\nOutput: positive\n\nInput: It's just rather leaden and dull.\nOutput: negative\n\nInput: Murder by Numbers just doesn't add up.\nOutput: negative\n\nInput: There's plenty to impress about E.T.\nOutput: positive" } }, "3": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Generates an enormous feeling of empathy for its characters.\nOutput: positive\n\nInput: Mordantly funny and intimately knowing ...\nOutput: positive\n\nInput: Imagine Susan Sontag falling in love with Howard Stern.\nOutput: negative\n\nInput: Philosophically, intellectually and logistically a mess.\nOutput: negative\n\nInput: It's depressing to see how far Herzog has fallen.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: Generates an enormous feeling of empathy for its characters.\nOutput: positive\n\nInput: Mordantly funny and intimately knowing ...\nOutput: positive\n\nInput: Imagine Susan Sontag falling in love with Howard Stern.\nOutput: negative\n\nInput: Philosophically, intellectually and logistically a mess.\nOutput: negative\n\nInput: It's depressing to see how far Herzog has fallen.\nOutput: negative" } }, "4": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The film is small in scope, yet perfectly formed.\nOutput: positive\n\nInput: The title, alone, should scare any sane person away.\nOutput: negative\n\nInput: Video games are more involving than this mess.\nOutput: negative\n\nInput: Assured, glossy and shot through with brittle desperation.\nOutput: positive\n\nInput: Gets better after Foster leaves that little room.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: The film is small in scope, yet perfectly formed.\nOutput: positive\n\nInput: The title, alone, should scare any sane person away.\nOutput: negative\n\nInput: Video games are more involving than this mess.\nOutput: negative\n\nInput: Assured, glossy and shot through with brittle desperation.\nOutput: positive\n\nInput: Gets better after Foster leaves that little room.\nOutput: positive" } }, "5": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Illiterate, often inert sci-fi action thriller.\nOutput: negative\n\nInput: The cast delivers without sham the raw-nerved story.\nOutput: positive\n\nInput: This is a stunning film, a one-of-a-kind tour de force.\nOutput: positive\n\nInput: A chiller resolutely without chills.\nOutput: negative\n\nInput: an admirable, sometimes exceptional film\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: Illiterate, often inert sci-fi action thriller.\nOutput: negative\n\nInput: The cast delivers without sham the raw-nerved story.\nOutput: positive\n\nInput: This is a stunning film, a one-of-a-kind tour de force.\nOutput: positive\n\nInput: A chiller resolutely without chills.\nOutput: negative\n\nInput: an admirable, sometimes exceptional film\nOutput: positive" } }, "6": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ...a bland, pretentious mess.\nOutput: negative\n\nInput: The satire is unfocused, while the story goes nowhere.\nOutput: negative\n\nInput: A hypnotic portrait of this sad, compulsive life.\nOutput: positive\n\nInput: Well-acted, well-directed and, for all its moodiness, not too pretentious.\nOutput: positive\n\nInput: Undoubtedly the scariest movie ever made about tattoos.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: ...a bland, pretentious mess.\nOutput: negative\n\nInput: The satire is unfocused, while the story goes nowhere.\nOutput: negative\n\nInput: A hypnotic portrait of this sad, compulsive life.\nOutput: positive\n\nInput: Well-acted, well-directed and, for all its moodiness, not too pretentious.\nOutput: positive\n\nInput: Undoubtedly the scariest movie ever made about tattoos.\nOutput: positive" } }, "7": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Intriguing and downright intoxicating.\nOutput: positive\n\nInput: A bright, inventive, thoroughly winning flight of revisionist fancy.\nOutput: positive\n\nInput: Reggio and Glass put on an intoxicating show.\nOutput: positive\n\nInput: ...too sappy for its own good.\nOutput: negative\n\nInput: Make like the title and dodge this one.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: Intriguing and downright intoxicating.\nOutput: positive\n\nInput: A bright, inventive, thoroughly winning flight of revisionist fancy.\nOutput: positive\n\nInput: Reggio and Glass put on an intoxicating show.\nOutput: positive\n\nInput: ...too sappy for its own good.\nOutput: negative\n\nInput: Make like the title and dodge this one.\nOutput: negative" } }, "8": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Rarely has sex on screen been so aggressively anti-erotic.\nOutput: negative\n\nInput: Assayas' ambitious, sometimes beautiful adaptation of Jacques Chardonne's novel.\nOutput: positive\n\nInput: I'd rather watch a rerun of The Powerpuff Girls\nOutput: negative\n\nInput: A tone poem of transgression.\nOutput: positive\n\nInput: ...a bland, pretentious mess.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: Rarely has sex on screen been so aggressively anti-erotic.\nOutput: negative\n\nInput: Assayas' ambitious, sometimes beautiful adaptation of Jacques Chardonne's novel.\nOutput: positive\n\nInput: I'd rather watch a rerun of The Powerpuff Girls\nOutput: negative\n\nInput: A tone poem of transgression.\nOutput: positive\n\nInput: ...a bland, pretentious mess.\nOutput: negative" } }, "9": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The movie is well done, but slow.\nOutput: negative\n\nInput: An authentically vague, but ultimately purposeless, study in total pandemonium.\nOutput: negative\n\nInput: A taut, sobering film.\nOutput: positive\n\nInput: This thing is virtually unwatchable.\nOutput: negative\n\nInput: An infinitely wittier version of the Home Alone formula.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: The movie is well done, but slow.\nOutput: negative\n\nInput: An authentically vague, but ultimately purposeless, study in total pandemonium.\nOutput: negative\n\nInput: A taut, sobering film.\nOutput: positive\n\nInput: This thing is virtually unwatchable.\nOutput: negative\n\nInput: An infinitely wittier version of the Home Alone formula.\nOutput: positive" } }, "10": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ...begins on a high note and sustains it beautifully.\nOutput: positive\n\nInput: Without Shakespeare's eloquent language, the update is dreary and sluggish.\nOutput: negative\n\nInput: The chocolate factory without Charlie.\nOutput: negative\n\nInput: A negligible British comedy.\nOutput: negative\n\nInput: Strange it is, but delightfully so.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: ...begins on a high note and sustains it beautifully.\nOutput: positive\n\nInput: Without Shakespeare's eloquent language, the update is dreary and sluggish.\nOutput: negative\n\nInput: The chocolate factory without Charlie.\nOutput: negative\n\nInput: A negligible British comedy.\nOutput: negative\n\nInput: Strange it is, but delightfully so.\nOutput: positive" } }, "11": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: An almost unbearably morbid love story.\nOutput: negative\n\nInput: Has a solid emotional impact.\nOutput: positive\n\nInput: Awesome work: ineffable, elusive, yet inexplicably powerful\nOutput: positive\n\nInput: ... better described as a ghost story gone badly awry.\nOutput: negative\n\nInput: Feral and uncomfortable.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: An almost unbearably morbid love story.\nOutput: negative\n\nInput: Has a solid emotional impact.\nOutput: positive\n\nInput: Awesome work: ineffable, elusive, yet inexplicably powerful\nOutput: positive\n\nInput: ... better described as a ghost story gone badly awry.\nOutput: negative\n\nInput: Feral and uncomfortable.\nOutput: negative" } }, "12": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: As plain and pedestrian as catsup--\nOutput: negative\n\nInput: A witty, whimsical feature debut.\nOutput: positive\n\nInput: Odd and weird.\nOutput: negative\n\nInput: An uplifting, near-masterpiece.\nOutput: positive\n\nInput: more precious than perspicacious\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: As plain and pedestrian as catsup--\nOutput: negative\n\nInput: A witty, whimsical feature debut.\nOutput: positive\n\nInput: Odd and weird.\nOutput: negative\n\nInput: An uplifting, near-masterpiece.\nOutput: positive\n\nInput: more precious than perspicacious\nOutput: positive" } }, "13": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ...a pretentious mess...\nOutput: negative\n\nInput: Suffers from a flat script and a low budget.\nOutput: negative\n\nInput: All three women deliver remarkable performances.\nOutput: positive\n\nInput: Excruciatingly unfunny and pitifully unromantic.\nOutput: negative\n\nInput: Poignant Japanese epic about adolescent anomie and heartbreak.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: ...a pretentious mess...\nOutput: negative\n\nInput: Suffers from a flat script and a low budget.\nOutput: negative\n\nInput: All three women deliver remarkable performances.\nOutput: positive\n\nInput: Excruciatingly unfunny and pitifully unromantic.\nOutput: negative\n\nInput: Poignant Japanese epic about adolescent anomie and heartbreak.\nOutput: positive" } }, "14": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: An escapist confection that's pure entertainment.\nOutput: positive\n\nInput: Drowning's too good for this sucker.\nOutput: negative\n\nInput: Fast-paced and wonderfully edited, the film is extremely thorough.\nOutput: positive\n\nInput: A high-minded snoozer.\nOutput: negative\n\nInput: It's mildly amusing, but I certainly can't recommend it.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: An escapist confection that's pure entertainment.\nOutput: positive\n\nInput: Drowning's too good for this sucker.\nOutput: negative\n\nInput: Fast-paced and wonderfully edited, the film is extremely thorough.\nOutput: positive\n\nInput: A high-minded snoozer.\nOutput: negative\n\nInput: It's mildly amusing, but I certainly can't recommend it.\nOutput: negative" } }, "15": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Brisk hack job.\nOutput: negative\n\nInput: Highly engaging.\nOutput: positive\n\nInput: One funny popcorn flick.\nOutput: positive\n\nInput: Intriguing and stylish.\nOutput: positive\n\nInput: Another boorish movie from the I-heard-a-joke- at-a-frat-party school of screenwriting.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: Brisk hack job.\nOutput: negative\n\nInput: Highly engaging.\nOutput: positive\n\nInput: One funny popcorn flick.\nOutput: positive\n\nInput: Intriguing and stylish.\nOutput: positive\n\nInput: Another boorish movie from the I-heard-a-joke- at-a-frat-party school of screenwriting.\nOutput: negative" } }, "16": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The film can depress you about life itself.\nOutput: negative\n\nInput: ...the whole thing succeeded only in making me groggy.\nOutput: negative\n\nInput: A surprisingly sweet and gentle comedy.\nOutput: positive\n\nInput: It's super- violent, super-serious and super-stupid.\nOutput: negative\n\nInput: A triumph of pure craft and passionate heart.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: The film can depress you about life itself.\nOutput: negative\n\nInput: ...the whole thing succeeded only in making me groggy.\nOutput: negative\n\nInput: A surprisingly sweet and gentle comedy.\nOutput: positive\n\nInput: It's super- violent, super-serious and super-stupid.\nOutput: negative\n\nInput: A triumph of pure craft and passionate heart.\nOutput: positive" } }, "17": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: A banal, virulently unpleasant excuse for a romantic comedy.\nOutput: negative\n\nInput: Shallow.\nOutput: negative\n\nInput: Invigorating, surreal, and resonant with a rainbow of emotion.\nOutput: positive\n\nInput: I've never bought from telemarketers, but I bought this movie.\nOutput: positive\n\nInput: Collapses under its own meager weight.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: A banal, virulently unpleasant excuse for a romantic comedy.\nOutput: negative\n\nInput: Shallow.\nOutput: negative\n\nInput: Invigorating, surreal, and resonant with a rainbow of emotion.\nOutput: positive\n\nInput: I've never bought from telemarketers, but I bought this movie.\nOutput: positive\n\nInput: Collapses under its own meager weight.\nOutput: negative" } }, "18": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The entire cast is first-rate, especially Sorvino.\nOutput: positive\n\nInput: Horrible.\nOutput: negative\n\nInput: Death might be a release.\nOutput: negative\n\nInput: Neatly constructed thriller.\nOutput: positive\n\nInput: The cast delivers without sham the raw-nerved story.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: The entire cast is first-rate, especially Sorvino.\nOutput: positive\n\nInput: Horrible.\nOutput: negative\n\nInput: Death might be a release.\nOutput: negative\n\nInput: Neatly constructed thriller.\nOutput: positive\n\nInput: The cast delivers without sham the raw-nerved story.\nOutput: positive" } }, "19": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Its rawness and vitality give it considerable punch.\nOutput: positive\n\nInput: Its director's most substantial feature for some time.\nOutput: positive\n\nInput: A gripping drama.\nOutput: positive\n\nInput: Disjointed parody.\nOutput: negative\n\nInput: You can practically hear George Orwell turning over.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: Its rawness and vitality give it considerable punch.\nOutput: positive\n\nInput: Its director's most substantial feature for some time.\nOutput: positive\n\nInput: A gripping drama.\nOutput: positive\n\nInput: Disjointed parody.\nOutput: negative\n\nInput: You can practically hear George Orwell turning over.\nOutput: negative" } }, "20": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Kapur weighs down the tale with bogus profundities.\nOutput: negative\n\nInput: Two-bit potboiler.\nOutput: negative\n\nInput: Competently directed but terminally cute drama.\nOutput: positive\n\nInput: The fetid underbelly of fame has never looked uglier.\nOutput: negative\n\nInput: It's a masterpiece.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: Kapur weighs down the tale with bogus profundities.\nOutput: negative\n\nInput: Two-bit potboiler.\nOutput: negative\n\nInput: Competently directed but terminally cute drama.\nOutput: positive\n\nInput: The fetid underbelly of fame has never looked uglier.\nOutput: negative\n\nInput: It's a masterpiece.\nOutput: positive" } }, "21": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Visually striking and viscerally repellent.\nOutput: positive\n\nInput: a joyous occasion\nOutput: positive\n\nInput: A fairly harmless but ultimately lifeless feature-length afterschool special.\nOutput: negative\n\nInput: Very stupid and annoying.\nOutput: negative\n\nInput: The story is bogus and its characters tissue-thin.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: Visually striking and viscerally repellent.\nOutput: positive\n\nInput: a joyous occasion\nOutput: positive\n\nInput: A fairly harmless but ultimately lifeless feature-length afterschool special.\nOutput: negative\n\nInput: Very stupid and annoying.\nOutput: negative\n\nInput: The story is bogus and its characters tissue-thin.\nOutput: negative" } }, "22": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: This thing works on no level whatsoever for me.\nOutput: negative\n\nInput: As steamy as last week's pork dumplings.\nOutput: negative\n\nInput: A movie of riveting power and sadness.\nOutput: positive\n\nInput: Muddled, simplistic and more than a little pretentious.\nOutput: negative\n\nInput: Intriguing and downright intoxicating.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: This thing works on no level whatsoever for me.\nOutput: negative\n\nInput: As steamy as last week's pork dumplings.\nOutput: negative\n\nInput: A movie of riveting power and sadness.\nOutput: positive\n\nInput: Muddled, simplistic and more than a little pretentious.\nOutput: negative\n\nInput: Intriguing and downright intoxicating.\nOutput: positive" } }, "23": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ...begins on a high note and sustains it beautifully.\nOutput: positive\n\nInput: A muted freak-out\nOutput: negative\n\nInput: It's a rare window on an artistic collaboration.\nOutput: positive\n\nInput: Gives everyone something to shout about.\nOutput: positive\n\nInput: The film desperately sinks further and further into comedy futility.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: ...begins on a high note and sustains it beautifully.\nOutput: positive\n\nInput: A muted freak-out\nOutput: negative\n\nInput: It's a rare window on an artistic collaboration.\nOutput: positive\n\nInput: Gives everyone something to shout about.\nOutput: positive\n\nInput: The film desperately sinks further and further into comedy futility.\nOutput: negative" } }, "24": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Significantly better than its 2002 children's-movie competition.\nOutput: positive\n\nInput: A no-holds-barred cinematic treat.\nOutput: positive\n\nInput: This isn't a movie; it's a symptom.\nOutput: negative\n\nInput: The worst film of the year.\nOutput: negative\n\nInput: A loquacious and dreary piece of business.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: Significantly better than its 2002 children's-movie competition.\nOutput: positive\n\nInput: A no-holds-barred cinematic treat.\nOutput: positive\n\nInput: This isn't a movie; it's a symptom.\nOutput: negative\n\nInput: The worst film of the year.\nOutput: negative\n\nInput: A loquacious and dreary piece of business.\nOutput: negative" } }, "25": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: There's a reason why halftime is only fifteen minutes long.\nOutput: negative\n\nInput: Maryam is a small film, but it offers large rewards.\nOutput: positive\n\nInput: The soundtrack alone is worth the price of admission.\nOutput: positive\n\nInput: It's fun, splashy and entertainingly nasty.\nOutput: positive\n\nInput: The entire movie is in need of a scented bath.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: There's a reason why halftime is only fifteen minutes long.\nOutput: negative\n\nInput: Maryam is a small film, but it offers large rewards.\nOutput: positive\n\nInput: The soundtrack alone is worth the price of admission.\nOutput: positive\n\nInput: It's fun, splashy and entertainingly nasty.\nOutput: positive\n\nInput: The entire movie is in need of a scented bath.\nOutput: negative" } }, "26": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: A tasty appetizer that leaves you wanting more.\nOutput: positive\n\nInput: Thoroughly engrossing and ultimately tragic.\nOutput: negative\n\nInput: The satire is just too easy to be genuinely satisfying.\nOutput: negative\n\nInput: A dull, dumb and derivative horror film.\nOutput: negative\n\nInput: Its sheer dynamism is infectious.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: A tasty appetizer that leaves you wanting more.\nOutput: positive\n\nInput: Thoroughly engrossing and ultimately tragic.\nOutput: negative\n\nInput: The satire is just too easy to be genuinely satisfying.\nOutput: negative\n\nInput: A dull, dumb and derivative horror film.\nOutput: negative\n\nInput: Its sheer dynamism is infectious.\nOutput: positive" } }, "27": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Ponderous, plodding soap opera disguised as a feature film.\nOutput: negative\n\nInput: Gives everyone something to shout about.\nOutput: positive\n\nInput: Sluggish, tonally uneven.\nOutput: negative\n\nInput: An opportunity missed.\nOutput: negative\n\nInput: He's the scariest guy you'll see all summer.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: Ponderous, plodding soap opera disguised as a feature film.\nOutput: negative\n\nInput: Gives everyone something to shout about.\nOutput: positive\n\nInput: Sluggish, tonally uneven.\nOutput: negative\n\nInput: An opportunity missed.\nOutput: negative\n\nInput: He's the scariest guy you'll see all summer.\nOutput: positive" } }, "28": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: A comedy that is warm, inviting, and surprising.\nOutput: positive\n\nInput: Never inspires more than an interested detachment.\nOutput: negative\n\nInput: Funny, sexy, devastating and incurably romantic.\nOutput: positive\n\nInput: A cleverly crafted but ultimately hollow mockumentary.\nOutput: negative\n\nInput: It's an 88-minute highlight reel that's 86 minutes too long.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: A comedy that is warm, inviting, and surprising.\nOutput: positive\n\nInput: Never inspires more than an interested detachment.\nOutput: negative\n\nInput: Funny, sexy, devastating and incurably romantic.\nOutput: positive\n\nInput: A cleverly crafted but ultimately hollow mockumentary.\nOutput: negative\n\nInput: It's an 88-minute highlight reel that's 86 minutes too long.\nOutput: negative" } }, "29": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Neither revelatory nor truly edgy--merely crassly flamboyant and comedically labored.\nOutput: negative\n\nInput: ``The best Disney movie since the Lion King''\nOutput: positive\n\nInput: Uneven but a lot of fun.\nOutput: positive\n\nInput: Dismally dull sci-fi comedy.\nOutput: negative\n\nInput: Excruciatingly unfunny and pitifully unromantic.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: Neither revelatory nor truly edgy--merely crassly flamboyant and comedically labored.\nOutput: negative\n\nInput: ``The best Disney movie since the Lion King''\nOutput: positive\n\nInput: Uneven but a lot of fun.\nOutput: positive\n\nInput: Dismally dull sci-fi comedy.\nOutput: negative\n\nInput: Excruciatingly unfunny and pitifully unromantic.\nOutput: negative" } }, "30": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Cinematic poo.\nOutput: negative\n\nInput: An encouraging effort from McCrudden\nOutput: positive\n\nInput: Dreary tale of middle-class angst\nOutput: negative\n\nInput: A loud, brash and mainly unfunny high school comedy.\nOutput: negative\n\nInput: Ferrara's best film in years.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: Cinematic poo.\nOutput: negative\n\nInput: An encouraging effort from McCrudden\nOutput: positive\n\nInput: Dreary tale of middle-class angst\nOutput: negative\n\nInput: A loud, brash and mainly unfunny high school comedy.\nOutput: negative\n\nInput: Ferrara's best film in years.\nOutput: positive" } }, "31": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Suffers from all the excesses of the genre.\nOutput: negative\n\nInput: There's no reason to miss Interview with the Assassin\nOutput: positive\n\nInput: In the end, there isn't much to it.\nOutput: negative\n\nInput: Definitely worth 95 minutes of your time.\nOutput: positive\n\nInput: Interminably bleak, to say nothing of boring.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: Suffers from all the excesses of the genre.\nOutput: negative\n\nInput: There's no reason to miss Interview with the Assassin\nOutput: positive\n\nInput: In the end, there isn't much to it.\nOutput: negative\n\nInput: Definitely worth 95 minutes of your time.\nOutput: positive\n\nInput: Interminably bleak, to say nothing of boring.\nOutput: negative" } }, "32": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Worth seeing just for Weaver and LaPaglia.\nOutput: positive\n\nInput: It's pretentious in a way that verges on the amateurish.\nOutput: negative\n\nInput: Technically and artistically inept.\nOutput: negative\n\nInput: An awfully good, achingly human picture.\nOutput: positive\n\nInput: Its director's most substantial feature for some time.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: Worth seeing just for Weaver and LaPaglia.\nOutput: positive\n\nInput: It's pretentious in a way that verges on the amateurish.\nOutput: negative\n\nInput: Technically and artistically inept.\nOutput: negative\n\nInput: An awfully good, achingly human picture.\nOutput: positive\n\nInput: Its director's most substantial feature for some time.\nOutput: positive" } }, "33": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Often hilarious.\nOutput: positive\n\nInput: Gangster No. 1 is solid, satisfying fare for adults.\nOutput: positive\n\nInput: Shyamalan should stop trying to please his mom.\nOutput: negative\n\nInput: Press the delete key.\nOutput: negative\n\nInput: ...a movie that, quite simply, shouldn't have been made.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: Often hilarious.\nOutput: positive\n\nInput: Gangster No. 1 is solid, satisfying fare for adults.\nOutput: positive\n\nInput: Shyamalan should stop trying to please his mom.\nOutput: negative\n\nInput: Press the delete key.\nOutput: negative\n\nInput: ...a movie that, quite simply, shouldn't have been made.\nOutput: negative" } }, "34": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: A visual spectacle full of stunning images and effects.\nOutput: positive\n\nInput: Great over-the-top moviemaking if you're in a slap-happy mood.\nOutput: positive\n\nInput: ... there's a choppy, surface-effect feeling to the whole enterprise.\nOutput: negative\n\nInput: We want the funk - and this movie's got it.\nOutput: positive\n\nInput: The Sweetest Thing leaves a bitter taste.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: A visual spectacle full of stunning images and effects.\nOutput: positive\n\nInput: Great over-the-top moviemaking if you're in a slap-happy mood.\nOutput: positive\n\nInput: ... there's a choppy, surface-effect feeling to the whole enterprise.\nOutput: negative\n\nInput: We want the funk - and this movie's got it.\nOutput: positive\n\nInput: The Sweetest Thing leaves a bitter taste.\nOutput: negative" } }, "35": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Stale, futile scenario.\nOutput: negative\n\nInput: A truly wonderful tale combined with stunning animation.\nOutput: positive\n\nInput: A gangster movie with the capacity to surprise.\nOutput: positive\n\nInput: Slap me, I saw this movie.\nOutput: negative\n\nInput: What I saw, I enjoyed.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: Stale, futile scenario.\nOutput: negative\n\nInput: A truly wonderful tale combined with stunning animation.\nOutput: positive\n\nInput: A gangster movie with the capacity to surprise.\nOutput: positive\n\nInput: Slap me, I saw this movie.\nOutput: negative\n\nInput: What I saw, I enjoyed.\nOutput: positive" } }, "36": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Lame Sweet Home leaves no Southern stereotype unturned.\nOutput: negative\n\nInput: Demonstrates the unusual power of thoughtful, subjective filmmaking.\nOutput: positive\n\nInput: This isn't a movie; it's a symptom.\nOutput: negative\n\nInput: A three-hour cinema master class.\nOutput: positive\n\nInput: This thing is just garbage.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: Lame Sweet Home leaves no Southern stereotype unturned.\nOutput: negative\n\nInput: Demonstrates the unusual power of thoughtful, subjective filmmaking.\nOutput: positive\n\nInput: This isn't a movie; it's a symptom.\nOutput: negative\n\nInput: A three-hour cinema master class.\nOutput: positive\n\nInput: This thing is just garbage.\nOutput: negative" } }, "37": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ...a solid, unassuming drama.\nOutput: positive\n\nInput: Simply a re-hash of the other seven films.\nOutput: negative\n\nInput: Lacks dramatic punch and depth.\nOutput: negative\n\nInput: Has an unmistakable, easy joie de vivre.\nOutput: positive\n\nInput: Journalistically dubious, inept and often lethally dull.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: ...a solid, unassuming drama.\nOutput: positive\n\nInput: Simply a re-hash of the other seven films.\nOutput: negative\n\nInput: Lacks dramatic punch and depth.\nOutput: negative\n\nInput: Has an unmistakable, easy joie de vivre.\nOutput: positive\n\nInput: Journalistically dubious, inept and often lethally dull.\nOutput: negative" } }, "38": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Exhilarating, funny and fun.\nOutput: positive\n\nInput: As plain and pedestrian as catsup--\nOutput: negative\n\nInput: ...another example of how Sandler is losing his touch.\nOutput: negative\n\nInput: A fleet-footed and pleasingly upbeat family diversion.\nOutput: positive\n\nInput: The best part about ``Gangs'' was Daniel Day-Lewis.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: Exhilarating, funny and fun.\nOutput: positive\n\nInput: As plain and pedestrian as catsup--\nOutput: negative\n\nInput: ...another example of how Sandler is losing his touch.\nOutput: negative\n\nInput: A fleet-footed and pleasingly upbeat family diversion.\nOutput: positive\n\nInput: The best part about ``Gangs'' was Daniel Day-Lewis.\nOutput: positive" } }, "39": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: A really good premise is frittered away in middle-of-the-road blandness.\nOutput: negative\n\nInput: It's one long bore.\nOutput: negative\n\nInput: By its modest, straight-ahead standards, Undisputed scores a direct hit.\nOutput: positive\n\nInput: A brutally dry satire of Middle American numbness.\nOutput: negative\n\nInput: Bielinsky is a filmmaker of impressive talent.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: A really good premise is frittered away in middle-of-the-road blandness.\nOutput: negative\n\nInput: It's one long bore.\nOutput: negative\n\nInput: By its modest, straight-ahead standards, Undisputed scores a direct hit.\nOutput: positive\n\nInput: A brutally dry satire of Middle American numbness.\nOutput: negative\n\nInput: Bielinsky is a filmmaker of impressive talent.\nOutput: positive" } }, "40": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: It'll keep you wide awake and ... very tense.\nOutput: positive\n\nInput: A brutally dry satire of Middle American numbness.\nOutput: negative\n\nInput: It's Splash without the jokes.\nOutput: negative\n\nInput: A true pleasure.\nOutput: positive\n\nInput: Two hours of junk.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: It'll keep you wide awake and ... very tense.\nOutput: positive\n\nInput: A brutally dry satire of Middle American numbness.\nOutput: negative\n\nInput: It's Splash without the jokes.\nOutput: negative\n\nInput: A true pleasure.\nOutput: positive\n\nInput: Two hours of junk.\nOutput: negative" } }, "41": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Boy, has this franchise ever run out of gas.\nOutput: negative\n\nInput: Too much power, not enough puff.\nOutput: negative\n\nInput: The film is a verbal duel between two gifted performers.\nOutput: positive\n\nInput: A riveting story well told.\nOutput: positive\n\nInput: This comic gem is as delightful as it is derivative.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: Boy, has this franchise ever run out of gas.\nOutput: negative\n\nInput: Too much power, not enough puff.\nOutput: negative\n\nInput: The film is a verbal duel between two gifted performers.\nOutput: positive\n\nInput: A riveting story well told.\nOutput: positive\n\nInput: This comic gem is as delightful as it is derivative.\nOutput: positive" } }, "42": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Death might be a release.\nOutput: negative\n\nInput: delightfully rendered\nOutput: positive\n\nInput: She may not be real, but the laughs are.\nOutput: positive\n\nInput: Michel Piccoli's moving performance is this films reason for being.\nOutput: positive\n\nInput: Overwrought, melodramatic bodice-ripper.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: Death might be a release.\nOutput: negative\n\nInput: delightfully rendered\nOutput: positive\n\nInput: She may not be real, but the laughs are.\nOutput: positive\n\nInput: Michel Piccoli's moving performance is this films reason for being.\nOutput: positive\n\nInput: Overwrought, melodramatic bodice-ripper.\nOutput: negative" } }, "43": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Bouquet gives a performance that is masterly.\nOutput: positive\n\nInput: A wry, affectionate delight.\nOutput: positive\n\nInput: A yawn-provoking little farm melodrama.\nOutput: negative\n\nInput: ...hokey art house pretension.\nOutput: negative\n\nInput: It's all surface psychodramatics.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: Bouquet gives a performance that is masterly.\nOutput: positive\n\nInput: A wry, affectionate delight.\nOutput: positive\n\nInput: A yawn-provoking little farm melodrama.\nOutput: negative\n\nInput: ...hokey art house pretension.\nOutput: negative\n\nInput: It's all surface psychodramatics.\nOutput: negative" } }, "44": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: A Movie to Forget\nOutput: negative\n\nInput: Shyamalan should stop trying to please his mom.\nOutput: negative\n\nInput: A three-hour cinema master class.\nOutput: positive\n\nInput: Move over Bond; this girl deserves a sequel.\nOutput: positive\n\nInput: ...``Bowling for Columbine'' remains a disquieting and thought-provoking film...\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: A Movie to Forget\nOutput: negative\n\nInput: Shyamalan should stop trying to please his mom.\nOutput: negative\n\nInput: A three-hour cinema master class.\nOutput: positive\n\nInput: Move over Bond; this girl deserves a sequel.\nOutput: positive\n\nInput: ...``Bowling for Columbine'' remains a disquieting and thought-provoking film...\nOutput: positive" } }, "45": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: A loud, brash and mainly unfunny high school comedy.\nOutput: negative\n\nInput: A processed comedy chop suey.\nOutput: negative\n\nInput: It's definitely a step in the right direction.\nOutput: positive\n\nInput: Adaptation is simply brilliant.\nOutput: positive\n\nInput: As a science fiction movie, ``Minority Report'' astounds.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: A loud, brash and mainly unfunny high school comedy.\nOutput: negative\n\nInput: A processed comedy chop suey.\nOutput: negative\n\nInput: It's definitely a step in the right direction.\nOutput: positive\n\nInput: Adaptation is simply brilliant.\nOutput: positive\n\nInput: As a science fiction movie, ``Minority Report'' astounds.\nOutput: positive" } }, "46": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Intimate and panoramic.\nOutput: positive\n\nInput: A film that loses sight of its own story.\nOutput: negative\n\nInput: It should be doing a lot of things, but doesn't.\nOutput: negative\n\nInput: It's an exhilarating place to visit, this laboratory of laughter.\nOutput: positive\n\nInput: ...overly melodramatic...\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: Intimate and panoramic.\nOutput: positive\n\nInput: A film that loses sight of its own story.\nOutput: negative\n\nInput: It should be doing a lot of things, but doesn't.\nOutput: negative\n\nInput: It's an exhilarating place to visit, this laboratory of laughter.\nOutput: positive\n\nInput: ...overly melodramatic...\nOutput: negative" } }, "47": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The satire is just too easy to be genuinely satisfying.\nOutput: negative\n\nInput: Where the film falters is in its tone.\nOutput: negative\n\nInput: A terrible movie that some people will nevertheless find moving.\nOutput: negative\n\nInput: If you've the patience, there are great rewards here.\nOutput: positive\n\nInput: ...a solid, well-formed satire.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: The satire is just too easy to be genuinely satisfying.\nOutput: negative\n\nInput: Where the film falters is in its tone.\nOutput: negative\n\nInput: A terrible movie that some people will nevertheless find moving.\nOutput: negative\n\nInput: If you've the patience, there are great rewards here.\nOutput: positive\n\nInput: ...a solid, well-formed satire.\nOutput: positive" } }, "48": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ...bright, intelligent, and humanly funny film.\nOutput: positive\n\nInput: Debut effort by ``Project Greenlight'' winner is sappy and amateurish.\nOutput: negative\n\nInput: A modest masterpiece.\nOutput: positive\n\nInput: A conventional but heartwarming tale.\nOutput: positive\n\nInput: ...hypnotically dull.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: ...bright, intelligent, and humanly funny film.\nOutput: positive\n\nInput: Debut effort by ``Project Greenlight'' winner is sappy and amateurish.\nOutput: negative\n\nInput: A modest masterpiece.\nOutput: positive\n\nInput: A conventional but heartwarming tale.\nOutput: positive\n\nInput: ...hypnotically dull.\nOutput: negative" } }, "49": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Priggish, lethargically paced parable of renewal.\nOutput: negative\n\nInput: A delightful entree in the tradition of food movies.\nOutput: positive\n\nInput: a bilingual charmer, just like the woman who inspired it\nOutput: positive\n\nInput: A very depressing movie of many missed opportunities.\nOutput: negative\n\nInput: Snipes is both a snore and utter tripe.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: Priggish, lethargically paced parable of renewal.\nOutput: negative\n\nInput: A delightful entree in the tradition of food movies.\nOutput: positive\n\nInput: a bilingual charmer, just like the woman who inspired it\nOutput: positive\n\nInput: A very depressing movie of many missed opportunities.\nOutput: negative\n\nInput: Snipes is both a snore and utter tripe.\nOutput: negative" } }, "50": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: A moving, if uneven, success.\nOutput: positive\n\nInput: Certainly not a good movie, but it wasn't horrible either.\nOutput: negative\n\nInput: It's refreshing to see a romance this smart.\nOutput: positive\n\nInput: Too silly to take seriously.\nOutput: negative\n\nInput: A quaint, romanticized rendering.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: A moving, if uneven, success.\nOutput: positive\n\nInput: Certainly not a good movie, but it wasn't horrible either.\nOutput: negative\n\nInput: It's refreshing to see a romance this smart.\nOutput: positive\n\nInput: Too silly to take seriously.\nOutput: negative\n\nInput: A quaint, romanticized rendering.\nOutput: positive" } }, "51": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Lame Sweet Home leaves no Southern stereotype unturned.\nOutput: negative\n\nInput: Alternately frustrating and rewarding.\nOutput: positive\n\nInput: An elegant and sly deadpan comedy.\nOutput: positive\n\nInput: A triumph of pure craft and passionate heart.\nOutput: positive\n\nInput: Shallow, noisy and pretentious.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: Lame Sweet Home leaves no Southern stereotype unturned.\nOutput: negative\n\nInput: Alternately frustrating and rewarding.\nOutput: positive\n\nInput: An elegant and sly deadpan comedy.\nOutput: positive\n\nInput: A triumph of pure craft and passionate heart.\nOutput: positive\n\nInput: Shallow, noisy and pretentious.\nOutput: negative" } }, "52": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: There's back-stabbing, inter-racial desire and, most importantly, singing and dancing.\nOutput: positive\n\nInput: I've never bought from telemarketers, but I bought this movie.\nOutput: positive\n\nInput: Parents beware; this is downright movie penance.\nOutput: negative\n\nInput: Excruciatingly unfunny and pitifully unromantic.\nOutput: negative\n\nInput: Feral and uncomfortable.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: There's back-stabbing, inter-racial desire and, most importantly, singing and dancing.\nOutput: positive\n\nInput: I've never bought from telemarketers, but I bought this movie.\nOutput: positive\n\nInput: Parents beware; this is downright movie penance.\nOutput: negative\n\nInput: Excruciatingly unfunny and pitifully unromantic.\nOutput: negative\n\nInput: Feral and uncomfortable.\nOutput: negative" } }, "53": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Muddled, simplistic and more than a little pretentious.\nOutput: negative\n\nInput: And people make fun of me for liking Showgirls.\nOutput: negative\n\nInput: A terrifically entertaining specimen of Spielbergian sci-fi.\nOutput: positive\n\nInput: Essentially a collection of bits -- and they're all naughty.\nOutput: positive\n\nInput: A wonderful, ghastly film.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: Muddled, simplistic and more than a little pretentious.\nOutput: negative\n\nInput: And people make fun of me for liking Showgirls.\nOutput: negative\n\nInput: A terrifically entertaining specimen of Spielbergian sci-fi.\nOutput: positive\n\nInput: Essentially a collection of bits -- and they're all naughty.\nOutput: positive\n\nInput: A wonderful, ghastly film.\nOutput: positive" } }, "54": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: It's all surface psychodramatics.\nOutput: negative\n\nInput: A wonderful, ghastly film.\nOutput: positive\n\nInput: An ambitious, guilt-suffused melodrama crippled by poor casting.\nOutput: negative\n\nInput: Takashi Miike keeps pushing the envelope: Ichi the Killer\nOutput: positive\n\nInput: Deadly dull, pointless meditation on losers in a gone-to-seed hotel.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: It's all surface psychodramatics.\nOutput: negative\n\nInput: A wonderful, ghastly film.\nOutput: positive\n\nInput: An ambitious, guilt-suffused melodrama crippled by poor casting.\nOutput: negative\n\nInput: Takashi Miike keeps pushing the envelope: Ichi the Killer\nOutput: positive\n\nInput: Deadly dull, pointless meditation on losers in a gone-to-seed hotel.\nOutput: negative" } }, "55": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The Sweetest Thing leaves a bitter taste.\nOutput: negative\n\nInput: Quitting offers piercing domestic drama with spikes of sly humor.\nOutput: positive\n\nInput: Plodding, peevish and gimmicky.\nOutput: negative\n\nInput: It's funny, touching, dramatically forceful, and beautifully shot.\nOutput: positive\n\nInput: The film is full of charm.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: The Sweetest Thing leaves a bitter taste.\nOutput: negative\n\nInput: Quitting offers piercing domestic drama with spikes of sly humor.\nOutput: positive\n\nInput: Plodding, peevish and gimmicky.\nOutput: negative\n\nInput: It's funny, touching, dramatically forceful, and beautifully shot.\nOutput: positive\n\nInput: The film is full of charm.\nOutput: positive" } }, "56": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Another week, another gross-out college comedy--ugh.\nOutput: negative\n\nInput: Witty, contemplative, and sublimely beautiful.\nOutput: positive\n\nInput: Ah-nuld's action hero days might be over.\nOutput: negative\n\nInput: It challenges, this nervy oddity, like modern art should.\nOutput: positive\n\nInput: Make like the title and dodge this one.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: Another week, another gross-out college comedy--ugh.\nOutput: negative\n\nInput: Witty, contemplative, and sublimely beautiful.\nOutput: positive\n\nInput: Ah-nuld's action hero days might be over.\nOutput: negative\n\nInput: It challenges, this nervy oddity, like modern art should.\nOutput: positive\n\nInput: Make like the title and dodge this one.\nOutput: negative" } }, "57": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Steven Spielberg brings us another masterpiece\nOutput: positive\n\nInput: There's nothing remotely topical or sexy here.\nOutput: negative\n\nInput: ...a bland, pretentious mess.\nOutput: negative\n\nInput: A real snooze.\nOutput: negative\n\nInput: Efficient, suitably anonymous chiller.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: Steven Spielberg brings us another masterpiece\nOutput: positive\n\nInput: There's nothing remotely topical or sexy here.\nOutput: negative\n\nInput: ...a bland, pretentious mess.\nOutput: negative\n\nInput: A real snooze.\nOutput: negative\n\nInput: Efficient, suitably anonymous chiller.\nOutput: positive" } }, "58": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Forget the misleading title, what's with the unexplained baboon cameo?\nOutput: negative\n\nInput: A negligible British comedy.\nOutput: negative\n\nInput: The drama discloses almost nothing.\nOutput: negative\n\nInput: ...a solid, unassuming drama.\nOutput: positive\n\nInput: It's sweet, funny, charming, and completely delightful.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: Forget the misleading title, what's with the unexplained baboon cameo?\nOutput: negative\n\nInput: A negligible British comedy.\nOutput: negative\n\nInput: The drama discloses almost nothing.\nOutput: negative\n\nInput: ...a solid, unassuming drama.\nOutput: positive\n\nInput: It's sweet, funny, charming, and completely delightful.\nOutput: positive" } }, "59": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: It looks good, but it is essentially empty.\nOutput: negative\n\nInput: Manages to delight without much of a story.\nOutput: positive\n\nInput: Comes off like a bad imitation of the Bard.\nOutput: negative\n\nInput: Psychologically savvy.\nOutput: positive\n\nInput: A humorless journey into a philosophical void.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: It looks good, but it is essentially empty.\nOutput: negative\n\nInput: Manages to delight without much of a story.\nOutput: positive\n\nInput: Comes off like a bad imitation of the Bard.\nOutput: negative\n\nInput: Psychologically savvy.\nOutput: positive\n\nInput: A humorless journey into a philosophical void.\nOutput: negative" } }, "60": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: It's Splash without the jokes.\nOutput: negative\n\nInput: Uneven but a lot of fun.\nOutput: positive\n\nInput: There's a lot to recommend Read My Lips.\nOutput: positive\n\nInput: a joyous occasion\nOutput: positive\n\nInput: Been there done that.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: It's Splash without the jokes.\nOutput: negative\n\nInput: Uneven but a lot of fun.\nOutput: positive\n\nInput: There's a lot to recommend Read My Lips.\nOutput: positive\n\nInput: a joyous occasion\nOutput: positive\n\nInput: Been there done that.\nOutput: negative" } }, "61": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: A fleet-footed and pleasingly upbeat family diversion.\nOutput: positive\n\nInput: A processed comedy chop suey.\nOutput: negative\n\nInput: Crummy.\nOutput: negative\n\nInput: Don't even bother to rent this on video.\nOutput: negative\n\nInput: You'll end up moved.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: A fleet-footed and pleasingly upbeat family diversion.\nOutput: positive\n\nInput: A processed comedy chop suey.\nOutput: negative\n\nInput: Crummy.\nOutput: negative\n\nInput: Don't even bother to rent this on video.\nOutput: negative\n\nInput: You'll end up moved.\nOutput: positive" } }, "62": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Everyone's to blame here.\nOutput: negative\n\nInput: Brave and sweetly rendered love story.\nOutput: positive\n\nInput: Exciting and well-paced.\nOutput: positive\n\nInput: A loud, brash and mainly unfunny high school comedy.\nOutput: negative\n\nInput: Poignant and delicately complex.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: Everyone's to blame here.\nOutput: negative\n\nInput: Brave and sweetly rendered love story.\nOutput: positive\n\nInput: Exciting and well-paced.\nOutput: positive\n\nInput: A loud, brash and mainly unfunny high school comedy.\nOutput: negative\n\nInput: Poignant and delicately complex.\nOutput: positive" } }, "63": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: A non-mystery mystery.\nOutput: negative\n\nInput: The movie's blatant derivativeness is one reason it's so lackluster.\nOutput: negative\n\nInput: A solidly entertaining little film.\nOutput: positive\n\nInput: Nettelbeck ... has a pleasing way with a metaphor.\nOutput: positive\n\nInput: Dismally dull sci-fi comedy.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: A non-mystery mystery.\nOutput: negative\n\nInput: The movie's blatant derivativeness is one reason it's so lackluster.\nOutput: negative\n\nInput: A solidly entertaining little film.\nOutput: positive\n\nInput: Nettelbeck ... has a pleasing way with a metaphor.\nOutput: positive\n\nInput: Dismally dull sci-fi comedy.\nOutput: negative" } }, "64": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Constantly slips from the grasp of its maker.\nOutput: negative\n\nInput: unpretentious, charming, quirky, original\nOutput: positive\n\nInput: An undistinguished attempt to make a classic theater piece cinematic.\nOutput: negative\n\nInput: A thriller without a lot of thrills.\nOutput: negative\n\nInput: It's a very valuable film...\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: Constantly slips from the grasp of its maker.\nOutput: negative\n\nInput: unpretentious, charming, quirky, original\nOutput: positive\n\nInput: An undistinguished attempt to make a classic theater piece cinematic.\nOutput: negative\n\nInput: A thriller without a lot of thrills.\nOutput: negative\n\nInput: It's a very valuable film...\nOutput: positive" } }, "65": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Hollywood Ending is not show-stoppingly hilarious, but scathingly witty nonetheless.\nOutput: positive\n\nInput: This thing is virtually unwatchable.\nOutput: negative\n\nInput: A banal, virulently unpleasant excuse for a romantic comedy.\nOutput: negative\n\nInput: Enormously enjoyable, high-adrenaline documentary.\nOutput: positive\n\nInput: Downbeat, period-perfect biopic hammers home a heavy-handed moralistic message.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: Hollywood Ending is not show-stoppingly hilarious, but scathingly witty nonetheless.\nOutput: positive\n\nInput: This thing is virtually unwatchable.\nOutput: negative\n\nInput: A banal, virulently unpleasant excuse for a romantic comedy.\nOutput: negative\n\nInput: Enormously enjoyable, high-adrenaline documentary.\nOutput: positive\n\nInput: Downbeat, period-perfect biopic hammers home a heavy-handed moralistic message.\nOutput: positive" } }, "66": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Hoffman's performance is authentic to the core of his being.\nOutput: positive\n\nInput: Rashomon-for-dipsticks tale.\nOutput: negative\n\nInput: Idiotic and ugly.\nOutput: negative\n\nInput: ...too sappy for its own good.\nOutput: negative\n\nInput: Meticulously uncovers a trail of outrageous force and craven concealment.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: Hoffman's performance is authentic to the core of his being.\nOutput: positive\n\nInput: Rashomon-for-dipsticks tale.\nOutput: negative\n\nInput: Idiotic and ugly.\nOutput: negative\n\nInput: ...too sappy for its own good.\nOutput: negative\n\nInput: Meticulously uncovers a trail of outrageous force and craven concealment.\nOutput: positive" } }, "67": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Certainly not a good movie, but it wasn't horrible either.\nOutput: negative\n\nInput: A gentle and engrossing character study.\nOutput: positive\n\nInput: Fairly run-of-the-mill.\nOutput: negative\n\nInput: A wonderful, ghastly film.\nOutput: positive\n\nInput: Overwrought, melodramatic bodice-ripper.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: Certainly not a good movie, but it wasn't horrible either.\nOutput: negative\n\nInput: A gentle and engrossing character study.\nOutput: positive\n\nInput: Fairly run-of-the-mill.\nOutput: negative\n\nInput: A wonderful, ghastly film.\nOutput: positive\n\nInput: Overwrought, melodramatic bodice-ripper.\nOutput: negative" } }, "68": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ...a cheap, ludicrous attempt at serious horror.\nOutput: negative\n\nInput: An edgy thriller that delivers a surprising punch.\nOutput: positive\n\nInput: Terminally brain dead production.\nOutput: negative\n\nInput: Alternately frustrating and rewarding.\nOutput: positive\n\nInput: I liked this film a lot...\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: ...a cheap, ludicrous attempt at serious horror.\nOutput: negative\n\nInput: An edgy thriller that delivers a surprising punch.\nOutput: positive\n\nInput: Terminally brain dead production.\nOutput: negative\n\nInput: Alternately frustrating and rewarding.\nOutput: positive\n\nInput: I liked this film a lot...\nOutput: positive" } }, "69": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Hugely accomplished slice of Hitchcockian suspense.\nOutput: positive\n\nInput: Control-Alt-Delete Simone as quickly as possible\nOutput: negative\n\nInput: A loud, brash and mainly unfunny high school comedy.\nOutput: negative\n\nInput: A manically generous Christmas vaudeville.\nOutput: positive\n\nInput: The gags, and the script, are a mixed bag.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: Hugely accomplished slice of Hitchcockian suspense.\nOutput: positive\n\nInput: Control-Alt-Delete Simone as quickly as possible\nOutput: negative\n\nInput: A loud, brash and mainly unfunny high school comedy.\nOutput: negative\n\nInput: A manically generous Christmas vaudeville.\nOutput: positive\n\nInput: The gags, and the script, are a mixed bag.\nOutput: negative" } }, "70": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Thoroughly engrossing and ultimately tragic.\nOutput: negative\n\nInput: An awkward hybrid of genres that just doesn't work.\nOutput: negative\n\nInput: There's plenty to impress about E.T.\nOutput: positive\n\nInput: a joyous occasion\nOutput: positive\n\nInput: A muted freak-out\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: Thoroughly engrossing and ultimately tragic.\nOutput: negative\n\nInput: An awkward hybrid of genres that just doesn't work.\nOutput: negative\n\nInput: There's plenty to impress about E.T.\nOutput: positive\n\nInput: a joyous occasion\nOutput: positive\n\nInput: A muted freak-out\nOutput: negative" } }, "71": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Good-naturedly cornball sequel.\nOutput: positive\n\nInput: Delivers more than its fair share of saucy hilarity.\nOutput: positive\n\nInput: ...silly humbuggery...\nOutput: negative\n\nInput: An enjoyable experience.\nOutput: positive\n\nInput: Pompous and garbled.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: Good-naturedly cornball sequel.\nOutput: positive\n\nInput: Delivers more than its fair share of saucy hilarity.\nOutput: positive\n\nInput: ...silly humbuggery...\nOutput: negative\n\nInput: An enjoyable experience.\nOutput: positive\n\nInput: Pompous and garbled.\nOutput: negative" } }, "72": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Intimate and panoramic.\nOutput: positive\n\nInput: An authentically vague, but ultimately purposeless, study in total pandemonium.\nOutput: negative\n\nInput: ...the plot weaves us into a complex web.\nOutput: positive\n\nInput: Probably the best case for Christianity since Chesterton and Lewis.\nOutput: positive\n\nInput: What a pity ... that the material is so second-rate.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: Intimate and panoramic.\nOutput: positive\n\nInput: An authentically vague, but ultimately purposeless, study in total pandemonium.\nOutput: negative\n\nInput: ...the plot weaves us into a complex web.\nOutput: positive\n\nInput: Probably the best case for Christianity since Chesterton and Lewis.\nOutput: positive\n\nInput: What a pity ... that the material is so second-rate.\nOutput: negative" } }, "73": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The closest thing to the experience of space travel\nOutput: positive\n\nInput: Throughout, Mr. Audiard's direction is fluid and quick.\nOutput: positive\n\nInput: A less-than-thrilling thriller.\nOutput: negative\n\nInput: These characters become wearisome.\nOutput: negative\n\nInput: Low rent from frame one.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: The closest thing to the experience of space travel\nOutput: positive\n\nInput: Throughout, Mr. Audiard's direction is fluid and quick.\nOutput: positive\n\nInput: A less-than-thrilling thriller.\nOutput: negative\n\nInput: These characters become wearisome.\nOutput: negative\n\nInput: Low rent from frame one.\nOutput: negative" } }, "74": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: An enjoyable experience.\nOutput: positive\n\nInput: An even more predictable, cliche-ridden endeavor than its predecessor.\nOutput: negative\n\nInput: The entire cast is extraordinarily good.\nOutput: positive\n\nInput: It is bad, but certainly not without merit as entertainment.\nOutput: negative\n\nInput: What makes it worth watching is Quaid's performance.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: An enjoyable experience.\nOutput: positive\n\nInput: An even more predictable, cliche-ridden endeavor than its predecessor.\nOutput: negative\n\nInput: The entire cast is extraordinarily good.\nOutput: positive\n\nInput: It is bad, but certainly not without merit as entertainment.\nOutput: negative\n\nInput: What makes it worth watching is Quaid's performance.\nOutput: positive" } }, "75": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The story has little wit and no surprises.\nOutput: negative\n\nInput: Ya-Yas everywhere will forgive the flaws and love the film.\nOutput: positive\n\nInput: Dense, exhilarating documentary.\nOutput: positive\n\nInput: ... better described as a ghost story gone badly awry.\nOutput: negative\n\nInput: Abysmally pathetic\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: The story has little wit and no surprises.\nOutput: negative\n\nInput: Ya-Yas everywhere will forgive the flaws and love the film.\nOutput: positive\n\nInput: Dense, exhilarating documentary.\nOutput: positive\n\nInput: ... better described as a ghost story gone badly awry.\nOutput: negative\n\nInput: Abysmally pathetic\nOutput: negative" } }, "76": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: A must see for all sides of the political spectrum\nOutput: positive\n\nInput: A marvel of production design.\nOutput: positive\n\nInput: ...a true delight.\nOutput: positive\n\nInput: Brisk hack job.\nOutput: negative\n\nInput: Ararat feels like a book report\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: A must see for all sides of the political spectrum\nOutput: positive\n\nInput: A marvel of production design.\nOutput: positive\n\nInput: ...a true delight.\nOutput: positive\n\nInput: Brisk hack job.\nOutput: negative\n\nInput: Ararat feels like a book report\nOutput: negative" } }, "77": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: A movie of riveting power and sadness.\nOutput: positive\n\nInput: The movie doesn't add anything fresh to the myth.\nOutput: negative\n\nInput: A thought-provoking picture.\nOutput: positive\n\nInput: More intellectually scary than dramatically involving.\nOutput: negative\n\nInput: Nice piece of work.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: A movie of riveting power and sadness.\nOutput: positive\n\nInput: The movie doesn't add anything fresh to the myth.\nOutput: negative\n\nInput: A thought-provoking picture.\nOutput: positive\n\nInput: More intellectually scary than dramatically involving.\nOutput: negative\n\nInput: Nice piece of work.\nOutput: positive" } }, "78": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: A preposterous, prurient whodunit.\nOutput: negative\n\nInput: Fluffy and disposible.\nOutput: negative\n\nInput: A winning and wildly fascinating work.\nOutput: positive\n\nInput: An intoxicating experience.\nOutput: positive\n\nInput: The whole talking-animal thing is grisly.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: A preposterous, prurient whodunit.\nOutput: negative\n\nInput: Fluffy and disposible.\nOutput: negative\n\nInput: A winning and wildly fascinating work.\nOutput: positive\n\nInput: An intoxicating experience.\nOutput: positive\n\nInput: The whole talking-animal thing is grisly.\nOutput: negative" } }, "79": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: How this one escaped the Lifetime network I'll never know.\nOutput: negative\n\nInput: Its director's most substantial feature for some time.\nOutput: positive\n\nInput: A prolonged extrusion of psychopathic pulp.\nOutput: negative\n\nInput: A smart little indie.\nOutput: positive\n\nInput: The gags, and the script, are a mixed bag.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: How this one escaped the Lifetime network I'll never know.\nOutput: negative\n\nInput: Its director's most substantial feature for some time.\nOutput: positive\n\nInput: A prolonged extrusion of psychopathic pulp.\nOutput: negative\n\nInput: A smart little indie.\nOutput: positive\n\nInput: The gags, and the script, are a mixed bag.\nOutput: negative" } }, "80": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: It's tough to watch, but it's a fantastic movie.\nOutput: positive\n\nInput: Too infuriatingly quirky and taken with its own style.\nOutput: negative\n\nInput: Romantic, riveting and handsomely animated.\nOutput: positive\n\nInput: The movie is a mess from start to finish.\nOutput: negative\n\nInput: The plot's contrivances are uncomfortably strained.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: It's tough to watch, but it's a fantastic movie.\nOutput: positive\n\nInput: Too infuriatingly quirky and taken with its own style.\nOutput: negative\n\nInput: Romantic, riveting and handsomely animated.\nOutput: positive\n\nInput: The movie is a mess from start to finish.\nOutput: negative\n\nInput: The plot's contrivances are uncomfortably strained.\nOutput: negative" } }, "81": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Ryan Gosling ... is at 22 a powerful young actor.\nOutput: positive\n\nInput: Everything about The Quiet American is good, except its timing.\nOutput: positive\n\nInput: A muted freak-out\nOutput: negative\n\nInput: Banal and predictable.\nOutput: negative\n\nInput: Plays like a glossy melodrama that occasionally verges on camp.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: Ryan Gosling ... is at 22 a powerful young actor.\nOutput: positive\n\nInput: Everything about The Quiet American is good, except its timing.\nOutput: positive\n\nInput: A muted freak-out\nOutput: negative\n\nInput: Banal and predictable.\nOutput: negative\n\nInput: Plays like a glossy melodrama that occasionally verges on camp.\nOutput: negative" } }, "82": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Disney again ransacks its archives for a quick-buck sequel.\nOutput: negative\n\nInput: ...no charm, no laughs, no fun, no reason to watch.\nOutput: negative\n\nInput: The script is smart, not cloying.\nOutput: positive\n\nInput: Sexy and romantic.\nOutput: positive\n\nInput: Doesn't really add up to much.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: Disney again ransacks its archives for a quick-buck sequel.\nOutput: negative\n\nInput: ...no charm, no laughs, no fun, no reason to watch.\nOutput: negative\n\nInput: The script is smart, not cloying.\nOutput: positive\n\nInput: Sexy and romantic.\nOutput: positive\n\nInput: Doesn't really add up to much.\nOutput: negative" } }, "83": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Obvious.\nOutput: negative\n\nInput: Watching these eccentrics is both inspiring and pure joy.\nOutput: positive\n\nInput: Characterisation has been sacrificed for the sake of spectacle.\nOutput: negative\n\nInput: Tends to plod.\nOutput: negative\n\nInput: A compelling story of musical passion against governmental odds.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: Obvious.\nOutput: negative\n\nInput: Watching these eccentrics is both inspiring and pure joy.\nOutput: positive\n\nInput: Characterisation has been sacrificed for the sake of spectacle.\nOutput: negative\n\nInput: Tends to plod.\nOutput: negative\n\nInput: A compelling story of musical passion against governmental odds.\nOutput: positive" } }, "84": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: At times, it actually hurts to watch.\nOutput: negative\n\nInput: there is truth here\nOutput: positive\n\nInput: ...an hour-and-a-half of inoffensive, unmemorable filler.\nOutput: negative\n\nInput: You will likely prefer to keep on watching.\nOutput: positive\n\nInput: Another week, another gross-out college comedy--ugh.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: At times, it actually hurts to watch.\nOutput: negative\n\nInput: there is truth here\nOutput: positive\n\nInput: ...an hour-and-a-half of inoffensive, unmemorable filler.\nOutput: negative\n\nInput: You will likely prefer to keep on watching.\nOutput: positive\n\nInput: Another week, another gross-out college comedy--ugh.\nOutput: negative" } }, "85": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Wow, so who knew Charles Dickens could be so light-hearted?\nOutput: positive\n\nInput: This is Christmas Future for a lot of baby boomers.\nOutput: positive\n\nInput: The film is strictly routine.\nOutput: negative\n\nInput: A cockeyed shot all the way.\nOutput: negative\n\nInput: It trusts the story it sets out to tell.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: Wow, so who knew Charles Dickens could be so light-hearted?\nOutput: positive\n\nInput: This is Christmas Future for a lot of baby boomers.\nOutput: positive\n\nInput: The film is strictly routine.\nOutput: negative\n\nInput: A cockeyed shot all the way.\nOutput: negative\n\nInput: It trusts the story it sets out to tell.\nOutput: positive" } }, "86": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: A very capable nailbiter.\nOutput: positive\n\nInput: A sham construct based on theory, sleight-of-hand, and ill-wrought hypothesis.\nOutput: negative\n\nInput: A perceptive, good-natured movie.\nOutput: positive\n\nInput: An uneven mix of dark satire and childhood awakening.\nOutput: negative\n\nInput: Definitely a crowd-pleaser, but then, so was the Roman Colosseum.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: A very capable nailbiter.\nOutput: positive\n\nInput: A sham construct based on theory, sleight-of-hand, and ill-wrought hypothesis.\nOutput: negative\n\nInput: A perceptive, good-natured movie.\nOutput: positive\n\nInput: An uneven mix of dark satire and childhood awakening.\nOutput: negative\n\nInput: Definitely a crowd-pleaser, but then, so was the Roman Colosseum.\nOutput: positive" } }, "87": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: A stirring road movie.\nOutput: positive\n\nInput: It is a likable story, told with competence.\nOutput: positive\n\nInput: By turns numbingly dull-witted and disquietingly creepy.\nOutput: negative\n\nInput: Too much power, not enough puff.\nOutput: negative\n\nInput: Stiff and schmaltzy and clumsily directed.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: A stirring road movie.\nOutput: positive\n\nInput: It is a likable story, told with competence.\nOutput: positive\n\nInput: By turns numbingly dull-witted and disquietingly creepy.\nOutput: negative\n\nInput: Too much power, not enough puff.\nOutput: negative\n\nInput: Stiff and schmaltzy and clumsily directed.\nOutput: negative" } }, "88": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sly, sophisticated and surprising.\nOutput: positive\n\nInput: ...stale and uninspired.\nOutput: negative\n\nInput: The film is flat.\nOutput: negative\n\nInput: We want the funk - and this movie's got it.\nOutput: positive\n\nInput: Beautifully directed and convincingly acted.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sly, sophisticated and surprising.\nOutput: positive\n\nInput: ...stale and uninspired.\nOutput: negative\n\nInput: The film is flat.\nOutput: negative\n\nInput: We want the funk - and this movie's got it.\nOutput: positive\n\nInput: Beautifully directed and convincingly acted.\nOutput: positive" } }, "89": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: An entertaining, if somewhat standardized, action movie.\nOutput: positive\n\nInput: Awesome work: ineffable, elusive, yet inexplicably powerful\nOutput: positive\n\nInput: We get the comedy we settle for.\nOutput: negative\n\nInput: Constantly touching, surprisingly funny, semi-surrealist exploration of the creative act.\nOutput: positive\n\nInput: Ponderous, plodding soap opera disguised as a feature film.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: An entertaining, if somewhat standardized, action movie.\nOutput: positive\n\nInput: Awesome work: ineffable, elusive, yet inexplicably powerful\nOutput: positive\n\nInput: We get the comedy we settle for.\nOutput: negative\n\nInput: Constantly touching, surprisingly funny, semi-surrealist exploration of the creative act.\nOutput: positive\n\nInput: Ponderous, plodding soap opera disguised as a feature film.\nOutput: negative" } }, "90": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The fetid underbelly of fame has never looked uglier.\nOutput: negative\n\nInput: Daring and beautifully made.\nOutput: positive\n\nInput: Watching these eccentrics is both inspiring and pure joy.\nOutput: positive\n\nInput: Too clever by about nine-tenths.\nOutput: positive\n\nInput: Laughably, irredeemably awful.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: The fetid underbelly of fame has never looked uglier.\nOutput: negative\n\nInput: Daring and beautifully made.\nOutput: positive\n\nInput: Watching these eccentrics is both inspiring and pure joy.\nOutput: positive\n\nInput: Too clever by about nine-tenths.\nOutput: positive\n\nInput: Laughably, irredeemably awful.\nOutput: negative" } }, "91": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: It's mildly amusing, but I certainly can't recommend it.\nOutput: negative\n\nInput: May puzzle his most ardent fans.\nOutput: negative\n\nInput: It's sweet, funny, charming, and completely delightful.\nOutput: positive\n\nInput: A thriller without a lot of thrills.\nOutput: negative\n\nInput: a joyous occasion\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: It's mildly amusing, but I certainly can't recommend it.\nOutput: negative\n\nInput: May puzzle his most ardent fans.\nOutput: negative\n\nInput: It's sweet, funny, charming, and completely delightful.\nOutput: positive\n\nInput: A thriller without a lot of thrills.\nOutput: negative\n\nInput: a joyous occasion\nOutput: positive" } }, "92": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Violent, vulgar and forgettably entertaining.\nOutput: negative\n\nInput: Devolves into the derivative, leaning on badly-rendered CGI effects.\nOutput: negative\n\nInput: A film that suffers because of its many excesses.\nOutput: negative\n\nInput: The performances are remarkable.\nOutput: positive\n\nInput: The mushy finale turns John Q into a movie-of-the-week tearjerker.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: Violent, vulgar and forgettably entertaining.\nOutput: negative\n\nInput: Devolves into the derivative, leaning on badly-rendered CGI effects.\nOutput: negative\n\nInput: A film that suffers because of its many excesses.\nOutput: negative\n\nInput: The performances are remarkable.\nOutput: positive\n\nInput: The mushy finale turns John Q into a movie-of-the-week tearjerker.\nOutput: positive" } }, "93": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: A charmer from Belgium.\nOutput: positive\n\nInput: The entire cast is extraordinarily good.\nOutput: positive\n\nInput: Witless and utterly pointless.\nOutput: negative\n\nInput: ... a confusing drudgery.\nOutput: negative\n\nInput: Worthy of the gong.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: A charmer from Belgium.\nOutput: positive\n\nInput: The entire cast is extraordinarily good.\nOutput: positive\n\nInput: Witless and utterly pointless.\nOutput: negative\n\nInput: ... a confusing drudgery.\nOutput: negative\n\nInput: Worthy of the gong.\nOutput: negative" } }, "94": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: A humorless journey into a philosophical void.\nOutput: negative\n\nInput: Another useless recycling of a brutal mid-'70s American sports movie.\nOutput: negative\n\nInput: A smart, compelling drama.\nOutput: positive\n\nInput: An impressive hybrid.\nOutput: positive\n\nInput: Feels shrill, simple and soapy.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: A humorless journey into a philosophical void.\nOutput: negative\n\nInput: Another useless recycling of a brutal mid-'70s American sports movie.\nOutput: negative\n\nInput: A smart, compelling drama.\nOutput: positive\n\nInput: An impressive hybrid.\nOutput: positive\n\nInput: Feels shrill, simple and soapy.\nOutput: negative" } }, "95": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ...unlikable, uninteresting, unfunny, and completely, utterly inept.\nOutput: negative\n\nInput: Fast-paced and wonderfully edited, the film is extremely thorough.\nOutput: positive\n\nInput: the film never rises above a conventional, two dimension tale\nOutput: negative\n\nInput: A terrific insider look at the star-making machinery of tinseltown.\nOutput: positive\n\nInput: ...a solid, unassuming drama.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: ...unlikable, uninteresting, unfunny, and completely, utterly inept.\nOutput: negative\n\nInput: Fast-paced and wonderfully edited, the film is extremely thorough.\nOutput: positive\n\nInput: the film never rises above a conventional, two dimension tale\nOutput: negative\n\nInput: A terrific insider look at the star-making machinery of tinseltown.\nOutput: positive\n\nInput: ...a solid, unassuming drama.\nOutput: positive" } }, "96": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Narc is all menace and atmosphere.\nOutput: negative\n\nInput: Pompous and garbled.\nOutput: negative\n\nInput: At once disarmingly straightforward and strikingly devious.\nOutput: positive\n\nInput: Allen's funniest and most likeable movie in years.\nOutput: positive\n\nInput: A moving essay about the specter of death, especially suicide.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: Narc is all menace and atmosphere.\nOutput: negative\n\nInput: Pompous and garbled.\nOutput: negative\n\nInput: At once disarmingly straightforward and strikingly devious.\nOutput: positive\n\nInput: Allen's funniest and most likeable movie in years.\nOutput: positive\n\nInput: A moving essay about the specter of death, especially suicide.\nOutput: positive" } }, "97": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: The movie is well done, but slow.\nOutput: negative\n\nInput: Quite simply, a joy to watch and--especially--to listen to.\nOutput: positive\n\nInput: A film that's flawed and brilliant in equal measure.\nOutput: positive\n\nInput: An hour and a half of joyful solo performance.\nOutput: positive\n\nInput: Shallow, noisy and pretentious.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: The movie is well done, but slow.\nOutput: negative\n\nInput: Quite simply, a joy to watch and--especially--to listen to.\nOutput: positive\n\nInput: A film that's flawed and brilliant in equal measure.\nOutput: positive\n\nInput: An hour and a half of joyful solo performance.\nOutput: positive\n\nInput: Shallow, noisy and pretentious.\nOutput: negative" } }, "98": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: A wild, endearing, masterful documentary.\nOutput: positive\n\nInput: Insufferably naive.\nOutput: negative\n\nInput: Doesn't really add up to much.\nOutput: negative\n\nInput: A beautifully observed character piece.\nOutput: positive\n\nInput: Schneidermeister... Makin' a fool of himself... Losin' his fan base...\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: A wild, endearing, masterful documentary.\nOutput: positive\n\nInput: Insufferably naive.\nOutput: negative\n\nInput: Doesn't really add up to much.\nOutput: negative\n\nInput: A beautifully observed character piece.\nOutput: positive\n\nInput: Schneidermeister... Makin' a fool of himself... Losin' his fan base...\nOutput: negative" } }, "99": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Ian Holm conquers France as an earthy Napoleon\nOutput: positive\n\nInput: The script is high on squaddie banter, low on shocks.\nOutput: positive\n\nInput: Parents beware; this is downright movie penance.\nOutput: negative\n\nInput: Poignant Japanese epic about adolescent anomie and heartbreak.\nOutput: positive\n\nInput: Grant isn't Cary and Bullock isn't Katherine.\nOutput: negative\n\nThe instruction was", "metadata": { "examples_seen": "Input: Ian Holm conquers France as an earthy Napoleon\nOutput: positive\n\nInput: The script is high on squaddie banter, low on shocks.\nOutput: positive\n\nInput: Parents beware; this is downright movie penance.\nOutput: negative\n\nInput: Poignant Japanese epic about adolescent anomie and heartbreak.\nOutput: positive\n\nInput: Grant isn't Cary and Bullock isn't Katherine.\nOutput: negative" } }, "100": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: A lovably old-school Hollywood confection.\nOutput: positive\n\nInput: Alternately frustrating and rewarding.\nOutput: positive\n\nInput: Low comedy doesn't come much lower.\nOutput: negative\n\nInput: An odd, haphazard, and inconsequential romantic comedy.\nOutput: negative\n\nInput: A harrowing account of a psychological breakdown.\nOutput: positive\n\nThe instruction was", "metadata": { "examples_seen": "Input: A lovably old-school Hollywood confection.\nOutput: positive\n\nInput: Alternately frustrating and rewarding.\nOutput: positive\n\nInput: Low comedy doesn't come much lower.\nOutput: negative\n\nInput: An odd, haphazard, and inconsequential romantic comedy.\nOutput: negative\n\nInput: A harrowing account of a psychological breakdown.\nOutput: positive" } } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/induction_input/singular_to_plural.json ================================================ { "examples": { "1": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: artist\nOutput: artists\n\nInput: interception\nOutput: interceptions\n\nInput: patient\nOutput: patients\n\nInput: mass\nOutput: masses\n\nInput: sediment\nOutput: sediments\n\nThe instruction was", "metadata": { "examples_seen": "Input: artist\nOutput: artists\n\nInput: interception\nOutput: interceptions\n\nInput: patient\nOutput: patients\n\nInput: mass\nOutput: masses\n\nInput: sediment\nOutput: sediments" } }, "2": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: basement\nOutput: basements\n\nInput: plane\nOutput: planes\n\nInput: cannon\nOutput: cannons\n\nInput: area\nOutput: areas\n\nInput: pleasure\nOutput: pleasures\n\nThe instruction was", "metadata": { "examples_seen": "Input: basement\nOutput: basements\n\nInput: plane\nOutput: planes\n\nInput: cannon\nOutput: cannons\n\nInput: area\nOutput: areas\n\nInput: pleasure\nOutput: pleasures" } }, "3": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ball\nOutput: balls\n\nInput: monster\nOutput: monsters\n\nInput: map\nOutput: maps\n\nInput: semifinal\nOutput: semifinals\n\nInput: religion\nOutput: religions\n\nThe instruction was", "metadata": { "examples_seen": "Input: ball\nOutput: balls\n\nInput: monster\nOutput: monsters\n\nInput: map\nOutput: maps\n\nInput: semifinal\nOutput: semifinals\n\nInput: religion\nOutput: religions" } }, "4": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: girl\nOutput: girls\n\nInput: anxiety\nOutput: anxieties\n\nInput: advisor\nOutput: advisors\n\nInput: alignment\nOutput: alignments\n\nInput: eclipse\nOutput: eclipses\n\nThe instruction was", "metadata": { "examples_seen": "Input: girl\nOutput: girls\n\nInput: anxiety\nOutput: anxieties\n\nInput: advisor\nOutput: advisors\n\nInput: alignment\nOutput: alignments\n\nInput: eclipse\nOutput: eclipses" } }, "5": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sophomore\nOutput: sophomores\n\nInput: permit\nOutput: permits\n\nInput: footballer\nOutput: footballers\n\nInput: accident\nOutput: accidents\n\nInput: abortion\nOutput: abortions\n\nThe instruction was", "metadata": { "examples_seen": "Input: sophomore\nOutput: sophomores\n\nInput: permit\nOutput: permits\n\nInput: footballer\nOutput: footballers\n\nInput: accident\nOutput: accidents\n\nInput: abortion\nOutput: abortions" } }, "6": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: basin\nOutput: basins\n\nInput: eclipse\nOutput: eclipses\n\nInput: sketch\nOutput: sketches\n\nInput: thesis\nOutput: theses\n\nInput: pairing\nOutput: pairings\n\nThe instruction was", "metadata": { "examples_seen": "Input: basin\nOutput: basins\n\nInput: eclipse\nOutput: eclipses\n\nInput: sketch\nOutput: sketches\n\nInput: thesis\nOutput: theses\n\nInput: pairing\nOutput: pairings" } }, "7": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: farmer\nOutput: farmers\n\nInput: replacement\nOutput: replacements\n\nInput: journal\nOutput: journals\n\nInput: prize\nOutput: prizes\n\nInput: motif\nOutput: motifs\n\nThe instruction was", "metadata": { "examples_seen": "Input: farmer\nOutput: farmers\n\nInput: replacement\nOutput: replacements\n\nInput: journal\nOutput: journals\n\nInput: prize\nOutput: prizes\n\nInput: motif\nOutput: motifs" } }, "8": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: rhythm\nOutput: rhythms\n\nInput: horn\nOutput: horns\n\nInput: expansion\nOutput: expansions\n\nInput: pardon\nOutput: pardons\n\nInput: wedding\nOutput: weddings\n\nThe instruction was", "metadata": { "examples_seen": "Input: rhythm\nOutput: rhythms\n\nInput: horn\nOutput: horns\n\nInput: expansion\nOutput: expansions\n\nInput: pardon\nOutput: pardons\n\nInput: wedding\nOutput: weddings" } }, "9": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: copy\nOutput: copies\n\nInput: artwork\nOutput: artworks\n\nInput: descendant\nOutput: descendants\n\nInput: tenure\nOutput: tenures\n\nInput: junior\nOutput: juniors\n\nThe instruction was", "metadata": { "examples_seen": "Input: copy\nOutput: copies\n\nInput: artwork\nOutput: artworks\n\nInput: descendant\nOutput: descendants\n\nInput: tenure\nOutput: tenures\n\nInput: junior\nOutput: juniors" } }, "10": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: steal\nOutput: steals\n\nInput: strip\nOutput: strips\n\nInput: registry\nOutput: registries\n\nInput: hub\nOutput: hubs\n\nInput: recipe\nOutput: recipes\n\nThe instruction was", "metadata": { "examples_seen": "Input: steal\nOutput: steals\n\nInput: strip\nOutput: strips\n\nInput: registry\nOutput: registries\n\nInput: hub\nOutput: hubs\n\nInput: recipe\nOutput: recipes" } }, "11": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: limit\nOutput: limits\n\nInput: cage\nOutput: cages\n\nInput: inventor\nOutput: inventors\n\nInput: standout\nOutput: standouts\n\nInput: adventure\nOutput: adventures\n\nThe instruction was", "metadata": { "examples_seen": "Input: limit\nOutput: limits\n\nInput: cage\nOutput: cages\n\nInput: inventor\nOutput: inventors\n\nInput: standout\nOutput: standouts\n\nInput: adventure\nOutput: adventures" } }, "12": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: gag\nOutput: gags\n\nInput: pursue\nOutput: pursues\n\nInput: charge\nOutput: charges\n\nInput: plantation\nOutput: plantations\n\nInput: journalist\nOutput: journalists\n\nThe instruction was", "metadata": { "examples_seen": "Input: gag\nOutput: gags\n\nInput: pursue\nOutput: pursues\n\nInput: charge\nOutput: charges\n\nInput: plantation\nOutput: plantations\n\nInput: journalist\nOutput: journalists" } }, "13": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: level\nOutput: levels\n\nInput: week\nOutput: weeks\n\nInput: struggle\nOutput: struggles\n\nInput: highway\nOutput: highways\n\nInput: wall\nOutput: walls\n\nThe instruction was", "metadata": { "examples_seen": "Input: level\nOutput: levels\n\nInput: week\nOutput: weeks\n\nInput: struggle\nOutput: struggles\n\nInput: highway\nOutput: highways\n\nInput: wall\nOutput: walls" } }, "14": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: letter\nOutput: letters\n\nInput: shelf\nOutput: shelves\n\nInput: battlecruiser\nOutput: battlecruisers\n\nInput: formula\nOutput: formulas\n\nInput: atom\nOutput: atoms\n\nThe instruction was", "metadata": { "examples_seen": "Input: letter\nOutput: letters\n\nInput: shelf\nOutput: shelves\n\nInput: battlecruiser\nOutput: battlecruisers\n\nInput: formula\nOutput: formulas\n\nInput: atom\nOutput: atoms" } }, "15": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: founder\nOutput: founders\n\nInput: crane\nOutput: cranes\n\nInput: form\nOutput: forms\n\nInput: piercing\nOutput: piercings\n\nInput: retrieve\nOutput: retrieves\n\nThe instruction was", "metadata": { "examples_seen": "Input: founder\nOutput: founders\n\nInput: crane\nOutput: cranes\n\nInput: form\nOutput: forms\n\nInput: piercing\nOutput: piercings\n\nInput: retrieve\nOutput: retrieves" } }, "16": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: reconstruction\nOutput: reconstructions\n\nInput: connection\nOutput: connections\n\nInput: antibody\nOutput: antibodies\n\nInput: interaction\nOutput: interactions\n\nInput: limb\nOutput: limbs\n\nThe instruction was", "metadata": { "examples_seen": "Input: reconstruction\nOutput: reconstructions\n\nInput: connection\nOutput: connections\n\nInput: antibody\nOutput: antibodies\n\nInput: interaction\nOutput: interactions\n\nInput: limb\nOutput: limbs" } }, "17": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: freeway\nOutput: freeways\n\nInput: boyfriend\nOutput: boyfriends\n\nInput: update\nOutput: updates\n\nInput: suspension\nOutput: suspensions\n\nInput: introduction\nOutput: introductions\n\nThe instruction was", "metadata": { "examples_seen": "Input: freeway\nOutput: freeways\n\nInput: boyfriend\nOutput: boyfriends\n\nInput: update\nOutput: updates\n\nInput: suspension\nOutput: suspensions\n\nInput: introduction\nOutput: introductions" } }, "18": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: substance\nOutput: substances\n\nInput: log\nOutput: logs\n\nInput: sheep\nOutput: sheep\n\nInput: soldier\nOutput: soldiers\n\nInput: wedding\nOutput: weddings\n\nThe instruction was", "metadata": { "examples_seen": "Input: substance\nOutput: substances\n\nInput: log\nOutput: logs\n\nInput: sheep\nOutput: sheep\n\nInput: soldier\nOutput: soldiers\n\nInput: wedding\nOutput: weddings" } }, "19": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: concession\nOutput: concessions\n\nInput: border\nOutput: borders\n\nInput: landfall\nOutput: landfalls\n\nInput: pairing\nOutput: pairings\n\nInput: drag\nOutput: drags\n\nThe instruction was", "metadata": { "examples_seen": "Input: concession\nOutput: concessions\n\nInput: border\nOutput: borders\n\nInput: landfall\nOutput: landfalls\n\nInput: pairing\nOutput: pairings\n\nInput: drag\nOutput: drags" } }, "20": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: liability\nOutput: liabilities\n\nInput: contribution\nOutput: contributions\n\nInput: shortage\nOutput: shortages\n\nInput: pianist\nOutput: pianists\n\nInput: touchdown\nOutput: touchdowns\n\nThe instruction was", "metadata": { "examples_seen": "Input: liability\nOutput: liabilities\n\nInput: contribution\nOutput: contributions\n\nInput: shortage\nOutput: shortages\n\nInput: pianist\nOutput: pianists\n\nInput: touchdown\nOutput: touchdowns" } }, "21": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: legacy\nOutput: legacies\n\nInput: expansion\nOutput: expansions\n\nInput: trailer\nOutput: trailers\n\nInput: payment\nOutput: payments\n\nInput: color\nOutput: colors\n\nThe instruction was", "metadata": { "examples_seen": "Input: legacy\nOutput: legacies\n\nInput: expansion\nOutput: expansions\n\nInput: trailer\nOutput: trailers\n\nInput: payment\nOutput: payments\n\nInput: color\nOutput: colors" } }, "22": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: forest\nOutput: forests\n\nInput: sensation\nOutput: sensations\n\nInput: floor\nOutput: floors\n\nInput: enclosure\nOutput: enclosures\n\nInput: regime\nOutput: regimes\n\nThe instruction was", "metadata": { "examples_seen": "Input: forest\nOutput: forests\n\nInput: sensation\nOutput: sensations\n\nInput: floor\nOutput: floors\n\nInput: enclosure\nOutput: enclosures\n\nInput: regime\nOutput: regimes" } }, "23": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: editor\nOutput: editors\n\nInput: rival\nOutput: rivals\n\nInput: surge\nOutput: surges\n\nInput: rocket\nOutput: rockets\n\nInput: council\nOutput: councils\n\nThe instruction was", "metadata": { "examples_seen": "Input: editor\nOutput: editors\n\nInput: rival\nOutput: rivals\n\nInput: surge\nOutput: surges\n\nInput: rocket\nOutput: rockets\n\nInput: council\nOutput: councils" } }, "24": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: expansion\nOutput: expansions\n\nInput: suit\nOutput: suits\n\nInput: obligation\nOutput: obligations\n\nInput: stick\nOutput: sticks\n\nInput: corridor\nOutput: corridors\n\nThe instruction was", "metadata": { "examples_seen": "Input: expansion\nOutput: expansions\n\nInput: suit\nOutput: suits\n\nInput: obligation\nOutput: obligations\n\nInput: stick\nOutput: sticks\n\nInput: corridor\nOutput: corridors" } }, "25": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: concert\nOutput: concerts\n\nInput: invitation\nOutput: invitations\n\nInput: trophy\nOutput: trophies\n\nInput: city\nOutput: cities\n\nInput: vibe\nOutput: vibes\n\nThe instruction was", "metadata": { "examples_seen": "Input: concert\nOutput: concerts\n\nInput: invitation\nOutput: invitations\n\nInput: trophy\nOutput: trophies\n\nInput: city\nOutput: cities\n\nInput: vibe\nOutput: vibes" } }, "26": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bear\nOutput: bears\n\nInput: narrative\nOutput: narratives\n\nInput: meditation\nOutput: meditations\n\nInput: connection\nOutput: connections\n\nInput: persuade\nOutput: persuades\n\nThe instruction was", "metadata": { "examples_seen": "Input: bear\nOutput: bears\n\nInput: narrative\nOutput: narratives\n\nInput: meditation\nOutput: meditations\n\nInput: connection\nOutput: connections\n\nInput: persuade\nOutput: persuades" } }, "27": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: warning\nOutput: warnings\n\nInput: triumph\nOutput: triumphs\n\nInput: territory\nOutput: territories\n\nInput: expedition\nOutput: expeditions\n\nInput: foot\nOutput: feet\n\nThe instruction was", "metadata": { "examples_seen": "Input: warning\nOutput: warnings\n\nInput: triumph\nOutput: triumphs\n\nInput: territory\nOutput: territories\n\nInput: expedition\nOutput: expeditions\n\nInput: foot\nOutput: feet" } }, "28": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: race\nOutput: races\n\nInput: combat\nOutput: combats\n\nInput: restriction\nOutput: restrictions\n\nInput: sphere\nOutput: spheres\n\nInput: uncle\nOutput: uncles\n\nThe instruction was", "metadata": { "examples_seen": "Input: race\nOutput: races\n\nInput: combat\nOutput: combats\n\nInput: restriction\nOutput: restrictions\n\nInput: sphere\nOutput: spheres\n\nInput: uncle\nOutput: uncles" } }, "29": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: custom\nOutput: customs\n\nInput: owner\nOutput: owners\n\nInput: message\nOutput: messages\n\nInput: lift\nOutput: lifts\n\nInput: spear\nOutput: spears\n\nThe instruction was", "metadata": { "examples_seen": "Input: custom\nOutput: customs\n\nInput: owner\nOutput: owners\n\nInput: message\nOutput: messages\n\nInput: lift\nOutput: lifts\n\nInput: spear\nOutput: spears" } }, "30": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: deer\nOutput: deer\n\nInput: consideration\nOutput: considerations\n\nInput: exhibition\nOutput: exhibitions\n\nInput: railway\nOutput: railways\n\nInput: head\nOutput: heads\n\nThe instruction was", "metadata": { "examples_seen": "Input: deer\nOutput: deer\n\nInput: consideration\nOutput: considerations\n\nInput: exhibition\nOutput: exhibitions\n\nInput: railway\nOutput: railways\n\nInput: head\nOutput: heads" } }, "31": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bullet\nOutput: bullets\n\nInput: collapse\nOutput: collapses\n\nInput: finale\nOutput: finales\n\nInput: transfer\nOutput: transfers\n\nInput: file\nOutput: files\n\nThe instruction was", "metadata": { "examples_seen": "Input: bullet\nOutput: bullets\n\nInput: collapse\nOutput: collapses\n\nInput: finale\nOutput: finales\n\nInput: transfer\nOutput: transfers\n\nInput: file\nOutput: files" } }, "32": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: terrain\nOutput: terrains\n\nInput: side\nOutput: sides\n\nInput: flank\nOutput: flanks\n\nInput: trademark\nOutput: trademarks\n\nInput: neighbourhood\nOutput: neighbourhoods\n\nThe instruction was", "metadata": { "examples_seen": "Input: terrain\nOutput: terrains\n\nInput: side\nOutput: sides\n\nInput: flank\nOutput: flanks\n\nInput: trademark\nOutput: trademarks\n\nInput: neighbourhood\nOutput: neighbourhoods" } }, "33": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: witness\nOutput: witnesses\n\nInput: passenger\nOutput: passengers\n\nInput: purchase\nOutput: purchases\n\nInput: fund\nOutput: funds\n\nInput: log\nOutput: logs\n\nThe instruction was", "metadata": { "examples_seen": "Input: witness\nOutput: witnesses\n\nInput: passenger\nOutput: passengers\n\nInput: purchase\nOutput: purchases\n\nInput: fund\nOutput: funds\n\nInput: log\nOutput: logs" } }, "34": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: shooter\nOutput: shooters\n\nInput: jurisdiction\nOutput: jurisdictions\n\nInput: screenplay\nOutput: screenplays\n\nInput: link\nOutput: links\n\nInput: basement\nOutput: basements\n\nThe instruction was", "metadata": { "examples_seen": "Input: shooter\nOutput: shooters\n\nInput: jurisdiction\nOutput: jurisdictions\n\nInput: screenplay\nOutput: screenplays\n\nInput: link\nOutput: links\n\nInput: basement\nOutput: basements" } }, "35": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: float\nOutput: floats\n\nInput: specimen\nOutput: specimens\n\nInput: reissue\nOutput: reissues\n\nInput: month\nOutput: months\n\nInput: legacy\nOutput: legacies\n\nThe instruction was", "metadata": { "examples_seen": "Input: float\nOutput: floats\n\nInput: specimen\nOutput: specimens\n\nInput: reissue\nOutput: reissues\n\nInput: month\nOutput: months\n\nInput: legacy\nOutput: legacies" } }, "36": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pastor\nOutput: pastors\n\nInput: snout\nOutput: snouts\n\nInput: cricket\nOutput: crickets\n\nInput: guess\nOutput: guesses\n\nInput: boycott\nOutput: boycotts\n\nThe instruction was", "metadata": { "examples_seen": "Input: pastor\nOutput: pastors\n\nInput: snout\nOutput: snouts\n\nInput: cricket\nOutput: crickets\n\nInput: guess\nOutput: guesses\n\nInput: boycott\nOutput: boycotts" } }, "37": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pipeline\nOutput: pipelines\n\nInput: drink\nOutput: drinks\n\nInput: landslide\nOutput: landslides\n\nInput: crossing\nOutput: crossings\n\nInput: ion\nOutput: ions\n\nThe instruction was", "metadata": { "examples_seen": "Input: pipeline\nOutput: pipelines\n\nInput: drink\nOutput: drinks\n\nInput: landslide\nOutput: landslides\n\nInput: crossing\nOutput: crossings\n\nInput: ion\nOutput: ions" } }, "38": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: cure\nOutput: cures\n\nInput: grenade\nOutput: grenades\n\nInput: counterpart\nOutput: counterparts\n\nInput: day\nOutput: days\n\nInput: cameo\nOutput: cameos\n\nThe instruction was", "metadata": { "examples_seen": "Input: cure\nOutput: cures\n\nInput: grenade\nOutput: grenades\n\nInput: counterpart\nOutput: counterparts\n\nInput: day\nOutput: days\n\nInput: cameo\nOutput: cameos" } }, "39": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: coronation\nOutput: coronations\n\nInput: cottage\nOutput: cottages\n\nInput: mast\nOutput: masts\n\nInput: parody\nOutput: parodies\n\nInput: ruling\nOutput: rulings\n\nThe instruction was", "metadata": { "examples_seen": "Input: coronation\nOutput: coronations\n\nInput: cottage\nOutput: cottages\n\nInput: mast\nOutput: masts\n\nInput: parody\nOutput: parodies\n\nInput: ruling\nOutput: rulings" } }, "40": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: seat\nOutput: seats\n\nInput: crater\nOutput: craters\n\nInput: image\nOutput: images\n\nInput: compare\nOutput: compares\n\nInput: messenger\nOutput: messengers\n\nThe instruction was", "metadata": { "examples_seen": "Input: seat\nOutput: seats\n\nInput: crater\nOutput: craters\n\nInput: image\nOutput: images\n\nInput: compare\nOutput: compares\n\nInput: messenger\nOutput: messengers" } }, "41": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: synagogue\nOutput: synagogues\n\nInput: cricketer\nOutput: cricketers\n\nInput: wreck\nOutput: wrecks\n\nInput: dialect\nOutput: dialects\n\nInput: disturbance\nOutput: disturbances\n\nThe instruction was", "metadata": { "examples_seen": "Input: synagogue\nOutput: synagogues\n\nInput: cricketer\nOutput: cricketers\n\nInput: wreck\nOutput: wrecks\n\nInput: dialect\nOutput: dialects\n\nInput: disturbance\nOutput: disturbances" } }, "42": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: prosecutor\nOutput: prosecutors\n\nInput: verb\nOutput: verbs\n\nInput: eye\nOutput: eyes\n\nInput: forest\nOutput: forests\n\nInput: slope\nOutput: slopes\n\nThe instruction was", "metadata": { "examples_seen": "Input: prosecutor\nOutput: prosecutors\n\nInput: verb\nOutput: verbs\n\nInput: eye\nOutput: eyes\n\nInput: forest\nOutput: forests\n\nInput: slope\nOutput: slopes" } }, "43": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sample\nOutput: samples\n\nInput: addiction\nOutput: addictions\n\nInput: accommodate\nOutput: accommodates\n\nInput: window\nOutput: windows\n\nInput: cone\nOutput: cones\n\nThe instruction was", "metadata": { "examples_seen": "Input: sample\nOutput: samples\n\nInput: addiction\nOutput: addictions\n\nInput: accommodate\nOutput: accommodates\n\nInput: window\nOutput: windows\n\nInput: cone\nOutput: cones" } }, "44": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: locality\nOutput: localities\n\nInput: remix\nOutput: remixes\n\nInput: position\nOutput: positions\n\nInput: diabetes\nOutput: diabetes\n\nInput: batsman\nOutput: batsmen\n\nThe instruction was", "metadata": { "examples_seen": "Input: locality\nOutput: localities\n\nInput: remix\nOutput: remixes\n\nInput: position\nOutput: positions\n\nInput: diabetes\nOutput: diabetes\n\nInput: batsman\nOutput: batsmen" } }, "45": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: semester\nOutput: semesters\n\nInput: monster\nOutput: monsters\n\nInput: receiver\nOutput: receivers\n\nInput: casino\nOutput: casinos\n\nInput: balloon\nOutput: balloons\n\nThe instruction was", "metadata": { "examples_seen": "Input: semester\nOutput: semesters\n\nInput: monster\nOutput: monsters\n\nInput: receiver\nOutput: receivers\n\nInput: casino\nOutput: casinos\n\nInput: balloon\nOutput: balloons" } }, "46": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: counter\nOutput: counters\n\nInput: anthology\nOutput: anthologies\n\nInput: substance\nOutput: substances\n\nInput: disc\nOutput: discs\n\nInput: filter\nOutput: filters\n\nThe instruction was", "metadata": { "examples_seen": "Input: counter\nOutput: counters\n\nInput: anthology\nOutput: anthologies\n\nInput: substance\nOutput: substances\n\nInput: disc\nOutput: discs\n\nInput: filter\nOutput: filters" } }, "47": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: assassination\nOutput: assassinations\n\nInput: picture\nOutput: pictures\n\nInput: robot\nOutput: robots\n\nInput: cousin\nOutput: cousins\n\nInput: circus\nOutput: circuses\n\nThe instruction was", "metadata": { "examples_seen": "Input: assassination\nOutput: assassinations\n\nInput: picture\nOutput: pictures\n\nInput: robot\nOutput: robots\n\nInput: cousin\nOutput: cousins\n\nInput: circus\nOutput: circuses" } }, "48": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: button\nOutput: buttons\n\nInput: segment\nOutput: segments\n\nInput: situation\nOutput: situations\n\nInput: travel\nOutput: travels\n\nInput: cat\nOutput: cats\n\nThe instruction was", "metadata": { "examples_seen": "Input: button\nOutput: buttons\n\nInput: segment\nOutput: segments\n\nInput: situation\nOutput: situations\n\nInput: travel\nOutput: travels\n\nInput: cat\nOutput: cats" } }, "49": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: surname\nOutput: surnames\n\nInput: visitor\nOutput: visitors\n\nInput: brood\nOutput: broods\n\nInput: board\nOutput: boards\n\nInput: support\nOutput: supports\n\nThe instruction was", "metadata": { "examples_seen": "Input: surname\nOutput: surnames\n\nInput: visitor\nOutput: visitors\n\nInput: brood\nOutput: broods\n\nInput: board\nOutput: boards\n\nInput: support\nOutput: supports" } }, "50": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: village\nOutput: villages\n\nInput: skin\nOutput: skins\n\nInput: library\nOutput: libraries\n\nInput: week\nOutput: weeks\n\nInput: guess\nOutput: guesses\n\nThe instruction was", "metadata": { "examples_seen": "Input: village\nOutput: villages\n\nInput: skin\nOutput: skins\n\nInput: library\nOutput: libraries\n\nInput: week\nOutput: weeks\n\nInput: guess\nOutput: guesses" } }, "51": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: population\nOutput: populations\n\nInput: semifinal\nOutput: semifinals\n\nInput: deer\nOutput: deer\n\nInput: trail\nOutput: trails\n\nInput: ability\nOutput: abilities\n\nThe instruction was", "metadata": { "examples_seen": "Input: population\nOutput: populations\n\nInput: semifinal\nOutput: semifinals\n\nInput: deer\nOutput: deer\n\nInput: trail\nOutput: trails\n\nInput: ability\nOutput: abilities" } }, "52": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: slip\nOutput: slips\n\nInput: manager\nOutput: managers\n\nInput: mention\nOutput: mentions\n\nInput: printing\nOutput: printings\n\nInput: radio\nOutput: radios\n\nThe instruction was", "metadata": { "examples_seen": "Input: slip\nOutput: slips\n\nInput: manager\nOutput: managers\n\nInput: mention\nOutput: mentions\n\nInput: printing\nOutput: printings\n\nInput: radio\nOutput: radios" } }, "53": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: funeral\nOutput: funerals\n\nInput: bell\nOutput: bells\n\nInput: storm\nOutput: storms\n\nInput: hurricane\nOutput: hurricanes\n\nInput: precedent\nOutput: precedents\n\nThe instruction was", "metadata": { "examples_seen": "Input: funeral\nOutput: funerals\n\nInput: bell\nOutput: bells\n\nInput: storm\nOutput: storms\n\nInput: hurricane\nOutput: hurricanes\n\nInput: precedent\nOutput: precedents" } }, "54": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: smallpox\nOutput: smallpox\n\nInput: salary\nOutput: salaries\n\nInput: sphere\nOutput: spheres\n\nInput: farmer\nOutput: farmers\n\nInput: governor\nOutput: governors\n\nThe instruction was", "metadata": { "examples_seen": "Input: smallpox\nOutput: smallpox\n\nInput: salary\nOutput: salaries\n\nInput: sphere\nOutput: spheres\n\nInput: farmer\nOutput: farmers\n\nInput: governor\nOutput: governors" } }, "55": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: tract\nOutput: tracts\n\nInput: desk\nOutput: desks\n\nInput: event\nOutput: events\n\nInput: keeper\nOutput: keepers\n\nInput: quote\nOutput: quotes\n\nThe instruction was", "metadata": { "examples_seen": "Input: tract\nOutput: tracts\n\nInput: desk\nOutput: desks\n\nInput: event\nOutput: events\n\nInput: keeper\nOutput: keepers\n\nInput: quote\nOutput: quotes" } }, "56": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: result\nOutput: results\n\nInput: opportunity\nOutput: opportunities\n\nInput: marking\nOutput: markings\n\nInput: majority\nOutput: majorities\n\nInput: flag\nOutput: flags\n\nThe instruction was", "metadata": { "examples_seen": "Input: result\nOutput: results\n\nInput: opportunity\nOutput: opportunities\n\nInput: marking\nOutput: markings\n\nInput: majority\nOutput: majorities\n\nInput: flag\nOutput: flags" } }, "57": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: shutout\nOutput: shutouts\n\nInput: goal\nOutput: goals\n\nInput: administrator\nOutput: administrators\n\nInput: sequence\nOutput: sequences\n\nInput: shake\nOutput: shakes\n\nThe instruction was", "metadata": { "examples_seen": "Input: shutout\nOutput: shutouts\n\nInput: goal\nOutput: goals\n\nInput: administrator\nOutput: administrators\n\nInput: sequence\nOutput: sequences\n\nInput: shake\nOutput: shakes" } }, "58": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dialect\nOutput: dialects\n\nInput: shutout\nOutput: shutouts\n\nInput: mood\nOutput: moods\n\nInput: builder\nOutput: builders\n\nInput: surgeon\nOutput: surgeons\n\nThe instruction was", "metadata": { "examples_seen": "Input: dialect\nOutput: dialects\n\nInput: shutout\nOutput: shutouts\n\nInput: mood\nOutput: moods\n\nInput: builder\nOutput: builders\n\nInput: surgeon\nOutput: surgeons" } }, "59": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: spin\nOutput: spins\n\nInput: defender\nOutput: defenders\n\nInput: gauge\nOutput: gauges\n\nInput: kilogram\nOutput: kilograms\n\nInput: farmer\nOutput: farmers\n\nThe instruction was", "metadata": { "examples_seen": "Input: spin\nOutput: spins\n\nInput: defender\nOutput: defenders\n\nInput: gauge\nOutput: gauges\n\nInput: kilogram\nOutput: kilograms\n\nInput: farmer\nOutput: farmers" } }, "60": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: nightclub\nOutput: nightclubs\n\nInput: scandal\nOutput: scandals\n\nInput: showcase\nOutput: showcases\n\nInput: component\nOutput: components\n\nInput: playwright\nOutput: playwrights\n\nThe instruction was", "metadata": { "examples_seen": "Input: nightclub\nOutput: nightclubs\n\nInput: scandal\nOutput: scandals\n\nInput: showcase\nOutput: showcases\n\nInput: component\nOutput: components\n\nInput: playwright\nOutput: playwrights" } }, "61": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: connection\nOutput: connections\n\nInput: supplement\nOutput: supplements\n\nInput: intersection\nOutput: intersections\n\nInput: reputation\nOutput: reputations\n\nInput: blade\nOutput: blades\n\nThe instruction was", "metadata": { "examples_seen": "Input: connection\nOutput: connections\n\nInput: supplement\nOutput: supplements\n\nInput: intersection\nOutput: intersections\n\nInput: reputation\nOutput: reputations\n\nInput: blade\nOutput: blades" } }, "62": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: birth\nOutput: births\n\nInput: animation\nOutput: animations\n\nInput: admit\nOutput: admits\n\nInput: rule\nOutput: rules\n\nInput: pop\nOutput: pops\n\nThe instruction was", "metadata": { "examples_seen": "Input: birth\nOutput: births\n\nInput: animation\nOutput: animations\n\nInput: admit\nOutput: admits\n\nInput: rule\nOutput: rules\n\nInput: pop\nOutput: pops" } }, "63": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: option\nOutput: options\n\nInput: surge\nOutput: surges\n\nInput: tune\nOutput: tunes\n\nInput: canopy\nOutput: canopies\n\nInput: mass\nOutput: masses\n\nThe instruction was", "metadata": { "examples_seen": "Input: option\nOutput: options\n\nInput: surge\nOutput: surges\n\nInput: tune\nOutput: tunes\n\nInput: canopy\nOutput: canopies\n\nInput: mass\nOutput: masses" } }, "64": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: vector\nOutput: vectors\n\nInput: quarterback\nOutput: quarterbacks\n\nInput: champion\nOutput: champions\n\nInput: court\nOutput: courts\n\nInput: beat\nOutput: beats\n\nThe instruction was", "metadata": { "examples_seen": "Input: vector\nOutput: vectors\n\nInput: quarterback\nOutput: quarterbacks\n\nInput: champion\nOutput: champions\n\nInput: court\nOutput: courts\n\nInput: beat\nOutput: beats" } }, "65": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: designation\nOutput: designations\n\nInput: stick\nOutput: sticks\n\nInput: rain\nOutput: rains\n\nInput: hop\nOutput: hops\n\nInput: front\nOutput: fronts\n\nThe instruction was", "metadata": { "examples_seen": "Input: designation\nOutput: designations\n\nInput: stick\nOutput: sticks\n\nInput: rain\nOutput: rains\n\nInput: hop\nOutput: hops\n\nInput: front\nOutput: fronts" } }, "66": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: servant\nOutput: servants\n\nInput: barrier\nOutput: barriers\n\nInput: commentary\nOutput: commentaries\n\nInput: name\nOutput: names\n\nInput: royalty\nOutput: royalties\n\nThe instruction was", "metadata": { "examples_seen": "Input: servant\nOutput: servants\n\nInput: barrier\nOutput: barriers\n\nInput: commentary\nOutput: commentaries\n\nInput: name\nOutput: names\n\nInput: royalty\nOutput: royalties" } }, "67": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: coin\nOutput: coins\n\nInput: pamphlet\nOutput: pamphlets\n\nInput: excuse\nOutput: excuses\n\nInput: trigger\nOutput: triggers\n\nInput: nationality\nOutput: nationalities\n\nThe instruction was", "metadata": { "examples_seen": "Input: coin\nOutput: coins\n\nInput: pamphlet\nOutput: pamphlets\n\nInput: excuse\nOutput: excuses\n\nInput: trigger\nOutput: triggers\n\nInput: nationality\nOutput: nationalities" } }, "68": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: contact\nOutput: contacts\n\nInput: ambulance\nOutput: ambulances\n\nInput: pulse\nOutput: pulses\n\nInput: treat\nOutput: treats\n\nInput: spot\nOutput: spots\n\nThe instruction was", "metadata": { "examples_seen": "Input: contact\nOutput: contacts\n\nInput: ambulance\nOutput: ambulances\n\nInput: pulse\nOutput: pulses\n\nInput: treat\nOutput: treats\n\nInput: spot\nOutput: spots" } }, "69": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: basis\nOutput: bases\n\nInput: note\nOutput: notes\n\nInput: persuade\nOutput: persuades\n\nInput: motorcycle\nOutput: motorcycles\n\nInput: chest\nOutput: chests\n\nThe instruction was", "metadata": { "examples_seen": "Input: basis\nOutput: bases\n\nInput: note\nOutput: notes\n\nInput: persuade\nOutput: persuades\n\nInput: motorcycle\nOutput: motorcycles\n\nInput: chest\nOutput: chests" } }, "70": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pin\nOutput: pins\n\nInput: crest\nOutput: crests\n\nInput: collapse\nOutput: collapses\n\nInput: landscape\nOutput: landscapes\n\nInput: shake\nOutput: shakes\n\nThe instruction was", "metadata": { "examples_seen": "Input: pin\nOutput: pins\n\nInput: crest\nOutput: crests\n\nInput: collapse\nOutput: collapses\n\nInput: landscape\nOutput: landscapes\n\nInput: shake\nOutput: shakes" } }, "71": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: guitarist\nOutput: guitarists\n\nInput: vault\nOutput: vaults\n\nInput: deputy\nOutput: deputies\n\nInput: circle\nOutput: circles\n\nInput: routine\nOutput: routines\n\nThe instruction was", "metadata": { "examples_seen": "Input: guitarist\nOutput: guitarists\n\nInput: vault\nOutput: vaults\n\nInput: deputy\nOutput: deputies\n\nInput: circle\nOutput: circles\n\nInput: routine\nOutput: routines" } }, "72": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: conclusion\nOutput: conclusions\n\nInput: comprise\nOutput: comprises\n\nInput: job\nOutput: jobs\n\nInput: cut\nOutput: cuts\n\nInput: linebacker\nOutput: linebackers\n\nThe instruction was", "metadata": { "examples_seen": "Input: conclusion\nOutput: conclusions\n\nInput: comprise\nOutput: comprises\n\nInput: job\nOutput: jobs\n\nInput: cut\nOutput: cuts\n\nInput: linebacker\nOutput: linebackers" } }, "73": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: reference\nOutput: references\n\nInput: meter\nOutput: meters\n\nInput: grip\nOutput: grips\n\nInput: dispute\nOutput: disputes\n\nInput: airplane\nOutput: airplanes\n\nThe instruction was", "metadata": { "examples_seen": "Input: reference\nOutput: references\n\nInput: meter\nOutput: meters\n\nInput: grip\nOutput: grips\n\nInput: dispute\nOutput: disputes\n\nInput: airplane\nOutput: airplanes" } }, "74": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: theorem\nOutput: theorems\n\nInput: pleasure\nOutput: pleasures\n\nInput: couple\nOutput: couples\n\nInput: weekend\nOutput: weekends\n\nInput: foul\nOutput: fouls\n\nThe instruction was", "metadata": { "examples_seen": "Input: theorem\nOutput: theorems\n\nInput: pleasure\nOutput: pleasures\n\nInput: couple\nOutput: couples\n\nInput: weekend\nOutput: weekends\n\nInput: foul\nOutput: fouls" } }, "75": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: commentator\nOutput: commentators\n\nInput: organism\nOutput: organisms\n\nInput: acid\nOutput: acids\n\nInput: linebacker\nOutput: linebackers\n\nInput: teenager\nOutput: teenagers\n\nThe instruction was", "metadata": { "examples_seen": "Input: commentator\nOutput: commentators\n\nInput: organism\nOutput: organisms\n\nInput: acid\nOutput: acids\n\nInput: linebacker\nOutput: linebackers\n\nInput: teenager\nOutput: teenagers" } }, "76": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: form\nOutput: forms\n\nInput: torture\nOutput: tortures\n\nInput: impedance\nOutput: impedances\n\nInput: villain\nOutput: villains\n\nInput: suit\nOutput: suits\n\nThe instruction was", "metadata": { "examples_seen": "Input: form\nOutput: forms\n\nInput: torture\nOutput: tortures\n\nInput: impedance\nOutput: impedances\n\nInput: villain\nOutput: villains\n\nInput: suit\nOutput: suits" } }, "77": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: launch\nOutput: launches\n\nInput: reinforcement\nOutput: reinforcements\n\nInput: blast\nOutput: blasts\n\nInput: laboratory\nOutput: laboratories\n\nInput: joke\nOutput: jokes\n\nThe instruction was", "metadata": { "examples_seen": "Input: launch\nOutput: launches\n\nInput: reinforcement\nOutput: reinforcements\n\nInput: blast\nOutput: blasts\n\nInput: laboratory\nOutput: laboratories\n\nInput: joke\nOutput: jokes" } }, "78": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: composition\nOutput: compositions\n\nInput: captain\nOutput: captains\n\nInput: highlight\nOutput: highlights\n\nInput: surgeon\nOutput: surgeons\n\nInput: formation\nOutput: formations\n\nThe instruction was", "metadata": { "examples_seen": "Input: composition\nOutput: compositions\n\nInput: captain\nOutput: captains\n\nInput: highlight\nOutput: highlights\n\nInput: surgeon\nOutput: surgeons\n\nInput: formation\nOutput: formations" } }, "79": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: battalion\nOutput: battalions\n\nInput: comment\nOutput: comments\n\nInput: arrangement\nOutput: arrangements\n\nInput: arrival\nOutput: arrivals\n\nInput: share\nOutput: shares\n\nThe instruction was", "metadata": { "examples_seen": "Input: battalion\nOutput: battalions\n\nInput: comment\nOutput: comments\n\nInput: arrangement\nOutput: arrangements\n\nInput: arrival\nOutput: arrivals\n\nInput: share\nOutput: shares" } }, "80": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: turn\nOutput: turns\n\nInput: tip\nOutput: tips\n\nInput: street\nOutput: streets\n\nInput: office\nOutput: offices\n\nInput: relay\nOutput: relays\n\nThe instruction was", "metadata": { "examples_seen": "Input: turn\nOutput: turns\n\nInput: tip\nOutput: tips\n\nInput: street\nOutput: streets\n\nInput: office\nOutput: offices\n\nInput: relay\nOutput: relays" } }, "81": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: implement\nOutput: implements\n\nInput: instruction\nOutput: instructions\n\nInput: corner\nOutput: corners\n\nInput: bank\nOutput: banks\n\nInput: tribute\nOutput: tributes\n\nThe instruction was", "metadata": { "examples_seen": "Input: implement\nOutput: implements\n\nInput: instruction\nOutput: instructions\n\nInput: corner\nOutput: corners\n\nInput: bank\nOutput: banks\n\nInput: tribute\nOutput: tributes" } }, "82": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: prayer\nOutput: prayers\n\nInput: flood\nOutput: floods\n\nInput: pamphlet\nOutput: pamphlets\n\nInput: cause\nOutput: causes\n\nInput: dancer\nOutput: dancers\n\nThe instruction was", "metadata": { "examples_seen": "Input: prayer\nOutput: prayers\n\nInput: flood\nOutput: floods\n\nInput: pamphlet\nOutput: pamphlets\n\nInput: cause\nOutput: causes\n\nInput: dancer\nOutput: dancers" } }, "83": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: robbery\nOutput: robberies\n\nInput: necessity\nOutput: necessities\n\nInput: mother\nOutput: mothers\n\nInput: conductor\nOutput: conductors\n\nInput: vector\nOutput: vectors\n\nThe instruction was", "metadata": { "examples_seen": "Input: robbery\nOutput: robberies\n\nInput: necessity\nOutput: necessities\n\nInput: mother\nOutput: mothers\n\nInput: conductor\nOutput: conductors\n\nInput: vector\nOutput: vectors" } }, "84": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: idea\nOutput: ideas\n\nInput: masterpiece\nOutput: masterpieces\n\nInput: escort\nOutput: escorts\n\nInput: fluoride\nOutput: fluorides\n\nInput: complaint\nOutput: complaints\n\nThe instruction was", "metadata": { "examples_seen": "Input: idea\nOutput: ideas\n\nInput: masterpiece\nOutput: masterpieces\n\nInput: escort\nOutput: escorts\n\nInput: fluoride\nOutput: fluorides\n\nInput: complaint\nOutput: complaints" } }, "85": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: illusion\nOutput: illusions\n\nInput: castle\nOutput: castles\n\nInput: performer\nOutput: performers\n\nInput: clearing\nOutput: clearings\n\nInput: linebacker\nOutput: linebackers\n\nThe instruction was", "metadata": { "examples_seen": "Input: illusion\nOutput: illusions\n\nInput: castle\nOutput: castles\n\nInput: performer\nOutput: performers\n\nInput: clearing\nOutput: clearings\n\nInput: linebacker\nOutput: linebackers" } }, "86": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: hierarchy\nOutput: hierarchies\n\nInput: peak\nOutput: peaks\n\nInput: escort\nOutput: escorts\n\nInput: shutout\nOutput: shutouts\n\nInput: knee\nOutput: knees\n\nThe instruction was", "metadata": { "examples_seen": "Input: hierarchy\nOutput: hierarchies\n\nInput: peak\nOutput: peaks\n\nInput: escort\nOutput: escorts\n\nInput: shutout\nOutput: shutouts\n\nInput: knee\nOutput: knees" } }, "87": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: chemist\nOutput: chemists\n\nInput: cannon\nOutput: cannons\n\nInput: coronation\nOutput: coronations\n\nInput: boundary\nOutput: boundaries\n\nInput: consideration\nOutput: considerations\n\nThe instruction was", "metadata": { "examples_seen": "Input: chemist\nOutput: chemists\n\nInput: cannon\nOutput: cannons\n\nInput: coronation\nOutput: coronations\n\nInput: boundary\nOutput: boundaries\n\nInput: consideration\nOutput: considerations" } }, "88": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: cantata\nOutput: cantatas\n\nInput: siege\nOutput: sieges\n\nInput: walk\nOutput: walks\n\nInput: farmland\nOutput: farmlands\n\nInput: masterpiece\nOutput: masterpieces\n\nThe instruction was", "metadata": { "examples_seen": "Input: cantata\nOutput: cantatas\n\nInput: siege\nOutput: sieges\n\nInput: walk\nOutput: walks\n\nInput: farmland\nOutput: farmlands\n\nInput: masterpiece\nOutput: masterpieces" } }, "89": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: article\nOutput: articles\n\nInput: gap\nOutput: gaps\n\nInput: state\nOutput: states\n\nInput: penis\nOutput: penises\n\nInput: substance\nOutput: substances\n\nThe instruction was", "metadata": { "examples_seen": "Input: article\nOutput: articles\n\nInput: gap\nOutput: gaps\n\nInput: state\nOutput: states\n\nInput: penis\nOutput: penises\n\nInput: substance\nOutput: substances" } }, "90": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: boom\nOutput: booms\n\nInput: concession\nOutput: concessions\n\nInput: remix\nOutput: remixes\n\nInput: hierarchy\nOutput: hierarchies\n\nInput: model\nOutput: models\n\nThe instruction was", "metadata": { "examples_seen": "Input: boom\nOutput: booms\n\nInput: concession\nOutput: concessions\n\nInput: remix\nOutput: remixes\n\nInput: hierarchy\nOutput: hierarchies\n\nInput: model\nOutput: models" } }, "91": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: collision\nOutput: collisions\n\nInput: rotation\nOutput: rotations\n\nInput: classroom\nOutput: classrooms\n\nInput: runner\nOutput: runners\n\nInput: leader\nOutput: leaders\n\nThe instruction was", "metadata": { "examples_seen": "Input: collision\nOutput: collisions\n\nInput: rotation\nOutput: rotations\n\nInput: classroom\nOutput: classrooms\n\nInput: runner\nOutput: runners\n\nInput: leader\nOutput: leaders" } }, "92": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: message\nOutput: messages\n\nInput: dinosaur\nOutput: dinosaurs\n\nInput: prostitute\nOutput: prostitutes\n\nInput: consort\nOutput: consorts\n\nInput: trademark\nOutput: trademarks\n\nThe instruction was", "metadata": { "examples_seen": "Input: message\nOutput: messages\n\nInput: dinosaur\nOutput: dinosaurs\n\nInput: prostitute\nOutput: prostitutes\n\nInput: consort\nOutput: consorts\n\nInput: trademark\nOutput: trademarks" } }, "93": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: disability\nOutput: disabilities\n\nInput: shake\nOutput: shakes\n\nInput: score\nOutput: scores\n\nInput: railway\nOutput: railways\n\nInput: break\nOutput: breaks\n\nThe instruction was", "metadata": { "examples_seen": "Input: disability\nOutput: disabilities\n\nInput: shake\nOutput: shakes\n\nInput: score\nOutput: scores\n\nInput: railway\nOutput: railways\n\nInput: break\nOutput: breaks" } }, "94": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: outbreak\nOutput: outbreaks\n\nInput: theatre\nOutput: theatres\n\nInput: colour\nOutput: colours\n\nInput: zone\nOutput: zones\n\nInput: district\nOutput: districts\n\nThe instruction was", "metadata": { "examples_seen": "Input: outbreak\nOutput: outbreaks\n\nInput: theatre\nOutput: theatres\n\nInput: colour\nOutput: colours\n\nInput: zone\nOutput: zones\n\nInput: district\nOutput: districts" } }, "95": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: retirement\nOutput: retirements\n\nInput: artist\nOutput: artists\n\nInput: twist\nOutput: twists\n\nInput: application\nOutput: applications\n\nInput: admit\nOutput: admits\n\nThe instruction was", "metadata": { "examples_seen": "Input: retirement\nOutput: retirements\n\nInput: artist\nOutput: artists\n\nInput: twist\nOutput: twists\n\nInput: application\nOutput: applications\n\nInput: admit\nOutput: admits" } }, "96": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: question\nOutput: questions\n\nInput: inventory\nOutput: inventories\n\nInput: trail\nOutput: trails\n\nInput: theory\nOutput: theories\n\nInput: yield\nOutput: yields\n\nThe instruction was", "metadata": { "examples_seen": "Input: question\nOutput: questions\n\nInput: inventory\nOutput: inventories\n\nInput: trail\nOutput: trails\n\nInput: theory\nOutput: theories\n\nInput: yield\nOutput: yields" } }, "97": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: underside\nOutput: undersides\n\nInput: assertion\nOutput: assertions\n\nInput: throat\nOutput: throats\n\nInput: finger\nOutput: fingers\n\nInput: belt\nOutput: belts\n\nThe instruction was", "metadata": { "examples_seen": "Input: underside\nOutput: undersides\n\nInput: assertion\nOutput: assertions\n\nInput: throat\nOutput: throats\n\nInput: finger\nOutput: fingers\n\nInput: belt\nOutput: belts" } }, "98": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: locomotive\nOutput: locomotives\n\nInput: interlude\nOutput: interludes\n\nInput: resource\nOutput: resources\n\nInput: gust\nOutput: gusts\n\nInput: weapon\nOutput: weapons\n\nThe instruction was", "metadata": { "examples_seen": "Input: locomotive\nOutput: locomotives\n\nInput: interlude\nOutput: interludes\n\nInput: resource\nOutput: resources\n\nInput: gust\nOutput: gusts\n\nInput: weapon\nOutput: weapons" } }, "99": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: update\nOutput: updates\n\nInput: concession\nOutput: concessions\n\nInput: report\nOutput: reports\n\nInput: pregnancy\nOutput: pregnancies\n\nInput: reach\nOutput: reaches\n\nThe instruction was", "metadata": { "examples_seen": "Input: update\nOutput: updates\n\nInput: concession\nOutput: concessions\n\nInput: report\nOutput: reports\n\nInput: pregnancy\nOutput: pregnancies\n\nInput: reach\nOutput: reaches" } }, "100": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: tank\nOutput: tanks\n\nInput: combat\nOutput: combats\n\nInput: slot\nOutput: slots\n\nInput: patrol\nOutput: patrols\n\nInput: environment\nOutput: environments\n\nThe instruction was", "metadata": { "examples_seen": "Input: tank\nOutput: tanks\n\nInput: combat\nOutput: combats\n\nInput: slot\nOutput: slots\n\nInput: patrol\nOutput: patrols\n\nInput: environment\nOutput: environments" } } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/induction_input/sum.json ================================================ { "examples": { "1": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 7 84\nOutput: 91\n\nInput: 52 71\nOutput: 123\n\nInput: 8 64\nOutput: 72\n\nInput: 76 99\nOutput: 175\n\nInput: 22 81\nOutput: 103\n\nThe instruction was", "metadata": { "examples_seen": "Input: 7 84\nOutput: 91\n\nInput: 52 71\nOutput: 123\n\nInput: 8 64\nOutput: 72\n\nInput: 76 99\nOutput: 175\n\nInput: 22 81\nOutput: 103" } }, "2": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 0 54\nOutput: 54\n\nInput: 67 84\nOutput: 151\n\nInput: 7 66\nOutput: 73\n\nInput: 55 85\nOutput: 140\n\nInput: 29 48\nOutput: 77\n\nThe instruction was", "metadata": { "examples_seen": "Input: 0 54\nOutput: 54\n\nInput: 67 84\nOutput: 151\n\nInput: 7 66\nOutput: 73\n\nInput: 55 85\nOutput: 140\n\nInput: 29 48\nOutput: 77" } }, "3": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 13 41\nOutput: 54\n\nInput: 29 42\nOutput: 71\n\nInput: 76 76\nOutput: 152\n\nInput: 19 90\nOutput: 109\n\nInput: 37 44\nOutput: 81\n\nThe instruction was", "metadata": { "examples_seen": "Input: 13 41\nOutput: 54\n\nInput: 29 42\nOutput: 71\n\nInput: 76 76\nOutput: 152\n\nInput: 19 90\nOutput: 109\n\nInput: 37 44\nOutput: 81" } }, "4": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 29 29\nOutput: 58\n\nInput: 20 68\nOutput: 88\n\nInput: 43 51\nOutput: 94\n\nInput: 37 49\nOutput: 86\n\nInput: 5 8\nOutput: 13\n\nThe instruction was", "metadata": { "examples_seen": "Input: 29 29\nOutput: 58\n\nInput: 20 68\nOutput: 88\n\nInput: 43 51\nOutput: 94\n\nInput: 37 49\nOutput: 86\n\nInput: 5 8\nOutput: 13" } }, "5": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 12 99\nOutput: 111\n\nInput: 29 33\nOutput: 62\n\nInput: 2 50\nOutput: 52\n\nInput: 29 55\nOutput: 84\n\nInput: 33 83\nOutput: 116\n\nThe instruction was", "metadata": { "examples_seen": "Input: 12 99\nOutput: 111\n\nInput: 29 33\nOutput: 62\n\nInput: 2 50\nOutput: 52\n\nInput: 29 55\nOutput: 84\n\nInput: 33 83\nOutput: 116" } }, "6": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 26 69\nOutput: 95\n\nInput: 74 83\nOutput: 157\n\nInput: 92 97\nOutput: 189\n\nInput: 34 69\nOutput: 103\n\nInput: 24 75\nOutput: 99\n\nThe instruction was", "metadata": { "examples_seen": "Input: 26 69\nOutput: 95\n\nInput: 74 83\nOutput: 157\n\nInput: 92 97\nOutput: 189\n\nInput: 34 69\nOutput: 103\n\nInput: 24 75\nOutput: 99" } }, "7": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 61 92\nOutput: 153\n\nInput: 34 42\nOutput: 76\n\nInput: 10 58\nOutput: 68\n\nInput: 25 44\nOutput: 69\n\nInput: 7 94\nOutput: 101\n\nThe instruction was", "metadata": { "examples_seen": "Input: 61 92\nOutput: 153\n\nInput: 34 42\nOutput: 76\n\nInput: 10 58\nOutput: 68\n\nInput: 25 44\nOutput: 69\n\nInput: 7 94\nOutput: 101" } }, "8": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 2 18\nOutput: 20\n\nInput: 28 84\nOutput: 112\n\nInput: 3 51\nOutput: 54\n\nInput: 10 72\nOutput: 82\n\nInput: 13 86\nOutput: 99\n\nThe instruction was", "metadata": { "examples_seen": "Input: 2 18\nOutput: 20\n\nInput: 28 84\nOutput: 112\n\nInput: 3 51\nOutput: 54\n\nInput: 10 72\nOutput: 82\n\nInput: 13 86\nOutput: 99" } }, "9": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 54 84\nOutput: 138\n\nInput: 26 71\nOutput: 97\n\nInput: 1 36\nOutput: 37\n\nInput: 29 51\nOutput: 80\n\nInput: 53 91\nOutput: 144\n\nThe instruction was", "metadata": { "examples_seen": "Input: 54 84\nOutput: 138\n\nInput: 26 71\nOutput: 97\n\nInput: 1 36\nOutput: 37\n\nInput: 29 51\nOutput: 80\n\nInput: 53 91\nOutput: 144" } }, "10": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 44 72\nOutput: 116\n\nInput: 11 98\nOutput: 109\n\nInput: 17 32\nOutput: 49\n\nInput: 50 62\nOutput: 112\n\nInput: 50 58\nOutput: 108\n\nThe instruction was", "metadata": { "examples_seen": "Input: 44 72\nOutput: 116\n\nInput: 11 98\nOutput: 109\n\nInput: 17 32\nOutput: 49\n\nInput: 50 62\nOutput: 112\n\nInput: 50 58\nOutput: 108" } }, "11": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 65 96\nOutput: 161\n\nInput: 52 65\nOutput: 117\n\nInput: 35 91\nOutput: 126\n\nInput: 29 34\nOutput: 63\n\nInput: 19 43\nOutput: 62\n\nThe instruction was", "metadata": { "examples_seen": "Input: 65 96\nOutput: 161\n\nInput: 52 65\nOutput: 117\n\nInput: 35 91\nOutput: 126\n\nInput: 29 34\nOutput: 63\n\nInput: 19 43\nOutput: 62" } }, "12": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 18 29\nOutput: 47\n\nInput: 43 93\nOutput: 136\n\nInput: 38 91\nOutput: 129\n\nInput: 84 99\nOutput: 183\n\nInput: 22 30\nOutput: 52\n\nThe instruction was", "metadata": { "examples_seen": "Input: 18 29\nOutput: 47\n\nInput: 43 93\nOutput: 136\n\nInput: 38 91\nOutput: 129\n\nInput: 84 99\nOutput: 183\n\nInput: 22 30\nOutput: 52" } }, "13": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 33 45\nOutput: 78\n\nInput: 12 98\nOutput: 110\n\nInput: 46 90\nOutput: 136\n\nInput: 56 77\nOutput: 133\n\nInput: 14 59\nOutput: 73\n\nThe instruction was", "metadata": { "examples_seen": "Input: 33 45\nOutput: 78\n\nInput: 12 98\nOutput: 110\n\nInput: 46 90\nOutput: 136\n\nInput: 56 77\nOutput: 133\n\nInput: 14 59\nOutput: 73" } }, "14": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 18 19\nOutput: 37\n\nInput: 11 54\nOutput: 65\n\nInput: 37 66\nOutput: 103\n\nInput: 26 61\nOutput: 87\n\nInput: 16 50\nOutput: 66\n\nThe instruction was", "metadata": { "examples_seen": "Input: 18 19\nOutput: 37\n\nInput: 11 54\nOutput: 65\n\nInput: 37 66\nOutput: 103\n\nInput: 26 61\nOutput: 87\n\nInput: 16 50\nOutput: 66" } }, "15": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 52 68\nOutput: 120\n\nInput: 61 96\nOutput: 157\n\nInput: 14 95\nOutput: 109\n\nInput: 12 96\nOutput: 108\n\nInput: 26 58\nOutput: 84\n\nThe instruction was", "metadata": { "examples_seen": "Input: 52 68\nOutput: 120\n\nInput: 61 96\nOutput: 157\n\nInput: 14 95\nOutput: 109\n\nInput: 12 96\nOutput: 108\n\nInput: 26 58\nOutput: 84" } }, "16": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 63 88\nOutput: 151\n\nInput: 14 94\nOutput: 108\n\nInput: 9 22\nOutput: 31\n\nInput: 69 89\nOutput: 158\n\nInput: 65 66\nOutput: 131\n\nThe instruction was", "metadata": { "examples_seen": "Input: 63 88\nOutput: 151\n\nInput: 14 94\nOutput: 108\n\nInput: 9 22\nOutput: 31\n\nInput: 69 89\nOutput: 158\n\nInput: 65 66\nOutput: 131" } }, "17": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 31 51\nOutput: 82\n\nInput: 25 25\nOutput: 50\n\nInput: 19 93\nOutput: 112\n\nInput: 82 95\nOutput: 177\n\nInput: 26 69\nOutput: 95\n\nThe instruction was", "metadata": { "examples_seen": "Input: 31 51\nOutput: 82\n\nInput: 25 25\nOutput: 50\n\nInput: 19 93\nOutput: 112\n\nInput: 82 95\nOutput: 177\n\nInput: 26 69\nOutput: 95" } }, "18": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 11 68\nOutput: 79\n\nInput: 15 65\nOutput: 80\n\nInput: 10 30\nOutput: 40\n\nInput: 2 59\nOutput: 61\n\nInput: 8 76\nOutput: 84\n\nThe instruction was", "metadata": { "examples_seen": "Input: 11 68\nOutput: 79\n\nInput: 15 65\nOutput: 80\n\nInput: 10 30\nOutput: 40\n\nInput: 2 59\nOutput: 61\n\nInput: 8 76\nOutput: 84" } }, "19": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 38 72\nOutput: 110\n\nInput: 8 50\nOutput: 58\n\nInput: 55 91\nOutput: 146\n\nInput: 18 91\nOutput: 109\n\nInput: 18 45\nOutput: 63\n\nThe instruction was", "metadata": { "examples_seen": "Input: 38 72\nOutput: 110\n\nInput: 8 50\nOutput: 58\n\nInput: 55 91\nOutput: 146\n\nInput: 18 91\nOutput: 109\n\nInput: 18 45\nOutput: 63" } }, "20": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 55 72\nOutput: 127\n\nInput: 32 51\nOutput: 83\n\nInput: 12 25\nOutput: 37\n\nInput: 2 30\nOutput: 32\n\nInput: 40 85\nOutput: 125\n\nThe instruction was", "metadata": { "examples_seen": "Input: 55 72\nOutput: 127\n\nInput: 32 51\nOutput: 83\n\nInput: 12 25\nOutput: 37\n\nInput: 2 30\nOutput: 32\n\nInput: 40 85\nOutput: 125" } }, "21": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 27 30\nOutput: 57\n\nInput: 19 23\nOutput: 42\n\nInput: 65 76\nOutput: 141\n\nInput: 25 68\nOutput: 93\n\nInput: 37 97\nOutput: 134\n\nThe instruction was", "metadata": { "examples_seen": "Input: 27 30\nOutput: 57\n\nInput: 19 23\nOutput: 42\n\nInput: 65 76\nOutput: 141\n\nInput: 25 68\nOutput: 93\n\nInput: 37 97\nOutput: 134" } }, "22": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 32 47\nOutput: 79\n\nInput: 74 90\nOutput: 164\n\nInput: 57 57\nOutput: 114\n\nInput: 23 49\nOutput: 72\n\nInput: 19 80\nOutput: 99\n\nThe instruction was", "metadata": { "examples_seen": "Input: 32 47\nOutput: 79\n\nInput: 74 90\nOutput: 164\n\nInput: 57 57\nOutput: 114\n\nInput: 23 49\nOutput: 72\n\nInput: 19 80\nOutput: 99" } }, "23": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 44 65\nOutput: 109\n\nInput: 46 73\nOutput: 119\n\nInput: 28 41\nOutput: 69\n\nInput: 76 97\nOutput: 173\n\nInput: 15 99\nOutput: 114\n\nThe instruction was", "metadata": { "examples_seen": "Input: 44 65\nOutput: 109\n\nInput: 46 73\nOutput: 119\n\nInput: 28 41\nOutput: 69\n\nInput: 76 97\nOutput: 173\n\nInput: 15 99\nOutput: 114" } }, "24": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 3 59\nOutput: 62\n\nInput: 33 48\nOutput: 81\n\nInput: 16 87\nOutput: 103\n\nInput: 53 81\nOutput: 134\n\nInput: 52 80\nOutput: 132\n\nThe instruction was", "metadata": { "examples_seen": "Input: 3 59\nOutput: 62\n\nInput: 33 48\nOutput: 81\n\nInput: 16 87\nOutput: 103\n\nInput: 53 81\nOutput: 134\n\nInput: 52 80\nOutput: 132" } }, "25": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 0 41\nOutput: 41\n\nInput: 58 72\nOutput: 130\n\nInput: 4 73\nOutput: 77\n\nInput: 39 93\nOutput: 132\n\nInput: 33 95\nOutput: 128\n\nThe instruction was", "metadata": { "examples_seen": "Input: 0 41\nOutput: 41\n\nInput: 58 72\nOutput: 130\n\nInput: 4 73\nOutput: 77\n\nInput: 39 93\nOutput: 132\n\nInput: 33 95\nOutput: 128" } }, "26": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 11 18\nOutput: 29\n\nInput: 20 28\nOutput: 48\n\nInput: 68 73\nOutput: 141\n\nInput: 45 53\nOutput: 98\n\nInput: 10 53\nOutput: 63\n\nThe instruction was", "metadata": { "examples_seen": "Input: 11 18\nOutput: 29\n\nInput: 20 28\nOutput: 48\n\nInput: 68 73\nOutput: 141\n\nInput: 45 53\nOutput: 98\n\nInput: 10 53\nOutput: 63" } }, "27": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 18 18\nOutput: 36\n\nInput: 91 97\nOutput: 188\n\nInput: 41 64\nOutput: 105\n\nInput: 43 77\nOutput: 120\n\nInput: 27 53\nOutput: 80\n\nThe instruction was", "metadata": { "examples_seen": "Input: 18 18\nOutput: 36\n\nInput: 91 97\nOutput: 188\n\nInput: 41 64\nOutput: 105\n\nInput: 43 77\nOutput: 120\n\nInput: 27 53\nOutput: 80" } }, "28": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 35 68\nOutput: 103\n\nInput: 1 67\nOutput: 68\n\nInput: 59 86\nOutput: 145\n\nInput: 55 85\nOutput: 140\n\nInput: 79 87\nOutput: 166\n\nThe instruction was", "metadata": { "examples_seen": "Input: 35 68\nOutput: 103\n\nInput: 1 67\nOutput: 68\n\nInput: 59 86\nOutput: 145\n\nInput: 55 85\nOutput: 140\n\nInput: 79 87\nOutput: 166" } }, "29": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 65 96\nOutput: 161\n\nInput: 20 26\nOutput: 46\n\nInput: 84 95\nOutput: 179\n\nInput: 25 56\nOutput: 81\n\nInput: 56 68\nOutput: 124\n\nThe instruction was", "metadata": { "examples_seen": "Input: 65 96\nOutput: 161\n\nInput: 20 26\nOutput: 46\n\nInput: 84 95\nOutput: 179\n\nInput: 25 56\nOutput: 81\n\nInput: 56 68\nOutput: 124" } }, "30": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 37 77\nOutput: 114\n\nInput: 22 40\nOutput: 62\n\nInput: 22 22\nOutput: 44\n\nInput: 9 65\nOutput: 74\n\nInput: 11 47\nOutput: 58\n\nThe instruction was", "metadata": { "examples_seen": "Input: 37 77\nOutput: 114\n\nInput: 22 40\nOutput: 62\n\nInput: 22 22\nOutput: 44\n\nInput: 9 65\nOutput: 74\n\nInput: 11 47\nOutput: 58" } }, "31": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 60 63\nOutput: 123\n\nInput: 8 46\nOutput: 54\n\nInput: 1 49\nOutput: 50\n\nInput: 40 42\nOutput: 82\n\nInput: 6 80\nOutput: 86\n\nThe instruction was", "metadata": { "examples_seen": "Input: 60 63\nOutput: 123\n\nInput: 8 46\nOutput: 54\n\nInput: 1 49\nOutput: 50\n\nInput: 40 42\nOutput: 82\n\nInput: 6 80\nOutput: 86" } }, "32": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 23 26\nOutput: 49\n\nInput: 2 17\nOutput: 19\n\nInput: 44 94\nOutput: 138\n\nInput: 2 70\nOutput: 72\n\nInput: 40 41\nOutput: 81\n\nThe instruction was", "metadata": { "examples_seen": "Input: 23 26\nOutput: 49\n\nInput: 2 17\nOutput: 19\n\nInput: 44 94\nOutput: 138\n\nInput: 2 70\nOutput: 72\n\nInput: 40 41\nOutput: 81" } }, "33": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 38 75\nOutput: 113\n\nInput: 6 82\nOutput: 88\n\nInput: 30 55\nOutput: 85\n\nInput: 59 74\nOutput: 133\n\nInput: 6 32\nOutput: 38\n\nThe instruction was", "metadata": { "examples_seen": "Input: 38 75\nOutput: 113\n\nInput: 6 82\nOutput: 88\n\nInput: 30 55\nOutput: 85\n\nInput: 59 74\nOutput: 133\n\nInput: 6 32\nOutput: 38" } }, "34": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 57 72\nOutput: 129\n\nInput: 1 38\nOutput: 39\n\nInput: 3 75\nOutput: 78\n\nInput: 42 44\nOutput: 86\n\nInput: 74 82\nOutput: 156\n\nThe instruction was", "metadata": { "examples_seen": "Input: 57 72\nOutput: 129\n\nInput: 1 38\nOutput: 39\n\nInput: 3 75\nOutput: 78\n\nInput: 42 44\nOutput: 86\n\nInput: 74 82\nOutput: 156" } }, "35": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 71 82\nOutput: 153\n\nInput: 2 97\nOutput: 99\n\nInput: 2 6\nOutput: 8\n\nInput: 15 19\nOutput: 34\n\nInput: 47 97\nOutput: 144\n\nThe instruction was", "metadata": { "examples_seen": "Input: 71 82\nOutput: 153\n\nInput: 2 97\nOutput: 99\n\nInput: 2 6\nOutput: 8\n\nInput: 15 19\nOutput: 34\n\nInput: 47 97\nOutput: 144" } }, "36": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 13 79\nOutput: 92\n\nInput: 36 36\nOutput: 72\n\nInput: 3 89\nOutput: 92\n\nInput: 12 50\nOutput: 62\n\nInput: 23 23\nOutput: 46\n\nThe instruction was", "metadata": { "examples_seen": "Input: 13 79\nOutput: 92\n\nInput: 36 36\nOutput: 72\n\nInput: 3 89\nOutput: 92\n\nInput: 12 50\nOutput: 62\n\nInput: 23 23\nOutput: 46" } }, "37": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 33 44\nOutput: 77\n\nInput: 58 91\nOutput: 149\n\nInput: 54 94\nOutput: 148\n\nInput: 38 71\nOutput: 109\n\nInput: 19 96\nOutput: 115\n\nThe instruction was", "metadata": { "examples_seen": "Input: 33 44\nOutput: 77\n\nInput: 58 91\nOutput: 149\n\nInput: 54 94\nOutput: 148\n\nInput: 38 71\nOutput: 109\n\nInput: 19 96\nOutput: 115" } }, "38": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 16 54\nOutput: 70\n\nInput: 88 89\nOutput: 177\n\nInput: 12 29\nOutput: 41\n\nInput: 25 73\nOutput: 98\n\nInput: 9 12\nOutput: 21\n\nThe instruction was", "metadata": { "examples_seen": "Input: 16 54\nOutput: 70\n\nInput: 88 89\nOutput: 177\n\nInput: 12 29\nOutput: 41\n\nInput: 25 73\nOutput: 98\n\nInput: 9 12\nOutput: 21" } }, "39": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 1 13\nOutput: 14\n\nInput: 31 32\nOutput: 63\n\nInput: 52 67\nOutput: 119\n\nInput: 53 57\nOutput: 110\n\nInput: 8 63\nOutput: 71\n\nThe instruction was", "metadata": { "examples_seen": "Input: 1 13\nOutput: 14\n\nInput: 31 32\nOutput: 63\n\nInput: 52 67\nOutput: 119\n\nInput: 53 57\nOutput: 110\n\nInput: 8 63\nOutput: 71" } }, "40": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 35 79\nOutput: 114\n\nInput: 22 97\nOutput: 119\n\nInput: 3 96\nOutput: 99\n\nInput: 13 53\nOutput: 66\n\nInput: 38 70\nOutput: 108\n\nThe instruction was", "metadata": { "examples_seen": "Input: 35 79\nOutput: 114\n\nInput: 22 97\nOutput: 119\n\nInput: 3 96\nOutput: 99\n\nInput: 13 53\nOutput: 66\n\nInput: 38 70\nOutput: 108" } }, "41": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 62 86\nOutput: 148\n\nInput: 17 76\nOutput: 93\n\nInput: 24 45\nOutput: 69\n\nInput: 3 9\nOutput: 12\n\nInput: 27 96\nOutput: 123\n\nThe instruction was", "metadata": { "examples_seen": "Input: 62 86\nOutput: 148\n\nInput: 17 76\nOutput: 93\n\nInput: 24 45\nOutput: 69\n\nInput: 3 9\nOutput: 12\n\nInput: 27 96\nOutput: 123" } }, "42": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 37 81\nOutput: 118\n\nInput: 0 85\nOutput: 85\n\nInput: 34 59\nOutput: 93\n\nInput: 13 36\nOutput: 49\n\nInput: 58 79\nOutput: 137\n\nThe instruction was", "metadata": { "examples_seen": "Input: 37 81\nOutput: 118\n\nInput: 0 85\nOutput: 85\n\nInput: 34 59\nOutput: 93\n\nInput: 13 36\nOutput: 49\n\nInput: 58 79\nOutput: 137" } }, "43": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 12 47\nOutput: 59\n\nInput: 17 44\nOutput: 61\n\nInput: 82 94\nOutput: 176\n\nInput: 48 55\nOutput: 103\n\nInput: 2 65\nOutput: 67\n\nThe instruction was", "metadata": { "examples_seen": "Input: 12 47\nOutput: 59\n\nInput: 17 44\nOutput: 61\n\nInput: 82 94\nOutput: 176\n\nInput: 48 55\nOutput: 103\n\nInput: 2 65\nOutput: 67" } }, "44": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 28 32\nOutput: 60\n\nInput: 36 46\nOutput: 82\n\nInput: 33 89\nOutput: 122\n\nInput: 48 83\nOutput: 131\n\nInput: 36 63\nOutput: 99\n\nThe instruction was", "metadata": { "examples_seen": "Input: 28 32\nOutput: 60\n\nInput: 36 46\nOutput: 82\n\nInput: 33 89\nOutput: 122\n\nInput: 48 83\nOutput: 131\n\nInput: 36 63\nOutput: 99" } }, "45": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 23 74\nOutput: 97\n\nInput: 10 23\nOutput: 33\n\nInput: 5 66\nOutput: 71\n\nInput: 11 64\nOutput: 75\n\nInput: 35 54\nOutput: 89\n\nThe instruction was", "metadata": { "examples_seen": "Input: 23 74\nOutput: 97\n\nInput: 10 23\nOutput: 33\n\nInput: 5 66\nOutput: 71\n\nInput: 11 64\nOutput: 75\n\nInput: 35 54\nOutput: 89" } }, "46": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 60 75\nOutput: 135\n\nInput: 67 85\nOutput: 152\n\nInput: 11 58\nOutput: 69\n\nInput: 26 91\nOutput: 117\n\nInput: 71 80\nOutput: 151\n\nThe instruction was", "metadata": { "examples_seen": "Input: 60 75\nOutput: 135\n\nInput: 67 85\nOutput: 152\n\nInput: 11 58\nOutput: 69\n\nInput: 26 91\nOutput: 117\n\nInput: 71 80\nOutput: 151" } }, "47": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 70 83\nOutput: 153\n\nInput: 1 36\nOutput: 37\n\nInput: 57 89\nOutput: 146\n\nInput: 26 59\nOutput: 85\n\nInput: 72 82\nOutput: 154\n\nThe instruction was", "metadata": { "examples_seen": "Input: 70 83\nOutput: 153\n\nInput: 1 36\nOutput: 37\n\nInput: 57 89\nOutput: 146\n\nInput: 26 59\nOutput: 85\n\nInput: 72 82\nOutput: 154" } }, "48": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 71 93\nOutput: 164\n\nInput: 47 86\nOutput: 133\n\nInput: 61 89\nOutput: 150\n\nInput: 84 96\nOutput: 180\n\nInput: 17 65\nOutput: 82\n\nThe instruction was", "metadata": { "examples_seen": "Input: 71 93\nOutput: 164\n\nInput: 47 86\nOutput: 133\n\nInput: 61 89\nOutput: 150\n\nInput: 84 96\nOutput: 180\n\nInput: 17 65\nOutput: 82" } }, "49": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 59 90\nOutput: 149\n\nInput: 11 61\nOutput: 72\n\nInput: 64 80\nOutput: 144\n\nInput: 14 25\nOutput: 39\n\nInput: 53 56\nOutput: 109\n\nThe instruction was", "metadata": { "examples_seen": "Input: 59 90\nOutput: 149\n\nInput: 11 61\nOutput: 72\n\nInput: 64 80\nOutput: 144\n\nInput: 14 25\nOutput: 39\n\nInput: 53 56\nOutput: 109" } }, "50": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 14 42\nOutput: 56\n\nInput: 11 22\nOutput: 33\n\nInput: 0 72\nOutput: 72\n\nInput: 5 26\nOutput: 31\n\nInput: 40 87\nOutput: 127\n\nThe instruction was", "metadata": { "examples_seen": "Input: 14 42\nOutput: 56\n\nInput: 11 22\nOutput: 33\n\nInput: 0 72\nOutput: 72\n\nInput: 5 26\nOutput: 31\n\nInput: 40 87\nOutput: 127" } }, "51": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 3 19\nOutput: 22\n\nInput: 85 94\nOutput: 179\n\nInput: 42 89\nOutput: 131\n\nInput: 74 93\nOutput: 167\n\nInput: 21 80\nOutput: 101\n\nThe instruction was", "metadata": { "examples_seen": "Input: 3 19\nOutput: 22\n\nInput: 85 94\nOutput: 179\n\nInput: 42 89\nOutput: 131\n\nInput: 74 93\nOutput: 167\n\nInput: 21 80\nOutput: 101" } }, "52": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 27 98\nOutput: 125\n\nInput: 54 75\nOutput: 129\n\nInput: 72 95\nOutput: 167\n\nInput: 34 74\nOutput: 108\n\nInput: 6 91\nOutput: 97\n\nThe instruction was", "metadata": { "examples_seen": "Input: 27 98\nOutput: 125\n\nInput: 54 75\nOutput: 129\n\nInput: 72 95\nOutput: 167\n\nInput: 34 74\nOutput: 108\n\nInput: 6 91\nOutput: 97" } }, "53": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 82 85\nOutput: 167\n\nInput: 4 52\nOutput: 56\n\nInput: 40 88\nOutput: 128\n\nInput: 36 41\nOutput: 77\n\nInput: 9 37\nOutput: 46\n\nThe instruction was", "metadata": { "examples_seen": "Input: 82 85\nOutput: 167\n\nInput: 4 52\nOutput: 56\n\nInput: 40 88\nOutput: 128\n\nInput: 36 41\nOutput: 77\n\nInput: 9 37\nOutput: 46" } }, "54": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 86 93\nOutput: 179\n\nInput: 44 44\nOutput: 88\n\nInput: 8 17\nOutput: 25\n\nInput: 40 90\nOutput: 130\n\nInput: 44 69\nOutput: 113\n\nThe instruction was", "metadata": { "examples_seen": "Input: 86 93\nOutput: 179\n\nInput: 44 44\nOutput: 88\n\nInput: 8 17\nOutput: 25\n\nInput: 40 90\nOutput: 130\n\nInput: 44 69\nOutput: 113" } }, "55": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 39 84\nOutput: 123\n\nInput: 31 63\nOutput: 94\n\nInput: 55 72\nOutput: 127\n\nInput: 11 90\nOutput: 101\n\nInput: 24 92\nOutput: 116\n\nThe instruction was", "metadata": { "examples_seen": "Input: 39 84\nOutput: 123\n\nInput: 31 63\nOutput: 94\n\nInput: 55 72\nOutput: 127\n\nInput: 11 90\nOutput: 101\n\nInput: 24 92\nOutput: 116" } }, "56": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 13 61\nOutput: 74\n\nInput: 32 92\nOutput: 124\n\nInput: 0 48\nOutput: 48\n\nInput: 65 98\nOutput: 163\n\nInput: 85 90\nOutput: 175\n\nThe instruction was", "metadata": { "examples_seen": "Input: 13 61\nOutput: 74\n\nInput: 32 92\nOutput: 124\n\nInput: 0 48\nOutput: 48\n\nInput: 65 98\nOutput: 163\n\nInput: 85 90\nOutput: 175" } }, "57": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 7 87\nOutput: 94\n\nInput: 65 79\nOutput: 144\n\nInput: 53 85\nOutput: 138\n\nInput: 54 88\nOutput: 142\n\nInput: 6 46\nOutput: 52\n\nThe instruction was", "metadata": { "examples_seen": "Input: 7 87\nOutput: 94\n\nInput: 65 79\nOutput: 144\n\nInput: 53 85\nOutput: 138\n\nInput: 54 88\nOutput: 142\n\nInput: 6 46\nOutput: 52" } }, "58": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 74 90\nOutput: 164\n\nInput: 16 18\nOutput: 34\n\nInput: 5 21\nOutput: 26\n\nInput: 12 24\nOutput: 36\n\nInput: 9 10\nOutput: 19\n\nThe instruction was", "metadata": { "examples_seen": "Input: 74 90\nOutput: 164\n\nInput: 16 18\nOutput: 34\n\nInput: 5 21\nOutput: 26\n\nInput: 12 24\nOutput: 36\n\nInput: 9 10\nOutput: 19" } }, "59": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 20 91\nOutput: 111\n\nInput: 25 97\nOutput: 122\n\nInput: 19 55\nOutput: 74\n\nInput: 11 13\nOutput: 24\n\nInput: 67 98\nOutput: 165\n\nThe instruction was", "metadata": { "examples_seen": "Input: 20 91\nOutput: 111\n\nInput: 25 97\nOutput: 122\n\nInput: 19 55\nOutput: 74\n\nInput: 11 13\nOutput: 24\n\nInput: 67 98\nOutput: 165" } }, "60": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 7 82\nOutput: 89\n\nInput: 31 96\nOutput: 127\n\nInput: 15 23\nOutput: 38\n\nInput: 40 41\nOutput: 81\n\nInput: 10 46\nOutput: 56\n\nThe instruction was", "metadata": { "examples_seen": "Input: 7 82\nOutput: 89\n\nInput: 31 96\nOutput: 127\n\nInput: 15 23\nOutput: 38\n\nInput: 40 41\nOutput: 81\n\nInput: 10 46\nOutput: 56" } }, "61": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 80 80\nOutput: 160\n\nInput: 84 90\nOutput: 174\n\nInput: 25 37\nOutput: 62\n\nInput: 28 96\nOutput: 124\n\nInput: 61 77\nOutput: 138\n\nThe instruction was", "metadata": { "examples_seen": "Input: 80 80\nOutput: 160\n\nInput: 84 90\nOutput: 174\n\nInput: 25 37\nOutput: 62\n\nInput: 28 96\nOutput: 124\n\nInput: 61 77\nOutput: 138" } }, "62": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 12 48\nOutput: 60\n\nInput: 6 74\nOutput: 80\n\nInput: 64 99\nOutput: 163\n\nInput: 7 41\nOutput: 48\n\nInput: 20 47\nOutput: 67\n\nThe instruction was", "metadata": { "examples_seen": "Input: 12 48\nOutput: 60\n\nInput: 6 74\nOutput: 80\n\nInput: 64 99\nOutput: 163\n\nInput: 7 41\nOutput: 48\n\nInput: 20 47\nOutput: 67" } }, "63": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 31 59\nOutput: 90\n\nInput: 17 56\nOutput: 73\n\nInput: 9 40\nOutput: 49\n\nInput: 46 84\nOutput: 130\n\nInput: 2 11\nOutput: 13\n\nThe instruction was", "metadata": { "examples_seen": "Input: 31 59\nOutput: 90\n\nInput: 17 56\nOutput: 73\n\nInput: 9 40\nOutput: 49\n\nInput: 46 84\nOutput: 130\n\nInput: 2 11\nOutput: 13" } }, "64": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 37 37\nOutput: 74\n\nInput: 16 67\nOutput: 83\n\nInput: 32 57\nOutput: 89\n\nInput: 32 82\nOutput: 114\n\nInput: 30 95\nOutput: 125\n\nThe instruction was", "metadata": { "examples_seen": "Input: 37 37\nOutput: 74\n\nInput: 16 67\nOutput: 83\n\nInput: 32 57\nOutput: 89\n\nInput: 32 82\nOutput: 114\n\nInput: 30 95\nOutput: 125" } }, "65": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 34 56\nOutput: 90\n\nInput: 79 87\nOutput: 166\n\nInput: 59 63\nOutput: 122\n\nInput: 25 80\nOutput: 105\n\nInput: 11 58\nOutput: 69\n\nThe instruction was", "metadata": { "examples_seen": "Input: 34 56\nOutput: 90\n\nInput: 79 87\nOutput: 166\n\nInput: 59 63\nOutput: 122\n\nInput: 25 80\nOutput: 105\n\nInput: 11 58\nOutput: 69" } }, "66": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 83 94\nOutput: 177\n\nInput: 6 7\nOutput: 13\n\nInput: 12 47\nOutput: 59\n\nInput: 75 97\nOutput: 172\n\nInput: 11 21\nOutput: 32\n\nThe instruction was", "metadata": { "examples_seen": "Input: 83 94\nOutput: 177\n\nInput: 6 7\nOutput: 13\n\nInput: 12 47\nOutput: 59\n\nInput: 75 97\nOutput: 172\n\nInput: 11 21\nOutput: 32" } }, "67": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 9 20\nOutput: 29\n\nInput: 47 98\nOutput: 145\n\nInput: 24 43\nOutput: 67\n\nInput: 21 29\nOutput: 50\n\nInput: 11 44\nOutput: 55\n\nThe instruction was", "metadata": { "examples_seen": "Input: 9 20\nOutput: 29\n\nInput: 47 98\nOutput: 145\n\nInput: 24 43\nOutput: 67\n\nInput: 21 29\nOutput: 50\n\nInput: 11 44\nOutput: 55" } }, "68": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 24 43\nOutput: 67\n\nInput: 27 54\nOutput: 81\n\nInput: 8 98\nOutput: 106\n\nInput: 40 98\nOutput: 138\n\nInput: 80 94\nOutput: 174\n\nThe instruction was", "metadata": { "examples_seen": "Input: 24 43\nOutput: 67\n\nInput: 27 54\nOutput: 81\n\nInput: 8 98\nOutput: 106\n\nInput: 40 98\nOutput: 138\n\nInput: 80 94\nOutput: 174" } }, "69": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 29 60\nOutput: 89\n\nInput: 21 63\nOutput: 84\n\nInput: 3 96\nOutput: 99\n\nInput: 19 21\nOutput: 40\n\nInput: 41 41\nOutput: 82\n\nThe instruction was", "metadata": { "examples_seen": "Input: 29 60\nOutput: 89\n\nInput: 21 63\nOutput: 84\n\nInput: 3 96\nOutput: 99\n\nInput: 19 21\nOutput: 40\n\nInput: 41 41\nOutput: 82" } }, "70": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 13 77\nOutput: 90\n\nInput: 69 76\nOutput: 145\n\nInput: 60 73\nOutput: 133\n\nInput: 52 68\nOutput: 120\n\nInput: 9 83\nOutput: 92\n\nThe instruction was", "metadata": { "examples_seen": "Input: 13 77\nOutput: 90\n\nInput: 69 76\nOutput: 145\n\nInput: 60 73\nOutput: 133\n\nInput: 52 68\nOutput: 120\n\nInput: 9 83\nOutput: 92" } }, "71": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 80 94\nOutput: 174\n\nInput: 45 92\nOutput: 137\n\nInput: 7 47\nOutput: 54\n\nInput: 1 53\nOutput: 54\n\nInput: 77 79\nOutput: 156\n\nThe instruction was", "metadata": { "examples_seen": "Input: 80 94\nOutput: 174\n\nInput: 45 92\nOutput: 137\n\nInput: 7 47\nOutput: 54\n\nInput: 1 53\nOutput: 54\n\nInput: 77 79\nOutput: 156" } }, "72": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 12 18\nOutput: 30\n\nInput: 65 66\nOutput: 131\n\nInput: 39 69\nOutput: 108\n\nInput: 89 90\nOutput: 179\n\nInput: 28 34\nOutput: 62\n\nThe instruction was", "metadata": { "examples_seen": "Input: 12 18\nOutput: 30\n\nInput: 65 66\nOutput: 131\n\nInput: 39 69\nOutput: 108\n\nInput: 89 90\nOutput: 179\n\nInput: 28 34\nOutput: 62" } }, "73": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 23 23\nOutput: 46\n\nInput: 65 82\nOutput: 147\n\nInput: 79 94\nOutput: 173\n\nInput: 31 90\nOutput: 121\n\nInput: 37 49\nOutput: 86\n\nThe instruction was", "metadata": { "examples_seen": "Input: 23 23\nOutput: 46\n\nInput: 65 82\nOutput: 147\n\nInput: 79 94\nOutput: 173\n\nInput: 31 90\nOutput: 121\n\nInput: 37 49\nOutput: 86" } }, "74": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 46 83\nOutput: 129\n\nInput: 45 97\nOutput: 142\n\nInput: 0 45\nOutput: 45\n\nInput: 67 82\nOutput: 149\n\nInput: 48 54\nOutput: 102\n\nThe instruction was", "metadata": { "examples_seen": "Input: 46 83\nOutput: 129\n\nInput: 45 97\nOutput: 142\n\nInput: 0 45\nOutput: 45\n\nInput: 67 82\nOutput: 149\n\nInput: 48 54\nOutput: 102" } }, "75": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 12 41\nOutput: 53\n\nInput: 0 46\nOutput: 46\n\nInput: 20 24\nOutput: 44\n\nInput: 39 45\nOutput: 84\n\nInput: 40 78\nOutput: 118\n\nThe instruction was", "metadata": { "examples_seen": "Input: 12 41\nOutput: 53\n\nInput: 0 46\nOutput: 46\n\nInput: 20 24\nOutput: 44\n\nInput: 39 45\nOutput: 84\n\nInput: 40 78\nOutput: 118" } }, "76": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 1 64\nOutput: 65\n\nInput: 40 50\nOutput: 90\n\nInput: 69 81\nOutput: 150\n\nInput: 34 53\nOutput: 87\n\nInput: 69 79\nOutput: 148\n\nThe instruction was", "metadata": { "examples_seen": "Input: 1 64\nOutput: 65\n\nInput: 40 50\nOutput: 90\n\nInput: 69 81\nOutput: 150\n\nInput: 34 53\nOutput: 87\n\nInput: 69 79\nOutput: 148" } }, "77": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 18 24\nOutput: 42\n\nInput: 13 83\nOutput: 96\n\nInput: 39 84\nOutput: 123\n\nInput: 1 63\nOutput: 64\n\nInput: 44 53\nOutput: 97\n\nThe instruction was", "metadata": { "examples_seen": "Input: 18 24\nOutput: 42\n\nInput: 13 83\nOutput: 96\n\nInput: 39 84\nOutput: 123\n\nInput: 1 63\nOutput: 64\n\nInput: 44 53\nOutput: 97" } }, "78": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 17 33\nOutput: 50\n\nInput: 18 71\nOutput: 89\n\nInput: 77 78\nOutput: 155\n\nInput: 43 48\nOutput: 91\n\nInput: 64 88\nOutput: 152\n\nThe instruction was", "metadata": { "examples_seen": "Input: 17 33\nOutput: 50\n\nInput: 18 71\nOutput: 89\n\nInput: 77 78\nOutput: 155\n\nInput: 43 48\nOutput: 91\n\nInput: 64 88\nOutput: 152" } }, "79": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 11 11\nOutput: 22\n\nInput: 67 69\nOutput: 136\n\nInput: 12 17\nOutput: 29\n\nInput: 50 89\nOutput: 139\n\nInput: 23 77\nOutput: 100\n\nThe instruction was", "metadata": { "examples_seen": "Input: 11 11\nOutput: 22\n\nInput: 67 69\nOutput: 136\n\nInput: 12 17\nOutput: 29\n\nInput: 50 89\nOutput: 139\n\nInput: 23 77\nOutput: 100" } }, "80": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 45 76\nOutput: 121\n\nInput: 36 66\nOutput: 102\n\nInput: 9 85\nOutput: 94\n\nInput: 0 26\nOutput: 26\n\nInput: 23 69\nOutput: 92\n\nThe instruction was", "metadata": { "examples_seen": "Input: 45 76\nOutput: 121\n\nInput: 36 66\nOutput: 102\n\nInput: 9 85\nOutput: 94\n\nInput: 0 26\nOutput: 26\n\nInput: 23 69\nOutput: 92" } }, "81": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 36 58\nOutput: 94\n\nInput: 6 6\nOutput: 12\n\nInput: 36 45\nOutput: 81\n\nInput: 85 85\nOutput: 170\n\nInput: 46 69\nOutput: 115\n\nThe instruction was", "metadata": { "examples_seen": "Input: 36 58\nOutput: 94\n\nInput: 6 6\nOutput: 12\n\nInput: 36 45\nOutput: 81\n\nInput: 85 85\nOutput: 170\n\nInput: 46 69\nOutput: 115" } }, "82": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 69 95\nOutput: 164\n\nInput: 30 36\nOutput: 66\n\nInput: 4 43\nOutput: 47\n\nInput: 6 70\nOutput: 76\n\nInput: 50 70\nOutput: 120\n\nThe instruction was", "metadata": { "examples_seen": "Input: 69 95\nOutput: 164\n\nInput: 30 36\nOutput: 66\n\nInput: 4 43\nOutput: 47\n\nInput: 6 70\nOutput: 76\n\nInput: 50 70\nOutput: 120" } }, "83": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 11 97\nOutput: 108\n\nInput: 52 96\nOutput: 148\n\nInput: 16 58\nOutput: 74\n\nInput: 5 32\nOutput: 37\n\nInput: 67 93\nOutput: 160\n\nThe instruction was", "metadata": { "examples_seen": "Input: 11 97\nOutput: 108\n\nInput: 52 96\nOutput: 148\n\nInput: 16 58\nOutput: 74\n\nInput: 5 32\nOutput: 37\n\nInput: 67 93\nOutput: 160" } }, "84": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 32 77\nOutput: 109\n\nInput: 20 28\nOutput: 48\n\nInput: 43 64\nOutput: 107\n\nInput: 21 67\nOutput: 88\n\nInput: 30 31\nOutput: 61\n\nThe instruction was", "metadata": { "examples_seen": "Input: 32 77\nOutput: 109\n\nInput: 20 28\nOutput: 48\n\nInput: 43 64\nOutput: 107\n\nInput: 21 67\nOutput: 88\n\nInput: 30 31\nOutput: 61" } }, "85": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 17 34\nOutput: 51\n\nInput: 60 96\nOutput: 156\n\nInput: 54 57\nOutput: 111\n\nInput: 66 92\nOutput: 158\n\nInput: 59 96\nOutput: 155\n\nThe instruction was", "metadata": { "examples_seen": "Input: 17 34\nOutput: 51\n\nInput: 60 96\nOutput: 156\n\nInput: 54 57\nOutput: 111\n\nInput: 66 92\nOutput: 158\n\nInput: 59 96\nOutput: 155" } }, "86": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 22 54\nOutput: 76\n\nInput: 28 52\nOutput: 80\n\nInput: 49 51\nOutput: 100\n\nInput: 62 95\nOutput: 157\n\nInput: 19 20\nOutput: 39\n\nThe instruction was", "metadata": { "examples_seen": "Input: 22 54\nOutput: 76\n\nInput: 28 52\nOutput: 80\n\nInput: 49 51\nOutput: 100\n\nInput: 62 95\nOutput: 157\n\nInput: 19 20\nOutput: 39" } }, "87": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 2 77\nOutput: 79\n\nInput: 32 57\nOutput: 89\n\nInput: 15 21\nOutput: 36\n\nInput: 1 41\nOutput: 42\n\nInput: 45 58\nOutput: 103\n\nThe instruction was", "metadata": { "examples_seen": "Input: 2 77\nOutput: 79\n\nInput: 32 57\nOutput: 89\n\nInput: 15 21\nOutput: 36\n\nInput: 1 41\nOutput: 42\n\nInput: 45 58\nOutput: 103" } }, "88": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 50 93\nOutput: 143\n\nInput: 11 19\nOutput: 30\n\nInput: 45 62\nOutput: 107\n\nInput: 28 38\nOutput: 66\n\nInput: 16 19\nOutput: 35\n\nThe instruction was", "metadata": { "examples_seen": "Input: 50 93\nOutput: 143\n\nInput: 11 19\nOutput: 30\n\nInput: 45 62\nOutput: 107\n\nInput: 28 38\nOutput: 66\n\nInput: 16 19\nOutput: 35" } }, "89": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 26 35\nOutput: 61\n\nInput: 68 86\nOutput: 154\n\nInput: 7 17\nOutput: 24\n\nInput: 57 75\nOutput: 132\n\nInput: 45 79\nOutput: 124\n\nThe instruction was", "metadata": { "examples_seen": "Input: 26 35\nOutput: 61\n\nInput: 68 86\nOutput: 154\n\nInput: 7 17\nOutput: 24\n\nInput: 57 75\nOutput: 132\n\nInput: 45 79\nOutput: 124" } }, "90": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 22 76\nOutput: 98\n\nInput: 81 89\nOutput: 170\n\nInput: 46 72\nOutput: 118\n\nInput: 8 70\nOutput: 78\n\nInput: 42 79\nOutput: 121\n\nThe instruction was", "metadata": { "examples_seen": "Input: 22 76\nOutput: 98\n\nInput: 81 89\nOutput: 170\n\nInput: 46 72\nOutput: 118\n\nInput: 8 70\nOutput: 78\n\nInput: 42 79\nOutput: 121" } }, "91": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 49 68\nOutput: 117\n\nInput: 69 97\nOutput: 166\n\nInput: 5 40\nOutput: 45\n\nInput: 9 97\nOutput: 106\n\nInput: 4 48\nOutput: 52\n\nThe instruction was", "metadata": { "examples_seen": "Input: 49 68\nOutput: 117\n\nInput: 69 97\nOutput: 166\n\nInput: 5 40\nOutput: 45\n\nInput: 9 97\nOutput: 106\n\nInput: 4 48\nOutput: 52" } }, "92": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 88 94\nOutput: 182\n\nInput: 64 65\nOutput: 129\n\nInput: 18 66\nOutput: 84\n\nInput: 4 63\nOutput: 67\n\nInput: 39 88\nOutput: 127\n\nThe instruction was", "metadata": { "examples_seen": "Input: 88 94\nOutput: 182\n\nInput: 64 65\nOutput: 129\n\nInput: 18 66\nOutput: 84\n\nInput: 4 63\nOutput: 67\n\nInput: 39 88\nOutput: 127" } }, "93": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 24 53\nOutput: 77\n\nInput: 0 66\nOutput: 66\n\nInput: 10 67\nOutput: 77\n\nInput: 72 78\nOutput: 150\n\nInput: 22 36\nOutput: 58\n\nThe instruction was", "metadata": { "examples_seen": "Input: 24 53\nOutput: 77\n\nInput: 0 66\nOutput: 66\n\nInput: 10 67\nOutput: 77\n\nInput: 72 78\nOutput: 150\n\nInput: 22 36\nOutput: 58" } }, "94": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 32 36\nOutput: 68\n\nInput: 4 42\nOutput: 46\n\nInput: 36 43\nOutput: 79\n\nInput: 66 97\nOutput: 163\n\nInput: 7 45\nOutput: 52\n\nThe instruction was", "metadata": { "examples_seen": "Input: 32 36\nOutput: 68\n\nInput: 4 42\nOutput: 46\n\nInput: 36 43\nOutput: 79\n\nInput: 66 97\nOutput: 163\n\nInput: 7 45\nOutput: 52" } }, "95": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 21 65\nOutput: 86\n\nInput: 55 60\nOutput: 115\n\nInput: 41 46\nOutput: 87\n\nInput: 61 80\nOutput: 141\n\nInput: 5 47\nOutput: 52\n\nThe instruction was", "metadata": { "examples_seen": "Input: 21 65\nOutput: 86\n\nInput: 55 60\nOutput: 115\n\nInput: 41 46\nOutput: 87\n\nInput: 61 80\nOutput: 141\n\nInput: 5 47\nOutput: 52" } }, "96": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 19 27\nOutput: 46\n\nInput: 4 65\nOutput: 69\n\nInput: 20 34\nOutput: 54\n\nInput: 14 88\nOutput: 102\n\nInput: 32 43\nOutput: 75\n\nThe instruction was", "metadata": { "examples_seen": "Input: 19 27\nOutput: 46\n\nInput: 4 65\nOutput: 69\n\nInput: 20 34\nOutput: 54\n\nInput: 14 88\nOutput: 102\n\nInput: 32 43\nOutput: 75" } }, "97": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 95 98\nOutput: 193\n\nInput: 9 78\nOutput: 87\n\nInput: 34 85\nOutput: 119\n\nInput: 39 69\nOutput: 108\n\nInput: 62 89\nOutput: 151\n\nThe instruction was", "metadata": { "examples_seen": "Input: 95 98\nOutput: 193\n\nInput: 9 78\nOutput: 87\n\nInput: 34 85\nOutput: 119\n\nInput: 39 69\nOutput: 108\n\nInput: 62 89\nOutput: 151" } }, "98": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 40 55\nOutput: 95\n\nInput: 47 56\nOutput: 103\n\nInput: 23 38\nOutput: 61\n\nInput: 31 59\nOutput: 90\n\nInput: 60 74\nOutput: 134\n\nThe instruction was", "metadata": { "examples_seen": "Input: 40 55\nOutput: 95\n\nInput: 47 56\nOutput: 103\n\nInput: 23 38\nOutput: 61\n\nInput: 31 59\nOutput: 90\n\nInput: 60 74\nOutput: 134" } }, "99": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 15 58\nOutput: 73\n\nInput: 48 79\nOutput: 127\n\nInput: 34 84\nOutput: 118\n\nInput: 23 98\nOutput: 121\n\nInput: 44 79\nOutput: 123\n\nThe instruction was", "metadata": { "examples_seen": "Input: 15 58\nOutput: 73\n\nInput: 48 79\nOutput: 127\n\nInput: 34 84\nOutput: 118\n\nInput: 23 98\nOutput: 121\n\nInput: 44 79\nOutput: 123" } }, "100": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: 71 79\nOutput: 150\n\nInput: 69 86\nOutput: 155\n\nInput: 38 40\nOutput: 78\n\nInput: 10 58\nOutput: 68\n\nInput: 58 93\nOutput: 151\n\nThe instruction was", "metadata": { "examples_seen": "Input: 71 79\nOutput: 150\n\nInput: 69 86\nOutput: 155\n\nInput: 38 40\nOutput: 78\n\nInput: 10 58\nOutput: 68\n\nInput: 58 93\nOutput: 151" } } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/induction_input/synonyms.json ================================================ { "examples": { "1": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: underground\nOutput: resistance\n\nInput: suffer\nOutput: have\n\nInput: proficiency\nOutput: technique\n\nInput: homosexual\nOutput: gay\n\nInput: combustion\nOutput: burning\n\nThe instruction was", "metadata": { "examples_seen": "Input: underground\nOutput: resistance\n\nInput: suffer\nOutput: have\n\nInput: proficiency\nOutput: technique\n\nInput: homosexual\nOutput: gay\n\nInput: combustion\nOutput: burning" } }, "2": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sketch\nOutput: study\n\nInput: revue\nOutput: review\n\nInput: wrinkle\nOutput: line\n\nInput: domain\nOutput: land\n\nInput: occur\nOutput: come\n\nThe instruction was", "metadata": { "examples_seen": "Input: sketch\nOutput: study\n\nInput: revue\nOutput: review\n\nInput: wrinkle\nOutput: line\n\nInput: domain\nOutput: land\n\nInput: occur\nOutput: come" } }, "3": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: separation\nOutput: detachment\n\nInput: hardly\nOutput: scarcely\n\nInput: listening\nOutput: hearing\n\nInput: compulsory\nOutput: required\n\nInput: entrance\nOutput: entranceway\n\nThe instruction was", "metadata": { "examples_seen": "Input: separation\nOutput: detachment\n\nInput: hardly\nOutput: scarcely\n\nInput: listening\nOutput: hearing\n\nInput: compulsory\nOutput: required\n\nInput: entrance\nOutput: entranceway" } }, "4": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: excessively\nOutput: too\n\nInput: leadership\nOutput: leading\n\nInput: art\nOutput: prowess\n\nInput: commend\nOutput: remember\n\nInput: accomplished\nOutput: complete\n\nThe instruction was", "metadata": { "examples_seen": "Input: excessively\nOutput: too\n\nInput: leadership\nOutput: leading\n\nInput: art\nOutput: prowess\n\nInput: commend\nOutput: remember\n\nInput: accomplished\nOutput: complete" } }, "5": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: imprison\nOutput: jail\n\nInput: native\nOutput: aboriginal\n\nInput: decrease\nOutput: fall\n\nInput: joint\nOutput: stick\n\nInput: quietly\nOutput: quiet\n\nThe instruction was", "metadata": { "examples_seen": "Input: imprison\nOutput: jail\n\nInput: native\nOutput: aboriginal\n\nInput: decrease\nOutput: fall\n\nInput: joint\nOutput: stick\n\nInput: quietly\nOutput: quiet" } }, "6": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: precedence\nOutput: priority\n\nInput: accomplishment\nOutput: achievement\n\nInput: caller\nOutput: company\n\nInput: date\nOutput: appointment\n\nInput: service\nOutput: serve\n\nThe instruction was", "metadata": { "examples_seen": "Input: precedence\nOutput: priority\n\nInput: accomplishment\nOutput: achievement\n\nInput: caller\nOutput: company\n\nInput: date\nOutput: appointment\n\nInput: service\nOutput: serve" } }, "7": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: turn\nOutput: play\n\nInput: floor\nOutput: level\n\nInput: embrace\nOutput: cover\n\nInput: convey\nOutput: communicate\n\nInput: wash\nOutput: washing\n\nThe instruction was", "metadata": { "examples_seen": "Input: turn\nOutput: play\n\nInput: floor\nOutput: level\n\nInput: embrace\nOutput: cover\n\nInput: convey\nOutput: communicate\n\nInput: wash\nOutput: washing" } }, "8": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: respective\nOutput: several\n\nInput: pulp\nOutput: flesh\n\nInput: char\nOutput: coal\n\nInput: inside\nOutput: within\n\nInput: economical\nOutput: scotch\n\nThe instruction was", "metadata": { "examples_seen": "Input: respective\nOutput: several\n\nInput: pulp\nOutput: flesh\n\nInput: char\nOutput: coal\n\nInput: inside\nOutput: within\n\nInput: economical\nOutput: scotch" } }, "9": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: discrete\nOutput: distinct\n\nInput: court\nOutput: tribunal\n\nInput: trade\nOutput: switch\n\nInput: tail\nOutput: shadow\n\nInput: individually\nOutput: severally\n\nThe instruction was", "metadata": { "examples_seen": "Input: discrete\nOutput: distinct\n\nInput: court\nOutput: tribunal\n\nInput: trade\nOutput: switch\n\nInput: tail\nOutput: shadow\n\nInput: individually\nOutput: severally" } }, "10": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: busy\nOutput: engaged\n\nInput: gamble\nOutput: risk\n\nInput: infection\nOutput: transmission\n\nInput: chair\nOutput: chairman\n\nInput: accomplished\nOutput: complete\n\nThe instruction was", "metadata": { "examples_seen": "Input: busy\nOutput: engaged\n\nInput: gamble\nOutput: risk\n\nInput: infection\nOutput: transmission\n\nInput: chair\nOutput: chairman\n\nInput: accomplished\nOutput: complete" } }, "11": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: peasant\nOutput: provincial\n\nInput: satellite\nOutput: planet\n\nInput: pink\nOutput: knock\n\nInput: congressman\nOutput: representative\n\nInput: concession\nOutput: grant\n\nThe instruction was", "metadata": { "examples_seen": "Input: peasant\nOutput: provincial\n\nInput: satellite\nOutput: planet\n\nInput: pink\nOutput: knock\n\nInput: congressman\nOutput: representative\n\nInput: concession\nOutput: grant" } }, "12": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: commend\nOutput: remember\n\nInput: compression\nOutput: contraction\n\nInput: improvement\nOutput: advance\n\nInput: privation\nOutput: want\n\nInput: alone\nOutput: only\n\nThe instruction was", "metadata": { "examples_seen": "Input: commend\nOutput: remember\n\nInput: compression\nOutput: contraction\n\nInput: improvement\nOutput: advance\n\nInput: privation\nOutput: want\n\nInput: alone\nOutput: only" } }, "13": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: fond\nOutput: partial\n\nInput: active\nOutput: fighting\n\nInput: protection\nOutput: shelter\n\nInput: founder\nOutput: father\n\nInput: burning\nOutput: combustion\n\nThe instruction was", "metadata": { "examples_seen": "Input: fond\nOutput: partial\n\nInput: active\nOutput: fighting\n\nInput: protection\nOutput: shelter\n\nInput: founder\nOutput: father\n\nInput: burning\nOutput: combustion" } }, "14": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: telescope\nOutput: scope\n\nInput: opportunity\nOutput: chance\n\nInput: feature\nOutput: characteristic\n\nInput: ghost\nOutput: shade\n\nInput: illness\nOutput: sickness\n\nThe instruction was", "metadata": { "examples_seen": "Input: telescope\nOutput: scope\n\nInput: opportunity\nOutput: chance\n\nInput: feature\nOutput: characteristic\n\nInput: ghost\nOutput: shade\n\nInput: illness\nOutput: sickness" } }, "15": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: opportunity\nOutput: chance\n\nInput: submit\nOutput: state\n\nInput: boring\nOutput: slow\n\nInput: summation\nOutput: addition\n\nInput: confluence\nOutput: meeting\n\nThe instruction was", "metadata": { "examples_seen": "Input: opportunity\nOutput: chance\n\nInput: submit\nOutput: state\n\nInput: boring\nOutput: slow\n\nInput: summation\nOutput: addition\n\nInput: confluence\nOutput: meeting" } }, "16": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: expect\nOutput: look\n\nInput: joint\nOutput: stick\n\nInput: carbohydrate\nOutput: sugar\n\nInput: fourteen\nOutput: 14\n\nInput: undertake\nOutput: attempt\n\nThe instruction was", "metadata": { "examples_seen": "Input: expect\nOutput: look\n\nInput: joint\nOutput: stick\n\nInput: carbohydrate\nOutput: sugar\n\nInput: fourteen\nOutput: 14\n\nInput: undertake\nOutput: attempt" } }, "17": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: wit\nOutput: humor\n\nInput: leave\nOutput: result\n\nInput: team\nOutput: squad\n\nInput: accustomed\nOutput: customary\n\nInput: rejoinder\nOutput: return\n\nThe instruction was", "metadata": { "examples_seen": "Input: wit\nOutput: humor\n\nInput: leave\nOutput: result\n\nInput: team\nOutput: squad\n\nInput: accustomed\nOutput: customary\n\nInput: rejoinder\nOutput: return" } }, "18": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: plane\nOutput: sheet\n\nInput: frightened\nOutput: scared\n\nInput: good\nOutput: well\n\nInput: liquid\nOutput: swimming\n\nInput: coldness\nOutput: cold\n\nThe instruction was", "metadata": { "examples_seen": "Input: plane\nOutput: sheet\n\nInput: frightened\nOutput: scared\n\nInput: good\nOutput: well\n\nInput: liquid\nOutput: swimming\n\nInput: coldness\nOutput: cold" } }, "19": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: spread\nOutput: spreading\n\nInput: arduous\nOutput: hard\n\nInput: nowadays\nOutput: now\n\nInput: basically\nOutput: essentially\n\nInput: brave\nOutput: gay\n\nThe instruction was", "metadata": { "examples_seen": "Input: spread\nOutput: spreading\n\nInput: arduous\nOutput: hard\n\nInput: nowadays\nOutput: now\n\nInput: basically\nOutput: essentially\n\nInput: brave\nOutput: gay" } }, "20": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: image\nOutput: range\n\nInput: motion\nOutput: question\n\nInput: snatch\nOutput: bit\n\nInput: conversion\nOutput: transition\n\nInput: refuse\nOutput: decline\n\nThe instruction was", "metadata": { "examples_seen": "Input: image\nOutput: range\n\nInput: motion\nOutput: question\n\nInput: snatch\nOutput: bit\n\nInput: conversion\nOutput: transition\n\nInput: refuse\nOutput: decline" } }, "21": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: legal\nOutput: sound\n\nInput: sympathize\nOutput: understand\n\nInput: zone\nOutput: district\n\nInput: excitement\nOutput: inflammation\n\nInput: deciding\nOutput: determining\n\nThe instruction was", "metadata": { "examples_seen": "Input: legal\nOutput: sound\n\nInput: sympathize\nOutput: understand\n\nInput: zone\nOutput: district\n\nInput: excitement\nOutput: inflammation\n\nInput: deciding\nOutput: determining" } }, "22": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: upgrade\nOutput: rise\n\nInput: contact\nOutput: touch\n\nInput: impregnable\nOutput: strong\n\nInput: disposal\nOutput: disposition\n\nInput: similarly\nOutput: likewise\n\nThe instruction was", "metadata": { "examples_seen": "Input: upgrade\nOutput: rise\n\nInput: contact\nOutput: touch\n\nInput: impregnable\nOutput: strong\n\nInput: disposal\nOutput: disposition\n\nInput: similarly\nOutput: likewise" } }, "23": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: communicate\nOutput: pass\n\nInput: designed\nOutput: intentional\n\nInput: sphere\nOutput: area\n\nInput: examination\nOutput: test\n\nInput: glow\nOutput: beam\n\nThe instruction was", "metadata": { "examples_seen": "Input: communicate\nOutput: pass\n\nInput: designed\nOutput: intentional\n\nInput: sphere\nOutput: area\n\nInput: examination\nOutput: test\n\nInput: glow\nOutput: beam" } }, "24": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: presence\nOutput: front\n\nInput: badly\nOutput: bad\n\nInput: hot\nOutput: live\n\nInput: facility\nOutput: installation\n\nInput: seven\nOutput: 7\n\nThe instruction was", "metadata": { "examples_seen": "Input: presence\nOutput: front\n\nInput: badly\nOutput: bad\n\nInput: hot\nOutput: live\n\nInput: facility\nOutput: installation\n\nInput: seven\nOutput: 7" } }, "25": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: appointment\nOutput: assignment\n\nInput: alone\nOutput: only\n\nInput: stairs\nOutput: steps\n\nInput: future\nOutput: next\n\nInput: crazy\nOutput: wild\n\nThe instruction was", "metadata": { "examples_seen": "Input: appointment\nOutput: assignment\n\nInput: alone\nOutput: only\n\nInput: stairs\nOutput: steps\n\nInput: future\nOutput: next\n\nInput: crazy\nOutput: wild" } }, "26": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: parade\nOutput: march\n\nInput: schema\nOutput: scheme\n\nInput: wrinkle\nOutput: line\n\nInput: operate\nOutput: control\n\nInput: gamble\nOutput: risk\n\nThe instruction was", "metadata": { "examples_seen": "Input: parade\nOutput: march\n\nInput: schema\nOutput: scheme\n\nInput: wrinkle\nOutput: line\n\nInput: operate\nOutput: control\n\nInput: gamble\nOutput: risk" } }, "27": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: feel\nOutput: sense\n\nInput: reviewer\nOutput: reader\n\nInput: liquor\nOutput: spirits\n\nInput: bending\nOutput: bend\n\nInput: blanket\nOutput: cover\n\nThe instruction was", "metadata": { "examples_seen": "Input: feel\nOutput: sense\n\nInput: reviewer\nOutput: reader\n\nInput: liquor\nOutput: spirits\n\nInput: bending\nOutput: bend\n\nInput: blanket\nOutput: cover" } }, "28": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: celebration\nOutput: festivity\n\nInput: controversy\nOutput: argument\n\nInput: thirteen\nOutput: 13\n\nInput: particular\nOutput: special\n\nInput: achieve\nOutput: reach\n\nThe instruction was", "metadata": { "examples_seen": "Input: celebration\nOutput: festivity\n\nInput: controversy\nOutput: argument\n\nInput: thirteen\nOutput: 13\n\nInput: particular\nOutput: special\n\nInput: achieve\nOutput: reach" } }, "29": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: embody\nOutput: be\n\nInput: matchless\nOutput: one\n\nInput: sail\nOutput: sheet\n\nInput: particularly\nOutput: specially\n\nInput: floor\nOutput: level\n\nThe instruction was", "metadata": { "examples_seen": "Input: embody\nOutput: be\n\nInput: matchless\nOutput: one\n\nInput: sail\nOutput: sheet\n\nInput: particularly\nOutput: specially\n\nInput: floor\nOutput: level" } }, "30": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: petroleum\nOutput: oil\n\nInput: extremity\nOutput: member\n\nInput: greet\nOutput: recognize\n\nInput: regulate\nOutput: order\n\nInput: impossible\nOutput: unacceptable\n\nThe instruction was", "metadata": { "examples_seen": "Input: petroleum\nOutput: oil\n\nInput: extremity\nOutput: member\n\nInput: greet\nOutput: recognize\n\nInput: regulate\nOutput: order\n\nInput: impossible\nOutput: unacceptable" } }, "31": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: excellent\nOutput: splendid\n\nInput: protest\nOutput: resist\n\nInput: exit\nOutput: leave\n\nInput: heavy\nOutput: sound\n\nInput: curl\nOutput: wave\n\nThe instruction was", "metadata": { "examples_seen": "Input: excellent\nOutput: splendid\n\nInput: protest\nOutput: resist\n\nInput: exit\nOutput: leave\n\nInput: heavy\nOutput: sound\n\nInput: curl\nOutput: wave" } }, "32": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: valley\nOutput: vale\n\nInput: trade\nOutput: switch\n\nInput: apartment\nOutput: flat\n\nInput: imagination\nOutput: vision\n\nInput: flee\nOutput: fly\n\nThe instruction was", "metadata": { "examples_seen": "Input: valley\nOutput: vale\n\nInput: trade\nOutput: switch\n\nInput: apartment\nOutput: flat\n\nInput: imagination\nOutput: vision\n\nInput: flee\nOutput: fly" } }, "33": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: gaze\nOutput: regard\n\nInput: collection\nOutput: collecting\n\nInput: coke\nOutput: snow\n\nInput: overcome\nOutput: master\n\nInput: recall\nOutput: withdraw\n\nThe instruction was", "metadata": { "examples_seen": "Input: gaze\nOutput: regard\n\nInput: collection\nOutput: collecting\n\nInput: coke\nOutput: snow\n\nInput: overcome\nOutput: master\n\nInput: recall\nOutput: withdraw" } }, "34": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: affect\nOutput: move\n\nInput: extensive\nOutput: extended\n\nInput: each\nOutput: apiece\n\nInput: purity\nOutput: innocence\n\nInput: ardent\nOutput: warm\n\nThe instruction was", "metadata": { "examples_seen": "Input: affect\nOutput: move\n\nInput: extensive\nOutput: extended\n\nInput: each\nOutput: apiece\n\nInput: purity\nOutput: innocence\n\nInput: ardent\nOutput: warm" } }, "35": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: happening\nOutput: occurrence\n\nInput: trial\nOutput: test\n\nInput: cake\nOutput: bar\n\nInput: corroborate\nOutput: support\n\nInput: opinion\nOutput: thought\n\nThe instruction was", "metadata": { "examples_seen": "Input: happening\nOutput: occurrence\n\nInput: trial\nOutput: test\n\nInput: cake\nOutput: bar\n\nInput: corroborate\nOutput: support\n\nInput: opinion\nOutput: thought" } }, "36": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: knowledgeable\nOutput: knowing\n\nInput: picking\nOutput: pick\n\nInput: rolled\nOutput: rolling\n\nInput: antique\nOutput: ex\n\nInput: usher\nOutput: show\n\nThe instruction was", "metadata": { "examples_seen": "Input: knowledgeable\nOutput: knowing\n\nInput: picking\nOutput: pick\n\nInput: rolled\nOutput: rolling\n\nInput: antique\nOutput: ex\n\nInput: usher\nOutput: show" } }, "37": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: conserve\nOutput: husband\n\nInput: fly\nOutput: fell\n\nInput: specify\nOutput: set\n\nInput: performance\nOutput: execution\n\nInput: ardent\nOutput: warm\n\nThe instruction was", "metadata": { "examples_seen": "Input: conserve\nOutput: husband\n\nInput: fly\nOutput: fell\n\nInput: specify\nOutput: set\n\nInput: performance\nOutput: execution\n\nInput: ardent\nOutput: warm" } }, "38": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: lean\nOutput: angle\n\nInput: weave\nOutput: wind\n\nInput: compound\nOutput: combine\n\nInput: moved\nOutput: affected\n\nInput: grey\nOutput: gray\n\nThe instruction was", "metadata": { "examples_seen": "Input: lean\nOutput: angle\n\nInput: weave\nOutput: wind\n\nInput: compound\nOutput: combine\n\nInput: moved\nOutput: affected\n\nInput: grey\nOutput: gray" } }, "39": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: industry\nOutput: manufacture\n\nInput: precipitate\nOutput: fall\n\nInput: vulnerability\nOutput: exposure\n\nInput: don\nOutput: father\n\nInput: speed\nOutput: velocity\n\nThe instruction was", "metadata": { "examples_seen": "Input: industry\nOutput: manufacture\n\nInput: precipitate\nOutput: fall\n\nInput: vulnerability\nOutput: exposure\n\nInput: don\nOutput: father\n\nInput: speed\nOutput: velocity" } }, "40": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: placement\nOutput: position\n\nInput: fierce\nOutput: violent\n\nInput: box\nOutput: package\n\nInput: relief\nOutput: ease\n\nInput: arduous\nOutput: hard\n\nThe instruction was", "metadata": { "examples_seen": "Input: placement\nOutput: position\n\nInput: fierce\nOutput: violent\n\nInput: box\nOutput: package\n\nInput: relief\nOutput: ease\n\nInput: arduous\nOutput: hard" } }, "41": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: district\nOutput: territory\n\nInput: wilderness\nOutput: wild\n\nInput: original\nOutput: pilot\n\nInput: twenty\nOutput: 20\n\nInput: utilitarian\nOutput: useful\n\nThe instruction was", "metadata": { "examples_seen": "Input: district\nOutput: territory\n\nInput: wilderness\nOutput: wild\n\nInput: original\nOutput: pilot\n\nInput: twenty\nOutput: 20\n\nInput: utilitarian\nOutput: useful" } }, "42": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: wax\nOutput: full\n\nInput: civil\nOutput: civic\n\nInput: governor\nOutput: regulator\n\nInput: campaign\nOutput: cause\n\nInput: movie\nOutput: picture\n\nThe instruction was", "metadata": { "examples_seen": "Input: wax\nOutput: full\n\nInput: civil\nOutput: civic\n\nInput: governor\nOutput: regulator\n\nInput: campaign\nOutput: cause\n\nInput: movie\nOutput: picture" } }, "43": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: evaluate\nOutput: judge\n\nInput: articulation\nOutput: voice\n\nInput: means\nOutput: way\n\nInput: inside\nOutput: within\n\nInput: virtual\nOutput: practical\n\nThe instruction was", "metadata": { "examples_seen": "Input: evaluate\nOutput: judge\n\nInput: articulation\nOutput: voice\n\nInput: means\nOutput: way\n\nInput: inside\nOutput: within\n\nInput: virtual\nOutput: practical" } }, "44": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: genesis\nOutput: generation\n\nInput: ocular\nOutput: visual\n\nInput: appeal\nOutput: charm\n\nInput: tax\nOutput: task\n\nInput: recognized\nOutput: recognised\n\nThe instruction was", "metadata": { "examples_seen": "Input: genesis\nOutput: generation\n\nInput: ocular\nOutput: visual\n\nInput: appeal\nOutput: charm\n\nInput: tax\nOutput: task\n\nInput: recognized\nOutput: recognised" } }, "45": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: hearing\nOutput: audience\n\nInput: phase\nOutput: form\n\nInput: reply\nOutput: response\n\nInput: coerce\nOutput: force\n\nInput: drawing\nOutput: drafting\n\nThe instruction was", "metadata": { "examples_seen": "Input: hearing\nOutput: audience\n\nInput: phase\nOutput: form\n\nInput: reply\nOutput: response\n\nInput: coerce\nOutput: force\n\nInput: drawing\nOutput: drafting" } }, "46": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: translation\nOutput: version\n\nInput: deuce\nOutput: two\n\nInput: sorrow\nOutput: regret\n\nInput: probable\nOutput: likely\n\nInput: constant\nOutput: invariable\n\nThe instruction was", "metadata": { "examples_seen": "Input: translation\nOutput: version\n\nInput: deuce\nOutput: two\n\nInput: sorrow\nOutput: regret\n\nInput: probable\nOutput: likely\n\nInput: constant\nOutput: invariable" } }, "47": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: astir\nOutput: up\n\nInput: plainly\nOutput: simply\n\nInput: enforce\nOutput: apply\n\nInput: slant\nOutput: weight\n\nInput: interpreted\nOutput: taken\n\nThe instruction was", "metadata": { "examples_seen": "Input: astir\nOutput: up\n\nInput: plainly\nOutput: simply\n\nInput: enforce\nOutput: apply\n\nInput: slant\nOutput: weight\n\nInput: interpreted\nOutput: taken" } }, "48": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: issue\nOutput: number\n\nInput: assumed\nOutput: false\n\nInput: forum\nOutput: assembly\n\nInput: accelerate\nOutput: speed\n\nInput: hook\nOutput: draw\n\nThe instruction was", "metadata": { "examples_seen": "Input: issue\nOutput: number\n\nInput: assumed\nOutput: false\n\nInput: forum\nOutput: assembly\n\nInput: accelerate\nOutput: speed\n\nInput: hook\nOutput: draw" } }, "49": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dodge\nOutput: scheme\n\nInput: auspices\nOutput: protection\n\nInput: explode\nOutput: burst\n\nInput: devil\nOutput: dickens\n\nInput: twelve\nOutput: 12\n\nThe instruction was", "metadata": { "examples_seen": "Input: dodge\nOutput: scheme\n\nInput: auspices\nOutput: protection\n\nInput: explode\nOutput: burst\n\nInput: devil\nOutput: dickens\n\nInput: twelve\nOutput: 12" } }, "50": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: snap\nOutput: click\n\nInput: good\nOutput: well\n\nInput: tested\nOutput: tried\n\nInput: air\nOutput: send\n\nInput: doubly\nOutput: twice\n\nThe instruction was", "metadata": { "examples_seen": "Input: snap\nOutput: click\n\nInput: good\nOutput: well\n\nInput: tested\nOutput: tried\n\nInput: air\nOutput: send\n\nInput: doubly\nOutput: twice" } }, "51": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: suppose\nOutput: say\n\nInput: redemption\nOutput: salvation\n\nInput: rehearse\nOutput: practice\n\nInput: amiss\nOutput: wrong\n\nInput: brood\nOutput: cover\n\nThe instruction was", "metadata": { "examples_seen": "Input: suppose\nOutput: say\n\nInput: redemption\nOutput: salvation\n\nInput: rehearse\nOutput: practice\n\nInput: amiss\nOutput: wrong\n\nInput: brood\nOutput: cover" } }, "52": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: village\nOutput: settlement\n\nInput: interrogation\nOutput: examination\n\nInput: current\nOutput: stream\n\nInput: pull\nOutput: force\n\nInput: disagree\nOutput: differ\n\nThe instruction was", "metadata": { "examples_seen": "Input: village\nOutput: settlement\n\nInput: interrogation\nOutput: examination\n\nInput: current\nOutput: stream\n\nInput: pull\nOutput: force\n\nInput: disagree\nOutput: differ" } }, "53": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: coldness\nOutput: cold\n\nInput: try\nOutput: attempt\n\nInput: killing\nOutput: kill\n\nInput: satisfy\nOutput: fulfill\n\nInput: filter\nOutput: filtrate\n\nThe instruction was", "metadata": { "examples_seen": "Input: coldness\nOutput: cold\n\nInput: try\nOutput: attempt\n\nInput: killing\nOutput: kill\n\nInput: satisfy\nOutput: fulfill\n\nInput: filter\nOutput: filtrate" } }, "54": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: partake\nOutput: share\n\nInput: deny\nOutput: refuse\n\nInput: mature\nOutput: grow\n\nInput: police\nOutput: law\n\nInput: strait\nOutput: sound\n\nThe instruction was", "metadata": { "examples_seen": "Input: partake\nOutput: share\n\nInput: deny\nOutput: refuse\n\nInput: mature\nOutput: grow\n\nInput: police\nOutput: law\n\nInput: strait\nOutput: sound" } }, "55": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: extremity\nOutput: member\n\nInput: friendly\nOutput: favorable\n\nInput: tense\nOutput: strain\n\nInput: specially\nOutput: especially\n\nInput: salvage\nOutput: save\n\nThe instruction was", "metadata": { "examples_seen": "Input: extremity\nOutput: member\n\nInput: friendly\nOutput: favorable\n\nInput: tense\nOutput: strain\n\nInput: specially\nOutput: especially\n\nInput: salvage\nOutput: save" } }, "56": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: education\nOutput: training\n\nInput: file\nOutput: register\n\nInput: social\nOutput: societal\n\nInput: capital\nOutput: great\n\nInput: dwell\nOutput: lie\n\nThe instruction was", "metadata": { "examples_seen": "Input: education\nOutput: training\n\nInput: file\nOutput: register\n\nInput: social\nOutput: societal\n\nInput: capital\nOutput: great\n\nInput: dwell\nOutput: lie" } }, "57": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: leave\nOutput: result\n\nInput: unite\nOutput: combine\n\nInput: fight\nOutput: struggle\n\nInput: announcement\nOutput: declaration\n\nInput: bus\nOutput: coach\n\nThe instruction was", "metadata": { "examples_seen": "Input: leave\nOutput: result\n\nInput: unite\nOutput: combine\n\nInput: fight\nOutput: struggle\n\nInput: announcement\nOutput: declaration\n\nInput: bus\nOutput: coach" } }, "58": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: loss\nOutput: red\n\nInput: meanwhile\nOutput: meantime\n\nInput: doomed\nOutput: lost\n\nInput: official\nOutput: prescribed\n\nInput: blessing\nOutput: approval\n\nThe instruction was", "metadata": { "examples_seen": "Input: loss\nOutput: red\n\nInput: meanwhile\nOutput: meantime\n\nInput: doomed\nOutput: lost\n\nInput: official\nOutput: prescribed\n\nInput: blessing\nOutput: approval" } }, "59": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: numerical\nOutput: mathematical\n\nInput: hallway\nOutput: hall\n\nInput: craft\nOutput: trade\n\nInput: write\nOutput: save\n\nInput: evaluate\nOutput: judge\n\nThe instruction was", "metadata": { "examples_seen": "Input: numerical\nOutput: mathematical\n\nInput: hallway\nOutput: hall\n\nInput: craft\nOutput: trade\n\nInput: write\nOutput: save\n\nInput: evaluate\nOutput: judge" } }, "60": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: seated\nOutput: sitting\n\nInput: file\nOutput: register\n\nInput: sensitive\nOutput: raw\n\nInput: discipline\nOutput: study\n\nInput: menstruation\nOutput: period\n\nThe instruction was", "metadata": { "examples_seen": "Input: seated\nOutput: sitting\n\nInput: file\nOutput: register\n\nInput: sensitive\nOutput: raw\n\nInput: discipline\nOutput: study\n\nInput: menstruation\nOutput: period" } }, "61": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: refund\nOutput: return\n\nInput: coupled\nOutput: joined\n\nInput: farewell\nOutput: leave\n\nInput: enough\nOutput: plenty\n\nInput: future\nOutput: next\n\nThe instruction was", "metadata": { "examples_seen": "Input: refund\nOutput: return\n\nInput: coupled\nOutput: joined\n\nInput: farewell\nOutput: leave\n\nInput: enough\nOutput: plenty\n\nInput: future\nOutput: next" } }, "62": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: tempered\nOutput: treated\n\nInput: car\nOutput: machine\n\nInput: transmit\nOutput: transfer\n\nInput: specify\nOutput: set\n\nInput: constitute\nOutput: be\n\nThe instruction was", "metadata": { "examples_seen": "Input: tempered\nOutput: treated\n\nInput: car\nOutput: machine\n\nInput: transmit\nOutput: transfer\n\nInput: specify\nOutput: set\n\nInput: constitute\nOutput: be" } }, "63": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: measure\nOutput: value\n\nInput: way\nOutput: path\n\nInput: cautious\nOutput: conservative\n\nInput: rolled\nOutput: rolling\n\nInput: accompaniment\nOutput: support\n\nThe instruction was", "metadata": { "examples_seen": "Input: measure\nOutput: value\n\nInput: way\nOutput: path\n\nInput: cautious\nOutput: conservative\n\nInput: rolled\nOutput: rolling\n\nInput: accompaniment\nOutput: support" } }, "64": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: intelligent\nOutput: thinking\n\nInput: benefit\nOutput: welfare\n\nInput: fear\nOutput: dread\n\nInput: however\nOutput: still\n\nInput: rebellion\nOutput: rising\n\nThe instruction was", "metadata": { "examples_seen": "Input: intelligent\nOutput: thinking\n\nInput: benefit\nOutput: welfare\n\nInput: fear\nOutput: dread\n\nInput: however\nOutput: still\n\nInput: rebellion\nOutput: rising" } }, "65": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: built\nOutput: reinforced\n\nInput: decline\nOutput: correct\n\nInput: cable\nOutput: line\n\nInput: bow\nOutput: arc\n\nInput: polish\nOutput: down\n\nThe instruction was", "metadata": { "examples_seen": "Input: built\nOutput: reinforced\n\nInput: decline\nOutput: correct\n\nInput: cable\nOutput: line\n\nInput: bow\nOutput: arc\n\nInput: polish\nOutput: down" } }, "66": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: excessively\nOutput: too\n\nInput: screening\nOutput: showing\n\nInput: bus\nOutput: coach\n\nInput: inspection\nOutput: review\n\nInput: suspension\nOutput: hanging\n\nThe instruction was", "metadata": { "examples_seen": "Input: excessively\nOutput: too\n\nInput: screening\nOutput: showing\n\nInput: bus\nOutput: coach\n\nInput: inspection\nOutput: review\n\nInput: suspension\nOutput: hanging" } }, "67": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: inheritance\nOutput: heritage\n\nInput: telephone\nOutput: phone\n\nInput: profoundly\nOutput: deeply\n\nInput: redemption\nOutput: salvation\n\nInput: food\nOutput: nutrient\n\nThe instruction was", "metadata": { "examples_seen": "Input: inheritance\nOutput: heritage\n\nInput: telephone\nOutput: phone\n\nInput: profoundly\nOutput: deeply\n\nInput: redemption\nOutput: salvation\n\nInput: food\nOutput: nutrient" } }, "68": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: base\nOutput: home\n\nInput: convention\nOutput: rule\n\nInput: ability\nOutput: power\n\nInput: converse\nOutput: discourse\n\nInput: mysterious\nOutput: secret\n\nThe instruction was", "metadata": { "examples_seen": "Input: base\nOutput: home\n\nInput: convention\nOutput: rule\n\nInput: ability\nOutput: power\n\nInput: converse\nOutput: discourse\n\nInput: mysterious\nOutput: secret" } }, "69": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: newspaper\nOutput: paper\n\nInput: baffled\nOutput: lost\n\nInput: excess\nOutput: extra\n\nInput: ability\nOutput: power\n\nInput: reap\nOutput: draw\n\nThe instruction was", "metadata": { "examples_seen": "Input: newspaper\nOutput: paper\n\nInput: baffled\nOutput: lost\n\nInput: excess\nOutput: extra\n\nInput: ability\nOutput: power\n\nInput: reap\nOutput: draw" } }, "70": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: tail\nOutput: shadow\n\nInput: midst\nOutput: thick\n\nInput: acquiring\nOutput: getting\n\nInput: estimable\nOutput: good\n\nInput: conserve\nOutput: husband\n\nThe instruction was", "metadata": { "examples_seen": "Input: tail\nOutput: shadow\n\nInput: midst\nOutput: thick\n\nInput: acquiring\nOutput: getting\n\nInput: estimable\nOutput: good\n\nInput: conserve\nOutput: husband" } }, "71": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: facilitate\nOutput: ease\n\nInput: formation\nOutput: shaping\n\nInput: differently\nOutput: otherwise\n\nInput: alert\nOutput: alive\n\nInput: supply\nOutput: provide\n\nThe instruction was", "metadata": { "examples_seen": "Input: facilitate\nOutput: ease\n\nInput: formation\nOutput: shaping\n\nInput: differently\nOutput: otherwise\n\nInput: alert\nOutput: alive\n\nInput: supply\nOutput: provide" } }, "72": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: huge\nOutput: vast\n\nInput: aesthetic\nOutput: artistic\n\nInput: print\nOutput: publish\n\nInput: contend\nOutput: fight\n\nInput: desire\nOutput: want\n\nThe instruction was", "metadata": { "examples_seen": "Input: huge\nOutput: vast\n\nInput: aesthetic\nOutput: artistic\n\nInput: print\nOutput: publish\n\nInput: contend\nOutput: fight\n\nInput: desire\nOutput: want" } }, "73": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: seated\nOutput: sitting\n\nInput: punch\nOutput: poke\n\nInput: telephone\nOutput: phone\n\nInput: corporation\nOutput: corp\n\nInput: withdraw\nOutput: draw\n\nThe instruction was", "metadata": { "examples_seen": "Input: seated\nOutput: sitting\n\nInput: punch\nOutput: poke\n\nInput: telephone\nOutput: phone\n\nInput: corporation\nOutput: corp\n\nInput: withdraw\nOutput: draw" } }, "74": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: connection\nOutput: link\n\nInput: costly\nOutput: dear\n\nInput: injection\nOutput: shot\n\nInput: sixty\nOutput: 60\n\nInput: advancing\nOutput: forward\n\nThe instruction was", "metadata": { "examples_seen": "Input: connection\nOutput: link\n\nInput: costly\nOutput: dear\n\nInput: injection\nOutput: shot\n\nInput: sixty\nOutput: 60\n\nInput: advancing\nOutput: forward" } }, "75": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dangerous\nOutput: serious\n\nInput: priority\nOutput: precedence\n\nInput: lost\nOutput: missed\n\nInput: animation\nOutput: life\n\nInput: badly\nOutput: bad\n\nThe instruction was", "metadata": { "examples_seen": "Input: dangerous\nOutput: serious\n\nInput: priority\nOutput: precedence\n\nInput: lost\nOutput: missed\n\nInput: animation\nOutput: life\n\nInput: badly\nOutput: bad" } }, "76": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dialogue\nOutput: dialog\n\nInput: exploitation\nOutput: development\n\nInput: fabrication\nOutput: assembly\n\nInput: emerging\nOutput: rising\n\nInput: recently\nOutput: late\n\nThe instruction was", "metadata": { "examples_seen": "Input: dialogue\nOutput: dialog\n\nInput: exploitation\nOutput: development\n\nInput: fabrication\nOutput: assembly\n\nInput: emerging\nOutput: rising\n\nInput: recently\nOutput: late" } }, "77": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: top\nOutput: cover\n\nInput: wedge\nOutput: force\n\nInput: fantastic\nOutput: wild\n\nInput: pronounce\nOutput: say\n\nInput: doubling\nOutput: double\n\nThe instruction was", "metadata": { "examples_seen": "Input: top\nOutput: cover\n\nInput: wedge\nOutput: force\n\nInput: fantastic\nOutput: wild\n\nInput: pronounce\nOutput: say\n\nInput: doubling\nOutput: double" } }, "78": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: implicated\nOutput: concerned\n\nInput: constitute\nOutput: be\n\nInput: sketch\nOutput: study\n\nInput: eighth\nOutput: 8th\n\nInput: official\nOutput: prescribed\n\nThe instruction was", "metadata": { "examples_seen": "Input: implicated\nOutput: concerned\n\nInput: constitute\nOutput: be\n\nInput: sketch\nOutput: study\n\nInput: eighth\nOutput: 8th\n\nInput: official\nOutput: prescribed" } }, "79": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: elementary\nOutput: simple\n\nInput: insert\nOutput: enter\n\nInput: disturb\nOutput: trouble\n\nInput: global\nOutput: world\n\nInput: presence\nOutput: front\n\nThe instruction was", "metadata": { "examples_seen": "Input: elementary\nOutput: simple\n\nInput: insert\nOutput: enter\n\nInput: disturb\nOutput: trouble\n\nInput: global\nOutput: world\n\nInput: presence\nOutput: front" } }, "80": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: shine\nOutput: beam\n\nInput: segment\nOutput: section\n\nInput: cautiously\nOutput: carefully\n\nInput: equality\nOutput: equation\n\nInput: feat\nOutput: effort\n\nThe instruction was", "metadata": { "examples_seen": "Input: shine\nOutput: beam\n\nInput: segment\nOutput: section\n\nInput: cautiously\nOutput: carefully\n\nInput: equality\nOutput: equation\n\nInput: feat\nOutput: effort" } }, "81": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: honor\nOutput: purity\n\nInput: switch\nOutput: change\n\nInput: zone\nOutput: district\n\nInput: probe\nOutput: investigation\n\nInput: comfortable\nOutput: easy\n\nThe instruction was", "metadata": { "examples_seen": "Input: honor\nOutput: purity\n\nInput: switch\nOutput: change\n\nInput: zone\nOutput: district\n\nInput: probe\nOutput: investigation\n\nInput: comfortable\nOutput: easy" } }, "82": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: combination\nOutput: combining\n\nInput: environment\nOutput: surroundings\n\nInput: fiscal\nOutput: financial\n\nInput: heathen\nOutput: ethnic\n\nInput: striving\nOutput: strain\n\nThe instruction was", "metadata": { "examples_seen": "Input: combination\nOutput: combining\n\nInput: environment\nOutput: surroundings\n\nInput: fiscal\nOutput: financial\n\nInput: heathen\nOutput: ethnic\n\nInput: striving\nOutput: strain" } }, "83": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: blame\nOutput: charge\n\nInput: acquire\nOutput: gain\n\nInput: confidential\nOutput: secret\n\nInput: bending\nOutput: bend\n\nInput: potential\nOutput: possible\n\nThe instruction was", "metadata": { "examples_seen": "Input: blame\nOutput: charge\n\nInput: acquire\nOutput: gain\n\nInput: confidential\nOutput: secret\n\nInput: bending\nOutput: bend\n\nInput: potential\nOutput: possible" } }, "84": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: annoyance\nOutput: pain\n\nInput: beget\nOutput: get\n\nInput: dame\nOutput: lady\n\nInput: lineage\nOutput: line\n\nInput: flat\nOutput: level\n\nThe instruction was", "metadata": { "examples_seen": "Input: annoyance\nOutput: pain\n\nInput: beget\nOutput: get\n\nInput: dame\nOutput: lady\n\nInput: lineage\nOutput: line\n\nInput: flat\nOutput: level" } }, "85": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: receive\nOutput: have\n\nInput: direction\nOutput: way\n\nInput: topic\nOutput: matter\n\nInput: certified\nOutput: qualified\n\nInput: manipulation\nOutput: use\n\nThe instruction was", "metadata": { "examples_seen": "Input: receive\nOutput: have\n\nInput: direction\nOutput: way\n\nInput: topic\nOutput: matter\n\nInput: certified\nOutput: qualified\n\nInput: manipulation\nOutput: use" } }, "86": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: scent\nOutput: wind\n\nInput: gay\nOutput: jolly\n\nInput: section\nOutput: segment\n\nInput: change\nOutput: exchange\n\nInput: attendance\nOutput: attending\n\nThe instruction was", "metadata": { "examples_seen": "Input: scent\nOutput: wind\n\nInput: gay\nOutput: jolly\n\nInput: section\nOutput: segment\n\nInput: change\nOutput: exchange\n\nInput: attendance\nOutput: attending" } }, "87": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: drug\nOutput: dose\n\nInput: disorder\nOutput: upset\n\nInput: speak\nOutput: talk\n\nInput: reasonable\nOutput: sensible\n\nInput: town\nOutput: townspeople\n\nThe instruction was", "metadata": { "examples_seen": "Input: drug\nOutput: dose\n\nInput: disorder\nOutput: upset\n\nInput: speak\nOutput: talk\n\nInput: reasonable\nOutput: sensible\n\nInput: town\nOutput: townspeople" } }, "88": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: yard\nOutput: grounds\n\nInput: appraisal\nOutput: assessment\n\nInput: trey\nOutput: three\n\nInput: affiliated\nOutput: connected\n\nInput: unite\nOutput: combine\n\nThe instruction was", "metadata": { "examples_seen": "Input: yard\nOutput: grounds\n\nInput: appraisal\nOutput: assessment\n\nInput: trey\nOutput: three\n\nInput: affiliated\nOutput: connected\n\nInput: unite\nOutput: combine" } }, "89": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ceiling\nOutput: roof\n\nInput: plug\nOutput: secure\n\nInput: material\nOutput: stuff\n\nInput: argumentation\nOutput: line\n\nInput: organism\nOutput: being\n\nThe instruction was", "metadata": { "examples_seen": "Input: ceiling\nOutput: roof\n\nInput: plug\nOutput: secure\n\nInput: material\nOutput: stuff\n\nInput: argumentation\nOutput: line\n\nInput: organism\nOutput: being" } }, "90": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: guess\nOutput: supposition\n\nInput: mesa\nOutput: table\n\nInput: date\nOutput: appointment\n\nInput: existent\nOutput: existing\n\nInput: gear\nOutput: pitch\n\nThe instruction was", "metadata": { "examples_seen": "Input: guess\nOutput: supposition\n\nInput: mesa\nOutput: table\n\nInput: date\nOutput: appointment\n\nInput: existent\nOutput: existing\n\nInput: gear\nOutput: pitch" } }, "91": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: giant\nOutput: monster\n\nInput: transaction\nOutput: dealing\n\nInput: excuse\nOutput: explain\n\nInput: baffled\nOutput: lost\n\nInput: distinctly\nOutput: clearly\n\nThe instruction was", "metadata": { "examples_seen": "Input: giant\nOutput: monster\n\nInput: transaction\nOutput: dealing\n\nInput: excuse\nOutput: explain\n\nInput: baffled\nOutput: lost\n\nInput: distinctly\nOutput: clearly" } }, "92": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: volunteer\nOutput: offer\n\nInput: protected\nOutput: saved\n\nInput: soon\nOutput: shortly\n\nInput: necessitate\nOutput: take\n\nInput: extend\nOutput: offer\n\nThe instruction was", "metadata": { "examples_seen": "Input: volunteer\nOutput: offer\n\nInput: protected\nOutput: saved\n\nInput: soon\nOutput: shortly\n\nInput: necessitate\nOutput: take\n\nInput: extend\nOutput: offer" } }, "93": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: plug\nOutput: secure\n\nInput: vicinity\nOutput: neighborhood\n\nInput: floor\nOutput: level\n\nInput: change\nOutput: exchange\n\nInput: inactive\nOutput: still\n\nThe instruction was", "metadata": { "examples_seen": "Input: plug\nOutput: secure\n\nInput: vicinity\nOutput: neighborhood\n\nInput: floor\nOutput: level\n\nInput: change\nOutput: exchange\n\nInput: inactive\nOutput: still" } }, "94": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bum\nOutput: cheap\n\nInput: liberal\nOutput: progressive\n\nInput: sensible\nOutput: sensitive\n\nInput: apparently\nOutput: seemingly\n\nInput: manage\nOutput: care\n\nThe instruction was", "metadata": { "examples_seen": "Input: bum\nOutput: cheap\n\nInput: liberal\nOutput: progressive\n\nInput: sensible\nOutput: sensitive\n\nInput: apparently\nOutput: seemingly\n\nInput: manage\nOutput: care" } }, "95": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: curvature\nOutput: curve\n\nInput: condition\nOutput: term\n\nInput: necessitate\nOutput: take\n\nInput: plate\nOutput: scale\n\nInput: bespeak\nOutput: point\n\nThe instruction was", "metadata": { "examples_seen": "Input: curvature\nOutput: curve\n\nInput: condition\nOutput: term\n\nInput: necessitate\nOutput: take\n\nInput: plate\nOutput: scale\n\nInput: bespeak\nOutput: point" } }, "96": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: apart\nOutput: aside\n\nInput: abbreviated\nOutput: brief\n\nInput: folk\nOutput: folks\n\nInput: equally\nOutput: as\n\nInput: headway\nOutput: head\n\nThe instruction was", "metadata": { "examples_seen": "Input: apart\nOutput: aside\n\nInput: abbreviated\nOutput: brief\n\nInput: folk\nOutput: folks\n\nInput: equally\nOutput: as\n\nInput: headway\nOutput: head" } }, "97": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: reliance\nOutput: trust\n\nInput: interrogation\nOutput: examination\n\nInput: sorrow\nOutput: regret\n\nInput: fifth\nOutput: 5th\n\nInput: derive\nOutput: come\n\nThe instruction was", "metadata": { "examples_seen": "Input: reliance\nOutput: trust\n\nInput: interrogation\nOutput: examination\n\nInput: sorrow\nOutput: regret\n\nInput: fifth\nOutput: 5th\n\nInput: derive\nOutput: come" } }, "98": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: probability\nOutput: chance\n\nInput: defend\nOutput: support\n\nInput: group\nOutput: radical\n\nInput: built\nOutput: reinforced\n\nInput: curl\nOutput: wave\n\nThe instruction was", "metadata": { "examples_seen": "Input: probability\nOutput: chance\n\nInput: defend\nOutput: support\n\nInput: group\nOutput: radical\n\nInput: built\nOutput: reinforced\n\nInput: curl\nOutput: wave" } }, "99": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: comparison\nOutput: compare\n\nInput: arch\nOutput: curve\n\nInput: departure\nOutput: going\n\nInput: bell\nOutput: toll\n\nInput: recently\nOutput: late\n\nThe instruction was", "metadata": { "examples_seen": "Input: comparison\nOutput: compare\n\nInput: arch\nOutput: curve\n\nInput: departure\nOutput: going\n\nInput: bell\nOutput: toll\n\nInput: recently\nOutput: late" } }, "100": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: folk\nOutput: folks\n\nInput: heavily\nOutput: hard\n\nInput: aesthetic\nOutput: artistic\n\nInput: knock\nOutput: belt\n\nInput: proverb\nOutput: saw\n\nThe instruction was", "metadata": { "examples_seen": "Input: folk\nOutput: folks\n\nInput: heavily\nOutput: hard\n\nInput: aesthetic\nOutput: artistic\n\nInput: knock\nOutput: belt\n\nInput: proverb\nOutput: saw" } } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/induction_input/taxonomy_animal.json ================================================ { "examples": { "1": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: mechanic, elephant, sausage, swan, bat, sheep\nOutput: elephant, sheep, swan, bat\n\nInput: duck, journalist, camel, chicken, horse, trousers\nOutput: camel, chicken, horse, duck\n\nInput: pasta, donkey, hippo, pea, mouse, sheep, doctor\nOutput: hippo, sheep, mouse, donkey\n\nInput: yellow, blue, spider, octopus, shirt, monkey, mouse\nOutput: spider, monkey, mouse, octopus\n\nInput: pink, hippo, chicken, actor, car, monkey\nOutput: chicken, monkey, hippo\n\nThe instruction was", "metadata": { "examples_seen": "Input: mechanic, elephant, sausage, swan, bat, sheep\nOutput: elephant, sheep, swan, bat\n\nInput: duck, journalist, camel, chicken, horse, trousers\nOutput: camel, chicken, horse, duck\n\nInput: pasta, donkey, hippo, pea, mouse, sheep, doctor\nOutput: hippo, sheep, mouse, donkey\n\nInput: yellow, blue, spider, octopus, shirt, monkey, mouse\nOutput: spider, monkey, mouse, octopus\n\nInput: pink, hippo, chicken, actor, car, monkey\nOutput: chicken, monkey, hippo" } }, "2": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: yellow, fly, bee, monkey, businesswoman, donkey\nOutput: fly, monkey, donkey, bee\n\nInput: penguin, dolphin, monkey, sweater, jellyfish, purple, honey\nOutput: jellyfish, monkey, penguin, dolphin\n\nInput: bat, businessman, designer, sheep, hippo, mango\nOutput: bat, sheep, hippo\n\nInput: tiger, candy, jellyfish, red, cat\nOutput: jellyfish, tiger, cat\n\nInput: milk, octopus, lizard, monkey, horse, sandwich\nOutput: lizard, horse, monkey, octopus\n\nThe instruction was", "metadata": { "examples_seen": "Input: yellow, fly, bee, monkey, businesswoman, donkey\nOutput: fly, monkey, donkey, bee\n\nInput: penguin, dolphin, monkey, sweater, jellyfish, purple, honey\nOutput: jellyfish, monkey, penguin, dolphin\n\nInput: bat, businessman, designer, sheep, hippo, mango\nOutput: bat, sheep, hippo\n\nInput: tiger, candy, jellyfish, red, cat\nOutput: jellyfish, tiger, cat\n\nInput: milk, octopus, lizard, monkey, horse, sandwich\nOutput: lizard, horse, monkey, octopus" } }, "3": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: orange, truck, sheep, snail, parrot\nOutput: snail, sheep, parrot\n\nInput: sock, snail, dolphin, gray, giraffe\nOutput: giraffe, snail, dolphin\n\nInput: tortoise, camel, bee, blue, sweater, glove\nOutput: tortoise, camel, bee\n\nInput: cat, helicopter, car, rabbit, chicken, octopus\nOutput: chicken, octopus, cat, rabbit\n\nInput: chicken, lion, snail, spaceship, zebra, cookie, swimsuit\nOutput: snail, zebra, lion, chicken\n\nThe instruction was", "metadata": { "examples_seen": "Input: orange, truck, sheep, snail, parrot\nOutput: snail, sheep, parrot\n\nInput: sock, snail, dolphin, gray, giraffe\nOutput: giraffe, snail, dolphin\n\nInput: tortoise, camel, bee, blue, sweater, glove\nOutput: tortoise, camel, bee\n\nInput: cat, helicopter, car, rabbit, chicken, octopus\nOutput: chicken, octopus, cat, rabbit\n\nInput: chicken, lion, snail, spaceship, zebra, cookie, swimsuit\nOutput: snail, zebra, lion, chicken" } }, "4": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: panda, vegetable, designer, lizard, taxi, monkey, octopus\nOutput: monkey, panda, lizard, octopus\n\nInput: helicopter, dolphin, photographer, hippo, fly, tortoise\nOutput: dolphin, tortoise, hippo, fly\n\nInput: jellyfish, zebra, cat, sausage, onion\nOutput: cat, zebra, jellyfish\n\nInput: nurse, lion, cat, yoghurt, tortoise\nOutput: lion, cat, tortoise\n\nInput: bee, butterfly, horse, cookie, teacher, hippo\nOutput: butterfly, horse, bee, hippo\n\nThe instruction was", "metadata": { "examples_seen": "Input: panda, vegetable, designer, lizard, taxi, monkey, octopus\nOutput: monkey, panda, lizard, octopus\n\nInput: helicopter, dolphin, photographer, hippo, fly, tortoise\nOutput: dolphin, tortoise, hippo, fly\n\nInput: jellyfish, zebra, cat, sausage, onion\nOutput: cat, zebra, jellyfish\n\nInput: nurse, lion, cat, yoghurt, tortoise\nOutput: lion, cat, tortoise\n\nInput: bee, butterfly, horse, cookie, teacher, hippo\nOutput: butterfly, horse, bee, hippo" } }, "5": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bee, yellow, jacket, shark, mouse, camel, belt\nOutput: camel, shark, mouse, bee\n\nInput: giraffe, bee, pajamas, spaceship, tiger, taxi, octopus\nOutput: giraffe, bee, octopus, tiger\n\nInput: goat, sweater, sausage, bus, spider, zebra\nOutput: goat, zebra, spider\n\nInput: swimsuit, shark, pink, bat, frog\nOutput: shark, bat, frog\n\nInput: rabbit, jacket, fly, hippo, jellyfish, nurse\nOutput: fly, hippo, jellyfish, rabbit\n\nThe instruction was", "metadata": { "examples_seen": "Input: bee, yellow, jacket, shark, mouse, camel, belt\nOutput: camel, shark, mouse, bee\n\nInput: giraffe, bee, pajamas, spaceship, tiger, taxi, octopus\nOutput: giraffe, bee, octopus, tiger\n\nInput: goat, sweater, sausage, bus, spider, zebra\nOutput: goat, zebra, spider\n\nInput: swimsuit, shark, pink, bat, frog\nOutput: shark, bat, frog\n\nInput: rabbit, jacket, fly, hippo, jellyfish, nurse\nOutput: fly, hippo, jellyfish, rabbit" } }, "6": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: mango, hat, snail, pineapple, fly, horse\nOutput: horse, fly, snail\n\nInput: monkey, elephant, scarf, giraffe, pink\nOutput: elephant, giraffe, monkey\n\nInput: bee, sandwich, hippo, yellow, lizard, snake\nOutput: lizard, snake, bee, hippo\n\nInput: businesswoman, bee, white, sweater, cat, elephant, jellyfish\nOutput: elephant, cat, bee, jellyfish\n\nInput: bee, duck, fly, pink, cat, orange, plane\nOutput: duck, bee, cat, fly\n\nThe instruction was", "metadata": { "examples_seen": "Input: mango, hat, snail, pineapple, fly, horse\nOutput: horse, fly, snail\n\nInput: monkey, elephant, scarf, giraffe, pink\nOutput: elephant, giraffe, monkey\n\nInput: bee, sandwich, hippo, yellow, lizard, snake\nOutput: lizard, snake, bee, hippo\n\nInput: businesswoman, bee, white, sweater, cat, elephant, jellyfish\nOutput: elephant, cat, bee, jellyfish\n\nInput: bee, duck, fly, pink, cat, orange, plane\nOutput: duck, bee, cat, fly" } }, "7": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sweater, butterfly, hippo, swimsuit, train, monkey\nOutput: monkey, hippo, butterfly\n\nInput: panda, yellow, duck, egg, goat\nOutput: goat, duck, panda\n\nInput: spaceship, sweater, designer, fly, shark, bat\nOutput: fly, shark, bat\n\nInput: train, spider, sheep, yellow, snail, butterfly\nOutput: sheep, butterfly, spider, snail\n\nInput: honey, hippo, elephant, milk, sheep, ship\nOutput: sheep, elephant, hippo\n\nThe instruction was", "metadata": { "examples_seen": "Input: sweater, butterfly, hippo, swimsuit, train, monkey\nOutput: monkey, hippo, butterfly\n\nInput: panda, yellow, duck, egg, goat\nOutput: goat, duck, panda\n\nInput: spaceship, sweater, designer, fly, shark, bat\nOutput: fly, shark, bat\n\nInput: train, spider, sheep, yellow, snail, butterfly\nOutput: sheep, butterfly, spider, snail\n\nInput: honey, hippo, elephant, milk, sheep, ship\nOutput: sheep, elephant, hippo" } }, "8": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sheep, monkey, businessman, shark, dolphin, waiter\nOutput: sheep, shark, dolphin, monkey\n\nInput: shark, belt, lion, spider, ambulance\nOutput: lion, shark, spider\n\nInput: scarf, goat, rabbit, duck, blue\nOutput: rabbit, duck, goat\n\nInput: bat, chicken, designer, soup, fly, horse\nOutput: chicken, horse, bat, fly\n\nInput: bee, giraffe, skirt, elephant, brown, donkey\nOutput: giraffe, elephant, donkey, bee\n\nThe instruction was", "metadata": { "examples_seen": "Input: sheep, monkey, businessman, shark, dolphin, waiter\nOutput: sheep, shark, dolphin, monkey\n\nInput: shark, belt, lion, spider, ambulance\nOutput: lion, shark, spider\n\nInput: scarf, goat, rabbit, duck, blue\nOutput: rabbit, duck, goat\n\nInput: bat, chicken, designer, soup, fly, horse\nOutput: chicken, horse, bat, fly\n\nInput: bee, giraffe, skirt, elephant, brown, donkey\nOutput: giraffe, elephant, donkey, bee" } }, "9": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: skirt, sausage, giraffe, goat, donkey\nOutput: goat, donkey, giraffe\n\nInput: rabbit, penguin, taxi, red, sweater, frog\nOutput: rabbit, penguin, frog\n\nInput: bat, nurse, lizard, yellow, rabbit, jellyfish\nOutput: jellyfish, rabbit, bat, lizard\n\nInput: pink, glove, giraffe, mouse, frog\nOutput: mouse, giraffe, frog\n\nInput: purple, mouse, panda, tiger, yellow\nOutput: panda, mouse, tiger\n\nThe instruction was", "metadata": { "examples_seen": "Input: skirt, sausage, giraffe, goat, donkey\nOutput: goat, donkey, giraffe\n\nInput: rabbit, penguin, taxi, red, sweater, frog\nOutput: rabbit, penguin, frog\n\nInput: bat, nurse, lizard, yellow, rabbit, jellyfish\nOutput: jellyfish, rabbit, bat, lizard\n\nInput: pink, glove, giraffe, mouse, frog\nOutput: mouse, giraffe, frog\n\nInput: purple, mouse, panda, tiger, yellow\nOutput: panda, mouse, tiger" } }, "10": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: cook, horse, burger, goat, snail\nOutput: goat, horse, snail\n\nInput: elephant, ship, cook, tortoise, spider, waiter, sheep\nOutput: sheep, elephant, spider, tortoise\n\nInput: penguin, shark, parrot, lizard, bread, cook\nOutput: lizard, penguin, parrot, shark\n\nInput: spider, potato, pear, tiger, hippo\nOutput: spider, tiger, hippo\n\nInput: frog, donkey, mango, zebra, trousers, tortoise\nOutput: frog, zebra, tortoise, donkey\n\nThe instruction was", "metadata": { "examples_seen": "Input: cook, horse, burger, goat, snail\nOutput: goat, horse, snail\n\nInput: elephant, ship, cook, tortoise, spider, waiter, sheep\nOutput: sheep, elephant, spider, tortoise\n\nInput: penguin, shark, parrot, lizard, bread, cook\nOutput: lizard, penguin, parrot, shark\n\nInput: spider, potato, pear, tiger, hippo\nOutput: spider, tiger, hippo\n\nInput: frog, donkey, mango, zebra, trousers, tortoise\nOutput: frog, zebra, tortoise, donkey" } }, "11": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: car, watermelon, spider, parrot, fly\nOutput: fly, parrot, spider\n\nInput: purple, sandwich, parrot, elephant, dolphin\nOutput: parrot, elephant, dolphin\n\nInput: sandwich, parrot, nurse, ship, chicken, sheep\nOutput: chicken, parrot, sheep\n\nInput: engineer, jellyfish, butterfly, designer, octopus, pineapple, lion\nOutput: jellyfish, octopus, butterfly, lion\n\nInput: panda, purple, rabbit, cat, engineer\nOutput: rabbit, panda, cat\n\nThe instruction was", "metadata": { "examples_seen": "Input: car, watermelon, spider, parrot, fly\nOutput: fly, parrot, spider\n\nInput: purple, sandwich, parrot, elephant, dolphin\nOutput: parrot, elephant, dolphin\n\nInput: sandwich, parrot, nurse, ship, chicken, sheep\nOutput: chicken, parrot, sheep\n\nInput: engineer, jellyfish, butterfly, designer, octopus, pineapple, lion\nOutput: jellyfish, octopus, butterfly, lion\n\nInput: panda, purple, rabbit, cat, engineer\nOutput: rabbit, panda, cat" } }, "12": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: yellow, brown, businessman, parrot, whale, giraffe\nOutput: parrot, giraffe, whale\n\nInput: journalist, truck, penguin, octopus, lizard, swan\nOutput: octopus, lizard, swan, penguin\n\nInput: whale, goat, pear, rabbit, pink\nOutput: whale, rabbit, goat\n\nInput: skirt, jellyfish, swimsuit, octopus, mechanic, snake\nOutput: jellyfish, snake, octopus\n\nInput: glove, giraffe, jacket, dolphin, whale\nOutput: dolphin, giraffe, whale\n\nThe instruction was", "metadata": { "examples_seen": "Input: yellow, brown, businessman, parrot, whale, giraffe\nOutput: parrot, giraffe, whale\n\nInput: journalist, truck, penguin, octopus, lizard, swan\nOutput: octopus, lizard, swan, penguin\n\nInput: whale, goat, pear, rabbit, pink\nOutput: whale, rabbit, goat\n\nInput: skirt, jellyfish, swimsuit, octopus, mechanic, snake\nOutput: jellyfish, snake, octopus\n\nInput: glove, giraffe, jacket, dolphin, whale\nOutput: dolphin, giraffe, whale" } }, "13": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: waiter, giraffe, octopus, candy, butterfly, frog, pancake\nOutput: frog, butterfly, octopus, giraffe\n\nInput: camel, frog, tractor, actor, panda\nOutput: panda, frog, camel\n\nInput: photographer, pink, snake, duck, whale\nOutput: snake, duck, whale\n\nInput: donkey, panda, parrot, chocolate, ambulance, milk\nOutput: parrot, donkey, panda\n\nInput: bee, sausage, motorway, tiger, cook, snake, giraffe\nOutput: snake, bee, tiger, giraffe\n\nThe instruction was", "metadata": { "examples_seen": "Input: waiter, giraffe, octopus, candy, butterfly, frog, pancake\nOutput: frog, butterfly, octopus, giraffe\n\nInput: camel, frog, tractor, actor, panda\nOutput: panda, frog, camel\n\nInput: photographer, pink, snake, duck, whale\nOutput: snake, duck, whale\n\nInput: donkey, panda, parrot, chocolate, ambulance, milk\nOutput: parrot, donkey, panda\n\nInput: bee, sausage, motorway, tiger, cook, snake, giraffe\nOutput: snake, bee, tiger, giraffe" } }, "14": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: hat, motorway, parrot, duck, hippo, chicken\nOutput: parrot, duck, hippo, chicken\n\nInput: shark, parrot, onion, green, whale\nOutput: shark, parrot, whale\n\nInput: cat, lizard, fly, plane, bat, brown, sandwich\nOutput: lizard, cat, bat, fly\n\nInput: ship, white, brown, snake, giraffe, zebra\nOutput: giraffe, snake, zebra\n\nInput: whale, elephant, donkey, businessman, tortoise, green\nOutput: tortoise, whale, donkey, elephant\n\nThe instruction was", "metadata": { "examples_seen": "Input: hat, motorway, parrot, duck, hippo, chicken\nOutput: parrot, duck, hippo, chicken\n\nInput: shark, parrot, onion, green, whale\nOutput: shark, parrot, whale\n\nInput: cat, lizard, fly, plane, bat, brown, sandwich\nOutput: lizard, cat, bat, fly\n\nInput: ship, white, brown, snake, giraffe, zebra\nOutput: giraffe, snake, zebra\n\nInput: whale, elephant, donkey, businessman, tortoise, green\nOutput: tortoise, whale, donkey, elephant" } }, "15": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pancake, whale, car, frog, tortoise, chicken, scarf\nOutput: chicken, whale, tortoise, frog\n\nInput: sock, hippo, fly, white, swan\nOutput: swan, hippo, fly\n\nInput: train, spider, sheep, yellow, snail, butterfly\nOutput: sheep, butterfly, spider, snail\n\nInput: tiger, octopus, penguin, sandwich, scarf, jacket, horse\nOutput: penguin, horse, octopus, tiger\n\nInput: rabbit, glove, donkey, orange, duck, belt, fly\nOutput: duck, donkey, rabbit, fly\n\nThe instruction was", "metadata": { "examples_seen": "Input: pancake, whale, car, frog, tortoise, chicken, scarf\nOutput: chicken, whale, tortoise, frog\n\nInput: sock, hippo, fly, white, swan\nOutput: swan, hippo, fly\n\nInput: train, spider, sheep, yellow, snail, butterfly\nOutput: sheep, butterfly, spider, snail\n\nInput: tiger, octopus, penguin, sandwich, scarf, jacket, horse\nOutput: penguin, horse, octopus, tiger\n\nInput: rabbit, glove, donkey, orange, duck, belt, fly\nOutput: duck, donkey, rabbit, fly" } }, "16": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: horse, yellow, bat, doctor, businessman, fly\nOutput: horse, bat, fly\n\nInput: brown, gray, chicken, shark, businesswoman, sheep\nOutput: sheep, shark, chicken\n\nInput: zebra, lizard, bus, lemon, blue, goat\nOutput: zebra, lizard, goat\n\nInput: onion, pajamas, lion, donkey, giraffe, octopus\nOutput: giraffe, donkey, lion, octopus\n\nInput: elephant, monkey, octopus, gold, panda, ship\nOutput: octopus, panda, monkey, elephant\n\nThe instruction was", "metadata": { "examples_seen": "Input: horse, yellow, bat, doctor, businessman, fly\nOutput: horse, bat, fly\n\nInput: brown, gray, chicken, shark, businesswoman, sheep\nOutput: sheep, shark, chicken\n\nInput: zebra, lizard, bus, lemon, blue, goat\nOutput: zebra, lizard, goat\n\nInput: onion, pajamas, lion, donkey, giraffe, octopus\nOutput: giraffe, donkey, lion, octopus\n\nInput: elephant, monkey, octopus, gold, panda, ship\nOutput: octopus, panda, monkey, elephant" } }, "17": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: jacket, tortoise, taxi, sock, panda, swan, whale\nOutput: whale, tortoise, swan, panda\n\nInput: cat, swan, scarf, donkey, dress, mango\nOutput: cat, swan, donkey\n\nInput: spaceship, sweater, designer, fly, shark, bat\nOutput: fly, shark, bat\n\nInput: red, designer, giraffe, donkey, duck\nOutput: duck, giraffe, donkey\n\nInput: designer, journalist, tiger, actor, bee, spider\nOutput: tiger, spider, bee\n\nThe instruction was", "metadata": { "examples_seen": "Input: jacket, tortoise, taxi, sock, panda, swan, whale\nOutput: whale, tortoise, swan, panda\n\nInput: cat, swan, scarf, donkey, dress, mango\nOutput: cat, swan, donkey\n\nInput: spaceship, sweater, designer, fly, shark, bat\nOutput: fly, shark, bat\n\nInput: red, designer, giraffe, donkey, duck\nOutput: duck, giraffe, donkey\n\nInput: designer, journalist, tiger, actor, bee, spider\nOutput: tiger, spider, bee" } }, "18": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: hippo, car, waiter, chicken, bee, snail\nOutput: hippo, bee, chicken, snail\n\nInput: shirt, elephant, cat, shark, brown\nOutput: shark, elephant, cat\n\nInput: panda, actor, sandwich, donkey, lizard\nOutput: lizard, panda, donkey\n\nInput: tortoise, bean, green, sheep, bee, taxi, jellyfish\nOutput: bee, jellyfish, sheep, tortoise\n\nInput: elephant, red, hippo, camel, helicopter\nOutput: hippo, camel, elephant\n\nThe instruction was", "metadata": { "examples_seen": "Input: hippo, car, waiter, chicken, bee, snail\nOutput: hippo, bee, chicken, snail\n\nInput: shirt, elephant, cat, shark, brown\nOutput: shark, elephant, cat\n\nInput: panda, actor, sandwich, donkey, lizard\nOutput: lizard, panda, donkey\n\nInput: tortoise, bean, green, sheep, bee, taxi, jellyfish\nOutput: bee, jellyfish, sheep, tortoise\n\nInput: elephant, red, hippo, camel, helicopter\nOutput: hippo, camel, elephant" } }, "19": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: octopus, ambulance, swan, blue, frog, gold\nOutput: frog, octopus, swan\n\nInput: blue, hat, tiger, whale, frog, zebra\nOutput: zebra, frog, whale, tiger\n\nInput: pineapple, giraffe, skirt, sheep, parrot, motorway, fly\nOutput: sheep, fly, parrot, giraffe\n\nInput: lion, zebra, glove, octopus, sausage\nOutput: lion, zebra, octopus\n\nInput: cat, penguin, camel, white, journalist\nOutput: camel, penguin, cat\n\nThe instruction was", "metadata": { "examples_seen": "Input: octopus, ambulance, swan, blue, frog, gold\nOutput: frog, octopus, swan\n\nInput: blue, hat, tiger, whale, frog, zebra\nOutput: zebra, frog, whale, tiger\n\nInput: pineapple, giraffe, skirt, sheep, parrot, motorway, fly\nOutput: sheep, fly, parrot, giraffe\n\nInput: lion, zebra, glove, octopus, sausage\nOutput: lion, zebra, octopus\n\nInput: cat, penguin, camel, white, journalist\nOutput: camel, penguin, cat" } }, "20": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: swan, rabbit, soup, octopus, fly, artist\nOutput: swan, rabbit, octopus, fly\n\nInput: dolphin, belt, parrot, dress, zebra, egg\nOutput: parrot, dolphin, zebra\n\nInput: snake, mechanic, rabbit, shark, white\nOutput: snake, shark, rabbit\n\nInput: lion, zebra, glove, octopus, sausage\nOutput: lion, zebra, octopus\n\nInput: bat, lion, belt, jeans, monkey, blue\nOutput: bat, lion, monkey\n\nThe instruction was", "metadata": { "examples_seen": "Input: swan, rabbit, soup, octopus, fly, artist\nOutput: swan, rabbit, octopus, fly\n\nInput: dolphin, belt, parrot, dress, zebra, egg\nOutput: parrot, dolphin, zebra\n\nInput: snake, mechanic, rabbit, shark, white\nOutput: snake, shark, rabbit\n\nInput: lion, zebra, glove, octopus, sausage\nOutput: lion, zebra, octopus\n\nInput: bat, lion, belt, jeans, monkey, blue\nOutput: bat, lion, monkey" } }, "21": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: green, hippo, orange, tortoise, bee, frog\nOutput: bee, hippo, tortoise, frog\n\nInput: hippo, jellyfish, panda, artist, hat, businesswoman\nOutput: jellyfish, hippo, panda\n\nInput: bee, bat, cat, jacket, onion\nOutput: bat, cat, bee\n\nInput: hat, train, yoghurt, tortoise, parrot, snake\nOutput: parrot, snake, tortoise\n\nInput: bee, zebra, dress, helicopter, butterfly, fly\nOutput: bee, zebra, fly, butterfly\n\nThe instruction was", "metadata": { "examples_seen": "Input: green, hippo, orange, tortoise, bee, frog\nOutput: bee, hippo, tortoise, frog\n\nInput: hippo, jellyfish, panda, artist, hat, businesswoman\nOutput: jellyfish, hippo, panda\n\nInput: bee, bat, cat, jacket, onion\nOutput: bat, cat, bee\n\nInput: hat, train, yoghurt, tortoise, parrot, snake\nOutput: parrot, snake, tortoise\n\nInput: bee, zebra, dress, helicopter, butterfly, fly\nOutput: bee, zebra, fly, butterfly" } }, "22": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: scarf, goat, rabbit, duck, blue\nOutput: rabbit, duck, goat\n\nInput: butterfly, dolphin, jellyfish, car, cook, yoghurt, horse\nOutput: dolphin, butterfly, horse, jellyfish\n\nInput: tortoise, rabbit, swimsuit, hat, parrot\nOutput: rabbit, tortoise, parrot\n\nInput: businessman, white, whale, pink, butterfly, octopus\nOutput: whale, butterfly, octopus\n\nInput: horse, monkey, truck, lion, car\nOutput: monkey, horse, lion\n\nThe instruction was", "metadata": { "examples_seen": "Input: scarf, goat, rabbit, duck, blue\nOutput: rabbit, duck, goat\n\nInput: butterfly, dolphin, jellyfish, car, cook, yoghurt, horse\nOutput: dolphin, butterfly, horse, jellyfish\n\nInput: tortoise, rabbit, swimsuit, hat, parrot\nOutput: rabbit, tortoise, parrot\n\nInput: businessman, white, whale, pink, butterfly, octopus\nOutput: whale, butterfly, octopus\n\nInput: horse, monkey, truck, lion, car\nOutput: monkey, horse, lion" } }, "23": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: fly, duck, cat, journalist, doctor, green\nOutput: fly, duck, cat\n\nInput: shirt, sheep, snake, penguin, ambulance\nOutput: snake, sheep, penguin\n\nInput: butterfly, engineer, monkey, dolphin, helicopter, duck\nOutput: duck, butterfly, dolphin, monkey\n\nInput: bat, chicken, designer, soup, fly, horse\nOutput: chicken, horse, bat, fly\n\nInput: bean, swan, camel, lizard, waiter, cat\nOutput: lizard, swan, cat, camel\n\nThe instruction was", "metadata": { "examples_seen": "Input: fly, duck, cat, journalist, doctor, green\nOutput: fly, duck, cat\n\nInput: shirt, sheep, snake, penguin, ambulance\nOutput: snake, sheep, penguin\n\nInput: butterfly, engineer, monkey, dolphin, helicopter, duck\nOutput: duck, butterfly, dolphin, monkey\n\nInput: bat, chicken, designer, soup, fly, horse\nOutput: chicken, horse, bat, fly\n\nInput: bean, swan, camel, lizard, waiter, cat\nOutput: lizard, swan, cat, camel" } }, "24": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: monkey, vegetable, parrot, jellyfish, sweater, mechanic\nOutput: monkey, parrot, jellyfish\n\nInput: jellyfish, brown, ambulance, mouse, parrot, octopus\nOutput: octopus, mouse, parrot, jellyfish\n\nInput: monkey, rabbit, potato, lion, engineer, yellow\nOutput: monkey, rabbit, lion\n\nInput: sheep, snake, parrot, white, pasta, gold\nOutput: sheep, parrot, snake\n\nInput: snake, businessman, hippo, actor, panda\nOutput: panda, hippo, snake\n\nThe instruction was", "metadata": { "examples_seen": "Input: monkey, vegetable, parrot, jellyfish, sweater, mechanic\nOutput: monkey, parrot, jellyfish\n\nInput: jellyfish, brown, ambulance, mouse, parrot, octopus\nOutput: octopus, mouse, parrot, jellyfish\n\nInput: monkey, rabbit, potato, lion, engineer, yellow\nOutput: monkey, rabbit, lion\n\nInput: sheep, snake, parrot, white, pasta, gold\nOutput: sheep, parrot, snake\n\nInput: snake, businessman, hippo, actor, panda\nOutput: panda, hippo, snake" } }, "25": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: burger, butterfly, goat, glove, jacket, rabbit\nOutput: butterfly, goat, rabbit\n\nInput: designer, helicopter, rabbit, zebra, bee\nOutput: bee, zebra, rabbit\n\nInput: lion, donkey, spaceship, plane, elephant, hippo\nOutput: elephant, lion, donkey, hippo\n\nInput: frog, giraffe, penguin, gray, green, butterfly, meatballs\nOutput: penguin, giraffe, frog, butterfly\n\nInput: snake, engineer, panda, horse, sock, scarf, bat\nOutput: panda, horse, snake, bat\n\nThe instruction was", "metadata": { "examples_seen": "Input: burger, butterfly, goat, glove, jacket, rabbit\nOutput: butterfly, goat, rabbit\n\nInput: designer, helicopter, rabbit, zebra, bee\nOutput: bee, zebra, rabbit\n\nInput: lion, donkey, spaceship, plane, elephant, hippo\nOutput: elephant, lion, donkey, hippo\n\nInput: frog, giraffe, penguin, gray, green, butterfly, meatballs\nOutput: penguin, giraffe, frog, butterfly\n\nInput: snake, engineer, panda, horse, sock, scarf, bat\nOutput: panda, horse, snake, bat" } }, "26": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: soup, red, snake, panda, swan\nOutput: panda, snake, swan\n\nInput: soup, chicken, fly, hippo, snail, orange, red\nOutput: hippo, snail, fly, chicken\n\nInput: teacher, camel, yellow, sheep, blue, zebra\nOutput: camel, zebra, sheep\n\nInput: burger, snail, jellyfish, plane, lizard, bread\nOutput: jellyfish, lizard, snail\n\nInput: businessman, jeans, train, whale, butterfly, horse\nOutput: whale, horse, butterfly\n\nThe instruction was", "metadata": { "examples_seen": "Input: soup, red, snake, panda, swan\nOutput: panda, snake, swan\n\nInput: soup, chicken, fly, hippo, snail, orange, red\nOutput: hippo, snail, fly, chicken\n\nInput: teacher, camel, yellow, sheep, blue, zebra\nOutput: camel, zebra, sheep\n\nInput: burger, snail, jellyfish, plane, lizard, bread\nOutput: jellyfish, lizard, snail\n\nInput: businessman, jeans, train, whale, butterfly, horse\nOutput: whale, horse, butterfly" } }, "27": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: rabbit, camel, trousers, chicken, white, apple, lion\nOutput: lion, chicken, rabbit, camel\n\nInput: lizard, motorway, artist, horse, designer, bat\nOutput: lizard, bat, horse\n\nInput: mechanic, tiger, duck, goat, hippo, dentist, ship\nOutput: goat, tiger, duck, hippo\n\nInput: goat, giraffe, car, businessman, frog\nOutput: giraffe, goat, frog\n\nInput: donkey, lizard, swan, train, ambulance\nOutput: donkey, lizard, swan\n\nThe instruction was", "metadata": { "examples_seen": "Input: rabbit, camel, trousers, chicken, white, apple, lion\nOutput: lion, chicken, rabbit, camel\n\nInput: lizard, motorway, artist, horse, designer, bat\nOutput: lizard, bat, horse\n\nInput: mechanic, tiger, duck, goat, hippo, dentist, ship\nOutput: goat, tiger, duck, hippo\n\nInput: goat, giraffe, car, businessman, frog\nOutput: giraffe, goat, frog\n\nInput: donkey, lizard, swan, train, ambulance\nOutput: donkey, lizard, swan" } }, "28": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: train, cat, goat, hippo, ambulance, engineer\nOutput: cat, hippo, goat\n\nInput: purple, lizard, ship, yellow, whale, fly, donkey\nOutput: fly, donkey, whale, lizard\n\nInput: horse, mouse, brown, lion, frog, gray\nOutput: lion, horse, mouse, frog\n\nInput: doctor, frog, monkey, hippo, mouse, mango\nOutput: frog, mouse, hippo, monkey\n\nInput: whale, taxi, snake, shoe, scarf, parrot\nOutput: whale, snake, parrot\n\nThe instruction was", "metadata": { "examples_seen": "Input: train, cat, goat, hippo, ambulance, engineer\nOutput: cat, hippo, goat\n\nInput: purple, lizard, ship, yellow, whale, fly, donkey\nOutput: fly, donkey, whale, lizard\n\nInput: horse, mouse, brown, lion, frog, gray\nOutput: lion, horse, mouse, frog\n\nInput: doctor, frog, monkey, hippo, mouse, mango\nOutput: frog, mouse, hippo, monkey\n\nInput: whale, taxi, snake, shoe, scarf, parrot\nOutput: whale, snake, parrot" } }, "29": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: snail, journalist, bat, gold, hippo\nOutput: hippo, bat, snail\n\nInput: giraffe, businesswoman, spaceship, tiger, whale, frog\nOutput: tiger, frog, giraffe, whale\n\nInput: mouse, teacher, goat, penguin, designer, engineer\nOutput: mouse, goat, penguin\n\nInput: orange, pineapple, duck, octopus, designer, zebra\nOutput: octopus, duck, zebra\n\nInput: lizard, ship, white, honey, whale, goat, cat\nOutput: goat, cat, lizard, whale\n\nThe instruction was", "metadata": { "examples_seen": "Input: snail, journalist, bat, gold, hippo\nOutput: hippo, bat, snail\n\nInput: giraffe, businesswoman, spaceship, tiger, whale, frog\nOutput: tiger, frog, giraffe, whale\n\nInput: mouse, teacher, goat, penguin, designer, engineer\nOutput: mouse, goat, penguin\n\nInput: orange, pineapple, duck, octopus, designer, zebra\nOutput: octopus, duck, zebra\n\nInput: lizard, ship, white, honey, whale, goat, cat\nOutput: goat, cat, lizard, whale" } }, "30": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: shirt, elephant, snail, swan, hat, rabbit\nOutput: elephant, swan, rabbit, snail\n\nInput: jacket, doctor, monkey, penguin, lion, train\nOutput: penguin, monkey, lion\n\nInput: car, tortoise, truck, spider, sheep\nOutput: spider, sheep, tortoise\n\nInput: fly, artist, panda, sheep, zebra, train\nOutput: fly, panda, zebra, sheep\n\nInput: frog, snake, goat, tomato, jeans, parrot, ship\nOutput: goat, snake, parrot, frog\n\nThe instruction was", "metadata": { "examples_seen": "Input: shirt, elephant, snail, swan, hat, rabbit\nOutput: elephant, swan, rabbit, snail\n\nInput: jacket, doctor, monkey, penguin, lion, train\nOutput: penguin, monkey, lion\n\nInput: car, tortoise, truck, spider, sheep\nOutput: spider, sheep, tortoise\n\nInput: fly, artist, panda, sheep, zebra, train\nOutput: fly, panda, zebra, sheep\n\nInput: frog, snake, goat, tomato, jeans, parrot, ship\nOutput: goat, snake, parrot, frog" } }, "31": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: butterfly, engineer, whale, blue, bat, snake, ambulance\nOutput: snake, whale, butterfly, bat\n\nInput: elephant, mouse, gold, ship, jellyfish, milk, snake\nOutput: mouse, snake, jellyfish, elephant\n\nInput: shirt, jellyfish, potato, lion, swan, monkey\nOutput: monkey, swan, lion, jellyfish\n\nInput: dolphin, horse, vegetable, belt, chicken, skirt, mouse\nOutput: horse, mouse, chicken, dolphin\n\nInput: yellow, rabbit, mouse, jacket, photographer, donkey\nOutput: mouse, rabbit, donkey\n\nThe instruction was", "metadata": { "examples_seen": "Input: butterfly, engineer, whale, blue, bat, snake, ambulance\nOutput: snake, whale, butterfly, bat\n\nInput: elephant, mouse, gold, ship, jellyfish, milk, snake\nOutput: mouse, snake, jellyfish, elephant\n\nInput: shirt, jellyfish, potato, lion, swan, monkey\nOutput: monkey, swan, lion, jellyfish\n\nInput: dolphin, horse, vegetable, belt, chicken, skirt, mouse\nOutput: horse, mouse, chicken, dolphin\n\nInput: yellow, rabbit, mouse, jacket, photographer, donkey\nOutput: mouse, rabbit, donkey" } }, "32": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: fly, gold, swan, rabbit, pink\nOutput: rabbit, swan, fly\n\nInput: elephant, swan, duck, helicopter, hat, panda, jacket\nOutput: panda, elephant, duck, swan\n\nInput: frog, monkey, sandwich, duck, swimsuit\nOutput: frog, duck, monkey\n\nInput: snail, horse, green, blue, butterfly, scarf\nOutput: butterfly, horse, snail\n\nInput: skirt, octopus, green, swan, lizard\nOutput: lizard, swan, octopus\n\nThe instruction was", "metadata": { "examples_seen": "Input: fly, gold, swan, rabbit, pink\nOutput: rabbit, swan, fly\n\nInput: elephant, swan, duck, helicopter, hat, panda, jacket\nOutput: panda, elephant, duck, swan\n\nInput: frog, monkey, sandwich, duck, swimsuit\nOutput: frog, duck, monkey\n\nInput: snail, horse, green, blue, butterfly, scarf\nOutput: butterfly, horse, snail\n\nInput: skirt, octopus, green, swan, lizard\nOutput: lizard, swan, octopus" } }, "33": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: goat, bat, orange, mechanic, teacher, frog, octopus\nOutput: frog, bat, octopus, goat\n\nInput: tortoise, mouse, apple, journalist, octopus, red\nOutput: octopus, mouse, tortoise\n\nInput: spaceship, cat, swan, gray, dolphin\nOutput: swan, cat, dolphin\n\nInput: yellow, trousers, elephant, dolphin, butterfly, whale\nOutput: whale, elephant, butterfly, dolphin\n\nInput: cat, orange, rabbit, horse, butter, apple\nOutput: cat, horse, rabbit\n\nThe instruction was", "metadata": { "examples_seen": "Input: goat, bat, orange, mechanic, teacher, frog, octopus\nOutput: frog, bat, octopus, goat\n\nInput: tortoise, mouse, apple, journalist, octopus, red\nOutput: octopus, mouse, tortoise\n\nInput: spaceship, cat, swan, gray, dolphin\nOutput: swan, cat, dolphin\n\nInput: yellow, trousers, elephant, dolphin, butterfly, whale\nOutput: whale, elephant, butterfly, dolphin\n\nInput: cat, orange, rabbit, horse, butter, apple\nOutput: cat, horse, rabbit" } }, "34": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bee, frog, ice cream, scarf, hippo\nOutput: hippo, bee, frog\n\nInput: hippo, car, waiter, chicken, bee, snail\nOutput: hippo, bee, chicken, snail\n\nInput: fly, tortoise, swimsuit, horse, cook, helicopter, frog\nOutput: tortoise, horse, fly, frog\n\nInput: whale, tractor, snail, engineer, bee, shirt, frog\nOutput: bee, whale, frog, snail\n\nInput: cat, fly, sock, pajamas, green, penguin\nOutput: fly, penguin, cat\n\nThe instruction was", "metadata": { "examples_seen": "Input: bee, frog, ice cream, scarf, hippo\nOutput: hippo, bee, frog\n\nInput: hippo, car, waiter, chicken, bee, snail\nOutput: hippo, bee, chicken, snail\n\nInput: fly, tortoise, swimsuit, horse, cook, helicopter, frog\nOutput: tortoise, horse, fly, frog\n\nInput: whale, tractor, snail, engineer, bee, shirt, frog\nOutput: bee, whale, frog, snail\n\nInput: cat, fly, sock, pajamas, green, penguin\nOutput: fly, penguin, cat" } }, "35": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: cat, mouse, spider, cookie, snail, blue\nOutput: spider, snail, mouse, cat\n\nInput: olives, duck, tiger, photographer, mouse\nOutput: tiger, duck, mouse\n\nInput: skirt, green, rabbit, whale, monkey, bee\nOutput: monkey, bee, whale, rabbit\n\nInput: orange, truck, sheep, snail, parrot\nOutput: snail, sheep, parrot\n\nInput: octopus, teacher, designer, zebra, spider, snail\nOutput: spider, snail, octopus, zebra\n\nThe instruction was", "metadata": { "examples_seen": "Input: cat, mouse, spider, cookie, snail, blue\nOutput: spider, snail, mouse, cat\n\nInput: olives, duck, tiger, photographer, mouse\nOutput: tiger, duck, mouse\n\nInput: skirt, green, rabbit, whale, monkey, bee\nOutput: monkey, bee, whale, rabbit\n\nInput: orange, truck, sheep, snail, parrot\nOutput: snail, sheep, parrot\n\nInput: octopus, teacher, designer, zebra, spider, snail\nOutput: spider, snail, octopus, zebra" } }, "36": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: duck, snake, lemon, tortoise, penguin, brown, pink\nOutput: snake, tortoise, penguin, duck\n\nInput: tractor, spaceship, cat, lizard, panda\nOutput: panda, cat, lizard\n\nInput: whale, elephant, donkey, businessman, tortoise, green\nOutput: tortoise, whale, donkey, elephant\n\nInput: orange, butterfly, giraffe, train, sandwich, hippo, chicken\nOutput: chicken, butterfly, giraffe, hippo\n\nInput: donkey, glove, ambulance, panda, sweater, duck\nOutput: duck, donkey, panda\n\nThe instruction was", "metadata": { "examples_seen": "Input: duck, snake, lemon, tortoise, penguin, brown, pink\nOutput: snake, tortoise, penguin, duck\n\nInput: tractor, spaceship, cat, lizard, panda\nOutput: panda, cat, lizard\n\nInput: whale, elephant, donkey, businessman, tortoise, green\nOutput: tortoise, whale, donkey, elephant\n\nInput: orange, butterfly, giraffe, train, sandwich, hippo, chicken\nOutput: chicken, butterfly, giraffe, hippo\n\nInput: donkey, glove, ambulance, panda, sweater, duck\nOutput: duck, donkey, panda" } }, "37": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: spider, glove, panda, chicken, shark, car\nOutput: panda, spider, chicken, shark\n\nInput: yoghurt, donkey, white, frog, trousers, tortoise\nOutput: donkey, tortoise, frog\n\nInput: sweater, shark, whale, bee, snake, yellow\nOutput: bee, snake, whale, shark\n\nInput: green, milk, mouse, frog, zebra\nOutput: zebra, frog, mouse\n\nInput: actor, goat, giraffe, penguin, belt\nOutput: goat, giraffe, penguin\n\nThe instruction was", "metadata": { "examples_seen": "Input: spider, glove, panda, chicken, shark, car\nOutput: panda, spider, chicken, shark\n\nInput: yoghurt, donkey, white, frog, trousers, tortoise\nOutput: donkey, tortoise, frog\n\nInput: sweater, shark, whale, bee, snake, yellow\nOutput: bee, snake, whale, shark\n\nInput: green, milk, mouse, frog, zebra\nOutput: zebra, frog, mouse\n\nInput: actor, goat, giraffe, penguin, belt\nOutput: goat, giraffe, penguin" } }, "38": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: red, bat, octopus, mouse, businesswoman, belt\nOutput: mouse, octopus, bat\n\nInput: duck, fly, butterfly, cookie, pink\nOutput: duck, butterfly, fly\n\nInput: chicken, bat, doctor, teacher, blue, dolphin\nOutput: bat, chicken, dolphin\n\nInput: helicopter, pineapple, shoe, sheep, snail, mouse, whale\nOutput: mouse, whale, sheep, snail\n\nInput: tortoise, artist, zebra, sheep, swimsuit, bat\nOutput: zebra, sheep, tortoise, bat\n\nThe instruction was", "metadata": { "examples_seen": "Input: red, bat, octopus, mouse, businesswoman, belt\nOutput: mouse, octopus, bat\n\nInput: duck, fly, butterfly, cookie, pink\nOutput: duck, butterfly, fly\n\nInput: chicken, bat, doctor, teacher, blue, dolphin\nOutput: bat, chicken, dolphin\n\nInput: helicopter, pineapple, shoe, sheep, snail, mouse, whale\nOutput: mouse, whale, sheep, snail\n\nInput: tortoise, artist, zebra, sheep, swimsuit, bat\nOutput: zebra, sheep, tortoise, bat" } }, "39": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: mango, panda, doctor, elephant, parrot, lion\nOutput: elephant, lion, parrot, panda\n\nInput: businessman, sheep, zebra, chocolate, elephant, bean\nOutput: sheep, zebra, elephant\n\nInput: pink, pasta, penguin, apple, snail, cat\nOutput: snail, penguin, cat\n\nInput: bee, sausage, panda, motorway, snake\nOutput: panda, snake, bee\n\nInput: glove, rice, yellow, elephant, rabbit, lizard\nOutput: lizard, rabbit, elephant\n\nThe instruction was", "metadata": { "examples_seen": "Input: mango, panda, doctor, elephant, parrot, lion\nOutput: elephant, lion, parrot, panda\n\nInput: businessman, sheep, zebra, chocolate, elephant, bean\nOutput: sheep, zebra, elephant\n\nInput: pink, pasta, penguin, apple, snail, cat\nOutput: snail, penguin, cat\n\nInput: bee, sausage, panda, motorway, snake\nOutput: panda, snake, bee\n\nInput: glove, rice, yellow, elephant, rabbit, lizard\nOutput: lizard, rabbit, elephant" } }, "40": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sheep, truck, rabbit, dentist, bat, shark\nOutput: rabbit, sheep, shark, bat\n\nInput: jeans, butterfly, businesswoman, panda, teacher, goat\nOutput: goat, butterfly, panda\n\nInput: snake, businessman, hippo, actor, panda\nOutput: panda, hippo, snake\n\nInput: tractor, parrot, panda, penguin, bus, motorway\nOutput: penguin, parrot, panda\n\nInput: jellyfish, potato, frog, hippo, mechanic\nOutput: hippo, frog, jellyfish\n\nThe instruction was", "metadata": { "examples_seen": "Input: sheep, truck, rabbit, dentist, bat, shark\nOutput: rabbit, sheep, shark, bat\n\nInput: jeans, butterfly, businesswoman, panda, teacher, goat\nOutput: goat, butterfly, panda\n\nInput: snake, businessman, hippo, actor, panda\nOutput: panda, hippo, snake\n\nInput: tractor, parrot, panda, penguin, bus, motorway\nOutput: penguin, parrot, panda\n\nInput: jellyfish, potato, frog, hippo, mechanic\nOutput: hippo, frog, jellyfish" } }, "41": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: journalist, frog, sweater, tiger, elephant, waiter, panda\nOutput: elephant, frog, panda, tiger\n\nInput: jellyfish, skirt, tortoise, horse, carrot, doctor, butterfly\nOutput: tortoise, butterfly, horse, jellyfish\n\nInput: snake, pajamas, horse, brown, rabbit\nOutput: snake, rabbit, horse\n\nInput: parrot, blue, swan, mouse, penguin, mechanic\nOutput: penguin, swan, parrot, mouse\n\nInput: hippo, red, sock, duck, photographer, frog\nOutput: frog, hippo, duck\n\nThe instruction was", "metadata": { "examples_seen": "Input: journalist, frog, sweater, tiger, elephant, waiter, panda\nOutput: elephant, frog, panda, tiger\n\nInput: jellyfish, skirt, tortoise, horse, carrot, doctor, butterfly\nOutput: tortoise, butterfly, horse, jellyfish\n\nInput: snake, pajamas, horse, brown, rabbit\nOutput: snake, rabbit, horse\n\nInput: parrot, blue, swan, mouse, penguin, mechanic\nOutput: penguin, swan, parrot, mouse\n\nInput: hippo, red, sock, duck, photographer, frog\nOutput: frog, hippo, duck" } }, "42": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: snail, giraffe, fly, white, dentist\nOutput: fly, snail, giraffe\n\nInput: giraffe, orange, shirt, parrot, butterfly\nOutput: giraffe, butterfly, parrot\n\nInput: yellow, shoe, fly, cat, penguin, truck\nOutput: fly, penguin, cat\n\nInput: horse, red, cat, swan, white, sheep\nOutput: sheep, cat, swan, horse\n\nInput: bat, chicken, designer, soup, fly, horse\nOutput: chicken, horse, bat, fly\n\nThe instruction was", "metadata": { "examples_seen": "Input: snail, giraffe, fly, white, dentist\nOutput: fly, snail, giraffe\n\nInput: giraffe, orange, shirt, parrot, butterfly\nOutput: giraffe, butterfly, parrot\n\nInput: yellow, shoe, fly, cat, penguin, truck\nOutput: fly, penguin, cat\n\nInput: horse, red, cat, swan, white, sheep\nOutput: sheep, cat, swan, horse\n\nInput: bat, chicken, designer, soup, fly, horse\nOutput: chicken, horse, bat, fly" } }, "43": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: donkey, panda, parrot, chocolate, ambulance, milk\nOutput: parrot, donkey, panda\n\nInput: skirt, yoghurt, spider, fly, duck, octopus\nOutput: octopus, duck, spider, fly\n\nInput: spaceship, lizard, swan, salad, ambulance, chicken\nOutput: lizard, chicken, swan\n\nInput: actor, red, tiger, lizard, horse, brown\nOutput: lizard, horse, tiger\n\nInput: rabbit, fly, monkey, mouse, green, dentist, purple\nOutput: rabbit, mouse, fly, monkey\n\nThe instruction was", "metadata": { "examples_seen": "Input: donkey, panda, parrot, chocolate, ambulance, milk\nOutput: parrot, donkey, panda\n\nInput: skirt, yoghurt, spider, fly, duck, octopus\nOutput: octopus, duck, spider, fly\n\nInput: spaceship, lizard, swan, salad, ambulance, chicken\nOutput: lizard, chicken, swan\n\nInput: actor, red, tiger, lizard, horse, brown\nOutput: lizard, horse, tiger\n\nInput: rabbit, fly, monkey, mouse, green, dentist, purple\nOutput: rabbit, mouse, fly, monkey" } }, "44": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: panda, lion, whale, tomato, ambulance\nOutput: whale, lion, panda\n\nInput: goat, butterfly, mouse, jeans, tiger, helicopter\nOutput: goat, butterfly, tiger, mouse\n\nInput: ship, octopus, pancake, lion, orange, butterfly\nOutput: lion, butterfly, octopus\n\nInput: penguin, hippo, jellyfish, dolphin, waiter, brown\nOutput: jellyfish, dolphin, penguin, hippo\n\nInput: bus, dress, chicken, elephant, fly, zebra, blue\nOutput: fly, chicken, zebra, elephant\n\nThe instruction was", "metadata": { "examples_seen": "Input: panda, lion, whale, tomato, ambulance\nOutput: whale, lion, panda\n\nInput: goat, butterfly, mouse, jeans, tiger, helicopter\nOutput: goat, butterfly, tiger, mouse\n\nInput: ship, octopus, pancake, lion, orange, butterfly\nOutput: lion, butterfly, octopus\n\nInput: penguin, hippo, jellyfish, dolphin, waiter, brown\nOutput: jellyfish, dolphin, penguin, hippo\n\nInput: bus, dress, chicken, elephant, fly, zebra, blue\nOutput: fly, chicken, zebra, elephant" } }, "45": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: panda, ship, plane, tiger, horse, orange\nOutput: tiger, horse, panda\n\nInput: goat, red, frog, zebra, tortoise, honey, orange\nOutput: goat, tortoise, frog, zebra\n\nInput: butterfly, octopus, train, fly, giraffe, dress\nOutput: octopus, giraffe, butterfly, fly\n\nInput: elephant, zebra, engineer, designer, mango, snake\nOutput: zebra, elephant, snake\n\nInput: skirt, cook, horse, spaceship, donkey, octopus\nOutput: octopus, donkey, horse\n\nThe instruction was", "metadata": { "examples_seen": "Input: panda, ship, plane, tiger, horse, orange\nOutput: tiger, horse, panda\n\nInput: goat, red, frog, zebra, tortoise, honey, orange\nOutput: goat, tortoise, frog, zebra\n\nInput: butterfly, octopus, train, fly, giraffe, dress\nOutput: octopus, giraffe, butterfly, fly\n\nInput: elephant, zebra, engineer, designer, mango, snake\nOutput: zebra, elephant, snake\n\nInput: skirt, cook, horse, spaceship, donkey, octopus\nOutput: octopus, donkey, horse" } }, "46": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: tiger, yellow, lion, milk, hippo\nOutput: hippo, tiger, lion\n\nInput: zebra, jellyfish, elephant, brown, hat, cat, yellow\nOutput: jellyfish, elephant, cat, zebra\n\nInput: goat, panda, parrot, ambulance, businesswoman, gold\nOutput: panda, goat, parrot\n\nInput: businesswoman, rabbit, trousers, camel, teacher, parrot\nOutput: parrot, camel, rabbit\n\nInput: swan, sheep, doctor, parrot, orange, blue\nOutput: sheep, parrot, swan\n\nThe instruction was", "metadata": { "examples_seen": "Input: tiger, yellow, lion, milk, hippo\nOutput: hippo, tiger, lion\n\nInput: zebra, jellyfish, elephant, brown, hat, cat, yellow\nOutput: jellyfish, elephant, cat, zebra\n\nInput: goat, panda, parrot, ambulance, businesswoman, gold\nOutput: panda, goat, parrot\n\nInput: businesswoman, rabbit, trousers, camel, teacher, parrot\nOutput: parrot, camel, rabbit\n\nInput: swan, sheep, doctor, parrot, orange, blue\nOutput: sheep, parrot, swan" } }, "47": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: camel, frog, tractor, actor, panda\nOutput: panda, frog, camel\n\nInput: panda, bee, sweater, sheep, tortoise, businessman\nOutput: sheep, bee, panda, tortoise\n\nInput: duck, butterfly, egg, giraffe, designer, goat\nOutput: goat, duck, butterfly, giraffe\n\nInput: donkey, burger, chocolate, scarf, mouse, camel, tiger\nOutput: donkey, camel, tiger, mouse\n\nInput: snake, whale, lizard, actor, pea\nOutput: snake, lizard, whale\n\nThe instruction was", "metadata": { "examples_seen": "Input: camel, frog, tractor, actor, panda\nOutput: panda, frog, camel\n\nInput: panda, bee, sweater, sheep, tortoise, businessman\nOutput: sheep, bee, panda, tortoise\n\nInput: duck, butterfly, egg, giraffe, designer, goat\nOutput: goat, duck, butterfly, giraffe\n\nInput: donkey, burger, chocolate, scarf, mouse, camel, tiger\nOutput: donkey, camel, tiger, mouse\n\nInput: snake, whale, lizard, actor, pea\nOutput: snake, lizard, whale" } }, "48": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: butter, horse, camel, businessman, shark, honey, giraffe\nOutput: horse, giraffe, shark, camel\n\nInput: brown, elephant, tiger, ice cream, cook, tortoise\nOutput: tiger, tortoise, elephant\n\nInput: red, yellow, goat, parrot, designer, tiger\nOutput: tiger, parrot, goat\n\nInput: mouse, cat, gold, yellow, businesswoman, penguin\nOutput: penguin, cat, mouse\n\nInput: lion, donkey, jacket, yellow, mouse, duck\nOutput: lion, donkey, mouse, duck\n\nThe instruction was", "metadata": { "examples_seen": "Input: butter, horse, camel, businessman, shark, honey, giraffe\nOutput: horse, giraffe, shark, camel\n\nInput: brown, elephant, tiger, ice cream, cook, tortoise\nOutput: tiger, tortoise, elephant\n\nInput: red, yellow, goat, parrot, designer, tiger\nOutput: tiger, parrot, goat\n\nInput: mouse, cat, gold, yellow, businesswoman, penguin\nOutput: penguin, cat, mouse\n\nInput: lion, donkey, jacket, yellow, mouse, duck\nOutput: lion, donkey, mouse, duck" } }, "49": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bus, swan, panda, dentist, chicken\nOutput: swan, chicken, panda\n\nInput: camel, lion, doctor, green, giraffe, elephant\nOutput: camel, giraffe, lion, elephant\n\nInput: vegetable, butter, pink, bee, elephant, monkey, cat\nOutput: monkey, elephant, cat, bee\n\nInput: photographer, parrot, elephant, teacher, kiwi, hippo, whale\nOutput: hippo, parrot, whale, elephant\n\nInput: goat, tortoise, shark, train, ship, hippo\nOutput: goat, hippo, tortoise, shark\n\nThe instruction was", "metadata": { "examples_seen": "Input: bus, swan, panda, dentist, chicken\nOutput: swan, chicken, panda\n\nInput: camel, lion, doctor, green, giraffe, elephant\nOutput: camel, giraffe, lion, elephant\n\nInput: vegetable, butter, pink, bee, elephant, monkey, cat\nOutput: monkey, elephant, cat, bee\n\nInput: photographer, parrot, elephant, teacher, kiwi, hippo, whale\nOutput: hippo, parrot, whale, elephant\n\nInput: goat, tortoise, shark, train, ship, hippo\nOutput: goat, hippo, tortoise, shark" } }, "50": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: hippo, designer, snail, lion, tiger, hat\nOutput: lion, snail, tiger, hippo\n\nInput: elephant, tractor, panda, zebra, rabbit, train, yellow\nOutput: rabbit, elephant, zebra, panda\n\nInput: duck, train, butterfly, dentist, scarf, bee, zebra\nOutput: butterfly, bee, zebra, duck\n\nInput: sock, cat, hippo, spider, nurse, train\nOutput: hippo, spider, cat\n\nInput: red, white, elephant, jacket, horse, donkey, swan\nOutput: elephant, swan, donkey, horse\n\nThe instruction was", "metadata": { "examples_seen": "Input: hippo, designer, snail, lion, tiger, hat\nOutput: lion, snail, tiger, hippo\n\nInput: elephant, tractor, panda, zebra, rabbit, train, yellow\nOutput: rabbit, elephant, zebra, panda\n\nInput: duck, train, butterfly, dentist, scarf, bee, zebra\nOutput: butterfly, bee, zebra, duck\n\nInput: sock, cat, hippo, spider, nurse, train\nOutput: hippo, spider, cat\n\nInput: red, white, elephant, jacket, horse, donkey, swan\nOutput: elephant, swan, donkey, horse" } }, "51": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: green, helicopter, panda, chicken, butterfly\nOutput: butterfly, chicken, panda\n\nInput: taxi, yellow, giraffe, ice cream, chicken, mouse, donkey\nOutput: donkey, mouse, chicken, giraffe\n\nInput: white, elephant, mouse, sheep, lion, hat\nOutput: elephant, sheep, mouse, lion\n\nInput: white, butterfly, donkey, bee, whale, brown, yellow\nOutput: donkey, bee, butterfly, whale\n\nInput: glove, jeans, zebra, whale, gray, hippo\nOutput: whale, zebra, hippo\n\nThe instruction was", "metadata": { "examples_seen": "Input: green, helicopter, panda, chicken, butterfly\nOutput: butterfly, chicken, panda\n\nInput: taxi, yellow, giraffe, ice cream, chicken, mouse, donkey\nOutput: donkey, mouse, chicken, giraffe\n\nInput: white, elephant, mouse, sheep, lion, hat\nOutput: elephant, sheep, mouse, lion\n\nInput: white, butterfly, donkey, bee, whale, brown, yellow\nOutput: donkey, bee, butterfly, whale\n\nInput: glove, jeans, zebra, whale, gray, hippo\nOutput: whale, zebra, hippo" } }, "52": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sausage, car, cat, parrot, truck, elephant, snail\nOutput: cat, parrot, snail, elephant\n\nInput: orange, frog, pasta, monkey, spider\nOutput: monkey, spider, frog\n\nInput: sock, giraffe, parrot, truck, snail, skirt\nOutput: snail, parrot, giraffe\n\nInput: parrot, pear, pineapple, shark, horse, spider, cook\nOutput: shark, parrot, spider, horse\n\nInput: jellyfish, penguin, tortoise, belt, doctor, spaceship\nOutput: tortoise, penguin, jellyfish\n\nThe instruction was", "metadata": { "examples_seen": "Input: sausage, car, cat, parrot, truck, elephant, snail\nOutput: cat, parrot, snail, elephant\n\nInput: orange, frog, pasta, monkey, spider\nOutput: monkey, spider, frog\n\nInput: sock, giraffe, parrot, truck, snail, skirt\nOutput: snail, parrot, giraffe\n\nInput: parrot, pear, pineapple, shark, horse, spider, cook\nOutput: shark, parrot, spider, horse\n\nInput: jellyfish, penguin, tortoise, belt, doctor, spaceship\nOutput: tortoise, penguin, jellyfish" } }, "53": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pajamas, dolphin, shark, tomato, ship, giraffe, whale\nOutput: whale, giraffe, shark, dolphin\n\nInput: tiger, green, hat, zebra, tortoise, lizard\nOutput: zebra, tortoise, tiger, lizard\n\nInput: swan, apple, pink, butterfly, bat, jellyfish\nOutput: butterfly, bat, jellyfish, swan\n\nInput: blue, rabbit, dolphin, sheep, actor, lion\nOutput: dolphin, sheep, lion, rabbit\n\nInput: cook, truck, frog, octopus, gold, bee\nOutput: bee, octopus, frog\n\nThe instruction was", "metadata": { "examples_seen": "Input: pajamas, dolphin, shark, tomato, ship, giraffe, whale\nOutput: whale, giraffe, shark, dolphin\n\nInput: tiger, green, hat, zebra, tortoise, lizard\nOutput: zebra, tortoise, tiger, lizard\n\nInput: swan, apple, pink, butterfly, bat, jellyfish\nOutput: butterfly, bat, jellyfish, swan\n\nInput: blue, rabbit, dolphin, sheep, actor, lion\nOutput: dolphin, sheep, lion, rabbit\n\nInput: cook, truck, frog, octopus, gold, bee\nOutput: bee, octopus, frog" } }, "54": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: lion, fly, burger, nurse, bat, spaceship\nOutput: lion, fly, bat\n\nInput: pink, engineer, hippo, zebra, snake\nOutput: hippo, zebra, snake\n\nInput: taxi, rabbit, spider, orange, zebra, shark, belt\nOutput: zebra, rabbit, shark, spider\n\nInput: sock, pear, octopus, frog, snake, sheep\nOutput: sheep, snake, frog, octopus\n\nInput: spaceship, white, swan, dolphin, snake, camel\nOutput: dolphin, camel, snake, swan\n\nThe instruction was", "metadata": { "examples_seen": "Input: lion, fly, burger, nurse, bat, spaceship\nOutput: lion, fly, bat\n\nInput: pink, engineer, hippo, zebra, snake\nOutput: hippo, zebra, snake\n\nInput: taxi, rabbit, spider, orange, zebra, shark, belt\nOutput: zebra, rabbit, shark, spider\n\nInput: sock, pear, octopus, frog, snake, sheep\nOutput: sheep, snake, frog, octopus\n\nInput: spaceship, white, swan, dolphin, snake, camel\nOutput: dolphin, camel, snake, swan" } }, "55": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: horse, chicken, bus, shirt, lion, bee\nOutput: bee, chicken, horse, lion\n\nInput: hippo, duck, truck, fly, goat, doctor\nOutput: fly, duck, hippo, goat\n\nInput: zebra, gold, photographer, watermelon, bee, hippo, giraffe\nOutput: hippo, giraffe, zebra, bee\n\nInput: photographer, whale, sweater, hippo, shark\nOutput: whale, shark, hippo\n\nInput: train, octopus, businessman, tortoise, spider\nOutput: tortoise, spider, octopus\n\nThe instruction was", "metadata": { "examples_seen": "Input: horse, chicken, bus, shirt, lion, bee\nOutput: bee, chicken, horse, lion\n\nInput: hippo, duck, truck, fly, goat, doctor\nOutput: fly, duck, hippo, goat\n\nInput: zebra, gold, photographer, watermelon, bee, hippo, giraffe\nOutput: hippo, giraffe, zebra, bee\n\nInput: photographer, whale, sweater, hippo, shark\nOutput: whale, shark, hippo\n\nInput: train, octopus, businessman, tortoise, spider\nOutput: tortoise, spider, octopus" } }, "56": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bat, butterfly, white, glove, chicken, panda, shoe\nOutput: bat, chicken, panda, butterfly\n\nInput: snake, red, goat, lion, engineer, train, jellyfish\nOutput: jellyfish, snake, lion, goat\n\nInput: mouse, train, lemon, tortoise, snail, zebra\nOutput: zebra, snail, mouse, tortoise\n\nInput: tiger, candy, jellyfish, red, cat\nOutput: jellyfish, tiger, cat\n\nInput: nurse, monkey, meatballs, dolphin, sausage, duck\nOutput: duck, dolphin, monkey\n\nThe instruction was", "metadata": { "examples_seen": "Input: bat, butterfly, white, glove, chicken, panda, shoe\nOutput: bat, chicken, panda, butterfly\n\nInput: snake, red, goat, lion, engineer, train, jellyfish\nOutput: jellyfish, snake, lion, goat\n\nInput: mouse, train, lemon, tortoise, snail, zebra\nOutput: zebra, snail, mouse, tortoise\n\nInput: tiger, candy, jellyfish, red, cat\nOutput: jellyfish, tiger, cat\n\nInput: nurse, monkey, meatballs, dolphin, sausage, duck\nOutput: duck, dolphin, monkey" } }, "57": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: jellyfish, zebra, cat, sausage, onion\nOutput: cat, zebra, jellyfish\n\nInput: sheep, whale, swimsuit, bus, lion\nOutput: sheep, lion, whale\n\nInput: rabbit, banana, camel, panda, shirt\nOutput: rabbit, camel, panda\n\nInput: snake, designer, fly, butterfly, truck, monkey\nOutput: butterfly, snake, fly, monkey\n\nInput: chicken, pajamas, designer, zebra, lion\nOutput: lion, chicken, zebra\n\nThe instruction was", "metadata": { "examples_seen": "Input: jellyfish, zebra, cat, sausage, onion\nOutput: cat, zebra, jellyfish\n\nInput: sheep, whale, swimsuit, bus, lion\nOutput: sheep, lion, whale\n\nInput: rabbit, banana, camel, panda, shirt\nOutput: rabbit, camel, panda\n\nInput: snake, designer, fly, butterfly, truck, monkey\nOutput: butterfly, snake, fly, monkey\n\nInput: chicken, pajamas, designer, zebra, lion\nOutput: lion, chicken, zebra" } }, "58": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: skirt, jellyfish, swimsuit, octopus, mechanic, snake\nOutput: jellyfish, snake, octopus\n\nInput: swimsuit, chicken, kiwi, goat, snake\nOutput: snake, chicken, goat\n\nInput: red, duck, lion, zebra, pink, cat, bus\nOutput: duck, lion, cat, zebra\n\nInput: swan, rabbit, soup, octopus, fly, artist\nOutput: swan, rabbit, octopus, fly\n\nInput: watermelon, shark, hippo, swan, motorway, snake, cook\nOutput: swan, hippo, shark, snake\n\nThe instruction was", "metadata": { "examples_seen": "Input: skirt, jellyfish, swimsuit, octopus, mechanic, snake\nOutput: jellyfish, snake, octopus\n\nInput: swimsuit, chicken, kiwi, goat, snake\nOutput: snake, chicken, goat\n\nInput: red, duck, lion, zebra, pink, cat, bus\nOutput: duck, lion, cat, zebra\n\nInput: swan, rabbit, soup, octopus, fly, artist\nOutput: swan, rabbit, octopus, fly\n\nInput: watermelon, shark, hippo, swan, motorway, snake, cook\nOutput: swan, hippo, shark, snake" } }, "59": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: chicken, giraffe, snake, orange, actor\nOutput: giraffe, snake, chicken\n\nInput: egg, snake, monkey, banana, donkey, cat, gold\nOutput: cat, snake, donkey, monkey\n\nInput: swan, train, bee, elephant, nurse\nOutput: bee, elephant, swan\n\nInput: engineer, monkey, doctor, penguin, egg, lizard, fly\nOutput: penguin, monkey, lizard, fly\n\nInput: penguin, hippo, whale, ship, goat, trousers\nOutput: whale, goat, penguin, hippo\n\nThe instruction was", "metadata": { "examples_seen": "Input: chicken, giraffe, snake, orange, actor\nOutput: giraffe, snake, chicken\n\nInput: egg, snake, monkey, banana, donkey, cat, gold\nOutput: cat, snake, donkey, monkey\n\nInput: swan, train, bee, elephant, nurse\nOutput: bee, elephant, swan\n\nInput: engineer, monkey, doctor, penguin, egg, lizard, fly\nOutput: penguin, monkey, lizard, fly\n\nInput: penguin, hippo, whale, ship, goat, trousers\nOutput: whale, goat, penguin, hippo" } }, "60": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ambulance, ice cream, giraffe, dentist, elephant, shark\nOutput: giraffe, elephant, shark\n\nInput: skirt, cook, horse, spaceship, donkey, octopus\nOutput: octopus, donkey, horse\n\nInput: lizard, red, duck, goat, truck\nOutput: goat, lizard, duck\n\nInput: sheep, shoe, glove, goat, cat\nOutput: sheep, goat, cat\n\nInput: mouse, sweater, honey, cat, sheep\nOutput: sheep, mouse, cat\n\nThe instruction was", "metadata": { "examples_seen": "Input: ambulance, ice cream, giraffe, dentist, elephant, shark\nOutput: giraffe, elephant, shark\n\nInput: skirt, cook, horse, spaceship, donkey, octopus\nOutput: octopus, donkey, horse\n\nInput: lizard, red, duck, goat, truck\nOutput: goat, lizard, duck\n\nInput: sheep, shoe, glove, goat, cat\nOutput: sheep, goat, cat\n\nInput: mouse, sweater, honey, cat, sheep\nOutput: sheep, mouse, cat" } }, "61": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: tiger, elephant, fly, red, actor, penguin\nOutput: elephant, fly, penguin, tiger\n\nInput: camel, gold, mouse, penguin, green, donkey, banana\nOutput: donkey, penguin, mouse, camel\n\nInput: sheep, pear, dress, horse, chicken, monkey\nOutput: monkey, horse, sheep, chicken\n\nInput: cat, penguin, vegetable, teacher, chicken, motorway\nOutput: cat, chicken, penguin\n\nInput: train, ambulance, snail, penguin, tortoise\nOutput: snail, tortoise, penguin\n\nThe instruction was", "metadata": { "examples_seen": "Input: tiger, elephant, fly, red, actor, penguin\nOutput: elephant, fly, penguin, tiger\n\nInput: camel, gold, mouse, penguin, green, donkey, banana\nOutput: donkey, penguin, mouse, camel\n\nInput: sheep, pear, dress, horse, chicken, monkey\nOutput: monkey, horse, sheep, chicken\n\nInput: cat, penguin, vegetable, teacher, chicken, motorway\nOutput: cat, chicken, penguin\n\nInput: train, ambulance, snail, penguin, tortoise\nOutput: snail, tortoise, penguin" } }, "62": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: shoe, horse, milk, tiger, bat, green\nOutput: horse, bat, tiger\n\nInput: goat, rabbit, green, penguin, ship\nOutput: goat, rabbit, penguin\n\nInput: bee, milk, dolphin, chicken, potato, camel\nOutput: dolphin, camel, bee, chicken\n\nInput: glove, cat, spaceship, duck, swan, panda, potato\nOutput: panda, duck, swan, cat\n\nInput: bee, elephant, hat, waiter, whale\nOutput: bee, whale, elephant\n\nThe instruction was", "metadata": { "examples_seen": "Input: shoe, horse, milk, tiger, bat, green\nOutput: horse, bat, tiger\n\nInput: goat, rabbit, green, penguin, ship\nOutput: goat, rabbit, penguin\n\nInput: bee, milk, dolphin, chicken, potato, camel\nOutput: dolphin, camel, bee, chicken\n\nInput: glove, cat, spaceship, duck, swan, panda, potato\nOutput: panda, duck, swan, cat\n\nInput: bee, elephant, hat, waiter, whale\nOutput: bee, whale, elephant" } }, "63": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bee, bread, tractor, soup, monkey, penguin, mouse\nOutput: bee, mouse, penguin, monkey\n\nInput: blue, lizard, cat, pajamas, olives, tiger, jellyfish\nOutput: lizard, jellyfish, cat, tiger\n\nInput: engineer, butterfly, panda, yellow, bat, cat\nOutput: panda, butterfly, cat, bat\n\nInput: businessman, bat, green, mouse, whale, onion, shark\nOutput: shark, whale, mouse, bat\n\nInput: bee, cookie, truck, horse, cook, tiger\nOutput: tiger, horse, bee\n\nThe instruction was", "metadata": { "examples_seen": "Input: bee, bread, tractor, soup, monkey, penguin, mouse\nOutput: bee, mouse, penguin, monkey\n\nInput: blue, lizard, cat, pajamas, olives, tiger, jellyfish\nOutput: lizard, jellyfish, cat, tiger\n\nInput: engineer, butterfly, panda, yellow, bat, cat\nOutput: panda, butterfly, cat, bat\n\nInput: businessman, bat, green, mouse, whale, onion, shark\nOutput: shark, whale, mouse, bat\n\nInput: bee, cookie, truck, horse, cook, tiger\nOutput: tiger, horse, bee" } }, "64": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: spider, penguin, shoe, giraffe, sweater, burger\nOutput: spider, penguin, giraffe\n\nInput: cat, spider, white, car, plane, monkey, lizard\nOutput: monkey, cat, lizard, spider\n\nInput: frog, donkey, horse, pasta, rice, potato\nOutput: donkey, horse, frog\n\nInput: fly, spider, cookie, carrot, panda\nOutput: fly, spider, panda\n\nInput: photographer, parrot, elephant, teacher, kiwi, hippo, whale\nOutput: hippo, parrot, whale, elephant\n\nThe instruction was", "metadata": { "examples_seen": "Input: spider, penguin, shoe, giraffe, sweater, burger\nOutput: spider, penguin, giraffe\n\nInput: cat, spider, white, car, plane, monkey, lizard\nOutput: monkey, cat, lizard, spider\n\nInput: frog, donkey, horse, pasta, rice, potato\nOutput: donkey, horse, frog\n\nInput: fly, spider, cookie, carrot, panda\nOutput: fly, spider, panda\n\nInput: photographer, parrot, elephant, teacher, kiwi, hippo, whale\nOutput: hippo, parrot, whale, elephant" } }, "65": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: fly, swan, shark, scarf, hat, purple\nOutput: fly, swan, shark\n\nInput: hat, lizard, jacket, bat, snail, spider\nOutput: snail, bat, lizard, spider\n\nInput: swan, artist, cat, sheep, parrot, nurse, scarf\nOutput: cat, parrot, swan, sheep\n\nInput: salad, orange, parrot, octopus, giraffe, lion\nOutput: giraffe, lion, octopus, parrot\n\nInput: monkey, giraffe, train, bee, elephant, pajamas\nOutput: elephant, bee, giraffe, monkey\n\nThe instruction was", "metadata": { "examples_seen": "Input: fly, swan, shark, scarf, hat, purple\nOutput: fly, swan, shark\n\nInput: hat, lizard, jacket, bat, snail, spider\nOutput: snail, bat, lizard, spider\n\nInput: swan, artist, cat, sheep, parrot, nurse, scarf\nOutput: cat, parrot, swan, sheep\n\nInput: salad, orange, parrot, octopus, giraffe, lion\nOutput: giraffe, lion, octopus, parrot\n\nInput: monkey, giraffe, train, bee, elephant, pajamas\nOutput: elephant, bee, giraffe, monkey" } }, "66": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: whale, gold, penguin, dentist, jellyfish, actor\nOutput: jellyfish, whale, penguin\n\nInput: frog, zebra, doctor, rabbit, plane, waiter, fly\nOutput: zebra, frog, fly, rabbit\n\nInput: camel, chicken, sheep, white, waiter\nOutput: sheep, camel, chicken\n\nInput: bat, taxi, white, sheep, goat, parrot\nOutput: bat, sheep, parrot, goat\n\nInput: truck, dolphin, train, goat, lion\nOutput: dolphin, lion, goat\n\nThe instruction was", "metadata": { "examples_seen": "Input: whale, gold, penguin, dentist, jellyfish, actor\nOutput: jellyfish, whale, penguin\n\nInput: frog, zebra, doctor, rabbit, plane, waiter, fly\nOutput: zebra, frog, fly, rabbit\n\nInput: camel, chicken, sheep, white, waiter\nOutput: sheep, camel, chicken\n\nInput: bat, taxi, white, sheep, goat, parrot\nOutput: bat, sheep, parrot, goat\n\nInput: truck, dolphin, train, goat, lion\nOutput: dolphin, lion, goat" } }, "67": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: spider, frog, apple, bat, swimsuit\nOutput: spider, frog, bat\n\nInput: glove, duck, butterfly, truck, penguin, bee\nOutput: butterfly, penguin, duck, bee\n\nInput: zebra, cat, pajamas, artist, rabbit\nOutput: rabbit, zebra, cat\n\nInput: butterfly, horse, businesswoman, duck, green, glove, lizard\nOutput: butterfly, lizard, duck, horse\n\nInput: green, whale, businessman, duck, donkey\nOutput: duck, donkey, whale\n\nThe instruction was", "metadata": { "examples_seen": "Input: spider, frog, apple, bat, swimsuit\nOutput: spider, frog, bat\n\nInput: glove, duck, butterfly, truck, penguin, bee\nOutput: butterfly, penguin, duck, bee\n\nInput: zebra, cat, pajamas, artist, rabbit\nOutput: rabbit, zebra, cat\n\nInput: butterfly, horse, businesswoman, duck, green, glove, lizard\nOutput: butterfly, lizard, duck, horse\n\nInput: green, whale, businessman, duck, donkey\nOutput: duck, donkey, whale" } }, "68": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: parrot, truck, waiter, bus, tortoise, snake\nOutput: parrot, tortoise, snake\n\nInput: lion, taxi, parrot, green, glove, dolphin\nOutput: dolphin, lion, parrot\n\nInput: engineer, cook, fly, bee, blue, jellyfish\nOutput: fly, jellyfish, bee\n\nInput: fly, swan, shark, scarf, hat, purple\nOutput: fly, swan, shark\n\nInput: hat, lizard, mango, zebra, penguin, taxi, bee\nOutput: zebra, penguin, lizard, bee\n\nThe instruction was", "metadata": { "examples_seen": "Input: parrot, truck, waiter, bus, tortoise, snake\nOutput: parrot, tortoise, snake\n\nInput: lion, taxi, parrot, green, glove, dolphin\nOutput: dolphin, lion, parrot\n\nInput: engineer, cook, fly, bee, blue, jellyfish\nOutput: fly, jellyfish, bee\n\nInput: fly, swan, shark, scarf, hat, purple\nOutput: fly, swan, shark\n\nInput: hat, lizard, mango, zebra, penguin, taxi, bee\nOutput: zebra, penguin, lizard, bee" } }, "69": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: tortoise, parrot, yellow, lizard, soup, red\nOutput: parrot, tortoise, lizard\n\nInput: teacher, designer, panda, cat, giraffe, taxi, penguin\nOutput: penguin, giraffe, panda, cat\n\nInput: frog, shark, helicopter, swimsuit, rabbit, horse\nOutput: horse, shark, rabbit, frog\n\nInput: fly, purple, watermelon, cat, donkey, snail\nOutput: snail, cat, fly, donkey\n\nInput: gray, cookie, butterfly, frog, goat\nOutput: goat, butterfly, frog\n\nThe instruction was", "metadata": { "examples_seen": "Input: tortoise, parrot, yellow, lizard, soup, red\nOutput: parrot, tortoise, lizard\n\nInput: teacher, designer, panda, cat, giraffe, taxi, penguin\nOutput: penguin, giraffe, panda, cat\n\nInput: frog, shark, helicopter, swimsuit, rabbit, horse\nOutput: horse, shark, rabbit, frog\n\nInput: fly, purple, watermelon, cat, donkey, snail\nOutput: snail, cat, fly, donkey\n\nInput: gray, cookie, butterfly, frog, goat\nOutput: goat, butterfly, frog" } }, "70": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: belt, hat, sheep, dolphin, cat, jellyfish\nOutput: jellyfish, dolphin, cat, sheep\n\nInput: ambulance, tortoise, lion, mechanic, shark, doctor\nOutput: tortoise, lion, shark\n\nInput: hippo, bus, gray, panda, parrot\nOutput: hippo, panda, parrot\n\nInput: octopus, hippo, bee, ambulance, bus, jellyfish\nOutput: bee, hippo, octopus, jellyfish\n\nInput: parrot, frog, lizard, white, fly, plane, dentist\nOutput: lizard, parrot, frog, fly\n\nThe instruction was", "metadata": { "examples_seen": "Input: belt, hat, sheep, dolphin, cat, jellyfish\nOutput: jellyfish, dolphin, cat, sheep\n\nInput: ambulance, tortoise, lion, mechanic, shark, doctor\nOutput: tortoise, lion, shark\n\nInput: hippo, bus, gray, panda, parrot\nOutput: hippo, panda, parrot\n\nInput: octopus, hippo, bee, ambulance, bus, jellyfish\nOutput: bee, hippo, octopus, jellyfish\n\nInput: parrot, frog, lizard, white, fly, plane, dentist\nOutput: lizard, parrot, frog, fly" } }, "71": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: lizard, motorway, artist, horse, designer, bat\nOutput: lizard, bat, horse\n\nInput: duck, shirt, goat, bat, spaceship, sheep, sausage\nOutput: goat, duck, bat, sheep\n\nInput: zebra, elephant, artist, giraffe, ambulance, hat, whale\nOutput: elephant, zebra, whale, giraffe\n\nInput: designer, helicopter, rabbit, zebra, bee\nOutput: bee, zebra, rabbit\n\nInput: train, sheep, snail, gray, donkey, rabbit\nOutput: sheep, donkey, snail, rabbit\n\nThe instruction was", "metadata": { "examples_seen": "Input: lizard, motorway, artist, horse, designer, bat\nOutput: lizard, bat, horse\n\nInput: duck, shirt, goat, bat, spaceship, sheep, sausage\nOutput: goat, duck, bat, sheep\n\nInput: zebra, elephant, artist, giraffe, ambulance, hat, whale\nOutput: elephant, zebra, whale, giraffe\n\nInput: designer, helicopter, rabbit, zebra, bee\nOutput: bee, zebra, rabbit\n\nInput: train, sheep, snail, gray, donkey, rabbit\nOutput: sheep, donkey, snail, rabbit" } }, "72": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: belt, camel, salad, penguin, fly\nOutput: fly, penguin, camel\n\nInput: mechanic, giraffe, bat, spaceship, hippo\nOutput: bat, giraffe, hippo\n\nInput: lizard, cat, train, bat, pasta, monkey\nOutput: bat, cat, monkey, lizard\n\nInput: swan, belt, donkey, duck, fly, yellow\nOutput: donkey, fly, swan, duck\n\nInput: gray, rabbit, spider, plane, snake, penguin\nOutput: rabbit, spider, penguin, snake\n\nThe instruction was", "metadata": { "examples_seen": "Input: belt, camel, salad, penguin, fly\nOutput: fly, penguin, camel\n\nInput: mechanic, giraffe, bat, spaceship, hippo\nOutput: bat, giraffe, hippo\n\nInput: lizard, cat, train, bat, pasta, monkey\nOutput: bat, cat, monkey, lizard\n\nInput: swan, belt, donkey, duck, fly, yellow\nOutput: donkey, fly, swan, duck\n\nInput: gray, rabbit, spider, plane, snake, penguin\nOutput: rabbit, spider, penguin, snake" } }, "73": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: lizard, swan, goat, elephant, salad, butter\nOutput: lizard, swan, elephant, goat\n\nInput: blue, sheep, octopus, camel, ambulance, doctor\nOutput: sheep, octopus, camel\n\nInput: doctor, tractor, frog, trousers, hippo, panda\nOutput: panda, hippo, frog\n\nInput: butterfly, octopus, train, fly, giraffe, dress\nOutput: octopus, giraffe, butterfly, fly\n\nInput: duck, shirt, bus, gray, hippo, octopus, lion\nOutput: duck, lion, hippo, octopus\n\nThe instruction was", "metadata": { "examples_seen": "Input: lizard, swan, goat, elephant, salad, butter\nOutput: lizard, swan, elephant, goat\n\nInput: blue, sheep, octopus, camel, ambulance, doctor\nOutput: sheep, octopus, camel\n\nInput: doctor, tractor, frog, trousers, hippo, panda\nOutput: panda, hippo, frog\n\nInput: butterfly, octopus, train, fly, giraffe, dress\nOutput: octopus, giraffe, butterfly, fly\n\nInput: duck, shirt, bus, gray, hippo, octopus, lion\nOutput: duck, lion, hippo, octopus" } }, "74": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: frog, businessman, car, zebra, donkey, purple\nOutput: zebra, donkey, frog\n\nInput: cat, lizard, pink, motorway, camel, bat\nOutput: camel, lizard, cat, bat\n\nInput: artist, sheep, camel, bee, businesswoman, butterfly, waiter\nOutput: sheep, bee, butterfly, camel\n\nInput: shark, sheep, tiger, businessman, actor\nOutput: shark, sheep, tiger\n\nInput: olives, ship, donkey, bat, frog\nOutput: bat, frog, donkey\n\nThe instruction was", "metadata": { "examples_seen": "Input: frog, businessman, car, zebra, donkey, purple\nOutput: zebra, donkey, frog\n\nInput: cat, lizard, pink, motorway, camel, bat\nOutput: camel, lizard, cat, bat\n\nInput: artist, sheep, camel, bee, businesswoman, butterfly, waiter\nOutput: sheep, bee, butterfly, camel\n\nInput: shark, sheep, tiger, businessman, actor\nOutput: shark, sheep, tiger\n\nInput: olives, ship, donkey, bat, frog\nOutput: bat, frog, donkey" } }, "75": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: duck, tortoise, horse, honey, taxi, artist\nOutput: horse, tortoise, duck\n\nInput: goat, teacher, actor, camel, cat, orange, mouse\nOutput: camel, mouse, cat, goat\n\nInput: penguin, rice, camel, mango, brown, octopus\nOutput: camel, penguin, octopus\n\nInput: belt, chicken, helicopter, tiger, rabbit\nOutput: rabbit, chicken, tiger\n\nInput: pajamas, dolphin, shark, tomato, ship, giraffe, whale\nOutput: whale, giraffe, shark, dolphin\n\nThe instruction was", "metadata": { "examples_seen": "Input: duck, tortoise, horse, honey, taxi, artist\nOutput: horse, tortoise, duck\n\nInput: goat, teacher, actor, camel, cat, orange, mouse\nOutput: camel, mouse, cat, goat\n\nInput: penguin, rice, camel, mango, brown, octopus\nOutput: camel, penguin, octopus\n\nInput: belt, chicken, helicopter, tiger, rabbit\nOutput: rabbit, chicken, tiger\n\nInput: pajamas, dolphin, shark, tomato, ship, giraffe, whale\nOutput: whale, giraffe, shark, dolphin" } }, "76": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: teacher, elephant, businesswoman, sheep, shoe, octopus\nOutput: octopus, sheep, elephant\n\nInput: car, bee, helicopter, duck, swimsuit, goat\nOutput: duck, bee, goat\n\nInput: sock, shirt, sweater, swan, elephant, camel, snail\nOutput: camel, elephant, swan, snail\n\nInput: butterfly, shark, dentist, lion, burger\nOutput: shark, butterfly, lion\n\nInput: butterfly, engineer, monkey, dolphin, helicopter, duck\nOutput: duck, butterfly, dolphin, monkey\n\nThe instruction was", "metadata": { "examples_seen": "Input: teacher, elephant, businesswoman, sheep, shoe, octopus\nOutput: octopus, sheep, elephant\n\nInput: car, bee, helicopter, duck, swimsuit, goat\nOutput: duck, bee, goat\n\nInput: sock, shirt, sweater, swan, elephant, camel, snail\nOutput: camel, elephant, swan, snail\n\nInput: butterfly, shark, dentist, lion, burger\nOutput: shark, butterfly, lion\n\nInput: butterfly, engineer, monkey, dolphin, helicopter, duck\nOutput: duck, butterfly, dolphin, monkey" } }, "77": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pajamas, rabbit, zebra, duck, soup\nOutput: zebra, rabbit, duck\n\nInput: frog, elephant, train, butterfly, whale, motorway\nOutput: butterfly, elephant, whale, frog\n\nInput: cook, bee, jacket, dentist, frog, rabbit\nOutput: rabbit, frog, bee\n\nInput: bee, dentist, motorway, lion, tortoise, octopus\nOutput: tortoise, octopus, lion, bee\n\nInput: tiger, white, lemon, sandwich, mouse, octopus, lion\nOutput: tiger, octopus, lion, mouse\n\nThe instruction was", "metadata": { "examples_seen": "Input: pajamas, rabbit, zebra, duck, soup\nOutput: zebra, rabbit, duck\n\nInput: frog, elephant, train, butterfly, whale, motorway\nOutput: butterfly, elephant, whale, frog\n\nInput: cook, bee, jacket, dentist, frog, rabbit\nOutput: rabbit, frog, bee\n\nInput: bee, dentist, motorway, lion, tortoise, octopus\nOutput: tortoise, octopus, lion, bee\n\nInput: tiger, white, lemon, sandwich, mouse, octopus, lion\nOutput: tiger, octopus, lion, mouse" } }, "78": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dolphin, gold, dress, spaceship, monkey, bat\nOutput: monkey, bat, dolphin\n\nInput: swimsuit, actor, monkey, donkey, panda, ice cream\nOutput: panda, monkey, donkey\n\nInput: monkey, goat, yellow, donkey, taxi, ambulance\nOutput: donkey, goat, monkey\n\nInput: tortoise, spaceship, sheep, sweater, snail\nOutput: tortoise, snail, sheep\n\nInput: goat, truck, designer, horse, bread, chicken, snail\nOutput: chicken, snail, horse, goat\n\nThe instruction was", "metadata": { "examples_seen": "Input: dolphin, gold, dress, spaceship, monkey, bat\nOutput: monkey, bat, dolphin\n\nInput: swimsuit, actor, monkey, donkey, panda, ice cream\nOutput: panda, monkey, donkey\n\nInput: monkey, goat, yellow, donkey, taxi, ambulance\nOutput: donkey, goat, monkey\n\nInput: tortoise, spaceship, sheep, sweater, snail\nOutput: tortoise, snail, sheep\n\nInput: goat, truck, designer, horse, bread, chicken, snail\nOutput: chicken, snail, horse, goat" } }, "79": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: tiger, car, hippo, bee, sausage\nOutput: hippo, tiger, bee\n\nInput: apple, snake, engineer, yellow, fly, chicken\nOutput: chicken, snake, fly\n\nInput: butterfly, gray, zebra, mouse, whale, kiwi\nOutput: butterfly, mouse, whale, zebra\n\nInput: cookie, camel, butterfly, bee, dress\nOutput: butterfly, camel, bee\n\nInput: horse, rabbit, businesswoman, parrot, soup, jellyfish, dentist\nOutput: jellyfish, parrot, rabbit, horse\n\nThe instruction was", "metadata": { "examples_seen": "Input: tiger, car, hippo, bee, sausage\nOutput: hippo, tiger, bee\n\nInput: apple, snake, engineer, yellow, fly, chicken\nOutput: chicken, snake, fly\n\nInput: butterfly, gray, zebra, mouse, whale, kiwi\nOutput: butterfly, mouse, whale, zebra\n\nInput: cookie, camel, butterfly, bee, dress\nOutput: butterfly, camel, bee\n\nInput: horse, rabbit, businesswoman, parrot, soup, jellyfish, dentist\nOutput: jellyfish, parrot, rabbit, horse" } }, "80": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: penguin, whale, candy, fly, skirt\nOutput: whale, penguin, fly\n\nInput: frog, photographer, rabbit, bus, goat\nOutput: frog, rabbit, goat\n\nInput: snake, lion, carrot, green, rabbit, penguin\nOutput: lion, penguin, rabbit, snake\n\nInput: nurse, monkey, meatballs, dolphin, sausage, duck\nOutput: duck, dolphin, monkey\n\nInput: shark, belt, lion, spider, ambulance\nOutput: lion, shark, spider\n\nThe instruction was", "metadata": { "examples_seen": "Input: penguin, whale, candy, fly, skirt\nOutput: whale, penguin, fly\n\nInput: frog, photographer, rabbit, bus, goat\nOutput: frog, rabbit, goat\n\nInput: snake, lion, carrot, green, rabbit, penguin\nOutput: lion, penguin, rabbit, snake\n\nInput: nurse, monkey, meatballs, dolphin, sausage, duck\nOutput: duck, dolphin, monkey\n\nInput: shark, belt, lion, spider, ambulance\nOutput: lion, shark, spider" } }, "81": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: panda, hat, purple, sheep, snake\nOutput: panda, sheep, snake\n\nInput: pajamas, dolphin, shark, tomato, ship, giraffe, whale\nOutput: whale, giraffe, shark, dolphin\n\nInput: lion, designer, swimsuit, mouse, tortoise, snake\nOutput: tortoise, mouse, lion, snake\n\nInput: helicopter, glove, chicken, doctor, dolphin, duck, lizard\nOutput: dolphin, duck, lizard, chicken\n\nInput: donkey, white, elephant, green, bat, horse, jeans\nOutput: bat, elephant, donkey, horse\n\nThe instruction was", "metadata": { "examples_seen": "Input: panda, hat, purple, sheep, snake\nOutput: panda, sheep, snake\n\nInput: pajamas, dolphin, shark, tomato, ship, giraffe, whale\nOutput: whale, giraffe, shark, dolphin\n\nInput: lion, designer, swimsuit, mouse, tortoise, snake\nOutput: tortoise, mouse, lion, snake\n\nInput: helicopter, glove, chicken, doctor, dolphin, duck, lizard\nOutput: dolphin, duck, lizard, chicken\n\nInput: donkey, white, elephant, green, bat, horse, jeans\nOutput: bat, elephant, donkey, horse" } }, "82": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: goat, butterfly, mouse, jeans, tiger, helicopter\nOutput: goat, butterfly, tiger, mouse\n\nInput: horse, jellyfish, goat, green, actor\nOutput: goat, horse, jellyfish\n\nInput: cat, chicken, rabbit, parrot, spaceship, doctor\nOutput: cat, parrot, chicken, rabbit\n\nInput: motorway, pear, jacket, duck, jellyfish, hippo\nOutput: duck, hippo, jellyfish\n\nInput: yellow, jellyfish, sweater, donkey, engineer, camel\nOutput: donkey, jellyfish, camel\n\nThe instruction was", "metadata": { "examples_seen": "Input: goat, butterfly, mouse, jeans, tiger, helicopter\nOutput: goat, butterfly, tiger, mouse\n\nInput: horse, jellyfish, goat, green, actor\nOutput: goat, horse, jellyfish\n\nInput: cat, chicken, rabbit, parrot, spaceship, doctor\nOutput: cat, parrot, chicken, rabbit\n\nInput: motorway, pear, jacket, duck, jellyfish, hippo\nOutput: duck, hippo, jellyfish\n\nInput: yellow, jellyfish, sweater, donkey, engineer, camel\nOutput: donkey, jellyfish, camel" } }, "83": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: horse, jellyfish, goat, green, actor\nOutput: goat, horse, jellyfish\n\nInput: whale, tractor, snail, engineer, bee, shirt, frog\nOutput: bee, whale, frog, snail\n\nInput: cookie, parrot, donkey, orange, journalist, tiger\nOutput: donkey, parrot, tiger\n\nInput: tiger, rabbit, blue, fly, scarf, strawberry\nOutput: fly, rabbit, tiger\n\nInput: sock, dolphin, skirt, giraffe, shark, rabbit\nOutput: dolphin, shark, rabbit, giraffe\n\nThe instruction was", "metadata": { "examples_seen": "Input: horse, jellyfish, goat, green, actor\nOutput: goat, horse, jellyfish\n\nInput: whale, tractor, snail, engineer, bee, shirt, frog\nOutput: bee, whale, frog, snail\n\nInput: cookie, parrot, donkey, orange, journalist, tiger\nOutput: donkey, parrot, tiger\n\nInput: tiger, rabbit, blue, fly, scarf, strawberry\nOutput: fly, rabbit, tiger\n\nInput: sock, dolphin, skirt, giraffe, shark, rabbit\nOutput: dolphin, shark, rabbit, giraffe" } }, "84": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: mouse, soup, monkey, elephant, donkey, designer\nOutput: monkey, elephant, donkey, mouse\n\nInput: vegetable, jacket, tortoise, bat, chicken, teacher, cat\nOutput: cat, tortoise, chicken, bat\n\nInput: lizard, hippo, taxi, designer, horse, monkey\nOutput: hippo, lizard, horse, monkey\n\nInput: hippo, designer, snail, lion, tiger, hat\nOutput: lion, snail, tiger, hippo\n\nInput: green, snail, octopus, trousers, hat, camel\nOutput: camel, octopus, snail\n\nThe instruction was", "metadata": { "examples_seen": "Input: mouse, soup, monkey, elephant, donkey, designer\nOutput: monkey, elephant, donkey, mouse\n\nInput: vegetable, jacket, tortoise, bat, chicken, teacher, cat\nOutput: cat, tortoise, chicken, bat\n\nInput: lizard, hippo, taxi, designer, horse, monkey\nOutput: hippo, lizard, horse, monkey\n\nInput: hippo, designer, snail, lion, tiger, hat\nOutput: lion, snail, tiger, hippo\n\nInput: green, snail, octopus, trousers, hat, camel\nOutput: camel, octopus, snail" } }, "85": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: rabbit, hat, spider, lemon, whale\nOutput: spider, rabbit, whale\n\nInput: plane, lizard, purple, penguin, jellyfish\nOutput: lizard, penguin, jellyfish\n\nInput: swan, sheep, lizard, apple, belt, frog, milk\nOutput: frog, sheep, swan, lizard\n\nInput: gray, zebra, camel, hippo, yellow, engineer, lizard\nOutput: hippo, lizard, camel, zebra\n\nInput: brown, penguin, parrot, fly, green\nOutput: parrot, penguin, fly\n\nThe instruction was", "metadata": { "examples_seen": "Input: rabbit, hat, spider, lemon, whale\nOutput: spider, rabbit, whale\n\nInput: plane, lizard, purple, penguin, jellyfish\nOutput: lizard, penguin, jellyfish\n\nInput: swan, sheep, lizard, apple, belt, frog, milk\nOutput: frog, sheep, swan, lizard\n\nInput: gray, zebra, camel, hippo, yellow, engineer, lizard\nOutput: hippo, lizard, camel, zebra\n\nInput: brown, penguin, parrot, fly, green\nOutput: parrot, penguin, fly" } }, "86": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: frog, belt, bat, butterfly, helicopter, bee\nOutput: butterfly, bee, frog, bat\n\nInput: hat, snake, jeans, plane, fly, swan, lion\nOutput: fly, swan, snake, lion\n\nInput: sock, lion, sheep, gray, ambulance, cat, snail\nOutput: cat, snail, sheep, lion\n\nInput: white, rabbit, hippo, green, tortoise\nOutput: hippo, rabbit, tortoise\n\nInput: fly, pink, elephant, shirt, snake, bread, bee\nOutput: bee, snake, fly, elephant\n\nThe instruction was", "metadata": { "examples_seen": "Input: frog, belt, bat, butterfly, helicopter, bee\nOutput: butterfly, bee, frog, bat\n\nInput: hat, snake, jeans, plane, fly, swan, lion\nOutput: fly, swan, snake, lion\n\nInput: sock, lion, sheep, gray, ambulance, cat, snail\nOutput: cat, snail, sheep, lion\n\nInput: white, rabbit, hippo, green, tortoise\nOutput: hippo, rabbit, tortoise\n\nInput: fly, pink, elephant, shirt, snake, bread, bee\nOutput: bee, snake, fly, elephant" } }, "87": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sock, helicopter, dolphin, cat, shirt, lion\nOutput: dolphin, cat, lion\n\nInput: yellow, butterfly, octopus, parrot, spaceship, snake\nOutput: snake, octopus, butterfly, parrot\n\nInput: waiter, giraffe, octopus, candy, butterfly, frog, pancake\nOutput: frog, butterfly, octopus, giraffe\n\nInput: shark, journalist, swan, goat, green\nOutput: swan, shark, goat\n\nInput: green, hippo, orange, tortoise, bee, frog\nOutput: bee, hippo, tortoise, frog\n\nThe instruction was", "metadata": { "examples_seen": "Input: sock, helicopter, dolphin, cat, shirt, lion\nOutput: dolphin, cat, lion\n\nInput: yellow, butterfly, octopus, parrot, spaceship, snake\nOutput: snake, octopus, butterfly, parrot\n\nInput: waiter, giraffe, octopus, candy, butterfly, frog, pancake\nOutput: frog, butterfly, octopus, giraffe\n\nInput: shark, journalist, swan, goat, green\nOutput: swan, shark, goat\n\nInput: green, hippo, orange, tortoise, bee, frog\nOutput: bee, hippo, tortoise, frog" } }, "88": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: tiger, orange, horse, shirt, spider, duck\nOutput: tiger, horse, spider, duck\n\nInput: monkey, hippo, businessman, shark, mango, panda\nOutput: shark, hippo, panda, monkey\n\nInput: shark, bat, whale, blue, glove, monkey\nOutput: monkey, whale, bat, shark\n\nInput: actor, red, tiger, lizard, horse, brown\nOutput: lizard, horse, tiger\n\nInput: goat, red, frog, zebra, tortoise, honey, orange\nOutput: goat, tortoise, frog, zebra\n\nThe instruction was", "metadata": { "examples_seen": "Input: tiger, orange, horse, shirt, spider, duck\nOutput: tiger, horse, spider, duck\n\nInput: monkey, hippo, businessman, shark, mango, panda\nOutput: shark, hippo, panda, monkey\n\nInput: shark, bat, whale, blue, glove, monkey\nOutput: monkey, whale, bat, shark\n\nInput: actor, red, tiger, lizard, horse, brown\nOutput: lizard, horse, tiger\n\nInput: goat, red, frog, zebra, tortoise, honey, orange\nOutput: goat, tortoise, frog, zebra" } }, "89": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: shark, jeans, parrot, donkey, sweater\nOutput: shark, parrot, donkey\n\nInput: spaceship, taxi, lizard, bat, camel, car, fly\nOutput: bat, camel, lizard, fly\n\nInput: bat, waiter, dolphin, gold, lizard\nOutput: bat, lizard, dolphin\n\nInput: businesswoman, bee, white, sweater, cat, elephant, jellyfish\nOutput: elephant, cat, bee, jellyfish\n\nInput: spaceship, scarf, horse, jellyfish, parrot, rabbit\nOutput: rabbit, jellyfish, parrot, horse\n\nThe instruction was", "metadata": { "examples_seen": "Input: shark, jeans, parrot, donkey, sweater\nOutput: shark, parrot, donkey\n\nInput: spaceship, taxi, lizard, bat, camel, car, fly\nOutput: bat, camel, lizard, fly\n\nInput: bat, waiter, dolphin, gold, lizard\nOutput: bat, lizard, dolphin\n\nInput: businesswoman, bee, white, sweater, cat, elephant, jellyfish\nOutput: elephant, cat, bee, jellyfish\n\nInput: spaceship, scarf, horse, jellyfish, parrot, rabbit\nOutput: rabbit, jellyfish, parrot, horse" } }, "90": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: tiger, white, lemon, sandwich, mouse, octopus, lion\nOutput: tiger, octopus, lion, mouse\n\nInput: sandwich, waiter, monkey, penguin, zebra\nOutput: zebra, monkey, penguin\n\nInput: mouse, artist, cook, donkey, apple, octopus, horse\nOutput: octopus, mouse, donkey, horse\n\nInput: goat, carrot, parrot, frog, whale, tractor\nOutput: parrot, goat, frog, whale\n\nInput: chicken, cat, lizard, photographer, white, butter\nOutput: cat, lizard, chicken\n\nThe instruction was", "metadata": { "examples_seen": "Input: tiger, white, lemon, sandwich, mouse, octopus, lion\nOutput: tiger, octopus, lion, mouse\n\nInput: sandwich, waiter, monkey, penguin, zebra\nOutput: zebra, monkey, penguin\n\nInput: mouse, artist, cook, donkey, apple, octopus, horse\nOutput: octopus, mouse, donkey, horse\n\nInput: goat, carrot, parrot, frog, whale, tractor\nOutput: parrot, goat, frog, whale\n\nInput: chicken, cat, lizard, photographer, white, butter\nOutput: cat, lizard, chicken" } }, "91": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pineapple, red, hippo, butterfly, chicken\nOutput: butterfly, hippo, chicken\n\nInput: spider, belt, parrot, mango, carrot, snake\nOutput: snake, spider, parrot\n\nInput: tortoise, donkey, shark, gray, designer, dolphin, taxi\nOutput: shark, tortoise, dolphin, donkey\n\nInput: brown, gold, zebra, panda, bee\nOutput: zebra, bee, panda\n\nInput: tortoise, parrot, yellow, lizard, soup, red\nOutput: parrot, tortoise, lizard\n\nThe instruction was", "metadata": { "examples_seen": "Input: pineapple, red, hippo, butterfly, chicken\nOutput: butterfly, hippo, chicken\n\nInput: spider, belt, parrot, mango, carrot, snake\nOutput: snake, spider, parrot\n\nInput: tortoise, donkey, shark, gray, designer, dolphin, taxi\nOutput: shark, tortoise, dolphin, donkey\n\nInput: brown, gold, zebra, panda, bee\nOutput: zebra, bee, panda\n\nInput: tortoise, parrot, yellow, lizard, soup, red\nOutput: parrot, tortoise, lizard" } }, "92": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: nurse, swimsuit, mouse, shark, helicopter, octopus, frog\nOutput: frog, mouse, shark, octopus\n\nInput: elephant, helicopter, blue, butterfly, lion, cook, bat\nOutput: elephant, lion, bat, butterfly\n\nInput: photographer, fly, zebra, cat, actor\nOutput: zebra, cat, fly\n\nInput: shark, monkey, cook, spider, plane, parrot\nOutput: monkey, parrot, shark, spider\n\nInput: yoghurt, horse, dolphin, goat, engineer, shoe, butterfly\nOutput: horse, dolphin, butterfly, goat\n\nThe instruction was", "metadata": { "examples_seen": "Input: nurse, swimsuit, mouse, shark, helicopter, octopus, frog\nOutput: frog, mouse, shark, octopus\n\nInput: elephant, helicopter, blue, butterfly, lion, cook, bat\nOutput: elephant, lion, bat, butterfly\n\nInput: photographer, fly, zebra, cat, actor\nOutput: zebra, cat, fly\n\nInput: shark, monkey, cook, spider, plane, parrot\nOutput: monkey, parrot, shark, spider\n\nInput: yoghurt, horse, dolphin, goat, engineer, shoe, butterfly\nOutput: horse, dolphin, butterfly, goat" } }, "93": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: tractor, butterfly, donkey, panda, waiter, helicopter, chicken\nOutput: donkey, butterfly, chicken, panda\n\nInput: bee, camel, shark, green, bread, glove, panda\nOutput: shark, bee, panda, camel\n\nInput: rabbit, parrot, spaceship, car, lemon, camel, butterfly\nOutput: parrot, rabbit, butterfly, camel\n\nInput: panda, vegetable, ship, sheep, lion, bat, yellow\nOutput: sheep, bat, panda, lion\n\nInput: lion, tiger, gold, bat, photographer, octopus\nOutput: octopus, tiger, lion, bat\n\nThe instruction was", "metadata": { "examples_seen": "Input: tractor, butterfly, donkey, panda, waiter, helicopter, chicken\nOutput: donkey, butterfly, chicken, panda\n\nInput: bee, camel, shark, green, bread, glove, panda\nOutput: shark, bee, panda, camel\n\nInput: rabbit, parrot, spaceship, car, lemon, camel, butterfly\nOutput: parrot, rabbit, butterfly, camel\n\nInput: panda, vegetable, ship, sheep, lion, bat, yellow\nOutput: sheep, bat, panda, lion\n\nInput: lion, tiger, gold, bat, photographer, octopus\nOutput: octopus, tiger, lion, bat" } }, "94": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: spider, frog, apple, bat, swimsuit\nOutput: spider, frog, bat\n\nInput: shark, monkey, cook, spider, plane, parrot\nOutput: monkey, parrot, shark, spider\n\nInput: mango, butterfly, pajamas, cat, frog\nOutput: cat, frog, butterfly\n\nInput: cook, jellyfish, cat, penguin, nurse, white, shark\nOutput: cat, shark, penguin, jellyfish\n\nInput: bee, sausage, motorway, tiger, cook, snake, giraffe\nOutput: snake, bee, tiger, giraffe\n\nThe instruction was", "metadata": { "examples_seen": "Input: spider, frog, apple, bat, swimsuit\nOutput: spider, frog, bat\n\nInput: shark, monkey, cook, spider, plane, parrot\nOutput: monkey, parrot, shark, spider\n\nInput: mango, butterfly, pajamas, cat, frog\nOutput: cat, frog, butterfly\n\nInput: cook, jellyfish, cat, penguin, nurse, white, shark\nOutput: cat, shark, penguin, jellyfish\n\nInput: bee, sausage, motorway, tiger, cook, snake, giraffe\nOutput: snake, bee, tiger, giraffe" } }, "95": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: helicopter, doctor, goat, spider, snail, glove, chicken\nOutput: goat, spider, chicken, snail\n\nInput: dentist, snake, bean, chicken, ambulance, parrot, duck\nOutput: snake, duck, parrot, chicken\n\nInput: jellyfish, waiter, trousers, goat, spider\nOutput: spider, jellyfish, goat\n\nInput: rabbit, parrot, spaceship, car, lemon, camel, butterfly\nOutput: parrot, rabbit, butterfly, camel\n\nInput: swimsuit, dress, zebra, trousers, fly, butterfly\nOutput: butterfly, fly, zebra\n\nThe instruction was", "metadata": { "examples_seen": "Input: helicopter, doctor, goat, spider, snail, glove, chicken\nOutput: goat, spider, chicken, snail\n\nInput: dentist, snake, bean, chicken, ambulance, parrot, duck\nOutput: snake, duck, parrot, chicken\n\nInput: jellyfish, waiter, trousers, goat, spider\nOutput: spider, jellyfish, goat\n\nInput: rabbit, parrot, spaceship, car, lemon, camel, butterfly\nOutput: parrot, rabbit, butterfly, camel\n\nInput: swimsuit, dress, zebra, trousers, fly, butterfly\nOutput: butterfly, fly, zebra" } }, "96": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: chicken, lion, frog, pajamas, red, swimsuit, hippo\nOutput: frog, chicken, hippo, lion\n\nInput: actor, horse, lion, snake, ice cream\nOutput: horse, lion, snake\n\nInput: doctor, mouse, chicken, mango, spider, hat\nOutput: mouse, chicken, spider\n\nInput: sheep, journalist, monkey, bat, belt, goat\nOutput: monkey, sheep, bat, goat\n\nInput: goat, milk, jellyfish, butterfly, tiger, artist, purple\nOutput: butterfly, jellyfish, goat, tiger\n\nThe instruction was", "metadata": { "examples_seen": "Input: chicken, lion, frog, pajamas, red, swimsuit, hippo\nOutput: frog, chicken, hippo, lion\n\nInput: actor, horse, lion, snake, ice cream\nOutput: horse, lion, snake\n\nInput: doctor, mouse, chicken, mango, spider, hat\nOutput: mouse, chicken, spider\n\nInput: sheep, journalist, monkey, bat, belt, goat\nOutput: monkey, sheep, bat, goat\n\nInput: goat, milk, jellyfish, butterfly, tiger, artist, purple\nOutput: butterfly, jellyfish, goat, tiger" } }, "97": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: elephant, ship, horse, truck, giraffe, pasta\nOutput: horse, giraffe, elephant\n\nInput: pink, hippo, chicken, actor, car, monkey\nOutput: chicken, monkey, hippo\n\nInput: whale, nurse, artist, swan, snail, duck\nOutput: swan, duck, whale, snail\n\nInput: panda, egg, parrot, jacket, mouse, elephant\nOutput: panda, mouse, parrot, elephant\n\nInput: burger, swan, mechanic, penguin, donkey, ship\nOutput: penguin, swan, donkey\n\nThe instruction was", "metadata": { "examples_seen": "Input: elephant, ship, horse, truck, giraffe, pasta\nOutput: horse, giraffe, elephant\n\nInput: pink, hippo, chicken, actor, car, monkey\nOutput: chicken, monkey, hippo\n\nInput: whale, nurse, artist, swan, snail, duck\nOutput: swan, duck, whale, snail\n\nInput: panda, egg, parrot, jacket, mouse, elephant\nOutput: panda, mouse, parrot, elephant\n\nInput: burger, swan, mechanic, penguin, donkey, ship\nOutput: penguin, swan, donkey" } }, "98": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ship, dolphin, swan, rice, butter, duck, monkey\nOutput: duck, swan, monkey, dolphin\n\nInput: trousers, butterfly, motorway, pink, spider, jellyfish\nOutput: spider, butterfly, jellyfish\n\nInput: pink, horse, journalist, octopus, rabbit\nOutput: rabbit, octopus, horse\n\nInput: snail, cat, mechanic, bat, taxi, ambulance\nOutput: cat, snail, bat\n\nInput: artist, snake, dolphin, panda, yellow, helicopter\nOutput: dolphin, panda, snake\n\nThe instruction was", "metadata": { "examples_seen": "Input: ship, dolphin, swan, rice, butter, duck, monkey\nOutput: duck, swan, monkey, dolphin\n\nInput: trousers, butterfly, motorway, pink, spider, jellyfish\nOutput: spider, butterfly, jellyfish\n\nInput: pink, horse, journalist, octopus, rabbit\nOutput: rabbit, octopus, horse\n\nInput: snail, cat, mechanic, bat, taxi, ambulance\nOutput: cat, snail, bat\n\nInput: artist, snake, dolphin, panda, yellow, helicopter\nOutput: dolphin, panda, snake" } }, "99": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: hat, dolphin, potato, horse, whale, hippo\nOutput: dolphin, whale, horse, hippo\n\nInput: onion, pajamas, lion, donkey, giraffe, octopus\nOutput: giraffe, donkey, lion, octopus\n\nInput: tortoise, donkey, shark, gray, designer, dolphin, taxi\nOutput: shark, tortoise, dolphin, donkey\n\nInput: rice, panda, rabbit, tiger, sock, mouse\nOutput: mouse, tiger, panda, rabbit\n\nInput: swan, monkey, engineer, cat, glove, octopus\nOutput: octopus, swan, monkey, cat\n\nThe instruction was", "metadata": { "examples_seen": "Input: hat, dolphin, potato, horse, whale, hippo\nOutput: dolphin, whale, horse, hippo\n\nInput: onion, pajamas, lion, donkey, giraffe, octopus\nOutput: giraffe, donkey, lion, octopus\n\nInput: tortoise, donkey, shark, gray, designer, dolphin, taxi\nOutput: shark, tortoise, dolphin, donkey\n\nInput: rice, panda, rabbit, tiger, sock, mouse\nOutput: mouse, tiger, panda, rabbit\n\nInput: swan, monkey, engineer, cat, glove, octopus\nOutput: octopus, swan, monkey, cat" } }, "100": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: blue, fly, dress, bee, tomato, hippo\nOutput: fly, hippo, bee\n\nInput: rabbit, hippo, teacher, penguin, engineer, designer\nOutput: rabbit, hippo, penguin\n\nInput: lion, zebra, swimsuit, fly, ship, photographer\nOutput: zebra, fly, lion\n\nInput: designer, swan, taxi, lion, ambulance, horse\nOutput: horse, lion, swan\n\nInput: butterfly, donkey, hat, gold, helicopter, dolphin\nOutput: donkey, butterfly, dolphin\n\nThe instruction was", "metadata": { "examples_seen": "Input: blue, fly, dress, bee, tomato, hippo\nOutput: fly, hippo, bee\n\nInput: rabbit, hippo, teacher, penguin, engineer, designer\nOutput: rabbit, hippo, penguin\n\nInput: lion, zebra, swimsuit, fly, ship, photographer\nOutput: zebra, fly, lion\n\nInput: designer, swan, taxi, lion, ambulance, horse\nOutput: horse, lion, swan\n\nInput: butterfly, donkey, hat, gold, helicopter, dolphin\nOutput: donkey, butterfly, dolphin" } } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/induction_input/translation_en-de.json ================================================ { "examples": { "1": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: equipment\nOutput: Ausrüstung\n\nInput: punt\nOutput: Stocherkahn\n\nInput: vote\nOutput: Stimme\n\nInput: grape\nOutput: Weintraube\n\nInput: symmetry\nOutput: Symmetrie\n\nThe instruction was", "metadata": { "examples_seen": "Input: equipment\nOutput: Ausrüstung\n\nInput: punt\nOutput: Stocherkahn\n\nInput: vote\nOutput: Stimme\n\nInput: grape\nOutput: Weintraube\n\nInput: symmetry\nOutput: Symmetrie" } }, "2": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: momentum\nOutput: Schwung\n\nInput: name\nOutput: Name\n\nInput: footballer\nOutput: Fußballer\n\nInput: rhetoric\nOutput: Rhetorik\n\nInput: artillery\nOutput: Artillerie\n\nThe instruction was", "metadata": { "examples_seen": "Input: momentum\nOutput: Schwung\n\nInput: name\nOutput: Name\n\nInput: footballer\nOutput: Fußballer\n\nInput: rhetoric\nOutput: Rhetorik\n\nInput: artillery\nOutput: Artillerie" } }, "3": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sword\nOutput: Schwertkämpfer\n\nInput: channel\nOutput: Kanal\n\nInput: conscription\nOutput: Wehrpflicht\n\nInput: transfer\nOutput: Übertragung\n\nInput: trailer\nOutput: Anhänger\n\nThe instruction was", "metadata": { "examples_seen": "Input: sword\nOutput: Schwertkämpfer\n\nInput: channel\nOutput: Kanal\n\nInput: conscription\nOutput: Wehrpflicht\n\nInput: transfer\nOutput: Übertragung\n\nInput: trailer\nOutput: Anhänger" } }, "4": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: attendance\nOutput: Anwesenheit\n\nInput: titanium\nOutput: Titan\n\nInput: gag\nOutput: Knebel\n\nInput: developer\nOutput: Entwickler\n\nInput: willingness\nOutput: Willigkeit\n\nThe instruction was", "metadata": { "examples_seen": "Input: attendance\nOutput: Anwesenheit\n\nInput: titanium\nOutput: Titan\n\nInput: gag\nOutput: Knebel\n\nInput: developer\nOutput: Entwickler\n\nInput: willingness\nOutput: Willigkeit" } }, "5": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ribbon\nOutput: Farbband\n\nInput: communication\nOutput: Kommunikation\n\nInput: plastic\nOutput: Plastik\n\nInput: thickness\nOutput: Dicke\n\nInput: basket\nOutput: Korb\n\nThe instruction was", "metadata": { "examples_seen": "Input: ribbon\nOutput: Farbband\n\nInput: communication\nOutput: Kommunikation\n\nInput: plastic\nOutput: Plastik\n\nInput: thickness\nOutput: Dicke\n\nInput: basket\nOutput: Korb" } }, "6": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: grain\nOutput: Körnchen\n\nInput: accompaniment\nOutput: Begleitung\n\nInput: bomb\nOutput: Bombe\n\nInput: census\nOutput: Zensus\n\nInput: project\nOutput: Projekt\n\nThe instruction was", "metadata": { "examples_seen": "Input: grain\nOutput: Körnchen\n\nInput: accompaniment\nOutput: Begleitung\n\nInput: bomb\nOutput: Bombe\n\nInput: census\nOutput: Zensus\n\nInput: project\nOutput: Projekt" } }, "7": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: nephew\nOutput: Neffe\n\nInput: plutonium\nOutput: Plutonium\n\nInput: waste\nOutput: Verfall\n\nInput: disruption\nOutput: Durcheinander\n\nInput: headline\nOutput: Schlagzeile\n\nThe instruction was", "metadata": { "examples_seen": "Input: nephew\nOutput: Neffe\n\nInput: plutonium\nOutput: Plutonium\n\nInput: waste\nOutput: Verfall\n\nInput: disruption\nOutput: Durcheinander\n\nInput: headline\nOutput: Schlagzeile" } }, "8": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: superintendent\nOutput: Leiter\n\nInput: dream\nOutput: Traum\n\nInput: pepper\nOutput: Pfeffer\n\nInput: reconstruction\nOutput: Rekonstruktion\n\nInput: butterfly\nOutput: Schmetterling\n\nThe instruction was", "metadata": { "examples_seen": "Input: superintendent\nOutput: Leiter\n\nInput: dream\nOutput: Traum\n\nInput: pepper\nOutput: Pfeffer\n\nInput: reconstruction\nOutput: Rekonstruktion\n\nInput: butterfly\nOutput: Schmetterling" } }, "9": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: comic\nOutput: Comic\n\nInput: frequency\nOutput: Häufigkeit\n\nInput: box\nOutput: Boxhieb\n\nInput: field\nOutput: Feld\n\nInput: law\nOutput: Gesetz\n\nThe instruction was", "metadata": { "examples_seen": "Input: comic\nOutput: Comic\n\nInput: frequency\nOutput: Häufigkeit\n\nInput: box\nOutput: Boxhieb\n\nInput: field\nOutput: Feld\n\nInput: law\nOutput: Gesetz" } }, "10": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: decision\nOutput: Entscheidung\n\nInput: display\nOutput: Display\n\nInput: accident\nOutput: Unfall\n\nInput: conflict\nOutput: Konflikt\n\nInput: stereotype\nOutput: Stereotyp\n\nThe instruction was", "metadata": { "examples_seen": "Input: decision\nOutput: Entscheidung\n\nInput: display\nOutput: Display\n\nInput: accident\nOutput: Unfall\n\nInput: conflict\nOutput: Konflikt\n\nInput: stereotype\nOutput: Stereotyp" } }, "11": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: limb\nOutput: Gliedmaße\n\nInput: experiment\nOutput: Experiment\n\nInput: west\nOutput: West\n\nInput: algae\nOutput: Algen\n\nInput: net\nOutput: Netz\n\nThe instruction was", "metadata": { "examples_seen": "Input: limb\nOutput: Gliedmaße\n\nInput: experiment\nOutput: Experiment\n\nInput: west\nOutput: West\n\nInput: algae\nOutput: Algen\n\nInput: net\nOutput: Netz" } }, "12": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: honour\nOutput: Ehre\n\nInput: flash\nOutput: Blitz\n\nInput: moment\nOutput: Moment\n\nInput: hunting\nOutput: Jagd\n\nInput: constituency\nOutput: Wahlkreis\n\nThe instruction was", "metadata": { "examples_seen": "Input: honour\nOutput: Ehre\n\nInput: flash\nOutput: Blitz\n\nInput: moment\nOutput: Moment\n\nInput: hunting\nOutput: Jagd\n\nInput: constituency\nOutput: Wahlkreis" } }, "13": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: shark\nOutput: Hai\n\nInput: chancellor\nOutput: Kanzler\n\nInput: lineage\nOutput: Geschlecht\n\nInput: sampling\nOutput: Abtastung\n\nInput: bankruptcy\nOutput: Bankrott\n\nThe instruction was", "metadata": { "examples_seen": "Input: shark\nOutput: Hai\n\nInput: chancellor\nOutput: Kanzler\n\nInput: lineage\nOutput: Geschlecht\n\nInput: sampling\nOutput: Abtastung\n\nInput: bankruptcy\nOutput: Bankrott" } }, "14": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: census\nOutput: Zensus\n\nInput: soil\nOutput: Erde\n\nInput: rear\nOutput: Nachhut\n\nInput: mix\nOutput: Mischung\n\nInput: camping\nOutput: Camping\n\nThe instruction was", "metadata": { "examples_seen": "Input: census\nOutput: Zensus\n\nInput: soil\nOutput: Erde\n\nInput: rear\nOutput: Nachhut\n\nInput: mix\nOutput: Mischung\n\nInput: camping\nOutput: Camping" } }, "15": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: layout\nOutput: Einteilung\n\nInput: trait\nOutput: Eigenschaft\n\nInput: console\nOutput: Konsole\n\nInput: baptism\nOutput: Taufe\n\nInput: propaganda\nOutput: Propaganda\n\nThe instruction was", "metadata": { "examples_seen": "Input: layout\nOutput: Einteilung\n\nInput: trait\nOutput: Eigenschaft\n\nInput: console\nOutput: Konsole\n\nInput: baptism\nOutput: Taufe\n\nInput: propaganda\nOutput: Propaganda" } }, "16": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: tackle\nOutput: der Flaschenzug\n\nInput: potassium\nOutput: Kalium\n\nInput: regiment\nOutput: Regiment\n\nInput: tendency\nOutput: Tendenz neigen\" or tendieren)\n\nInput: designer\nOutput: Designer\n\nThe instruction was", "metadata": { "examples_seen": "Input: tackle\nOutput: der Flaschenzug\n\nInput: potassium\nOutput: Kalium\n\nInput: regiment\nOutput: Regiment\n\nInput: tendency\nOutput: Tendenz neigen\" or tendieren)\n\nInput: designer\nOutput: Designer" } }, "17": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: percussion\nOutput: Perkussion\n\nInput: sample\nOutput: Probe\n\nInput: credit\nOutput: Kreditwürdigkeit\n\nInput: discussion\nOutput: Diskussion\n\nInput: guilt\nOutput: Schuldgefühl\n\nThe instruction was", "metadata": { "examples_seen": "Input: percussion\nOutput: Perkussion\n\nInput: sample\nOutput: Probe\n\nInput: credit\nOutput: Kreditwürdigkeit\n\nInput: discussion\nOutput: Diskussion\n\nInput: guilt\nOutput: Schuldgefühl" } }, "18": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: cruiser\nOutput: Kreuzer\n\nInput: archaeologist\nOutput: Archäologe\n\nInput: duty\nOutput: Schicht\n\nInput: chair\nOutput: Vorsitzender\n\nInput: excitement\nOutput: Aufregung\n\nThe instruction was", "metadata": { "examples_seen": "Input: cruiser\nOutput: Kreuzer\n\nInput: archaeologist\nOutput: Archäologe\n\nInput: duty\nOutput: Schicht\n\nInput: chair\nOutput: Vorsitzender\n\nInput: excitement\nOutput: Aufregung" } }, "19": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: cruiser\nOutput: Kreuzer\n\nInput: tower\nOutput: Turm\n\nInput: hierarchy\nOutput: Hierarchie\n\nInput: inception\nOutput: Beginn\n\nInput: home\nOutput: Heimat\n\nThe instruction was", "metadata": { "examples_seen": "Input: cruiser\nOutput: Kreuzer\n\nInput: tower\nOutput: Turm\n\nInput: hierarchy\nOutput: Hierarchie\n\nInput: inception\nOutput: Beginn\n\nInput: home\nOutput: Heimat" } }, "20": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: tube\nOutput: Rohr\n\nInput: restaurant\nOutput: Restaurant\n\nInput: breakup\nOutput: Trennung\n\nInput: waste\nOutput: Verfall\n\nInput: exhibition\nOutput: Ausstellung\n\nThe instruction was", "metadata": { "examples_seen": "Input: tube\nOutput: Rohr\n\nInput: restaurant\nOutput: Restaurant\n\nInput: breakup\nOutput: Trennung\n\nInput: waste\nOutput: Verfall\n\nInput: exhibition\nOutput: Ausstellung" } }, "21": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: steel\nOutput: Stahl\n\nInput: cap\nOutput: Mütze\n\nInput: thing\nOutput: Ding\n\nInput: rock\nOutput: Fels\n\nInput: sequence\nOutput: Folge\n\nThe instruction was", "metadata": { "examples_seen": "Input: steel\nOutput: Stahl\n\nInput: cap\nOutput: Mütze\n\nInput: thing\nOutput: Ding\n\nInput: rock\nOutput: Fels\n\nInput: sequence\nOutput: Folge" } }, "22": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: grandson\nOutput: Enkelsohn\n\nInput: soundtrack\nOutput: Tonspur\n\nInput: accession\nOutput: Beitritt\n\nInput: protagonist\nOutput: Protagonist\n\nInput: vice\nOutput: Laster\n\nThe instruction was", "metadata": { "examples_seen": "Input: grandson\nOutput: Enkelsohn\n\nInput: soundtrack\nOutput: Tonspur\n\nInput: accession\nOutput: Beitritt\n\nInput: protagonist\nOutput: Protagonist\n\nInput: vice\nOutput: Laster" } }, "23": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: legitimacy\nOutput: Rechtmäßigkeit\n\nInput: menu\nOutput: Menü\n\nInput: diversity\nOutput: Vielfältigkeit\n\nInput: environment\nOutput: Umgebung\n\nInput: scene\nOutput: Szene\n\nThe instruction was", "metadata": { "examples_seen": "Input: legitimacy\nOutput: Rechtmäßigkeit\n\nInput: menu\nOutput: Menü\n\nInput: diversity\nOutput: Vielfältigkeit\n\nInput: environment\nOutput: Umgebung\n\nInput: scene\nOutput: Szene" } }, "24": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: knee\nOutput: Knie\n\nInput: drummer\nOutput: Schlagzeuger\n\nInput: appointment\nOutput: Ernennung\n\nInput: equity\nOutput: Gerechtigkeit\n\nInput: trough\nOutput: Trog\n\nThe instruction was", "metadata": { "examples_seen": "Input: knee\nOutput: Knie\n\nInput: drummer\nOutput: Schlagzeuger\n\nInput: appointment\nOutput: Ernennung\n\nInput: equity\nOutput: Gerechtigkeit\n\nInput: trough\nOutput: Trog" } }, "25": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: attack\nOutput: Attacke\n\nInput: crop\nOutput: Gerte\n\nInput: pavilion\nOutput: Pavillon\n\nInput: contempt\nOutput: Verachtung\n\nInput: spiral\nOutput: Spirale\n\nThe instruction was", "metadata": { "examples_seen": "Input: attack\nOutput: Attacke\n\nInput: crop\nOutput: Gerte\n\nInput: pavilion\nOutput: Pavillon\n\nInput: contempt\nOutput: Verachtung\n\nInput: spiral\nOutput: Spirale" } }, "26": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: argument\nOutput: Argument\n\nInput: doctrine\nOutput: Doktrin\n\nInput: sampling\nOutput: Abtastung\n\nInput: concussion\nOutput: Erschütterung\n\nInput: recommendation\nOutput: Empfehlung\n\nThe instruction was", "metadata": { "examples_seen": "Input: argument\nOutput: Argument\n\nInput: doctrine\nOutput: Doktrin\n\nInput: sampling\nOutput: Abtastung\n\nInput: concussion\nOutput: Erschütterung\n\nInput: recommendation\nOutput: Empfehlung" } }, "27": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sculpture\nOutput: Bildhauerkunst\n\nInput: shower\nOutput: Schauer\n\nInput: submarine\nOutput: Unterseeboot\n\nInput: installation\nOutput: Installation\n\nInput: score\nOutput: Partitur\n\nThe instruction was", "metadata": { "examples_seen": "Input: sculpture\nOutput: Bildhauerkunst\n\nInput: shower\nOutput: Schauer\n\nInput: submarine\nOutput: Unterseeboot\n\nInput: installation\nOutput: Installation\n\nInput: score\nOutput: Partitur" } }, "28": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: cancer\nOutput: Krebs\n\nInput: counsel\nOutput: Rat\n\nInput: storey\nOutput: Stock\n\nInput: opera\nOutput: Oper\n\nInput: sociology\nOutput: Soziologie\n\nThe instruction was", "metadata": { "examples_seen": "Input: cancer\nOutput: Krebs\n\nInput: counsel\nOutput: Rat\n\nInput: storey\nOutput: Stock\n\nInput: opera\nOutput: Oper\n\nInput: sociology\nOutput: Soziologie" } }, "29": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: granddaughter\nOutput: Enkelin\n\nInput: city\nOutput: Stadt\n\nInput: continuity\nOutput: Kontinuität\n\nInput: location\nOutput: Lage\n\nInput: metabolism\nOutput: Stoffwechsel\n\nThe instruction was", "metadata": { "examples_seen": "Input: granddaughter\nOutput: Enkelin\n\nInput: city\nOutput: Stadt\n\nInput: continuity\nOutput: Kontinuität\n\nInput: location\nOutput: Lage\n\nInput: metabolism\nOutput: Stoffwechsel" } }, "30": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: witness\nOutput: Zeuge\n\nInput: composer\nOutput: Komponist\n\nInput: label\nOutput: Etikett\n\nInput: statue\nOutput: Statue\n\nInput: tract\nOutput: Traktat\n\nThe instruction was", "metadata": { "examples_seen": "Input: witness\nOutput: Zeuge\n\nInput: composer\nOutput: Komponist\n\nInput: label\nOutput: Etikett\n\nInput: statue\nOutput: Statue\n\nInput: tract\nOutput: Traktat" } }, "31": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: selection\nOutput: Auslese\n\nInput: decade\nOutput: Dekade\n\nInput: engineering\nOutput: Ingenieurwissenschaft\n\nInput: sickness\nOutput: Übelkeit\n\nInput: taxi\nOutput: Taxi\n\nThe instruction was", "metadata": { "examples_seen": "Input: selection\nOutput: Auslese\n\nInput: decade\nOutput: Dekade\n\nInput: engineering\nOutput: Ingenieurwissenschaft\n\nInput: sickness\nOutput: Übelkeit\n\nInput: taxi\nOutput: Taxi" } }, "32": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: depot\nOutput: Depot\n\nInput: grandfather\nOutput: Großvater\n\nInput: cooperation\nOutput: Zusammenarbeit\n\nInput: mistake\nOutput: Fehler\n\nInput: television\nOutput: Fernsehen\n\nThe instruction was", "metadata": { "examples_seen": "Input: depot\nOutput: Depot\n\nInput: grandfather\nOutput: Großvater\n\nInput: cooperation\nOutput: Zusammenarbeit\n\nInput: mistake\nOutput: Fehler\n\nInput: television\nOutput: Fernsehen" } }, "33": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: verb\nOutput: Verb\n\nInput: cockpit\nOutput: Cockpit\n\nInput: inventory\nOutput: Inventar\n\nInput: asset\nOutput: Aktiva\n\nInput: catch\nOutput: Fang\n\nThe instruction was", "metadata": { "examples_seen": "Input: verb\nOutput: Verb\n\nInput: cockpit\nOutput: Cockpit\n\nInput: inventory\nOutput: Inventar\n\nInput: asset\nOutput: Aktiva\n\nInput: catch\nOutput: Fang" } }, "34": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: exit\nOutput: Abtritt\n\nInput: snout\nOutput: Schnauze\n\nInput: touch\nOutput: Berührung\n\nInput: bag\nOutput: Beutel\n\nInput: typhoon\nOutput: Taifun\n\nThe instruction was", "metadata": { "examples_seen": "Input: exit\nOutput: Abtritt\n\nInput: snout\nOutput: Schnauze\n\nInput: touch\nOutput: Berührung\n\nInput: bag\nOutput: Beutel\n\nInput: typhoon\nOutput: Taifun" } }, "35": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: marketing\nOutput: Marketing\n\nInput: expulsion\nOutput: Entfernung\n\nInput: merchant\nOutput: Kaufmann\n\nInput: sex\nOutput: Sex\n\nInput: popularity\nOutput: Popularität\n\nThe instruction was", "metadata": { "examples_seen": "Input: marketing\nOutput: Marketing\n\nInput: expulsion\nOutput: Entfernung\n\nInput: merchant\nOutput: Kaufmann\n\nInput: sex\nOutput: Sex\n\nInput: popularity\nOutput: Popularität" } }, "36": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: employer\nOutput: Arbeitgeber\n\nInput: forum\nOutput: Forum\n\nInput: horse\nOutput: Pferd\n\nInput: development\nOutput: Entwicklung\n\nInput: bassist\nOutput: Bassist\n\nThe instruction was", "metadata": { "examples_seen": "Input: employer\nOutput: Arbeitgeber\n\nInput: forum\nOutput: Forum\n\nInput: horse\nOutput: Pferd\n\nInput: development\nOutput: Entwicklung\n\nInput: bassist\nOutput: Bassist" } }, "37": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: monument\nOutput: Denkmal\n\nInput: encounter\nOutput: Begegnung\n\nInput: law\nOutput: Gesetz\n\nInput: spur\nOutput: Ansporn\n\nInput: crew\nOutput: Haufen\n\nThe instruction was", "metadata": { "examples_seen": "Input: monument\nOutput: Denkmal\n\nInput: encounter\nOutput: Begegnung\n\nInput: law\nOutput: Gesetz\n\nInput: spur\nOutput: Ansporn\n\nInput: crew\nOutput: Haufen" } }, "38": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: blast\nOutput: Windstoß\n\nInput: wing\nOutput: Flügel\n\nInput: citizen\nOutput: Einwohner\n\nInput: test\nOutput: Examen\n\nInput: debris\nOutput: Trümmer\n\nThe instruction was", "metadata": { "examples_seen": "Input: blast\nOutput: Windstoß\n\nInput: wing\nOutput: Flügel\n\nInput: citizen\nOutput: Einwohner\n\nInput: test\nOutput: Examen\n\nInput: debris\nOutput: Trümmer" } }, "39": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: oil\nOutput: Öl\n\nInput: biography\nOutput: Biografie\n\nInput: virtue\nOutput: Tugend\n\nInput: service\nOutput: Service\n\nInput: center\nOutput: Zentrum\n\nThe instruction was", "metadata": { "examples_seen": "Input: oil\nOutput: Öl\n\nInput: biography\nOutput: Biografie\n\nInput: virtue\nOutput: Tugend\n\nInput: service\nOutput: Service\n\nInput: center\nOutput: Zentrum" } }, "40": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: disruption\nOutput: Durcheinander\n\nInput: interrogation\nOutput: Befragung\n\nInput: moment\nOutput: Moment\n\nInput: microphone\nOutput: Mikrofon\n\nInput: sound\nOutput: Sonde\n\nThe instruction was", "metadata": { "examples_seen": "Input: disruption\nOutput: Durcheinander\n\nInput: interrogation\nOutput: Befragung\n\nInput: moment\nOutput: Moment\n\nInput: microphone\nOutput: Mikrofon\n\nInput: sound\nOutput: Sonde" } }, "41": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: vehicle\nOutput: Fahrzeug\n\nInput: clause\nOutput: Nebensatz\n\nInput: actor\nOutput: Handelnde\n\nInput: purchase\nOutput: Kauf\n\nInput: shopping\nOutput: Einkaufen\n\nThe instruction was", "metadata": { "examples_seen": "Input: vehicle\nOutput: Fahrzeug\n\nInput: clause\nOutput: Nebensatz\n\nInput: actor\nOutput: Handelnde\n\nInput: purchase\nOutput: Kauf\n\nInput: shopping\nOutput: Einkaufen" } }, "42": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: coal\nOutput: Kohle\n\nInput: venue\nOutput: Schauplatz\n\nInput: numbering\nOutput: Nummerierung\n\nInput: logo\nOutput: Logo\n\nInput: induction\nOutput: Induktion\n\nThe instruction was", "metadata": { "examples_seen": "Input: coal\nOutput: Kohle\n\nInput: venue\nOutput: Schauplatz\n\nInput: numbering\nOutput: Nummerierung\n\nInput: logo\nOutput: Logo\n\nInput: induction\nOutput: Induktion" } }, "43": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: interrogation\nOutput: Befragung\n\nInput: resource\nOutput: Hilfsmittel\n\nInput: muscle\nOutput: Muskel\n\nInput: honour\nOutput: Ehre\n\nInput: scheme\nOutput: Schema\n\nThe instruction was", "metadata": { "examples_seen": "Input: interrogation\nOutput: Befragung\n\nInput: resource\nOutput: Hilfsmittel\n\nInput: muscle\nOutput: Muskel\n\nInput: honour\nOutput: Ehre\n\nInput: scheme\nOutput: Schema" } }, "44": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dictator\nOutput: Diktator\n\nInput: reserve\nOutput: Reserve\n\nInput: parody\nOutput: Parodie\n\nInput: supply\nOutput: Angebot\n\nInput: focus\nOutput: Fokus\n\nThe instruction was", "metadata": { "examples_seen": "Input: dictator\nOutput: Diktator\n\nInput: reserve\nOutput: Reserve\n\nInput: parody\nOutput: Parodie\n\nInput: supply\nOutput: Angebot\n\nInput: focus\nOutput: Fokus" } }, "45": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: peninsula\nOutput: Halbinsel\n\nInput: guilt\nOutput: Schuldgefühl\n\nInput: sink\nOutput: Waschbecken\n\nInput: birth\nOutput: Geburt\n\nInput: dish\nOutput: Gericht\n\nThe instruction was", "metadata": { "examples_seen": "Input: peninsula\nOutput: Halbinsel\n\nInput: guilt\nOutput: Schuldgefühl\n\nInput: sink\nOutput: Waschbecken\n\nInput: birth\nOutput: Geburt\n\nInput: dish\nOutput: Gericht" } }, "46": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: interpretation\nOutput: Interpretation\n\nInput: writer\nOutput: Schriftsteller\n\nInput: driving\nOutput: Fahren\n\nInput: muscle\nOutput: Muskel\n\nInput: infrastructure\nOutput: Infrastruktur\n\nThe instruction was", "metadata": { "examples_seen": "Input: interpretation\nOutput: Interpretation\n\nInput: writer\nOutput: Schriftsteller\n\nInput: driving\nOutput: Fahren\n\nInput: muscle\nOutput: Muskel\n\nInput: infrastructure\nOutput: Infrastruktur" } }, "47": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: afternoon\nOutput: Nachmittag\n\nInput: employment\nOutput: Gebrauch\n\nInput: post\nOutput: Stelle\n\nInput: worship\nOutput: Verehrung\n\nInput: swift\nOutput: Segler\n\nThe instruction was", "metadata": { "examples_seen": "Input: afternoon\nOutput: Nachmittag\n\nInput: employment\nOutput: Gebrauch\n\nInput: post\nOutput: Stelle\n\nInput: worship\nOutput: Verehrung\n\nInput: swift\nOutput: Segler" } }, "48": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: roller\nOutput: Racke\n\nInput: side\nOutput: Seite\n\nInput: localization\nOutput: Lokalisieren\n\nInput: spite\nOutput: Boshaftigkeit\n\nInput: entry\nOutput: Eintrag\n\nThe instruction was", "metadata": { "examples_seen": "Input: roller\nOutput: Racke\n\nInput: side\nOutput: Seite\n\nInput: localization\nOutput: Lokalisieren\n\nInput: spite\nOutput: Boshaftigkeit\n\nInput: entry\nOutput: Eintrag" } }, "49": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: entertainment\nOutput: Unterhaltung\n\nInput: battery\nOutput: Körperverletzung\n\nInput: difference\nOutput: Unterschied\n\nInput: cow\nOutput: Kuh\n\nInput: uncertainty\nOutput: Unsicherheit\n\nThe instruction was", "metadata": { "examples_seen": "Input: entertainment\nOutput: Unterhaltung\n\nInput: battery\nOutput: Körperverletzung\n\nInput: difference\nOutput: Unterschied\n\nInput: cow\nOutput: Kuh\n\nInput: uncertainty\nOutput: Unsicherheit" } }, "50": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: academy\nOutput: Akademie\n\nInput: knee\nOutput: Knie\n\nInput: bore\nOutput: Bohrung\n\nInput: lockout\nOutput: Aussperrung\n\nInput: width\nOutput: Breite\n\nThe instruction was", "metadata": { "examples_seen": "Input: academy\nOutput: Akademie\n\nInput: knee\nOutput: Knie\n\nInput: bore\nOutput: Bohrung\n\nInput: lockout\nOutput: Aussperrung\n\nInput: width\nOutput: Breite" } }, "51": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: cave\nOutput: Höhle\n\nInput: verdict\nOutput: Gerichtsurteil\n\nInput: pool\nOutput: Becken\n\nInput: tradition\nOutput: Tradition\n\nInput: pass\nOutput: Pass\n\nThe instruction was", "metadata": { "examples_seen": "Input: cave\nOutput: Höhle\n\nInput: verdict\nOutput: Gerichtsurteil\n\nInput: pool\nOutput: Becken\n\nInput: tradition\nOutput: Tradition\n\nInput: pass\nOutput: Pass" } }, "52": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: flesh\nOutput: Fleisch\n\nInput: pack\nOutput: Pack\n\nInput: equation\nOutput: Gleichung\n\nInput: footballer\nOutput: Fußballer\n\nInput: southeast\nOutput: Südosten\n\nThe instruction was", "metadata": { "examples_seen": "Input: flesh\nOutput: Fleisch\n\nInput: pack\nOutput: Pack\n\nInput: equation\nOutput: Gleichung\n\nInput: footballer\nOutput: Fußballer\n\nInput: southeast\nOutput: Südosten" } }, "53": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: blade\nOutput: Klinge\n\nInput: beam\nOutput: Balken\n\nInput: alphabet\nOutput: Alphabet\n\nInput: sanctuary\nOutput: Zuflucht\n\nInput: west\nOutput: West\n\nThe instruction was", "metadata": { "examples_seen": "Input: blade\nOutput: Klinge\n\nInput: beam\nOutput: Balken\n\nInput: alphabet\nOutput: Alphabet\n\nInput: sanctuary\nOutput: Zuflucht\n\nInput: west\nOutput: West" } }, "54": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: conscience\nOutput: Gewissen\n\nInput: chair\nOutput: Vorsitzender\n\nInput: explorer\nOutput: Entdecker\n\nInput: airport\nOutput: Flughafen\n\nInput: fundraising\nOutput: Fundraising\n\nThe instruction was", "metadata": { "examples_seen": "Input: conscience\nOutput: Gewissen\n\nInput: chair\nOutput: Vorsitzender\n\nInput: explorer\nOutput: Entdecker\n\nInput: airport\nOutput: Flughafen\n\nInput: fundraising\nOutput: Fundraising" } }, "55": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: plenty\nOutput: Fülle\n\nInput: populace\nOutput: gemeine Volk\n\nInput: format\nOutput: Format\n\nInput: piano\nOutput: Klavier\n\nInput: wheat\nOutput: Weizen\n\nThe instruction was", "metadata": { "examples_seen": "Input: plenty\nOutput: Fülle\n\nInput: populace\nOutput: gemeine Volk\n\nInput: format\nOutput: Format\n\nInput: piano\nOutput: Klavier\n\nInput: wheat\nOutput: Weizen" } }, "56": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: cheese\nOutput: Käse\n\nInput: tank\nOutput: Tank\n\nInput: superhero\nOutput: Superheld\n\nInput: swimming\nOutput: Schwimmen\n\nInput: assistance\nOutput: Hilfe\n\nThe instruction was", "metadata": { "examples_seen": "Input: cheese\nOutput: Käse\n\nInput: tank\nOutput: Tank\n\nInput: superhero\nOutput: Superheld\n\nInput: swimming\nOutput: Schwimmen\n\nInput: assistance\nOutput: Hilfe" } }, "57": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: release\nOutput: Veröffentlichung\n\nInput: education\nOutput: Bildung\n\nInput: subsidiary\nOutput: Tochterunternehmen\n\nInput: chorus\nOutput: Chor\n\nInput: section\nOutput: Abschnitt\n\nThe instruction was", "metadata": { "examples_seen": "Input: release\nOutput: Veröffentlichung\n\nInput: education\nOutput: Bildung\n\nInput: subsidiary\nOutput: Tochterunternehmen\n\nInput: chorus\nOutput: Chor\n\nInput: section\nOutput: Abschnitt" } }, "58": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: activist\nOutput: Aktivist\n\nInput: fertility\nOutput: Fruchtbarkeit\n\nInput: concession\nOutput: Gewerbeerlaubnis\n\nInput: casting\nOutput: Gießen\n\nInput: instance\nOutput: Instanz\n\nThe instruction was", "metadata": { "examples_seen": "Input: activist\nOutput: Aktivist\n\nInput: fertility\nOutput: Fruchtbarkeit\n\nInput: concession\nOutput: Gewerbeerlaubnis\n\nInput: casting\nOutput: Gießen\n\nInput: instance\nOutput: Instanz" } }, "59": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ideology\nOutput: Ideologie\n\nInput: deception\nOutput: Täuschung\n\nInput: navigation\nOutput: Navigation\n\nInput: today\nOutput: Heute\n\nInput: brood\nOutput: Brut\n\nThe instruction was", "metadata": { "examples_seen": "Input: ideology\nOutput: Ideologie\n\nInput: deception\nOutput: Täuschung\n\nInput: navigation\nOutput: Navigation\n\nInput: today\nOutput: Heute\n\nInput: brood\nOutput: Brut" } }, "60": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: workshop\nOutput: Workshop\n\nInput: feature\nOutput: Besonderheit\n\nInput: resort\nOutput: Kurort\n\nInput: inventor\nOutput: Erfinder\n\nInput: proximity\nOutput: Nähe\n\nThe instruction was", "metadata": { "examples_seen": "Input: workshop\nOutput: Workshop\n\nInput: feature\nOutput: Besonderheit\n\nInput: resort\nOutput: Kurort\n\nInput: inventor\nOutput: Erfinder\n\nInput: proximity\nOutput: Nähe" } }, "61": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: neutrality\nOutput: Neutralität\n\nInput: reconciliation\nOutput: Abgleich\n\nInput: accommodation\nOutput: Unterkunft\n\nInput: floor\nOutput: Decke\n\nInput: efficiency\nOutput: Effizienz\n\nThe instruction was", "metadata": { "examples_seen": "Input: neutrality\nOutput: Neutralität\n\nInput: reconciliation\nOutput: Abgleich\n\nInput: accommodation\nOutput: Unterkunft\n\nInput: floor\nOutput: Decke\n\nInput: efficiency\nOutput: Effizienz" } }, "62": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: elephant\nOutput: Elefant\n\nInput: rifle\nOutput: Gewehr\n\nInput: deterioration\nOutput: Verschlimmerung\n\nInput: attraction\nOutput: Attraktion\n\nInput: menu\nOutput: Menü\n\nThe instruction was", "metadata": { "examples_seen": "Input: elephant\nOutput: Elefant\n\nInput: rifle\nOutput: Gewehr\n\nInput: deterioration\nOutput: Verschlimmerung\n\nInput: attraction\nOutput: Attraktion\n\nInput: menu\nOutput: Menü" } }, "63": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pile\nOutput: Haufen\n\nInput: parliament\nOutput: Parlament\n\nInput: bowl\nOutput: Schale\n\nInput: scratch\nOutput: Kratzer\n\nInput: zone\nOutput: Zone\n\nThe instruction was", "metadata": { "examples_seen": "Input: pile\nOutput: Haufen\n\nInput: parliament\nOutput: Parlament\n\nInput: bowl\nOutput: Schale\n\nInput: scratch\nOutput: Kratzer\n\nInput: zone\nOutput: Zone" } }, "64": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: group\nOutput: Gruppe\n\nInput: probability\nOutput: Wahrscheinlichkeit\n\nInput: bravery\nOutput: Tapferkeit\n\nInput: cement\nOutput: Zement\n\nInput: mistake\nOutput: Fehler\n\nThe instruction was", "metadata": { "examples_seen": "Input: group\nOutput: Gruppe\n\nInput: probability\nOutput: Wahrscheinlichkeit\n\nInput: bravery\nOutput: Tapferkeit\n\nInput: cement\nOutput: Zement\n\nInput: mistake\nOutput: Fehler" } }, "65": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: index\nOutput: Index\n\nInput: reproduction\nOutput: Fortpflanzung\n\nInput: courtyard\nOutput: Hof\n\nInput: concert\nOutput: Konzert\n\nInput: address\nOutput: verbaler Antrag\n\nThe instruction was", "metadata": { "examples_seen": "Input: index\nOutput: Index\n\nInput: reproduction\nOutput: Fortpflanzung\n\nInput: courtyard\nOutput: Hof\n\nInput: concert\nOutput: Konzert\n\nInput: address\nOutput: verbaler Antrag" } }, "66": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pavilion\nOutput: Pavillon\n\nInput: absence\nOutput: Abwesenheit\n\nInput: interview\nOutput: Vorstellungsgespräch\n\nInput: environment\nOutput: Umgebung\n\nInput: claim\nOutput: Anspruch\n\nThe instruction was", "metadata": { "examples_seen": "Input: pavilion\nOutput: Pavillon\n\nInput: absence\nOutput: Abwesenheit\n\nInput: interview\nOutput: Vorstellungsgespräch\n\nInput: environment\nOutput: Umgebung\n\nInput: claim\nOutput: Anspruch" } }, "67": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: boundary\nOutput: Grenze\n\nInput: melody\nOutput: Melodie\n\nInput: evolution\nOutput: Evolution\n\nInput: intersection\nOutput: Schnittpunkt\n\nInput: contention\nOutput: Streit\n\nThe instruction was", "metadata": { "examples_seen": "Input: boundary\nOutput: Grenze\n\nInput: melody\nOutput: Melodie\n\nInput: evolution\nOutput: Evolution\n\nInput: intersection\nOutput: Schnittpunkt\n\nInput: contention\nOutput: Streit" } }, "68": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: injury\nOutput: Verletzung\n\nInput: telephone\nOutput: Telefon\n\nInput: picture\nOutput: Kino\n\nInput: blast\nOutput: Windstoß\n\nInput: planet\nOutput: Planet\n\nThe instruction was", "metadata": { "examples_seen": "Input: injury\nOutput: Verletzung\n\nInput: telephone\nOutput: Telefon\n\nInput: picture\nOutput: Kino\n\nInput: blast\nOutput: Windstoß\n\nInput: planet\nOutput: Planet" } }, "69": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: skating\nOutput: Schlittschuhlaufen\n\nInput: curse\nOutput: Fluch\n\nInput: monopoly\nOutput: Monopol\n\nInput: songwriter\nOutput: Songwriter\n\nInput: chemistry\nOutput: Chemie\n\nThe instruction was", "metadata": { "examples_seen": "Input: skating\nOutput: Schlittschuhlaufen\n\nInput: curse\nOutput: Fluch\n\nInput: monopoly\nOutput: Monopol\n\nInput: songwriter\nOutput: Songwriter\n\nInput: chemistry\nOutput: Chemie" } }, "70": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: nationality\nOutput: Nationalität\n\nInput: significance\nOutput: Bedeutung\n\nInput: battery\nOutput: Körperverletzung\n\nInput: approach\nOutput: Annäherung\n\nInput: liberation\nOutput: Befreiung\n\nThe instruction was", "metadata": { "examples_seen": "Input: nationality\nOutput: Nationalität\n\nInput: significance\nOutput: Bedeutung\n\nInput: battery\nOutput: Körperverletzung\n\nInput: approach\nOutput: Annäherung\n\nInput: liberation\nOutput: Befreiung" } }, "71": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: preparation\nOutput: Vorbereitung\n\nInput: sequence\nOutput: Folge\n\nInput: algorithm\nOutput: Algorithmus\n\nInput: fungus\nOutput: Pilz\n\nInput: stock\nOutput: Vorrat\n\nThe instruction was", "metadata": { "examples_seen": "Input: preparation\nOutput: Vorbereitung\n\nInput: sequence\nOutput: Folge\n\nInput: algorithm\nOutput: Algorithmus\n\nInput: fungus\nOutput: Pilz\n\nInput: stock\nOutput: Vorrat" } }, "72": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sighting\nOutput: Sichtung\n\nInput: violation\nOutput: Verletzung\n\nInput: stage\nOutput: Bühne\n\nInput: condition\nOutput: Verfassung\n\nInput: delegation\nOutput: Delegation\n\nThe instruction was", "metadata": { "examples_seen": "Input: sighting\nOutput: Sichtung\n\nInput: violation\nOutput: Verletzung\n\nInput: stage\nOutput: Bühne\n\nInput: condition\nOutput: Verfassung\n\nInput: delegation\nOutput: Delegation" } }, "73": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pastor\nOutput: Pastor\n\nInput: scholarship\nOutput: Gelehrsamkeit\n\nInput: labour\nOutput: gebären\n\nInput: jet\nOutput: Strahl\n\nInput: dawn\nOutput: Dämmerung\n\nThe instruction was", "metadata": { "examples_seen": "Input: pastor\nOutput: Pastor\n\nInput: scholarship\nOutput: Gelehrsamkeit\n\nInput: labour\nOutput: gebären\n\nInput: jet\nOutput: Strahl\n\nInput: dawn\nOutput: Dämmerung" } }, "74": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: villain\nOutput: Bösewicht\n\nInput: inventory\nOutput: Inventar\n\nInput: psychology\nOutput: Psychologie\n\nInput: reduction\nOutput: Reduktion\n\nInput: documentation\nOutput: Dokumentation\n\nThe instruction was", "metadata": { "examples_seen": "Input: villain\nOutput: Bösewicht\n\nInput: inventory\nOutput: Inventar\n\nInput: psychology\nOutput: Psychologie\n\nInput: reduction\nOutput: Reduktion\n\nInput: documentation\nOutput: Dokumentation" } }, "75": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: plutonium\nOutput: Plutonium\n\nInput: privilege\nOutput: Privileg\n\nInput: college\nOutput: Berufskolleg\n\nInput: battery\nOutput: Körperverletzung\n\nInput: abolition\nOutput: Abschaffung des Sklavenhandels\n\nThe instruction was", "metadata": { "examples_seen": "Input: plutonium\nOutput: Plutonium\n\nInput: privilege\nOutput: Privileg\n\nInput: college\nOutput: Berufskolleg\n\nInput: battery\nOutput: Körperverletzung\n\nInput: abolition\nOutput: Abschaffung des Sklavenhandels" } }, "76": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: summit\nOutput: Gipfeltreffen\n\nInput: bill\nOutput: Schnabel\n\nInput: clause\nOutput: Nebensatz\n\nInput: birthday\nOutput: Geburtstag\n\nInput: jazz\nOutput: Jazz\n\nThe instruction was", "metadata": { "examples_seen": "Input: summit\nOutput: Gipfeltreffen\n\nInput: bill\nOutput: Schnabel\n\nInput: clause\nOutput: Nebensatz\n\nInput: birthday\nOutput: Geburtstag\n\nInput: jazz\nOutput: Jazz" } }, "77": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: agent\nOutput: Agens\n\nInput: protection\nOutput: Schutz\n\nInput: birthday\nOutput: Geburtstag\n\nInput: grandfather\nOutput: Großvater\n\nInput: masculine\nOutput: Maskulinum\n\nThe instruction was", "metadata": { "examples_seen": "Input: agent\nOutput: Agens\n\nInput: protection\nOutput: Schutz\n\nInput: birthday\nOutput: Geburtstag\n\nInput: grandfather\nOutput: Großvater\n\nInput: masculine\nOutput: Maskulinum" } }, "78": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: summary\nOutput: Zusammenfassung\n\nInput: breath\nOutput: Atmen\n\nInput: scrutiny\nOutput: genaue Untersuchung\n\nInput: tissue\nOutput: Gewebe\n\nInput: apartment\nOutput: Wohnung\n\nThe instruction was", "metadata": { "examples_seen": "Input: summary\nOutput: Zusammenfassung\n\nInput: breath\nOutput: Atmen\n\nInput: scrutiny\nOutput: genaue Untersuchung\n\nInput: tissue\nOutput: Gewebe\n\nInput: apartment\nOutput: Wohnung" } }, "79": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: load\nOutput: ein Haufen\n\nInput: secrecy\nOutput: Geheimhaltung\n\nInput: trademark\nOutput: Marke\n\nInput: heritage\nOutput: Geburtsrecht\n\nInput: depth\nOutput: Tiefe\n\nThe instruction was", "metadata": { "examples_seen": "Input: load\nOutput: ein Haufen\n\nInput: secrecy\nOutput: Geheimhaltung\n\nInput: trademark\nOutput: Marke\n\nInput: heritage\nOutput: Geburtsrecht\n\nInput: depth\nOutput: Tiefe" } }, "80": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: athletics\nOutput: Athletik\n\nInput: guilt\nOutput: Schuldgefühl\n\nInput: purpose\nOutput: Intention\n\nInput: car\nOutput: Auto\n\nInput: breath\nOutput: Atmen\n\nThe instruction was", "metadata": { "examples_seen": "Input: athletics\nOutput: Athletik\n\nInput: guilt\nOutput: Schuldgefühl\n\nInput: purpose\nOutput: Intention\n\nInput: car\nOutput: Auto\n\nInput: breath\nOutput: Atmen" } }, "81": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pilot\nOutput: Pilot\n\nInput: run\nOutput: Lauf\n\nInput: pirate\nOutput: Pirat\n\nInput: farmer\nOutput: Landwirt\n\nInput: note\nOutput: Notiz\n\nThe instruction was", "metadata": { "examples_seen": "Input: pilot\nOutput: Pilot\n\nInput: run\nOutput: Lauf\n\nInput: pirate\nOutput: Pirat\n\nInput: farmer\nOutput: Landwirt\n\nInput: note\nOutput: Notiz" } }, "82": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: assignment\nOutput: Aufgabe\n\nInput: peat\nOutput: Torf\n\nInput: observation\nOutput: Beobachtung\n\nInput: supplement\nOutput: Ergänzung\n\nInput: venue\nOutput: Schauplatz\n\nThe instruction was", "metadata": { "examples_seen": "Input: assignment\nOutput: Aufgabe\n\nInput: peat\nOutput: Torf\n\nInput: observation\nOutput: Beobachtung\n\nInput: supplement\nOutput: Ergänzung\n\nInput: venue\nOutput: Schauplatz" } }, "83": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: relocation\nOutput: Umzug\n\nInput: molecule\nOutput: Molekül\n\nInput: drink\nOutput: Getränk\n\nInput: thickness\nOutput: Dicke\n\nInput: restraint\nOutput: Zurückhaltung\n\nThe instruction was", "metadata": { "examples_seen": "Input: relocation\nOutput: Umzug\n\nInput: molecule\nOutput: Molekül\n\nInput: drink\nOutput: Getränk\n\nInput: thickness\nOutput: Dicke\n\nInput: restraint\nOutput: Zurückhaltung" } }, "84": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: violation\nOutput: Verletzung\n\nInput: controller\nOutput: Controller\n\nInput: supremacy\nOutput: Vorherrschaft\n\nInput: war\nOutput: Krieg\n\nInput: apology\nOutput: Entschuldigung\n\nThe instruction was", "metadata": { "examples_seen": "Input: violation\nOutput: Verletzung\n\nInput: controller\nOutput: Controller\n\nInput: supremacy\nOutput: Vorherrschaft\n\nInput: war\nOutput: Krieg\n\nInput: apology\nOutput: Entschuldigung" } }, "85": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: instructor\nOutput: Ausbilder\n\nInput: convenience\nOutput: Annehmlichkeit\n\nInput: complexity\nOutput: Komplexität\n\nInput: violence\nOutput: Gewalt\n\nInput: group\nOutput: Gruppe\n\nThe instruction was", "metadata": { "examples_seen": "Input: instructor\nOutput: Ausbilder\n\nInput: convenience\nOutput: Annehmlichkeit\n\nInput: complexity\nOutput: Komplexität\n\nInput: violence\nOutput: Gewalt\n\nInput: group\nOutput: Gruppe" } }, "86": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: diary\nOutput: Tagebuch\n\nInput: scope\nOutput: Umfang\n\nInput: summer\nOutput: Sommer\n\nInput: house\nOutput: Haus\n\nInput: freight\nOutput: Fracht\n\nThe instruction was", "metadata": { "examples_seen": "Input: diary\nOutput: Tagebuch\n\nInput: scope\nOutput: Umfang\n\nInput: summer\nOutput: Sommer\n\nInput: house\nOutput: Haus\n\nInput: freight\nOutput: Fracht" } }, "87": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: shaft\nOutput: Schaft\n\nInput: grief\nOutput: Kummer\n\nInput: conductor\nOutput: Dirigent\n\nInput: fear\nOutput: Angst\n\nInput: rigging\nOutput: Takelage\n\nThe instruction was", "metadata": { "examples_seen": "Input: shaft\nOutput: Schaft\n\nInput: grief\nOutput: Kummer\n\nInput: conductor\nOutput: Dirigent\n\nInput: fear\nOutput: Angst\n\nInput: rigging\nOutput: Takelage" } }, "88": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: rifle\nOutput: Gewehr\n\nInput: house\nOutput: Haus\n\nInput: funk\nOutput: Funk\n\nInput: corn\nOutput: Korn\n\nInput: hunting\nOutput: Jagd\n\nThe instruction was", "metadata": { "examples_seen": "Input: rifle\nOutput: Gewehr\n\nInput: house\nOutput: Haus\n\nInput: funk\nOutput: Funk\n\nInput: corn\nOutput: Korn\n\nInput: hunting\nOutput: Jagd" } }, "89": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: shelf\nOutput: Schelf\n\nInput: denomination\nOutput: Benennung\n\nInput: symmetry\nOutput: Symmetrie\n\nInput: conductor\nOutput: Dirigent\n\nInput: diocese\nOutput: Diözese\n\nThe instruction was", "metadata": { "examples_seen": "Input: shelf\nOutput: Schelf\n\nInput: denomination\nOutput: Benennung\n\nInput: symmetry\nOutput: Symmetrie\n\nInput: conductor\nOutput: Dirigent\n\nInput: diocese\nOutput: Diözese" } }, "90": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: edge\nOutput: Kante\n\nInput: mascot\nOutput: Glücksbringer\n\nInput: settlement\nOutput: Ansiedlung\n\nInput: shooter\nOutput: Knarre\n\nInput: constitution\nOutput: Verfassung\n\nThe instruction was", "metadata": { "examples_seen": "Input: edge\nOutput: Kante\n\nInput: mascot\nOutput: Glücksbringer\n\nInput: settlement\nOutput: Ansiedlung\n\nInput: shooter\nOutput: Knarre\n\nInput: constitution\nOutput: Verfassung" } }, "91": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: monitoring\nOutput: Überwachung\n\nInput: grape\nOutput: Weintraube\n\nInput: stick\nOutput: Stock\n\nInput: security\nOutput: Sicherheit\n\nInput: contamination\nOutput: Verunreinigung ; Verseuchung\n\nThe instruction was", "metadata": { "examples_seen": "Input: monitoring\nOutput: Überwachung\n\nInput: grape\nOutput: Weintraube\n\nInput: stick\nOutput: Stock\n\nInput: security\nOutput: Sicherheit\n\nInput: contamination\nOutput: Verunreinigung ; Verseuchung" } }, "92": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: exposure\nOutput: Belichtung\n\nInput: gold\nOutput: Goldmünze\n\nInput: gathering\nOutput: Zusammenkunft\n\nInput: college\nOutput: Berufskolleg\n\nInput: currency\nOutput: Währung\n\nThe instruction was", "metadata": { "examples_seen": "Input: exposure\nOutput: Belichtung\n\nInput: gold\nOutput: Goldmünze\n\nInput: gathering\nOutput: Zusammenkunft\n\nInput: college\nOutput: Berufskolleg\n\nInput: currency\nOutput: Währung" } }, "93": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: complexity\nOutput: Komplexität\n\nInput: statute\nOutput: Statut\n\nInput: vocabulary\nOutput: Vokabular\n\nInput: monkey\nOutput: Affe\n\nInput: evacuation\nOutput: Evakuierung\n\nThe instruction was", "metadata": { "examples_seen": "Input: complexity\nOutput: Komplexität\n\nInput: statute\nOutput: Statut\n\nInput: vocabulary\nOutput: Vokabular\n\nInput: monkey\nOutput: Affe\n\nInput: evacuation\nOutput: Evakuierung" } }, "94": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: backlash\nOutput: Spiel\n\nInput: call\nOutput: Ruf\n\nInput: collector\nOutput: Kollektor\n\nInput: missile\nOutput: Flugkörper\n\nInput: request\nOutput: Bitte\n\nThe instruction was", "metadata": { "examples_seen": "Input: backlash\nOutput: Spiel\n\nInput: call\nOutput: Ruf\n\nInput: collector\nOutput: Kollektor\n\nInput: missile\nOutput: Flugkörper\n\nInput: request\nOutput: Bitte" } }, "95": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: crash\nOutput: Absturz\n\nInput: operation\nOutput: Betrieb\n\nInput: mutiny\nOutput: Meuterei\n\nInput: resolution\nOutput: Auflösung\n\nInput: distinction\nOutput: Auszeichnung\n\nThe instruction was", "metadata": { "examples_seen": "Input: crash\nOutput: Absturz\n\nInput: operation\nOutput: Betrieb\n\nInput: mutiny\nOutput: Meuterei\n\nInput: resolution\nOutput: Auflösung\n\nInput: distinction\nOutput: Auszeichnung" } }, "96": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: determination\nOutput: Bestimmung\n\nInput: scent\nOutput: Geruch\n\nInput: protest\nOutput: Demonstration\n\nInput: lighter\nOutput: Leichter\n\nInput: example\nOutput: Beispiel\n\nThe instruction was", "metadata": { "examples_seen": "Input: determination\nOutput: Bestimmung\n\nInput: scent\nOutput: Geruch\n\nInput: protest\nOutput: Demonstration\n\nInput: lighter\nOutput: Leichter\n\nInput: example\nOutput: Beispiel" } }, "97": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: masterpiece\nOutput: Meisterstück\n\nInput: moisture\nOutput: Feuchtigkeit\n\nInput: necessity\nOutput: Notwendigkeit\n\nInput: consul\nOutput: Konsul\n\nInput: slip\nOutput: Ausrutscher\n\nThe instruction was", "metadata": { "examples_seen": "Input: masterpiece\nOutput: Meisterstück\n\nInput: moisture\nOutput: Feuchtigkeit\n\nInput: necessity\nOutput: Notwendigkeit\n\nInput: consul\nOutput: Konsul\n\nInput: slip\nOutput: Ausrutscher" } }, "98": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: delivery\nOutput: Lieferung\n\nInput: infrastructure\nOutput: Infrastruktur\n\nInput: outfit\nOutput: Outfit\n\nInput: revelation\nOutput: Offenbarung\n\nInput: load\nOutput: ein Haufen\n\nThe instruction was", "metadata": { "examples_seen": "Input: delivery\nOutput: Lieferung\n\nInput: infrastructure\nOutput: Infrastruktur\n\nInput: outfit\nOutput: Outfit\n\nInput: revelation\nOutput: Offenbarung\n\nInput: load\nOutput: ein Haufen" } }, "99": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: change\nOutput: Rückgeld\n\nInput: documentation\nOutput: Dokumentation\n\nInput: scholarship\nOutput: Gelehrsamkeit\n\nInput: reality\nOutput: Wirklichkeit\n\nInput: track\nOutput: Spurweite\n\nThe instruction was", "metadata": { "examples_seen": "Input: change\nOutput: Rückgeld\n\nInput: documentation\nOutput: Dokumentation\n\nInput: scholarship\nOutput: Gelehrsamkeit\n\nInput: reality\nOutput: Wirklichkeit\n\nInput: track\nOutput: Spurweite" } }, "100": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: viewer\nOutput: Zuschauer\n\nInput: poetry\nOutput: Poesie\n\nInput: warrant\nOutput: Nachweis\n\nInput: label\nOutput: Etikett\n\nInput: breakdown\nOutput: Betriebsstörung\n\nThe instruction was", "metadata": { "examples_seen": "Input: viewer\nOutput: Zuschauer\n\nInput: poetry\nOutput: Poesie\n\nInput: warrant\nOutput: Nachweis\n\nInput: label\nOutput: Etikett\n\nInput: breakdown\nOutput: Betriebsstörung" } } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/induction_input/translation_en-es.json ================================================ { "examples": { "1": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: equipment\nOutput: equipamiento\n\nInput: suspicion\nOutput: sospecha\n\nInput: vote\nOutput: voto\n\nInput: lumber\nOutput: madera aserrada\n\nInput: meter\nOutput: medidor\n\nThe instruction was", "metadata": { "examples_seen": "Input: equipment\nOutput: equipamiento\n\nInput: suspicion\nOutput: sospecha\n\nInput: vote\nOutput: voto\n\nInput: lumber\nOutput: madera aserrada\n\nInput: meter\nOutput: medidor" } }, "2": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: name\nOutput: nombre\n\nInput: pseudonym\nOutput: seudónimo\n\nInput: smuggling\nOutput: contrabando\n\nInput: student\nOutput: estudiante\n\nInput: vector\nOutput: vector\n\nThe instruction was", "metadata": { "examples_seen": "Input: name\nOutput: nombre\n\nInput: pseudonym\nOutput: seudónimo\n\nInput: smuggling\nOutput: contrabando\n\nInput: student\nOutput: estudiante\n\nInput: vector\nOutput: vector" } }, "3": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: intention\nOutput: intención\n\nInput: transcription\nOutput: transcripción\n\nInput: transfer\nOutput: transferencia\n\nInput: promise\nOutput: promesa\n\nInput: graph\nOutput: grafo\n\nThe instruction was", "metadata": { "examples_seen": "Input: intention\nOutput: intención\n\nInput: transcription\nOutput: transcripción\n\nInput: transfer\nOutput: transferencia\n\nInput: promise\nOutput: promesa\n\nInput: graph\nOutput: grafo" } }, "4": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: topic\nOutput: tema\n\nInput: researcher\nOutput: investigador\n\nInput: bombardment\nOutput: bombardeo\n\nInput: transition\nOutput: transición\n\nInput: recommendation\nOutput: recomendación\n\nThe instruction was", "metadata": { "examples_seen": "Input: topic\nOutput: tema\n\nInput: researcher\nOutput: investigador\n\nInput: bombardment\nOutput: bombardeo\n\nInput: transition\nOutput: transición\n\nInput: recommendation\nOutput: recomendación" } }, "5": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: destiny\nOutput: destino\n\nInput: defeat\nOutput: vencimiento\n\nInput: diary\nOutput: diario\n\nInput: manipulation\nOutput: manipulación\n\nInput: bomb\nOutput: bomba\n\nThe instruction was", "metadata": { "examples_seen": "Input: destiny\nOutput: destino\n\nInput: defeat\nOutput: vencimiento\n\nInput: diary\nOutput: diario\n\nInput: manipulation\nOutput: manipulación\n\nInput: bomb\nOutput: bomba" } }, "6": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: project\nOutput: proyecto\n\nInput: revival\nOutput: avivamiento\n\nInput: shaft\nOutput: asta\n\nInput: scrap\nOutput: chatarra\n\nInput: cloud\nOutput: nube\n\nThe instruction was", "metadata": { "examples_seen": "Input: project\nOutput: proyecto\n\nInput: revival\nOutput: avivamiento\n\nInput: shaft\nOutput: asta\n\nInput: scrap\nOutput: chatarra\n\nInput: cloud\nOutput: nube" } }, "7": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: hunger\nOutput: hambre\n\nInput: cotton\nOutput: algodón\n\nInput: lizard\nOutput: lagarto\n\nInput: scholar\nOutput: erudito\n\nInput: proportion\nOutput: proporción\n\nThe instruction was", "metadata": { "examples_seen": "Input: hunger\nOutput: hambre\n\nInput: cotton\nOutput: algodón\n\nInput: lizard\nOutput: lagarto\n\nInput: scholar\nOutput: erudito\n\nInput: proportion\nOutput: proporción" } }, "8": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: cameo\nOutput: camafeo\n\nInput: peace\nOutput: paz\n\nInput: reduction\nOutput: reducción\n\nInput: box\nOutput: caja\n\nInput: field\nOutput: campo\n\nThe instruction was", "metadata": { "examples_seen": "Input: cameo\nOutput: camafeo\n\nInput: peace\nOutput: paz\n\nInput: reduction\nOutput: reducción\n\nInput: box\nOutput: caja\n\nInput: field\nOutput: campo" } }, "9": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: lift\nOutput: ascensor\n\nInput: magazine\nOutput: cargador\n\nInput: deck\nOutput: piso\n\nInput: mode\nOutput: moda\n\nInput: conflict\nOutput: discrepancia\n\nThe instruction was", "metadata": { "examples_seen": "Input: lift\nOutput: ascensor\n\nInput: magazine\nOutput: cargador\n\nInput: deck\nOutput: piso\n\nInput: mode\nOutput: moda\n\nInput: conflict\nOutput: discrepancia" } }, "10": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: spiral\nOutput: hélice\n\nInput: vocabulary\nOutput: vocabulario\n\nInput: drummer\nOutput: vendedor intinerante\n\nInput: west\nOutput: oeste\n\nInput: feud\nOutput: feudo\n\nThe instruction was", "metadata": { "examples_seen": "Input: spiral\nOutput: hélice\n\nInput: vocabulary\nOutput: vocabulario\n\nInput: drummer\nOutput: vendedor intinerante\n\nInput: west\nOutput: oeste\n\nInput: feud\nOutput: feudo" } }, "11": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: affair\nOutput: amorío\n\nInput: emotion\nOutput: afecto\n\nInput: moment\nOutput: momento\n\nInput: arm\nOutput: brazo\n\nInput: curriculum\nOutput: currículo\n\nThe instruction was", "metadata": { "examples_seen": "Input: affair\nOutput: amorío\n\nInput: emotion\nOutput: afecto\n\nInput: moment\nOutput: momento\n\nInput: arm\nOutput: brazo\n\nInput: curriculum\nOutput: currículo" } }, "12": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: cycle\nOutput: ciclo\n\nInput: rudder\nOutput: timón\n\nInput: symphony\nOutput: sinfonía\n\nInput: camping\nOutput: camping\n\nInput: censorship\nOutput: censura\n\nThe instruction was", "metadata": { "examples_seen": "Input: cycle\nOutput: ciclo\n\nInput: rudder\nOutput: timón\n\nInput: symphony\nOutput: sinfonía\n\nInput: camping\nOutput: camping\n\nInput: censorship\nOutput: censura" } }, "13": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: tissue\nOutput: tejido\n\nInput: evolution\nOutput: evolución\n\nInput: rear\nOutput: posterior\n\nInput: factor\nOutput: factor\n\nInput: nectar\nOutput: néctar\n\nThe instruction was", "metadata": { "examples_seen": "Input: tissue\nOutput: tejido\n\nInput: evolution\nOutput: evolución\n\nInput: rear\nOutput: posterior\n\nInput: factor\nOutput: factor\n\nInput: nectar\nOutput: néctar" } }, "14": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: rifle\nOutput: fusil\n\nInput: analogy\nOutput: analogía\n\nInput: marketing\nOutput: mercadotecnia\n\nInput: portal\nOutput: portada\n\nInput: payment\nOutput: pago\n\nThe instruction was", "metadata": { "examples_seen": "Input: rifle\nOutput: fusil\n\nInput: analogy\nOutput: analogía\n\nInput: marketing\nOutput: mercadotecnia\n\nInput: portal\nOutput: portada\n\nInput: payment\nOutput: pago" } }, "15": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: triumph\nOutput: triunfo\n\nInput: modification\nOutput: modificación\n\nInput: establishment\nOutput: establecimiento\n\nInput: installment\nOutput: instalación\n\nInput: finale\nOutput: final\n\nThe instruction was", "metadata": { "examples_seen": "Input: triumph\nOutput: triunfo\n\nInput: modification\nOutput: modificación\n\nInput: establishment\nOutput: establecimiento\n\nInput: installment\nOutput: instalación\n\nInput: finale\nOutput: final" } }, "16": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: essay\nOutput: ensayo\n\nInput: count\nOutput: punto\n\nInput: battleship\nOutput: acorazado\n\nInput: circle\nOutput: círculo\n\nInput: isotope\nOutput: isótopo\n\nThe instruction was", "metadata": { "examples_seen": "Input: essay\nOutput: ensayo\n\nInput: count\nOutput: punto\n\nInput: battleship\nOutput: acorazado\n\nInput: circle\nOutput: círculo\n\nInput: isotope\nOutput: isótopo" } }, "17": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: classification\nOutput: clasificación\n\nInput: credibility\nOutput: credibilidad\n\nInput: duty\nOutput: deber\n\nInput: recovery\nOutput: recuperación\n\nInput: fauna\nOutput: fauna\n\nThe instruction was", "metadata": { "examples_seen": "Input: classification\nOutput: clasificación\n\nInput: credibility\nOutput: credibilidad\n\nInput: duty\nOutput: deber\n\nInput: recovery\nOutput: recuperación\n\nInput: fauna\nOutput: fauna" } }, "18": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: classification\nOutput: clasificación\n\nInput: administration\nOutput: administración\n\nInput: prequel\nOutput: precuela\n\nInput: collaborator\nOutput: colaborador\n\nInput: home\nOutput: hogar\n\nThe instruction was", "metadata": { "examples_seen": "Input: classification\nOutput: clasificación\n\nInput: administration\nOutput: administración\n\nInput: prequel\nOutput: precuela\n\nInput: collaborator\nOutput: colaborador\n\nInput: home\nOutput: hogar" } }, "19": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bay\nOutput: alazán\n\nInput: funeral\nOutput: funeral\n\nInput: lesson\nOutput: lección\n\nInput: cloud\nOutput: nube\n\nInput: surgery\nOutput: cirugía\n\nThe instruction was", "metadata": { "examples_seen": "Input: bay\nOutput: alazán\n\nInput: funeral\nOutput: funeral\n\nInput: lesson\nOutput: lección\n\nInput: cloud\nOutput: nube\n\nInput: surgery\nOutput: cirugía" } }, "20": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: opinion\nOutput: opinión\n\nInput: contest\nOutput: concurso\n\nInput: thing\nOutput: cosa\n\nInput: rock\nOutput: piedra\n\nInput: sequence\nOutput: secuencia\n\nThe instruction was", "metadata": { "examples_seen": "Input: opinion\nOutput: opinión\n\nInput: contest\nOutput: concurso\n\nInput: thing\nOutput: cosa\n\nInput: rock\nOutput: piedra\n\nInput: sequence\nOutput: secuencia" } }, "21": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: tide\nOutput: marea\n\nInput: offer\nOutput: oferta\n\nInput: sponsor\nOutput: patrocinador\n\nInput: appointment\nOutput: cita\n\nInput: mainstream\nOutput: común y corriente\n\nThe instruction was", "metadata": { "examples_seen": "Input: tide\nOutput: marea\n\nInput: offer\nOutput: oferta\n\nInput: sponsor\nOutput: patrocinador\n\nInput: appointment\nOutput: cita\n\nInput: mainstream\nOutput: común y corriente" } }, "22": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: antiquity\nOutput: antigüedad\n\nInput: trunk\nOutput: baúl\n\nInput: revenge\nOutput: venganza\n\nInput: iron\nOutput: hierro\n\nInput: scene\nOutput: escena\n\nThe instruction was", "metadata": { "examples_seen": "Input: antiquity\nOutput: antigüedad\n\nInput: trunk\nOutput: baúl\n\nInput: revenge\nOutput: venganza\n\nInput: iron\nOutput: hierro\n\nInput: scene\nOutput: escena" } }, "23": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: disturbance\nOutput: perturbación\n\nInput: summit\nOutput: cumbre\n\nInput: canal\nOutput: canal\n\nInput: noon\nOutput: mediodía\n\nInput: instrument\nOutput: instrumento\n\nThe instruction was", "metadata": { "examples_seen": "Input: disturbance\nOutput: perturbación\n\nInput: summit\nOutput: cumbre\n\nInput: canal\nOutput: canal\n\nInput: noon\nOutput: mediodía\n\nInput: instrument\nOutput: instrumento" } }, "24": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: attack\nOutput: ataque\n\nInput: crest\nOutput: cresta\n\nInput: cane\nOutput: caña\n\nInput: seller\nOutput: vendedor\n\nInput: joy\nOutput: alegría\n\nThe instruction was", "metadata": { "examples_seen": "Input: attack\nOutput: ataque\n\nInput: crest\nOutput: cresta\n\nInput: cane\nOutput: caña\n\nInput: seller\nOutput: vendedor\n\nInput: joy\nOutput: alegría" } }, "25": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: railroad\nOutput: ferrocarril\n\nInput: corruption\nOutput: corrupción\n\nInput: camping\nOutput: camping\n\nInput: pony\nOutput: poni\n\nInput: deer\nOutput: ciervo\n\nThe instruction was", "metadata": { "examples_seen": "Input: railroad\nOutput: ferrocarril\n\nInput: corruption\nOutput: corrupción\n\nInput: camping\nOutput: camping\n\nInput: pony\nOutput: poni\n\nInput: deer\nOutput: ciervo" } }, "26": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pack\nOutput: jauría\n\nInput: beak\nOutput: pico\n\nInput: interior\nOutput: interior\n\nInput: jaw\nOutput: mandíbula\n\nInput: score\nOutput: partitura\n\nThe instruction was", "metadata": { "examples_seen": "Input: pack\nOutput: jauría\n\nInput: beak\nOutput: pico\n\nInput: interior\nOutput: interior\n\nInput: jaw\nOutput: mandíbula\n\nInput: score\nOutput: partitura" } }, "27": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: narrative\nOutput: narrativa\n\nInput: backdrop\nOutput: bambalina\n\nInput: resource\nOutput: recurso\n\nInput: steam\nOutput: vapor\n\nInput: foliage\nOutput: follaje\n\nThe instruction was", "metadata": { "examples_seen": "Input: narrative\nOutput: narrativa\n\nInput: backdrop\nOutput: bambalina\n\nInput: resource\nOutput: recurso\n\nInput: steam\nOutput: vapor\n\nInput: foliage\nOutput: follaje" } }, "28": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: recipe\nOutput: receta\n\nInput: city\nOutput: ciudad\n\nInput: contender\nOutput: contendiente\n\nInput: status\nOutput: estado\n\nInput: pile\nOutput: montón\n\nThe instruction was", "metadata": { "examples_seen": "Input: recipe\nOutput: receta\n\nInput: city\nOutput: ciudad\n\nInput: contender\nOutput: contendiente\n\nInput: status\nOutput: estado\n\nInput: pile\nOutput: montón" } }, "29": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: requirement\nOutput: exigencia\n\nInput: composer\nOutput: compositor\n\nInput: label\nOutput: etiqueta\n\nInput: mention\nOutput: mención\n\nInput: leisure\nOutput: ocio\n\nThe instruction was", "metadata": { "examples_seen": "Input: requirement\nOutput: exigencia\n\nInput: composer\nOutput: compositor\n\nInput: label\nOutput: etiqueta\n\nInput: mention\nOutput: mención\n\nInput: leisure\nOutput: ocio" } }, "30": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: selection\nOutput: selección\n\nInput: decade\nOutput: década\n\nInput: tone\nOutput: tono\n\nInput: mathematician\nOutput: matemático\n\nInput: simulation\nOutput: simulación\n\nThe instruction was", "metadata": { "examples_seen": "Input: selection\nOutput: selección\n\nInput: decade\nOutput: década\n\nInput: tone\nOutput: tono\n\nInput: mathematician\nOutput: matemático\n\nInput: simulation\nOutput: simulación" } }, "31": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: superstructure\nOutput: superestructura\n\nInput: sailing\nOutput: navegación\n\nInput: kitchen\nOutput: cocina\n\nInput: whale\nOutput: ballena\n\nInput: television\nOutput: televisión\n\nThe instruction was", "metadata": { "examples_seen": "Input: superstructure\nOutput: superestructura\n\nInput: sailing\nOutput: navegación\n\nInput: kitchen\nOutput: cocina\n\nInput: whale\nOutput: ballena\n\nInput: television\nOutput: televisión" } }, "32": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: vector\nOutput: vector\n\nInput: punch\nOutput: ponche\n\nInput: maid\nOutput: doncella\n\nInput: context\nOutput: contexto\n\nInput: symphony\nOutput: sinfonía\n\nThe instruction was", "metadata": { "examples_seen": "Input: vector\nOutput: vector\n\nInput: punch\nOutput: ponche\n\nInput: maid\nOutput: doncella\n\nInput: context\nOutput: contexto\n\nInput: symphony\nOutput: sinfonía" } }, "33": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: legitimacy\nOutput: legitimidad\n\nInput: uranium\nOutput: uranio\n\nInput: agenda\nOutput: agenda\n\nInput: merchant\nOutput: comerciante\n\nInput: hamlet\nOutput: aldehuela\n\nThe instruction was", "metadata": { "examples_seen": "Input: legitimacy\nOutput: legitimidad\n\nInput: uranium\nOutput: uranio\n\nInput: agenda\nOutput: agenda\n\nInput: merchant\nOutput: comerciante\n\nInput: hamlet\nOutput: aldehuela" } }, "34": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: electorate\nOutput: electorado\n\nInput: bow\nOutput: arco\n\nInput: spring\nOutput: resorte\n\nInput: agent\nOutput: agente\n\nInput: sculptor\nOutput: escultor\n\nThe instruction was", "metadata": { "examples_seen": "Input: electorate\nOutput: electorado\n\nInput: bow\nOutput: arco\n\nInput: spring\nOutput: resorte\n\nInput: agent\nOutput: agente\n\nInput: sculptor\nOutput: escultor" } }, "35": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: governor\nOutput: gobernador\n\nInput: development\nOutput: desarrollo\n\nInput: summary\nOutput: resumen\n\nInput: distance\nOutput: distancia\n\nInput: poll\nOutput: encuesta\n\nThe instruction was", "metadata": { "examples_seen": "Input: governor\nOutput: gobernador\n\nInput: development\nOutput: desarrollo\n\nInput: summary\nOutput: resumen\n\nInput: distance\nOutput: distancia\n\nInput: poll\nOutput: encuesta" } }, "36": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: law\nOutput: ley\n\nInput: capability\nOutput: capacidad\n\nInput: crew\nOutput: tripulación\n\nInput: antiquity\nOutput: antigüedad\n\nInput: sphere\nOutput: esfera\n\nThe instruction was", "metadata": { "examples_seen": "Input: law\nOutput: ley\n\nInput: capability\nOutput: capacidad\n\nInput: crew\nOutput: tripulación\n\nInput: antiquity\nOutput: antigüedad\n\nInput: sphere\nOutput: esfera" } }, "37": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: fusion\nOutput: fusión\n\nInput: amount\nOutput: cantidad\n\nInput: metre\nOutput: metro\n\nInput: cuisine\nOutput: cocina\n\nInput: presence\nOutput: presencia\n\nThe instruction was", "metadata": { "examples_seen": "Input: fusion\nOutput: fusión\n\nInput: amount\nOutput: cantidad\n\nInput: metre\nOutput: metro\n\nInput: cuisine\nOutput: cocina\n\nInput: presence\nOutput: presencia" } }, "38": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: folklore\nOutput: folclore\n\nInput: service\nOutput: servicio\n\nInput: business\nOutput: negocio\n\nInput: fault\nOutput: culpa\n\nInput: authenticity\nOutput: autenticidad\n\nThe instruction was", "metadata": { "examples_seen": "Input: folklore\nOutput: folclore\n\nInput: service\nOutput: servicio\n\nInput: business\nOutput: negocio\n\nInput: fault\nOutput: culpa\n\nInput: authenticity\nOutput: autenticidad" } }, "39": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: millimetre\nOutput: milímetro\n\nInput: cast\nOutput: reparto\n\nInput: action\nOutput: acción\n\nInput: memory\nOutput: memoria\n\nInput: drunk\nOutput: ebriedad\n\nThe instruction was", "metadata": { "examples_seen": "Input: millimetre\nOutput: milímetro\n\nInput: cast\nOutput: reparto\n\nInput: action\nOutput: acción\n\nInput: memory\nOutput: memoria\n\nInput: drunk\nOutput: ebriedad" } }, "40": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: income\nOutput: ingreso\n\nInput: hook\nOutput: anzuelo\n\nInput: summer\nOutput: verano\n\nInput: coal\nOutput: carbón\n\nInput: soldier\nOutput: soldado\n\nThe instruction was", "metadata": { "examples_seen": "Input: income\nOutput: ingreso\n\nInput: hook\nOutput: anzuelo\n\nInput: summer\nOutput: verano\n\nInput: coal\nOutput: carbón\n\nInput: soldier\nOutput: soldado" } }, "41": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: achievement\nOutput: logro\n\nInput: witchcraft\nOutput: brujería\n\nInput: plenty\nOutput: abundancia\n\nInput: virtue\nOutput: virtud\n\nInput: soap\nOutput: jabón\n\nThe instruction was", "metadata": { "examples_seen": "Input: achievement\nOutput: logro\n\nInput: witchcraft\nOutput: brujería\n\nInput: plenty\nOutput: abundancia\n\nInput: virtue\nOutput: virtud\n\nInput: soap\nOutput: jabón" } }, "42": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: fit\nOutput: convulción\n\nInput: hop\nOutput: lúpulo\n\nInput: sociology\nOutput: sociología\n\nInput: reserve\nOutput: reserva\n\nInput: tip\nOutput: propina\n\nThe instruction was", "metadata": { "examples_seen": "Input: fit\nOutput: convulción\n\nInput: hop\nOutput: lúpulo\n\nInput: sociology\nOutput: sociología\n\nInput: reserve\nOutput: reserva\n\nInput: tip\nOutput: propina" } }, "43": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: wing\nOutput: ala\n\nInput: period\nOutput: período\n\nInput: conspiracy\nOutput: conspiración\n\nInput: isotope\nOutput: isótopo\n\nInput: wolf\nOutput: lobo\n\nThe instruction was", "metadata": { "examples_seen": "Input: wing\nOutput: ala\n\nInput: period\nOutput: período\n\nInput: conspiracy\nOutput: conspiración\n\nInput: isotope\nOutput: isótopo\n\nInput: wolf\nOutput: lobo" } }, "44": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: drift\nOutput: ir a la deriva\n\nInput: gathering\nOutput: fiesta\n\nInput: announcement\nOutput: anunciación\n\nInput: date\nOutput: fecha\n\nInput: bottom\nOutput: fondo\n\nThe instruction was", "metadata": { "examples_seen": "Input: drift\nOutput: ir a la deriva\n\nInput: gathering\nOutput: fiesta\n\nInput: announcement\nOutput: anunciación\n\nInput: date\nOutput: fecha\n\nInput: bottom\nOutput: fondo" } }, "45": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pursuit\nOutput: persecución\n\nInput: piercing\nOutput: pirsin\n\nInput: founder\nOutput: fundador\n\nInput: friendship\nOutput: amistad\n\nInput: art\nOutput: arte\n\nThe instruction was", "metadata": { "examples_seen": "Input: pursuit\nOutput: persecución\n\nInput: piercing\nOutput: pirsin\n\nInput: founder\nOutput: fundador\n\nInput: friendship\nOutput: amistad\n\nInput: art\nOutput: arte" } }, "46": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: terrace\nOutput: terraza\n\nInput: emblem\nOutput: emblema\n\nInput: stance\nOutput: postura\n\nInput: side\nOutput: lado\n\nInput: assertion\nOutput: afirmación\n\nThe instruction was", "metadata": { "examples_seen": "Input: terrace\nOutput: terraza\n\nInput: emblem\nOutput: emblema\n\nInput: stance\nOutput: postura\n\nInput: side\nOutput: lado\n\nInput: assertion\nOutput: afirmación" } }, "47": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: entry\nOutput: entrada\n\nInput: zoo\nOutput: zoo\n\nInput: preparation\nOutput: preparación\n\nInput: battery\nOutput: pila\n\nInput: chain\nOutput: cadena\n\nThe instruction was", "metadata": { "examples_seen": "Input: entry\nOutput: entrada\n\nInput: zoo\nOutput: zoo\n\nInput: preparation\nOutput: preparación\n\nInput: battery\nOutput: pila\n\nInput: chain\nOutput: cadena" } }, "48": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: climax\nOutput: clímax\n\nInput: command\nOutput: orden\n\nInput: coral\nOutput: coral\n\nInput: disturbance\nOutput: perturbación\n\nInput: cooperation\nOutput: cooperación\n\nThe instruction was", "metadata": { "examples_seen": "Input: climax\nOutput: clímax\n\nInput: command\nOutput: orden\n\nInput: coral\nOutput: coral\n\nInput: disturbance\nOutput: perturbación\n\nInput: cooperation\nOutput: cooperación" } }, "49": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: overlap\nOutput: solapo\n\nInput: coalition\nOutput: coalición\n\nInput: continuity\nOutput: continuidad\n\nInput: exercise\nOutput: ejercicio\n\nInput: tradition\nOutput: tradición\n\nThe instruction was", "metadata": { "examples_seen": "Input: overlap\nOutput: solapo\n\nInput: coalition\nOutput: coalición\n\nInput: continuity\nOutput: continuidad\n\nInput: exercise\nOutput: ejercicio\n\nInput: tradition\nOutput: tradición" } }, "50": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: alternative\nOutput: alternativo\n\nInput: stroke\nOutput: golpe\n\nInput: manufacturing\nOutput: fabricación\n\nInput: mock\nOutput: imitación\n\nInput: pseudonym\nOutput: seudónimo\n\nThe instruction was", "metadata": { "examples_seen": "Input: alternative\nOutput: alternativo\n\nInput: stroke\nOutput: golpe\n\nInput: manufacturing\nOutput: fabricación\n\nInput: mock\nOutput: imitación\n\nInput: pseudonym\nOutput: seudónimo" } }, "51": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: mate\nOutput: pareja\n\nInput: influx\nOutput: entrada\n\nInput: assembly\nOutput: asamblea\n\nInput: consultation\nOutput: consulta\n\nInput: mandate\nOutput: mandato\n\nThe instruction was", "metadata": { "examples_seen": "Input: mate\nOutput: pareja\n\nInput: influx\nOutput: entrada\n\nInput: assembly\nOutput: asamblea\n\nInput: consultation\nOutput: consulta\n\nInput: mandate\nOutput: mandato" } }, "52": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: liquor\nOutput: licor\n\nInput: racism\nOutput: racismo\n\nInput: recovery\nOutput: recuperación\n\nInput: neutrality\nOutput: neutralidad\n\nInput: acid\nOutput: ácido\n\nThe instruction was", "metadata": { "examples_seen": "Input: liquor\nOutput: licor\n\nInput: racism\nOutput: racismo\n\nInput: recovery\nOutput: recuperación\n\nInput: neutrality\nOutput: neutralidad\n\nInput: acid\nOutput: ácido" } }, "53": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dragon\nOutput: dragón\n\nInput: liberation\nOutput: liberación\n\nInput: meditation\nOutput: meditación\n\nInput: belief\nOutput: creencia\n\nInput: piano\nOutput: piano\n\nThe instruction was", "metadata": { "examples_seen": "Input: dragon\nOutput: dragón\n\nInput: liberation\nOutput: liberación\n\nInput: meditation\nOutput: meditación\n\nInput: belief\nOutput: creencia\n\nInput: piano\nOutput: piano" } }, "54": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: southeast\nOutput: sureste\n\nInput: spelling\nOutput: ortografía\n\nInput: possibility\nOutput: posibilidad\n\nInput: persecution\nOutput: persecución\n\nInput: uncle\nOutput: tío\n\nThe instruction was", "metadata": { "examples_seen": "Input: southeast\nOutput: sureste\n\nInput: spelling\nOutput: ortografía\n\nInput: possibility\nOutput: posibilidad\n\nInput: persecution\nOutput: persecución\n\nInput: uncle\nOutput: tío" } }, "55": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: element\nOutput: elemento\n\nInput: release\nOutput: versión\n\nInput: attention\nOutput: atención\n\nInput: judgment\nOutput: juicio\n\nInput: store\nOutput: depósito\n\nThe instruction was", "metadata": { "examples_seen": "Input: element\nOutput: elemento\n\nInput: release\nOutput: versión\n\nInput: attention\nOutput: atención\n\nInput: judgment\nOutput: juicio\n\nInput: store\nOutput: depósito" } }, "56": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: podium\nOutput: podio\n\nInput: galaxy\nOutput: galaxia\n\nInput: readiness\nOutput: preparación\n\nInput: crack\nOutput: chasquido\n\nInput: spin\nOutput: vuelta\n\nThe instruction was", "metadata": { "examples_seen": "Input: podium\nOutput: podio\n\nInput: galaxy\nOutput: galaxia\n\nInput: readiness\nOutput: preparación\n\nInput: crack\nOutput: chasquido\n\nInput: spin\nOutput: vuelta" } }, "57": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: lifetime\nOutput: eternidad\n\nInput: cooling\nOutput: enfriamiento\n\nInput: survivor\nOutput: sobreviviente\n\nInput: assessment\nOutput: evaluación\n\nInput: dance\nOutput: baile\n\nThe instruction was", "metadata": { "examples_seen": "Input: lifetime\nOutput: eternidad\n\nInput: cooling\nOutput: enfriamiento\n\nInput: survivor\nOutput: sobreviviente\n\nInput: assessment\nOutput: evaluación\n\nInput: dance\nOutput: baile" } }, "58": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: hand\nOutput: mano\n\nInput: expertise\nOutput: pericia\n\nInput: division\nOutput: división\n\nInput: quest\nOutput: búsqueda\n\nInput: liability\nOutput: responsabilidad\n\nThe instruction was", "metadata": { "examples_seen": "Input: hand\nOutput: mano\n\nInput: expertise\nOutput: pericia\n\nInput: division\nOutput: división\n\nInput: quest\nOutput: búsqueda\n\nInput: liability\nOutput: responsabilidad" } }, "59": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: data\nOutput: datos\n\nInput: trait\nOutput: rasgo\n\nInput: nursery\nOutput: criadero\n\nInput: disk\nOutput: disco\n\nInput: couple\nOutput: un par de\n\nThe instruction was", "metadata": { "examples_seen": "Input: data\nOutput: datos\n\nInput: trait\nOutput: rasgo\n\nInput: nursery\nOutput: criadero\n\nInput: disk\nOutput: disco\n\nInput: couple\nOutput: un par de" } }, "60": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: breast\nOutput: pechuga\n\nInput: columnist\nOutput: columnista\n\nInput: scope\nOutput: mira\n\nInput: toilet\nOutput: inodoro\n\nInput: check\nOutput: cuenta\n\nThe instruction was", "metadata": { "examples_seen": "Input: breast\nOutput: pechuga\n\nInput: columnist\nOutput: columnista\n\nInput: scope\nOutput: mira\n\nInput: toilet\nOutput: inodoro\n\nInput: check\nOutput: cuenta" } }, "61": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: defence\nOutput: defensa\n\nInput: profit\nOutput: ganancia\n\nInput: grass\nOutput: hierba\n\nInput: reliability\nOutput: fiabilidad\n\nInput: lane\nOutput: carrera\n\nThe instruction was", "metadata": { "examples_seen": "Input: defence\nOutput: defensa\n\nInput: profit\nOutput: ganancia\n\nInput: grass\nOutput: hierba\n\nInput: reliability\nOutput: fiabilidad\n\nInput: lane\nOutput: carrera" } }, "62": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: group\nOutput: grupo\n\nInput: hierarchy\nOutput: jerarquía\n\nInput: exhaust\nOutput: tubo de escape\n\nInput: limb\nOutput: miembro\n\nInput: whale\nOutput: ballena\n\nThe instruction was", "metadata": { "examples_seen": "Input: group\nOutput: grupo\n\nInput: hierarchy\nOutput: jerarquía\n\nInput: exhaust\nOutput: tubo de escape\n\nInput: limb\nOutput: miembro\n\nInput: whale\nOutput: ballena" } }, "63": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: draught\nOutput: corriente\n\nInput: pianist\nOutput: pianista\n\nInput: pose\nOutput: pose\n\nInput: yard\nOutput: patio\n\nInput: chemical\nOutput: producto químico\n\nThe instruction was", "metadata": { "examples_seen": "Input: draught\nOutput: corriente\n\nInput: pianist\nOutput: pianista\n\nInput: pose\nOutput: pose\n\nInput: yard\nOutput: patio\n\nInput: chemical\nOutput: producto químico" } }, "64": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: behavior\nOutput: comportamiento\n\nInput: hour\nOutput: hora\n\nInput: iron\nOutput: hierro\n\nInput: claim\nOutput: concesión\n\nInput: component\nOutput: componente\n\nThe instruction was", "metadata": { "examples_seen": "Input: behavior\nOutput: comportamiento\n\nInput: hour\nOutput: hora\n\nInput: iron\nOutput: hierro\n\nInput: claim\nOutput: concesión\n\nInput: component\nOutput: componente" } }, "65": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: abuse\nOutput: abuso\n\nInput: concrete\nOutput: hormigón\n\nInput: intersection\nOutput: intersección\n\nInput: cavity\nOutput: cavidad\n\nInput: sole\nOutput: suela\n\nThe instruction was", "metadata": { "examples_seen": "Input: abuse\nOutput: abuso\n\nInput: concrete\nOutput: hormigón\n\nInput: intersection\nOutput: intersección\n\nInput: cavity\nOutput: cavidad\n\nInput: sole\nOutput: suela" } }, "66": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: rotation\nOutput: rotación\n\nInput: bar\nOutput: barra\n\nInput: sphere\nOutput: esfera\n\nInput: planet\nOutput: planeta\n\nInput: ceasefire\nOutput: alto el fuego\n\nThe instruction was", "metadata": { "examples_seen": "Input: rotation\nOutput: rotación\n\nInput: bar\nOutput: barra\n\nInput: sphere\nOutput: esfera\n\nInput: planet\nOutput: planeta\n\nInput: ceasefire\nOutput: alto el fuego" } }, "67": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: boycott\nOutput: boicot\n\nInput: expectation\nOutput: expectativa\n\nInput: parody\nOutput: parodia\n\nInput: cable\nOutput: cable\n\nInput: measurement\nOutput: medida\n\nThe instruction was", "metadata": { "examples_seen": "Input: boycott\nOutput: boicot\n\nInput: expectation\nOutput: expectativa\n\nInput: parody\nOutput: parodia\n\nInput: cable\nOutput: cable\n\nInput: measurement\nOutput: medida" } }, "68": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: battery\nOutput: pila\n\nInput: port\nOutput: puerto\n\nInput: coordination\nOutput: coordinación\n\nInput: county\nOutput: condado\n\nInput: orbit\nOutput: órbita\n\nThe instruction was", "metadata": { "examples_seen": "Input: battery\nOutput: pila\n\nInput: port\nOutput: puerto\n\nInput: coordination\nOutput: coordinación\n\nInput: county\nOutput: condado\n\nInput: orbit\nOutput: órbita" } }, "69": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: crusade\nOutput: cruzada\n\nInput: companion\nOutput: compañero\n\nInput: shell\nOutput: cáscara\n\nInput: choice\nOutput: opción\n\nInput: wrestler\nOutput: luchador\n\nThe instruction was", "metadata": { "examples_seen": "Input: crusade\nOutput: cruzada\n\nInput: companion\nOutput: compañero\n\nInput: shell\nOutput: cáscara\n\nInput: choice\nOutput: opción\n\nInput: wrestler\nOutput: luchador" } }, "70": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: condition\nOutput: condición\n\nInput: tennis\nOutput: tenis\n\nInput: step\nOutput: paso\n\nInput: expert\nOutput: perito\n\nInput: consideration\nOutput: consideración\n\nThe instruction was", "metadata": { "examples_seen": "Input: condition\nOutput: condición\n\nInput: tennis\nOutput: tenis\n\nInput: step\nOutput: paso\n\nInput: expert\nOutput: perito\n\nInput: consideration\nOutput: consideración" } }, "71": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: invitation\nOutput: invitación\n\nInput: injection\nOutput: inyección\n\nInput: consensus\nOutput: consenso\n\nInput: punch\nOutput: ponche\n\nInput: balloon\nOutput: globo\n\nThe instruction was", "metadata": { "examples_seen": "Input: invitation\nOutput: invitación\n\nInput: injection\nOutput: inyección\n\nInput: consensus\nOutput: consenso\n\nInput: punch\nOutput: ponche\n\nInput: balloon\nOutput: globo" } }, "72": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: recapture\nOutput: reconquista\n\nInput: poem\nOutput: poema\n\nInput: scrap\nOutput: chatarra\n\nInput: booklet\nOutput: libreto\n\nInput: marriage\nOutput: unión\n\nThe instruction was", "metadata": { "examples_seen": "Input: recapture\nOutput: reconquista\n\nInput: poem\nOutput: poema\n\nInput: scrap\nOutput: chatarra\n\nInput: booklet\nOutput: libreto\n\nInput: marriage\nOutput: unión" } }, "73": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: enclosure\nOutput: encierro\n\nInput: gain\nOutput: ganancia\n\nInput: intervention\nOutput: intervención\n\nInput: tower\nOutput: torre\n\nInput: drunk\nOutput: ebriedad\n\nThe instruction was", "metadata": { "examples_seen": "Input: enclosure\nOutput: encierro\n\nInput: gain\nOutput: ganancia\n\nInput: intervention\nOutput: intervención\n\nInput: tower\nOutput: torre\n\nInput: drunk\nOutput: ebriedad" } }, "74": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pace\nOutput: paso\n\nInput: basket\nOutput: canasta\n\nInput: tax\nOutput: impuesto\n\nInput: target\nOutput: blanco\n\nInput: tenure\nOutput: antigüedad\n\nThe instruction was", "metadata": { "examples_seen": "Input: pace\nOutput: paso\n\nInput: basket\nOutput: canasta\n\nInput: tax\nOutput: impuesto\n\nInput: target\nOutput: blanco\n\nInput: tenure\nOutput: antigüedad" } }, "75": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: grape\nOutput: uva\n\nInput: threat\nOutput: amenaza\n\nInput: adoption\nOutput: adopción\n\nInput: scenery\nOutput: decorado\n\nInput: apparatus\nOutput: aparato\n\nThe instruction was", "metadata": { "examples_seen": "Input: grape\nOutput: uva\n\nInput: threat\nOutput: amenaza\n\nInput: adoption\nOutput: adopción\n\nInput: scenery\nOutput: decorado\n\nInput: apparatus\nOutput: aparato" } }, "76": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: layer\nOutput: gallina ponedora\n\nInput: date\nOutput: fecha\n\nInput: survey\nOutput: supervisión\n\nInput: homage\nOutput: homenaje\n\nInput: confusion\nOutput: confusión\n\nThe instruction was", "metadata": { "examples_seen": "Input: layer\nOutput: gallina ponedora\n\nInput: date\nOutput: fecha\n\nInput: survey\nOutput: supervisión\n\nInput: homage\nOutput: homenaje\n\nInput: confusion\nOutput: confusión" } }, "77": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: fraternity\nOutput: fraternidad\n\nInput: database\nOutput: base de datos\n\nInput: isotope\nOutput: isótopo\n\nInput: purpose\nOutput: propósito\n\nInput: food\nOutput: alimento\n\nThe instruction was", "metadata": { "examples_seen": "Input: fraternity\nOutput: fraternidad\n\nInput: database\nOutput: base de datos\n\nInput: isotope\nOutput: isótopo\n\nInput: purpose\nOutput: propósito\n\nInput: food\nOutput: alimento" } }, "78": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: courage\nOutput: valor\n\nInput: pilot\nOutput: piloto\n\nInput: run\nOutput: galopar\n\nInput: monopoly\nOutput: monopolio\n\nInput: bag\nOutput: bolsa\n\nThe instruction was", "metadata": { "examples_seen": "Input: courage\nOutput: valor\n\nInput: pilot\nOutput: piloto\n\nInput: run\nOutput: galopar\n\nInput: monopoly\nOutput: monopolio\n\nInput: bag\nOutput: bolsa" } }, "79": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: collaborator\nOutput: colaborador\n\nInput: imprisonment\nOutput: encarcelamiento\n\nInput: cheek\nOutput: nalga\n\nInput: gift\nOutput: don\n\nInput: dish\nOutput: plato\n\nThe instruction was", "metadata": { "examples_seen": "Input: collaborator\nOutput: colaborador\n\nInput: imprisonment\nOutput: encarcelamiento\n\nInput: cheek\nOutput: nalga\n\nInput: gift\nOutput: don\n\nInput: dish\nOutput: plato" } }, "80": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: physicist\nOutput: físico\n\nInput: prediction\nOutput: predicción\n\nInput: analyst\nOutput: analista\n\nInput: pole\nOutput: polo\n\nInput: climbing\nOutput: escalada\n\nThe instruction was", "metadata": { "examples_seen": "Input: physicist\nOutput: físico\n\nInput: prediction\nOutput: predicción\n\nInput: analyst\nOutput: analista\n\nInput: pole\nOutput: polo\n\nInput: climbing\nOutput: escalada" } }, "81": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: embassy\nOutput: embajada\n\nInput: wrestler\nOutput: luchador\n\nInput: opener\nOutput: abridor\n\nInput: discourse\nOutput: discurso\n\nInput: war\nOutput: guerra\n\nThe instruction was", "metadata": { "examples_seen": "Input: embassy\nOutput: embajada\n\nInput: wrestler\nOutput: luchador\n\nInput: opener\nOutput: abridor\n\nInput: discourse\nOutput: discurso\n\nInput: war\nOutput: guerra" } }, "82": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: cloth\nOutput: trapo\n\nInput: stunt\nOutput: proeza\n\nInput: violence\nOutput: violencia\n\nInput: group\nOutput: grupo\n\nInput: explosion\nOutput: explosión\n\nThe instruction was", "metadata": { "examples_seen": "Input: cloth\nOutput: trapo\n\nInput: stunt\nOutput: proeza\n\nInput: violence\nOutput: violencia\n\nInput: group\nOutput: grupo\n\nInput: explosion\nOutput: explosión" } }, "83": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: synthesis\nOutput: síntesis\n\nInput: material\nOutput: material\n\nInput: house\nOutput: casa\n\nInput: garage\nOutput: garaje\n\nInput: glider\nOutput: planeador\n\nThe instruction was", "metadata": { "examples_seen": "Input: synthesis\nOutput: síntesis\n\nInput: material\nOutput: material\n\nInput: house\nOutput: casa\n\nInput: garage\nOutput: garaje\n\nInput: glider\nOutput: planeador" } }, "84": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: immunity\nOutput: inmunidad\n\nInput: relay\nOutput: relevos\n\nInput: advice\nOutput: consejo\n\nInput: accident\nOutput: accidente\n\nInput: scope\nOutput: mira\n\nThe instruction was", "metadata": { "examples_seen": "Input: immunity\nOutput: inmunidad\n\nInput: relay\nOutput: relevos\n\nInput: advice\nOutput: consejo\n\nInput: accident\nOutput: accidente\n\nInput: scope\nOutput: mira" } }, "85": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: photographer\nOutput: fotógrafo\n\nInput: unemployment\nOutput: desempleo\n\nInput: arm\nOutput: brazo\n\nInput: creator\nOutput: creador\n\nInput: prevalence\nOutput: predominancia\n\nThe instruction was", "metadata": { "examples_seen": "Input: photographer\nOutput: fotógrafo\n\nInput: unemployment\nOutput: desempleo\n\nInput: arm\nOutput: brazo\n\nInput: creator\nOutput: creador\n\nInput: prevalence\nOutput: predominancia" } }, "86": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: lumber\nOutput: madera aserrada\n\nInput: relay\nOutput: relevos\n\nInput: astronomy\nOutput: astronomía\n\nInput: gathering\nOutput: fiesta\n\nInput: edge\nOutput: ventaja\n\nThe instruction was", "metadata": { "examples_seen": "Input: lumber\nOutput: madera aserrada\n\nInput: relay\nOutput: relevos\n\nInput: astronomy\nOutput: astronomía\n\nInput: gathering\nOutput: fiesta\n\nInput: edge\nOutput: ventaja" } }, "87": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: settlement\nOutput: acuerdo\n\nInput: mobility\nOutput: movilidad\n\nInput: basin\nOutput: cuenca\n\nInput: bicycle\nOutput: bicicleta\n\nInput: boost\nOutput: impulso\n\nThe instruction was", "metadata": { "examples_seen": "Input: settlement\nOutput: acuerdo\n\nInput: mobility\nOutput: movilidad\n\nInput: basin\nOutput: cuenca\n\nInput: bicycle\nOutput: bicicleta\n\nInput: boost\nOutput: impulso" } }, "88": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: security\nOutput: seguridad\n\nInput: sermon\nOutput: sermón\n\nInput: day\nOutput: día\n\nInput: skull\nOutput: calavera\n\nInput: increase\nOutput: aumento\n\nThe instruction was", "metadata": { "examples_seen": "Input: security\nOutput: seguridad\n\nInput: sermon\nOutput: sermón\n\nInput: day\nOutput: día\n\nInput: skull\nOutput: calavera\n\nInput: increase\nOutput: aumento" } }, "89": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: marriage\nOutput: unión\n\nInput: prospect\nOutput: expectativa\n\nInput: analogy\nOutput: analogía\n\nInput: stunt\nOutput: proeza\n\nInput: patch\nOutput: parche\n\nThe instruction was", "metadata": { "examples_seen": "Input: marriage\nOutput: unión\n\nInput: prospect\nOutput: expectativa\n\nInput: analogy\nOutput: analogía\n\nInput: stunt\nOutput: proeza\n\nInput: patch\nOutput: parche" } }, "90": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: synagogue\nOutput: sinagoga\n\nInput: vicinity\nOutput: cercanías\n\nInput: producer\nOutput: productor\n\nInput: collection\nOutput: colección\n\nInput: guilt\nOutput: culpa\n\nThe instruction was", "metadata": { "examples_seen": "Input: synagogue\nOutput: sinagoga\n\nInput: vicinity\nOutput: cercanías\n\nInput: producer\nOutput: productor\n\nInput: collection\nOutput: colección\n\nInput: guilt\nOutput: culpa" } }, "91": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: request\nOutput: solicitud\n\nInput: superiority\nOutput: superioridad\n\nInput: judge\nOutput: juez\n\nInput: reach\nOutput: alcance\n\nInput: fission\nOutput: fisión\n\nThe instruction was", "metadata": { "examples_seen": "Input: request\nOutput: solicitud\n\nInput: superiority\nOutput: superioridad\n\nInput: judge\nOutput: juez\n\nInput: reach\nOutput: alcance\n\nInput: fission\nOutput: fisión" } }, "92": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: outcome\nOutput: resultado\n\nInput: mention\nOutput: mención\n\nInput: narrator\nOutput: narrador\n\nInput: sabotage\nOutput: sabotaje\n\nInput: gap\nOutput: brecha\n\nThe instruction was", "metadata": { "examples_seen": "Input: outcome\nOutput: resultado\n\nInput: mention\nOutput: mención\n\nInput: narrator\nOutput: narrador\n\nInput: sabotage\nOutput: sabotaje\n\nInput: gap\nOutput: brecha" } }, "93": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: example\nOutput: ejemplar\n\nInput: device\nOutput: dispositivo\n\nInput: curtain\nOutput: cortina\n\nInput: potassium\nOutput: potasio\n\nInput: sin\nOutput: pecado\n\nThe instruction was", "metadata": { "examples_seen": "Input: example\nOutput: ejemplar\n\nInput: device\nOutput: dispositivo\n\nInput: curtain\nOutput: cortina\n\nInput: potassium\nOutput: potasio\n\nInput: sin\nOutput: pecado" } }, "94": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: treat\nOutput: sorpresa\n\nInput: elevation\nOutput: altitud\n\nInput: pursuit\nOutput: persecución\n\nInput: button\nOutput: botón\n\nInput: trauma\nOutput: trauma\n\nThe instruction was", "metadata": { "examples_seen": "Input: treat\nOutput: sorpresa\n\nInput: elevation\nOutput: altitud\n\nInput: pursuit\nOutput: persecución\n\nInput: button\nOutput: botón\n\nInput: trauma\nOutput: trauma" } }, "95": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pseudonym\nOutput: seudónimo\n\nInput: change\nOutput: cambio\n\nInput: recapture\nOutput: reconquista\n\nInput: expert\nOutput: perito\n\nInput: segment\nOutput: segmento\n\nThe instruction was", "metadata": { "examples_seen": "Input: pseudonym\nOutput: seudónimo\n\nInput: change\nOutput: cambio\n\nInput: recapture\nOutput: reconquista\n\nInput: expert\nOutput: perito\n\nInput: segment\nOutput: segmento" } }, "96": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: metabolism\nOutput: metabolismo\n\nInput: cancellation\nOutput: cancelación\n\nInput: convoy\nOutput: caravana\n\nInput: inspection\nOutput: inspección\n\nInput: label\nOutput: etiqueta\n\nThe instruction was", "metadata": { "examples_seen": "Input: metabolism\nOutput: metabolismo\n\nInput: cancellation\nOutput: cancelación\n\nInput: convoy\nOutput: caravana\n\nInput: inspection\nOutput: inspección\n\nInput: label\nOutput: etiqueta" } }, "97": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: holiday\nOutput: día feriado\n\nInput: respect\nOutput: respeto\n\nInput: diabetes\nOutput: diabetes\n\nInput: assignment\nOutput: tarea\n\nInput: biographer\nOutput: biógrafo\n\nThe instruction was", "metadata": { "examples_seen": "Input: holiday\nOutput: día feriado\n\nInput: respect\nOutput: respeto\n\nInput: diabetes\nOutput: diabetes\n\nInput: assignment\nOutput: tarea\n\nInput: biographer\nOutput: biógrafo" } }, "98": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: chief\nOutput: jefe\n\nInput: athletics\nOutput: atletismo\n\nInput: perimeter\nOutput: perímetro\n\nInput: disruption\nOutput: desorden\n\nInput: danger\nOutput: peligro\n\nThe instruction was", "metadata": { "examples_seen": "Input: chief\nOutput: jefe\n\nInput: athletics\nOutput: atletismo\n\nInput: perimeter\nOutput: perímetro\n\nInput: disruption\nOutput: desorden\n\nInput: danger\nOutput: peligro" } }, "99": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: corporation\nOutput: corporación\n\nInput: capacity\nOutput: capacidad\n\nInput: filter\nOutput: filtro\n\nInput: protection\nOutput: protección\n\nInput: recall\nOutput: retirada\n\nThe instruction was", "metadata": { "examples_seen": "Input: corporation\nOutput: corporación\n\nInput: capacity\nOutput: capacidad\n\nInput: filter\nOutput: filtro\n\nInput: protection\nOutput: protección\n\nInput: recall\nOutput: retirada" } }, "100": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: depression\nOutput: depresión\n\nInput: text\nOutput: texto\n\nInput: space\nOutput: espacio\n\nInput: reform\nOutput: reforma\n\nInput: scouting\nOutput: escultismo\n\nThe instruction was", "metadata": { "examples_seen": "Input: depression\nOutput: depresión\n\nInput: text\nOutput: texto\n\nInput: space\nOutput: espacio\n\nInput: reform\nOutput: reforma\n\nInput: scouting\nOutput: escultismo" } } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/induction_input/translation_en-fr.json ================================================ { "examples": { "1": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: growth\nOutput: croissance\n\nInput: melting\nOutput: fusion\n\nInput: capacity\nOutput: capacité\n\nInput: discourse\nOutput: discours\n\nInput: confession\nOutput: confession\n\nThe instruction was", "metadata": { "examples_seen": "Input: growth\nOutput: croissance\n\nInput: melting\nOutput: fusion\n\nInput: capacity\nOutput: capacité\n\nInput: discourse\nOutput: discours\n\nInput: confession\nOutput: confession" } }, "2": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: liver\nOutput: foie\n\nInput: name\nOutput: nom\n\nInput: vacation\nOutput: vacances\n\nInput: gateway\nOutput: porte\n\nInput: image\nOutput: image\n\nThe instruction was", "metadata": { "examples_seen": "Input: liver\nOutput: foie\n\nInput: name\nOutput: nom\n\nInput: vacation\nOutput: vacances\n\nInput: gateway\nOutput: porte\n\nInput: image\nOutput: image" } }, "3": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sword\nOutput: épéiste\n\nInput: housing\nOutput: logement\n\nInput: conditioning\nOutput: conditionnement\n\nInput: driving\nOutput: conduite\n\nInput: trailer\nOutput: remorque\n\nThe instruction was", "metadata": { "examples_seen": "Input: sword\nOutput: épéiste\n\nInput: housing\nOutput: logement\n\nInput: conditioning\nOutput: conditionnement\n\nInput: driving\nOutput: conduite\n\nInput: trailer\nOutput: remorque" } }, "4": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: restaurant\nOutput: restaurant\n\nInput: promoter\nOutput: promoteur\n\nInput: trim\nOutput: assiette\n\nInput: kiss\nOutput: baiser\n\nInput: anatomy\nOutput: anatomie\n\nThe instruction was", "metadata": { "examples_seen": "Input: restaurant\nOutput: restaurant\n\nInput: promoter\nOutput: promoteur\n\nInput: trim\nOutput: assiette\n\nInput: kiss\nOutput: baiser\n\nInput: anatomy\nOutput: anatomie" } }, "5": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: convenience\nOutput: commodité\n\nInput: neck\nOutput: cou\n\nInput: fever\nOutput: fièvre\n\nInput: trophy\nOutput: trophée\n\nInput: famine\nOutput: famine\n\nThe instruction was", "metadata": { "examples_seen": "Input: convenience\nOutput: commodité\n\nInput: neck\nOutput: cou\n\nInput: fever\nOutput: fièvre\n\nInput: trophy\nOutput: trophée\n\nInput: famine\nOutput: famine" } }, "6": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: backup\nOutput: sauvegarde\n\nInput: paperback\nOutput: livre broché\n\nInput: hall\nOutput: salle\n\nInput: census\nOutput: recensement\n\nInput: project\nOutput: projet\n\nThe instruction was", "metadata": { "examples_seen": "Input: backup\nOutput: sauvegarde\n\nInput: paperback\nOutput: livre broché\n\nInput: hall\nOutput: salle\n\nInput: census\nOutput: recensement\n\nInput: project\nOutput: projet" } }, "7": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: witness\nOutput: témoin\n\nInput: essay\nOutput: essai\n\nInput: participation\nOutput: participation\n\nInput: concession\nOutput: concession\n\nInput: grip\nOutput: poignée\n\nThe instruction was", "metadata": { "examples_seen": "Input: witness\nOutput: témoin\n\nInput: essay\nOutput: essai\n\nInput: participation\nOutput: participation\n\nInput: concession\nOutput: concession\n\nInput: grip\nOutput: poignée" } }, "8": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: scent\nOutput: odeur\n\nInput: rhythm\nOutput: rythme\n\nInput: ribbon\nOutput: ruban\n\nInput: egg\nOutput: œuf\n\nInput: balloon\nOutput: ballon\n\nThe instruction was", "metadata": { "examples_seen": "Input: scent\nOutput: odeur\n\nInput: rhythm\nOutput: rythme\n\nInput: ribbon\nOutput: ruban\n\nInput: egg\nOutput: œuf\n\nInput: balloon\nOutput: ballon" } }, "9": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: opportunity\nOutput: opportunité\n\nInput: doctor\nOutput: médecin\n\nInput: travel\nOutput: voyage\n\nInput: field\nOutput: champ\n\nInput: law\nOutput: loi\n\nThe instruction was", "metadata": { "examples_seen": "Input: opportunity\nOutput: opportunité\n\nInput: doctor\nOutput: médecin\n\nInput: travel\nOutput: voyage\n\nInput: field\nOutput: champ\n\nInput: law\nOutput: loi" } }, "10": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: decision\nOutput: décision\n\nInput: advantage\nOutput: avantage\n\nInput: disc\nOutput: disque\n\nInput: speech\nOutput: discours\n\nInput: basket\nOutput: panier\n\nThe instruction was", "metadata": { "examples_seen": "Input: decision\nOutput: décision\n\nInput: advantage\nOutput: avantage\n\nInput: disc\nOutput: disque\n\nInput: speech\nOutput: discours\n\nInput: basket\nOutput: panier" } }, "11": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: podium\nOutput: podium\n\nInput: slave\nOutput: esclave\n\nInput: west\nOutput: ouest\n\nInput: titanium\nOutput: titane\n\nInput: net\nOutput: réseau\n\nThe instruction was", "metadata": { "examples_seen": "Input: podium\nOutput: podium\n\nInput: slave\nOutput: esclave\n\nInput: west\nOutput: ouest\n\nInput: titanium\nOutput: titane\n\nInput: net\nOutput: réseau" } }, "12": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: funeral\nOutput: funérailles\n\nInput: welfare\nOutput: aide sociale\n\nInput: note\nOutput: note\n\nInput: chapter\nOutput: branche\n\nInput: renovation\nOutput: rénovation\n\nThe instruction was", "metadata": { "examples_seen": "Input: funeral\nOutput: funérailles\n\nInput: welfare\nOutput: aide sociale\n\nInput: note\nOutput: note\n\nInput: chapter\nOutput: branche\n\nInput: renovation\nOutput: rénovation" } }, "13": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: successor\nOutput: successeur\n\nInput: lure\nOutput: leurre\n\nInput: pig\nOutput: cochon\n\nInput: creativity\nOutput: créativité\n\nInput: mobility\nOutput: mobilité\n\nThe instruction was", "metadata": { "examples_seen": "Input: successor\nOutput: successeur\n\nInput: lure\nOutput: leurre\n\nInput: pig\nOutput: cochon\n\nInput: creativity\nOutput: créativité\n\nInput: mobility\nOutput: mobilité" } }, "14": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: census\nOutput: recensement\n\nInput: teacher\nOutput: professeur\n\nInput: strike\nOutput: strike\n\nInput: maintenance\nOutput: entretien\n\nInput: treasury\nOutput: trésorerie\n\nThe instruction was", "metadata": { "examples_seen": "Input: census\nOutput: recensement\n\nInput: teacher\nOutput: professeur\n\nInput: strike\nOutput: strike\n\nInput: maintenance\nOutput: entretien\n\nInput: treasury\nOutput: trésorerie" } }, "15": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: monarchy\nOutput: monarchie\n\nInput: porch\nOutput: porche\n\nInput: bow\nOutput: arc\n\nInput: symphony\nOutput: symphonie\n\nInput: depiction\nOutput: représentation\n\nThe instruction was", "metadata": { "examples_seen": "Input: monarchy\nOutput: monarchie\n\nInput: porch\nOutput: porche\n\nInput: bow\nOutput: arc\n\nInput: symphony\nOutput: symphonie\n\nInput: depiction\nOutput: représentation" } }, "16": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: defender\nOutput: défenseur\n\nInput: spokesman\nOutput: porte-parole\n\nInput: origin\nOutput: origine\n\nInput: synthesis\nOutput: synthèse\n\nInput: weekend\nOutput: fin de semaine\n\nThe instruction was", "metadata": { "examples_seen": "Input: defender\nOutput: défenseur\n\nInput: spokesman\nOutput: porte-parole\n\nInput: origin\nOutput: origine\n\nInput: synthesis\nOutput: synthèse\n\nInput: weekend\nOutput: fin de semaine" } }, "17": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: package\nOutput: paquet\n\nInput: waste\nOutput: dégradation\n\nInput: crash\nOutput: descente\n\nInput: discussion\nOutput: discussion\n\nInput: propulsion\nOutput: propulsion\n\nThe instruction was", "metadata": { "examples_seen": "Input: package\nOutput: paquet\n\nInput: waste\nOutput: dégradation\n\nInput: crash\nOutput: descente\n\nInput: discussion\nOutput: discussion\n\nInput: propulsion\nOutput: propulsion" } }, "18": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: reality\nOutput: réalité\n\nInput: archaeologist\nOutput: archéologue\n\nInput: controversy\nOutput: controverse\n\nInput: biographer\nOutput: biographe\n\nInput: fence\nOutput: clôture\n\nThe instruction was", "metadata": { "examples_seen": "Input: reality\nOutput: réalité\n\nInput: archaeologist\nOutput: archéologue\n\nInput: controversy\nOutput: controverse\n\nInput: biographer\nOutput: biographe\n\nInput: fence\nOutput: clôture" } }, "19": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: reality\nOutput: réalité\n\nInput: personnel\nOutput: personnel\n\nInput: cry\nOutput: pleur\n\nInput: index\nOutput: indice\n\nInput: home\nOutput: maison\n\nThe instruction was", "metadata": { "examples_seen": "Input: reality\nOutput: réalité\n\nInput: personnel\nOutput: personnel\n\nInput: cry\nOutput: pleur\n\nInput: index\nOutput: indice\n\nInput: home\nOutput: maison" } }, "20": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: earthquake\nOutput: tremblement de terre\n\nInput: junction\nOutput: jonction\n\nInput: enclosure\nOutput: enclos\n\nInput: participation\nOutput: participation\n\nInput: monument\nOutput: monument\n\nThe instruction was", "metadata": { "examples_seen": "Input: earthquake\nOutput: tremblement de terre\n\nInput: junction\nOutput: jonction\n\nInput: enclosure\nOutput: enclos\n\nInput: participation\nOutput: participation\n\nInput: monument\nOutput: monument" } }, "21": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: safety\nOutput: sécurité\n\nInput: contest\nOutput: concours\n\nInput: intensity\nOutput: intensité\n\nInput: rock\nOutput: rocher\n\nInput: newspaper\nOutput: journal\n\nThe instruction was", "metadata": { "examples_seen": "Input: safety\nOutput: sécurité\n\nInput: contest\nOutput: concours\n\nInput: intensity\nOutput: intensité\n\nInput: rock\nOutput: rocher\n\nInput: newspaper\nOutput: journal" } }, "22": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: item\nOutput: truc\n\nInput: degree\nOutput: degré\n\nInput: ambush\nOutput: embuscade\n\nInput: designation\nOutput: appellation\n\nInput: personality\nOutput: personnalité\n\nThe instruction was", "metadata": { "examples_seen": "Input: item\nOutput: truc\n\nInput: degree\nOutput: degré\n\nInput: ambush\nOutput: embuscade\n\nInput: designation\nOutput: appellation\n\nInput: personality\nOutput: personnalité" } }, "23": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: socialism\nOutput: socialisme\n\nInput: novelist\nOutput: romancier\n\nInput: rotation\nOutput: tour\n\nInput: reserve\nOutput: réserve\n\nInput: scene\nOutput: scène\n\nThe instruction was", "metadata": { "examples_seen": "Input: socialism\nOutput: socialisme\n\nInput: novelist\nOutput: romancier\n\nInput: rotation\nOutput: tour\n\nInput: reserve\nOutput: réserve\n\nInput: scene\nOutput: scène" } }, "24": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: observation\nOutput: observation\n\nInput: compound\nOutput: complexe\n\nInput: dispute\nOutput: dispute\n\nInput: vacuum\nOutput: vide\n\nInput: trail\nOutput: piste\n\nThe instruction was", "metadata": { "examples_seen": "Input: observation\nOutput: observation\n\nInput: compound\nOutput: complexe\n\nInput: dispute\nOutput: dispute\n\nInput: vacuum\nOutput: vide\n\nInput: trail\nOutput: piste" } }, "25": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: attack\nOutput: attaque\n\nInput: stuff\nOutput: truc\n\nInput: surf\nOutput: brisants\n\nInput: booklet\nOutput: livret\n\nInput: virtue\nOutput: vertu\n\nThe instruction was", "metadata": { "examples_seen": "Input: attack\nOutput: attaque\n\nInput: stuff\nOutput: truc\n\nInput: surf\nOutput: brisants\n\nInput: booklet\nOutput: livret\n\nInput: virtue\nOutput: vertu" } }, "26": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: arrest\nOutput: arrestation\n\nInput: consciousness\nOutput: conscience\n\nInput: creativity\nOutput: créativité\n\nInput: troupe\nOutput: troupe\n\nInput: pollution\nOutput: pollution\n\nThe instruction was", "metadata": { "examples_seen": "Input: arrest\nOutput: arrestation\n\nInput: consciousness\nOutput: conscience\n\nInput: creativity\nOutput: créativité\n\nInput: troupe\nOutput: troupe\n\nInput: pollution\nOutput: pollution" } }, "27": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: principle\nOutput: principe\n\nInput: pirate\nOutput: pirate\n\nInput: engineer\nOutput: ingénieur\n\nInput: therapy\nOutput: thérapie\n\nInput: program\nOutput: programme\n\nThe instruction was", "metadata": { "examples_seen": "Input: principle\nOutput: principe\n\nInput: pirate\nOutput: pirate\n\nInput: engineer\nOutput: ingénieur\n\nInput: therapy\nOutput: thérapie\n\nInput: program\nOutput: programme" } }, "28": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: siege\nOutput: siège\n\nInput: maneuver\nOutput: manœuvre\n\nInput: predator\nOutput: prédateur\n\nInput: transfer\nOutput: transfert\n\nInput: affinity\nOutput: affinité\n\nThe instruction was", "metadata": { "examples_seen": "Input: siege\nOutput: siège\n\nInput: maneuver\nOutput: manœuvre\n\nInput: predator\nOutput: prédateur\n\nInput: transfer\nOutput: transfert\n\nInput: affinity\nOutput: affinité" } }, "29": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: localization\nOutput: localisation\n\nInput: city\nOutput: ville\n\nInput: bite\nOutput: morsure\n\nInput: friend\nOutput: petit ami\n\nInput: tumor\nOutput: tumeur\n\nThe instruction was", "metadata": { "examples_seen": "Input: localization\nOutput: localisation\n\nInput: city\nOutput: ville\n\nInput: bite\nOutput: morsure\n\nInput: friend\nOutput: petit ami\n\nInput: tumor\nOutput: tumeur" } }, "30": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: scientist\nOutput: scientifique\n\nInput: roof\nOutput: toit\n\nInput: element\nOutput: élément\n\nInput: professor\nOutput: professeur\n\nInput: coordination\nOutput: coordination\n\nThe instruction was", "metadata": { "examples_seen": "Input: scientist\nOutput: scientifique\n\nInput: roof\nOutput: toit\n\nInput: element\nOutput: élément\n\nInput: professor\nOutput: professeur\n\nInput: coordination\nOutput: coordination" } }, "31": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: council\nOutput: conseil\n\nInput: message\nOutput: message\n\nInput: technique\nOutput: technique\n\nInput: contamination\nOutput: contamination\n\nInput: contractor\nOutput: entrepreneur\n\nThe instruction was", "metadata": { "examples_seen": "Input: council\nOutput: conseil\n\nInput: message\nOutput: message\n\nInput: technique\nOutput: technique\n\nInput: contamination\nOutput: contamination\n\nInput: contractor\nOutput: entrepreneur" } }, "32": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: finger\nOutput: doigt\n\nInput: descent\nOutput: origine\n\nInput: volcano\nOutput: volcan\n\nInput: harm\nOutput: mal\n\nInput: television\nOutput: télévision\n\nThe instruction was", "metadata": { "examples_seen": "Input: finger\nOutput: doigt\n\nInput: descent\nOutput: origine\n\nInput: volcano\nOutput: volcan\n\nInput: harm\nOutput: mal\n\nInput: television\nOutput: télévision" } }, "33": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pad\nOutput: coussinet\n\nInput: fiscal\nOutput: budgétaire\n\nInput: relocation\nOutput: déménagement\n\nInput: periphery\nOutput: périphérie\n\nInput: catch\nOutput: hic\n\nThe instruction was", "metadata": { "examples_seen": "Input: pad\nOutput: coussinet\n\nInput: fiscal\nOutput: budgétaire\n\nInput: relocation\nOutput: déménagement\n\nInput: periphery\nOutput: périphérie\n\nInput: catch\nOutput: hic" } }, "34": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: explosion\nOutput: explosion\n\nInput: trait\nOutput: trait\n\nInput: cannon\nOutput: canon\n\nInput: nobody\nOutput: moins-que-rien\n\nInput: typhoon\nOutput: typhon\n\nThe instruction was", "metadata": { "examples_seen": "Input: explosion\nOutput: explosion\n\nInput: trait\nOutput: trait\n\nInput: cannon\nOutput: canon\n\nInput: nobody\nOutput: moins-que-rien\n\nInput: typhoon\nOutput: typhon" } }, "35": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ruling\nOutput: décision\n\nInput: stud\nOutput: clou\n\nInput: revenue\nOutput: revenu\n\nInput: article\nOutput: article\n\nInput: editor\nOutput: rédacteur\n\nThe instruction was", "metadata": { "examples_seen": "Input: ruling\nOutput: décision\n\nInput: stud\nOutput: clou\n\nInput: revenue\nOutput: revenu\n\nInput: article\nOutput: article\n\nInput: editor\nOutput: rédacteur" } }, "36": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pen\nOutput: cygne femelle\n\nInput: sabotage\nOutput: sabotage\n\nInput: senior\nOutput: supérieur\n\nInput: development\nOutput: développement\n\nInput: maturity\nOutput: maturité\n\nThe instruction was", "metadata": { "examples_seen": "Input: pen\nOutput: cygne femelle\n\nInput: sabotage\nOutput: sabotage\n\nInput: senior\nOutput: supérieur\n\nInput: development\nOutput: développement\n\nInput: maturity\nOutput: maturité" } }, "37": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: predecessor\nOutput: précédent\n\nInput: venue\nOutput: lieu\n\nInput: law\nOutput: loi\n\nInput: breakdown\nOutput: dégradation\n\nInput: crew\nOutput: équipage\n\nThe instruction was", "metadata": { "examples_seen": "Input: predecessor\nOutput: précédent\n\nInput: venue\nOutput: lieu\n\nInput: law\nOutput: loi\n\nInput: breakdown\nOutput: dégradation\n\nInput: crew\nOutput: équipage" } }, "38": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: congregation\nOutput: assemblée\n\nInput: blood\nOutput: sang\n\nInput: barrier\nOutput: barrière\n\nInput: inch\nOutput: pouce\n\nInput: conquest\nOutput: conquête\n\nThe instruction was", "metadata": { "examples_seen": "Input: congregation\nOutput: assemblée\n\nInput: blood\nOutput: sang\n\nInput: barrier\nOutput: barrière\n\nInput: inch\nOutput: pouce\n\nInput: conquest\nOutput: conquête" } }, "39": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: direction\nOutput: direction\n\nInput: deputy\nOutput: adjoint\n\nInput: drought\nOutput: sécheresse\n\nInput: service\nOutput: service\n\nInput: plan\nOutput: plan\n\nThe instruction was", "metadata": { "examples_seen": "Input: direction\nOutput: direction\n\nInput: deputy\nOutput: adjoint\n\nInput: drought\nOutput: sécheresse\n\nInput: service\nOutput: service\n\nInput: plan\nOutput: plan" } }, "40": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: concession\nOutput: concession\n\nInput: exposition\nOutput: exposition\n\nInput: note\nOutput: note\n\nInput: pseudonym\nOutput: nom de guerre\n\nInput: sound\nOutput: son\n\nThe instruction was", "metadata": { "examples_seen": "Input: concession\nOutput: concession\n\nInput: exposition\nOutput: exposition\n\nInput: note\nOutput: note\n\nInput: pseudonym\nOutput: nom de guerre\n\nInput: sound\nOutput: son" } }, "41": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: bar\nOutput: barre\n\nInput: senator\nOutput: sénateur\n\nInput: piece\nOutput: pièce\n\nInput: connection\nOutput: connexion\n\nInput: whale\nOutput: baleine\n\nThe instruction was", "metadata": { "examples_seen": "Input: bar\nOutput: barre\n\nInput: senator\nOutput: sénateur\n\nInput: piece\nOutput: pièce\n\nInput: connection\nOutput: connexion\n\nInput: whale\nOutput: baleine" } }, "42": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: independence\nOutput: indépendance\n\nInput: removal\nOutput: enlèvement\n\nInput: ladder\nOutput: échelle\n\nInput: rider\nOutput: cavalier\n\nInput: yoga\nOutput: yoga\n\nThe instruction was", "metadata": { "examples_seen": "Input: independence\nOutput: indépendance\n\nInput: removal\nOutput: enlèvement\n\nInput: ladder\nOutput: échelle\n\nInput: rider\nOutput: cavalier\n\nInput: yoga\nOutput: yoga" } }, "43": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: exposition\nOutput: exposition\n\nInput: superiority\nOutput: supériorité\n\nInput: input\nOutput: entrée\n\nInput: funeral\nOutput: funérailles\n\nInput: fit\nOutput: crise\n\nThe instruction was", "metadata": { "examples_seen": "Input: exposition\nOutput: exposition\n\nInput: superiority\nOutput: supériorité\n\nInput: input\nOutput: entrée\n\nInput: funeral\nOutput: funérailles\n\nInput: fit\nOutput: crise" } }, "44": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: prediction\nOutput: prédiction\n\nInput: southwest\nOutput: sud-ouest\n\nInput: ruler\nOutput: dirigeant\n\nInput: drive\nOutput: lecteur\n\nInput: weather\nOutput: temps\n\nThe instruction was", "metadata": { "examples_seen": "Input: prediction\nOutput: prédiction\n\nInput: southwest\nOutput: sud-ouest\n\nInput: ruler\nOutput: dirigeant\n\nInput: drive\nOutput: lecteur\n\nInput: weather\nOutput: temps" } }, "45": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: heir\nOutput: héritier\n\nInput: propulsion\nOutput: propulsion\n\nInput: ministry\nOutput: ministère\n\nInput: escape\nOutput: évasion\n\nInput: preview\nOutput: avant-première\n\nThe instruction was", "metadata": { "examples_seen": "Input: heir\nOutput: héritier\n\nInput: propulsion\nOutput: propulsion\n\nInput: ministry\nOutput: ministère\n\nInput: escape\nOutput: évasion\n\nInput: preview\nOutput: avant-première" } }, "46": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sub\nOutput: sandwich sous-marin\n\nInput: cut\nOutput: coupe\n\nInput: rail\nOutput: rail\n\nInput: input\nOutput: entrée\n\nInput: fee\nOutput: honoraires\n\nThe instruction was", "metadata": { "examples_seen": "Input: sub\nOutput: sandwich sous-marin\n\nInput: cut\nOutput: coupe\n\nInput: rail\nOutput: rail\n\nInput: input\nOutput: entrée\n\nInput: fee\nOutput: honoraires" } }, "47": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: suit\nOutput: enseigne\n\nInput: attitude\nOutput: posture\n\nInput: post\nOutput: poste\n\nInput: fate\nOutput: destin\n\nInput: shake\nOutput: secousse\n\nThe instruction was", "metadata": { "examples_seen": "Input: suit\nOutput: enseigne\n\nInput: attitude\nOutput: posture\n\nInput: post\nOutput: poste\n\nInput: fate\nOutput: destin\n\nInput: shake\nOutput: secousse" } }, "48": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: topic\nOutput: sujet\n\nInput: side\nOutput: côté\n\nInput: endurance\nOutput: endurance\n\nInput: bond\nOutput: lien\n\nInput: mountain\nOutput: montagne\n\nThe instruction was", "metadata": { "examples_seen": "Input: topic\nOutput: sujet\n\nInput: side\nOutput: côté\n\nInput: endurance\nOutput: endurance\n\nInput: bond\nOutput: lien\n\nInput: mountain\nOutput: montagne" } }, "49": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: preparation\nOutput: préparation\n\nInput: distribution\nOutput: distribution\n\nInput: animation\nOutput: animation\n\nInput: breakup\nOutput: rupture\n\nInput: resemblance\nOutput: ressemblance\n\nThe instruction was", "metadata": { "examples_seen": "Input: preparation\nOutput: préparation\n\nInput: distribution\nOutput: distribution\n\nInput: animation\nOutput: animation\n\nInput: breakup\nOutput: rupture\n\nInput: resemblance\nOutput: ressemblance" } }, "50": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: suite\nOutput: suite\n\nInput: observation\nOutput: observation\n\nInput: gathering\nOutput: rencontre\n\nInput: nectar\nOutput: nectar\n\nInput: awareness\nOutput: conscience\n\nThe instruction was", "metadata": { "examples_seen": "Input: suite\nOutput: suite\n\nInput: observation\nOutput: observation\n\nInput: gathering\nOutput: rencontre\n\nInput: nectar\nOutput: nectar\n\nInput: awareness\nOutput: conscience" } }, "51": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: editing\nOutput: rédaction\n\nInput: blog\nOutput: blog\n\nInput: pool\nOutput: piscine\n\nInput: ceremony\nOutput: cérémonie\n\nInput: pass\nOutput: laissez-passer\n\nThe instruction was", "metadata": { "examples_seen": "Input: editing\nOutput: rédaction\n\nInput: blog\nOutput: blog\n\nInput: pool\nOutput: piscine\n\nInput: ceremony\nOutput: cérémonie\n\nInput: pass\nOutput: laissez-passer" } }, "52": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: missile\nOutput: projectile\n\nInput: tape\nOutput: ruban adhésif\n\nInput: anxiety\nOutput: anxiété\n\nInput: vacation\nOutput: vacances\n\nInput: alternative\nOutput: alternative\n\nThe instruction was", "metadata": { "examples_seen": "Input: missile\nOutput: projectile\n\nInput: tape\nOutput: ruban adhésif\n\nInput: anxiety\nOutput: anxiété\n\nInput: vacation\nOutput: vacances\n\nInput: alternative\nOutput: alternative" } }, "53": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: stamp\nOutput: cachet\n\nInput: beam\nOutput: age\n\nInput: salvation\nOutput: salut\n\nInput: coordinator\nOutput: coordonnateur\n\nInput: west\nOutput: ouest\n\nThe instruction was", "metadata": { "examples_seen": "Input: stamp\nOutput: cachet\n\nInput: beam\nOutput: age\n\nInput: salvation\nOutput: salut\n\nInput: coordinator\nOutput: coordonnateur\n\nInput: west\nOutput: ouest" } }, "54": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: aggression\nOutput: aggression\n\nInput: biographer\nOutput: biographe\n\nInput: revision\nOutput: révision\n\nInput: respect\nOutput: respect\n\nInput: descendant\nOutput: descendant\n\nThe instruction was", "metadata": { "examples_seen": "Input: aggression\nOutput: aggression\n\nInput: biographer\nOutput: biographe\n\nInput: revision\nOutput: révision\n\nInput: respect\nOutput: respect\n\nInput: descendant\nOutput: descendant" } }, "55": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: ethanol\nOutput: éthanol\n\nInput: dislike\nOutput: antipathie\n\nInput: union\nOutput: union\n\nInput: planet\nOutput: planète\n\nInput: cope\nOutput: chape\n\nThe instruction was", "metadata": { "examples_seen": "Input: ethanol\nOutput: éthanol\n\nInput: dislike\nOutput: antipathie\n\nInput: union\nOutput: union\n\nInput: planet\nOutput: planète\n\nInput: cope\nOutput: chape" } }, "56": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sperm\nOutput: sperme\n\nInput: drug\nOutput: drogue\n\nInput: gale\nOutput: coup de vent\n\nInput: execution\nOutput: exécution\n\nInput: block\nOutput: bloc\n\nThe instruction was", "metadata": { "examples_seen": "Input: sperm\nOutput: sperme\n\nInput: drug\nOutput: drogue\n\nInput: gale\nOutput: coup de vent\n\nInput: execution\nOutput: exécution\n\nInput: block\nOutput: bloc" } }, "57": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: release\nOutput: version\n\nInput: education\nOutput: éducation\n\nInput: instruction\nOutput: instruction\n\nInput: responsibility\nOutput: responsabilité\n\nInput: section\nOutput: section\n\nThe instruction was", "metadata": { "examples_seen": "Input: release\nOutput: version\n\nInput: education\nOutput: éducation\n\nInput: instruction\nOutput: instruction\n\nInput: responsibility\nOutput: responsabilité\n\nInput: section\nOutput: section" } }, "58": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: conductor\nOutput: chef d'orchestre\n\nInput: semifinal\nOutput: demi-finale\n\nInput: sensitivity\nOutput: sensibilité\n\nInput: casting\nOutput: moulage\n\nInput: afternoon\nOutput: après-midi\n\nThe instruction was", "metadata": { "examples_seen": "Input: conductor\nOutput: chef d'orchestre\n\nInput: semifinal\nOutput: demi-finale\n\nInput: sensitivity\nOutput: sensibilité\n\nInput: casting\nOutput: moulage\n\nInput: afternoon\nOutput: après-midi" } }, "59": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: coinage\nOutput: frappe\n\nInput: cancel\nOutput: annulation\n\nInput: eruption\nOutput: éruption\n\nInput: train\nOutput: caravane\n\nInput: capsule\nOutput: capsule\n\nThe instruction was", "metadata": { "examples_seen": "Input: coinage\nOutput: frappe\n\nInput: cancel\nOutput: annulation\n\nInput: eruption\nOutput: éruption\n\nInput: train\nOutput: caravane\n\nInput: capsule\nOutput: capsule" } }, "60": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: vault\nOutput: voûte\n\nInput: space\nOutput: espace\n\nInput: perception\nOutput: perception\n\nInput: accompaniment\nOutput: accompagnement\n\nInput: rocket\nOutput: roquette\n\nThe instruction was", "metadata": { "examples_seen": "Input: vault\nOutput: voûte\n\nInput: space\nOutput: espace\n\nInput: perception\nOutput: perception\n\nInput: accompaniment\nOutput: accompagnement\n\nInput: rocket\nOutput: roquette" } }, "61": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: communism\nOutput: communisme\n\nInput: proclamation\nOutput: proclamation\n\nInput: boom\nOutput: boum\n\nInput: territory\nOutput: territoire\n\nInput: garage\nOutput: garage\n\nThe instruction was", "metadata": { "examples_seen": "Input: communism\nOutput: communisme\n\nInput: proclamation\nOutput: proclamation\n\nInput: boom\nOutput: boum\n\nInput: territory\nOutput: territoire\n\nInput: garage\nOutput: garage" } }, "62": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: jacket\nOutput: veste\n\nInput: nobility\nOutput: noblesse\n\nInput: diversion\nOutput: diversion\n\nInput: license\nOutput: licence\n\nInput: novelist\nOutput: romancier\n\nThe instruction was", "metadata": { "examples_seen": "Input: jacket\nOutput: veste\n\nInput: nobility\nOutput: noblesse\n\nInput: diversion\nOutput: diversion\n\nInput: license\nOutput: licence\n\nInput: novelist\nOutput: romancier" } }, "63": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: leap\nOutput: saut\n\nInput: tube\nOutput: boîte\n\nInput: closure\nOutput: fermeture\n\nInput: guess\nOutput: conjecture\n\nInput: relief\nOutput: relief\n\nThe instruction was", "metadata": { "examples_seen": "Input: leap\nOutput: saut\n\nInput: tube\nOutput: boîte\n\nInput: closure\nOutput: fermeture\n\nInput: guess\nOutput: conjecture\n\nInput: relief\nOutput: relief" } }, "64": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: group\nOutput: groupe\n\nInput: instability\nOutput: instabilité\n\nInput: analyst\nOutput: analyste\n\nInput: terrorism\nOutput: terrorisme\n\nInput: harm\nOutput: mal\n\nThe instruction was", "metadata": { "examples_seen": "Input: group\nOutput: groupe\n\nInput: instability\nOutput: instabilité\n\nInput: analyst\nOutput: analyste\n\nInput: terrorism\nOutput: terrorisme\n\nInput: harm\nOutput: mal" } }, "65": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: suffrage\nOutput: suffrage\n\nInput: moisture\nOutput: humidité\n\nInput: constellation\nOutput: constellation\n\nInput: engine\nOutput: moteur\n\nInput: squad\nOutput: escouade\n\nThe instruction was", "metadata": { "examples_seen": "Input: suffrage\nOutput: suffrage\n\nInput: moisture\nOutput: humidité\n\nInput: constellation\nOutput: constellation\n\nInput: engine\nOutput: moteur\n\nInput: squad\nOutput: escouade" } }, "66": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: surf\nOutput: brisants\n\nInput: airport\nOutput: aéroport\n\nInput: interview\nOutput: entretien\n\nInput: reserve\nOutput: réserve\n\nInput: disease\nOutput: maladie\n\nThe instruction was", "metadata": { "examples_seen": "Input: surf\nOutput: brisants\n\nInput: airport\nOutput: aéroport\n\nInput: interview\nOutput: entretien\n\nInput: reserve\nOutput: réserve\n\nInput: disease\nOutput: maladie" } }, "67": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: militia\nOutput: milice\n\nInput: document\nOutput: document\n\nInput: alignment\nOutput: alliance\n\nInput: chance\nOutput: raccroc\n\nInput: geometry\nOutput: géométrie\n\nThe instruction was", "metadata": { "examples_seen": "Input: militia\nOutput: milice\n\nInput: document\nOutput: document\n\nInput: alignment\nOutput: alliance\n\nInput: chance\nOutput: raccroc\n\nInput: geometry\nOutput: géométrie" } }, "68": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: quarter\nOutput: quartier\n\nInput: tune\nOutput: tube\n\nInput: difficulty\nOutput: difficulté\n\nInput: congregation\nOutput: assemblée\n\nInput: murder\nOutput: meurtre\n\nThe instruction was", "metadata": { "examples_seen": "Input: quarter\nOutput: quartier\n\nInput: tune\nOutput: tube\n\nInput: difficulty\nOutput: difficulté\n\nInput: congregation\nOutput: assemblée\n\nInput: murder\nOutput: meurtre" } }, "69": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: insistence\nOutput: insistance\n\nInput: crush\nOutput: barricade\n\nInput: snout\nOutput: museau\n\nInput: coat\nOutput: couche\n\nInput: chemistry\nOutput: chimie\n\nThe instruction was", "metadata": { "examples_seen": "Input: insistence\nOutput: insistance\n\nInput: crush\nOutput: barricade\n\nInput: snout\nOutput: museau\n\nInput: coat\nOutput: couche\n\nInput: chemistry\nOutput: chimie" } }, "70": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: hint\nOutput: indication\n\nInput: jump\nOutput: saut\n\nInput: distribution\nOutput: distribution\n\nInput: situation\nOutput: situation\n\nInput: equity\nOutput: action\n\nThe instruction was", "metadata": { "examples_seen": "Input: hint\nOutput: indication\n\nInput: jump\nOutput: saut\n\nInput: distribution\nOutput: distribution\n\nInput: situation\nOutput: situation\n\nInput: equity\nOutput: action" } }, "71": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: orbit\nOutput: orbite\n\nInput: newspaper\nOutput: journal\n\nInput: molecule\nOutput: molécule\n\nInput: reporter\nOutput: reporter\n\nInput: poetry\nOutput: poésie\n\nThe instruction was", "metadata": { "examples_seen": "Input: orbit\nOutput: orbite\n\nInput: newspaper\nOutput: journal\n\nInput: molecule\nOutput: molécule\n\nInput: reporter\nOutput: reporter\n\nInput: poetry\nOutput: poésie" } }, "72": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: turf\nOutput: gazon\n\nInput: nitrogen\nOutput: azote\n\nInput: stage\nOutput: scène\n\nInput: color\nOutput: couleur\n\nInput: trick\nOutput: tour\n\nThe instruction was", "metadata": { "examples_seen": "Input: turf\nOutput: gazon\n\nInput: nitrogen\nOutput: azote\n\nInput: stage\nOutput: scène\n\nInput: color\nOutput: couleur\n\nInput: trick\nOutput: tour" } }, "73": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: pile\nOutput: pile\n\nInput: reconstruction\nOutput: reconstitution\n\nInput: formula\nOutput: formule\n\nInput: peninsula\nOutput: péninsule\n\nInput: amendment\nOutput: amendement\n\nThe instruction was", "metadata": { "examples_seen": "Input: pile\nOutput: pile\n\nInput: reconstruction\nOutput: reconstitution\n\nInput: formula\nOutput: formule\n\nInput: peninsula\nOutput: péninsule\n\nInput: amendment\nOutput: amendement" } }, "74": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: cubic\nOutput: cubique\n\nInput: relocation\nOutput: déménagement\n\nInput: fixture\nOutput: luminaire\n\nInput: survival\nOutput: survie\n\nInput: peer\nOutput: pair\n\nThe instruction was", "metadata": { "examples_seen": "Input: cubic\nOutput: cubique\n\nInput: relocation\nOutput: déménagement\n\nInput: fixture\nOutput: luminaire\n\nInput: survival\nOutput: survie\n\nInput: peer\nOutput: pair" } }, "75": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: essay\nOutput: essai\n\nInput: circus\nOutput: cirque\n\nInput: mass\nOutput: masse\n\nInput: distribution\nOutput: distribution\n\nInput: packaging\nOutput: emballage\n\nThe instruction was", "metadata": { "examples_seen": "Input: essay\nOutput: essai\n\nInput: circus\nOutput: cirque\n\nInput: mass\nOutput: masse\n\nInput: distribution\nOutput: distribution\n\nInput: packaging\nOutput: emballage" } }, "76": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: gender\nOutput: genre\n\nInput: administration\nOutput: administration\n\nInput: senator\nOutput: sénateur\n\nInput: employment\nOutput: emploi\n\nInput: bed\nOutput: lit\n\nThe instruction was", "metadata": { "examples_seen": "Input: gender\nOutput: genre\n\nInput: administration\nOutput: administration\n\nInput: senator\nOutput: sénateur\n\nInput: employment\nOutput: emploi\n\nInput: bed\nOutput: lit" } }, "77": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: reaction\nOutput: réaction\n\nInput: expedition\nOutput: expédition\n\nInput: employment\nOutput: emploi\n\nInput: descent\nOutput: origine\n\nInput: stallion\nOutput: étalon\n\nThe instruction was", "metadata": { "examples_seen": "Input: reaction\nOutput: réaction\n\nInput: expedition\nOutput: expédition\n\nInput: employment\nOutput: emploi\n\nInput: descent\nOutput: origine\n\nInput: stallion\nOutput: étalon" } }, "78": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: tool\nOutput: outil\n\nInput: sediment\nOutput: sédiment\n\nInput: shuttle\nOutput: navette\n\nInput: tissue\nOutput: tissu\n\nInput: kick\nOutput: coup de pied\n\nThe instruction was", "metadata": { "examples_seen": "Input: tool\nOutput: outil\n\nInput: sediment\nOutput: sédiment\n\nInput: shuttle\nOutput: navette\n\nInput: tissue\nOutput: tissu\n\nInput: kick\nOutput: coup de pied" } }, "79": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: suicide\nOutput: suicide\n\nInput: grape\nOutput: raisin\n\nInput: domain\nOutput: domaine\n\nInput: altitude\nOutput: altitude\n\nInput: recognition\nOutput: reconnaissance\n\nThe instruction was", "metadata": { "examples_seen": "Input: suicide\nOutput: suicide\n\nInput: grape\nOutput: raisin\n\nInput: domain\nOutput: domaine\n\nInput: altitude\nOutput: altitude\n\nInput: recognition\nOutput: reconnaissance" } }, "80": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: dialect\nOutput: dialecte\n\nInput: propulsion\nOutput: propulsion\n\nInput: security\nOutput: sécurité\n\nInput: daughter\nOutput: fille\n\nInput: sediment\nOutput: sédiment\n\nThe instruction was", "metadata": { "examples_seen": "Input: dialect\nOutput: dialecte\n\nInput: propulsion\nOutput: propulsion\n\nInput: security\nOutput: sécurité\n\nInput: daughter\nOutput: fille\n\nInput: sediment\nOutput: sédiment" } }, "81": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: reception\nOutput: réception\n\nInput: run\nOutput: galoper\n\nInput: nationalism\nOutput: nationalisme\n\nInput: carriage\nOutput: wagon\n\nInput: iron\nOutput: fer\n\nThe instruction was", "metadata": { "examples_seen": "Input: reception\nOutput: réception\n\nInput: run\nOutput: galoper\n\nInput: nationalism\nOutput: nationalisme\n\nInput: carriage\nOutput: wagon\n\nInput: iron\nOutput: fer" } }, "82": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: cartoon\nOutput: dessin animé\n\nInput: critique\nOutput: critique\n\nInput: interaction\nOutput: interaction\n\nInput: corpse\nOutput: cadavre\n\nInput: removal\nOutput: enlèvement\n\nThe instruction was", "metadata": { "examples_seen": "Input: cartoon\nOutput: dessin animé\n\nInput: critique\nOutput: critique\n\nInput: interaction\nOutput: interaction\n\nInput: corpse\nOutput: cadavre\n\nInput: removal\nOutput: enlèvement" } }, "83": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: curse\nOutput: mauvais sort\n\nInput: chancellor\nOutput: chancelier\n\nInput: cruise\nOutput: croisière\n\nInput: trophy\nOutput: trophée\n\nInput: pardon\nOutput: pardon\n\nThe instruction was", "metadata": { "examples_seen": "Input: curse\nOutput: mauvais sort\n\nInput: chancellor\nOutput: chancelier\n\nInput: cruise\nOutput: croisière\n\nInput: trophy\nOutput: trophée\n\nInput: pardon\nOutput: pardon" } }, "84": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: nitrogen\nOutput: azote\n\nInput: complexity\nOutput: complexité\n\nInput: smile\nOutput: sourire\n\nInput: war\nOutput: bataille\n\nInput: trigger\nOutput: gâchette\n\nThe instruction was", "metadata": { "examples_seen": "Input: nitrogen\nOutput: azote\n\nInput: complexity\nOutput: complexité\n\nInput: smile\nOutput: sourire\n\nInput: war\nOutput: bataille\n\nInput: trigger\nOutput: gâchette" } }, "85": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: shadow\nOutput: ombre\n\nInput: lizard\nOutput: lézard\n\nInput: tackle\nOutput: tacle plaquage\n\nInput: coal\nOutput: charbon\n\nInput: group\nOutput: groupe\n\nThe instruction was", "metadata": { "examples_seen": "Input: shadow\nOutput: ombre\n\nInput: lizard\nOutput: lézard\n\nInput: tackle\nOutput: tacle plaquage\n\nInput: coal\nOutput: charbon\n\nInput: group\nOutput: groupe" } }, "86": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: anger\nOutput: colère\n\nInput: runway\nOutput: piste\n\nInput: media\nOutput: médias\n\nInput: house\nOutput: maison\n\nInput: skeleton\nOutput: squelette\n\nThe instruction was", "metadata": { "examples_seen": "Input: anger\nOutput: colère\n\nInput: runway\nOutput: piste\n\nInput: media\nOutput: médias\n\nInput: house\nOutput: maison\n\nInput: skeleton\nOutput: squelette" } }, "87": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: requirement\nOutput: contrainte\n\nInput: screenwriter\nOutput: scénariste\n\nInput: steering\nOutput: direction\n\nInput: tone\nOutput: ton\n\nInput: imitation\nOutput: imitation\n\nThe instruction was", "metadata": { "examples_seen": "Input: requirement\nOutput: contrainte\n\nInput: screenwriter\nOutput: scénariste\n\nInput: steering\nOutput: direction\n\nInput: tone\nOutput: ton\n\nInput: imitation\nOutput: imitation" } }, "88": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: nobility\nOutput: noblesse\n\nInput: house\nOutput: maison\n\nInput: clearing\nOutput: clairière\n\nInput: spy\nOutput: espion\n\nInput: chapter\nOutput: branche\n\nThe instruction was", "metadata": { "examples_seen": "Input: nobility\nOutput: noblesse\n\nInput: house\nOutput: maison\n\nInput: clearing\nOutput: clairière\n\nInput: spy\nOutput: espion\n\nInput: chapter\nOutput: branche" } }, "89": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: sailor\nOutput: matelot\n\nInput: silicon\nOutput: silicium\n\nInput: confession\nOutput: confession\n\nInput: steering\nOutput: direction\n\nInput: liberation\nOutput: libération\n\nThe instruction was", "metadata": { "examples_seen": "Input: sailor\nOutput: matelot\n\nInput: silicon\nOutput: silicium\n\nInput: confession\nOutput: confession\n\nInput: steering\nOutput: direction\n\nInput: liberation\nOutput: libération" } }, "90": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: motion\nOutput: mouvement\n\nInput: crust\nOutput: croûte\n\nInput: environment\nOutput: environnement\n\nInput: embassy\nOutput: ambassade\n\nInput: constitution\nOutput: constitution\n\nThe instruction was", "metadata": { "examples_seen": "Input: motion\nOutput: mouvement\n\nInput: crust\nOutput: croûte\n\nInput: environment\nOutput: environnement\n\nInput: embassy\nOutput: ambassade\n\nInput: constitution\nOutput: constitution" } }, "91": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: guidance\nOutput: conseils\n\nInput: discourse\nOutput: discours\n\nInput: gravity\nOutput: gravité\n\nInput: infantry\nOutput: infanterie\n\nInput: obsession\nOutput: obsession\n\nThe instruction was", "metadata": { "examples_seen": "Input: guidance\nOutput: conseils\n\nInput: discourse\nOutput: discours\n\nInput: gravity\nOutput: gravité\n\nInput: infantry\nOutput: infanterie\n\nInput: obsession\nOutput: obsession" } }, "92": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: exposure\nOutput: exposition\n\nInput: face\nOutput: face\n\nInput: installation\nOutput: installation\n\nInput: mass\nOutput: masse\n\nInput: spell\nOutput: charme\n\nThe instruction was", "metadata": { "examples_seen": "Input: exposure\nOutput: exposition\n\nInput: face\nOutput: face\n\nInput: installation\nOutput: installation\n\nInput: mass\nOutput: masse\n\nInput: spell\nOutput: charme" } }, "93": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: tackle\nOutput: tacle plaquage\n\nInput: cancellation\nOutput: annulation\n\nInput: reel\nOutput: reel\n\nInput: cottage\nOutput: cottage\n\nInput: clock\nOutput: horloge\n\nThe instruction was", "metadata": { "examples_seen": "Input: tackle\nOutput: tacle plaquage\n\nInput: cancellation\nOutput: annulation\n\nInput: reel\nOutput: reel\n\nInput: cottage\nOutput: cottage\n\nInput: clock\nOutput: horloge" } }, "94": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: imprint\nOutput: informations légales\n\nInput: port\nOutput: port\n\nInput: lecture\nOutput: conférence\n\nInput: sacrifice\nOutput: sacrifice\n\nInput: settlement\nOutput: colonie\n\nThe instruction was", "metadata": { "examples_seen": "Input: imprint\nOutput: informations légales\n\nInput: port\nOutput: port\n\nInput: lecture\nOutput: conférence\n\nInput: sacrifice\nOutput: sacrifice\n\nInput: settlement\nOutput: colonie" } }, "95": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: hop\nOutput: houblon\n\nInput: operation\nOutput: opération\n\nInput: organism\nOutput: organisme\n\nInput: attendance\nOutput: présence\n\nInput: labour\nOutput: accouchement\n\nThe instruction was", "metadata": { "examples_seen": "Input: hop\nOutput: houblon\n\nInput: operation\nOutput: opération\n\nInput: organism\nOutput: organisme\n\nInput: attendance\nOutput: présence\n\nInput: labour\nOutput: accouchement" } }, "96": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: lion\nOutput: lion\n\nInput: excuse\nOutput: prétexte\n\nInput: protest\nOutput: manifestation\n\nInput: moon\nOutput: lune\n\nInput: example\nOutput: exemple\n\nThe instruction was", "metadata": { "examples_seen": "Input: lion\nOutput: lion\n\nInput: excuse\nOutput: prétexte\n\nInput: protest\nOutput: manifestation\n\nInput: moon\nOutput: lune\n\nInput: example\nOutput: exemple" } }, "97": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: viewership\nOutput: audience\n\nInput: isotope\nOutput: isotope\n\nInput: mascot\nOutput: mascotte\n\nInput: irony\nOutput: ironie\n\nInput: folklore\nOutput: folklore\n\nThe instruction was", "metadata": { "examples_seen": "Input: viewership\nOutput: audience\n\nInput: isotope\nOutput: isotope\n\nInput: mascot\nOutput: mascotte\n\nInput: irony\nOutput: ironie\n\nInput: folklore\nOutput: folklore" } }, "98": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: signal\nOutput: signal\n\nInput: fee\nOutput: honoraires\n\nInput: enzyme\nOutput: enzyme\n\nInput: sulfur\nOutput: soufre\n\nInput: suicide\nOutput: suicide\n\nThe instruction was", "metadata": { "examples_seen": "Input: signal\nOutput: signal\n\nInput: fee\nOutput: honoraires\n\nInput: enzyme\nOutput: enzyme\n\nInput: sulfur\nOutput: soufre\n\nInput: suicide\nOutput: suicide" } }, "99": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: change\nOutput: monnaie\n\nInput: peer\nOutput: pair\n\nInput: reconstruction\nOutput: reconstitution\n\nInput: touchdown\nOutput: touchdown\n\nInput: track\nOutput: voie\n\nThe instruction was", "metadata": { "examples_seen": "Input: change\nOutput: monnaie\n\nInput: peer\nOutput: pair\n\nInput: reconstruction\nOutput: reconstitution\n\nInput: touchdown\nOutput: touchdown\n\nInput: track\nOutput: voie" } }, "100": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: implementation\nOutput: mise en œuvre\n\nInput: universe\nOutput: univers\n\nInput: consultant\nOutput: consultant\n\nInput: element\nOutput: élément\n\nInput: discrimination\nOutput: discrimination\n\nThe instruction was", "metadata": { "examples_seen": "Input: implementation\nOutput: mise en œuvre\n\nInput: universe\nOutput: univers\n\nInput: consultant\nOutput: consultant\n\nInput: element\nOutput: élément\n\nInput: discrimination\nOutput: discrimination" } } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/induction_input/word_in_context.json ================================================ { "examples": { "1": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: If I had my way. Sentence 2: That's the way it is. Word: way\nOutput: not the same\n\nInput: Sentence 1: The dog was taught to fetch and carry. Sentence 2: Carry a cause. Word: carry\nOutput: not the same\n\nInput: Sentence 1: Shed your clothes. Sentence 2: He shed his image as a pushy boss. Word: shed\nOutput: same\n\nInput: Sentence 1: What do we have here? Sentence 2: Have a lover. Word: have\nOutput: not the same\n\nInput: Sentence 1: Pull your knees towards your chin. Sentence 2: Pull the handle towards you. Word: pull\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: If I had my way. Sentence 2: That's the way it is. Word: way\nOutput: not the same\n\nInput: Sentence 1: The dog was taught to fetch and carry. Sentence 2: Carry a cause. Word: carry\nOutput: not the same\n\nInput: Sentence 1: Shed your clothes. Sentence 2: He shed his image as a pushy boss. Word: shed\nOutput: same\n\nInput: Sentence 1: What do we have here? Sentence 2: Have a lover. Word: have\nOutput: not the same\n\nInput: Sentence 1: Pull your knees towards your chin. Sentence 2: Pull the handle towards you. Word: pull\nOutput: same" } }, "2": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The rebels threaten to seize civilian hostages. Sentence 2: The terrorists seized the politicians. Word: seize\nOutput: same\n\nInput: Sentence 1: Roughcast a wall. Sentence 2: To roughcast a wall or building. Word: roughcast\nOutput: same\n\nInput: Sentence 1: You can lose your identity when you join the army. Sentence 2: It was too dark to determine his identity. Word: identity\nOutput: not the same\n\nInput: Sentence 1: His sour breath offended her. Sentence 2: The child's breath came quickly and unevenly. Word: breath\nOutput: not the same\n\nInput: Sentence 1: Give a divorce. Sentence 2: The wall gave in. Word: give\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The rebels threaten to seize civilian hostages. Sentence 2: The terrorists seized the politicians. Word: seize\nOutput: same\n\nInput: Sentence 1: Roughcast a wall. Sentence 2: To roughcast a wall or building. Word: roughcast\nOutput: same\n\nInput: Sentence 1: You can lose your identity when you join the army. Sentence 2: It was too dark to determine his identity. Word: identity\nOutput: not the same\n\nInput: Sentence 1: His sour breath offended her. Sentence 2: The child's breath came quickly and unevenly. Word: breath\nOutput: not the same\n\nInput: Sentence 1: Give a divorce. Sentence 2: The wall gave in. Word: give\nOutput: not the same" } }, "3": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The washing machine won't go unless it's plugged in. Sentence 2: The day went well until I got your call. Word: go\nOutput: not the same\n\nInput: Sentence 1: He has a special place in my thoughts. Sentence 2: Your place or mine? Word: place\nOutput: not the same\n\nInput: Sentence 1: Fall asleep. Sentence 2: They fell out of favor. Word: fall\nOutput: same\n\nInput: Sentence 1: The gift of language. Sentence 2: He taught foreign languages. Word: language\nOutput: same\n\nInput: Sentence 1: A master of the violin. Sentence 2: One of the old masters. Word: master\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The washing machine won't go unless it's plugged in. Sentence 2: The day went well until I got your call. Word: go\nOutput: not the same\n\nInput: Sentence 1: He has a special place in my thoughts. Sentence 2: Your place or mine? Word: place\nOutput: not the same\n\nInput: Sentence 1: Fall asleep. Sentence 2: They fell out of favor. Word: fall\nOutput: same\n\nInput: Sentence 1: The gift of language. Sentence 2: He taught foreign languages. Word: language\nOutput: same\n\nInput: Sentence 1: A master of the violin. Sentence 2: One of the old masters. Word: master\nOutput: same" } }, "4": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: It is not known who created this piece. Sentence 2: She played two beautiful pieces on the piano. Word: piece\nOutput: not the same\n\nInput: Sentence 1: Receive payment. Sentence 2: Receive a gift. Word: receive\nOutput: same\n\nInput: Sentence 1: She sat on the edge of the bed. Sentence 2: The water's edge. Word: edge\nOutput: same\n\nInput: Sentence 1: He watched the house burn. Sentence 2: Maple wood burns well. Word: burn\nOutput: same\n\nInput: Sentence 1: She didn't touch her food all night. Sentence 2: The two buildings touch. Word: touch\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: It is not known who created this piece. Sentence 2: She played two beautiful pieces on the piano. Word: piece\nOutput: not the same\n\nInput: Sentence 1: Receive payment. Sentence 2: Receive a gift. Word: receive\nOutput: same\n\nInput: Sentence 1: She sat on the edge of the bed. Sentence 2: The water's edge. Word: edge\nOutput: same\n\nInput: Sentence 1: He watched the house burn. Sentence 2: Maple wood burns well. Word: burn\nOutput: same\n\nInput: Sentence 1: She didn't touch her food all night. Sentence 2: The two buildings touch. Word: touch\nOutput: not the same" } }, "5": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: 'Now push hard,' said the doctor to the woman. Sentence 2: He pushed her to finish her doctorate. Word: push\nOutput: not the same\n\nInput: Sentence 1: The cattle roam across the prairie. Sentence 2: The gypsies roamed the woods. Word: roam\nOutput: same\n\nInput: Sentence 1: Tap beer in a bar. Sentence 2: Tap an M3 thread all the way through the hole. Word: tap\nOutput: not the same\n\nInput: Sentence 1: Is this enough to cover the check? Sentence 2: This should cover everyone in the group. Word: cover\nOutput: not the same\n\nInput: Sentence 1: To admit a serious thought into the mind. Sentence 2: She admitted us. Word: admit\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: 'Now push hard,' said the doctor to the woman. Sentence 2: He pushed her to finish her doctorate. Word: push\nOutput: not the same\n\nInput: Sentence 1: The cattle roam across the prairie. Sentence 2: The gypsies roamed the woods. Word: roam\nOutput: same\n\nInput: Sentence 1: Tap beer in a bar. Sentence 2: Tap an M3 thread all the way through the hole. Word: tap\nOutput: not the same\n\nInput: Sentence 1: Is this enough to cover the check? Sentence 2: This should cover everyone in the group. Word: cover\nOutput: not the same\n\nInput: Sentence 1: To admit a serious thought into the mind. Sentence 2: She admitted us. Word: admit\nOutput: same" } }, "6": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: We're adding another wall in this room during the remodeling. Sentence 2: Stomach walls. Word: wall\nOutput: not the same\n\nInput: Sentence 1: The match ended in their first loss of the season. Sentence 2: The company operated at a loss last year. Word: loss\nOutput: not the same\n\nInput: Sentence 1: Block a plate for printing. Sentence 2: Block the wheels of a car. Word: block\nOutput: same\n\nInput: Sentence 1: I try to avoid the company of gamblers. Sentence 2: We avoided the area. Word: avoid\nOutput: same\n\nInput: Sentence 1: Make a mess in one's office. Sentence 2: She'll make a fine president. Word: make\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: We're adding another wall in this room during the remodeling. Sentence 2: Stomach walls. Word: wall\nOutput: not the same\n\nInput: Sentence 1: The match ended in their first loss of the season. Sentence 2: The company operated at a loss last year. Word: loss\nOutput: not the same\n\nInput: Sentence 1: Block a plate for printing. Sentence 2: Block the wheels of a car. Word: block\nOutput: same\n\nInput: Sentence 1: I try to avoid the company of gamblers. Sentence 2: We avoided the area. Word: avoid\nOutput: same\n\nInput: Sentence 1: Make a mess in one's office. Sentence 2: She'll make a fine president. Word: make\nOutput: not the same" } }, "7": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: He walked to school every morning. Sentence 2: A school of small glittering fish swam by. Word: school\nOutput: not the same\n\nInput: Sentence 1: Work stone into tools. Sentence 2: How does your idea work in practice? Word: work\nOutput: not the same\n\nInput: Sentence 1: Port a rifle. Sentence 2: Port arms! Word: port\nOutput: same\n\nInput: Sentence 1: I shall be writing to you soon. Sentence 2: Ignorance is bliss. Word: be\nOutput: same\n\nInput: Sentence 1: Answer the door. Sentence 2: Nobody answered when I knocked on the door. Word: answer\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: He walked to school every morning. Sentence 2: A school of small glittering fish swam by. Word: school\nOutput: not the same\n\nInput: Sentence 1: Work stone into tools. Sentence 2: How does your idea work in practice? Word: work\nOutput: not the same\n\nInput: Sentence 1: Port a rifle. Sentence 2: Port arms! Word: port\nOutput: same\n\nInput: Sentence 1: I shall be writing to you soon. Sentence 2: Ignorance is bliss. Word: be\nOutput: same\n\nInput: Sentence 1: Answer the door. Sentence 2: Nobody answered when I knocked on the door. Word: answer\nOutput: same" } }, "8": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The renowned director could translate experience to film with ease. Sentence 2: Braque translated collage into oil. Word: translate\nOutput: same\n\nInput: Sentence 1: A hook-and-ladder company. Sentence 2: It took six companies to put out the fire. Word: company\nOutput: same\n\nInput: Sentence 1: He got out of line. Sentence 2: He drew a line on the chart. Word: line\nOutput: not the same\n\nInput: Sentence 1: Do you have a light? Sentence 2: The light of my life. Word: light\nOutput: not the same\n\nInput: Sentence 1: I know that I left the key on the table. Sentence 2: Galileo knew that the earth moves around the sun. Word: know\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The renowned director could translate experience to film with ease. Sentence 2: Braque translated collage into oil. Word: translate\nOutput: same\n\nInput: Sentence 1: A hook-and-ladder company. Sentence 2: It took six companies to put out the fire. Word: company\nOutput: same\n\nInput: Sentence 1: He got out of line. Sentence 2: He drew a line on the chart. Word: line\nOutput: not the same\n\nInput: Sentence 1: Do you have a light? Sentence 2: The light of my life. Word: light\nOutput: not the same\n\nInput: Sentence 1: I know that I left the key on the table. Sentence 2: Galileo knew that the earth moves around the sun. Word: know\nOutput: same" } }, "9": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The whole floor complained about the lack of heat. Sentence 2: The room has a wooden floor. Word: floor\nOutput: not the same\n\nInput: Sentence 1: They developed a scheme of mutual support. Sentence 2: The government provides support to the arts in several ways. Word: support\nOutput: same\n\nInput: Sentence 1: Pick a fight or a quarrel. Sentence 2: Pick pockets. Word: pick\nOutput: not the same\n\nInput: Sentence 1: Armored from head to foot. Sentence 2: The swiftest of foot. Word: foot\nOutput: not the same\n\nInput: Sentence 1: He was a successful pianist in his day. Sentence 2: In the days of sailing ships. Word: day\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The whole floor complained about the lack of heat. Sentence 2: The room has a wooden floor. Word: floor\nOutput: not the same\n\nInput: Sentence 1: They developed a scheme of mutual support. Sentence 2: The government provides support to the arts in several ways. Word: support\nOutput: same\n\nInput: Sentence 1: Pick a fight or a quarrel. Sentence 2: Pick pockets. Word: pick\nOutput: not the same\n\nInput: Sentence 1: Armored from head to foot. Sentence 2: The swiftest of foot. Word: foot\nOutput: not the same\n\nInput: Sentence 1: He was a successful pianist in his day. Sentence 2: In the days of sailing ships. Word: day\nOutput: same" } }, "10": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: I am reading a good book on economics. Sentence 2: They got a subpoena to examine our books. Word: book\nOutput: not the same\n\nInput: Sentence 1: The question of seniority will be discussed at the meeting. Sentence 2: There was a question of which material to use. Word: question\nOutput: same\n\nInput: Sentence 1: You should consult the dictionary. Sentence 2: They were content to consult libraries. -- William Whewell. Word: consult\nOutput: same\n\nInput: Sentence 1: Payments fall on the 1st of the month. Sentence 2: Night fell. Word: fall\nOutput: not the same\n\nInput: Sentence 1: Set fire to a building. Sentence 2: The moon sets at eight o'clock tonight. Word: set\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: I am reading a good book on economics. Sentence 2: They got a subpoena to examine our books. Word: book\nOutput: not the same\n\nInput: Sentence 1: The question of seniority will be discussed at the meeting. Sentence 2: There was a question of which material to use. Word: question\nOutput: same\n\nInput: Sentence 1: You should consult the dictionary. Sentence 2: They were content to consult libraries. -- William Whewell. Word: consult\nOutput: same\n\nInput: Sentence 1: Payments fall on the 1st of the month. Sentence 2: Night fell. Word: fall\nOutput: not the same\n\nInput: Sentence 1: Set fire to a building. Sentence 2: The moon sets at eight o'clock tonight. Word: set\nOutput: not the same" } }, "11": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: You must carry your camping gear. Sentence 2: This train is carrying nuclear waste. Word: carry\nOutput: same\n\nInput: Sentence 1: Keep potatoes fresh. Sentence 2: I can not keep track of all my employees. Word: keep\nOutput: not the same\n\nInput: Sentence 1: The song of bullets was in the air. Sentence 2: He bought it for a song. Word: song\nOutput: not the same\n\nInput: Sentence 1: A branch of Congress. Sentence 2: He broke off one of the branches. Word: branch\nOutput: not the same\n\nInput: Sentence 1: Let's get down to work now. Sentence 2: Get working as soon as the sun rises! Word: get\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: You must carry your camping gear. Sentence 2: This train is carrying nuclear waste. Word: carry\nOutput: same\n\nInput: Sentence 1: Keep potatoes fresh. Sentence 2: I can not keep track of all my employees. Word: keep\nOutput: not the same\n\nInput: Sentence 1: The song of bullets was in the air. Sentence 2: He bought it for a song. Word: song\nOutput: not the same\n\nInput: Sentence 1: A branch of Congress. Sentence 2: He broke off one of the branches. Word: branch\nOutput: not the same\n\nInput: Sentence 1: Let's get down to work now. Sentence 2: Get working as soon as the sun rises! Word: get\nOutput: same" } }, "12": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Victorian furniture is an interest of mine. Sentence 2: Lexicography is one of my interests. Word: interest\nOutput: same\n\nInput: Sentence 1: The ball hit the fence. Sentence 2: The movie hits theaters in December. Word: hit\nOutput: not the same\n\nInput: Sentence 1: It was all done in play. Sentence 2: Rain stopped play in the 4th inning. Word: play\nOutput: not the same\n\nInput: Sentence 1: Bob Dylan occupied the top slot for several weeks. Sentence 2: She beat some tough competition for the number one slot. Word: slot\nOutput: same\n\nInput: Sentence 1: Plug the hole. Sentence 2: He attempted to plug the leaks with some caulk. Word: plug\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Victorian furniture is an interest of mine. Sentence 2: Lexicography is one of my interests. Word: interest\nOutput: same\n\nInput: Sentence 1: The ball hit the fence. Sentence 2: The movie hits theaters in December. Word: hit\nOutput: not the same\n\nInput: Sentence 1: It was all done in play. Sentence 2: Rain stopped play in the 4th inning. Word: play\nOutput: not the same\n\nInput: Sentence 1: Bob Dylan occupied the top slot for several weeks. Sentence 2: She beat some tough competition for the number one slot. Word: slot\nOutput: same\n\nInput: Sentence 1: Plug the hole. Sentence 2: He attempted to plug the leaks with some caulk. Word: plug\nOutput: same" } }, "13": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: He stood on the right. Sentence 2: The pharmacy is just on the right past the bookshop. Word: right\nOutput: same\n\nInput: Sentence 1: There's little to earn and many to keep. Sentence 2: Keep count. Word: keep\nOutput: not the same\n\nInput: Sentence 1: Pull the tab to open the can. Sentence 2: The collar has a tab with a button hole. Word: tab\nOutput: same\n\nInput: Sentence 1: He's come a long way. Sentence 2: The shoes came untied. Word: come\nOutput: not the same\n\nInput: Sentence 1: Can you drive this four-wheel truck? Sentence 2: Drive the game. Word: drive\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: He stood on the right. Sentence 2: The pharmacy is just on the right past the bookshop. Word: right\nOutput: same\n\nInput: Sentence 1: There's little to earn and many to keep. Sentence 2: Keep count. Word: keep\nOutput: not the same\n\nInput: Sentence 1: Pull the tab to open the can. Sentence 2: The collar has a tab with a button hole. Word: tab\nOutput: same\n\nInput: Sentence 1: He's come a long way. Sentence 2: The shoes came untied. Word: come\nOutput: not the same\n\nInput: Sentence 1: Can you drive this four-wheel truck? Sentence 2: Drive the game. Word: drive\nOutput: not the same" } }, "14": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: He had worked in construction all his life. Sentence 2: Their main business is home construction. Word: construction\nOutput: same\n\nInput: Sentence 1: Check into the rumor. Sentence 2: He checked my kings. Word: check\nOutput: not the same\n\nInput: Sentence 1: Shorts that ride up. Sentence 2: Ship rides at anchor. Word: ride\nOutput: not the same\n\nInput: Sentence 1: Remove a case to another court. Sentence 2: Doug removed the smudges. Word: remove\nOutput: not the same\n\nInput: Sentence 1: She knows how to work the system. Sentence 2: He works his parents for sympathy. Word: work\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: He had worked in construction all his life. Sentence 2: Their main business is home construction. Word: construction\nOutput: same\n\nInput: Sentence 1: Check into the rumor. Sentence 2: He checked my kings. Word: check\nOutput: not the same\n\nInput: Sentence 1: Shorts that ride up. Sentence 2: Ship rides at anchor. Word: ride\nOutput: not the same\n\nInput: Sentence 1: Remove a case to another court. Sentence 2: Doug removed the smudges. Word: remove\nOutput: not the same\n\nInput: Sentence 1: She knows how to work the system. Sentence 2: He works his parents for sympathy. Word: work\nOutput: same" } }, "15": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: We hope you never have to suffer the same pain. Sentence 2: Many saints suffered martyrdom. Word: suffer\nOutput: same\n\nInput: Sentence 1: He was numb with shock. Sentence 2: The old car needed a new set of shocks. Word: shock\nOutput: not the same\n\nInput: Sentence 1: Ears open to catch every sound. Sentence 2: Catch a glimpse. Word: catch\nOutput: same\n\nInput: Sentence 1: In the abdominal region. Sentence 2: The temperate regions. Word: region\nOutput: not the same\n\nInput: Sentence 1: We should meet at a pre-arranged point. Sentence 2: They sailed south around the point. Word: point\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: We hope you never have to suffer the same pain. Sentence 2: Many saints suffered martyrdom. Word: suffer\nOutput: same\n\nInput: Sentence 1: He was numb with shock. Sentence 2: The old car needed a new set of shocks. Word: shock\nOutput: not the same\n\nInput: Sentence 1: Ears open to catch every sound. Sentence 2: Catch a glimpse. Word: catch\nOutput: same\n\nInput: Sentence 1: In the abdominal region. Sentence 2: The temperate regions. Word: region\nOutput: not the same\n\nInput: Sentence 1: We should meet at a pre-arranged point. Sentence 2: They sailed south around the point. Word: point\nOutput: not the same" } }, "16": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The car hit a tree. Sentence 2: The ball hit the fence. Word: hit\nOutput: same\n\nInput: Sentence 1: Play safe. Sentence 2: The tape was playing for hours. Word: play\nOutput: not the same\n\nInput: Sentence 1: Cut a Ping-Pong ball. Sentence 2: Cut paper dolls. Word: cut\nOutput: not the same\n\nInput: Sentence 1: Run an errand. Sentence 2: Who are these people running around in the building? Word: run\nOutput: not the same\n\nInput: Sentence 1: Come into contact with a terrorist group. Sentence 2: Their anger came to a boil. Word: come\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The car hit a tree. Sentence 2: The ball hit the fence. Word: hit\nOutput: same\n\nInput: Sentence 1: Play safe. Sentence 2: The tape was playing for hours. Word: play\nOutput: not the same\n\nInput: Sentence 1: Cut a Ping-Pong ball. Sentence 2: Cut paper dolls. Word: cut\nOutput: not the same\n\nInput: Sentence 1: Run an errand. Sentence 2: Who are these people running around in the building? Word: run\nOutput: not the same\n\nInput: Sentence 1: Come into contact with a terrorist group. Sentence 2: Their anger came to a boil. Word: come\nOutput: same" } }, "17": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: You reek of perfume. Sentence 2: Marshes reeking in the sun. Word: reek\nOutput: not the same\n\nInput: Sentence 1: Leave the young fawn alone. Sentence 2: Unfortunately, this cleaning product leaves behind a noticeable residue. Word: leave\nOutput: same\n\nInput: Sentence 1: Come into the room. Sentence 2: He came from France. Word: come\nOutput: same\n\nInput: Sentence 1: Soon the rain will stop. Sentence 2: The riots stopped when police moved in. Word: stop\nOutput: same\n\nInput: Sentence 1: He bought a book of stamps. Sentence 2: They run things by the book around here. Word: book\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: You reek of perfume. Sentence 2: Marshes reeking in the sun. Word: reek\nOutput: not the same\n\nInput: Sentence 1: Leave the young fawn alone. Sentence 2: Unfortunately, this cleaning product leaves behind a noticeable residue. Word: leave\nOutput: same\n\nInput: Sentence 1: Come into the room. Sentence 2: He came from France. Word: come\nOutput: same\n\nInput: Sentence 1: Soon the rain will stop. Sentence 2: The riots stopped when police moved in. Word: stop\nOutput: same\n\nInput: Sentence 1: He bought a book of stamps. Sentence 2: They run things by the book around here. Word: book\nOutput: not the same" } }, "18": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: They are up to date. Sentence 2: We haven't heard from them to date. Word: date\nOutput: same\n\nInput: Sentence 1: He won't step into his father's footsteps. Sentence 2: Step over to the blackboard. Word: step\nOutput: not the same\n\nInput: Sentence 1: Rise to a challenge. Sentence 2: The building rose before them. Word: rise\nOutput: not the same\n\nInput: Sentence 1: An obituary notice. Sentence 2: You didn't give me enough notice. Word: notice\nOutput: same\n\nInput: Sentence 1: Arouse pity. Sentence 2: To arouse compassion. Word: arouse\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: They are up to date. Sentence 2: We haven't heard from them to date. Word: date\nOutput: same\n\nInput: Sentence 1: He won't step into his father's footsteps. Sentence 2: Step over to the blackboard. Word: step\nOutput: not the same\n\nInput: Sentence 1: Rise to a challenge. Sentence 2: The building rose before them. Word: rise\nOutput: not the same\n\nInput: Sentence 1: An obituary notice. Sentence 2: You didn't give me enough notice. Word: notice\nOutput: same\n\nInput: Sentence 1: Arouse pity. Sentence 2: To arouse compassion. Word: arouse\nOutput: same" } }, "19": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: This material doesn't give. Sentence 2: He gave his life for his children. Word: give\nOutput: not the same\n\nInput: Sentence 1: When will the meeting be? Sentence 2: There were two hundred people at his funeral. Word: be\nOutput: same\n\nInput: Sentence 1: The back of the dental chair was adjustable. Sentence 2: He stood at the back of the stage. Word: back\nOutput: not the same\n\nInput: Sentence 1: This dough does not work easily. Sentence 2: He could not work the math problem. Word: work\nOutput: not the same\n\nInput: Sentence 1: The word \"kerosine\" is a variant of \"kerosene\". Sentence 2: A variant of the same word. Word: variant\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: This material doesn't give. Sentence 2: He gave his life for his children. Word: give\nOutput: not the same\n\nInput: Sentence 1: When will the meeting be? Sentence 2: There were two hundred people at his funeral. Word: be\nOutput: same\n\nInput: Sentence 1: The back of the dental chair was adjustable. Sentence 2: He stood at the back of the stage. Word: back\nOutput: not the same\n\nInput: Sentence 1: This dough does not work easily. Sentence 2: He could not work the math problem. Word: work\nOutput: not the same\n\nInput: Sentence 1: The word \"kerosine\" is a variant of \"kerosene\". Sentence 2: A variant of the same word. Word: variant\nOutput: same" } }, "20": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: How great thou art! Sentence 2: It's quite an art. Word: art\nOutput: same\n\nInput: Sentence 1: She didn't want to answer. Sentence 2: This may answer her needs. Word: answer\nOutput: not the same\n\nInput: Sentence 1: Dew dripped from the face of the leaf. Sentence 2: They climbed the north face of the mountain. Word: face\nOutput: same\n\nInput: Sentence 1: I need to rest for a piece. Sentence 2: He needed a piece of granite. Word: piece\nOutput: not the same\n\nInput: Sentence 1: He uttered harsh language. Sentence 2: The English language. Word: language\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: How great thou art! Sentence 2: It's quite an art. Word: art\nOutput: same\n\nInput: Sentence 1: She didn't want to answer. Sentence 2: This may answer her needs. Word: answer\nOutput: not the same\n\nInput: Sentence 1: Dew dripped from the face of the leaf. Sentence 2: They climbed the north face of the mountain. Word: face\nOutput: same\n\nInput: Sentence 1: I need to rest for a piece. Sentence 2: He needed a piece of granite. Word: piece\nOutput: not the same\n\nInput: Sentence 1: He uttered harsh language. Sentence 2: The English language. Word: language\nOutput: same" } }, "21": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: An advance in health or knowledge. Sentence 2: She rejected his advances. Word: advance\nOutput: not the same\n\nInput: Sentence 1: They had stock footage of lightning, tornados, and hurricanes. Sentence 2: He edited the news footage. Word: footage\nOutput: same\n\nInput: Sentence 1: I'll take the blue plates. Sentence 2: Take any one of these cards. Word: take\nOutput: same\n\nInput: Sentence 1: We drive the turnpike to work. Sentence 2: Drive the forest. Word: drive\nOutput: not the same\n\nInput: Sentence 1: Those clouds show little sign of raining soon. Sentence 2: He showed signs of strain. Word: sign\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: An advance in health or knowledge. Sentence 2: She rejected his advances. Word: advance\nOutput: not the same\n\nInput: Sentence 1: They had stock footage of lightning, tornados, and hurricanes. Sentence 2: He edited the news footage. Word: footage\nOutput: same\n\nInput: Sentence 1: I'll take the blue plates. Sentence 2: Take any one of these cards. Word: take\nOutput: same\n\nInput: Sentence 1: We drive the turnpike to work. Sentence 2: Drive the forest. Word: drive\nOutput: not the same\n\nInput: Sentence 1: Those clouds show little sign of raining soon. Sentence 2: He showed signs of strain. Word: sign\nOutput: same" } }, "22": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The rules forbid smoking. Sentence 2: The rules forbid our smoking. Word: forbid\nOutput: same\n\nInput: Sentence 1: The opponent refused to strike. Sentence 2: The teacher struck the child. Word: strike\nOutput: same\n\nInput: Sentence 1: This mushrooms can poison. Sentence 2: Poison someone's mind. Word: poison\nOutput: not the same\n\nInput: Sentence 1: The heart and soul of the Republican Party. Sentence 2: They ran forward into the heart of the struggle. Word: heart\nOutput: not the same\n\nInput: Sentence 1: Fall into a trap. Sentence 2: The estate fell to the oldest daughter. Word: fall\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The rules forbid smoking. Sentence 2: The rules forbid our smoking. Word: forbid\nOutput: same\n\nInput: Sentence 1: The opponent refused to strike. Sentence 2: The teacher struck the child. Word: strike\nOutput: same\n\nInput: Sentence 1: This mushrooms can poison. Sentence 2: Poison someone's mind. Word: poison\nOutput: not the same\n\nInput: Sentence 1: The heart and soul of the Republican Party. Sentence 2: They ran forward into the heart of the struggle. Word: heart\nOutput: not the same\n\nInput: Sentence 1: Fall into a trap. Sentence 2: The estate fell to the oldest daughter. Word: fall\nOutput: not the same" } }, "23": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Just think -- you could be rich one day! Sentence 2: Think what a scene it must have been! Word: think\nOutput: same\n\nInput: Sentence 1: Smell out corruption. Sentence 2: I smell trouble. Word: smell\nOutput: same\n\nInput: Sentence 1: Assisted procreation can help those trying to conceive. Sentence 2: The racist conceives such people to be inferior. Word: conceive\nOutput: not the same\n\nInput: Sentence 1: The class of all sets is not a set. Sentence 2: There are two classes of detergents. Word: class\nOutput: same\n\nInput: Sentence 1: I didn't catch your name. Sentence 2: One foot caught in the stirrup. Word: catch\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Just think -- you could be rich one day! Sentence 2: Think what a scene it must have been! Word: think\nOutput: same\n\nInput: Sentence 1: Smell out corruption. Sentence 2: I smell trouble. Word: smell\nOutput: same\n\nInput: Sentence 1: Assisted procreation can help those trying to conceive. Sentence 2: The racist conceives such people to be inferior. Word: conceive\nOutput: not the same\n\nInput: Sentence 1: The class of all sets is not a set. Sentence 2: There are two classes of detergents. Word: class\nOutput: same\n\nInput: Sentence 1: I didn't catch your name. Sentence 2: One foot caught in the stirrup. Word: catch\nOutput: not the same" } }, "24": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Drink was his downfall. Sentence 2: I'd like another drink please. Word: drink\nOutput: not the same\n\nInput: Sentence 1: Roll a cigarette. Sentence 2: They rolled from town to town. Word: roll\nOutput: not the same\n\nInput: Sentence 1: Range of motion. Sentence 2: The army maintains a missile range in the desert. Word: range\nOutput: not the same\n\nInput: Sentence 1: There was widespread danger of disease. Sentence 2: You are in no danger. Word: danger\nOutput: same\n\nInput: Sentence 1: Red Rum only won by a nose. Sentence 2: My horse lost the race by a nose. Word: nose\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Drink was his downfall. Sentence 2: I'd like another drink please. Word: drink\nOutput: not the same\n\nInput: Sentence 1: Roll a cigarette. Sentence 2: They rolled from town to town. Word: roll\nOutput: not the same\n\nInput: Sentence 1: Range of motion. Sentence 2: The army maintains a missile range in the desert. Word: range\nOutput: not the same\n\nInput: Sentence 1: There was widespread danger of disease. Sentence 2: You are in no danger. Word: danger\nOutput: same\n\nInput: Sentence 1: Red Rum only won by a nose. Sentence 2: My horse lost the race by a nose. Word: nose\nOutput: same" } }, "25": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Patch the skirt. Sentence 2: The field was patched with snow. Word: patch\nOutput: not the same\n\nInput: Sentence 1: Please turn down the volume on the stereo. Sentence 2: The kids played their music at full volume. Word: volume\nOutput: same\n\nInput: Sentence 1: A drop of each sample was analyzed. Sentence 2: They expected the drop would be successful. Word: drop\nOutput: not the same\n\nInput: Sentence 1: Fall by the wayside. Sentence 2: We must stand or fall. Word: fall\nOutput: same\n\nInput: Sentence 1: The dog barked at his own reflection in the mirror. Sentence 2: The pulse is a reflection of the heart's condition. Word: reflection\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Patch the skirt. Sentence 2: The field was patched with snow. Word: patch\nOutput: not the same\n\nInput: Sentence 1: Please turn down the volume on the stereo. Sentence 2: The kids played their music at full volume. Word: volume\nOutput: same\n\nInput: Sentence 1: A drop of each sample was analyzed. Sentence 2: They expected the drop would be successful. Word: drop\nOutput: not the same\n\nInput: Sentence 1: Fall by the wayside. Sentence 2: We must stand or fall. Word: fall\nOutput: same\n\nInput: Sentence 1: The dog barked at his own reflection in the mirror. Sentence 2: The pulse is a reflection of the heart's condition. Word: reflection\nOutput: not the same" } }, "26": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: She was granted leave to speak. Sentence 2: Might I beg leave to accompany you? Word: leave\nOutput: same\n\nInput: Sentence 1: (The believers ... those ...) who abstain from sex. Sentence 2: All you ever think about is sex. Word: sex\nOutput: same\n\nInput: Sentence 1: We are in accord with your proposal. Sentence 2: The accord of light and shade in painting. Word: accord\nOutput: not the same\n\nInput: Sentence 1: To pay attention. Sentence 2: She had to pay the penalty for speaking out rashly. Word: pay\nOutput: not the same\n\nInput: Sentence 1: Check your luggage before boarding. Sentence 2: She checked for an instant and missed a step. Word: check\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: She was granted leave to speak. Sentence 2: Might I beg leave to accompany you? Word: leave\nOutput: same\n\nInput: Sentence 1: (The believers ... those ...) who abstain from sex. Sentence 2: All you ever think about is sex. Word: sex\nOutput: same\n\nInput: Sentence 1: We are in accord with your proposal. Sentence 2: The accord of light and shade in painting. Word: accord\nOutput: not the same\n\nInput: Sentence 1: To pay attention. Sentence 2: She had to pay the penalty for speaking out rashly. Word: pay\nOutput: not the same\n\nInput: Sentence 1: Check your luggage before boarding. Sentence 2: She checked for an instant and missed a step. Word: check\nOutput: not the same" } }, "27": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Birds of prey often seize small mammals. Sentence 2: To seize smuggled goods. Word: seize\nOutput: not the same\n\nInput: Sentence 1: In the day of the dinosaurs. Sentence 2: In the days of sailing ships. Word: day\nOutput: same\n\nInput: Sentence 1: Make an estimate. Sentence 2: Can you make me an omelette? Word: make\nOutput: not the same\n\nInput: Sentence 1: He wants to reconstruct the original text. Sentence 2: They handed out the printed text of the mayor's speech. Word: text\nOutput: same\n\nInput: Sentence 1: The maths problem is a real snorter, isn't it? Sentence 2: The problem was a real snorter. Word: snorter\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Birds of prey often seize small mammals. Sentence 2: To seize smuggled goods. Word: seize\nOutput: not the same\n\nInput: Sentence 1: In the day of the dinosaurs. Sentence 2: In the days of sailing ships. Word: day\nOutput: same\n\nInput: Sentence 1: Make an estimate. Sentence 2: Can you make me an omelette? Word: make\nOutput: not the same\n\nInput: Sentence 1: He wants to reconstruct the original text. Sentence 2: They handed out the printed text of the mayor's speech. Word: text\nOutput: same\n\nInput: Sentence 1: The maths problem is a real snorter, isn't it? Sentence 2: The problem was a real snorter. Word: snorter\nOutput: same" } }, "28": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Within the compass of an encircling wall. Sentence 2: Within the compass of education. Word: compass\nOutput: same\n\nInput: Sentence 1: An air of mystery. Sentence 2: The program was on the air from 9 til midnight. Word: air\nOutput: not the same\n\nInput: Sentence 1: I need to charge my car battery. Sentence 2: He came charging into my office. Word: charge\nOutput: not the same\n\nInput: Sentence 1: Pack the books into the boxes. Sentence 2: To pack fish. Word: pack\nOutput: same\n\nInput: Sentence 1: To allow a son to be absent. Sentence 2: Mandela was allowed few visitors in prison. Word: allow\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Within the compass of an encircling wall. Sentence 2: Within the compass of education. Word: compass\nOutput: same\n\nInput: Sentence 1: An air of mystery. Sentence 2: The program was on the air from 9 til midnight. Word: air\nOutput: not the same\n\nInput: Sentence 1: I need to charge my car battery. Sentence 2: He came charging into my office. Word: charge\nOutput: not the same\n\nInput: Sentence 1: Pack the books into the boxes. Sentence 2: To pack fish. Word: pack\nOutput: same\n\nInput: Sentence 1: To allow a son to be absent. Sentence 2: Mandela was allowed few visitors in prison. Word: allow\nOutput: not the same" } }, "29": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: There was a connection via the internet. Sentence 2: The connection between overeating and obesity. Word: connection\nOutput: not the same\n\nInput: Sentence 1: Can we extend the legs of this dining table? Sentence 2: Extend the TV antenna. Word: extend\nOutput: not the same\n\nInput: Sentence 1: I take it you're not going? Sentence 2: How should I take this message? Word: take\nOutput: same\n\nInput: Sentence 1: A multinational operation. Sentence 2: They had to consolidate their operations. Word: operation\nOutput: same\n\nInput: Sentence 1: The patient developed severe pain and distension. Sentence 2: That kid is a terrible pain. Word: pain\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: There was a connection via the internet. Sentence 2: The connection between overeating and obesity. Word: connection\nOutput: not the same\n\nInput: Sentence 1: Can we extend the legs of this dining table? Sentence 2: Extend the TV antenna. Word: extend\nOutput: not the same\n\nInput: Sentence 1: I take it you're not going? Sentence 2: How should I take this message? Word: take\nOutput: same\n\nInput: Sentence 1: A multinational operation. Sentence 2: They had to consolidate their operations. Word: operation\nOutput: same\n\nInput: Sentence 1: The patient developed severe pain and distension. Sentence 2: That kid is a terrible pain. Word: pain\nOutput: not the same" } }, "30": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Come out of the closet! Sentence 2: He came through the door. Word: come\nOutput: same\n\nInput: Sentence 1: To fall off a point. Sentence 2: The one with the most points will win the game. Word: point\nOutput: not the same\n\nInput: Sentence 1: The play lasted two hours. Sentence 2: They made a futile play for power. Word: play\nOutput: not the same\n\nInput: Sentence 1: The offensive linemen tried to block the blitz. Sentence 2: He blocked the basketball player's shot. Word: block\nOutput: same\n\nInput: Sentence 1: He is on the purchasing side of the business. Sentence 2: Look on the bright side. Word: side\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Come out of the closet! Sentence 2: He came through the door. Word: come\nOutput: same\n\nInput: Sentence 1: To fall off a point. Sentence 2: The one with the most points will win the game. Word: point\nOutput: not the same\n\nInput: Sentence 1: The play lasted two hours. Sentence 2: They made a futile play for power. Word: play\nOutput: not the same\n\nInput: Sentence 1: The offensive linemen tried to block the blitz. Sentence 2: He blocked the basketball player's shot. Word: block\nOutput: same\n\nInput: Sentence 1: He is on the purchasing side of the business. Sentence 2: Look on the bright side. Word: side\nOutput: same" } }, "31": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: He can not carry a tune. Sentence 2: Amanda carried the package to New York. Word: carry\nOutput: not the same\n\nInput: Sentence 1: The truck overturned while carrying a full load of oil. Sentence 2: The system broke down under excessive loads. Word: load\nOutput: same\n\nInput: Sentence 1: The Earth turns. Sentence 2: He turned traitor. Word: turn\nOutput: not the same\n\nInput: Sentence 1: Refine oil. Sentence 2: Refine paper stock. Word: refine\nOutput: same\n\nInput: Sentence 1: To blow a horse. Sentence 2: Blow now! Word: blow\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: He can not carry a tune. Sentence 2: Amanda carried the package to New York. Word: carry\nOutput: not the same\n\nInput: Sentence 1: The truck overturned while carrying a full load of oil. Sentence 2: The system broke down under excessive loads. Word: load\nOutput: same\n\nInput: Sentence 1: The Earth turns. Sentence 2: He turned traitor. Word: turn\nOutput: not the same\n\nInput: Sentence 1: Refine oil. Sentence 2: Refine paper stock. Word: refine\nOutput: same\n\nInput: Sentence 1: To blow a horse. Sentence 2: Blow now! Word: blow\nOutput: not the same" } }, "32": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: He stuffed his mouth with candy. Sentence 2: He rode into the mouth of the canyon. Word: mouth\nOutput: not the same\n\nInput: Sentence 1: We hit Detroit by noon. Sentence 2: Jones hit for the pitcher. Word: hit\nOutput: same\n\nInput: Sentence 1: He could not work the math problem. Sentence 2: Work out your problems with the boss. Word: work\nOutput: same\n\nInput: Sentence 1: He comes from a place near Chicago. Sentence 2: He lost his place on the page. Word: place\nOutput: not the same\n\nInput: Sentence 1: A bedside stand. Sentence 2: The army made a final stand at the Rhone. Word: stand\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: He stuffed his mouth with candy. Sentence 2: He rode into the mouth of the canyon. Word: mouth\nOutput: not the same\n\nInput: Sentence 1: We hit Detroit by noon. Sentence 2: Jones hit for the pitcher. Word: hit\nOutput: same\n\nInput: Sentence 1: He could not work the math problem. Sentence 2: Work out your problems with the boss. Word: work\nOutput: same\n\nInput: Sentence 1: He comes from a place near Chicago. Sentence 2: He lost his place on the page. Word: place\nOutput: not the same\n\nInput: Sentence 1: A bedside stand. Sentence 2: The army made a final stand at the Rhone. Word: stand\nOutput: not the same" } }, "33": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: He was suffering from museum fatigue. Sentence 2: The American public is experiencing scandal fatigue. Word: fatigue\nOutput: same\n\nInput: Sentence 1: Take sick. Sentence 2: I estimate the trip will take about ten minutes. Word: take\nOutput: not the same\n\nInput: Sentence 1: Set the table. Sentence 2: Set the tray down. Word: set\nOutput: not the same\n\nInput: Sentence 1: Immediate demobilization of the reserves. Sentence 2: Demobilization of factories. Word: demobilization\nOutput: same\n\nInput: Sentence 1: Pay attention to. Sentence 2: Pay an obligation. Word: pay\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: He was suffering from museum fatigue. Sentence 2: The American public is experiencing scandal fatigue. Word: fatigue\nOutput: same\n\nInput: Sentence 1: Take sick. Sentence 2: I estimate the trip will take about ten minutes. Word: take\nOutput: not the same\n\nInput: Sentence 1: Set the table. Sentence 2: Set the tray down. Word: set\nOutput: not the same\n\nInput: Sentence 1: Immediate demobilization of the reserves. Sentence 2: Demobilization of factories. Word: demobilization\nOutput: same\n\nInput: Sentence 1: Pay attention to. Sentence 2: Pay an obligation. Word: pay\nOutput: not the same" } }, "34": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Draw a weapon. Sentence 2: A ship draws ten feet of water. Word: draw\nOutput: not the same\n\nInput: Sentence 1: Go about the world in a certain manner. Sentence 2: His knowledge doesn't go very far. Word: go\nOutput: not the same\n\nInput: Sentence 1: They always sat on the right side of the church. Sentence 2: The Confederate side was prepared to attack. Word: side\nOutput: not the same\n\nInput: Sentence 1: Bob Dylan occupied the top slot for several weeks. Sentence 2: She beat some tough competition for the number one slot. Word: slot\nOutput: same\n\nInput: Sentence 1: I carry her image in my mind's eye. Sentence 2: I carry these thoughts in the back of my head. Word: carry\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Draw a weapon. Sentence 2: A ship draws ten feet of water. Word: draw\nOutput: not the same\n\nInput: Sentence 1: Go about the world in a certain manner. Sentence 2: His knowledge doesn't go very far. Word: go\nOutput: not the same\n\nInput: Sentence 1: They always sat on the right side of the church. Sentence 2: The Confederate side was prepared to attack. Word: side\nOutput: not the same\n\nInput: Sentence 1: Bob Dylan occupied the top slot for several weeks. Sentence 2: She beat some tough competition for the number one slot. Word: slot\nOutput: same\n\nInput: Sentence 1: I carry her image in my mind's eye. Sentence 2: I carry these thoughts in the back of my head. Word: carry\nOutput: same" } }, "35": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Your mother is a right pain. Sentence 2: That kid is a terrible pain. Word: pain\nOutput: same\n\nInput: Sentence 1: Develop a passion for painting. Sentence 2: Develop the rook. Word: develop\nOutput: not the same\n\nInput: Sentence 1: Come into contact with a terrorist group. Sentence 2: The water came to a boil. Word: come\nOutput: same\n\nInput: Sentence 1: I am not of your persuasion. Sentence 2: It is his persuasion that abortion should never be condoned. Word: persuasion\nOutput: same\n\nInput: Sentence 1: The broadcast reached an audience of millions. Sentence 2: He requested an audience with the king. Word: audience\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Your mother is a right pain. Sentence 2: That kid is a terrible pain. Word: pain\nOutput: same\n\nInput: Sentence 1: Develop a passion for painting. Sentence 2: Develop the rook. Word: develop\nOutput: not the same\n\nInput: Sentence 1: Come into contact with a terrorist group. Sentence 2: The water came to a boil. Word: come\nOutput: same\n\nInput: Sentence 1: I am not of your persuasion. Sentence 2: It is his persuasion that abortion should never be condoned. Word: persuasion\nOutput: same\n\nInput: Sentence 1: The broadcast reached an audience of millions. Sentence 2: He requested an audience with the king. Word: audience\nOutput: not the same" } }, "36": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A branch of Congress. Sentence 2: He broke off one of the branches. Word: branch\nOutput: not the same\n\nInput: Sentence 1: Don't behave like a fool. Sentence 2: The children must learn to behave. Word: behave\nOutput: not the same\n\nInput: Sentence 1: Get nauseous. Sentence 2: She didn't get to Chicago until after midnight. Word: get\nOutput: not the same\n\nInput: Sentence 1: He is blind -- he can not see. Sentence 2: I saw their laughing and joking. Word: see\nOutput: same\n\nInput: Sentence 1: Seek happiness. Sentence 2: Seek a position. Word: seek\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A branch of Congress. Sentence 2: He broke off one of the branches. Word: branch\nOutput: not the same\n\nInput: Sentence 1: Don't behave like a fool. Sentence 2: The children must learn to behave. Word: behave\nOutput: not the same\n\nInput: Sentence 1: Get nauseous. Sentence 2: She didn't get to Chicago until after midnight. Word: get\nOutput: not the same\n\nInput: Sentence 1: He is blind -- he can not see. Sentence 2: I saw their laughing and joking. Word: see\nOutput: same\n\nInput: Sentence 1: Seek happiness. Sentence 2: Seek a position. Word: seek\nOutput: same" } }, "37": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: You must carry your camping gear. Sentence 2: This train is carrying nuclear waste. Word: carry\nOutput: same\n\nInput: Sentence 1: To approach the city. Sentence 2: We were approaching our destination. Word: approach\nOutput: same\n\nInput: Sentence 1: I can not bear his constant criticism. Sentence 2: He bore himself with dignity. Word: bear\nOutput: not the same\n\nInput: Sentence 1: He played with his rubber ball in the bathtub. Sentence 2: He threw nine straight balls before the manager yanked him. Word: ball\nOutput: not the same\n\nInput: Sentence 1: Give a course. Sentence 2: Give a gulp. Word: give\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: You must carry your camping gear. Sentence 2: This train is carrying nuclear waste. Word: carry\nOutput: same\n\nInput: Sentence 1: To approach the city. Sentence 2: We were approaching our destination. Word: approach\nOutput: same\n\nInput: Sentence 1: I can not bear his constant criticism. Sentence 2: He bore himself with dignity. Word: bear\nOutput: not the same\n\nInput: Sentence 1: He played with his rubber ball in the bathtub. Sentence 2: He threw nine straight balls before the manager yanked him. Word: ball\nOutput: not the same\n\nInput: Sentence 1: Give a course. Sentence 2: Give a gulp. Word: give\nOutput: not the same" } }, "38": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: He managed to wash out the stains. Sentence 2: The car is so dirty, we need to wash it. Word: wash\nOutput: same\n\nInput: Sentence 1: You really have to empathize with them. Sentence 2: You've really got to empathize with what they want. Word: empathize\nOutput: same\n\nInput: Sentence 1: Matters came to a head yesterday. Sentence 2: I've got to go to the head. Word: head\nOutput: not the same\n\nInput: Sentence 1: The characters were well drawn but the plot was banal. Sentence 2: They concocted a plot to discredit the governor. Word: plot\nOutput: not the same\n\nInput: Sentence 1: Introduce a rule. Sentence 2: Introduce exotic fruits. Word: introduce\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: He managed to wash out the stains. Sentence 2: The car is so dirty, we need to wash it. Word: wash\nOutput: same\n\nInput: Sentence 1: You really have to empathize with them. Sentence 2: You've really got to empathize with what they want. Word: empathize\nOutput: same\n\nInput: Sentence 1: Matters came to a head yesterday. Sentence 2: I've got to go to the head. Word: head\nOutput: not the same\n\nInput: Sentence 1: The characters were well drawn but the plot was banal. Sentence 2: They concocted a plot to discredit the governor. Word: plot\nOutput: not the same\n\nInput: Sentence 1: Introduce a rule. Sentence 2: Introduce exotic fruits. Word: introduce\nOutput: same" } }, "39": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Drill a hole into the wall. Sentence 2: Drill for oil. Word: drill\nOutput: same\n\nInput: Sentence 1: Please turn down the volume on the stereo. Sentence 2: The kids played their music at full volume. Word: volume\nOutput: same\n\nInput: Sentence 1: Take an opportunity. Sentence 2: The escaped convict took to the hills. Word: take\nOutput: not the same\n\nInput: Sentence 1: I have known him all his life. Sentence 2: She's my love, my life. Word: life\nOutput: not the same\n\nInput: Sentence 1: The present ministry of the Holy Spirit. Sentence 2: He is studying for the ministry. Word: ministry\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Drill a hole into the wall. Sentence 2: Drill for oil. Word: drill\nOutput: same\n\nInput: Sentence 1: Please turn down the volume on the stereo. Sentence 2: The kids played their music at full volume. Word: volume\nOutput: same\n\nInput: Sentence 1: Take an opportunity. Sentence 2: The escaped convict took to the hills. Word: take\nOutput: not the same\n\nInput: Sentence 1: I have known him all his life. Sentence 2: She's my love, my life. Word: life\nOutput: not the same\n\nInput: Sentence 1: The present ministry of the Holy Spirit. Sentence 2: He is studying for the ministry. Word: ministry\nOutput: same" } }, "40": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Turn the legs of the table. Sentence 2: People turn to mysticism at the turn of a millennium. Word: turn\nOutput: not the same\n\nInput: Sentence 1: Call a football game. Sentence 2: Bluejays called to one another. Word: call\nOutput: not the same\n\nInput: Sentence 1: My broker recommended a greater diversification of my investments. Sentence 2: He limited his losses by diversification of his product line. Word: diversification\nOutput: same\n\nInput: Sentence 1: Fall prey to an imposter. Sentence 2: She fell ill. Word: fall\nOutput: same\n\nInput: Sentence 1: Please focus on your studies and not on your hobbies. Sentence 2: We focused on what to do. Word: focus\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Turn the legs of the table. Sentence 2: People turn to mysticism at the turn of a millennium. Word: turn\nOutput: not the same\n\nInput: Sentence 1: Call a football game. Sentence 2: Bluejays called to one another. Word: call\nOutput: not the same\n\nInput: Sentence 1: My broker recommended a greater diversification of my investments. Sentence 2: He limited his losses by diversification of his product line. Word: diversification\nOutput: same\n\nInput: Sentence 1: Fall prey to an imposter. Sentence 2: She fell ill. Word: fall\nOutput: same\n\nInput: Sentence 1: Please focus on your studies and not on your hobbies. Sentence 2: We focused on what to do. Word: focus\nOutput: same" } }, "41": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Where am I going to get my next hit? Sentence 2: After three misses she finally got a hit. Word: hit\nOutput: not the same\n\nInput: Sentence 1: It is vital that he not know. Sentence 2: She knew of our plan. Word: know\nOutput: same\n\nInput: Sentence 1: Cut a ticket. Sentence 2: Cut a check. Word: cut\nOutput: same\n\nInput: Sentence 1: Drop a hint. Sentence 2: Shop til you drop. Word: drop\nOutput: not the same\n\nInput: Sentence 1: Use your head! Sentence 2: He doesn't know how to use a computer. Word: use\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Where am I going to get my next hit? Sentence 2: After three misses she finally got a hit. Word: hit\nOutput: not the same\n\nInput: Sentence 1: It is vital that he not know. Sentence 2: She knew of our plan. Word: know\nOutput: same\n\nInput: Sentence 1: Cut a ticket. Sentence 2: Cut a check. Word: cut\nOutput: same\n\nInput: Sentence 1: Drop a hint. Sentence 2: Shop til you drop. Word: drop\nOutput: not the same\n\nInput: Sentence 1: Use your head! Sentence 2: He doesn't know how to use a computer. Word: use\nOutput: same" } }, "42": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Go about the world in a certain manner. Sentence 2: Messages must go through diplomatic channels. Word: go\nOutput: same\n\nInput: Sentence 1: Wear one's hair in a certain way. Sentence 2: She wore a smile all day. Word: wear\nOutput: not the same\n\nInput: Sentence 1: Your wish will come true. Sentence 2: The bill came to $2,000. Word: come\nOutput: not the same\n\nInput: Sentence 1: The feeling is difficult to describe, but not unpleasant. Sentence 2: Discreet Italian police described it in a manner typically continental. Word: describe\nOutput: same\n\nInput: Sentence 1: This piano has a wonderful touch. Sentence 2: She likes the touch of silk on her skin. Word: touch\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Go about the world in a certain manner. Sentence 2: Messages must go through diplomatic channels. Word: go\nOutput: same\n\nInput: Sentence 1: Wear one's hair in a certain way. Sentence 2: She wore a smile all day. Word: wear\nOutput: not the same\n\nInput: Sentence 1: Your wish will come true. Sentence 2: The bill came to $2,000. Word: come\nOutput: not the same\n\nInput: Sentence 1: The feeling is difficult to describe, but not unpleasant. Sentence 2: Discreet Italian police described it in a manner typically continental. Word: describe\nOutput: same\n\nInput: Sentence 1: This piano has a wonderful touch. Sentence 2: She likes the touch of silk on her skin. Word: touch\nOutput: not the same" } }, "43": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: You never lift a finger to help me! Sentence 2: Lift an embargo. Word: lift\nOutput: not the same\n\nInput: Sentence 1: A lazy bum. Sentence 2: That guy keeps interrupting the concert. Throw the bum out! Word: bum\nOutput: same\n\nInput: Sentence 1: The application of indexes to tables of data. Sentence 2: The application of maximum thrust. Word: application\nOutput: same\n\nInput: Sentence 1: My sister lives in that apartment building. Sentence 2: There was a three-story building on the corner. Word: building\nOutput: same\n\nInput: Sentence 1: She may not make the grade. Sentence 2: He made twenty bucks playing poker last night. Word: make\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: You never lift a finger to help me! Sentence 2: Lift an embargo. Word: lift\nOutput: not the same\n\nInput: Sentence 1: A lazy bum. Sentence 2: That guy keeps interrupting the concert. Throw the bum out! Word: bum\nOutput: same\n\nInput: Sentence 1: The application of indexes to tables of data. Sentence 2: The application of maximum thrust. Word: application\nOutput: same\n\nInput: Sentence 1: My sister lives in that apartment building. Sentence 2: There was a three-story building on the corner. Word: building\nOutput: same\n\nInput: Sentence 1: She may not make the grade. Sentence 2: He made twenty bucks playing poker last night. Word: make\nOutput: not the same" } }, "44": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The story is false, so far as I can discover. Sentence 2: I discovered what to do. Word: discover\nOutput: same\n\nInput: Sentence 1: Do you take me for a fool? Sentence 2: You can't take credit for this! Word: take\nOutput: same\n\nInput: Sentence 1: Now we have a fine mess. Sentence 2: What do we have here? Word: have\nOutput: same\n\nInput: Sentence 1: I give you two minutes to respond. Sentence 2: She gave him First Aid. Word: give\nOutput: not the same\n\nInput: Sentence 1: It all happened in the space of 10 minutes. Sentence 2: They tested his ability to locate objects in space. Word: space\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The story is false, so far as I can discover. Sentence 2: I discovered what to do. Word: discover\nOutput: same\n\nInput: Sentence 1: Do you take me for a fool? Sentence 2: You can't take credit for this! Word: take\nOutput: same\n\nInput: Sentence 1: Now we have a fine mess. Sentence 2: What do we have here? Word: have\nOutput: same\n\nInput: Sentence 1: I give you two minutes to respond. Sentence 2: She gave him First Aid. Word: give\nOutput: not the same\n\nInput: Sentence 1: It all happened in the space of 10 minutes. Sentence 2: They tested his ability to locate objects in space. Word: space\nOutput: not the same" } }, "45": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: An achievement that puts everything else in the shade. Sentence 2: His brother's success left him in the shade. Word: shade\nOutput: same\n\nInput: Sentence 1: This dough does not work easily. Sentence 2: Can you work an electric drill? Word: work\nOutput: not the same\n\nInput: Sentence 1: A ship in distress. Sentence 2: She was the classic maiden in distress. Word: distress\nOutput: same\n\nInput: Sentence 1: Fall by the wayside. Sentence 2: The cities fell to the enemy. Word: fall\nOutput: not the same\n\nInput: Sentence 1: Pull a horse. Sentence 2: Pull weeds. Word: pull\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: An achievement that puts everything else in the shade. Sentence 2: His brother's success left him in the shade. Word: shade\nOutput: same\n\nInput: Sentence 1: This dough does not work easily. Sentence 2: Can you work an electric drill? Word: work\nOutput: not the same\n\nInput: Sentence 1: A ship in distress. Sentence 2: She was the classic maiden in distress. Word: distress\nOutput: same\n\nInput: Sentence 1: Fall by the wayside. Sentence 2: The cities fell to the enemy. Word: fall\nOutput: not the same\n\nInput: Sentence 1: Pull a horse. Sentence 2: Pull weeds. Word: pull\nOutput: not the same" } }, "46": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Raise a shout. Sentence 2: Raise a protest. Word: raise\nOutput: same\n\nInput: Sentence 1: I can not bear his constant criticism. Sentence 2: She is bearing his child. Word: bear\nOutput: not the same\n\nInput: Sentence 1: Our advertisements reach millions. Sentence 2: The sunlight reached the wall. Word: reach\nOutput: not the same\n\nInput: Sentence 1: The drinking fountain was out in the hall. Sentence 2: The elevators were at the end of the hall. Word: hall\nOutput: same\n\nInput: Sentence 1: We'll have to shift these boxes to the downtown office. Sentence 2: Shift the emphasis. Word: shift\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Raise a shout. Sentence 2: Raise a protest. Word: raise\nOutput: same\n\nInput: Sentence 1: I can not bear his constant criticism. Sentence 2: She is bearing his child. Word: bear\nOutput: not the same\n\nInput: Sentence 1: Our advertisements reach millions. Sentence 2: The sunlight reached the wall. Word: reach\nOutput: not the same\n\nInput: Sentence 1: The drinking fountain was out in the hall. Sentence 2: The elevators were at the end of the hall. Word: hall\nOutput: same\n\nInput: Sentence 1: We'll have to shift these boxes to the downtown office. Sentence 2: Shift the emphasis. Word: shift\nOutput: same" } }, "47": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: We'll get them! Sentence 2: Did you get it? Word: get\nOutput: not the same\n\nInput: Sentence 1: Please develop this roll of film for me. Sentence 2: Please develop this roll of film. Word: develop\nOutput: same\n\nInput: Sentence 1: My neighbour has an annoying cat. Sentence 2: My neighbour is very irritable and grumpy at times. Word: neighbour\nOutput: same\n\nInput: Sentence 1: Clean grain before milling it. Sentence 2: Clean the spots off the rug. Word: clean\nOutput: not the same\n\nInput: Sentence 1: The renowned director could translate experience to film with ease. Sentence 2: Braque translated collage into oil. Word: translate\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: We'll get them! Sentence 2: Did you get it? Word: get\nOutput: not the same\n\nInput: Sentence 1: Please develop this roll of film for me. Sentence 2: Please develop this roll of film. Word: develop\nOutput: same\n\nInput: Sentence 1: My neighbour has an annoying cat. Sentence 2: My neighbour is very irritable and grumpy at times. Word: neighbour\nOutput: same\n\nInput: Sentence 1: Clean grain before milling it. Sentence 2: Clean the spots off the rug. Word: clean\nOutput: not the same\n\nInput: Sentence 1: The renowned director could translate experience to film with ease. Sentence 2: Braque translated collage into oil. Word: translate\nOutput: same" } }, "48": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: These bonds carry warrants. Sentence 2: All major networks carried the press conference. Word: carry\nOutput: not the same\n\nInput: Sentence 1: To stick an apple on a fork. Sentence 2: He stuck the cloth with the needle. Word: stick\nOutput: same\n\nInput: Sentence 1: Clarify beer. Sentence 2: Clarify the butter. Word: clarify\nOutput: same\n\nInput: Sentence 1: Make enemies. Sentence 2: What do you make of his remarks? Word: make\nOutput: not the same\n\nInput: Sentence 1: I shall be writing to you soon. Sentence 2: The sky is a deep blue today. Word: be\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: These bonds carry warrants. Sentence 2: All major networks carried the press conference. Word: carry\nOutput: not the same\n\nInput: Sentence 1: To stick an apple on a fork. Sentence 2: He stuck the cloth with the needle. Word: stick\nOutput: same\n\nInput: Sentence 1: Clarify beer. Sentence 2: Clarify the butter. Word: clarify\nOutput: same\n\nInput: Sentence 1: Make enemies. Sentence 2: What do you make of his remarks? Word: make\nOutput: not the same\n\nInput: Sentence 1: I shall be writing to you soon. Sentence 2: The sky is a deep blue today. Word: be\nOutput: same" } }, "49": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The number of parameters is small. Sentence 2: He had a number of chores to do. Word: number\nOutput: same\n\nInput: Sentence 1: It brought out his better side. Sentence 2: They always sat on the right side of the church. Word: side\nOutput: not the same\n\nInput: Sentence 1: A ceremony commemorating Pearl Harbor. Sentence 2: He disposed of it without ceremony. Word: ceremony\nOutput: not the same\n\nInput: Sentence 1: His submission to the will of God. Sentence 2: The union was brought into submission. Word: submission\nOutput: same\n\nInput: Sentence 1: Open to attack by the elements. Sentence 2: The film was sensitive to attack by acids. Word: attack\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The number of parameters is small. Sentence 2: He had a number of chores to do. Word: number\nOutput: same\n\nInput: Sentence 1: It brought out his better side. Sentence 2: They always sat on the right side of the church. Word: side\nOutput: not the same\n\nInput: Sentence 1: A ceremony commemorating Pearl Harbor. Sentence 2: He disposed of it without ceremony. Word: ceremony\nOutput: not the same\n\nInput: Sentence 1: His submission to the will of God. Sentence 2: The union was brought into submission. Word: submission\nOutput: same\n\nInput: Sentence 1: Open to attack by the elements. Sentence 2: The film was sensitive to attack by acids. Word: attack\nOutput: same" } }, "50": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Do you know the way to the airport? Sentence 2: They split the loot three ways. Word: way\nOutput: not the same\n\nInput: Sentence 1: Our football team took a licking last night. Sentence 2: They suffered a convincing licking. Word: licking\nOutput: same\n\nInput: Sentence 1: Let's break for lunch. Sentence 2: A man broken by the terrible experience of near-death. Word: break\nOutput: not the same\n\nInput: Sentence 1: I can not bear his constant criticism. Sentence 2: He bore himself with dignity. Word: bear\nOutput: not the same\n\nInput: Sentence 1: The patient was bleeding on the right side. Sentence 2: He had a pain in his side. Word: side\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Do you know the way to the airport? Sentence 2: They split the loot three ways. Word: way\nOutput: not the same\n\nInput: Sentence 1: Our football team took a licking last night. Sentence 2: They suffered a convincing licking. Word: licking\nOutput: same\n\nInput: Sentence 1: Let's break for lunch. Sentence 2: A man broken by the terrible experience of near-death. Word: break\nOutput: not the same\n\nInput: Sentence 1: I can not bear his constant criticism. Sentence 2: He bore himself with dignity. Word: bear\nOutput: not the same\n\nInput: Sentence 1: The patient was bleeding on the right side. Sentence 2: He had a pain in his side. Word: side\nOutput: same" } }, "51": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Hold your breath. Sentence 2: He's held by a contract. Word: hold\nOutput: not the same\n\nInput: Sentence 1: Come into contact with a terrorist group. Sentence 2: Where did you come from? Word: come\nOutput: not the same\n\nInput: Sentence 1: Catch one's breath. Sentence 2: Catch some sleep. Word: catch\nOutput: same\n\nInput: Sentence 1: Increasing recognition that diabetes frequently coexists with other chronic diseases. Sentence 2: A sudden recognition of the problem he faced. Word: recognition\nOutput: same\n\nInput: Sentence 1: Carry the suitcases to the car. Sentence 2: Amanda carried the package to New York. Word: carry\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Hold your breath. Sentence 2: He's held by a contract. Word: hold\nOutput: not the same\n\nInput: Sentence 1: Come into contact with a terrorist group. Sentence 2: Where did you come from? Word: come\nOutput: not the same\n\nInput: Sentence 1: Catch one's breath. Sentence 2: Catch some sleep. Word: catch\nOutput: same\n\nInput: Sentence 1: Increasing recognition that diabetes frequently coexists with other chronic diseases. Sentence 2: A sudden recognition of the problem he faced. Word: recognition\nOutput: same\n\nInput: Sentence 1: Carry the suitcases to the car. Sentence 2: Amanda carried the package to New York. Word: carry\nOutput: same" } }, "52": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Read the advertisement. Sentence 2: Have you read Salman Rushdie? Word: read\nOutput: same\n\nInput: Sentence 1: Call a runner out. Sentence 2: Call a football game. Word: call\nOutput: not the same\n\nInput: Sentence 1: Put the kettle on the fire. Sentence 2: Fire was one of our ancestors' first discoveries. Word: fire\nOutput: not the same\n\nInput: Sentence 1: It's been an age since we last saw you. Sentence 2: It was replaced because of its age. Word: age\nOutput: same\n\nInput: Sentence 1: It contains approximately a third of the minimum daily requirement. Sentence 2: He ate a third of the pie. Word: third\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Read the advertisement. Sentence 2: Have you read Salman Rushdie? Word: read\nOutput: same\n\nInput: Sentence 1: Call a runner out. Sentence 2: Call a football game. Word: call\nOutput: not the same\n\nInput: Sentence 1: Put the kettle on the fire. Sentence 2: Fire was one of our ancestors' first discoveries. Word: fire\nOutput: not the same\n\nInput: Sentence 1: It's been an age since we last saw you. Sentence 2: It was replaced because of its age. Word: age\nOutput: same\n\nInput: Sentence 1: It contains approximately a third of the minimum daily requirement. Sentence 2: He ate a third of the pie. Word: third\nOutput: not the same" } }, "53": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A drain on resources. Sentence 2: A drain of young talent by emigration. Word: drain\nOutput: same\n\nInput: Sentence 1: Rise to a challenge. Sentence 2: The building rose before them. Word: rise\nOutput: not the same\n\nInput: Sentence 1: The south wall had a small window. Sentence 2: A wall of prejudice. Word: wall\nOutput: not the same\n\nInput: Sentence 1: I feel that he doesn't like me. Sentence 2: I felt my way cautiously through the dangerous business maneuver. Word: feel\nOutput: not the same\n\nInput: Sentence 1: Can you connect the two loudspeakers? Sentence 2: This computer will connect well to the network. Word: connect\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A drain on resources. Sentence 2: A drain of young talent by emigration. Word: drain\nOutput: same\n\nInput: Sentence 1: Rise to a challenge. Sentence 2: The building rose before them. Word: rise\nOutput: not the same\n\nInput: Sentence 1: The south wall had a small window. Sentence 2: A wall of prejudice. Word: wall\nOutput: not the same\n\nInput: Sentence 1: I feel that he doesn't like me. Sentence 2: I felt my way cautiously through the dangerous business maneuver. Word: feel\nOutput: not the same\n\nInput: Sentence 1: Can you connect the two loudspeakers? Sentence 2: This computer will connect well to the network. Word: connect\nOutput: same" } }, "54": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A beggar's masquerade of wealth. Sentence 2: I was invited to the masquerade at their home. Word: masquerade\nOutput: same\n\nInput: Sentence 1: Break cigarette smoking. Sentence 2: He slipped on the ice and broke his leg. Word: break\nOutput: not the same\n\nInput: Sentence 1: Roll your hair around your finger. Sentence 2: The thunder rolled. Word: roll\nOutput: not the same\n\nInput: Sentence 1: Do you want to work after the age of 60? Sentence 2: My wife never worked. Word: work\nOutput: same\n\nInput: Sentence 1: A fan aids air circulation. Sentence 2: Ocean circulation is an important part of global climate. Word: circulation\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A beggar's masquerade of wealth. Sentence 2: I was invited to the masquerade at their home. Word: masquerade\nOutput: same\n\nInput: Sentence 1: Break cigarette smoking. Sentence 2: He slipped on the ice and broke his leg. Word: break\nOutput: not the same\n\nInput: Sentence 1: Roll your hair around your finger. Sentence 2: The thunder rolled. Word: roll\nOutput: not the same\n\nInput: Sentence 1: Do you want to work after the age of 60? Sentence 2: My wife never worked. Word: work\nOutput: same\n\nInput: Sentence 1: A fan aids air circulation. Sentence 2: Ocean circulation is an important part of global climate. Word: circulation\nOutput: same" } }, "55": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: He held me up at the point of a gun. Sentence 2: The one with the most points will win the game. Word: point\nOutput: not the same\n\nInput: Sentence 1: Take two aspirin and call me in the morning. Sentence 2: I tried to call you all night. Word: call\nOutput: same\n\nInput: Sentence 1: Throw a javelin. Sentence 2: She threw herself forwards. Word: throw\nOutput: not the same\n\nInput: Sentence 1: He had no clear picture of himself or his world. Sentence 2: He described his mental picture of his assailant. Word: picture\nOutput: same\n\nInput: Sentence 1: They gave full play to the artist's talent. Sentence 2: We saw a two-act play in the theatre. Word: play\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: He held me up at the point of a gun. Sentence 2: The one with the most points will win the game. Word: point\nOutput: not the same\n\nInput: Sentence 1: Take two aspirin and call me in the morning. Sentence 2: I tried to call you all night. Word: call\nOutput: same\n\nInput: Sentence 1: Throw a javelin. Sentence 2: She threw herself forwards. Word: throw\nOutput: not the same\n\nInput: Sentence 1: He had no clear picture of himself or his world. Sentence 2: He described his mental picture of his assailant. Word: picture\nOutput: same\n\nInput: Sentence 1: They gave full play to the artist's talent. Sentence 2: We saw a two-act play in the theatre. Word: play\nOutput: not the same" } }, "56": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The piece has a fast rhythm. Sentence 2: We walked with a quick, even rhythm. Word: rhythm\nOutput: same\n\nInput: Sentence 1: Ditch a plane. Sentence 2: Ditch a lover. Word: ditch\nOutput: not the same\n\nInput: Sentence 1: He came to a bad end. Sentence 2: The end of town. Word: end\nOutput: not the same\n\nInput: Sentence 1: $50 won't even purchase a dress. Sentence 2: The family purchased a new car. Word: purchase\nOutput: same\n\nInput: Sentence 1: Make love, not war. Sentence 2: Make revolution. Word: make\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The piece has a fast rhythm. Sentence 2: We walked with a quick, even rhythm. Word: rhythm\nOutput: same\n\nInput: Sentence 1: Ditch a plane. Sentence 2: Ditch a lover. Word: ditch\nOutput: not the same\n\nInput: Sentence 1: He came to a bad end. Sentence 2: The end of town. Word: end\nOutput: not the same\n\nInput: Sentence 1: $50 won't even purchase a dress. Sentence 2: The family purchased a new car. Word: purchase\nOutput: same\n\nInput: Sentence 1: Make love, not war. Sentence 2: Make revolution. Word: make\nOutput: same" } }, "57": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A school of small glittering fish swam by. Sentence 2: The divers encountered a huge school of mackerel. Word: school\nOutput: same\n\nInput: Sentence 1: Make merry. Sentence 2: She makes like an actress. Word: make\nOutput: not the same\n\nInput: Sentence 1: I don't care what he does. Sentence 2: We cared about the opera. Word: care\nOutput: same\n\nInput: Sentence 1: An estimate of what it would cost. Sentence 2: Many factors are involved in any estimate of human life. Word: estimate\nOutput: not the same\n\nInput: Sentence 1: Ready, set, go! Sentence 2: I went on holiday and got malaria. Word: go\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A school of small glittering fish swam by. Sentence 2: The divers encountered a huge school of mackerel. Word: school\nOutput: same\n\nInput: Sentence 1: Make merry. Sentence 2: She makes like an actress. Word: make\nOutput: not the same\n\nInput: Sentence 1: I don't care what he does. Sentence 2: We cared about the opera. Word: care\nOutput: same\n\nInput: Sentence 1: An estimate of what it would cost. Sentence 2: Many factors are involved in any estimate of human life. Word: estimate\nOutput: not the same\n\nInput: Sentence 1: Ready, set, go! Sentence 2: I went on holiday and got malaria. Word: go\nOutput: not the same" } }, "58": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: She refused to give them her Social Security number. Sentence 2: She preferred the black nylon number. Word: number\nOutput: not the same\n\nInput: Sentence 1: The acquisition of one company by another. Sentence 2: The acquisition of wealth. Word: acquisition\nOutput: same\n\nInput: Sentence 1: In the interest of safety. Sentence 2: In the common interest. Word: interest\nOutput: same\n\nInput: Sentence 1: Make a move. Sentence 2: Make advances. Word: make\nOutput: same\n\nInput: Sentence 1: Cut grain. Sentence 2: Cut a disk. Word: cut\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: She refused to give them her Social Security number. Sentence 2: She preferred the black nylon number. Word: number\nOutput: not the same\n\nInput: Sentence 1: The acquisition of one company by another. Sentence 2: The acquisition of wealth. Word: acquisition\nOutput: same\n\nInput: Sentence 1: In the interest of safety. Sentence 2: In the common interest. Word: interest\nOutput: same\n\nInput: Sentence 1: Make a move. Sentence 2: Make advances. Word: make\nOutput: same\n\nInput: Sentence 1: Cut grain. Sentence 2: Cut a disk. Word: cut\nOutput: not the same" } }, "59": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The formation of sentences. Sentence 2: A defensive formation. Word: formation\nOutput: not the same\n\nInput: Sentence 1: Shopping center. Sentence 2: The center fumbled the handoff. Word: center\nOutput: not the same\n\nInput: Sentence 1: He held me up at the point of a gun. Sentence 2: The one with the most points will win the game. Word: point\nOutput: not the same\n\nInput: Sentence 1: Come down here! Sentence 2: He came from France. Word: come\nOutput: same\n\nInput: Sentence 1: It was my good luck to be there. Sentence 2: They say luck is a lady. Word: luck\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The formation of sentences. Sentence 2: A defensive formation. Word: formation\nOutput: not the same\n\nInput: Sentence 1: Shopping center. Sentence 2: The center fumbled the handoff. Word: center\nOutput: not the same\n\nInput: Sentence 1: He held me up at the point of a gun. Sentence 2: The one with the most points will win the game. Word: point\nOutput: not the same\n\nInput: Sentence 1: Come down here! Sentence 2: He came from France. Word: come\nOutput: same\n\nInput: Sentence 1: It was my good luck to be there. Sentence 2: They say luck is a lady. Word: luck\nOutput: same" } }, "60": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A stick of dynamite. Sentence 2: Cinnamon sticks. Word: stick\nOutput: same\n\nInput: Sentence 1: Make a phone call. Sentence 2: Make a move. Word: make\nOutput: same\n\nInput: Sentence 1: Suffer a terrible fate. Sentence 2: His grades suffered. Word: suffer\nOutput: not the same\n\nInput: Sentence 1: Pay a debt. Sentence 2: He was allowed to go as soon as he paid. Word: pay\nOutput: same\n\nInput: Sentence 1: The boat beat in the strong wind. Sentence 2: I beat the traffic. Word: beat\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A stick of dynamite. Sentence 2: Cinnamon sticks. Word: stick\nOutput: same\n\nInput: Sentence 1: Make a phone call. Sentence 2: Make a move. Word: make\nOutput: same\n\nInput: Sentence 1: Suffer a terrible fate. Sentence 2: His grades suffered. Word: suffer\nOutput: not the same\n\nInput: Sentence 1: Pay a debt. Sentence 2: He was allowed to go as soon as he paid. Word: pay\nOutput: same\n\nInput: Sentence 1: The boat beat in the strong wind. Sentence 2: I beat the traffic. Word: beat\nOutput: not the same" } }, "61": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The facts had been brought to the surface. Sentence 2: Three quarters of the Earth's surface is covered by water. Word: surface\nOutput: not the same\n\nInput: Sentence 1: He left school before the end of term. Sentence 2: A prison term. Word: term\nOutput: same\n\nInput: Sentence 1: I find this difficult to masturbate to. Sentence 2: The old man wanted to be masturbated by the prostitute. Word: masturbate\nOutput: same\n\nInput: Sentence 1: The artist must first learn to see. Sentence 2: I went to see my friend Mary the other day. Word: see\nOutput: not the same\n\nInput: Sentence 1: He sailed around the world. Sentence 2: All the world loves a lover. Word: world\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The facts had been brought to the surface. Sentence 2: Three quarters of the Earth's surface is covered by water. Word: surface\nOutput: not the same\n\nInput: Sentence 1: He left school before the end of term. Sentence 2: A prison term. Word: term\nOutput: same\n\nInput: Sentence 1: I find this difficult to masturbate to. Sentence 2: The old man wanted to be masturbated by the prostitute. Word: masturbate\nOutput: same\n\nInput: Sentence 1: The artist must first learn to see. Sentence 2: I went to see my friend Mary the other day. Word: see\nOutput: not the same\n\nInput: Sentence 1: He sailed around the world. Sentence 2: All the world loves a lover. Word: world\nOutput: not the same" } }, "62": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: We like to summer in the Mediterranean. Sentence 2: My family always summered at the seashore. Word: summer\nOutput: same\n\nInput: Sentence 1: To raise a wall, or a heap of stones. Sentence 2: The President raised several million dollars for his college. Word: raise\nOutput: not the same\n\nInput: Sentence 1: Increased expenses put a squeeze on profits. Sentence 2: Getting through that small opening was a tight squeeze. Word: squeeze\nOutput: not the same\n\nInput: Sentence 1: To snap a whip. Sentence 2: The pipe snapped. Word: snap\nOutput: not the same\n\nInput: Sentence 1: He started the company in his garage. Sentence 2: He only invests in large well-established companies. Word: company\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: We like to summer in the Mediterranean. Sentence 2: My family always summered at the seashore. Word: summer\nOutput: same\n\nInput: Sentence 1: To raise a wall, or a heap of stones. Sentence 2: The President raised several million dollars for his college. Word: raise\nOutput: not the same\n\nInput: Sentence 1: Increased expenses put a squeeze on profits. Sentence 2: Getting through that small opening was a tight squeeze. Word: squeeze\nOutput: not the same\n\nInput: Sentence 1: To snap a whip. Sentence 2: The pipe snapped. Word: snap\nOutput: not the same\n\nInput: Sentence 1: He started the company in his garage. Sentence 2: He only invests in large well-established companies. Word: company\nOutput: same" } }, "63": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Keep food for a week in the pantry. Sentence 2: I always keep batteries in the freezer. Word: keep\nOutput: same\n\nInput: Sentence 1: How fast does your new car go? Sentence 2: This door goes to the basement. Word: go\nOutput: not the same\n\nInput: Sentence 1: It's been an age since we last saw you. Sentence 2: It was replaced because of its age. Word: age\nOutput: same\n\nInput: Sentence 1: To draw a memorial, a deed, or bill of exchange. Sentence 2: The deed was drawn in the lawyer's office. Word: draw\nOutput: same\n\nInput: Sentence 1: The foot of the list. Sentence 2: He stood at the foot of the tower. Word: foot\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Keep food for a week in the pantry. Sentence 2: I always keep batteries in the freezer. Word: keep\nOutput: same\n\nInput: Sentence 1: How fast does your new car go? Sentence 2: This door goes to the basement. Word: go\nOutput: not the same\n\nInput: Sentence 1: It's been an age since we last saw you. Sentence 2: It was replaced because of its age. Word: age\nOutput: same\n\nInput: Sentence 1: To draw a memorial, a deed, or bill of exchange. Sentence 2: The deed was drawn in the lawyer's office. Word: draw\nOutput: same\n\nInput: Sentence 1: The foot of the list. Sentence 2: He stood at the foot of the tower. Word: foot\nOutput: not the same" } }, "64": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Litmus paper turns red on contact with an acid. Sentence 2: They forget to solder the contacts. Word: contact\nOutput: not the same\n\nInput: Sentence 1: Attempts to explain the origin of evil in the world. Sentence 2: Don't go giving me evils! Word: evil\nOutput: same\n\nInput: Sentence 1: One swallow does not a summer make. Sentence 2: This makes the third infraction. Word: make\nOutput: same\n\nInput: Sentence 1: We had the chance to meet the president last week. Sentence 2: Now is your chance. Word: chance\nOutput: same\n\nInput: Sentence 1: The plane went into a steep bank. Sentence 2: A huge bank of earth. Word: bank\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Litmus paper turns red on contact with an acid. Sentence 2: They forget to solder the contacts. Word: contact\nOutput: not the same\n\nInput: Sentence 1: Attempts to explain the origin of evil in the world. Sentence 2: Don't go giving me evils! Word: evil\nOutput: same\n\nInput: Sentence 1: One swallow does not a summer make. Sentence 2: This makes the third infraction. Word: make\nOutput: same\n\nInput: Sentence 1: We had the chance to meet the president last week. Sentence 2: Now is your chance. Word: chance\nOutput: same\n\nInput: Sentence 1: The plane went into a steep bank. Sentence 2: A huge bank of earth. Word: bank\nOutput: not the same" } }, "65": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Give one's talents to a good cause. Sentence 2: What gives? Word: give\nOutput: not the same\n\nInput: Sentence 1: Tomorrow the doctor will take the cast off her arm. Sentence 2: Take the gun from your pocket. Word: take\nOutput: same\n\nInput: Sentence 1: To empty a well or a cistern. Sentence 2: The cinema emptied quickly after the end of the film. Word: empty\nOutput: same\n\nInput: Sentence 1: The mayor threw out the first ball. Sentence 2: The ball rolled into the corner pocket. Word: ball\nOutput: same\n\nInput: Sentence 1: A remarkable degree of frankness. Sentence 2: There are 360 degrees in a circle. Word: degree\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Give one's talents to a good cause. Sentence 2: What gives? Word: give\nOutput: not the same\n\nInput: Sentence 1: Tomorrow the doctor will take the cast off her arm. Sentence 2: Take the gun from your pocket. Word: take\nOutput: same\n\nInput: Sentence 1: To empty a well or a cistern. Sentence 2: The cinema emptied quickly after the end of the film. Word: empty\nOutput: same\n\nInput: Sentence 1: The mayor threw out the first ball. Sentence 2: The ball rolled into the corner pocket. Word: ball\nOutput: same\n\nInput: Sentence 1: A remarkable degree of frankness. Sentence 2: There are 360 degrees in a circle. Word: degree\nOutput: not the same" } }, "66": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: My day began early this morning. Sentence 2: She called it a day and went to bed. Word: day\nOutput: same\n\nInput: Sentence 1: Strengthen the relations between the two countries. Sentence 2: This exercise will strengthen your upper body. Word: strengthen\nOutput: same\n\nInput: Sentence 1: To line the shelves. Sentence 2: Line one's pockets. Word: line\nOutput: same\n\nInput: Sentence 1: Turn your face to the wall. Sentence 2: She is turning 50 this year. Word: turn\nOutput: not the same\n\nInput: Sentence 1: Crime doesn't pay. Sentence 2: He paid me 5000 pounds for the car. Word: pay\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: My day began early this morning. Sentence 2: She called it a day and went to bed. Word: day\nOutput: same\n\nInput: Sentence 1: Strengthen the relations between the two countries. Sentence 2: This exercise will strengthen your upper body. Word: strengthen\nOutput: same\n\nInput: Sentence 1: To line the shelves. Sentence 2: Line one's pockets. Word: line\nOutput: same\n\nInput: Sentence 1: Turn your face to the wall. Sentence 2: She is turning 50 this year. Word: turn\nOutput: not the same\n\nInput: Sentence 1: Crime doesn't pay. Sentence 2: He paid me 5000 pounds for the car. Word: pay\nOutput: not the same" } }, "67": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: What do you make of his remarks? Sentence 2: Make a mistake. Word: make\nOutput: not the same\n\nInput: Sentence 1: A drop of each sample was analyzed. Sentence 2: There is not a drop of pity in that man. Word: drop\nOutput: same\n\nInput: Sentence 1: He cut a sorry figure standing there in the rain. Sentence 2: He made a figure of Santa Claus. Word: figure\nOutput: not the same\n\nInput: Sentence 1: We can use this mathematical formula to solve the problem. Sentence 2: Use this knife to slice the bread. Word: use\nOutput: same\n\nInput: Sentence 1: An art exhibition. Sentence 2: I was never any good at art. Word: art\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: What do you make of his remarks? Sentence 2: Make a mistake. Word: make\nOutput: not the same\n\nInput: Sentence 1: A drop of each sample was analyzed. Sentence 2: There is not a drop of pity in that man. Word: drop\nOutput: same\n\nInput: Sentence 1: He cut a sorry figure standing there in the rain. Sentence 2: He made a figure of Santa Claus. Word: figure\nOutput: not the same\n\nInput: Sentence 1: We can use this mathematical formula to solve the problem. Sentence 2: Use this knife to slice the bread. Word: use\nOutput: same\n\nInput: Sentence 1: An art exhibition. Sentence 2: I was never any good at art. Word: art\nOutput: not the same" } }, "68": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: I didn't hold a good hand all evening. Sentence 2: Objections were voiced on every hand. Word: hand\nOutput: not the same\n\nInput: Sentence 1: In England they call a slowpoke a slowcoach. Sentence 2: Hey you slowcoaches in the back! Get a move on! Word: slowcoach\nOutput: same\n\nInput: Sentence 1: Book fair. Sentence 2: World fair. Word: fair\nOutput: same\n\nInput: Sentence 1: The house is in order. Sentence 2: IBM received an order for a hundred computers. Word: order\nOutput: not the same\n\nInput: Sentence 1: These bonds carry warrants. Sentence 2: She carries her ideas to the extreme. Word: carry\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: I didn't hold a good hand all evening. Sentence 2: Objections were voiced on every hand. Word: hand\nOutput: not the same\n\nInput: Sentence 1: In England they call a slowpoke a slowcoach. Sentence 2: Hey you slowcoaches in the back! Get a move on! Word: slowcoach\nOutput: same\n\nInput: Sentence 1: Book fair. Sentence 2: World fair. Word: fair\nOutput: same\n\nInput: Sentence 1: The house is in order. Sentence 2: IBM received an order for a hundred computers. Word: order\nOutput: not the same\n\nInput: Sentence 1: These bonds carry warrants. Sentence 2: She carries her ideas to the extreme. Word: carry\nOutput: not the same" } }, "69": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The application of indexes to tables of data. Sentence 2: The application of maximum thrust. Word: application\nOutput: same\n\nInput: Sentence 1: The thermometer hit 100 degrees. Sentence 2: The movie hits theaters in December. Word: hit\nOutput: same\n\nInput: Sentence 1: The two buildings touch. Sentence 2: Their hands touched. Word: touch\nOutput: same\n\nInput: Sentence 1: They endured a torrent of inquiries. Sentence 2: A torrent of abuse. Word: torrent\nOutput: not the same\n\nInput: Sentence 1: An interesting idea hit her. Sentence 2: He hit a home run. Word: hit\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The application of indexes to tables of data. Sentence 2: The application of maximum thrust. Word: application\nOutput: same\n\nInput: Sentence 1: The thermometer hit 100 degrees. Sentence 2: The movie hits theaters in December. Word: hit\nOutput: same\n\nInput: Sentence 1: The two buildings touch. Sentence 2: Their hands touched. Word: touch\nOutput: same\n\nInput: Sentence 1: They endured a torrent of inquiries. Sentence 2: A torrent of abuse. Word: torrent\nOutput: not the same\n\nInput: Sentence 1: An interesting idea hit her. Sentence 2: He hit a home run. Word: hit\nOutput: not the same" } }, "70": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A sunburnt complexion. Sentence 2: A liberal political complexion. Word: complexion\nOutput: not the same\n\nInput: Sentence 1: He tries to hit on women in bars. Sentence 2: He hit a home run. Word: hit\nOutput: not the same\n\nInput: Sentence 1: We must move quickly. Sentence 2: To move in a matter. Word: move\nOutput: same\n\nInput: Sentence 1: He has a sinister smile. Sentence 2: She had a smile on her face. Word: smile\nOutput: same\n\nInput: Sentence 1: Paul laughed a cheerful laugh. Sentence 2: She laughed her excitement. Word: laugh\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A sunburnt complexion. Sentence 2: A liberal political complexion. Word: complexion\nOutput: not the same\n\nInput: Sentence 1: He tries to hit on women in bars. Sentence 2: He hit a home run. Word: hit\nOutput: not the same\n\nInput: Sentence 1: We must move quickly. Sentence 2: To move in a matter. Word: move\nOutput: same\n\nInput: Sentence 1: He has a sinister smile. Sentence 2: She had a smile on her face. Word: smile\nOutput: same\n\nInput: Sentence 1: Paul laughed a cheerful laugh. Sentence 2: She laughed her excitement. Word: laugh\nOutput: same" } }, "71": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: A trial of progesterone failed to relieve the pain. Sentence 2: A sample for ten days free trial. Word: trial\nOutput: same\n\nInput: Sentence 1: He has a very complicated love life. Sentence 2: He hadn't had any love in months. Word: love\nOutput: same\n\nInput: Sentence 1: Drive a golf ball. Sentence 2: He drives a bread truck. Word: drive\nOutput: not the same\n\nInput: Sentence 1: He was here for a little while. Sentence 2: He lectured for quite a long while. Word: while\nOutput: same\n\nInput: Sentence 1: She could not cut the long days in the office. Sentence 2: His opponent cut upward toward his chin. Word: cut\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: A trial of progesterone failed to relieve the pain. Sentence 2: A sample for ten days free trial. Word: trial\nOutput: same\n\nInput: Sentence 1: He has a very complicated love life. Sentence 2: He hadn't had any love in months. Word: love\nOutput: same\n\nInput: Sentence 1: Drive a golf ball. Sentence 2: He drives a bread truck. Word: drive\nOutput: not the same\n\nInput: Sentence 1: He was here for a little while. Sentence 2: He lectured for quite a long while. Word: while\nOutput: same\n\nInput: Sentence 1: She could not cut the long days in the office. Sentence 2: His opponent cut upward toward his chin. Word: cut\nOutput: not the same" } }, "72": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: We drive the turnpike to work. Sentence 2: Drive the forest. Word: drive\nOutput: not the same\n\nInput: Sentence 1: Set fire to a building. Sentence 2: The moon sets at eight o'clock tonight. Word: set\nOutput: not the same\n\nInput: Sentence 1: Room to pass. Sentence 2: There wasn't that much elbow room in the aircraft. Word: room\nOutput: same\n\nInput: Sentence 1: If I had my way. Sentence 2: Come this way and I'll show you a shortcut. Word: way\nOutput: not the same\n\nInput: Sentence 1: He works for the United States mail service. Sentence 2: The mail handles billions of items every day. Word: mail\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: We drive the turnpike to work. Sentence 2: Drive the forest. Word: drive\nOutput: not the same\n\nInput: Sentence 1: Set fire to a building. Sentence 2: The moon sets at eight o'clock tonight. Word: set\nOutput: not the same\n\nInput: Sentence 1: Room to pass. Sentence 2: There wasn't that much elbow room in the aircraft. Word: room\nOutput: same\n\nInput: Sentence 1: If I had my way. Sentence 2: Come this way and I'll show you a shortcut. Word: way\nOutput: not the same\n\nInput: Sentence 1: He works for the United States mail service. Sentence 2: The mail handles billions of items every day. Word: mail\nOutput: same" } }, "73": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: It just won't make much difference to me. Sentence 2: The difference in her is amazing. Word: difference\nOutput: same\n\nInput: Sentence 1: Use the plastic bags to store the food. Sentence 2: We can use this mathematical formula to solve the problem. Word: use\nOutput: same\n\nInput: Sentence 1: Shoot a movie. Sentence 2: He shot seventeen stills. Word: shoot\nOutput: same\n\nInput: Sentence 1: They attacked the enemy's line. Sentence 2: There is a narrow line between sanity and insanity. Word: line\nOutput: not the same\n\nInput: Sentence 1: Drive the forest. Sentence 2: She drove me to school every day. Word: drive\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: It just won't make much difference to me. Sentence 2: The difference in her is amazing. Word: difference\nOutput: same\n\nInput: Sentence 1: Use the plastic bags to store the food. Sentence 2: We can use this mathematical formula to solve the problem. Word: use\nOutput: same\n\nInput: Sentence 1: Shoot a movie. Sentence 2: He shot seventeen stills. Word: shoot\nOutput: same\n\nInput: Sentence 1: They attacked the enemy's line. Sentence 2: There is a narrow line between sanity and insanity. Word: line\nOutput: not the same\n\nInput: Sentence 1: Drive the forest. Sentence 2: She drove me to school every day. Word: drive\nOutput: not the same" } }, "74": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: He hit a home run. Sentence 2: He hit .300 in the past season. Word: hit\nOutput: same\n\nInput: Sentence 1: The cinema relies on apparent motion. Sentence 2: He made a motion to adjourn. Word: motion\nOutput: not the same\n\nInput: Sentence 1: Suddenly her gigantic power melted into softness for the baby. Sentence 2: He attributes the disappointing results to softness in the economy. Word: softness\nOutput: not the same\n\nInput: Sentence 1: Cut a ticket. Sentence 2: Cut a check. Word: cut\nOutput: same\n\nInput: Sentence 1: He tried to understand their system of classification. Sentence 2: The system consists of a motor and a small computer. Word: system\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: He hit a home run. Sentence 2: He hit .300 in the past season. Word: hit\nOutput: same\n\nInput: Sentence 1: The cinema relies on apparent motion. Sentence 2: He made a motion to adjourn. Word: motion\nOutput: not the same\n\nInput: Sentence 1: Suddenly her gigantic power melted into softness for the baby. Sentence 2: He attributes the disappointing results to softness in the economy. Word: softness\nOutput: not the same\n\nInput: Sentence 1: Cut a ticket. Sentence 2: Cut a check. Word: cut\nOutput: same\n\nInput: Sentence 1: He tried to understand their system of classification. Sentence 2: The system consists of a motor and a small computer. Word: system\nOutput: not the same" } }, "75": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: We do business all over the world. Sentence 2: Computers are now widely used in business. Word: business\nOutput: same\n\nInput: Sentence 1: The king will visit the duke's court. Sentence 2: Pay court to the emperor. Word: court\nOutput: not the same\n\nInput: Sentence 1: Strike a medal. Sentence 2: The teacher struck the child. Word: strike\nOutput: not the same\n\nInput: Sentence 1: Raise a siege. Sentence 2: The President raised several million dollars for his college. Word: raise\nOutput: not the same\n\nInput: Sentence 1: Pick up the tab. Sentence 2: Pick up the burden of high-interest mortgages. Word: pick\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: We do business all over the world. Sentence 2: Computers are now widely used in business. Word: business\nOutput: same\n\nInput: Sentence 1: The king will visit the duke's court. Sentence 2: Pay court to the emperor. Word: court\nOutput: not the same\n\nInput: Sentence 1: Strike a medal. Sentence 2: The teacher struck the child. Word: strike\nOutput: not the same\n\nInput: Sentence 1: Raise a siege. Sentence 2: The President raised several million dollars for his college. Word: raise\nOutput: not the same\n\nInput: Sentence 1: Pick up the tab. Sentence 2: Pick up the burden of high-interest mortgages. Word: pick\nOutput: same" } }, "76": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Take a risk. Sentence 2: I'll take that plate off the table. Word: take\nOutput: not the same\n\nInput: Sentence 1: A high-pitched voice that could shatter glass. Sentence 2: The old oak tree has been shattered by lightning. Word: shatter\nOutput: same\n\nInput: Sentence 1: He works on commission. Sentence 2: A reseller's commission. Word: commission\nOutput: same\n\nInput: Sentence 1: Can you play on this old recorder? Sentence 2: He plays the flute. Word: play\nOutput: same\n\nInput: Sentence 1: The house is in order. Sentence 2: IBM received an order for a hundred computers. Word: order\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Take a risk. Sentence 2: I'll take that plate off the table. Word: take\nOutput: not the same\n\nInput: Sentence 1: A high-pitched voice that could shatter glass. Sentence 2: The old oak tree has been shattered by lightning. Word: shatter\nOutput: same\n\nInput: Sentence 1: He works on commission. Sentence 2: A reseller's commission. Word: commission\nOutput: same\n\nInput: Sentence 1: Can you play on this old recorder? Sentence 2: He plays the flute. Word: play\nOutput: same\n\nInput: Sentence 1: The house is in order. Sentence 2: IBM received an order for a hundred computers. Word: order\nOutput: not the same" } }, "77": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: There was too much for one person to do. Sentence 2: Each person is unique, both mentally and physically. Word: person\nOutput: same\n\nInput: Sentence 1: He was ejected for protesting the call. Sentence 2: After two raises there was a call. Word: call\nOutput: not the same\n\nInput: Sentence 1: Turn a key. Sentence 2: Turn the clay on the wheel. Word: turn\nOutput: not the same\n\nInput: Sentence 1: The whole room was cheering. Sentence 2: The room was on its feet. Word: room\nOutput: same\n\nInput: Sentence 1: He managed to wash out the stains. Sentence 2: Can you wash away the spots on the windows? Word: wash\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: There was too much for one person to do. Sentence 2: Each person is unique, both mentally and physically. Word: person\nOutput: same\n\nInput: Sentence 1: He was ejected for protesting the call. Sentence 2: After two raises there was a call. Word: call\nOutput: not the same\n\nInput: Sentence 1: Turn a key. Sentence 2: Turn the clay on the wheel. Word: turn\nOutput: not the same\n\nInput: Sentence 1: The whole room was cheering. Sentence 2: The room was on its feet. Word: room\nOutput: same\n\nInput: Sentence 1: He managed to wash out the stains. Sentence 2: Can you wash away the spots on the windows? Word: wash\nOutput: same" } }, "78": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Play the stock market. Sentence 2: Play with her feelings. Word: play\nOutput: same\n\nInput: Sentence 1: She could not cut the long days in the office. Sentence 2: His opponent cut upward toward his chin. Word: cut\nOutput: not the same\n\nInput: Sentence 1: The publisher wants to distribute the book in Asia. Sentence 2: Values distribute. Word: distribute\nOutput: not the same\n\nInput: Sentence 1: Play football. Sentence 2: Pele played for the Brazilian teams in many important matches. Word: play\nOutput: same\n\nInput: Sentence 1: The safety of the ship is the captain's concern. Sentence 2: She felt strong concern for those less fortunate. Word: concern\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Play the stock market. Sentence 2: Play with her feelings. Word: play\nOutput: same\n\nInput: Sentence 1: She could not cut the long days in the office. Sentence 2: His opponent cut upward toward his chin. Word: cut\nOutput: not the same\n\nInput: Sentence 1: The publisher wants to distribute the book in Asia. Sentence 2: Values distribute. Word: distribute\nOutput: not the same\n\nInput: Sentence 1: Play football. Sentence 2: Pele played for the Brazilian teams in many important matches. Word: play\nOutput: same\n\nInput: Sentence 1: The safety of the ship is the captain's concern. Sentence 2: She felt strong concern for those less fortunate. Word: concern\nOutput: not the same" } }, "79": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Stuff a pillow with feathers. Sentence 2: My nose is all stuffed. Word: stuff\nOutput: not the same\n\nInput: Sentence 1: Make one's way into the forest. Sentence 2: Make yourself clear. Word: make\nOutput: not the same\n\nInput: Sentence 1: That store offers a variety of products. Sentence 2: That store offers a variety of products. Word: product\nOutput: same\n\nInput: Sentence 1: It is part of the fabric of society. Sentence 2: The fabric of the universe. Word: fabric\nOutput: same\n\nInput: Sentence 1: Set these words in italics. Sentence 2: Set the tray down. Word: set\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Stuff a pillow with feathers. Sentence 2: My nose is all stuffed. Word: stuff\nOutput: not the same\n\nInput: Sentence 1: Make one's way into the forest. Sentence 2: Make yourself clear. Word: make\nOutput: not the same\n\nInput: Sentence 1: That store offers a variety of products. Sentence 2: That store offers a variety of products. Word: product\nOutput: same\n\nInput: Sentence 1: It is part of the fabric of society. Sentence 2: The fabric of the universe. Word: fabric\nOutput: same\n\nInput: Sentence 1: Set these words in italics. Sentence 2: Set the tray down. Word: set\nOutput: not the same" } }, "80": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Fire a bullet. Sentence 2: Fire a gun. Word: fire\nOutput: same\n\nInput: Sentence 1: Appeal to somebody for help. Sentence 2: The idea of a vacation appeals to me. Word: appeal\nOutput: not the same\n\nInput: Sentence 1: Draw parallels. Sentence 2: Draw a conclusion. Word: draw\nOutput: same\n\nInput: Sentence 1: Nothing good will come of this. Sentence 2: His breath came hard. Word: come\nOutput: not the same\n\nInput: Sentence 1: It brought out his better side. Sentence 2: John wrote 15 sides for his essay! Word: side\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Fire a bullet. Sentence 2: Fire a gun. Word: fire\nOutput: same\n\nInput: Sentence 1: Appeal to somebody for help. Sentence 2: The idea of a vacation appeals to me. Word: appeal\nOutput: not the same\n\nInput: Sentence 1: Draw parallels. Sentence 2: Draw a conclusion. Word: draw\nOutput: same\n\nInput: Sentence 1: Nothing good will come of this. Sentence 2: His breath came hard. Word: come\nOutput: not the same\n\nInput: Sentence 1: It brought out his better side. Sentence 2: John wrote 15 sides for his essay! Word: side\nOutput: not the same" } }, "81": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: His display of foulness deserved severe punishment. Sentence 2: Mouths which speak such foulness must be cleansed. Word: foulness\nOutput: same\n\nInput: Sentence 1: It was caused by an improbable concatenation of circumstances. Sentence 2: A complicated concatenation of circumstances. Word: concatenation\nOutput: not the same\n\nInput: Sentence 1: Can you give me lessons? Sentence 2: I gave her my money. Word: give\nOutput: same\n\nInput: Sentence 1: The plains lay just beyond the mountain range. Sentence 2: He dreamed of a home on the range. Word: range\nOutput: not the same\n\nInput: Sentence 1: An emerging professional class. Sentence 2: Flirting is not unknown in college classes. Word: class\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: His display of foulness deserved severe punishment. Sentence 2: Mouths which speak such foulness must be cleansed. Word: foulness\nOutput: same\n\nInput: Sentence 1: It was caused by an improbable concatenation of circumstances. Sentence 2: A complicated concatenation of circumstances. Word: concatenation\nOutput: not the same\n\nInput: Sentence 1: Can you give me lessons? Sentence 2: I gave her my money. Word: give\nOutput: same\n\nInput: Sentence 1: The plains lay just beyond the mountain range. Sentence 2: He dreamed of a home on the range. Word: range\nOutput: not the same\n\nInput: Sentence 1: An emerging professional class. Sentence 2: Flirting is not unknown in college classes. Word: class\nOutput: not the same" } }, "82": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: I apply this rule to get good results. Sentence 2: This thinking was applied to many projects. Word: apply\nOutput: same\n\nInput: Sentence 1: They say he gives good head. Sentence 2: 200 head of cattle and 50 head of horses. Word: head\nOutput: not the same\n\nInput: Sentence 1: Prepare a speech. Sentence 2: The prince was prepared to become King one day. Word: prepare\nOutput: not the same\n\nInput: Sentence 1: Develop a market for the new mobile phone. Sentence 2: Well developed breasts. Word: develop\nOutput: not the same\n\nInput: Sentence 1: These pipes carry waste water into the river. Sentence 2: This train is carrying nuclear waste. Word: carry\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: I apply this rule to get good results. Sentence 2: This thinking was applied to many projects. Word: apply\nOutput: same\n\nInput: Sentence 1: They say he gives good head. Sentence 2: 200 head of cattle and 50 head of horses. Word: head\nOutput: not the same\n\nInput: Sentence 1: Prepare a speech. Sentence 2: The prince was prepared to become King one day. Word: prepare\nOutput: not the same\n\nInput: Sentence 1: Develop a market for the new mobile phone. Sentence 2: Well developed breasts. Word: develop\nOutput: not the same\n\nInput: Sentence 1: These pipes carry waste water into the river. Sentence 2: This train is carrying nuclear waste. Word: carry\nOutput: same" } }, "83": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Nobody can break out -- this prison is high security. Sentence 2: Three inmates broke jail. Word: break\nOutput: same\n\nInput: Sentence 1: Suddenly her gigantic power melted into softness for the baby. Sentence 2: He attributes the disappointing results to softness in the economy. Word: softness\nOutput: not the same\n\nInput: Sentence 1: Think thin. Sentence 2: Think big. Word: think\nOutput: same\n\nInput: Sentence 1: He had a time holding back the tears. Sentence 2: They had a good time together. Word: time\nOutput: same\n\nInput: Sentence 1: I didn't shed many tears when he left me. Sentence 2: Our dog sheds every Spring. Word: shed\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Nobody can break out -- this prison is high security. Sentence 2: Three inmates broke jail. Word: break\nOutput: same\n\nInput: Sentence 1: Suddenly her gigantic power melted into softness for the baby. Sentence 2: He attributes the disappointing results to softness in the economy. Word: softness\nOutput: not the same\n\nInput: Sentence 1: Think thin. Sentence 2: Think big. Word: think\nOutput: same\n\nInput: Sentence 1: He had a time holding back the tears. Sentence 2: They had a good time together. Word: time\nOutput: same\n\nInput: Sentence 1: I didn't shed many tears when he left me. Sentence 2: Our dog sheds every Spring. Word: shed\nOutput: not the same" } }, "84": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: They saw the light of the beacon. Sentence 2: He stopped the car and turned off the lights. Word: light\nOutput: not the same\n\nInput: Sentence 1: A set of golf clubs. Sentence 2: He gave a final set to his hat. Word: set\nOutput: not the same\n\nInput: Sentence 1: A good title to an estate, or an imperfect title. Sentence 2: His title to fame. Word: title\nOutput: not the same\n\nInput: Sentence 1: Ply your wits! Sentence 2: He plied his trade as carpenter for forty-three years. Word: ply\nOutput: same\n\nInput: Sentence 1: The company agrees to meet the cost of any repairs. Sentence 2: Does this paper meet the requirements for the degree? Word: meet\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: They saw the light of the beacon. Sentence 2: He stopped the car and turned off the lights. Word: light\nOutput: not the same\n\nInput: Sentence 1: A set of golf clubs. Sentence 2: He gave a final set to his hat. Word: set\nOutput: not the same\n\nInput: Sentence 1: A good title to an estate, or an imperfect title. Sentence 2: His title to fame. Word: title\nOutput: not the same\n\nInput: Sentence 1: Ply your wits! Sentence 2: He plied his trade as carpenter for forty-three years. Word: ply\nOutput: same\n\nInput: Sentence 1: The company agrees to meet the cost of any repairs. Sentence 2: Does this paper meet the requirements for the degree? Word: meet\nOutput: same" } }, "85": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: How did your interview go? Sentence 2: Do you think the sofa will go through the door? Word: go\nOutput: not the same\n\nInput: Sentence 1: It was his area of specialization. Sentence 2: Areas of interest include ... Word: area\nOutput: same\n\nInput: Sentence 1: Fall into a trap. Sentence 2: They fell out of favor. Word: fall\nOutput: same\n\nInput: Sentence 1: She's got a perfect smile. Sentence 2: She had a smile on her face. Word: smile\nOutput: same\n\nInput: Sentence 1: He was at the top of his form. Sentence 2: To apply for the position, complete the application form. Word: form\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: How did your interview go? Sentence 2: Do you think the sofa will go through the door? Word: go\nOutput: not the same\n\nInput: Sentence 1: It was his area of specialization. Sentence 2: Areas of interest include ... Word: area\nOutput: same\n\nInput: Sentence 1: Fall into a trap. Sentence 2: They fell out of favor. Word: fall\nOutput: same\n\nInput: Sentence 1: She's got a perfect smile. Sentence 2: She had a smile on her face. Word: smile\nOutput: same\n\nInput: Sentence 1: He was at the top of his form. Sentence 2: To apply for the position, complete the application form. Word: form\nOutput: not the same" } }, "86": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The story is false, so far as I can discover. Sentence 2: I discovered what he should do. Word: discover\nOutput: same\n\nInput: Sentence 1: To offset one charge against another. Sentence 2: Offset deposits and withdrawals. Word: offset\nOutput: same\n\nInput: Sentence 1: He was numb with shock. Sentence 2: The old car needed a new set of shocks. Word: shock\nOutput: not the same\n\nInput: Sentence 1: Such odd-shaped items do not pack well. Sentence 2: This singer always packs the concert halls. Word: pack\nOutput: not the same\n\nInput: Sentence 1: If you've time to spare go by air. Sentence 2: I need some fresh air. Word: air\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The story is false, so far as I can discover. Sentence 2: I discovered what he should do. Word: discover\nOutput: same\n\nInput: Sentence 1: To offset one charge against another. Sentence 2: Offset deposits and withdrawals. Word: offset\nOutput: same\n\nInput: Sentence 1: He was numb with shock. Sentence 2: The old car needed a new set of shocks. Word: shock\nOutput: not the same\n\nInput: Sentence 1: Such odd-shaped items do not pack well. Sentence 2: This singer always packs the concert halls. Word: pack\nOutput: not the same\n\nInput: Sentence 1: If you've time to spare go by air. Sentence 2: I need some fresh air. Word: air\nOutput: not the same" } }, "87": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The battalion was a mere skeleton of its former self. Sentence 2: The bare skeleton of a novel. Word: skeleton\nOutput: same\n\nInput: Sentence 1: We must strike the enemy's oil fields. Sentence 2: The Germans struck Poland on Sept. 1, 1939. Word: strike\nOutput: same\n\nInput: Sentence 1: Every man is a fool in some man's opinion. Sentence 2: His opinions appeared frequently on the editorial page. Word: opinion\nOutput: not the same\n\nInput: Sentence 1: The separation of wheat from chaff. Sentence 2: He hid in the separation between walls. Word: separation\nOutput: not the same\n\nInput: Sentence 1: Shape the dough. Sentence 2: Shape a figure. Word: shape\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The battalion was a mere skeleton of its former self. Sentence 2: The bare skeleton of a novel. Word: skeleton\nOutput: same\n\nInput: Sentence 1: We must strike the enemy's oil fields. Sentence 2: The Germans struck Poland on Sept. 1, 1939. Word: strike\nOutput: same\n\nInput: Sentence 1: Every man is a fool in some man's opinion. Sentence 2: His opinions appeared frequently on the editorial page. Word: opinion\nOutput: not the same\n\nInput: Sentence 1: The separation of wheat from chaff. Sentence 2: He hid in the separation between walls. Word: separation\nOutput: not the same\n\nInput: Sentence 1: Shape the dough. Sentence 2: Shape a figure. Word: shape\nOutput: not the same" } }, "88": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: I shall be writing to you soon. Sentence 2: The sky is blue. Word: be\nOutput: same\n\nInput: Sentence 1: The book dealer would not break the set. Sentence 2: Break off the negotiations. Word: break\nOutput: not the same\n\nInput: Sentence 1: The English language. Sentence 2: He recorded the spoken language of the streets. Word: language\nOutput: same\n\nInput: Sentence 1: Loss of blood is an important cause of shock. Sentence 2: Electricians get accustomed to occasional shocks. Word: shock\nOutput: not the same\n\nInput: Sentence 1: Can I charge this purchase? Sentence 2: The suspect was charged with murdering his wife. Word: charge\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: I shall be writing to you soon. Sentence 2: The sky is blue. Word: be\nOutput: same\n\nInput: Sentence 1: The book dealer would not break the set. Sentence 2: Break off the negotiations. Word: break\nOutput: not the same\n\nInput: Sentence 1: The English language. Sentence 2: He recorded the spoken language of the streets. Word: language\nOutput: same\n\nInput: Sentence 1: Loss of blood is an important cause of shock. Sentence 2: Electricians get accustomed to occasional shocks. Word: shock\nOutput: not the same\n\nInput: Sentence 1: Can I charge this purchase? Sentence 2: The suspect was charged with murdering his wife. Word: charge\nOutput: not the same" } }, "89": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: I know the feeling! Sentence 2: Have you ever known hunger? Word: know\nOutput: same\n\nInput: Sentence 1: The check will clear within 2 business days. Sentence 2: Clear the leaves from the lawn. Word: clear\nOutput: not the same\n\nInput: Sentence 1: I do it for the fun of it. Sentence 2: He is fun to have around. Word: fun\nOutput: same\n\nInput: Sentence 1: Take steps. Sentence 2: Take action. Word: take\nOutput: same\n\nInput: Sentence 1: He could not touch the meaning of the poem. Sentence 2: They stood next to each other, their shoulders touching. Word: touch\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: I know the feeling! Sentence 2: Have you ever known hunger? Word: know\nOutput: same\n\nInput: Sentence 1: The check will clear within 2 business days. Sentence 2: Clear the leaves from the lawn. Word: clear\nOutput: not the same\n\nInput: Sentence 1: I do it for the fun of it. Sentence 2: He is fun to have around. Word: fun\nOutput: same\n\nInput: Sentence 1: Take steps. Sentence 2: Take action. Word: take\nOutput: same\n\nInput: Sentence 1: He could not touch the meaning of the poem. Sentence 2: They stood next to each other, their shoulders touching. Word: touch\nOutput: not the same" } }, "90": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The beer had a large head of foam. Sentence 2: The head of the compass needle is pointing due north. Word: head\nOutput: not the same\n\nInput: Sentence 1: Can you connect the two loudspeakers? Sentence 2: Our computers connected. Word: connect\nOutput: same\n\nInput: Sentence 1: Can I give you the children for the weekend? Sentence 2: Give a yelp. Word: give\nOutput: not the same\n\nInput: Sentence 1: A branch of Congress. Sentence 2: He broke off one of the branches. Word: branch\nOutput: not the same\n\nInput: Sentence 1: I will work hard to improve my grades. Sentence 2: John worked with Paul on the task. Word: work\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The beer had a large head of foam. Sentence 2: The head of the compass needle is pointing due north. Word: head\nOutput: not the same\n\nInput: Sentence 1: Can you connect the two loudspeakers? Sentence 2: Our computers connected. Word: connect\nOutput: same\n\nInput: Sentence 1: Can I give you the children for the weekend? Sentence 2: Give a yelp. Word: give\nOutput: not the same\n\nInput: Sentence 1: A branch of Congress. Sentence 2: He broke off one of the branches. Word: branch\nOutput: not the same\n\nInput: Sentence 1: I will work hard to improve my grades. Sentence 2: John worked with Paul on the task. Word: work\nOutput: same" } }, "91": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Vermont will open elk hunting season next week. Sentence 2: This opens up new possibilities. Word: open\nOutput: not the same\n\nInput: Sentence 1: She didn't think to harm me. Sentence 2: We thought to return early that night. Word: think\nOutput: same\n\nInput: Sentence 1: The material lost 2 inches per yard in shrinkage. Sentence 2: Shrinkage is the retail trade's euphemism for shoplifting. Word: shrinkage\nOutput: not the same\n\nInput: Sentence 1: I expected a brief account. Sentence 2: A person of considerable account. Word: account\nOutput: not the same\n\nInput: Sentence 1: What position does he play? Sentence 2: Stop running all over the field and play your position! Word: position\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Vermont will open elk hunting season next week. Sentence 2: This opens up new possibilities. Word: open\nOutput: not the same\n\nInput: Sentence 1: She didn't think to harm me. Sentence 2: We thought to return early that night. Word: think\nOutput: same\n\nInput: Sentence 1: The material lost 2 inches per yard in shrinkage. Sentence 2: Shrinkage is the retail trade's euphemism for shoplifting. Word: shrinkage\nOutput: not the same\n\nInput: Sentence 1: I expected a brief account. Sentence 2: A person of considerable account. Word: account\nOutput: not the same\n\nInput: Sentence 1: What position does he play? Sentence 2: Stop running all over the field and play your position! Word: position\nOutput: same" } }, "92": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Please speak up, the line is very faint. Sentence 2: A dedicated line. Word: line\nOutput: same\n\nInput: Sentence 1: To raise a wall, or a heap of stones. Sentence 2: Raise a family. Word: raise\nOutput: not the same\n\nInput: Sentence 1: He hit the ball to deep center. Sentence 2: His stories made him the center of the party. Word: center\nOutput: not the same\n\nInput: Sentence 1: I carry her image in my mind's eye. Sentence 2: I carry a lot of life insurance. Word: carry\nOutput: same\n\nInput: Sentence 1: General Smith was placed in command. Sentence 2: An admiral in command. Word: command\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Please speak up, the line is very faint. Sentence 2: A dedicated line. Word: line\nOutput: same\n\nInput: Sentence 1: To raise a wall, or a heap of stones. Sentence 2: Raise a family. Word: raise\nOutput: not the same\n\nInput: Sentence 1: He hit the ball to deep center. Sentence 2: His stories made him the center of the party. Word: center\nOutput: not the same\n\nInput: Sentence 1: I carry her image in my mind's eye. Sentence 2: I carry a lot of life insurance. Word: carry\nOutput: same\n\nInput: Sentence 1: General Smith was placed in command. Sentence 2: An admiral in command. Word: command\nOutput: same" } }, "93": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: To snap a fastener. Sentence 2: Snap your fingers. Word: snap\nOutput: same\n\nInput: Sentence 1: The flock of birds took to the air. Sentence 2: A smell of chemicals in the air. Word: air\nOutput: same\n\nInput: Sentence 1: A ball of mud caught him on the shoulder. Sentence 2: The children were playing ball in the garden. Word: ball\nOutput: not the same\n\nInput: Sentence 1: Bob Dylan occupied the top slot for several weeks. Sentence 2: He put a quarter in the slot. Word: slot\nOutput: not the same\n\nInput: Sentence 1: How many cars does she have? Sentence 2: The dog down the street has a lax owner. Word: have\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: To snap a fastener. Sentence 2: Snap your fingers. Word: snap\nOutput: same\n\nInput: Sentence 1: The flock of birds took to the air. Sentence 2: A smell of chemicals in the air. Word: air\nOutput: same\n\nInput: Sentence 1: A ball of mud caught him on the shoulder. Sentence 2: The children were playing ball in the garden. Word: ball\nOutput: not the same\n\nInput: Sentence 1: Bob Dylan occupied the top slot for several weeks. Sentence 2: He put a quarter in the slot. Word: slot\nOutput: not the same\n\nInput: Sentence 1: How many cars does she have? Sentence 2: The dog down the street has a lax owner. Word: have\nOutput: same" } }, "94": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Pay a call. Sentence 2: You'll pay for this! Word: pay\nOutput: not the same\n\nInput: Sentence 1: Turn on the spot. Sentence 2: He turned traitor. Word: turn\nOutput: not the same\n\nInput: Sentence 1: Normalize relations with China. Sentence 2: Normalize the spelling. Word: normalize\nOutput: same\n\nInput: Sentence 1: Snap your fingers. Sentence 2: When her baby died, she snapped. Word: snap\nOutput: not the same\n\nInput: Sentence 1: She hates me, that's about the size of it. Sentence 2: That's the size of the situation. Word: size\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Pay a call. Sentence 2: You'll pay for this! Word: pay\nOutput: not the same\n\nInput: Sentence 1: Turn on the spot. Sentence 2: He turned traitor. Word: turn\nOutput: not the same\n\nInput: Sentence 1: Normalize relations with China. Sentence 2: Normalize the spelling. Word: normalize\nOutput: same\n\nInput: Sentence 1: Snap your fingers. Sentence 2: When her baby died, she snapped. Word: snap\nOutput: not the same\n\nInput: Sentence 1: She hates me, that's about the size of it. Sentence 2: That's the size of the situation. Word: size\nOutput: same" } }, "95": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: It was a nice piece of work. Sentence 2: He needed a piece of granite. Word: piece\nOutput: not the same\n\nInput: Sentence 1: I carry her image in my mind's eye. Sentence 2: I carry these thoughts in the back of my head. Word: carry\nOutput: same\n\nInput: Sentence 1: This trombone is very expensive. Sentence 2: Jim plays the trombone very well. Word: trombone\nOutput: same\n\nInput: Sentence 1: We'll get them! Sentence 2: Did you get it? Word: get\nOutput: not the same\n\nInput: Sentence 1: This diamond comes from a mine in South Africa. Sentence 2: Most coal and ore comes from open-pit mines nowadays. Word: mine\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: It was a nice piece of work. Sentence 2: He needed a piece of granite. Word: piece\nOutput: not the same\n\nInput: Sentence 1: I carry her image in my mind's eye. Sentence 2: I carry these thoughts in the back of my head. Word: carry\nOutput: same\n\nInput: Sentence 1: This trombone is very expensive. Sentence 2: Jim plays the trombone very well. Word: trombone\nOutput: same\n\nInput: Sentence 1: We'll get them! Sentence 2: Did you get it? Word: get\nOutput: not the same\n\nInput: Sentence 1: This diamond comes from a mine in South Africa. Sentence 2: Most coal and ore comes from open-pit mines nowadays. Word: mine\nOutput: same" } }, "96": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Normalize the spelling. Sentence 2: Normalize the temperature. Word: normalize\nOutput: same\n\nInput: Sentence 1: The strength of the company's stock in recent weeks. Sentence 2: Fatigue sapped his strength. Word: strength\nOutput: not the same\n\nInput: Sentence 1: Hold one's nose. Sentence 2: I hold with those who say life is sacred. Word: hold\nOutput: not the same\n\nInput: Sentence 1: The lyric in line 3 doesn't rhyme. Sentence 2: The lyrics were written by the composer. Word: lyric\nOutput: same\n\nInput: Sentence 1: Operator, could you connect me to the Raffles in Singapore? Sentence 2: These computers connected well. Word: connect\nOutput: not the same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Normalize the spelling. Sentence 2: Normalize the temperature. Word: normalize\nOutput: same\n\nInput: Sentence 1: The strength of the company's stock in recent weeks. Sentence 2: Fatigue sapped his strength. Word: strength\nOutput: not the same\n\nInput: Sentence 1: Hold one's nose. Sentence 2: I hold with those who say life is sacred. Word: hold\nOutput: not the same\n\nInput: Sentence 1: The lyric in line 3 doesn't rhyme. Sentence 2: The lyrics were written by the composer. Word: lyric\nOutput: same\n\nInput: Sentence 1: Operator, could you connect me to the Raffles in Singapore? Sentence 2: These computers connected well. Word: connect\nOutput: not the same" } }, "97": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Beg money and food. Sentence 2: Beg the point in the discussion. Word: beg\nOutput: not the same\n\nInput: Sentence 1: I will work hard to improve my grades. Sentence 2: They worked at finishing the task. Word: work\nOutput: same\n\nInput: Sentence 1: We take all major credit cards. Sentence 2: We took a pay cut. Word: take\nOutput: same\n\nInput: Sentence 1: His parting shot was 'drop dead'. Sentence 2: I caught him with a solid shot to the chin. Word: shot\nOutput: not the same\n\nInput: Sentence 1: Picasso's blue period. Sentence 2: A time period of 30 years. Word: period\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Beg money and food. Sentence 2: Beg the point in the discussion. Word: beg\nOutput: not the same\n\nInput: Sentence 1: I will work hard to improve my grades. Sentence 2: They worked at finishing the task. Word: work\nOutput: same\n\nInput: Sentence 1: We take all major credit cards. Sentence 2: We took a pay cut. Word: take\nOutput: same\n\nInput: Sentence 1: His parting shot was 'drop dead'. Sentence 2: I caught him with a solid shot to the chin. Word: shot\nOutput: not the same\n\nInput: Sentence 1: Picasso's blue period. Sentence 2: A time period of 30 years. Word: period\nOutput: same" } }, "98": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: I will work hard to improve my grades. Sentence 2: He's working in a bar. Word: work\nOutput: same\n\nInput: Sentence 1: Raise a sad cry. Sentence 2: Raised edges. Word: raise\nOutput: not the same\n\nInput: Sentence 1: You should consult the dictionary. Sentence 2: Men forgot, or feared, to consult. Word: consult\nOutput: same\n\nInput: Sentence 1: I want to go home now. Sentence 2: This piano wants the attention of a competent tuner. Word: want\nOutput: not the same\n\nInput: Sentence 1: Those clouds show little sign of raining soon. Sentence 2: He showed signs of strain. Word: sign\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: I will work hard to improve my grades. Sentence 2: He's working in a bar. Word: work\nOutput: same\n\nInput: Sentence 1: Raise a sad cry. Sentence 2: Raised edges. Word: raise\nOutput: not the same\n\nInput: Sentence 1: You should consult the dictionary. Sentence 2: Men forgot, or feared, to consult. Word: consult\nOutput: same\n\nInput: Sentence 1: I want to go home now. Sentence 2: This piano wants the attention of a competent tuner. Word: want\nOutput: not the same\n\nInput: Sentence 1: Those clouds show little sign of raining soon. Sentence 2: He showed signs of strain. Word: sign\nOutput: same" } }, "99": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: Defense against hurricanes is an urgent problem. Sentence 2: He joined the defense against invasion. Word: defense\nOutput: not the same\n\nInput: Sentence 1: She used a different color for the trim. Sentence 2: Each flavor of quarks comes in three colors. Word: color\nOutput: not the same\n\nInput: Sentence 1: It can be tricky to land a helicopter. Sentence 2: This may land you in jail. Word: land\nOutput: same\n\nInput: Sentence 1: This mushrooms can poison. Sentence 2: Poison someone's mind. Word: poison\nOutput: not the same\n\nInput: Sentence 1: We carry a very large mortgage. Sentence 2: How many credits is this student carrying? Word: carry\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: Defense against hurricanes is an urgent problem. Sentence 2: He joined the defense against invasion. Word: defense\nOutput: not the same\n\nInput: Sentence 1: She used a different color for the trim. Sentence 2: Each flavor of quarks comes in three colors. Word: color\nOutput: not the same\n\nInput: Sentence 1: It can be tricky to land a helicopter. Sentence 2: This may land you in jail. Word: land\nOutput: same\n\nInput: Sentence 1: This mushrooms can poison. Sentence 2: Poison someone's mind. Word: poison\nOutput: not the same\n\nInput: Sentence 1: We carry a very large mortgage. Sentence 2: How many credits is this student carrying? Word: carry\nOutput: same" } }, "100": { "input": "I gave a friend an instruction and five inputs. The friend read the instruction and wrote an output for every one of the inputs.\nHere are the input-output pairs:\n\nInput: Sentence 1: The range and variety of his work is amazing. Sentence 2: Varieties are frequently recognized in botany. Word: variety\nOutput: not the same\n\nInput: Sentence 1: He gave a howl of pain. Sentence 2: Howls of laughter. Word: howl\nOutput: same\n\nInput: Sentence 1: Pound the roots with a heavy flat stone. Sentence 2: The salesman pounded the door knocker. Word: pound\nOutput: not the same\n\nInput: Sentence 1: This led to an unfortunate chain of events. Sentence 2: The chain of command. Word: chain\nOutput: same\n\nInput: Sentence 1: We had to cut short the conversation. Sentence 2: Cut the noise. Word: cut\nOutput: same\n\nThe instruction was", "metadata": { "examples_seen": "Input: Sentence 1: The range and variety of his work is amazing. Sentence 2: Varieties are frequently recognized in botany. Word: variety\nOutput: not the same\n\nInput: Sentence 1: He gave a howl of pain. Sentence 2: Howls of laughter. Word: howl\nOutput: same\n\nInput: Sentence 1: Pound the roots with a heavy flat stone. Sentence 2: The salesman pounded the door knocker. Word: pound\nOutput: not the same\n\nInput: Sentence 1: This led to an unfortunate chain of events. Sentence 2: The chain of command. Word: chain\nOutput: same\n\nInput: Sentence 1: We had to cut short the conversation. Sentence 2: Cut the noise. Word: cut\nOutput: same" } } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/load_data.py ================================================ import os import json import random induce_data_path = os.path.join(os.path.dirname(__file__), 'raw/induce/') eval_data_path = os.path.join(os.path.dirname(__file__), 'raw/execute/') # Get a list of tasks (by looking at the names of the files in the induced directory) tasks = [f.split('.')[0] for f in os.listdir(induce_data_path)] def load_data(type, task): base_path = induce_data_path if type == 'induce' else eval_data_path path = base_path + task + '.json' with open(path, 'r') as f: data = json.load(f) examples = data['examples'] num_examples = len(examples) inputs, outputs = [], [] for i in range(num_examples): data = examples[str(i + 1)] if task == 'cause_and_effect': cause, effect = data['cause'], data['effect'] # Pick an order randomly if random.random() < 0.5: input_ = f'Sentence 1: {cause} Sentence 2: {effect}' else: input_ = f'Sentence 1: {effect} Sentence 2: {cause}' output_ = [cause] elif task == 'common_concept': items = data['items'] # Make comma separated list of items input_ = ', '.join(items[:-1]) output_ = data['all_common_concepts'] elif task == 'rhymes': input_, output_ = data['input'], data['other_rhymes'] elif 'translation' in task: input_, output_ = data['input'], data['possible_translations'] else: input_, output_ = data['input'], [data['output']] inputs.append(input_) outputs.append(output_) return inputs, outputs ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/execute/active_to_passive.json ================================================ { "metadata": { "num_examples": 100 }, "examples": { "1": { "input": "The professor mentioned the artist.", "output": "The artist was mentioned by the professor.", "template": "temp35" }, "2": { "input": "The presidents recommended the lawyer.", "output": "The lawyer was recommended by the presidents.", "template": "temp35" }, "3": { "input": "The professors thanked the tourists.", "output": "The tourists were thanked by the professors.", "template": "temp36" }, "4": { "input": "The scientist contacted the judge.", "output": "The judge was contacted by the scientist.", "template": "temp35" }, "5": { "input": "The doctor stopped the managers.", "output": "The managers were stopped by the doctor.", "template": "temp36" }, "6": { "input": "The author stopped the senator.", "output": "The senator was stopped by the author.", "template": "temp35" }, "7": { "input": "The authors mentioned the lawyer.", "output": "The lawyer was mentioned by the authors.", "template": "temp35" }, "8": { "input": "The actor believed the senators.", "output": "The senators were believed by the actor.", "template": "temp36" }, "9": { "input": "The judges contacted the athletes.", "output": "The athletes were contacted by the judges.", "template": "temp36" }, "10": { "input": "The judges helped the professor.", "output": "The professor was helped by the judges.", "template": "temp35" }, "11": { "input": "The authors supported the scientist.", "output": "The scientist was supported by the authors.", "template": "temp35" }, "12": { "input": "The judges avoided the students.", "output": "The students were avoided by the judges.", "template": "temp36" }, "13": { "input": "The banker advised the tourists.", "output": "The tourists were advised by the banker.", "template": "temp36" }, "14": { "input": "The presidents introduced the authors.", "output": "The authors were introduced by the presidents.", "template": "temp36" }, "15": { "input": "The senator introduced the bankers.", "output": "The bankers were introduced by the senator.", "template": "temp36" }, "16": { "input": "The doctors admired the student.", "output": "The student was admired by the doctors.", "template": "temp35" }, "17": { "input": "The artists introduced the manager.", "output": "The manager was introduced by the artists.", "template": "temp35" }, "18": { "input": "The student supported the tourist.", "output": "The tourist was supported by the student.", "template": "temp35" }, "19": { "input": "The professors stopped the senators.", "output": "The senators were stopped by the professors.", "template": "temp36" }, "20": { "input": "The judges mentioned the professor.", "output": "The professor was mentioned by the judges.", "template": "temp35" }, "21": { "input": "The bankers avoided the lawyer.", "output": "The lawyer was avoided by the bankers.", "template": "temp35" }, "22": { "input": "The tourist admired the authors.", "output": "The authors were admired by the tourist.", "template": "temp36" }, "23": { "input": "The actor stopped the senator.", "output": "The senator was stopped by the actor.", "template": "temp35" }, "24": { "input": "The senators recommended the artists.", "output": "The artists were recommended by the senators.", "template": "temp36" }, "25": { "input": "The tourists advised the president.", "output": "The president was advised by the tourists.", "template": "temp35" }, "26": { "input": "The actor recognized the manager.", "output": "The manager was recognized by the actor.", "template": "temp35" }, "27": { "input": "The authors contacted the doctors.", "output": "The doctors were contacted by the authors.", "template": "temp36" }, "28": { "input": "The tourists recommended the artists.", "output": "The artists were recommended by the tourists.", "template": "temp36" }, "29": { "input": "The bankers contacted the senators.", "output": "The senators were contacted by the bankers.", "template": "temp36" }, "30": { "input": "The artist admired the managers.", "output": "The managers were admired by the artist.", "template": "temp36" }, "31": { "input": "The senator mentioned the doctor.", "output": "The doctor was mentioned by the senator.", "template": "temp35" }, "32": { "input": "The president admired the managers.", "output": "The managers were admired by the president.", "template": "temp36" }, "33": { "input": "The scientists recommended the tourists.", "output": "The tourists were recommended by the scientists.", "template": "temp36" }, "34": { "input": "The authors stopped the manager.", "output": "The manager was stopped by the authors.", "template": "temp35" }, "35": { "input": "The actor recognized the professor.", "output": "The professor was recognized by the actor.", "template": "temp35" }, "36": { "input": "The judge avoided the banker.", "output": "The banker was avoided by the judge.", "template": "temp35" }, "37": { "input": "The tourists admired the judges.", "output": "The judges were admired by the tourists.", "template": "temp36" }, "38": { "input": "The athlete encouraged the scientists.", "output": "The scientists were encouraged by the athlete.", "template": "temp36" }, "39": { "input": "The manager believed the athletes.", "output": "The athletes were believed by the manager.", "template": "temp36" }, "40": { "input": "The senators admired the lawyers.", "output": "The lawyers were admired by the senators.", "template": "temp36" }, "41": { "input": "The senators mentioned the professors.", "output": "The professors were mentioned by the senators.", "template": "temp36" }, "42": { "input": "The manager believed the presidents.", "output": "The presidents were believed by the manager.", "template": "temp36" }, "43": { "input": "The students recommended the banker.", "output": "The banker was recommended by the students.", "template": "temp35" }, "44": { "input": "The judges supported the manager.", "output": "The manager was supported by the judges.", "template": "temp35" }, "45": { "input": "The athlete thanked the author.", "output": "The author was thanked by the athlete.", "template": "temp35" }, "46": { "input": "The tourist encouraged the managers.", "output": "The managers were encouraged by the tourist.", "template": "temp36" }, "47": { "input": "The banker advised the students.", "output": "The students were advised by the banker.", "template": "temp36" }, "48": { "input": "The managers stopped the student.", "output": "The student was stopped by the managers.", "template": "temp35" }, "49": { "input": "The students advised the tourists.", "output": "The tourists were advised by the students.", "template": "temp36" }, "50": { "input": "The secretary recommended the tourists.", "output": "The tourists were recommended by the secretary.", "template": "temp36" }, "51": { "input": "The president thanked the manager.", "output": "The manager was thanked by the president.", "template": "temp35" }, "52": { "input": "The actor recognized the senators.", "output": "The senators were recognized by the actor.", "template": "temp36" }, "53": { "input": "The presidents introduced the scientist.", "output": "The scientist was introduced by the presidents.", "template": "temp35" }, "54": { "input": "The secretaries recommended the students.", "output": "The students were recommended by the secretaries.", "template": "temp36" }, "55": { "input": "The presidents thanked the lawyers.", "output": "The lawyers were thanked by the presidents.", "template": "temp36" }, "56": { "input": "The secretaries believed the student.", "output": "The student was believed by the secretaries.", "template": "temp35" }, "57": { "input": "The artists recognized the author.", "output": "The author was recognized by the artists.", "template": "temp35" }, "58": { "input": "The athlete avoided the bankers.", "output": "The bankers were avoided by the athlete.", "template": "temp36" }, "59": { "input": "The artists admired the doctor.", "output": "The doctor was admired by the artists.", "template": "temp35" }, "60": { "input": "The student recommended the authors.", "output": "The authors were recommended by the student.", "template": "temp36" }, "61": { "input": "The athletes believed the authors.", "output": "The authors were believed by the athletes.", "template": "temp36" }, "62": { "input": "The scientist admired the tourist.", "output": "The tourist was admired by the scientist.", "template": "temp35" }, "63": { "input": "The presidents avoided the scientist.", "output": "The scientist was avoided by the presidents.", "template": "temp35" }, "64": { "input": "The professor mentioned the scientist.", "output": "The scientist was mentioned by the professor.", "template": "temp35" }, "65": { "input": "The doctor thanked the actors.", "output": "The actors were thanked by the doctor.", "template": "temp36" }, "66": { "input": "The doctor thanked the banker.", "output": "The banker was thanked by the doctor.", "template": "temp35" }, "67": { "input": "The senator recommended the athletes.", "output": "The athletes were recommended by the senator.", "template": "temp36" }, "68": { "input": "The athletes stopped the student.", "output": "The student was stopped by the athletes.", "template": "temp35" }, "69": { "input": "The student supported the professor.", "output": "The professor was supported by the student.", "template": "temp35" }, "70": { "input": "The manager advised the professors.", "output": "The professors were advised by the manager.", "template": "temp36" }, "71": { "input": "The doctor mentioned the tourist.", "output": "The tourist was mentioned by the doctor.", "template": "temp35" }, "72": { "input": "The senator contacted the judge.", "output": "The judge was contacted by the senator.", "template": "temp35" }, "73": { "input": "The lawyer recognized the judge.", "output": "The judge was recognized by the lawyer.", "template": "temp35" }, "74": { "input": "The tourists helped the manager.", "output": "The manager was helped by the tourists.", "template": "temp35" }, "75": { "input": "The athlete stopped the president.", "output": "The president was stopped by the athlete.", "template": "temp35" }, "76": { "input": "The athlete mentioned the scientists.", "output": "The scientists were mentioned by the athlete.", "template": "temp36" }, "77": { "input": "The tourists introduced the doctors.", "output": "The doctors were introduced by the tourists.", "template": "temp36" }, "78": { "input": "The manager mentioned the president.", "output": "The president was mentioned by the manager.", "template": "temp35" }, "79": { "input": "The lawyers stopped the manager.", "output": "The manager was stopped by the lawyers.", "template": "temp35" }, "80": { "input": "The lawyers recommended the authors.", "output": "The authors were recommended by the lawyers.", "template": "temp36" }, "81": { "input": "The secretary contacted the athletes.", "output": "The athletes were contacted by the secretary.", "template": "temp36" }, "82": { "input": "The manager avoided the scientists.", "output": "The scientists were avoided by the manager.", "template": "temp36" }, "83": { "input": "The president mentioned the secretaries.", "output": "The secretaries were mentioned by the president.", "template": "temp36" }, "84": { "input": "The senators stopped the professor.", "output": "The professor was stopped by the senators.", "template": "temp35" }, "85": { "input": "The professors avoided the artists.", "output": "The artists were avoided by the professors.", "template": "temp36" }, "86": { "input": "The professors thanked the lawyers.", "output": "The lawyers were thanked by the professors.", "template": "temp36" }, "87": { "input": "The tourist supported the secretaries.", "output": "The secretaries were supported by the tourist.", "template": "temp36" }, "88": { "input": "The senators introduced the artist.", "output": "The artist was introduced by the senators.", "template": "temp35" }, "89": { "input": "The senator avoided the judges.", "output": "The judges were avoided by the senator.", "template": "temp36" }, "90": { "input": "The student helped the president.", "output": "The president was helped by the student.", "template": "temp35" }, "91": { "input": "The manager believed the doctors.", "output": "The doctors were believed by the manager.", "template": "temp36" }, "92": { "input": "The actor recommended the artists.", "output": "The artists were recommended by the actor.", "template": "temp36" }, "93": { "input": "The tourist recommended the senator.", "output": "The senator was recommended by the tourist.", "template": "temp35" }, "94": { "input": "The student recommended the athletes.", "output": "The athletes were recommended by the student.", "template": "temp36" }, "95": { "input": "The judge contacted the managers.", "output": "The managers were contacted by the judge.", "template": "temp36" }, "96": { "input": "The banker recognized the tourists.", "output": "The tourists were recognized by the banker.", "template": "temp36" }, "97": { "input": "The tourist recommended the manager.", "output": "The manager was recommended by the tourist.", "template": "temp35" }, "98": { "input": "The tourist thanked the professors.", "output": "The professors were thanked by the tourist.", "template": "temp36" }, "99": { "input": "The president contacted the athletes.", "output": "The athletes were contacted by the president.", "template": "temp36" }, "100": { "input": "The doctors recognized the athletes.", "output": "The athletes were recognized by the doctors.", "template": "temp36" } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/execute/antonyms.json ================================================ { "metadata": { "num_examples": 100 }, "examples": { "1": { "input": "fortunate", "output": "unfortunate" }, "2": { "input": "express", "output": "local" }, "3": { "input": "real", "output": "nominal" }, "4": { "input": "urban", "output": "rural" }, "5": { "input": "natural", "output": "flat" }, "6": { "input": "strength", "output": "weakness" }, "7": { "input": "unmask", "output": "mask" }, "8": { "input": "legitimate", "output": "illegitimate" }, "9": { "input": "sanity", "output": "insanity" }, "10": { "input": "plucked", "output": "bowed" }, "11": { "input": "provocative", "output": "unprovocative" }, "12": { "input": "imperishable", "output": "perishable" }, "13": { "input": "illegible", "output": "legible" }, "14": { "input": "logical", "output": "illogical" }, "15": { "input": "inclined", "output": "vertical" }, "16": { "input": "uncompromising", "output": "compromising" }, "17": { "input": "synergistic", "output": "antagonistic" }, "18": { "input": "dishonest", "output": "honest" }, "19": { "input": "noncommissioned", "output": "commissioned" }, "20": { "input": "clergy", "output": "laity" }, "21": { "input": "nonspeaking", "output": "speaking" }, "22": { "input": "unworthy", "output": "worthy" }, "23": { "input": "divergence", "output": "convergence" }, "24": { "input": "unnaturally", "output": "naturally" }, "25": { "input": "affirm", "output": "negate" }, "26": { "input": "unmitigated", "output": "mitigated" }, "27": { "input": "import", "output": "export" }, "28": { "input": "indecisive", "output": "decisive" }, "29": { "input": "atypical", "output": "typical" }, "30": { "input": "nominative", "output": "oblique" }, "31": { "input": "unmodified", "output": "modified" }, "32": { "input": "approve", "output": "disapprove" }, "33": { "input": "stay", "output": "change" }, "34": { "input": "perceptibly", "output": "imperceptibly" }, "35": { "input": "successful", "output": "unsuccessful" }, "36": { "input": "assisted", "output": "unassisted" }, "37": { "input": "enabling", "output": "disabling" }, "38": { "input": "infectious", "output": "noninfectious" }, "39": { "input": "reasonable", "output": "unreasonable" }, "40": { "input": "irreverence", "output": "reverence" }, "41": { "input": "empirical", "output": "theoretical" }, "42": { "input": "immodest", "output": "modest" }, "43": { "input": "impatience", "output": "patience" }, "44": { "input": "unattached", "output": "attached" }, "45": { "input": "incommensurate", "output": "commensurate" }, "46": { "input": "female", "output": "male" }, "47": { "input": "falsity", "output": "truth" }, "48": { "input": "dissimilar", "output": "similar" }, "49": { "input": "disincentive", "output": "incentive" }, "50": { "input": "curable", "output": "incurable" }, "51": { "input": "hawk", "output": "dove" }, "52": { "input": "guided", "output": "unguided" }, "53": { "input": "animate", "output": "inanimate" }, "54": { "input": "unchristian", "output": "christian" }, "55": { "input": "elitist", "output": "egalitarian" }, "56": { "input": "credulous", "output": "incredulous" }, "57": { "input": "misconception", "output": "conception" }, "58": { "input": "uncongenial", "output": "congenial" }, "59": { "input": "glad", "output": "sad" }, "60": { "input": "suspected", "output": "unsuspected" }, "61": { "input": "narrow", "output": "wide" }, "62": { "input": "acceleration", "output": "deceleration" }, "63": { "input": "flexion", "output": "extension" }, "64": { "input": "benign", "output": "malignant" }, "65": { "input": "attach", "output": "detach" }, "66": { "input": "unlock", "output": "lock" }, "67": { "input": "concerned", "output": "unconcerned" }, "68": { "input": "highland", "output": "lowland" }, "69": { "input": "enclosed", "output": "unenclosed" }, "70": { "input": "disobedient", "output": "obedient" }, "71": { "input": "invalidate", "output": "validate" }, "72": { "input": "nondeductible", "output": "deductible" }, "73": { "input": "married", "output": "unmarried" }, "74": { "input": "displease", "output": "please" }, "75": { "input": "elation", "output": "depression" }, "76": { "input": "noncompliance", "output": "compliance" }, "77": { "input": "descendant", "output": "ancestor" }, "78": { "input": "anode", "output": "cathode" }, "79": { "input": "immature", "output": "mature" }, "80": { "input": "recede", "output": "advance" }, "81": { "input": "unburden", "output": "burden" }, "82": { "input": "wellness", "output": "illness" }, "83": { "input": "alternate", "output": "opposite" }, "84": { "input": "unextended", "output": "extended" }, "85": { "input": "fairness", "output": "unfairness" }, "86": { "input": "surprised", "output": "unsurprised" }, "87": { "input": "inconsistency", "output": "consistency" }, "88": { "input": "dorsal", "output": "ventral" }, "89": { "input": "deciduous", "output": "evergreen" }, "90": { "input": "enter", "output": "exit" }, "91": { "input": "ignoble", "output": "noble" }, "92": { "input": "fauna", "output": "flora" }, "93": { "input": "above", "output": "below" }, "94": { "input": "agreement", "output": "disagreement" }, "95": { "input": "uninspiring", "output": "inspiring" }, "96": { "input": "privileged", "output": "underprivileged" }, "97": { "input": "unveiled", "output": "veiled" }, "98": { "input": "tail", "output": "head" }, "99": { "input": "improperly", "output": "properly" }, "100": { "input": "darkness", "output": "lightness" } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/execute/auto_categorization.json ================================================ { "metadata": { "num_examples": 100 }, "examples": { "1": { "input": "Shaymin, Chatot, and Reshiram", "output": "pokeman" }, "2": { "input": "Delta Force Black Hawk Down, Spartans Vs Zombies Defense, and Devil's Workshop", "output": "games on Steam" }, "3": { "input": "Sudan, Somaliland, and Madagascar", "output": "African countries" }, "4": { "input": "Washing machines, air conditioners, refrigerators", "output": "electric appliances" }, "5": { "input": "tantalum, lithium, and manganese", "output": "chemical elements with high density" }, "6": { "input": "Uinta Chipmunk, Dwarf Crocodile, and Black Rhinoceros", "output": "animals" }, "7": { "input": " Theodore Roosevelt, Benjamin Harrison, and Martin Van Buren", "output": "presidents of the U.S" }, "8": { "input": "yellow, blue, green", "output": "colors" }, "9": { "input": "Asuka period, Taish\u014d period, and Muromachi period ", "output": "periods of Japanese history" }, "10": { "input": " The Fiscal Times via Yahoo! New Zealand Finance, ITProPortal, and PR Newswire via Yahoo! Finance", "output": "the media" }, "11": { "input": " Nara period, Azuchi-Momoyama period, and Kamakura period", "output": "periods of Japanese history" }, "12": { "input": "US-MEXICAN WAR, WAR OF AUSTRIA WITH FRANCE AND PIEDMONT, and SECOND ENGLISH CIVIL WAR", "output": "historical wars" }, "13": { "input": "californium, uranium, and tin", "output": "chemical elements with high density" }, "14": { "input": "Kingdom Wars, LUDWIG, and Nancy Drew Warnings at Waverly Academy ", "output": "games on Steam" }, "15": { "input": "William Howard Taft, Andrew Jackson, and Gerald Ford ", "output": "presidents of the U.S" }, "16": { "input": "Heron's formula, Rogers\u2013Ramanujan identities, and Dvoretzky\u2013Kiefer\u2013Wolfowitz inequality", "output": "math theorems" }, "17": { "input": "ValueWalk, Queensland Country Life, and The Fresno Be ", "output": "the media" }, "18": { "input": "Wrike, SEMrush, and Sprinklr", "output": "tech companies" }, "19": { "input": " boyfriend (with Social House), Ransom, and Loco Contigo", "output": "popular songs" }, "20": { "input": "WebPT, Jumio, and Atlassian", "output": "tech companies" }, "21": { "input": "African Spurred Tortoise, Humboldt Penguin, and Cheetah", "output": "animals" }, "22": { "input": "Lima, Pyongyang, and Dublin", "output": "capital cities" }, "23": { "input": "Reading, running, and cooking", "output": "hobbies" }, "24": { "input": "Morocco, Ghana, and Chad ", "output": "African countries" }, "25": { "input": " Pierre-Auguste Renoir, Pieter Bruegel, and Edouard Manet ", "output": "artists" }, "26": { "input": "BMX, Baseball, and Rackets ", "output": "sports" }, "27": { "input": " Heian period, Kenmu Restoration, and Kofun period ", "output": "periods of Japanese history" }, "28": { "input": "Archery, Boxing, and Lacrosse ", "output": "sports" }, "29": { "input": " Greek Tortoise, Pacific White-Sided Dolphin, and American Bison ", "output": "animals" }, "30": { "input": "Semnani, Kamarian, and Bongo ", "output": "extinct languages" }, "31": { "input": "Christianity, Protestant, and Hindu ", "output": "religions" }, "32": { "input": " Egypt, Republic of the Congo, and Guinea ", "output": "African countries" }, "33": { "input": "fart, rotten eggs, skunks all", "output": "smells bad" }, "34": { "input": " Wolf, European Hare, and Meerkat ", "output": "animals" }, "35": { "input": " Kobo eReader, Onyx Boox, and Cybook Opus ", "output": "E-Readers that support the mobipocket file format" }, "36": { "input": "bad guy , Someone You Loved, and Lalala ", "output": "popular songs" }, "37": { "input": "mainland Australia, Africa, and Asia ", "output": "continents" }, "38": { "input": " Bridgetown, Libreville, and Castries ", "output": "capital cities" }, "39": { "input": "Central African Republic, Cape Verde, and Somalia ", "output": "African countries" }, "40": { "input": "Cars, airplanes, and subway are means of", "output": "transportation" }, "41": { "input": "Bra, Nightdress, and Shirts ", "output": "Apparel" }, "42": { "input": " Jainism, Atheist, and Mormon ", "output": "religions" }, "43": { "input": "James Buchanan, Barack Obama, and John Quincy Adams ", "output": "presidents of the U.S" }, "44": { "input": "Old Man's War, On Basilisk Station, and I, Robot ", "output": "science fiction books" }, "45": { "input": "Nature Reviews Immunology, New England Journal of Medicine, and Energy and Environmental Science ", "output": "top journals" }, "46": { "input": " Pablo Picasso, Gustav Klimt, and Diego Velazquez ", "output": "artists" }, "47": { "input": "Thomas Jefferson, Lyndon B. 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Kennedy ", "output": "presidents of the U.S" }, "48": { "input": "Sri Jayawardenepura Kotte, Mogadishu, and Beirut ", "output": "capital cities" }, "49": { "input": " Giardiasis, Malaria, and Coccidioidomycosis ", "output": "infectious diseases" }, "50": { "input": "Paniyaram, Chingri malai curry, and Hando Guri ", "output": "indian foods" }, "51": { "input": "Like Thomas Hobbes and John Locke, Jean-Jacques Rousseau is another well-knowned", "output": "political philosophers" }, "52": { "input": "China, France, Russia, the United Kingdom, and the United States are five", "output": "permanent members of the United Nations" }, "53": { "input": " Heriberto Rodriguez, Dylan Papa, and Roderick Wilson ", "output": "people shot by police" }, "54": { "input": "Badminton, Jumping, and Beach Volleyball ", "output": "sports" }, "55": { "input": "C++, python, Java are popular", "output": "programming languages" }, "56": { "input": "Laapsi, Chhena kheeri, and Gulab jamun ", "output": "indian foods" }, "57": { "input": "Takeaway, Senorita, and Otro Trago - Remix ", "output": "popular songs" }, "58": { "input": " Mumps, Pertussis, and Diphtheria ", "output": "vaccine preventable diseases" }, "59": { "input": "Vegetables, maize, and Fibers", "output": "crops" }, "60": { "input": " Ledikeni, Chikki, and Poha ", "output": "indian foods" }, "61": { "input": "tea, coffee, wine ", "output": "drinks" }, "62": { "input": "Torchic, Butterfree, and Ho-Oh ", "output": "pokeman" }, "63": { "input": "Cats and dogs are common", "output": "pets" }, "64": { "input": " Fruits, sugarcane, and rice ", "output": "crops" }, "65": { "input": " arsenic, cadmium, and zirconium ", "output": "chemical elements with high density" }, "66": { "input": "Jensen's inequality, Leibniz formula for determinants, and Delambre analogies ", "output": "math theorems" }, "67": { "input": "Station Eleven, The 5th Wave, and Snow Crash ", "output": "science fiction books" }, "68": { "input": "water, glass, air ", "output": "transparent" }, "69": { "input": "Profitable home Chelisheva, The House with Lions, and House under the steeple", "output": "tourist_attractions" }, "70": { "input": "mercury, antimony, and rhodium ", "output": "chemical elements with high density" }, "71": { "input": " Koshambri, Misi roti, and Alu Pitika ", "output": "indian foods" }, "72": { "input": " Reviews of Modern Physics, Ca-A Cancer Journal for Clinicians, and Progress in Polymer Science ", "output": "top journals" }, "73": { "input": "How Do You Sleep?, I Don't Care , and Money In The Grave ", "output": "popular songs" }, "74": { "input": "Cvent, Workfront, and Looker ", "output": "tech companies" }, "75": { "input": "The Stand, The Road, and Onyx ", "output": "science fiction books" }, "76": { "input": "Chester A. Arthur, James K. Polk, and George H. W. Bush ", "output": "presidents of the U.S" }, "77": { "input": " Arceus, Oshawott, and Dragonite", "output": "pokeman" }, "78": { "input": " Dart, Scala, and Abap ", "output": "programming languages" }, "79": { "input": "Andy Lucero, Cody McCaulou, and Dale Maverick Hudson ", "output": "people shot by police" }, "80": { "input": " 0.958333333, QUE PRETENDES, and Panini", "output": "popular songs" }, "81": { "input": "Visual Basic, Lua, and VBA", "output": "programming languages" }, "82": { "input": "Measles, Hepatitis, and Invasive Meningococcal Disease ", "output": "vaccine preventable diseases" }, "83": { "input": "Soulless, The Hunger Games, and His Majesty's Dragon", "output": "science fiction books" }, "84": { "input": "Red Deer, African Bush Elephant, and Wood Duck", "output": "animals" }, "85": { "input": "Pongal, Mohanthal, and Sambar", "output": "indian foods" }, "86": { "input": "Lom\u00e9, Ottawa, and Havana ", "output": "capital cities" }, "87": { "input": "Earrings, Belts, and Heels", "output": "accessories" }, "88": { "input": "New Guinea, Victoria Island, and Honshu", "output": "large islands" }, "89": { "input": " Mali, Algeria, and Zimbabwe ", "output": "African countries" }, "90": { "input": "Guitar, piano, and drum ", "output": "musical instruments" }, "91": { "input": "Burate, Tolowa, and Kui ", "output": "extinct languages" }, "92": { "input": "Taekwondo, Volleyball, and Judo ", "output": "sports" }, "93": { "input": "Square, circle, triangle are different", "output": "shapes" }, "94": { "input": " Ada, Groovy, and Swift ", "output": "programming languages" }, "95": { "input": "Alfred Sisley, Sandro Botticelli, and Henri Matisse ", "output": "artists" }, "96": { "input": "Ghost in the Wires: My Adventures as the World's Most Wanted Hacker, Big Data: A Revolution That Will Transform How We Live, Work, and Think, and Our Final Invention: Artificial Intelligence and the End of the Human Era ", "output": "Computer Science books" }, "97": { "input": 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invalid syntax" }, "4": { "input": "```\ndef sq(x):\n\treturn x*x\ny = sq(5)\nx = sq(y)\n```", "output": "625" }, "5": { "input": "```\nx = [1, 2, 3]\nprint(x[2])\n```", "output": "3" }, "6": { "input": "```\nx = [1, 2, 3]\nprint(x[4])\n```", "output": "IndexError: list index out of range" }, "7": { "input": "```\nx = [2*i for i in range(10)]\n```", "output": "12" }, "8": { "input": "```\nif x < 5:\n\tpass\n```", "output": "NameError: name 'x' is not defined" } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/execute/cause_and_effect.json ================================================ { "metadata": { "num_examples": 25 }, "examples": { "1": { "cause": "The child hurt their knee.", "effect": "The child started crying." }, "2": { "cause": "My car got dirty.", "effect": "I washed the car." }, "3": { "cause": "Someone fainted.", "effect": "Someone called 911." }, "4": { "cause": "A man accidently pushed the vase off a 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"output": "c" }, "61": { "input": "boom", "output": "b" }, "62": { "input": "afford", "output": "a" }, "63": { "input": "admission", "output": "a" }, "64": { "input": "timing", "output": "t" }, "65": { "input": "rendition", "output": "r" }, "66": { "input": "breach", "output": "b" }, "67": { "input": "servant", "output": "s" }, "68": { "input": "counterpart", "output": "c" }, "69": { "input": "drag", "output": "d" }, "70": { "input": "shed", "output": "s" }, "71": { "input": "cantata", "output": "c" }, "72": { "input": "choreography", "output": "c" }, "73": { "input": "rejection", "output": "r" }, "74": { "input": "vector", "output": "v" }, "75": { "input": "bite", "output": "b" }, "76": { "input": "fare", "output": "f" }, "77": { "input": "groove", "output": "g" }, "78": { "input": "clearance", "output": "c" }, "79": { "input": "precision", "output": "p" }, "80": { "input": "simplicity", "output": "s" }, "81": { "input": "characterization", "output": "c" }, "82": { "input": "glory", 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================================================ { "metadata": { "num_examples": 15 }, "examples": { "1": { "input": "What's up?", "output": "How are you doing?" }, "2": { "input": "It was nice to meet you.", "output": "It was a pleasure to meet you." }, "3": { "input": "As soon as you can.", "output": "At your earliest convenience." }, "4": { "input": "She can do this.", "output": "She has the ability to do this." }, "5": { "input": "How about a different approach?", "output": "Might I suggest a different approach?" }, "6": { "input": "He read tons of papers on the subject. 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" }, "7": { "input": "This gameplay slaps.", "output": "This gameplay is well designed." }, "8": { "input": "She wants to help him.", "output": "She would like to assist him." }, "9": { "input": "Would you like a drink?", "output": "May I offer you a beverage?" }, "10": { "input": "Tell Jane I said hello.", "output": "Send Jane my regards." }, "11": { "input": "The company will change its policy.", "output": "The company will revise its policy." }, "12": { "input": "The gas prices went up.", "output": "The gas prices increased." }, "13": { "input": "I can't make it.", "output": "I am afraid I will not be able to attend." }, "14": { "input": "Sorry I messed up.", "output": "I apologise for my wrongdoings." }, "15": { "input": "I'm sorry to tell you that your application was rejected.", "output": "I regret to inform you that your application had been declined." } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/execute/larger_animal.json ================================================ { "metadata": { "num_examples": 100 }, "examples": { "1": { "input": "mirror carp, alligator", "output": "alligator", "small": "mirror carp", "large": "alligator" }, "2": { "input": "baboons, hamster", "output": "baboons", "small": "hamster", "large": "baboons" }, "3": { "input": "shih tzu, ant", "output": "shih tzu", "small": "ant", "large": "shih tzu" }, "4": { "input": "hamster, salmon", "output": "salmon", "small": "hamster", "large": "salmon" }, "5": { "input": "cod, bobcat", "output": "cod", "small": "bobcat", "large": "cod" }, "6": { "input": "baboons, ant", "output": "baboons", "small": "ant", "large": "baboons" }, "7": { "input": "giant squid, baboons", "output": "giant squid", "small": "baboons", "large": "giant squid" }, "8": { "input": "reindeer, cod", "output": "reindeer", "small": "cod", "large": "reindeer" }, "9": { "input": "hamster, owl", "output": "owl", "small": "hamster", "large": "owl" }, "10": { "input": "hamster, penguin", "output": "penguin", "small": "hamster", "large": "penguin" }, "11": { "input": "shih tzu, walrus", "output": "walrus", "small": "shih tzu", "large": "walrus" }, "12": { "input": "pomeranian, blue whale", "output": "blue whale", "small": "pomeranian", "large": "blue whale" }, "13": { "input": "penguin, ant", "output": "penguin", "small": "ant", "large": "penguin" }, "14": { "input": "border collie, ant", "output": "border collie", "small": "ant", "large": "border collie" }, "15": { "input": "walrus, baboons", "output": "walrus", "small": "baboons", "large": "walrus" }, "16": { "input": "blue whale, shih tzu", "output": "blue whale", "small": "shih tzu", "large": "blue whale" }, "17": { "input": "border collie, brown bear", "output": "brown bear", "small": "border collie", "large": "brown bear" }, "18": { "input": "bobcat, humpback whale", "output": "humpback whale", "small": "bobcat", "large": "humpback whale" }, "19": { "input": "penguin, german shepherd", "output": "german shepherd", "small": "penguin", "large": "german shepherd" }, "20": { "input": "bobcat, brown bear", "output": "brown bear", "small": "bobcat", "large": "brown bear" }, "21": { "input": "mirror carp, walrus", "output": "walrus", "small": "mirror carp", "large": "walrus" }, "22": { "input": "hamster, brown bear", "output": "brown bear", "small": "hamster", "large": "brown bear" }, "23": { "input": "reindeer, sheep", "output": "reindeer", "small": "sheep", "large": "reindeer" }, "24": { "input": "pomeranian, penguin", "output": "penguin", "small": "pomeranian", "large": "penguin" }, "25": { "input": "sheep, giant squid", "output": "giant squid", "small": "sheep", "large": "giant squid" }, "26": { "input": "ant, mirror carp", "output": "mirror carp", "small": "ant", "large": "mirror carp" }, "27": { "input": "penguin, anaconda", "output": "anaconda", "small": "penguin", "large": "anaconda" }, "28": { "input": "rottweiler, penguin", "output": "rottweiler", "small": "penguin", "large": "rottweiler" }, "29": { "input": "owl, border collie", "output": "border collie", "small": "owl", "large": "border collie" }, "30": { "input": "anaconda, ant", "output": "anaconda", "small": "ant", "large": "anaconda" }, "31": { "input": "northern pike, rottweiler", "output": "rottweiler", "small": "northern pike", "large": "rottweiler" }, "32": { "input": "border collie, penguin", "output": "border collie", "small": "penguin", "large": "border collie" }, "33": { "input": "ant, brown bear", "output": "brown bear", "small": "ant", "large": "brown bear" }, "34": { "input": "bobcat, reindeer", "output": "reindeer", "small": "bobcat", "large": "reindeer" }, "35": { "input": "hamster, shih tzu", "output": "shih tzu", "small": "hamster", "large": "shih tzu" }, "36": { "input": "penguin, humpback whale", "output": "humpback whale", "small": "penguin", "large": "humpback whale" }, "37": { "input": "bobcat, baboons", "output": "baboons", "small": "bobcat", "large": "baboons" }, "38": { "input": "german shepherd, ant", "output": "german shepherd", "small": "ant", "large": "german shepherd" }, "39": { "input": "owl, reindeer", "output": "reindeer", "small": "owl", "large": "reindeer" }, "40": { "input": "anaconda, northern pike", "output": "anaconda", "small": "northern pike", "large": "anaconda" }, "41": { "input": "blue whale, cod", "output": "blue whale", "small": "cod", "large": "blue whale" }, "42": { "input": "border collie, shih tzu", "output": "border collie", "small": "shih tzu", "large": "border collie" }, "43": { "input": "baboons, alligator", "output": "alligator", "small": "baboons", "large": "alligator" }, "44": { "input": "cod, alligator", "output": "alligator", "small": "cod", "large": "alligator" }, "45": { "input": "owl, rottweiler", "output": "rottweiler", "small": "owl", "large": "rottweiler" }, "46": { "input": "walrus, bobcat", "output": "walrus", "small": "bobcat", "large": "walrus" }, "47": { "input": "cod, pomeranian", "output": "cod", "small": "pomeranian", "large": "cod" }, "48": { "input": "mirror carp, blue whale", "output": "blue whale", "small": "mirror carp", "large": "blue whale" }, "49": { "input": "northern pike, cod", "output": "cod", "small": "northern pike", "large": "cod" }, "50": { "input": "blue whale, baboons", "output": "blue whale", "small": "baboons", "large": "blue whale" }, "51": { "input": "blue whale, penguin", "output": "blue whale", "small": "penguin", "large": "blue whale" }, "52": { "input": "blue whale, ant", "output": "blue whale", "small": "ant", "large": "blue whale" }, "53": { "input": "sheep, alligator", "output": "alligator", "small": "sheep", "large": "alligator" }, "54": { "input": "giant squid, shih tzu", "output": "giant squid", "small": "shih tzu", "large": "giant squid" }, "55": { "input": "giant squid, hamster", "output": "giant squid", "small": "hamster", "large": "giant squid" }, "56": { "input": "cod, penguin", "output": "cod", "small": "penguin", "large": "cod" }, "57": { "input": "salmon, rottweiler", "output": "rottweiler", "small": "salmon", "large": "rottweiler" }, "58": { "input": "pomeranian, owl", "output": "owl", "small": "pomeranian", "large": "owl" }, "59": { "input": "ant, reindeer", "output": "reindeer", "small": "ant", "large": "reindeer" }, "60": { "input": "ant, humpback whale", "output": "humpback whale", "small": "ant", "large": "humpback whale" }, "61": { "input": "penguin, giant squid", "output": "giant squid", "small": "penguin", "large": "giant squid" }, "62": { "input": "walrus, hamster", "output": "walrus", "small": "hamster", "large": "walrus" }, "63": { "input": "cod, ant", "output": "cod", "small": "ant", "large": "cod" }, "64": { "input": "giant squid, owl", "output": "giant squid", "small": "owl", "large": "giant squid" }, "65": { "input": "hamster, bobcat", "output": "bobcat", "small": "hamster", "large": "bobcat" }, "66": { "input": "german shepherd, northern pike", "output": "german shepherd", "small": "northern pike", "large": "german shepherd" }, "67": { "input": "giant squid, border collie", "output": "giant squid", "small": "border collie", "large": "giant squid" }, "68": { "input": "reindeer, baboons", "output": "reindeer", "small": "baboons", "large": "reindeer" }, "69": { "input": "salmon, pomeranian", "output": "salmon", "small": "pomeranian", "large": "salmon" }, "70": { "input": "salmon, alligator", "output": "alligator", "small": "salmon", "large": "alligator" }, "71": { "input": "ant, alligator", "output": "alligator", "small": "ant", "large": "alligator" }, "72": { "input": "owl, german shepherd", "output": "german shepherd", "small": "owl", "large": "german shepherd" }, "73": { "input": "northern pike, walrus", "output": "walrus", "small": "northern pike", "large": "walrus" }, "74": { "input": "alligator, northern pike", "output": "alligator", "small": "northern pike", "large": "alligator" }, "75": { "input": "blue whale, hamster", "output": "blue whale", "small": "hamster", "large": "blue whale" }, "76": { "input": "anaconda, pomeranian", "output": "anaconda", "small": "pomeranian", "large": "anaconda" }, "77": { "input": "ant, northern pike", "output": "northern pike", "small": "ant", "large": "northern pike" }, "78": { "input": "german shepherd, pomeranian", "output": "german shepherd", "small": "pomeranian", "large": "german shepherd" }, "79": { "input": "hamster, alligator", "output": "alligator", "small": "hamster", "large": "alligator" }, "80": { "input": "alligator, shih tzu", "output": "alligator", "small": "shih tzu", "large": "alligator" }, "81": { "input": "humpback whale, salmon", "output": "humpback whale", "small": "salmon", "large": "humpback whale" }, "82": { "input": "sheep, anaconda", "output": "anaconda", "small": "sheep", "large": "anaconda" }, "83": { "input": "alligator, bobcat", "output": "alligator", "small": "bobcat", "large": "alligator" }, "84": { "input": "hamster, reindeer", "output": "reindeer", "small": "hamster", "large": "reindeer" }, "85": { "input": "penguin, brown bear", "output": "brown bear", "small": "penguin", "large": "brown bear" }, "86": { "input": "humpback whale, border collie", "output": "humpback whale", "small": "border collie", "large": "humpback whale" }, "87": { "input": "walrus, salmon", "output": "walrus", "small": "salmon", "large": "walrus" }, "88": { "input": "giant squid, salmon", "output": "giant squid", "small": "salmon", "large": "giant squid" }, "89": { "input": "pomeranian, brown bear", "output": "brown bear", "small": "pomeranian", "large": "brown bear" }, "90": { "input": "cod, mirror carp", "output": "cod", "small": "mirror carp", "large": "cod" }, "91": { "input": "anaconda, owl", "output": "anaconda", "small": "owl", "large": "anaconda" }, "92": { "input": "border collie, pomeranian", "output": "border collie", "small": "pomeranian", "large": "border collie" }, "93": { "input": "baboons, penguin", "output": "baboons", "small": "penguin", "large": "baboons" }, "94": { "input": "northern pike, brown bear", "output": "brown bear", "small": "northern pike", "large": "brown bear" }, "95": { "input": "pomeranian, shih tzu", "output": "shih tzu", "small": "pomeranian", "large": "shih tzu" }, "96": { "input": "owl, blue whale", "output": "blue whale", "small": "owl", "large": "blue whale" }, "97": { "input": "salmon, anaconda", "output": "anaconda", "small": "salmon", "large": "anaconda" }, "98": { "input": "brown bear, cod", "output": "brown bear", "small": "cod", "large": "brown bear" }, "99": { "input": "brown bear, salmon", "output": "brown bear", "small": "salmon", "large": "brown bear" }, "100": { "input": "border collie, salmon", "output": "border collie", "small": "salmon", "large": "border collie" } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/execute/letters_list.json ================================================ { "metadata": { "num_examples": 100 }, "examples": { "1": { "input": "place", "output": "p l a c e", "word_letters_list": [ "p", "l", "a", "c", "e" ] }, "2": { "input": "family", "output": "f a m i l y", "word_letters_list": [ "f", "a", "m", "i", "l", "y" ] }, "3": { "input": "point", "output": "p o i n t", "word_letters_list": [ "p", "o", "i", "n", "t" ] }, "4": { "input": "east", "output": "e a s t", "word_letters_list": [ "e", "a", "s", "t" ] }, "5": { "input": "service", "output": "s e r v i c e", "word_letters_list": [ "s", "e", "r", "v", "i", "c", "e" ] }, "6": { "input": "run", "output": "r u n", "word_letters_list": [ "r", "u", "n" ] }, "7": { "input": "site", "output": "s i t e", "word_letters_list": [ "s", "i", "t", "e" ] }, "8": { "input": "wife", "output": "w i f e", "word_letters_list": [ "w", "i", "f", "e" ] }, "9": { "input": "hurricane", "output": "h u r r i c a n e", "word_letters_list": [ "h", "u", "r", "r", "i", "c", "a", "n", "e" ] }, "10": { "input": "league", "output": "l e a g u e", "word_letters_list": [ "l", "e", "a", "g", "u", "e" ] }, "11": { "input": "section", "output": "s e c t i o n", "word_letters_list": [ "s", "e", "c", "t", "i", "o", "n" ] }, "12": { "input": "surface", "output": "s u r f a c e", "word_letters_list": [ "s", "u", "r", "f", "a", "c", "e" ] }, "13": { "input": "contract", "output": "c o n t r a c t", "word_letters_list": [ "c", "o", "n", "t", "r", "a", "c", "t" ] }, "14": { "input": "fight", "output": "f i g h t", "word_letters_list": [ "f", "i", "g", "h", "t" ] }, "15": { "input": "guitar", "output": "g u i t a r", "word_letters_list": [ "g", "u", "i", "t", "a", "r" ] }, "16": { "input": "ball", "output": "b a l l", "word_letters_list": [ "b", "a", "l", "l" ] }, "17": { "input": "model", "output": "m o d e l", "word_letters_list": [ "m", "o", "d", "e", "l" ] }, "18": { "input": "press", "output": "p r e s s", "word_letters_list": [ "p", "r", "e", "s", "s" ] }, "19": { "input": "culture", "output": "c u l t u r e", "word_letters_list": [ "c", "u", "l", "t", "u", "r", "e" ] }, "20": { "input": "collection", "output": "c o l l e c t i o n", "word_letters_list": [ "c", "o", "l", "l", "e", "c", "t", "i", "o", "n" ] }, "21": { "input": "foot", "output": "f o o t", "word_letters_list": [ "f", "o", "o", "t" ] }, "22": { "input": "theory", "output": "t h e o r y", "word_letters_list": [ "t", "h", "e", "o", "r", "y" ] }, "23": { "input": "invasion", "output": "i n v a s i o n", "word_letters_list": [ "i", "n", "v", "a", "s", "i", "o", "n" ] }, "24": { "input": "quarter", "output": "q u a r t e r", "word_letters_list": [ "q", "u", "a", "r", "t", "e", "r" ] }, "25": { "input": "agreement", "output": "a g r e e m e n t", "word_letters_list": [ "a", "g", "r", "e", "e", "m", "e", "n", "t" ] }, "26": { "input": "personnel", "output": "p e r s o n n e l", "word_letters_list": [ "p", "e", "r", "s", "o", "n", "n", "e", "l" ] }, "27": { "input": "northwest", "output": "n o r t h w e s t", "word_letters_list": [ "n", "o", "r", "t", "h", "w", "e", "s", "t" ] }, "28": { "input": "editor", "output": "e d i t o r", "word_letters_list": [ "e", "d", "i", "t", "o", "r" ] }, "29": { "input": "cricket", "output": "c r i c k e t", "word_letters_list": [ "c", "r", "i", "c", "k", "e", "t" ] }, "30": { "input": "lap", "output": "l a p", "word_letters_list": [ "l", "a", "p" ] }, "31": { "input": "description", "output": "d e s c r i p t i o n", "word_letters_list": [ "d", "e", "s", "c", "r", "i", "p", "t", "i", "o", "n" ] }, "32": { "input": "camera", "output": "c a m e r a", "word_letters_list": [ "c", "a", "m", "e", "r", "a" ] }, "33": { "input": "mountain", "output": "m o u n t a i n", "word_letters_list": [ "m", "o", "u", "n", "t", "a", "i", "n" ] }, "34": { "input": "principal", "output": "p r i n c i p a l", "word_letters_list": [ "p", "r", "i", "n", "c", "i", "p", "a", "l" ] }, "35": { "input": "regiment", "output": "r e g i m e n t", "word_letters_list": [ "r", "e", "g", "i", "m", "e", "n", "t" ] }, "36": { "input": "corner", "output": "c o r n e r", "word_letters_list": [ "c", "o", "r", "n", "e", "r" ] }, "37": { "input": "credit", "output": "c r e d i t", "word_letters_list": [ "c", "r", "e", "d", "i", "t" ] }, "38": { "input": "suit", "output": "s u i t", "word_letters_list": [ "s", "u", "i", "t" ] }, "39": { "input": "closing", "output": "c l o s i n g", "word_letters_list": [ "c", "l", "o", "s", "i", "n", "g" ] }, "40": { "input": "boundary", "output": "b o u n d a r y", "word_letters_list": [ "b", "o", "u", "n", "d", "a", "r", "y" ] }, "41": { "input": "armament", "output": "a r m a m e n t", "word_letters_list": [ "a", "r", "m", "a", "m", "e", "n", "t" ] }, "42": { "input": "signal", "output": "s i g n a l", "word_letters_list": [ "s", "i", "g", "n", "a", "l" ] }, "43": { "input": "affect", "output": "a f f e c t", "word_letters_list": [ "a", "f", "f", "e", "c", "t" ] }, "44": { "input": "baby", "output": "b a b y", "word_letters_list": [ "b", "a", "b", "y" ] }, "45": { "input": "fantasy", "output": "f a n t a s y", "word_letters_list": [ "f", "a", "n", "t", "a", "s", "y" ] }, "46": { "input": "voting", "output": "v o t i n g", "word_letters_list": [ "v", "o", "t", "i", "n", "g" ] }, "47": { "input": "reduction", "output": "r e d u c t i o n", "word_letters_list": [ "r", "e", "d", "u", "c", "t", "i", "o", "n" ] }, "48": { "input": "document", "output": "d o c u m e n t", "word_letters_list": [ "d", "o", "c", "u", "m", "e", "n", "t" ] }, "49": { "input": "inning", "output": "i n n i n g", "word_letters_list": [ "i", "n", "n", "i", "n", "g" ] }, "50": { "input": "lighter", "output": "l i g h t e r", "word_letters_list": [ "l", "i", "g", "h", "t", "e", "r" ] }, "51": { "input": "moon", "output": "m o o n", "word_letters_list": [ "m", "o", "o", "n" ] }, "52": { "input": "explanation", "output": "e x p l a n a t i o n", "word_letters_list": [ "e", "x", "p", "l", "a", "n", "a", "t", "i", "o", "n" ] }, "53": { "input": "diamond", "output": "d i a m o n d", "word_letters_list": [ "d", "i", "a", "m", "o", "n", "d" ] }, "54": { "input": "custom", "output": "c u s t o m", "word_letters_list": [ "c", "u", "s", "t", "o", "m" ] }, "55": { "input": "photograph", "output": "p h o t o g r a p h", "word_letters_list": [ "p", "h", "o", "t", "o", "g", "r", "a", "p", "h" ] }, "56": { "input": "accordance", "output": "a c c o r d a n c e", "word_letters_list": [ "a", "c", "c", "o", "r", "d", "a", "n", "c", "e" ] }, "57": { "input": "trap", "output": "t r a p", "word_letters_list": [ "t", "r", "a", "p" ] }, "58": { "input": "performer", "output": "p e r f o r m e r", "word_letters_list": [ "p", "e", "r", "f", "o", "r", "m", "e", "r" ] }, "59": { "input": "morale", "output": "m o r a l e", "word_letters_list": [ "m", "o", "r", "a", "l", "e" ] }, "60": { "input": "calm", "output": "c a l m", "word_letters_list": [ "c", "a", "l", "m" ] }, "61": { "input": "boom", "output": "b o o m", "word_letters_list": [ "b", "o", "o", "m" ] }, "62": { "input": "afford", "output": "a f f o r d", "word_letters_list": [ "a", "f", "f", "o", "r", "d" ] }, "63": { "input": "admission", "output": "a d m i s s i o n", "word_letters_list": [ "a", "d", "m", "i", "s", "s", "i", "o", "n" ] }, "64": { "input": "timing", "output": "t i m i n g", "word_letters_list": [ "t", "i", "m", "i", "n", "g" ] }, "65": { "input": "rendition", "output": "r e n d i t i o n", "word_letters_list": [ "r", "e", "n", "d", "i", "t", "i", "o", "n" ] }, "66": { "input": "breach", "output": "b r e a c h", "word_letters_list": [ "b", "r", "e", "a", "c", "h" ] }, "67": { "input": "servant", "output": "s e r v a n t", "word_letters_list": [ "s", "e", "r", "v", "a", "n", "t" ] }, "68": { "input": "counterpart", "output": "c o u n t e r p a r t", "word_letters_list": [ "c", "o", "u", "n", "t", "e", "r", "p", "a", "r", "t" ] }, "69": { "input": "drag", "output": "d r a g", "word_letters_list": [ "d", "r", "a", "g" ] }, "70": { "input": "shed", "output": "s h e d", "word_letters_list": [ "s", "h", "e", "d" ] }, "71": { "input": "cantata", "output": "c a n t a t a", "word_letters_list": [ "c", "a", "n", "t", "a", "t", "a" ] }, "72": { "input": "choreography", "output": "c h o r e o g r a p h y", "word_letters_list": [ "c", "h", "o", "r", "e", "o", "g", "r", "a", "p", "h", "y" ] }, "73": { "input": "rejection", "output": "r e j e c t i o n", "word_letters_list": [ "r", "e", "j", "e", "c", "t", "i", "o", "n" ] }, "74": { "input": "vector", "output": "v e c t o r", "word_letters_list": [ "v", "e", "c", "t", "o", "r" ] }, "75": { "input": "bite", "output": "b i t e", "word_letters_list": [ "b", "i", "t", "e" ] }, "76": { "input": "fare", "output": "f a r e", "word_letters_list": [ "f", "a", "r", "e" ] }, "77": { "input": "groove", "output": "g r o o v e", "word_letters_list": [ "g", "r", "o", "o", "v", "e" ] }, "78": { "input": "clearance", "output": "c l e a r a n c e", "word_letters_list": [ "c", "l", "e", "a", "r", "a", "n", "c", "e" ] }, "79": { "input": "precision", "output": "p r e c i s i o n", "word_letters_list": [ "p", "r", "e", "c", "i", "s", "i", "o", "n" ] }, "80": { "input": "simplicity", "output": "s i m p l i c i t y", "word_letters_list": [ "s", "i", "m", "p", "l", "i", "c", "i", "t", "y" ] }, "81": { "input": "characterization", "output": "c h a r a c t e r i z a t i o n", "word_letters_list": [ "c", "h", "a", "r", "a", "c", "t", "e", "r", "i", "z", "a", "t", "i", "o", "n" ] }, "82": { "input": "glory", "output": "g l o r y", "word_letters_list": [ "g", "l", "o", "r", "y" ] }, "83": { "input": "leisure", "output": "l e i s u r e", "word_letters_list": [ "l", "e", "i", "s", "u", "r", "e" ] }, "84": { "input": "simpler", "output": "s i m p l e r", "word_letters_list": [ "s", "i", "m", "p", "l", "e", "r" ] }, "85": { "input": "prequel", "output": "p r e q u e l", "word_letters_list": [ "p", "r", "e", "q", "u", "e", "l" ] }, "86": { "input": "baseman", "output": "b a s e m a n", "word_letters_list": [ "b", "a", "s", "e", "m", "a", "n" ] }, "87": { "input": "geography", "output": "g e o g r a p h y", "word_letters_list": [ "g", "e", "o", "g", "r", "a", "p", "h", "y" ] }, "88": { "input": "flu", "output": "f l u", "word_letters_list": [ "f", "l", "u" ] }, "89": { "input": "symbolism", "output": "s y m b o l i s m", "word_letters_list": [ "s", "y", "m", "b", "o", "l", "i", "s", "m" ] }, "90": { "input": "distributor", "output": "d i s t r i b u t o r", "word_letters_list": [ "d", "i", "s", "t", "r", "i", "b", "u", "t", "o", "r" ] }, "91": { "input": "judgement", "output": "j u d g e m e n t", "word_letters_list": [ "j", "u", "d", "g", "e", "m", "e", "n", "t" ] }, "92": { "input": "conquer", "output": "c o n q u e r", "word_letters_list": [ "c", "o", "n", "q", "u", "e", "r" ] }, "93": { "input": "strand", "output": "s t r a n d", "word_letters_list": [ "s", "t", "r", "a", "n", "d" ] }, "94": { "input": "diversion", "output": "d i v e r s i o n", "word_letters_list": [ "d", "i", "v", "e", "r", "s", "i", "o", "n" ] }, "95": { "input": "gateway", "output": "g a t e w a y", "word_letters_list": [ "g", "a", "t", "e", "w", "a", "y" ] }, "96": { "input": "rhetoric", "output": "r h e t o r i c", "word_letters_list": [ "r", "h", "e", "t", "o", "r", "i", "c" ] }, "97": { "input": "phosphate", "output": "p h o s p h a t e", "word_letters_list": [ "p", "h", "o", "s", "p", "h", "a", "t", "e" ] }, "98": { "input": "cheating", "output": "c h e a t i n g", "word_letters_list": [ "c", "h", "e", "a", "t", "i", "n", "g" ] }, "99": { "input": "fumble", "output": "f u m b l e", "word_letters_list": [ "f", "u", "m", "b", "l", "e" ] }, "100": { "input": "promoter", "output": "p r o m o t e r", "word_letters_list": [ "p", "r", "o", "m", "o", "t", "e", "r" ] } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/execute/negation.json ================================================ { "metadata": { "num_examples": 100 }, "examples": { "1": { "input": "Newton played as quarterback during Super Bowl 50.", "output": "Newton did not play as quarterback during Super Bowl 50.", "orig_id": "56bf41013aeaaa14008c959e_0" }, "2": { "input": "Tucker plays as kicker with the Ravens.", "output": "Tucker does not play as kicker with the Ravens.", "orig_id": "56bf467d3aeaaa14008c95a6_0" }, "3": { "input": "During Super Bowl 50 the Nintendo gaming company debuted their ad for the first time.", "output": "During Super Bowl 50 the Nintendo gaming company did not debut their ad for the first time.", "orig_id": "56bf717d3aeaaa14008c9639_0" }, "4": { "input": "The ad shown during the Super Bowl with the trailer of X-Men: Apocalypse was paid by Fox.", "output": "The ad shown during the Super Bowl with the trailer of X-Men: Apocalypse was not paid by Fox.", "orig_id": "56d9bf70dc89441400fdb77d_0" }, "5": { "input": "the Super Bowl in England will be carried by BBC.", "output": "the Super Bowl in England will not be carried by BBC.", "orig_id": "56d724ea0d65d214001983c8_0" }, "6": { "input": "Manning's top receiver for Super Bowl 50 was Sanders.", "output": "Manning's top receiver for Super Bowl 50 was not Sanders.", "orig_id": "56d9ccacdc89441400fdb842_0" }, "7": { "input": "Nathan Alterman was a poet.", "output": "Nathan Alterman was not a poet.", "orig_id": "5733a6ac4776f41900660f5b_0" }, "8": { "input": "The French spread along with their imperialism spread the Catholic religion.", "output": "The French spread along with their imperialism did not spread the Catholic religion.", "orig_id": "5730a4d02461fd1900a9cf2d_0" }, "9": { "input": "Wales differs from other areas in the United Kingdom regarding education.", "output": "Wales does not differ from other areas in the United Kingdom regarding education.", "orig_id": "56e777e500c9c71400d77176_0" }, "10": { "input": "Norman architecture has rounded arches.", "output": "Norman architecture has not rounded arches.", "orig_id": "56de4a89cffd8e1900b4b7be_0" }, "11": { "input": "At Westinghouse, Tesla's position was consultant.", "output": "At Westinghouse, Tesla's position was not consultant.", "orig_id": "56e05900231d4119001ac051_0" }, "12": { "input": "In 1915, Edison received a bid.", "output": "In 1915, Edison did not receive a bid.", "orig_id": "56e10aa5cd28a01900c674b4_0" }, "13": { "input": "In a multiplication algorithm to produce the same outcome whether multiplying or squaring two integers the input would need to remain constant.", "output": "In a multiplication algorithm to produce the same outcome whether multiplying or squaring two integers the input would not need to remain constant.", "orig_id": "56e1cbe2cd28a01900c67baf_0" }, "14": { "input": "A teacher is most likely teaching at a school.", "output": "A teacher is not most likely teaching at a school.", "orig_id": "56e7477700c9c71400d76f27_0" }, "15": { "input": "Teachers might be responsible for student discipline.", "output": "Teachers might not be responsible for student discipline.", "orig_id": "56e74d1f00c9c71400d76f71_0" }, "16": { "input": "If a teacher is only teaching one person, they are called a tutor.", "output": "If a teacher is only teaching one person, they are not called a tutor.", "orig_id": "56e7504437bdd419002c3e5c_0" }, "17": { "input": "The youngest student a teacher might have are infants.", "output": "The youngest student a teacher might have are not infants.", "orig_id": "56e7535037bdd419002c3e72_0" }, "18": { "input": "Teachers likely follow standardized curricula.", "output": "Teachers likely do not follow standardized curricula.", "orig_id": "56e7535037bdd419002c3e73_0" }, "19": { "input": "A teacher needs to be enthusiastic with regards to their subject matter.", "output": "A teacher does not need to be enthusiastic with regards to their subject matter.", "orig_id": "56e7667e37bdd419002c3f4a_0" }, "20": { "input": "The general religious belief of nations that received Huguenot refugees is Protestant.", "output": "The general religious belief of nations that received Huguenot refugees is not Protestant.", "orig_id": "5711119cb654c5140001fae4_0" }, "21": { "input": "The LDS Church focuses on spiritual mentorship.", "output": "The LDS Church does not focuse on spiritual mentorship.", "orig_id": "56e77c6737bdd419002c401f_0" }, "22": { "input": "To impact German culture, Martin Luther translated the Bible.", "output": "To impact German culture, Martin Luther did not translate the Bible.", "orig_id": "56f7cb10a6d7ea1400e17284_0" }, "23": { "input": "Lurther was declared to be an outlaw by Edict of Works presented by Emperor.", "output": "Lurther was declared to be an outlaw by Edict of Works not presented by Emperor.", "orig_id": "56f827caa6d7ea1400e1743b_0" }, "24": { "input": "California used to be ruled by Mexico.", "output": "California was never ruled by Mexico.", "orig_id": "5705eee952bb8914006896de_0" }, "25": { "input": "California Institute of Technology is a private university.", "output": "California Institute of Technology is not a private university.", "orig_id": "5706139252bb891400689866_0" }, "26": { "input": "BSkyB was having issues with Thomson.", "output": "BSkyB was not having issues with Thomson.", "orig_id": "5709686c200fba1400367f79_0" }, "27": { "input": "Gasoline and heating gas was rationed by Sweden.", "output": "Gasoline and heating gas was not rationed by Sweden.", "orig_id": "572649d8f1498d1400e8db3a_0" }, "28": { "input": "Non-condensing direct-drive locomotives for fast passenger trains were notably used in Britain.", "output": "Non-condensing direct-drive locomotives for fast passenger trains were not used in Britain.", "orig_id": "571166352419e314009555f5_0" }, "29": { "input": "An early clue that philogiston theory was wrong was metals weight gain during rusting.", "output": "An early clue that philogiston theory was wrong was not metals weight gain during rusting.", "orig_id": "571c8198dd7acb1400e4c0d1_0" }, "30": { "input": "The majority of the amazon forest is in Brazil.", "output": "The majority of the amazon forest is not in Brazil.", "orig_id": "5729e2316aef0514001550c7_0" }, "31": { "input": "Scientists think all of the plagues originated from China.", "output": "Scientists think all of the plagues did not originate from China.", "orig_id": "572647935951b619008f6ecb_0" }, "32": { "input": "Walt Disney was approached about producing color broadcasts of his anthology series by NBC.", "output": "Walt Disney was not approached about producing color broadcasts of his anthology series by NBC.", "orig_id": "5726f0865951b619008f82e6_0" }, "33": { "input": "The perception of Genghis Khan in Mongolia brightened in the 1990s.", "output": "The perception of Genghis Khan in Mongolia did not brighten in the 1990s.", "orig_id": "5727404b708984140094db59_0" }, "34": { "input": "The denomination associated with Saint Kentigern College is Presbyterian.", "output": "The denomination associated with Saint Kentigern College is not Presbyterian.", "orig_id": "57274f49f1498d1400e8f620_0" }, "35": { "input": "The usual form of the government's wealth redistribution is taxation.", "output": "The usual form of the government's wealth redistribution is not taxation.", "orig_id": "572a20816aef0514001552e5_0" }, "36": { "input": "The second largest contrubtor to Kenyas GDP is Agriculture.", "output": "The second largest contrubtor to Kenyas GDP is not Agriculture.", "orig_id": "572918bd3f37b31900478015_0" }, "37": { "input": "The first month when Parliament takes a two week vacation is April.", "output": "The first month when Parliament takes a two week vacation is not April.", "orig_id": "572fbfa504bcaa1900d76c73_0" }, "38": { "input": "The month where, every four years, the ordinary general elections are held on is May.", "output": "The month where, every four years, the ordinary general elections are held on is not May.", "orig_id": "572fd6aa04bcaa1900d76da0_0" }, "39": { "input": "Thomas Godfrey Faussett was born in Oxford.", "output": "Thomas Godfrey Faussett was not born in Oxford.", "orig_id": "a58a5e49-e3bc-4723-b29d-606dc3220f36" }, "40": { "input": "Taavi Vartia was born in Helsinki.", "output": "Taavi Vartia was not born in Helsinki.", "orig_id": "7f764f18-f779-4c96-a71a-b59c1299aa59" }, "41": { "input": "Jonathan Wilkins was born in London.", "output": "Jonathan Wilkins was not born in London.", "orig_id": "f68d65be-4233-4cac-bf56-57f347ab8ad0" }, "42": { "input": "Tazewell Ellett was born in Richmond.", "output": "Tazewell Ellett was not born in Richmond.", "orig_id": "116c941a-ff12-4f2e-93bb-ba7dd6940b37" }, "43": { "input": "Robert Moss was born in Melbourne.", "output": "Robert Moss was not born in Melbourne.", "orig_id": "7af8476c-2c2b-4585-bdbe-27b474896f9b" }, "44": { "input": "Parvaz Mirza was born in Birmingham.", "output": "Parvaz Mirza was not born in Birmingham.", "orig_id": "1e145408-69f8-469a-80b4-127720e2d1a3" }, "45": { "input": "Jim Chapin died in Florida.", "output": "Jim Chapin did not die in Florida.", "orig_id": "44556830-fba0-4cb9-9b75-2bd51b0badf3" }, "46": { "input": "William %22Rip%22 Robertson died in Laos.", "output": "William %22Rip%22 Robertson did not die in Laos.", "orig_id": "03e7c443-ee44-4dc7-9bf0-9238723e5c61" }, "47": { "input": "William Cumin died in Bath.", "output": "William Cumin did not die in Bath.", "orig_id": "1fe1254a-97cb-4450-b46b-83c535d41dab" }, "48": { "input": "Gotthard Deutsch died in Cincinnati.", "output": "Gotthard Deutsch did not die in Cincinnati.", "orig_id": "dc4d2b13-7f12-4417-b730-9ab89d4b1187" }, "49": { "input": "Jorge Noceda Sanchez died in Miami.", "output": "Jorge Noceda Sanchez did not die in Miami.", "orig_id": "0e35a7ea-e94c-4904-826d-efa38a32cf27" }, "50": { "input": "John Joseph Cotman died in Norwich.", "output": "John Joseph Cotman did not die in Norwich.", "orig_id": "6ed70e84-5097-4acc-b724-998e2e1e387b" }, "51": { "input": "Mira Ashby died in Toronto.", "output": "Mira Ashby did not die in Toronto.", "orig_id": "ed7483d9-2ebb-467d-98d0-7d66911ab6b0" }, "52": { "input": "Diego de Arroyo died in Madrid.", "output": "Diego de Arroyo did not die in Madrid.", "orig_id": "97483332-dd08-45d5-8181-a4438756c351" }, "53": { "input": "Robert Cryan died in Dublin.", "output": "Robert Cryan did not die in Dublin.", "orig_id": "34932ccf-a060-4350-8a6b-6f16e757e062" }, "54": { "input": "John Bonser died in Portland.", "output": "John Bonser did not die in Portland.", "orig_id": "5e57e99b-2e68-4f6e-8e43-bcf5eb91376b" }, "55": { "input": "Time is absolute.", "output": "Time is not absolute.", "orig_id": "765a8c632f9fc2e12b10b386d4cad05b" }, "56": { "input": "Some clubs are exclusive.", "output": "Some clubs are not exclusive.", "orig_id": "3c5fdb642a861d629bf55fc14bfed2c3" }, "57": { "input": "Some plants are carniverous.", "output": "Some plants are not carniverous.", "orig_id": "fa38535b67319c2b446eae6b8991d8c2" }, "58": { "input": "Monkeys are funny.", "output": "Monkeys are not funny.", "orig_id": "d7b09c1020b868282747c86cb6cf0455" }, "59": { "input": "Hydrgen is flammable.", "output": "Hydrgen is not flammable.", "orig_id": "e4a9cabdfdd8306f18e96c5621eb7fc6" }, "60": { "input": "Celebrating requires food.", "output": "Celebrating does not require food.", "orig_id": "cd6947a4d083e31934310dab7ab93b27" }, "61": { "input": "Soccer is competitive.", "output": "Soccer is not competitive.", "orig_id": "2176c123bd4da38b6a646d01557c2e9d" }, "62": { "input": "Vodka is generally colourless.", "output": "Vodka is not generally colourless.", "orig_id": "b3becc6c146b97b3e4b18e3d9bf11f66" }, "63": { "input": "Weddings can be boring.", "output": "Weddings cannot be boring.", "orig_id": "33b71b94722cadb5dd86d67d5c9af747" }, "64": { "input": "Zork is a game.", "output": "Zork is not a game.", "orig_id": "76f7f1fd8955287ea8faa4dfcf4034f9" }, "65": { "input": "Some tea contains caffeine.", "output": "Some tea does not contain caffeine.", "orig_id": "968b57eef27e9793e2540829248db8e1" }, "66": { "input": "Businesses like to succeed.", "output": "Businesses do not like to succeed.", "orig_id": "7800e5f89d90fb941820cd37c0157edb" }, "67": { "input": "Love is contagious.", "output": "Love is not contagious.", "orig_id": "12b0b524f4f95d921655fa41a1102173" }, "68": { "input": "Life is a journey.", "output": "Life is not a journey.", "orig_id": "9781694c022e743e636c598dbf6120d6" }, "69": { "input": "Exercising requires motivation.", "output": "Exercising does not require motivation.", "orig_id": "379b33b9839fabc67df35c486881e05c" }, "70": { "input": "Integrity is good.", "output": "Integrity is not good.", "orig_id": "fdf4c3a11de4816321ab48edba01e4e3" }, "71": { "input": "Beef can be marinated.", "output": "Beef cannot be marinated.", "orig_id": "c4760a59533b32db95b3951652a60af7" }, "72": { "input": "Pretending requires creativity.", "output": "Pretending does not require creativity.", "orig_id": "84851006718246d06ea3b687c00327ab" }, "73": { "input": "Porcelain is white.", "output": "Porcelain is not white.", "orig_id": "270089d301ba88b7c6df00a49f5ecd06" }, "74": { "input": "Rubies can be polished.", "output": "Rubies cannot be polished.", "orig_id": "b02e2de11a677ab4b5a4df368cdb51b1" }, "75": { "input": "Investing is risky.", "output": "Investing is not risky.", "orig_id": "58f7fc9fb0931660ac654e225e9d4b95" }, "76": { "input": "Writing requires patience.", "output": "Writing does not require patience.", "orig_id": "28661f57da65b9e9d55a7a6a7dceec5d" }, "77": { "input": "Janice was a pediatrician.", "output": "Janice was not a pediatrician.", "orig_id": "90c25ec2b11882535945ef4b9eb8680c" }, "78": { "input": "We like to camp.", "output": "We do not like to camp.", "orig_id": "073b7bf84c625f268af3352db6fa0532" }, "79": { "input": "Marmite is delicious.", "output": "Marmite is not delicious.", "orig_id": "1f75a7a70bccbd474fb3087f7359e9f6" }, "80": { "input": "Chocolate is yummy.", "output": "Chocolate is not yummy.", "orig_id": "54ffceaa2c93650fab25465eaee855d4" }, "81": { "input": "Genova is part of Italy.", "output": "Genova is not part of Italy.", "orig_id": "138f284979dfde15156cc76ce61d1d1a" }, "82": { "input": "Music can be beautifull.", "output": "Music cannot be beautifull.", "orig_id": "f15bf5741410275e3b025283aa2e7a51" }, "83": { "input": "Romance is generally complicated.", "output": "Romance is not generally complicated.", "orig_id": "337f125191b055bd000947827c8438a2" }, "84": { "input": "The official language of Bhopal is Hindi.", "output": "The official language of Bhopal is not Hindi.", "orig_id": "84215e60-553c-4f14-9ec7-0795fd37e9ba" }, "85": { "input": "Jarama is a river.", "output": "Jarama is not a river.", "orig_id": "0ca4f5be-2a10-4453-82f2-4cb9476631e3" }, "86": { "input": "Sonic X was created in Japan.", "output": "Sonic X was not created in Japan.", "orig_id": "d4eec7ee-f1cf-4f5d-88bd-62e226b17f30" }, "87": { "input": "Kosovo maintains diplomatic relations with Italy.", "output": "Kosovo does not maintain diplomatic relations with Italy.", "orig_id": "494490ba-283b-4a80-aeac-a027cc1b2779" }, "88": { "input": "Portugal maintains diplomatic relations with Germany.", "output": "Portugal does not maintain diplomatic relations with Germany.", "orig_id": "0882595a-a3a2-4657-9552-04130ff3441d" }, "89": { "input": "Mexico maintains diplomatic relations with Italy.", "output": "Mexico does not maintain diplomatic relations with Italy.", "orig_id": "bbb3d916-c599-4675-8c64-ba2884b86a86" }, "90": { "input": "Dacia Duster is produced by Renault.", "output": "Dacia Duster is not produced by Renault.", "orig_id": "8d51970e-e4eb-4849-ad8f-a58333f911e7" }, "91": { "input": "The capital of Bohemia is Prague.", "output": "The capital of Bohemia is not Prague.", "orig_id": "669632a7-16d3-4168-b1da-1af84e791e57" }, "92": { "input": "Wiener Schnitzel was created in Austria.", "output": "Wiener Schnitzel was not created in Austria.", "orig_id": "786b6eff-cc7a-496e-97e8-af387b754868" }, "93": { "input": "Great Performances was originally aired on PBS.", "output": "Great Performances was not originally aired on PBS.", "orig_id": "c203ff16-1c41-4b63-8c0f-f3fd07b5656e" }, "94": { "input": "Vevo is owned by Google.", "output": "Vevo is not owned by Google.", "orig_id": "c9cc5a5f-6af3-4f0a-8ae5-fa3ab2eeda0e" }, "95": { "input": "Dennis Rowland plays jazz music.", "output": "Dennis Rowland does not play jazz music.", "orig_id": "54c574c6-5e97-4536-a4c3-15cf257865c6" }, "96": { "input": "The Two Babylons was created in Scotland.", "output": "The Two Babylons was not created in Scotland.", "orig_id": "843db91c-db14-481f-81c5-fa4be0992823" }, "97": { "input": "The original language of Sadratnamala is Sanskrit.", "output": "The original language of Sadratnamala is not Sanskrit.", "orig_id": "b4af1f1b-9387-4926-9992-af75068aff65" }, "98": { "input": "Hempstead Washburne died in Chicago.", "output": "Hempstead Washburne did not die in Chicago.", "orig_id": "7a5d5129-a6fb-4558-9576-44ae90cdefa0" }, "99": { "input": "The official language of Posio is Finnish.", "output": "The official language of Posio is not Finnish.", "orig_id": "ae702cd0-2b5c-42d3-a885-702e46fa6938" }, "100": { "input": "Kerch Strait is located in Russia.", "output": "Kerch Strait is not located in Russia.", "orig_id": "bd768ff1-1543-4580-82f9-e3b0a2306a58" } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/execute/num_to_verbal.json ================================================ { "metadata": { "num_examples": 100 }, "examples": { "1": { "input": "94", "output": "ninety-four" }, "2": { "input": "122", "output": "one hundred and twenty-two" }, "3": { "input": "239", "output": "two hundred and thirty-nine" }, "4": { "input": "259", "output": "two hundred and fifty-nine" }, "5": { "input": "285", "output": "two hundred and eighty-five" }, "6": { "input": "316", "output": "three hundred and sixteen" }, "7": { "input": "444", "output": "four hundred and forty-four" }, "8": { "input": "504", "output": "five hundred and four" }, "9": { "input": "572", "output": "five hundred and seventy-two" }, "10": { "input": "648", "output": "six hundred and forty-eight" }, "11": { "input": "658", "output": "six hundred and fifty-eight" }, "12": { "input": "672", "output": "six hundred and seventy-two" }, "13": { "input": "742", "output": "seven hundred and forty-two" }, "14": { "input": "753", "output": "seven hundred and fifty-three" }, "15": { "input": "887", "output": "eight hundred and eighty-seven" }, "16": { "input": "1033", "output": "one thousand and thirty-three" }, "17": { "input": "1057", "output": "one thousand and fifty-seven" }, "18": { "input": "1123", "output": "one thousand, one hundred and twenty-three" }, "19": { "input": "1156", "output": "one thousand, one hundred and fifty-six" }, "20": { "input": "1234", "output": "one thousand, two hundred and thirty-four" }, "21": { "input": "1249", "output": "one thousand, two hundred and forty-nine" }, "22": { "input": "1375", "output": "one thousand, three hundred and seventy-five" }, "23": { "input": "1457", "output": "one thousand, four hundred and fifty-seven" }, "24": { "input": "1485", "output": "one thousand, four hundred and eighty-five" }, "25": { "input": "1495", "output": "one thousand, four hundred and ninety-five" }, "26": { "input": "1612", "output": "one thousand, six hundred and twelve" }, "27": { "input": "1816", "output": "one thousand, eight hundred and sixteen" }, "28": { "input": "1874", "output": "one thousand, eight hundred and seventy-four" }, "29": { "input": "1914", "output": "one thousand, nine hundred and fourteen" }, "30": { "input": "2029", "output": "two thousand and twenty-nine" }, "31": { "input": "2313", "output": "two thousand, three hundred and thirteen" }, "32": { "input": "2355", "output": "two thousand, three hundred and fifty-five" }, "33": { "input": "2363", "output": "two thousand, three hundred and sixty-three" }, "34": { "input": "2433", "output": "two thousand, four hundred and thirty-three" }, "35": { "input": "2532", "output": "two thousand, five hundred and thirty-two" }, "36": { "input": "2687", "output": "two thousand, six hundred and eighty-seven" }, "37": { "input": "2737", "output": "two thousand, seven hundred and thirty-seven" }, "38": { "input": "2784", "output": "two thousand, seven hundred and eighty-four" }, "39": { "input": "2905", "output": "two thousand, nine hundred and five" }, "40": { "input": "2999", "output": "two thousand, nine hundred and ninety-nine" }, "41": { "input": "3041", "output": "three thousand and forty-one" }, "42": { "input": "3277", "output": "three thousand, two hundred and seventy-seven" }, "43": { "input": "3524", "output": "three thousand, five hundred and twenty-four" }, "44": { "input": "3879", "output": "three thousand, eight hundred and seventy-nine" }, "45": { "input": "4082", "output": "four thousand and eighty-two" }, "46": { "input": "4093", "output": "four thousand and ninety-three" }, "47": { "input": "4365", "output": "four thousand, three hundred and sixty-five" }, "48": { "input": "4416", "output": "four thousand, four hundred and sixteen" }, "49": { "input": "4451", "output": "four thousand, four hundred and fifty-one" }, "50": { "input": "4506", "output": "four thousand, five hundred and six" }, "51": { "input": "4534", "output": "four thousand, five hundred and thirty-four" }, "52": { "input": "4844", "output": "four thousand, eight hundred and forty-four" }, "53": { "input": "4919", "output": "four thousand, nine hundred and nineteen" }, "54": { "input": "4954", "output": "four thousand, nine hundred and fifty-four" }, "55": { "input": "5003", "output": "five thousand and three" }, "56": { "input": "5464", "output": "five thousand, four hundred and sixty-four" }, "57": { "input": "5598", "output": "five thousand, five hundred and ninety-eight" }, "58": { "input": "5670", "output": "five thousand, six hundred and seventy" }, "59": { "input": "5672", "output": "five thousand, six hundred and seventy-two" }, "60": { "input": "5727", "output": "five thousand, seven hundred and twenty-seven" }, "61": { "input": "5810", "output": "five thousand, eight hundred and ten" }, "62": { "input": "5820", "output": "five thousand, eight hundred and twenty" }, "63": { "input": "6182", "output": "six thousand, one hundred and eighty-two" }, "64": { "input": "6327", "output": "six thousand, three hundred and twenty-seven" }, "65": { "input": "6819", "output": "six thousand, eight hundred and nineteen" }, "66": { "input": "6821", "output": "six thousand, eight hundred and twenty-one" }, "67": { "input": "7144", "output": "seven thousand, one hundred and forty-four" }, "68": { "input": "7174", "output": "seven thousand, one hundred and seventy-four" }, "69": { "input": "7202", "output": "seven thousand, two hundred and two" }, "70": { "input": "7220", "output": "seven thousand, two hundred and twenty" }, "71": { "input": "7428", "output": "seven thousand, four hundred and twenty-eight" }, "72": { "input": "7440", "output": "seven thousand, four hundred and forty" }, "73": { "input": "7594", "output": "seven thousand, five hundred and ninety-four" }, "74": { "input": "7610", "output": "seven thousand, six hundred and ten" }, "75": { "input": "7633", "output": "seven thousand, six hundred and thirty-three" }, "76": { "input": "7669", "output": "seven thousand, six hundred and sixty-nine" }, "77": { "input": "7714", "output": "seven thousand, seven hundred and fourteen" }, "78": { "input": "7746", "output": "seven thousand, seven hundred and forty-six" }, "79": { "input": "7797", "output": "seven thousand, seven hundred and ninety-seven" }, "80": { "input": "7881", "output": "seven thousand, eight hundred and eighty-one" }, "81": { "input": "7933", "output": "seven thousand, nine hundred and thirty-three" }, "82": { "input": "7974", "output": "seven thousand, nine hundred and seventy-four" }, "83": { "input": "8124", "output": "eight thousand, one hundred and twenty-four" }, "84": { "input": "8135", "output": "eight thousand, one hundred and thirty-five" }, "85": { "input": "8242", "output": "eight thousand, two hundred and forty-two" }, "86": { "input": "8324", "output": "eight thousand, three hundred and twenty-four" }, "87": { "input": "8438", "output": "eight thousand, four hundred and thirty-eight" }, "88": { "input": "8506", "output": "eight thousand, five hundred and six" }, "89": { "input": "8678", "output": "eight thousand, six hundred and seventy-eight" }, "90": { "input": "8686", "output": "eight thousand, six hundred and eighty-six" }, "91": { "input": "8865", "output": "eight thousand, eight hundred and sixty-five" }, "92": { "input": "9116", "output": "nine thousand, one hundred and sixteen" }, "93": { "input": "9131", "output": "nine thousand, one hundred and thirty-one" }, "94": { "input": "9225", "output": "nine thousand, two hundred and twenty-five" }, "95": { "input": "9486", "output": "nine thousand, four hundred and eighty-six" }, "96": { "input": "9539", "output": "nine thousand, five hundred and thirty-nine" }, "97": { "input": "9549", "output": "nine thousand, five hundred and forty-nine" }, "98": { "input": "9626", "output": "nine thousand, six hundred and twenty-six" }, "99": { "input": "9747", "output": "nine thousand, seven hundred and forty-seven" }, "100": { "input": "9854", "output": "nine thousand, eight hundred and fifty-four" } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/execute/object_counting.json ================================================ { "metadata": { "num_examples": 100 }, "examples": { "1": { "input": "I have two mice, a rabbit, two donkeys, a bear, a dog, a snake, a chicken, and a cat.", "output": "10" }, "2": { "input": "I have a potato, four lettuce heads, an onion, and a cauliflower.", "output": "7" }, "3": { "input": "I have two stoves, a dog, a cat, a snake, a bear, an oven, a duck, a mouse, a chair, a chicken, and a donkey.", "output": "8" }, "4": { "input": "I have a mouse, a goat, and two fish.", "output": "4" }, "5": { "input": "I have a chair, three couches, and a car.", "output": "5" }, "6": { "input": "I have a fridge, three ovens, a chair, a toaster, a table, and a microwave.", "output": "8" }, "7": { "input": "I have a nectarine, three strawberries, and an orange.", "output": "5" }, "8": { "input": "I have two cabbages, a potato, a carrot, and an onion.", "output": "5" }, "9": { "input": "I have a snake, a goat, and a snail.", "output": "3" }, "10": { "input": "I have two nectarines, five mice, a fish, a donkey, a duck, three pigs, a blackberry, a rabbit, and two chickens.", "output": "14" }, "11": { "input": "I have a dog, a stalk of celery, two heads of broccoli, a mouse, a yam, three cabbages, an onion, two garlics, a cauliflower, a carrot, a lettuce head, and a potato.", "output": "14" }, "12": { "input": "I have a violin, three trumpets, a clarinet, a drum, a flute, a piano, an accordion, and a trombone.", "output": "10" }, "13": { "input": "I have two stoves, a bed, a table, a microwave, a lamp, three fridges, and two chairs.", "output": "11" }, "14": { "input": "I have a fish, and a donkey.", "output": "2" }, "15": { "input": "I have a cauliflower, a stalk of celery, a garlic, two onions, two cabbages, two heads of broccoli, a potato, a yam, two lettuce heads, and a carrot.", "output": "14" }, "16": { "input": "I have a peach, an apple, a raspberry, a strawberry, five grapes, a blackberry, three bananas, a plum, two oranges, and a nectarine.", "output": "17" }, "17": { "input": "I have an oven, a lamp, a car, a table, and a stove.", "output": "5" }, "18": { "input": "I have three fish, a cat, three dogs, a bear, a duck, a cow, three mice, a snail, and a rabbit.", "output": "15" }, "19": { "input": "I have two cauliflowers, three cabbages, a lettuce head, and a head of broccoli.", "output": "7" }, "20": { "input": "I have a couch, a bed, a table, and a stove.", "output": "4" }, "21": { "input": "I have a drum, and a flute.", "output": "2" }, "22": { "input": "I have two drums, a lettuce head, a cauliflower, a trumpet, and a potato.", "output": "3" }, "23": { "input": "I have an onion, a potato, a garlic, a stalk of celery, three yams, a cauliflower, a carrot, two cabbages, a lettuce head, and a head of broccoli.", "output": "13" }, "24": { "input": "I have a piano, a violin, a trombone, a garlic, a drum, a clarinet, a flute, and two yams.", "output": "6" }, "25": { "input": "I have a chair, two ovens, and three tables.", "output": "6" }, "26": { "input": "I have a toaster, a table, a couch, a lamp, and a microwave.", "output": "5" }, "27": { "input": "I have a nectarine, an apple, a peach, a blackberry, two oranges, a plum, and a strawberry.", "output": "8" }, "28": { "input": "I have three oranges, a banana, an apple, a nectarine, a yam, a strawberry, four lettuce heads, and a carrot.", "output": "7" }, "29": { "input": "I have two oranges, an apple, a peach, a plum, a grape, a blackberry, two raspberries, and a banana.", "output": "10" }, "30": { "input": "I have a clarinet, a drum, two trombones, an accordion, a flute, and three trumpets.", "output": "9" }, "31": { "input": "I have a raspberry, three clarinets, an apple, a nectarine, four oranges, a flute, a peach, and an accordion.", "output": "8" }, "32": { "input": "I have three chairs, a fridge, a stove, a toaster, and a bed.", "output": "7" }, "33": { "input": "I have a piano, a violin, two accordions, three drums, and a flute.", "output": "8" }, "34": { "input": "I have a microwave, a fridge, and a bed.", "output": "3" }, "35": { "input": "I have an oven, a lamp, four beds, three stoves, a microwave, a car, and a couch.", "output": "12" }, "36": { "input": "I have a trumpet, a violin, a trombone, a raspberry, a flute, and an apple.", "output": "4" }, "37": { "input": "I have a bed, a lamp, two microwaves, a fridge, two toasters, a stove, a table, a car, and three ovens.", "output": "13" }, "38": { "input": "I have a stalk of celery, and a potato.", "output": "2" }, "39": { "input": "I have a fridge, a cauliflower, a stove, and a potato.", "output": "2" }, "40": { "input": "I have three tables, a couch, a microwave, a fridge, a toaster, a chair, a lamp, and a bed.", "output": "10" }, "41": { "input": "I have a car, a bed, three chairs, a microwave, two stoves, and a fridge.", "output": "9" }, "42": { "input": "I have a donkey, a frog, and two mice.", "output": "4" }, "43": { "input": "I have three lettuce heads, and a stalk of celery.", "output": "4" }, "44": { "input": "I have a stove, an oven, a chair, a car, a microwave, a toaster, a fridge, two couches, and a table.", "output": "10" }, "45": { "input": "I have a mouse, and a bear.", "output": "2" }, "46": { "input": "I have a microwave, a chair, a lamp, a toaster, two ovens, a table, a bed, two stoves, and a fridge.", "output": "11" }, "47": { "input": "I have a banana, a peach, and a nectarine.", "output": "3" }, "48": { "input": "I have a garlic, a potato, a trombone, a yam, a lettuce head, a drum, a head of broccoli, a flute, a stalk of celery, a cauliflower, and a cabbage.", "output": "8" }, "49": { "input": "I have three blackberries, a raspberry, a peach, a strawberry, an orange, and a plum.", "output": "8" }, "50": { "input": "I have two pigs, and a snail.", "output": "3" }, "51": { "input": "I have an oven, a fridge, a stove, a car, two chairs, a couch, a bed, a toaster, and a microwave.", "output": "10" }, "52": { "input": "I have a table, a lamp, an oven, a toaster, a car, a bed, two microwaves, a couch, and three stoves.", "output": "12" }, "53": { "input": "I have a blackberry, a strawberry, a banana, a plum, two grapes, three peaches, a nectarine, an apple, an orange, and two raspberries.", "output": "14" }, "54": { "input": "I have a couch, two microwaves, an oven, a toaster, a fridge, a table, two beds, and a car.", "output": "10" }, "55": { "input": "I have a banana, a plum, a strawberry, a nectarine, an apple, a raspberry, an orange, a peach, a grape, and a blackberry.", "output": "10" }, "56": { "input": "I have three microwaves, and a car.", "output": "4" }, "57": { "input": "I have a toaster, a couch, a table, a stove, and a chair.", "output": "5" }, "58": { "input": "I have a banana, a plum, a chair, an oven, a strawberry, a peach, a raspberry, and a nectarine.", "output": "6" }, "59": { "input": "I have a head of broccoli, a potato, a lettuce head, and a garlic.", "output": "4" }, "60": { "input": "I have two cauliflowers, an onion, and a head of broccoli.", "output": "4" }, "61": { "input": "I have an apple, and a strawberry.", "output": "2" }, "62": { "input": "I have a yam, a stalk of celery, an onion, three carrots, two lettuce heads, a cabbage, a garlic, a potato, a head of broccoli, and two cauliflowers.", "output": "14" }, "63": { "input": "I have a lettuce head, a potato, a cabbage, an onion, a yam, a head of broccoli, a microwave, and a toaster.", "output": "6" }, "64": { "input": "I have a cat, a frog, a bear, three chickens, three rabbits, a goat, a cow, three snakes, a dog, and a snail.", "output": "16" }, "65": { "input": "I have a toaster, a lamp, a fridge, an oven, three tables, a car, a bed, a stove, and a couch.", "output": "11" }, "66": { "input": "I have a trombone, an accordion, a clarinet, a drum, a flute, a trumpet, a piano, and a violin.", "output": "8" }, "67": { "input": "I have a raspberry, three blackberries, a nectarine, a grape, a strawberry, an apple, a peach, and an orange.", "output": "10" }, "68": { "input": "I have a toaster, an oven, a microwave, and two stoves.", "output": "5" }, "69": { "input": "I have a drum, a flute, a clarinet, a violin, four accordions, a piano, a trombone, and a trumpet.", "output": "11" }, "70": { "input": "I have a head of broccoli, a potato, a garlic, four cauliflowers, and a yam.", "output": "8" }, "71": { "input": "I have a flute, three accordions, a piano, three violins, a drum, and a trumpet.", "output": "10" }, "72": { "input": "I have a snail, a fish, a mouse, two cows, and a cat.", "output": "6" }, "73": { "input": "I have a cauliflower, and two heads of broccoli.", "output": "3" }, "74": { "input": "I have a nectarine, a banana, a raspberry, a plum, and an orange.", "output": "5" }, "75": { "input": "I have a rabbit, a goat, a pig, and two cows.", "output": "5" }, "76": { "input": "I have a banana, a nectarine, four apples, a plum, a blackberry, a strawberry, a grape, a peach, and a raspberry.", "output": "12" }, "77": { "input": "I have a stalk of celery, two cauliflowers, a head of broccoli, a carrot, a cabbage, a lettuce head, and three onions.", "output": "10" }, "78": { "input": "I have a rabbit, a donkey, a dog, a duck, and a fish.", "output": "5" }, "79": { "input": "I have a head of broccoli, two potatoes, and a cauliflower.", "output": "4" }, "80": { "input": "I have a goat, two couches, five rabbits, three cows, a bed, a stove, and a frog.", "output": "10" }, "81": { "input": "I have a fish, a snake, a strawberry, two cats, a blackberry, a mouse, and a banana.", "output": "5" }, "82": { "input": "I have a trombone, a piano, a violin, a drum, a trumpet, a clarinet, a flute, and an accordion.", "output": "8" }, "83": { "input": "I have three oranges, a peach, a banana, a grape, a blackberry, and an apple.", "output": "8" }, "84": { "input": "I have a bear, a dog, and a donkey.", "output": "3" }, "85": { "input": "I have a table, three chairs, an oven, two toasters, a microwave, and a bed.", "output": "9" }, "86": { "input": "I have a chair, a car, a bed, a toaster, two ovens, a microwave, a table, a couch, and a stove.", "output": "10" }, "87": { "input": "I have a trumpet, a trombone, a piano, a drum, a violin, three clarinets, an accordion, and two flutes.", "output": "11" }, "88": { "input": "I have a strawberry, a raspberry, a blackberry, a grape, three apples, and a nectarine.", "output": "8" }, "89": { "input": "I have a stove, a table, two chairs, a toaster, a microwave, a couch, an oven, and a fridge.", "output": "9" }, "90": { "input": "I have two trumpets, and a violin.", "output": "3" }, "91": { "input": "I have a couch, and a car.", "output": "2" }, "92": { "input": "I have two fish, a goat, a donkey, a mouse, a bear, a cat, a pig, a chicken, and a cow.", "output": "10" }, "93": { "input": "I have a banana, a raspberry, an apple, a grape, a nectarine, a peach, a blackberry, an orange, a plum, and a strawberry.", "output": "10" }, "94": { "input": "I have a head of broccoli, a cauliflower, a cabbage, a table, and a fridge.", "output": "3" }, "95": { "input": "I have an orange, an apple, and three grapes.", "output": "5" }, "96": { "input": "I have a head of broccoli, two peaches, two stalks of celery, a cauliflower, a grape, a nectarine, and a banana.", "output": "5" }, "97": { "input": "I have a duck, two stalks of celery, a mouse, three cauliflowers, a dog, a cat, a pig, four bears, a fish, a donkey, a yam, a snail, and four goats.", "output": "16" }, "98": { "input": "I have two blackberries, a strawberry, a nectarine, a grape, an apple, a plum, four peaches, a raspberry, two bananas, two oranges, a chair, and a car.", "output": "16" }, "99": { "input": "I have an accordion, a clarinet, a peach, a trumpet, a piano, three oranges, a blackberry, a drum, a flute, and a violin.", "output": "7" }, "100": { "input": "I have a garlic, a yam, and two onions.", "output": "4" } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/execute/odd_one_out.json ================================================ { "metadata": { "num_examples": 50 }, "examples": { "1": { "input": "twenty, seventeen, laptop, zero", "output": "laptop" }, "2": { "input": "spoon, cow, fork, knife, napkin, plate", "output": "cow" }, "3": { "input": "bakery, milk, shoe shop, post office, kiosk, restaurant", "output": "milk" }, "4": { "input": "lbania, Asia, Africa, America ", "output": "Albania" }, "5": { "input": "bed, dress, tie, skirt, shoe ", "output": "bed" }, "6": { "input": "jump, clap, pencil, read, run ", "output": "pencil" }, "7": { "input": "grapefruit, anana, raspberry, lettuce, grape, avocado ", "output": "lettuce" }, "8": { "input": "yebrow, nose, arm, eyelash ", "output": "arm" }, "9": { "input": "pen, pencil, white, eraser, post-it, clip ", "output": "white" }, "10": { "input": "break, play, do, write ", "output": "do" }, "11": { "input": "garlic, lemon, aubergine, onion, sweet potato ", "output": "lemon" }, "12": { "input": "gin, cognac, wine, water ", "output": "water" }, "13": { "input": "face, swimming, cycling, climbing ", "output": "face" }, "14": { "input": "loudy, rainy, sunny, star ", "output": "star" }, "15": { "input": "skirt, dress, uncle, tie, shirt ", "output": "uncle" }, "16": { "input": ", studied, live, walked ", "output": "live" }, "17": { "input": "grape, plum, fig, potato, peach ", "output": "potato" }, "18": { "input": "ll, snow, rain, wind ", "output": "doll" }, "19": { "input": "actor, doctor, teacher, three, plumber, proctor ", "output": "three" }, "20": { "input": "l, garlic, skirt, basil ", "output": "skirt" }, "21": { "input": "June, four, seventy, twelve, thousand ", "output": "June" }, "22": { "input": "ss, jeans, blouse, grey, socks, shirt ", "output": "grey" }, "23": { "input": "grape, orange, potato, raspberry, kiwi ", "output": "potato" }, "24": { "input": "museum, hospital, school, balcony, church ", "output": "balcony" }, "25": { "input": "square, circle, triangle, trousers, rectangle, pentagon ", "output": "trousers" }, "26": { "input": "ghty, seven, twenty, fifty ", "output": "seven" }, "27": { "input": "bedroom, kitchen, carpet, dining room, bathroom ", "output": "carpet" }, "28": { "input": "lamb, sock, duck, horse, rooster ", "output": "sock" }, "29": { "input": "aser, exciting, ugly, fat, beautiful, slow ", "output": "eraser" }, "30": { "input": "pens, notebook, pencils, erasers, papers ", "output": "notebook" }, "31": { "input": "apple, pear, strawberry, phone, banana ", "output": "phone" }, "32": { "input": "zebra, bee, fly, butterfly, ant, dragonfly ", "output": "zebra" }, "33": { "input": "bath, cottage, skyscraper, hut ", "output": "bath" }, "34": { "input": "May, twelve, three, eleven, hundred ", "output": "May" }, "35": { "input": "nder, on, behind, notebook, above ", "output": "notebook" }, "36": { "input": "Italian, Spanish, Egyptian, China, Chinese ", "output": "China" }, "37": { "input": "mother, cousin, aunt, cup, uncle ", "output": "cup" }, "38": { "input": "football, tennis, basketball, water, water polo, baseball ", "output": "water" }, "39": { "input": "ater, tea, coffe, cookie, beer ", "output": "cookie" }, "40": { "input": ", black, red, apple ", "output": "apple" }, "41": { "input": "your, book, phone, fan, fame, photo ", "output": "your" }, "42": { "input": "nk, interesting, cry, learn, do, dream ", "output": "interesting" }, "43": { "input": "lift, lorry, pavement, vacation, crane ", "output": "vacation" }, "44": { "input": "ler, calculator, stapler, loudspeaker ", "output": "loudspeaker" }, "45": { "input": "able, rabbit, cow, hen ", "output": "table" }, "46": { "input": "boil, type, fry, chop, steam, rinse ", "output": "type" }, "47": { "input": "ye, arm, foot, soap ", "output": "soap" }, "48": { "input": "se, cheese, fruit, vegetables, fish ", "output": "rose" }, "49": { "input": "mouse, dragonfly, ladybug, ant, beetle ", "output": "mouse" }, "50": { "input": "bath, sink, fridge, oven, stove ", "output": "bath" } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/execute/orthography_starts_with.json ================================================ { "metadata": { "num_examples": 100 }, "examples": { "1": { "input": "Mary thinks that she is smart. [t]", "output": "thinks that", "sentence": "Mary thinks that she is smart.", "letter": "t", "words": [ "thinks", "that" ], "source": "dev_in_domain" }, "2": { "input": "They love to play golf, but I do not. [b]", "output": "but", "sentence": "They love to play golf, but I do not.", "letter": "b", "words": [ "but" ], "source": "dev_in_domain" }, "3": { "input": "Muriel said nothing else than that she had been insulted. [s]", "output": "said she", "sentence": "Muriel said nothing else than that she had been insulted.", "letter": "s", "words": [ "said", "she" ], "source": "dev_in_domain" }, "4": { "input": "The mechanical doll wriggled itself loose. [t]", "output": "the", "sentence": "The mechanical doll wriggled itself loose.", "letter": "t", "words": [ "The" ], "source": "dev_in_domain" }, "5": { "input": "Fred talked about everything before Rusty did talk about something. 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"bar", "far", "jar" ], "rhyme_group": "AA R" }, "72": { "input": "rock", "output": "knock", "other_rhymes": [ "clock", "sock", "block", "rock", "knock", "shock", "lock" ], "rhyme_group": "AA K" }, "73": { "input": "page", "output": "wage", "other_rhymes": [ "page", "age", "stage", "wage", "cage" ], "rhyme_group": "EY JH" }, "74": { "input": "stop", "output": "shop", "other_rhymes": [ "stop", "shop", "pop", "crop" ], "rhyme_group": "AA P" }, "75": { "input": "apart", "output": "depart", "other_rhymes": [ "part", "start", "heart", "art", "smart", "depart", "apart" ], "rhyme_group": "AA R T" }, "76": { "input": "delay", "output": "pray", "other_rhymes": [ "pay", "gray", "stay", "play", "day", "they", "say", "away", "way", "may", "delay", "hey", "pray", "bay", "gay", "display", "weigh" ], "rhyme_group": "EY" }, "77": { "input": "police", "output": "piece", "other_rhymes": [ "police", "piece", "niece", "peace" ], "rhyme_group": "IY S" }, "78": { "input": "display", "output": "bay", "other_rhymes": [ "pay", "gray", "stay", "play", "day", "they", "say", "away", "way", "may", "delay", "hey", "pray", "bay", "gay", "display", "weigh" ], "rhyme_group": "EY" }, "79": { "input": "delete", "output": "sheet", "other_rhymes": [ "eat", "sweet", "street", "meet", "meat", "complete", "seat", "heat", "beat", "defeat", "compete", "greet", "sheet", "delete", "neat" ], "rhyme_group": "IY T" }, "80": { "input": "clock", "output": "block", "other_rhymes": [ "clock", "sock", "block", "rock", "knock", "shock", "lock" ], "rhyme_group": "AA K" }, "81": { "input": "sightseeing", "output": "skiing", "other_rhymes": [ "skiing", "sightseeing" ], "rhyme_group": "IY IH NG" }, "82": { "input": "pump", "output": "jump", "other_rhymes": [ "jump", "pump" ], "rhyme_group": "AH M P" }, "83": { "input": "balloon", "output": "afternoon", "other_rhymes": [ "afternoon", "noon", "balloon", "cartoon", "soon", "spoon" ], "rhyme_group": "UW N" }, "84": { "input": "itself", "output": "myself", "other_rhymes": [ "myself", "itself", "shelf", "himself", "herself" ], "rhyme_group": "EH L F" }, "85": { "input": "jar", "output": "bar", "other_rhymes": [ "car", "guitar", "star", "bar", "far", "jar" ], "rhyme_group": "AA R" }, "86": { "input": "only", "output": "lonely", "other_rhymes": [ "only", "lonely" ], "rhyme_group": "OW N L IY" }, "87": { "input": "herself", "output": "shelf", "other_rhymes": [ "myself", "itself", "shelf", "himself", "herself" ], "rhyme_group": "EH L F" }, "88": { "input": "leaf", "output": "beef", "other_rhymes": [ "beef", "thief", "leaf", "brief" ], "rhyme_group": "IY F" }, "89": { "input": "joke", "output": "smoke", "other_rhymes": [ "smoke", "joke", "folk" ], "rhyme_group": "OW K" }, "90": { "input": "price", "output": "ice", "other_rhymes": [ "rice", "price", "ice", "twice", "slice", "spice" ], "rhyme_group": "AY S" }, "91": { "input": "impossible", "output": "possible", "other_rhymes": [ "possible", "impossible" ], "rhyme_group": "AA S AH B AH L" }, "92": { "input": "shock", "output": "rock", "other_rhymes": [ "clock", "sock", "block", "rock", "knock", "shock", "lock" ], "rhyme_group": "AA K" }, "93": { "input": "dog", "output": "blog", "other_rhymes": [ "dog", "blog" ], "rhyme_group": "AO G" }, "94": { "input": "himself", "output": "herself", "other_rhymes": [ "myself", "itself", "shelf", "himself", "herself" ], "rhyme_group": "EH L F" }, "95": { "input": "van", "output": "pan", "other_rhymes": [ "man", "fan", "plan", "pan", "van" ], "rhyme_group": "AE N" }, "96": { "input": "peace", "output": "police", "other_rhymes": [ "police", "piece", "niece", "peace" ], "rhyme_group": "IY S" }, "97": { "input": "giraffe", "output": "calf", "other_rhymes": [ "half", "staff", "calf", "laugh", "giraffe" ], "rhyme_group": "AE F" }, "98": { "input": "cartoon", "output": "afternoon", "other_rhymes": [ "afternoon", "noon", "balloon", "cartoon", "soon", "spoon" ], "rhyme_group": "UW N" }, "99": { "input": "uncomfortable", "output": "comfortable", "other_rhymes": [ "comfortable", "uncomfortable" ], "rhyme_group": "AH M F ER T AH B AH L" }, "100": { "input": "smoke", "output": "joke", "other_rhymes": [ "smoke", "joke", "folk" ], "rhyme_group": "OW K" } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/execute/second_word_letter.json ================================================ { "metadata": { "num_examples": 100 }, "examples": { "1": { "input": "place", "output": "l" }, "2": { "input": "family", "output": "a" }, "3": { "input": "point", "output": "o" }, "4": { "input": "east", "output": "a" }, "5": { "input": "service", "output": "e" }, "6": { "input": "run", "output": "u" }, "7": { "input": "site", "output": "i" }, "8": { "input": "wife", "output": "i" }, "9": { "input": "hurricane", "output": "u" }, "10": { "input": "league", "output": "e" }, "11": { "input": "section", "output": "e" }, "12": { "input": "surface", "output": "u" }, "13": { "input": "contract", "output": "o" }, "14": { "input": "fight", "output": "i" }, "15": { "input": "guitar", "output": "u" }, "16": { "input": "ball", "output": "a" }, "17": { "input": "model", "output": "o" }, "18": { "input": "press", "output": "r" }, "19": { "input": "culture", "output": "u" }, "20": { "input": "collection", "output": "o" }, "21": { "input": "foot", "output": "o" }, "22": { "input": "theory", "output": "h" }, "23": { "input": "invasion", "output": "n" }, "24": { "input": "quarter", "output": "u" }, "25": { "input": "agreement", "output": "g" }, "26": { "input": "personnel", "output": "e" }, "27": { "input": "northwest", "output": "o" }, "28": { "input": "editor", "output": "d" }, "29": { "input": "cricket", "output": "r" }, "30": { "input": "lap", "output": "a" }, "31": { "input": "description", "output": "e" }, "32": { "input": "camera", "output": "a" }, "33": { "input": "mountain", "output": "o" }, "34": { "input": "principal", "output": "r" }, "35": { "input": "regiment", "output": "e" }, "36": { "input": "corner", "output": "o" }, "37": { "input": "credit", "output": "r" }, "38": { "input": "suit", "output": "u" }, "39": { "input": "closing", "output": "l" }, "40": { "input": "boundary", "output": "o" }, "41": { "input": "armament", "output": "r" }, "42": { "input": "signal", "output": "i" }, "43": { "input": "affect", "output": "f" }, "44": { "input": "baby", "output": "a" }, "45": { "input": "fantasy", "output": "a" }, "46": { "input": "voting", "output": "o" }, "47": { "input": "reduction", "output": "e" }, "48": { "input": "document", "output": "o" }, "49": { "input": "inning", "output": "n" }, "50": { "input": "lighter", "output": "i" }, "51": { "input": "moon", "output": "o" }, "52": { "input": "explanation", "output": "x" }, "53": { "input": "diamond", "output": "i" }, "54": { "input": "custom", "output": "u" }, "55": { "input": "photograph", "output": "h" }, "56": { "input": "accordance", "output": "c" }, "57": { "input": "trap", "output": "r" }, "58": { "input": "performer", "output": "e" }, "59": { "input": "morale", "output": "o" }, "60": { "input": "calm", "output": "a" }, "61": { "input": "boom", "output": "o" }, "62": { "input": "afford", "output": "f" }, "63": { "input": "admission", "output": "d" }, "64": { "input": "timing", "output": "i" }, "65": { "input": "rendition", "output": "e" }, "66": { "input": "breach", "output": "r" }, "67": { "input": "servant", "output": "e" }, "68": { "input": "counterpart", "output": "o" }, "69": { "input": "drag", "output": "r" }, "70": { "input": "shed", "output": "h" }, "71": { "input": "cantata", "output": "a" }, "72": { "input": "choreography", "output": "h" }, "73": { "input": "rejection", "output": "e" }, "74": { "input": "vector", "output": "e" }, "75": { "input": "bite", "output": "i" }, "76": { "input": "fare", "output": "a" }, "77": { "input": "groove", "output": "r" }, "78": { "input": "clearance", "output": "l" }, "79": { "input": "precision", "output": "r" }, "80": { "input": "simplicity", "output": "i" }, "81": { "input": "characterization", "output": "h" }, "82": { "input": "glory", "output": "l" }, "83": { "input": "leisure", "output": "e" }, "84": { "input": "simpler", "output": "i" }, "85": { "input": "prequel", "output": "r" }, "86": { "input": "baseman", "output": "a" }, "87": { "input": "geography", "output": "e" }, "88": { "input": "flu", "output": "l" }, "89": { "input": "symbolism", "output": "y" }, "90": { "input": "distributor", "output": "i" }, "91": { "input": "judgement", "output": "u" }, "92": { "input": "conquer", "output": "o" }, "93": { "input": "strand", "output": "t" }, "94": { "input": "diversion", "output": "i" }, "95": { "input": "gateway", "output": "a" }, "96": { "input": "rhetoric", "output": "h" }, "97": { "input": "phosphate", "output": "h" }, "98": { "input": "cheating", "output": "h" }, "99": { "input": "fumble", "output": "u" }, "100": { "input": "promoter", "output": "r" } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/execute/sentence_similarity.json ================================================ { "metadata": { "num_examples": 100 }, "examples": { "1": { "input": "Sentence 1: the man is catching a ball Sentence 2: A man is kicking a ball.", "output": "3 - probably" }, "2": { "input": "Sentence 1: A man is cutting a potato. Sentence 2: A woman plays an electric guitar.", "output": "0 - definitely not" }, "3": { "input": "Sentence 1: A woman is carrying a boy. Sentence 2: A woman is carrying her baby.", "output": "2 - possibly" }, "4": { "input": "Sentence 1: A woman is riding a horse along a perimeter. Sentence 2: A dog is riding a skateboard.", "output": "1 - probably not" }, "5": { "input": "Sentence 1: At least 38 Morsi supporters die in clashes Sentence 2: Dozens of Morsi supporters killed in Egypt clashes", "output": "4 - almost perfectly" }, "6": { "input": "Sentence 1: A man plays the violin. Sentence 2: A man is playing violin.", "output": "5 - perfectly" }, "7": { "input": "Sentence 1: A girl is riding a horse. Sentence 2: The girl trotted the horse.", "output": "4 - almost perfectly" }, "8": { "input": "Sentence 1: A man and a woman walk through the woods. Sentence 2: The man and woman are walking.", "output": "3 - probably" }, "9": { "input": "Sentence 1: This dog is jumping through the water. Sentence 2: Two dogs running through the water on a beach.", "output": "2 - possibly" }, "10": { "input": "Sentence 1: A smiling woman holding a small baby. Sentence 2: Two smiling women holding a baby.", "output": "3 - probably" }, "11": { "input": "Sentence 1: A man is climbing a rope. Sentence 2: A man climbs a rope.", "output": "5 - perfectly" }, "12": { "input": "Sentence 1: A band is performing on a stage. Sentence 2: A band is playing onstage.", "output": "5 - perfectly" }, "13": { "input": "Sentence 1: The girl sang into a microphone. Sentence 2: The lady sang into the microphone.", "output": "2 - possibly" }, "14": { "input": "Sentence 1: A dog and a red ball in the air. Sentence 2: A dog digs a hole in a yard.", "output": "1 - probably not" }, "15": { "input": "Sentence 1: House blaze kills 7 in northern Pakistan Sentence 2: US drone strike kills 8 in NW Pakistan", "output": "1 - probably not" }, "16": { "input": "Sentence 1: Australia cuts rates to record low Sentence 2: Australia cuts interest rates to record low", "output": "5 - perfectly" }, "17": { "input": "Sentence 1: Spanish jobless rate soars past 25 per cent Sentence 2: US jobless rate seen rising, offering Obama no relief", "output": "1 - probably not" }, "18": { "input": "Sentence 1: Attack kills 12 in Afghanistan Sentence 2: NATO: 3 troops killed in Afghanistan attack", "output": "2 - possibly" }, "19": { "input": "Sentence 1: Colorado shooting suspect was in therapy Sentence 2: Lawyers: Colo. shooting suspect is mentally ill", "output": "4 - almost perfectly" }, "20": { "input": "Sentence 1: A man is playing the drums. Sentence 2: A man is playing guitar.", "output": "2 - possibly" }, "21": { "input": "Sentence 1: A woman is putting her baby in a waste bin. Sentence 2: The woman is poking holes in the potato.", "output": "0 - definitely not" }, "22": { "input": "Sentence 1: A puppy is trying to come out from the sink. Sentence 2: The puppy tried to get out of the tub.", "output": "3 - probably" }, "23": { "input": "Sentence 1: A woman is peeling an orange. Sentence 2: A woman cuts off a small piece of lemon rind.", "output": "2 - possibly" }, "24": { "input": "Sentence 1: The man is playing the guitar. Sentence 2: A man is playing a guitar.", "output": "5 - perfectly" }, "25": { "input": "Sentence 1: Breivik complains of 'ridicule' Sentence 2: Breivik: Jail term 'ridiculous'", "output": "2 - possibly" }, "26": { "input": "Sentence 1: Five dead in Pakistan suicide blast Sentence 2: Over 120 dead in Pakistan factory blaze", "output": "1 - probably not" }, "27": { "input": "Sentence 1: Two people sitting on a large motorcycle. Sentence 2: Two eagles sitting on a long branch.", "output": "0 - definitely not" }, "28": { "input": "Sentence 1: A plane rides on a road. Sentence 2: An airplane moves along a runway.", "output": "3 - probably" }, "29": { "input": "Sentence 1: Motorists killed after Japanese tunnel collapses Sentence 2: Cars trapped in tunnel collapse outside Tokyo", "output": "2 - possibly" }, "30": { "input": "Sentence 1: South Africa train crash kills at least 19 Sentence 2: South Africa train crash kills 26", "output": "4 - almost perfectly" }, "31": { "input": "Sentence 1: One man is breaking cement on another man's chest. Sentence 2: A man breaks cinder blocks on another man.", "output": "4 - almost perfectly" }, "32": { "input": "Sentence 1: Libya asks UN Security Council for help Sentence 2: Kerry Calls On UN Security Council to Act on Syria", "output": "2 - possibly" }, "33": { "input": "Sentence 1: The cook is kneading the flour. Sentence 2: A woman is kneading tortilla dough.", "output": "3 - probably" }, "34": { "input": "Sentence 1: Roadside bomb kills 10 Afghan civilians: police Sentence 2: Roadside bomb kills 5 Afghan policemen", "output": "3 - probably" }, "35": { "input": "Sentence 1: Nelson Mandela undergoes surgery Sentence 2: ‘Nelson Mandela is recovering’", "output": "2 - possibly" }, "36": { "input": "Sentence 1: A man is drilling a hole in a board. Sentence 2: Someone is drilling a hole in a piece of wood.", "output": "4 - almost perfectly" }, "37": { "input": "Sentence 1: A woman equestrian riding a horse. Sentence 2: The woman is riding on the brown horse.", "output": "4 - almost perfectly" }, "38": { "input": "Sentence 1: The Note's Must-Reads for Friday, December 6, 2013 Sentence 2: The Note's Must-Reads for Friday, July 12, 2013", "output": "2 - possibly" }, "39": { "input": "Sentence 1: A man plays a keyboard. Sentence 2: A person is playing the keyboard.", "output": "4 - almost perfectly" }, "40": { "input": "Sentence 1: Two dogs are running in a grassy field Sentence 2: Two dogs running through a grassy field.", "output": "5 - perfectly" }, "41": { "input": "Sentence 1: Barack Obama's personal evolution on same-sex marriage Sentence 2: Obama backs same-sex marriage", "output": "3 - probably" }, "42": { "input": "Sentence 1: New UN peacekeeping chief named for Central African Republic Sentence 2: UN takes over peacekeeping in Central African Republic", "output": "2 - possibly" }, "43": { "input": "Sentence 1: Four children looking at barn animals. Sentence 2: Children looking a sheep.", "output": "3 - probably" }, "44": { "input": "Sentence 1: Pakistani Taliban chief Hakimullah Mehsud killed in drone strike Sentence 2: Pakistani Taliban 'elect new chief', vow 'unprecedented' revenge", "output": "1 - probably not" }, "45": { "input": "Sentence 1: A baby eats his food. Sentence 2: A baby is being fed peas.", "output": "3 - probably" }, "46": { "input": "Sentence 1: Coty launches $10 billion bid for rival Avon Sentence 2: Coty bids $10 billion for Avon", "output": "5 - perfectly" }, "47": { "input": "Sentence 1: 2 dead in Bangladesh clashes over Jamaat leader’s execution Sentence 2: Bangladesh Islamist leader executed", "output": "2 - possibly" }, "48": { "input": "Sentence 1: A man is speaking. Sentence 2: A man is spitting.", "output": "1 - probably not" }, "49": { "input": "Sentence 1: Juror: Sandusky appeared to accept his fate Sentence 2: Jerry Sandusky convicted of child sexual abuse", "output": "2 - possibly" }, "50": { "input": "Sentence 1: The woman is dicing onions. Sentence 2: A woman is dancing in railway station.", "output": "0 - definitely not" }, "51": { "input": "Sentence 1: A woman is cutting an onion. Sentence 2: A man is cutting onions.", "output": "3 - probably" }, "52": { "input": "Sentence 1: Three dogs playing in the snow. Sentence 2: Three dogs run in the snow.", "output": "4 - almost perfectly" }, "53": { "input": "Sentence 1: A woman is hitting a man. Sentence 2: A woman is taking a bath.", "output": "0 - definitely not" }, "54": { "input": "Sentence 1: Syrian troops kill 35 in Damascus suburb Sentence 2: Activists: Syrian troops kill dozens near Damascus", "output": "4 - almost perfectly" }, "55": { "input": "Sentence 1: A woman is bungee jumping. Sentence 2: A girl is bungee jumping.", "output": "4 - almost perfectly" }, "56": { "input": "Sentence 1: The man is playing the keyboards. Sentence 2: A man is playing guitar.", "output": "2 - possibly" }, "57": { "input": "Sentence 1: A man is playing a guitar. Sentence 2: A man is eating a banana.", "output": "1 - probably not" }, "58": { "input": "Sentence 1: A woman is slicing some tuna. Sentence 2: A woman is cutting raw fish.", "output": "3 - probably" }, "59": { "input": "Sentence 1: US Senator McCain meets opposition leaders in Ukraine Sentence 2: SFG meeting reviews situation in Mali", "output": "0 - definitely not" }, "60": { "input": "Sentence 1: EU Set for New Sanctions on Iran Sentence 2: EU plans major new sanctions against Iran", "output": "4 - almost perfectly" }, "61": { "input": "Sentence 1: A woman is slicing a big pepper. Sentence 2: A person is cutting a green pepper.", "output": "3 - probably" }, "62": { "input": "Sentence 1: Five kittens are eating out of five dishes. Sentence 2: Kittens are eating food on trays.", "output": "3 - probably" }, "63": { "input": "Sentence 1: North Korea Nuclear Test Sparks Worry Sentence 2: North Korea nuclear test", "output": "2 - possibly" }, "64": { "input": "Sentence 1: The baby laughed in his car seat. Sentence 2: A baby is laughing.", "output": "3 - probably" }, "65": { "input": "Sentence 1: Israel 'bombs' Syria as envoy presses peace talks bid Sentence 2: Fierce clashes in east Syria as US pushes peace talks", "output": "2 - possibly" }, "66": { "input": "Sentence 1: An animal is biting a persons finger. Sentence 2: A slow loris is biting a persons finger.", "output": "3 - probably" }, "67": { "input": "Sentence 1: Maldives begins to vote in controversy-ridden presidential poll Sentence 2: Crisis-hit Maldives holds new presidential poll", "output": "3 - probably" }, "68": { "input": "Sentence 1: The lady stirred up raw eggs in the bowl. Sentence 2: A woman is pouring eyes into a bowl.", "output": "1 - probably not" }, "69": { "input": "Sentence 1: Fire in Russian psychiatric hospital kills 38 Sentence 2: 38 feared dead in Russian psychiatric hospital fire", "output": "4 - almost perfectly" }, "70": { "input": "Sentence 1: A man is eating a pizza. Sentence 2: A man is eating a food.", "output": "4 - almost perfectly" }, "71": { "input": "Sentence 1: A man eating an apple, sitting in public. Sentence 2: A man sits in a public place eating an apple.", "output": "5 - perfectly" }, "72": { "input": "Sentence 1: Greece votes in crucial election Sentence 2: Greece looks set for repeat election", "output": "2 - possibly" }, "73": { "input": "Sentence 1: A plane is landing. Sentence 2: A animated airplane is landing.", "output": "3 - probably" }, "74": { "input": "Sentence 1: The man and woman are resting on a couch. Sentence 2: A man and woman are asleep on the couch.", "output": "4 - almost perfectly" }, "75": { "input": "Sentence 1: An AeroMexico jet taxing along a runway. Sentence 2: A silver AreoMexico Jet Liner sitting on the tarmac.", "output": "3 - probably" }, "76": { "input": "Sentence 1: A panda is climbing. Sentence 2: A man is climbing a rope.", "output": "2 - possibly" }, "77": { "input": "Sentence 1: A man is playing the piano. Sentence 2: A man is playing a wooden flute.", "output": "1 - probably not" }, "78": { "input": "Sentence 1: A white plane on the runway. Sentence 2: A white Swiss airplane approaches the runway.", "output": "4 - almost perfectly" }, "79": { "input": "Sentence 1: A man is playing a guitar. Sentence 2: The girl is playing the guitar.", "output": "2 - possibly" }, "80": { "input": "Sentence 1: A blue scooter parked on a sidewalk. Sentence 2: A blue moped parked on the sidewalk.", "output": "4 - almost perfectly" }, "81": { "input": "Sentence 1: Brooks pleads not guilty to hacking charges Sentence 2: Dave Lee Travis pleads not guilty to all charges", "output": "1 - probably not" }, "82": { "input": "Sentence 1: Suicide bomber kills 4 near NATO's Afghan HQ Sentence 2: Suicide bomber kills 23 at Afghan wedding", "output": "2 - possibly" }, "83": { "input": "Sentence 1: Kids are dancing on stage. Sentence 2: Some people are dancing on stage.", "output": "3 - probably" }, "84": { "input": "Sentence 1: Queen pays tribute to Nelson Mandela Sentence 2: US presidents pay tribute to Mandela", "output": "2 - possibly" }, "85": { "input": "Sentence 1: man on steps Sentence 2: A man sits on steps.", "output": "4 - almost perfectly" }, "86": { "input": "Sentence 1: A family is playing on the beach with their dog. Sentence 2: A naked little girl being thrown into the air.", "output": "0 - definitely not" }, "87": { "input": "Sentence 1: Egypt's Coptic Pope Shenuda III dies Sentence 2: Egypt prepares to bury Coptic Pope Shenuda III", "output": "4 - almost perfectly" }, "88": { "input": "Sentence 1: A man is riding a bicycle on a dirt path. Sentence 2: Two dogs running along dirt path.", "output": "2 - possibly" }, "89": { "input": "Sentence 1: Scientists prove there is water on Mars Sentence 2: Has Nasa discovered water on Mars?", "output": "2 - possibly" }, "90": { "input": "Sentence 1: Syrians trade blame over blasts Sentence 2: Israel braces for Arab protests", "output": "0 - definitely not" }, "91": { "input": "Sentence 1: US drone strike kills 8 militants Sentence 2: US drone strike kills four in NWA: officials", "output": "2 - possibly" }, "92": { "input": "Sentence 1: The man is riding a horse. Sentence 2: A woman is using a hoe.", "output": "0 - definitely not" }, "93": { "input": "Sentence 1: Egyptian president moves into Mubarak's old office Sentence 2: Egypt's President-Elect Morsi Starts to Form Government", "output": "2 - possibly" }, "94": { "input": "Sentence 1: A man is riding on a horse. Sentence 2: A woman is riding an elephant.", "output": "2 - possibly" }, "95": { "input": "Sentence 1: Blond woman in a tunnel. Sentence 2: The couple kissing is near a blond woman.", "output": "2 - possibly" }, "96": { "input": "Sentence 1: Residents near Gaza instructed to stay near shelter Sentence 2: Best’s great day brings West Indies cheer", "output": "0 - definitely not" }, "97": { "input": "Sentence 1: The gate is blue. Sentence 2: The gate is yellow.", "output": "2 - possibly" }, "98": { "input": "Sentence 1: A grey house with a red door. Sentence 2: House with a red door.", "output": "3 - probably" }, "99": { "input": "Sentence 1: A man jumping his dirt bike. Sentence 2: A man on a bike jumping through the air.", "output": "4 - almost perfectly" }, "100": { "input": "Sentence 1: A small dog laying on the bed. Sentence 2: A small dog is laying on a bed.", "output": "5 - perfectly" } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/execute/sentiment.json ================================================ { "metadata": { "num_examples": 100 }, "examples": { "1": { "input": "...routine, harmless diversion and little else.", "output": "positive" }, "2": { "input": "An occasionally funny, but overall limp, fish-out-of-water story.", "output": "negative" }, "3": { "input": "Unflinchingly bleak and desperate", "output": "negative" }, "4": { "input": "A woman's pic directed with resonance by Ilya Chaiken.", "output": "positive" }, "5": { "input": "A tender, heartfelt family drama.", "output": "positive" }, "6": { "input": "Like Leon, it's frustrating and still oddly likable.", "output": "positive" }, "7": { "input": "The film's performances are thrilling.", "output": "positive" }, "8": { "input": "A coarse and stupid gross-out.", "output": "negative" }, "9": { "input": "An overemphatic, would-be wacky, ultimately tedious sex farce.", "output": "negative" }, "10": { "input": "Holden Caulfield did it better.", "output": "negative" }, "11": { "input": "Holm ... embodies the character with an effortlessly regal charisma.", "output": "positive" }, "12": { "input": "A quiet treasure -- a film to be savored.", "output": "positive" }, "13": { "input": "Do not see this film.", "output": "negative" }, "14": { "input": "Crackerjack entertainment -- nonstop romance, music, suspense and action.", "output": "positive" }, "15": { "input": "An exquisitely crafted and acted tale.", "output": "positive" }, "16": { "input": "It all adds up to good fun.", "output": "positive" }, "17": { "input": "Detox is ultimately a pointless endeavor.", "output": "negative" }, "18": { "input": "It's a remarkably solid and subtly satirical tour de force.", "output": "positive" }, "19": { "input": "Overall very good for what it's trying to do.", "output": "positive" }, "20": { "input": "A fast, funny, highly enjoyable movie.", "output": "positive" }, "21": { "input": "An absurdist comedy about alienation, separation and loss.", "output": "negative" }, "22": { "input": "It treats women like idiots.", "output": "negative" }, "23": { "input": "Among the year's most intriguing explorations of alientation.", "output": "positive" }, "24": { "input": "A smart, witty follow-up.", "output": "positive" }, "25": { "input": "Dull, lifeless, and amateurishly assembled.", "output": "negative" }, "26": { "input": "More whiny downer than corruscating commentary.", "output": "negative" }, "27": { "input": "A very well-made, funny and entertaining picture.", "output": "positive" }, "28": { "input": "A movie with a real anarchic flair.", "output": "positive" }, "29": { "input": "Rarely has so much money delivered so little entertainment.", "output": "negative" }, "30": { "input": "A wildly inconsistent emotional experience.", "output": "negative" }, "31": { "input": "It has all the excitement of eating oatmeal.", "output": "negative" }, "32": { "input": "Coughs and sputters on its own postmodern conceit.", "output": "negative" }, "33": { "input": "One of the most significant moviegoing pleasures of the year.", "output": "positive" }, "34": { "input": "Verbinski implements every hack-artist trick to give us the ooky-spookies.", "output": "negative" }, "35": { "input": "Funny but perilously slight.", "output": "positive" }, "36": { "input": "I just loved every minute of this film.", "output": "positive" }, "37": { "input": "One long string of cliches.", "output": "negative" }, "38": { "input": "I'm just too bored to care.", "output": "negative" }, "39": { "input": "Reggio's continual visual barrage is absorbing as well as thought-provoking.", "output": "positive" }, "40": { "input": "A gorgeous, witty, seductive movie.", "output": "positive" }, "41": { "input": "As unseemly as its title suggests.", "output": "positive" }, "42": { "input": "A marvel like none you've seen.", "output": "positive" }, "43": { "input": "So much facile technique, such cute ideas, so little movie.", "output": "positive" }, "44": { "input": "Just as moving, uplifting and funny as ever.", "output": "positive" }, "45": { "input": "Directed in a paint-by-numbers manner.", "output": "negative" }, "46": { "input": "At once half-baked and overheated.", "output": "negative" }, "47": { "input": "Complete lack of originality, cleverness or even visible effort", "output": "negative" }, "48": { "input": "Nervous breakdowns are not entertaining.", "output": "negative" }, "49": { "input": "Slick piece of cross-promotion.", "output": "positive" }, "50": { "input": "Plays like a volatile and overlong W magazine fashion spread.", "output": "negative" }, "51": { "input": "Collateral Damage finally delivers the goods for Schwarzenegger fans.", "output": "positive" }, "52": { "input": "A warm but realistic meditation on friendship, family and affection.", "output": "positive" }, "53": { "input": "Beautifully observed, miraculously unsentimental comedy-drama.", "output": "positive" }, "54": { "input": "There's not enough here to justify the almost two hours.", "output": "negative" }, "55": { "input": "A sometimes tedious film.", "output": "negative" }, "56": { "input": "The piquant story needs more dramatic meat on its bones.", "output": "negative" }, "57": { "input": "The Cold Turkey would've been a far better title.", "output": "negative" }, "58": { "input": "It's a charming and often affecting journey.", "output": "positive" }, "59": { "input": "The Wild Thornberrys Movie is a jolly surprise.", "output": "positive" }, "60": { "input": "A solid film...but more conscientious than it is truly stirring.", "output": "positive" }, "61": { "input": "Teen movies have really hit the skids.", "output": "negative" }, "62": { "input": "A painfully funny ode to bad behavior.", "output": "positive" }, "63": { "input": "Will amuse and provoke adventurous adults in specialty venues.", "output": "positive" }, "64": { "input": "A sequence of ridiculous shoot-'em-up scenes.", "output": "negative" }, "65": { "input": "It's made with deftly unsettling genre flair.", "output": "positive" }, "66": { "input": "As vulgar as it is banal.", "output": "negative" }, "67": { "input": "A solid examination of the male midlife crisis.", "output": "positive" }, "68": { "input": "It's a stunning lyrical work of considerable force and truth.", "output": "positive" }, "69": { "input": "It is amusing, and that's all it needs to be.", "output": "positive" }, "70": { "input": "Falls neatly into the category of Good Stupid Fun.", "output": "positive" }, "71": { "input": "This is so bad.", "output": "negative" }, "72": { "input": "... the movie is just a plain old monster.", "output": "negative" }, "73": { "input": "A warm, funny, engaging film.", "output": "positive" }, "74": { "input": "...a magnificent drama well worth tracking down.", "output": "positive" }, "75": { "input": "It's everything you don't go to the movies for.", "output": "negative" }, "76": { "input": "Jones ... does offer a brutal form of charisma.", "output": "positive" }, "77": { "input": "Enormously entertaining for moviegoers of any age.", "output": "positive" }, "78": { "input": "Too much of the humor falls flat.", "output": "negative" }, "79": { "input": "The lower your expectations, the more you'll enjoy it.", "output": "negative" }, "80": { "input": "Forced, familiar and thoroughly condescending.", "output": "negative" }, "81": { "input": "A sequel that's much too big for its britches.", "output": "negative" }, "82": { "input": "No way I can believe this load of junk.", "output": "negative" }, "83": { "input": "No telegraphing is too obvious or simplistic for this movie.", "output": "negative" }, "84": { "input": "Indifferently implausible popcorn programmer of a movie.", "output": "negative" }, "85": { "input": "Very psychoanalytical -- provocatively so -- and also refreshingly literary.", "output": "positive" }, "86": { "input": "Trite, banal, cliched, mostly inoffensive.", "output": "negative" }, "87": { "input": "Movie fans, get ready to take off...the other direction.", "output": "negative" }, "88": { "input": "The film is quiet, threatening and unforgettable.", "output": "positive" }, "89": { "input": "It proves quite compelling as an intense, brooding character study.", "output": "positive" }, "90": { "input": "Has all the depth of a wading pool.", "output": "negative" }, "91": { "input": "Nothing is sacred in this gut-buster.", "output": "negative" }, "92": { "input": "An entertaining, colorful, action-filled crime story with an intimate heart.", "output": "positive" }, "93": { "input": "Rarely has leukemia looked so shimmering and benign.", "output": "negative" }, "94": { "input": "Not exactly the Bees Knees", "output": "negative" }, "95": { "input": "One from the heart.", "output": "positive" }, "96": { "input": "It's dumb, but more importantly, it's just not scary.", "output": "negative" }, "97": { "input": "Chokes on its own depiction of upper-crust decorum.", "output": "negative" }, "98": { "input": "An unwise amalgam of Broadcast News and Vibes.", "output": "negative" }, "99": { "input": "Blanchett's performance confirms her power once again.", "output": "positive" }, "100": { "input": "Burns never really harnesses to full effect the energetic cast.", "output": "negative" } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/execute/singular_to_plural.json ================================================ { "metadata": { "num_examples": 100 }, "examples": { "1": { "input": "end", "output": "ends", "input_count": 45830 }, "2": { "input": "life", "output": "lives", "input_count": 39032 }, "3": { "input": "world", "output": "worlds", "input_count": 30418 }, "4": { "input": "match", "output": "matches", "input_count": 27928 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beetle, crocodile, bird", "words": [ "astronaut", "jam", "bird", "crocodile", "silver", "kangaroo", "beetle" ], "category_items": [ "kangaroo", "beetle", "crocodile", "bird" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 4, "num_others": 3 }, "96": { "input": "bear, silver, pilot, bird, kangaroo, crocodile, bicycle", "output": "kangaroo, crocodile, bear, bird", "words": [ "bear", "silver", "pilot", "bird", "kangaroo", "crocodile", "bicycle" ], "category_items": [ "kangaroo", "crocodile", "bear", "bird" ], "other_categories": [ "profession", "color", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "97": { "input": "crocodile, bike, bicycle, bear, dog, singer", "output": "crocodile, bear, dog", "words": [ "crocodile", "bike", "bicycle", "bear", "dog", "singer" ], "category_items": [ "crocodile", "bear", "dog" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "98": { "input": "bird, shorts, crocodile, kangaroo, bear, bike, noodles", "output": "bear, bird, crocodile, kangaroo", "words": [ "bird", "shorts", "crocodile", "kangaroo", "bear", "bike", "noodles" ], "category_items": [ "bear", "bird", "crocodile", "kangaroo" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "99": { "input": "singer, eagle, cow, kangaroo, coat, beetle, bike", "output": "beetle, cow, kangaroo, eagle", "words": [ "singer", "eagle", "cow", "kangaroo", "coat", "beetle", "bike" ], "category_items": [ "beetle", "cow", "kangaroo", "eagle" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "100": { "input": "boots, shorts, dog, bicycle, bird, bear", "output": "dog, bear, bird", "words": [ "boots", "shorts", "dog", "bicycle", "bird", "bear" ], "category_items": [ "dog", "bear", "bird" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/execute/translation_en-de.json ================================================ { "metadata": { "num_examples": 100 }, "examples": { "1": { "input": "place", "output": "Platz", "possible_translations": [ "Position", "plazieren", "Bude", "Stelle", "Ort", "Schlafplatz", "Sitzplatz", "Quartier", "Stehplatz", "for vehicles: Standplatz", "stellen", "Platz", "Sitz", "einordnen" ] }, "2": { "input": "family", "output": "Familie", "possible_translations": [ "Familie", "vom anderen Ufer sein" ] }, "3": { "input": "point", "output": "Punkt", "possible_translations": [ "Komma", "Peninsula", "Standpunkt", "Halbinsel", "Spitze", "Zeitpunkt", "Landzunge", "Punkt", "zeigen" ] }, "4": { "input": "east", "output": "Osten", "possible_translations": [ "Osten", "Ost" ] }, "5": { "input": "aircraft", "output": "Luftfahrzeug", "possible_translations": [ "Luftfahrzeug" ] }, "6": { "input": "title", "output": "Titel", "possible_translations": [ "Eigentumsnachweis", "Titel", "Eigentumsrecht" ] }, "7": { "input": "party", "output": "Partei", "possible_translations": [ "Partie", "Fest", "Partei", "Teilnehmer", "Teilnehmerin", "Party", "Feier", "Fete" ] }, "8": { "input": "victory", "output": "Sieg", "possible_translations": [ "Sieg" ] }, "9": { "input": "list", "output": "Liste", "possible_translations": [ "Liste", "Schlagseite", "aufzählen", "Krängung" ] }, "10": { "input": "cover", "output": "Deckung", "possible_translations": [ "Abdeckung", "decken", "Versteck", "Deckung", "bespringen", "besteigen", "behandeln", "Deckel", "Gedeck", "abdecken", "covern", "Deckung geben", "Überdeckung", "Decke" ] }, "11": { "input": "idea", "output": "Idee", "possible_translations": [ "Idee", "Ahnung" ] }, "12": { "input": "loss", "output": "Verlust", "possible_translations": [ "Verlust", "Niederlage" ] }, "13": { "input": "king", "output": "König", "possible_translations": [ "Dame", "König" ] }, "14": { "input": "staff", "output": "Belegschaft", "possible_translations": [ "Belegschaft", "Notenlinien", "Personal", "Stab" ] }, "15": { "input": "broadcast", "output": "Sendung", "possible_translations": [ "verbreiten", "Rundfunk", "Sendung", "Ausstrahlung", "senden", "Übertragung" ] }, "16": { "input": "trade", "output": "Handel", "possible_translations": [ "Passat", "Kommerz", "Tausch", "Facharbeiter", "Passatwind", "Handel", "Handwerk", "Geschäft" ] }, "17": { "input": "energy", "output": "Energie", "possible_translations": [ "Energie" ] }, "18": { "input": "peak", "output": "Gipfel", "possible_translations": [ "Gipfel", "Maximum" ] }, "19": { "input": "combat", "output": "Kampf", "possible_translations": [ "Schlacht", "Kampf" ] }, "20": { "input": "source", "output": "Quelle", "possible_translations": [ "Ursprung", "beziehen", "Quellkode", "Quelle", "belegen", "Quellcode" ] }, "21": { "input": "piece", "output": "Stück", "possible_translations": [ "Stück" ] }, "22": { "input": "plant", "output": "Pflanze", "possible_translations": [ "platzieren", "pflanzen", "Kombination", "Pflanze" ] }, "23": { "input": "ice", "output": "Eis", "possible_translations": [ "frieren", "einfrieren", "Eis" ] }, "24": { "input": "lot", "output": "Los", "possible_translations": [ "Parzelle", "Grund", "Haufen", "Grundstück", "Los", "Häuflein", "Anzahl", "Gruppe", "Schicksal", "Charge", "Menge" ] }, "25": { "input": "couple", "output": "Paar", "possible_translations": [ "Paar", "einige", "ein paar" ] }, "26": { "input": "boat", "output": "Boot", "possible_translations": [ "Boot", "Schiff" ] }, "27": { "input": "seat", "output": "Sitz", "possible_translations": [ "Sitz", "Sitzplatz" ] }, "28": { "input": "transport", "output": "Beförderung", "possible_translations": [ "befördern", "Beförderung", "transportieren" ] }, "29": { "input": "mouth", "output": "Mündung", "possible_translations": [ "Mündlein", "Mund", "Maul", "Mündung" ] }, "30": { "input": "iron", "output": "Eisen", "possible_translations": [ "eisern", "Eisen", "bügeln", "Bügeleisen" ] }, "31": { "input": "composition", "output": "Zusammenstellung", "possible_translations": [ "Komposition", "Zusammenstellung" ] }, "32": { "input": "forest", "output": "Wald", "possible_translations": [ "Hain", "Wald", "aufforsten", "Gehölz", "Forst" ] }, "33": { "input": "bird", "output": "Vogel", "possible_translations": [ "Braut", "Typ", "Perle", "Schnitte", "Vogel", "absitzen im Cafe Viereck", "Mieze" ] }, "34": { "input": "armor", "output": "Panzerung", "possible_translations": [ "Rüstung", "Panzerung", "Panzer", "Panzerkraftwagen" ] }, "35": { "input": "replacement", "output": "Ersatz", "possible_translations": [ "Ersatzspieler", "Ersatz" ] }, "36": { "input": "discovery", "output": "Entdeckung", "possible_translations": [ "Entdeckung" ] }, "37": { "input": "sale", "output": "Auktion", "possible_translations": [ "Verkauf", "Ausverkauf", "Auktion", "Schlussverkauf" ] }, "38": { "input": "chain", "output": "Kette", "possible_translations": [ "Kette", "ketten" ] }, "39": { "input": "designation", "output": "Benennung", "possible_translations": [ "Benennung" ] }, "40": { "input": "pace", "output": "Tempo", "possible_translations": [ "Tempo", "Geschwindigkeit", "Schritt", "Pass", "Passgang" ] }, "41": { "input": "pit", "output": "Box", "possible_translations": [ "Stein", "Loch", "Same", "Kern", "Box", "Grube" ] }, "42": { "input": "dress", "output": "Kleidung", "possible_translations": [ "sich anziehen", "ankleiden", "anziehen", "Kleid", "Kleidung", "kleiden" ] }, "43": { "input": "delay", "output": "Verzögerung", "possible_translations": [ "etwas verschieben", "sich verspäten", "Verzögerung" ] }, "44": { "input": "electricity", "output": "Strom", "possible_translations": [ "Elektrizität", "Strom" ] }, "45": { "input": "coup", "output": "Coup", "possible_translations": [ "Coup" ] }, "46": { "input": "improvement", "output": "Verbesserung", "possible_translations": [ "Verbesserung" ] }, "47": { "input": "victim", "output": "Opfer", "possible_translations": [ "Opfer" ] }, "48": { "input": "girlfriend", "output": "Freundin", "possible_translations": [ "Freundin", "Girlfriend" ] }, "49": { "input": "tension", "output": "Spannung", "possible_translations": [ "Spannung" ] }, "50": { "input": "patient", "output": "Patient", "possible_translations": [ "Patient", "geduldig" ] }, "51": { "input": "crest", "output": "Kamm", "possible_translations": [ "Krone", "Kamm", "Haube" ] }, "52": { "input": "consideration", "output": "Vergütung", "possible_translations": [ "Rücksicht", "Vergütung", "Erwägung", "Überlegung" ] }, "53": { "input": "autobiography", "output": "Autobiografie", "possible_translations": [ "Autobiografie" ] }, "54": { "input": "sum", "output": "Summe", "possible_translations": [ "Summe", "summieren" ] }, "55": { "input": "procedure", "output": "Prozedur", "possible_translations": [ "Prozedur", "Vorgehensweise", "Vorgehen", "Unterprogramm", "Prozedere" ] }, "56": { "input": "ceiling", "output": "Decke", "possible_translations": [ "Decke" ] }, "57": { "input": "coalition", "output": "Koalition", "possible_translations": [ "Koalition" ] }, "58": { "input": "essay", "output": "Versuch", "possible_translations": [ "Aufsatz", "Essay", "Versuch" ] }, "59": { "input": "goalkeeper", "output": "Torwart", "possible_translations": [ "Goali", "Schlussmann", "Torsteher", "Fliegenfängerin", "Keeper", "Torwartin", "Torwächterin", "Torsteherin", "Schlussfrau", "Keeperin", "Tormann", "Goalmann", "Torhüterin", "Torwächter", "Fliegenfänger", "Torhüter", "Torwart", "Torfrau", "Goalie", "Goalfrau" ] }, "60": { "input": "marble", "output": "Marmor", "possible_translations": [ "Murmel", "Marmor", "marmorieren" ] }, "61": { "input": "ballet", "output": "Ballett", "possible_translations": [ "Ballett" ] }, "62": { "input": "stunt", "output": "Stunt", "possible_translations": [ "Stunt" ] }, "63": { "input": "dragon", "output": "Drache", "possible_translations": [ "Drache", "Lindwurm", "Wurm", "Wyvern" ] }, "64": { "input": "soccer", "output": "Fußball", "possible_translations": [ "Fußball" ] }, "65": { "input": "biology", "output": "Biologie", "possible_translations": [ "Biologie" ] }, "66": { "input": "invention", "output": "Erfinden", "possible_translations": [ "Invention", "Erfinden", "Erfindung", "Einfallsreichtum" ] }, "67": { "input": "button", "output": "Taste", "possible_translations": [ "Taste", "Knopf", "Knospe" ] }, "68": { "input": "embassy", "output": "Botschaft", "possible_translations": [ "Botschaft" ] }, "69": { "input": "abbey", "output": "Klosterkirche", "possible_translations": [ "Abtei", "Klosterkirche" ] }, "70": { "input": "ankle", "output": "Knöchel", "possible_translations": [ "Fußknöchel", "Knöchel", "enkel" ] }, "71": { "input": "fog", "output": "Nebel", "possible_translations": [ "Nebel" ] }, "72": { "input": "suspicion", "output": "Verdacht", "possible_translations": [ "Argwohn", "Verdacht", "Verdächtigung" ] }, "73": { "input": "poison", "output": "Gift", "possible_translations": [ "Giftstoff", "Gift", "vergiften" ] }, "74": { "input": "integrity", "output": "Integrität", "possible_translations": [ "Integrität" ] }, "75": { "input": "treasure", "output": "Schatz", "possible_translations": [ "Schatz" ] }, "76": { "input": "vector", "output": "Vektor", "possible_translations": [ "Vektor" ] }, "77": { "input": "evaluation", "output": "Beurteilung", "possible_translations": [ "Beurteilung" ] }, "78": { "input": "premier", "output": "Ministerpräzident", "possible_translations": [ "Ministerpräzident" ] }, "79": { "input": "mock", "output": "Nachahmung", "possible_translations": [ "aufziehen", "Schein-", "nachahmen", "hochnehmen", "Nachahmung", "nachgemacht", "nachäffen" ] }, "80": { "input": "certificate", "output": "Zertifikat", "possible_translations": [ "Zertifikat" ] }, "81": { "input": "slate", "output": "Schiefergrau", "possible_translations": [ "planen", "Kandidatenliste", "verreissen", "schiefergrau", "Tafel", "vorsehen", "Liste", "Schiefergrau", "Schiefertafel", "Dachschiefer", "bestimmen", "ansetzen", "Schuldentafel", "Schiefer" ] }, "82": { "input": "coordination", "output": "Koordination", "possible_translations": [ "Koordinierung", "Koordination" ] }, "83": { "input": "mourning", "output": "Trauer", "possible_translations": [ "Trauer" ] }, "84": { "input": "confluence", "output": "Zusammenfluss", "possible_translations": [ "Zusammenfluss" ] }, "85": { "input": "fortification", "output": "Festung", "possible_translations": [ "Festung", "Fort", "Befestigen", "Festungsbau" ] }, "86": { "input": "slogan", "output": "Devise", "possible_translations": [ "Devise", "Losung", "Spruch ; Schlachtruf", "Parole", "Motto" ] }, "87": { "input": "authenticity", "output": "Authentizität", "possible_translations": [ "Authentizität" ] }, "88": { "input": "denial", "output": "Leugnung", "possible_translations": [ "Negierung", "Negation", "Verneinung", "Leugnung", "Dementi", "Verweigerung" ] }, "89": { "input": "haul", "output": "Lastbeförderung", "possible_translations": [ "Fang", "ziehen", "Gütertransport", "transportieren", "Fischzug", "schleppen", "Lastbeförderung", "befödern" ] }, "90": { "input": "attribute", "output": "Attribut", "possible_translations": [ "zuschreiben", "Attribut" ] }, "91": { "input": "bunker", "output": "Bunker", "possible_translations": [ "Bunker" ] }, "92": { "input": "prostitute", "output": "Prostituierte", "possible_translations": [ "prostituieren", "sich prostituieren", "Hure", "Prostituierte", "Dirne" ] }, "93": { "input": "foliage", "output": "Blätter", "possible_translations": [ "Laub", "Blätter" ] }, "94": { "input": "perfection", "output": "Vollkommenheit", "possible_translations": [ "Vollkommenheit", "Perfektion" ] }, "95": { "input": "quartet", "output": "Quartett", "possible_translations": [ "Quartett" ] }, "96": { "input": "sailor", "output": "Matrose", "possible_translations": [ "Seemann", "Matrose" ] }, "97": { "input": "shootout", "output": "Schießerei", "possible_translations": [ "Schusswechsel", "Schießerei" ] }, "98": { "input": "jewellery", "output": "Schmuck", "possible_translations": [ "Juwelen", "Schmuck" ] }, "99": { "input": "objection", "output": "Beanstandung", "possible_translations": [ "Einspruch", "Beanstandung", "Widerspruch", "Einwand" ] }, "100": { "input": "casualty", "output": "Opfer", "possible_translations": [ "Opfer" ] } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/execute/translation_en-es.json ================================================ { "metadata": { "num_examples": 100 }, "examples": { "1": { "input": "place", "output": "lugar", "possible_translations": [ "asiento", "apostar", "casa", "colocar", "posición", "puesto", "entonar", "colocarse", "poner", "situar", "lugar", "contratar", "sitio", "clasificarse", "plaza" ] }, "2": { "input": "family", "output": "familia", "possible_translations": [ "familia", "familiar" ] }, "3": { "input": "point", "output": "punto", "possible_translations": [ "indicar", "momento", "punta", "punto", "apuntar" ] }, "4": { "input": "east", "output": "este", "possible_translations": [ "levante", "hacia oriente", "oriental", "hacia el este", "oriente", "rumbo al este", "al este", "este", "rumbo este", "oriente." ] }, "5": { "input": "aircraft", "output": "aeronave", "possible_translations": [ "aeronave" ] }, "6": { "input": "title", "output": "título", "possible_translations": [ "tutela", "título" ] }, "7": { "input": "party", "output": "partido", "possible_translations": [ "divertirse", "parte contratante", "carrete", "fiestar", "partido", "pachanga", "reventón", "fiesta" ] }, "8": { "input": "victory", "output": "victoria", "possible_translations": [ "victoria" ] }, "9": { "input": "list", "output": "tira", "possible_translations": [ "escora", "hacer una lista", "tira", "lista", "escorar", "leer una lista" ] }, "10": { "input": "evidence", "output": "evidencia", "possible_translations": [ "prueba", "evidencia", "evidenciar" ] }, "11": { "input": "brother", "output": "hermano", "possible_translations": [ "par", "hermano" ] }, "12": { "input": "novel", "output": "novela", "possible_translations": [ "novela", "novedoso", "novedosa" ] }, "13": { "input": "turn", "output": "turno", "possible_translations": [ "turno", "rebelar", "girar", "volver", "doblar" ] }, "14": { "input": "king", "output": "rey", "possible_translations": [ "rey", "coronar" ] }, "15": { "input": "staff", "output": "personal", "possible_translations": [ "empleado", "varas", "personal", "pentagrama", "equipo", "plantilla", "báculo", "pauta", "bastón" ] }, "16": { "input": "broadcast", "output": "programa", "possible_translations": [ "programa", "emisión" ] }, "17": { "input": "trade", "output": "comercio", "possible_translations": [ "comerciar", "comercio", "gremio" ] }, "18": { "input": "unit", "output": "unidad", "possible_translations": [ "unidad" ] }, "19": { "input": "letter", "output": "letra", "possible_translations": [ "carta", "letra", "carácter" ] }, "20": { "input": "morning", "output": "mañana", "possible_translations": [ "madrugada", "mañana", "AM" ] }, "21": { "input": "coach", "output": "coche", "possible_translations": [ "entrenadora", "vagón", "entrenar", "entrenador", "autocar", "coche" ] }, "22": { "input": "inch", "output": "pulgada", "possible_translations": [ "pulgada" ] }, "23": { "input": "invasion", "output": "invasión", "possible_translations": [ "invasión" ] }, "24": { "input": "sense", "output": "sentido", "possible_translations": [ "significación", "significado", "sentir", "sentido", "sensación", "acepción", "dar sentido" ] }, "25": { "input": "ice", "output": "hielo", "possible_translations": [ "helado", "congelar", "hielo" ] }, "26": { "input": "floor", "output": "palabra", "possible_translations": [ "palabra" ] }, "27": { "input": "boat", "output": "barca", "possible_translations": [ "barco", "bote", "barca" ] }, "28": { "input": "seat", "output": "asiento", "possible_translations": [ "asiento", "sede" ] }, "29": { "input": "transport", "output": "transporte", "possible_translations": [ "exiliar", "deportado", "transportar", "transporte" ] }, "30": { "input": "platform", "output": "plataforma", "possible_translations": [ "plataforma", "andén" ] }, "31": { "input": "environment", "output": "ambiente", "possible_translations": [ "sistema operativo", "ecosistema", "medio ambiente", "medio", "programa", "clima", "medioambiente", "naturaleza", "entorno", "ambiente" ] }, "32": { "input": "genre", "output": "género", "possible_translations": [ "género" ] }, "33": { "input": "combination", "output": "combinación", "possible_translations": [ "combinación" ] }, "34": { "input": "importance", "output": "importancia", "possible_translations": [ "importancia" ] }, "35": { "input": "department", "output": "departamento", "possible_translations": [ "sección", "departamento" ] }, "36": { "input": "assistance", "output": "asistencia", "possible_translations": [ "asistencia" ] }, "37": { "input": "anniversary", "output": "aniversario", "possible_translations": [ "aniversario" ] }, "38": { "input": "fighter", "output": "guerrero", "possible_translations": [ "caza", "combatiente", "guerrero" ] }, "39": { "input": "instance", "output": "instancia", "possible_translations": [ "caso", "instancia" ] }, "40": { "input": "occupation", "output": "ocupación", "possible_translations": [ "ocupación" ] }, "41": { "input": "satellite", "output": "satélite", "possible_translations": [ "satélite" ] }, "42": { "input": "strip", "output": "tira", "possible_translations": [ "remover", "tira", "sacarse la ropa", "desvestir" ] }, "43": { "input": "triple", "output": "triple", "possible_translations": [ "triple", "triplicar" ] }, "44": { "input": "duration", "output": "duración", "possible_translations": [ "duración" ] }, "45": { "input": "slavery", "output": "esclavitud", "possible_translations": [ "esclavitud" ] }, "46": { "input": "ticket", "output": "boleto", "possible_translations": [ "billete", "multa", "pasaje", "parte", "boleto", "tique", "tiquete", "entrada" ] }, "47": { "input": "confidence", "output": "confidencia", "possible_translations": [ "certeza propia", "certeza", "certidumbre", "confidencia" ] }, "48": { "input": "principle", "output": "principio", "possible_translations": [ "principio" ] }, "49": { "input": "tag", "output": "pilla pilla", "possible_translations": [ "etiquetar", "el pillarse", "etiqueta marbete", "pilla pilla" ] }, "50": { "input": "dinner", "output": "cena", "possible_translations": [ "cena" ] }, "51": { "input": "creature", "output": "criatura", "possible_translations": [ "criatura" ] }, "52": { "input": "propaganda", "output": "propaganda", "possible_translations": [ "propaganda" ] }, "53": { "input": "consciousness", "output": "conciencia", "possible_translations": [ "conciencia" ] }, "54": { "input": "priority", "output": "prioridad", "possible_translations": [ "prioridad" ] }, "55": { "input": "scientist", "output": "científico", "possible_translations": [ "científico" ] }, "56": { "input": "mood", "output": "mal humor", "possible_translations": [ "humor", "mal humor", "mal genio", "ánimos", "ánimo" ] }, "57": { "input": "eruption", "output": "erupción", "possible_translations": [ "erupción" ] }, "58": { "input": "diving", "output": "buceo", "possible_translations": [ "buceo", "submarinismo" ] }, "59": { "input": "notion", "output": "ganas", "possible_translations": [ "intención", "ganas", "noción" ] }, "60": { "input": "fever", "output": "fiebre", "possible_translations": [ "fiebre" ] }, "61": { "input": "kit", "output": "juego", "possible_translations": [ "juego", "kit", "equipo", "ensello" ] }, "62": { "input": "shipyard", "output": "astillero", "possible_translations": [ "astillero" ] }, "63": { "input": "deadline", "output": "fecha límite", "possible_translations": [ "compromiso", "fecha límite", "requisito" ] }, "64": { "input": "framework", "output": "infraestructura", "possible_translations": [ "marco", "infraestructura" ] }, "65": { "input": "client", "output": "cliente", "possible_translations": [ "cliente" ] }, "66": { "input": "drag", "output": "bocanada", "possible_translations": [ "arrastrar", "bocanada", "resistencia" ] }, "67": { "input": "membrane", "output": "membrana", "possible_translations": [ "membrana" ] }, "68": { "input": "profession", "output": "profesión", "possible_translations": [ "profesión" ] }, "69": { "input": "liberty", "output": "libertad", "possible_translations": [ "libertad" ] }, "70": { "input": "morality", "output": "moralidad", "possible_translations": [ "moralidad" ] }, "71": { "input": "equality", "output": "igualdad", "possible_translations": [ "equidad", "paridad", "igualdad" ] }, "72": { "input": "menu", "output": "menú", "possible_translations": [ "menú", "carta" ] }, "73": { "input": "autonomy", "output": "autonomía", "possible_translations": [ "autonomía" ] }, "74": { "input": "certification", "output": "certificación", "possible_translations": [ "certificación" ] }, "75": { "input": "conception", "output": "concepción", "possible_translations": [ "concepción" ] }, "76": { "input": "sympathy", "output": "compasión", "possible_translations": [ "empatía", "compasión" ] }, "77": { "input": "emission", "output": "emisión", "possible_translations": [ "emisión" ] }, "78": { "input": "clearance", "output": "despeje", "possible_translations": [ "oferta", "espacio", "limpieza", "barata", "permiso", "liquidación", "acceso", "claro", "remate", "ganga", "despeje", "compensación" ] }, "79": { "input": "belly", "output": "barriga", "possible_translations": [ "barriga", "panza", "vientre" ] }, "80": { "input": "innocence", "output": "inocencia", "possible_translations": [ "inocencia" ] }, "81": { "input": "expressway", "output": "autopista", "possible_translations": [ "autopista" ] }, "82": { "input": "enterprise", "output": "empresa", "possible_translations": [ "empuje", "emprendimiento", "empresa", "iniciativa" ] }, "83": { "input": "millennium", "output": "milenio", "possible_translations": [ "milenio" ] }, "84": { "input": "casino", "output": "casino", "possible_translations": [ "casino" ] }, "85": { "input": "relocation", "output": "mudanza", "possible_translations": [ "mudanza", "traslado" ] }, "86": { "input": "curse", "output": "maldición", "possible_translations": [ "maldición", "mala palabra", "regla", "maldecir", "menstruación" ] }, "87": { "input": "disguise", "output": "disfraz", "possible_translations": [ "pantalla", "disfrazar", "tapadera", "disfraz" ] }, "88": { "input": "lithium", "output": "litio", "possible_translations": [ "litio" ] }, "89": { "input": "gamma", "output": "gamma", "possible_translations": [ "gama", "gamma" ] }, "90": { "input": "thread", "output": "tema", "possible_translations": [ "subproceso", "argumento", "hilo", "pasar", "filete", "tema", "enhebrar", "rosca", "proceso ligero", "tópico" ] }, "91": { "input": "posture", "output": "postura", "possible_translations": [ "postura" ] }, "92": { "input": "echo", "output": "eco", "possible_translations": [ "eco", "repercutir", "repetir" ] }, "93": { "input": "vernacular", "output": "idioma", "possible_translations": [ "dialecto", "idioma", "vernáculo" ] }, "94": { "input": "builder", "output": "constructor", "possible_translations": [ "constructor civil", "constructor" ] }, "95": { "input": "chip", "output": "patata frita", "possible_translations": [ "ficha", "desconcharse", "papa frita", "desconchado", "patata frita", "astillar", "astilla", "desconchar", "chip" ] }, "96": { "input": "juice", "output": "zumo", "possible_translations": [ "zumo", "jugo" ] }, "97": { "input": "apple", "output": "manzana", "possible_translations": [ "manzana" ] }, "98": { "input": "casualty", "output": "baja", "possible_translations": [ "baja", "víctima" ] }, "99": { "input": "turf", "output": "césped", "possible_translations": [ "hipódromo", "césped" ] }, "100": { "input": "doctorate", "output": "doctorado", "possible_translations": [ "doctorado" ] } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/execute/translation_en-fr.json ================================================ { "metadata": { "num_examples": 100 }, "examples": { "1": { "input": "place", "output": "place", "possible_translations": [ "place", "se placer", "endroit", "poser", "faire", "arriver", "lieu", "mettre", "placer" ] }, "2": { "input": "family", "output": "famille", "possible_translations": [ "famille" ] }, "3": { "input": "point", "output": "point", "possible_translations": [ "case", "opinion", "avis", "indiquer", "aiguille", "aiguillage", "point", "instant", "pointe", "prise", "moment", "péninsule", "but", "flèche", "dixième", "pointer", "prise électrique", "point de vue", "objectif", "virgule" ] }, "4": { "input": "east", "output": "est", "possible_translations": [ "oriental", "orientale", "de l'est", "vers l 'est", "est", "à l'est" ] }, "5": { "input": "aircraft", "output": "aéronef", "possible_translations": [ "aéronef" ] }, "6": { "input": "title", "output": "titre", "possible_translations": [ "titre", "intitulé" ] }, "7": { "input": "party", "output": "détachement", "possible_translations": [ "détachement", "partie", "participant", "parti", "veiller", "fêter" ] }, "8": { "input": "victory", "output": "victoire", "possible_translations": [ "victoire" ] }, "9": { "input": "list", "output": "liste", "possible_translations": [ "liste", "lister" ] }, "10": { "input": "cover", "output": "couverture", "possible_translations": [ "reprendre", "couvercle", "couvrir", "couvert", "couverture" ] }, "11": { "input": "idea", "output": "idée", "possible_translations": [ "idée", "pensée" ] }, "12": { "input": "loss", "output": "perte", "possible_translations": [ "défaite", "perte" ] }, "13": { "input": "length", "output": "longueur", "possible_translations": [ "longueur" ] }, "14": { "input": "self", "output": "soi-même", "possible_translations": [ "soi-même" ] }, "15": { "input": "broadcast", "output": "émission", "possible_translations": [ "radiodiffuser", "émission", "diffuser" ] }, "16": { "input": "trade", "output": "métier", "possible_translations": [ "métier", "échanger", "commerce" ] }, "17": { "input": "energy", "output": "énergie", "possible_translations": [ "courage", "énergie" ] }, "18": { "input": "peak", "output": "cime", "possible_translations": [ "cime" ] }, "19": { "input": "market", "output": "marché", "possible_translations": [ "commercialiser", "du marché", "marché" ] }, "20": { "input": "quality", "output": "qualité", "possible_translations": [ "qualité", "de qualité" ] }, "21": { "input": "dance", "output": "danse", "possible_translations": [ "danse", "danser" ] }, "22": { "input": "county", "output": "comté", "possible_translations": [ "département", "comté" ] }, "23": { "input": "lot", "output": "bande", "possible_translations": [ "groupe", "bande", "ensemble", "destin" ] }, "24": { "input": "wing", "output": "aile", "possible_translations": [ "aile", "ailier" ] }, "25": { "input": "camp", "output": "camp", "possible_translations": [ "bivouaquer", "camp", "camper" ] }, "26": { "input": "leadership", "output": "autorité", "possible_translations": [ "charisme", "leadership", "autorité" ] }, "27": { "input": "split", "output": "grand écart ; to do the splits: faire le grand écart", "possible_translations": [ "diviser", "répartir", "fendre", "séparer", "scinder", "grand écart ; to do the splits: faire le grand écart" ] }, "28": { "input": "leg", "output": "jambe", "possible_translations": [ "jambe" ] }, "29": { "input": "crowd", "output": "monceau", "possible_translations": [ "foule", "monceau" ] }, "30": { "input": "knowledge", "output": "connaissance", "possible_translations": [ "science", "savoir", "connaissances", "connaissance" ] }, "31": { "input": "statement", "output": "déclaration", "possible_translations": [ "déclaration", "instruction", "relevé" ] }, "32": { "input": "campus", "output": "campus", "possible_translations": [ "campus" ] }, "33": { "input": "entry", "output": "entrée", "possible_translations": [ "coefficient", "article", "entrée", "accès", "vestibule", "enregistrement", "rubrique", "élément" ] }, "34": { "input": "circulation", "output": "circulation", "possible_translations": [ "circulation" ] }, "35": { "input": "atmosphere", "output": "atmosphère", "possible_translations": [ "atmosphère", "ambiance" ] }, "36": { "input": "praise", "output": "louange", "possible_translations": [ "louer", "féliciter", "louange", "prôner" ] }, "37": { "input": "throne", "output": "trône", "possible_translations": [ "trône" ] }, "38": { "input": "dialogue", "output": "dialogue", "possible_translations": [ "dialoguer", "conversation", "dialogue" ] }, "39": { "input": "surprise", "output": "surprise", "possible_translations": [ "étonner", "surprendre", "surprise" ] }, "40": { "input": "agency", "output": "agence", "possible_translations": [ "organisme", "action", "agence" ] }, "41": { "input": "delivery", "output": "accouchement", "possible_translations": [ "administration", "naissance", "parturition", "accouchement", "livraison" ] }, "42": { "input": "elevation", "output": "élévation", "possible_translations": [ "élévation" ] }, "43": { "input": "jury", "output": "jury", "possible_translations": [ "jury" ] }, "44": { "input": "friendship", "output": "amitié", "possible_translations": [ "amitié" ] }, "45": { "input": "uncle", "output": "oncle", "possible_translations": [ "tonton", "oncle" ] }, "46": { "input": "touch", "output": "toucher", "possible_translations": [ "toucher" ] }, "47": { "input": "worship", "output": "culte", "possible_translations": [ "adorer", "vénérer", "culte", "adoration", "vénération" ] }, "48": { "input": "sculpture", "output": "sculpture", "possible_translations": [ "sculpture" ] }, "49": { "input": "holiday", "output": "jour férié", "possible_translations": [ "vacances", "fête", "vacance", "jour férié", "congé" ] }, "50": { "input": "resignation", "output": "démission", "possible_translations": [ "démission", "résignation" ] }, "51": { "input": "expert", "output": "expert", "possible_translations": [ "expert" ] }, "52": { "input": "punishment", "output": "punition", "possible_translations": [ "punition", "châtiment" ] }, "53": { "input": "custom", "output": "coutume", "possible_translations": [ "droit de douane", "us", "coutume", "connaissance" ] }, "54": { "input": "switch", "output": "commutateur", "possible_translations": [ "badine", "commuter", "échanger", "fouetter", "interrupteur", "changer", "commutateur" ] }, "55": { "input": "spite", "output": "dépit", "possible_translations": [ "dépit", "rancune" ] }, "56": { "input": "acceptance", "output": "acceptation", "possible_translations": [ "acceptation" ] }, "57": { "input": "photograph", "output": "photographie", "possible_translations": [ "photo", "photographier", "photographie" ] }, "58": { "input": "upgrade", "output": "mise à niveau", "possible_translations": [ "mise à niveau" ] }, "59": { "input": "genius", "output": "génie", "possible_translations": [ "génie" ] }, "60": { "input": "torture", "output": "torture", "possible_translations": [ "torture", "torturer" ] }, "61": { "input": "triumph", "output": "triomphe", "possible_translations": [ "triomphe", "triompher" ] }, "62": { "input": "reflection", "output": "réflexion", "possible_translations": [ "réflexion", "reflet" ] }, "63": { "input": "hosting", "output": "hébergement", "possible_translations": [ "hébergement" ] }, "64": { "input": "invention", "output": "invention", "possible_translations": [ "invention" ] }, "65": { "input": "gasoline", "output": "essence", "possible_translations": [ "essence", "gas" ] }, "66": { "input": "boxing", "output": "boxe", "possible_translations": [ "boxe" ] }, "67": { "input": "striker", "output": "gréviste", "possible_translations": [ "gréviste" ] }, "68": { "input": "profession", "output": "profession", "possible_translations": [ "profession" ] }, "69": { "input": "superhero", "output": "super-héros", "possible_translations": [ "super-héros" ] }, "70": { "input": "visitor", "output": "invité", "possible_translations": [ "visiteur", "invitée", "invité", "visiteuse" ] }, "71": { "input": "rejection", "output": "refus", "possible_translations": [ "refus", "rejet" ] }, "72": { "input": "snake", "output": "furet", "possible_translations": [ "serpenter", "serpent", "furet" ] }, "73": { "input": "puzzle", "output": "puzzle", "possible_translations": [ "puzzle", "rendre perplexe", "devinette", "mystère", "énigme", "casse-tête", "jeu de patience" ] }, "74": { "input": "commissioner", "output": "commissaire", "possible_translations": [ "commissaire" ] }, "75": { "input": "tributary", "output": "affluent", "possible_translations": [ "affluent" ] }, "76": { "input": "zoo", "output": "zoo", "possible_translations": [ "zoo" ] }, "77": { "input": "overhaul", "output": "remise à neuf", "possible_translations": [ "remise à neuf" ] }, "78": { "input": "essence", "output": "essence", "possible_translations": [ "essence" ] }, "79": { "input": "dimension", "output": "dimension", "possible_translations": [ "dimensionner", "dimension" ] }, "80": { "input": "footballer", "output": "footballeur", "possible_translations": [ "footballeuse", "footballeur" ] }, "81": { "input": "draught", "output": "à la pression", "possible_translations": [ "courant d'air", "gorgée", "à la pression" ] }, "82": { "input": "dealer", "output": "dealer", "possible_translations": [ "dealer" ] }, "83": { "input": "impedance", "output": "impédance", "possible_translations": [ "impédance" ] }, "84": { "input": "disruption", "output": "interruption", "possible_translations": [ "perturbation", "interruption" ] }, "85": { "input": "flu", "output": "grippe", "possible_translations": [ "grippe" ] }, "86": { "input": "crack", "output": "fissure", "possible_translations": [ "crack", "casser", "craquer", "fissure", "craquement", "plaisanterie" ] }, "87": { "input": "denial", "output": "négation", "possible_translations": [ "déni", "refus", "dénégation", "négation" ] }, "88": { "input": "fluoride", "output": "fluorure", "possible_translations": [ "fluorure" ] }, "89": { "input": "attribute", "output": "attribut", "possible_translations": [ "depending on which class it belongs", "attribuer", "épithète or déterminant", "attribut" ] }, "90": { "input": "documentation", "output": "documentation", "possible_translations": [ "documentation" ] }, "91": { "input": "prostitute", "output": "prostitué", "possible_translations": [ "prostituée", "se prostituer", "fille des rues", "fille de joie", "prostitué" ] }, "92": { "input": "foliage", "output": "feuillage", "possible_translations": [ "feuillage" ] }, "93": { "input": "repetition", "output": "répétition", "possible_translations": [ "répétition" ] }, "94": { "input": "modeling", "output": "modelage", "possible_translations": [ "mannequinat", "modélisation", "modelage" ] }, "95": { "input": "resentment", "output": "ressentiment", "possible_translations": [ "agacement", "rancune", "ressentiment" ] }, "96": { "input": "sermon", "output": "sermon", "possible_translations": [ "prêche", "sermon" ] }, "97": { "input": "pollen", "output": "pollen", "possible_translations": [ "pollen" ] }, "98": { "input": "superintendent", "output": "surintendant", "possible_translations": [ "surintendant" ] }, "99": { "input": "pastor", "output": "pasteur", "possible_translations": [ "pasteur" ] }, "100": { "input": "venom", "output": "venin", "possible_translations": [ "venin" ] } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/execute/word_in_context.json ================================================ { "metadata": { "num_examples": 100 }, "examples": { "1": { "input": "Sentence 1: Hyenas scavenge. Sentence 2: She scavenged the garbage cans for food. Word: scavenge", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2": { "input": "Sentence 1: There are three synagogues in the Jewish section. Sentence 2: Sections from the left ventricle showed diseased tissue. Word: section", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3": { "input": "Sentence 1: She ordered some wine for the meal. Sentence 2: Wine is stronger than beer. Word: wine", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4": { "input": "Sentence 1: A thing of the spirit. Sentence 2: Things of the heart. Word: thing", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "5": { "input": "Sentence 1: He tripled to the rightfield corner. Sentence 2: The southeastern corner of the Mediterranean. Word: corner", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "6": { "input": "Sentence 1: Belabor the obvious. Sentence 2: She was belabored by her fellow students. Word: belabor", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "7": { "input": "Sentence 1: Be careful crossing the street. Sentence 2: The whole street protested the absence of lights. Word: street", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "8": { "input": "Sentence 1: Youth everywhere rises in revolt. Sentence 2: Her youth and beauty is what attracted him to her. Word: youth", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "9": { "input": "Sentence 1: Engrave a letter. Sentence 2: Engrave a pen. Word: engrave", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "10": { "input": "Sentence 1: To command an army or a ship. Sentence 2: Command the military forces. Word: command", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "11": { "input": "Sentence 1: The invaders spread their language all over the country. Sentence 2: A big oil spot spread across the water. Word: spread", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "12": { "input": "Sentence 1: Tap a keg of beer. Sentence 2: Tap a maple tree for its syrup. Word: tap", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "13": { "input": "Sentence 1: Flood the market with tennis shoes. Sentence 2: The swollen river flooded the village. Word: flood", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "14": { "input": "Sentence 1: English is a cognate of Greek, German, Russian and Persian. Sentence 2: English and, Russian, Icelandic and Irish are all cognates. Word: cognate", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "15": { "input": "Sentence 1: His success in the marathon was unexpected. Sentence 2: The election was a remarkable success for the Whigs. Word: success", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "16": { "input": "Sentence 1: The relief pitcher got credit for a save. Sentence 2: The goalie made a brilliant save. Word: save", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "17": { "input": "Sentence 1: The stick does not bend. Sentence 2: Bend your knees. Word: bend", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "18": { "input": "Sentence 1: Heel a golf ball. Sentence 2: Heel that dance. Word: heel", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "19": { "input": "Sentence 1: The whole body filed out of the auditorium. Sentence 2: The student body. Word: body", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "20": { "input": "Sentence 1: Indent the documents. Sentence 2: Indent the paragraphs of a letter. Word: indent", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "21": { "input": "Sentence 1: Direct your anger towards others, not towards yourself. Sentence 2: He directed all his energies into his dissertation. Word: direct", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "22": { "input": "Sentence 1: She wanted to aim a pun. Sentence 2: He aimed his fists towards his opponent's face. Word: aim", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "23": { "input": "Sentence 1: The aptness of men to follow example. Sentence 2: The aptness of iron to rust. Word: aptness", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "24": { "input": "Sentence 1: The embodiment of hope. Sentence 2: A circle was the embodiment of his concept of life. Word: embodiment", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "25": { "input": "Sentence 1: In the middle of the marathon, David collapsed from fatigue. Sentence 2: Rain during the middle of April. Word: middle", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "26": { "input": "Sentence 1: They gave full play to the artist's talent. Sentence 2: It was all done in play. Word: play", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "27": { "input": "Sentence 1: Rise to the occasion. Sentence 2: Her spirits rose when she heard the good news. Word: rise", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "28": { "input": "Sentence 1: I am trying to contact my sister. Sentence 2: He never contacted his children after he emigrated to Australia. Word: contact", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "29": { "input": "Sentence 1: There was an art exhibition on in the town hall. Sentence 2: A boat exhibition. Word: exhibition", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "30": { "input": "Sentence 1: I need him to be nice. Sentence 2: I needed him to go. Word: need", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "31": { "input": "Sentence 1: An assurance of help when needed. Sentence 2: His assurance in his superiority did not make him popular. Word: assurance", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "32": { "input": "Sentence 1: Fold up the newspaper. Sentence 2: Tony folded the flaps open. Word: fold", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "33": { "input": "Sentence 1: The engineer marvelled at his construction. Sentence 2: Construction is underway on the new bridge. Word: construction", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "34": { "input": "Sentence 1: Dip the brush into the paint. Sentence 2: She dipped her knee. Word: dip", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "35": { "input": "Sentence 1: The government must do its part. Sentence 2: Religions in all parts of the world. Word: part", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "36": { "input": "Sentence 1: This shall not relieve either Party of any obligations. Sentence 2: The thief relieved me of $100. Word: relieve", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "37": { "input": "Sentence 1: A string of islands. Sentence 2: The strings played superlatively well. Word: string", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "38": { "input": "Sentence 1: To moderate a synod. Sentence 2: John moderated the discussion. Word: moderate", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "39": { "input": "Sentence 1: Strike an arc. Sentence 2: The clock struck midnight. Word: strike", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "40": { "input": "Sentence 1: I promise you my best effort. Sentence 2: I promised somebody my time. Word: promise", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "41": { "input": "Sentence 1: All that bowing and scraping did not impress him. Sentence 2: They collected blood scrapings for analysis. Word: scraping", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "42": { "input": "Sentence 1: It was the deliberation of his act that was insulting. Sentence 2: The deliberations of the jury. Word: deliberation", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "43": { "input": "Sentence 1: He published an unexpected attack on my work. Sentence 2: An attack of diarrhea. Word: attack", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "44": { "input": "Sentence 1: Collapse the music stand. Sentence 2: The school system is collapsing. Word: collapse", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "45": { "input": "Sentence 1: An invasion of locusts. Sentence 2: An invasion of tourists. Word: invasion", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "46": { "input": "Sentence 1: Printing at higher resolution will cause a reduction in performance. Sentence 2: They never did achieve a final resolution of their differences. Word: resolution", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "47": { "input": "Sentence 1: Don't handle the merchandise. Sentence 2: About his altar, handling holy things -- John Milton. Word: handle", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "48": { "input": "Sentence 1: The operator couldn't get Kobe because of the earthquake. Sentence 2: I'll get this finished by lunchtime. Word: get", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "49": { "input": "Sentence 1: Circulate a rumor. Sentence 2: This letter is being circulated among the faculty. Word: circulate", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "50": { "input": "Sentence 1: Inject heroin. Sentence 2: He injected new life into the performance. Word: inject", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "51": { "input": "Sentence 1: Catalytic activity. Sentence 2: They avoided all recreational activity. Word: activity", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "52": { "input": "Sentence 1: Juvenile offenses often reflect an inadequacy in the parents. Sentence 2: The inadequacy of unemployment benefits. Word: inadequacy", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "53": { "input": "Sentence 1: Load a car. Sentence 2: Load the truck with hay. Word: load", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "54": { "input": "Sentence 1: I love French food. Sentence 2: I loved to write. Word: love", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "55": { "input": "Sentence 1: He used terror to make them confess. Sentence 2: He was the terror of the neighborhood. Word: terror", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "56": { "input": "Sentence 1: Bell cows. Sentence 2: Who will bell the cat? Word: bell", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "57": { "input": "Sentence 1: Students receive instruction in the arts and sciences. Sentence 2: Instruction will be provided on how to handle difficult customers. Word: instruction", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "58": { "input": "Sentence 1: The files will erase quickly. Sentence 2: The chalkboard erased easily. Word: erase", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "59": { "input": "Sentence 1: He beat his breast in anger. Sentence 2: The robin has a red breast. Word: breast", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "60": { "input": "Sentence 1: He got a bang on the head. Sentence 2: They got a great bang out of it. Word: bang", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "61": { "input": "Sentence 1: The plane's operation in high winds. Sentence 2: The power of its engine determines its operation. Word: operation", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "62": { "input": "Sentence 1: His work established a new department of literature. Sentence 2: Baking is not my department. Word: department", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "63": { "input": "Sentence 1: The child's acquisition of language. Sentence 2: That graphite tennis racquet is quite an acquisition. Word: acquisition", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "64": { "input": "Sentence 1: A branch of Congress. Sentence 2: We have branches in all major suburbs. Word: branch", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "65": { "input": "Sentence 1: The publisher wants to distribute the book in Asia. Sentence 2: The function distributes the values evenly. Word: distribute", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "66": { "input": "Sentence 1: Make a break for it. Sentence 2: He finally got his big break. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "67": { "input": "Sentence 1: She can not conceive. Sentence 2: Assisted procreation can help those trying to conceive. Word: conceive", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "68": { "input": "Sentence 1: Pioneers had to cross the continent on foot. Sentence 2: There are seven continents. Word: continent", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "69": { "input": "Sentence 1: The woman charged that her jailer was a fondler. Sentence 2: Not all fondlers are sexual perverts. Word: fondler", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "70": { "input": "Sentence 1: Injustice is a heinous wrong. Sentence 2: He feels that you are in the wrong. Word: wrong", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "71": { "input": "Sentence 1: Lie down on the bed until you feel better. Sentence 2: She lied when she told me she was only 29. Word: lie", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "72": { "input": "Sentence 1: A look of triumph. Sentence 2: His look was fixed on her eyes. Word: look", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "73": { "input": "Sentence 1: A profession of disagreement. Sentence 2: My father was a barrister by profession. Word: profession", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "74": { "input": "Sentence 1: There's too much shadiness to take good photographs. Sentence 2: The shadiness of their transactions. Word: shadiness", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "75": { "input": "Sentence 1: The breeze rustled the papers on her desk. Sentence 2: The breeze was cooled by the lake. Word: breeze", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "76": { "input": "Sentence 1: He made a great maneuver. Sentence 2: Parallel parking can be a difficult maneuver. Word: maneuver", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "77": { "input": "Sentence 1: State your name. Sentence 2: State your opinion. Word: state", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "78": { "input": "Sentence 1: Glaze the bread with eggwhite. Sentence 2: The potter glazed the dishes. Word: glaze", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "79": { "input": "Sentence 1: The last bastion of communism. Sentence 2: A bastion against corruption. Word: bastion", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "80": { "input": "Sentence 1: Force socialization rarely creates strong friendships, but there are exceptions. Sentence 2: There was too much socialization with the enlisted men. Word: socialization", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "81": { "input": "Sentence 1: The locks pound the water of the canal. Sentence 2: Pound the roots with a heavy flat stone. Word: pound", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "82": { "input": "Sentence 1: Grind lenses for glasses and cameras. Sentence 2: Grind an axe. Word: grind", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "83": { "input": "Sentence 1: For recreation he wrote poetry and solved crossword puzzles. Sentence 2: Drug abuse is often regarded as a form of recreation. Word: recreation", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "84": { "input": "Sentence 1: He's my best mate. Sentence 2: I'm going to the pub with a few mates. Word: mate", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "85": { "input": "Sentence 1: The assembly plant is an enormous facility. Sentence 2: Educational facilities. Word: facility", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "86": { "input": "Sentence 1: The book tells the story of two roommates. Sentence 2: Disney's stories entertain adults as well as children. Word: story", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "87": { "input": "Sentence 1: His claim to the property has come under question. Sentence 2: He obeyed without question. Word: question", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "88": { "input": "Sentence 1: Students making aliyah. Sentence 2: He was called on for an aliyah. Word: aliyah", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "89": { "input": "Sentence 1: These shoes cost $100. Sentence 2: The bill will cost them 500 million dollars. Word: cost", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "90": { "input": "Sentence 1: Let's eliminate the course on Akkadian hieroglyphics. Sentence 2: This possibility can be eliminated from our consideration. Word: eliminate", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "91": { "input": "Sentence 1: Post a warning at the dump. Sentence 2: The newspaper posted him in Timbuktu. Word: post", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "92": { "input": "Sentence 1: Pinnacle a pediment. Sentence 2: He did not want to be pinnacled. Word: pinnacle", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "93": { "input": "Sentence 1: Choke a carburetor. Sentence 2: This neckband is choking the cat. Word: choke", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "94": { "input": "Sentence 1: Threw down the gauntlet. Sentence 2: Took up the gauntlet. Word: gauntlet", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "95": { "input": "Sentence 1: They had to consult before arriving at a decision. Sentence 2: Consult your local broker. Word: consult", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "96": { "input": "Sentence 1: He put the cup back in the saucer. Sentence 2: The handle of the cup was missing. Word: cup", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "97": { "input": "Sentence 1: His treatment of the race question is badly biased. Sentence 2: His treatment of space borrows from Italian architecture. Word: treatment", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "98": { "input": "Sentence 1: Please bracket this remark. Sentence 2: Bracket bookshelves. Word: bracket", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "99": { "input": "Sentence 1: Violate the sanctity of the church. Sentence 2: This sentence violates the rules of syntax. Word: violate", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "100": { "input": "Sentence 1: I appreciate your efforts. Sentence 2: The yen appreciated again! Word: appreciate", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/execute/word_sorting.json ================================================ { "metadata": { "num_examples": 100 }, "examples": { "1": { "input": "\nList: walnut scoot jugoslavia retrorocket polyhedron\n", "output": "jugoslavia polyhedron retrorocket scoot walnut" }, "2": { "input": "\nList: delmarva sawfly aroma nod carcinogen parochial facetious designate syllabus rally\n", "output": "aroma carcinogen delmarva designate facetious nod parochial rally sawfly syllabus" }, "3": { "input": "\nList: statuette whiteface lauderdale encumber atonic specify olivia adipic neutrino antique catch persona athlete sovereignty\n", "output": "adipic antique athlete atonic catch encumber lauderdale neutrino olivia persona sovereignty specify statuette whiteface" }, "4": { "input": "\nList: crossbill bushland capacitive meager ricochet battery enigma wysiwyg wallet lipton jane wacke contingent\n", "output": "battery bushland capacitive contingent crossbill enigma jane lipton meager ricochet wacke wallet wysiwyg" }, "5": { "input": "\nList: confidential ursa fiction heterozygous faery overture horehound\n", "output": "confidential faery fiction heterozygous horehound overture ursa" }, "6": { "input": "\nList: inscribe upraise perceptive tragedian peculate cunard posterior crude danubian\n", "output": "crude cunard danubian inscribe peculate perceptive posterior tragedian upraise" }, "7": { "input": "\nList: hyperboloid buckle liquidate alkali nagasaki breach falsetto parmesan mirth\n", "output": "alkali breach buckle falsetto hyperboloid liquidate mirth nagasaki parmesan" }, "8": { "input": "\nList: them abdominal address fomalhaut pay optimal hanoverian yang berry tattoo islamabad swathe jordan bounty stearic stigmata involve effusive tornado\n", "output": "abdominal address berry bounty effusive fomalhaut hanoverian involve islamabad jordan optimal pay stearic stigmata swathe tattoo them tornado yang" }, "9": { "input": "\nList: acidify antagonism asteria\n", "output": "acidify antagonism asteria" }, "10": { "input": "\nList: intercept tamp geopolitic loci newsmen umber credit atmospheric lunge siren swart chess\n", "output": "atmospheric chess credit geopolitic intercept loci lunge newsmen siren swart tamp umber" }, "11": { "input": "\nList: infantrymen knob yaounde aqueous deregulate lysergic gala\n", "output": "aqueous deregulate gala infantrymen knob lysergic yaounde" }, "12": { "input": "\nList: chrysalis wallaby\n", "output": "chrysalis wallaby" }, "13": { "input": "\nList: inability nucleus vague possible invocable janice erg\n", "output": "erg inability invocable janice nucleus possible vague" }, "14": { "input": "\nList: dove rodriguez sonant monaco strap horticulture claret play paschal bizarre valuate colonist baden deplore\n", "output": "baden bizarre claret colonist deplore dove horticulture monaco paschal play rodriguez sonant strap valuate" }, "15": { "input": "\nList: gunman turbofan infarct\n", "output": "gunman infarct turbofan" }, "16": { "input": "\nList: bylaw denizen situ gerundive skill grit sight brunch experiential pantheist chummy gestation fledgling stepmother allemand entrepreneur oceanic\n", "output": "allemand brunch bylaw chummy denizen entrepreneur experiential fledgling gerundive gestation grit oceanic pantheist sight situ skill stepmother" }, "17": { "input": "\nList: bondsmen excretion silicosis snatch list dominic straight tulsa bestow diet roadside upkeep customhouse\n", "output": "bestow bondsmen customhouse diet dominic excretion list roadside silicosis snatch straight tulsa upkeep" }, "18": { "input": "\nList: shenandoah carla satiable beatrice weapon throughput ana hardboiled newlywed moines ttl\n", "output": "ana beatrice carla hardboiled moines newlywed satiable shenandoah throughput ttl weapon" }, "19": { "input": "\nList: piloerection davenport amateur golf hippopotamus afro stevedore platelet libretto mallow briggs wastrel offsaddle notch scorpion\n", "output": "afro amateur briggs davenport golf hippopotamus libretto mallow notch offsaddle piloerection platelet scorpion stevedore wastrel" }, "20": { "input": "\nList: tumultuous destiny kimono\n", "output": "destiny kimono tumultuous" }, "21": { "input": "\nList: inroad shrub irene bacillus are unique\n", "output": "are bacillus inroad irene shrub unique" }, "22": { "input": "\nList: brood abyssinia footstep irrawaddy animate kalmuk kneel acclimate goodrich deface heartfelt nutritious giantess\n", "output": "abyssinia acclimate animate brood deface footstep giantess goodrich heartfelt irrawaddy kalmuk kneel nutritious" }, "23": { "input": "\nList: medusa commandeer haiti coerce webb monster otter\n", "output": "coerce commandeer haiti medusa monster otter webb" }, "24": { "input": "\nList: lethargy notify afterglow cinnamon anyone morphine rosebud corinth branch jakarta by hungry wrist\n", "output": "afterglow anyone branch by cinnamon corinth hungry jakarta lethargy morphine notify rosebud wrist" }, "25": { "input": "\nList: plagiarism padre hiss versus permutation ridicule articulate showmen northumberland landowner valparaiso bootleg saskatoon liable corroborate shrinkage\n", "output": "articulate bootleg corroborate hiss landowner liable northumberland padre permutation plagiarism ridicule saskatoon showmen shrinkage valparaiso versus" }, "26": { "input": "\nList: neva aerie france workday quirt midterm importation tint turbidity chapman tipperary roy dielectric castrate yawl braun\n", "output": "aerie braun castrate chapman dielectric france importation midterm neva quirt roy tint tipperary turbidity workday yawl" }, "27": { "input": "\nList: loge luzon plankton boost backscatter written harm bonaparte profound aster needy alec\n", "output": "alec aster backscatter bonaparte boost harm loge luzon needy plankton profound written" }, "28": { "input": "\nList: seizure gannet kevin antonym woolgather stepson flintlock rangeland massif lindberg waterway rainy schottky superannuate furnace\n", "output": "antonym flintlock furnace gannet kevin lindberg massif rainy rangeland schottky seizure stepson superannuate waterway woolgather" }, "29": { "input": "\nList: foxhound postposition dyspeptic salerno enumerate dailey morose alleviate smirk thyroidal step gypsy fizzle immaterial appointe bronchiole they've clavicle finial\n", "output": "alleviate appointe bronchiole clavicle dailey dyspeptic enumerate finial fizzle foxhound gypsy immaterial morose postposition salerno smirk step they've thyroidal" }, "30": { "input": "\nList: keelson offensive refugee regulate hewn auction patchy garage rhodolite woe mockup felicia choppy childbearing inapplicable\n", "output": "auction childbearing choppy felicia garage hewn inapplicable keelson mockup offensive patchy refugee regulate rhodolite woe" }, "31": { "input": "\nList: electron amputate morphism tire scald lawmen putdown fishpond expositor yosemite gourmet transplant noon structure protagonist arab agree daisy delta eskimo\n", "output": "agree amputate arab daisy delta electron eskimo expositor fishpond gourmet lawmen morphism noon protagonist putdown scald structure tire transplant yosemite" }, "32": { "input": "\nList: deferring francine warburton euphony deliquesce warmup ballyhoo derisive hairdo implicit shady\n", "output": "ballyhoo deferring deliquesce derisive euphony francine hairdo implicit shady warburton warmup" }, "33": { "input": "\nList: eddy sabbath imperturbable\n", "output": "eddy imperturbable sabbath" }, "34": { "input": "\nList: chinamen alexis standstill binary hewitt stenotype fusillade ballroom ladyfern assurance aerodynamic diminution william gadget\n", "output": "aerodynamic alexis assurance ballroom binary chinamen diminution fusillade gadget hewitt ladyfern standstill stenotype william" }, "35": { "input": "\nList: kent orion townhouse\n", "output": "kent orion townhouse" }, "36": { "input": "\nList: mortise doe switch merchant appraise veldt pique osiris hour stevenson vast inalienable looseleaf pose immediate concession acidic berkelium scenic\n", "output": "acidic appraise berkelium concession doe hour immediate inalienable looseleaf merchant mortise osiris pique pose scenic stevenson switch vast veldt" }, "37": { "input": "\nList: act filamentous captious stearic bimolecular phipps class crosswise cowmen binocular hydroxy timon somebody hone\n", "output": "act bimolecular binocular captious class cowmen crosswise filamentous hone hydroxy phipps somebody stearic timon" }, "38": { "input": "\nList: leaden gimpy expelled laminate cashew gypsy\n", "output": "cashew expelled gimpy gypsy laminate leaden" }, "39": { "input": "\nList: face hullabaloo sown\n", "output": "face hullabaloo sown" }, "40": { "input": "\nList: thundershower doctoral purify jura casserole rna audit mustard grillwork el pessimum toolkit postmen gregory\n", "output": "audit casserole doctoral el gregory grillwork jura mustard pessimum postmen purify rna thundershower toolkit" }, "41": { "input": "\nList: critique muse adieu punish bootstrap boyce de dungeon sidereal howe instructor triplett candy soothe dixieland\n", "output": "adieu bootstrap boyce candy critique de dixieland dungeon howe instructor muse punish sidereal soothe triplett" }, "42": { "input": "\nList: tear christy ytterbium staphylococcus palazzi\n", "output": "christy palazzi staphylococcus tear ytterbium" }, "43": { "input": "\nList: caprice levee refractometer sprinkle headwall hockey he'll adolescent fossiliferous springy augusta surjection\n", "output": "adolescent augusta caprice fossiliferous he'll headwall hockey levee refractometer springy sprinkle surjection" }, "44": { "input": "\nList: prelude spinoff windup captious giantess peep incite myth vagrant injun judiciary natal einsteinian graze dozen\n", "output": "captious dozen einsteinian giantess graze incite injun judiciary myth natal peep prelude spinoff vagrant windup" }, "45": { "input": "\nList: crankshaft ak phenomenology insurrect enid barnstorm quality instrumentation whip travertine demodulate chest clap\n", "output": "ak barnstorm chest clap crankshaft demodulate enid instrumentation insurrect phenomenology quality travertine whip" }, "46": { "input": "\nList: pendulum inhumane causal bloke dromedary gad hump bribery scops opiate pendulous vicarious sidestepped tab amy descartes trellis biochemic holdup serum\n", "output": "amy biochemic bloke bribery causal descartes dromedary gad holdup hump inhumane opiate pendulous pendulum scops serum sidestepped tab trellis vicarious" }, "47": { "input": "\nList: christina pothole armenia us phenomena legible spheric baffle monaco birdseed captor macassar cress kernighan\n", "output": "armenia baffle birdseed captor christina cress kernighan legible macassar monaco phenomena pothole spheric us" }, "48": { "input": "\nList: concertmaster inhomogeneity neutral sebastian hoffman molal arc polarograph maladroit spacious glitter stanch swivel decompress muskrat\n", "output": "arc concertmaster decompress glitter hoffman inhomogeneity maladroit molal muskrat neutral polarograph sebastian spacious stanch swivel" }, "49": { "input": "\nList: lighten outlawry essential graham baseband twirly bore esquire hurd detestation credulous\n", "output": "baseband bore credulous detestation esquire essential graham hurd lighten outlawry twirly" }, "50": { "input": "\nList: polarogram lubricant strangulate cockle access should college polygyny befitting oscillate\n", "output": "access befitting cockle college lubricant oscillate polarogram polygyny should strangulate" }, "51": { "input": "\nList: coyote edwardine concessionaire parch chester hygroscopic magna granary repentant decontrolling taxonomy abner\n", "output": "abner chester concessionaire coyote decontrolling edwardine granary hygroscopic magna parch repentant taxonomy" }, "52": { "input": "\nList: wingman bad arkansas auditor nit advocate amende bourbon westernmost servitor phlox turbojet olivier crude extoller glut champ oblivious painstaking gang\n", "output": "advocate amende arkansas auditor bad bourbon champ crude extoller gang glut nit oblivious olivier painstaking phlox servitor turbojet westernmost wingman" }, "53": { "input": "\nList: tunis dodecahedral gunplay englishmen dimorphism nightcap somerville\n", "output": "dimorphism dodecahedral englishmen gunplay nightcap somerville tunis" }, "54": { "input": "\nList: two manatee albatross hobo cyprian host deuteron under dangerous isadore passage fetal onondaga torpedo\n", "output": "albatross cyprian dangerous deuteron fetal hobo host isadore manatee onondaga passage torpedo two under" }, "55": { "input": "\nList: cowbird resplendent glasswort adler brahms nurse mateo flannel necrosis transgressor vagina\n", "output": "adler brahms cowbird flannel glasswort mateo necrosis nurse resplendent transgressor vagina" }, "56": { "input": "\nList: cuttlefish notice mung kennan nucleotide mcclain cutover beagle freedman trypsin sapiens northrup symbiotic calabash face combinatoric\n", "output": "beagle calabash combinatoric cutover cuttlefish face freedman kennan mcclain mung northrup notice nucleotide sapiens symbiotic trypsin" }, "57": { "input": "\nList: teletypesetting gaslight trickster claustrophobia hampshire eskimo ladybug except lubricity dubious entire chapel\n", "output": "chapel claustrophobia dubious entire eskimo except gaslight hampshire ladybug lubricity teletypesetting trickster" }, "58": { "input": "\nList: abundant resuscitate bernardo shovel also melon greasy hermann experiment seminar hecatomb repellent\n", "output": "abundant also bernardo experiment greasy hecatomb hermann melon repellent resuscitate seminar shovel" }, "59": { "input": "\nList: marseilles gardner incest quiz bust jumble matrices dimension australia initial forage oenology bhoy o'er cardamom pixel\n", "output": "australia bhoy bust cardamom dimension forage gardner incest initial jumble marseilles matrices o'er oenology pixel quiz" }, "60": { "input": "\nList: step chemise wield dade downslope ladyfern culture furbish esther ontario loudspeaker hettie niobe riot velar linotype\n", "output": "chemise culture dade downslope esther furbish hettie ladyfern linotype loudspeaker niobe ontario riot step velar wield" }, "61": { "input": "\nList: lew upside incommensurable salutary earthworm trisodium terpsichorean salk creak thee assurance chink undulate narrow nietzsche monitor fidelity intricate glycerin\n", "output": "assurance chink creak earthworm fidelity glycerin incommensurable intricate lew monitor narrow nietzsche salk salutary terpsichorean thee trisodium undulate upside" }, "62": { "input": "\nList: dragonfly parmesan deify revive cbs varnish busywork rabin stanch samovar chubby burgeon glyceride cupidity marsha arrowroot ligature\n", "output": "arrowroot burgeon busywork cbs chubby cupidity deify dragonfly glyceride ligature marsha parmesan rabin revive samovar stanch varnish" }, "63": { "input": "\nList: comport troublesome downgrade lunatic furry\n", "output": "comport downgrade furry lunatic troublesome" }, "64": { "input": "\nList: leaden impromptu soapsud bismark hecate\n", "output": "bismark hecate impromptu leaden soapsud" }, "65": { "input": "\nList: totalitarian bromley corset extraterrestrial ceremony oviduct fum regime lazy holdover gam sarah yacht societe eigenstate schulz vomit\n", "output": "bromley ceremony corset eigenstate extraterrestrial fum gam holdover lazy oviduct regime sarah schulz societe totalitarian vomit yacht" }, "66": { "input": "\nList: amperage gallantry polyploidy awful wholesome sudden\n", "output": "amperage awful gallantry polyploidy sudden wholesome" }, "67": { "input": "\nList: theoretician choirmaster mcintosh snapback dodecahedron axiology\n", "output": "axiology choirmaster dodecahedron mcintosh snapback theoretician" }, "68": { "input": "\nList: insurrect grosvenor drench concubine middlemen laplace ababa brook allegory monetarism vagary dessert photo\n", "output": "ababa allegory brook concubine dessert drench grosvenor insurrect laplace middlemen monetarism photo vagary" }, "69": { "input": "\nList: onondaga dogmatic parasol\n", "output": "dogmatic onondaga parasol" }, "70": { "input": "\nList: carlisle cumulus billionth anaplasmosis jeffrey hardboard grateful genius metropolitan horny snail serviceberry alcoholic bipartite provident bucknell albeit\n", "output": "albeit alcoholic anaplasmosis billionth bipartite bucknell carlisle cumulus genius grateful hardboard horny jeffrey metropolitan provident serviceberry snail" }, "71": { "input": "\nList: maier concentrate orthophosphate philadelphia wilma castrate trivium sporty servomechanism wreathe vulpine stochastic mouthpart limpet epiphany paratroop vigilante configuration\n", "output": "castrate concentrate configuration epiphany limpet maier mouthpart orthophosphate paratroop philadelphia servomechanism sporty stochastic trivium vigilante vulpine wilma wreathe" }, "72": { "input": "\nList: flowchart deacon cocky osteopath gown minion aspirate policeman amplitude alum hasp lomb muskrat importunate\n", "output": "alum amplitude aspirate cocky deacon flowchart gown hasp importunate lomb minion muskrat osteopath policeman" }, "73": { "input": "\nList: champaign boycott\n", "output": "boycott champaign" }, "74": { "input": "\nList: gizmo paleolithic bowstring transept pint accouter urbana peer protuberant\n", "output": "accouter bowstring gizmo paleolithic peer pint protuberant transept urbana" }, "75": { "input": "\nList: hayfield canaveral rector doria hanley parallelogram etc stuart fame rivet zan mephistopheles splotchy grumpy halstead sargent djakarta\n", "output": "canaveral djakarta doria etc fame grumpy halstead hanley hayfield mephistopheles parallelogram rector rivet sargent splotchy stuart zan" }, "76": { "input": "\nList: polyploidy irresolution hinterland auto declarator canyon electric eject aforesaid screed\n", "output": "aforesaid auto canyon declarator eject electric hinterland irresolution polyploidy screed" }, "77": { "input": "\nList: loess illimitable mockery millie muslin macrophage cortex feudal corrector snick eavesdropping colt hippo\n", "output": "colt corrector cortex eavesdropping feudal hippo illimitable loess macrophage millie mockery muslin snick" }, "78": { "input": "\nList: leftward hurst ultimatum\n", "output": "hurst leftward ultimatum" }, "79": { "input": "\nList: bernice peephole desire bouffant antarctica cyclic escape subtlety incisor saxon mortuary warehouseman carp shield fiddle brussels pert alphanumeric medial\n", "output": "alphanumeric antarctica bernice bouffant brussels carp cyclic desire escape fiddle incisor medial mortuary peephole pert saxon shield subtlety warehouseman" }, "80": { "input": "\nList: petrel moisten\n", "output": "moisten petrel" }, "81": { "input": "\nList: indignation boxy coauthor glutamine adult pilewort dunkirk handlebar\n", "output": "adult boxy coauthor dunkirk glutamine handlebar indignation pilewort" }, "82": { "input": "\nList: hippy bray brockle tempestuous north motorcar crush crustacean triumphant morris tomahawk portal second\n", "output": "bray brockle crush crustacean hippy morris motorcar north portal second tempestuous tomahawk triumphant" }, "83": { "input": "\nList: vaccinate prolongate aide batch description neff\n", "output": "aide batch description neff prolongate vaccinate" }, "84": { "input": "\nList: hoarfrost soliton ostentatious upwind knack lawsuit hardwood ideolect alan aileron bolshoi bujumbura pointwise burn kristin hoboken infighting betrayal\n", "output": "aileron alan betrayal bolshoi bujumbura burn hardwood hoarfrost hoboken ideolect infighting knack kristin lawsuit ostentatious pointwise soliton upwind" }, "85": { "input": "\nList: devious querulous portfolio romantic glenda trailside balky room pilot deallocate hipster craze coda vault luzon fundamental poop wreathe barefoot\n", "output": "balky barefoot coda craze deallocate devious fundamental glenda hipster luzon pilot poop portfolio querulous romantic room trailside vault wreathe" }, "86": { "input": "\nList: prosecutor jacobian hydrothermal lord concertmaster circus avail both lifeguard haughty supersede rotenone comestible riparian spawn tiptoe nightgown\n", "output": "avail both circus comestible concertmaster haughty hydrothermal jacobian lifeguard lord nightgown prosecutor riparian rotenone spawn supersede tiptoe" }, "87": { "input": "\nList: anatomy fireboat sanskrit liggett zag despot accord infantile mad\n", "output": "accord anatomy despot fireboat infantile liggett mad sanskrit zag" }, "88": { "input": "\nList: tegucigalpa praline equate nature buckskin appearance heave traumatic sale deprecatory sieglinda\n", "output": "appearance buckskin deprecatory equate heave nature praline sale sieglinda tegucigalpa traumatic" }, "89": { "input": "\nList: coriolanus yaw proposal inroad template thespian behave deem grainy\n", "output": "behave coriolanus deem grainy inroad proposal template thespian yaw" }, "90": { "input": "\nList: stub cotangent twain insincere inane corey coquina tine scripture dearth vicissitude intercalate cerulean incommensurate becket horehound\n", "output": "becket cerulean coquina corey cotangent dearth horehound inane incommensurate insincere intercalate scripture stub tine twain vicissitude" }, "91": { "input": "\nList: flogging landis anagram trafficking delphic\n", "output": "anagram delphic flogging landis trafficking" }, "92": { "input": "\nList: rata haunch conference impartation subterfuge hack grantor tyler growl hem muslim indefensible carbonyl impeccable cheese mastermind mannitol anheuser\n", "output": "anheuser carbonyl cheese conference grantor growl hack haunch hem impartation impeccable indefensible mannitol mastermind muslim rata subterfuge tyler" }, "93": { "input": "\nList: turnpike corrigible hernia crony\n", "output": "corrigible crony hernia turnpike" }, "94": { "input": "\nList: knowledgeable camellia claus sebaceous apposite damage resorcinol\n", "output": "apposite camellia claus damage knowledgeable resorcinol sebaceous" }, "95": { "input": "\nList: everglade purcell self iodine percentage curricula doddering prokofieff caracas hague impetuous smokescreen of logician turk dynamic viva sixteenth\n", "output": "caracas curricula doddering dynamic everglade hague impetuous iodine logician of percentage prokofieff purcell self sixteenth smokescreen turk viva" }, "96": { "input": "\nList: farmland banach advent metro odometer zoo traversable walt rhinestone printmake bethesda radiochemistry eumenides\n", "output": "advent banach bethesda eumenides farmland metro odometer printmake radiochemistry rhinestone traversable walt zoo" }, "97": { "input": "\nList: irreconcilable din burch shipmate fantasy delectable configure fireboat pigment alum equate bellboy commensurable vesper configuration bandstop papa prothonotary\n", "output": "alum bandstop bellboy burch commensurable configuration configure delectable din equate fantasy fireboat irreconcilable papa pigment prothonotary shipmate vesper" }, "98": { "input": "\nList: phonetic motel adlerian dumb\n", "output": "adlerian dumb motel phonetic" }, "99": { "input": "\nList: proximate recipient runabout rudimentary texas headlight spent nerve portia trek glue hecatomb duly crumb catchy bluebonnet marksman herschel\n", "output": "bluebonnet catchy crumb duly glue headlight hecatomb herschel marksman nerve portia proximate recipient rudimentary runabout spent texas trek" }, "100": { "input": "\nList: stripe manage jackdaw seidel demarcate\n", "output": "demarcate jackdaw manage seidel stripe" } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/execute/word_unscrambling.json ================================================ { "metadata": { "num_examples": 100 }, "examples": { "1": { "input": "atornco", "output": "cartoon" }, "2": { "input": "pictloa", "output": "optical" }, "3": { "input": "morefr", "output": "former" }, "4": { "input": "tllongniwe", "output": "wellington" }, "5": { "input": "shesc", "output": "chess" }, "6": { "input": "wieevd", "output": "viewed" }, "7": { "input": "nesl", "output": "lens" }, "8": { "input": "libeb", "output": "bible" }, "9": { "input": "ecedjtre", "output": "rejected" }, "10": { "input": "oolb", "output": "bool" }, "11": { "input": "gssu", "output": "usgs" }, "12": { "input": "moesp", "output": "poems" }, "13": { "input": "atx", "output": "tax" }, "14": { "input": "sesevl", "output": "vessel" }, "15": { "input": "gdee", "output": "edge" }, "16": { "input": "druec", "output": "crude" }, "17": { "input": "eleftrc", "output": "reflect" }, "18": { "input": "iiregflnspd", "output": "springfield" }, "19": { "input": "arpt", "output": "part" }, "20": { "input": "utstibordir", "output": "distributor" }, "21": { "input": "lepyr", "output": "reply" }, "22": { "input": "thsongniwa", "output": "washington" }, "23": { "input": "aredgdre", "output": "regarded" }, "24": { "input": "cobtroe", "output": "october" }, "25": { "input": "qniuue", "output": "unique" }, "26": { "input": "aets", "output": "east" }, "27": { "input": "nkiss", "output": "skins" }, "28": { "input": "ganerr", "output": "ranger" }, "29": { "input": "onw", "output": "now" }, "30": { "input": "ecedftaf", "output": "affected" }, "31": { "input": "ffngaist", "output": "staffing" }, "32": { "input": "agitcrest", "output": "strategic" }, "33": { "input": "ieensg", "output": "seeing" }, "34": { "input": "isanktpa", "output": "pakistan" }, "35": { "input": "gtreidsrca", "output": "cartridges" }, "36": { "input": "eichevl", "output": "vehicle" }, "37": { "input": "lalys", "output": "sally" }, "38": { "input": "tageetsrci", "output": "cigarettes" }, "39": { "input": "enesvure", "output": "revenues" }, "40": { "input": "epmnemtlco", "output": "complement" }, "41": { "input": "vlieo", "output": "olive" }, "42": { "input": "miniganex", "output": "examining" }, "43": { "input": "cackkabtr", "output": "trackback" }, "44": { "input": "ieedlvbe", "output": "believed" }, "45": { "input": "ocygolyhps", "output": "psychology" }, "46": { "input": "weedsran", "output": "answered" }, "47": { "input": "ulusbofa", "output": "fabulous" }, "48": { "input": "rnarfeestrd", "output": "transferred" }, "49": { "input": "aeld", "output": "lead" }, "50": { "input": "renyh", "output": "henry" }, "51": { "input": "nuej", "output": "june" }, "52": { "input": "poedmsco", "output": "composed" }, "53": { "input": "enummtmo", "output": "momentum" }, "54": { "input": "sunest", "output": "sunset" }, "55": { "input": "aitplco", "output": "optical" }, "56": { "input": "mialrnte", "output": "terminal" }, "57": { "input": "aemrrk", "output": "marker" }, "58": { "input": "nocdmeemred", "output": "recommended" }, "59": { "input": "eelzanuve", "output": "venezuela" }, "60": { "input": "nblteiapr", "output": "printable" }, "61": { "input": "btanyiisitasul", "output": "sustainability" }, "62": { "input": "mraedel", "output": "emerald" }, "63": { "input": "rareyctse", "output": "secretary" }, "64": { "input": "cuiqear", "output": "acquire" }, "65": { "input": "iatnlo", "output": "latino" }, "66": { "input": "ootsf", "output": "fotos" }, "67": { "input": "pniinoo", "output": "opinion" }, "68": { "input": "iyccebl", "output": "bicycle" }, "69": { "input": "nadlswodo", "output": "downloads" }, "70": { "input": "dosm", "output": "mods" }, "71": { "input": "lsrinatopey", "output": "personality" }, "72": { "input": "bumami", "output": "mumbai" }, "73": { "input": "irazebt", "output": "bizrate" }, "74": { "input": "lheidbspu", "output": "published" }, "75": { "input": "louss", "output": "souls" }, "76": { "input": "eixdf", "output": "fixed" }, "77": { "input": "arptcieeapd", "output": "appreciated" }, "78": { "input": "jainnmbe", "output": "benjamin" }, "79": { "input": "liet", "output": "lite" }, "80": { "input": "tnli", "output": "intl" }, "81": { "input": "csntruetcod", "output": "constructed" }, "82": { "input": "disvdae", "output": "advised" }, "83": { "input": "teahh", "output": "heath" }, "84": { "input": "vriedn", "output": "driven" }, "85": { "input": "oeynbd", "output": "beyond" }, "86": { "input": "ncesahbr", "output": "branches" }, "87": { "input": "esnnstcicoy", "output": "consistency" }, "88": { "input": "esstas", "output": "assets" }, "89": { "input": "tarlpy", "output": "partly" }, "90": { "input": "oltesuab", "output": "absolute" }, "91": { "input": "usiteod", "output": "outside" }, "92": { "input": "uonsb", "output": "bonus" }, "93": { "input": "tatw", "output": "watt" }, "94": { "input": "sakt", "output": "task" }, "95": { "input": "oniigjn", "output": "joining" }, "96": { "input": "veayh", "output": "heavy" }, "97": { "input": "ibtshiex", "output": "exhibits" }, "98": { "input": "mmteoaro", "output": "roommate" }, "99": { "input": "texenl", "output": "nextel" }, "100": { "input": "averths", "output": "harvest" } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/induce/active_to_passive.json ================================================ { "metadata": { "num_examples": 900 }, "examples": { "1": { "input": "The tourist supported the authors.", "output": "The authors were supported by the tourist.", "template": "temp36" }, "2": { "input": "The athlete contacted the tourists.", "output": "The tourists were contacted by the athlete.", "template": "temp36" }, "3": { "input": "The judges believed the bankers.", "output": "The bankers were believed by the judges.", "template": "temp36" }, "4": { "input": "The president encouraged the actor.", "output": "The actor was encouraged by the president.", "template": "temp35" }, "5": { "input": "The lawyers believed the authors.", "output": "The authors were believed by the lawyers.", "template": "temp36" }, "6": { "input": "The senator advised the doctors.", "output": "The doctors were advised by the senator.", "template": "temp36" }, "7": { "input": "The authors advised the student.", "output": "The student was advised by the authors.", "template": "temp35" }, "8": { "input": "The secretaries believed the tourists.", "output": "The tourists were believed by the secretaries.", "template": "temp36" }, "9": { "input": "The tourists recommended the bankers.", "output": "The bankers were recommended by the tourists.", "template": "temp36" }, "10": { "input": "The student believed the professors.", "output": "The professors were believed by the student.", "template": "temp36" }, "11": { "input": "The tourist admired the managers.", "output": "The managers were admired by the tourist.", "template": "temp36" }, "12": { "input": "The tourist contacted the bankers.", "output": "The bankers were contacted by the tourist.", "template": "temp36" }, "13": { "input": "The president introduced the senators.", "output": "The senators were introduced by the president.", "template": "temp36" }, "14": { "input": "The senators advised the presidents.", "output": "The presidents were advised by the senators.", "template": "temp36" }, "15": { "input": "The banker contacted the professor.", "output": "The professor was contacted by the banker.", "template": "temp35" }, "16": { "input": "The lawyer thanked the presidents.", "output": "The presidents were thanked by the lawyer.", "template": "temp36" }, "17": { "input": "The students supported the lawyers.", "output": "The lawyers were supported by the students.", "template": "temp36" }, "18": { "input": "The managers recognized the author.", "output": "The author was recognized by the managers.", "template": "temp35" }, "19": { "input": "The athletes helped the managers.", "output": "The managers were helped by the athletes.", "template": "temp36" }, "20": { "input": "The judges stopped the lawyers.", "output": "The lawyers were stopped by the judges.", "template": "temp36" }, "21": { "input": "The president advised the artists.", "output": "The artists were advised by the president.", "template": "temp36" }, "22": { "input": "The doctor believed the scientists.", "output": "The scientists were believed by the doctor.", "template": "temp36" }, "23": { "input": "The secretary encouraged the lawyers.", "output": "The lawyers were encouraged by the secretary.", "template": "temp36" }, "24": { "input": "The senator avoided the bankers.", "output": "The bankers were avoided by the senator.", "template": "temp36" }, "25": { "input": "The tourist believed the doctor.", "output": "The doctor was believed by the tourist.", "template": "temp35" }, "26": { "input": "The students helped the authors.", "output": "The authors were helped by the students.", "template": "temp36" }, "27": { "input": "The artist thanked the lawyers.", "output": "The lawyers were thanked by the artist.", "template": "temp36" }, "28": { "input": "The presidents recommended the student.", "output": "The student was recommended by the presidents.", "template": "temp35" }, "29": { "input": "The athlete helped the artist.", "output": "The artist was helped by the athlete.", "template": "temp35" }, "30": { "input": "The judge stopped the lawyer.", "output": "The lawyer was stopped by the judge.", "template": "temp35" }, "31": { "input": "The senators advised the professors.", "output": "The professors were advised by the senators.", "template": "temp36" }, "32": { "input": "The artist introduced the scientist.", "output": "The scientist was introduced by the artist.", "template": "temp35" }, "33": { "input": "The scientist mentioned the judge.", "output": "The judge was mentioned by the scientist.", "template": "temp35" }, "34": { "input": "The senator avoided the tourists.", "output": "The tourists were avoided by the senator.", "template": "temp36" }, "35": { "input": "The senator supported the managers.", "output": "The managers were supported by the senator.", "template": "temp36" }, "36": { "input": "The lawyer recognized the senators.", "output": "The senators were recognized by the lawyer.", "template": "temp36" }, "37": { "input": "The professors helped the managers.", "output": "The managers were helped by the professors.", "template": "temp36" }, "38": { "input": "The lawyer supported the tourists.", "output": "The tourists were supported by the lawyer.", "template": "temp36" }, "39": { "input": "The artist advised the scientists.", "output": "The scientists were advised by the artist.", "template": "temp36" }, "40": { "input": "The secretary avoided the senator.", "output": "The senator was avoided by the secretary.", "template": "temp35" }, "41": { "input": "The tourists recognized the lawyer.", "output": "The lawyer was recognized by the tourists.", "template": "temp35" }, "42": { "input": "The professors advised the athlete.", "output": "The athlete was advised by the professors.", "template": "temp35" }, "43": { "input": "The tourists recommended the lawyer.", "output": "The lawyer was recommended by the tourists.", "template": "temp35" }, "44": { "input": "The athlete mentioned the scientist.", "output": "The scientist was mentioned by the athlete.", "template": "temp35" }, "45": { "input": "The judges supported the lawyer.", "output": "The lawyer was supported by the judges.", "template": "temp35" }, "46": { "input": "The scientist encouraged the authors.", "output": "The authors were encouraged by the scientist.", "template": "temp36" }, "47": { "input": "The author advised the judge.", "output": "The judge was advised by the author.", "template": "temp35" }, "48": { "input": "The secretaries supported the scientists.", "output": "The scientists were supported by the secretaries.", "template": "temp36" }, "49": { "input": "The student supported the professors.", "output": "The professors were supported by the student.", "template": "temp36" }, "50": { "input": "The banker introduced the athletes.", "output": "The athletes were introduced by the banker.", "template": "temp36" }, "51": { "input": "The doctors helped the professor.", "output": "The professor was helped by the doctors.", "template": "temp35" }, "52": { "input": "The student recommended the judges.", "output": "The judges were recommended by the student.", "template": "temp36" }, "53": { "input": "The artist advised the professor.", "output": "The professor was advised by the artist.", "template": "temp35" }, "54": { "input": "The secretaries advised the banker.", "output": "The banker was advised by the secretaries.", "template": "temp35" }, "55": { "input": "The banker advised the judge.", "output": "The judge was advised by the banker.", "template": "temp35" }, "56": { "input": "The managers introduced the scientist.", "output": "The scientist was introduced by the managers.", "template": "temp35" }, "57": { "input": "The authors contacted the secretaries.", "output": "The secretaries were contacted by the authors.", "template": "temp36" }, "58": { "input": "The actor stopped the bankers.", "output": "The bankers were stopped by the actor.", "template": "temp36" }, "59": { "input": "The doctor encouraged the scientist.", "output": "The scientist was encouraged by the doctor.", "template": "temp35" }, "60": { "input": "The senators introduced the banker.", "output": "The banker was introduced by the senators.", "template": "temp35" }, "61": { "input": "The authors stopped the lawyers.", "output": "The lawyers were stopped by the authors.", "template": "temp36" }, "62": { "input": "The managers introduced the bankers.", "output": "The bankers were introduced by the managers.", "template": "temp36" }, "63": { "input": "The scientist encouraged the doctors.", "output": "The doctors were encouraged by the scientist.", "template": "temp36" }, "64": { "input": "The lawyer contacted the students.", "output": "The students were contacted by the lawyer.", "template": "temp36" }, "65": { "input": "The professor mentioned the scientists.", "output": "The scientists were mentioned by the professor.", "template": "temp36" }, "66": { "input": "The judge recommended the lawyer.", "output": "The lawyer was recommended by the judge.", "template": "temp35" }, "67": { "input": "The professors believed the manager.", "output": "The manager was believed by the professors.", "template": "temp35" }, "68": { "input": "The bankers advised the scientist.", "output": "The scientist was advised by the bankers.", "template": "temp35" }, "69": { "input": "The author thanked the artist.", "output": "The artist was thanked by the author.", "template": "temp35" }, "70": { "input": "The artist helped the senators.", "output": "The senators were helped by the artist.", "template": "temp36" }, "71": { "input": "The lawyer avoided the secretaries.", "output": "The secretaries were avoided by the lawyer.", "template": "temp36" }, "72": { "input": "The doctor recognized the actors.", "output": "The actors were recognized by the doctor.", "template": "temp36" }, "73": { "input": "The presidents recognized the scientist.", "output": "The scientist was recognized by the presidents.", "template": "temp35" }, "74": { "input": "The athlete introduced the president.", "output": "The president was introduced by the athlete.", "template": "temp35" }, "75": { "input": "The tourists helped the doctors.", "output": "The doctors were helped by the tourists.", "template": "temp36" }, "76": { "input": "The manager introduced the president.", "output": "The president was introduced by the manager.", "template": "temp35" }, "77": { "input": "The manager recommended the authors.", "output": "The authors were recommended by the manager.", "template": "temp36" }, "78": { "input": "The scientists recognized the managers.", "output": "The managers were recognized by the scientists.", "template": "temp36" }, "79": { "input": "The scientist encouraged the banker.", "output": "The banker was encouraged by the scientist.", "template": "temp35" }, "80": { "input": "The doctors introduced the actor.", "output": "The actor was introduced by the doctors.", "template": "temp35" }, "81": { "input": "The doctors stopped the scientists.", "output": "The scientists were stopped by the doctors.", "template": "temp36" }, "82": { "input": "The secretary thanked the judges.", "output": "The judges were thanked by the secretary.", "template": "temp36" }, "83": { "input": "The athletes thanked the scientist.", "output": "The scientist was thanked by the athletes.", "template": "temp35" }, "84": { "input": "The bankers helped the lawyer.", "output": "The lawyer was helped by the bankers.", "template": "temp35" }, "85": { "input": "The athlete avoided the actor.", "output": "The actor was avoided by the athlete.", "template": "temp35" }, "86": { "input": "The judges encouraged the students.", "output": "The students were encouraged by the judges.", "template": "temp36" }, "87": { "input": "The scientist stopped the banker.", "output": "The banker was stopped by the scientist.", "template": "temp35" }, "88": { "input": "The senator mentioned the secretaries.", "output": "The secretaries were mentioned by the senator.", "template": "temp36" }, "89": { "input": "The managers mentioned the student.", "output": "The student was mentioned by the managers.", "template": "temp35" }, "90": { "input": "The presidents supported the senator.", "output": "The senator was supported by the presidents.", "template": "temp35" }, "91": { "input": "The scientists advised the professor.", "output": "The professor was advised by the scientists.", "template": "temp35" }, "92": { "input": "The actor encouraged the scientists.", "output": "The scientists were encouraged by the actor.", "template": "temp36" }, "93": { "input": "The actors stopped the manager.", "output": "The manager was stopped by the actors.", "template": "temp35" }, "94": { "input": "The tourists contacted the actors.", "output": "The actors were contacted by the tourists.", "template": "temp36" }, "95": { "input": "The actor recommended the professor.", "output": "The professor was recommended by the actor.", "template": "temp35" }, "96": { "input": "The manager mentioned the senators.", "output": "The senators were mentioned by the manager.", "template": "temp36" }, "97": { "input": "The bankers recommended the senators.", "output": "The senators were recommended by the bankers.", "template": "temp36" }, "98": { "input": "The manager helped the professors.", "output": "The professors were helped by the manager.", "template": "temp36" }, "99": { "input": "The president encouraged the professor.", "output": "The professor was encouraged by the president.", "template": "temp35" }, "100": { "input": "The scientist recommended the president.", "output": "The president was recommended by the scientist.", "template": "temp35" }, "101": { "input": "The secretary stopped the presidents.", "output": "The presidents were stopped by the secretary.", "template": "temp36" }, "102": { "input": "The author stopped the professor.", "output": "The professor was stopped by the author.", "template": "temp35" }, "103": { "input": "The judges admired the student.", "output": "The student was admired by the judges.", "template": "temp35" }, "104": { "input": "The doctors thanked the senator.", "output": "The senator was thanked by the doctors.", "template": "temp35" }, "105": { "input": "The manager recognized the doctors.", "output": "The doctors were recognized by the manager.", "template": "temp36" }, "106": { "input": "The athlete believed the managers.", "output": "The managers were believed by the athlete.", "template": "temp36" }, "107": { "input": "The president believed the professors.", "output": "The professors were believed by the president.", "template": "temp36" }, "108": { "input": "The student encouraged the professor.", "output": "The professor was encouraged by the student.", "template": "temp35" }, "109": { "input": "The president admired the lawyers.", "output": "The lawyers were admired by the president.", "template": "temp36" }, "110": { "input": "The athletes admired the students.", "output": "The students were admired by the athletes.", "template": "temp36" }, "111": { "input": "The secretaries introduced the doctor.", "output": "The doctor was introduced by the secretaries.", "template": "temp35" }, "112": { "input": "The scientists supported the athletes.", "output": "The athletes were supported by the scientists.", "template": "temp36" }, "113": { "input": "The actors encouraged the lawyers.", "output": "The lawyers were encouraged by the actors.", "template": "temp36" }, "114": { "input": "The secretaries encouraged the authors.", "output": "The authors were encouraged by the secretaries.", "template": "temp36" }, "115": { "input": "The judges introduced the banker.", "output": "The banker was introduced by the judges.", "template": "temp35" }, "116": { "input": "The secretary helped the tourist.", "output": "The tourist was helped by the secretary.", "template": "temp35" }, "117": { "input": "The manager recognized the secretaries.", "output": "The secretaries were recognized by the manager.", "template": "temp36" }, "118": { "input": "The tourist encouraged the banker.", "output": "The banker was encouraged by the tourist.", "template": "temp35" }, "119": { "input": "The artists thanked the athlete.", "output": "The athlete was thanked by the artists.", "template": "temp35" }, "120": { "input": "The banker avoided the secretaries.", "output": "The secretaries were avoided by the banker.", "template": "temp36" }, "121": { "input": "The artist stopped the athlete.", "output": "The athlete was stopped by the artist.", "template": "temp35" }, "122": { "input": "The judge recommended the scientists.", "output": "The scientists were recommended by the judge.", "template": "temp36" }, "123": { "input": "The author thanked the secretary.", "output": "The secretary was thanked by the author.", "template": "temp35" }, "124": { "input": "The doctor believed the artists.", "output": "The artists were believed by the doctor.", "template": "temp36" }, "125": { "input": "The lawyers mentioned the author.", "output": "The author was mentioned by the lawyers.", "template": "temp35" }, "126": { "input": "The students recognized the tourist.", "output": "The tourist was recognized by the students.", "template": "temp35" }, "127": { "input": "The doctor advised the athletes.", "output": "The athletes were advised by the doctor.", "template": "temp36" }, "128": { "input": "The athletes thanked the lawyer.", "output": "The lawyer was thanked by the athletes.", "template": "temp35" }, "129": { "input": "The lawyers supported the judge.", "output": "The judge was supported by the lawyers.", "template": "temp35" }, "130": { "input": "The scientist helped the presidents.", "output": "The presidents were helped by the scientist.", "template": "temp36" }, "131": { "input": "The doctor encouraged the judges.", "output": "The judges were encouraged by the doctor.", "template": "temp36" }, "132": { "input": "The doctor encouraged the lawyers.", "output": "The lawyers were encouraged by the doctor.", "template": "temp36" }, "133": { "input": "The senator contacted the actor.", "output": "The actor was contacted by the senator.", "template": "temp35" }, "134": { "input": "The secretary contacted the tourist.", "output": "The tourist was contacted by the secretary.", "template": "temp35" }, "135": { "input": "The judges helped the artists.", "output": "The artists were helped by the judges.", "template": "temp36" }, "136": { "input": "The professor thanked the tourists.", "output": "The tourists were thanked by the professor.", "template": "temp36" }, "137": { "input": "The manager thanked the president.", "output": "The president was thanked by the manager.", "template": "temp35" }, "138": { "input": "The banker avoided the doctors.", "output": "The doctors were avoided by the banker.", "template": "temp36" }, "139": { "input": "The judge recognized the senator.", "output": "The senator was recognized by the judge.", "template": "temp35" }, "140": { "input": "The doctor avoided the student.", "output": "The student was avoided by the doctor.", "template": "temp35" }, "141": { "input": "The artists thanked the scientist.", "output": "The scientist was thanked by the artists.", "template": "temp35" }, "142": { "input": "The doctors believed the banker.", "output": "The banker was believed by the doctors.", "template": "temp35" }, "143": { "input": "The managers contacted the scientist.", "output": "The scientist was contacted by the managers.", "template": "temp35" }, "144": { "input": "The actor advised the senator.", "output": "The senator was advised by the actor.", "template": "temp35" }, "145": { "input": "The professor advised the artists.", "output": "The artists were advised by the professor.", "template": "temp36" }, "146": { "input": "The lawyer thanked the athlete.", "output": "The athlete was thanked by the lawyer.", "template": "temp35" }, "147": { "input": "The judges avoided the secretaries.", "output": "The secretaries were avoided by the judges.", "template": "temp36" }, "148": { "input": "The students stopped the managers.", "output": "The managers were stopped by the students.", "template": "temp36" }, "149": { "input": "The bankers supported the author.", "output": "The author was supported by the bankers.", "template": "temp35" }, "150": { "input": "The doctors mentioned the artists.", "output": "The artists were mentioned by the doctors.", "template": "temp36" }, "151": { "input": "The secretaries introduced the doctors.", "output": "The doctors were introduced by the secretaries.", "template": "temp36" }, "152": { "input": "The actors stopped the athletes.", "output": "The athletes were stopped by the actors.", "template": "temp36" }, "153": { "input": "The author helped the manager.", "output": "The manager was helped by the author.", "template": "temp35" }, "154": { "input": "The managers stopped the doctor.", "output": "The doctor was stopped by the managers.", "template": "temp35" }, "155": { "input": "The doctors stopped the actor.", "output": "The actor was stopped by the doctors.", "template": "temp35" }, "156": { "input": "The professors contacted the actor.", "output": "The actor was contacted by the professors.", "template": "temp35" }, "157": { "input": "The manager recognized the lawyer.", "output": "The lawyer was recognized by the manager.", "template": "temp35" }, "158": { "input": "The scientist believed the author.", "output": "The author was believed by the scientist.", "template": "temp35" }, "159": { "input": "The artist recommended the student.", "output": "The student was recommended by the artist.", "template": "temp35" }, "160": { "input": "The professors encouraged the students.", "output": "The students were encouraged by the professors.", "template": "temp36" }, "161": { "input": "The doctors advised the actor.", "output": "The actor was advised by the doctors.", "template": "temp35" }, "162": { "input": "The president recognized the students.", "output": "The students were recognized by the president.", "template": "temp36" }, "163": { "input": "The judges mentioned the bankers.", "output": "The bankers were mentioned by the judges.", "template": "temp36" }, "164": { "input": "The tourist helped the actor.", "output": "The actor was helped by the tourist.", "template": "temp35" }, "165": { "input": "The managers stopped the actors.", "output": "The actors were stopped by the managers.", "template": "temp36" }, "166": { "input": "The athletes mentioned the tourist.", "output": "The tourist was mentioned by the athletes.", "template": "temp35" }, "167": { "input": "The lawyer supported the banker.", "output": "The banker was supported by the lawyer.", "template": "temp35" }, "168": { "input": "The tourist believed the athlete.", "output": "The athlete was believed by the tourist.", "template": "temp35" }, "169": { "input": "The senators mentioned the artists.", "output": "The artists were mentioned by the senators.", "template": "temp36" }, "170": { "input": "The judges admired the actors.", "output": "The actors were admired by the judges.", "template": "temp36" }, "171": { "input": "The authors recognized the banker.", "output": "The banker was recognized by the authors.", "template": "temp35" }, "172": { "input": "The lawyer supported the athletes.", "output": "The athletes were supported by the lawyer.", "template": "temp36" }, "173": { "input": "The professor admired the athlete.", "output": "The athlete was admired by the professor.", "template": "temp35" }, "174": { "input": "The actors recommended the secretaries.", "output": "The secretaries were recommended by the actors.", "template": "temp36" }, "175": { "input": "The bankers introduced the professors.", "output": "The professors were introduced by the bankers.", "template": "temp36" }, "176": { "input": "The lawyers contacted the scientists.", "output": "The scientists were contacted by the lawyers.", "template": "temp36" }, "177": { "input": "The actors introduced the professor.", "output": "The professor was introduced by the actors.", "template": "temp35" }, "178": { "input": "The secretary helped the manager.", "output": "The manager was helped by the secretary.", "template": "temp35" }, "179": { "input": "The manager stopped the actors.", "output": "The actors were stopped by the manager.", "template": "temp36" }, "180": { "input": "The judge supported the athletes.", "output": "The athletes were supported by the judge.", "template": "temp36" }, "181": { "input": "The actor supported the president.", "output": "The president was supported by the actor.", "template": "temp35" }, "182": { "input": "The senators helped the tourist.", "output": "The tourist was helped by the senators.", "template": "temp35" }, "183": { "input": "The tourists recommended the student.", "output": "The student was recommended by the tourists.", "template": "temp35" }, "184": { "input": "The banker helped the secretaries.", "output": "The secretaries were helped by the banker.", "template": "temp36" }, "185": { "input": "The tourist supported the athlete.", "output": "The athlete was supported by the tourist.", "template": "temp35" }, "186": { "input": "The athletes introduced the doctors.", "output": "The doctors were introduced by the athletes.", "template": "temp36" }, "187": { "input": "The author believed the tourist.", "output": "The tourist was believed by the author.", "template": "temp35" }, "188": { "input": "The senator admired the authors.", "output": "The authors were admired by the senator.", "template": "temp36" }, "189": { "input": "The secretary avoided the artists.", "output": "The artists were avoided by the secretary.", "template": "temp36" }, "190": { "input": "The authors recognized the scientist.", "output": "The scientist was recognized by the authors.", "template": "temp35" }, "191": { "input": "The actor stopped the judge.", "output": "The judge was stopped by the actor.", "template": "temp35" }, "192": { "input": "The secretaries believed the senator.", "output": "The senator was believed by the secretaries.", "template": "temp35" }, "193": { "input": "The doctors avoided the athletes.", "output": "The athletes were avoided by the doctors.", "template": "temp36" }, "194": { "input": "The secretary recognized the tourists.", "output": "The tourists were recognized by the secretary.", "template": "temp36" }, "195": { "input": "The doctors advised the professors.", "output": "The professors were advised by the doctors.", "template": "temp36" }, "196": { "input": "The manager believed the artist.", "output": "The artist was believed by the manager.", "template": "temp35" }, "197": { "input": "The senator recognized the managers.", "output": "The managers were recognized by the senator.", "template": "temp36" }, "198": { "input": "The actors supported the professors.", "output": "The professors were supported by the actors.", "template": "temp36" }, "199": { "input": "The senators recognized the scientists.", "output": "The scientists were recognized by the senators.", "template": "temp36" }, "200": { "input": "The managers avoided the senator.", "output": "The senator was avoided by the managers.", "template": "temp35" }, "201": { "input": "The judge mentioned the tourist.", "output": "The tourist was mentioned by the judge.", "template": "temp35" }, "202": { "input": "The doctors thanked the secretaries.", "output": "The secretaries were thanked by the doctors.", "template": "temp36" }, "203": { "input": "The senators stopped the manager.", "output": "The manager was stopped by the senators.", "template": "temp35" }, "204": { "input": "The actor supported the professor.", "output": "The professor was supported by the actor.", "template": "temp35" }, "205": { "input": "The authors encouraged the athlete.", "output": "The athlete was encouraged by the authors.", "template": "temp35" }, "206": { "input": "The tourist helped the authors.", "output": "The authors were helped by the tourist.", "template": "temp36" }, "207": { "input": "The presidents helped the artist.", "output": "The artist was helped by the presidents.", "template": "temp35" }, "208": { "input": "The authors encouraged the students.", "output": "The students were encouraged by the authors.", "template": "temp36" }, "209": { "input": "The doctor introduced the tourist.", "output": "The tourist was introduced by the doctor.", "template": "temp35" }, "210": { "input": "The professor avoided the doctors.", "output": "The doctors were avoided by the professor.", "template": "temp36" }, "211": { "input": "The author admired the presidents.", "output": "The presidents were admired by the author.", "template": "temp36" }, "212": { "input": "The bankers thanked the professors.", "output": "The professors were thanked by the bankers.", "template": "temp36" }, "213": { "input": "The judges helped the students.", "output": "The students were helped by the judges.", "template": "temp36" }, "214": { "input": "The athlete thanked the student.", "output": "The student was thanked by the athlete.", "template": "temp35" }, "215": { "input": "The judge supported the senator.", "output": "The senator was supported by the judge.", "template": "temp35" }, "216": { "input": "The banker contacted the tourist.", "output": "The tourist was contacted by the banker.", "template": "temp35" }, "217": { "input": "The student contacted the professor.", "output": "The professor was contacted by the student.", "template": "temp35" }, "218": { "input": "The artist thanked the doctor.", "output": "The doctor was thanked by the artist.", "template": "temp35" }, "219": { "input": "The students helped the senator.", "output": "The senator was helped by the students.", "template": "temp35" }, "220": { "input": "The secretary believed the banker.", "output": "The banker was believed by the secretary.", "template": "temp35" }, "221": { "input": "The professor recognized the scientist.", "output": "The scientist was recognized by the professor.", "template": "temp35" }, "222": { "input": "The actors thanked the doctor.", "output": "The doctor was thanked by the actors.", "template": "temp35" }, "223": { "input": "The actors stopped the artists.", "output": "The artists were stopped by the actors.", "template": "temp36" }, "224": { "input": "The bankers stopped the lawyer.", "output": "The lawyer was stopped by the bankers.", "template": "temp35" }, "225": { "input": "The judges mentioned the tourists.", "output": "The tourists were mentioned by the judges.", "template": "temp36" }, "226": { "input": "The manager stopped the doctors.", "output": "The doctors were stopped by the manager.", "template": "temp36" }, "227": { "input": "The manager contacted the actor.", "output": "The actor was contacted by the manager.", "template": "temp35" }, "228": { "input": "The tourist believed the judge.", "output": "The judge was believed by the tourist.", "template": "temp35" }, "229": { "input": "The professor supported the student.", "output": "The student was supported by the professor.", "template": "temp35" }, "230": { "input": "The author believed the actor.", "output": "The actor was believed by the author.", "template": "temp35" }, "231": { "input": "The professor believed the scientist.", "output": "The scientist was believed by the professor.", "template": "temp35" }, "232": { "input": "The secretary recommended the professor.", "output": "The professor was recommended by the secretary.", "template": "temp35" }, "233": { "input": "The athlete encouraged the banker.", "output": "The banker was encouraged by the athlete.", "template": "temp35" }, "234": { "input": "The presidents mentioned the scientists.", "output": "The scientists were mentioned by the presidents.", "template": "temp36" }, "235": { "input": "The senators advised the actor.", "output": "The actor was advised by the senators.", "template": "temp35" }, "236": { "input": "The secretary admired the bankers.", "output": "The bankers were admired by the secretary.", "template": "temp36" }, "237": { "input": "The author introduced the actor.", "output": "The actor was introduced by the author.", "template": "temp35" }, "238": { "input": "The students helped the author.", "output": "The author was helped by the students.", "template": "temp35" }, "239": { "input": "The secretary admired the judge.", "output": "The judge was admired by the secretary.", "template": "temp35" }, "240": { "input": "The students encouraged the athlete.", "output": "The athlete was encouraged by the students.", "template": "temp35" }, "241": { "input": "The artists admired the professor.", "output": "The professor was admired by the artists.", "template": "temp35" }, "242": { "input": "The banker admired the lawyer.", "output": "The lawyer was admired by the banker.", "template": "temp35" }, "243": { "input": "The manager stopped the lawyers.", "output": "The lawyers were stopped by the manager.", "template": "temp36" }, "244": { "input": "The athletes avoided the lawyers.", "output": "The lawyers were avoided by the athletes.", "template": "temp36" }, "245": { "input": "The tourists contacted the scientist.", "output": "The scientist was contacted by the tourists.", "template": "temp35" }, "246": { "input": "The student helped the doctors.", "output": "The doctors were helped by the student.", "template": "temp36" }, "247": { "input": "The managers mentioned the artist.", "output": "The artist was mentioned by the managers.", "template": "temp35" }, "248": { "input": "The managers thanked the professor.", "output": "The professor was thanked by the managers.", "template": "temp35" }, "249": { "input": "The athlete avoided the managers.", "output": "The managers were avoided by the athlete.", "template": "temp36" }, "250": { "input": "The tourists helped the secretaries.", "output": "The secretaries were helped by the tourists.", "template": "temp36" }, "251": { "input": "The judge introduced the professor.", "output": "The professor was introduced by the judge.", "template": "temp35" }, "252": { "input": "The secretary believed the author.", "output": "The author was believed by the secretary.", "template": "temp35" }, "253": { "input": "The artist recognized the secretaries.", "output": "The secretaries were recognized by the artist.", "template": "temp36" }, "254": { "input": "The presidents recommended the artist.", "output": "The artist was recommended by the presidents.", "template": "temp35" }, "255": { "input": "The manager encouraged the secretaries.", "output": "The secretaries were encouraged by the manager.", "template": "temp36" }, "256": { "input": "The doctor supported the professors.", "output": "The professors were supported by the doctor.", "template": "temp36" }, "257": { "input": "The president helped the bankers.", "output": "The bankers were helped by the president.", "template": "temp36" }, "258": { "input": "The doctors admired the presidents.", "output": "The presidents were admired by the doctors.", "template": "temp36" }, "259": { "input": "The authors thanked the senators.", "output": "The senators were thanked by the authors.", "template": "temp36" }, "260": { "input": "The actors helped the scientists.", "output": "The scientists were helped by the actors.", "template": "temp36" }, "261": { "input": "The banker recommended the secretary.", "output": "The secretary was recommended by the banker.", "template": "temp35" }, "262": { "input": "The lawyers avoided the author.", "output": "The author was avoided by the lawyers.", "template": "temp35" }, "263": { "input": "The scientist recognized the student.", "output": "The student was recognized by the scientist.", "template": "temp35" }, "264": { "input": "The judge encouraged the tourists.", "output": "The tourists were encouraged by the judge.", "template": "temp36" }, "265": { "input": "The lawyers introduced the senator.", "output": "The senator was introduced by the lawyers.", "template": "temp35" }, "266": { "input": "The professors believed the senator.", "output": "The senator was believed by the professors.", "template": "temp35" }, "267": { "input": "The lawyer helped the banker.", "output": "The banker was helped by the lawyer.", "template": "temp35" }, "268": { "input": "The judges admired the author.", "output": "The author was admired by the judges.", "template": "temp35" }, "269": { "input": "The doctors contacted the authors.", "output": "The authors were contacted by the doctors.", "template": "temp36" }, "270": { "input": "The artists recognized the banker.", "output": "The banker was recognized by the artists.", "template": "temp35" }, "271": { "input": "The doctor avoided the artist.", "output": "The artist was avoided by the doctor.", "template": "temp35" }, "272": { "input": "The scientist introduced the authors.", "output": "The authors were introduced by the scientist.", "template": "temp36" }, "273": { "input": "The doctor advised the actors.", "output": "The actors were advised by the doctor.", "template": "temp36" }, "274": { "input": "The actor advised the bankers.", "output": "The bankers were advised by the actor.", "template": "temp36" }, "275": { "input": "The secretaries stopped the presidents.", "output": "The presidents were stopped by the secretaries.", "template": "temp36" }, "276": { "input": "The lawyers helped the actor.", "output": "The actor was helped by the lawyers.", "template": "temp35" }, "277": { "input": "The actor stopped the professor.", "output": "The professor was stopped by the actor.", "template": "temp35" }, "278": { "input": "The managers helped the professors.", "output": "The professors were helped by the managers.", "template": "temp36" }, "279": { "input": "The lawyers helped the tourist.", "output": "The tourist was helped by the lawyers.", "template": "temp35" }, "280": { "input": "The doctor advised the bankers.", "output": "The bankers were advised by the doctor.", "template": "temp36" }, "281": { "input": "The professor recommended the bankers.", "output": "The bankers were recommended by the professor.", "template": "temp36" }, "282": { "input": "The bankers recognized the tourists.", "output": "The tourists were recognized by the bankers.", "template": "temp36" }, "283": { "input": "The president advised the judges.", "output": "The judges were advised by the president.", "template": "temp36" }, "284": { "input": "The tourists mentioned the manager.", "output": "The manager was mentioned by the tourists.", "template": "temp35" }, "285": { "input": "The judge recommended the senators.", "output": "The senators were recommended by the judge.", "template": "temp36" }, "286": { "input": "The senator contacted the lawyer.", "output": "The lawyer was contacted by the senator.", "template": "temp35" }, "287": { "input": "The athlete supported the secretaries.", "output": "The secretaries were supported by the athlete.", "template": "temp36" }, "288": { "input": "The judges advised the lawyer.", "output": "The lawyer was advised by the judges.", "template": "temp35" }, "289": { "input": "The secretary recommended the scientists.", "output": "The scientists were recommended by the secretary.", "template": "temp36" }, "290": { "input": "The author introduced the banker.", "output": "The banker was introduced by the author.", "template": "temp35" }, "291": { "input": "The actors stopped the scientist.", "output": "The scientist was stopped by the actors.", "template": "temp35" }, "292": { "input": "The judges mentioned the doctors.", "output": "The doctors were mentioned by the judges.", "template": "temp36" }, "293": { "input": "The judge admired the banker.", "output": "The banker was admired by the judge.", "template": "temp35" }, "294": { "input": "The actors mentioned the artists.", "output": "The artists were mentioned by the actors.", "template": "temp36" }, "295": { "input": "The bankers helped the manager.", "output": "The manager was helped by the bankers.", "template": "temp35" }, "296": { "input": "The tourist mentioned the secretary.", "output": "The secretary was mentioned by the tourist.", "template": "temp35" }, "297": { "input": "The secretary mentioned the manager.", "output": "The manager was mentioned by the secretary.", "template": "temp35" }, "298": { "input": "The manager believed the lawyer.", "output": "The lawyer was believed by the manager.", "template": "temp35" }, "299": { "input": "The actor introduced the bankers.", "output": "The bankers were introduced by the actor.", "template": "temp36" }, "300": { "input": "The student contacted the secretaries.", "output": "The secretaries were contacted by the student.", "template": "temp36" }, "301": { "input": "The banker encouraged the lawyer.", "output": "The lawyer was encouraged by the banker.", "template": "temp35" }, "302": { "input": "The judge avoided the artist.", "output": "The artist was avoided by the judge.", "template": "temp35" }, "303": { "input": "The scientists believed the lawyer.", "output": "The lawyer was believed by the scientists.", "template": "temp35" }, "304": { "input": "The bankers stopped the tourist.", "output": "The tourist was stopped by the bankers.", "template": "temp35" }, "305": { "input": "The judge introduced the bankers.", "output": "The bankers were introduced by the judge.", "template": "temp36" }, "306": { "input": "The doctor recommended the students.", "output": "The students were recommended by the doctor.", "template": "temp36" }, "307": { "input": "The authors avoided the banker.", "output": "The banker was avoided by the authors.", "template": "temp35" }, "308": { "input": "The senators encouraged the lawyers.", "output": "The lawyers were encouraged by the senators.", "template": "temp36" }, "309": { "input": "The judge contacted the banker.", "output": "The banker was contacted by the judge.", "template": "temp35" }, "310": { "input": "The scientists contacted the student.", "output": "The student was contacted by the scientists.", "template": "temp35" }, "311": { "input": "The artists believed the tourists.", "output": "The tourists were believed by the artists.", "template": "temp36" }, "312": { "input": "The tourists advised the judges.", "output": "The judges were advised by the tourists.", "template": "temp36" }, "313": { "input": "The secretaries thanked the presidents.", "output": "The presidents were thanked by the secretaries.", "template": "temp36" }, "314": { "input": "The banker admired the managers.", "output": "The managers were admired by the banker.", "template": "temp36" }, "315": { "input": "The senator introduced the lawyer.", "output": "The lawyer was introduced by the senator.", "template": "temp35" }, "316": { "input": "The secretary recommended the artist.", "output": "The artist was recommended by the secretary.", "template": "temp35" }, "317": { "input": "The secretaries admired the artist.", "output": "The artist was admired by the secretaries.", "template": "temp35" }, "318": { "input": "The managers believed the lawyers.", "output": "The lawyers were believed by the managers.", "template": "temp36" }, "319": { "input": "The tourist recognized the athletes.", "output": "The athletes were recognized by the tourist.", "template": "temp36" }, "320": { "input": "The tourists supported the president.", "output": "The president was supported by the tourists.", "template": "temp35" }, "321": { "input": "The scientists stopped the doctor.", "output": "The doctor was stopped by the scientists.", "template": "temp35" }, "322": { "input": "The managers supported the president.", "output": "The president was supported by the managers.", "template": "temp35" }, "323": { "input": "The banker mentioned the secretaries.", "output": "The secretaries were mentioned by the banker.", "template": "temp36" }, "324": { "input": "The artist contacted the professors.", "output": "The professors were contacted by the artist.", "template": "temp36" }, "325": { "input": "The judge admired the managers.", "output": "The managers were admired by the judge.", "template": "temp36" }, "326": { "input": "The judge stopped the artists.", "output": "The artists were stopped by the judge.", "template": "temp36" }, "327": { "input": "The tourists avoided the secretaries.", "output": "The secretaries were avoided by the tourists.", "template": "temp36" }, "328": { "input": "The actors advised the lawyer.", "output": "The lawyer was advised by the actors.", "template": "temp35" }, "329": { "input": "The secretary introduced the senator.", "output": "The senator was introduced by the secretary.", "template": "temp35" }, "330": { "input": "The managers mentioned the scientists.", "output": "The scientists were mentioned by the managers.", "template": "temp36" }, "331": { "input": "The secretaries helped the judge.", "output": "The judge was helped by the secretaries.", "template": "temp35" }, "332": { "input": "The judge encouraged the actors.", "output": "The actors were encouraged by the judge.", "template": "temp36" }, "333": { "input": "The manager thanked the secretaries.", "output": "The secretaries were thanked by the manager.", "template": "temp36" }, "334": { "input": "The presidents introduced the athletes.", "output": "The athletes were introduced by the presidents.", "template": "temp36" }, "335": { "input": "The lawyer encouraged the senators.", "output": "The senators were encouraged by the lawyer.", "template": "temp36" }, "336": { "input": "The lawyers recommended the athlete.", "output": "The athlete was recommended by the lawyers.", "template": "temp35" }, "337": { "input": "The president encouraged the judges.", "output": "The judges were encouraged by the president.", "template": "temp36" }, "338": { "input": "The doctors advised the author.", "output": "The author was advised by the doctors.", "template": "temp35" }, "339": { "input": "The manager stopped the senator.", "output": "The senator was stopped by the manager.", "template": "temp35" }, "340": { "input": "The professor believed the artist.", "output": "The artist was believed by the professor.", "template": "temp35" }, "341": { "input": "The tourist avoided the judges.", "output": "The judges were avoided by the tourist.", "template": "temp36" }, "342": { "input": "The student recognized the manager.", "output": "The manager was recognized by the student.", "template": "temp35" }, "343": { "input": "The senator thanked the secretary.", "output": "The secretary was thanked by the senator.", "template": "temp35" }, "344": { "input": "The professors supported the banker.", "output": "The banker was supported by the professors.", "template": "temp35" }, "345": { "input": "The judge advised the author.", "output": "The author was advised by the judge.", "template": "temp35" }, "346": { "input": "The presidents contacted the professor.", "output": "The professor was contacted by the presidents.", "template": "temp35" }, "347": { "input": "The author believed the secretary.", "output": "The secretary was believed by the author.", "template": "temp35" }, "348": { "input": "The banker mentioned the judge.", "output": "The judge was mentioned by the banker.", "template": "temp35" }, "349": { "input": "The tourist avoided the bankers.", "output": "The bankers were avoided by the tourist.", "template": "temp36" }, "350": { "input": "The author recommended the tourists.", "output": "The tourists were recommended by the author.", "template": "temp36" }, "351": { "input": "The manager advised the scientist.", "output": "The scientist was advised by the manager.", "template": "temp35" }, "352": { "input": "The actor thanked the senators.", "output": "The senators were thanked by the actor.", "template": "temp36" }, "353": { "input": "The actors admired the tourists.", "output": "The tourists were admired by the actors.", "template": "temp36" }, "354": { "input": "The banker believed the author.", "output": "The author was believed by the banker.", "template": "temp35" }, "355": { "input": "The doctor believed the senator.", "output": "The senator was believed by the doctor.", "template": "temp35" }, "356": { "input": "The judge avoided the managers.", "output": "The managers were avoided by the judge.", "template": "temp36" }, "357": { "input": "The athlete recommended the tourists.", "output": "The tourists were recommended by the athlete.", "template": "temp36" }, "358": { "input": "The manager contacted the president.", "output": "The president was contacted by the manager.", "template": "temp35" }, "359": { "input": "The student avoided the managers.", "output": "The managers were avoided by the student.", "template": "temp36" }, "360": { "input": "The tourist advised the doctors.", "output": "The doctors were advised by the tourist.", "template": "temp36" }, "361": { "input": "The professors mentioned the presidents.", "output": "The presidents were mentioned by the professors.", "template": "temp36" }, "362": { "input": "The artists believed the actor.", "output": "The actor was believed by the artists.", "template": "temp35" }, "363": { "input": "The managers introduced the student.", "output": "The student was introduced by the managers.", "template": "temp35" }, "364": { "input": "The senator helped the judges.", "output": "The judges were helped by the senator.", "template": "temp36" }, "365": { "input": "The artists contacted the doctors.", "output": "The doctors were contacted by the artists.", "template": "temp36" }, "366": { "input": "The actors contacted the senator.", "output": "The senator was contacted by the actors.", "template": "temp35" }, "367": { "input": "The lawyers mentioned the tourists.", "output": "The tourists were mentioned by the lawyers.", "template": "temp36" }, "368": { "input": "The doctors admired the judges.", "output": "The judges were admired by the doctors.", "template": "temp36" }, "369": { "input": "The athletes supported the senators.", "output": "The senators were supported by the athletes.", "template": "temp36" }, "370": { "input": "The author contacted the actors.", "output": "The actors were contacted by the author.", "template": "temp36" }, "371": { "input": "The professors advised the tourist.", "output": "The tourist was advised by the professors.", "template": "temp35" }, "372": { "input": "The author contacted the managers.", "output": "The managers were contacted by the author.", "template": "temp36" }, "373": { "input": "The senators recognized the actor.", "output": "The actor was recognized by the senators.", "template": "temp35" }, "374": { "input": "The author introduced the bankers.", "output": "The bankers were introduced by the author.", "template": "temp36" }, "375": { "input": "The author supported the secretary.", "output": "The secretary was supported by the author.", "template": "temp35" }, "376": { "input": "The professors contacted the banker.", "output": "The banker was contacted by the professors.", "template": "temp35" }, "377": { "input": "The scientist avoided the tourist.", "output": "The tourist was avoided by the scientist.", "template": "temp35" }, "378": { "input": "The banker supported the students.", "output": "The students were supported by the banker.", "template": "temp36" }, "379": { "input": "The senators thanked the professor.", "output": "The professor was thanked by the senators.", "template": "temp35" }, "380": { "input": "The scientists advised the professors.", "output": "The professors were advised by the scientists.", "template": "temp36" }, "381": { "input": "The presidents contacted the actor.", "output": "The actor was contacted by the presidents.", "template": "temp35" }, "382": { "input": "The senators admired the athlete.", "output": "The athlete was admired by the senators.", "template": "temp35" }, "383": { "input": "The bankers recommended the judges.", "output": "The judges were recommended by the bankers.", "template": "temp36" }, "384": { "input": "The actors mentioned the student.", "output": "The student was mentioned by the actors.", "template": "temp35" }, "385": { "input": "The tourist thanked the actors.", "output": "The actors were thanked by the tourist.", "template": "temp36" }, "386": { "input": "The senators mentioned the actor.", "output": "The actor was mentioned by the senators.", "template": "temp35" }, "387": { "input": "The athlete admired the judge.", "output": "The judge was admired by the athlete.", "template": "temp35" }, "388": { "input": "The athlete helped the lawyer.", "output": "The lawyer was helped by the athlete.", "template": "temp35" }, "389": { "input": "The scientists introduced the judges.", "output": "The judges were introduced by the scientists.", "template": "temp36" }, "390": { "input": "The authors encouraged the president.", "output": "The president was encouraged by the authors.", "template": "temp35" }, "391": { "input": "The professor recommended the banker.", "output": "The banker was recommended by the professor.", "template": "temp35" }, "392": { "input": "The secretary encouraged the judge.", "output": "The judge was encouraged by the secretary.", "template": "temp35" }, "393": { "input": "The artist introduced the lawyer.", "output": "The lawyer was introduced by the artist.", "template": "temp35" }, "394": { "input": "The presidents encouraged the secretary.", "output": "The secretary was encouraged by the presidents.", "template": "temp35" }, "395": { "input": "The artists avoided the secretary.", "output": "The secretary was avoided by the artists.", "template": "temp35" }, "396": { "input": "The scientists avoided the lawyer.", "output": "The lawyer was avoided by the scientists.", "template": "temp35" }, "397": { "input": "The secretaries encouraged the judges.", "output": "The judges were encouraged by the secretaries.", "template": "temp36" }, "398": { "input": "The senators supported the artists.", "output": "The artists were supported by the senators.", "template": "temp36" }, "399": { "input": "The judge mentioned the manager.", "output": "The manager was mentioned by the judge.", "template": "temp35" }, "400": { "input": "The author believed the scientists.", "output": "The scientists were believed by the author.", "template": "temp36" }, "401": { "input": "The secretaries recommended the actors.", "output": "The actors were recommended by the secretaries.", "template": "temp36" }, "402": { "input": "The athlete avoided the judge.", "output": "The judge was avoided by the athlete.", "template": "temp35" }, "403": { "input": "The banker mentioned the judges.", "output": "The judges were mentioned by the banker.", "template": "temp36" }, "404": { "input": "The tourists admired the manager.", "output": "The manager was admired by the tourists.", "template": "temp35" }, "405": { "input": "The athletes recognized the doctors.", "output": "The doctors were recognized by the athletes.", "template": "temp36" }, "406": { "input": "The student recognized the professors.", "output": "The professors were recognized by the student.", "template": "temp36" }, "407": { "input": "The author stopped the judge.", "output": "The judge was stopped by the author.", "template": "temp35" }, "408": { "input": "The professor thanked the artist.", "output": "The artist was thanked by the professor.", "template": "temp35" }, "409": { "input": "The banker encouraged the tourist.", "output": "The tourist was encouraged by the banker.", "template": "temp35" }, "410": { "input": "The secretary avoided the doctors.", "output": "The doctors were avoided by the secretary.", "template": "temp36" }, "411": { "input": "The banker mentioned the artists.", "output": "The artists were mentioned by the banker.", "template": "temp36" }, "412": { "input": "The judges helped the presidents.", "output": "The presidents were helped by the judges.", "template": "temp36" }, "413": { "input": "The scientist advised the athletes.", "output": "The athletes were advised by the scientist.", "template": "temp36" }, "414": { "input": "The athlete recognized the secretary.", "output": "The secretary was recognized by the athlete.", "template": "temp35" }, "415": { "input": "The artist recognized the students.", "output": "The students were recognized by the artist.", "template": "temp36" }, "416": { "input": "The students supported the authors.", "output": "The authors were supported by the students.", "template": "temp36" }, "417": { "input": "The student introduced the judge.", "output": "The judge was introduced by the student.", "template": "temp35" }, "418": { "input": "The actors contacted the judges.", "output": "The judges were contacted by the actors.", "template": "temp36" }, "419": { "input": "The athlete stopped the presidents.", "output": "The presidents were stopped by the athlete.", "template": "temp36" }, "420": { "input": "The students introduced the presidents.", "output": "The presidents were introduced by the students.", "template": "temp36" }, "421": { "input": "The athletes avoided the senator.", "output": "The senator was avoided by the athletes.", "template": "temp35" }, "422": { "input": "The secretaries supported the president.", "output": "The president was supported by the secretaries.", "template": "temp35" }, "423": { "input": "The managers believed the actors.", "output": "The actors were believed by the managers.", "template": "temp36" }, "424": { "input": "The artist mentioned the author.", "output": "The author was mentioned by the artist.", "template": "temp35" }, "425": { "input": "The professor supported the managers.", "output": "The managers were supported by the professor.", "template": "temp36" }, "426": { "input": "The doctors encouraged the professors.", "output": "The professors were encouraged by the doctors.", "template": "temp36" }, "427": { "input": "The scientists admired the secretaries.", "output": "The secretaries were admired by the scientists.", "template": "temp36" }, "428": { "input": "The lawyer admired the author.", "output": "The author was admired by the lawyer.", "template": "temp35" }, "429": { "input": "The bankers recognized the doctor.", "output": "The doctor was recognized by the bankers.", "template": "temp35" }, "430": { "input": "The artists believed the athlete.", "output": "The athlete was believed by the artists.", "template": "temp35" }, "431": { "input": "The manager admired the bankers.", "output": "The bankers were admired by the manager.", "template": "temp36" }, "432": { "input": "The student admired the athlete.", "output": "The athlete was admired by the student.", "template": "temp35" }, "433": { "input": "The judge encouraged the artist.", "output": "The artist was encouraged by the judge.", "template": "temp35" }, "434": { "input": "The actor supported the lawyer.", "output": "The lawyer was supported by the actor.", "template": "temp35" }, "435": { "input": "The athletes recommended the professor.", "output": "The professor was recommended by the athletes.", "template": "temp35" }, "436": { "input": "The students helped the scientist.", "output": "The scientist was helped by the students.", "template": "temp35" }, "437": { "input": "The students admired the tourists.", "output": "The tourists were admired by the students.", "template": "temp36" }, "438": { "input": "The author avoided the senators.", "output": "The senators were avoided by the author.", "template": "temp36" }, "439": { "input": "The professor advised the scientists.", "output": "The scientists were advised by the professor.", "template": "temp36" }, "440": { "input": "The banker contacted the lawyers.", "output": "The lawyers were contacted by the banker.", "template": "temp36" }, "441": { "input": "The scientists encouraged the author.", "output": "The author was encouraged by the scientists.", "template": "temp35" }, "442": { "input": "The secretary admired the scientist.", "output": "The scientist was admired by the secretary.", "template": "temp35" }, "443": { "input": "The senators recommended the tourists.", "output": "The tourists were recommended by the senators.", "template": "temp36" }, "444": { "input": "The students supported the athletes.", "output": "The athletes were supported by the students.", "template": "temp36" }, "445": { "input": "The secretary admired the author.", "output": "The author was admired by the secretary.", "template": "temp35" }, "446": { "input": "The doctors recommended the manager.", "output": "The manager was recommended by the doctors.", "template": "temp35" }, "447": { "input": "The managers helped the secretaries.", "output": "The secretaries were helped by the managers.", "template": "temp36" }, "448": { "input": "The scientist supported the actor.", "output": "The actor was supported by the scientist.", "template": "temp35" }, "449": { "input": "The artist mentioned the actors.", "output": "The actors were mentioned by the artist.", "template": "temp36" }, "450": { "input": "The students believed the presidents.", "output": "The presidents were believed by the students.", "template": "temp36" }, "451": { "input": "The scientist recommended the senators.", "output": "The senators were recommended by the scientist.", "template": "temp36" }, "452": { "input": "The banker thanked the athlete.", "output": "The athlete was thanked by the banker.", "template": "temp35" }, "453": { "input": "The athlete mentioned the secretaries.", "output": "The secretaries were mentioned by the athlete.", "template": "temp36" }, "454": { "input": "The doctor recognized the students.", "output": "The students were recognized by the doctor.", "template": "temp36" }, "455": { "input": "The manager introduced the professors.", "output": "The professors were introduced by the manager.", "template": "temp36" }, "456": { "input": "The presidents contacted the managers.", "output": "The managers were contacted by the presidents.", "template": "temp36" }, "457": { "input": "The bankers believed the presidents.", "output": "The presidents were believed by the bankers.", "template": "temp36" }, "458": { "input": "The lawyer supported the athlete.", "output": "The athlete was supported by the lawyer.", "template": "temp35" }, "459": { "input": "The tourist advised the artists.", "output": "The artists were advised by the tourist.", "template": "temp36" }, "460": { "input": "The athletes thanked the scientists.", "output": "The scientists were thanked by the athletes.", "template": "temp36" }, "461": { "input": "The senators believed the professor.", "output": "The professor was believed by the senators.", "template": "temp35" }, "462": { "input": "The scientist introduced the doctor.", "output": "The doctor was introduced by the scientist.", "template": "temp35" }, "463": { "input": "The managers introduced the authors.", "output": "The authors were introduced by the managers.", "template": "temp36" }, "464": { "input": "The actors encouraged the senators.", "output": "The senators were encouraged by the actors.", "template": "temp36" }, "465": { "input": "The actor avoided the banker.", "output": "The banker was avoided by the actor.", "template": "temp35" }, "466": { "input": "The athletes stopped the artists.", "output": "The artists were stopped by the athletes.", "template": "temp36" }, "467": { "input": "The authors avoided the doctor.", "output": "The doctor was avoided by the authors.", "template": "temp35" }, "468": { "input": "The professor admired the author.", "output": "The author was admired by the professor.", "template": "temp35" }, "469": { "input": "The actor encouraged the judge.", "output": "The judge was encouraged by the actor.", "template": "temp35" }, "470": { "input": "The doctor advised the president.", "output": "The president was advised by the doctor.", "template": "temp35" }, "471": { "input": "The manager encouraged the senators.", "output": "The senators were encouraged by the manager.", "template": "temp36" }, "472": { "input": "The presidents avoided the tourists.", "output": "The tourists were avoided by the presidents.", "template": "temp36" }, "473": { "input": "The artists avoided the judge.", "output": "The judge was avoided by the artists.", "template": "temp35" }, "474": { "input": "The students mentioned the tourists.", "output": "The tourists were mentioned by the students.", "template": "temp36" }, "475": { "input": "The student believed the author.", "output": "The author was believed by the student.", "template": "temp35" }, "476": { "input": "The tourist admired the athletes.", "output": "The athletes were admired by the tourist.", "template": "temp36" }, "477": { "input": "The author recommended the artists.", "output": "The artists were recommended by the author.", "template": "temp36" }, "478": { "input": "The secretaries thanked the athlete.", "output": "The athlete was thanked by the secretaries.", "template": "temp35" }, "479": { "input": "The lawyers avoided the scientists.", "output": "The scientists were avoided by the lawyers.", "template": "temp36" }, "480": { "input": "The doctors admired the artist.", "output": "The artist was admired by the doctors.", "template": "temp35" }, "481": { "input": "The senator admired the lawyers.", "output": "The lawyers were admired by the senator.", "template": "temp36" }, "482": { "input": "The tourist contacted the doctors.", "output": "The doctors were contacted by the tourist.", "template": "temp36" }, "483": { "input": "The athletes stopped the scientists.", "output": "The scientists were stopped by the athletes.", "template": "temp36" }, "484": { "input": "The judge thanked the professor.", "output": "The professor was thanked by the judge.", "template": "temp35" }, "485": { "input": "The artists believed the professor.", "output": "The professor was believed by the artists.", "template": "temp35" }, "486": { "input": "The senators avoided the doctor.", "output": "The doctor was avoided by the senators.", "template": "temp35" }, "487": { "input": "The secretary believed the senators.", "output": "The senators were believed by the secretary.", "template": "temp36" }, "488": { "input": "The judges thanked the tourists.", "output": "The tourists were thanked by the judges.", "template": "temp36" }, "489": { "input": "The president thanked the actor.", "output": "The actor was thanked by the president.", "template": "temp35" }, "490": { "input": "The banker encouraged the lawyers.", "output": "The lawyers were encouraged by the banker.", "template": "temp36" }, "491": { "input": "The professors supported the scientist.", "output": "The scientist was supported by the professors.", "template": "temp35" }, "492": { "input": "The banker helped the senator.", "output": "The senator was helped by the banker.", "template": "temp35" }, "493": { "input": "The actor supported the managers.", "output": "The managers were supported by the actor.", "template": "temp36" }, "494": { "input": "The tourists admired the presidents.", "output": "The presidents were admired by the tourists.", "template": "temp36" }, "495": { "input": "The manager encouraged the professors.", "output": "The professors were encouraged by the manager.", "template": "temp36" }, "496": { "input": "The secretary recommended the students.", "output": "The students were recommended by the secretary.", "template": "temp36" }, "497": { "input": "The students recognized the banker.", "output": "The banker was recognized by the students.", "template": "temp35" }, "498": { "input": "The secretaries recognized the manager.", "output": "The manager was recognized by the secretaries.", "template": "temp35" }, "499": { "input": "The doctors believed the tourist.", "output": "The tourist was believed by the doctors.", "template": "temp35" }, "500": { "input": "The student stopped the senator.", "output": "The senator was stopped by the student.", "template": "temp35" }, "501": { "input": "The senator helped the scientists.", "output": "The scientists were helped by the senator.", "template": "temp36" }, "502": { "input": "The scientists helped the athletes.", "output": "The athletes were helped by the scientists.", "template": "temp36" }, "503": { "input": "The judges avoided the scientists.", "output": "The scientists were avoided by the judges.", "template": "temp36" }, "504": { "input": "The athlete recommended the secretary.", "output": "The secretary was recommended by the athlete.", "template": "temp35" }, "505": { "input": "The actors helped the judge.", "output": "The judge was helped by the actors.", "template": "temp35" }, "506": { "input": "The lawyer admired the authors.", "output": "The authors were admired by the lawyer.", "template": "temp36" }, "507": { "input": "The actors recognized the scientists.", "output": "The scientists were recognized by the actors.", "template": "temp36" }, "508": { "input": "The actor admired the professor.", "output": "The professor was admired by the actor.", "template": "temp35" }, "509": { "input": "The manager recognized the senator.", "output": "The senator was recognized by the manager.", "template": "temp35" }, "510": { "input": "The students supported the professor.", "output": "The professor was supported by the students.", "template": "temp35" }, "511": { "input": "The students advised the professor.", "output": "The professor was advised by the students.", "template": "temp35" }, "512": { "input": "The secretaries advised the artist.", "output": "The artist was advised by the secretaries.", "template": "temp35" }, "513": { "input": "The actor contacted the secretary.", "output": "The secretary was contacted by the actor.", "template": "temp35" }, "514": { "input": "The professors recognized the athlete.", "output": "The athlete was recognized by the professors.", "template": "temp35" }, "515": { "input": "The athletes encouraged the doctors.", "output": "The doctors were encouraged by the athletes.", "template": "temp36" }, "516": { "input": "The bankers encouraged the athlete.", "output": "The athlete was encouraged by the bankers.", "template": "temp35" }, "517": { "input": "The artist advised the doctor.", "output": "The doctor was advised by the artist.", "template": "temp35" }, "518": { "input": "The senators avoided the tourists.", "output": "The tourists were avoided by the senators.", "template": "temp36" }, "519": { "input": "The secretaries stopped the bankers.", "output": "The bankers were stopped by the secretaries.", "template": "temp36" }, "520": { "input": "The bankers admired the author.", "output": "The author was admired by the bankers.", "template": "temp35" }, "521": { "input": "The manager advised the professor.", "output": "The professor was advised by the manager.", "template": "temp35" }, "522": { "input": "The tourists supported the senators.", "output": "The senators were supported by the tourists.", "template": "temp36" }, "523": { "input": "The artists supported the doctors.", "output": "The doctors were supported by the artists.", "template": "temp36" }, "524": { "input": "The artist introduced the tourist.", "output": "The tourist was introduced by the artist.", "template": "temp35" }, "525": { "input": "The lawyers advised the senator.", "output": "The senator was advised by the lawyers.", "template": "temp35" }, "526": { "input": "The judges thanked the lawyers.", "output": "The lawyers were thanked by the judges.", "template": "temp36" }, "527": { "input": "The senator believed the banker.", "output": "The banker was believed by the senator.", "template": "temp35" }, "528": { "input": "The student admired the banker.", "output": "The banker was admired by the student.", "template": "temp35" }, "529": { "input": "The artist advised the author.", "output": "The author was advised by the artist.", "template": "temp35" }, "530": { "input": "The judge contacted the lawyer.", "output": "The lawyer was contacted by the judge.", "template": "temp35" }, "531": { "input": "The lawyers believed the scientists.", "output": "The scientists were believed by the lawyers.", "template": "temp36" }, "532": { "input": "The actor thanked the professor.", "output": "The professor was thanked by the actor.", "template": "temp35" }, "533": { "input": "The manager thanked the scientists.", "output": "The scientists were thanked by the manager.", "template": "temp36" }, "534": { "input": "The scientists helped the student.", "output": "The student was helped by the scientists.", "template": "temp35" }, "535": { "input": "The artist admired the professors.", "output": "The professors were admired by the artist.", "template": "temp36" }, "536": { "input": "The secretary encouraged the manager.", "output": "The manager was encouraged by the secretary.", "template": "temp35" }, "537": { "input": "The senator mentioned the author.", "output": "The author was mentioned by the senator.", "template": "temp35" }, "538": { "input": "The tourists avoided the scientists.", "output": "The scientists were avoided by the tourists.", "template": "temp36" }, "539": { "input": "The judge recommended the doctors.", "output": "The doctors were recommended by the judge.", "template": "temp36" }, "540": { "input": "The manager helped the secretary.", "output": "The secretary was helped by the manager.", "template": "temp35" }, "541": { "input": "The author admired the manager.", "output": "The manager was admired by the author.", "template": "temp35" }, "542": { "input": "The professor helped the actors.", "output": "The actors were helped by the professor.", "template": "temp36" }, "543": { "input": "The judge recognized the doctors.", "output": "The doctors were recognized by the judge.", "template": "temp36" }, "544": { "input": "The professor avoided the author.", "output": "The author was avoided by the professor.", "template": "temp35" }, "545": { "input": "The actor helped the manager.", "output": "The manager was helped by the actor.", "template": "temp35" }, "546": { "input": "The judge encouraged the banker.", "output": "The banker was encouraged by the judge.", "template": "temp35" }, "547": { "input": "The doctor avoided the president.", "output": "The president was avoided by the doctor.", "template": "temp35" }, "548": { "input": "The manager thanked the senators.", "output": "The senators were thanked by the manager.", "template": "temp36" }, "549": { "input": "The doctor admired the authors.", "output": "The authors were admired by the doctor.", "template": "temp36" }, "550": { "input": "The students introduced the tourists.", "output": "The tourists were introduced by the students.", "template": "temp36" }, "551": { "input": "The senator supported the artists.", "output": "The artists were supported by the senator.", "template": "temp36" }, "552": { "input": "The students recognized the judge.", "output": "The judge was recognized by the students.", "template": "temp35" }, "553": { "input": "The secretaries thanked the athletes.", "output": "The athletes were thanked by the secretaries.", "template": "temp36" }, "554": { "input": "The actor thanked the authors.", "output": "The authors were thanked by the actor.", "template": "temp36" }, "555": { "input": "The students stopped the doctor.", "output": "The doctor was stopped by the students.", "template": "temp35" }, "556": { "input": "The banker introduced the presidents.", "output": "The presidents were introduced by the banker.", "template": "temp36" }, "557": { "input": "The actor contacted the tourists.", "output": "The tourists were contacted by the actor.", "template": "temp36" }, "558": { "input": "The president supported the lawyer.", "output": "The lawyer was supported by the president.", "template": "temp35" }, "559": { "input": "The managers introduced the senators.", "output": "The senators were introduced by the managers.", "template": "temp36" }, "560": { "input": "The actor avoided the professors.", "output": "The professors were avoided by the actor.", "template": "temp36" }, "561": { "input": "The author recommended the manager.", "output": "The manager was recommended by the author.", "template": "temp35" }, "562": { "input": "The actor recommended the scientists.", "output": "The scientists were recommended by the actor.", "template": "temp36" }, "563": { "input": "The senator mentioned the tourist.", "output": "The tourist was mentioned by the senator.", "template": "temp35" }, "564": { "input": "The banker encouraged the athlete.", "output": "The athlete was encouraged by the banker.", "template": "temp35" }, "565": { "input": "The lawyer mentioned the actors.", "output": "The actors were mentioned by the lawyer.", "template": "temp36" }, "566": { "input": "The athlete believed the artist.", "output": "The artist was believed by the athlete.", "template": "temp35" }, "567": { "input": "The presidents contacted the senator.", "output": "The senator was contacted by the presidents.", "template": "temp35" }, "568": { "input": "The artists believed the bankers.", "output": "The bankers were believed by the artists.", "template": "temp36" }, "569": { "input": "The tourists mentioned the artist.", "output": "The artist was mentioned by the tourists.", "template": "temp35" }, "570": { "input": "The secretary mentioned the artist.", "output": "The artist was mentioned by the secretary.", "template": "temp35" }, "571": { "input": "The secretaries avoided the student.", "output": "The student was avoided by the secretaries.", "template": "temp35" }, "572": { "input": "The artist stopped the president.", "output": "The president was stopped by the artist.", "template": "temp35" }, "573": { "input": "The artists introduced the managers.", "output": "The managers were introduced by the artists.", "template": "temp36" }, "574": { "input": "The doctors supported the athlete.", "output": "The athlete was supported by the doctors.", "template": "temp35" }, "575": { "input": "The athletes stopped the manager.", "output": "The manager was stopped by the athletes.", "template": "temp35" }, "576": { "input": "The actor avoided the tourist.", "output": "The tourist was avoided by the actor.", "template": "temp35" }, "577": { "input": "The lawyers encouraged the professors.", "output": "The professors were encouraged by the lawyers.", "template": "temp36" }, "578": { "input": "The scientists recommended the tourist.", "output": "The tourist was recommended by the scientists.", "template": "temp35" }, "579": { "input": "The secretaries advised the lawyer.", "output": "The lawyer was advised by the secretaries.", "template": "temp35" }, "580": { "input": "The artist believed the scientists.", "output": "The scientists were believed by the artist.", "template": "temp36" }, "581": { "input": "The doctor helped the secretaries.", "output": "The secretaries were helped by the doctor.", "template": "temp36" }, "582": { "input": "The banker advised the author.", "output": "The author was advised by the banker.", "template": "temp35" }, "583": { "input": "The scientists thanked the lawyer.", "output": "The lawyer was thanked by the scientists.", "template": "temp35" }, "584": { "input": "The tourists admired the artists.", "output": "The artists were admired by the tourists.", "template": "temp36" }, "585": { "input": "The bankers advised the presidents.", "output": "The presidents were advised by the bankers.", "template": "temp36" }, "586": { "input": "The president introduced the secretary.", "output": "The secretary was introduced by the president.", "template": "temp35" }, "587": { "input": "The judge recommended the athletes.", "output": "The athletes were recommended by the judge.", "template": "temp36" }, "588": { "input": "The senator advised the athletes.", "output": "The athletes were advised by the senator.", "template": "temp36" }, "589": { "input": "The artists recommended the secretary.", "output": "The secretary was recommended by the artists.", "template": "temp35" }, "590": { "input": "The lawyers mentioned the president.", "output": "The president was mentioned by the lawyers.", "template": "temp35" }, "591": { "input": "The professors encouraged the presidents.", "output": "The presidents were encouraged by the professors.", "template": "temp36" }, "592": { "input": "The banker contacted the author.", "output": "The author was contacted by the banker.", "template": "temp35" }, "593": { "input": "The tourist recommended the senators.", "output": "The senators were recommended by the tourist.", "template": "temp36" }, "594": { "input": "The athletes advised the secretary.", "output": "The secretary was advised by the athletes.", "template": "temp35" }, "595": { "input": "The managers avoided the actors.", "output": "The actors were avoided by the managers.", "template": "temp36" }, "596": { "input": "The actors admired the doctors.", "output": "The doctors were admired by the actors.", "template": "temp36" }, "597": { "input": "The judge recognized the lawyers.", "output": "The lawyers were recognized by the judge.", "template": "temp36" }, "598": { "input": "The athletes recommended the scientists.", "output": "The scientists were recommended by the athletes.", "template": "temp36" }, "599": { "input": "The tourist encouraged the professors.", "output": "The professors were encouraged by the tourist.", "template": "temp36" }, "600": { "input": "The scientist recognized the author.", "output": "The author was recognized by the scientist.", "template": "temp35" }, "601": { "input": "The student thanked the tourists.", "output": "The tourists were thanked by the student.", "template": "temp36" }, "602": { "input": "The manager thanked the student.", "output": "The student was thanked by the manager.", "template": "temp35" }, "603": { "input": "The scientist mentioned the student.", "output": "The student was mentioned by the scientist.", "template": "temp35" }, "604": { "input": "The artist recognized the judges.", "output": "The judges were recognized by the artist.", "template": "temp36" }, "605": { "input": "The judges advised the doctors.", "output": "The doctors were advised by the judges.", "template": "temp36" }, "606": { "input": "The banker introduced the tourist.", "output": "The tourist was introduced by the banker.", "template": "temp35" }, "607": { "input": "The student mentioned the banker.", "output": "The banker was mentioned by the student.", "template": "temp35" }, "608": { "input": "The athletes recommended the actor.", "output": "The actor was recommended by the athletes.", "template": "temp35" }, "609": { "input": "The tourist helped the scientist.", "output": "The scientist was helped by the tourist.", "template": "temp35" }, "610": { "input": "The managers supported the bankers.", "output": "The bankers were supported by the managers.", "template": "temp36" }, "611": { "input": "The secretaries recognized the tourist.", "output": "The tourist was recognized by the secretaries.", "template": "temp35" }, "612": { "input": "The actors avoided the secretary.", "output": "The secretary was avoided by the actors.", "template": "temp35" }, "613": { "input": "The doctors recommended the judge.", "output": "The judge was recommended by the doctors.", "template": "temp35" }, "614": { "input": "The scientists recognized the presidents.", "output": "The presidents were recognized by the scientists.", "template": "temp36" }, "615": { "input": "The secretaries helped the professors.", "output": "The professors were helped by the secretaries.", "template": "temp36" }, "616": { "input": "The managers advised the professors.", "output": "The professors were advised by the managers.", "template": "temp36" }, "617": { "input": "The manager helped the students.", "output": "The students were helped by the manager.", "template": "temp36" }, "618": { "input": "The professor advised the senators.", "output": "The senators were advised by the professor.", "template": "temp36" }, "619": { "input": "The artists recommended the bankers.", "output": "The bankers were recommended by the artists.", "template": "temp36" }, "620": { "input": "The artist avoided the lawyers.", "output": "The lawyers were avoided by the artist.", "template": "temp36" }, "621": { "input": "The athletes admired the senator.", "output": "The senator was admired by the athletes.", "template": "temp35" }, "622": { "input": "The scientists recommended the president.", "output": "The president was recommended by the scientists.", "template": "temp35" }, "623": { "input": "The lawyer avoided the managers.", "output": "The managers were avoided by the lawyer.", "template": "temp36" }, "624": { "input": "The athletes mentioned the bankers.", "output": "The bankers were mentioned by the athletes.", "template": "temp36" }, "625": { "input": "The actors admired the artist.", "output": "The artist was admired by the actors.", "template": "temp35" }, "626": { "input": "The athlete believed the actors.", "output": "The actors were believed by the athlete.", "template": "temp36" }, "627": { "input": "The tourist contacted the doctor.", "output": "The doctor was contacted by the tourist.", "template": "temp35" }, "628": { "input": "The lawyers stopped the professor.", "output": "The professor was stopped by the lawyers.", "template": "temp35" }, "629": { "input": "The senators recommended the doctors.", "output": "The doctors were recommended by the senators.", "template": "temp36" }, "630": { "input": "The artists recognized the scientist.", "output": "The scientist was recognized by the artists.", "template": "temp35" }, "631": { "input": "The secretary stopped the lawyer.", "output": "The lawyer was stopped by the secretary.", "template": "temp35" }, "632": { "input": "The artist avoided the senator.", "output": "The senator was avoided by the artist.", "template": "temp35" }, "633": { "input": "The judge contacted the athletes.", "output": "The athletes were contacted by the judge.", "template": "temp36" }, "634": { "input": "The actors thanked the senators.", "output": "The senators were thanked by the actors.", "template": "temp36" }, "635": { "input": "The secretaries admired the author.", "output": "The author was admired by the secretaries.", "template": "temp35" }, "636": { "input": "The managers supported the artists.", "output": "The artists were supported by the managers.", "template": "temp36" }, "637": { "input": "The secretary encouraged the authors.", "output": "The authors were encouraged by the secretary.", "template": "temp36" }, "638": { "input": "The doctors believed the judges.", "output": "The judges were believed by the doctors.", "template": "temp36" }, "639": { "input": "The judges recommended the athlete.", "output": "The athlete was recommended by the judges.", "template": "temp35" }, "640": { "input": "The professors contacted the senator.", "output": "The senator was contacted by the professors.", "template": "temp35" }, "641": { "input": "The senators believed the scientist.", "output": "The scientist was believed by the senators.", "template": "temp35" }, "642": { "input": "The artists encouraged the professor.", "output": "The professor was encouraged by the artists.", "template": "temp35" }, "643": { "input": "The athletes introduced the professor.", "output": "The professor was introduced by the athletes.", "template": "temp35" }, "644": { "input": "The presidents stopped the actors.", "output": "The actors were stopped by the presidents.", "template": "temp36" }, "645": { "input": "The students helped the artists.", "output": "The artists were helped by the students.", "template": "temp36" }, "646": { "input": "The scientist contacted the actors.", "output": "The actors were contacted by the scientist.", "template": "temp36" }, "647": { "input": "The athlete recommended the lawyer.", "output": "The lawyer was recommended by the athlete.", "template": "temp35" }, "648": { "input": "The banker advised the doctor.", "output": "The doctor was advised by the banker.", "template": "temp35" }, "649": { "input": "The judge supported the athlete.", "output": "The athlete was supported by the judge.", "template": "temp35" }, "650": { "input": "The president mentioned the professor.", "output": "The professor was mentioned by the president.", "template": "temp35" }, "651": { "input": "The actors avoided the authors.", "output": "The authors were avoided by the actors.", "template": "temp36" }, "652": { "input": "The senator admired the manager.", "output": "The manager was admired by the senator.", "template": "temp35" }, "653": { "input": "The tourist encouraged the scientists.", "output": "The scientists were encouraged by the tourist.", "template": "temp36" }, "654": { "input": "The judge recommended the secretary.", "output": "The secretary was recommended by the judge.", "template": "temp35" }, "655": { "input": "The student advised the manager.", "output": "The manager was advised by the student.", "template": "temp35" }, "656": { "input": "The secretaries mentioned the artist.", "output": "The artist was mentioned by the secretaries.", "template": "temp35" }, "657": { "input": "The actors believed the manager.", "output": "The manager was believed by the actors.", "template": "temp35" }, "658": { "input": "The senator mentioned the professor.", "output": "The professor was mentioned by the senator.", "template": "temp35" }, "659": { "input": "The managers admired the artist.", "output": "The artist was admired by the managers.", "template": "temp35" }, "660": { "input": "The professor avoided the student.", "output": "The student was avoided by the professor.", "template": "temp35" }, "661": { "input": "The authors contacted the judges.", "output": "The judges were contacted by the authors.", "template": "temp36" }, "662": { "input": "The tourist thanked the lawyers.", "output": "The lawyers were thanked by the tourist.", "template": "temp36" }, "663": { "input": "The bankers contacted the doctor.", "output": "The doctor was contacted by the bankers.", "template": "temp35" }, "664": { "input": "The authors introduced the judge.", "output": "The judge was introduced by the authors.", "template": "temp35" }, "665": { "input": "The artists contacted the scientists.", "output": "The scientists were contacted by the artists.", "template": "temp36" }, "666": { "input": "The judge admired the bankers.", "output": "The bankers were admired by the judge.", "template": "temp36" }, "667": { "input": "The managers introduced the tourist.", "output": "The tourist was introduced by the managers.", "template": "temp35" }, "668": { "input": "The artists recommended the athlete.", "output": "The athlete was recommended by the artists.", "template": "temp35" }, "669": { "input": "The manager admired the artist.", "output": "The artist was admired by the manager.", "template": "temp35" }, "670": { "input": "The presidents thanked the actors.", "output": "The actors were thanked by the presidents.", "template": "temp36" }, "671": { "input": "The lawyers advised the professor.", "output": "The professor was advised by the lawyers.", "template": "temp35" }, "672": { "input": "The actor contacted the athlete.", "output": "The athlete was contacted by the actor.", "template": "temp35" }, "673": { "input": "The presidents introduced the athlete.", "output": "The athlete was introduced by the presidents.", "template": "temp35" }, "674": { "input": "The students supported the doctors.", "output": "The doctors were supported by the students.", "template": "temp36" }, "675": { "input": "The artist thanked the actors.", "output": "The actors were thanked by the artist.", "template": "temp36" }, "676": { "input": "The manager contacted the author.", "output": "The author was contacted by the manager.", "template": "temp35" }, "677": { "input": "The artists admired the athlete.", "output": "The athlete was admired by the artists.", "template": "temp35" }, "678": { "input": "The secretary supported the actor.", "output": "The actor was supported by the secretary.", "template": "temp35" }, "679": { "input": "The student believed the senators.", "output": "The senators were believed by the student.", "template": "temp36" }, "680": { "input": "The professors helped the secretary.", "output": "The secretary was helped by the professors.", "template": "temp35" }, "681": { "input": "The doctor avoided the lawyers.", "output": "The lawyers were avoided by the doctor.", "template": "temp36" }, "682": { "input": "The lawyer recognized the students.", "output": "The students were recognized by the lawyer.", "template": "temp36" }, "683": { "input": "The professor avoided the judges.", "output": "The judges were avoided by the professor.", "template": "temp36" }, "684": { "input": "The students supported the managers.", "output": "The managers were supported by the students.", "template": "temp36" }, "685": { "input": "The doctors thanked the author.", "output": "The author was thanked by the doctors.", "template": "temp35" }, "686": { "input": "The doctors avoided the student.", "output": "The student was avoided by the doctors.", "template": "temp35" }, "687": { "input": "The actors introduced the doctor.", "output": "The doctor was introduced by the actors.", "template": "temp35" }, "688": { "input": "The students encouraged the tourists.", "output": "The tourists were encouraged by the students.", "template": "temp36" }, "689": { "input": "The scientists avoided the doctors.", "output": "The doctors were avoided by the scientists.", "template": "temp36" }, "690": { "input": "The tourist recommended the secretary.", "output": "The secretary was recommended by the tourist.", "template": "temp35" }, "691": { "input": "The senator thanked the student.", "output": "The student was thanked by the senator.", "template": "temp35" }, "692": { "input": "The tourist helped the artists.", "output": "The artists were helped by the tourist.", "template": "temp36" }, "693": { "input": "The artists recognized the senator.", "output": "The senator was recognized by the artists.", "template": "temp35" }, "694": { "input": "The presidents avoided the secretaries.", "output": "The secretaries were avoided by the presidents.", "template": "temp36" }, "695": { "input": "The presidents helped the doctors.", "output": "The doctors were helped by the presidents.", "template": "temp36" }, "696": { "input": "The judge advised the scientists.", "output": "The scientists were advised by the judge.", "template": "temp36" }, "697": { "input": "The senator supported the judge.", "output": "The judge was supported by the senator.", "template": "temp35" }, "698": { "input": "The tourist thanked the senators.", "output": "The senators were thanked by the tourist.", "template": "temp36" }, "699": { "input": "The professors introduced the senators.", "output": "The senators were introduced by the professors.", "template": "temp36" }, "700": { "input": "The student helped the manager.", "output": "The manager was helped by the student.", "template": "temp35" }, "701": { "input": "The lawyers recommended the author.", "output": "The author was recommended by the lawyers.", "template": "temp35" }, "702": { "input": "The bankers thanked the scientist.", "output": "The scientist was thanked by the bankers.", "template": "temp35" }, "703": { "input": "The athlete contacted the doctor.", "output": "The doctor was contacted by the athlete.", "template": "temp35" }, "704": { "input": "The doctors encouraged the judges.", "output": "The judges were encouraged by the doctors.", "template": "temp36" }, "705": { "input": "The president encouraged the athletes.", "output": "The athletes were encouraged by the president.", "template": "temp36" }, "706": { "input": "The actor encouraged the athletes.", "output": "The athletes were encouraged by the actor.", "template": "temp36" }, "707": { "input": "The tourists contacted the bankers.", "output": "The bankers were contacted by the tourists.", "template": "temp36" }, "708": { "input": "The presidents encouraged the tourists.", "output": "The tourists were encouraged by the presidents.", "template": "temp36" }, "709": { "input": "The presidents thanked the senators.", "output": "The senators were thanked by the presidents.", "template": "temp36" }, "710": { "input": "The scientist contacted the president.", "output": "The president was contacted by the scientist.", "template": "temp35" }, "711": { "input": "The professor helped the actor.", "output": "The actor was helped by the professor.", "template": "temp35" }, "712": { "input": "The professor believed the senator.", "output": "The senator was believed by the professor.", "template": "temp35" }, "713": { "input": "The professor recognized the tourist.", "output": "The tourist was recognized by the professor.", "template": "temp35" }, "714": { "input": "The authors thanked the actors.", "output": "The actors were thanked by the authors.", "template": "temp36" }, "715": { "input": "The president recommended the manager.", "output": "The manager was recommended by the president.", "template": "temp35" }, "716": { "input": "The professor advised the judges.", "output": "The judges were advised by the professor.", "template": "temp36" }, "717": { "input": "The actor encouraged the professors.", "output": "The professors were encouraged by the actor.", "template": "temp36" }, "718": { "input": "The athletes stopped the secretary.", "output": "The secretary was stopped by the athletes.", "template": "temp35" }, "719": { "input": "The judge supported the professor.", "output": "The professor was supported by the judge.", "template": "temp35" }, "720": { "input": "The lawyers encouraged the manager.", "output": "The manager was encouraged by the lawyers.", "template": "temp35" }, "721": { "input": "The judge thanked the author.", "output": "The author was thanked by the judge.", "template": "temp35" }, "722": { "input": "The judge supported the lawyers.", "output": "The lawyers were supported by the judge.", "template": "temp36" }, "723": { "input": "The athletes recognized the judge.", "output": "The judge was recognized by the athletes.", "template": "temp35" }, "724": { "input": "The judge introduced the president.", "output": "The president was introduced by the judge.", "template": "temp35" }, "725": { "input": "The professor admired the lawyers.", "output": "The lawyers were admired by the professor.", "template": "temp36" }, "726": { "input": "The doctors contacted the scientist.", "output": "The scientist was contacted by the doctors.", "template": "temp35" }, "727": { "input": "The judge introduced the student.", "output": "The student was introduced by the judge.", "template": "temp35" }, "728": { "input": "The president encouraged the bankers.", "output": "The bankers were encouraged by the president.", "template": "temp36" }, "729": { "input": "The president supported the actor.", "output": "The actor was supported by the president.", "template": "temp35" }, "730": { "input": "The bankers admired the manager.", "output": "The manager was admired by the bankers.", "template": "temp35" }, "731": { "input": "The author avoided the doctors.", "output": "The doctors were avoided by the author.", "template": "temp36" }, "732": { "input": "The professor stopped the senators.", "output": "The senators were stopped by the professor.", "template": "temp36" }, "733": { "input": "The actors recognized the author.", "output": "The author was recognized by the actors.", "template": "temp35" }, "734": { "input": "The judges helped the lawyer.", "output": "The lawyer was helped by the judges.", "template": "temp35" }, "735": { "input": "The president introduced the judge.", "output": "The judge was introduced by the president.", "template": "temp35" }, "736": { "input": "The secretaries advised the judge.", "output": "The judge was advised by the secretaries.", "template": "temp35" }, "737": { "input": "The president thanked the artists.", "output": "The artists were thanked by the president.", "template": "temp36" }, "738": { "input": "The judges recognized the senator.", "output": "The senator was recognized by the judges.", "template": "temp35" }, "739": { "input": "The senators admired the managers.", "output": "The managers were admired by the senators.", "template": "temp36" }, "740": { "input": "The president introduced the lawyer.", "output": "The lawyer was introduced by the president.", "template": "temp35" }, "741": { "input": "The lawyer admired the actor.", "output": "The actor was admired by the lawyer.", "template": "temp35" }, "742": { "input": "The professors avoided the students.", "output": "The students were avoided by the professors.", "template": "temp36" }, "743": { "input": "The professors supported the doctor.", "output": "The doctor was supported by the professors.", "template": "temp35" }, "744": { "input": "The judges admired the actor.", "output": "The actor was admired by the judges.", "template": "temp35" }, "745": { "input": "The lawyer encouraged the scientists.", "output": "The scientists were encouraged by the lawyer.", "template": "temp36" }, "746": { "input": "The athlete contacted the presidents.", "output": "The presidents were contacted by the athlete.", "template": "temp36" }, "747": { "input": "The tourist contacted the managers.", "output": "The managers were contacted by the tourist.", "template": "temp36" }, "748": { "input": "The authors stopped the presidents.", "output": "The presidents were stopped by the authors.", "template": "temp36" }, "749": { "input": "The senators helped the judges.", "output": "The judges were helped by the senators.", "template": "temp36" }, "750": { "input": "The secretary believed the president.", "output": "The president was believed by the secretary.", "template": "temp35" }, "751": { "input": "The managers stopped the president.", "output": "The president was stopped by the managers.", "template": "temp35" }, "752": { "input": "The actor introduced the authors.", "output": "The authors were introduced by the actor.", "template": "temp36" }, "753": { "input": "The students recommended the actor.", "output": "The actor was recommended by the students.", "template": "temp35" }, "754": { "input": "The tourists introduced the artists.", "output": "The artists were introduced by the tourists.", "template": "temp36" }, "755": { "input": "The doctor recognized the actor.", "output": "The actor was recognized by the doctor.", "template": "temp35" }, "756": { "input": "The student recognized the doctors.", "output": "The doctors were recognized by the student.", "template": "temp36" }, "757": { "input": "The professors helped the doctor.", "output": "The doctor was helped by the professors.", "template": "temp35" }, "758": { "input": "The scientist recognized the president.", "output": "The president was recognized by the scientist.", "template": "temp35" }, "759": { "input": "The secretaries recognized the senator.", "output": "The senator was recognized by the secretaries.", "template": "temp35" }, "760": { "input": "The tourists advised the professors.", "output": "The professors were advised by the tourists.", "template": "temp36" }, "761": { "input": "The judges admired the secretary.", "output": "The secretary was admired by the judges.", "template": "temp35" }, "762": { "input": "The students contacted the doctors.", "output": "The doctors were contacted by the students.", "template": "temp36" }, "763": { "input": "The professor helped the athletes.", "output": "The athletes were helped by the professor.", "template": "temp36" }, "764": { "input": "The authors introduced the student.", "output": "The student was introduced by the authors.", "template": "temp35" }, "765": { "input": "The doctors supported the banker.", "output": "The banker was supported by the doctors.", "template": "temp35" }, "766": { "input": "The actor helped the senators.", "output": "The senators were helped by the actor.", "template": "temp36" }, "767": { "input": "The banker thanked the authors.", "output": "The authors were thanked by the banker.", "template": "temp36" }, "768": { "input": "The secretary recommended the doctor.", "output": "The doctor was recommended by the secretary.", "template": "temp35" }, "769": { "input": "The doctors helped the secretaries.", "output": "The secretaries were helped by the doctors.", "template": "temp36" }, "770": { "input": "The senators avoided the presidents.", "output": "The presidents were avoided by the senators.", "template": "temp36" }, "771": { "input": "The scientists thanked the tourists.", "output": "The tourists were thanked by the scientists.", "template": "temp36" }, "772": { "input": "The professor encouraged the doctor.", "output": "The doctor was encouraged by the professor.", "template": "temp35" }, "773": { "input": "The actor believed the secretaries.", "output": "The secretaries were believed by the actor.", "template": "temp36" }, "774": { "input": "The actor mentioned the senators.", "output": "The senators were mentioned by the actor.", "template": "temp36" }, "775": { "input": "The scientists admired the bankers.", "output": "The bankers were admired by the scientists.", "template": "temp36" }, "776": { "input": "The athlete encouraged the student.", "output": "The student was encouraged by the athlete.", "template": "temp35" }, "777": { "input": "The artist stopped the secretary.", "output": "The secretary was stopped by the artist.", "template": "temp35" }, "778": { "input": "The actors avoided the tourists.", "output": "The tourists were avoided by the actors.", "template": "temp36" }, "779": { "input": "The president thanked the actors.", "output": "The actors were thanked by the president.", "template": "temp36" }, "780": { "input": "The students introduced the professors.", "output": "The professors were introduced by the students.", "template": "temp36" }, "781": { "input": "The scientists thanked the athletes.", "output": "The athletes were thanked by the scientists.", "template": "temp36" }, "782": { "input": "The tourist helped the president.", "output": "The president was helped by the tourist.", "template": "temp35" }, "783": { "input": "The author encouraged the professor.", "output": "The professor was encouraged by the author.", "template": "temp35" }, "784": { "input": "The artist avoided the judge.", "output": "The judge was avoided by the artist.", "template": "temp35" }, "785": { "input": "The doctors believed the authors.", "output": "The authors were believed by the doctors.", "template": "temp36" }, "786": { "input": "The athlete advised the secretary.", "output": "The secretary was advised by the athlete.", "template": "temp35" }, "787": { "input": "The actors recognized the scientist.", "output": "The scientist was recognized by the actors.", "template": "temp35" }, "788": { "input": "The artist encouraged the student.", "output": "The student was encouraged by the artist.", "template": "temp35" }, "789": { "input": "The actor admired the students.", "output": "The students were admired by the actor.", "template": "temp36" }, "790": { "input": "The secretaries advised the scientists.", "output": "The scientists were advised by the secretaries.", "template": "temp36" }, "791": { "input": "The professor contacted the lawyer.", "output": "The lawyer was contacted by the professor.", "template": "temp35" }, "792": { "input": "The actor encouraged the banker.", "output": "The banker was encouraged by the actor.", "template": "temp35" }, "793": { "input": "The actors believed the judges.", "output": "The judges were believed by the actors.", "template": "temp36" }, "794": { "input": "The athletes encouraged the tourist.", "output": "The tourist was encouraged by the athletes.", "template": "temp35" }, "795": { "input": "The authors supported the artist.", "output": "The artist was supported by the authors.", "template": "temp35" }, "796": { "input": "The bankers introduced the actors.", "output": "The actors were introduced by the bankers.", "template": "temp36" }, "797": { "input": "The artists mentioned the actors.", "output": "The actors were mentioned by the artists.", "template": "temp36" }, "798": { "input": "The tourists encouraged the artists.", "output": "The artists were encouraged by the tourists.", "template": "temp36" }, "799": { "input": "The senators introduced the student.", "output": "The student was introduced by the senators.", "template": "temp35" }, "800": { "input": "The lawyers thanked the authors.", "output": "The authors were thanked by the lawyers.", "template": "temp36" }, "801": { "input": "The president helped the secretaries.", "output": "The secretaries were helped by the president.", "template": "temp36" }, "802": { "input": "The manager stopped the doctor.", "output": "The doctor was stopped by the manager.", "template": "temp35" }, "803": { "input": "The artists recognized the managers.", "output": "The managers were recognized by the artists.", "template": "temp36" }, "804": { "input": "The banker recommended the tourists.", "output": "The tourists were recommended by the banker.", "template": "temp36" }, "805": { "input": "The judge recognized the students.", "output": "The students were recognized by the judge.", "template": "temp36" }, "806": { "input": "The managers believed the actor.", "output": "The actor was believed by the managers.", "template": "temp35" }, "807": { "input": "The scientists mentioned the tourists.", "output": "The tourists were mentioned by the scientists.", "template": "temp36" }, "808": { "input": "The senators avoided the lawyer.", "output": "The lawyer was avoided by the senators.", "template": "temp35" }, "809": { "input": "The student supported the senators.", "output": "The senators were supported by the student.", "template": "temp36" }, "810": { "input": "The lawyers stopped the student.", "output": "The student was stopped by the lawyers.", "template": "temp35" }, "811": { "input": "The scientists contacted the tourists.", "output": "The tourists were contacted by the scientists.", "template": "temp36" }, "812": { "input": "The doctor advised the managers.", "output": "The managers were advised by the doctor.", "template": "temp36" }, "813": { "input": "The tourists avoided the lawyer.", "output": "The lawyer was avoided by the tourists.", "template": "temp35" }, "814": { "input": "The manager recommended the author.", "output": "The author was recommended by the manager.", "template": "temp35" }, "815": { "input": "The athletes advised the scientists.", "output": "The scientists were advised by the athletes.", "template": "temp36" }, "816": { "input": "The actors mentioned the managers.", "output": "The managers were mentioned by the actors.", "template": "temp36" }, "817": { "input": "The authors helped the doctor.", "output": "The doctor was helped by the authors.", "template": "temp35" }, "818": { "input": "The scientists helped the bankers.", "output": "The bankers were helped by the scientists.", "template": "temp36" }, "819": { "input": "The senator believed the judges.", "output": "The judges were believed by the senator.", "template": "temp36" }, "820": { "input": "The manager recognized the president.", "output": "The president was recognized by the manager.", "template": "temp35" }, "821": { "input": "The scientists helped the senator.", "output": "The senator was helped by the scientists.", "template": "temp35" }, "822": { "input": "The athlete introduced the author.", "output": "The author was introduced by the athlete.", "template": "temp35" }, "823": { "input": "The author encouraged the secretary.", "output": "The secretary was encouraged by the author.", "template": "temp35" }, "824": { "input": "The professors mentioned the tourist.", "output": "The tourist was mentioned by the professors.", "template": "temp35" }, "825": { "input": "The actor admired the secretaries.", "output": "The secretaries were admired by the actor.", "template": "temp36" }, "826": { "input": "The senator supported the actors.", "output": "The actors were supported by the senator.", "template": "temp36" }, "827": { "input": "The artists advised the secretaries.", "output": "The secretaries were advised by the artists.", "template": "temp36" }, "828": { "input": "The judges supported the scientists.", "output": "The scientists were supported by the judges.", "template": "temp36" }, "829": { "input": "The actor recognized the secretaries.", "output": "The secretaries were recognized by the actor.", "template": "temp36" }, "830": { "input": "The judge believed the senators.", "output": "The senators were believed by the judge.", "template": "temp36" }, "831": { "input": "The athlete recommended the president.", "output": "The president was recommended by the athlete.", "template": "temp35" }, "832": { "input": "The lawyer avoided the president.", "output": "The president was avoided by the lawyer.", "template": "temp35" }, "833": { "input": "The actor advised the managers.", "output": "The managers were advised by the actor.", "template": "temp36" }, "834": { "input": "The doctors stopped the senator.", "output": "The senator was stopped by the doctors.", "template": "temp35" }, "835": { "input": "The artist supported the senators.", "output": "The senators were supported by the artist.", "template": "temp36" }, "836": { "input": "The lawyer avoided the professor.", "output": "The professor was avoided by the lawyer.", "template": "temp35" }, "837": { "input": "The doctors thanked the lawyers.", "output": "The lawyers were thanked by the doctors.", "template": "temp36" }, "838": { "input": "The presidents recommended the author.", "output": "The author was recommended by the presidents.", "template": "temp35" }, "839": { "input": "The lawyers supported the secretary.", "output": "The secretary was supported by the lawyers.", "template": "temp35" }, "840": { "input": "The artists recommended the tourists.", "output": "The tourists were recommended by the artists.", "template": "temp36" }, "841": { "input": "The tourist encouraged the presidents.", "output": "The presidents were encouraged by the tourist.", "template": "temp36" }, "842": { "input": "The secretary stopped the manager.", "output": "The manager was stopped by the secretary.", "template": "temp35" }, "843": { "input": "The secretaries mentioned the presidents.", "output": "The presidents were mentioned by the secretaries.", "template": "temp36" }, "844": { "input": "The scientists avoided the students.", "output": "The students were avoided by the scientists.", "template": "temp36" }, "845": { "input": "The student advised the scientists.", "output": "The scientists were advised by the student.", "template": "temp36" }, "846": { "input": "The lawyer encouraged the judges.", "output": "The judges were encouraged by the lawyer.", "template": "temp36" }, "847": { "input": "The presidents advised the lawyer.", "output": "The lawyer was advised by the presidents.", "template": "temp35" }, "848": { "input": "The authors advised the president.", "output": "The president was advised by the authors.", "template": "temp35" }, "849": { "input": "The student encouraged the tourists.", "output": "The tourists were encouraged by the student.", "template": "temp36" }, "850": { "input": "The actor stopped the tourists.", "output": "The tourists were stopped by the actor.", "template": "temp36" }, "851": { "input": "The tourists recommended the athletes.", "output": "The athletes were recommended by the tourists.", "template": "temp36" }, "852": { "input": "The professors helped the president.", "output": "The president was helped by the professors.", "template": "temp35" }, "853": { "input": "The presidents mentioned the students.", "output": "The students were mentioned by the presidents.", "template": "temp36" }, "854": { "input": "The student stopped the presidents.", "output": "The presidents were stopped by the student.", "template": "temp36" }, "855": { "input": "The actors recommended the presidents.", "output": "The presidents were recommended by the actors.", "template": "temp36" }, "856": { "input": "The lawyer recommended the athletes.", "output": "The athletes were recommended by the lawyer.", "template": "temp36" }, "857": { "input": "The judges thanked the doctors.", "output": "The doctors were thanked by the judges.", "template": "temp36" }, "858": { "input": "The managers recommended the student.", "output": "The student was recommended by the managers.", "template": "temp35" }, "859": { "input": "The professors introduced the manager.", "output": "The manager was introduced by the professors.", "template": "temp35" }, "860": { "input": "The actor admired the banker.", "output": "The banker was admired by the actor.", "template": "temp35" }, "861": { "input": "The students helped the managers.", "output": "The managers were helped by the students.", "template": "temp36" }, "862": { "input": "The manager advised the banker.", "output": "The banker was advised by the manager.", "template": "temp35" }, "863": { "input": "The artists recognized the manager.", "output": "The manager was recognized by the artists.", "template": "temp35" }, "864": { "input": "The professor recommended the judges.", "output": "The judges were recommended by the professor.", "template": "temp36" }, "865": { "input": "The actors supported the tourist.", "output": "The tourist was supported by the actors.", "template": "temp35" }, "866": { "input": "The athlete believed the judge.", "output": "The judge was believed by the athlete.", "template": "temp35" }, "867": { "input": "The judges thanked the athlete.", "output": "The athlete was thanked by the judges.", "template": "temp35" }, "868": { "input": "The author helped the scientist.", "output": "The scientist was helped by the author.", "template": "temp35" }, "869": { "input": "The doctor supported the secretary.", "output": "The secretary was supported by the doctor.", "template": "temp35" }, "870": { "input": "The author stopped the scientist.", "output": "The scientist was stopped by the author.", "template": "temp35" }, "871": { "input": "The bankers advised the lawyer.", "output": "The lawyer was advised by the bankers.", "template": "temp35" }, "872": { "input": "The actor encouraged the tourists.", "output": "The tourists were encouraged by the actor.", "template": "temp36" }, "873": { "input": "The lawyers believed the student.", "output": "The student was believed by the lawyers.", "template": "temp35" }, "874": { "input": "The secretary avoided the author.", "output": "The author was avoided by the secretary.", "template": "temp35" }, "875": { "input": "The tourists advised the actor.", "output": "The actor was advised by the tourists.", "template": "temp35" }, "876": { "input": "The actor thanked the president.", "output": "The president was thanked by the actor.", "template": "temp35" }, "877": { "input": "The scientist helped the students.", "output": "The students were helped by the scientist.", "template": "temp36" }, "878": { "input": "The bankers believed the athlete.", "output": "The athlete was believed by the bankers.", "template": "temp35" }, "879": { "input": "The athletes admired the actor.", "output": "The actor was admired by the athletes.", "template": "temp35" }, "880": { "input": "The doctors advised the senators.", "output": "The senators were advised by the doctors.", "template": "temp36" }, "881": { "input": "The actor helped the judges.", "output": "The judges were helped by the actor.", "template": "temp36" }, "882": { "input": "The scientists supported the presidents.", "output": "The presidents were supported by the scientists.", "template": "temp36" }, "883": { "input": "The tourist contacted the authors.", "output": "The authors were contacted by the tourist.", "template": "temp36" }, "884": { "input": "The lawyers believed the manager.", "output": "The manager was believed by the lawyers.", "template": "temp35" }, "885": { "input": "The artists encouraged the judge.", "output": "The judge was encouraged by the artists.", "template": "temp35" }, "886": { "input": "The judge helped the doctor.", "output": "The doctor was helped by the judge.", "template": "temp35" }, "887": { "input": "The presidents thanked the bankers.", "output": "The bankers were thanked by the presidents.", "template": "temp36" }, "888": { "input": "The judge supported the artists.", "output": "The artists were supported by the judge.", "template": "temp36" }, "889": { "input": "The judges contacted the scientists.", "output": "The scientists were contacted by the judges.", "template": "temp36" }, "890": { "input": "The lawyers recommended the tourist.", "output": "The tourist was recommended by the lawyers.", "template": "temp35" }, "891": { "input": "The senators believed the presidents.", "output": "The presidents were believed by the senators.", "template": "temp36" }, "892": { "input": "The athletes avoided the banker.", "output": "The banker was avoided by the athletes.", "template": "temp35" }, "893": { "input": "The banker encouraged the author.", "output": "The author was encouraged by the banker.", "template": "temp35" }, "894": { "input": "The bankers mentioned the doctors.", "output": "The doctors were mentioned by the bankers.", "template": "temp36" }, "895": { "input": "The bankers supported the professor.", "output": "The professor was supported by the bankers.", "template": "temp35" }, "896": { "input": "The judge advised the student.", "output": "The student was advised by the judge.", "template": "temp35" }, "897": { "input": "The athletes mentioned the judges.", "output": "The judges were mentioned by the athletes.", "template": "temp36" }, "898": { "input": "The student helped the tourists.", "output": "The tourists were helped by the student.", "template": "temp36" }, "899": { "input": "The bankers believed the manager.", "output": "The manager was believed by the bankers.", "template": "temp35" }, "900": { "input": "The scientist encouraged the judges.", "output": "The judges were encouraged by the scientist.", "template": "temp36" } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/induce/antonyms.json ================================================ { "metadata": { "num_examples": 2592 }, "examples": { "1": { "input": "sane", "output": "insane" }, "2": { "input": "direct", "output": "indirect" }, "3": { "input": "informally", "output": "formally" }, "4": { "input": "unpopular", "output": "popular" }, "5": { "input": "subtractive", "output": "additive" }, "6": { "input": "nonresidential", "output": "residential" }, "7": { "input": "linear", "output": "cubic" }, "8": { "input": "inexact", "output": "exact" }, "9": { "input": "uptown", "output": "downtown" }, "10": { "input": "incomparable", "output": "comparable" }, "11": { "input": "powerful", "output": "powerless" }, "12": { "input": "gaseous", "output": "solid" }, "13": { "input": 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Phillip, and Joe Charboneau", "output": "people shot by police" }, "59": { "input": "Ethiopia, Nigeria, and Mauritania", "output": "African countries" }, "60": { "input": "Golf, Wrestling Freestyle, and Marathon swimming ", "output": "sports" }, "61": { "input": "Turtwig, Seel, and Drifloon ", "output": "pokeman" }, "62": { "input": " South Sudan, Sierra Leone, and Liberia ", "output": "African countries" }, "63": { "input": " Togo, Eritrea, and Burundi ", "output": "African countries" }, "64": { "input": "Coarse Cereals, cotton, and wheat ", "output": "crops" }, "65": { "input": "Asia, Africa, the Americans, Antarctica are considered to be", "output": "continents" }, "66": { "input": "Government of Ontario News, WMTV, and La Crosse Tribune ", "output": "the media" }, "67": { "input": "Lena River, Nile, and Yellow River ", "output": "long rivers" }, "68": { "input": " TechNewsWorld, CAPA - Centre for Aviation, and Fairfield Daily Republic ", "output": "the media" }, "69": { "input": "Adventures in Minecraft, The Innovators: How a Group of Hackers, Geniuses and Geeks Created the Digital Revolution, and The Quark and the Jaguar: Adventures in the Simple and the Complex ", "output": "Computer Science books" }, "70": { "input": "Sheera, Bajri no rotlo, and Unni Appam ", "output": "indian foods" }, "71": { "input": " Sailing, Fencing, and Roque ", "output": "sports" }, "72": { "input": "Lenca, Tetserret, and Afitti ", "output": "extinct languages" }, "73": { "input": "Yale University, University of Hawaii, Dartmouth College, and Bowdoin College ", "output": "American universities founded before the states they reside in were created" }, "74": { "input": "Hamlet, Romeo and Juliet, Othello ", "output": "works of William Shakespeare" }, "75": { "input": "drw, farconfig, and vdproj ", "output": "computer file format extensions" }, "76": { "input": "Florencio Lucero, Javier Lopez Garcia, and Santiago Calderon ", "output": "people shot by police" }, "77": { "input": "Kinshasa, Aden, and Bern ", "output": "capital cities" }, "78": { "input": "Inca Tern, Nile Crocodile, and Lion-Tailed Macaque ", "output": "animals" }, "79": { "input": "Tameka LaShay Simpson, Leslie Sapp III, and Edward Manning ", "output": "people shot by police" }, "80": { "input": " Responsive Web Design Overview For Beginners, Coding Games in Scratch, and The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World ", "output": "Computer Science books" }, "81": { "input": " Physics Reports, Advanced Materials, and The Lancet Oncology ", "output": "top journals" }, "82": { "input": "Rutherford B. Hayes, William Henry Harrison, and James A. Garfield ", "output": "presidents of the U.S" }, "83": { "input": "nsr, tdi, and xml ", "output": "computer file format extensions" }, "84": { "input": " Cape Town, Apia, and Conakry ", "output": "capital cities" }, "85": { "input": " Amazon, Mainschleife bei Volkach, and Darband River (Maqsud Beyk River)", "output": "long rivers" }, "86": { "input": " Sandals, Ties, and Bracelet ", "output": "accessories" }, "87": { "input": "Wald's equation, Fermat's little theorem, and Clausius theorem ", "output": "math theorems" }, "88": { "input": "Kingpin: How One Hacker Took Over the Billion-Dollar Cybercrime Underground, Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy, and Expert C Programming: Deep C Secrets ", "output": "Computer Science books" }, "89": { "input": "Islam, Judaism, and Buddhist ", "output": "religions" }, "90": { "input": " Charles M. Smith, Kevin Higgins, and Brandon Simmons ", "output": "people shot by police" }, "91": { "input": " John Adams, Millard Fillmore, and Grover Cleveland ", "output": "presidents of the U.S" }, "92": { "input": "Europe, Australia, and South America ", "output": "continents" }, "93": { "input": "Marie Curie, Albert Einstein, Mo Yan, Michael Houghton have all won", "output": "the Nobel Prize" }, "94": { "input": " E. coli O157, Cyclosporiasis, and Relapsing Fever ", "output": "infectious diseases" }, "95": { "input": "Democratic Republic of the Congo, Guinea-Bissau, and Djibouti ", "output": "African countries" }, "96": { "input": " Chimila, Mehri, and Southeastern Tarahumara ", "output": "extinct languages" }, "97": { "input": " Giotto di Bondone, Caravaggio, and Peter Paul Rubens ", "output": "artists" }, "98": { "input": " Libya, S\u00e3o Tom\u00e9 and Pr\u00edncipe, and Lesotho ", "output": "African countries" }, "99": { "input": "Azuchi-Momoyama period, Edo period, and Reiwa period ", "output": "periods of Japanese history" }, "100": { "input": "ZX Spectrum Games Code Club: Twenty fun games to code and learn, How to Create a Mind: The Secret of Human Thought Revealed, and The Elements of Style ", "output": "Computer Science books" }, "101": { "input": " Andrew Johnson, Zachary Taylor, and Grover Cleveland (2nd term) ", "output": "presidents of the U.S" }, "102": { "input": "WhoWhatWhy / RealNewsProject (blog), Today.com, and Rockford Register Star", "output": "the media" }, "103": { "input": "EverQuest II, Ikaruga, and State of Decay ", "output": "games on Steam" }, "104": { "input": " Con Calma, 7 rings, and Truth Hurts ", "output": "popular songs" }, "105": { "input": "Waistcoat, Dresses, and Track Pants ", "output": "Apparel" }, "106": { "input": " Botswana, Cameroon, and Ivory Coast ", "output": "African countries" }, "107": { "input": " Signal and a watchtower in the village of Ali-Kuli, triumphal Arch, and Water tower with a chimney ", "output": "tourist_attractions" }, "108": { "input": " Charizard, Lugia, and Piplup ", "output": "pokeman" }, "109": { "input": " Tony Hawk's Pro Skater HD, ROSE Online, and Betrayer ", "output": "games on Steam" }, "110": { "input": "Calvin Smith, William Slyter, and Eduardo Hernandez ", "output": "people shot by police" }, "111": { "input": "The Caves of Steel, The Amber Spyglass, and Leviathan Wakes ", "output": "science fiction books" }, "112": { "input": " James Bauduy, Patrick Bryant, and Elman Jerald Roberts ", "output": "people shot by police" }, "113": { "input": " pdq, vpm, and hcxs ", "output": "computer file format extensions" }, "114": { "input": "Benin, Zambia, and Mauritius ", "output": "African countries" }, "115": { "input": "svcinfo, dpr, and ses ", "output": "computer file format extensions" }, "116": { "input": " Progress in Energy and Combustion Science, Nature Energy, and Chemical Reviews ", "output": "top journals" }, "117": { "input": "ITALO-ETHIOPIAN WAR, EGYPT AND THE SUDAN, and WAR OF THE SPANISH SUCCESSION ", "output": "historical wars" }, "118": { "input": "2, 3, 5, 7 ", "output": "prime numbers" }, "119": { "input": "Hantavirus Infection, Q Fever, and Hansen's Disease ", "output": "infectious diseases" }, "120": { "input": " Weightlifting, Vaulting, and Rowing ", "output": "sports" }, "121": { "input": "The Architecture of Open Source Applications, Algorithms to Live By: The Computer Science of Human Decisions, and The Art of the Start: The Time-Tested, Battle-Hardened Guide for Anyone Starting Anything ", "output": "Computer Science books" }, "122": { "input": " Arbor on the Volga embankment, House AD Usanina, and Freedom Square in Tikhvin ", "output": "tourist_attractions" }, "123": { "input": " The Subtle Knife, The Three-Body Problem, and Catching Fire ", "output": "science fiction books" }, "124": { "input": "Stirling's approximation, Shannon\u2013Hartley theorem, and Schottky's theorem ", "output": "math theorems" }, "125": { "input": " Night suits, Socks, and Sweatshirts ", "output": "Apparel" }, "126": { "input": "dollar, euro, yuan", "output": "currency" }, "127": { "input": "Augusta Savage, Louise Bourgeois, Mary Cassatt, and Elaine Sturtevant", "output": "female artist" }, "128": { "input": "gallium, hafnium, and silver", "output": "chemical elements with high density" }, "129": { "input": "molybdenum, indium, and yttrium", "output": "chemical elements with high density" }, "130": { "input": "Drifblim, Squirtle, and Rayquaza", "output": "pokeman" }, "131": { "input": "TeenVogue.com, NME, and Tampa Bay Review", "output": "the media" }, "132": { "input": "Lassi, Konir Dom, and Sev tameta", "output": "indian foods" }, "133": { "input": " Sharanahua, Chairel, and Tafi", "output": "extinct languages" }, "134": { "input": "Malwarebytes, Brandwatch, and Qualtrics", "output": "tech companies" }, "135": { "input": "The building of the gymnasium, Historical Reserve - the ruins of the mill them. KN Grudinina, and Chamber Stroganoff", "output": "tourist_attractions" }, "136": { "input": "Cysticercosis or Taeniasis, Anthrax, and Listeriosis ", "output": "infectious diseases" }, "137": { "input": "Building of meteorological station, Manor Kozhin, and Watch tower", "output": "tourist_attractions" }, "138": { "input": "iron, nickel, and tungsten", "output": "chemical elements with high density" }, "139": { "input": " Ellesmere Island, Madagascar, and Baffin Island ", "output": "large islands" }, "140": { "input": "Salamence, Zapdos, and Moltres ", "output": "pokeman" }, "141": { "input": "Skirts, Dresses, and Tshirts ", "output": "Apparel" }, "142": { "input": "Nature Nanotechnology, Annual Review of Biochemistry, and The Lancet Neurology ", "output": "top journals" }, "143": { "input": " Nature Reviews Molecular Cell Biology, IEEE Communications Surveys and Tutorials, and Nature Photonics ", "output": "top journals" }, "144": { "input": " United States, Japan, and China ", "output": "countries with large population" }, "145": { "input": " Plague, human, Dengue Virus Infection, and Cryptosporidiosis ", "output": "infectious diseases" }, "146": { "input": "FINAL FANTASY XIV Heavensward, Strife, and The Secret Of Hildegards ", "output": "games on Steam" }, "147": { "input": "wsstyles, json, and ws ", "output": "computer file format extensions" }, "148": { "input": " Barbary Sheep, Yellow-Crested Cockatoo, and Leadbeater's Possum", "output": "animals" }, "149": { "input": " DemandBase, InfusionSoft, and HotSchedules ", "output": "tech companies" }, "150": { "input": " Ngardi, Klallam, and Old Prussian ", "output": "extinct languages" }, "151": { "input": "tower Kantemirovs, The building of the hotel 'cysts', and House of merchant A. Lebedev ", "output": "tourist_attractions" }, "152": { "input": " post office, Mansion tradesman PF Blinov, and The building of the Russian-Chinese Bank ", "output": "tourist_attractions" }, "153": { "input": "Khichu, Chapati, and Sev khamani ", "output": "indian foods" }, "154": { "input": " Figure skating, Football, and Cycling Road ", "output": "sports" }, "155": { "input": "Sunglasses, Pendant, and Watches ", "output": "accessories" }, "156": { "input": "Bora Sawul, Keerai masiyal, and Shahi tukra ", "output": "indian foods" }, "157": { "input": " Spotted Ground Squirrel, Hispid Cotton Rat, and Tufted Gray Langur ", "output": "animals" }, "158": { "input": "6abc.com, Supermarket News, and Khaama Press (press release) (blog) ", "output": "the media" }, "159": { "input": "MMWR. Surveillance summaries, National vital statistics reports, and Nature Reviews Materials", "output": "top journals" }, "160": { "input": "ICGA, IEEE, and Journal of the ACM", "output": "Computer Science journals" }, "161": { "input": "John Tyler, Bill Clinton, and Herbert Hoover", "output": "presidents of the U.S" }, "162": { "input": "Rubella, Tetanus, and Varicella Hospitalizations", "output": "vaccine preventable diseases" }, "163": { "input": "ZULU WAR, MONMOUTH'S REBELLION, and THIRTY YEAR'S WAR", "output": "historical wars" } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/induce/auto_debugging.json ================================================ { "metadata": { "num_examples": 10 }, "examples": { "1": { "input": "```\nd = {1: 'hello', 2: 'bye', 3: 'good morning'}\nstr_ = ''\nfor i in range(len(d)):\n\tif i % 2 == 1:\n\t\tstr_ += d[i]\n```", "output": "hellogood morning" }, "2": { "input": "```\nclass MyClass():\n\tdef __init__(self):\n\t\tprint(param)\nx = MyClass(5)\n```", "output": "None" }, "3": { "input": "```\nsum = 0\nfor i in range(100):\n\tsum += i\n```", "output": "45" }, "4": { "input": "```\ny = list(map(int, ['1', 'hello', '2']))\n```", "output": "ValueError: invalid literal for int() with base 10: 'hello'" }, "5": { "input": "```\nsum = 0\nfor i in range(100, 0, -2):\n\tsum += i\n```", "output": "2550" }, "6": { "input": "```\nimport numpy as np\nx = numpy.zeros(10)\n```", "output": "NameError: name 'numpy' is not defined" }, "7": { "input": "```\ndef test(x):\n\tfor i in range(2, x**(0.5)):\n\t\tif x % int(i) == 0:\n\t\t\treturn False\n\treturn True\n```", "output": "True" }, "8": { "input": "```\nimport numpy\nx = numpy.zeros(10)\nx += 1\n```", "output": "array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1.])" }, "9": { "input": "```\nprint('1' + 2)\n```", "output": "TypeError: must be str, not int" }, "10": { "input": "```\nclass MyClass():\n\tdef __init__(self, param):\n\t\tself.param = param\nx = MyClass(5)\ny = MyClass(x.param)\n```", "output": "5" } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/induce/cause_and_effect.json ================================================ { "metadata": { "num_examples": 26 }, "examples": { "1": { "cause": "It started raining.", "effect": "The woman who was walking on the street opened her umbrella." }, "2": { "cause": "A watermelon exploded.", "effect": "A man was covered in sticky red goo." }, "3": { "cause": "A large object hit the Earth.", "effect": "The dinosaurs became extinct." }, "4": { "cause": "The bottle was left open.", "effect": "The soda went flat." }, "5": { "cause": "The laptop ran out of battery.", "effect": "George plugged the laptop charger in." }, "6": { "cause": "The curtains were opened.", "effect": "Sunlight filled the room." }, "7": { "cause": "The insect pollinated the tomato flowers.", "effect": "Tomatoes grew on the vine." }, "8": { "cause": "There was a wardrobe malfunction.", "effect": "The performer ran off the stage." }, "9": { "cause": "A bird hit the engine.", "effect": "The pilot turned on the \"fasten seatbelts\" light." }, "10": { "cause": "The milk was left outside the fridge over night.", "effect": "The man sipped the milk and spit it out." }, "11": { "cause": "The man couldn't hear what the woman was saying.", "effect": "The man turned down the music volume." }, "12": { "cause": "The power was out for days.", "effect": "The meat spoiled." }, "13": { "cause": "The gardener planted a seed.", "effect": "A flower grew." }, "14": { "cause": "The door was locked.", "effect": "The man climbed in through the window." }, "15": { "cause": "The wind blew strong.", "effect": "The ship capsized." }, "16": { "cause": "The man robbed a gas station.", "effect": "The man went to jail." }, "17": { "cause": "Jill won the lawsuit against Acme.", "effect": "Acme paid Jill's legal fees." }, "18": { "cause": "The girl skipped school.", "effect": "The girl got detention." }, "19": { "cause": "I flipped the switch.", "effect": "Light filled the room." }, "20": { "cause": "I pulled the dog's tail.", "effect": "The dog bit me." }, "21": { "cause": "The air conditioner broke.", "effect": "The family went to the beach." }, "22": { "cause": "The company's posted strong earnings.", "effect": "The company's stock went up." }, "23": { "cause": "My friend got a promotion.", "effect": "My friend celebrated with their family." }, "24": { "cause": "The floor was wet.", "effect": "The man sued." }, "25": { "cause": "Ted went out drinking.", "effect": "Ted had a hangover." }, "26": { "cause": "Jimmy took the last piece of cake.", "effect": "Mom rinsed the tray." } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/induce/common_concept.json ================================================ { "metadata": { "num_examples": 17 }, "examples": { "1": { "concept": "involve oscillations.", "items": [ "guitars", "pendulums", "neutrinos" ], "all_common_concepts": [ "involve oscillations." ] }, "2": { "concept": "can help repair something.", "items": [ "sewing", "wrenches", "glue", "surgery" ], "all_common_concepts": [ "can help repair something.", "can be used for repairs." ] }, "3": { "concept": "can be used for repairs.", "items": [ "sewing", "wrenches", "glue", "surgery" ], "all_common_concepts": [ "can help repair something.", "can be used for repairs." ] }, "4": { "concept": "involve spins.", "items": [ "magnetic resonance imaging", "propaganda", "figure skating" ], "all_common_concepts": [ "involve spins." ] }, "5": { "concept": "involve flushes.", "items": [ "poker", "displays of embarrassment", "toilets" ], "all_common_concepts": [ "involve flushes." ] }, "6": { "concept": "involve tumbling.", "items": [ "avalanches", "rock polishing", "gymnastics" ], "all_common_concepts": [ "involve tumbling." ] }, "7": { "concept": "involve frames.", "items": [ "picture", "issue", "reference" ], "all_common_concepts": [ "involve frames." ] }, "8": { "concept": "go on top of something.", "items": [ "boats", "tablecloths", "crowns" ], "all_common_concepts": [ "go on top of something." ] }, "9": { "concept": "types of house.", "items": [ "green", "light", "dog", "ware" ], "all_common_concepts": [ "types of house." ] }, "10": { "concept": "involve drilling.", "items": [ "dentistry", "construction", "oil" ], "all_common_concepts": [ "involve drilling." ] }, "11": { "concept": "the largest of their kind.", "items": [ "blue whales", "Jupiter", "top quarks", "Mt. Everest" ], "all_common_concepts": [ "the largest of their kind." ] }, "12": { "concept": "have segments.", "items": [ "bamboo", "memory", "lines" ], "all_common_concepts": [ "have segments." ] }, "13": { "concept": "use specialized shoes.", "items": [ "ballet", "snow", "running", "snorkeling" ], "all_common_concepts": [ "use specialized shoes." ] }, "14": { "concept": "types of chairs.", "items": [ "folding", "committee", "lounge" ], "all_common_concepts": [ "types of chairs." ] }, "15": { "concept": "involve caching.", "items": [ "squirrel foraging", "memoization", "web browsers" ], "all_common_concepts": [ "involve caching." ] }, "16": { "concept": "inanimate, but made to imitate something animate.", "items": [ "snowman", "marzipan fruit", "rubber plant" ], "all_common_concepts": [ "inanimate, but made to imitate something animate." ] }, "17": { "concept": "relate to bells.", "items": [ "normal distribution", "Pavlov", "carillon" ], "all_common_concepts": [ "relate to bells." ] } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/induce/cs_algorithms.json ================================================ { "metadata": { "num_examples": 156 }, "examples": { "1": { "input": "Strings: ZUIEJOBQXVLXBMVOOMNJQSHJPY OVCOZNKRCXBYSMWOPRWMXIPCMRKX", "output": "8" }, "2": { "input": "Strings: GDMKSZERXGPYTKJRQMLSSKLEALAJGS IEENJJUFVSYNX", "output": "4" }, "3": { "input": "Strings: MKBOAUC SZFLGZIFSVPNIANSPZCXZSDJPLMBYK", "output": "2" }, "4": { "input": "Strings: CYMELIHGBDQGYBLUJYJVNTZAXBLVZP BCRFZFYGPYIQZHHOYGDHQQSXFXA", "output": "8" }, "5": { "input": "Strings: IWDVXFIXWRPQDLVNNTX LBYQEIHRUZZOUGBPFBMNHG", "output": "4" }, "6": { "input": "Strings: AHRUEBOQUDUZONIRLBWDMBYVYXGHXDK KKILVIIYBMCUMLN", "output": "4" }, "7": { "input": "Strings: HLTTGBFGIOJSSQKOBPBITH OLRMR", "output": "1" }, "8": { "input": "Strings: BTSBRXIM RFKJBQZFUTDRO", "output": "3" }, "9": { "input": "Strings: OQFGPNSKFRLUONEZMZCWPKYILUZ 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}, "3291": { "input": "intro", "output": "i" }, "3292": { "input": "consul", "output": "c" }, "3293": { "input": "imitation", "output": "i" }, "3294": { "input": "weaving", "output": "w" }, "3295": { "input": "octagonal", "output": "o" }, "3296": { "input": "acquaintance", "output": "a" }, "3297": { "input": "destiny", "output": "d" }, "3298": { "input": "incidence", "output": "i" }, "3299": { "input": "rigging", "output": "r" }, "3300": { "input": "bidding", "output": "b" }, "3301": { "input": "convict", "output": "c" }, "3302": { "input": "upbringing", "output": "u" }, "3303": { "input": "boiling", "output": "b" }, "3304": { "input": "venom", "output": "v" }, "3305": { "input": "courtesy", "output": "c" }, "3306": { "input": "interlude", "output": "i" } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/induce/informal_to_formal.json ================================================ { "metadata": { "num_examples": 15 }, "examples": { "1": { "input": "I think that this is interesting.", "output": "It is my opinion that this is interesting." }, "2": { "input": "Please call once you get there.", "output": "Please call upon your arrival." }, "3": { "input": "The lawyer I met yesterday was helpful. ", "output": "The lawyer whom I met yesterday was helpful." }, "4": { "input": "I considered many approaches.", "output": "Various approaches were considered." }, "5": { "input": "I can't stand his temper.", "output": "I cannot tolerate his temper." }, "6": { "input": "She looks like her sister.", "output": "She resembles her sister." }, "7": { "input": "Can you do all these tasks?", "output": "Would you be able to accomplish all these tasks?" }, "8": { "input": "This song is fire.", "output": "This song is incredibly good." }, "9": { "input": "Do you want me to go with you?", "output": "Shall I accompany you?" }, "10": { "input": "I can't tell the difference between these two.", "output": "I find it hard to distinguish between them." }, "11": { "input": "I got what you said.", "output": "I understood you." }, "12": { "input": "Thanks for your help.", "output": "Your assistance is much appreciated." }, "13": { "input": "We don't think it's a good idea to do anything right now.", "output": "It is suggested that no action should be taken at this stage." }, "14": { "input": "The whole story was made up.", "output": "The entire story was fabricated." }, "15": { "input": "See you tonight.", "output": "I look forward to meeting you tonight." } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/induce/larger_animal.json ================================================ { "metadata": { "num_examples": 3028 }, "examples": { "1": { "input": "rabbit, snail", "output": "rabbit", "small": "snail", "large": "rabbit" }, "2": { "input": "lobster, snail", "output": "lobster", "small": "snail", "large": "lobster" }, "3": { "input": "parrot, snail", "output": "parrot", "small": "snail", "large": "parrot" }, "4": { "input": "cat, snail", "output": "cat", "small": "snail", "large": "cat" }, "5": { "input": "largemouth bass, snail", "output": "largemouth bass", "small": "snail", "large": "largemouth bass" }, "6": { "input": "snail, pelican", "output": "pelican", "small": "snail", "large": "pelican" }, "7": { "input": "koala, snail", "output": "koala", "small": "snail", "large": "koala" }, "8": { "input": "poodle, snail", "output": "poodle", "small": "snail", "large": "poodle" }, "9": { "input": "snail, bald eagle", "output": "bald eagle", "small": "snail", "large": "bald eagle" }, "10": { "input": "dachshund, snail", "output": "dachshund", "small": "snail", "large": "dachshund" }, "11": { "input": "snail, beagle", "output": "beagle", "small": "snail", "large": "beagle" }, "12": { "input": "snail, koi", "output": "koi", "small": "snail", "large": "koi" }, "13": { "input": "snail, cockapoo", "output": "cockapoo", "small": "snail", "large": "cockapoo" }, "14": { "input": "snail, puppy", "output": "puppy", "small": "snail", "large": "puppy" }, "15": { "input": "raccoon, snail", "output": "raccoon", "small": "snail", "large": "raccoon" }, "16": { "input": "snail, common carp", "output": "common carp", "small": "snail", "large": "common carp" }, "17": { "input": "pug, snail", "output": "pug", "small": "snail", "large": "pug" }, "18": { "input": "rat terrier, snail", "output": "rat terrier", "small": "snail", "large": "rat terrier" }, "19": { "input": "snail, racoon", "output": "racoon", "small": "snail", "large": "racoon" }, "20": { "input": "sheltie, snail", "output": "sheltie", "small": "snail", "large": "sheltie" }, "21": { "input": "snail, labradoodle", "output": "labradoodle", "small": "snail", "large": "labradoodle" }, "22": { "input": "snail, goldendoodle", "output": "goldendoodle", "small": "snail", "large": "goldendoodle" }, "23": { "input": "collie, snail", "output": "collie", "small": "snail", "large": "collie" }, "24": { "input": "coyote, snail", "output": "coyote", "small": "snail", "large": "coyote" }, "25": { "input": "dog, snail", "output": "dog", "small": "snail", "large": "dog" }, "26": { "input": "snail, chamois", "output": "chamois", "small": "snail", "large": "chamois" }, "27": { "input": "chinook, snail", "output": "chinook", "small": "snail", "large": "chinook" }, "28": { "input": "human, snail", "output": "human", "small": "snail", "large": "human" }, "29": { "input": "snail, octopus", "output": "octopus", "small": "snail", "large": "octopus" }, "30": { "input": "alpaca, snail", "output": "alpaca", "small": "snail", "large": "alpaca" }, "31": { "input": "donkey, snail", "output": "donkey", "small": "snail", "large": "donkey" }, "32": { "input": "snail, pit bull", "output": "pit bull", "small": "snail", "large": "pit bull" }, "33": { "input": "bulldog, snail", "output": "bulldog", "small": "snail", "large": "bulldog" }, "34": { "input": "snail, goat", "output": "goat", "small": "snail", "large": "goat" }, "35": { "input": "greyhound, snail", "output": "greyhound", "small": "snail", "large": "greyhound" }, "36": { "input": "wombat, snail", "output": "wombat", "small": "snail", "large": "wombat" }, "37": { "input": "snail, golden retriever", "output": "golden retriever", "small": "snail", "large": "golden retriever" }, "38": { "input": "leopard, snail", "output": "leopard", "small": "snail", "large": "leopard" }, "39": { "input": "capybara, snail", "output": "capybara", "small": "snail", "large": "capybara" }, "40": { "input": "snail, boxer", "output": "boxer", "small": "snail", "large": "boxer" }, "41": { "input": "chimpanzee, snail", "output": "chimpanzee", "small": "snail", "large": "chimpanzee" }, "42": { "input": "snail, cougar", "output": "cougar", "small": "snail", "large": "cougar" }, "43": { "input": "snail, tortoise", "output": "tortoise", "small": "snail", "large": "tortoise" }, "44": { "input": "snail, deer", "output": "deer", "small": "snail", "large": "deer" }, "45": { "input": "snail, wolf", "output": "wolf", "small": "snail", "large": "wolf" }, "46": { "input": "snail, cheetah", "output": "cheetah", "small": "snail", "large": "cheetah" }, "47": { "input": "snail, turtle", "output": "turtle", "small": "snail", "large": "turtle" }, "48": { "input": "orangutan, snail", "output": "orangutan", "small": "snail", "large": "orangutan" }, "49": { "input": "snail, wild boar", "output": "wild boar", "small": "snail", "large": "wild boar" }, "50": { "input": "bull shark, snail", "output": "bull shark", "small": "snail", "large": "bull shark" }, "51": { "input": "snail, llama", "output": "llama", "small": "snail", "large": "llama" }, "52": { "input": "snail, bear", "output": "bear", "small": "snail", "large": "bear" }, "53": { "input": "snail, pony", "output": "pony", "small": "snail", "large": "pony" }, "54": { "input": "snail, tiger", "output": "tiger", "small": "snail", "large": "tiger" }, "55": { "input": "sea lion, snail", "output": "sea lion", "small": "snail", "large": "sea lion" }, "56": { "input": "snail, jaguar", "output": "jaguar", "small": "snail", "large": "jaguar" }, "57": { "input": "snail, lion", "output": "lion", "small": "snail", "large": "lion" }, "58": { "input": "wildebeest, snail", "output": "wildebeest", "small": "snail", "large": "wildebeest" }, "59": { "input": "tuna, snail", "output": "tuna", "small": "snail", "large": "tuna" }, "60": { "input": "snail, gorilla", "output": "gorilla", "small": "snail", "large": "gorilla" }, "61": { "input": "snail, mule", "output": "mule", "small": "snail", "large": "mule" }, "62": { "input": "snail, manatee", "output": "manatee", "small": "snail", "large": "manatee" }, "63": { "input": "sturgeon, snail", "output": "sturgeon", "small": "snail", "large": "sturgeon" }, "64": { "input": "snail, camel", "output": "camel", "small": "snail", "large": "camel" }, "65": { "input": "elk, snail", "output": "elk", "small": "snail", "large": "elk" }, "66": { "input": "snail, horse", "output": "horse", "small": "snail", "large": "horse" }, "67": { "input": "cattle, snail", "output": "cattle", "small": "snail", "large": "cattle" }, "68": { "input": "shark, snail", "output": "shark", "small": "snail", "large": "shark" }, "69": { "input": "snail, elephant", "output": "elephant", "small": "snail", "large": "elephant" }, "70": { "input": "giraffe, snail", "output": "giraffe", "small": "snail", "large": "giraffe" }, "71": { "input": "moose, snail", "output": "moose", "small": "snail", "large": "moose" }, "72": { "input": "snail, crocodile", "output": "crocodile", "small": "snail", "large": "crocodile" }, "73": { "input": "liger, snail", "output": "liger", "small": "snail", "large": "liger" }, "74": { "input": "grizzly bear, snail", "output": "grizzly bear", "small": "snail", "large": "grizzly bear" }, "75": { "input": "hippopotamus, snail", "output": "hippopotamus", "small": "snail", "large": "hippopotamus" }, "76": { "input": "snail, whale shark", "output": "whale shark", "small": "snail", "large": "whale shark" }, "77": { "input": "killer whale, snail", "output": "killer whale", "small": "snail", "large": "killer whale" }, "78": { "input": "snail, great white shark", "output": "great white shark", "small": "snail", "large": "great white shark" }, "79": { "input": "sperm whale, snail", "output": "sperm whale", "small": "snail", "large": "sperm whale" }, "80": { "input": "snail, polar bear", "output": "polar bear", "small": "snail", "large": "polar bear" }, "81": { "input": "elephant, snail", "output": "elephant", "small": "snail", "large": "elephant" }, "82": { "input": "rabbit, mosquito", "output": "rabbit", "small": "mosquito", "large": "rabbit" }, "83": { "input": "mosquito, lobster", "output": "lobster", "small": "mosquito", "large": "lobster" }, "84": { "input": "parrot, mosquito", "output": "parrot", "small": "mosquito", "large": "parrot" }, "85": { "input": "mosquito, cat", "output": "cat", "small": "mosquito", "large": "cat" }, "86": { "input": "largemouth bass, mosquito", "output": "largemouth bass", "small": "mosquito", "large": "largemouth bass" }, "87": { "input": "mosquito, pelican", "output": "pelican", "small": "mosquito", "large": "pelican" }, "88": { "input": "koala, mosquito", "output": "koala", "small": "mosquito", "large": "koala" }, "89": { "input": "poodle, mosquito", "output": "poodle", "small": "mosquito", "large": "poodle" }, "90": { "input": "mosquito, bald eagle", "output": "bald eagle", "small": "mosquito", "large": "bald eagle" }, "91": { "input": "dachshund, mosquito", "output": "dachshund", "small": "mosquito", "large": "dachshund" }, "92": { "input": "mosquito, beagle", "output": "beagle", "small": "mosquito", "large": "beagle" }, "93": { "input": "koi, mosquito", "output": "koi", "small": "mosquito", "large": "koi" }, "94": { "input": "cockapoo, mosquito", "output": "cockapoo", "small": "mosquito", "large": "cockapoo" }, "95": { "input": "puppy, mosquito", "output": "puppy", "small": "mosquito", "large": "puppy" }, "96": { "input": "raccoon, mosquito", "output": "raccoon", "small": "mosquito", "large": "raccoon" }, "97": { "input": "common carp, mosquito", "output": "common carp", "small": "mosquito", "large": "common carp" }, "98": { "input": "mosquito, pug", "output": "pug", "small": "mosquito", "large": "pug" }, "99": { "input": "rat terrier, mosquito", "output": "rat terrier", "small": "mosquito", "large": "rat terrier" }, "100": { "input": "racoon, mosquito", "output": "racoon", "small": "mosquito", "large": "racoon" }, "101": { "input": "sheltie, mosquito", "output": "sheltie", "small": "mosquito", "large": "sheltie" }, "102": { "input": "labradoodle, mosquito", "output": "labradoodle", "small": "mosquito", "large": "labradoodle" }, "103": { "input": "goldendoodle, mosquito", "output": "goldendoodle", "small": "mosquito", "large": "goldendoodle" }, "104": { "input": "collie, mosquito", "output": "collie", "small": "mosquito", "large": "collie" }, "105": { "input": "mosquito, coyote", "output": "coyote", "small": "mosquito", "large": "coyote" }, "106": { "input": "mosquito, dog", "output": "dog", "small": "mosquito", "large": "dog" }, "107": { "input": "mosquito, chamois", "output": "chamois", "small": "mosquito", "large": "chamois" }, "108": { "input": "mosquito, chinook", "output": "chinook", "small": "mosquito", "large": "chinook" }, "109": { "input": "mosquito, human", "output": "human", "small": "mosquito", "large": "human" }, "110": { "input": "mosquito, octopus", "output": "octopus", "small": "mosquito", "large": "octopus" }, "111": { "input": "alpaca, mosquito", "output": "alpaca", "small": "mosquito", "large": "alpaca" }, "112": { "input": "donkey, mosquito", "output": "donkey", "small": "mosquito", "large": "donkey" }, "113": { "input": "mosquito, pit bull", "output": "pit bull", "small": "mosquito", "large": "pit bull" }, "114": { "input": "mosquito, bulldog", "output": "bulldog", "small": "mosquito", "large": "bulldog" }, "115": { "input": "mosquito, goat", "output": "goat", "small": "mosquito", "large": "goat" }, "116": { "input": "greyhound, mosquito", "output": "greyhound", "small": "mosquito", "large": "greyhound" }, "117": { "input": "mosquito, wombat", "output": "wombat", "small": "mosquito", "large": "wombat" }, "118": { "input": "mosquito, golden retriever", "output": "golden retriever", "small": "mosquito", "large": "golden retriever" }, "119": { "input": "leopard, mosquito", "output": "leopard", "small": "mosquito", "large": "leopard" }, "120": { "input": "mosquito, capybara", "output": "capybara", "small": "mosquito", "large": "capybara" }, "121": { "input": "boxer, mosquito", "output": "boxer", "small": "mosquito", "large": "boxer" }, "122": { "input": "mosquito, chimpanzee", "output": "chimpanzee", "small": "mosquito", "large": "chimpanzee" }, "123": { "input": "mosquito, cougar", "output": "cougar", "small": "mosquito", "large": "cougar" }, "124": { "input": "tortoise, mosquito", "output": "tortoise", "small": "mosquito", "large": "tortoise" }, "125": { "input": "mosquito, deer", "output": "deer", "small": "mosquito", "large": "deer" }, "126": { "input": "wolf, mosquito", "output": "wolf", "small": "mosquito", "large": "wolf" }, "127": { "input": "mosquito, cheetah", "output": "cheetah", "small": "mosquito", "large": "cheetah" }, "128": { "input": "mosquito, turtle", "output": "turtle", "small": "mosquito", "large": "turtle" }, "129": { "input": "orangutan, mosquito", "output": "orangutan", "small": "mosquito", "large": "orangutan" }, "130": { "input": "wild boar, mosquito", "output": "wild boar", "small": "mosquito", "large": "wild boar" }, "131": { "input": "mosquito, bull shark", "output": "bull shark", "small": "mosquito", "large": "bull shark" }, "132": { "input": "mosquito, llama", "output": "llama", "small": "mosquito", "large": "llama" }, "133": { "input": "mosquito, bear", "output": "bear", "small": "mosquito", "large": "bear" }, "134": { "input": "mosquito, pony", "output": "pony", "small": "mosquito", "large": "pony" }, "135": { "input": "mosquito, tiger", "output": "tiger", "small": "mosquito", "large": "tiger" }, "136": { "input": "sea lion, mosquito", "output": "sea lion", "small": "mosquito", "large": "sea lion" }, "137": { "input": "mosquito, jaguar", "output": "jaguar", "small": "mosquito", "large": "jaguar" }, "138": { "input": "lion, mosquito", "output": "lion", "small": "mosquito", "large": "lion" }, "139": { "input": "mosquito, wildebeest", "output": "wildebeest", "small": "mosquito", "large": "wildebeest" }, "140": { "input": "mosquito, tuna", "output": "tuna", "small": "mosquito", "large": "tuna" }, "141": { "input": "mosquito, gorilla", "output": "gorilla", "small": "mosquito", "large": "gorilla" }, "142": { "input": "mule, mosquito", "output": "mule", "small": "mosquito", "large": "mule" }, "143": { "input": "mosquito, manatee", "output": "manatee", "small": "mosquito", "large": "manatee" }, "144": { "input": "mosquito, sturgeon", "output": "sturgeon", "small": "mosquito", "large": "sturgeon" }, "145": { "input": "camel, mosquito", "output": "camel", "small": "mosquito", "large": "camel" }, "146": { "input": "elk, mosquito", "output": "elk", "small": "mosquito", "large": "elk" }, "147": { "input": "mosquito, horse", "output": "horse", "small": "mosquito", "large": "horse" }, "148": { "input": "cattle, mosquito", "output": "cattle", "small": "mosquito", "large": "cattle" }, "149": { "input": "shark, mosquito", "output": "shark", "small": "mosquito", "large": "shark" }, "150": { "input": "mosquito, elephant", "output": "elephant", "small": "mosquito", "large": "elephant" }, "151": { "input": "mosquito, giraffe", "output": "giraffe", "small": "mosquito", "large": "giraffe" }, "152": { "input": "mosquito, moose", "output": "moose", "small": "mosquito", "large": "moose" }, "153": { "input": "mosquito, crocodile", "output": "crocodile", "small": "mosquito", "large": "crocodile" }, "154": { "input": "mosquito, liger", "output": "liger", "small": "mosquito", "large": "liger" }, "155": { "input": "mosquito, grizzly bear", "output": "grizzly bear", "small": "mosquito", "large": "grizzly bear" }, "156": { "input": "hippopotamus, mosquito", "output": "hippopotamus", "small": "mosquito", "large": "hippopotamus" }, "157": { "input": "mosquito, whale shark", "output": "whale shark", "small": "mosquito", "large": "whale shark" }, "158": { "input": "mosquito, killer whale", "output": "killer whale", "small": "mosquito", "large": "killer whale" }, "159": { "input": "mosquito, great white shark", "output": "great white shark", "small": "mosquito", "large": "great white shark" }, "160": { "input": "mosquito, sperm whale", "output": "sperm whale", "small": "mosquito", "large": "sperm whale" }, "161": { "input": "mosquito, polar bear", "output": "polar bear", "small": "mosquito", "large": "polar bear" }, "162": { "input": "mosquito, elephant", "output": "elephant", "small": "mosquito", "large": "elephant" }, "163": { "input": "rabbit, bee", "output": "rabbit", "small": "bee", "large": "rabbit" }, "164": { "input": "bee, lobster", "output": "lobster", "small": "bee", "large": "lobster" }, "165": { "input": "bee, parrot", "output": "parrot", "small": "bee", "large": "parrot" }, "166": { "input": "cat, bee", "output": "cat", "small": "bee", "large": "cat" }, "167": { "input": "largemouth bass, bee", "output": "largemouth bass", "small": "bee", "large": "largemouth bass" }, "168": { "input": "bee, pelican", "output": "pelican", "small": "bee", "large": "pelican" }, "169": { "input": "koala, bee", "output": "koala", "small": "bee", "large": "koala" }, "170": { "input": "poodle, bee", "output": "poodle", "small": "bee", "large": "poodle" }, "171": { "input": "bald eagle, bee", "output": "bald eagle", "small": "bee", "large": "bald eagle" }, "172": { "input": "dachshund, bee", "output": "dachshund", "small": "bee", "large": "dachshund" }, "173": { "input": "bee, beagle", "output": "beagle", "small": "bee", "large": "beagle" }, "174": { "input": "bee, koi", "output": "koi", "small": "bee", "large": "koi" }, "175": { "input": "bee, cockapoo", "output": "cockapoo", "small": "bee", "large": "cockapoo" }, "176": { "input": "puppy, bee", "output": "puppy", "small": "bee", "large": "puppy" }, "177": { "input": "bee, raccoon", "output": "raccoon", "small": "bee", "large": "raccoon" }, "178": { "input": "common carp, bee", "output": "common carp", "small": "bee", "large": "common carp" }, "179": { "input": "bee, pug", "output": "pug", "small": "bee", "large": "pug" }, "180": { "input": "rat terrier, bee", "output": "rat terrier", "small": "bee", "large": "rat terrier" }, "181": { "input": "bee, racoon", "output": "racoon", "small": "bee", "large": "racoon" }, "182": { "input": "bee, sheltie", "output": "sheltie", "small": "bee", "large": "sheltie" }, "183": { "input": "labradoodle, bee", "output": "labradoodle", "small": "bee", "large": "labradoodle" }, "184": { "input": "goldendoodle, bee", "output": "goldendoodle", "small": "bee", "large": "goldendoodle" }, "185": { "input": "collie, bee", "output": "collie", "small": "bee", "large": "collie" }, "186": { "input": "coyote, bee", "output": "coyote", "small": "bee", "large": "coyote" }, "187": { "input": "dog, bee", "output": "dog", "small": "bee", "large": "dog" }, "188": { "input": "bee, chamois", "output": "chamois", "small": "bee", "large": "chamois" }, "189": { "input": "bee, chinook", "output": "chinook", "small": "bee", "large": "chinook" }, "190": { "input": "bee, human", "output": "human", "small": "bee", "large": "human" }, "191": { "input": "octopus, bee", "output": "octopus", "small": "bee", "large": "octopus" }, "192": { "input": "bee, alpaca", "output": "alpaca", "small": "bee", "large": "alpaca" }, "193": { "input": "bee, donkey", "output": "donkey", "small": "bee", "large": "donkey" }, "194": { "input": "pit bull, bee", "output": "pit bull", "small": "bee", "large": "pit bull" }, "195": { "input": "bee, bulldog", "output": "bulldog", "small": "bee", "large": "bulldog" }, "196": { "input": "goat, bee", "output": "goat", "small": "bee", "large": "goat" }, "197": { "input": "bee, greyhound", "output": "greyhound", "small": "bee", "large": "greyhound" }, "198": { "input": "bee, wombat", "output": "wombat", "small": "bee", "large": "wombat" }, "199": { "input": "bee, golden retriever", "output": "golden retriever", "small": "bee", "large": "golden retriever" }, "200": { "input": "leopard, bee", "output": "leopard", "small": "bee", "large": "leopard" }, "201": { "input": "bee, capybara", "output": "capybara", "small": "bee", "large": "capybara" }, "202": { "input": "boxer, bee", "output": "boxer", "small": "bee", "large": "boxer" }, "203": { "input": "bee, chimpanzee", "output": "chimpanzee", "small": "bee", "large": "chimpanzee" }, "204": { "input": "bee, cougar", "output": "cougar", "small": "bee", "large": "cougar" }, "205": { "input": "bee, tortoise", "output": "tortoise", "small": "bee", "large": "tortoise" }, "206": { "input": "deer, bee", "output": "deer", "small": "bee", "large": "deer" }, "207": { "input": "bee, wolf", "output": "wolf", "small": "bee", "large": "wolf" }, "208": { "input": "cheetah, bee", "output": "cheetah", "small": "bee", "large": "cheetah" }, "209": { "input": "turtle, bee", "output": "turtle", "small": "bee", "large": "turtle" }, "210": { "input": "bee, orangutan", "output": "orangutan", "small": "bee", "large": "orangutan" }, "211": { "input": "bee, wild boar", "output": "wild boar", "small": "bee", "large": "wild boar" }, "212": { "input": "bee, bull shark", "output": "bull shark", "small": "bee", "large": "bull shark" }, "213": { "input": "llama, bee", "output": "llama", "small": "bee", "large": "llama" }, "214": { "input": "bear, bee", "output": "bear", "small": "bee", "large": "bear" }, "215": { "input": "pony, bee", "output": "pony", "small": "bee", "large": "pony" }, "216": { "input": "tiger, bee", "output": "tiger", "small": "bee", "large": "tiger" }, "217": { "input": "sea lion, bee", "output": "sea lion", "small": "bee", "large": "sea lion" }, "218": { "input": "jaguar, bee", "output": "jaguar", "small": "bee", "large": "jaguar" }, "219": { "input": "bee, lion", "output": "lion", "small": "bee", "large": "lion" }, "220": { "input": "wildebeest, bee", "output": "wildebeest", "small": "bee", "large": "wildebeest" }, "221": { "input": "bee, tuna", "output": "tuna", "small": "bee", "large": "tuna" }, "222": { "input": "bee, gorilla", "output": "gorilla", "small": "bee", "large": "gorilla" }, "223": { "input": "bee, mule", "output": "mule", "small": "bee", "large": "mule" }, "224": { "input": "bee, manatee", "output": "manatee", "small": "bee", "large": "manatee" }, "225": { "input": "sturgeon, bee", "output": "sturgeon", "small": "bee", "large": "sturgeon" }, "226": { "input": "bee, camel", "output": "camel", "small": "bee", "large": "camel" }, "227": { "input": "elk, bee", "output": "elk", "small": "bee", "large": "elk" }, "228": { "input": "bee, horse", "output": "horse", "small": "bee", "large": "horse" }, "229": { "input": "cattle, bee", "output": "cattle", "small": "bee", "large": "cattle" }, "230": { "input": "shark, bee", "output": "shark", "small": "bee", "large": "shark" }, "231": { "input": "elephant, bee", "output": "elephant", "small": "bee", "large": "elephant" }, "232": { "input": "bee, giraffe", "output": "giraffe", "small": "bee", "large": "giraffe" }, "233": { "input": "moose, bee", "output": "moose", "small": "bee", "large": "moose" }, "234": { "input": "bee, crocodile", "output": "crocodile", "small": "bee", "large": "crocodile" }, "235": { "input": "bee, liger", "output": "liger", "small": "bee", "large": "liger" }, "236": { "input": "bee, grizzly bear", "output": "grizzly bear", "small": "bee", "large": "grizzly bear" }, "237": { "input": "bee, hippopotamus", "output": "hippopotamus", "small": "bee", "large": "hippopotamus" }, "238": { "input": "whale shark, bee", "output": "whale shark", "small": "bee", "large": "whale shark" }, "239": { "input": "killer whale, bee", "output": "killer whale", "small": "bee", "large": "killer whale" }, "240": { "input": "bee, great white shark", "output": "great white shark", "small": "bee", "large": "great white shark" }, "241": { "input": "sperm whale, bee", "output": "sperm whale", "small": "bee", "large": "sperm whale" }, "242": { "input": "polar bear, bee", "output": "polar bear", "small": "bee", "large": "polar bear" }, "243": { "input": "bee, elephant", "output": "elephant", "small": "bee", "large": "elephant" }, "244": { "input": "rabbit, goldfish", "output": "rabbit", "small": "goldfish", "large": "rabbit" }, "245": { "input": "goldfish, lobster", "output": "lobster", "small": "goldfish", "large": "lobster" }, "246": { "input": "goldfish, parrot", "output": "parrot", "small": "goldfish", "large": "parrot" }, "247": { "input": "cat, goldfish", "output": "cat", "small": "goldfish", "large": "cat" }, "248": { "input": "largemouth bass, goldfish", "output": "largemouth bass", "small": "goldfish", "large": "largemouth bass" }, "249": { "input": "goldfish, pelican", "output": "pelican", "small": "goldfish", "large": "pelican" }, "250": { "input": "koala, goldfish", "output": "koala", "small": "goldfish", "large": "koala" }, "251": { "input": "goldfish, poodle", "output": "poodle", "small": "goldfish", "large": "poodle" }, "252": { "input": "goldfish, bald eagle", "output": "bald eagle", "small": "goldfish", "large": "bald eagle" }, "253": { "input": "dachshund, goldfish", "output": "dachshund", "small": "goldfish", "large": "dachshund" }, "254": { "input": "goldfish, beagle", "output": "beagle", "small": "goldfish", "large": "beagle" }, "255": { "input": "koi, goldfish", "output": "koi", "small": "goldfish", "large": "koi" }, "256": { "input": "cockapoo, goldfish", "output": "cockapoo", "small": "goldfish", "large": "cockapoo" }, "257": { "input": "goldfish, puppy", "output": "puppy", "small": "goldfish", "large": "puppy" }, "258": { "input": "raccoon, goldfish", "output": "raccoon", "small": "goldfish", "large": "raccoon" }, "259": { "input": "common carp, goldfish", "output": "common carp", "small": "goldfish", "large": "common carp" }, "260": { "input": "pug, goldfish", "output": "pug", "small": "goldfish", "large": "pug" }, "261": { "input": "goldfish, rat terrier", "output": "rat terrier", "small": "goldfish", "large": "rat terrier" }, "262": { "input": "goldfish, racoon", "output": "racoon", "small": "goldfish", "large": "racoon" }, "263": { "input": "sheltie, goldfish", "output": "sheltie", "small": "goldfish", "large": "sheltie" }, "264": { "input": "goldfish, labradoodle", "output": "labradoodle", "small": "goldfish", "large": "labradoodle" }, "265": { "input": "goldendoodle, goldfish", "output": "goldendoodle", "small": "goldfish", "large": "goldendoodle" }, "266": { "input": "collie, goldfish", "output": "collie", "small": "goldfish", "large": "collie" }, "267": { "input": "coyote, goldfish", "output": "coyote", "small": "goldfish", "large": "coyote" }, "268": { "input": "dog, goldfish", "output": "dog", "small": "goldfish", "large": "dog" }, "269": { "input": "goldfish, chamois", "output": "chamois", "small": "goldfish", "large": "chamois" }, "270": { "input": "goldfish, chinook", "output": "chinook", "small": "goldfish", "large": "chinook" }, "271": { "input": "human, goldfish", "output": "human", "small": "goldfish", "large": "human" }, "272": { "input": "octopus, goldfish", "output": "octopus", "small": "goldfish", "large": "octopus" }, "273": { "input": "alpaca, goldfish", "output": "alpaca", "small": "goldfish", "large": "alpaca" }, "274": { "input": "goldfish, donkey", "output": "donkey", "small": "goldfish", "large": "donkey" }, "275": { "input": "pit bull, goldfish", "output": "pit bull", "small": "goldfish", "large": "pit bull" }, "276": { "input": "bulldog, goldfish", "output": "bulldog", "small": "goldfish", "large": "bulldog" }, "277": { "input": "goldfish, goat", "output": "goat", "small": "goldfish", "large": "goat" }, "278": { "input": "goldfish, greyhound", "output": "greyhound", "small": "goldfish", "large": "greyhound" }, "279": { "input": "goldfish, wombat", "output": "wombat", "small": "goldfish", "large": "wombat" }, "280": { "input": "goldfish, golden retriever", "output": "golden retriever", "small": "goldfish", "large": "golden retriever" }, "281": { "input": "leopard, goldfish", "output": "leopard", "small": "goldfish", "large": "leopard" }, "282": { "input": "goldfish, capybara", "output": "capybara", "small": "goldfish", "large": "capybara" }, "283": { "input": "goldfish, boxer", "output": "boxer", "small": "goldfish", "large": "boxer" }, "284": { "input": "chimpanzee, goldfish", "output": "chimpanzee", "small": "goldfish", "large": "chimpanzee" }, "285": { "input": "cougar, goldfish", "output": "cougar", "small": "goldfish", "large": "cougar" }, "286": { "input": "goldfish, tortoise", "output": "tortoise", "small": "goldfish", "large": "tortoise" }, "287": { "input": "deer, goldfish", "output": "deer", "small": "goldfish", "large": "deer" }, "288": { "input": "goldfish, wolf", "output": "wolf", "small": "goldfish", "large": "wolf" }, "289": { "input": "cheetah, goldfish", "output": "cheetah", "small": "goldfish", "large": "cheetah" }, "290": { "input": "goldfish, turtle", "output": "turtle", "small": "goldfish", "large": "turtle" }, "291": { "input": "goldfish, orangutan", "output": "orangutan", "small": "goldfish", "large": "orangutan" }, "292": { "input": "wild boar, goldfish", "output": "wild boar", "small": "goldfish", "large": "wild boar" }, "293": { "input": "bull shark, goldfish", "output": "bull shark", "small": "goldfish", "large": "bull shark" }, "294": { "input": "goldfish, llama", "output": "llama", "small": "goldfish", "large": "llama" }, "295": { "input": "goldfish, bear", "output": "bear", "small": "goldfish", "large": "bear" }, "296": { "input": "pony, goldfish", "output": "pony", "small": "goldfish", "large": "pony" }, "297": { "input": "goldfish, tiger", "output": "tiger", "small": "goldfish", "large": "tiger" }, "298": { "input": "sea lion, goldfish", "output": "sea lion", "small": "goldfish", "large": "sea lion" }, "299": { "input": "jaguar, goldfish", "output": "jaguar", "small": "goldfish", "large": "jaguar" }, "300": { "input": "goldfish, lion", "output": "lion", "small": "goldfish", "large": "lion" }, "301": { "input": "wildebeest, goldfish", "output": "wildebeest", "small": "goldfish", "large": "wildebeest" }, "302": { "input": "tuna, goldfish", "output": "tuna", "small": "goldfish", "large": "tuna" }, "303": { "input": "gorilla, goldfish", "output": "gorilla", "small": "goldfish", "large": "gorilla" }, "304": { "input": "mule, goldfish", "output": "mule", "small": "goldfish", "large": "mule" }, "305": { "input": "goldfish, manatee", "output": "manatee", "small": "goldfish", "large": "manatee" }, "306": { "input": "goldfish, sturgeon", "output": "sturgeon", "small": "goldfish", "large": "sturgeon" }, "307": { "input": "camel, goldfish", "output": "camel", "small": "goldfish", "large": "camel" }, "308": { "input": "goldfish, elk", "output": "elk", "small": "goldfish", "large": "elk" }, "309": { "input": "horse, goldfish", "output": "horse", "small": "goldfish", "large": "horse" }, "310": { "input": "goldfish, cattle", "output": "cattle", "small": "goldfish", "large": "cattle" }, "311": { "input": "goldfish, shark", "output": "shark", "small": "goldfish", "large": "shark" }, "312": { "input": "elephant, goldfish", "output": "elephant", "small": "goldfish", "large": "elephant" }, "313": { "input": "goldfish, giraffe", "output": "giraffe", "small": "goldfish", "large": "giraffe" }, "314": { "input": "moose, goldfish", "output": "moose", "small": "goldfish", "large": "moose" }, "315": { "input": "crocodile, goldfish", "output": "crocodile", "small": "goldfish", "large": "crocodile" }, "316": { "input": "goldfish, liger", "output": "liger", "small": "goldfish", "large": "liger" }, "317": { "input": "grizzly bear, goldfish", "output": "grizzly bear", "small": "goldfish", "large": "grizzly bear" }, "318": { "input": "goldfish, hippopotamus", "output": "hippopotamus", "small": "goldfish", "large": "hippopotamus" }, "319": { "input": "whale shark, goldfish", "output": "whale shark", "small": "goldfish", "large": "whale shark" }, "320": { "input": "killer whale, goldfish", "output": "killer whale", "small": "goldfish", "large": "killer whale" }, "321": { "input": "goldfish, great white shark", "output": "great white shark", "small": "goldfish", "large": "great white shark" }, "322": { "input": "sperm whale, goldfish", "output": "sperm whale", "small": "goldfish", "large": "sperm whale" }, "323": { "input": "goldfish, polar bear", "output": "polar bear", "small": "goldfish", "large": "polar bear" }, "324": { "input": "goldfish, elephant", "output": "elephant", "small": "goldfish", "large": "elephant" }, "325": { "input": "flea, rabbit", "output": "rabbit", "small": "flea", "large": "rabbit" }, "326": { "input": "lobster, flea", "output": "lobster", "small": "flea", "large": "lobster" }, "327": { "input": "parrot, flea", "output": "parrot", "small": "flea", "large": "parrot" }, "328": { "input": "cat, flea", "output": "cat", "small": "flea", "large": "cat" }, "329": { "input": "flea, largemouth bass", "output": "largemouth bass", "small": "flea", "large": "largemouth bass" }, "330": { "input": "flea, pelican", "output": "pelican", "small": "flea", "large": "pelican" }, "331": { "input": "koala, flea", "output": "koala", "small": "flea", "large": "koala" }, "332": { "input": "flea, poodle", "output": "poodle", "small": "flea", "large": "poodle" }, "333": { "input": "bald eagle, flea", "output": "bald eagle", "small": "flea", "large": "bald eagle" }, "334": { "input": "flea, dachshund", "output": "dachshund", "small": "flea", "large": "dachshund" }, "335": { "input": "flea, beagle", "output": "beagle", "small": "flea", "large": "beagle" }, "336": { "input": "flea, koi", "output": "koi", "small": "flea", "large": "koi" }, "337": { "input": "cockapoo, flea", "output": "cockapoo", "small": "flea", "large": "cockapoo" }, "338": { "input": "flea, puppy", "output": "puppy", "small": "flea", "large": "puppy" }, "339": { "input": "flea, raccoon", "output": "raccoon", "small": "flea", "large": "raccoon" }, "340": { "input": "flea, common carp", "output": "common carp", "small": "flea", "large": "common carp" }, "341": { "input": "pug, flea", "output": "pug", "small": "flea", "large": "pug" }, "342": { "input": "flea, rat terrier", "output": "rat terrier", "small": "flea", "large": "rat terrier" }, "343": { "input": "racoon, flea", "output": "racoon", "small": "flea", "large": "racoon" }, "344": { "input": "flea, sheltie", "output": "sheltie", "small": "flea", "large": "sheltie" }, "345": { "input": "labradoodle, flea", "output": "labradoodle", "small": "flea", "large": "labradoodle" }, "346": { "input": "flea, goldendoodle", "output": "goldendoodle", "small": "flea", "large": "goldendoodle" }, "347": { "input": "collie, flea", "output": "collie", "small": "flea", "large": "collie" }, "348": { "input": "coyote, flea", "output": "coyote", "small": "flea", "large": "coyote" }, "349": { "input": "flea, dog", "output": "dog", "small": "flea", "large": "dog" }, "350": { "input": "flea, chamois", "output": "chamois", "small": "flea", "large": "chamois" }, "351": { "input": "chinook, flea", "output": "chinook", "small": "flea", "large": "chinook" }, "352": { "input": "human, flea", "output": "human", "small": "flea", "large": "human" }, "353": { "input": "flea, octopus", "output": "octopus", "small": "flea", "large": "octopus" }, "354": { "input": "alpaca, flea", "output": "alpaca", "small": "flea", "large": "alpaca" }, "355": { "input": "donkey, flea", "output": "donkey", "small": "flea", "large": "donkey" }, "356": { "input": "flea, pit bull", "output": "pit bull", "small": "flea", "large": "pit bull" }, "357": { "input": "bulldog, flea", "output": "bulldog", "small": "flea", "large": "bulldog" }, "358": { "input": "flea, goat", "output": "goat", "small": "flea", "large": "goat" }, "359": { "input": "flea, greyhound", "output": "greyhound", "small": "flea", "large": "greyhound" }, "360": { "input": "flea, wombat", "output": "wombat", "small": "flea", "large": "wombat" }, "361": { "input": "golden retriever, flea", "output": "golden retriever", "small": "flea", "large": "golden retriever" }, "362": { "input": "flea, leopard", "output": "leopard", "small": "flea", "large": "leopard" }, "363": { "input": "capybara, flea", "output": "capybara", "small": "flea", "large": "capybara" }, "364": { "input": "boxer, flea", "output": "boxer", "small": "flea", "large": "boxer" }, "365": { "input": "chimpanzee, flea", "output": "chimpanzee", "small": "flea", "large": "chimpanzee" }, "366": { "input": "cougar, flea", "output": "cougar", "small": "flea", "large": "cougar" }, "367": { "input": "flea, tortoise", "output": "tortoise", "small": "flea", "large": "tortoise" }, "368": { "input": "deer, flea", "output": "deer", "small": "flea", "large": "deer" }, "369": { "input": "wolf, flea", "output": "wolf", "small": "flea", "large": "wolf" }, "370": { "input": "cheetah, flea", "output": "cheetah", "small": "flea", "large": "cheetah" }, "371": { "input": "turtle, flea", "output": "turtle", "small": "flea", "large": "turtle" }, "372": { "input": "flea, orangutan", "output": "orangutan", "small": "flea", "large": "orangutan" }, "373": { "input": "flea, wild boar", "output": "wild boar", "small": "flea", "large": "wild boar" }, "374": { "input": "flea, bull shark", "output": "bull shark", "small": "flea", "large": "bull shark" }, "375": { "input": "llama, flea", "output": "llama", "small": "flea", "large": "llama" }, "376": { "input": "flea, bear", "output": "bear", "small": "flea", "large": "bear" }, "377": { "input": "flea, pony", "output": "pony", "small": "flea", "large": "pony" }, "378": { "input": "tiger, flea", "output": "tiger", "small": "flea", "large": "tiger" }, "379": { "input": "sea lion, flea", "output": "sea lion", "small": "flea", "large": "sea lion" }, "380": { "input": "flea, jaguar", "output": "jaguar", "small": "flea", "large": "jaguar" }, "381": { "input": "flea, lion", "output": "lion", "small": "flea", "large": "lion" }, "382": { "input": "flea, wildebeest", "output": "wildebeest", "small": "flea", "large": "wildebeest" }, "383": { "input": "flea, tuna", "output": "tuna", "small": "flea", "large": "tuna" }, "384": { "input": "flea, gorilla", "output": "gorilla", "small": "flea", "large": "gorilla" }, "385": { "input": "mule, flea", "output": "mule", "small": "flea", "large": "mule" }, "386": { "input": "manatee, flea", "output": "manatee", "small": "flea", "large": "manatee" }, "387": { "input": "flea, sturgeon", "output": "sturgeon", "small": "flea", "large": "sturgeon" }, "388": { "input": "camel, flea", "output": "camel", "small": "flea", "large": "camel" }, "389": { "input": "elk, flea", "output": "elk", "small": "flea", "large": "elk" }, "390": { "input": "horse, flea", "output": "horse", "small": "flea", "large": "horse" }, "391": { "input": "cattle, flea", "output": "cattle", "small": "flea", "large": "cattle" }, "392": { "input": "shark, flea", "output": "shark", "small": "flea", "large": "shark" }, "393": { "input": "flea, elephant", "output": "elephant", "small": "flea", "large": "elephant" }, "394": { "input": "flea, giraffe", "output": "giraffe", "small": "flea", "large": "giraffe" }, "395": { "input": "moose, flea", "output": "moose", "small": "flea", "large": "moose" }, "396": { "input": "flea, crocodile", "output": "crocodile", "small": "flea", "large": "crocodile" }, "397": { "input": "flea, liger", "output": "liger", "small": "flea", "large": "liger" }, "398": { "input": "grizzly bear, flea", "output": "grizzly bear", "small": "flea", "large": "grizzly bear" }, "399": { "input": "flea, hippopotamus", "output": "hippopotamus", "small": "flea", "large": "hippopotamus" }, "400": { "input": "flea, whale shark", "output": "whale shark", "small": "flea", "large": "whale shark" }, "401": { "input": "killer whale, flea", "output": "killer whale", "small": "flea", "large": "killer whale" }, "402": { "input": "flea, great white shark", "output": "great white shark", "small": "flea", "large": "great white shark" }, "403": { "input": "sperm whale, flea", "output": "sperm whale", "small": "flea", "large": "sperm whale" }, "404": { "input": "flea, polar bear", "output": "polar bear", "small": "flea", "large": "polar bear" }, "405": { "input": "flea, elephant", "output": "elephant", "small": "flea", "large": "elephant" }, "406": { "input": "butterfly, rabbit", "output": "rabbit", "small": "butterfly", "large": "rabbit" }, "407": { "input": "butterfly, lobster", "output": "lobster", "small": "butterfly", "large": "lobster" }, "408": { "input": "butterfly, parrot", "output": "parrot", "small": "butterfly", "large": "parrot" }, "409": { "input": "butterfly, cat", "output": "cat", "small": "butterfly", "large": "cat" }, "410": { "input": "butterfly, largemouth bass", "output": "largemouth bass", "small": "butterfly", "large": "largemouth bass" }, "411": { "input": "pelican, butterfly", "output": "pelican", "small": "butterfly", "large": "pelican" }, "412": { "input": "butterfly, koala", "output": "koala", "small": "butterfly", "large": "koala" }, "413": { "input": "poodle, butterfly", "output": "poodle", "small": "butterfly", "large": "poodle" }, "414": { "input": "butterfly, bald eagle", "output": "bald eagle", "small": "butterfly", "large": "bald eagle" }, "415": { "input": "butterfly, dachshund", "output": "dachshund", "small": "butterfly", "large": "dachshund" }, "416": { "input": "butterfly, beagle", "output": "beagle", "small": "butterfly", "large": "beagle" }, "417": { "input": "koi, butterfly", "output": "koi", "small": "butterfly", "large": "koi" }, "418": { "input": "butterfly, cockapoo", "output": "cockapoo", "small": "butterfly", "large": "cockapoo" }, "419": { "input": "butterfly, puppy", "output": "puppy", "small": "butterfly", "large": "puppy" }, "420": { "input": "butterfly, raccoon", "output": "raccoon", "small": "butterfly", "large": "raccoon" }, "421": { "input": "butterfly, common carp", "output": "common carp", "small": "butterfly", "large": "common carp" }, "422": { "input": "pug, butterfly", "output": "pug", "small": "butterfly", "large": "pug" }, "423": { "input": "rat terrier, butterfly", "output": "rat terrier", "small": "butterfly", "large": "rat terrier" }, "424": { "input": "butterfly, racoon", "output": "racoon", "small": "butterfly", "large": "racoon" }, "425": { "input": "sheltie, butterfly", "output": "sheltie", "small": "butterfly", "large": "sheltie" }, "426": { "input": "butterfly, labradoodle", "output": "labradoodle", "small": "butterfly", "large": "labradoodle" }, "427": { "input": "butterfly, goldendoodle", "output": "goldendoodle", "small": "butterfly", "large": "goldendoodle" }, "428": { "input": "butterfly, collie", "output": "collie", "small": "butterfly", "large": "collie" }, "429": { "input": "butterfly, coyote", "output": "coyote", "small": "butterfly", "large": "coyote" }, "430": { "input": "butterfly, dog", "output": "dog", "small": "butterfly", "large": "dog" }, "431": { "input": "butterfly, chamois", "output": "chamois", "small": "butterfly", "large": "chamois" }, "432": { "input": "chinook, butterfly", "output": "chinook", "small": "butterfly", "large": "chinook" }, "433": { "input": "butterfly, human", "output": "human", "small": "butterfly", "large": "human" }, "434": { "input": "octopus, butterfly", "output": "octopus", "small": "butterfly", "large": "octopus" }, "435": { "input": "butterfly, alpaca", "output": "alpaca", "small": "butterfly", "large": "alpaca" }, "436": { "input": "donkey, butterfly", "output": "donkey", "small": "butterfly", "large": "donkey" }, "437": { "input": "butterfly, pit bull", "output": "pit bull", "small": "butterfly", "large": "pit bull" }, "438": { "input": "butterfly, bulldog", "output": "bulldog", "small": "butterfly", "large": "bulldog" }, "439": { "input": "butterfly, goat", "output": "goat", "small": "butterfly", "large": "goat" }, "440": { "input": "butterfly, greyhound", "output": "greyhound", "small": "butterfly", "large": "greyhound" }, "441": { "input": "butterfly, wombat", "output": "wombat", "small": "butterfly", "large": "wombat" }, "442": { "input": "butterfly, golden retriever", "output": "golden retriever", "small": "butterfly", "large": "golden retriever" }, "443": { "input": "butterfly, leopard", "output": "leopard", "small": "butterfly", "large": "leopard" }, "444": { "input": "butterfly, capybara", "output": "capybara", "small": "butterfly", "large": "capybara" }, "445": { "input": "butterfly, boxer", "output": "boxer", "small": "butterfly", "large": "boxer" }, "446": { "input": "chimpanzee, butterfly", "output": "chimpanzee", "small": "butterfly", "large": "chimpanzee" }, "447": { "input": "cougar, butterfly", "output": "cougar", "small": "butterfly", "large": "cougar" }, "448": { "input": "tortoise, butterfly", "output": "tortoise", "small": "butterfly", "large": "tortoise" }, "449": { "input": "butterfly, deer", "output": "deer", "small": "butterfly", "large": "deer" }, "450": { "input": "butterfly, wolf", "output": "wolf", "small": "butterfly", "large": "wolf" }, "451": { "input": "cheetah, butterfly", "output": "cheetah", "small": "butterfly", "large": "cheetah" }, "452": { "input": "turtle, butterfly", "output": "turtle", "small": "butterfly", "large": "turtle" }, "453": { "input": "butterfly, orangutan", "output": "orangutan", "small": "butterfly", "large": "orangutan" }, "454": { "input": "butterfly, wild boar", "output": "wild boar", "small": "butterfly", "large": "wild boar" }, "455": { "input": "butterfly, bull shark", "output": "bull shark", "small": "butterfly", "large": "bull shark" }, "456": { "input": "butterfly, llama", "output": "llama", "small": "butterfly", "large": "llama" }, "457": { "input": "butterfly, bear", "output": "bear", "small": "butterfly", "large": "bear" }, "458": { "input": "pony, butterfly", "output": "pony", "small": "butterfly", "large": "pony" }, "459": { "input": "butterfly, tiger", "output": "tiger", "small": "butterfly", "large": "tiger" }, "460": { "input": "butterfly, sea lion", "output": "sea lion", "small": "butterfly", "large": "sea lion" }, "461": { "input": "jaguar, butterfly", "output": "jaguar", "small": "butterfly", "large": "jaguar" }, "462": { "input": "lion, butterfly", "output": "lion", "small": "butterfly", "large": "lion" }, "463": { "input": "butterfly, wildebeest", "output": "wildebeest", "small": "butterfly", "large": "wildebeest" }, "464": { "input": "tuna, butterfly", "output": "tuna", "small": "butterfly", "large": "tuna" }, "465": { "input": "butterfly, gorilla", "output": "gorilla", "small": "butterfly", "large": "gorilla" }, "466": { "input": "butterfly, mule", "output": "mule", "small": "butterfly", "large": "mule" }, "467": { "input": "butterfly, manatee", "output": "manatee", "small": "butterfly", "large": "manatee" }, "468": { "input": "sturgeon, butterfly", "output": "sturgeon", "small": "butterfly", "large": "sturgeon" }, "469": { "input": "butterfly, camel", "output": "camel", "small": "butterfly", "large": "camel" }, "470": { "input": "butterfly, elk", "output": "elk", "small": "butterfly", "large": "elk" }, "471": { "input": "horse, butterfly", "output": "horse", "small": "butterfly", "large": "horse" }, "472": { "input": "butterfly, cattle", "output": "cattle", "small": "butterfly", "large": "cattle" }, "473": { "input": "shark, butterfly", "output": "shark", "small": "butterfly", "large": "shark" }, "474": { "input": "butterfly, elephant", "output": "elephant", "small": "butterfly", "large": "elephant" }, "475": { "input": "giraffe, butterfly", "output": "giraffe", "small": "butterfly", "large": "giraffe" }, "476": { "input": "butterfly, moose", "output": "moose", "small": "butterfly", "large": "moose" }, "477": { "input": "crocodile, butterfly", "output": "crocodile", "small": "butterfly", "large": "crocodile" }, "478": { "input": "liger, butterfly", "output": "liger", "small": "butterfly", "large": "liger" }, "479": { "input": "grizzly bear, butterfly", "output": "grizzly bear", "small": "butterfly", "large": "grizzly bear" }, "480": { "input": "butterfly, hippopotamus", "output": "hippopotamus", "small": "butterfly", "large": "hippopotamus" }, "481": { "input": "butterfly, whale shark", "output": "whale shark", "small": "butterfly", "large": "whale shark" }, "482": { "input": "butterfly, killer whale", "output": "killer whale", "small": "butterfly", "large": "killer whale" }, "483": { "input": "butterfly, great white shark", "output": "great white shark", "small": "butterfly", "large": "great white shark" }, "484": { "input": "sperm whale, butterfly", "output": "sperm whale", "small": "butterfly", "large": "sperm whale" }, "485": { "input": "polar bear, butterfly", "output": "polar bear", "small": "butterfly", "large": "polar bear" }, "486": { "input": "butterfly, elephant", "output": "elephant", "small": "butterfly", "large": "elephant" }, "487": { "input": "rabbit, spider", "output": "rabbit", "small": "spider", "large": "rabbit" }, "488": { "input": "lobster, spider", "output": "lobster", "small": "spider", "large": "lobster" }, "489": { "input": "parrot, spider", "output": "parrot", "small": "spider", "large": "parrot" }, "490": { "input": "cat, spider", "output": "cat", "small": "spider", "large": "cat" }, "491": { "input": "largemouth bass, spider", "output": "largemouth bass", "small": "spider", "large": "largemouth bass" }, "492": { "input": "pelican, spider", "output": "pelican", "small": "spider", "large": "pelican" }, "493": { "input": "koala, spider", "output": "koala", "small": "spider", "large": "koala" }, "494": { "input": "spider, poodle", "output": "poodle", "small": "spider", "large": "poodle" }, "495": { "input": "spider, bald eagle", "output": "bald eagle", "small": "spider", "large": "bald eagle" }, "496": { "input": "dachshund, spider", "output": "dachshund", "small": "spider", "large": "dachshund" }, "497": { "input": "spider, beagle", "output": "beagle", "small": "spider", "large": "beagle" }, "498": { "input": "spider, koi", "output": "koi", "small": "spider", "large": "koi" }, "499": { "input": "spider, cockapoo", "output": "cockapoo", "small": "spider", "large": "cockapoo" }, "500": { "input": "spider, puppy", "output": "puppy", "small": "spider", "large": "puppy" }, "501": { "input": "spider, raccoon", "output": "raccoon", "small": "spider", "large": "raccoon" }, "502": { "input": "spider, common carp", "output": "common carp", "small": "spider", "large": "common carp" }, "503": { "input": "pug, spider", "output": "pug", "small": "spider", "large": "pug" }, "504": { "input": "rat terrier, spider", "output": "rat terrier", "small": "spider", "large": "rat terrier" }, "505": { "input": "racoon, spider", "output": "racoon", "small": "spider", "large": "racoon" }, "506": { "input": "sheltie, spider", "output": "sheltie", "small": "spider", "large": "sheltie" }, "507": { "input": "spider, labradoodle", "output": "labradoodle", "small": "spider", "large": "labradoodle" }, "508": { "input": "spider, goldendoodle", "output": "goldendoodle", "small": "spider", "large": "goldendoodle" }, "509": { "input": "spider, collie", "output": "collie", "small": "spider", "large": "collie" }, "510": { "input": "spider, coyote", "output": "coyote", "small": "spider", "large": "coyote" }, "511": { "input": "spider, dog", "output": "dog", "small": "spider", "large": "dog" }, "512": { "input": "spider, chamois", "output": "chamois", "small": "spider", "large": "chamois" }, "513": { "input": "spider, chinook", "output": "chinook", "small": "spider", "large": "chinook" }, "514": { "input": "human, spider", "output": "human", "small": "spider", "large": "human" }, "515": { "input": "spider, octopus", "output": "octopus", "small": "spider", "large": "octopus" }, "516": { "input": "spider, alpaca", "output": "alpaca", "small": "spider", "large": "alpaca" }, "517": { "input": "spider, donkey", "output": "donkey", "small": "spider", "large": "donkey" }, "518": { "input": "pit bull, spider", "output": "pit bull", "small": "spider", "large": "pit bull" }, "519": { "input": "spider, bulldog", "output": "bulldog", "small": "spider", "large": "bulldog" }, "520": { "input": "spider, goat", "output": "goat", "small": "spider", "large": "goat" }, "521": { "input": "spider, greyhound", "output": "greyhound", "small": "spider", "large": "greyhound" }, "522": { "input": "wombat, spider", "output": "wombat", "small": "spider", "large": "wombat" }, "523": { "input": "spider, golden retriever", "output": "golden retriever", "small": "spider", "large": "golden retriever" }, "524": { "input": "leopard, spider", "output": "leopard", "small": "spider", "large": "leopard" }, "525": { "input": "spider, capybara", "output": "capybara", "small": "spider", "large": "capybara" }, "526": { "input": "spider, boxer", "output": "boxer", "small": "spider", "large": "boxer" }, "527": { "input": "chimpanzee, spider", "output": "chimpanzee", "small": "spider", "large": "chimpanzee" }, "528": { "input": "spider, cougar", "output": "cougar", "small": "spider", "large": "cougar" }, "529": { "input": "tortoise, spider", "output": "tortoise", "small": "spider", "large": "tortoise" }, "530": { "input": "spider, deer", "output": "deer", "small": "spider", "large": "deer" }, "531": { "input": "wolf, spider", "output": "wolf", "small": "spider", "large": "wolf" }, "532": { "input": "cheetah, spider", "output": "cheetah", "small": "spider", "large": "cheetah" }, "533": { "input": "turtle, spider", "output": "turtle", "small": "spider", "large": "turtle" }, "534": { "input": "orangutan, spider", "output": "orangutan", "small": "spider", "large": "orangutan" }, "535": { "input": "spider, wild boar", "output": "wild boar", "small": "spider", "large": "wild boar" }, "536": { "input": "spider, bull shark", "output": "bull shark", "small": "spider", "large": "bull shark" }, "537": { "input": "spider, llama", "output": "llama", "small": "spider", "large": "llama" }, "538": { "input": "bear, spider", "output": "bear", "small": "spider", "large": "bear" }, "539": { "input": "pony, spider", "output": "pony", "small": "spider", "large": "pony" }, "540": { "input": "tiger, spider", "output": "tiger", "small": "spider", "large": "tiger" }, "541": { "input": "sea lion, spider", "output": "sea lion", "small": "spider", "large": "sea lion" }, "542": { "input": "jaguar, spider", "output": "jaguar", "small": "spider", "large": "jaguar" }, "543": { "input": "spider, lion", "output": "lion", "small": "spider", "large": "lion" }, "544": { "input": "spider, wildebeest", "output": "wildebeest", "small": "spider", "large": "wildebeest" }, "545": { "input": "tuna, spider", "output": "tuna", "small": "spider", "large": "tuna" }, "546": { "input": "spider, gorilla", "output": "gorilla", "small": "spider", "large": "gorilla" }, "547": { "input": "mule, spider", "output": "mule", "small": "spider", "large": "mule" }, "548": { "input": "spider, manatee", "output": "manatee", "small": "spider", "large": "manatee" }, "549": { "input": "spider, sturgeon", "output": "sturgeon", "small": "spider", "large": "sturgeon" }, "550": { "input": "spider, camel", "output": "camel", "small": "spider", "large": "camel" }, "551": { "input": "spider, elk", "output": "elk", "small": "spider", "large": "elk" }, "552": { "input": "horse, spider", "output": "horse", "small": "spider", "large": "horse" }, "553": { "input": "spider, cattle", "output": "cattle", "small": "spider", "large": "cattle" }, "554": { "input": "spider, shark", "output": "shark", "small": "spider", "large": "shark" }, "555": { "input": "elephant, spider", "output": "elephant", "small": "spider", "large": "elephant" }, "556": { "input": "giraffe, spider", "output": "giraffe", "small": "spider", "large": "giraffe" }, "557": { "input": "moose, spider", "output": "moose", "small": "spider", "large": "moose" }, "558": { "input": "spider, crocodile", "output": "crocodile", "small": "spider", "large": "crocodile" }, "559": { "input": "liger, spider", "output": "liger", "small": "spider", "large": "liger" }, "560": { "input": "spider, grizzly bear", "output": "grizzly bear", "small": "spider", "large": "grizzly bear" }, "561": { "input": "hippopotamus, spider", "output": "hippopotamus", "small": "spider", "large": "hippopotamus" }, "562": { "input": "spider, whale shark", "output": "whale shark", "small": "spider", "large": "whale shark" }, "563": { "input": "spider, killer whale", "output": "killer whale", "small": "spider", "large": "killer whale" }, "564": { "input": "great white shark, spider", "output": "great white shark", "small": "spider", "large": "great white shark" }, "565": { "input": "sperm whale, spider", "output": "sperm whale", "small": "spider", "large": "sperm whale" }, "566": { "input": "spider, polar bear", "output": "polar bear", "small": "spider", "large": "polar bear" }, "567": { "input": "spider, elephant", "output": "elephant", "small": "spider", "large": "elephant" }, "568": { "input": "bat, rabbit", "output": "rabbit", "small": "bat", "large": "rabbit" }, "569": { "input": "lobster, bat", "output": "lobster", "small": "bat", "large": "lobster" }, "570": { "input": "parrot, bat", "output": "parrot", "small": "bat", "large": "parrot" }, "571": { "input": "cat, bat", "output": "cat", "small": "bat", "large": "cat" }, "572": { "input": "largemouth bass, bat", "output": "largemouth bass", "small": "bat", "large": "largemouth bass" }, "573": { "input": "bat, pelican", "output": "pelican", "small": "bat", "large": "pelican" }, "574": { "input": "koala, bat", "output": "koala", "small": "bat", "large": "koala" }, "575": { "input": "poodle, bat", "output": "poodle", "small": "bat", "large": "poodle" }, "576": { "input": "bat, bald eagle", "output": "bald eagle", "small": "bat", "large": "bald eagle" }, "577": { "input": "bat, dachshund", "output": "dachshund", "small": "bat", "large": "dachshund" }, "578": { "input": "bat, beagle", "output": "beagle", "small": "bat", "large": "beagle" }, "579": { "input": "koi, bat", "output": "koi", "small": "bat", "large": "koi" }, "580": { "input": "cockapoo, bat", "output": "cockapoo", "small": "bat", "large": "cockapoo" }, "581": { "input": "puppy, bat", "output": "puppy", "small": "bat", "large": "puppy" }, "582": { "input": "raccoon, bat", "output": "raccoon", "small": "bat", "large": "raccoon" }, "583": { "input": "common carp, bat", "output": "common carp", "small": "bat", "large": "common carp" }, "584": { "input": "pug, bat", "output": "pug", "small": "bat", "large": "pug" }, "585": { "input": "bat, rat terrier", "output": "rat terrier", "small": "bat", "large": "rat terrier" }, "586": { "input": "racoon, bat", "output": "racoon", "small": "bat", "large": "racoon" }, "587": { "input": "bat, sheltie", "output": "sheltie", "small": "bat", "large": "sheltie" }, "588": { "input": "bat, labradoodle", "output": "labradoodle", "small": "bat", "large": "labradoodle" }, "589": { "input": "goldendoodle, bat", "output": "goldendoodle", "small": "bat", "large": "goldendoodle" }, "590": { "input": "collie, bat", "output": "collie", "small": "bat", "large": "collie" }, "591": { "input": "bat, coyote", "output": "coyote", "small": "bat", "large": "coyote" }, "592": { "input": "bat, dog", "output": "dog", "small": "bat", "large": "dog" }, "593": { "input": "bat, chamois", "output": "chamois", "small": "bat", "large": "chamois" }, "594": { "input": "bat, chinook", "output": "chinook", "small": "bat", "large": "chinook" }, "595": { "input": "bat, human", "output": "human", "small": "bat", "large": "human" }, "596": { "input": "bat, octopus", "output": "octopus", "small": "bat", "large": "octopus" }, "597": { "input": "bat, alpaca", "output": "alpaca", "small": "bat", "large": "alpaca" }, "598": { "input": "donkey, bat", "output": "donkey", "small": "bat", "large": "donkey" }, "599": { "input": "bat, pit bull", "output": "pit bull", "small": "bat", "large": "pit bull" }, "600": { "input": "bat, bulldog", "output": "bulldog", "small": "bat", "large": "bulldog" }, "601": { "input": "bat, goat", "output": "goat", "small": "bat", "large": "goat" }, "602": { "input": "greyhound, bat", "output": "greyhound", "small": "bat", "large": "greyhound" }, "603": { "input": "wombat, bat", "output": "wombat", "small": "bat", "large": "wombat" }, "604": { "input": "golden retriever, bat", "output": "golden retriever", "small": "bat", "large": "golden retriever" }, "605": { "input": "leopard, bat", "output": "leopard", "small": "bat", "large": "leopard" }, "606": { "input": "bat, capybara", "output": "capybara", "small": "bat", "large": "capybara" }, "607": { "input": "bat, boxer", "output": "boxer", "small": "bat", "large": "boxer" }, "608": { "input": "bat, chimpanzee", "output": "chimpanzee", "small": "bat", "large": "chimpanzee" }, "609": { "input": "bat, cougar", "output": "cougar", "small": "bat", "large": "cougar" }, "610": { "input": "bat, tortoise", "output": "tortoise", "small": "bat", "large": "tortoise" }, "611": { "input": "deer, bat", "output": "deer", "small": "bat", "large": "deer" }, "612": { "input": "wolf, bat", "output": "wolf", "small": "bat", "large": "wolf" }, "613": { "input": "bat, cheetah", "output": "cheetah", "small": "bat", "large": "cheetah" }, "614": { "input": "bat, turtle", "output": "turtle", "small": "bat", "large": "turtle" }, "615": { "input": "bat, orangutan", "output": "orangutan", "small": "bat", "large": "orangutan" }, "616": { "input": "wild boar, bat", "output": "wild boar", "small": "bat", "large": "wild boar" }, "617": { "input": "bull shark, bat", "output": "bull shark", "small": "bat", "large": "bull shark" }, "618": { "input": "llama, bat", "output": "llama", "small": "bat", "large": "llama" }, "619": { "input": "bear, bat", "output": "bear", "small": "bat", "large": "bear" }, "620": { "input": "pony, bat", "output": "pony", "small": "bat", "large": "pony" }, "621": { "input": "tiger, bat", "output": "tiger", "small": "bat", "large": "tiger" }, "622": { "input": "sea lion, bat", "output": "sea lion", "small": "bat", "large": "sea lion" }, "623": { "input": "bat, jaguar", "output": "jaguar", "small": "bat", "large": "jaguar" }, "624": { "input": "bat, lion", "output": "lion", "small": "bat", "large": "lion" }, "625": { "input": "bat, wildebeest", "output": "wildebeest", "small": "bat", "large": "wildebeest" }, "626": { "input": "tuna, bat", "output": "tuna", "small": "bat", "large": "tuna" }, "627": { "input": "bat, gorilla", "output": "gorilla", "small": "bat", "large": "gorilla" }, "628": { "input": "mule, bat", "output": "mule", "small": "bat", "large": "mule" }, "629": { "input": "bat, manatee", "output": "manatee", "small": "bat", "large": "manatee" }, "630": { "input": "bat, sturgeon", "output": "sturgeon", "small": "bat", "large": "sturgeon" }, "631": { "input": "camel, bat", "output": "camel", "small": "bat", "large": "camel" }, "632": { "input": "bat, elk", "output": "elk", "small": "bat", "large": "elk" }, "633": { "input": "horse, bat", "output": "horse", "small": "bat", "large": "horse" }, "634": { "input": "cattle, bat", "output": "cattle", "small": "bat", "large": "cattle" }, "635": { "input": "shark, bat", "output": "shark", "small": "bat", "large": "shark" }, "636": { "input": "elephant, bat", "output": "elephant", "small": "bat", "large": "elephant" }, "637": { "input": "bat, giraffe", "output": "giraffe", "small": "bat", "large": "giraffe" }, "638": { "input": "moose, bat", "output": "moose", "small": "bat", "large": "moose" }, "639": { "input": "bat, crocodile", "output": "crocodile", "small": "bat", "large": "crocodile" }, "640": { "input": "bat, liger", "output": "liger", "small": "bat", "large": "liger" }, "641": { "input": "grizzly bear, bat", "output": "grizzly bear", "small": "bat", "large": "grizzly bear" }, "642": { "input": "bat, hippopotamus", "output": "hippopotamus", "small": "bat", "large": "hippopotamus" }, "643": { "input": "bat, whale shark", "output": "whale shark", "small": "bat", "large": "whale shark" }, "644": { "input": "killer whale, bat", "output": "killer whale", "small": "bat", "large": "killer whale" }, "645": { "input": "bat, great white shark", "output": "great white shark", "small": "bat", "large": "great white shark" }, "646": { "input": "bat, sperm whale", "output": "sperm whale", "small": "bat", "large": "sperm whale" }, "647": { "input": "polar bear, bat", "output": "polar bear", "small": "bat", "large": "polar bear" }, "648": { "input": "bat, elephant", "output": "elephant", "small": "bat", "large": "elephant" }, "649": { "input": "rabbit, mouse", "output": "rabbit", "small": "mouse", "large": "rabbit" }, "650": { "input": "mouse, lobster", "output": "lobster", "small": "mouse", "large": "lobster" }, "651": { "input": "parrot, mouse", "output": "parrot", "small": "mouse", "large": "parrot" }, "652": { "input": "mouse, cat", "output": "cat", "small": "mouse", "large": "cat" }, "653": { "input": "mouse, largemouth bass", "output": "largemouth bass", "small": "mouse", "large": "largemouth bass" }, "654": { "input": "pelican, mouse", "output": "pelican", "small": "mouse", "large": "pelican" }, "655": { "input": "mouse, koala", "output": "koala", "small": "mouse", "large": "koala" }, "656": { "input": "mouse, poodle", "output": "poodle", "small": "mouse", "large": "poodle" }, "657": { "input": "bald eagle, mouse", "output": "bald eagle", "small": "mouse", "large": "bald eagle" }, "658": { "input": "mouse, dachshund", "output": "dachshund", "small": "mouse", "large": "dachshund" }, "659": { "input": "mouse, beagle", "output": "beagle", "small": "mouse", "large": "beagle" }, "660": { "input": "koi, mouse", "output": "koi", "small": "mouse", "large": "koi" }, "661": { "input": "mouse, cockapoo", "output": "cockapoo", "small": "mouse", "large": "cockapoo" }, "662": { "input": "puppy, mouse", "output": "puppy", "small": "mouse", "large": "puppy" }, "663": { "input": "raccoon, mouse", "output": "raccoon", "small": "mouse", "large": "raccoon" }, "664": { "input": "common carp, mouse", "output": "common carp", "small": "mouse", "large": "common carp" }, "665": { "input": "pug, mouse", "output": "pug", "small": "mouse", "large": "pug" }, "666": { "input": "mouse, rat terrier", "output": "rat terrier", "small": "mouse", "large": "rat terrier" }, "667": { "input": "racoon, mouse", "output": "racoon", "small": "mouse", "large": "racoon" }, "668": { "input": "sheltie, mouse", "output": "sheltie", "small": "mouse", "large": "sheltie" }, "669": { "input": "labradoodle, mouse", "output": "labradoodle", "small": "mouse", "large": "labradoodle" }, "670": { "input": "goldendoodle, mouse", "output": "goldendoodle", "small": "mouse", "large": "goldendoodle" }, "671": { "input": "collie, mouse", "output": "collie", "small": "mouse", "large": "collie" }, "672": { "input": "coyote, mouse", "output": "coyote", "small": "mouse", "large": "coyote" }, "673": { "input": "dog, mouse", "output": "dog", "small": "mouse", "large": "dog" }, "674": { "input": "mouse, chamois", "output": "chamois", "small": "mouse", "large": "chamois" }, "675": { "input": "mouse, chinook", "output": "chinook", "small": "mouse", "large": "chinook" }, "676": { "input": "mouse, human", "output": "human", "small": "mouse", "large": "human" }, "677": { "input": "mouse, octopus", "output": "octopus", "small": "mouse", "large": "octopus" }, "678": { "input": "mouse, alpaca", "output": "alpaca", "small": "mouse", "large": "alpaca" }, "679": { "input": "mouse, donkey", "output": "donkey", "small": "mouse", "large": "donkey" }, "680": { "input": "pit bull, mouse", "output": "pit bull", "small": "mouse", "large": "pit bull" }, "681": { "input": "bulldog, mouse", "output": "bulldog", "small": "mouse", "large": "bulldog" }, "682": { "input": "goat, mouse", "output": "goat", "small": "mouse", "large": "goat" }, "683": { "input": "greyhound, mouse", "output": "greyhound", "small": "mouse", "large": "greyhound" }, "684": { "input": "wombat, mouse", "output": "wombat", "small": "mouse", "large": "wombat" }, "685": { "input": "golden retriever, mouse", "output": "golden retriever", "small": "mouse", "large": "golden retriever" }, "686": { "input": "mouse, leopard", "output": "leopard", "small": "mouse", "large": "leopard" }, "687": { "input": "mouse, capybara", "output": "capybara", "small": "mouse", "large": "capybara" }, "688": { "input": "mouse, boxer", "output": "boxer", "small": "mouse", "large": "boxer" }, "689": { "input": "mouse, chimpanzee", "output": "chimpanzee", "small": "mouse", "large": "chimpanzee" }, "690": { "input": "cougar, mouse", "output": "cougar", "small": "mouse", "large": "cougar" }, "691": { "input": "mouse, tortoise", "output": "tortoise", "small": "mouse", "large": "tortoise" }, "692": { "input": "mouse, deer", "output": "deer", "small": "mouse", "large": "deer" }, "693": { "input": "mouse, wolf", "output": "wolf", "small": "mouse", "large": "wolf" }, "694": { "input": "cheetah, mouse", "output": "cheetah", "small": "mouse", "large": "cheetah" }, "695": { "input": "turtle, mouse", "output": "turtle", "small": "mouse", "large": "turtle" }, "696": { "input": "mouse, orangutan", "output": "orangutan", "small": "mouse", "large": "orangutan" }, "697": { "input": "mouse, wild boar", "output": "wild boar", "small": "mouse", "large": "wild boar" }, "698": { "input": "bull shark, mouse", "output": "bull shark", "small": "mouse", "large": "bull shark" }, "699": { "input": "mouse, llama", "output": "llama", "small": "mouse", "large": "llama" }, "700": { "input": "mouse, bear", "output": "bear", "small": "mouse", "large": "bear" }, "701": { "input": "mouse, pony", "output": "pony", "small": "mouse", "large": "pony" }, "702": { "input": "tiger, mouse", "output": "tiger", "small": "mouse", "large": "tiger" }, "703": { "input": "sea lion, mouse", "output": "sea lion", "small": "mouse", "large": "sea lion" }, "704": { "input": "mouse, jaguar", "output": "jaguar", "small": "mouse", "large": "jaguar" }, "705": { "input": "mouse, lion", "output": "lion", "small": "mouse", "large": "lion" }, "706": { "input": "mouse, wildebeest", "output": "wildebeest", "small": "mouse", "large": "wildebeest" }, "707": { "input": "mouse, tuna", "output": "tuna", "small": "mouse", "large": "tuna" }, "708": { "input": "gorilla, mouse", "output": "gorilla", "small": "mouse", "large": "gorilla" }, "709": { "input": "mouse, mule", "output": "mule", "small": "mouse", "large": "mule" }, "710": { "input": "manatee, mouse", "output": "manatee", "small": "mouse", "large": "manatee" }, "711": { "input": "mouse, sturgeon", "output": "sturgeon", "small": "mouse", "large": "sturgeon" }, "712": { "input": "mouse, camel", "output": "camel", "small": "mouse", "large": "camel" }, "713": { "input": "mouse, elk", "output": "elk", "small": "mouse", "large": "elk" }, "714": { "input": "horse, mouse", "output": "horse", "small": "mouse", "large": "horse" }, "715": { "input": "cattle, mouse", "output": "cattle", "small": "mouse", "large": "cattle" }, "716": { "input": "mouse, shark", "output": "shark", "small": "mouse", "large": "shark" }, "717": { "input": "mouse, elephant", "output": "elephant", "small": "mouse", "large": "elephant" }, "718": { "input": "mouse, giraffe", "output": "giraffe", "small": "mouse", "large": "giraffe" }, "719": { "input": "moose, mouse", "output": "moose", "small": "mouse", "large": "moose" }, "720": { "input": "crocodile, mouse", "output": "crocodile", "small": "mouse", "large": "crocodile" }, "721": { "input": "liger, mouse", "output": "liger", "small": "mouse", "large": "liger" }, "722": { "input": "mouse, grizzly bear", "output": "grizzly bear", "small": "mouse", "large": "grizzly bear" }, "723": { "input": "mouse, hippopotamus", "output": "hippopotamus", "small": "mouse", "large": "hippopotamus" }, "724": { "input": "mouse, whale shark", "output": "whale shark", "small": "mouse", "large": "whale shark" }, "725": { "input": "mouse, killer whale", "output": "killer whale", "small": "mouse", "large": "killer whale" }, "726": { "input": "mouse, great white shark", "output": "great white shark", "small": "mouse", "large": "great white shark" }, "727": { "input": "sperm whale, mouse", "output": "sperm whale", "small": "mouse", "large": "sperm whale" }, "728": { "input": "mouse, polar bear", "output": "polar bear", "small": "mouse", "large": "polar bear" }, "729": { "input": "elephant, mouse", "output": "elephant", "small": "mouse", "large": "elephant" }, "730": { "input": "rabbit, hummingbird", "output": "rabbit", "small": "hummingbird", "large": "rabbit" }, "731": { "input": "hummingbird, lobster", "output": "lobster", "small": "hummingbird", "large": "lobster" }, "732": { "input": "parrot, hummingbird", "output": "parrot", "small": "hummingbird", "large": "parrot" }, "733": { "input": "cat, hummingbird", "output": "cat", "small": "hummingbird", "large": "cat" }, "734": { "input": "hummingbird, largemouth bass", "output": "largemouth bass", "small": "hummingbird", "large": "largemouth bass" }, "735": { "input": "hummingbird, pelican", "output": "pelican", "small": "hummingbird", "large": "pelican" }, "736": { "input": "hummingbird, koala", "output": "koala", "small": "hummingbird", "large": "koala" }, "737": { "input": "poodle, hummingbird", "output": "poodle", "small": "hummingbird", "large": "poodle" }, "738": { "input": "bald eagle, hummingbird", "output": "bald eagle", "small": "hummingbird", "large": "bald eagle" }, "739": { "input": "hummingbird, dachshund", "output": "dachshund", "small": "hummingbird", "large": "dachshund" }, "740": { "input": "hummingbird, beagle", "output": "beagle", "small": "hummingbird", "large": "beagle" }, "741": { "input": "koi, hummingbird", "output": "koi", "small": "hummingbird", "large": "koi" }, "742": { "input": "cockapoo, hummingbird", "output": "cockapoo", "small": "hummingbird", "large": "cockapoo" }, "743": { "input": "hummingbird, puppy", "output": "puppy", "small": "hummingbird", "large": "puppy" }, "744": { "input": "raccoon, hummingbird", "output": "raccoon", "small": "hummingbird", "large": "raccoon" }, "745": { "input": "hummingbird, common carp", "output": "common carp", "small": "hummingbird", "large": "common carp" }, "746": { "input": "hummingbird, pug", "output": "pug", "small": "hummingbird", "large": "pug" }, "747": { "input": "hummingbird, rat terrier", "output": "rat terrier", "small": "hummingbird", "large": "rat terrier" }, "748": { "input": "hummingbird, racoon", "output": "racoon", "small": "hummingbird", "large": "racoon" }, "749": { "input": "hummingbird, sheltie", "output": "sheltie", "small": "hummingbird", "large": "sheltie" }, "750": { "input": "hummingbird, labradoodle", "output": "labradoodle", "small": "hummingbird", "large": "labradoodle" }, "751": { "input": "goldendoodle, hummingbird", "output": "goldendoodle", "small": "hummingbird", "large": "goldendoodle" }, "752": { "input": "hummingbird, collie", "output": "collie", "small": "hummingbird", "large": "collie" }, "753": { "input": "coyote, hummingbird", "output": "coyote", "small": "hummingbird", "large": "coyote" }, "754": { "input": "dog, hummingbird", "output": "dog", "small": "hummingbird", "large": "dog" }, "755": { "input": "chamois, hummingbird", "output": "chamois", "small": "hummingbird", "large": "chamois" }, "756": { "input": "hummingbird, chinook", "output": "chinook", "small": "hummingbird", "large": "chinook" }, "757": { "input": "human, hummingbird", "output": "human", "small": "hummingbird", "large": "human" }, "758": { "input": "octopus, hummingbird", "output": "octopus", "small": "hummingbird", "large": "octopus" }, "759": { "input": "hummingbird, alpaca", "output": "alpaca", "small": "hummingbird", "large": "alpaca" }, "760": { "input": "hummingbird, donkey", "output": "donkey", "small": "hummingbird", "large": "donkey" }, "761": { "input": "hummingbird, pit bull", "output": "pit bull", "small": "hummingbird", "large": "pit bull" }, "762": { "input": "hummingbird, bulldog", "output": "bulldog", "small": "hummingbird", "large": "bulldog" }, "763": { "input": "goat, hummingbird", "output": "goat", "small": "hummingbird", "large": "goat" }, "764": { "input": "greyhound, hummingbird", "output": "greyhound", "small": "hummingbird", "large": "greyhound" }, "765": { "input": "hummingbird, wombat", "output": "wombat", "small": "hummingbird", "large": "wombat" }, "766": { "input": "hummingbird, golden retriever", "output": "golden retriever", "small": "hummingbird", "large": "golden retriever" }, "767": { "input": "hummingbird, leopard", "output": "leopard", "small": "hummingbird", "large": "leopard" }, "768": { "input": "hummingbird, capybara", "output": "capybara", "small": "hummingbird", "large": "capybara" }, "769": { "input": "boxer, hummingbird", "output": "boxer", "small": "hummingbird", "large": "boxer" }, "770": { "input": "hummingbird, chimpanzee", "output": "chimpanzee", "small": "hummingbird", "large": "chimpanzee" }, "771": { "input": "cougar, hummingbird", "output": "cougar", "small": "hummingbird", "large": "cougar" }, "772": { "input": "tortoise, hummingbird", "output": "tortoise", "small": "hummingbird", "large": "tortoise" }, "773": { "input": "hummingbird, deer", "output": "deer", "small": "hummingbird", "large": "deer" }, "774": { "input": "hummingbird, wolf", "output": "wolf", "small": "hummingbird", "large": "wolf" }, "775": { "input": "cheetah, hummingbird", "output": "cheetah", "small": "hummingbird", "large": "cheetah" }, "776": { "input": "hummingbird, turtle", "output": "turtle", "small": "hummingbird", "large": "turtle" }, "777": { "input": "orangutan, hummingbird", "output": "orangutan", "small": "hummingbird", "large": "orangutan" }, "778": { "input": "hummingbird, wild boar", "output": "wild boar", "small": "hummingbird", "large": "wild boar" }, "779": { "input": "bull shark, hummingbird", "output": "bull shark", "small": "hummingbird", "large": "bull shark" }, "780": { "input": "hummingbird, llama", "output": "llama", "small": "hummingbird", "large": "llama" }, "781": { "input": "hummingbird, bear", "output": "bear", "small": "hummingbird", "large": "bear" }, "782": { "input": "pony, hummingbird", "output": "pony", "small": "hummingbird", "large": "pony" }, "783": { "input": "tiger, hummingbird", "output": "tiger", "small": "hummingbird", "large": "tiger" }, "784": { "input": "hummingbird, sea lion", "output": "sea lion", "small": "hummingbird", "large": "sea lion" }, "785": { "input": "jaguar, hummingbird", "output": "jaguar", "small": "hummingbird", "large": "jaguar" }, "786": { "input": "lion, hummingbird", "output": "lion", "small": "hummingbird", "large": "lion" }, "787": { "input": "hummingbird, wildebeest", "output": "wildebeest", "small": "hummingbird", "large": "wildebeest" }, "788": { "input": "hummingbird, tuna", "output": "tuna", "small": "hummingbird", "large": "tuna" }, "789": { "input": "gorilla, hummingbird", "output": "gorilla", "small": "hummingbird", "large": "gorilla" }, "790": { "input": "hummingbird, mule", "output": "mule", "small": "hummingbird", "large": "mule" }, "791": { "input": "manatee, hummingbird", "output": "manatee", "small": "hummingbird", "large": "manatee" }, "792": { "input": "sturgeon, hummingbird", "output": "sturgeon", "small": "hummingbird", "large": "sturgeon" }, "793": { "input": "hummingbird, camel", "output": "camel", "small": "hummingbird", "large": "camel" }, "794": { "input": "elk, hummingbird", "output": "elk", "small": "hummingbird", "large": "elk" }, "795": { "input": "hummingbird, horse", "output": "horse", "small": "hummingbird", "large": "horse" }, "796": { "input": "hummingbird, cattle", "output": "cattle", "small": "hummingbird", "large": "cattle" }, "797": { "input": "shark, hummingbird", "output": "shark", "small": "hummingbird", "large": "shark" }, "798": { "input": "hummingbird, elephant", "output": "elephant", "small": "hummingbird", "large": "elephant" }, "799": { "input": "hummingbird, giraffe", "output": "giraffe", "small": "hummingbird", "large": "giraffe" }, "800": { "input": "moose, hummingbird", "output": "moose", "small": "hummingbird", "large": "moose" }, "801": { "input": "crocodile, hummingbird", "output": "crocodile", "small": "hummingbird", "large": "crocodile" }, "802": { "input": "hummingbird, liger", "output": "liger", "small": "hummingbird", "large": "liger" }, "803": { "input": "grizzly bear, hummingbird", "output": "grizzly bear", "small": "hummingbird", "large": "grizzly bear" }, "804": { "input": "hummingbird, hippopotamus", "output": "hippopotamus", "small": "hummingbird", "large": "hippopotamus" }, "805": { "input": "whale shark, hummingbird", "output": "whale shark", "small": "hummingbird", "large": "whale shark" }, "806": { "input": "killer whale, hummingbird", "output": "killer whale", "small": "hummingbird", "large": "killer whale" }, "807": { "input": "hummingbird, great white shark", "output": "great white shark", "small": "hummingbird", "large": "great white shark" }, "808": { "input": "sperm whale, hummingbird", "output": "sperm whale", "small": "hummingbird", "large": "sperm whale" }, "809": { "input": "hummingbird, polar bear", "output": "polar bear", "small": "hummingbird", "large": "polar bear" }, "810": { "input": "hummingbird, elephant", "output": "elephant", "small": "hummingbird", "large": "elephant" }, "811": { "input": "rabbit, swallow", "output": "rabbit", "small": "swallow", "large": "rabbit" }, "812": { "input": "lobster, swallow", "output": "lobster", "small": "swallow", "large": "lobster" }, "813": { "input": "swallow, parrot", "output": "parrot", "small": "swallow", "large": "parrot" }, "814": { "input": "swallow, cat", "output": "cat", "small": "swallow", "large": "cat" }, "815": { "input": "swallow, largemouth bass", "output": "largemouth bass", "small": "swallow", "large": "largemouth bass" }, "816": { "input": "swallow, pelican", "output": "pelican", "small": "swallow", "large": "pelican" }, "817": { "input": "koala, swallow", "output": "koala", "small": "swallow", "large": "koala" }, "818": { "input": "poodle, swallow", "output": "poodle", "small": "swallow", "large": "poodle" }, "819": { "input": "swallow, bald eagle", "output": "bald eagle", "small": "swallow", "large": "bald eagle" }, "820": { "input": "dachshund, swallow", "output": "dachshund", "small": "swallow", "large": "dachshund" }, "821": { "input": "beagle, swallow", "output": "beagle", "small": "swallow", "large": "beagle" }, "822": { "input": "koi, swallow", "output": "koi", "small": "swallow", "large": "koi" }, "823": { "input": "cockapoo, swallow", "output": "cockapoo", "small": "swallow", "large": "cockapoo" }, "824": { "input": "swallow, puppy", "output": "puppy", "small": "swallow", "large": "puppy" }, "825": { "input": "raccoon, swallow", "output": "raccoon", "small": "swallow", "large": "raccoon" }, "826": { "input": "common carp, swallow", "output": "common carp", "small": "swallow", "large": "common carp" }, "827": { "input": "pug, swallow", "output": "pug", "small": "swallow", "large": "pug" }, "828": { "input": "swallow, rat terrier", "output": "rat terrier", "small": "swallow", "large": "rat terrier" }, "829": { "input": "swallow, racoon", "output": "racoon", "small": "swallow", "large": "racoon" }, "830": { "input": "swallow, sheltie", "output": "sheltie", "small": "swallow", "large": "sheltie" }, "831": { "input": "labradoodle, swallow", "output": "labradoodle", "small": "swallow", "large": "labradoodle" }, "832": { "input": "swallow, goldendoodle", "output": "goldendoodle", "small": "swallow", "large": "goldendoodle" }, "833": { "input": "collie, swallow", "output": "collie", "small": "swallow", "large": "collie" }, "834": { "input": "swallow, coyote", "output": "coyote", "small": "swallow", "large": "coyote" }, "835": { "input": "swallow, dog", "output": "dog", "small": "swallow", "large": "dog" }, "836": { "input": "swallow, chamois", "output": "chamois", "small": "swallow", "large": "chamois" }, "837": { "input": "swallow, chinook", "output": "chinook", "small": "swallow", "large": "chinook" }, "838": { "input": "swallow, human", "output": "human", "small": "swallow", "large": "human" }, "839": { "input": "swallow, octopus", "output": "octopus", "small": "swallow", "large": "octopus" }, "840": { "input": "alpaca, swallow", "output": "alpaca", "small": "swallow", "large": "alpaca" }, "841": { "input": "donkey, swallow", "output": "donkey", "small": "swallow", "large": "donkey" }, "842": { "input": "swallow, pit bull", "output": "pit bull", "small": "swallow", "large": "pit bull" }, "843": { "input": "swallow, bulldog", "output": "bulldog", "small": "swallow", "large": "bulldog" }, "844": { "input": "swallow, goat", "output": "goat", "small": "swallow", "large": "goat" }, "845": { "input": "swallow, greyhound", "output": "greyhound", "small": "swallow", "large": "greyhound" }, "846": { "input": "wombat, swallow", "output": "wombat", "small": "swallow", "large": "wombat" }, "847": { "input": "swallow, golden retriever", "output": "golden retriever", "small": "swallow", "large": "golden retriever" }, "848": { "input": "swallow, leopard", "output": "leopard", "small": "swallow", "large": "leopard" }, "849": { "input": "swallow, capybara", "output": "capybara", "small": "swallow", "large": "capybara" }, "850": { "input": "boxer, swallow", "output": "boxer", "small": "swallow", "large": "boxer" }, "851": { "input": "chimpanzee, swallow", "output": "chimpanzee", "small": "swallow", "large": "chimpanzee" }, "852": { "input": "cougar, swallow", "output": "cougar", "small": "swallow", "large": "cougar" }, "853": { "input": "tortoise, swallow", "output": "tortoise", "small": "swallow", "large": "tortoise" }, "854": { "input": "deer, swallow", "output": "deer", "small": "swallow", "large": "deer" }, "855": { "input": "swallow, wolf", "output": "wolf", "small": "swallow", "large": "wolf" }, "856": { "input": "cheetah, swallow", "output": "cheetah", "small": "swallow", "large": "cheetah" }, "857": { "input": "swallow, turtle", "output": "turtle", "small": "swallow", "large": "turtle" }, "858": { "input": "swallow, orangutan", "output": "orangutan", "small": "swallow", "large": "orangutan" }, "859": { "input": "swallow, wild boar", "output": "wild boar", "small": "swallow", "large": "wild boar" }, "860": { "input": "swallow, bull shark", "output": "bull shark", "small": "swallow", "large": "bull shark" }, "861": { "input": "swallow, llama", "output": "llama", "small": "swallow", "large": "llama" }, "862": { "input": "bear, swallow", "output": "bear", "small": "swallow", "large": "bear" }, "863": { "input": "swallow, pony", "output": "pony", "small": "swallow", "large": "pony" }, "864": { "input": "tiger, swallow", "output": "tiger", "small": "swallow", "large": "tiger" }, "865": { "input": "swallow, sea lion", "output": "sea lion", "small": "swallow", "large": "sea lion" }, "866": { "input": "jaguar, swallow", "output": "jaguar", "small": "swallow", "large": "jaguar" }, "867": { "input": "lion, swallow", "output": "lion", "small": "swallow", "large": "lion" }, "868": { "input": "swallow, wildebeest", "output": "wildebeest", "small": "swallow", "large": "wildebeest" }, "869": { "input": "swallow, tuna", "output": "tuna", "small": "swallow", "large": "tuna" }, "870": { "input": "gorilla, swallow", "output": "gorilla", "small": "swallow", "large": "gorilla" }, "871": { "input": "mule, swallow", "output": "mule", "small": "swallow", "large": "mule" }, "872": { "input": "swallow, manatee", "output": "manatee", "small": "swallow", "large": "manatee" }, "873": { "input": "swallow, sturgeon", "output": "sturgeon", "small": "swallow", "large": "sturgeon" }, "874": { "input": "camel, swallow", "output": "camel", "small": "swallow", "large": "camel" }, "875": { "input": "elk, swallow", "output": "elk", "small": "swallow", "large": "elk" }, "876": { "input": "horse, swallow", "output": "horse", "small": "swallow", "large": "horse" }, "877": { "input": "swallow, cattle", "output": "cattle", "small": "swallow", "large": "cattle" }, "878": { "input": "shark, swallow", "output": "shark", "small": "swallow", "large": "shark" }, "879": { "input": "elephant, swallow", "output": "elephant", "small": "swallow", "large": "elephant" }, "880": { "input": "giraffe, swallow", "output": "giraffe", "small": "swallow", "large": "giraffe" }, "881": { "input": "moose, swallow", "output": "moose", "small": "swallow", "large": "moose" }, "882": { "input": "crocodile, swallow", "output": "crocodile", "small": "swallow", "large": "crocodile" }, "883": { "input": "liger, swallow", "output": "liger", "small": "swallow", "large": "liger" }, "884": { "input": "swallow, grizzly bear", "output": "grizzly bear", "small": "swallow", "large": "grizzly bear" }, "885": { "input": "swallow, hippopotamus", "output": "hippopotamus", "small": "swallow", "large": "hippopotamus" }, "886": { "input": "whale shark, swallow", "output": "whale shark", "small": "swallow", "large": "whale shark" }, "887": { "input": "swallow, killer whale", "output": "killer whale", "small": "swallow", "large": "killer whale" }, "888": { "input": "swallow, great white shark", "output": "great white shark", "small": "swallow", "large": "great white shark" }, "889": { "input": "sperm whale, swallow", "output": "sperm whale", "small": "swallow", "large": "sperm whale" }, "890": { "input": "polar bear, swallow", "output": "polar bear", "small": "swallow", "large": "polar bear" }, "891": { "input": "swallow, elephant", "output": "elephant", "small": "swallow", "large": "elephant" }, "892": { "input": "rabbit, guinea pig", "output": "rabbit", "small": "guinea pig", "large": "rabbit" }, "893": { "input": "guinea pig, lobster", "output": "lobster", "small": "guinea pig", "large": "lobster" }, "894": { "input": "guinea pig, parrot", "output": "parrot", "small": "guinea pig", "large": "parrot" }, "895": { "input": "cat, guinea pig", "output": "cat", "small": "guinea pig", "large": "cat" }, "896": { "input": "guinea pig, largemouth bass", "output": "largemouth bass", "small": "guinea pig", "large": "largemouth bass" }, "897": { "input": "pelican, guinea pig", "output": "pelican", "small": "guinea pig", "large": "pelican" }, "898": { "input": "koala, guinea pig", "output": "koala", "small": "guinea pig", "large": "koala" }, "899": { "input": "poodle, guinea pig", "output": "poodle", "small": "guinea pig", "large": "poodle" }, "900": { "input": "guinea pig, bald eagle", "output": "bald eagle", "small": "guinea pig", "large": "bald eagle" }, "901": { "input": "dachshund, guinea pig", "output": "dachshund", "small": "guinea pig", "large": "dachshund" }, "902": { "input": "guinea pig, beagle", "output": "beagle", "small": "guinea pig", "large": "beagle" }, "903": { "input": "koi, guinea pig", "output": "koi", "small": "guinea pig", "large": "koi" }, "904": { "input": "guinea pig, cockapoo", "output": "cockapoo", "small": "guinea pig", "large": "cockapoo" }, "905": { "input": "puppy, guinea pig", "output": "puppy", "small": "guinea pig", "large": "puppy" }, "906": { "input": "guinea pig, raccoon", "output": "raccoon", "small": "guinea pig", "large": "raccoon" }, "907": { "input": "guinea pig, common carp", "output": "common carp", "small": "guinea pig", "large": "common carp" }, "908": { "input": "pug, guinea pig", "output": "pug", "small": "guinea pig", "large": "pug" }, "909": { "input": "rat terrier, guinea pig", "output": "rat terrier", "small": "guinea pig", "large": "rat terrier" }, "910": { "input": "guinea pig, racoon", "output": "racoon", "small": "guinea pig", "large": "racoon" }, "911": { "input": "guinea pig, sheltie", "output": "sheltie", "small": "guinea pig", "large": "sheltie" }, "912": { "input": "guinea pig, labradoodle", "output": "labradoodle", "small": "guinea pig", "large": "labradoodle" }, "913": { "input": "goldendoodle, guinea pig", "output": "goldendoodle", "small": "guinea pig", "large": "goldendoodle" }, "914": { "input": "guinea pig, collie", "output": "collie", "small": "guinea pig", "large": "collie" }, "915": { "input": "coyote, guinea pig", "output": "coyote", "small": "guinea pig", "large": "coyote" }, "916": { "input": "dog, guinea pig", "output": "dog", "small": "guinea pig", "large": "dog" }, "917": { "input": "chamois, guinea pig", "output": "chamois", "small": "guinea pig", "large": "chamois" }, "918": { "input": "guinea pig, chinook", "output": "chinook", "small": "guinea pig", "large": "chinook" }, "919": { "input": "guinea pig, human", "output": "human", "small": "guinea pig", "large": "human" }, "920": { "input": "guinea pig, octopus", "output": "octopus", "small": "guinea pig", "large": "octopus" }, "921": { "input": "guinea pig, alpaca", "output": "alpaca", "small": "guinea pig", "large": "alpaca" }, "922": { "input": "guinea pig, donkey", "output": "donkey", "small": "guinea pig", "large": "donkey" }, "923": { "input": "pit bull, guinea pig", "output": "pit bull", "small": "guinea pig", "large": "pit bull" }, "924": { "input": "guinea pig, bulldog", "output": "bulldog", "small": "guinea pig", "large": "bulldog" }, "925": { "input": "goat, guinea pig", "output": "goat", "small": "guinea pig", "large": "goat" }, "926": { "input": "greyhound, guinea pig", "output": "greyhound", "small": "guinea pig", "large": "greyhound" }, "927": { "input": "guinea pig, wombat", "output": "wombat", "small": "guinea pig", "large": "wombat" }, "928": { "input": "golden retriever, guinea pig", "output": "golden retriever", "small": "guinea pig", "large": "golden retriever" }, "929": { "input": "leopard, guinea pig", "output": "leopard", "small": "guinea pig", "large": "leopard" }, "930": { "input": "guinea pig, capybara", "output": "capybara", "small": "guinea pig", "large": "capybara" }, "931": { "input": "guinea pig, boxer", "output": "boxer", "small": "guinea pig", "large": "boxer" }, "932": { "input": "guinea pig, chimpanzee", "output": "chimpanzee", "small": "guinea pig", "large": "chimpanzee" }, "933": { "input": "guinea pig, cougar", "output": "cougar", "small": "guinea pig", "large": "cougar" }, "934": { "input": "guinea pig, tortoise", "output": "tortoise", "small": "guinea pig", "large": "tortoise" }, "935": { "input": "deer, guinea pig", "output": "deer", "small": "guinea pig", "large": "deer" }, "936": { "input": "guinea pig, wolf", "output": "wolf", "small": "guinea pig", "large": "wolf" }, "937": { "input": "guinea pig, cheetah", "output": "cheetah", "small": "guinea pig", "large": "cheetah" }, "938": { "input": "guinea pig, turtle", "output": "turtle", "small": "guinea pig", "large": "turtle" }, "939": { "input": "orangutan, guinea pig", "output": "orangutan", "small": "guinea pig", "large": "orangutan" }, "940": { "input": "wild boar, guinea pig", "output": "wild boar", "small": "guinea pig", "large": "wild boar" }, "941": { "input": "bull shark, guinea pig", "output": "bull shark", "small": "guinea pig", "large": "bull shark" }, "942": { "input": "llama, guinea pig", "output": "llama", "small": "guinea pig", "large": "llama" }, "943": { "input": "bear, guinea pig", "output": "bear", "small": "guinea pig", "large": "bear" }, "944": { "input": "pony, guinea pig", "output": "pony", "small": "guinea pig", "large": "pony" }, "945": { "input": "guinea pig, tiger", "output": "tiger", "small": "guinea pig", "large": "tiger" }, "946": { "input": "guinea pig, sea lion", "output": "sea lion", "small": "guinea pig", "large": "sea lion" }, "947": { "input": "jaguar, guinea pig", "output": "jaguar", "small": "guinea pig", "large": "jaguar" }, "948": { "input": "guinea pig, lion", "output": "lion", "small": "guinea pig", "large": "lion" }, "949": { "input": "guinea pig, wildebeest", "output": "wildebeest", "small": "guinea pig", "large": "wildebeest" }, "950": { "input": "guinea pig, tuna", "output": "tuna", "small": "guinea pig", "large": "tuna" }, "951": { "input": "gorilla, guinea pig", "output": "gorilla", "small": "guinea pig", "large": "gorilla" }, "952": { "input": "mule, guinea pig", "output": "mule", "small": "guinea pig", "large": "mule" }, "953": { "input": "guinea pig, manatee", "output": "manatee", "small": "guinea pig", "large": "manatee" }, "954": { "input": "guinea pig, sturgeon", "output": "sturgeon", "small": "guinea pig", "large": "sturgeon" }, "955": { "input": "camel, guinea pig", "output": "camel", "small": "guinea pig", "large": "camel" }, "956": { "input": "elk, guinea pig", "output": "elk", "small": "guinea pig", "large": "elk" }, "957": { "input": "horse, guinea pig", "output": "horse", "small": "guinea pig", "large": "horse" }, "958": { "input": "guinea pig, cattle", "output": "cattle", "small": "guinea pig", "large": "cattle" }, "959": { "input": "guinea pig, shark", "output": "shark", "small": "guinea pig", "large": "shark" }, "960": { "input": "elephant, guinea pig", "output": "elephant", "small": "guinea pig", "large": "elephant" }, "961": { "input": "giraffe, guinea pig", "output": "giraffe", "small": "guinea pig", "large": "giraffe" }, "962": { "input": "moose, guinea pig", "output": "moose", "small": "guinea pig", "large": "moose" }, "963": { "input": "guinea pig, crocodile", "output": "crocodile", "small": "guinea pig", "large": "crocodile" }, "964": { "input": "guinea pig, liger", "output": "liger", "small": "guinea pig", "large": "liger" }, "965": { "input": "grizzly bear, guinea pig", "output": "grizzly bear", "small": "guinea pig", "large": "grizzly bear" }, "966": { "input": "guinea pig, hippopotamus", "output": "hippopotamus", "small": "guinea pig", "large": "hippopotamus" }, "967": { "input": "guinea pig, whale shark", "output": "whale shark", "small": "guinea pig", "large": "whale shark" }, "968": { "input": "killer whale, guinea pig", "output": "killer whale", "small": "guinea pig", "large": "killer whale" }, "969": { "input": "great white shark, guinea pig", "output": "great white shark", "small": "guinea pig", "large": "great white shark" }, "970": { "input": "sperm whale, guinea pig", "output": "sperm whale", "small": "guinea pig", "large": "sperm whale" }, "971": { "input": "guinea pig, polar bear", "output": "polar bear", "small": "guinea pig", "large": "polar bear" }, "972": { "input": "guinea pig, elephant", "output": "elephant", "small": "guinea pig", "large": "elephant" }, "973": { "input": "rabbit, chinchilla", "output": "rabbit", "small": "chinchilla", "large": "rabbit" }, "974": { "input": "chinchilla, lobster", "output": "lobster", "small": "chinchilla", "large": "lobster" }, "975": { "input": "parrot, chinchilla", "output": "parrot", "small": "chinchilla", "large": "parrot" }, "976": { "input": "chinchilla, cat", "output": "cat", "small": "chinchilla", "large": "cat" }, "977": { "input": "largemouth bass, chinchilla", "output": "largemouth bass", "small": "chinchilla", "large": "largemouth bass" }, "978": { "input": "chinchilla, pelican", "output": "pelican", "small": "chinchilla", "large": "pelican" }, "979": { "input": "koala, chinchilla", "output": "koala", "small": "chinchilla", "large": "koala" }, "980": { "input": "chinchilla, poodle", "output": "poodle", "small": "chinchilla", "large": "poodle" }, "981": { "input": "bald eagle, chinchilla", "output": "bald eagle", "small": "chinchilla", "large": "bald eagle" }, "982": { "input": "dachshund, chinchilla", "output": "dachshund", "small": "chinchilla", "large": "dachshund" }, "983": { "input": "beagle, chinchilla", "output": "beagle", "small": "chinchilla", "large": "beagle" }, "984": { "input": "koi, chinchilla", "output": "koi", "small": "chinchilla", "large": "koi" }, "985": { "input": "chinchilla, cockapoo", "output": "cockapoo", "small": "chinchilla", "large": "cockapoo" }, "986": { "input": "chinchilla, puppy", "output": "puppy", "small": "chinchilla", "large": "puppy" }, "987": { "input": "raccoon, chinchilla", "output": "raccoon", "small": "chinchilla", "large": "raccoon" }, "988": { "input": "chinchilla, common carp", "output": "common carp", "small": "chinchilla", "large": "common carp" }, "989": { "input": "pug, chinchilla", "output": "pug", "small": "chinchilla", "large": "pug" }, "990": { "input": "rat terrier, chinchilla", "output": "rat terrier", "small": "chinchilla", "large": "rat terrier" }, "991": { "input": "chinchilla, racoon", "output": "racoon", "small": "chinchilla", "large": "racoon" }, "992": { "input": "sheltie, chinchilla", "output": "sheltie", "small": "chinchilla", "large": "sheltie" }, "993": { "input": "labradoodle, chinchilla", "output": "labradoodle", "small": "chinchilla", "large": "labradoodle" }, "994": { "input": "goldendoodle, chinchilla", "output": "goldendoodle", "small": "chinchilla", "large": "goldendoodle" }, "995": { "input": "chinchilla, collie", "output": "collie", "small": "chinchilla", "large": "collie" }, "996": { "input": "chinchilla, coyote", "output": "coyote", "small": "chinchilla", "large": "coyote" }, "997": { "input": "dog, chinchilla", "output": "dog", "small": "chinchilla", "large": "dog" }, "998": { "input": "chinchilla, chamois", "output": "chamois", "small": "chinchilla", "large": "chamois" }, "999": { "input": "chinchilla, chinook", "output": "chinook", "small": "chinchilla", "large": "chinook" }, "1000": { "input": "human, chinchilla", "output": "human", "small": "chinchilla", "large": "human" }, "1001": { "input": "octopus, chinchilla", "output": "octopus", "small": "chinchilla", "large": "octopus" }, "1002": { "input": "alpaca, chinchilla", "output": "alpaca", "small": "chinchilla", "large": "alpaca" }, "1003": { "input": "chinchilla, donkey", "output": "donkey", "small": "chinchilla", "large": "donkey" }, "1004": { "input": "chinchilla, pit bull", "output": "pit bull", "small": "chinchilla", "large": "pit bull" }, "1005": { "input": "chinchilla, bulldog", "output": "bulldog", "small": "chinchilla", "large": "bulldog" }, "1006": { "input": "chinchilla, goat", "output": "goat", "small": "chinchilla", "large": "goat" }, "1007": { "input": "greyhound, chinchilla", "output": "greyhound", "small": "chinchilla", "large": "greyhound" }, "1008": { "input": "wombat, chinchilla", "output": "wombat", "small": "chinchilla", "large": "wombat" }, "1009": { "input": "golden retriever, chinchilla", "output": "golden retriever", "small": "chinchilla", "large": "golden retriever" }, "1010": { "input": "chinchilla, leopard", "output": "leopard", "small": "chinchilla", "large": "leopard" }, "1011": { "input": "capybara, chinchilla", "output": "capybara", "small": "chinchilla", "large": "capybara" }, "1012": { "input": "chinchilla, boxer", "output": "boxer", "small": "chinchilla", "large": "boxer" }, "1013": { "input": "chinchilla, chimpanzee", "output": "chimpanzee", "small": "chinchilla", "large": "chimpanzee" }, "1014": { "input": "chinchilla, cougar", "output": "cougar", "small": "chinchilla", "large": "cougar" }, "1015": { "input": "chinchilla, tortoise", "output": "tortoise", "small": "chinchilla", "large": "tortoise" }, "1016": { "input": "chinchilla, deer", "output": "deer", "small": "chinchilla", "large": "deer" }, "1017": { "input": "chinchilla, wolf", "output": "wolf", "small": "chinchilla", "large": "wolf" }, "1018": { "input": "chinchilla, cheetah", "output": "cheetah", "small": "chinchilla", "large": "cheetah" }, "1019": { "input": "turtle, chinchilla", "output": "turtle", "small": "chinchilla", "large": "turtle" }, "1020": { "input": "orangutan, chinchilla", "output": "orangutan", "small": "chinchilla", "large": "orangutan" }, "1021": { "input": "chinchilla, wild boar", "output": "wild boar", "small": "chinchilla", "large": "wild boar" }, "1022": { "input": "chinchilla, bull shark", "output": "bull shark", "small": "chinchilla", "large": "bull shark" }, "1023": { "input": "chinchilla, llama", "output": "llama", "small": "chinchilla", "large": "llama" }, "1024": { "input": "bear, chinchilla", "output": "bear", "small": "chinchilla", "large": "bear" }, "1025": { "input": "pony, chinchilla", "output": "pony", "small": "chinchilla", "large": "pony" }, "1026": { "input": "chinchilla, tiger", "output": "tiger", "small": "chinchilla", "large": "tiger" }, "1027": { "input": "sea lion, chinchilla", "output": "sea lion", "small": "chinchilla", "large": "sea lion" }, "1028": { "input": "chinchilla, jaguar", "output": "jaguar", "small": "chinchilla", "large": "jaguar" }, "1029": { "input": "chinchilla, lion", "output": "lion", "small": "chinchilla", "large": "lion" }, "1030": { "input": "wildebeest, chinchilla", "output": "wildebeest", "small": "chinchilla", "large": "wildebeest" }, "1031": { "input": "tuna, chinchilla", "output": "tuna", "small": "chinchilla", "large": "tuna" }, "1032": { "input": "chinchilla, gorilla", "output": "gorilla", "small": "chinchilla", "large": "gorilla" }, "1033": { "input": "mule, chinchilla", "output": "mule", "small": "chinchilla", "large": "mule" }, "1034": { "input": "chinchilla, manatee", "output": "manatee", "small": "chinchilla", "large": "manatee" }, "1035": { "input": "chinchilla, sturgeon", "output": "sturgeon", "small": "chinchilla", "large": "sturgeon" }, "1036": { "input": "camel, chinchilla", "output": "camel", "small": "chinchilla", "large": "camel" }, "1037": { "input": "elk, chinchilla", "output": "elk", "small": "chinchilla", "large": "elk" }, "1038": { "input": "horse, chinchilla", "output": "horse", "small": "chinchilla", "large": "horse" }, "1039": { "input": "cattle, chinchilla", "output": "cattle", "small": "chinchilla", "large": "cattle" }, "1040": { "input": "chinchilla, shark", "output": "shark", "small": "chinchilla", "large": "shark" }, "1041": { "input": "chinchilla, elephant", "output": "elephant", "small": "chinchilla", "large": "elephant" }, "1042": { "input": "giraffe, chinchilla", "output": "giraffe", "small": "chinchilla", "large": "giraffe" }, "1043": { "input": "chinchilla, moose", "output": "moose", "small": "chinchilla", "large": "moose" }, "1044": { "input": "crocodile, chinchilla", "output": "crocodile", "small": "chinchilla", "large": "crocodile" }, "1045": { "input": "chinchilla, liger", "output": "liger", "small": "chinchilla", "large": "liger" }, "1046": { "input": "grizzly bear, chinchilla", "output": "grizzly bear", "small": "chinchilla", "large": "grizzly bear" }, "1047": { "input": "chinchilla, hippopotamus", "output": "hippopotamus", "small": "chinchilla", "large": "hippopotamus" }, "1048": { "input": "whale shark, chinchilla", "output": "whale shark", "small": "chinchilla", "large": "whale shark" }, "1049": { "input": "chinchilla, killer whale", "output": "killer whale", "small": "chinchilla", "large": "killer whale" }, "1050": { "input": "great white shark, chinchilla", "output": "great white shark", "small": "chinchilla", "large": "great white shark" }, "1051": { "input": "sperm whale, chinchilla", "output": "sperm whale", "small": "chinchilla", "large": "sperm whale" }, "1052": { "input": "polar bear, chinchilla", "output": "polar bear", "small": "chinchilla", "large": "polar bear" }, "1053": { "input": "chinchilla, elephant", "output": "elephant", "small": "chinchilla", "large": "elephant" }, "1054": { "input": "rabbit, ferret", "output": "rabbit", "small": "ferret", "large": "rabbit" }, "1055": { "input": "ferret, lobster", "output": "lobster", "small": "ferret", "large": "lobster" }, "1056": { "input": "ferret, parrot", "output": "parrot", "small": "ferret", "large": "parrot" }, "1057": { "input": "cat, ferret", "output": "cat", "small": "ferret", "large": "cat" }, "1058": { "input": "ferret, largemouth bass", "output": "largemouth bass", "small": "ferret", "large": "largemouth bass" }, "1059": { "input": "pelican, ferret", "output": "pelican", "small": "ferret", "large": "pelican" }, "1060": { "input": "ferret, koala", "output": "koala", "small": "ferret", "large": "koala" }, "1061": { "input": "poodle, ferret", "output": "poodle", "small": "ferret", "large": "poodle" }, "1062": { "input": "bald eagle, ferret", "output": "bald eagle", "small": "ferret", "large": "bald eagle" }, "1063": { "input": "dachshund, ferret", "output": "dachshund", "small": "ferret", "large": "dachshund" }, "1064": { "input": "beagle, ferret", "output": "beagle", "small": "ferret", "large": "beagle" }, "1065": { "input": "ferret, koi", "output": "koi", "small": "ferret", "large": "koi" }, "1066": { "input": "ferret, cockapoo", "output": "cockapoo", "small": "ferret", "large": "cockapoo" }, "1067": { "input": "ferret, puppy", "output": "puppy", "small": "ferret", "large": "puppy" }, "1068": { "input": "raccoon, ferret", "output": "raccoon", "small": "ferret", "large": "raccoon" }, "1069": { "input": "common carp, ferret", "output": "common carp", "small": "ferret", "large": "common carp" }, "1070": { "input": "pug, ferret", "output": "pug", "small": "ferret", "large": "pug" }, "1071": { "input": "rat terrier, ferret", "output": "rat terrier", "small": "ferret", "large": "rat terrier" }, "1072": { "input": "racoon, ferret", "output": "racoon", "small": "ferret", "large": "racoon" }, "1073": { "input": "ferret, sheltie", "output": "sheltie", "small": "ferret", "large": "sheltie" }, "1074": { "input": "labradoodle, ferret", "output": "labradoodle", "small": "ferret", "large": "labradoodle" }, "1075": { "input": "ferret, goldendoodle", "output": "goldendoodle", "small": "ferret", "large": "goldendoodle" }, "1076": { "input": "collie, ferret", "output": "collie", "small": "ferret", "large": "collie" }, "1077": { "input": "ferret, coyote", "output": "coyote", "small": "ferret", "large": "coyote" }, "1078": { "input": "dog, ferret", "output": "dog", "small": "ferret", "large": "dog" }, "1079": { "input": "ferret, chamois", "output": "chamois", "small": "ferret", "large": "chamois" }, "1080": { "input": "chinook, ferret", "output": "chinook", "small": "ferret", "large": "chinook" }, "1081": { "input": "human, ferret", "output": "human", "small": "ferret", "large": "human" }, "1082": { "input": "octopus, ferret", "output": "octopus", "small": "ferret", "large": "octopus" }, "1083": { "input": "alpaca, ferret", "output": "alpaca", "small": "ferret", "large": "alpaca" }, "1084": { "input": "ferret, donkey", "output": "donkey", "small": "ferret", "large": "donkey" }, "1085": { "input": "ferret, pit bull", "output": "pit bull", "small": "ferret", "large": "pit bull" }, "1086": { "input": "bulldog, ferret", "output": "bulldog", "small": "ferret", "large": "bulldog" }, "1087": { "input": "goat, ferret", "output": "goat", "small": "ferret", "large": "goat" }, "1088": { "input": "greyhound, ferret", "output": "greyhound", "small": "ferret", "large": "greyhound" }, "1089": { "input": "ferret, wombat", "output": "wombat", "small": "ferret", "large": "wombat" }, "1090": { "input": "golden retriever, ferret", "output": "golden retriever", "small": "ferret", "large": "golden retriever" }, "1091": { "input": "ferret, leopard", "output": "leopard", "small": "ferret", "large": "leopard" }, "1092": { "input": "ferret, capybara", "output": "capybara", "small": "ferret", "large": "capybara" }, "1093": { "input": "ferret, boxer", "output": "boxer", "small": "ferret", "large": "boxer" }, "1094": { "input": "ferret, chimpanzee", "output": "chimpanzee", "small": "ferret", "large": "chimpanzee" }, "1095": { "input": "cougar, ferret", "output": "cougar", "small": "ferret", "large": "cougar" }, "1096": { "input": "ferret, tortoise", "output": "tortoise", "small": "ferret", "large": "tortoise" }, "1097": { "input": "ferret, deer", "output": "deer", "small": "ferret", "large": "deer" }, "1098": { "input": "wolf, ferret", "output": "wolf", "small": "ferret", "large": "wolf" }, "1099": { "input": "ferret, cheetah", "output": "cheetah", "small": "ferret", "large": "cheetah" }, "1100": { "input": "ferret, turtle", "output": "turtle", "small": "ferret", "large": "turtle" }, "1101": { "input": "orangutan, ferret", "output": "orangutan", "small": "ferret", "large": "orangutan" }, "1102": { "input": "ferret, wild boar", "output": "wild boar", "small": "ferret", "large": "wild boar" }, "1103": { "input": "bull shark, ferret", "output": "bull shark", "small": "ferret", "large": "bull shark" }, "1104": { "input": "llama, ferret", "output": "llama", "small": "ferret", "large": "llama" }, "1105": { "input": "bear, ferret", "output": "bear", "small": "ferret", "large": "bear" }, "1106": { "input": "pony, ferret", "output": "pony", "small": "ferret", "large": "pony" }, "1107": { "input": "ferret, tiger", "output": "tiger", "small": "ferret", "large": "tiger" }, "1108": { "input": "sea lion, ferret", "output": "sea lion", "small": "ferret", "large": "sea lion" }, "1109": { "input": "ferret, jaguar", "output": "jaguar", "small": "ferret", "large": "jaguar" }, "1110": { "input": "lion, ferret", "output": "lion", "small": "ferret", "large": "lion" }, "1111": { "input": "wildebeest, ferret", "output": "wildebeest", "small": "ferret", "large": "wildebeest" }, "1112": { "input": "tuna, ferret", "output": "tuna", "small": "ferret", "large": "tuna" }, "1113": { "input": "gorilla, ferret", "output": "gorilla", "small": "ferret", "large": "gorilla" }, "1114": { "input": "ferret, mule", "output": "mule", "small": "ferret", "large": "mule" }, "1115": { "input": "ferret, manatee", "output": "manatee", "small": "ferret", "large": "manatee" }, "1116": { "input": "sturgeon, ferret", "output": "sturgeon", "small": "ferret", "large": "sturgeon" }, "1117": { "input": "ferret, camel", "output": "camel", "small": "ferret", "large": "camel" }, "1118": { "input": "elk, ferret", "output": "elk", "small": "ferret", "large": "elk" }, "1119": { "input": "horse, ferret", "output": "horse", "small": "ferret", "large": "horse" }, "1120": { "input": "cattle, ferret", "output": "cattle", "small": "ferret", "large": "cattle" }, "1121": { "input": "shark, ferret", "output": "shark", "small": "ferret", "large": "shark" }, "1122": { "input": "ferret, elephant", "output": "elephant", "small": "ferret", "large": "elephant" }, "1123": { "input": "ferret, giraffe", "output": "giraffe", "small": "ferret", "large": "giraffe" }, "1124": { "input": "ferret, moose", "output": "moose", "small": "ferret", "large": "moose" }, "1125": { "input": "ferret, crocodile", "output": "crocodile", "small": "ferret", "large": "crocodile" }, "1126": { "input": "liger, ferret", "output": "liger", "small": "ferret", "large": "liger" }, "1127": { "input": "ferret, grizzly bear", "output": "grizzly bear", "small": "ferret", "large": "grizzly bear" }, "1128": { "input": "ferret, hippopotamus", "output": "hippopotamus", "small": "ferret", "large": "hippopotamus" }, "1129": { "input": "whale shark, ferret", "output": "whale shark", "small": "ferret", "large": "whale shark" }, "1130": { "input": "ferret, killer whale", "output": "killer whale", "small": "ferret", "large": "killer whale" }, "1131": { "input": "ferret, great white shark", "output": "great white shark", "small": "ferret", "large": "great white shark" }, "1132": { "input": "sperm whale, ferret", "output": "sperm whale", "small": "ferret", "large": "sperm whale" }, "1133": { "input": "polar bear, ferret", "output": "polar bear", "small": "ferret", "large": "polar bear" }, "1134": { "input": "elephant, ferret", "output": "elephant", "small": "ferret", "large": "elephant" }, "1135": { "input": "chihuahua, rabbit", "output": "rabbit", "small": "chihuahua", "large": "rabbit" }, "1136": { "input": "chihuahua, lobster", "output": "lobster", "small": "chihuahua", "large": "lobster" }, "1137": { "input": "parrot, chihuahua", "output": "parrot", "small": "chihuahua", "large": "parrot" }, "1138": { "input": "chihuahua, cat", "output": "cat", "small": "chihuahua", "large": "cat" }, "1139": { "input": "chihuahua, largemouth bass", "output": "largemouth bass", "small": "chihuahua", "large": "largemouth bass" }, "1140": { "input": "chihuahua, pelican", "output": "pelican", "small": "chihuahua", "large": "pelican" }, "1141": { "input": "koala, chihuahua", "output": "koala", "small": "chihuahua", "large": "koala" }, "1142": { "input": "poodle, chihuahua", "output": "poodle", "small": "chihuahua", "large": "poodle" }, "1143": { "input": "bald eagle, chihuahua", "output": "bald eagle", "small": "chihuahua", "large": "bald eagle" }, "1144": { "input": "dachshund, chihuahua", "output": "dachshund", "small": "chihuahua", "large": "dachshund" }, "1145": { "input": "beagle, chihuahua", "output": "beagle", "small": "chihuahua", "large": "beagle" }, "1146": { "input": "koi, chihuahua", "output": "koi", "small": "chihuahua", "large": "koi" }, "1147": { "input": "chihuahua, cockapoo", "output": "cockapoo", "small": "chihuahua", "large": "cockapoo" }, "1148": { "input": "puppy, chihuahua", "output": "puppy", "small": "chihuahua", "large": "puppy" }, "1149": { "input": "raccoon, chihuahua", "output": "raccoon", "small": "chihuahua", "large": "raccoon" }, "1150": { "input": "common carp, chihuahua", "output": "common carp", "small": "chihuahua", "large": "common carp" }, "1151": { "input": "chihuahua, pug", "output": "pug", "small": "chihuahua", "large": "pug" }, "1152": { "input": "rat terrier, chihuahua", "output": "rat terrier", "small": "chihuahua", "large": "rat terrier" }, "1153": { "input": "chihuahua, racoon", "output": "racoon", "small": "chihuahua", "large": "racoon" }, "1154": { "input": "sheltie, chihuahua", "output": "sheltie", "small": "chihuahua", "large": "sheltie" }, "1155": { "input": "labradoodle, chihuahua", "output": "labradoodle", "small": "chihuahua", "large": "labradoodle" }, "1156": { "input": "goldendoodle, chihuahua", "output": "goldendoodle", "small": "chihuahua", "large": "goldendoodle" }, "1157": { "input": "chihuahua, collie", "output": "collie", "small": "chihuahua", "large": "collie" }, "1158": { "input": "coyote, chihuahua", "output": "coyote", "small": "chihuahua", "large": "coyote" }, "1159": { "input": "chihuahua, dog", "output": "dog", "small": "chihuahua", "large": "dog" }, "1160": { "input": "chamois, chihuahua", "output": "chamois", "small": "chihuahua", "large": "chamois" }, "1161": { "input": "chinook, chihuahua", "output": "chinook", "small": "chihuahua", "large": "chinook" }, "1162": { "input": "chihuahua, human", "output": "human", "small": "chihuahua", "large": "human" }, "1163": { "input": "chihuahua, octopus", "output": "octopus", "small": "chihuahua", "large": "octopus" }, "1164": { "input": "alpaca, chihuahua", "output": "alpaca", "small": "chihuahua", "large": "alpaca" }, "1165": { "input": "donkey, chihuahua", "output": "donkey", "small": "chihuahua", "large": "donkey" }, "1166": { "input": "chihuahua, pit bull", "output": "pit bull", "small": "chihuahua", "large": "pit bull" }, "1167": { "input": "chihuahua, bulldog", "output": "bulldog", "small": "chihuahua", "large": "bulldog" }, "1168": { "input": "chihuahua, goat", "output": "goat", "small": "chihuahua", "large": "goat" }, "1169": { "input": "chihuahua, greyhound", "output": "greyhound", "small": "chihuahua", "large": "greyhound" }, "1170": { "input": "wombat, chihuahua", "output": "wombat", "small": "chihuahua", "large": "wombat" }, "1171": { "input": "chihuahua, golden retriever", "output": "golden retriever", "small": "chihuahua", "large": "golden retriever" }, "1172": { "input": "leopard, chihuahua", "output": "leopard", "small": "chihuahua", "large": "leopard" }, "1173": { "input": "capybara, chihuahua", "output": "capybara", "small": "chihuahua", "large": "capybara" }, "1174": { "input": "chihuahua, boxer", "output": "boxer", "small": "chihuahua", "large": "boxer" }, "1175": { "input": "chihuahua, chimpanzee", "output": "chimpanzee", "small": "chihuahua", "large": "chimpanzee" }, "1176": { "input": "chihuahua, cougar", "output": "cougar", "small": "chihuahua", "large": "cougar" }, "1177": { "input": "chihuahua, tortoise", "output": "tortoise", "small": "chihuahua", "large": "tortoise" }, "1178": { "input": "deer, chihuahua", "output": "deer", "small": "chihuahua", "large": "deer" }, "1179": { "input": "wolf, chihuahua", "output": "wolf", "small": "chihuahua", "large": "wolf" }, "1180": { "input": "chihuahua, cheetah", "output": "cheetah", "small": "chihuahua", "large": "cheetah" }, "1181": { "input": "chihuahua, turtle", "output": "turtle", "small": "chihuahua", "large": "turtle" }, "1182": { "input": "chihuahua, orangutan", "output": "orangutan", "small": "chihuahua", "large": "orangutan" }, "1183": { "input": "chihuahua, wild boar", "output": "wild boar", "small": "chihuahua", "large": "wild boar" }, "1184": { "input": "chihuahua, bull shark", "output": "bull shark", "small": "chihuahua", "large": "bull shark" }, "1185": { "input": "llama, chihuahua", "output": "llama", "small": "chihuahua", "large": "llama" }, "1186": { "input": "chihuahua, bear", "output": "bear", "small": "chihuahua", "large": "bear" }, "1187": { "input": "chihuahua, pony", "output": "pony", "small": "chihuahua", "large": "pony" }, "1188": { "input": "tiger, chihuahua", "output": "tiger", "small": "chihuahua", "large": "tiger" }, "1189": { "input": "chihuahua, sea lion", "output": "sea lion", "small": "chihuahua", "large": "sea lion" }, "1190": { "input": "chihuahua, jaguar", "output": "jaguar", "small": "chihuahua", "large": "jaguar" }, "1191": { "input": "chihuahua, lion", "output": "lion", "small": "chihuahua", "large": "lion" }, "1192": { "input": "wildebeest, chihuahua", "output": "wildebeest", "small": "chihuahua", "large": "wildebeest" }, "1193": { "input": "tuna, chihuahua", "output": "tuna", "small": "chihuahua", "large": "tuna" }, "1194": { "input": "gorilla, chihuahua", "output": "gorilla", "small": "chihuahua", "large": "gorilla" }, "1195": { "input": "mule, chihuahua", "output": "mule", "small": "chihuahua", "large": "mule" }, "1196": { "input": "chihuahua, manatee", "output": "manatee", "small": "chihuahua", "large": "manatee" }, "1197": { "input": "chihuahua, sturgeon", "output": "sturgeon", "small": "chihuahua", "large": "sturgeon" }, "1198": { "input": "camel, chihuahua", "output": "camel", "small": "chihuahua", "large": "camel" }, "1199": { "input": "elk, chihuahua", "output": "elk", "small": "chihuahua", "large": "elk" }, "1200": { "input": "chihuahua, horse", "output": "horse", "small": "chihuahua", "large": "horse" }, "1201": { "input": "cattle, chihuahua", "output": "cattle", "small": "chihuahua", "large": "cattle" }, "1202": { "input": "shark, chihuahua", "output": "shark", "small": "chihuahua", "large": "shark" }, "1203": { "input": "elephant, chihuahua", "output": "elephant", "small": "chihuahua", "large": "elephant" }, "1204": { "input": "giraffe, chihuahua", "output": "giraffe", "small": "chihuahua", "large": "giraffe" }, "1205": { "input": "chihuahua, moose", "output": "moose", "small": "chihuahua", "large": "moose" }, "1206": { "input": "crocodile, chihuahua", "output": "crocodile", "small": "chihuahua", "large": "crocodile" }, "1207": { "input": "chihuahua, liger", "output": "liger", "small": "chihuahua", "large": "liger" }, "1208": { "input": "chihuahua, grizzly bear", "output": "grizzly bear", "small": "chihuahua", "large": "grizzly bear" }, "1209": { "input": "hippopotamus, chihuahua", "output": "hippopotamus", "small": "chihuahua", "large": "hippopotamus" }, "1210": { "input": "chihuahua, whale shark", "output": "whale shark", "small": "chihuahua", "large": "whale shark" }, "1211": { "input": "chihuahua, killer whale", "output": "killer whale", "small": "chihuahua", "large": "killer whale" }, "1212": { "input": "chihuahua, great white shark", "output": "great white shark", "small": "chihuahua", "large": "great white shark" }, "1213": { "input": "chihuahua, sperm whale", "output": "sperm whale", "small": "chihuahua", "large": "sperm whale" }, "1214": { "input": "polar bear, chihuahua", "output": "polar bear", "small": "chihuahua", "large": "polar bear" }, "1215": { "input": "chihuahua, elephant", "output": "elephant", "small": "chihuahua", "large": "elephant" }, "1216": { "input": "rabbit, toy poodle", "output": "rabbit", "small": "toy poodle", "large": "rabbit" }, "1217": { "input": "toy poodle, lobster", "output": "lobster", "small": "toy poodle", "large": "lobster" }, "1218": { "input": "parrot, toy poodle", "output": "parrot", "small": "toy poodle", "large": "parrot" }, "1219": { "input": "toy poodle, cat", "output": "cat", "small": "toy poodle", "large": "cat" }, "1220": { "input": "largemouth bass, toy poodle", "output": "largemouth bass", "small": "toy poodle", "large": "largemouth bass" }, "1221": { "input": "pelican, toy poodle", "output": "pelican", "small": "toy poodle", "large": "pelican" }, "1222": { "input": "koala, toy poodle", "output": "koala", "small": "toy poodle", "large": "koala" }, "1223": { "input": "toy poodle, poodle", "output": "poodle", "small": "toy poodle", "large": "poodle" }, "1224": { "input": "toy poodle, bald eagle", "output": "bald eagle", "small": "toy poodle", "large": "bald eagle" }, "1225": { "input": "toy poodle, dachshund", "output": "dachshund", "small": "toy poodle", "large": "dachshund" }, "1226": { "input": "toy poodle, beagle", "output": "beagle", "small": "toy poodle", "large": "beagle" }, "1227": { "input": "toy poodle, koi", "output": "koi", "small": "toy poodle", "large": "koi" }, "1228": { "input": "toy poodle, cockapoo", "output": "cockapoo", "small": "toy poodle", "large": "cockapoo" }, "1229": { "input": "toy poodle, puppy", "output": "puppy", "small": "toy poodle", "large": "puppy" }, "1230": { "input": "raccoon, toy poodle", "output": "raccoon", "small": "toy poodle", "large": "raccoon" }, "1231": { "input": "toy poodle, common carp", "output": "common carp", "small": "toy poodle", "large": "common carp" }, "1232": { "input": "toy poodle, pug", "output": "pug", "small": "toy poodle", "large": "pug" }, "1233": { "input": "rat terrier, toy poodle", "output": "rat terrier", "small": "toy poodle", "large": "rat terrier" }, "1234": { "input": "racoon, toy poodle", "output": "racoon", "small": "toy poodle", "large": "racoon" }, "1235": { "input": "sheltie, toy poodle", "output": "sheltie", "small": "toy poodle", "large": "sheltie" }, "1236": { "input": "labradoodle, toy poodle", "output": "labradoodle", "small": "toy poodle", "large": "labradoodle" }, "1237": { "input": "goldendoodle, toy poodle", "output": "goldendoodle", "small": "toy poodle", "large": "goldendoodle" }, "1238": { "input": "collie, toy poodle", "output": "collie", "small": "toy poodle", "large": "collie" }, "1239": { "input": "coyote, toy poodle", "output": "coyote", "small": "toy poodle", "large": "coyote" }, "1240": { "input": "dog, toy poodle", "output": "dog", "small": "toy poodle", "large": "dog" }, "1241": { "input": "toy poodle, chamois", "output": "chamois", "small": "toy poodle", "large": "chamois" }, "1242": { "input": "toy poodle, chinook", "output": "chinook", "small": "toy poodle", "large": "chinook" }, "1243": { "input": "human, toy poodle", "output": "human", "small": "toy poodle", "large": "human" }, "1244": { "input": "octopus, toy poodle", "output": "octopus", "small": "toy poodle", "large": "octopus" }, "1245": { "input": "alpaca, toy poodle", "output": "alpaca", "small": "toy poodle", "large": "alpaca" }, "1246": { "input": "toy poodle, donkey", "output": "donkey", "small": "toy poodle", "large": "donkey" }, "1247": { "input": "pit bull, toy poodle", "output": "pit bull", "small": "toy poodle", "large": "pit bull" }, "1248": { "input": "bulldog, toy poodle", "output": "bulldog", "small": "toy poodle", "large": "bulldog" }, "1249": { "input": "toy poodle, goat", "output": "goat", "small": "toy poodle", "large": "goat" }, "1250": { "input": "toy poodle, greyhound", "output": "greyhound", "small": "toy poodle", "large": "greyhound" }, "1251": { "input": "wombat, toy poodle", "output": "wombat", "small": "toy poodle", "large": "wombat" }, "1252": { "input": "golden retriever, toy poodle", "output": "golden retriever", "small": "toy poodle", "large": "golden retriever" }, "1253": { "input": "toy poodle, leopard", "output": "leopard", "small": "toy poodle", "large": "leopard" }, "1254": { "input": "capybara, toy poodle", "output": "capybara", "small": "toy poodle", "large": "capybara" }, "1255": { "input": "boxer, toy poodle", "output": "boxer", "small": "toy poodle", "large": "boxer" }, "1256": { "input": "chimpanzee, toy poodle", "output": "chimpanzee", "small": "toy poodle", "large": "chimpanzee" }, "1257": { "input": "toy poodle, cougar", "output": "cougar", "small": "toy poodle", "large": "cougar" }, "1258": { "input": "toy poodle, tortoise", "output": "tortoise", "small": "toy poodle", "large": "tortoise" }, "1259": { "input": "deer, toy poodle", "output": "deer", "small": "toy poodle", "large": "deer" }, "1260": { "input": "toy poodle, wolf", "output": "wolf", "small": "toy poodle", "large": "wolf" }, "1261": { "input": "toy poodle, cheetah", "output": "cheetah", "small": "toy poodle", "large": "cheetah" }, "1262": { "input": "turtle, toy poodle", "output": "turtle", "small": "toy poodle", "large": "turtle" }, "1263": { "input": "orangutan, toy poodle", "output": "orangutan", "small": "toy poodle", "large": "orangutan" }, "1264": { "input": "toy poodle, wild boar", "output": "wild boar", "small": "toy poodle", "large": "wild boar" }, "1265": { "input": "toy poodle, bull shark", "output": "bull shark", "small": "toy poodle", "large": "bull shark" }, "1266": { "input": "llama, toy poodle", "output": "llama", "small": "toy poodle", "large": "llama" }, "1267": { "input": "bear, toy poodle", "output": "bear", "small": "toy poodle", "large": "bear" }, "1268": { "input": "toy poodle, pony", "output": "pony", "small": "toy poodle", "large": "pony" }, "1269": { "input": "toy poodle, tiger", "output": "tiger", "small": "toy poodle", "large": "tiger" }, "1270": { "input": "toy poodle, sea lion", "output": "sea lion", "small": "toy poodle", "large": "sea lion" }, "1271": { "input": "toy poodle, jaguar", "output": "jaguar", "small": "toy poodle", "large": "jaguar" }, "1272": { "input": "lion, toy poodle", "output": "lion", "small": "toy poodle", "large": "lion" }, "1273": { "input": "wildebeest, toy poodle", "output": "wildebeest", "small": "toy poodle", "large": "wildebeest" }, "1274": { "input": "tuna, toy poodle", "output": "tuna", "small": "toy poodle", "large": "tuna" }, "1275": { "input": "toy poodle, gorilla", "output": "gorilla", "small": "toy poodle", "large": "gorilla" }, "1276": { "input": "mule, toy poodle", "output": "mule", "small": "toy poodle", "large": "mule" }, "1277": { "input": "manatee, toy poodle", "output": "manatee", "small": "toy poodle", "large": "manatee" }, "1278": { "input": "toy poodle, sturgeon", "output": "sturgeon", "small": "toy poodle", "large": "sturgeon" }, "1279": { "input": "camel, toy poodle", "output": "camel", "small": "toy poodle", "large": "camel" }, "1280": { "input": "toy poodle, elk", "output": "elk", "small": "toy poodle", "large": "elk" }, "1281": { "input": "toy poodle, horse", "output": "horse", "small": "toy poodle", "large": "horse" }, "1282": { "input": "toy poodle, cattle", "output": "cattle", "small": "toy poodle", "large": "cattle" }, "1283": { "input": "shark, toy poodle", "output": "shark", "small": "toy poodle", "large": "shark" }, "1284": { "input": "elephant, toy poodle", "output": "elephant", "small": "toy poodle", "large": "elephant" }, "1285": { "input": "toy poodle, giraffe", "output": "giraffe", "small": "toy poodle", "large": "giraffe" }, "1286": { "input": "moose, toy poodle", "output": "moose", "small": "toy poodle", "large": "moose" }, "1287": { "input": "toy poodle, crocodile", "output": "crocodile", "small": "toy poodle", "large": "crocodile" }, "1288": { "input": "liger, toy poodle", "output": "liger", "small": "toy poodle", "large": "liger" }, "1289": { "input": "toy poodle, grizzly bear", "output": "grizzly bear", "small": "toy poodle", "large": "grizzly bear" }, "1290": { "input": "hippopotamus, toy poodle", "output": "hippopotamus", "small": "toy poodle", "large": "hippopotamus" }, "1291": { "input": "toy poodle, whale shark", "output": "whale shark", "small": "toy poodle", "large": "whale shark" }, "1292": { "input": "toy poodle, killer whale", "output": "killer whale", "small": "toy poodle", "large": "killer whale" }, "1293": { "input": "great white shark, toy poodle", "output": "great white shark", "small": "toy poodle", "large": "great white shark" }, "1294": { "input": "toy poodle, sperm whale", "output": "sperm whale", "small": "toy poodle", "large": "sperm whale" }, "1295": { "input": "toy poodle, polar bear", "output": "polar bear", "small": "toy poodle", "large": "polar bear" }, "1296": { "input": "elephant, toy poodle", "output": "elephant", "small": "toy poodle", "large": "elephant" }, "1297": { "input": "rabbit, chipmunk", "output": "rabbit", "small": "chipmunk", "large": "rabbit" }, "1298": { "input": "chipmunk, lobster", "output": "lobster", "small": "chipmunk", "large": "lobster" }, "1299": { "input": "parrot, chipmunk", "output": "parrot", "small": "chipmunk", "large": "parrot" }, "1300": { "input": "cat, chipmunk", "output": "cat", "small": "chipmunk", "large": "cat" }, "1301": { "input": "chipmunk, largemouth bass", "output": "largemouth bass", "small": "chipmunk", "large": "largemouth bass" }, "1302": { "input": "chipmunk, pelican", "output": "pelican", "small": "chipmunk", "large": "pelican" }, "1303": { "input": "chipmunk, koala", "output": "koala", "small": "chipmunk", "large": "koala" }, "1304": { "input": "poodle, chipmunk", "output": "poodle", "small": "chipmunk", "large": "poodle" }, "1305": { "input": "bald eagle, chipmunk", "output": "bald eagle", "small": "chipmunk", "large": "bald eagle" }, "1306": { "input": "chipmunk, dachshund", "output": "dachshund", "small": "chipmunk", "large": "dachshund" }, "1307": { "input": "chipmunk, beagle", "output": "beagle", "small": "chipmunk", "large": "beagle" }, "1308": { "input": "koi, chipmunk", "output": "koi", "small": "chipmunk", "large": "koi" }, "1309": { "input": "chipmunk, cockapoo", "output": "cockapoo", "small": "chipmunk", "large": "cockapoo" }, "1310": { "input": "puppy, chipmunk", "output": "puppy", "small": "chipmunk", "large": "puppy" }, "1311": { "input": "raccoon, chipmunk", "output": "raccoon", "small": "chipmunk", "large": "raccoon" }, "1312": { "input": "common carp, chipmunk", "output": "common carp", "small": "chipmunk", "large": "common carp" }, "1313": { "input": "pug, chipmunk", "output": "pug", "small": "chipmunk", "large": "pug" }, "1314": { "input": "chipmunk, rat terrier", "output": "rat terrier", "small": "chipmunk", "large": "rat terrier" }, "1315": { "input": "chipmunk, racoon", "output": "racoon", "small": "chipmunk", "large": "racoon" }, "1316": { "input": "chipmunk, sheltie", "output": "sheltie", "small": "chipmunk", "large": "sheltie" }, "1317": { "input": "chipmunk, labradoodle", "output": "labradoodle", "small": "chipmunk", "large": "labradoodle" }, "1318": { "input": "chipmunk, goldendoodle", "output": "goldendoodle", "small": "chipmunk", "large": "goldendoodle" }, "1319": { "input": "chipmunk, collie", "output": "collie", "small": "chipmunk", "large": "collie" }, "1320": { "input": "chipmunk, coyote", "output": "coyote", "small": "chipmunk", "large": "coyote" }, "1321": { "input": "chipmunk, dog", "output": "dog", "small": "chipmunk", "large": "dog" }, "1322": { "input": "chamois, chipmunk", "output": "chamois", "small": "chipmunk", "large": "chamois" }, "1323": { "input": "chinook, chipmunk", "output": "chinook", "small": "chipmunk", "large": "chinook" }, "1324": { "input": "human, chipmunk", "output": "human", "small": "chipmunk", "large": "human" }, "1325": { "input": "chipmunk, octopus", "output": "octopus", "small": "chipmunk", "large": "octopus" }, "1326": { "input": "alpaca, chipmunk", "output": "alpaca", "small": "chipmunk", "large": "alpaca" }, "1327": { "input": "chipmunk, donkey", "output": "donkey", "small": "chipmunk", "large": "donkey" }, "1328": { "input": "chipmunk, pit bull", "output": "pit bull", "small": "chipmunk", "large": "pit bull" }, "1329": { "input": "chipmunk, bulldog", "output": "bulldog", "small": "chipmunk", "large": "bulldog" }, "1330": { "input": "goat, chipmunk", "output": "goat", "small": "chipmunk", "large": "goat" }, "1331": { "input": "chipmunk, greyhound", "output": "greyhound", "small": "chipmunk", "large": "greyhound" }, "1332": { "input": "wombat, chipmunk", "output": "wombat", "small": "chipmunk", "large": "wombat" }, "1333": { "input": "golden retriever, chipmunk", "output": "golden retriever", "small": "chipmunk", "large": "golden retriever" }, "1334": { "input": "chipmunk, leopard", "output": "leopard", "small": "chipmunk", "large": "leopard" }, "1335": { "input": "chipmunk, capybara", "output": "capybara", "small": "chipmunk", "large": "capybara" }, "1336": { "input": "boxer, chipmunk", "output": "boxer", "small": "chipmunk", "large": "boxer" }, "1337": { "input": "chimpanzee, chipmunk", "output": "chimpanzee", "small": "chipmunk", "large": "chimpanzee" }, "1338": { "input": "chipmunk, cougar", "output": "cougar", "small": "chipmunk", "large": "cougar" }, "1339": { "input": "chipmunk, tortoise", "output": "tortoise", "small": "chipmunk", "large": "tortoise" }, "1340": { "input": "deer, chipmunk", "output": "deer", "small": "chipmunk", "large": "deer" }, "1341": { "input": "chipmunk, wolf", "output": "wolf", "small": "chipmunk", "large": "wolf" }, "1342": { "input": "chipmunk, cheetah", "output": "cheetah", "small": "chipmunk", "large": "cheetah" }, "1343": { "input": "turtle, chipmunk", "output": "turtle", "small": "chipmunk", "large": "turtle" }, "1344": { "input": "chipmunk, orangutan", "output": "orangutan", "small": "chipmunk", "large": "orangutan" }, "1345": { "input": "chipmunk, wild boar", "output": "wild boar", "small": "chipmunk", "large": "wild boar" }, "1346": { "input": "bull shark, chipmunk", "output": "bull shark", "small": "chipmunk", "large": "bull shark" }, "1347": { "input": "llama, chipmunk", "output": "llama", "small": "chipmunk", "large": "llama" }, "1348": { "input": "bear, chipmunk", "output": "bear", "small": "chipmunk", "large": "bear" }, "1349": { "input": "pony, chipmunk", "output": "pony", "small": "chipmunk", "large": "pony" }, "1350": { "input": "tiger, chipmunk", "output": "tiger", "small": "chipmunk", "large": "tiger" }, "1351": { "input": "sea lion, chipmunk", "output": "sea lion", "small": "chipmunk", "large": "sea lion" }, "1352": { "input": "chipmunk, jaguar", "output": "jaguar", "small": "chipmunk", "large": "jaguar" }, "1353": { "input": "chipmunk, lion", "output": "lion", "small": "chipmunk", "large": "lion" }, "1354": { "input": "chipmunk, wildebeest", "output": "wildebeest", "small": "chipmunk", "large": "wildebeest" }, "1355": { "input": "tuna, chipmunk", "output": "tuna", "small": "chipmunk", "large": "tuna" }, "1356": { "input": "chipmunk, gorilla", "output": "gorilla", "small": "chipmunk", "large": "gorilla" }, "1357": { "input": "chipmunk, mule", "output": "mule", "small": "chipmunk", "large": "mule" }, "1358": { "input": "chipmunk, manatee", "output": "manatee", "small": "chipmunk", "large": "manatee" }, "1359": { "input": "chipmunk, sturgeon", "output": "sturgeon", "small": "chipmunk", "large": "sturgeon" }, "1360": { "input": "chipmunk, camel", "output": "camel", "small": "chipmunk", "large": "camel" }, "1361": { "input": "chipmunk, elk", "output": "elk", "small": "chipmunk", "large": "elk" }, "1362": { "input": "chipmunk, horse", "output": "horse", "small": "chipmunk", "large": "horse" }, "1363": { "input": "cattle, chipmunk", "output": "cattle", "small": "chipmunk", "large": "cattle" }, "1364": { "input": "chipmunk, shark", "output": "shark", "small": "chipmunk", "large": "shark" }, "1365": { "input": "chipmunk, elephant", "output": "elephant", "small": "chipmunk", "large": "elephant" }, "1366": { "input": "chipmunk, giraffe", "output": "giraffe", "small": "chipmunk", "large": "giraffe" }, "1367": { "input": "chipmunk, moose", "output": "moose", "small": "chipmunk", "large": "moose" }, "1368": { "input": "crocodile, chipmunk", "output": "crocodile", "small": "chipmunk", "large": "crocodile" }, "1369": { "input": "chipmunk, liger", "output": "liger", "small": "chipmunk", "large": "liger" }, "1370": { "input": "grizzly bear, chipmunk", "output": "grizzly bear", "small": "chipmunk", "large": "grizzly bear" }, "1371": { "input": "chipmunk, hippopotamus", "output": "hippopotamus", "small": "chipmunk", "large": "hippopotamus" }, "1372": { "input": "whale shark, chipmunk", "output": "whale shark", "small": "chipmunk", "large": "whale shark" }, "1373": { "input": "killer whale, chipmunk", "output": "killer whale", "small": "chipmunk", "large": "killer whale" }, "1374": { "input": "great white shark, chipmunk", "output": "great white shark", "small": "chipmunk", "large": "great white shark" }, "1375": { "input": "chipmunk, sperm whale", "output": "sperm whale", "small": "chipmunk", "large": "sperm whale" }, "1376": { "input": "chipmunk, polar bear", "output": "polar bear", "small": "chipmunk", "large": "polar bear" }, "1377": { "input": "chipmunk, elephant", "output": "elephant", "small": "chipmunk", "large": "elephant" }, "1378": { "input": "rat, rabbit", "output": "rabbit", "small": "rat", "large": "rabbit" }, "1379": { "input": "rat, lobster", "output": "lobster", "small": "rat", "large": "lobster" }, "1380": { "input": "parrot, rat", "output": "parrot", "small": "rat", "large": "parrot" }, "1381": { "input": "cat, rat", "output": "cat", "small": "rat", "large": "cat" }, "1382": { "input": "largemouth bass, rat", "output": "largemouth bass", "small": "rat", "large": "largemouth bass" }, "1383": { "input": "pelican, rat", "output": "pelican", "small": "rat", "large": "pelican" }, "1384": { "input": "rat, koala", "output": "koala", "small": "rat", "large": "koala" }, "1385": { "input": "poodle, rat", "output": "poodle", "small": "rat", "large": "poodle" }, "1386": { "input": "bald eagle, rat", "output": "bald eagle", "small": "rat", "large": "bald eagle" }, "1387": { "input": "dachshund, rat", "output": "dachshund", "small": "rat", "large": "dachshund" }, "1388": { "input": "beagle, rat", "output": "beagle", "small": "rat", "large": "beagle" }, "1389": { "input": "rat, koi", "output": "koi", "small": "rat", "large": "koi" }, "1390": { "input": "cockapoo, rat", "output": "cockapoo", "small": "rat", "large": "cockapoo" }, "1391": { "input": "puppy, rat", "output": "puppy", "small": "rat", "large": "puppy" }, "1392": { "input": "raccoon, rat", "output": "raccoon", "small": "rat", "large": "raccoon" }, "1393": { "input": "common carp, rat", "output": "common carp", "small": "rat", "large": "common carp" }, "1394": { "input": "pug, rat", "output": "pug", "small": "rat", "large": "pug" }, "1395": { "input": "rat terrier, rat", "output": "rat terrier", "small": "rat", "large": "rat terrier" }, "1396": { "input": "rat, racoon", "output": "racoon", "small": "rat", "large": "racoon" }, "1397": { "input": "sheltie, rat", "output": "sheltie", "small": "rat", "large": "sheltie" }, "1398": { "input": "rat, labradoodle", "output": "labradoodle", "small": "rat", "large": "labradoodle" }, "1399": { "input": "rat, goldendoodle", "output": "goldendoodle", "small": "rat", "large": "goldendoodle" }, "1400": { "input": "rat, collie", "output": "collie", "small": "rat", "large": "collie" }, "1401": { "input": "rat, coyote", "output": "coyote", "small": "rat", "large": "coyote" }, "1402": { "input": "dog, rat", "output": "dog", "small": "rat", "large": "dog" }, "1403": { "input": "rat, chamois", "output": "chamois", "small": "rat", "large": "chamois" }, "1404": { "input": "rat, chinook", "output": "chinook", "small": "rat", "large": "chinook" }, "1405": { "input": "human, rat", "output": "human", "small": "rat", "large": "human" }, "1406": { "input": "octopus, rat", "output": "octopus", "small": "rat", "large": "octopus" }, "1407": { "input": "rat, alpaca", "output": "alpaca", "small": "rat", "large": "alpaca" }, "1408": { "input": "donkey, rat", "output": "donkey", "small": "rat", "large": "donkey" }, "1409": { "input": "pit bull, rat", "output": "pit bull", "small": "rat", "large": "pit bull" }, "1410": { "input": "bulldog, rat", "output": "bulldog", "small": "rat", "large": "bulldog" }, "1411": { "input": "rat, goat", "output": "goat", "small": "rat", "large": "goat" }, "1412": { "input": "rat, greyhound", "output": "greyhound", "small": "rat", "large": "greyhound" }, "1413": { "input": "wombat, rat", "output": "wombat", "small": "rat", "large": "wombat" }, "1414": { "input": "rat, golden retriever", "output": "golden retriever", "small": "rat", "large": "golden retriever" }, "1415": { "input": "leopard, rat", "output": "leopard", "small": "rat", "large": "leopard" }, "1416": { "input": "capybara, rat", "output": "capybara", "small": "rat", "large": "capybara" }, "1417": { "input": "boxer, rat", "output": "boxer", "small": "rat", "large": "boxer" }, "1418": { "input": "chimpanzee, rat", "output": "chimpanzee", "small": "rat", "large": "chimpanzee" }, "1419": { "input": "rat, cougar", "output": "cougar", "small": "rat", "large": "cougar" }, "1420": { "input": "tortoise, rat", "output": "tortoise", "small": "rat", "large": "tortoise" }, "1421": { "input": "deer, rat", "output": "deer", "small": "rat", "large": "deer" }, "1422": { "input": "wolf, rat", "output": "wolf", "small": "rat", "large": "wolf" }, "1423": { "input": "rat, cheetah", "output": "cheetah", "small": "rat", "large": "cheetah" }, "1424": { "input": "turtle, rat", "output": "turtle", "small": "rat", "large": "turtle" }, "1425": { "input": "orangutan, rat", "output": "orangutan", "small": "rat", "large": "orangutan" }, "1426": { "input": "rat, wild boar", "output": "wild boar", "small": "rat", "large": "wild boar" }, "1427": { "input": "rat, bull shark", "output": "bull shark", "small": "rat", "large": "bull shark" }, "1428": { "input": "rat, llama", "output": "llama", "small": "rat", "large": "llama" }, "1429": { "input": "bear, rat", "output": "bear", "small": "rat", "large": "bear" }, "1430": { "input": "rat, pony", "output": "pony", "small": "rat", "large": "pony" }, "1431": { "input": "tiger, rat", "output": "tiger", "small": "rat", "large": "tiger" }, "1432": { "input": "sea lion, rat", "output": "sea lion", "small": "rat", "large": "sea lion" }, "1433": { "input": "jaguar, rat", "output": "jaguar", "small": "rat", "large": "jaguar" }, "1434": { "input": "rat, lion", "output": "lion", "small": "rat", "large": "lion" }, "1435": { "input": "rat, wildebeest", "output": "wildebeest", "small": "rat", "large": "wildebeest" }, "1436": { "input": "rat, tuna", "output": "tuna", "small": "rat", "large": "tuna" }, "1437": { "input": "rat, gorilla", "output": "gorilla", "small": "rat", "large": "gorilla" }, "1438": { "input": "mule, rat", "output": "mule", "small": "rat", "large": "mule" }, "1439": { "input": "manatee, rat", "output": "manatee", "small": "rat", "large": "manatee" }, "1440": { "input": "sturgeon, rat", "output": "sturgeon", "small": "rat", "large": "sturgeon" }, "1441": { "input": "camel, rat", "output": "camel", "small": "rat", "large": "camel" }, "1442": { "input": "elk, rat", "output": "elk", "small": "rat", "large": "elk" }, "1443": { "input": "rat, horse", "output": "horse", "small": "rat", "large": "horse" }, "1444": { "input": "cattle, rat", "output": "cattle", "small": "rat", "large": "cattle" }, "1445": { "input": "shark, rat", "output": "shark", "small": "rat", "large": "shark" }, "1446": { "input": "rat, elephant", "output": "elephant", "small": "rat", "large": "elephant" }, "1447": { "input": "rat, giraffe", "output": "giraffe", "small": "rat", "large": "giraffe" }, "1448": { "input": "moose, rat", "output": "moose", "small": "rat", "large": "moose" }, "1449": { "input": "crocodile, rat", "output": "crocodile", "small": "rat", "large": "crocodile" }, "1450": { "input": "liger, rat", "output": "liger", "small": "rat", "large": "liger" }, "1451": { "input": "rat, grizzly bear", "output": "grizzly bear", "small": "rat", "large": "grizzly bear" }, "1452": { "input": "rat, hippopotamus", "output": "hippopotamus", "small": "rat", "large": "hippopotamus" }, "1453": { "input": "whale shark, rat", "output": "whale shark", "small": "rat", "large": "whale shark" }, "1454": { "input": "killer whale, rat", "output": "killer whale", "small": "rat", "large": "killer whale" }, "1455": { "input": "rat, great white shark", "output": "great white shark", "small": "rat", "large": "great white shark" }, "1456": { "input": "sperm whale, rat", "output": "sperm whale", "small": "rat", "large": "sperm whale" }, "1457": { "input": "rat, polar bear", "output": "polar bear", "small": "rat", "large": "polar bear" }, "1458": { "input": "rat, elephant", "output": "elephant", "small": "rat", "large": "elephant" }, "1459": { "input": "chamois, rabbit", "output": "chamois", "small": "rabbit", "large": "chamois" }, "1460": { "input": "chinook, rabbit", "output": "chinook", "small": "rabbit", "large": "chinook" }, "1461": { "input": "rabbit, human", "output": "human", "small": "rabbit", "large": "human" }, "1462": { "input": "rabbit, octopus", "output": "octopus", "small": "rabbit", "large": "octopus" }, "1463": { "input": "alpaca, rabbit", "output": "alpaca", "small": "rabbit", "large": "alpaca" }, "1464": { "input": "rabbit, donkey", "output": "donkey", "small": "rabbit", "large": "donkey" }, "1465": { "input": "rabbit, pit bull", "output": "pit bull", "small": "rabbit", "large": "pit bull" }, "1466": { "input": "rabbit, bulldog", "output": "bulldog", "small": "rabbit", "large": "bulldog" }, "1467": { "input": "goat, rabbit", "output": "goat", "small": "rabbit", "large": "goat" }, "1468": { "input": "rabbit, greyhound", "output": "greyhound", "small": "rabbit", "large": "greyhound" }, "1469": { "input": "wombat, rabbit", "output": "wombat", "small": "rabbit", "large": "wombat" }, "1470": { "input": "rabbit, golden retriever", "output": "golden retriever", "small": "rabbit", "large": "golden retriever" }, "1471": { "input": "rabbit, leopard", "output": "leopard", "small": "rabbit", "large": "leopard" }, "1472": { "input": "rabbit, capybara", "output": "capybara", "small": "rabbit", "large": "capybara" }, "1473": { "input": "rabbit, boxer", "output": "boxer", "small": "rabbit", "large": "boxer" }, "1474": { "input": "chimpanzee, rabbit", "output": "chimpanzee", "small": "rabbit", "large": "chimpanzee" }, "1475": { "input": "rabbit, cougar", "output": "cougar", "small": "rabbit", "large": "cougar" }, "1476": { "input": "tortoise, rabbit", "output": "tortoise", "small": "rabbit", "large": "tortoise" }, "1477": { "input": "deer, rabbit", "output": "deer", "small": "rabbit", "large": "deer" }, "1478": { "input": "rabbit, wolf", "output": "wolf", "small": "rabbit", "large": "wolf" }, "1479": { "input": "rabbit, cheetah", "output": "cheetah", "small": "rabbit", "large": "cheetah" }, "1480": { "input": "rabbit, turtle", "output": "turtle", "small": "rabbit", "large": "turtle" }, "1481": { "input": "rabbit, orangutan", "output": "orangutan", "small": "rabbit", "large": "orangutan" }, "1482": { "input": "wild boar, rabbit", "output": "wild boar", "small": "rabbit", "large": "wild boar" }, "1483": { "input": "rabbit, bull shark", "output": "bull shark", "small": "rabbit", "large": "bull shark" }, "1484": { "input": "llama, rabbit", "output": "llama", "small": "rabbit", "large": "llama" }, "1485": { "input": "bear, rabbit", "output": "bear", "small": "rabbit", "large": "bear" }, "1486": { "input": "pony, rabbit", "output": "pony", "small": "rabbit", "large": "pony" }, "1487": { "input": "rabbit, tiger", "output": "tiger", "small": "rabbit", "large": "tiger" }, "1488": { "input": "rabbit, sea lion", "output": "sea lion", "small": "rabbit", "large": "sea lion" }, "1489": { "input": "rabbit, jaguar", "output": "jaguar", "small": "rabbit", "large": "jaguar" }, "1490": { "input": "rabbit, lion", "output": "lion", "small": "rabbit", "large": "lion" }, "1491": { "input": "rabbit, wildebeest", "output": "wildebeest", "small": "rabbit", "large": "wildebeest" }, "1492": { "input": "tuna, rabbit", "output": "tuna", "small": "rabbit", "large": "tuna" }, "1493": { "input": "gorilla, rabbit", "output": "gorilla", "small": "rabbit", "large": "gorilla" }, "1494": { "input": "rabbit, mule", "output": "mule", "small": "rabbit", "large": "mule" }, "1495": { "input": "rabbit, manatee", "output": "manatee", "small": "rabbit", "large": "manatee" }, "1496": { "input": "rabbit, sturgeon", "output": "sturgeon", "small": "rabbit", "large": "sturgeon" }, "1497": { "input": "rabbit, camel", "output": "camel", "small": "rabbit", "large": "camel" }, "1498": { "input": "elk, rabbit", "output": "elk", "small": "rabbit", "large": "elk" }, "1499": { "input": "horse, rabbit", "output": "horse", "small": "rabbit", "large": "horse" }, "1500": { "input": "rabbit, cattle", "output": "cattle", "small": "rabbit", "large": "cattle" }, "1501": { "input": "shark, rabbit", "output": "shark", "small": "rabbit", "large": "shark" }, "1502": { "input": "rabbit, elephant", "output": "elephant", "small": "rabbit", "large": "elephant" }, "1503": { "input": "rabbit, giraffe", "output": "giraffe", "small": "rabbit", "large": "giraffe" }, "1504": { "input": "rabbit, moose", "output": "moose", "small": "rabbit", "large": "moose" }, "1505": { "input": "rabbit, crocodile", "output": "crocodile", "small": "rabbit", "large": "crocodile" }, "1506": { "input": "rabbit, liger", "output": "liger", "small": "rabbit", "large": "liger" }, "1507": { "input": "grizzly bear, rabbit", "output": "grizzly bear", "small": "rabbit", "large": "grizzly bear" }, "1508": { "input": "hippopotamus, rabbit", "output": "hippopotamus", "small": "rabbit", "large": "hippopotamus" }, "1509": { "input": "whale shark, rabbit", "output": "whale shark", "small": "rabbit", "large": "whale shark" }, "1510": { "input": "rabbit, killer whale", "output": "killer whale", "small": "rabbit", "large": "killer whale" }, "1511": { "input": "great white shark, rabbit", "output": "great white shark", "small": "rabbit", "large": "great white shark" }, "1512": { "input": "sperm whale, rabbit", "output": "sperm whale", "small": "rabbit", "large": "sperm whale" }, "1513": { "input": "rabbit, polar bear", "output": "polar bear", "small": "rabbit", "large": "polar bear" }, "1514": { "input": "elephant, rabbit", "output": "elephant", "small": "rabbit", "large": "elephant" }, "1515": { "input": "chamois, lobster", "output": "chamois", "small": "lobster", "large": "chamois" }, "1516": { "input": "chinook, lobster", "output": "chinook", "small": "lobster", "large": "chinook" }, "1517": { "input": "lobster, human", "output": "human", "small": "lobster", "large": "human" }, "1518": { "input": "lobster, octopus", "output": "octopus", "small": "lobster", "large": "octopus" }, "1519": { "input": "lobster, alpaca", "output": "alpaca", "small": "lobster", "large": "alpaca" }, "1520": { "input": "donkey, lobster", "output": "donkey", "small": "lobster", "large": "donkey" }, "1521": { "input": "pit bull, lobster", "output": "pit bull", "small": "lobster", "large": "pit bull" }, "1522": { "input": "bulldog, lobster", "output": "bulldog", "small": "lobster", "large": "bulldog" }, "1523": { "input": "lobster, goat", "output": "goat", "small": "lobster", "large": "goat" }, "1524": { "input": "greyhound, lobster", "output": "greyhound", "small": "lobster", "large": "greyhound" }, "1525": { "input": "lobster, wombat", "output": "wombat", "small": "lobster", "large": "wombat" }, "1526": { "input": "golden retriever, lobster", "output": "golden retriever", "small": "lobster", "large": "golden retriever" }, "1527": { "input": "leopard, lobster", "output": "leopard", "small": "lobster", "large": "leopard" }, "1528": { "input": "lobster, capybara", "output": "capybara", "small": "lobster", "large": "capybara" }, "1529": { "input": "lobster, boxer", "output": "boxer", "small": "lobster", "large": "boxer" }, "1530": { "input": "chimpanzee, lobster", "output": "chimpanzee", "small": "lobster", "large": "chimpanzee" }, "1531": { "input": "cougar, lobster", "output": "cougar", "small": "lobster", "large": "cougar" }, "1532": { "input": "tortoise, lobster", "output": "tortoise", "small": "lobster", "large": "tortoise" }, "1533": { "input": "deer, lobster", "output": "deer", "small": "lobster", "large": "deer" }, "1534": { "input": "wolf, lobster", "output": "wolf", "small": "lobster", "large": "wolf" }, "1535": { "input": "lobster, cheetah", "output": "cheetah", "small": "lobster", "large": "cheetah" }, "1536": { "input": "lobster, turtle", "output": "turtle", "small": "lobster", "large": "turtle" }, "1537": { "input": "orangutan, lobster", "output": "orangutan", "small": "lobster", "large": "orangutan" }, "1538": { "input": "wild boar, lobster", "output": "wild boar", "small": "lobster", "large": "wild boar" }, "1539": { "input": "bull shark, lobster", "output": "bull shark", "small": "lobster", "large": "bull shark" }, "1540": { "input": "lobster, llama", "output": "llama", "small": "lobster", "large": "llama" }, "1541": { "input": "bear, lobster", "output": "bear", "small": "lobster", "large": "bear" }, "1542": { "input": "lobster, pony", "output": "pony", "small": "lobster", "large": "pony" }, "1543": { "input": "tiger, lobster", "output": "tiger", "small": "lobster", "large": "tiger" }, "1544": { "input": "lobster, sea lion", "output": "sea lion", "small": "lobster", "large": "sea lion" }, "1545": { "input": "lobster, jaguar", "output": "jaguar", "small": "lobster", "large": "jaguar" }, "1546": { "input": "lobster, lion", "output": "lion", "small": "lobster", "large": "lion" }, "1547": { "input": "lobster, wildebeest", "output": "wildebeest", "small": "lobster", "large": "wildebeest" }, "1548": { "input": "lobster, tuna", "output": "tuna", "small": "lobster", "large": "tuna" }, "1549": { "input": "gorilla, lobster", "output": "gorilla", "small": "lobster", "large": "gorilla" }, "1550": { "input": "lobster, mule", "output": "mule", "small": "lobster", "large": "mule" }, "1551": { "input": "manatee, lobster", "output": "manatee", "small": "lobster", "large": "manatee" }, "1552": { "input": "lobster, sturgeon", "output": "sturgeon", "small": "lobster", "large": "sturgeon" }, "1553": { "input": "lobster, camel", "output": "camel", "small": "lobster", "large": "camel" }, "1554": { "input": "elk, lobster", "output": "elk", "small": "lobster", "large": "elk" }, "1555": { "input": "lobster, horse", "output": "horse", "small": "lobster", "large": "horse" }, "1556": { "input": "lobster, cattle", "output": "cattle", "small": "lobster", "large": "cattle" }, "1557": { "input": "shark, lobster", "output": "shark", "small": "lobster", "large": "shark" }, "1558": { "input": "elephant, lobster", "output": "elephant", "small": "lobster", "large": "elephant" }, "1559": { "input": "lobster, giraffe", "output": "giraffe", "small": "lobster", "large": "giraffe" }, "1560": { "input": "lobster, moose", "output": "moose", "small": "lobster", "large": "moose" }, "1561": { "input": "crocodile, lobster", "output": "crocodile", "small": "lobster", "large": "crocodile" }, "1562": { "input": "lobster, liger", "output": "liger", "small": "lobster", "large": "liger" }, "1563": { "input": "grizzly bear, lobster", "output": "grizzly bear", "small": "lobster", "large": "grizzly bear" }, "1564": { "input": "hippopotamus, lobster", "output": "hippopotamus", "small": "lobster", "large": "hippopotamus" }, "1565": { "input": "whale shark, lobster", "output": "whale shark", "small": "lobster", "large": "whale shark" }, "1566": { "input": "killer whale, lobster", "output": "killer whale", "small": "lobster", "large": "killer whale" }, "1567": { "input": "lobster, great white shark", "output": "great white shark", "small": "lobster", "large": "great white shark" }, "1568": { "input": "sperm whale, lobster", "output": "sperm whale", "small": "lobster", "large": "sperm whale" }, "1569": { "input": "lobster, polar bear", "output": "polar bear", "small": "lobster", "large": "polar bear" }, "1570": { "input": "lobster, elephant", "output": "elephant", "small": "lobster", "large": "elephant" }, "1571": { "input": "chamois, parrot", "output": "chamois", "small": "parrot", "large": "chamois" }, "1572": { "input": "parrot, chinook", "output": "chinook", "small": "parrot", "large": "chinook" }, "1573": { "input": "human, parrot", "output": "human", "small": "parrot", "large": "human" }, "1574": { "input": "parrot, octopus", "output": "octopus", "small": "parrot", "large": "octopus" }, "1575": { "input": "alpaca, parrot", "output": "alpaca", "small": "parrot", "large": "alpaca" }, "1576": { "input": "parrot, donkey", "output": "donkey", "small": "parrot", "large": "donkey" }, "1577": { "input": "pit bull, parrot", "output": "pit bull", "small": "parrot", "large": "pit bull" }, "1578": { "input": "bulldog, parrot", "output": "bulldog", "small": "parrot", "large": "bulldog" }, "1579": { "input": "goat, parrot", "output": "goat", "small": "parrot", "large": "goat" }, "1580": { "input": "greyhound, parrot", "output": "greyhound", "small": "parrot", "large": "greyhound" }, "1581": { "input": "wombat, parrot", "output": "wombat", "small": "parrot", "large": "wombat" }, "1582": { "input": "golden retriever, parrot", "output": "golden retriever", "small": "parrot", "large": "golden retriever" }, "1583": { "input": "leopard, parrot", "output": "leopard", "small": "parrot", "large": "leopard" }, "1584": { "input": "capybara, parrot", "output": "capybara", "small": "parrot", "large": "capybara" }, "1585": { "input": "boxer, parrot", "output": "boxer", "small": "parrot", "large": "boxer" }, "1586": { "input": "chimpanzee, parrot", "output": "chimpanzee", "small": "parrot", "large": "chimpanzee" }, "1587": { "input": "parrot, cougar", "output": "cougar", "small": "parrot", "large": "cougar" }, "1588": { "input": "parrot, tortoise", "output": "tortoise", "small": "parrot", "large": "tortoise" }, "1589": { "input": "parrot, deer", "output": "deer", "small": "parrot", "large": "deer" }, "1590": { "input": "parrot, wolf", "output": "wolf", "small": "parrot", "large": "wolf" }, "1591": { "input": "parrot, cheetah", "output": "cheetah", "small": "parrot", "large": "cheetah" }, "1592": { "input": "turtle, parrot", "output": "turtle", "small": "parrot", "large": "turtle" }, "1593": { "input": "parrot, orangutan", "output": "orangutan", "small": "parrot", "large": "orangutan" }, "1594": { "input": "parrot, wild boar", "output": "wild boar", "small": "parrot", "large": "wild boar" }, "1595": { "input": "parrot, bull shark", "output": "bull shark", "small": "parrot", "large": "bull shark" }, "1596": { "input": "parrot, llama", "output": "llama", "small": "parrot", "large": "llama" }, "1597": { "input": "parrot, bear", "output": "bear", "small": "parrot", "large": "bear" }, "1598": { "input": "parrot, pony", "output": "pony", "small": "parrot", "large": "pony" }, "1599": { "input": "tiger, parrot", "output": "tiger", "small": "parrot", "large": "tiger" }, "1600": { "input": "parrot, sea lion", "output": "sea lion", "small": "parrot", "large": "sea lion" }, "1601": { "input": "parrot, jaguar", "output": "jaguar", "small": "parrot", "large": "jaguar" }, "1602": { "input": "lion, parrot", "output": "lion", "small": "parrot", "large": "lion" }, "1603": { "input": "parrot, wildebeest", "output": "wildebeest", "small": "parrot", "large": "wildebeest" }, "1604": { "input": "parrot, tuna", "output": "tuna", "small": "parrot", "large": "tuna" }, "1605": { "input": "parrot, gorilla", "output": "gorilla", "small": "parrot", "large": "gorilla" }, "1606": { "input": "mule, parrot", "output": "mule", "small": "parrot", "large": "mule" }, "1607": { "input": "manatee, parrot", "output": "manatee", "small": "parrot", "large": "manatee" }, "1608": { "input": "sturgeon, parrot", "output": "sturgeon", "small": "parrot", "large": "sturgeon" }, "1609": { "input": "camel, parrot", "output": "camel", "small": "parrot", "large": "camel" }, "1610": { "input": "elk, parrot", "output": "elk", "small": "parrot", "large": "elk" }, "1611": { "input": "horse, parrot", "output": "horse", "small": "parrot", "large": "horse" }, "1612": { "input": "parrot, cattle", "output": "cattle", "small": "parrot", "large": "cattle" }, "1613": { "input": "shark, parrot", "output": "shark", "small": "parrot", "large": "shark" }, "1614": { "input": "elephant, parrot", "output": "elephant", "small": "parrot", "large": "elephant" }, "1615": { "input": "giraffe, parrot", "output": "giraffe", "small": "parrot", "large": "giraffe" }, "1616": { "input": "parrot, moose", "output": "moose", "small": "parrot", "large": "moose" }, "1617": { "input": "crocodile, parrot", "output": "crocodile", "small": "parrot", "large": "crocodile" }, "1618": { "input": "parrot, liger", "output": "liger", "small": "parrot", "large": "liger" }, "1619": { "input": "grizzly bear, parrot", "output": "grizzly bear", "small": "parrot", "large": "grizzly bear" }, "1620": { "input": "hippopotamus, parrot", "output": "hippopotamus", "small": "parrot", "large": "hippopotamus" }, "1621": { "input": "parrot, whale shark", "output": "whale shark", "small": "parrot", "large": "whale shark" }, "1622": { "input": "parrot, killer whale", "output": "killer whale", "small": "parrot", "large": "killer whale" }, "1623": { "input": "great white shark, parrot", "output": "great white shark", "small": "parrot", "large": "great white shark" }, "1624": { "input": "parrot, sperm whale", "output": "sperm whale", "small": "parrot", "large": "sperm whale" }, "1625": { "input": "polar bear, parrot", "output": "polar bear", "small": "parrot", "large": "polar bear" }, "1626": { "input": "parrot, elephant", "output": "elephant", "small": "parrot", "large": "elephant" }, "1627": { "input": "cat, chamois", "output": "chamois", "small": "cat", "large": "chamois" }, "1628": { "input": "chinook, cat", "output": "chinook", "small": "cat", "large": "chinook" }, "1629": { "input": "cat, human", "output": "human", "small": "cat", "large": "human" }, "1630": { "input": "octopus, cat", "output": "octopus", "small": "cat", "large": "octopus" }, "1631": { "input": "cat, alpaca", "output": "alpaca", "small": "cat", "large": "alpaca" }, "1632": { "input": "cat, donkey", "output": "donkey", "small": "cat", "large": "donkey" }, "1633": { "input": "cat, pit bull", "output": "pit bull", "small": "cat", "large": "pit bull" }, "1634": { "input": "bulldog, cat", "output": "bulldog", "small": "cat", "large": "bulldog" }, "1635": { "input": "cat, goat", "output": "goat", "small": "cat", "large": "goat" }, "1636": { "input": "cat, greyhound", "output": "greyhound", "small": "cat", "large": "greyhound" }, "1637": { "input": "cat, wombat", "output": "wombat", "small": "cat", "large": "wombat" }, "1638": { "input": "golden retriever, cat", "output": "golden retriever", "small": "cat", "large": "golden retriever" }, "1639": { "input": "cat, leopard", "output": "leopard", "small": "cat", "large": "leopard" }, "1640": { "input": "cat, capybara", "output": "capybara", "small": "cat", "large": "capybara" }, "1641": { "input": "boxer, cat", "output": "boxer", "small": "cat", "large": "boxer" }, "1642": { "input": "cat, chimpanzee", "output": "chimpanzee", "small": "cat", "large": "chimpanzee" }, "1643": { "input": "cougar, cat", "output": "cougar", "small": "cat", "large": "cougar" }, "1644": { "input": "cat, tortoise", "output": "tortoise", "small": "cat", "large": "tortoise" }, "1645": { "input": "cat, deer", "output": "deer", "small": "cat", "large": "deer" }, "1646": { "input": "cat, wolf", "output": "wolf", "small": "cat", "large": "wolf" }, "1647": { "input": "cheetah, cat", "output": "cheetah", "small": "cat", "large": "cheetah" }, "1648": { "input": "turtle, cat", "output": "turtle", "small": "cat", "large": "turtle" }, "1649": { "input": "orangutan, cat", "output": "orangutan", "small": "cat", "large": "orangutan" }, "1650": { "input": "wild boar, cat", "output": "wild boar", "small": "cat", "large": "wild boar" }, "1651": { "input": "bull shark, cat", "output": "bull shark", "small": "cat", "large": "bull shark" }, "1652": { "input": "llama, cat", "output": "llama", "small": "cat", "large": "llama" }, "1653": { "input": "cat, bear", "output": "bear", "small": "cat", "large": "bear" }, "1654": { "input": "cat, pony", "output": "pony", "small": "cat", "large": "pony" }, "1655": { "input": "tiger, cat", "output": "tiger", "small": "cat", "large": "tiger" }, "1656": { "input": "sea lion, cat", "output": "sea lion", "small": "cat", "large": "sea lion" }, "1657": { "input": "jaguar, cat", "output": "jaguar", "small": "cat", "large": "jaguar" }, "1658": { "input": "lion, cat", "output": "lion", "small": "cat", "large": "lion" }, "1659": { "input": "cat, wildebeest", "output": "wildebeest", "small": "cat", "large": "wildebeest" }, "1660": { "input": "tuna, cat", "output": "tuna", "small": "cat", "large": "tuna" }, "1661": { "input": "cat, gorilla", "output": "gorilla", "small": "cat", "large": "gorilla" }, "1662": { "input": "mule, cat", "output": "mule", "small": "cat", "large": "mule" }, "1663": { "input": "manatee, cat", "output": "manatee", "small": "cat", "large": "manatee" }, "1664": { "input": "cat, sturgeon", "output": "sturgeon", "small": "cat", "large": "sturgeon" }, "1665": { "input": "cat, camel", "output": "camel", "small": "cat", "large": "camel" }, "1666": { "input": "elk, cat", "output": "elk", "small": "cat", "large": "elk" }, "1667": { "input": "cat, horse", "output": "horse", "small": "cat", "large": "horse" }, "1668": { "input": "cattle, cat", "output": "cattle", "small": "cat", "large": "cattle" }, "1669": { "input": "cat, shark", "output": "shark", "small": "cat", "large": "shark" }, "1670": { "input": "cat, elephant", "output": "elephant", "small": "cat", "large": "elephant" }, "1671": { "input": "giraffe, cat", "output": "giraffe", "small": "cat", "large": "giraffe" }, "1672": { "input": "moose, cat", "output": "moose", "small": "cat", "large": "moose" }, "1673": { "input": "cat, crocodile", "output": "crocodile", "small": "cat", "large": "crocodile" }, "1674": { "input": "liger, cat", "output": "liger", "small": "cat", "large": "liger" }, "1675": { "input": "cat, grizzly bear", "output": "grizzly bear", "small": "cat", "large": "grizzly bear" }, "1676": { "input": "cat, hippopotamus", "output": "hippopotamus", "small": "cat", "large": "hippopotamus" }, "1677": { "input": "cat, whale shark", "output": "whale shark", "small": "cat", "large": "whale shark" }, "1678": { "input": "killer whale, cat", "output": "killer whale", "small": "cat", "large": "killer whale" }, "1679": { "input": "cat, great white shark", "output": "great white shark", "small": "cat", "large": "great white shark" }, "1680": { "input": "cat, sperm whale", "output": "sperm whale", "small": "cat", "large": "sperm whale" }, "1681": { "input": "polar bear, cat", "output": "polar bear", "small": "cat", "large": "polar bear" }, "1682": { "input": "cat, elephant", "output": "elephant", "small": "cat", "large": "elephant" }, "1683": { "input": "largemouth bass, chamois", "output": "chamois", "small": "largemouth bass", "large": "chamois" }, "1684": { "input": "chinook, largemouth bass", "output": "chinook", "small": "largemouth bass", "large": "chinook" }, "1685": { "input": "human, largemouth bass", "output": "human", "small": "largemouth bass", "large": "human" }, "1686": { "input": "octopus, largemouth bass", "output": "octopus", "small": "largemouth bass", "large": "octopus" }, "1687": { "input": "alpaca, largemouth bass", "output": "alpaca", "small": "largemouth bass", "large": "alpaca" }, "1688": { "input": "largemouth bass, donkey", "output": "donkey", "small": "largemouth bass", "large": "donkey" }, "1689": { "input": "largemouth bass, pit bull", "output": "pit bull", "small": "largemouth bass", "large": "pit bull" }, "1690": { "input": "largemouth bass, bulldog", "output": "bulldog", "small": "largemouth bass", "large": "bulldog" }, "1691": { "input": "goat, largemouth bass", "output": "goat", "small": "largemouth bass", "large": "goat" }, "1692": { "input": "largemouth bass, greyhound", "output": "greyhound", "small": "largemouth bass", "large": "greyhound" }, "1693": { "input": "wombat, largemouth bass", "output": "wombat", "small": "largemouth bass", "large": "wombat" }, "1694": { "input": "largemouth bass, golden retriever", "output": "golden retriever", "small": "largemouth bass", "large": "golden retriever" }, "1695": { "input": "leopard, largemouth bass", "output": "leopard", "small": "largemouth bass", "large": "leopard" }, "1696": { "input": "capybara, largemouth bass", "output": "capybara", "small": "largemouth bass", "large": "capybara" }, "1697": { "input": "largemouth bass, boxer", "output": "boxer", "small": "largemouth bass", "large": "boxer" }, "1698": { "input": "largemouth bass, chimpanzee", "output": "chimpanzee", "small": "largemouth bass", "large": "chimpanzee" }, "1699": { "input": "cougar, largemouth bass", "output": "cougar", "small": "largemouth bass", "large": "cougar" }, "1700": { "input": "largemouth bass, tortoise", "output": "tortoise", "small": "largemouth bass", "large": "tortoise" }, "1701": { "input": "largemouth bass, deer", "output": "deer", "small": "largemouth bass", "large": "deer" }, "1702": { "input": "wolf, largemouth bass", "output": "wolf", "small": "largemouth bass", "large": "wolf" }, "1703": { "input": "cheetah, largemouth bass", "output": "cheetah", "small": "largemouth bass", "large": "cheetah" }, "1704": { "input": "turtle, largemouth bass", "output": "turtle", "small": "largemouth bass", "large": "turtle" }, "1705": { "input": "orangutan, largemouth bass", "output": "orangutan", "small": "largemouth bass", "large": "orangutan" }, "1706": { "input": "largemouth bass, wild boar", "output": "wild boar", "small": "largemouth bass", "large": "wild boar" }, "1707": { "input": "largemouth bass, bull shark", "output": "bull shark", "small": "largemouth bass", "large": "bull shark" }, "1708": { "input": "largemouth bass, llama", "output": "llama", "small": "largemouth bass", "large": "llama" }, "1709": { "input": "largemouth bass, bear", "output": "bear", "small": "largemouth bass", "large": "bear" }, "1710": { "input": "pony, largemouth bass", "output": "pony", "small": "largemouth bass", "large": "pony" }, "1711": { "input": "largemouth bass, tiger", "output": "tiger", "small": "largemouth bass", "large": "tiger" }, "1712": { "input": "largemouth bass, sea lion", "output": "sea lion", "small": "largemouth bass", "large": "sea lion" }, "1713": { "input": "jaguar, largemouth bass", "output": "jaguar", "small": "largemouth bass", "large": "jaguar" }, "1714": { "input": "lion, largemouth bass", "output": "lion", "small": "largemouth bass", "large": "lion" }, "1715": { "input": "largemouth bass, wildebeest", "output": "wildebeest", "small": "largemouth bass", "large": "wildebeest" }, "1716": { "input": "tuna, largemouth bass", "output": "tuna", "small": "largemouth bass", "large": "tuna" }, "1717": { "input": "gorilla, largemouth bass", "output": "gorilla", "small": "largemouth bass", "large": "gorilla" }, "1718": { "input": "mule, largemouth bass", "output": "mule", "small": "largemouth bass", "large": "mule" }, "1719": { "input": "manatee, largemouth bass", "output": "manatee", "small": "largemouth bass", "large": "manatee" }, "1720": { "input": "sturgeon, largemouth bass", "output": "sturgeon", "small": "largemouth bass", "large": "sturgeon" }, "1721": { "input": "camel, largemouth bass", "output": "camel", "small": "largemouth bass", "large": "camel" }, "1722": { "input": "largemouth bass, elk", "output": "elk", "small": "largemouth bass", "large": "elk" }, "1723": { "input": "largemouth bass, horse", "output": "horse", "small": "largemouth bass", "large": "horse" }, "1724": { "input": "largemouth bass, cattle", "output": "cattle", "small": "largemouth bass", "large": "cattle" }, "1725": { "input": "shark, largemouth bass", "output": "shark", "small": "largemouth bass", "large": "shark" }, "1726": { "input": "largemouth bass, elephant", "output": "elephant", "small": "largemouth bass", "large": "elephant" }, "1727": { "input": "giraffe, largemouth bass", "output": "giraffe", "small": "largemouth bass", "large": "giraffe" }, "1728": { "input": "largemouth bass, moose", "output": "moose", "small": "largemouth bass", "large": "moose" }, "1729": { "input": "crocodile, largemouth bass", "output": "crocodile", "small": "largemouth bass", "large": "crocodile" }, "1730": { "input": "liger, largemouth bass", "output": "liger", "small": "largemouth bass", "large": "liger" }, "1731": { "input": "grizzly bear, largemouth bass", "output": "grizzly bear", "small": "largemouth bass", "large": "grizzly bear" }, "1732": { "input": "largemouth bass, hippopotamus", "output": "hippopotamus", "small": "largemouth bass", "large": "hippopotamus" }, "1733": { "input": "largemouth bass, whale shark", "output": "whale shark", "small": "largemouth bass", "large": "whale shark" }, "1734": { "input": "killer whale, largemouth bass", "output": "killer whale", "small": "largemouth bass", "large": "killer whale" }, "1735": { "input": "great white shark, largemouth bass", "output": "great white shark", "small": "largemouth bass", "large": "great white shark" }, "1736": { "input": "sperm whale, largemouth bass", "output": "sperm whale", "small": "largemouth bass", "large": "sperm whale" }, "1737": { "input": "largemouth bass, polar bear", "output": "polar bear", "small": "largemouth bass", "large": "polar bear" }, "1738": { "input": "largemouth bass, elephant", "output": "elephant", "small": "largemouth bass", "large": "elephant" }, "1739": { "input": "pelican, chamois", "output": "chamois", "small": "pelican", "large": "chamois" }, "1740": { "input": "chinook, pelican", "output": "chinook", "small": "pelican", "large": "chinook" }, "1741": { "input": "pelican, human", "output": "human", "small": "pelican", "large": "human" }, "1742": { "input": "octopus, pelican", "output": "octopus", "small": "pelican", "large": "octopus" }, "1743": { "input": "pelican, alpaca", "output": "alpaca", "small": "pelican", "large": "alpaca" }, "1744": { "input": "donkey, pelican", "output": "donkey", "small": "pelican", "large": "donkey" }, "1745": { "input": "pit bull, pelican", "output": "pit bull", "small": "pelican", "large": "pit bull" }, "1746": { "input": "bulldog, pelican", "output": "bulldog", "small": "pelican", "large": "bulldog" }, "1747": { "input": "pelican, goat", "output": "goat", "small": "pelican", "large": "goat" }, "1748": { "input": "pelican, greyhound", "output": "greyhound", "small": "pelican", "large": "greyhound" }, "1749": { "input": "wombat, pelican", "output": "wombat", "small": "pelican", "large": "wombat" }, "1750": { "input": "golden retriever, pelican", "output": "golden retriever", "small": "pelican", "large": "golden retriever" }, "1751": { "input": "leopard, pelican", "output": "leopard", "small": "pelican", "large": "leopard" }, "1752": { "input": "pelican, capybara", "output": "capybara", "small": "pelican", "large": "capybara" }, "1753": { "input": "boxer, pelican", "output": "boxer", "small": "pelican", "large": "boxer" }, "1754": { "input": "pelican, chimpanzee", "output": "chimpanzee", "small": "pelican", "large": "chimpanzee" }, "1755": { "input": "pelican, cougar", "output": "cougar", "small": "pelican", "large": "cougar" }, "1756": { "input": "pelican, tortoise", "output": "tortoise", "small": "pelican", "large": "tortoise" }, "1757": { "input": "pelican, deer", "output": "deer", "small": "pelican", "large": "deer" }, "1758": { "input": "pelican, wolf", "output": "wolf", "small": "pelican", "large": "wolf" }, "1759": { "input": "pelican, cheetah", "output": "cheetah", "small": "pelican", "large": "cheetah" }, "1760": { "input": "pelican, turtle", "output": "turtle", "small": "pelican", "large": "turtle" }, "1761": { "input": "pelican, orangutan", "output": "orangutan", "small": "pelican", "large": "orangutan" }, "1762": { "input": "pelican, wild boar", "output": "wild boar", "small": "pelican", "large": "wild boar" }, "1763": { "input": "bull shark, pelican", "output": "bull shark", "small": "pelican", "large": "bull shark" }, "1764": { "input": "pelican, llama", "output": "llama", "small": "pelican", "large": "llama" }, "1765": { "input": "pelican, bear", "output": "bear", "small": "pelican", "large": "bear" }, "1766": { "input": "pelican, pony", "output": "pony", "small": "pelican", "large": "pony" }, "1767": { "input": "tiger, pelican", "output": "tiger", "small": "pelican", "large": "tiger" }, "1768": { "input": "pelican, sea lion", "output": "sea lion", "small": "pelican", "large": "sea lion" }, "1769": { "input": "jaguar, pelican", "output": "jaguar", "small": "pelican", "large": "jaguar" }, "1770": { "input": "lion, pelican", "output": "lion", "small": "pelican", "large": "lion" }, "1771": { "input": "pelican, wildebeest", "output": "wildebeest", "small": "pelican", "large": "wildebeest" }, "1772": { "input": "tuna, pelican", "output": "tuna", "small": "pelican", "large": "tuna" }, "1773": { "input": "gorilla, pelican", "output": "gorilla", "small": "pelican", "large": "gorilla" }, "1774": { "input": "pelican, mule", "output": "mule", "small": "pelican", "large": "mule" }, "1775": { "input": "pelican, manatee", "output": "manatee", "small": "pelican", "large": "manatee" }, "1776": { "input": "pelican, sturgeon", "output": "sturgeon", "small": "pelican", "large": "sturgeon" }, "1777": { "input": "pelican, camel", "output": "camel", "small": "pelican", "large": "camel" }, "1778": { "input": "pelican, elk", "output": "elk", "small": "pelican", "large": "elk" }, "1779": { "input": "pelican, horse", "output": "horse", "small": "pelican", "large": "horse" }, "1780": { "input": "cattle, pelican", "output": "cattle", "small": "pelican", "large": "cattle" }, "1781": { "input": "pelican, shark", "output": "shark", "small": "pelican", "large": "shark" }, "1782": { "input": "elephant, pelican", "output": "elephant", "small": "pelican", "large": "elephant" }, "1783": { "input": "giraffe, pelican", "output": "giraffe", "small": "pelican", "large": "giraffe" }, "1784": { "input": "moose, pelican", "output": "moose", "small": "pelican", "large": "moose" }, "1785": { "input": "crocodile, pelican", "output": "crocodile", "small": "pelican", "large": "crocodile" }, "1786": { "input": "liger, pelican", "output": "liger", "small": "pelican", "large": "liger" }, "1787": { "input": "pelican, grizzly bear", "output": "grizzly bear", "small": "pelican", "large": "grizzly bear" }, "1788": { "input": "hippopotamus, pelican", "output": "hippopotamus", "small": "pelican", "large": "hippopotamus" }, "1789": { "input": "whale shark, pelican", "output": "whale shark", "small": "pelican", "large": "whale shark" }, "1790": { "input": "killer whale, pelican", "output": "killer whale", "small": "pelican", "large": "killer whale" }, "1791": { "input": "great white shark, pelican", "output": "great white shark", "small": "pelican", "large": "great white shark" }, "1792": { "input": "sperm whale, pelican", "output": "sperm whale", "small": "pelican", "large": "sperm whale" }, "1793": { "input": "polar bear, pelican", "output": "polar bear", "small": "pelican", "large": "polar bear" }, "1794": { "input": "pelican, elephant", "output": "elephant", "small": "pelican", "large": "elephant" }, "1795": { "input": "chamois, koala", "output": "chamois", "small": "koala", "large": "chamois" }, "1796": { "input": "chinook, koala", "output": "chinook", "small": "koala", "large": "chinook" }, "1797": { "input": "human, koala", "output": "human", "small": "koala", "large": "human" }, "1798": { "input": "koala, octopus", "output": "octopus", "small": "koala", "large": "octopus" }, "1799": { "input": "alpaca, koala", "output": "alpaca", "small": "koala", "large": "alpaca" }, "1800": { "input": "koala, donkey", "output": "donkey", "small": "koala", "large": "donkey" }, "1801": { "input": "koala, pit bull", "output": "pit bull", "small": "koala", "large": "pit bull" }, "1802": { "input": "bulldog, koala", "output": "bulldog", "small": "koala", "large": "bulldog" }, "1803": { "input": "goat, koala", "output": "goat", "small": "koala", "large": "goat" }, "1804": { "input": "greyhound, koala", "output": "greyhound", "small": "koala", "large": "greyhound" }, "1805": { "input": "wombat, koala", "output": "wombat", "small": "koala", "large": "wombat" }, "1806": { "input": "koala, golden retriever", "output": "golden retriever", "small": "koala", "large": "golden retriever" }, "1807": { "input": "leopard, koala", "output": "leopard", "small": "koala", "large": "leopard" }, "1808": { "input": "koala, capybara", "output": "capybara", "small": "koala", "large": "capybara" }, "1809": { "input": "boxer, koala", "output": "boxer", "small": "koala", "large": "boxer" }, "1810": { "input": "chimpanzee, koala", "output": "chimpanzee", "small": "koala", "large": "chimpanzee" }, "1811": { "input": "cougar, koala", "output": "cougar", "small": "koala", "large": "cougar" }, "1812": { "input": "koala, tortoise", "output": "tortoise", "small": "koala", "large": "tortoise" }, "1813": { "input": "deer, koala", "output": "deer", "small": "koala", "large": "deer" }, "1814": { "input": "wolf, koala", "output": "wolf", "small": "koala", "large": "wolf" }, "1815": { "input": "cheetah, koala", "output": "cheetah", "small": "koala", "large": "cheetah" }, "1816": { "input": "koala, turtle", "output": "turtle", "small": "koala", "large": "turtle" }, "1817": { "input": "koala, orangutan", "output": "orangutan", "small": "koala", "large": "orangutan" }, "1818": { "input": "koala, wild boar", "output": "wild boar", "small": "koala", "large": "wild boar" }, "1819": { "input": "bull shark, koala", "output": "bull shark", "small": "koala", "large": "bull shark" }, "1820": { "input": "llama, koala", "output": "llama", "small": "koala", "large": "llama" }, "1821": { "input": "bear, koala", "output": "bear", "small": "koala", "large": "bear" }, "1822": { "input": "pony, koala", "output": "pony", "small": "koala", "large": "pony" }, "1823": { "input": "koala, tiger", "output": "tiger", "small": "koala", "large": "tiger" }, "1824": { "input": "koala, sea lion", "output": "sea lion", "small": "koala", "large": "sea lion" }, "1825": { "input": "koala, jaguar", "output": "jaguar", "small": "koala", "large": "jaguar" }, "1826": { "input": "lion, koala", "output": "lion", "small": "koala", "large": "lion" }, "1827": { "input": "koala, wildebeest", "output": "wildebeest", "small": "koala", "large": "wildebeest" }, "1828": { "input": "koala, tuna", "output": "tuna", "small": "koala", "large": "tuna" }, "1829": { "input": "gorilla, koala", "output": "gorilla", "small": "koala", "large": "gorilla" }, "1830": { "input": "mule, koala", "output": "mule", "small": "koala", "large": "mule" }, "1831": { "input": "koala, manatee", "output": "manatee", "small": "koala", "large": "manatee" }, "1832": { "input": "sturgeon, koala", "output": "sturgeon", "small": "koala", "large": "sturgeon" }, "1833": { "input": "koala, camel", "output": "camel", "small": "koala", "large": "camel" }, "1834": { "input": "elk, koala", "output": "elk", "small": "koala", "large": "elk" }, "1835": { "input": "horse, koala", "output": "horse", "small": "koala", "large": "horse" }, "1836": { "input": "koala, cattle", "output": "cattle", "small": "koala", "large": "cattle" }, "1837": { "input": "shark, koala", "output": "shark", "small": "koala", "large": "shark" }, "1838": { "input": "elephant, koala", "output": "elephant", "small": "koala", "large": "elephant" }, "1839": { "input": "koala, giraffe", "output": "giraffe", "small": "koala", "large": "giraffe" }, "1840": { "input": "koala, moose", "output": "moose", "small": "koala", "large": "moose" }, "1841": { "input": "crocodile, koala", "output": "crocodile", "small": "koala", "large": "crocodile" }, "1842": { "input": "koala, liger", "output": "liger", "small": "koala", "large": "liger" }, "1843": { "input": "grizzly bear, koala", "output": "grizzly bear", "small": "koala", "large": "grizzly bear" }, "1844": { "input": "koala, hippopotamus", "output": "hippopotamus", "small": "koala", "large": "hippopotamus" }, "1845": { "input": "whale shark, koala", "output": "whale shark", "small": "koala", "large": "whale shark" }, "1846": { "input": "killer whale, koala", "output": "killer whale", "small": "koala", "large": "killer whale" }, "1847": { "input": "great white shark, koala", "output": "great white shark", "small": "koala", "large": "great white shark" }, "1848": { "input": "sperm whale, koala", "output": "sperm whale", "small": "koala", "large": "sperm whale" }, "1849": { "input": "koala, polar bear", "output": "polar bear", "small": "koala", "large": "polar bear" }, "1850": { "input": "elephant, koala", "output": "elephant", "small": "koala", "large": "elephant" }, "1851": { "input": "chamois, poodle", "output": "chamois", "small": "poodle", "large": "chamois" }, "1852": { "input": "poodle, chinook", "output": "chinook", "small": "poodle", "large": "chinook" }, "1853": { "input": "human, poodle", "output": "human", "small": "poodle", "large": "human" }, "1854": { "input": "poodle, octopus", "output": "octopus", "small": "poodle", "large": "octopus" }, "1855": { "input": "alpaca, poodle", "output": "alpaca", "small": "poodle", "large": "alpaca" }, "1856": { "input": "donkey, poodle", "output": "donkey", "small": "poodle", "large": "donkey" }, "1857": { "input": "pit bull, poodle", "output": "pit bull", "small": "poodle", "large": "pit bull" }, "1858": { "input": "poodle, bulldog", "output": "bulldog", "small": "poodle", "large": "bulldog" }, "1859": { "input": "goat, poodle", "output": "goat", "small": "poodle", "large": "goat" }, "1860": { "input": "greyhound, poodle", "output": "greyhound", "small": "poodle", "large": "greyhound" }, "1861": { "input": "wombat, poodle", "output": "wombat", "small": "poodle", "large": "wombat" }, "1862": { "input": "golden retriever, poodle", "output": "golden retriever", "small": "poodle", "large": "golden retriever" }, "1863": { "input": "poodle, leopard", "output": "leopard", "small": "poodle", "large": "leopard" }, "1864": { "input": "poodle, capybara", "output": "capybara", "small": "poodle", "large": "capybara" }, "1865": { "input": "boxer, poodle", "output": "boxer", "small": "poodle", "large": "boxer" }, "1866": { "input": "poodle, chimpanzee", "output": "chimpanzee", "small": "poodle", "large": "chimpanzee" }, "1867": { "input": "poodle, cougar", "output": "cougar", "small": "poodle", "large": "cougar" }, "1868": { "input": "poodle, tortoise", "output": "tortoise", "small": "poodle", "large": "tortoise" }, "1869": { "input": "deer, poodle", "output": "deer", "small": "poodle", "large": "deer" }, "1870": { "input": "poodle, wolf", "output": "wolf", "small": "poodle", "large": "wolf" }, "1871": { "input": "poodle, cheetah", "output": "cheetah", "small": "poodle", "large": "cheetah" }, "1872": { "input": "turtle, poodle", "output": "turtle", "small": "poodle", "large": "turtle" }, "1873": { "input": "poodle, orangutan", "output": "orangutan", "small": "poodle", "large": "orangutan" }, "1874": { "input": "poodle, wild boar", "output": "wild boar", "small": "poodle", "large": "wild boar" }, "1875": { "input": "bull shark, poodle", "output": "bull shark", "small": "poodle", "large": "bull shark" }, "1876": { "input": "poodle, llama", "output": "llama", "small": "poodle", "large": "llama" }, "1877": { "input": "bear, poodle", "output": "bear", "small": "poodle", "large": "bear" }, "1878": { "input": "pony, poodle", "output": "pony", "small": "poodle", "large": "pony" }, "1879": { "input": "poodle, tiger", "output": "tiger", "small": "poodle", "large": "tiger" }, "1880": { "input": "sea lion, poodle", "output": "sea lion", "small": "poodle", "large": "sea lion" }, "1881": { "input": "jaguar, poodle", "output": "jaguar", "small": "poodle", "large": "jaguar" }, "1882": { "input": "lion, poodle", "output": "lion", "small": "poodle", "large": "lion" }, "1883": { "input": "wildebeest, poodle", "output": "wildebeest", "small": "poodle", "large": "wildebeest" }, "1884": { "input": "poodle, tuna", "output": "tuna", "small": "poodle", "large": "tuna" }, "1885": { "input": "poodle, gorilla", "output": "gorilla", "small": "poodle", "large": "gorilla" }, "1886": { "input": "mule, poodle", "output": "mule", "small": "poodle", "large": "mule" }, "1887": { "input": "manatee, poodle", "output": "manatee", "small": "poodle", "large": "manatee" }, "1888": { "input": "poodle, sturgeon", "output": "sturgeon", "small": "poodle", "large": "sturgeon" }, "1889": { "input": "camel, poodle", "output": "camel", "small": "poodle", "large": "camel" }, "1890": { "input": "elk, poodle", "output": "elk", "small": "poodle", "large": "elk" }, "1891": { "input": "horse, poodle", "output": "horse", "small": "poodle", "large": "horse" }, "1892": { "input": "poodle, cattle", "output": "cattle", "small": "poodle", "large": "cattle" }, "1893": { "input": "poodle, shark", "output": "shark", "small": "poodle", "large": "shark" }, "1894": { "input": "elephant, poodle", "output": "elephant", "small": "poodle", "large": "elephant" }, "1895": { "input": "poodle, giraffe", "output": "giraffe", "small": "poodle", "large": "giraffe" }, "1896": { "input": "moose, poodle", "output": "moose", "small": "poodle", "large": "moose" }, "1897": { "input": "crocodile, poodle", "output": "crocodile", "small": "poodle", "large": "crocodile" }, "1898": { "input": "liger, poodle", "output": "liger", "small": "poodle", "large": "liger" }, "1899": { "input": "grizzly bear, poodle", "output": "grizzly bear", "small": "poodle", "large": "grizzly bear" }, "1900": { "input": "hippopotamus, poodle", "output": "hippopotamus", "small": "poodle", "large": "hippopotamus" }, "1901": { "input": "poodle, whale shark", "output": "whale shark", "small": "poodle", "large": "whale shark" }, "1902": { "input": "killer whale, poodle", "output": "killer whale", "small": "poodle", "large": "killer whale" }, "1903": { "input": "great white shark, poodle", "output": "great white shark", "small": "poodle", "large": "great white shark" }, "1904": { "input": "poodle, sperm whale", "output": "sperm whale", "small": "poodle", "large": "sperm whale" }, "1905": { "input": "polar bear, poodle", "output": "polar bear", "small": "poodle", "large": "polar bear" }, "1906": { "input": "elephant, poodle", "output": "elephant", "small": "poodle", "large": "elephant" }, "1907": { "input": "chamois, bald eagle", "output": "chamois", "small": "bald eagle", "large": "chamois" }, "1908": { "input": "bald eagle, chinook", "output": "chinook", "small": "bald eagle", "large": "chinook" }, "1909": { "input": "human, bald eagle", "output": "human", "small": "bald eagle", "large": "human" }, "1910": { "input": "bald eagle, octopus", "output": "octopus", "small": "bald eagle", "large": "octopus" }, "1911": { "input": "bald eagle, alpaca", "output": "alpaca", "small": "bald eagle", "large": "alpaca" }, "1912": { "input": "donkey, bald eagle", "output": "donkey", "small": "bald eagle", "large": "donkey" }, "1913": { "input": "pit bull, bald eagle", "output": "pit bull", "small": "bald eagle", "large": "pit bull" }, "1914": { "input": "bulldog, bald eagle", "output": "bulldog", "small": "bald eagle", "large": "bulldog" }, "1915": { "input": "goat, bald eagle", "output": "goat", "small": "bald eagle", "large": "goat" }, "1916": { "input": "greyhound, bald eagle", "output": "greyhound", "small": "bald eagle", "large": "greyhound" }, "1917": { "input": "bald eagle, wombat", "output": "wombat", "small": "bald eagle", "large": "wombat" }, "1918": { "input": "golden retriever, bald eagle", "output": "golden retriever", "small": "bald eagle", "large": "golden retriever" }, "1919": { "input": "bald eagle, leopard", "output": "leopard", "small": "bald eagle", "large": "leopard" }, "1920": { "input": "capybara, bald eagle", "output": "capybara", "small": "bald eagle", "large": "capybara" }, "1921": { "input": "boxer, bald eagle", "output": "boxer", "small": "bald eagle", "large": "boxer" }, "1922": { "input": "bald eagle, chimpanzee", "output": "chimpanzee", "small": "bald eagle", "large": "chimpanzee" }, "1923": { "input": "bald eagle, cougar", "output": "cougar", "small": "bald eagle", "large": "cougar" }, "1924": { "input": "tortoise, bald eagle", "output": "tortoise", "small": "bald eagle", "large": "tortoise" }, "1925": { "input": "deer, bald eagle", "output": "deer", "small": "bald eagle", "large": "deer" }, "1926": { "input": "wolf, bald eagle", "output": "wolf", "small": "bald eagle", "large": "wolf" }, "1927": { "input": "cheetah, bald eagle", "output": "cheetah", "small": "bald eagle", "large": "cheetah" }, "1928": { "input": "turtle, bald eagle", "output": "turtle", "small": "bald eagle", "large": "turtle" }, "1929": { "input": "bald eagle, orangutan", "output": "orangutan", "small": "bald eagle", "large": "orangutan" }, "1930": { "input": "wild boar, bald eagle", "output": "wild boar", "small": "bald eagle", "large": "wild boar" }, "1931": { "input": "bald eagle, bull shark", "output": "bull shark", "small": "bald eagle", "large": "bull shark" }, "1932": { "input": "llama, bald eagle", "output": "llama", "small": "bald eagle", "large": "llama" }, "1933": { "input": "bear, bald eagle", "output": "bear", "small": "bald eagle", "large": "bear" }, "1934": { "input": "pony, bald eagle", "output": "pony", "small": "bald eagle", "large": "pony" }, "1935": { "input": "bald eagle, tiger", "output": "tiger", "small": "bald eagle", "large": "tiger" }, "1936": { "input": "bald eagle, sea lion", "output": "sea lion", "small": "bald eagle", "large": "sea lion" }, "1937": { "input": "jaguar, bald eagle", "output": "jaguar", "small": "bald eagle", "large": "jaguar" }, "1938": { "input": "lion, bald eagle", "output": "lion", "small": "bald eagle", "large": "lion" }, "1939": { "input": "wildebeest, bald eagle", "output": "wildebeest", "small": "bald eagle", "large": "wildebeest" }, "1940": { "input": "tuna, bald eagle", "output": "tuna", "small": "bald eagle", "large": "tuna" }, "1941": { "input": "gorilla, bald eagle", "output": "gorilla", "small": "bald eagle", "large": "gorilla" }, "1942": { "input": "mule, bald eagle", "output": "mule", "small": "bald eagle", "large": "mule" }, "1943": { "input": "bald eagle, manatee", "output": "manatee", "small": "bald eagle", "large": "manatee" }, "1944": { "input": "bald eagle, sturgeon", "output": "sturgeon", "small": "bald eagle", "large": "sturgeon" }, "1945": { "input": "bald eagle, camel", "output": "camel", "small": "bald eagle", "large": "camel" }, "1946": { "input": "bald eagle, elk", "output": "elk", "small": "bald eagle", "large": "elk" }, "1947": { "input": "horse, bald eagle", "output": "horse", "small": "bald eagle", "large": "horse" }, "1948": { "input": "cattle, bald eagle", "output": "cattle", "small": "bald eagle", "large": "cattle" }, "1949": { "input": "bald eagle, shark", "output": "shark", "small": "bald eagle", "large": "shark" }, "1950": { "input": "bald eagle, elephant", "output": "elephant", "small": "bald eagle", "large": "elephant" }, "1951": { "input": "giraffe, bald eagle", "output": "giraffe", "small": "bald eagle", "large": "giraffe" }, "1952": { "input": "moose, bald eagle", "output": "moose", "small": "bald eagle", "large": "moose" }, "1953": { "input": "crocodile, bald eagle", "output": "crocodile", "small": "bald eagle", "large": "crocodile" }, "1954": { "input": "liger, bald eagle", "output": "liger", "small": "bald eagle", "large": "liger" }, "1955": { "input": "bald eagle, grizzly bear", "output": "grizzly bear", "small": "bald eagle", "large": "grizzly bear" }, "1956": { "input": "hippopotamus, bald eagle", "output": "hippopotamus", "small": "bald eagle", "large": "hippopotamus" }, "1957": { "input": "bald eagle, whale shark", "output": "whale shark", "small": "bald eagle", "large": "whale shark" }, "1958": { "input": "bald eagle, killer whale", "output": "killer whale", "small": "bald eagle", "large": "killer whale" }, "1959": { "input": "great white shark, bald eagle", "output": "great white shark", "small": "bald eagle", "large": "great white shark" }, "1960": { "input": "bald eagle, sperm whale", "output": "sperm whale", "small": "bald eagle", "large": "sperm whale" }, "1961": { "input": "polar bear, bald eagle", "output": "polar bear", "small": "bald eagle", "large": "polar bear" }, "1962": { "input": "elephant, bald eagle", "output": "elephant", "small": "bald eagle", "large": "elephant" }, "1963": { "input": "dachshund, chamois", "output": "chamois", "small": "dachshund", "large": "chamois" }, "1964": { "input": "chinook, dachshund", "output": "chinook", "small": "dachshund", "large": "chinook" }, "1965": { "input": "human, dachshund", "output": "human", "small": "dachshund", "large": "human" }, "1966": { "input": "octopus, dachshund", "output": "octopus", "small": "dachshund", "large": "octopus" }, "1967": { "input": "alpaca, dachshund", "output": "alpaca", "small": "dachshund", "large": "alpaca" }, "1968": { "input": "dachshund, donkey", "output": "donkey", "small": "dachshund", "large": "donkey" }, "1969": { "input": "pit bull, dachshund", "output": "pit bull", "small": "dachshund", "large": "pit bull" }, "1970": { "input": "bulldog, dachshund", "output": "bulldog", "small": "dachshund", "large": "bulldog" }, "1971": { "input": "goat, dachshund", "output": "goat", "small": "dachshund", "large": "goat" }, "1972": { "input": "dachshund, greyhound", "output": "greyhound", "small": "dachshund", "large": "greyhound" }, "1973": { "input": "wombat, dachshund", "output": "wombat", "small": "dachshund", "large": "wombat" }, "1974": { "input": "golden retriever, dachshund", "output": "golden retriever", "small": "dachshund", "large": "golden retriever" }, "1975": { "input": "dachshund, leopard", "output": "leopard", "small": "dachshund", "large": "leopard" }, "1976": { "input": "dachshund, capybara", "output": "capybara", "small": "dachshund", "large": "capybara" }, "1977": { "input": "dachshund, boxer", "output": "boxer", "small": "dachshund", "large": "boxer" }, "1978": { "input": "chimpanzee, dachshund", "output": "chimpanzee", "small": "dachshund", "large": "chimpanzee" }, "1979": { "input": "dachshund, cougar", "output": "cougar", "small": "dachshund", "large": "cougar" }, "1980": { "input": "tortoise, dachshund", "output": "tortoise", "small": "dachshund", "large": "tortoise" }, "1981": { "input": "deer, dachshund", "output": "deer", "small": "dachshund", "large": "deer" }, "1982": { "input": "wolf, dachshund", "output": "wolf", "small": "dachshund", "large": "wolf" }, "1983": { "input": "dachshund, cheetah", "output": "cheetah", "small": "dachshund", "large": "cheetah" }, "1984": { "input": "dachshund, turtle", "output": "turtle", "small": "dachshund", "large": "turtle" }, "1985": { "input": "dachshund, orangutan", "output": "orangutan", "small": "dachshund", "large": "orangutan" }, "1986": { "input": "dachshund, wild boar", "output": "wild boar", "small": "dachshund", "large": "wild boar" }, "1987": { "input": "dachshund, bull shark", "output": "bull shark", "small": "dachshund", "large": "bull shark" }, "1988": { "input": "llama, dachshund", "output": "llama", "small": "dachshund", "large": "llama" }, "1989": { "input": "dachshund, bear", "output": "bear", "small": "dachshund", "large": "bear" }, "1990": { "input": "pony, dachshund", "output": "pony", "small": "dachshund", "large": "pony" }, "1991": { "input": "tiger, dachshund", "output": "tiger", "small": "dachshund", "large": "tiger" }, "1992": { "input": "dachshund, sea lion", "output": "sea lion", "small": "dachshund", "large": "sea lion" }, "1993": { "input": "jaguar, dachshund", "output": "jaguar", "small": "dachshund", "large": "jaguar" }, "1994": { "input": "dachshund, lion", "output": "lion", "small": "dachshund", "large": "lion" }, "1995": { "input": "wildebeest, dachshund", "output": "wildebeest", "small": "dachshund", "large": "wildebeest" }, "1996": { "input": "dachshund, tuna", "output": "tuna", "small": "dachshund", "large": "tuna" }, "1997": { "input": "dachshund, gorilla", "output": "gorilla", "small": "dachshund", "large": "gorilla" }, "1998": { "input": "dachshund, mule", "output": "mule", "small": "dachshund", "large": "mule" }, "1999": { "input": "manatee, dachshund", "output": "manatee", "small": "dachshund", "large": "manatee" }, "2000": { "input": "sturgeon, dachshund", "output": "sturgeon", "small": "dachshund", "large": "sturgeon" }, "2001": { "input": "dachshund, camel", "output": "camel", "small": "dachshund", "large": "camel" }, "2002": { "input": "dachshund, elk", "output": "elk", "small": "dachshund", "large": "elk" }, "2003": { "input": "dachshund, horse", "output": "horse", "small": "dachshund", "large": "horse" }, "2004": { "input": "cattle, dachshund", "output": "cattle", "small": "dachshund", "large": "cattle" }, "2005": { "input": "shark, dachshund", "output": "shark", "small": "dachshund", "large": "shark" }, "2006": { "input": "dachshund, elephant", "output": "elephant", "small": "dachshund", "large": "elephant" }, "2007": { "input": "dachshund, giraffe", "output": "giraffe", "small": "dachshund", "large": "giraffe" }, "2008": { "input": "moose, dachshund", "output": "moose", "small": "dachshund", "large": "moose" }, "2009": { "input": "crocodile, dachshund", "output": "crocodile", "small": "dachshund", "large": "crocodile" }, "2010": { "input": "dachshund, liger", "output": "liger", "small": "dachshund", "large": "liger" }, "2011": { "input": "dachshund, grizzly bear", "output": "grizzly bear", "small": "dachshund", "large": "grizzly bear" }, "2012": { "input": "dachshund, hippopotamus", "output": "hippopotamus", "small": "dachshund", "large": "hippopotamus" }, "2013": { "input": "dachshund, whale shark", "output": "whale shark", "small": "dachshund", "large": "whale shark" }, "2014": { "input": "killer whale, dachshund", "output": "killer whale", "small": "dachshund", "large": "killer whale" }, "2015": { "input": "great white shark, dachshund", "output": "great white shark", "small": "dachshund", "large": "great white shark" }, "2016": { "input": "dachshund, sperm whale", "output": "sperm whale", "small": "dachshund", "large": "sperm whale" }, "2017": { "input": "dachshund, polar bear", "output": "polar bear", "small": "dachshund", "large": "polar bear" }, "2018": { "input": "dachshund, elephant", "output": "elephant", "small": "dachshund", "large": "elephant" }, "2019": { "input": "beagle, chamois", "output": "chamois", "small": "beagle", "large": "chamois" }, "2020": { "input": "beagle, chinook", "output": "chinook", "small": "beagle", "large": "chinook" }, "2021": { "input": "beagle, human", "output": "human", "small": "beagle", "large": "human" }, "2022": { "input": "octopus, beagle", "output": "octopus", "small": "beagle", "large": "octopus" }, "2023": { "input": "alpaca, beagle", "output": "alpaca", "small": "beagle", "large": "alpaca" }, "2024": { "input": "donkey, beagle", "output": "donkey", "small": "beagle", "large": "donkey" }, "2025": { "input": "beagle, pit bull", "output": "pit bull", "small": "beagle", "large": "pit bull" }, "2026": { "input": "bulldog, beagle", "output": "bulldog", "small": "beagle", "large": "bulldog" }, "2027": { "input": "beagle, goat", "output": "goat", "small": "beagle", "large": "goat" }, "2028": { "input": "greyhound, beagle", "output": "greyhound", "small": "beagle", "large": "greyhound" }, "2029": { "input": "wombat, beagle", "output": "wombat", "small": "beagle", "large": "wombat" }, "2030": { "input": "golden retriever, beagle", "output": "golden retriever", "small": "beagle", "large": "golden retriever" }, "2031": { "input": "beagle, leopard", "output": "leopard", "small": "beagle", "large": "leopard" }, "2032": { "input": "beagle, capybara", "output": "capybara", "small": "beagle", "large": "capybara" }, "2033": { "input": "beagle, boxer", "output": "boxer", "small": "beagle", "large": "boxer" }, "2034": { "input": "chimpanzee, beagle", "output": "chimpanzee", "small": "beagle", "large": "chimpanzee" }, "2035": { "input": "cougar, beagle", "output": "cougar", "small": "beagle", "large": "cougar" }, "2036": { "input": "tortoise, beagle", "output": "tortoise", "small": "beagle", "large": "tortoise" }, "2037": { "input": "beagle, deer", "output": "deer", "small": "beagle", "large": "deer" }, "2038": { "input": "wolf, beagle", "output": "wolf", "small": "beagle", "large": "wolf" }, "2039": { "input": "beagle, cheetah", "output": "cheetah", "small": "beagle", "large": "cheetah" }, "2040": { "input": "beagle, turtle", "output": "turtle", "small": "beagle", "large": "turtle" }, "2041": { "input": "orangutan, beagle", "output": "orangutan", "small": "beagle", "large": "orangutan" }, "2042": { "input": "beagle, wild boar", "output": "wild boar", "small": "beagle", "large": "wild boar" }, "2043": { "input": "bull shark, beagle", "output": "bull shark", "small": "beagle", "large": "bull shark" }, "2044": { "input": "llama, beagle", "output": "llama", "small": "beagle", "large": "llama" }, "2045": { "input": "beagle, bear", "output": "bear", "small": "beagle", "large": "bear" }, "2046": { "input": "pony, beagle", "output": "pony", "small": "beagle", "large": "pony" }, "2047": { "input": "beagle, tiger", "output": "tiger", "small": "beagle", "large": "tiger" }, "2048": { "input": "beagle, sea lion", "output": "sea lion", "small": "beagle", "large": "sea lion" }, "2049": { "input": "jaguar, beagle", "output": "jaguar", "small": "beagle", "large": "jaguar" }, "2050": { "input": "beagle, lion", "output": "lion", "small": "beagle", "large": "lion" }, "2051": { "input": "wildebeest, beagle", "output": "wildebeest", "small": "beagle", "large": "wildebeest" }, "2052": { "input": "tuna, beagle", "output": "tuna", "small": "beagle", "large": "tuna" }, "2053": { "input": "gorilla, beagle", "output": "gorilla", "small": "beagle", "large": "gorilla" }, "2054": { "input": "mule, beagle", "output": "mule", "small": "beagle", "large": "mule" }, "2055": { "input": "beagle, manatee", "output": "manatee", "small": "beagle", "large": "manatee" }, "2056": { "input": "beagle, sturgeon", "output": "sturgeon", "small": "beagle", "large": "sturgeon" }, "2057": { "input": "beagle, camel", "output": "camel", "small": "beagle", "large": "camel" }, "2058": { "input": "elk, beagle", "output": "elk", "small": "beagle", "large": "elk" }, "2059": { "input": "horse, beagle", "output": "horse", "small": "beagle", "large": "horse" }, "2060": { "input": "cattle, beagle", "output": "cattle", "small": "beagle", "large": "cattle" }, "2061": { "input": "beagle, shark", "output": "shark", "small": "beagle", "large": "shark" }, "2062": { "input": "beagle, elephant", "output": "elephant", "small": "beagle", "large": "elephant" }, "2063": { "input": "giraffe, beagle", "output": "giraffe", "small": "beagle", "large": "giraffe" }, "2064": { "input": "moose, beagle", "output": "moose", "small": "beagle", "large": "moose" }, "2065": { "input": "crocodile, beagle", "output": "crocodile", "small": "beagle", "large": "crocodile" }, "2066": { "input": "liger, beagle", "output": "liger", "small": "beagle", "large": "liger" }, "2067": { "input": "grizzly bear, beagle", "output": "grizzly bear", "small": "beagle", "large": "grizzly bear" }, "2068": { "input": "beagle, hippopotamus", "output": "hippopotamus", "small": "beagle", "large": "hippopotamus" }, "2069": { "input": "whale shark, beagle", "output": "whale shark", "small": "beagle", "large": "whale shark" }, "2070": { "input": "killer whale, beagle", "output": "killer whale", "small": "beagle", "large": "killer whale" }, "2071": { "input": "great white shark, beagle", "output": "great white shark", "small": "beagle", "large": "great white shark" }, "2072": { "input": "sperm whale, beagle", "output": "sperm whale", "small": "beagle", "large": "sperm whale" }, "2073": { "input": "polar bear, beagle", "output": "polar bear", "small": "beagle", "large": "polar bear" }, "2074": { "input": "elephant, beagle", "output": "elephant", "small": "beagle", "large": "elephant" }, "2075": { "input": "chamois, koi", "output": "chamois", "small": "koi", "large": "chamois" }, "2076": { "input": "chinook, koi", "output": "chinook", "small": "koi", "large": "chinook" }, "2077": { "input": "human, koi", "output": "human", "small": "koi", "large": "human" }, "2078": { "input": "koi, octopus", "output": "octopus", "small": "koi", "large": "octopus" }, "2079": { "input": "koi, alpaca", "output": "alpaca", "small": "koi", "large": "alpaca" }, "2080": { "input": "donkey, koi", "output": "donkey", "small": "koi", "large": "donkey" }, "2081": { "input": "koi, pit bull", "output": "pit bull", "small": "koi", "large": "pit bull" }, "2082": { "input": "koi, bulldog", "output": "bulldog", "small": "koi", "large": "bulldog" }, "2083": { "input": "koi, goat", "output": "goat", "small": "koi", "large": "goat" }, "2084": { "input": "koi, greyhound", "output": "greyhound", "small": "koi", "large": "greyhound" }, "2085": { "input": "wombat, koi", "output": "wombat", "small": "koi", "large": "wombat" }, "2086": { "input": "golden retriever, koi", "output": "golden retriever", "small": "koi", "large": "golden retriever" }, "2087": { "input": "leopard, koi", "output": "leopard", "small": "koi", "large": "leopard" }, "2088": { "input": "capybara, koi", "output": "capybara", "small": "koi", "large": "capybara" }, "2089": { "input": "koi, boxer", "output": "boxer", "small": "koi", "large": "boxer" }, "2090": { "input": "koi, chimpanzee", "output": "chimpanzee", "small": "koi", "large": "chimpanzee" }, "2091": { "input": "koi, cougar", "output": "cougar", "small": "koi", "large": "cougar" }, "2092": { "input": "tortoise, koi", "output": "tortoise", "small": "koi", "large": "tortoise" }, "2093": { "input": "deer, koi", "output": "deer", "small": "koi", "large": "deer" }, "2094": { "input": "koi, wolf", "output": "wolf", "small": "koi", "large": "wolf" }, "2095": { "input": "koi, cheetah", "output": "cheetah", "small": "koi", "large": "cheetah" }, "2096": { "input": "koi, turtle", "output": "turtle", "small": "koi", "large": "turtle" }, "2097": { "input": "koi, orangutan", "output": "orangutan", "small": "koi", "large": "orangutan" }, "2098": { "input": "koi, wild boar", "output": "wild boar", "small": "koi", "large": "wild boar" }, "2099": { "input": "koi, bull shark", "output": "bull shark", "small": "koi", "large": "bull shark" }, "2100": { "input": "llama, koi", "output": "llama", "small": "koi", "large": "llama" }, "2101": { "input": "koi, bear", "output": "bear", "small": "koi", "large": "bear" }, "2102": { "input": "pony, koi", "output": "pony", "small": "koi", "large": "pony" }, "2103": { "input": "koi, tiger", "output": "tiger", "small": "koi", "large": "tiger" }, "2104": { "input": "koi, sea lion", "output": "sea lion", "small": "koi", "large": "sea lion" }, "2105": { "input": "jaguar, koi", "output": "jaguar", "small": "koi", "large": "jaguar" }, "2106": { "input": "lion, koi", "output": "lion", "small": "koi", "large": "lion" }, "2107": { "input": "wildebeest, koi", "output": "wildebeest", "small": "koi", "large": "wildebeest" }, "2108": { "input": "tuna, koi", "output": "tuna", "small": "koi", "large": "tuna" }, "2109": { "input": "gorilla, koi", "output": "gorilla", "small": "koi", "large": "gorilla" }, "2110": { "input": "mule, koi", "output": "mule", "small": "koi", "large": "mule" }, "2111": { "input": "koi, manatee", "output": "manatee", "small": "koi", "large": "manatee" }, "2112": { "input": "sturgeon, koi", "output": "sturgeon", "small": "koi", "large": "sturgeon" }, "2113": { "input": "koi, camel", "output": "camel", "small": "koi", "large": "camel" }, "2114": { "input": "koi, elk", "output": "elk", "small": "koi", "large": "elk" }, "2115": { "input": "koi, horse", "output": "horse", "small": "koi", "large": "horse" }, "2116": { "input": "koi, cattle", "output": "cattle", "small": "koi", "large": "cattle" }, "2117": { "input": "koi, shark", "output": "shark", "small": "koi", "large": "shark" }, "2118": { "input": "koi, elephant", "output": "elephant", "small": "koi", "large": "elephant" }, "2119": { "input": "koi, giraffe", "output": "giraffe", "small": "koi", "large": "giraffe" }, "2120": { "input": "moose, koi", "output": "moose", "small": "koi", "large": "moose" }, "2121": { "input": "koi, crocodile", "output": "crocodile", "small": "koi", "large": "crocodile" }, "2122": { "input": "koi, liger", "output": "liger", "small": "koi", "large": "liger" }, "2123": { "input": "grizzly bear, koi", "output": "grizzly bear", "small": "koi", "large": "grizzly bear" }, "2124": { "input": "hippopotamus, koi", "output": "hippopotamus", "small": "koi", "large": "hippopotamus" }, "2125": { "input": "koi, whale shark", "output": "whale shark", "small": "koi", "large": "whale shark" }, "2126": { "input": "killer whale, koi", "output": "killer whale", "small": "koi", "large": "killer whale" }, "2127": { "input": "koi, great white shark", "output": "great white shark", "small": "koi", "large": "great white shark" }, "2128": { "input": "sperm whale, koi", "output": "sperm whale", "small": "koi", "large": "sperm whale" }, "2129": { "input": "koi, polar bear", "output": "polar bear", "small": "koi", "large": "polar bear" }, "2130": { "input": "koi, elephant", "output": "elephant", "small": "koi", "large": "elephant" }, "2131": { "input": "chamois, cockapoo", "output": "chamois", "small": "cockapoo", "large": "chamois" }, "2132": { "input": "cockapoo, chinook", "output": "chinook", "small": "cockapoo", "large": "chinook" }, "2133": { "input": "human, cockapoo", "output": "human", "small": "cockapoo", "large": "human" }, "2134": { "input": "cockapoo, octopus", "output": "octopus", "small": "cockapoo", "large": "octopus" }, "2135": { "input": "cockapoo, alpaca", "output": "alpaca", "small": "cockapoo", "large": "alpaca" }, "2136": { "input": "cockapoo, donkey", "output": "donkey", "small": "cockapoo", "large": "donkey" }, "2137": { "input": "cockapoo, pit bull", "output": "pit bull", "small": "cockapoo", "large": "pit bull" }, "2138": { "input": "bulldog, cockapoo", "output": "bulldog", "small": "cockapoo", "large": "bulldog" }, "2139": { "input": "goat, cockapoo", "output": "goat", "small": "cockapoo", "large": "goat" }, "2140": { "input": "cockapoo, greyhound", "output": "greyhound", "small": "cockapoo", "large": "greyhound" }, "2141": { "input": "wombat, cockapoo", "output": "wombat", "small": "cockapoo", "large": "wombat" }, "2142": { "input": "golden retriever, cockapoo", "output": "golden retriever", "small": "cockapoo", "large": "golden retriever" }, "2143": { "input": "leopard, cockapoo", "output": "leopard", "small": "cockapoo", "large": "leopard" }, "2144": { "input": "capybara, cockapoo", "output": "capybara", "small": "cockapoo", "large": "capybara" }, "2145": { "input": "boxer, cockapoo", "output": "boxer", "small": "cockapoo", "large": "boxer" }, "2146": { "input": "chimpanzee, cockapoo", "output": "chimpanzee", "small": "cockapoo", "large": "chimpanzee" }, "2147": { "input": "cougar, cockapoo", "output": "cougar", "small": "cockapoo", "large": "cougar" }, "2148": { "input": "tortoise, cockapoo", "output": "tortoise", "small": "cockapoo", "large": "tortoise" }, "2149": { "input": "deer, cockapoo", "output": "deer", "small": "cockapoo", "large": "deer" }, "2150": { "input": "wolf, cockapoo", "output": "wolf", "small": "cockapoo", "large": "wolf" }, "2151": { "input": "cockapoo, cheetah", "output": "cheetah", "small": "cockapoo", "large": "cheetah" }, "2152": { "input": "turtle, cockapoo", "output": "turtle", "small": "cockapoo", "large": "turtle" }, "2153": { "input": "orangutan, cockapoo", "output": "orangutan", "small": "cockapoo", "large": "orangutan" }, "2154": { "input": "wild boar, cockapoo", "output": "wild boar", "small": "cockapoo", "large": "wild boar" }, "2155": { "input": "cockapoo, bull shark", "output": "bull shark", "small": "cockapoo", "large": "bull shark" }, "2156": { "input": "cockapoo, llama", "output": "llama", "small": "cockapoo", "large": "llama" }, "2157": { "input": "cockapoo, bear", "output": "bear", "small": "cockapoo", "large": "bear" }, "2158": { "input": "cockapoo, pony", "output": "pony", "small": "cockapoo", "large": "pony" }, "2159": { "input": "tiger, cockapoo", "output": "tiger", "small": "cockapoo", "large": "tiger" }, "2160": { "input": "sea lion, cockapoo", "output": "sea lion", "small": "cockapoo", "large": "sea lion" }, "2161": { "input": "cockapoo, jaguar", "output": "jaguar", "small": "cockapoo", "large": "jaguar" }, "2162": { "input": "cockapoo, lion", "output": "lion", "small": "cockapoo", "large": "lion" }, "2163": { "input": "wildebeest, cockapoo", "output": "wildebeest", "small": "cockapoo", "large": "wildebeest" }, "2164": { "input": "tuna, cockapoo", "output": "tuna", "small": "cockapoo", "large": "tuna" }, "2165": { "input": "cockapoo, gorilla", "output": "gorilla", "small": "cockapoo", "large": "gorilla" }, "2166": { "input": "mule, cockapoo", "output": "mule", "small": "cockapoo", "large": "mule" }, "2167": { "input": "cockapoo, manatee", "output": "manatee", "small": "cockapoo", "large": "manatee" }, "2168": { "input": "sturgeon, cockapoo", "output": "sturgeon", "small": "cockapoo", "large": "sturgeon" }, "2169": { "input": "cockapoo, camel", "output": "camel", "small": "cockapoo", "large": "camel" }, "2170": { "input": "cockapoo, elk", "output": "elk", "small": "cockapoo", "large": "elk" }, "2171": { "input": "horse, cockapoo", "output": "horse", "small": "cockapoo", "large": "horse" }, "2172": { "input": "cattle, cockapoo", "output": "cattle", "small": "cockapoo", "large": "cattle" }, "2173": { "input": "cockapoo, shark", "output": "shark", "small": "cockapoo", "large": "shark" }, "2174": { "input": "cockapoo, elephant", "output": "elephant", "small": "cockapoo", "large": "elephant" }, "2175": { "input": "cockapoo, giraffe", "output": "giraffe", "small": "cockapoo", "large": "giraffe" }, "2176": { "input": "cockapoo, moose", "output": "moose", "small": "cockapoo", "large": "moose" }, "2177": { "input": "crocodile, cockapoo", "output": "crocodile", "small": "cockapoo", "large": "crocodile" }, "2178": { "input": "liger, cockapoo", "output": "liger", "small": "cockapoo", "large": "liger" }, "2179": { "input": "grizzly bear, cockapoo", "output": "grizzly bear", "small": "cockapoo", "large": "grizzly bear" }, "2180": { "input": "cockapoo, hippopotamus", "output": "hippopotamus", "small": "cockapoo", "large": "hippopotamus" }, "2181": { "input": "whale shark, cockapoo", "output": "whale shark", "small": "cockapoo", "large": "whale shark" }, "2182": { "input": "killer whale, cockapoo", "output": "killer whale", "small": "cockapoo", "large": "killer whale" }, "2183": { "input": "cockapoo, great white shark", "output": "great white shark", "small": "cockapoo", "large": "great white shark" }, "2184": { "input": "cockapoo, sperm whale", "output": "sperm whale", "small": "cockapoo", "large": "sperm whale" }, "2185": { "input": "polar bear, cockapoo", "output": "polar bear", "small": "cockapoo", "large": "polar bear" }, "2186": { "input": "elephant, cockapoo", "output": "elephant", "small": "cockapoo", "large": "elephant" }, "2187": { "input": "chamois, puppy", "output": "chamois", "small": "puppy", "large": "chamois" }, "2188": { "input": "chinook, puppy", "output": "chinook", "small": "puppy", "large": "chinook" }, "2189": { "input": "human, puppy", "output": "human", "small": "puppy", "large": "human" }, "2190": { "input": "puppy, octopus", "output": "octopus", "small": "puppy", "large": "octopus" }, "2191": { "input": "alpaca, puppy", "output": "alpaca", "small": "puppy", "large": "alpaca" }, "2192": { "input": "donkey, puppy", "output": "donkey", "small": "puppy", "large": "donkey" }, "2193": { "input": "puppy, pit bull", "output": "pit bull", "small": "puppy", "large": "pit bull" }, "2194": { "input": "puppy, bulldog", "output": "bulldog", "small": "puppy", "large": "bulldog" }, "2195": { "input": "puppy, goat", "output": "goat", "small": "puppy", "large": "goat" }, "2196": { "input": "puppy, greyhound", "output": "greyhound", "small": "puppy", "large": "greyhound" }, "2197": { "input": "puppy, wombat", "output": "wombat", "small": "puppy", "large": "wombat" }, "2198": { "input": "puppy, golden retriever", "output": "golden retriever", "small": "puppy", "large": "golden retriever" }, "2199": { "input": "puppy, leopard", "output": "leopard", "small": "puppy", "large": "leopard" }, "2200": { "input": "capybara, puppy", "output": "capybara", "small": "puppy", "large": "capybara" }, "2201": { "input": "boxer, puppy", "output": "boxer", "small": "puppy", "large": "boxer" }, "2202": { "input": "puppy, chimpanzee", "output": "chimpanzee", "small": "puppy", "large": "chimpanzee" }, "2203": { "input": "puppy, cougar", "output": "cougar", "small": "puppy", "large": "cougar" }, "2204": { "input": "puppy, tortoise", "output": "tortoise", "small": "puppy", "large": "tortoise" }, "2205": { "input": "puppy, deer", "output": "deer", "small": "puppy", "large": "deer" }, "2206": { "input": "wolf, puppy", "output": "wolf", "small": "puppy", "large": "wolf" }, "2207": { "input": "cheetah, puppy", "output": "cheetah", "small": "puppy", "large": "cheetah" }, "2208": { "input": "turtle, puppy", "output": "turtle", "small": "puppy", "large": "turtle" }, "2209": { "input": "orangutan, puppy", "output": "orangutan", "small": "puppy", "large": "orangutan" }, "2210": { "input": "wild boar, puppy", "output": "wild boar", "small": "puppy", "large": "wild boar" }, "2211": { "input": "puppy, bull shark", "output": "bull shark", "small": "puppy", "large": "bull shark" }, "2212": { "input": "llama, puppy", "output": "llama", "small": "puppy", "large": "llama" }, "2213": { "input": "bear, puppy", "output": "bear", "small": "puppy", "large": "bear" }, "2214": { "input": "pony, puppy", "output": "pony", "small": "puppy", "large": "pony" }, "2215": { "input": "puppy, tiger", "output": "tiger", "small": "puppy", "large": "tiger" }, "2216": { "input": "puppy, sea lion", "output": "sea lion", "small": "puppy", "large": "sea lion" }, "2217": { "input": "jaguar, puppy", "output": "jaguar", "small": "puppy", "large": "jaguar" }, "2218": { "input": "lion, puppy", "output": "lion", "small": "puppy", "large": "lion" }, "2219": { "input": "wildebeest, puppy", "output": "wildebeest", "small": "puppy", "large": "wildebeest" }, "2220": { "input": "puppy, tuna", "output": "tuna", "small": "puppy", "large": "tuna" }, "2221": { "input": "gorilla, puppy", "output": "gorilla", "small": "puppy", "large": "gorilla" }, "2222": { "input": "puppy, mule", "output": "mule", "small": "puppy", "large": "mule" }, "2223": { "input": "manatee, puppy", "output": "manatee", "small": "puppy", "large": "manatee" }, "2224": { "input": "sturgeon, puppy", "output": "sturgeon", "small": "puppy", "large": "sturgeon" }, "2225": { "input": "camel, puppy", "output": "camel", "small": "puppy", "large": "camel" }, "2226": { "input": "elk, puppy", "output": "elk", "small": "puppy", "large": "elk" }, "2227": { "input": "puppy, horse", "output": "horse", "small": "puppy", "large": "horse" }, "2228": { "input": "puppy, cattle", "output": "cattle", "small": "puppy", "large": "cattle" }, "2229": { "input": "shark, puppy", "output": "shark", "small": "puppy", "large": "shark" }, "2230": { "input": "elephant, puppy", "output": "elephant", "small": "puppy", "large": "elephant" }, "2231": { "input": "puppy, giraffe", "output": "giraffe", "small": "puppy", "large": "giraffe" }, "2232": { "input": "puppy, moose", "output": "moose", "small": "puppy", "large": "moose" }, "2233": { "input": "puppy, crocodile", "output": "crocodile", "small": "puppy", "large": "crocodile" }, "2234": { "input": "liger, puppy", "output": "liger", "small": "puppy", "large": "liger" }, "2235": { "input": "grizzly bear, puppy", "output": "grizzly bear", "small": "puppy", "large": "grizzly bear" }, "2236": { "input": "hippopotamus, puppy", "output": "hippopotamus", "small": "puppy", "large": "hippopotamus" }, "2237": { "input": "puppy, whale shark", "output": "whale shark", "small": "puppy", "large": "whale shark" }, "2238": { "input": "killer whale, puppy", "output": "killer whale", "small": "puppy", "large": "killer whale" }, "2239": { "input": "great white shark, puppy", "output": "great white shark", "small": "puppy", "large": "great white shark" }, "2240": { "input": "sperm whale, puppy", "output": "sperm whale", "small": "puppy", "large": "sperm whale" }, "2241": { "input": "puppy, polar bear", "output": "polar bear", "small": "puppy", "large": "polar bear" }, "2242": { "input": "elephant, puppy", "output": "elephant", "small": "puppy", "large": "elephant" }, "2243": { "input": "raccoon, chamois", "output": "chamois", "small": "raccoon", "large": "chamois" }, "2244": { "input": "raccoon, chinook", "output": "chinook", "small": "raccoon", "large": "chinook" }, "2245": { "input": "raccoon, human", "output": "human", "small": "raccoon", "large": "human" }, "2246": { "input": "raccoon, octopus", "output": "octopus", "small": "raccoon", "large": "octopus" }, "2247": { "input": "raccoon, alpaca", "output": "alpaca", "small": "raccoon", "large": "alpaca" }, "2248": { "input": "donkey, raccoon", "output": "donkey", "small": "raccoon", "large": "donkey" }, "2249": { "input": "raccoon, pit bull", "output": "pit bull", "small": "raccoon", "large": "pit bull" }, "2250": { "input": "bulldog, raccoon", "output": "bulldog", "small": "raccoon", "large": "bulldog" }, "2251": { "input": "raccoon, goat", "output": "goat", "small": "raccoon", "large": "goat" }, "2252": { "input": "greyhound, raccoon", "output": "greyhound", "small": "raccoon", "large": "greyhound" }, "2253": { "input": "wombat, raccoon", "output": "wombat", "small": "raccoon", "large": "wombat" }, "2254": { "input": "raccoon, golden retriever", "output": "golden retriever", "small": "raccoon", "large": "golden retriever" }, "2255": { "input": "raccoon, leopard", "output": "leopard", "small": "raccoon", "large": "leopard" }, "2256": { "input": "raccoon, capybara", "output": "capybara", "small": "raccoon", "large": "capybara" }, "2257": { "input": "boxer, raccoon", "output": "boxer", "small": "raccoon", "large": "boxer" }, "2258": { "input": "raccoon, chimpanzee", "output": "chimpanzee", "small": "raccoon", "large": "chimpanzee" }, "2259": { "input": "cougar, raccoon", "output": "cougar", "small": "raccoon", "large": "cougar" }, "2260": { "input": "raccoon, tortoise", "output": "tortoise", "small": "raccoon", "large": "tortoise" }, "2261": { "input": "deer, raccoon", "output": "deer", "small": "raccoon", "large": "deer" }, "2262": { "input": "raccoon, wolf", "output": "wolf", "small": "raccoon", "large": "wolf" }, "2263": { "input": "cheetah, raccoon", "output": "cheetah", "small": "raccoon", "large": "cheetah" }, "2264": { "input": "turtle, raccoon", "output": "turtle", "small": "raccoon", "large": "turtle" }, "2265": { "input": "orangutan, raccoon", "output": "orangutan", "small": "raccoon", "large": "orangutan" }, "2266": { "input": "raccoon, wild boar", "output": "wild boar", "small": "raccoon", "large": "wild boar" }, "2267": { "input": "bull shark, raccoon", "output": "bull shark", "small": "raccoon", "large": "bull shark" }, "2268": { "input": "llama, raccoon", "output": "llama", "small": "raccoon", "large": "llama" }, "2269": { "input": "bear, raccoon", "output": "bear", "small": "raccoon", "large": "bear" }, "2270": { "input": "pony, raccoon", "output": "pony", "small": "raccoon", "large": "pony" }, "2271": { "input": "raccoon, tiger", "output": "tiger", "small": "raccoon", "large": "tiger" }, "2272": { "input": "raccoon, sea lion", "output": "sea lion", "small": "raccoon", "large": "sea lion" }, "2273": { "input": "raccoon, jaguar", "output": "jaguar", "small": "raccoon", "large": "jaguar" }, "2274": { "input": "lion, raccoon", "output": "lion", "small": "raccoon", "large": "lion" }, "2275": { "input": "wildebeest, raccoon", "output": "wildebeest", "small": "raccoon", "large": "wildebeest" }, "2276": { "input": "tuna, raccoon", "output": "tuna", "small": "raccoon", "large": "tuna" }, "2277": { "input": "raccoon, gorilla", "output": "gorilla", "small": "raccoon", "large": "gorilla" }, "2278": { "input": "mule, raccoon", "output": "mule", "small": "raccoon", "large": "mule" }, "2279": { "input": "raccoon, manatee", "output": "manatee", "small": "raccoon", "large": "manatee" }, "2280": { "input": "sturgeon, raccoon", "output": "sturgeon", "small": "raccoon", "large": "sturgeon" }, "2281": { "input": "camel, raccoon", "output": "camel", "small": "raccoon", "large": "camel" }, "2282": { "input": "elk, raccoon", "output": "elk", "small": "raccoon", "large": "elk" }, "2283": { "input": "raccoon, horse", "output": "horse", "small": "raccoon", "large": "horse" }, "2284": { "input": "cattle, raccoon", "output": "cattle", "small": "raccoon", "large": "cattle" }, "2285": { "input": "shark, raccoon", "output": "shark", "small": "raccoon", "large": "shark" }, "2286": { "input": "elephant, raccoon", "output": "elephant", "small": "raccoon", "large": "elephant" }, "2287": { "input": "giraffe, raccoon", "output": "giraffe", "small": "raccoon", "large": "giraffe" }, "2288": { "input": "raccoon, moose", "output": "moose", "small": "raccoon", "large": "moose" }, "2289": { "input": "raccoon, crocodile", "output": "crocodile", "small": "raccoon", "large": "crocodile" }, "2290": { "input": "raccoon, liger", "output": "liger", "small": "raccoon", "large": "liger" }, "2291": { "input": "grizzly bear, raccoon", "output": "grizzly bear", "small": "raccoon", "large": "grizzly bear" }, "2292": { "input": "raccoon, hippopotamus", "output": "hippopotamus", "small": "raccoon", "large": "hippopotamus" }, "2293": { "input": "raccoon, whale shark", "output": "whale shark", "small": "raccoon", "large": "whale shark" }, "2294": { "input": "raccoon, killer whale", "output": "killer whale", "small": "raccoon", "large": "killer whale" }, "2295": { "input": "great white shark, raccoon", "output": "great white shark", "small": "raccoon", "large": "great white shark" }, "2296": { "input": "raccoon, sperm whale", "output": "sperm whale", "small": "raccoon", "large": "sperm whale" }, "2297": { "input": "raccoon, polar bear", "output": "polar bear", "small": "raccoon", "large": "polar bear" }, "2298": { "input": "elephant, raccoon", "output": "elephant", "small": "raccoon", "large": "elephant" }, "2299": { "input": "common carp, chamois", "output": "chamois", "small": "common carp", "large": "chamois" }, "2300": { "input": "common carp, chinook", "output": "chinook", "small": "common carp", "large": "chinook" }, "2301": { "input": "common carp, human", "output": "human", "small": "common carp", "large": "human" }, "2302": { "input": "octopus, common carp", "output": "octopus", "small": "common carp", "large": "octopus" }, "2303": { "input": "common carp, alpaca", "output": "alpaca", "small": "common carp", "large": "alpaca" }, "2304": { "input": "donkey, common carp", "output": "donkey", "small": "common carp", "large": "donkey" }, "2305": { "input": "pit bull, common carp", "output": "pit bull", "small": "common carp", "large": "pit bull" }, "2306": { "input": "common carp, bulldog", "output": "bulldog", "small": "common carp", "large": "bulldog" }, "2307": { "input": "common carp, goat", "output": "goat", "small": "common carp", "large": "goat" }, "2308": { "input": "greyhound, common carp", "output": "greyhound", "small": "common carp", "large": "greyhound" }, "2309": { "input": "wombat, common carp", "output": "wombat", "small": "common carp", "large": "wombat" }, "2310": { "input": "golden retriever, common carp", "output": "golden retriever", "small": "common carp", "large": "golden retriever" }, "2311": { "input": "common carp, leopard", "output": "leopard", "small": "common carp", "large": "leopard" }, "2312": { "input": "capybara, common carp", "output": "capybara", "small": "common carp", "large": "capybara" }, "2313": { "input": "common carp, boxer", "output": "boxer", "small": "common carp", "large": "boxer" }, "2314": { "input": "chimpanzee, common carp", "output": "chimpanzee", "small": "common carp", "large": "chimpanzee" }, "2315": { "input": "common carp, cougar", "output": "cougar", "small": "common carp", "large": "cougar" }, "2316": { "input": "common carp, tortoise", "output": "tortoise", "small": "common carp", "large": "tortoise" }, "2317": { "input": "deer, common carp", "output": "deer", "small": "common carp", "large": "deer" }, "2318": { "input": "wolf, common carp", "output": "wolf", "small": "common carp", "large": "wolf" }, "2319": { "input": "common carp, cheetah", "output": "cheetah", "small": "common carp", "large": "cheetah" }, "2320": { "input": "common carp, turtle", "output": "turtle", "small": "common carp", "large": "turtle" }, "2321": { "input": "orangutan, common carp", "output": "orangutan", "small": "common carp", "large": "orangutan" }, "2322": { "input": "wild boar, common carp", "output": "wild boar", "small": "common carp", "large": "wild boar" }, "2323": { "input": "common carp, bull shark", "output": "bull shark", "small": "common carp", "large": "bull shark" }, "2324": { "input": "common carp, llama", "output": "llama", "small": "common carp", "large": "llama" }, "2325": { "input": "bear, common carp", "output": "bear", "small": "common carp", "large": "bear" }, "2326": { "input": "common carp, pony", "output": "pony", "small": "common carp", "large": "pony" }, "2327": { "input": "tiger, common carp", "output": "tiger", "small": "common carp", "large": "tiger" }, "2328": { "input": "common carp, sea lion", "output": "sea lion", "small": "common carp", "large": "sea lion" }, "2329": { "input": "jaguar, common carp", "output": "jaguar", "small": "common carp", "large": "jaguar" }, "2330": { "input": "common carp, lion", "output": "lion", "small": "common carp", "large": "lion" }, "2331": { "input": "common carp, wildebeest", "output": "wildebeest", "small": "common carp", "large": "wildebeest" }, "2332": { "input": "tuna, common carp", "output": "tuna", "small": "common carp", "large": "tuna" }, "2333": { "input": "common carp, gorilla", "output": "gorilla", "small": "common carp", "large": "gorilla" }, "2334": { "input": "mule, common carp", "output": "mule", "small": "common carp", "large": "mule" }, "2335": { "input": "common carp, manatee", "output": "manatee", "small": "common carp", "large": "manatee" }, "2336": { "input": "common carp, sturgeon", "output": "sturgeon", "small": "common carp", "large": "sturgeon" }, "2337": { "input": "camel, common carp", "output": "camel", "small": "common carp", "large": "camel" }, "2338": { "input": "common carp, elk", "output": "elk", "small": "common carp", "large": "elk" }, "2339": { "input": "common carp, horse", "output": "horse", "small": "common carp", "large": "horse" }, "2340": { "input": "cattle, common carp", "output": "cattle", "small": "common carp", "large": "cattle" }, "2341": { "input": "common carp, shark", "output": "shark", "small": "common carp", "large": "shark" }, "2342": { "input": "common carp, elephant", "output": "elephant", "small": "common carp", "large": "elephant" }, "2343": { "input": "giraffe, common carp", "output": "giraffe", "small": "common carp", "large": "giraffe" }, "2344": { "input": "common carp, moose", "output": "moose", "small": "common carp", "large": "moose" }, "2345": { "input": "crocodile, common carp", "output": "crocodile", "small": "common carp", "large": "crocodile" }, "2346": { "input": "common carp, liger", "output": "liger", "small": "common carp", "large": "liger" }, "2347": { "input": "grizzly bear, common carp", "output": "grizzly bear", "small": "common carp", "large": "grizzly bear" }, "2348": { "input": "hippopotamus, common carp", "output": "hippopotamus", "small": "common carp", "large": "hippopotamus" }, "2349": { "input": "common carp, whale shark", "output": "whale shark", "small": "common carp", "large": "whale shark" }, "2350": { "input": "killer whale, common carp", "output": "killer whale", "small": "common carp", "large": "killer whale" }, "2351": { "input": "great white shark, common carp", "output": "great white shark", "small": "common carp", "large": "great white shark" }, "2352": { "input": "common carp, sperm whale", "output": "sperm whale", "small": "common carp", "large": "sperm whale" }, "2353": { "input": "common carp, polar bear", "output": "polar bear", "small": "common carp", "large": "polar bear" }, "2354": { "input": "elephant, common carp", "output": "elephant", "small": "common carp", "large": "elephant" }, "2355": { "input": "chamois, pug", "output": "chamois", "small": "pug", "large": "chamois" }, "2356": { "input": "chinook, pug", "output": "chinook", "small": "pug", "large": "chinook" }, "2357": { "input": "human, pug", "output": "human", "small": "pug", "large": "human" }, "2358": { "input": "octopus, pug", "output": "octopus", "small": "pug", "large": "octopus" }, "2359": { "input": "alpaca, pug", "output": "alpaca", "small": "pug", "large": "alpaca" }, "2360": { "input": "pug, donkey", "output": "donkey", "small": "pug", "large": "donkey" }, "2361": { "input": "pug, pit bull", "output": "pit bull", "small": "pug", "large": "pit bull" }, "2362": { "input": "bulldog, pug", "output": "bulldog", "small": "pug", "large": "bulldog" }, "2363": { "input": "goat, pug", "output": "goat", "small": "pug", "large": "goat" }, "2364": { "input": "greyhound, pug", "output": "greyhound", "small": "pug", "large": "greyhound" }, "2365": { "input": "pug, wombat", "output": "wombat", "small": "pug", "large": "wombat" }, "2366": { "input": "pug, golden retriever", "output": "golden retriever", "small": "pug", "large": "golden retriever" }, "2367": { "input": "pug, leopard", "output": "leopard", "small": "pug", "large": "leopard" }, "2368": { "input": "pug, capybara", "output": "capybara", "small": "pug", "large": "capybara" }, "2369": { "input": "boxer, pug", "output": "boxer", "small": "pug", "large": "boxer" }, "2370": { "input": "pug, chimpanzee", "output": "chimpanzee", "small": "pug", "large": "chimpanzee" }, "2371": { "input": "cougar, pug", "output": "cougar", "small": "pug", "large": "cougar" }, "2372": { "input": "tortoise, pug", "output": "tortoise", "small": "pug", "large": "tortoise" }, "2373": { "input": "deer, pug", "output": "deer", "small": "pug", "large": "deer" }, "2374": { "input": "pug, wolf", "output": "wolf", "small": "pug", "large": "wolf" }, "2375": { "input": "cheetah, pug", "output": "cheetah", "small": "pug", "large": "cheetah" }, "2376": { "input": "turtle, pug", "output": "turtle", "small": "pug", "large": "turtle" }, "2377": { "input": "pug, orangutan", "output": "orangutan", "small": "pug", "large": "orangutan" }, "2378": { "input": "pug, wild boar", "output": "wild boar", "small": "pug", "large": "wild boar" }, "2379": { "input": "bull shark, pug", "output": "bull shark", "small": "pug", "large": "bull shark" }, "2380": { "input": "llama, pug", "output": "llama", "small": "pug", "large": "llama" }, "2381": { "input": "pug, bear", "output": "bear", "small": "pug", "large": "bear" }, "2382": { "input": "pug, pony", "output": "pony", "small": "pug", "large": "pony" }, "2383": { "input": "pug, tiger", "output": "tiger", "small": "pug", "large": "tiger" }, "2384": { "input": "sea lion, pug", "output": "sea lion", "small": "pug", "large": "sea lion" }, "2385": { "input": "pug, jaguar", "output": "jaguar", "small": "pug", "large": "jaguar" }, "2386": { "input": "pug, lion", "output": "lion", "small": "pug", "large": "lion" }, "2387": { "input": "pug, wildebeest", "output": "wildebeest", "small": "pug", "large": "wildebeest" }, "2388": { "input": "pug, tuna", "output": "tuna", "small": "pug", "large": "tuna" }, "2389": { "input": "gorilla, pug", "output": "gorilla", "small": "pug", "large": "gorilla" }, "2390": { "input": "mule, pug", "output": "mule", "small": "pug", "large": "mule" }, "2391": { "input": "manatee, pug", "output": "manatee", "small": "pug", "large": "manatee" }, "2392": { "input": "pug, sturgeon", "output": "sturgeon", "small": "pug", "large": "sturgeon" }, "2393": { "input": "camel, pug", "output": "camel", "small": "pug", "large": "camel" }, "2394": { "input": "pug, elk", "output": "elk", "small": "pug", "large": "elk" }, "2395": { "input": "pug, horse", "output": "horse", "small": "pug", "large": "horse" }, "2396": { "input": "pug, cattle", "output": "cattle", "small": "pug", "large": "cattle" }, "2397": { "input": "pug, shark", "output": "shark", "small": "pug", "large": "shark" }, "2398": { "input": "elephant, pug", "output": "elephant", "small": "pug", "large": "elephant" }, "2399": { "input": "pug, giraffe", "output": "giraffe", "small": "pug", "large": "giraffe" }, "2400": { "input": "pug, moose", "output": "moose", "small": "pug", "large": "moose" }, "2401": { "input": "crocodile, pug", "output": "crocodile", "small": "pug", "large": "crocodile" }, "2402": { "input": "pug, liger", "output": "liger", "small": "pug", "large": "liger" }, "2403": { "input": "pug, grizzly bear", "output": "grizzly bear", "small": "pug", "large": "grizzly bear" }, "2404": { "input": "pug, hippopotamus", "output": "hippopotamus", "small": "pug", "large": "hippopotamus" }, "2405": { "input": "pug, whale shark", "output": "whale shark", "small": "pug", "large": "whale shark" }, "2406": { "input": "pug, killer whale", "output": "killer whale", "small": "pug", "large": "killer whale" }, "2407": { "input": "great white shark, pug", "output": "great white shark", "small": "pug", "large": "great white shark" }, "2408": { "input": "pug, sperm whale", "output": "sperm whale", "small": "pug", "large": "sperm whale" }, "2409": { "input": "pug, polar bear", "output": "polar bear", "small": "pug", "large": "polar bear" }, "2410": { "input": "elephant, pug", "output": "elephant", "small": "pug", "large": "elephant" }, "2411": { "input": "chamois, rat terrier", "output": "chamois", "small": "rat terrier", "large": "chamois" }, "2412": { "input": "rat terrier, chinook", "output": "chinook", "small": "rat terrier", "large": "chinook" }, "2413": { "input": "human, rat terrier", "output": "human", "small": "rat terrier", "large": "human" }, "2414": { "input": "rat terrier, octopus", "output": "octopus", "small": "rat terrier", "large": "octopus" }, "2415": { "input": "rat terrier, alpaca", "output": "alpaca", "small": "rat terrier", "large": "alpaca" }, "2416": { "input": "donkey, rat terrier", "output": "donkey", "small": "rat terrier", "large": "donkey" }, "2417": { "input": "pit bull, rat terrier", "output": "pit bull", "small": "rat terrier", "large": "pit bull" }, "2418": { "input": "rat terrier, bulldog", "output": "bulldog", "small": "rat terrier", "large": "bulldog" }, "2419": { "input": "goat, rat terrier", "output": "goat", "small": "rat terrier", "large": "goat" }, "2420": { "input": "rat terrier, greyhound", "output": "greyhound", "small": "rat terrier", "large": "greyhound" }, "2421": { "input": "rat terrier, wombat", "output": "wombat", "small": "rat terrier", "large": "wombat" }, "2422": { "input": "golden retriever, rat terrier", "output": "golden retriever", "small": "rat terrier", "large": "golden retriever" }, "2423": { "input": "leopard, rat terrier", "output": "leopard", "small": "rat terrier", "large": "leopard" }, "2424": { "input": "rat terrier, capybara", "output": "capybara", "small": "rat terrier", "large": "capybara" }, "2425": { "input": "boxer, rat terrier", "output": "boxer", "small": "rat terrier", "large": "boxer" }, "2426": { "input": "rat terrier, chimpanzee", "output": "chimpanzee", "small": "rat terrier", "large": "chimpanzee" }, "2427": { "input": "rat terrier, cougar", "output": "cougar", "small": "rat terrier", "large": "cougar" }, "2428": { "input": "rat terrier, tortoise", "output": "tortoise", "small": "rat terrier", "large": "tortoise" }, "2429": { "input": "rat terrier, deer", "output": "deer", "small": "rat terrier", "large": "deer" }, "2430": { "input": "wolf, rat terrier", "output": "wolf", "small": "rat terrier", "large": "wolf" }, "2431": { "input": "cheetah, rat terrier", "output": "cheetah", "small": "rat terrier", "large": "cheetah" }, "2432": { "input": "turtle, rat terrier", "output": "turtle", "small": "rat terrier", "large": "turtle" }, "2433": { "input": "orangutan, rat terrier", "output": "orangutan", "small": "rat terrier", "large": "orangutan" }, "2434": { "input": "wild boar, rat terrier", "output": "wild boar", "small": "rat terrier", "large": "wild boar" }, "2435": { "input": "rat terrier, bull shark", "output": "bull shark", "small": "rat terrier", "large": "bull shark" }, "2436": { "input": "llama, rat terrier", "output": "llama", "small": "rat terrier", "large": "llama" }, "2437": { "input": "bear, rat terrier", "output": "bear", "small": "rat terrier", "large": "bear" }, "2438": { "input": "rat terrier, pony", "output": "pony", "small": "rat terrier", "large": "pony" }, "2439": { "input": "tiger, rat terrier", "output": "tiger", "small": "rat terrier", "large": "tiger" }, "2440": { "input": "sea lion, rat terrier", "output": "sea lion", "small": "rat terrier", "large": "sea lion" }, "2441": { "input": "jaguar, rat terrier", "output": "jaguar", "small": "rat terrier", "large": "jaguar" }, "2442": { "input": "lion, rat terrier", "output": "lion", "small": "rat terrier", "large": "lion" }, "2443": { "input": "rat terrier, wildebeest", "output": "wildebeest", "small": "rat terrier", "large": "wildebeest" }, "2444": { "input": "rat terrier, tuna", "output": "tuna", "small": "rat terrier", "large": "tuna" }, "2445": { "input": "gorilla, rat terrier", "output": "gorilla", "small": "rat terrier", "large": "gorilla" }, "2446": { "input": "mule, rat terrier", "output": "mule", "small": "rat terrier", "large": "mule" }, "2447": { "input": "manatee, rat terrier", "output": "manatee", "small": "rat terrier", "large": "manatee" }, "2448": { "input": "sturgeon, rat terrier", "output": "sturgeon", "small": "rat terrier", "large": "sturgeon" }, "2449": { "input": "camel, rat terrier", "output": "camel", "small": "rat terrier", "large": "camel" }, "2450": { "input": "elk, rat terrier", "output": "elk", "small": "rat terrier", "large": "elk" }, "2451": { "input": "rat terrier, horse", "output": "horse", "small": "rat terrier", "large": "horse" }, "2452": { "input": "rat terrier, cattle", "output": "cattle", "small": "rat terrier", "large": "cattle" }, "2453": { "input": "rat terrier, shark", "output": "shark", "small": "rat terrier", "large": "shark" }, "2454": { "input": "elephant, rat terrier", "output": "elephant", "small": "rat terrier", "large": "elephant" }, "2455": { "input": "rat terrier, giraffe", "output": "giraffe", "small": "rat terrier", "large": "giraffe" }, "2456": { "input": "rat terrier, moose", "output": "moose", "small": "rat terrier", "large": "moose" }, "2457": { "input": "rat terrier, crocodile", "output": "crocodile", "small": "rat terrier", "large": "crocodile" }, "2458": { "input": "rat terrier, liger", "output": "liger", "small": "rat terrier", "large": "liger" }, "2459": { "input": "rat terrier, grizzly bear", "output": "grizzly bear", "small": "rat terrier", "large": "grizzly bear" }, "2460": { "input": "rat terrier, hippopotamus", "output": "hippopotamus", "small": "rat terrier", "large": "hippopotamus" }, "2461": { "input": "rat terrier, whale shark", "output": "whale shark", "small": "rat terrier", "large": "whale shark" }, "2462": { "input": "rat terrier, killer whale", "output": "killer whale", "small": "rat terrier", "large": "killer whale" }, "2463": { "input": "great white shark, rat terrier", "output": "great white shark", "small": "rat terrier", "large": "great white shark" }, "2464": { "input": "sperm whale, rat terrier", "output": "sperm whale", "small": "rat terrier", "large": "sperm whale" }, "2465": { "input": "rat terrier, polar bear", "output": "polar bear", "small": "rat terrier", "large": "polar bear" }, "2466": { "input": "elephant, rat terrier", "output": "elephant", "small": "rat terrier", "large": "elephant" }, "2467": { "input": "chamois, racoon", "output": "chamois", "small": "racoon", "large": "chamois" }, "2468": { "input": "chinook, racoon", "output": "chinook", "small": "racoon", "large": "chinook" }, "2469": { "input": "human, racoon", "output": "human", "small": "racoon", "large": "human" }, "2470": { "input": "octopus, racoon", "output": "octopus", "small": "racoon", "large": "octopus" }, "2471": { "input": "alpaca, racoon", "output": "alpaca", "small": "racoon", "large": "alpaca" }, "2472": { "input": "donkey, racoon", "output": "donkey", "small": "racoon", "large": "donkey" }, "2473": { "input": "racoon, pit bull", "output": "pit bull", "small": "racoon", "large": "pit bull" }, "2474": { "input": "racoon, bulldog", "output": "bulldog", "small": "racoon", "large": "bulldog" }, "2475": { "input": "racoon, goat", "output": "goat", "small": "racoon", "large": "goat" }, "2476": { "input": "greyhound, racoon", "output": "greyhound", "small": "racoon", "large": "greyhound" }, "2477": { "input": "racoon, wombat", "output": "wombat", "small": "racoon", "large": "wombat" }, "2478": { "input": "golden retriever, racoon", "output": "golden retriever", "small": "racoon", "large": "golden retriever" }, "2479": { "input": "racoon, leopard", "output": "leopard", "small": "racoon", "large": "leopard" }, "2480": { "input": "racoon, capybara", "output": "capybara", "small": "racoon", "large": "capybara" }, "2481": { "input": "racoon, boxer", "output": "boxer", "small": "racoon", "large": "boxer" }, "2482": { "input": "chimpanzee, racoon", "output": "chimpanzee", "small": "racoon", "large": "chimpanzee" }, "2483": { "input": "cougar, racoon", "output": "cougar", "small": "racoon", "large": "cougar" }, "2484": { "input": "tortoise, racoon", "output": "tortoise", "small": "racoon", "large": "tortoise" }, "2485": { "input": "racoon, deer", "output": "deer", "small": "racoon", "large": "deer" }, "2486": { "input": "racoon, wolf", "output": "wolf", "small": "racoon", "large": "wolf" }, "2487": { "input": "cheetah, racoon", "output": "cheetah", "small": "racoon", "large": "cheetah" }, "2488": { "input": "turtle, racoon", "output": "turtle", "small": "racoon", "large": "turtle" }, "2489": { "input": "racoon, orangutan", "output": "orangutan", "small": "racoon", "large": "orangutan" }, "2490": { "input": "wild boar, racoon", "output": "wild boar", "small": "racoon", "large": "wild boar" }, "2491": { "input": "racoon, bull shark", "output": "bull shark", "small": "racoon", "large": "bull shark" }, "2492": { "input": "racoon, llama", "output": "llama", "small": "racoon", "large": "llama" }, "2493": { "input": "bear, racoon", "output": "bear", "small": "racoon", "large": "bear" }, "2494": { "input": "racoon, pony", "output": "pony", "small": "racoon", "large": "pony" }, "2495": { "input": "tiger, racoon", "output": "tiger", "small": "racoon", "large": "tiger" }, "2496": { "input": "sea lion, racoon", "output": "sea lion", "small": "racoon", "large": "sea lion" }, "2497": { "input": "jaguar, racoon", "output": "jaguar", "small": "racoon", "large": "jaguar" }, "2498": { "input": "racoon, lion", "output": "lion", "small": "racoon", "large": "lion" }, "2499": { "input": "racoon, wildebeest", "output": "wildebeest", "small": "racoon", "large": "wildebeest" }, "2500": { "input": "tuna, racoon", "output": "tuna", "small": "racoon", "large": "tuna" }, "2501": { "input": "gorilla, racoon", "output": "gorilla", "small": "racoon", "large": "gorilla" }, "2502": { "input": "mule, racoon", "output": "mule", "small": "racoon", "large": "mule" }, "2503": { "input": "racoon, manatee", "output": "manatee", "small": "racoon", "large": "manatee" }, "2504": { "input": "sturgeon, racoon", "output": "sturgeon", "small": "racoon", "large": "sturgeon" }, "2505": { "input": "camel, racoon", "output": "camel", "small": "racoon", "large": "camel" }, "2506": { "input": "racoon, elk", "output": "elk", "small": "racoon", "large": "elk" }, "2507": { "input": "horse, racoon", "output": "horse", "small": "racoon", "large": "horse" }, "2508": { "input": "racoon, cattle", "output": "cattle", "small": "racoon", "large": "cattle" }, "2509": { "input": "racoon, shark", "output": "shark", "small": "racoon", "large": "shark" }, "2510": { "input": "racoon, elephant", "output": "elephant", "small": "racoon", "large": "elephant" }, "2511": { "input": "giraffe, racoon", "output": "giraffe", "small": "racoon", "large": "giraffe" }, "2512": { "input": "racoon, moose", "output": "moose", "small": "racoon", "large": "moose" }, "2513": { "input": "racoon, crocodile", "output": "crocodile", "small": "racoon", "large": "crocodile" }, "2514": { "input": "liger, racoon", "output": "liger", "small": "racoon", "large": "liger" }, "2515": { "input": "racoon, grizzly bear", "output": "grizzly bear", "small": "racoon", "large": "grizzly bear" }, "2516": { "input": "racoon, hippopotamus", "output": "hippopotamus", "small": "racoon", "large": "hippopotamus" }, "2517": { "input": "whale shark, racoon", "output": "whale shark", "small": "racoon", "large": "whale shark" }, "2518": { "input": "racoon, killer whale", "output": "killer whale", "small": "racoon", "large": "killer whale" }, "2519": { "input": "racoon, great white shark", "output": "great white shark", "small": "racoon", "large": "great white shark" }, "2520": { "input": "racoon, sperm whale", "output": "sperm whale", "small": "racoon", "large": "sperm whale" }, "2521": { "input": "racoon, polar bear", "output": "polar bear", "small": "racoon", "large": "polar bear" }, "2522": { "input": "elephant, racoon", "output": "elephant", "small": "racoon", "large": "elephant" }, "2523": { "input": "sheltie, chamois", "output": "chamois", "small": "sheltie", "large": "chamois" }, "2524": { "input": "chinook, sheltie", "output": "chinook", "small": "sheltie", "large": "chinook" }, "2525": { "input": "human, sheltie", "output": "human", "small": "sheltie", "large": "human" }, "2526": { "input": "octopus, sheltie", "output": "octopus", "small": "sheltie", "large": "octopus" }, "2527": { "input": "alpaca, sheltie", "output": "alpaca", "small": "sheltie", "large": "alpaca" }, "2528": { "input": "sheltie, donkey", "output": "donkey", "small": "sheltie", "large": "donkey" }, "2529": { "input": "pit bull, sheltie", "output": "pit bull", "small": "sheltie", "large": "pit bull" }, "2530": { "input": "sheltie, bulldog", "output": "bulldog", "small": "sheltie", "large": "bulldog" }, "2531": { "input": "sheltie, goat", "output": "goat", "small": "sheltie", "large": "goat" }, "2532": { "input": "sheltie, greyhound", "output": "greyhound", "small": "sheltie", "large": "greyhound" }, "2533": { "input": "sheltie, wombat", "output": "wombat", "small": "sheltie", "large": "wombat" }, "2534": { "input": "golden retriever, sheltie", "output": "golden retriever", "small": "sheltie", "large": "golden retriever" }, "2535": { "input": "sheltie, leopard", "output": "leopard", "small": "sheltie", "large": "leopard" }, "2536": { "input": "capybara, sheltie", "output": "capybara", "small": "sheltie", "large": "capybara" }, "2537": { "input": "boxer, sheltie", "output": "boxer", "small": "sheltie", "large": "boxer" }, "2538": { "input": "chimpanzee, sheltie", "output": "chimpanzee", "small": "sheltie", "large": "chimpanzee" }, "2539": { "input": "cougar, sheltie", "output": "cougar", "small": "sheltie", "large": "cougar" }, "2540": { "input": "sheltie, tortoise", "output": "tortoise", "small": "sheltie", "large": "tortoise" }, "2541": { "input": "sheltie, deer", "output": "deer", "small": "sheltie", "large": "deer" }, "2542": { "input": "sheltie, wolf", "output": "wolf", "small": "sheltie", "large": "wolf" }, "2543": { "input": "cheetah, sheltie", "output": "cheetah", "small": "sheltie", "large": "cheetah" }, "2544": { "input": "sheltie, turtle", "output": "turtle", "small": "sheltie", "large": "turtle" }, "2545": { "input": "sheltie, orangutan", "output": "orangutan", "small": "sheltie", "large": "orangutan" }, "2546": { "input": "wild boar, sheltie", "output": "wild boar", "small": "sheltie", "large": "wild boar" }, "2547": { "input": "bull shark, sheltie", "output": "bull shark", "small": "sheltie", "large": "bull shark" }, "2548": { "input": "llama, sheltie", "output": "llama", "small": "sheltie", "large": "llama" }, "2549": { "input": "sheltie, bear", "output": "bear", "small": "sheltie", "large": "bear" }, "2550": { "input": "pony, sheltie", "output": "pony", "small": "sheltie", "large": "pony" }, "2551": { "input": "sheltie, tiger", "output": "tiger", "small": "sheltie", "large": "tiger" }, "2552": { "input": "sea lion, sheltie", "output": "sea lion", "small": "sheltie", "large": "sea lion" }, "2553": { "input": "sheltie, jaguar", "output": "jaguar", "small": "sheltie", "large": "jaguar" }, "2554": { "input": "lion, sheltie", "output": "lion", "small": "sheltie", "large": "lion" }, "2555": { "input": "wildebeest, sheltie", "output": "wildebeest", "small": "sheltie", "large": "wildebeest" }, "2556": { "input": "tuna, sheltie", "output": "tuna", "small": "sheltie", "large": "tuna" }, "2557": { "input": "sheltie, gorilla", "output": "gorilla", "small": "sheltie", "large": "gorilla" }, "2558": { "input": "sheltie, mule", "output": "mule", "small": "sheltie", "large": "mule" }, "2559": { "input": "manatee, sheltie", "output": "manatee", "small": "sheltie", "large": "manatee" }, "2560": { "input": "sheltie, sturgeon", "output": "sturgeon", "small": "sheltie", "large": "sturgeon" }, "2561": { "input": "camel, sheltie", "output": "camel", "small": "sheltie", "large": "camel" }, "2562": { "input": "elk, sheltie", "output": "elk", "small": "sheltie", "large": "elk" }, "2563": { "input": "horse, sheltie", "output": "horse", "small": "sheltie", "large": "horse" }, "2564": { "input": "sheltie, cattle", "output": "cattle", "small": "sheltie", "large": "cattle" }, "2565": { "input": "sheltie, shark", "output": "shark", "small": "sheltie", "large": "shark" }, "2566": { "input": "elephant, sheltie", "output": "elephant", "small": "sheltie", "large": "elephant" }, "2567": { "input": "sheltie, giraffe", "output": "giraffe", "small": "sheltie", "large": "giraffe" }, "2568": { "input": "moose, sheltie", "output": "moose", "small": "sheltie", "large": "moose" }, "2569": { "input": "sheltie, crocodile", "output": "crocodile", "small": "sheltie", "large": "crocodile" }, "2570": { "input": "liger, sheltie", "output": "liger", "small": "sheltie", "large": "liger" }, "2571": { "input": "grizzly bear, sheltie", "output": "grizzly bear", "small": "sheltie", "large": "grizzly bear" }, "2572": { "input": "hippopotamus, sheltie", "output": "hippopotamus", "small": "sheltie", "large": "hippopotamus" }, "2573": { "input": "whale shark, sheltie", "output": "whale shark", "small": "sheltie", "large": "whale shark" }, "2574": { "input": "killer whale, sheltie", "output": "killer whale", "small": "sheltie", "large": "killer whale" }, "2575": { "input": "sheltie, great white shark", "output": "great white shark", "small": "sheltie", "large": "great white shark" }, "2576": { "input": "sperm whale, sheltie", "output": "sperm whale", "small": "sheltie", "large": "sperm whale" }, "2577": { "input": "sheltie, polar bear", "output": "polar bear", "small": "sheltie", "large": "polar bear" }, "2578": { "input": "sheltie, elephant", "output": "elephant", "small": "sheltie", "large": "elephant" }, "2579": { "input": "labradoodle, chamois", "output": "chamois", "small": "labradoodle", "large": "chamois" }, "2580": { "input": "labradoodle, chinook", "output": "chinook", "small": "labradoodle", "large": "chinook" }, "2581": { "input": "human, labradoodle", "output": "human", "small": "labradoodle", "large": "human" }, "2582": { "input": "octopus, labradoodle", "output": "octopus", "small": "labradoodle", "large": "octopus" }, "2583": { "input": "alpaca, labradoodle", "output": "alpaca", "small": "labradoodle", "large": "alpaca" }, "2584": { "input": "donkey, labradoodle", "output": "donkey", "small": "labradoodle", "large": "donkey" }, "2585": { "input": "labradoodle, pit bull", "output": "pit bull", "small": "labradoodle", "large": "pit bull" }, "2586": { "input": "labradoodle, bulldog", "output": "bulldog", "small": "labradoodle", "large": "bulldog" }, "2587": { "input": "goat, labradoodle", "output": "goat", "small": "labradoodle", "large": "goat" }, "2588": { "input": "labradoodle, greyhound", "output": "greyhound", "small": "labradoodle", "large": "greyhound" }, "2589": { "input": "labradoodle, wombat", "output": "wombat", "small": "labradoodle", "large": "wombat" }, "2590": { "input": "labradoodle, golden retriever", "output": "golden retriever", "small": "labradoodle", "large": "golden retriever" }, "2591": { "input": "labradoodle, leopard", "output": "leopard", "small": "labradoodle", "large": "leopard" }, "2592": { "input": "capybara, labradoodle", "output": "capybara", "small": "labradoodle", "large": "capybara" }, "2593": { "input": "boxer, labradoodle", "output": "boxer", "small": "labradoodle", "large": "boxer" }, "2594": { "input": "chimpanzee, labradoodle", "output": "chimpanzee", "small": "labradoodle", "large": "chimpanzee" }, "2595": { "input": "labradoodle, cougar", "output": "cougar", "small": "labradoodle", "large": "cougar" }, "2596": { "input": "tortoise, labradoodle", "output": "tortoise", "small": "labradoodle", "large": "tortoise" }, "2597": { "input": "labradoodle, deer", "output": "deer", "small": "labradoodle", "large": "deer" }, "2598": { "input": "wolf, labradoodle", "output": "wolf", "small": "labradoodle", "large": "wolf" }, "2599": { "input": "labradoodle, cheetah", "output": "cheetah", "small": "labradoodle", "large": "cheetah" }, "2600": { "input": "labradoodle, turtle", "output": "turtle", "small": "labradoodle", "large": "turtle" }, "2601": { "input": "labradoodle, orangutan", "output": "orangutan", "small": "labradoodle", "large": "orangutan" }, "2602": { "input": "labradoodle, wild boar", "output": "wild boar", "small": "labradoodle", "large": "wild boar" }, "2603": { "input": "bull shark, labradoodle", "output": "bull shark", "small": "labradoodle", "large": "bull shark" }, "2604": { "input": "llama, labradoodle", "output": "llama", "small": "labradoodle", "large": "llama" }, "2605": { "input": "labradoodle, bear", "output": "bear", "small": "labradoodle", "large": "bear" }, "2606": { "input": "pony, labradoodle", "output": "pony", "small": "labradoodle", "large": "pony" }, "2607": { "input": "tiger, labradoodle", "output": "tiger", "small": "labradoodle", "large": "tiger" }, "2608": { "input": "labradoodle, sea lion", "output": "sea lion", "small": "labradoodle", "large": "sea lion" }, "2609": { "input": "labradoodle, jaguar", "output": "jaguar", "small": "labradoodle", "large": "jaguar" }, "2610": { "input": "labradoodle, lion", "output": "lion", "small": "labradoodle", "large": "lion" }, "2611": { "input": "labradoodle, wildebeest", "output": "wildebeest", "small": "labradoodle", "large": "wildebeest" }, "2612": { "input": "labradoodle, tuna", "output": "tuna", "small": "labradoodle", "large": "tuna" }, "2613": { "input": "labradoodle, gorilla", "output": "gorilla", "small": "labradoodle", "large": "gorilla" }, "2614": { "input": "mule, labradoodle", "output": "mule", "small": "labradoodle", "large": "mule" }, "2615": { "input": "manatee, labradoodle", "output": "manatee", "small": "labradoodle", "large": "manatee" }, "2616": { "input": "labradoodle, sturgeon", "output": "sturgeon", "small": "labradoodle", "large": "sturgeon" }, "2617": { "input": "camel, labradoodle", "output": "camel", "small": "labradoodle", "large": "camel" }, "2618": { "input": "labradoodle, elk", "output": "elk", "small": "labradoodle", "large": "elk" }, "2619": { "input": "labradoodle, horse", "output": "horse", "small": "labradoodle", "large": "horse" }, "2620": { "input": "cattle, labradoodle", "output": "cattle", "small": "labradoodle", "large": "cattle" }, "2621": { "input": "shark, labradoodle", "output": "shark", "small": "labradoodle", "large": "shark" }, "2622": { "input": "labradoodle, elephant", "output": "elephant", "small": "labradoodle", "large": "elephant" }, "2623": { "input": "giraffe, labradoodle", "output": "giraffe", "small": "labradoodle", "large": "giraffe" }, "2624": { "input": "moose, labradoodle", "output": "moose", "small": "labradoodle", "large": "moose" }, "2625": { "input": "labradoodle, crocodile", "output": "crocodile", "small": "labradoodle", "large": "crocodile" }, "2626": { "input": "liger, labradoodle", "output": "liger", "small": "labradoodle", "large": "liger" }, "2627": { "input": "grizzly bear, labradoodle", "output": "grizzly bear", "small": "labradoodle", "large": "grizzly bear" }, "2628": { "input": "hippopotamus, labradoodle", "output": "hippopotamus", "small": "labradoodle", "large": "hippopotamus" }, "2629": { "input": "labradoodle, whale shark", "output": "whale shark", "small": "labradoodle", "large": "whale shark" }, "2630": { "input": "killer whale, labradoodle", "output": "killer whale", "small": "labradoodle", "large": "killer whale" }, "2631": { "input": "great white shark, labradoodle", "output": "great white shark", "small": "labradoodle", "large": "great white shark" }, "2632": { "input": "sperm whale, labradoodle", "output": "sperm whale", "small": "labradoodle", "large": "sperm whale" }, "2633": { "input": "polar bear, labradoodle", "output": "polar bear", "small": "labradoodle", "large": "polar bear" }, "2634": { "input": "elephant, labradoodle", "output": "elephant", "small": "labradoodle", "large": "elephant" }, "2635": { "input": "chamois, goldendoodle", "output": "chamois", "small": "goldendoodle", "large": "chamois" }, "2636": { "input": "chinook, goldendoodle", "output": "chinook", "small": "goldendoodle", "large": "chinook" }, "2637": { "input": "goldendoodle, human", "output": "human", "small": "goldendoodle", "large": "human" }, "2638": { "input": "octopus, goldendoodle", "output": "octopus", "small": "goldendoodle", "large": "octopus" }, "2639": { "input": "goldendoodle, alpaca", "output": "alpaca", "small": "goldendoodle", "large": "alpaca" }, "2640": { "input": "goldendoodle, donkey", "output": "donkey", "small": "goldendoodle", "large": "donkey" }, "2641": { "input": "goldendoodle, pit bull", "output": "pit bull", "small": "goldendoodle", "large": "pit bull" }, "2642": { "input": "bulldog, goldendoodle", "output": "bulldog", "small": "goldendoodle", "large": "bulldog" }, "2643": { "input": "goat, goldendoodle", "output": "goat", "small": "goldendoodle", "large": "goat" }, "2644": { "input": "goldendoodle, greyhound", "output": "greyhound", "small": "goldendoodle", "large": "greyhound" }, "2645": { "input": "goldendoodle, wombat", "output": "wombat", "small": "goldendoodle", "large": "wombat" }, "2646": { "input": "golden retriever, goldendoodle", "output": "golden retriever", "small": "goldendoodle", "large": "golden retriever" }, "2647": { "input": "goldendoodle, leopard", "output": "leopard", "small": "goldendoodle", "large": "leopard" }, "2648": { "input": "goldendoodle, capybara", "output": "capybara", "small": "goldendoodle", "large": "capybara" }, "2649": { "input": "goldendoodle, boxer", "output": "boxer", "small": "goldendoodle", "large": "boxer" }, "2650": { "input": "chimpanzee, goldendoodle", "output": "chimpanzee", "small": "goldendoodle", "large": "chimpanzee" }, "2651": { "input": "goldendoodle, cougar", "output": "cougar", "small": "goldendoodle", "large": "cougar" }, "2652": { "input": "tortoise, goldendoodle", "output": "tortoise", "small": "goldendoodle", "large": "tortoise" }, "2653": { "input": "deer, goldendoodle", "output": "deer", "small": "goldendoodle", "large": "deer" }, "2654": { "input": "goldendoodle, wolf", "output": "wolf", "small": "goldendoodle", "large": "wolf" }, "2655": { "input": "goldendoodle, cheetah", "output": "cheetah", "small": "goldendoodle", "large": "cheetah" }, "2656": { "input": "goldendoodle, turtle", "output": "turtle", "small": "goldendoodle", "large": "turtle" }, "2657": { "input": "goldendoodle, orangutan", "output": "orangutan", "small": "goldendoodle", "large": "orangutan" }, "2658": { "input": "wild boar, goldendoodle", "output": "wild boar", "small": "goldendoodle", "large": "wild boar" }, "2659": { "input": "goldendoodle, bull shark", "output": "bull shark", "small": "goldendoodle", "large": "bull shark" }, "2660": { "input": "llama, goldendoodle", "output": "llama", "small": "goldendoodle", "large": "llama" }, "2661": { "input": "goldendoodle, bear", "output": "bear", "small": "goldendoodle", "large": "bear" }, "2662": { "input": "pony, goldendoodle", "output": "pony", "small": "goldendoodle", "large": "pony" }, "2663": { "input": "goldendoodle, tiger", "output": "tiger", "small": "goldendoodle", "large": "tiger" }, "2664": { "input": "goldendoodle, sea lion", "output": "sea lion", "small": "goldendoodle", "large": "sea lion" }, "2665": { "input": "goldendoodle, jaguar", "output": "jaguar", "small": "goldendoodle", "large": "jaguar" }, "2666": { "input": "goldendoodle, lion", "output": "lion", "small": "goldendoodle", "large": "lion" }, "2667": { "input": "wildebeest, goldendoodle", "output": "wildebeest", "small": "goldendoodle", "large": "wildebeest" }, "2668": { "input": "goldendoodle, tuna", "output": "tuna", "small": "goldendoodle", "large": "tuna" }, "2669": { "input": "goldendoodle, gorilla", "output": "gorilla", "small": "goldendoodle", "large": "gorilla" }, "2670": { "input": "mule, goldendoodle", "output": "mule", "small": "goldendoodle", "large": "mule" }, "2671": { "input": "goldendoodle, manatee", "output": "manatee", "small": "goldendoodle", "large": "manatee" }, "2672": { "input": "sturgeon, goldendoodle", "output": "sturgeon", "small": "goldendoodle", "large": "sturgeon" }, "2673": { "input": "goldendoodle, camel", "output": "camel", "small": "goldendoodle", "large": "camel" }, "2674": { "input": "elk, goldendoodle", "output": "elk", "small": "goldendoodle", "large": "elk" }, "2675": { "input": "horse, goldendoodle", "output": "horse", "small": "goldendoodle", "large": "horse" }, "2676": { "input": "goldendoodle, cattle", "output": "cattle", "small": "goldendoodle", "large": "cattle" }, "2677": { "input": "shark, goldendoodle", "output": "shark", "small": "goldendoodle", "large": "shark" }, "2678": { "input": "elephant, goldendoodle", "output": "elephant", "small": "goldendoodle", "large": "elephant" }, "2679": { "input": "giraffe, goldendoodle", "output": "giraffe", "small": "goldendoodle", "large": "giraffe" }, "2680": { "input": "goldendoodle, moose", "output": "moose", "small": "goldendoodle", "large": "moose" }, "2681": { "input": "crocodile, goldendoodle", "output": "crocodile", "small": "goldendoodle", "large": "crocodile" }, "2682": { "input": "liger, goldendoodle", "output": "liger", "small": "goldendoodle", "large": "liger" }, "2683": { "input": "grizzly bear, goldendoodle", "output": "grizzly bear", "small": "goldendoodle", "large": "grizzly bear" }, "2684": { "input": "hippopotamus, goldendoodle", "output": "hippopotamus", "small": "goldendoodle", "large": "hippopotamus" }, "2685": { "input": "goldendoodle, whale shark", "output": "whale shark", "small": "goldendoodle", "large": "whale shark" }, "2686": { "input": "goldendoodle, killer whale", "output": "killer whale", "small": "goldendoodle", "large": "killer whale" }, "2687": { "input": "goldendoodle, great white shark", "output": "great white shark", "small": "goldendoodle", "large": "great white shark" }, "2688": { "input": "goldendoodle, sperm whale", "output": "sperm whale", "small": "goldendoodle", "large": "sperm whale" }, "2689": { "input": "polar bear, goldendoodle", "output": "polar bear", "small": "goldendoodle", "large": "polar bear" }, "2690": { "input": "elephant, goldendoodle", "output": "elephant", "small": "goldendoodle", "large": "elephant" }, "2691": { "input": "collie, chamois", "output": "chamois", "small": "collie", "large": "chamois" }, "2692": { "input": "chinook, collie", "output": "chinook", "small": "collie", "large": "chinook" }, "2693": { "input": "human, collie", "output": "human", "small": "collie", "large": "human" }, "2694": { "input": "collie, octopus", "output": "octopus", "small": "collie", "large": "octopus" }, "2695": { "input": "collie, alpaca", "output": "alpaca", "small": "collie", "large": "alpaca" }, "2696": { "input": "donkey, collie", "output": "donkey", "small": "collie", "large": "donkey" }, "2697": { "input": "collie, pit bull", "output": "pit bull", "small": "collie", "large": "pit bull" }, "2698": { "input": "collie, bulldog", "output": "bulldog", "small": "collie", "large": "bulldog" }, "2699": { "input": "collie, goat", "output": "goat", "small": "collie", "large": "goat" }, "2700": { "input": "collie, greyhound", "output": "greyhound", "small": "collie", "large": "greyhound" }, "2701": { "input": "collie, wombat", "output": "wombat", "small": "collie", "large": "wombat" }, "2702": { "input": "golden retriever, collie", "output": "golden retriever", "small": "collie", "large": "golden retriever" }, "2703": { "input": "leopard, collie", "output": "leopard", "small": "collie", "large": "leopard" }, "2704": { "input": "collie, capybara", "output": "capybara", "small": "collie", "large": "capybara" }, "2705": { "input": "collie, boxer", "output": "boxer", "small": "collie", "large": "boxer" }, "2706": { "input": "collie, chimpanzee", "output": "chimpanzee", "small": "collie", "large": "chimpanzee" }, "2707": { "input": "cougar, collie", "output": "cougar", "small": "collie", "large": "cougar" }, "2708": { "input": "collie, tortoise", "output": "tortoise", "small": "collie", "large": "tortoise" }, "2709": { "input": "collie, deer", "output": "deer", "small": "collie", "large": "deer" }, "2710": { "input": "wolf, collie", "output": "wolf", "small": "collie", "large": "wolf" }, "2711": { "input": "collie, cheetah", "output": "cheetah", "small": "collie", "large": "cheetah" }, "2712": { "input": "turtle, collie", "output": "turtle", "small": "collie", "large": "turtle" }, "2713": { "input": "collie, orangutan", "output": "orangutan", "small": "collie", "large": "orangutan" }, "2714": { "input": "wild boar, collie", "output": "wild boar", "small": "collie", "large": "wild boar" }, "2715": { "input": "bull shark, collie", "output": "bull shark", "small": "collie", "large": "bull shark" }, "2716": { "input": "llama, collie", "output": "llama", "small": "collie", "large": "llama" }, "2717": { "input": "bear, collie", "output": "bear", "small": "collie", "large": "bear" }, "2718": { "input": "pony, collie", "output": "pony", "small": "collie", "large": "pony" }, "2719": { "input": "collie, tiger", "output": "tiger", "small": "collie", "large": "tiger" }, "2720": { "input": "sea lion, collie", "output": "sea lion", "small": "collie", "large": "sea lion" }, "2721": { "input": "collie, jaguar", "output": "jaguar", "small": "collie", "large": "jaguar" }, "2722": { "input": "lion, collie", "output": "lion", "small": "collie", "large": "lion" }, "2723": { "input": "wildebeest, collie", "output": "wildebeest", "small": "collie", "large": "wildebeest" }, "2724": { "input": "collie, tuna", "output": "tuna", "small": "collie", "large": "tuna" }, "2725": { "input": "gorilla, collie", "output": "gorilla", "small": "collie", "large": "gorilla" }, "2726": { "input": "mule, collie", "output": "mule", "small": "collie", "large": "mule" }, "2727": { "input": "collie, manatee", "output": "manatee", "small": "collie", "large": "manatee" }, "2728": { "input": "collie, sturgeon", "output": "sturgeon", "small": "collie", "large": "sturgeon" }, "2729": { "input": "collie, camel", "output": "camel", "small": "collie", "large": "camel" }, "2730": { "input": "elk, collie", "output": "elk", "small": "collie", "large": "elk" }, "2731": { "input": "collie, horse", "output": "horse", "small": "collie", "large": "horse" }, "2732": { "input": "cattle, collie", "output": "cattle", "small": "collie", "large": "cattle" }, "2733": { "input": "shark, collie", "output": "shark", "small": "collie", "large": "shark" }, "2734": { "input": "elephant, collie", "output": "elephant", "small": "collie", "large": "elephant" }, "2735": { "input": "giraffe, collie", "output": "giraffe", "small": "collie", "large": "giraffe" }, "2736": { "input": "collie, moose", "output": "moose", "small": "collie", "large": "moose" }, "2737": { "input": "collie, crocodile", "output": "crocodile", "small": "collie", "large": "crocodile" }, "2738": { "input": "collie, liger", "output": "liger", "small": "collie", "large": "liger" }, "2739": { "input": "grizzly bear, collie", "output": "grizzly bear", "small": "collie", "large": "grizzly bear" }, "2740": { "input": "hippopotamus, collie", "output": "hippopotamus", "small": "collie", "large": "hippopotamus" }, "2741": { "input": "whale shark, collie", "output": "whale shark", "small": "collie", "large": "whale shark" }, "2742": { "input": "collie, killer whale", "output": "killer whale", "small": "collie", "large": "killer whale" }, "2743": { "input": "collie, great white shark", "output": "great white shark", "small": "collie", "large": "great white shark" }, "2744": { "input": "collie, sperm whale", "output": "sperm whale", "small": "collie", "large": "sperm whale" }, "2745": { "input": "collie, polar bear", "output": "polar bear", "small": "collie", "large": "polar bear" }, "2746": { "input": "collie, elephant", "output": "elephant", "small": "collie", "large": "elephant" }, "2747": { "input": "chamois, coyote", "output": "chamois", "small": "coyote", "large": "chamois" }, "2748": { "input": "chinook, coyote", "output": "chinook", "small": "coyote", "large": "chinook" }, "2749": { "input": "coyote, human", "output": "human", "small": "coyote", "large": "human" }, "2750": { "input": "coyote, octopus", "output": "octopus", "small": "coyote", "large": "octopus" }, "2751": { "input": "alpaca, coyote", "output": "alpaca", "small": "coyote", "large": "alpaca" }, "2752": { "input": "coyote, donkey", "output": "donkey", "small": "coyote", "large": "donkey" }, "2753": { "input": "pit bull, coyote", "output": "pit bull", "small": "coyote", "large": "pit bull" }, "2754": { "input": "coyote, bulldog", "output": "bulldog", "small": "coyote", "large": "bulldog" }, "2755": { "input": "goat, coyote", "output": "goat", "small": "coyote", "large": "goat" }, "2756": { "input": "coyote, greyhound", "output": "greyhound", "small": "coyote", "large": "greyhound" }, "2757": { "input": "coyote, wombat", "output": "wombat", "small": "coyote", "large": "wombat" }, "2758": { "input": "golden retriever, coyote", "output": "golden retriever", "small": "coyote", "large": "golden retriever" }, "2759": { "input": "coyote, leopard", "output": "leopard", "small": "coyote", "large": "leopard" }, "2760": { "input": "coyote, capybara", "output": "capybara", "small": "coyote", "large": "capybara" }, "2761": { "input": "coyote, boxer", "output": "boxer", "small": "coyote", "large": "boxer" }, "2762": { "input": "chimpanzee, coyote", "output": "chimpanzee", "small": "coyote", "large": "chimpanzee" }, "2763": { "input": "coyote, cougar", "output": "cougar", "small": "coyote", "large": "cougar" }, "2764": { "input": "tortoise, coyote", "output": "tortoise", "small": "coyote", "large": "tortoise" }, "2765": { "input": "coyote, deer", "output": "deer", "small": "coyote", "large": "deer" }, "2766": { "input": "wolf, coyote", "output": "wolf", "small": "coyote", "large": "wolf" }, "2767": { "input": "coyote, cheetah", "output": "cheetah", "small": "coyote", "large": "cheetah" }, "2768": { "input": "coyote, turtle", "output": "turtle", "small": "coyote", "large": "turtle" }, "2769": { "input": "coyote, orangutan", "output": "orangutan", "small": "coyote", "large": "orangutan" }, "2770": { "input": "coyote, wild boar", "output": "wild boar", "small": "coyote", "large": "wild boar" }, "2771": { "input": "coyote, bull shark", "output": "bull shark", "small": "coyote", "large": "bull shark" }, "2772": { "input": "coyote, llama", "output": "llama", "small": "coyote", "large": "llama" }, "2773": { "input": "bear, coyote", "output": "bear", "small": "coyote", "large": "bear" }, "2774": { "input": "pony, coyote", "output": "pony", "small": "coyote", "large": "pony" }, "2775": { "input": "coyote, tiger", "output": "tiger", "small": "coyote", "large": "tiger" }, "2776": { "input": "sea lion, coyote", "output": "sea lion", "small": "coyote", "large": "sea lion" }, "2777": { "input": "coyote, jaguar", "output": "jaguar", "small": "coyote", "large": "jaguar" }, "2778": { "input": "lion, coyote", "output": "lion", "small": "coyote", "large": "lion" }, "2779": { "input": "wildebeest, coyote", "output": "wildebeest", "small": "coyote", "large": "wildebeest" }, "2780": { "input": "coyote, tuna", "output": "tuna", "small": "coyote", "large": "tuna" }, "2781": { "input": "gorilla, coyote", "output": "gorilla", "small": "coyote", "large": "gorilla" }, "2782": { "input": "coyote, mule", "output": "mule", "small": "coyote", "large": "mule" }, "2783": { "input": "coyote, manatee", "output": "manatee", "small": "coyote", "large": "manatee" }, "2784": { "input": "sturgeon, coyote", "output": "sturgeon", "small": "coyote", "large": "sturgeon" }, "2785": { "input": "coyote, camel", "output": "camel", "small": "coyote", "large": "camel" }, "2786": { "input": "elk, coyote", "output": "elk", "small": "coyote", "large": "elk" }, "2787": { "input": "horse, coyote", "output": "horse", "small": "coyote", "large": "horse" }, "2788": { "input": "coyote, cattle", "output": "cattle", "small": "coyote", "large": "cattle" }, "2789": { "input": "coyote, shark", "output": "shark", "small": "coyote", "large": "shark" }, "2790": { "input": "coyote, elephant", "output": "elephant", "small": "coyote", "large": "elephant" }, "2791": { "input": "giraffe, coyote", "output": "giraffe", "small": "coyote", "large": "giraffe" }, "2792": { "input": "coyote, moose", "output": "moose", "small": "coyote", "large": "moose" }, "2793": { "input": "crocodile, coyote", "output": "crocodile", "small": "coyote", "large": "crocodile" }, "2794": { "input": "liger, coyote", "output": "liger", "small": "coyote", "large": "liger" }, "2795": { "input": "coyote, grizzly bear", "output": "grizzly bear", "small": "coyote", "large": "grizzly bear" }, "2796": { "input": "hippopotamus, coyote", "output": "hippopotamus", "small": "coyote", "large": "hippopotamus" }, "2797": { "input": "coyote, whale shark", "output": "whale shark", "small": "coyote", "large": "whale shark" }, "2798": { "input": "killer whale, coyote", "output": "killer whale", "small": "coyote", "large": "killer whale" }, "2799": { "input": "great white shark, coyote", "output": "great white shark", "small": "coyote", "large": "great white shark" }, "2800": { "input": "coyote, sperm whale", "output": "sperm whale", "small": "coyote", "large": "sperm whale" }, "2801": { "input": "polar bear, coyote", "output": "polar bear", "small": "coyote", "large": "polar bear" }, "2802": { "input": "coyote, elephant", "output": "elephant", "small": "coyote", "large": "elephant" }, "2803": { "input": "chamois, dog", "output": "chamois", "small": "dog", "large": "chamois" }, "2804": { "input": "dog, chinook", "output": "chinook", "small": "dog", "large": "chinook" }, "2805": { "input": "dog, human", "output": "human", "small": "dog", "large": "human" }, "2806": { "input": "dog, octopus", "output": "octopus", "small": "dog", "large": "octopus" }, "2807": { "input": "dog, alpaca", "output": "alpaca", "small": "dog", "large": "alpaca" }, "2808": { "input": "dog, donkey", "output": "donkey", "small": "dog", "large": "donkey" }, "2809": { "input": "dog, pit bull", "output": "pit bull", "small": "dog", "large": "pit bull" }, "2810": { "input": "bulldog, dog", "output": "bulldog", "small": "dog", "large": "bulldog" }, "2811": { "input": "goat, dog", "output": "goat", "small": "dog", "large": "goat" }, "2812": { "input": "dog, greyhound", "output": "greyhound", "small": "dog", "large": "greyhound" }, "2813": { "input": "wombat, dog", "output": "wombat", "small": "dog", "large": "wombat" }, "2814": { "input": "golden retriever, dog", "output": "golden retriever", "small": "dog", "large": "golden retriever" }, "2815": { "input": "leopard, dog", "output": "leopard", "small": "dog", "large": "leopard" }, "2816": { "input": "capybara, dog", "output": "capybara", "small": "dog", "large": "capybara" }, "2817": { "input": "dog, boxer", "output": "boxer", "small": "dog", "large": "boxer" }, "2818": { "input": "dog, chimpanzee", "output": "chimpanzee", "small": "dog", "large": "chimpanzee" }, "2819": { "input": "dog, cougar", "output": "cougar", "small": "dog", "large": "cougar" }, "2820": { "input": "tortoise, dog", "output": "tortoise", "small": "dog", "large": "tortoise" }, "2821": { "input": "dog, deer", "output": "deer", "small": "dog", "large": "deer" }, "2822": { "input": "dog, wolf", "output": "wolf", "small": "dog", "large": "wolf" }, "2823": { "input": "cheetah, dog", "output": "cheetah", "small": "dog", "large": "cheetah" }, "2824": { "input": "dog, turtle", "output": "turtle", "small": "dog", "large": "turtle" }, "2825": { "input": "orangutan, dog", "output": "orangutan", "small": "dog", "large": "orangutan" }, "2826": { "input": "wild boar, dog", "output": "wild boar", "small": "dog", "large": "wild boar" }, "2827": { "input": "bull shark, dog", "output": "bull shark", "small": "dog", "large": "bull shark" }, "2828": { "input": "dog, llama", "output": "llama", "small": "dog", "large": "llama" }, "2829": { "input": "bear, dog", "output": "bear", "small": "dog", "large": "bear" }, "2830": { "input": "pony, dog", "output": "pony", "small": "dog", "large": "pony" }, "2831": { "input": "dog, tiger", "output": "tiger", "small": "dog", "large": "tiger" }, "2832": { "input": "sea lion, dog", "output": "sea lion", "small": "dog", "large": "sea lion" }, "2833": { "input": "jaguar, dog", "output": "jaguar", "small": "dog", "large": "jaguar" }, "2834": { "input": "lion, dog", "output": "lion", "small": "dog", "large": "lion" }, "2835": { "input": "dog, wildebeest", "output": "wildebeest", "small": "dog", "large": "wildebeest" }, "2836": { "input": "tuna, dog", "output": "tuna", "small": "dog", "large": "tuna" }, "2837": { "input": "gorilla, dog", "output": "gorilla", "small": "dog", "large": "gorilla" }, "2838": { "input": "mule, dog", "output": "mule", "small": "dog", "large": "mule" }, "2839": { "input": "dog, manatee", "output": "manatee", "small": "dog", "large": "manatee" }, "2840": { "input": "dog, sturgeon", "output": "sturgeon", "small": "dog", "large": "sturgeon" }, "2841": { "input": "dog, camel", "output": "camel", "small": "dog", "large": "camel" }, "2842": { "input": "elk, dog", "output": "elk", "small": "dog", "large": "elk" }, "2843": { "input": "dog, horse", "output": "horse", "small": "dog", "large": "horse" }, "2844": { "input": "dog, cattle", "output": "cattle", "small": "dog", "large": "cattle" }, "2845": { "input": "shark, dog", "output": "shark", "small": "dog", "large": "shark" }, "2846": { "input": "dog, elephant", "output": "elephant", "small": "dog", "large": "elephant" }, "2847": { "input": "dog, giraffe", "output": "giraffe", "small": "dog", "large": "giraffe" }, "2848": { "input": "dog, moose", "output": "moose", "small": "dog", "large": "moose" }, "2849": { "input": "dog, crocodile", "output": "crocodile", "small": "dog", "large": "crocodile" }, "2850": { "input": "dog, liger", "output": "liger", "small": "dog", "large": "liger" }, "2851": { "input": "dog, grizzly bear", "output": "grizzly bear", "small": "dog", "large": "grizzly bear" }, "2852": { "input": "dog, hippopotamus", "output": "hippopotamus", "small": "dog", "large": "hippopotamus" }, "2853": { "input": "whale shark, dog", "output": "whale shark", "small": "dog", "large": "whale shark" }, "2854": { "input": "dog, killer whale", "output": "killer whale", "small": "dog", "large": "killer whale" }, "2855": { "input": "dog, great white shark", "output": "great white shark", "small": "dog", "large": "great white shark" }, "2856": { "input": "dog, sperm whale", "output": "sperm whale", "small": "dog", "large": "sperm whale" }, "2857": { "input": "polar bear, dog", "output": "polar bear", "small": "dog", "large": "polar bear" }, "2858": { "input": "elephant, dog", "output": "elephant", "small": "dog", "large": "elephant" }, "2859": { "input": "chamois, human", "output": "human", "small": "chamois", "large": "human" }, "2860": { "input": "chamois, wild boar", "output": "wild boar", "small": "chamois", "large": "wild boar" }, "2861": { "input": "bull shark, chamois", "output": "bull shark", "small": "chamois", "large": "bull shark" }, "2862": { "input": "chamois, llama", "output": "llama", "small": "chamois", "large": "llama" }, "2863": { "input": "bear, chamois", "output": "bear", "small": "chamois", "large": "bear" }, "2864": { "input": "pony, chamois", "output": "pony", "small": "chamois", "large": "pony" }, "2865": { "input": "chamois, tiger", "output": "tiger", "small": "chamois", "large": "tiger" }, "2866": { "input": "sea lion, chamois", "output": "sea lion", "small": "chamois", "large": "sea lion" }, "2867": { "input": "chamois, jaguar", "output": "jaguar", "small": "chamois", "large": "jaguar" }, "2868": { "input": "lion, chamois", "output": "lion", "small": "chamois", "large": "lion" }, "2869": { "input": "wildebeest, chamois", "output": "wildebeest", "small": "chamois", "large": "wildebeest" }, "2870": { "input": "chamois, tuna", "output": "tuna", "small": "chamois", "large": "tuna" }, "2871": { "input": "chamois, gorilla", "output": "gorilla", "small": "chamois", "large": "gorilla" }, "2872": { "input": "chamois, mule", "output": "mule", "small": "chamois", "large": "mule" }, "2873": { "input": "manatee, chamois", "output": "manatee", "small": "chamois", "large": "manatee" }, "2874": { "input": "sturgeon, chamois", "output": "sturgeon", "small": "chamois", "large": "sturgeon" }, "2875": { "input": "camel, chamois", "output": "camel", "small": "chamois", "large": "camel" }, "2876": { "input": "elk, chamois", "output": "elk", "small": "chamois", "large": "elk" }, "2877": { "input": "horse, chamois", "output": "horse", "small": "chamois", "large": "horse" }, "2878": { "input": "chamois, cattle", "output": "cattle", "small": "chamois", "large": "cattle" }, "2879": { "input": "shark, chamois", "output": "shark", "small": "chamois", "large": "shark" }, "2880": { "input": "chamois, elephant", "output": "elephant", "small": "chamois", "large": "elephant" }, "2881": { "input": "chamois, giraffe", "output": "giraffe", "small": "chamois", "large": "giraffe" }, "2882": { "input": "chamois, moose", "output": "moose", "small": "chamois", "large": "moose" }, "2883": { "input": "crocodile, chamois", "output": "crocodile", "small": "chamois", "large": "crocodile" }, "2884": { "input": "liger, chamois", "output": "liger", "small": "chamois", "large": "liger" }, "2885": { "input": "chamois, grizzly bear", "output": "grizzly bear", "small": "chamois", "large": "grizzly bear" }, "2886": { "input": "hippopotamus, chamois", "output": "hippopotamus", "small": "chamois", "large": "hippopotamus" }, "2887": { "input": "whale shark, chamois", "output": "whale shark", "small": "chamois", "large": "whale shark" }, "2888": { "input": "killer whale, chamois", "output": "killer whale", "small": "chamois", "large": "killer whale" }, "2889": { "input": "great white shark, chamois", "output": "great white shark", "small": "chamois", "large": "great white shark" }, "2890": { "input": "sperm whale, chamois", "output": "sperm whale", "small": "chamois", "large": "sperm whale" }, "2891": { "input": "chamois, polar bear", "output": "polar bear", "small": "chamois", "large": "polar bear" }, "2892": { "input": "elephant, chamois", "output": "elephant", "small": "chamois", "large": "elephant" }, "2893": { "input": "human, chinook", "output": "human", "small": "chinook", "large": "human" }, "2894": { "input": "chinook, wild boar", "output": "wild boar", "small": "chinook", "large": "wild boar" }, "2895": { "input": "bull shark, chinook", "output": "bull shark", "small": "chinook", "large": "bull shark" }, "2896": { "input": "chinook, llama", "output": "llama", "small": "chinook", "large": "llama" }, "2897": { "input": "chinook, bear", "output": "bear", "small": "chinook", "large": "bear" }, "2898": { "input": "chinook, pony", "output": "pony", "small": "chinook", "large": "pony" }, "2899": { "input": "tiger, chinook", "output": "tiger", "small": "chinook", "large": "tiger" }, "2900": { "input": "chinook, sea lion", "output": "sea lion", "small": "chinook", "large": "sea lion" }, "2901": { "input": "chinook, jaguar", "output": "jaguar", "small": "chinook", "large": "jaguar" }, "2902": { "input": "lion, chinook", "output": "lion", "small": "chinook", "large": "lion" }, "2903": { "input": "chinook, wildebeest", "output": "wildebeest", "small": "chinook", "large": "wildebeest" }, "2904": { "input": "tuna, chinook", "output": "tuna", "small": "chinook", "large": "tuna" }, "2905": { "input": "gorilla, chinook", "output": "gorilla", "small": "chinook", "large": "gorilla" }, "2906": { "input": "mule, chinook", "output": "mule", "small": "chinook", "large": "mule" }, "2907": { "input": "manatee, chinook", "output": "manatee", "small": "chinook", "large": "manatee" }, "2908": { "input": "chinook, sturgeon", "output": "sturgeon", "small": "chinook", "large": "sturgeon" }, "2909": { "input": "chinook, camel", "output": "camel", "small": "chinook", "large": "camel" }, "2910": { "input": "chinook, elk", "output": "elk", "small": "chinook", "large": "elk" }, "2911": { "input": "chinook, horse", "output": "horse", "small": "chinook", "large": "horse" }, "2912": { "input": "chinook, cattle", "output": "cattle", "small": "chinook", "large": "cattle" }, "2913": { "input": "chinook, shark", "output": "shark", "small": "chinook", "large": "shark" }, "2914": { "input": "chinook, elephant", "output": "elephant", "small": "chinook", "large": "elephant" }, "2915": { "input": "giraffe, chinook", "output": "giraffe", "small": "chinook", "large": "giraffe" }, "2916": { "input": "chinook, moose", "output": "moose", "small": "chinook", "large": "moose" }, "2917": { "input": "chinook, crocodile", "output": "crocodile", "small": "chinook", "large": "crocodile" }, "2918": { "input": "chinook, liger", "output": "liger", "small": "chinook", "large": "liger" }, "2919": { "input": "grizzly bear, chinook", "output": "grizzly bear", "small": "chinook", "large": "grizzly bear" }, "2920": { "input": "hippopotamus, chinook", "output": "hippopotamus", "small": "chinook", "large": "hippopotamus" }, "2921": { "input": "chinook, whale shark", "output": "whale shark", "small": "chinook", "large": "whale shark" }, "2922": { "input": "killer whale, chinook", "output": "killer whale", "small": "chinook", "large": "killer whale" }, "2923": { "input": "great white shark, chinook", "output": "great white shark", "small": "chinook", "large": "great white shark" }, "2924": { "input": "sperm whale, chinook", "output": "sperm whale", "small": "chinook", "large": "sperm whale" }, "2925": { "input": "polar bear, chinook", "output": "polar bear", "small": "chinook", "large": "polar bear" }, "2926": { "input": "chinook, elephant", "output": "elephant", "small": "chinook", "large": "elephant" }, "2927": { "input": "octopus, human", "output": "human", "small": "octopus", "large": "human" }, "2928": { "input": "wild boar, octopus", "output": "wild boar", "small": "octopus", "large": "wild boar" }, "2929": { "input": "octopus, bull shark", "output": "bull shark", "small": "octopus", "large": "bull shark" }, "2930": { "input": "llama, octopus", "output": "llama", "small": "octopus", "large": "llama" }, "2931": { "input": "octopus, bear", "output": "bear", "small": "octopus", "large": "bear" }, "2932": { "input": "octopus, pony", "output": "pony", "small": "octopus", "large": "pony" }, "2933": { "input": "tiger, octopus", "output": "tiger", "small": "octopus", "large": "tiger" }, "2934": { "input": "octopus, sea lion", "output": "sea lion", "small": "octopus", "large": "sea lion" }, "2935": { "input": "octopus, jaguar", "output": "jaguar", "small": "octopus", "large": "jaguar" }, "2936": { "input": "lion, octopus", "output": "lion", "small": "octopus", "large": "lion" }, "2937": { "input": "wildebeest, octopus", "output": "wildebeest", "small": "octopus", "large": "wildebeest" }, "2938": { "input": "tuna, octopus", "output": "tuna", "small": "octopus", "large": "tuna" }, "2939": { "input": "octopus, gorilla", "output": "gorilla", "small": "octopus", "large": "gorilla" }, "2940": { "input": "mule, octopus", "output": "mule", "small": "octopus", "large": "mule" }, "2941": { "input": "manatee, octopus", "output": "manatee", "small": "octopus", "large": "manatee" }, "2942": { "input": "sturgeon, octopus", "output": "sturgeon", "small": "octopus", "large": "sturgeon" }, "2943": { "input": "octopus, camel", "output": "camel", "small": "octopus", "large": "camel" }, "2944": { "input": "elk, octopus", "output": "elk", "small": "octopus", "large": "elk" }, "2945": { "input": "octopus, horse", "output": "horse", "small": "octopus", "large": "horse" }, "2946": { "input": "octopus, cattle", "output": "cattle", "small": "octopus", "large": "cattle" }, "2947": { "input": "octopus, shark", "output": "shark", "small": "octopus", "large": "shark" }, "2948": { "input": "elephant, octopus", "output": "elephant", "small": "octopus", "large": "elephant" }, "2949": { "input": "octopus, giraffe", "output": "giraffe", "small": "octopus", "large": "giraffe" }, "2950": { "input": "octopus, moose", "output": "moose", "small": "octopus", "large": "moose" }, "2951": { "input": "crocodile, octopus", "output": "crocodile", "small": "octopus", "large": "crocodile" }, "2952": { "input": "octopus, liger", "output": "liger", "small": "octopus", "large": "liger" }, "2953": { "input": "grizzly bear, octopus", "output": "grizzly bear", "small": "octopus", "large": "grizzly bear" }, "2954": { "input": "octopus, hippopotamus", "output": "hippopotamus", "small": "octopus", "large": "hippopotamus" }, "2955": { "input": "octopus, whale shark", "output": "whale shark", "small": "octopus", "large": "whale shark" }, "2956": { "input": "killer whale, octopus", "output": "killer whale", "small": "octopus", "large": "killer whale" }, "2957": { "input": "great white shark, octopus", "output": "great white shark", "small": "octopus", "large": "great white shark" }, "2958": { "input": "octopus, sperm whale", "output": "sperm whale", "small": "octopus", "large": "sperm whale" }, "2959": { "input": "polar bear, octopus", "output": "polar bear", "small": "octopus", "large": "polar bear" }, "2960": { "input": "elephant, octopus", "output": "elephant", "small": "octopus", "large": "elephant" }, "2961": { "input": "human, alpaca", "output": "human", "small": "alpaca", "large": "human" }, "2962": { "input": "alpaca, wild boar", "output": "wild boar", "small": "alpaca", "large": "wild boar" }, "2963": { "input": "alpaca, bull shark", "output": "bull shark", "small": "alpaca", "large": "bull shark" }, "2964": { "input": "alpaca, llama", "output": "llama", "small": "alpaca", "large": "llama" }, "2965": { "input": "bear, alpaca", "output": "bear", "small": "alpaca", "large": "bear" }, "2966": { "input": "alpaca, pony", "output": "pony", "small": "alpaca", "large": "pony" }, "2967": { "input": "tiger, alpaca", "output": "tiger", "small": "alpaca", "large": "tiger" }, "2968": { "input": "alpaca, sea lion", "output": "sea lion", "small": "alpaca", "large": "sea lion" }, "2969": { "input": "jaguar, alpaca", "output": "jaguar", "small": "alpaca", "large": "jaguar" }, "2970": { "input": "lion, alpaca", "output": "lion", "small": "alpaca", "large": "lion" }, "2971": { "input": "wildebeest, alpaca", "output": "wildebeest", "small": "alpaca", "large": "wildebeest" }, "2972": { "input": "tuna, alpaca", "output": "tuna", "small": "alpaca", "large": "tuna" }, "2973": { "input": "gorilla, alpaca", "output": "gorilla", "small": "alpaca", "large": "gorilla" }, "2974": { "input": "mule, alpaca", "output": "mule", "small": "alpaca", "large": "mule" }, "2975": { "input": "manatee, alpaca", "output": "manatee", "small": "alpaca", "large": "manatee" }, "2976": { "input": "alpaca, sturgeon", "output": "sturgeon", "small": "alpaca", "large": "sturgeon" }, "2977": { "input": "camel, alpaca", "output": "camel", "small": "alpaca", "large": "camel" }, "2978": { "input": "elk, alpaca", "output": "elk", "small": "alpaca", "large": "elk" }, "2979": { "input": "horse, alpaca", "output": "horse", "small": "alpaca", "large": "horse" }, "2980": { "input": "cattle, alpaca", "output": "cattle", "small": "alpaca", "large": "cattle" }, "2981": { "input": "alpaca, shark", "output": "shark", "small": "alpaca", "large": "shark" }, "2982": { "input": "alpaca, elephant", "output": "elephant", "small": "alpaca", "large": "elephant" }, "2983": { "input": "alpaca, giraffe", "output": "giraffe", "small": "alpaca", "large": "giraffe" }, "2984": { "input": "moose, alpaca", "output": "moose", "small": "alpaca", "large": "moose" }, "2985": { "input": "alpaca, crocodile", "output": "crocodile", "small": "alpaca", "large": "crocodile" }, "2986": { "input": "alpaca, liger", "output": "liger", "small": "alpaca", "large": "liger" }, "2987": { "input": "grizzly bear, alpaca", "output": "grizzly bear", "small": "alpaca", "large": "grizzly bear" }, "2988": { "input": "alpaca, hippopotamus", "output": "hippopotamus", "small": "alpaca", "large": "hippopotamus" }, "2989": { "input": "alpaca, whale shark", "output": "whale shark", "small": "alpaca", "large": "whale shark" }, "2990": { "input": "alpaca, killer whale", "output": "killer whale", "small": "alpaca", "large": "killer whale" }, "2991": { "input": "alpaca, great white shark", "output": "great white shark", "small": "alpaca", "large": "great white shark" }, "2992": { "input": "alpaca, sperm whale", "output": "sperm whale", "small": "alpaca", "large": "sperm whale" }, "2993": { "input": "alpaca, polar bear", "output": "polar bear", "small": "alpaca", "large": "polar bear" }, "2994": { "input": "elephant, alpaca", "output": "elephant", "small": "alpaca", "large": "elephant" }, "2995": { "input": "human, donkey", "output": "human", "small": "donkey", "large": "human" }, "2996": { "input": "wild boar, donkey", "output": "wild boar", "small": "donkey", "large": "wild boar" }, "2997": { "input": "bull shark, donkey", "output": "bull shark", "small": "donkey", "large": "bull shark" }, "2998": { "input": "llama, donkey", "output": "llama", "small": "donkey", "large": "llama" }, "2999": { "input": "donkey, bear", "output": "bear", "small": "donkey", "large": "bear" }, "3000": { "input": "donkey, pony", "output": "pony", "small": "donkey", "large": "pony" }, "3001": { "input": "donkey, tiger", "output": "tiger", "small": "donkey", "large": "tiger" }, "3002": { "input": "donkey, sea lion", "output": "sea lion", "small": "donkey", "large": "sea lion" }, "3003": { "input": "jaguar, donkey", "output": "jaguar", "small": "donkey", "large": "jaguar" }, "3004": { "input": "lion, donkey", "output": "lion", "small": "donkey", "large": "lion" }, "3005": { "input": "wildebeest, donkey", "output": "wildebeest", "small": "donkey", "large": "wildebeest" }, "3006": { "input": "tuna, donkey", "output": "tuna", "small": "donkey", "large": "tuna" }, "3007": { "input": "donkey, gorilla", "output": "gorilla", "small": "donkey", "large": "gorilla" }, "3008": { "input": "mule, donkey", "output": "mule", "small": "donkey", "large": "mule" }, "3009": { "input": "donkey, manatee", "output": "manatee", "small": "donkey", "large": "manatee" }, "3010": { "input": "donkey, sturgeon", "output": "sturgeon", "small": "donkey", "large": "sturgeon" }, "3011": { "input": "donkey, camel", "output": "camel", "small": "donkey", "large": "camel" }, "3012": { "input": "elk, donkey", "output": "elk", "small": "donkey", "large": "elk" }, "3013": { "input": "horse, donkey", "output": "horse", "small": "donkey", "large": "horse" }, "3014": { "input": "cattle, donkey", "output": "cattle", "small": "donkey", "large": "cattle" }, "3015": { "input": "donkey, shark", "output": "shark", "small": "donkey", "large": "shark" }, "3016": { "input": "elephant, donkey", "output": "elephant", "small": "donkey", "large": "elephant" }, "3017": { "input": "donkey, giraffe", "output": "giraffe", "small": "donkey", "large": "giraffe" }, "3018": { "input": "donkey, moose", "output": "moose", "small": "donkey", "large": "moose" }, "3019": { "input": "donkey, crocodile", "output": "crocodile", "small": "donkey", "large": "crocodile" }, "3020": { "input": "liger, donkey", "output": "liger", "small": "donkey", "large": "liger" }, "3021": { "input": "grizzly bear, donkey", "output": "grizzly bear", "small": "donkey", "large": "grizzly bear" }, "3022": { "input": "donkey, hippopotamus", "output": "hippopotamus", "small": "donkey", "large": "hippopotamus" }, "3023": { "input": "donkey, whale shark", "output": "whale shark", "small": "donkey", "large": "whale shark" }, "3024": { "input": "killer whale, donkey", "output": "killer whale", "small": "donkey", "large": "killer whale" }, "3025": { "input": "great white shark, donkey", "output": "great white shark", "small": "donkey", "large": "great white shark" }, "3026": { "input": "donkey, sperm whale", "output": "sperm whale", "small": "donkey", "large": "sperm whale" }, "3027": { "input": "donkey, polar bear", "output": "polar bear", "small": "donkey", "large": "polar bear" }, "3028": { "input": "elephant, donkey", "output": "elephant", "small": "donkey", "large": "elephant" } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/induce/letters_list.json ================================================ { "metadata": { "num_examples": 3306 }, "examples": { "1": { "input": "time", "output": "t i m e", "word_letters_list": [ "t", "i", "m", "e" ] }, "2": { "input": "game", "output": "g a m e", "word_letters_list": [ "g", "a", "m", "e" ] }, "3": { "input": "film", "output": "f i l m", "word_letters_list": [ "f", "i", "l", "m" ] }, "4": { "input": "season", "output": "s e a s o n", "word_letters_list": [ "s", "e", "a", "s", "o", "n" ] }, "5": { "input": "year", "output": "y e a r", "word_letters_list": [ "y", "e", "a", "r" ] }, "6": { "input": "second", "output": "s e c o n d", "word_letters_list": [ "s", "e", "c", "o", "n", "d" ] }, "7": { "input": "album", "output": "a l b u m", "word_letters_list": [ "a", "l", "b", "u", "m" ] }, "8": { "input": "song", "output": "s o n g", "word_letters_list": [ "s", "o", "n", "g" ] }, "9": { "input": "number", "output": "n u m b e r", "word_letters_list": [ "n", "u", "m", "b", "e", "r" ] }, "10": { 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"e" ] }, "30": { "input": "home", "output": "h o m e", "word_letters_list": [ "h", "o", "m", "e" ] }, "31": { "input": "band", "output": "b a n d", "word_letters_list": [ "b", "a", "n", "d" ] }, "32": { "input": "record", "output": "r e c o r d", "word_letters_list": [ "r", "e", "c", "o", "r", "d" ] }, "33": { "input": "ship", "output": "s h i p", "word_letters_list": [ "s", "h", "i", "p" ] }, "34": { "input": "world", "output": "w o r l d", "word_letters_list": [ "w", "o", "r", "l", "d" ] }, "35": { "input": "death", "output": "d e a t h", "word_letters_list": [ "d", "e", "a", "t", "h" ] }, "36": { "input": "release", "output": "r e l e a s e", "word_letters_list": [ "r", "e", "l", "e", "a", "s", "e" ] }, "37": { "input": "video", "output": "v i d e o", "word_letters_list": [ "v", "i", "d", "e", "o" ] }, "38": { "input": "role", "output": "r o l e", "word_letters_list": [ "r", "o", "l", "e" ] }, "39": { "input": "match", "output": "m a t c h", "word_letters_list": [ "m", "a", "t", 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"f r e e s t y l e", "word_letters_list": [ "f", "r", "e", "e", "s", "t", "y", "l", "e" ] }, "1928": { "input": "grandmother", "output": "g r a n d m o t h e r", "word_letters_list": [ "g", "r", "a", "n", "d", "m", "o", "t", "h", "e", "r" ] }, "1929": { "input": "marble", "output": "m a r b l e", "word_letters_list": [ "m", "a", "r", "b", "l", "e" ] }, "1930": { "input": "civilization", "output": "c i v i l i z a t i o n", "word_letters_list": [ "c", "i", "v", "i", "l", "i", "z", "a", "t", "i", "o", "n" ] }, "1931": { "input": "rode", "output": "r o d e", "word_letters_list": [ "r", "o", "d", "e" ] }, "1932": { "input": "guidance", "output": "g u i d a n c e", "word_letters_list": [ "g", "u", "i", "d", "a", "n", "c", "e" ] }, "1933": { "input": "controller", "output": "c o n t r o l l e r", "word_letters_list": [ "c", "o", "n", "t", "r", "o", "l", "l", "e", "r" ] }, "1934": { "input": "hometown", "output": "h o m e t o w n", "word_letters_list": [ "h", "o", "m", "e", "t", "o", "w", "n" 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"1943": { "input": "accounting", "output": "a c c o u n t i n g", "word_letters_list": [ "a", "c", "c", "o", "u", "n", "t", "i", "n", "g" ] }, "1944": { "input": "torture", "output": "t o r t u r e", "word_letters_list": [ "t", "o", "r", "t", "u", "r", "e" ] }, "1945": { "input": "demolition", "output": "d e m o l i t i o n", "word_letters_list": [ "d", "e", "m", "o", "l", "i", "t", "i", "o", "n" ] }, "1946": { "input": "farmland", "output": "f a r m l a n d", "word_letters_list": [ "f", "a", "r", "m", "l", "a", "n", "d" ] }, "1947": { "input": "copyright", "output": "c o p y r i g h t", "word_letters_list": [ "c", "o", "p", "y", "r", "i", "g", "h", "t" ] }, "1948": { "input": "complexity", "output": "c o m p l e x i t y", "word_letters_list": [ "c", "o", "m", "p", "l", "e", "x", "i", "t", "y" ] }, "1949": { "input": "recipient", "output": "r e c i p i e n t", "word_letters_list": [ "r", "e", "c", "i", "p", "i", "e", "n", "t" ] }, "1950": { "input": "nurse", "output": "n u r s e", "word_letters_list": [ "n", "u", "r", "s", "e" ] }, "1951": { "input": "interface", "output": "i n t e r f a c e", "word_letters_list": [ "i", "n", "t", "e", "r", "f", "a", "c", "e" ] }, "1952": { "input": "manufacture", "output": "m a n u f a c t u r e", "word_letters_list": [ "m", "a", "n", "u", "f", "a", "c", "t", "u", "r", "e" ] }, "1953": { "input": "qualification", "output": "q u a l i f i c a t i o n", "word_letters_list": [ "q", "u", "a", "l", "i", "f", "i", "c", "a", "t", "i", "o", "n" ] }, "1954": { "input": "cancellation", "output": "c a n c e l l a t i o n", "word_letters_list": [ "c", "a", "n", "c", "e", "l", "l", "a", "t", "i", "o", "n" ] }, "1955": { "input": "helium", "output": "h e l i u m", "word_letters_list": [ "h", "e", "l", "i", "u", "m" ] }, "1956": { "input": "violation", "output": "v i o l a t i o n", "word_letters_list": [ "v", "i", "o", "l", "a", "t", "i", "o", "n" ] }, "1957": { "input": "discharge", "output": "d i s c h a r g e", "word_letters_list": [ "d", "i", "s", "c", "h", "a", "r", "g", "e" ] }, "1958": { "input": "broadcasting", "output": "b r o a d c a s t i n g", "word_letters_list": [ "b", "r", "o", "a", "d", "c", "a", "s", "t", "i", "n", "g" ] }, "1959": { "input": "bedroom", "output": "b e d r o o m", "word_letters_list": [ "b", "e", "d", "r", "o", "o", "m" ] }, "1960": { "input": "tackle", "output": "t a c k l e", "word_letters_list": [ "t", "a", "c", "k", "l", "e" ] }, "1961": { "input": "ancestor", "output": "a n c e s t o r", "word_letters_list": [ "a", "n", "c", "e", "s", "t", "o", "r" ] }, "1962": { "input": "premise", "output": "p r e m i s e", "word_letters_list": [ "p", "r", "e", "m", "i", "s", "e" ] }, "1963": { "input": "trace", "output": "t r a c e", "word_letters_list": [ "t", "r", "a", "c", "e" ] }, "1964": { "input": "boost", "output": "b o o s t", "word_letters_list": [ "b", "o", "o", "s", "t" ] }, "1965": { "input": "offspring", "output": "o f f s p r i n g", "word_letters_list": [ "o", "f", "f", "s", "p", "r", "i", "n", "g" ] }, "1966": { "input": "perimeter", "output": "p e r i m e t e r", "word_letters_list": [ "p", "e", "r", "i", "m", "e", "t", "e", "r" ] }, "1967": { "input": "oxide", "output": "o x i d e", "word_letters_list": [ "o", "x", "i", "d", "e" ] }, "1968": { "input": "nitrogen", "output": "n i t r o g e n", "word_letters_list": [ "n", "i", "t", "r", "o", "g", "e", "n" ] }, "1969": { "input": "dioxide", "output": "d i o x i d e", "word_letters_list": [ "d", "i", "o", "x", "i", "d", "e" ] }, "1970": { "input": "auction", "output": "a u c t i o n", "word_letters_list": [ "a", "u", "c", "t", "i", "o", "n" ] }, "1971": { "input": "defender", "output": "d e f e n d e r", "word_letters_list": [ "d", "e", "f", "e", "n", "d", "e", "r" ] }, "1972": { "input": "dining", "output": "d i n i n g", "word_letters_list": [ "d", "i", "n", "i", "n", "g" ] }, "1973": { "input": "yield", "output": "y i e l d", "word_letters_list": [ "y", "i", "e", "l", "d" ] }, "1974": { "input": "kit", "output": 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"o", "n" ] }, "1983": { "input": "particle", "output": "p a r t i c l e", "word_letters_list": [ "p", "a", "r", "t", "i", "c", "l", "e" ] }, "1984": { "input": "aesthetic", "output": "a e s t h e t i c", "word_letters_list": [ "a", "e", "s", "t", "h", "e", "t", "i", "c" ] }, "1985": { "input": "patch", "output": "p a t c h", "word_letters_list": [ "p", "a", "t", "c", "h" ] }, "1986": { "input": "feedback", "output": "f e e d b a c k", "word_letters_list": [ "f", "e", "e", "d", "b", "a", "c", "k" ] }, "1987": { "input": "brass", "output": "b r a s s", "word_letters_list": [ "b", "r", "a", "s", "s" ] }, "1988": { "input": "ballet", "output": "b a l l e t", "word_letters_list": [ "b", "a", "l", "l", "e", "t" ] }, "1989": { "input": "combine", "output": "c o m b i n e", "word_letters_list": [ "c", "o", "m", "b", "i", "n", "e" ] }, "1990": { "input": "hiatus", "output": "h i a t u s", "word_letters_list": [ "h", "i", "a", "t", "u", "s" ] }, "1991": { "input": "orientation", "output": "o r i 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"i", "v", "i", "t", "y" ] }, "3252": { "input": "discourse", "output": "d i s c o u r s e", "word_letters_list": [ "d", "i", "s", "c", "o", "u", "r", "s", "e" ] }, "3253": { "input": "doorway", "output": "d o o r w a y", "word_letters_list": [ "d", "o", "o", "r", "w", "a", "y" ] }, "3254": { "input": "rink", "output": "r i n k", "word_letters_list": [ "r", "i", "n", "k" ] }, "3255": { "input": "distortion", "output": "d i s t o r t i o n", "word_letters_list": [ "d", "i", "s", "t", "o", "r", "t", "i", "o", "n" ] }, "3256": { "input": "grape", "output": "g r a p e", "word_letters_list": [ "g", "r", "a", "p", "e" ] }, "3257": { "input": "reversal", "output": "r e v e r s a l", "word_letters_list": [ "r", "e", "v", "e", "r", "s", "a", "l" ] }, "3258": { "input": "whaling", "output": "w h a l i n g", "word_letters_list": [ "w", "h", "a", "l", "i", "n", "g" ] }, "3259": { "input": "centimeter", "output": "c e n t i m e t e r", "word_letters_list": [ "c", "e", "n", "t", "i", "m", "e", "t", "e", "r" ] }, "3260": { "input": "sensory", "output": "s e n s o r y", "word_letters_list": [ "s", "e", "n", "s", "o", "r", "y" ] }, "3261": { "input": "heel", "output": "h e e l", "word_letters_list": [ "h", "e", "e", "l" ] }, "3262": { "input": "secrecy", "output": "s e c r e c y", "word_letters_list": [ "s", "e", "c", "r", "e", "c", "y" ] }, "3263": { "input": "wavelength", "output": "w a v e l e n g t h", "word_letters_list": [ "w", "a", "v", "e", "l", "e", "n", "g", "t", "h" ] }, "3264": { "input": "arbitration", "output": "a r b i t r a t i o n", "word_letters_list": [ "a", "r", "b", "i", "t", "r", "a", "t", "i", "o", "n" ] }, "3265": { "input": "nectar", "output": "n e c t a r", "word_letters_list": [ "n", "e", "c", "t", "a", "r" ] }, "3266": { "input": "prevention", "output": "p r e v e n t i o n", "word_letters_list": [ "p", "r", "e", "v", "e", "n", "t", "i", "o", "n" ] }, "3267": { "input": "fringe", "output": "f r i n g e", "word_letters_list": [ "f", "r", "i", "n", "g", "e" ] }, "3268": { "input": "lockout", "output": "l o c k o u t", "word_letters_list": [ "l", "o", "c", "k", "o", "u", "t" ] }, "3269": { "input": "transcription", "output": "t r a n s c r i p t i o n", "word_letters_list": [ "t", "r", "a", "n", "s", "c", "r", "i", "p", "t", "i", "o", "n" ] }, "3270": { "input": "peacetime", "output": "p e a c e t i m e", "word_letters_list": [ "p", "e", "a", "c", "e", "t", "i", "m", "e" ] }, "3271": { "input": "dietary", "output": "d i e t a r y", "word_letters_list": [ "d", "i", "e", "t", "a", "r", "y" ] }, "3272": { "input": "whistle", "output": "w h i s t l e", "word_letters_list": [ "w", "h", "i", "s", "t", "l", "e" ] }, "3273": { "input": "spear", "output": "s p e a r", "word_letters_list": [ "s", "p", "e", "a", "r" ] }, "3274": { "input": "commencement", "output": "c o m m e n c e m e n t", "word_letters_list": [ "c", "o", "m", "m", "e", "n", "c", "e", "m", "e", "n", "t" ] }, "3275": { "input": "offseason", "output": "o f f s e a s o n", "word_letters_list": [ "o", "f", "f", "s", "e", "a", "s", "o", "n" ] }, "3276": { "input": "hint", "output": "h i n t", "word_letters_list": [ "h", "i", "n", "t" ] }, "3277": { "input": "boot", "output": "b o o t", "word_letters_list": [ "b", "o", "o", "t" ] }, "3278": { "input": "nationality", "output": "n a t i o n a l i t y", "word_letters_list": [ "n", "a", "t", "i", "o", "n", "a", "l", "i", "t", "y" ] }, "3279": { "input": "puck", "output": "p u c k", "word_letters_list": [ "p", "u", "c", "k" ] }, "3280": { "input": "simulate", "output": "s i m u l a t e", "word_letters_list": [ "s", "i", "m", "u", "l", "a", "t", "e" ] }, "3281": { "input": "titanium", "output": "t i t a n i u m", "word_letters_list": [ "t", "i", "t", "a", "n", "i", "u", "m" ] }, "3282": { "input": "rapping", "output": "r a p p i n g", "word_letters_list": [ "r", "a", "p", "p", "i", "n", "g" ] }, "3283": { "input": "waist", "output": "w a i s t", "word_letters_list": [ "w", "a", "i", "s", "t" ] }, "3284": { "input": "classroom", "output": "c l a s s r o o m", "word_letters_list": [ "c", "l", "a", "s", "s", "r", "o", "o", "m" ] }, "3285": { "input": "manoeuvre", "output": "m a n o e u v r e", "word_letters_list": [ "m", "a", "n", "o", "e", "u", "v", "r", "e" ] }, "3286": { "input": "algae", "output": "a l g a e", "word_letters_list": [ "a", "l", "g", "a", "e" ] }, "3287": { "input": "irony", "output": "i r o n y", "word_letters_list": [ "i", "r", "o", "n", "y" ] }, "3288": { "input": "rental", "output": "r e n t a l", "word_letters_list": [ "r", "e", "n", "t", "a", "l" ] }, "3289": { "input": "tap", "output": "t a p", "word_letters_list": [ "t", "a", "p" ] }, "3290": { "input": "drafting", "output": "d r a f t i n g", "word_letters_list": [ "d", "r", "a", "f", "t", "i", "n", "g" ] }, "3291": { "input": "intro", "output": "i n t r o", "word_letters_list": [ "i", "n", "t", "r", "o" ] }, "3292": { "input": "consul", "output": "c o n s u l", "word_letters_list": [ "c", "o", "n", "s", "u", "l" ] }, "3293": { "input": "imitation", "output": "i m i t a t i o n", "word_letters_list": [ "i", "m", "i", "t", "a", "t", "i", "o", "n" ] }, "3294": { "input": "weaving", "output": "w e a v i n g", "word_letters_list": [ "w", "e", "a", "v", "i", "n", "g" ] }, "3295": { "input": "octagonal", "output": "o c t a g o n a l", "word_letters_list": [ "o", "c", "t", "a", "g", "o", "n", "a", "l" ] }, "3296": { "input": "acquaintance", "output": "a c q u a i n t a n c e", "word_letters_list": [ "a", "c", "q", "u", "a", "i", "n", "t", "a", "n", "c", "e" ] }, "3297": { "input": "destiny", "output": "d e s t i n y", "word_letters_list": [ "d", "e", "s", "t", "i", "n", "y" ] }, "3298": { "input": "incidence", "output": "i n c i d e n c e", "word_letters_list": [ "i", "n", "c", "i", "d", "e", "n", "c", "e" ] }, "3299": { "input": "rigging", "output": "r i g g i n g", "word_letters_list": [ "r", "i", "g", "g", "i", "n", "g" ] }, "3300": { "input": "bidding", "output": "b i d d i n g", "word_letters_list": [ "b", "i", "d", "d", "i", "n", "g" ] }, "3301": { "input": "convict", "output": "c o n v i c t", "word_letters_list": [ "c", "o", "n", "v", "i", "c", "t" ] }, "3302": { "input": "upbringing", "output": "u p b r i n g i n g", "word_letters_list": [ "u", "p", "b", "r", "i", "n", "g", "i", "n", "g" ] }, "3303": { "input": "boiling", "output": "b o i l i n g", "word_letters_list": [ "b", "o", "i", "l", "i", "n", "g" ] }, "3304": { "input": "venom", "output": "v e n o m", "word_letters_list": [ "v", "e", "n", "o", "m" ] }, "3305": { "input": "courtesy", "output": "c o u r t e s y", "word_letters_list": [ "c", "o", "u", "r", "t", "e", "s", "y" ] }, "3306": { "input": "interlude", "output": "i n t e r l u d e", "word_letters_list": [ "i", "n", "t", "e", "r", "l", "u", "d", "e" ] } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/induce/negation.json ================================================ { "metadata": { "num_examples": 904 }, "examples": { "1": { "input": "To emphasize the 50th anniversary of the Super Bowl the gold color was used.", "output": "To emphasize the 50th anniversary of the Super Bowl the gold color was not used.", "orig_id": "56be4db0acb8001400a502f0_0" }, "2": { "input": "Von Miller plays in linebacker position for the Denver Broncos.", "output": "Von Miller does not play in linebacker position for the Denver Broncos.", "orig_id": "56bf17653aeaaa14008c9513_0" }, "3": { "input": "The TGIF comedy Family Matters for the 1997-98 season was originally aired by CBS.", "output": "The TGIF comedy Family Matters for the 1997-98 season was not originally aired by CBS.", "orig_id": "57273b69dd62a815002e99d8_0" }, "4": { "input": "Thomas Davis broke his arm during the NFC Championship Game.", "output": "Thomas Davis did not break his arm during the NFC Championship Game.", "orig_id": "56bf3a223aeaaa14008c9576_0" }, "5": { "input": "The first choice in the NFL draft of 1998 was Manning.", "output": "The first choice in the NFL draft of 1998 was not Manning.", "orig_id": "56bf41013aeaaa14008c959b_0" }, "6": { "input": "The Panthers head coach for the 2015 season was Rivera.", "output": "The Panthers head coach for the 2015 season was not Rivera.", "orig_id": "56d709ef0d65d21400198306_0" }, "7": { "input": "The primary race of students attending Christian academies was white.", "output": "The primary race of students attending Christian academies was not white.", "orig_id": "572757bef1498d1400e8f693_0" }, "8": { "input": "The color of the jerseys in Super Bowl XXXII when Elway was quarterback was blue.", "output": "The color of the jerseys in Super Bowl XXXII when Elway was quarterback was not blue.", "orig_id": "56d9a637dc89441400fdb698_0" }, "9": { "input": "jersey Denver 0-4 is colored in orange.", "output": "jersey Denver 0-4 is not colored in orange.", "orig_id": "56d9a637dc89441400fdb699_0" }, "10": { "input": "The Media Day for Super Bowl 50 was held on Monday.", "output": "The Media Day for Super Bowl 50 was not held on Monday.", "orig_id": "56bf57043aeaaa14008c95da_0" }, "11": { "input": "The Super Bowl sponsor was the Gap clothing company.", "output": "The Super Bowl sponsor was not the Gap clothing company.", "orig_id": "56bebe873aeaaa14008c9342_0" }, "12": { "input": "For Super Bowl 50 cameras were put on pylons.", "output": "For Super Bowl 50 cameras were not put on pylons.", "orig_id": "56d9b7dcdc89441400fdb744_0" }, "13": { "input": "The ad shown during the Super Bowl for the next Jason Bourne movie was paid by Universal.", "output": "The ad shown during the Super Bowl for the next Jason Bourne movie was not paid by Universal.", "orig_id": "56d9bf70dc89441400fdb77c_0" }, "14": { "input": "Richard G. Wilkinson and Kate Pickett are British.", "output": "Richard G. Wilkinson and Kate Pickett are not British.", "orig_id": "572a06866aef0514001551be_0" }, "15": { "input": "Gary Kubiak partedipated in the Super Bowl, as a player with the Broncos.", "output": "Gary Kubiak did not partedipate in the Super Bowl, as a player with the Broncos.", "orig_id": "56d7277c0d65d21400198402_0" }, "16": { "input": "Warsaw is the most diverse city in Poland.", "output": "Warsaw is not the most diverse city in Poland.", "orig_id": "57337ea24776f41900660bd0_0" }, "17": { "input": "A significant minority of in Warsaw were Jewish.", "output": "A significant minority of in Warsaw were not Jewish.", "orig_id": "57337ea24776f41900660bd1_0" }, "18": { "input": "Zbigniew Badowski is an architect.", "output": "Zbigniew Badowski is not an architect.", "orig_id": "57339902d058e614000b5e72_0" }, "19": { "input": "During the Eastern Bloc economy in Warsaw infrastructure suffered considerably.", "output": "During the Eastern Bloc economy in Warsaw infrastructure did not suffer considerably.", "orig_id": "573399b54776f41900660e64_0" }, "20": { "input": "The best medical facilities in East-Central Europe are located in Warsaw.", "output": "The best medical facilities in East-Central Europe are not located in Warsaw.", "orig_id": "57339a554776f41900660e74_0" }, "21": { "input": "The Teatr Wielki is a theatre.", "output": "The Teatr Wielki is not a theatre.", "orig_id": "57339ad74776f41900660e86_0" }, "22": { "input": "Botanic Garden and University Library garden are green spaces in Warsaw.", "output": "Botanic Garden and University Library garden are not green spaces in Warsaw.", "orig_id": "573368044776f41900660a29_0" }, "23": { "input": "The City Council divide itself into committees.", "output": "The City Council do not divide itself into committees.", "orig_id": "57338160d058e614000b5bfc_0" }, "24": { "input": "The mayor of Warsaw called is called the President.", "output": "The mayor of Warsaw called is not called the President.", "orig_id": "57338255d058e614000b5c0d_0" }, "25": { "input": "In the Treaty of Lisbon 2007 Ireland refused to content to changes.", "output": "In the Treaty of Lisbon 2007 Ireland did not refuse to content to changes.", "orig_id": "572691545951b619008f76e4_0" }, "26": { "input": "The Normans combine with the Irish culture in Ireland.", "output": "The Normans combine with the Irish culture in Ireland.", "orig_id": "56de179dcffd8e1900b4b5dc_0" }, "27": { "input": "The Davidian Revolution refers to the arrival of the Norman culture in Scotland.", "output": "The Davidian Revolution does not refer to the arrival of the Norman culture in Scotland.", "orig_id": "56de3cd0cffd8e1900b4b6bf_0" }, "28": { "input": "Tancred play a roll in the conquest of Jerusalem.", "output": "Tancred do not play a roll in the conquest of Jerusalem.", "orig_id": "56de3ebc4396321400ee26e8_0" }, "29": { "input": "Isaac's chains made out of silver.", "output": "Isaac's chains were not made out of silver.", "orig_id": "56de40da4396321400ee2709_0" }, "30": { "input": "Canarian Islands are located off the coast of Africa.", "output": "Canarian Islands are not located off the coast of Africa.", "orig_id": "56de49564396321400ee277a_0" }, "31": { "input": "The Norman architecture idiom is the Romanesque.", "output": "The Norman architecture idiom is not the Romanesque.", "orig_id": "56de4a89cffd8e1900b4b7bd_0" }, "32": { "input": "The Saint-Evroul monks were known for the singing tradition.", "output": "The Saint-Evroul monks were not known for the singing tradition.", "orig_id": "56de52614396321400ee27fe_0" }, "33": { "input": "Nikola Tesla was Serbian by ethnicity.", "output": "Nikola Tesla was not Serbian by ethnicity.", "orig_id": "56df9e2838dc4217001520f8_0" }, "34": { "input": "Nikola Tesla was born in modern-day Croatia.", "output": "Nikola Tesla was not born in modern-day Croatia.", "orig_id": "56dfa13d4a1a83140091ebc1_0" }, "35": { "input": "Tesla's brother's name is Dane.", "output": "Tesla's brother's name is not Dane.", "orig_id": "56e0c0c7231d4119001ac375_0" }, "36": { "input": "After leaving Gospic, Tesla went to Prague.", "output": "After leaving Gospic, Tesla did not go to Prague.", "orig_id": "56e0cdb9231d4119001ac3c7_0" }, "37": { "input": "After starting his company, Tesla first received patents.", "output": "After starting his company, Tesla first did not receive patents.", "orig_id": "56dfb5777aa994140058e024_0" }, "38": { "input": "In 1888, Tesla worked in Pittsburgh.", "output": "In 1888, Tesla did not worke in Pittsburgh.", "orig_id": "56e059c8231d4119001ac057_0" }, "39": { "input": "Tesla was in favour of the AC current type.", "output": "Tesla was not in favour of the AC current type.", "orig_id": "56e0e5f37aa994140058e78b_0" }, "40": { "input": "The 1893 World's Columbian Exposition was held in Chicago.", "output": "The 1893 World's Columbian Exposition was not held in Chicago.", "orig_id": "56e07c86231d4119001ac1ce_0" }, "41": { "input": "At his lab, Tesla showed off a wireless power transmission.", "output": "At his lab, Tesla did not show off a wireless power transmission.", "orig_id": "56e0ef90231d4119001ac46b_0" }, "42": { "input": "Tesla created the natural phenomenon of lightning artifically.", "output": "Tesla did not create the natural phenomenon of lightning artifically.", "orig_id": "56e0fe85e3433e1400422a6a_0" }, "43": { "input": "Tesla tried to get money from Morgan.", "output": "Tesla did not try to get money from Morgan.", "orig_id": "56e101f4e3433e1400422a8e_0" }, "44": { "input": "Prior to WWI, Tesla looked for investors overseas.", "output": "Prior to WWI, Tesla did not look for investors overseas.", "orig_id": "56e1075ae3433e1400422afa_0" }, "45": { "input": "Tesla's property was sent to Belgrade.", "output": "Tesla's property was not sent to Belgrade.", "orig_id": "56e1127bcd28a01900c67549_0" }, "46": { "input": "Thomas B. Edsall's profession is journalist.", "output": "Thomas B. Edsall's profession is not journalist.", "orig_id": "572a0c541d046914007796f7_0" }, "47": { "input": "In relationship to Tesla, Julian Hathorne was a friend.", "output": "In relationship to Tesla, Julian Hathorne was not a friend.", "orig_id": "56e11f05e3433e1400422c32_0" }, "48": { "input": "Tesla considered a curved shape of space as a \"false conception\".", "output": "Tesla did not consider a curved shape of space as a \"false conception\".", "orig_id": "56e121b7e3433e1400422c52_0" }, "49": { "input": "In Tesla's opinion, the attribute of human pity interfered with nature's ruthlessness.", "output": "In Tesla's opinion, the attribute of human pity did not interfer with nature's ruthlessness.", "orig_id": "56e122dacd28a01900c6763b_0" }, "50": { "input": "A Turing machine handles symbols on a strip of tape.", "output": "A Turing machine does not handle symbols on a strip of tape.", "orig_id": "56e1aba0e3433e1400423098_0" }, "51": { "input": "The most critical resource measured to in assessing the determination of a Turing machine's ability to solve any given set of problems is time.", "output": "The most critical resource measured to in assessing the determination of a Turing machine's ability to solve any given set of problems is not time.", "orig_id": "56e1b62ecd28a01900c67aa6_0" }, "52": { "input": "When extensive time is required to sort integers, the complexity is worst case.", "output": "When extensive time is required to sort integers, the complexity is not worst case.", "orig_id": "56e1ba41cd28a01900c67ae1_1" }, "53": { "input": "The complexity class to characterize computational tasks and efficient algorithms is P.", "output": "The complexity class to characterize computational tasks and efficient algorithms is not P.", "orig_id": "56e1dc62cd28a01900c67bca_0" }, "54": { "input": "A factor that may make a teacher's role vary is different cultures.", "output": "A factor that may make a teacher's role vary is not different cultures.", "orig_id": "56e748a200c9c71400d76f37_0" }, "55": { "input": "Quran is a religious text.", "output": "Quran is not a religious text.", "orig_id": "56e74af500c9c71400d76f66_0" }, "56": { "input": "Another type of accountant other than a CPA is a Chartered.", "output": "Another type of accountant other than a CPA is not a Chartered.", "orig_id": "56e74bf937bdd419002c3e35_0" }, "57": { "input": "If a teacher teaches not inside a building, they might teach outdoors.", "output": "If a teacher teaches not inside a building, they might not teach outdoors.", "orig_id": "56e7504437bdd419002c3e5b_0" }, "58": { "input": "Another indoor place where teachers teach is an academy.", "output": "Another indoor place where teachers teach is not an academy.", "orig_id": "56e7504437bdd419002c3e5d_0" }, "59": { "input": "Another way of learning that is not formal is informal.", "output": "Another way of learning that is not informal is informal.", "orig_id": "56e751fb00c9c71400d76fa8_0" }, "60": { "input": "An objective that would be labeled as practical is a skill.", "output": "An objective that would be labeled as practical is not a skill.", "orig_id": "56e7535037bdd419002c3e6f_0" }, "61": { "input": "A teacher would help a student with their learning disability.", "output": "A teacher would not help a student with their learning disability.", "orig_id": "56e7535037bdd419002c3e71_0" }, "62": { "input": "Tor someone who is timid, a teacher would likely encourage that person.", "output": "Tor someone who is timid, a teacher would not likely encourage that person.", "orig_id": "56e7542f00c9c71400d76fbe_0" }, "63": { "input": "Teachers are expected to give respect to their students.", "output": "Teachers are expected to not give respect to their students.", "orig_id": "56e75b8237bdd419002c3ed5_0" }, "64": { "input": "A country that has problem with classroom discipline, even though scores on tests are high, is Japan.", "output": "A country that has problem with classroom discipline, even 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schools are called Gymnasium.", "output": "Upper-level secondary schools are not called Gymnasium.", "orig_id": "56e76f7000c9c71400d77130_0" }, "70": { "input": "In Scontland, Teaching is considered an all graduate profession.", "output": "In Scontland, Teaching is not considered an all graduate profession.", "orig_id": "56e775ec00c9c71400d7715d_0" }, "71": { "input": "In Wales, the language Welsh is used to educate.", "output": "In Wales, the language Welsh is not used to educate.", "orig_id": "56e777e500c9c71400d77177_0" }, "72": { "input": "The average of teachers in Wales has been falling.", "output": "The average of teachers in Wales has not been falling.", "orig_id": "56e7788200c9c71400d77181_0" }, "73": { "input": "Luther started to pursue and immediately dropped the educational study of law.", "output": "Luther did not start to pursue and immediately drop the educational study of law.", "orig_id": "56f7eba8a6d7ea1400e172cd_0" }, "74": { "input": "Luther thought the study of law 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"input": "Luther writes that this life doesn't have justice.", "output": "Luther writes that this life has justice.", "orig_id": "56f82b25a6d7ea1400e1745b_0" }, "80": { "input": "According to Schurf's letter Luther's return caused joy.", "output": "According to Schurf's letter Luther's return did not cause joy.", "orig_id": "56f84a60aef2371900625fa0_0" }, "81": { "input": "Luther was an adviser in other areas' churches.", "output": "Luther was not an adviser in other areas' churches.", "orig_id": "56f85bb8aef2371900626011_0" }, "82": { "input": "Luther's hymn Christ unser Herr zum jordan kam concerns baptism.", "output": "Luther's hymn Christ unser Herr zum jordan kam does not concern baptism.", "orig_id": "56f87e95aef237190062610a_0" }, "83": { "input": "The baptismal hymn was used in Halle to introduce the Reformation.", "output": "The baptismal hymn was not used in Halle to introduce the Reformation.", "orig_id": "56f87e95aef237190062610e_0" }, "84": { "input": "Fritschel said the man's sleep was disturbed by dreams.", "output": "Fritschel said the man's sleep was not disturbed by dreams.", "orig_id": "56f88690a6d7ea1400e17727_0" }, "85": { "input": "According to Luther the faith's greatest enemy is reason.", "output": "According to Luther the faith's greatest enemy is not reason.", "orig_id": "56f895339e9bad19000a017a_0" }, "86": { "input": "In later years Luther strike out against Jews.", "output": "In later years Luther does not strike out against Jews.", "orig_id": "56f897059b226e1400dd0c5f_0" }, "87": { "input": "Supporters of Islamism believe their views reflect Islam.", "output": "Supporters of Islamism believe their views do not reflect Islam.", "orig_id": "572ff932a23a5019007fcbd6_0" }, "88": { "input": "Southern California touches Pacific coastline.", "output": "Southern California does not touch Pacific coastline.", "orig_id": "5705e3f252bb89140068966a_0" }, "89": { "input": "In terms of most populous counties in the United States the lowest ranking 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"Schools that receive government assistance are called aided.", "output": "Schools that receive government assistance are not called aided.", "orig_id": "57274e145951b619008f87e7_0" }, "185": { "input": "Along with Hamilton, Wellington and Christchurch, Auckland is one of the largest cities in New Zealand.", "output": "Along with Hamilton, Wellington and Christchurch, Auckland is not one of the largest cities in New Zealand.", "orig_id": "57274eca5951b619008f8803_0" }, "186": { "input": "The Diocesan School for Girls in Auckland is affiliated with Anglican denomination.", "output": "The Diocesan School for Girls in Auckland is not affiliated with Anglican denomination.", "orig_id": "57274f49f1498d1400e8f61e_0" }, "187": { "input": "Samuel Marsden Collegiate School is located in Wellington.", "output": "Samuel Marsden Collegiate School is not located in Wellington.", "orig_id": "57274f49f1498d1400e8f61f_0" }, "188": { "input": "preparatory schools prepare British children to attend 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"input": "Zhu Shijie did work similar the modern math concept of matrices.", "output": "Zhu Shijie did not work similar the modern math concept of matrices.", "orig_id": "5728804b4b864d1900164a48_0" }, "217": { "input": "The second meaning of a Chinese word for 'barracks' is thanks.", "output": "The second meaning of a Chinese word for 'barracks' is not thanks.", "orig_id": "57288428ff5b5019007da291_0" }, "218": { "input": "The couhtry to the south of kenya is is Tanzania.", "output": "The couhtry to the south of kenya is not Tanzania.", "orig_id": "5728dab94b864d1900164f99_0" }, "219": { "input": "on the CPI scale, Kenya ranks low.", "output": "on the CPI scale, Kenya does not rank low.", "orig_id": "57290b21af94a219006a9fcf_0" }, "220": { "input": "The most industrially developed country in the African Great Lakes Region is Kenya.", "output": "The most industrially developed country in the African Great Lakes Region is not Kenya.", "orig_id": "57291beb1d04691400779053_0" }, "221": { 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{ "input": "Gail Sidonie Sobat was born in Calgary.", "output": "Gail Sidonie Sobat was not born in Calgary.", "orig_id": "0cefc7f8-cc51-42de-85f0-74cd8c08978e" }, "273": { "input": "Ludvig Drescher was born in Copenhagen.", "output": "Ludvig Drescher was not born in Copenhagen.", "orig_id": "0eb84241-1f35-499d-9c55-0fd050bf2790" }, "274": { "input": "Eugène Lanti was born in Normandy.", "output": "Eugène Lanti was not born in Normandy.", "orig_id": "13806b7d-740e-4314-8cda-5b6895fb924e" }, "275": { "input": "Siamak Shayeghi was born in Iran.", "output": "Siamak Shayeghi was not born in Iran.", "orig_id": "530478ba-6e3e-4884-a336-9539757d6ad4" }, "276": { "input": "Paweł Zalewski was born in Warsaw.", "output": "Paweł Zalewski was not born in Warsaw.", "orig_id": "d5818dfa-2ca5-411a-9555-67f1b75e8019" }, "277": { "input": "Andrea Neil was born in Vancouver.", "output": "Andrea Neil was not born in Vancouver.", "orig_id": "17427a56-4a78-4234-9f5c-7fc4dc2e250d" }, "278": { "input": "John 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Less was not born in Berlin.", "orig_id": "6ef5a3cb-a6d4-473d-99d1-de1b74c714ad" }, "285": { "input": "William Reed was born in Montreal.", "output": "William Reed was not born in Montreal.", "orig_id": "154d1e21-1590-46a5-9dc8-4e562fbc4e4d" }, "286": { "input": "Frank Sayers was born in London.", "output": "Frank Sayers was not born in London.", "orig_id": "451fe136-8dee-4154-8be5-f8e19d1f1ea4" }, "287": { "input": "Arthur Kinnaird, 11th Lord Kinnaird was born in Kensington.", "output": "Arthur Kinnaird, 11th Lord Kinnaird was not born in Kensington.", "orig_id": "65b1057b-9290-410e-8c97-701f2830fff0" }, "288": { "input": "Ma Kelu was born in Shanghai.", "output": "Ma Kelu was not born in Shanghai.", "orig_id": "3bdeb857-cf75-4531-a10d-7a84a6532d83" }, "289": { "input": "Jan Čulík was born in Prague.", "output": "Jan Čulík was not born in Prague.", "orig_id": "56a8bf67-268d-41dc-8ab7-8fb07cf89862" }, "290": { "input": "John Boling was born in Indianapolis.", "output": "John Boling was 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"394": { "input": "Marian Porwit died in Warsaw.", "output": "Marian Porwit did not die in Warsaw.", "orig_id": "8b0322bd-1a43-43b8-b832-093aabfb05f6" }, "395": { "input": "Bill Stall died in Sacramento.", "output": "Bill Stall did not die in Sacramento.", "orig_id": "cba08473-0433-4d85-843b-27c3aaef4ab1" }, "396": { "input": "James Cannon died in Philadelphia.", "output": "James Cannon did not die in Philadelphia.", "orig_id": "e4357375-fa86-4f36-8e80-ac2d419d3920" }, "397": { "input": "Jacobus Trigland died in Leiden.", "output": "Jacobus Trigland did not die in Leiden.", "orig_id": "2949b35d-d915-487d-a2fb-6db9a1faa5f8" }, "398": { "input": "John Grice died in Melbourne.", "output": "John Grice did not die in Melbourne.", "orig_id": "236aedba-bb0d-4a78-b046-e66b33223403" }, "399": { "input": "Roger Conant died in Beverly.", "output": "Roger Conant did not die in Beverly.", "orig_id": "0a6192b7-0c55-4896-ae80-49dbc2be0c52" }, "400": { "input": "William Jethro Brown died in 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{ "input": "Abbasid Caliphate is located in Africa.", "output": "Abbasid Caliphate is not located in Africa.", "orig_id": "0e8e42b2-0758-4b2b-8a6e-18d044489cbf" }, "783": { "input": "Denise Jannah plays jazz music.", "output": "Denise Jannah does not play jazz music.", "orig_id": "4eb3d7ea-cb65-45b5-b6c9-6974f2015252" }, "784": { "input": "molecule consists of atomic structure.", "output": "molecule does not consist of atomic structure.", "orig_id": "99238fa1-f675-484f-8243-bddd07c57f48" }, "785": { "input": "Presidential Office is a legal term in Taiwan.", "output": "Presidential Office is not a legal term in Taiwan.", "orig_id": "6fc28cb7-7224-49d9-b0be-eb3366e67e33" }, "786": { "input": "The original language of Le chiavi di casa is Italian.", "output": "The original language of Le chiavi di casa is not Italian.", "orig_id": "c310ece1-46d0-421a-9d0e-cc7d0acc6a6e" }, "787": { "input": "Kenya maintains diplomatic relations with Italy.", "output": "Kenya does not maintain diplomatic 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"input": "9848", "output": "nine thousand, eight hundred and forty-eight" }, "9751": { "input": "9849", "output": "nine thousand, eight hundred and forty-nine" }, "9752": { "input": "9850", "output": "nine thousand, eight hundred and fifty" }, "9753": { "input": "9851", "output": "nine thousand, eight hundred and fifty-one" }, "9754": { "input": "9852", "output": "nine thousand, eight hundred and fifty-two" }, "9755": { "input": "9853", "output": "nine thousand, eight hundred and fifty-three" }, "9756": { "input": "9855", "output": "nine thousand, eight hundred and fifty-five" }, "9757": { "input": "9856", "output": "nine thousand, eight hundred and fifty-six" }, "9758": { "input": "9857", "output": "nine thousand, eight hundred and fifty-seven" }, "9759": { "input": "9858", "output": "nine thousand, eight hundred and fifty-eight" }, "9760": { "input": "9859", "output": "nine thousand, eight hundred and fifty-nine" }, "9761": { "input": "9860", "output": "nine thousand, eight hundred and sixty" }, "9762": { "input": "9861", "output": "nine thousand, eight hundred and sixty-one" }, "9763": { "input": "9862", "output": "nine thousand, eight hundred and sixty-two" }, "9764": { "input": "9863", "output": "nine thousand, eight hundred and sixty-three" }, "9765": { "input": "9864", "output": "nine thousand, eight hundred and sixty-four" }, "9766": { "input": "9865", "output": "nine thousand, eight hundred and sixty-five" }, "9767": { "input": "9866", "output": "nine thousand, eight hundred and sixty-six" }, "9768": { "input": "9867", "output": "nine thousand, eight hundred and sixty-seven" }, "9769": { "input": "9868", "output": "nine thousand, eight hundred and sixty-eight" }, "9770": { "input": "9869", "output": "nine thousand, eight hundred and sixty-nine" }, "9771": { "input": "9870", "output": "nine thousand, eight hundred and seventy" }, "9772": { "input": "9871", "output": "nine thousand, eight hundred and seventy-one" }, "9773": { "input": "9872", "output": "nine thousand, eight hundred and seventy-two" }, "9774": { "input": "9873", "output": "nine thousand, eight hundred and seventy-three" }, "9775": { "input": "9874", "output": "nine thousand, eight hundred and seventy-four" }, "9776": { "input": "9875", "output": "nine thousand, eight hundred and seventy-five" }, "9777": { "input": "9876", "output": "nine thousand, eight hundred and seventy-six" }, "9778": { "input": "9877", "output": "nine thousand, eight hundred and seventy-seven" }, "9779": { "input": "9878", "output": "nine thousand, eight hundred and seventy-eight" }, "9780": { "input": "9879", "output": "nine thousand, eight hundred and seventy-nine" }, "9781": { "input": "9880", "output": "nine thousand, eight hundred and eighty" }, "9782": { "input": "9881", "output": "nine thousand, eight hundred and eighty-one" }, "9783": { "input": "9882", "output": "nine thousand, eight hundred and eighty-two" }, "9784": { "input": "9883", "output": "nine thousand, eight hundred and eighty-three" }, "9785": { "input": "9884", "output": "nine thousand, eight hundred and eighty-four" }, "9786": { "input": "9885", "output": "nine thousand, eight hundred and eighty-five" }, "9787": { "input": "9886", "output": "nine thousand, eight hundred and eighty-six" }, "9788": { "input": "9887", "output": "nine thousand, eight hundred and eighty-seven" }, "9789": { "input": "9888", "output": "nine thousand, eight hundred and eighty-eight" }, "9790": { "input": "9889", "output": "nine thousand, eight hundred and eighty-nine" }, "9791": { "input": "9890", "output": "nine thousand, eight hundred and ninety" }, "9792": { "input": "9891", "output": "nine thousand, eight hundred and ninety-one" }, "9793": { "input": "9892", "output": "nine thousand, eight hundred and ninety-two" }, "9794": { "input": "9893", "output": "nine thousand, eight hundred and ninety-three" }, "9795": { "input": "9894", "output": "nine thousand, eight hundred and ninety-four" }, "9796": { "input": "9895", "output": "nine thousand, eight hundred and ninety-five" }, "9797": { "input": "9896", "output": "nine thousand, eight hundred and ninety-six" }, "9798": { "input": "9897", "output": "nine thousand, eight hundred and ninety-seven" }, "9799": { "input": "9898", "output": "nine thousand, eight hundred and ninety-eight" }, "9800": { "input": "9899", "output": "nine thousand, eight hundred and ninety-nine" }, "9801": { "input": "9900", "output": "nine thousand, nine hundred" }, "9802": { "input": "9901", "output": "nine thousand, nine hundred and one" }, "9803": { "input": "9902", "output": "nine thousand, nine hundred and two" }, "9804": { "input": "9903", "output": "nine thousand, nine hundred and three" }, "9805": { "input": "9904", "output": "nine thousand, nine hundred and four" }, "9806": { "input": "9905", "output": "nine thousand, nine hundred and five" }, "9807": { "input": "9906", "output": "nine thousand, nine hundred and six" }, "9808": { "input": "9907", "output": "nine thousand, nine hundred and seven" }, "9809": { "input": "9908", "output": "nine thousand, nine hundred and eight" }, "9810": { "input": "9909", "output": "nine thousand, nine hundred and nine" }, "9811": { "input": "9910", "output": "nine thousand, nine hundred and ten" }, "9812": { "input": "9911", "output": "nine thousand, nine hundred and eleven" }, "9813": { "input": "9912", "output": "nine thousand, nine hundred and twelve" }, "9814": { "input": "9913", "output": "nine thousand, nine hundred and thirteen" }, "9815": { "input": "9914", "output": "nine thousand, nine hundred and fourteen" }, "9816": { "input": "9915", "output": "nine thousand, nine hundred and fifteen" }, "9817": { "input": "9916", "output": "nine thousand, nine hundred and sixteen" }, "9818": { "input": "9917", "output": "nine thousand, nine hundred and seventeen" }, "9819": { "input": "9918", "output": "nine thousand, nine hundred and eighteen" }, "9820": { "input": "9919", "output": "nine thousand, nine hundred and nineteen" }, "9821": { "input": "9920", "output": "nine thousand, nine hundred and twenty" }, "9822": { "input": "9921", "output": "nine thousand, nine hundred and twenty-one" }, "9823": { "input": "9922", "output": "nine thousand, nine hundred and twenty-two" }, "9824": { "input": "9923", "output": "nine thousand, nine hundred and twenty-three" }, "9825": { "input": "9924", "output": "nine thousand, nine hundred and twenty-four" }, "9826": { "input": "9925", "output": "nine thousand, nine hundred and twenty-five" }, "9827": { "input": "9926", "output": "nine thousand, nine hundred and twenty-six" }, "9828": { "input": "9927", "output": "nine thousand, nine hundred and twenty-seven" }, "9829": { "input": "9928", "output": "nine thousand, nine hundred and twenty-eight" }, "9830": { "input": "9929", "output": "nine thousand, nine hundred and twenty-nine" }, "9831": { "input": "9930", "output": "nine thousand, nine hundred and thirty" }, "9832": { "input": "9931", "output": "nine thousand, nine hundred and thirty-one" }, "9833": { "input": "9932", "output": "nine thousand, nine hundred and thirty-two" }, "9834": { "input": "9933", "output": "nine thousand, nine hundred and thirty-three" }, "9835": { "input": "9934", "output": "nine thousand, nine hundred and thirty-four" }, "9836": { "input": "9935", "output": "nine thousand, nine hundred and thirty-five" }, "9837": { "input": "9936", "output": "nine thousand, nine hundred and thirty-six" }, "9838": { "input": "9937", "output": "nine thousand, nine hundred and thirty-seven" }, "9839": { "input": "9938", "output": "nine thousand, nine hundred and thirty-eight" }, "9840": { "input": "9939", "output": "nine thousand, nine hundred and thirty-nine" }, "9841": { "input": "9940", "output": "nine thousand, nine hundred and forty" }, "9842": { "input": "9941", "output": "nine thousand, nine hundred and forty-one" }, "9843": { "input": "9942", "output": "nine thousand, nine hundred and forty-two" }, "9844": { "input": "9943", "output": "nine thousand, nine hundred and forty-three" }, "9845": { "input": "9944", "output": "nine thousand, nine hundred and forty-four" }, "9846": { "input": "9945", "output": "nine thousand, nine hundred and forty-five" }, "9847": { "input": "9946", "output": "nine thousand, nine hundred and forty-six" }, "9848": { "input": "9947", "output": "nine thousand, nine hundred and forty-seven" }, "9849": { "input": "9948", "output": "nine thousand, nine hundred and forty-eight" }, "9850": { "input": "9949", "output": "nine thousand, nine hundred and forty-nine" }, "9851": { "input": "9950", "output": "nine thousand, nine hundred and fifty" }, "9852": { "input": "9951", "output": "nine thousand, nine hundred and fifty-one" }, "9853": { "input": "9952", "output": "nine thousand, nine hundred and fifty-two" }, "9854": { "input": "9953", "output": "nine thousand, nine hundred and fifty-three" }, "9855": { "input": "9954", "output": "nine thousand, nine hundred and fifty-four" }, "9856": { "input": "9955", "output": "nine thousand, nine hundred and fifty-five" }, "9857": { "input": "9956", "output": "nine thousand, nine hundred and fifty-six" }, "9858": { "input": "9957", "output": "nine thousand, nine hundred and fifty-seven" }, "9859": { "input": "9958", "output": "nine thousand, nine hundred and fifty-eight" }, "9860": { "input": "9959", "output": "nine thousand, nine hundred and fifty-nine" }, "9861": { "input": "9960", "output": "nine thousand, nine hundred and sixty" }, "9862": { "input": "9961", "output": "nine thousand, nine hundred and sixty-one" }, "9863": { "input": "9962", "output": "nine thousand, nine hundred and sixty-two" }, "9864": { "input": "9963", "output": "nine thousand, nine hundred and sixty-three" }, "9865": { "input": "9964", "output": "nine thousand, nine hundred and sixty-four" }, "9866": { "input": "9965", "output": "nine thousand, nine hundred and sixty-five" }, "9867": { "input": "9966", "output": "nine thousand, nine hundred and sixty-six" }, "9868": { "input": "9967", "output": "nine thousand, nine hundred and sixty-seven" }, "9869": { "input": "9968", "output": "nine thousand, nine hundred and sixty-eight" }, "9870": { "input": "9969", "output": "nine thousand, nine hundred and sixty-nine" }, "9871": { "input": "9970", "output": "nine thousand, nine hundred and seventy" }, "9872": { "input": "9971", "output": "nine thousand, nine hundred and seventy-one" }, "9873": { "input": "9972", "output": "nine thousand, nine hundred and seventy-two" }, "9874": { "input": "9973", "output": "nine thousand, nine hundred and seventy-three" }, "9875": { "input": "9974", "output": "nine thousand, nine hundred and seventy-four" }, "9876": { "input": "9975", "output": "nine thousand, nine hundred and seventy-five" }, "9877": { "input": "9976", "output": "nine thousand, nine hundred and seventy-six" }, "9878": { "input": "9977", "output": "nine thousand, nine hundred and seventy-seven" }, "9879": { "input": "9978", "output": "nine thousand, nine hundred and seventy-eight" }, "9880": { "input": "9979", "output": "nine thousand, nine hundred and seventy-nine" }, "9881": { "input": "9980", "output": "nine thousand, nine hundred and eighty" }, "9882": { "input": "9981", "output": "nine thousand, nine hundred and eighty-one" }, "9883": { "input": "9982", "output": "nine thousand, nine hundred and eighty-two" }, "9884": { "input": "9983", "output": "nine thousand, nine hundred and eighty-three" }, "9885": { "input": "9984", "output": "nine thousand, nine hundred and eighty-four" }, "9886": { "input": "9985", "output": "nine thousand, nine hundred and eighty-five" }, "9887": { "input": "9986", "output": "nine thousand, nine hundred and eighty-six" }, "9888": { "input": "9987", "output": "nine thousand, nine hundred and eighty-seven" }, "9889": { "input": "9988", "output": "nine thousand, nine hundred and eighty-eight" }, "9890": { "input": "9989", "output": "nine thousand, nine hundred and eighty-nine" }, "9891": { "input": "9990", "output": "nine thousand, nine hundred and ninety" }, "9892": { "input": "9991", "output": "nine thousand, nine hundred and ninety-one" }, "9893": { "input": "9992", "output": "nine thousand, nine hundred and ninety-two" }, "9894": { "input": "9993", "output": "nine thousand, nine hundred and ninety-three" }, "9895": { "input": "9994", "output": "nine thousand, nine hundred and ninety-four" }, "9896": { "input": "9995", "output": "nine thousand, nine hundred and ninety-five" }, "9897": { "input": "9996", "output": "nine thousand, nine hundred and ninety-six" }, "9898": { "input": "9997", "output": "nine thousand, nine hundred and ninety-seven" }, "9899": { "input": "9998", "output": "nine thousand, nine hundred and ninety-eight" }, "9900": { "input": "9999", "output": "nine thousand, nine hundred and ninety-nine" } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/induce/object_counting.json ================================================ { "metadata": { "num_examples": 700 }, "examples": { "1": { "input": "I have a drum, a lettuce head, a piano, an accordion, a cauliflower, a garlic, and a trombone.", "output": "4" }, "2": { "input": "I have a goat, a snail, a cow, a fish, two chickens, a snake, a rabbit, a mouse, and a donkey.", "output": "10" }, "3": { "input": "I have a raspberry, a blackberry, three nectarines, a banana, two clarinets, a peach, a plum, a strawberry, a violin, a grape, a trumpet, and an orange.", "output": "11" }, "4": { "input": "I have an accordion, a yam, two clarinets, a garlic, a cauliflower, a cabbage, and a flute.", "output": "4" }, "5": { "input": "I have a grape, two plums, a blackberry, a nectarine, a raspberry, a strawberry, and an apple.", "output": "8" }, "6": { "input": "I have a pig, a goat, a bear, two chickens, and a donkey.", "output": "6" }, "7": { "input": "I have a clarinet, an accordion, a drum, and a violin.", "output": "4" }, "8": { "input": "I have a cow, and a donkey.", "output": "2" }, "9": { "input": "I have a fridge, a table, two couches, a microwave, two chairs, and a bed.", "output": "8" }, "10": { "input": "I have a snake, a mouse, a snail, a donkey, and a rabbit.", "output": "5" }, "11": { "input": "I have a cow, a flute, a trombone, and a bear.", "output": "2" }, "12": { "input": "I have a flute, an accordion, and a trumpet.", "output": "3" }, "13": { "input": "I have a fish, a rabbit, a duck, a chicken, a frog, a pig, a cat, a dog, and a cow.", "output": "9" }, "14": { "input": "I have a duck, a mouse, three pigs, two fish, and a donkey.", "output": "8" }, "15": { "input": "I have a blackberry, a banana, a grape, a raspberry, and an orange.", "output": "5" }, "16": { "input": "I have two raspberries, a blackberry, an orange, a grape, a mouse, a fish, a nectarine, and a rabbit.", "output": "6" }, "17": { "input": "I have three peaches, and an orange.", "output": "4" }, "18": { "input": "I have a blackberry, three peaches, a plum, four apples, an orange, a nectarine, a raspberry, a grape, and a banana.", "output": "14" }, "19": { "input": "I have a piano, three drums, a clarinet, a trumpet, an accordion, a violin, a trombone, and four flutes.", "output": "13" }, "20": { "input": "I have a lettuce head, four stalks of celery, a head of broccoli, a garlic, a yam, and two cauliflowers.", "output": "10" }, "21": { "input": "I have two cats, a bear, and a table.", "output": "3" }, "22": { "input": "I have a drum, a plum, a blackberry, a trumpet, and an orange.", "output": "2" }, "23": { "input": "I have a rabbit, a snake, and a cat.", "output": "3" }, "24": { "input": "I have a carrot, three onions, a lettuce head, a head of broccoli, and two yams.", "output": "8" }, "25": { "input": "I have a bed, a table, a microwave, two cars, and a stove.", "output": "6" }, "26": { "input": "I have a trombone, a flute, an accordion, three violins, four clarinets, a drum, a trumpet, and a piano.", "output": "13" }, "27": { "input": "I have a stalk of celery, a carrot, a bear, two heads of broccoli, three goats, a garlic, a lettuce head, two onions, a cabbage, a yam, two cauliflowers, a potato, and a fish.", "output": "13" }, "28": { "input": "I have a garlic, a chair, a stalk of celery, a yam, a lettuce head, an onion, a fridge, a carrot, a car, a cabbage, and a potato.", "output": "8" }, "29": { "input": "I have a plum, three oranges, three ducks, an apple, two raspberries, a grape, a nectarine, and a strawberry.", "output": "10" }, "30": { "input": "I have an orange, a banana, a peach, a blackberry, a strawberry, two apples, a raspberry, a grape, and a nectarine.", "output": "10" }, "31": { "input": "I have a clarinet, a drum, a piano, an accordion, two flutes, and a violin.", "output": "7" }, "32": { "input": "I have a cat, a donkey, four snakes, a bear, a clarinet, a flute, a trombone, a pig, a snail, and a chicken.", "output": "10" }, "33": { "input": "I have a dog, a snake, a bear, a fish, and a duck.", "output": "5" }, "34": { "input": "I have a banana, a strawberry, a plum, an apple, a peach, a nectarine, four oranges, and a blackberry.", "output": "11" }, "35": { "input": "I have two accordions, three clarinets, a piano, a drum, a flute, a trombone, a violin, and a trumpet.", "output": "11" }, "36": { "input": "I have two lamps, a car, a couch, a bed, an oven, a toaster, a microwave, and three stoves.", "output": "11" }, "37": { "input": "I have a lamp, a microwave, a table, a fridge, a stove, four beds, a toaster, an oven, two couches, and a chair.", "output": "14" }, "38": { "input": "I have a violin, an oven, a drum, a chair, a bed, a trumpet, a clarinet, a piano, five accordions, a trombone, and a flute.", "output": "12" }, "39": { "input": "I have a head of broccoli, a trumpet, a stalk of celery, and an accordion.", "output": "2" }, "40": { "input": "I have three lettuce heads, a cabbage, a potato, a cauliflower, a carrot, a head of broccoli, a stalk of celery, and an onion.", "output": "10" }, "41": { "input": "I have a bear, a snake, a pig, three rabbits, a frog, and two cats.", "output": "9" }, "42": { "input": "I have a lettuce head, an onion, a stalk of celery, a yam, a head of broccoli, a potato, a cauliflower, a garlic, a cabbage, and a carrot.", "output": "10" }, "43": { "input": "I have a blackberry, four grapes, an orange, a nectarine, a strawberry, an apple, two bananas, a peach, a raspberry, and a plum.", "output": "14" }, "44": { "input": "I have a chair, and a car.", "output": "2" }, "45": { "input": "I have a banana, a blackberry, and a raspberry.", "output": "3" }, "46": { "input": "I have a grape, a raspberry, a nectarine, and an orange.", "output": "4" }, "47": { "input": "I have a grape, a blackberry, a plum, an apple, a nectarine, and a banana.", "output": "6" }, "48": { "input": "I have a peach, an onion, two garlics, a nectarine, a yam, a carrot, a potato, a head of broccoli, a cabbage, a banana, and a stalk of celery.", "output": "9" }, "49": { "input": "I have a piano, a violin, a drum, four accordions, and a trumpet.", "output": "8" }, "50": { "input": "I have a piano, four drums, a clarinet, an accordion, a trumpet, three trombones, a violin, and a flute.", "output": "13" }, "51": { "input": "I have three chickens, three mice, a goat, a donkey, a bear, a cow, a duck, and a cat.", "output": "12" }, "52": { "input": "I have a peach, two apples, three strawberries, three grapes, an accordion, a nectarine, a blackberry, a trombone, a plum, a piano, an orange, and two bananas.", "output": "15" }, "53": { "input": "I have a car, a table, a toaster, a fridge, three couches, an oven, a bed, four microwaves, a stove, and a chair.", "output": "15" }, "54": { "input": "I have three frogs, three cows, a cat, a goat, a mouse, two fish, three donkeys, a pig, and a chicken.", "output": "16" }, "55": { "input": "I have a nectarine, a blackberry, a grape, an apple, and a strawberry.", "output": "5" }, "56": { "input": "I have three toasters, a fridge, two couches, a microwave, an oven, a car, and a chair.", "output": "10" }, "57": { "input": "I have a violin, two clarinets, four drums, two pianos, a trumpet, a flute, four accordions, and a trombone.", "output": "16" }, "58": { "input": "I have a bear, a rabbit, a cat, three cows, a mouse, a goat, a fish, and a pig.", "output": "10" }, "59": { "input": "I have a pig, and a frog.", "output": "2" }, "60": { "input": "I have a peach, a banana, an apple, a blackberry, and three raspberries.", "output": "7" }, "61": { "input": "I have a car, a toaster, a stove, a lamp, a microwave, a bed, a chair, a couch, and a fridge.", "output": "9" }, "62": { "input": "I have a grape, and a peach.", "output": "2" }, "63": { "input": "I have a head of broccoli, a carrot, a potato, two cabbages, a cauliflower, a yam, two stalks of celery, an onion, four lettuce heads, and a garlic.", "output": "15" }, "64": { "input": "I have an onion, a yam, a garlic, a lettuce head, a cabbage, three carrots, a cauliflower, a stalk of celery, and two heads of broccoli.", "output": "12" }, "65": { "input": "I have two microwaves, a couch, a lamp, an oven, a bed, and a chair.", "output": "7" }, "66": { "input": "I have a trumpet, and a flute.", "output": "2" }, "67": { "input": "I have a violin, a piano, an accordion, a clarinet, an apple, a trumpet, and a banana.", "output": "5" }, "68": { "input": "I have a stove, four chairs, and an oven.", "output": "6" }, "69": { "input": "I have a donkey, a dog, a mouse, a frog, a pig, a fish, two chickens, a cat, a rabbit, and a goat.", "output": "11" }, "70": { "input": "I have a mouse, a stove, a snail, and a rabbit.", "output": "3" }, "71": { "input": "I have a lettuce head, three carrots, a yam, a cabbage, and a garlic.", "output": "7" }, "72": { "input": "I have a grape, a nectarine, and an orange.", "output": "3" }, "73": { "input": "I have two clarinets, a raspberry, two blackberries, an apple, a plum, two oranges, a peach, a violin, a grape, two strawberries, a banana, and a nectarine.", "output": "13" }, "74": { "input": "I have a trombone, and a flute.", "output": "2" }, "75": { "input": "I have a cauliflower, a yam, a stalk of celery, a carrot, three cabbages, three garlics, a head of broccoli, a potato, a lettuce head, and an onion.", "output": "14" }, "76": { "input": "I have a table, a lamp, three stoves, three toasters, three couches, a fridge, a bed, and a car.", "output": "14" }, "77": { "input": "I have a chicken, a pig, a snake, a goat, a bear, a fish, four donkeys, and three dogs.", "output": "13" }, "78": { "input": "I have a banana, an apple, an orange, and a plum.", "output": "4" }, "79": { "input": "I have two rabbits, a strawberry, four peaches, and two ducks.", "output": "5" }, "80": { "input": "I have a head of broccoli, two garlics, and two carrots.", "output": "5" }, "81": { "input": "I have a raspberry, a strawberry, three bananas, a plum, a blackberry, two oranges, a clarinet, an apple, and a peach.", "output": "11" }, "82": { "input": "I have three donkeys, a fish, a snail, a cat, and a mouse.", "output": "7" }, "83": { "input": "I have a lamp, two couches, an oven, five chairs, a stove, a bed, a fridge, a table, a microwave, and a toaster.", "output": "15" }, "84": { "input": "I have a trombone, a trumpet, three violins, two flutes, a piano, and a drum.", "output": "9" }, "85": { "input": "I have a carrot, four potatoes, a stalk of celery, a yam, and a lettuce head.", "output": "8" }, "86": { "input": "I have a chair, a table, and a fridge.", "output": "3" }, "87": { "input": "I have two pianos, two trumpets, an accordion, three drums, a violin, a clarinet, and a flute.", "output": "11" }, "88": { "input": "I have a duck, a goat, a rabbit, and a bear.", "output": "4" }, "89": { "input": "I have an accordion, two drums, and a trumpet.", "output": "4" }, "90": { "input": "I have a plum, two blackberries, a strawberry, and a nectarine.", "output": "5" }, "91": { "input": "I have a strawberry, a plum, a raspberry, an orange, a nectarine, a peach, a grape, an apple, three bananas, and a blackberry.", "output": "12" }, "92": { "input": "I have a donkey, and a snail.", "output": "2" }, "93": { "input": "I have a garlic, a stalk of celery, a cauliflower, three carrots, and two onions.", "output": "8" }, "94": { "input": "I have an orange, three bananas, and a raspberry.", "output": "5" }, "95": { "input": "I have a car, a toaster, four tables, a microwave, two lamps, a chair, a fridge, a couch, and two stoves.", "output": "14" }, "96": { "input": "I have an onion, five yams, a head of broccoli, three lettuce heads, and a cabbage.", "output": "11" }, "97": { "input": "I have a snail, a goat, a toaster, two bears, a car, a pig, a donkey, a frog, and a bed.", "output": "7" }, "98": { "input": "I have a frog, a donkey, a snail, a cat, and four dogs.", "output": "8" }, "99": { "input": "I have two frogs, a goat, a rabbit, a mouse, a snake, two donkeys, a bear, a cow, and a fish.", "output": "11" }, "100": { "input": "I have a nectarine, two oranges, a plum, a raspberry, a peach, an apple, a grape, a blackberry, four pianos, an accordion, a banana, and three strawberries.", "output": "13" }, "101": { "input": "I have a stove, a chair, a microwave, a lamp, a car, a toaster, and a couch.", "output": "7" }, "102": { "input": "I have a flute, and three drums.", "output": "4" }, "103": { "input": "I have a cabbage, an onion, a lettuce head, a potato, a yam, a carrot, and a cauliflower.", "output": "7" }, "104": { "input": "I have a cauliflower, a stove, a garlic, three onions, two tables, a stalk of celery, four potatoes, a lettuce head, three carrots, a cabbage, a yam, and three cars.", "output": "16" }, "105": { "input": "I have a duck, and a rabbit.", "output": "2" }, "106": { "input": "I have a goat, and a cat.", "output": "2" }, "107": { "input": "I have a trombone, a clarinet, a violin, a drum, a piano, and a flute.", "output": "6" }, "108": { "input": "I have a rabbit, three cats, a blackberry, an orange, three fish, and a peach.", "output": "3" }, "109": { "input": "I have a carrot, a potato, a stalk of celery, and a head of broccoli.", "output": "4" }, "110": { "input": "I have a donkey, a mouse, four fish, a goat, a snail, a dog, a bear, a pig, a snake, and a rabbit.", "output": "13" }, "111": { "input": "I have a cauliflower, a cabbage, four onions, and a head of broccoli.", "output": "7" }, "112": { "input": "I have a peach, a cauliflower, a cabbage, and a plum.", "output": "2" }, "113": { "input": "I have a cauliflower, a lettuce head, an onion, three carrots, a stalk of celery, a yam, a garlic, a potato, and a head of broccoli.", "output": "11" }, "114": { "input": "I have a clarinet, three carrots, and a cauliflower.", "output": "4" }, "115": { "input": "I have an orange, a plum, a grape, a peach, a raspberry, a banana, and a strawberry.", "output": "7" }, "116": { "input": "I have a drum, a clarinet, two accordions, a trumpet, a bed, two pianos, a violin, two trombones, and a flute.", "output": "11" }, "117": { "input": "I have three heads of broccoli, and a cabbage.", "output": "4" }, "118": { "input": "I have two peaches, a raspberry, three blackberries, an orange, a snail, a mouse, a strawberry, and a bear.", "output": "8" }, "119": { "input": "I have an oven, three fridges, a chair, two lamps, a toaster, and four microwaves.", "output": "12" }, "120": { "input": "I have a toaster, a chair, two microwaves, a car, an oven, a stove, a lamp, and a fridge.", "output": "9" }, "121": { "input": "I have three frogs, a bear, two rabbits, a goat, and a cow.", "output": "8" }, "122": { "input": "I have a blackberry, an orange, a peach, an apple, and a strawberry.", "output": "5" }, "123": { "input": "I have a garlic, two onions, three violins, a yam, a potato, and three drums.", "output": "5" }, "124": { "input": "I have a stove, a couch, a bed, and a fridge.", "output": "4" }, "125": { "input": "I have five couches, five dogs, a cow, a fish, a toaster, an oven, and a rabbit.", "output": "8" }, "126": { "input": "I have three blackberries, a rabbit, an apple, an orange, a nectarine, a dog, a raspberry, a plum, and a strawberry.", "output": "9" }, "127": { "input": "I have a table, a bed, a couch, two cars, a lamp, and three fridges.", "output": "9" }, "128": { "input": "I have a car, a lamp, a stove, three chairs, a couch, a toaster, and two tables.", "output": "10" }, "129": { "input": "I have a bear, four stalks of celery, four yams, a snake, a lettuce head, and a snail.", "output": "9" }, "130": { "input": "I have a cauliflower, two carrots, an onion, and a head of broccoli.", "output": "5" }, "131": { "input": "I have a strawberry, a grape, an apple, an orange, a plum, two nectarines, two bananas, and a peach.", "output": "10" }, "132": { "input": "I have a carrot, a cauliflower, a garlic, a yam, four cabbages, and a potato.", "output": "9" }, "133": { "input": "I have a couch, three microwaves, a bed, a toaster, an oven, a fridge, and four lamps.", "output": "12" }, "134": { "input": "I have a flute, a piano, three accordions, a violin, a clarinet, three trumpets, a trombone, and a drum.", "output": "12" }, "135": { "input": "I have a toaster, a bed, and a stove.", "output": "3" }, "136": { "input": "I have a carrot, a yam, and a lettuce head.", "output": "3" }, "137": { "input": "I have a garlic, an onion, a yam, a potato, and a lettuce head.", "output": "5" }, "138": { "input": "I have a carrot, a potato, a yam, a dog, a cauliflower, a stalk of celery, and a chicken.", "output": "5" }, "139": { "input": "I have a carrot, four beds, a potato, a garlic, and a yam.", "output": "4" }, "140": { "input": "I have a cabbage, a garlic, and a head of broccoli.", "output": "3" }, "141": { "input": "I have a pig, a rabbit, a dog, a mouse, and a chicken.", "output": "5" }, "142": { "input": "I have three mice, a bear, a frog, a fish, a donkey, a duck, a pig, a rabbit, a goat, and a snake.", "output": "12" }, "143": { "input": "I have two chairs, and a bed.", "output": "3" }, "144": { "input": "I have a bed, two toasters, three cars, and a chair.", "output": "7" }, "145": { "input": "I have a piano, two clarinets, three drums, and two violins.", "output": "8" }, "146": { "input": "I have four garlics, an onion, a potato, and a carrot.", "output": "7" }, "147": { "input": "I have a banana, and a grape.", "output": "2" }, "148": { "input": "I have a pig, a chicken, a duck, a fish, two snakes, a bear, a rabbit, a frog, a cat, and a cow.", "output": "11" }, "149": { "input": "I have three violins, three flutes, a drum, three pianos, a clarinet, a trombone, and an accordion.", "output": "13" }, "150": { "input": "I have an onion, a garlic, a potato, a yam, a cauliflower, and two cabbages.", "output": "7" }, "151": { "input": "I have a stove, a toaster, an orange, a plum, a strawberry, an apple, a raspberry, four nectarines, a banana, a peach, a microwave, and a grape.", "output": "12" }, "152": { "input": "I have a pig, a goat, and a cow.", "output": "3" }, "153": { "input": "I have a cat, a donkey, a rabbit, a dog, and two snakes.", "output": "6" }, "154": { "input": "I have a lettuce head, three garlics, a flute, three carrots, a potato, a cauliflower, a yam, a head of broccoli, and an onion.", "output": "12" }, "155": { "input": "I have two carrots, a stalk of celery, two garlics, and three heads of broccoli.", "output": "8" }, "156": { "input": "I have a lamp, a table, a microwave, a car, three toasters, a fridge, two couches, three ovens, and a bed.", "output": "14" }, "157": { "input": "I have an orange, a trumpet, and a clarinet.", "output": "2" }, "158": { "input": "I have four bananas, a raspberry, two peaches, and an apple.", "output": "8" }, "159": { "input": "I have four cauliflowers, a lettuce head, a garlic, a yam, a cabbage, a stalk of celery, a head of broccoli, a potato, an onion, and a carrot.", "output": "13" }, "160": { "input": "I have a flute, two trombones, a clarinet, a drum, two pianos, and an orange.", "output": "7" }, "161": { "input": "I have an apple, a goat, a donkey, and an orange.", "output": "2" }, "162": { "input": "I have four ovens, a bed, a stove, a microwave, and a car.", "output": "8" }, "163": { "input": "I have three potatoes, a yam, an onion, and a carrot.", "output": "6" }, "164": { "input": "I have a potato, a yam, an onion, four garlics, a cabbage, a head of broccoli, three stalks of celery, a lettuce head, and a carrot.", "output": "14" }, "165": { "input": "I have three flutes, a drum, a piano, two clarinets, an accordion, two trombones, and a trumpet.", "output": "11" }, "166": { "input": "I have two garlics, a carrot, and a cauliflower.", "output": "4" }, "167": { "input": "I have a chair, and a microwave.", "output": "2" }, "168": { "input": "I have a violin, two nectarines, a flute, a banana, an accordion, two strawberries, a clarinet, a drum, a trumpet, a piano, and a trombone.", "output": "8" }, "169": { "input": "I have a fish, a goat, a cat, a chicken, two donkeys, three ducks, a dog, a bear, a cow, and a mouse.", "output": "13" }, "170": { "input": "I have a table, a bed, two toasters, a lamp, two stoves, and five chairs.", "output": "12" }, "171": { "input": "I have two peaches, a grape, and a banana.", "output": "4" }, "172": { "input": "I have a strawberry, a grape, a trombone, a nectarine, two bananas, three oranges, an apple, a plum, a clarinet, three blackberries, and an accordion.", "output": "13" }, "173": { "input": "I have two accordions, a car, a trumpet, a piano, a drum, a flute, a trombone, three clarinets, and two violins.", "output": "12" }, "174": { "input": "I have two lettuce heads, a cauliflower, a carrot, a cabbage, and a yam.", "output": "6" }, "175": { "input": "I have an onion, a yam, a head of broccoli, a potato, and a stalk of celery.", "output": "5" }, "176": { "input": "I have a couch, four microwaves, two chairs, an oven, and two tables.", "output": "10" }, "177": { "input": "I have two lettuce heads, a garlic, and an onion.", "output": "4" }, "178": { "input": "I have a stalk of celery, two lettuce heads, a yam, a carrot, a cauliflower, three cabbages, a garlic, an onion, a head of broccoli, and a potato.", "output": "13" }, "179": { "input": "I have a frog, two chairs, a donkey, a cat, two couches, a microwave, and a pig.", "output": "4" }, "180": { "input": "I have two grapes, a toaster, two stoves, a peach, and a bed.", "output": "3" }, "181": { "input": "I have a fish, a bear, two frogs, five lamps, five cars, four donkeys, a duck, a snail, a dog, and a pig.", "output": "12" }, "182": { "input": "I have a snake, a frog, a cat, a pig, and a bear.", "output": "5" }, "183": { "input": "I have a stalk of celery, three carrots, an onion, three yams, and a head of broccoli.", "output": "9" }, "184": { "input": "I have a banana, and a strawberry.", "output": "2" }, "185": { "input": "I have a stalk of celery, and a cauliflower.", "output": "2" }, "186": { "input": "I have a grape, a trombone, a drum, a blackberry, an apple, two nectarines, a plum, and two clarinets.", "output": "6" }, "187": { "input": "I have three bananas, a trumpet, a clarinet, a piano, a nectarine, a trombone, a blackberry, and a violin.", "output": "5" }, "188": { "input": "I have a blackberry, a raspberry, and a grape.", "output": "3" }, "189": { "input": "I have a violin, an accordion, a clarinet, a piano, three trombones, a trumpet, a flute, and a drum.", "output": "10" }, "190": { "input": "I have an oven, a couch, three toasters, a fridge, a table, a bed, a stove, a chair, four microwaves, and four lamps.", "output": "18" }, "191": { "input": "I have two microwaves, an oven, and a table.", "output": "4" }, "192": { "input": "I have a bear, a mouse, a dog, a frog, a duck, five chickens, a rabbit, and a pig.", "output": "12" }, "193": { "input": "I have a cat, a snake, a rabbit, a pig, a dog, a donkey, a bear, a chicken, and a cow.", "output": "9" }, "194": { "input": "I have a goat, two plums, a duck, a peach, three frogs, three raspberries, a mouse, a chicken, a cow, and a rabbit.", "output": "9" }, "195": { "input": "I have a goat, a cat, a donkey, four frogs, a chicken, an accordion, three violins, a mouse, a duck, a drum, a dog, a fish, and a pig.", "output": "13" }, "196": { "input": "I have a car, a couch, an oven, a microwave, a lamp, a stove, a table, and a bed.", "output": "8" }, "197": { "input": "I have a garlic, a potato, a banana, a carrot, a raspberry, a strawberry, and two heads of broccoli.", "output": "5" }, "198": { "input": "I have a drum, a trombone, a clarinet, a violin, a trumpet, and a piano.", "output": "6" }, "199": { "input": "I have a violin, three trombones, two snails, an accordion, a piano, a trumpet, and a clarinet.", "output": "8" }, "200": { "input": "I have a violin, and a flute.", "output": "2" }, "201": { "input": "I have four ducks, a pig, a bear, and a chicken.", "output": "7" }, "202": { "input": "I have a frog, a dog, a snake, a mouse, a duck, a pig, a cow, a fish, a donkey, and a snail.", "output": "10" }, "203": { "input": "I have two grapes, and a blackberry.", "output": "3" }, "204": { "input": "I have a couch, a chair, three tables, an oven, a lamp, a car, a toaster, and three microwaves.", "output": "12" }, "205": { "input": "I have a bed, a car, a toaster, a microwave, an oven, a stove, four tables, a chair, and a couch.", "output": "12" }, "206": { "input": "I have a bear, and a fish.", "output": "2" }, "207": { "input": "I have a toaster, a snail, a cat, and a mouse.", "output": "3" }, "208": { "input": "I have a flute, four trombones, a drum, four violins, and three pianos.", "output": "13" }, "209": { "input": "I have an accordion, a trumpet, two trombones, a flute, a violin, a plum, a clarinet, four pianos, and a drum.", "output": "12" }, "210": { "input": "I have a chair, two beds, two stoves, a toaster, a microwave, a couch, and two tables.", "output": "10" }, "211": { "input": "I have a stalk of celery, two garlics, and a yam.", "output": "4" }, "212": { "input": "I have a snake, a bear, two onions, a goat, a fish, and five mice.", "output": "9" }, "213": { "input": "I have a bear, a snail, and two cows.", "output": "4" }, "214": { "input": "I have a yam, three potatoes, two heads of broccoli, and a stalk of celery.", "output": "7" }, "215": { "input": "I have a piano, a violin, a clarinet, a trombone, and an accordion.", "output": "5" }, "216": { "input": "I have an apple, a grape, a blackberry, a peach, a raspberry, a nectarine, a strawberry, a banana, and an orange.", "output": "9" }, "217": { "input": "I have a chicken, three snakes, a pig, and a frog.", "output": "6" }, "218": { "input": "I have a frog, a plum, two nectarines, a banana, an orange, a raspberry, and a grape.", "output": "7" }, "219": { "input": "I have a drum, a violin, an accordion, a piano, and a clarinet.", "output": "5" }, "220": { "input": "I have a microwave, a chair, and a couch.", "output": "3" }, "221": { "input": "I have a garlic, a carrot, a lettuce head, a stalk of celery, a cabbage, and a head of broccoli.", "output": "6" }, "222": { "input": "I have a microwave, a fridge, a chair, an oven, a toaster, a table, and two couches.", "output": "8" }, "223": { "input": "I have a grape, a raspberry, a strawberry, two rabbits, a blackberry, three nectarines, two bears, and an apple.", "output": "8" }, "224": { "input": "I have three ovens, a dog, five bears, a snake, a chicken, a fish, a microwave, a mouse, and a car.", "output": "10" }, "225": { "input": "I have two clarinets, a trumpet, two violins, a trombone, two drums, a piano, a flute, and four accordions.", "output": "14" }, "226": { "input": "I have a chair, a car, two fridges, a lamp, a table, four couches, a bed, and an oven.", "output": "12" }, "227": { "input": "I have an accordion, four trombones, a trumpet, a drum, a flute, a clarinet, three pianos, and three violins.", "output": "15" }, "228": { "input": "I have a couch, four cars, two ovens, a chair, a microwave, a lamp, and a stove.", "output": "11" }, "229": { "input": "I have two cars, a fridge, a microwave, and an oven.", "output": "5" }, "230": { "input": "I have a car, and five beds.", "output": "6" }, "231": { "input": "I have a snake, a rabbit, a frog, a chicken, a donkey, a cat, a goat, a snail, and a duck.", "output": "9" }, "232": { "input": "I have a garlic, four lettuce heads, a potato, a carrot, a clarinet, and a cauliflower.", "output": "8" }, "233": { "input": "I have a potato, a head of broccoli, three onions, a cabbage, two cauliflowers, and a garlic.", "output": "9" }, "234": { "input": "I have a grape, and two bananas.", "output": "3" }, "235": { "input": "I have a lamp, and three tables.", "output": "4" }, "236": { "input": "I have a snake, four rabbits, a fish, a cow, a cat, a goat, a bear, two mice, four pigs, and three donkeys.", "output": "19" }, "237": { "input": "I have three pianos, a chicken, an accordion, a trumpet, a trombone, a clarinet, and two flutes.", "output": "9" }, "238": { "input": "I have three cows, a fish, a rabbit, a cat, and a chicken.", "output": "7" }, "239": { "input": "I have a stove, a table, a toaster, a fridge, a microwave, three ovens, a car, a couch, four chairs, and a lamp.", "output": "15" }, "240": { "input": "I have a blackberry, and two peaches.", "output": "3" }, "241": { "input": "I have a mouse, a frog, a cow, a chicken, two onions, a snake, and a dog.", "output": "6" }, "242": { "input": "I have an apple, a blackberry, and a nectarine.", "output": "3" }, "243": { "input": "I have a blackberry, an apple, a plum, and a peach.", "output": "4" }, "244": { "input": "I have a chicken, a snail, a rabbit, a mouse, two pigs, a snake, two cows, a bear, a cat, and a frog.", "output": "12" }, "245": { "input": "I have a drum, two flutes, an accordion, a trumpet, a piano, a clarinet, a trombone, and a violin.", "output": "9" }, "246": { "input": "I have an accordion, two clarinets, a piano, a drum, and a trumpet.", "output": "6" }, "247": { "input": "I have a goat, two cats, a trumpet, a rabbit, a pig, two snails, a bear, a fish, a dog, and a chicken.", "output": "11" }, "248": { "input": "I have a cabbage, and a carrot.", "output": "2" }, "249": { "input": "I have an accordion, a violin, two flutes, a trombone, two trumpets, a piano, and a clarinet.", "output": "9" }, "250": { "input": "I have a donkey, a cow, a plum, a blackberry, a cat, and two raspberries.", "output": "3" }, "251": { "input": "I have a donkey, a goat, a mouse, a cat, and a dog.", "output": "5" }, "252": { "input": "I have an oven, a lamp, a car, four couches, a toaster, four fridges, a microwave, and four chairs.", "output": "17" }, "253": { "input": "I have a banana, a flute, two clarinets, and a drum.", "output": "4" }, "254": { "input": "I have two cars, a lamp, a stove, an oven, a microwave, a chair, a bed, and a toaster.", "output": "9" }, "255": { "input": "I have a bed, three tables, a couch, a toaster, four ovens, a microwave, two fridges, a lamp, and a stove.", "output": "15" }, "256": { "input": "I have an oven, a fridge, and a lamp.", "output": "3" }, "257": { "input": "I have an oven, a couch, a bed, five stoves, a lamp, and two toasters.", "output": "11" }, "258": { "input": "I have a blackberry, an orange, a strawberry, a peach, and a cow.", "output": "4" }, "259": { "input": "I have a drum, a trombone, a violin, a piano, and a flute.", "output": "5" }, "260": { "input": "I have a fridge, a table, a car, a lamp, two microwaves, a bed, a stove, a toaster, a couch, and two chairs.", "output": "12" }, "261": { "input": "I have a couch, and a stove.", "output": "2" }, "262": { "input": "I have a fridge, three tables, two ovens, three cars, a chair, a couch, a bed, and a toaster.", "output": "13" }, "263": { "input": "I have a raspberry, three flutes, and an orange.", "output": "2" }, "264": { "input": "I have four lettuce heads, two carrots, a garlic, three potatoes, a yam, a head of broccoli, and a stalk of celery.", "output": "13" }, "265": { "input": "I have two toasters, a lamp, two snakes, a microwave, a chicken, a frog, a rabbit, a pig, and a snail.", "output": "7" }, "266": { "input": "I have a peach, an accordion, a nectarine, two trumpets, an apple, a grape, a strawberry, and three raspberries.", "output": "8" }, "267": { "input": "I have a grape, a plum, an orange, a nectarine, a blackberry, an apple, and a strawberry.", "output": "7" }, "268": { "input": "I have a bear, a duck, four snails, two rabbits, three pigs, three cows, and a fish.", "output": "15" }, "269": { "input": "I have a grape, an apple, a plum, a raspberry, a blackberry, two strawberries, a nectarine, and a banana.", "output": "9" }, "270": { "input": "I have a stalk of celery, a cabbage, a carrot, two onions, a potato, four cauliflowers, a yam, a garlic, and a head of broccoli.", "output": "13" }, "271": { "input": "I have a table, a microwave, three lamps, two couches, three stoves, a car, and two beds.", "output": "13" }, "272": { "input": "I have a goat, three rabbits, a fish, a mouse, and a cow.", "output": "7" }, "273": { "input": "I have a chicken, a goat, a donkey, and a duck.", "output": "4" }, "274": { "input": "I have a trombone, a drum, an accordion, a piano, a flute, a clarinet, three trumpets, and a violin.", "output": "10" }, "275": { "input": "I have an onion, four cauliflowers, and a potato.", "output": "6" }, "276": { "input": "I have a lamp, a couch, an oven, a table, three stoves, two chairs, and a fridge.", "output": "10" }, "277": { "input": "I have two nectarines, a banana, a grape, a plum, four apples, a peach, a strawberry, and an orange.", "output": "12" }, "278": { "input": "I have a head of broccoli, a cauliflower, a stalk of celery, a cabbage, a potato, an onion, a yam, a garlic, a lettuce head, and a carrot.", "output": "10" }, "279": { "input": "I have a trombone, a trumpet, a clarinet, a piano, a chair, a drum, an accordion, an oven, a violin, two flutes, and a microwave.", "output": "9" }, "280": { "input": "I have a toaster, a table, an oven, a microwave, three lamps, and three stoves.", "output": "10" }, "281": { "input": "I have a yam, two carrots, a cauliflower, a cabbage, a garlic, a stalk of celery, four onions, and a head of broccoli.", "output": "12" }, "282": { "input": "I have a table, a bed, a couch, a stove, three chairs, a car, and three fridges.", "output": "11" }, "283": { "input": "I have a garlic, a head of broccoli, a cauliflower, a carrot, a potato, two onions, a cabbage, and a yam.", "output": "9" }, "284": { "input": "I have a blackberry, a plum, five bananas, a strawberry, an apple, and a grape.", "output": "10" }, "285": { "input": "I have a cat, and a rabbit.", "output": "2" }, "286": { "input": "I have a bed, a microwave, a table, four toasters, a chair, and a stove.", "output": "9" }, "287": { "input": "I have a dog, a rabbit, five donkeys, a cat, a chicken, a mouse, three frogs, a trumpet, and a snail.", "output": "14" }, "288": { "input": "I have a raspberry, a banana, a blackberry, an orange, a plum, and a strawberry.", "output": "6" }, "289": { "input": "I have a plum, a peach, two grapes, a blackberry, an orange, a banana, an apple, and a nectarine.", "output": "9" }, "290": { "input": "I have a blackberry, four nectarines, two raspberries, and an orange.", "output": "8" }, "291": { "input": "I have a violin, a piano, a clarinet, a flute, three trombones, and a drum.", "output": "8" }, "292": { "input": "I have a mouse, and a goat.", "output": "2" }, "293": { "input": "I have an orange, four bananas, a raspberry, a strawberry, a nectarine, a grape, a peach, a clarinet, a flute, a trumpet, two apples, and a blackberry.", "output": "13" }, "294": { "input": "I have a stove, a chair, a table, a lamp, a couch, and three fridges.", "output": "8" }, "295": { "input": "I have an onion, two potatoes, a yam, and a garlic.", "output": "5" }, "296": { "input": "I have two pigs, and two chickens.", "output": "4" }, "297": { "input": "I have a snake, a frog, and a duck.", "output": "3" }, "298": { "input": "I have a chair, two potatoes, a cauliflower, a lettuce head, two tables, a cabbage, two onions, and three fridges.", "output": "7" }, "299": { "input": "I have a raspberry, an apple, a banana, and a strawberry.", "output": "4" }, "300": { "input": "I have a fridge, three toasters, a car, two tables, a couch, a lamp, a chair, an oven, a bed, and a microwave.", "output": "13" }, "301": { "input": "I have a donkey, a dog, a snail, a chicken, a snake, a frog, two rabbits, five ducks, and a pig.", "output": "14" }, "302": { "input": "I have a clarinet, a trombone, a flute, a violin, three accordions, a cauliflower, a piano, a trumpet, and two drums.", "output": "11" }, "303": { "input": "I have an accordion, five trombones, a drum, a clarinet, a violin, a flute, a trumpet, and a piano.", "output": "12" }, "304": { "input": "I have a peach, an orange, a garlic, two stalks of celery, and a carrot.", "output": "4" }, "305": { "input": "I have a lamp, a fridge, five beds, a table, a couch, a car, and an oven.", "output": "11" }, "306": { "input": "I have a rabbit, a dog, a snake, and a pig.", "output": "4" }, "307": { "input": "I have a blackberry, a grape, an orange, a strawberry, four apples, and a plum.", "output": "9" }, "308": { "input": "I have two pigs, two bears, three mice, a dog, three goats, a chicken, a cat, and a fish.", "output": "14" }, "309": { "input": "I have three clarinets, and a trombone.", "output": "4" }, "310": { "input": "I have four chairs, a toaster, a stove, a bed, an oven, a table, a fridge, and a car.", "output": "11" }, "311": { "input": "I have a grape, a nectarine, a plum, a blackberry, an orange, and two bananas.", "output": "7" }, "312": { "input": "I have a drum, an accordion, a piano, a trumpet, a violin, two flutes, a clarinet, and a lamp.", "output": "8" }, "313": { "input": "I have an orange, a peach, three nectarines, and an apple.", "output": "6" }, "314": { "input": "I have an apple, a flute, a drum, a strawberry, a blackberry, two pianos, a trombone, and a trumpet.", "output": "6" }, "315": { "input": "I have a stove, a chair, four beds, a lamp, and a fridge.", "output": "8" }, "316": { "input": "I have a cat, a chicken, a goat, and a donkey.", "output": "4" }, "317": { "input": "I have a dog, a pig, two snails, a duck, a cat, a snake, a donkey, and a chicken.", "output": "9" }, "318": { "input": "I have a garlic, a head of broccoli, a carrot, five bears, two yams, and a lettuce head.", "output": "6" }, "319": { "input": "I have a mouse, two frogs, and two snails.", "output": "5" }, "320": { "input": "I have a trumpet, a drum, a flute, a trombone, a violin, a clarinet, and two accordions.", "output": "8" }, "321": { "input": "I have a frog, a dog, two rabbits, a duck, and a fish.", "output": "6" }, "322": { "input": "I have a garlic, a flute, two yams, two onions, and a potato.", "output": "6" }, "323": { "input": "I have a mouse, two ducks, and a cauliflower.", "output": "3" }, "324": { "input": "I have four donkeys, a mouse, and a cow.", "output": "6" }, "325": { "input": "I have a chair, a fridge, and a car.", "output": "3" }, "326": { "input": "I have two snails, a goat, a dog, a pig, a cat, two donkeys, a rabbit, a cow, and a duck.", "output": "11" }, "327": { "input": "I have an orange, two apples, a nectarine, a banana, and two strawberries.", "output": "7" }, "328": { "input": "I have two stoves, and a car.", "output": "3" }, "329": { "input": "I have an orange, two onions, a grape, and a carrot.", "output": "2" }, "330": { "input": "I have a chair, and a bed.", "output": "2" }, "331": { "input": "I have a lamp, and a fridge.", "output": "2" }, "332": { "input": "I have a peach, a grape, a raspberry, and a banana.", "output": "4" }, "333": { "input": "I have five goats, two rabbits, a snail, a bear, a dog, a cat, a frog, a snake, two ducks, and a donkey.", "output": "16" }, "334": { "input": "I have a flute, an accordion, a trombone, and two drums.", "output": "5" }, "335": { "input": "I have two trumpets, and a drum.", "output": "3" }, "336": { "input": "I have three chairs, a couch, a car, a toaster, five microwaves, an oven, two tables, a bed, five fridges, and a lamp.", "output": "21" }, "337": { "input": "I have a clarinet, a drum, a dog, a piano, a goat, a flute, and a violin.", "output": "5" }, "338": { "input": "I have a stove, a microwave, a car, a couch, an oven, a lamp, a chair, and a table.", "output": "8" }, "339": { "input": "I have a fish, a pig, and a goat.", "output": "3" }, "340": { "input": "I have a lettuce head, a cauliflower, a garlic, a stalk of celery, a yam, and a potato.", "output": "6" }, "341": { "input": "I have a raspberry, a nectarine, four plums, an orange, a banana, three blackberries, a strawberry, a peach, and three apples.", "output": "16" }, "342": { "input": "I have a violin, a chair, two trombones, a trumpet, four accordions, a bed, three microwaves, a piano, a clarinet, and a flute.", "output": "11" }, "343": { "input": "I have an orange, a banana, a plum, a grape, and a blackberry.", "output": "5" }, "344": { "input": "I have a lettuce head, a cabbage, a garlic, a potato, and a cauliflower.", "output": "5" }, "345": { "input": "I have an accordion, two ovens, a flute, and a trumpet.", "output": "3" }, "346": { "input": "I have a fish, a bear, a mouse, two pigs, a snake, five donkeys, a cat, a toaster, a frog, a goat, and two dogs.", "output": "16" }, "347": { "input": "I have a banana, an apple, a blackberry, and a raspberry.", "output": "4" }, "348": { "input": "I have two onions, a violin, a trombone, two trumpets, an accordion, a head of broccoli, a flute, a piano, and a drum.", "output": "8" }, "349": { "input": "I have a goat, two dogs, a duck, a pig, a rabbit, three snakes, a fish, and a cat.", "output": "11" }, "350": { "input": "I have a cauliflower, an onion, a head of broccoli, a carrot, and a lettuce head.", "output": "5" }, "351": { "input": "I have a cat, an orange, a duck, and three cows.", "output": "5" }, "352": { "input": "I have three bananas, a raspberry, a strawberry, a grape, and a plum.", "output": "7" }, "353": { "input": "I have three lamps, a car, three fridges, a couch, a stove, a chair, and a toaster.", "output": "11" }, "354": { "input": "I have a trombone, a drum, and a piano.", "output": "3" }, "355": { "input": "I have a stalk of celery, and an onion.", "output": "2" }, "356": { "input": "I have a garlic, a stalk of celery, a cabbage, a lettuce head, and a carrot.", "output": "5" }, "357": { "input": "I have a pig, two cows, a snake, a mouse, three rabbits, and three ducks.", "output": "11" }, "358": { "input": "I have a plum, an orange, a grape, and a strawberry.", "output": "4" }, "359": { "input": "I have four trumpets, and a piano.", "output": "5" }, "360": { "input": "I have a raspberry, a blackberry, a strawberry, three plums, a banana, and an apple.", "output": "8" }, "361": { "input": "I have a potato, a carrot, a lettuce head, and a cabbage.", "output": "4" }, "362": { "input": "I have three pianos, a clarinet, two ducks, a drum, a pig, two flutes, a trombone, an accordion, a snake, a trumpet, and a violin.", "output": "11" }, "363": { "input": "I have a snail, two lettuce heads, and a duck.", "output": "2" }, "364": { "input": "I have a cabbage, four yams, a cauliflower, a carrot, and a lettuce head.", "output": "8" }, "365": { "input": "I have a plum, a peach, a blackberry, a nectarine, and a banana.", "output": "5" }, "366": { "input": "I have two violins, a clarinet, a flute, four pianos, five drums, a trumpet, and an accordion.", "output": "15" }, "367": { "input": "I have a chair, an oven, four tables, three fridges, two couches, a bed, a car, and a microwave.", "output": "14" }, "368": { "input": "I have four cauliflowers, a carrot, two potatoes, and a cabbage.", "output": "8" }, "369": { "input": "I have a cauliflower, an onion, a head of broccoli, a potato, a yam, a lettuce head, a carrot, a garlic, a stalk of celery, and two cabbages.", "output": "11" }, "370": { "input": "I have a bed, a chair, two toasters, two couches, a microwave, a car, a fridge, a stove, and a table.", "output": "11" }, "371": { "input": "I have a piano, two clarinets, a trombone, a trumpet, and a drum.", "output": "6" }, "372": { "input": "I have a chair, a lamp, a couch, a fridge, two cars, a microwave, a table, a bed, an oven, and a toaster.", "output": "11" }, "373": { "input": "I have a microwave, a car, an oven, a table, a stove, and a lamp.", "output": "6" }, "374": { "input": "I have a piano, three clarinets, a drum, and four accordions.", "output": "9" }, "375": { "input": "I have a chicken, a snake, two ducks, a snail, three goats, four mice, a dog, a bear, a pig, and four cows.", "output": "19" }, "376": { "input": "I have three bananas, three plums, three apples, a grape, and a peach.", "output": "11" }, "377": { "input": "I have an accordion, a flute, a drum, and a clarinet.", "output": "4" }, "378": { "input": "I have a lettuce head, a yam, two onions, three cabbages, two garlics, a stalk of celery, a head of broccoli, a cauliflower, a potato, and a carrot.", "output": "14" }, "379": { "input": "I have a piano, three accordions, a drum, a flute, and a trumpet.", "output": "7" }, "380": { "input": "I have a toaster, a table, a chair, a bed, two microwaves, and a lamp.", "output": "7" }, "381": { "input": "I have a rabbit, and a donkey.", "output": "2" }, "382": { "input": "I have a carrot, and a cauliflower.", "output": "2" }, "383": { "input": "I have a trombone, three pianos, and a violin.", "output": "5" }, "384": { "input": "I have a stove, four fridges, a chair, a toaster, and two ovens.", "output": "9" }, "385": { "input": "I have an accordion, a cow, a trumpet, a clarinet, and a trombone.", "output": "4" }, "386": { "input": "I have two beds, a car, a microwave, and three tables.", "output": "7" }, "387": { "input": "I have a strawberry, a blackberry, a plum, a grape, a peach, an apple, and an orange.", "output": "7" }, "388": { "input": "I have a frog, three onions, and a lettuce head.", "output": "4" }, "389": { "input": "I have a drum, a trombone, a piano, a trumpet, and a violin.", "output": "5" }, "390": { "input": "I have four plums, an orange, a blackberry, a peach, a nectarine, three apples, a grape, four bananas, a strawberry, and a raspberry.", "output": "18" }, "391": { "input": "I have a head of broccoli, a table, a chair, a fridge, two carrots, and a potato.", "output": "4" }, "392": { "input": "I have a fridge, a chair, a microwave, and a toaster.", "output": "4" }, "393": { "input": "I have two yams, two cabbages, a potato, a carrot, a stalk of celery, three onions, a lettuce head, three garlics, and three cauliflowers.", "output": "17" }, "394": { "input": "I have a stalk of celery, and three lettuce heads.", "output": "4" }, "395": { "input": "I have a stalk of celery, a carrot, a cabbage, a lettuce head, a garlic, an onion, a cauliflower, and a head of broccoli.", "output": "8" }, "396": { "input": "I have two snails, five rabbits, an oven, two pigs, and two bears.", "output": "11" }, "397": { "input": "I have a head of broccoli, a lettuce head, a carrot, an onion, three stalks of celery, a garlic, and a yam.", "output": "9" }, "398": { "input": "I have a goat, a cat, a rabbit, four pigs, a mouse, a duck, and a bear.", "output": "10" }, "399": { "input": "I have a yam, a cauliflower, and a stalk of celery.", "output": "3" }, "400": { "input": "I have a cabbage, a garlic, a carrot, an onion, a potato, a cauliflower, a head of broccoli, a lettuce head, and a yam.", "output": "9" }, "401": { "input": "I have a drum, a piano, and a clarinet.", "output": "3" }, "402": { "input": "I have a microwave, two tables, a toaster, a fridge, a car, a lamp, two stoves, a bed, and a couch.", "output": "11" }, "403": { "input": "I have a plum, a banana, a strawberry, three oranges, a grape, and a raspberry.", "output": "8" }, "404": { "input": "I have a blackberry, a microwave, a strawberry, two plums, a banana, four nectarines, an orange, a peach, a grape, two raspberries, and two apples.", "output": "16" }, "405": { "input": "I have two flutes, three accordions, a trombone, and a piano.", "output": "7" }, "406": { "input": "I have a head of broccoli, a lettuce head, a stalk of celery, four garlics, a cauliflower, two potatoes, and an onion.", "output": "11" }, "407": { "input": "I have a trombone, a drum, a clarinet, a trumpet, a flute, a plum, and a piano.", "output": "6" }, "408": { "input": "I have a microwave, two toasters, two chairs, a couch, a fridge, an oven, a bed, a stove, two tables, and a lamp.", "output": "13" }, "409": { "input": "I have a piano, a trombone, an accordion, a flute, three drums, and a violin.", "output": "8" }, "410": { "input": "I have an apple, three oranges, a grape, a blackberry, a plum, a raspberry, two strawberries, and a lettuce head.", "output": "10" }, "411": { "input": "I have an orange, a plum, two raspberries, a banana, a grape, a nectarine, and a peach.", "output": "8" }, "412": { "input": "I have a bed, four stoves, a lamp, a chair, a table, two cars, and a fridge.", "output": "11" }, "413": { "input": "I have a duck, a dog, and a pig.", "output": "3" }, "414": { "input": "I have a clarinet, and a piano.", "output": "2" }, "415": { "input": "I have a fridge, a stove, an oven, three toasters, two microwaves, a car, a lamp, and a bed.", "output": "11" }, "416": { "input": "I have a strawberry, two pianos, a flute, a drum, an accordion, and a violin.", "output": "6" }, "417": { "input": "I have four potatoes, a head of broccoli, a lettuce head, a stalk of celery, a stove, a cauliflower, a cabbage, a garlic, a yam, and a carrot.", "output": "12" }, "418": { "input": "I have a trombone, a flute, a clarinet, a trumpet, a piano, an accordion, two drums, and a violin.", "output": "9" }, "419": { "input": "I have four stoves, a couch, a microwave, and four fridges.", "output": "10" }, "420": { "input": "I have a cat, a dog, a bear, three pigs, a chicken, five mice, a couch, a fish, and a frog.", "output": "14" }, "421": { "input": "I have a trombone, a trumpet, a flute, a piano, an accordion, a drum, and a clarinet.", "output": "7" }, "422": { "input": "I have a chair, a fridge, a car, and a stove.", "output": "4" }, "423": { "input": "I have a duck, a mouse, and a frog.", "output": "3" }, "424": { "input": "I have a bear, a snake, a snail, a frog, a fish, a cow, a dog, a duck, and a mouse.", "output": "9" }, "425": { "input": "I have a strawberry, three peaches, two plums, a raspberry, and a nectarine.", "output": "8" }, "426": { "input": "I have three pianos, a drum, and four trombones.", "output": "8" }, "427": { "input": "I have a table, three fridges, a chair, a stove, a toaster, two lamps, an oven, a bed, a microwave, and a couch.", "output": "13" }, "428": { "input": "I have a peach, a raspberry, a blackberry, a banana, an orange, a nectarine, an apple, a strawberry, and a plum.", "output": "9" }, "429": { "input": "I have a violin, an accordion, a trombone, a drum, a piano, four flutes, a trumpet, and a clarinet.", "output": "11" }, "430": { "input": "I have a stove, a couch, a fridge, a table, a car, a toaster, a bed, and a chair.", "output": "8" }, "431": { "input": "I have a flute, two drums, a trombone, a violin, a trumpet, five pianos, and an accordion.", "output": "12" }, "432": { "input": "I have a strawberry, a banana, and a blackberry.", "output": "3" }, "433": { "input": "I have two snakes, a cow, a fish, two ducks, and a cat.", "output": "7" }, "434": { "input": "I have a dog, a cow, a snail, a goat, four cats, and a rabbit.", "output": "9" }, "435": { "input": "I have a cauliflower, two potatoes, an onion, a head of broccoli, a cabbage, a lettuce head, a garlic, a dog, a carrot, and four stalks of celery.", "output": "13" }, "436": { "input": "I have a nectarine, a grape, a banana, and an orange.", "output": "4" }, "437": { "input": "I have a yam, a lettuce head, and a stalk of celery.", "output": "3" }, "438": { "input": "I have a donkey, a rabbit, a cow, a mouse, and a goat.", "output": "5" }, "439": { "input": "I have a trumpet, a clarinet, an accordion, a piano, and a trombone.", "output": "5" }, "440": { "input": "I have two ovens, a table, a toaster, a lamp, a couch, and a stove.", "output": "7" }, "441": { "input": "I have a bed, a stove, two lamps, a couch, a microwave, a chair, three fridges, a table, an oven, and four toasters.", "output": "16" }, "442": { "input": "I have four grapes, an orange, an apple, three beds, and a stove.", "output": "6" }, "443": { "input": "I have five apples, a grape, and a nectarine.", "output": "7" }, "444": { "input": "I have a flute, a lettuce head, and a garlic.", "output": "2" }, "445": { "input": "I have a flute, and two trumpets.", "output": "3" }, "446": { "input": "I have a cow, a strawberry, a nectarine, a grape, an orange, a peach, and two pigs.", "output": "5" }, "447": { "input": "I have a lamp, three stoves, and a microwave.", "output": "5" }, "448": { "input": "I have a violin, an accordion, three drums, four clarinets, a trombone, and a piano.", "output": "11" }, "449": { "input": "I have an oven, a bed, a table, a stove, a lamp, three toasters, and a car.", "output": "9" }, "450": { "input": "I have a fridge, a couch, a toaster, a microwave, three beds, and a stove.", "output": "8" }, "451": { "input": "I have a stove, a fridge, an oven, and a toaster.", "output": "4" }, "452": { "input": "I have a blackberry, five grapes, a plum, three apples, a strawberry, and a banana.", "output": "12" }, "453": { "input": "I have a violin, a trumpet, three trombones, and a clarinet.", "output": "6" }, "454": { "input": "I have a clarinet, a trumpet, a trombone, and a violin.", "output": "4" }, "455": { "input": "I have an onion, three rabbits, a pig, a donkey, two snails, and a duck.", "output": "8" }, "456": { "input": "I have two cows, a dog, a bear, three fish, a mouse, a cat, a frog, two donkeys, a goat, and a duck.", "output": "14" }, "457": { "input": "I have a garlic, a lettuce head, a potato, an onion, a carrot, and a cauliflower.", "output": "6" }, "458": { "input": "I have a garlic, an onion, two yams, a cabbage, three stalks of celery, a lettuce head, a cauliflower, a carrot, and a potato.", "output": "12" }, "459": { "input": "I have a bed, an oven, a table, a chair, a lamp, a couch, a stove, three fridges, two cars, and a microwave.", "output": "13" }, "460": { "input": "I have a lettuce head, three garlics, a yam, a stalk of celery, a cabbage, a potato, and two cauliflowers.", "output": "10" }, "461": { "input": "I have a garlic, and a stalk of celery.", "output": "2" }, "462": { "input": "I have an accordion, a trumpet, and a clarinet.", "output": "3" }, "463": { "input": "I have two carrots, a cabbage, a yam, a garlic, and two onions.", "output": "7" }, "464": { "input": "I have a microwave, and two couches.", "output": "3" }, "465": { "input": "I have a carrot, a garlic, a head of broccoli, a lettuce head, a cauliflower, a stalk of celery, a cabbage, a yam, an onion, and a potato.", "output": "10" }, "466": { "input": "I have a flute, three clarinets, a trombone, two accordions, a violin, a drum, a trumpet, and two pianos.", "output": "12" }, "467": { "input": "I have an orange, a trumpet, a drum, a trombone, a piano, a nectarine, a clarinet, a banana, an accordion, a violin, and a flute.", "output": "8" }, "468": { "input": "I have a head of broccoli, a cauliflower, a lettuce head, a potato, a garlic, and a carrot.", "output": "6" }, "469": { "input": "I have a rabbit, a bear, a fish, a dog, a goat, a cat, three snails, and a cow.", "output": "10" }, "470": { "input": "I have a couch, a fridge, a lamp, a table, a microwave, three ovens, a car, a bed, a toaster, and a stove.", "output": "12" }, "471": { "input": "I have an accordion, a flute, a trumpet, a clarinet, a violin, a trombone, a drum, and a piano.", "output": "8" }, "472": { "input": "I have three cabbages, and two onions.", "output": "5" }, "473": { "input": "I have three fish, four cows, a snake, a duck, a cat, and a goat.", "output": "11" }, "474": { "input": "I have two potatoes, a yam, a garlic, an onion, two lettuce heads, a stalk of celery, and three heads of broccoli.", "output": "11" }, "475": { "input": "I have a table, a car, a stove, a lamp, a toaster, a fridge, and an oven.", "output": "7" }, "476": { "input": "I have a cat, three snails, a frog, three bears, two cows, a chicken, four snakes, and two fish.", "output": "17" }, "477": { "input": "I have a frog, a cat, a goat, a duck, a pig, three donkeys, and a rabbit.", "output": "9" }, "478": { "input": "I have a snail, a cat, four fish, a duck, a mouse, a cow, and two bears.", "output": "11" }, "479": { "input": "I have two rabbits, a nectarine, three apples, a duck, two bears, and a mouse.", "output": "6" }, "480": { "input": "I have a lettuce head, three heads of broccoli, an oven, a yam, a potato, a lamp, a cauliflower, four stalks of celery, a cabbage, a microwave, and two onions.", "output": "14" }, "481": { "input": "I have an apple, a grape, a nectarine, an orange, a peach, a strawberry, and a plum.", "output": "7" }, "482": { "input": "I have a cow, and a goat.", "output": "2" }, "483": { "input": "I have a banana, a strawberry, a plum, a peach, a nectarine, an orange, two raspberries, a grape, and a blackberry.", "output": "10" }, "484": { "input": "I have a peach, an accordion, a nectarine, a flute, a raspberry, an apple, four grapes, a plum, a strawberry, a banana, and two oranges.", "output": "13" }, "485": { "input": "I have a head of broccoli, a stalk of celery, three yams, and four potatoes.", "output": "9" }, "486": { "input": "I have two accordions, a drum, a mouse, a cat, and a rabbit.", "output": "3" }, "487": { "input": "I have a snail, three cows, a rabbit, a goat, a frog, a mouse, a donkey, two snakes, and three ducks.", "output": "14" }, "488": { "input": "I have two apples, a blackberry, four plums, a nectarine, three grapes, and a raspberry.", "output": "12" }, "489": { "input": "I have a cabbage, a garlic, a yam, a cauliflower, a head of broccoli, and a lettuce head.", "output": "6" }, "490": { "input": "I have a clarinet, five trumpets, a piano, a trombone, a drum, a violin, and an accordion.", "output": "11" }, "491": { "input": "I have a cabbage, four stalks of celery, a potato, two heads of broccoli, a yam, a lettuce head, a carrot, a garlic, and a cauliflower.", "output": "13" }, "492": { "input": "I have a lettuce head, an apple, five plums, a blackberry, a peach, a grape, a raspberry, a cabbage, a nectarine, a banana, an orange, two strawberries, and a carrot.", "output": "15" }, "493": { "input": "I have two fish, a mouse, three ducks, three bears, a goat, a cow, two pigs, a frog, a donkey, and two cats.", "output": "17" }, "494": { "input": "I have three dogs, a cat, a donkey, three cows, a snake, a snail, a rabbit, a chicken, and two mice.", "output": "14" }, "495": { "input": "I have a banana, two stoves, a strawberry, and a couch.", "output": "2" }, "496": { "input": "I have a trombone, and an accordion.", "output": "2" }, "497": { "input": "I have a head of broccoli, two cauliflowers, a cabbage, a garlic, a carrot, a yam, an onion, and a stalk of celery.", "output": "9" }, "498": { "input": "I have a yam, a lettuce head, a stalk of celery, four cabbages, four carrots, and an onion.", "output": "12" }, "499": { "input": "I have a clarinet, an accordion, a chicken, a drum, a trumpet, and a trombone.", "output": "5" }, "500": { "input": "I have a trumpet, and a piano.", "output": "2" }, "501": { "input": "I have a stove, a car, a table, and a toaster.", "output": "4" }, "502": { "input": "I have a trumpet, two violins, a trombone, a flute, and a drum.", "output": "6" }, "503": { "input": "I have a couch, a chair, an oven, a bed, a stove, a microwave, a toaster, a fridge, five lamps, and a table.", "output": "14" }, "504": { "input": "I have a yam, and a lettuce head.", "output": "2" }, "505": { "input": "I have two flutes, a piano, and a trumpet.", "output": "4" }, "506": { "input": "I have a dog, a cow, a bear, a fish, a snail, and a piano.", "output": "5" }, "507": { "input": "I have an accordion, a clarinet, a trumpet, two drums, three violins, a piano, and four flutes.", "output": "13" }, "508": { "input": "I have a carrot, two garlics, a potato, and a yam.", "output": "5" }, "509": { "input": "I have a garlic, a cabbage, a carrot, and a lettuce head.", "output": "4" }, "510": { "input": "I have a head of broccoli, a carrot, an onion, a cauliflower, a cabbage, a stalk of celery, a garlic, four potatoes, two yams, and a lettuce head.", "output": "14" }, "511": { "input": "I have an apple, a plum, a strawberry, a peach, a nectarine, a banana, a grape, and a blackberry.", "output": "8" }, "512": { "input": "I have four nectarines, a banana, and a peach.", "output": "6" }, "513": { "input": "I have a piano, a flute, a drum, two trumpets, three trombones, an accordion, a violin, and a clarinet.", "output": "11" }, "514": { "input": "I have a trumpet, a clarinet, a trombone, five violins, a flute, three microwaves, a drum, and an accordion.", "output": "11" }, "515": { "input": "I have a piano, a trumpet, and a clarinet.", "output": "3" }, "516": { "input": "I have a pig, and a dog.", "output": "2" }, "517": { "input": "I have a banana, a blackberry, a plum, a grape, a nectarine, an orange, and a raspberry.", "output": "7" }, "518": { "input": "I have a toaster, an apple, a car, a strawberry, a grape, a blackberry, a raspberry, a peach, a nectarine, and a banana.", "output": "8" }, "519": { "input": "I have a cow, a goat, a duck, a bear, a fish, an apple, a rabbit, a mouse, a snake, a chicken, and a pig.", "output": "10" }, "520": { "input": "I have two microwaves, four toasters, a couch, a stove, a table, a car, a lamp, and a chair.", "output": "12" }, "521": { "input": "I have a pig, a chicken, a donkey, four rabbits, a bear, a snake, a goat, a fish, and a frog.", "output": "12" }, "522": { "input": "I have two frogs, a snake, and a dog.", "output": "4" }, "523": { "input": "I have a donkey, a rabbit, a cow, and a goat.", "output": "4" }, "524": { "input": "I have a chair, a fridge, a lamp, and a table.", "output": "4" }, "525": { "input": "I have a table, a fridge, a microwave, and a stove.", "output": "4" }, "526": { "input": "I have a trombone, a trumpet, an accordion, a plum, a flute, a drum, a clarinet, an orange, a violin, and a piano.", "output": "8" }, "527": { "input": "I have two plums, an orange, a blackberry, a raspberry, four apples, a strawberry, a nectarine, and a potato.", "output": "11" }, "528": { "input": "I have a piano, a lamp, a clarinet, a bed, two flutes, two drums, a trombone, an accordion, three violins, a trumpet, and an oven.", "output": "12" }, "529": { "input": "I have a violin, a trombone, three drums, a clarinet, a piano, a trumpet, and a flute.", "output": "9" }, "530": { "input": "I have a snail, a bear, a dog, and a chicken.", "output": "4" }, "531": { "input": "I have a piano, a violin, an accordion, a fridge, two clarinets, a flute, a trumpet, a trombone, a drum, and an oven.", "output": "9" }, "532": { "input": "I have a stalk of celery, a potato, a cabbage, a lettuce head, a cauliflower, a cat, a garlic, an onion, and a head of broccoli.", "output": "8" }, "533": { "input": "I have two chairs, a toaster, and a bed.", "output": "4" }, "534": { "input": "I have a drum, a trumpet, a flute, a clarinet, and three trombones.", "output": "7" }, "535": { "input": "I have a fridge, a microwave, a table, a chair, a toaster, a lamp, a bed, a couch, three cars, and an oven.", "output": "12" }, "536": { "input": "I have two onions, and a stalk of celery.", "output": "3" }, "537": { "input": "I have a bed, a stove, a fridge, a toaster, an oven, a car, and a table.", "output": "7" }, "538": { "input": "I have a blackberry, a plum, a strawberry, a raspberry, two oranges, a peach, a nectarine, a banana, and an apple.", "output": "10" }, "539": { "input": "I have a yam, a trumpet, a lettuce head, four onions, a violin, a cauliflower, and a piano.", "output": "7" }, "540": { "input": "I have a bear, a dog, a rabbit, a piano, four snails, a mouse, a donkey, a pig, and a frog.", "output": "11" }, "541": { "input": "I have three pianos, an accordion, a violin, four trombones, and a drum.", "output": "10" }, "542": { "input": "I have a duck, a donkey, a dog, and a goat.", "output": "4" }, "543": { "input": "I have a piano, a trumpet, and two accordions.", "output": "4" }, "544": { "input": "I have a blackberry, two peaches, an apple, a nectarine, three raspberries, a plum, five oranges, and a strawberry.", "output": "15" }, "545": { "input": "I have an oven, and a toaster.", "output": "2" }, "546": { "input": "I have a yam, a head of broccoli, an onion, a garlic, a lettuce head, a cauliflower, a carrot, a potato, a stalk of celery, and a cabbage.", "output": "10" }, "547": { "input": "I have three ovens, a fridge, and two beds.", "output": "6" }, "548": { "input": "I have three trombones, and two accordions.", "output": "5" }, "549": { "input": "I have a toaster, a microwave, a couch, a lamp, and a car.", "output": "5" }, "550": { "input": "I have a toaster, a clarinet, a piano, an accordion, a trombone, two trumpets, a flute, a chair, an oven, a drum, and a violin.", "output": "9" }, "551": { "input": "I have a duck, and three donkeys.", "output": "4" }, "552": { "input": "I have a garlic, a fish, a lettuce head, two yams, and three stalks of celery.", "output": "7" }, "553": { "input": "I have a fridge, and a chair.", "output": "2" }, "554": { "input": "I have an apple, and three oranges.", "output": "4" }, "555": { "input": "I have three strawberries, an orange, a blackberry, an apple, two peaches, four plums, a raspberry, a nectarine, five grapes, and a banana.", "output": "20" }, "556": { "input": "I have a flute, a drum, a trombone, a violin, and two clarinets.", "output": "6" }, "557": { "input": "I have five stoves, a fridge, a lamp, a microwave, a table, and an oven.", "output": "10" }, "558": { "input": "I have a flute, a drum, two trombones, a violin, a piano, an accordion, and a trumpet.", "output": "8" }, "559": { "input": "I have a cabbage, a grape, a peach, a lettuce head, an apple, a raspberry, a banana, and a plum.", "output": "6" }, "560": { "input": "I have a carrot, two lettuce heads, a stalk of celery, an oven, a chair, a cabbage, a head of broccoli, and a garlic.", "output": "7" }, "561": { "input": "I have a piano, and a clarinet.", "output": "2" }, "562": { "input": "I have a violin, a trombone, a clarinet, a drum, a flute, a trumpet, a piano, and an accordion.", "output": "8" }, "563": { "input": "I have a rabbit, a cow, a donkey, four cats, a bear, a snake, a fish, an accordion, two pigs, three chickens, a snail, and a flute.", "output": "16" }, "564": { "input": "I have a piano, a trombone, a violin, and a flute.", "output": "4" }, "565": { "input": "I have a clarinet, a trombone, and a piano.", "output": "3" }, "566": { "input": "I have a carrot, a potato, two onions, two garlics, a stalk of celery, a head of broccoli, a yam, a cabbage, a lettuce head, and a cauliflower.", "output": "12" }, "567": { "input": "I have a plum, a grape, a strawberry, a raspberry, an orange, a peach, an apple, two bananas, and a blackberry.", "output": "10" }, "568": { "input": "I have a cabbage, a stalk of celery, a carrot, a lettuce head, a yam, three heads of broccoli, three potatoes, and two cauliflowers.", "output": "13" }, "569": { "input": "I have a flute, a trumpet, a trombone, a clarinet, a piano, a drum, an accordion, and a violin.", "output": "8" }, "570": { "input": "I have a dog, a goat, a chicken, a fish, a cat, a cow, a duck, and a rabbit.", "output": "8" }, "571": { "input": "I have two potatoes, a garlic, a yam, two stalks of celery, a cauliflower, a carrot, a head of broccoli, and two onions.", "output": "11" }, "572": { "input": "I have a cauliflower, a head of broccoli, a potato, a carrot, a garlic, a lettuce head, and a yam.", "output": "7" }, "573": { "input": "I have a yam, a cauliflower, a stalk of celery, two violins, a piano, a trombone, two clarinets, two flutes, and three drums.", "output": "11" }, "574": { "input": "I have a drum, two accordions, three flutes, a potato, a clarinet, a trumpet, a trombone, four violins, and a lettuce head.", "output": "13" }, "575": { "input": "I have an orange, and a grape.", "output": "2" }, "576": { "input": "I have a bed, four fridges, a lamp, a stove, three couches, a chair, a car, three toasters, and three tables.", "output": "18" }, "577": { "input": "I have two clarinets, a cabbage, a potato, a head of broccoli, a trombone, three accordions, a garlic, and a yam.", "output": "5" }, "578": { "input": "I have a flute, an accordion, a bear, and a piano.", "output": "3" }, "579": { "input": "I have two drums, a carrot, a clarinet, a flute, a trumpet, five trombones, four accordions, a piano, and a violin.", "output": "16" }, "580": { "input": "I have a piano, a trombone, three drums, an accordion, and a flute.", "output": "7" }, "581": { "input": "I have two dogs, a fish, a rabbit, and a pig.", "output": "5" }, "582": { "input": "I have a trumpet, a violin, an accordion, a flute, and a piano.", "output": "5" }, "583": { "input": "I have a trombone, four flutes, a piano, a trumpet, a drum, and a clarinet.", "output": "9" }, "584": { "input": "I have a donkey, a cat, two bears, a pig, and a goat.", "output": "6" }, "585": { "input": "I have a frog, a duck, a bear, two donkeys, a fish, a goat, and a rabbit.", "output": "8" }, "586": { "input": "I have an accordion, a clarinet, five drums, two trombones, and a trumpet.", "output": "10" }, "587": { "input": "I have an accordion, a toaster, a piano, a trombone, two clarinets, three beds, and a violin.", "output": "6" }, "588": { "input": "I have a toaster, an oven, a lamp, three beds, a chair, three microwaves, a car, a fridge, and a stove.", "output": "13" }, "589": { "input": "I have a plum, a banana, a blackberry, three nectarines, and a raspberry.", "output": "7" }, "590": { "input": "I have a microwave, a chair, and a table.", "output": "3" }, "591": { "input": "I have a microwave, a table, a chair, four couches, a lamp, and a toaster.", "output": "9" }, "592": { "input": "I have a trumpet, two drums, an accordion, and a clarinet.", "output": "5" }, "593": { "input": "I have a blackberry, a grape, a raspberry, a nectarine, a banana, and four apples.", "output": "9" }, "594": { "input": "I have a plum, an apple, two bananas, an orange, a grape, two strawberries, a raspberry, a nectarine, and three blackberries.", "output": "13" }, "595": { "input": "I have a raspberry, a banana, and an orange.", "output": "3" }, "596": { "input": "I have a cow, a garlic, a stalk of celery, a cabbage, an onion, a lettuce head, a snail, a carrot, a potato, three heads of broccoli, a yam, and a cauliflower.", "output": "12" }, "597": { "input": "I have a yam, a garlic, and a head of broccoli.", "output": "3" }, "598": { "input": "I have a nectarine, and a raspberry.", "output": "2" }, "599": { "input": "I have two stoves, an oven, three beds, a car, a table, a microwave, a chair, and three couches.", "output": "13" }, "600": { "input": "I have a clarinet, a trumpet, a piano, a trombone, an accordion, a violin, and a flute.", "output": "7" }, "601": { "input": "I have an oven, three lamps, a bed, and a stove.", "output": "6" }, "602": { "input": "I have two cows, a frog, and a dog.", "output": "4" }, "603": { "input": "I have a peach, an orange, two nectarines, a raspberry, a grape, and an apple.", "output": "7" }, "604": { "input": "I have a flute, a trumpet, two trombones, an accordion, a drum, a violin, a clarinet, a duck, a piano, and a bear.", "output": "9" }, "605": { "input": "I have a strawberry, two plums, and an orange.", "output": "4" }, "606": { "input": "I have an accordion, and a flute.", "output": "2" }, "607": { "input": "I have a toaster, a lamp, a stove, a couch, a chair, a bed, and an oven.", "output": "7" }, "608": { "input": "I have a strawberry, a peach, two nectarines, and a grape.", "output": "5" }, "609": { "input": "I have a piano, three drums, a violin, a flute, a clarinet, and three trumpets.", "output": "10" }, "610": { "input": "I have a frog, a bear, a snail, two goats, a mouse, a chicken, and a pig.", "output": "8" }, "611": { "input": "I have a flute, a trombone, a drum, a trumpet, two clarinets, an accordion, a violin, and a piano.", "output": "9" }, "612": { "input": "I have a plum, two oranges, a strawberry, an apple, a nectarine, a banana, a grape, three raspberries, and a blackberry.", "output": "12" }, "613": { "input": "I have a goat, three bears, two fish, a pig, a rabbit, a cat, a donkey, and a frog.", "output": "11" }, "614": { "input": "I have an apple, an orange, a banana, a raspberry, a strawberry, a blackberry, a plum, a nectarine, three grapes, and a peach.", "output": "12" }, "615": { "input": "I have a violin, a microwave, a toaster, and a trumpet.", "output": "2" }, "616": { "input": "I have an apple, three garlics, a head of broccoli, and a grape.", "output": "2" }, "617": { "input": "I have a plum, a blackberry, and a raspberry.", "output": "3" }, "618": { "input": "I have a couch, an oven, a microwave, a lamp, a table, a stove, and two fridges.", "output": "8" }, "619": { "input": "I have a microwave, a fridge, and a couch.", "output": "3" }, "620": { "input": "I have two ducks, a bear, a frog, a cat, a snake, a mouse, a pig, a dog, and a chicken.", "output": "10" }, "621": { "input": "I have a yam, a carrot, a cabbage, two garlics, a potato, a stalk of celery, a head of broccoli, and a cauliflower.", "output": "9" }, "622": { "input": "I have a peach, and a nectarine.", "output": "2" }, "623": { "input": "I have a flute, a drum, and a trombone.", "output": "3" }, "624": { "input": "I have a toaster, a couch, two lamps, a table, a car, an oven, two microwaves, and a bed.", "output": "10" }, "625": { "input": "I have a car, a fridge, a table, three stoves, a lamp, an oven, and a microwave.", "output": "9" }, "626": { "input": "I have a trumpet, an accordion, two trombones, a clarinet, a piano, and a drum.", "output": "7" }, "627": { "input": "I have a mouse, an onion, a pig, a snake, and a yam.", "output": "3" }, "628": { "input": "I have an oven, a chair, a toaster, a microwave, a fridge, three tables, and four stoves.", "output": "12" }, "629": { "input": "I have four peaches, two onions, a grape, three bananas, and three stalks of celery.", "output": "5" }, "630": { "input": "I have a strawberry, and a plum.", "output": "2" }, "631": { "input": "I have two lamps, a chair, and a table.", "output": "4" }, "632": { "input": "I have a cat, and a frog.", "output": "2" }, "633": { "input": "I have a carrot, a potato, a cabbage, two yams, a garlic, and a cauliflower.", "output": "7" }, "634": { "input": "I have a car, a bed, a fridge, a microwave, a table, an oven, a stove, a lamp, and a toaster.", "output": "9" }, "635": { "input": "I have an accordion, a trombone, a flute, and a drum.", "output": "4" }, "636": { "input": "I have a nectarine, and a strawberry.", "output": "2" }, "637": { "input": "I have a stalk of celery, a carrot, a cauliflower, five onions, a garlic, and a yam.", "output": "10" }, "638": { "input": "I have four pianos, two strawberries, two trumpets, a flute, a banana, an apple, a peach, two raspberries, a grape, a blackberry, an orange, and a plum.", "output": "11" }, "639": { "input": "I have an accordion, five clarinets, a violin, a trumpet, and three stalks of celery.", "output": "8" }, "640": { "input": "I have two ovens, a toaster, a table, a microwave, a fridge, a lamp, a bed, and a car.", "output": "9" }, "641": { "input": "I have three rabbits, a cat, a fish, a goat, two snails, a cow, a trumpet, a mouse, and a trombone.", "output": "10" }, "642": { "input": "I have three snails, a donkey, a cow, a chicken, a dog, a cat, and a mouse.", "output": "9" }, "643": { "input": "I have two grapes, a plum, a peach, an orange, an apple, two blackberries, a banana, and a nectarine.", "output": "10" }, "644": { "input": "I have a clarinet, a drum, a 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flute.", "output": "3" }, "688": { "input": "I have a table, five stoves, a microwave, a bed, a car, a fridge, two chairs, and an oven.", "output": "13" }, "689": { "input": "I have a snake, a goat, a bear, two cows, and a mouse.", "output": "6" }, "690": { "input": "I have a head of broccoli, a carrot, a garlic, and two stalks of celery.", "output": "5" }, "691": { "input": "I have a pig, and a cow.", "output": "2" }, "692": { "input": "I have a couch, a microwave, a toaster, a bed, and a stove.", "output": "5" }, "693": { "input": "I have a lamp, and an oven.", "output": "2" }, "694": { "input": "I have a flute, two strawberries, a nectarine, a plum, two grapes, a banana, a raspberry, and a blackberry.", "output": "9" }, "695": { "input": "I have two cats, a mouse, two donkeys, a chicken, a bear, a dog, and a fish.", "output": "9" }, "696": { "input": "I have a grape, a head of broccoli, a nectarine, three blackberries, a plum, and a peach.", "output": "7" }, "697": { "input": "I have a raspberry, a cat, a rabbit, a mouse, a pig, two snails, a fish, two cows, a snake, a goat, and a duck.", "output": "12" }, "698": { "input": "I have an oven, two stoves, a microwave, four couches, a car, two beds, a chair, three toasters, two lamps, and a fridge.", "output": "18" }, "699": { "input": "I have a donkey, a cat, a chicken, a goat, a pig, a snake, and a mouse.", "output": "7" }, "700": { "input": "I have a head of broccoli, five carrots, a cabbage, a cauliflower, a garlic, an onion, a yam, a stalk of celery, and a lettuce head.", "output": "13" } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/induce/odd_one_out.json ================================================ { "metadata": { "num_examples": 19 }, "examples": { "1": { "input": "listen, study, tell, happy, watch ", "output": "happy" }, "2": { "input": "mes, Iowa, Des Moines, Story County, machine learning ", "output": "machine learning" }, "3": { "input": "ntist, doctor, postman, hospital, cashier ", "output": "hospital" }, "4": { "input": "Monday, spring, summer, winter, fall ", "output": "Monday" }, "5": { "input": "Dublin, France, Tokyo, Athens, Paris, San Francisco ", "output": "France" }, "6": { "input": "Michael Jordan, machine learning, basketball, baseball, black ", "output": "machine learning" }, "7": { "input": "bread, bakery, butcher's, market ", "output": "bread" }, "8": { "input": "angle, circle, book, triangle, heptagon, tetrahedron ", "output": "book" }, "9": { "input": "appetizer, plumber, teacher, waiter, painter ", "output": "appetizer" }, "10": { "input": "ala, bear, white, zebra, kangaroo, horse ", "output": "white" }, "11": { "input": "pencil, eraser, baby, ruler, notebook ", "output": "baby" }, "12": { "input": "n, boy, or, under ", "output": "boy" }, "13": { "input": "bus, van, car, fly ", "output": "fly" }, "14": { "input": "shrimp, whale, tiger, eel, shark ", "output": "tiger" }, "15": { "input": "John, 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[m]", "output": "majestic", "sentence": "Rarely is any lion majestic.", "letter": "m", "words": [ "majestic" ], "source": "train" }, "65": { "input": "You should always lock your door, no matter how fancy the hotel might be. [s]", "output": "should", "sentence": "You should always lock your door, no matter how fancy the hotel might be.", "letter": "s", "words": [ "should" ], "source": "train" }, "66": { "input": "It is easy to please John. [p]", "output": "please", "sentence": "It is easy to please John.", "letter": "p", "words": [ "please" ], "source": "train" }, "67": { "input": "Smith loaned, and his widow later donated, a valuable collection of manuscripts to the library. [t]", "output": "to the", "sentence": "Smith loaned, and his widow later donated, a valuable collection of manuscripts to the library.", "letter": "t", "words": [ "to", "the" ], "source": "train" }, "68": { "input": "This building got taller and wider than that one. 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[k]", "output": "kissed", "sentence": "The robot kissed itself.", "letter": "k", "words": [ "kissed" ], "source": "train" }, "280": { "input": "Herman mixed the eggs with the cream. [m]", "output": "mixed", "sentence": "Herman mixed the eggs with the cream.", "letter": "m", "words": [ "mixed" ], "source": "train" }, "281": { "input": "It is difficult for me to concentrate on calculus. [t]", "output": "to", "sentence": "It is difficult for me to concentrate on calculus.", "letter": "t", "words": [ "to" ], "source": "train" }, "282": { "input": "I went out with a girl who it pleased that John showed up. [j]", "output": "john", "sentence": "I went out with a girl who it pleased that John showed up.", "letter": "j", "words": [ "John" ], "source": "train" }, "283": { "input": "Who bought that piano for his secret fianc e? [e]", "output": "e", "sentence": "Who bought that piano for his secret fianc e?", "letter": "e", "words": [ "e" ], "source": "train" }, "284": { "input": "John promised Bill to leave tomorrow morning. [l]", "output": "leave", "sentence": "John promised Bill to leave tomorrow morning.", "letter": "l", "words": [ "leave" ], "source": "train" }, "285": { "input": "Alison poked the needle through the denim. [n]", "output": "needle", "sentence": "Alison poked the needle through the denim.", "letter": "n", "words": [ "needle" ], "source": "train" }, "286": { "input": "Carla hit the door. [h]", "output": "hit", "sentence": "Carla hit the door.", "letter": "h", "words": [ "hit" ], "source": "train" }, "287": { "input": "Ellen said to Helen that melons were selling well. [e]", "output": "ellen", "sentence": "Ellen said to Helen that melons were selling well.", "letter": "e", "words": [ "Ellen" ], "source": "train" }, "288": { "input": "Never had Sir Thomas been so offended. [n]", "output": "never", "sentence": "Never had Sir Thomas been so offended.", "letter": "n", "words": [ "Never" ], "source": "train" }, "289": { "input": "Medea poisoned more children than Jason did. [t]", "output": "than", "sentence": "Medea poisoned more children than Jason did.", "letter": "t", "words": [ "than" ], "source": "train" }, "290": { "input": "Susan rode a bright blue train from New York. [y]", "output": "york", "sentence": "Susan rode a bright blue train from New York.", "letter": "y", "words": [ "York" ], "source": "train" }, "291": { "input": "There remained just a few problems to be solved. [b]", "output": "be", "sentence": "There remained just a few problems to be solved.", "letter": "b", "words": [ "be" ], "source": "train" }, "292": { "input": "We would like John to win. [t]", "output": "to", "sentence": "We would like John to win.", "letter": "t", "words": [ "to" ], "source": "train" }, "293": { "input": "What did he look up? 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[m]", "output": "met", "sentence": "They met someone who knows the professor.", "letter": "m", "words": [ "met" ], "source": "train" }, "524": { "input": "How long did this fit of generosity last and who gave what to whom? [h]", "output": "how", "sentence": "How long did this fit of generosity last and who gave what to whom?", "letter": "h", "words": [ "How" ], "source": "train" }, "525": { "input": "Susan found every book she had been looking for at Borders. [l]", "output": "looking", "sentence": "Susan found every book she had been looking for at Borders.", "letter": "l", "words": [ "looking" ], "source": "train" }, "526": { "input": "Jessica loaded boxes into the wagon. [j]", "output": "jessica", "sentence": "Jessica loaded boxes into the wagon.", "letter": "j", "words": [ "Jessica" ], "source": "train" }, "527": { "input": "Mike expected Greg incorrectly to take out the trash. 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[j]", "output": "jury", "sentence": "I owe it to you that the jury acquitted me.", "letter": "j", "words": [ "jury" ], "source": "train" }, "998": { "input": "Do not end a sentence with a preposition. [n]", "output": "not", "sentence": "Do not end a sentence with a preposition.", "letter": "n", "words": [ "not" ], "source": "train" }, "999": { "input": "Jean seems to be in a good mood. [t]", "output": "to", "sentence": "Jean seems to be in a good mood.", "letter": "t", "words": [ "to" ], "source": "train" }, "1000": { "input": "The plucky platypus kicked a can of soup from New York to Tucson. [k]", "output": "kicked", "sentence": "The plucky platypus kicked a can of soup from New York to Tucson.", "letter": "k", "words": [ "kicked" ], "source": "train" }, "1001": { "input": "Their teaching material is what we are using. [m]", "output": "material", "sentence": "Their teaching material is what we are using.", "letter": "m", "words": [ "material" ], "source": "train" }, "1002": { "input": "I was surprised that he stole the watch, in as far as that was a daring thing to do. [d]", "output": "daring do", "sentence": "I was surprised that he stole the watch, in as far as that was a daring thing to do.", "letter": "d", "words": [ "daring", "do" ], "source": "train" }, "1003": { "input": "Which girl did he give my binoculars to? [h]", "output": "he", "sentence": "Which girl did he give my binoculars to?", "letter": "h", "words": [ "he" ], "source": "train" }, "1004": { "input": "Kathleen hates those pictures of herself. [k]", "output": "kathleen", "sentence": "Kathleen hates those pictures of herself.", "letter": "k", "words": [ "Kathleen" ], "source": "train" }, "1005": { "input": "Exactly two boys kissed some girl. [g]", "output": "girl", "sentence": "Exactly two boys kissed some girl.", "letter": "g", "words": [ "girl" ], "source": "train" }, "1006": { "input": "The monkey seems despondent that it is in a cage. [c]", "output": "cage", "sentence": "The monkey seems despondent that it is in a cage.", "letter": "c", "words": [ "cage" ], "source": "train" }, "1007": { "input": "China is a country that Joe wants to visit, and he will too, if he gets enough money. [a]", "output": "a and", "sentence": "China is a country that Joe wants to visit, and he will too, if he gets enough money.", "letter": "a", "words": [ "a", "and" ], "source": "train" }, "1008": { "input": "The bag is bulging with groceries. [g]", "output": "groceries", "sentence": "The bag is bulging with groceries.", "letter": "g", "words": [ "groceries" ], "source": "train" }, "1009": { "input": "The cat shot into the kitchen on Sunday morning carrying a dead mouse. [k]", "output": "kitchen", "sentence": "The cat shot into the kitchen on Sunday morning carrying a dead mouse.", "letter": "k", "words": [ "kitchen" ], "source": "train" }, "1010": { "input": "It would be inconvenience for you to leave so soon. [l]", "output": "leave", "sentence": "It would be inconvenience for you to leave so soon.", "letter": "l", "words": [ "leave" ], "source": "train" }, "1011": { "input": "I have a feeling the company will squander the money. [a]", "output": "a", "sentence": "I have a feeling the company will squander the money.", "letter": "a", "words": [ "a" ], "source": "train" }, "1012": { "input": "He is believed by John to have been at the game. [g]", "output": "game", "sentence": "He is believed by John to have been at the game.", "letter": "g", "words": [ "game" ], "source": "train" }, "1013": { "input": "Keep yourself clean! [y]", "output": "yourself", "sentence": "Keep yourself clean!", "letter": "y", "words": [ "yourself" ], "source": "train" }, "1014": { "input": "Mary will soon play the violin. [p]", "output": "play", "sentence": "Mary will soon play the violin.", "letter": "p", "words": [ "play" ], "source": "train" }, "1015": { "input": "I wonder what John bought how. [b]", "output": "bought", "sentence": "I wonder what John bought how.", "letter": "b", "words": [ "bought" ], "source": "train" }, "1016": { "input": "It is likely that Tami will leave New York. [n]", "output": "new", "sentence": "It is likely that Tami will leave New York.", "letter": "n", "words": [ "New" ], "source": "train" }, "1017": { "input": "The handsome, tall man kicked the ball. [m]", "output": "man", "sentence": "The handsome, tall man kicked the ball.", "letter": "m", "words": [ "man" ], "source": "train" }, "1018": { "input": "Only to the best students would he give this book. [w]", "output": "would", "sentence": "Only to the best students would he give this book.", "letter": "w", "words": [ "would" ], "source": "train" }, "1019": { "input": "Phillip gave the soldier the medal. [p]", "output": "phillip", "sentence": "Phillip gave the soldier the medal.", "letter": "p", "words": [ "Phillip" ], "source": "train" }, "1020": { "input": "Lee asked me how fond of chocolates the monkeys are. [t]", "output": "the", "sentence": "Lee asked me how fond of chocolates the monkeys are.", "letter": "t", "words": [ "the" ], "source": "train" }, "1021": { "input": "Carla slid those books across the table. [b]", "output": "books", "sentence": "Carla slid those books across the table.", "letter": "b", "words": [ "books" ], "source": "train" }, "1022": { "input": "Constantly reading Shakespeare satisfied me [c]", "output": "constantly", "sentence": "Constantly reading Shakespeare satisfied me", "letter": "c", "words": [ "Constantly" ], "source": "train" }, "1023": { "input": "Which goddess helped us? [u]", "output": "us", "sentence": "Which goddess helped us?", "letter": "u", "words": [ "us" ], "source": "train" }, "1024": { "input": "It is John who wants to look at your notes after class. [n]", "output": "notes", "sentence": "It is John who wants to look at your notes after class.", "letter": "n", "words": [ "notes" ], "source": "train" }, "1025": { "input": "We proclaimed John to the public to be a hero. [j]", "output": "john", "sentence": "We proclaimed John to the public to be a hero.", "letter": "j", "words": [ "John" ], "source": "train" }, "1026": { "input": "John laid the book on the table. [j]", "output": "john", "sentence": "John laid the book on the table.", "letter": "j", "words": [ "John" ], "source": "train" }, "1027": { "input": "I think that he eats asparagus. [i]", "output": "i", "sentence": "I think that he eats asparagus.", "letter": "i", "words": [ "I" ], "source": "train" }, "1028": { "input": "Sandy must, too. [t]", "output": "too", "sentence": "Sandy must, too.", "letter": "t", "words": [ "too" ], "source": "train" }, "1029": { "input": "Whether to win is a question Mary never considered. [m]", "output": "mary", "sentence": "Whether to win is a question Mary never considered.", "letter": "m", "words": [ "Mary" ], "source": "train" }, "1030": { "input": "Stacy hit a baseball to Julia. [t]", "output": "to", "sentence": "Stacy hit a baseball to Julia.", "letter": "t", "words": [ "to" ], "source": "train" }, "1031": { "input": "Ron heard a discussion in the foyer [r]", "output": "ron", "sentence": "Ron heard a discussion in the foyer", "letter": "r", "words": [ "Ron" ], "source": "train" }, "1032": { "input": "If you eat more, you want correspondingly less. [l]", "output": "less", "sentence": "If you eat more, you want correspondingly less.", "letter": "l", "words": [ "less" ], "source": "train" }, "1033": { "input": "John felt proud that his son won the game. [g]", "output": "game", "sentence": "John felt proud that his son won the game.", "letter": "g", "words": [ "game" ], "source": "train" }, "1034": { "input": "He can simply not have been working. [n]", "output": "not", "sentence": "He can simply not have been working.", "letter": "n", "words": [ "not" ], "source": "train" }, "1035": { "input": "I am frightened of tigers and fond of clowns without exception. [i]", "output": "i", "sentence": "I am frightened of tigers and fond of clowns without exception.", "letter": "i", "words": [ "I" ], "source": "train" }, "1036": { "input": "Sylvia jumped the horse over the fence. [h]", "output": "horse", "sentence": "Sylvia jumped the horse over the fence.", "letter": "h", "words": [ "horse" ], "source": "train" }, "1037": { "input": "Who did Mary see walking toward the railroad station? [s]", "output": "see station", "sentence": "Who did Mary see walking toward the railroad station?", "letter": "s", "words": [ "see", "station" ], "source": "train" }, "1038": { "input": "John heard their criticism of each other. [h]", "output": "heard", "sentence": "John heard their criticism of each other.", "letter": "h", "words": [ "heard" ], "source": "train" }, "1039": { "input": "A lion is usually majestic. [l]", "output": "lion", "sentence": "A lion is usually majestic.", "letter": "l", "words": [ "lion" ], "source": "train" }, "1040": { "input": "Duty made them not miss the weekly meetings. [d]", "output": "duty", "sentence": "Duty made them not miss the weekly meetings.", "letter": "d", "words": [ "Duty" ], "source": "train" }, "1041": { "input": "The cat trotted in the kitchen. [i]", "output": "in", "sentence": "The cat trotted in the kitchen.", "letter": "i", "words": [ "in" ], "source": "train" }, "1042": { "input": "Sally eats caviar too much for her own good. [g]", "output": "good", "sentence": "Sally eats caviar too much for her own good.", "letter": "g", "words": [ "good" ], "source": "train" }, "1043": { "input": "The socks are ready for you to put on. [a]", "output": "are", "sentence": "The socks are ready for you to put on.", "letter": "a", "words": [ "are" ], "source": "train" }, "1044": { "input": "The man went to the store. [m]", "output": "man", "sentence": "The man went to the store.", "letter": "m", "words": [ "man" ], "source": "train" }, "1045": { "input": "The question of whether John met Mary worries the people who support. [q]", "output": "question", "sentence": "The question of whether John met Mary worries the people who support.", "letter": "q", "words": [ "question" ], "source": "train" }, "1046": { "input": "The presentation of a plaque was a proud moment. [o]", "output": "of", "sentence": "The presentation of a plaque was a proud moment.", "letter": "o", "words": [ "of" ], "source": "train" }, "1047": { "input": "Did John wonder who would win the game? [g]", "output": "game", "sentence": "Did John wonder who would win the game?", "letter": "g", "words": [ "game" ], "source": "train" }, "1048": { "input": "I intended for Jenny to be present. [b]", "output": "be", "sentence": "I intended for Jenny to be present.", "letter": "b", "words": [ "be" ], "source": "train" }, "1049": { "input": "Confiscate any liquor. [c]", "output": "confiscate", "sentence": "Confiscate any liquor.", "letter": "c", "words": [ "Confiscate" ], "source": "train" }, "1050": { "input": "Either Professor Swansong or the graduate students are going to proctor the exam. [o]", "output": "or", "sentence": "Either Professor Swansong or the graduate students are going to proctor the exam.", "letter": "o", "words": [ "or" ], "source": "train" }, "1051": { "input": "We ate at a really fancy restaurant. [a]", "output": "ate at a", "sentence": "We ate at a really fancy restaurant.", "letter": "a", "words": [ "ate", "at", "a" ], "source": "train" }, "1052": { "input": "I worked on Sunday in the city on that project without a break. [a]", "output": "a", "sentence": "I worked on Sunday in the city on that project without a break.", "letter": "a", "words": [ "a" ], "source": "train" }, "1053": { "input": "Tony bent the rod with pliers. [b]", "output": "bent", "sentence": "Tony bent the rod with pliers.", "letter": "b", "words": [ "bent" ], "source": "train" }, "1054": { "input": "Sorry, I gave last week. [w]", "output": "week", "sentence": "Sorry, I gave last week.", "letter": "w", "words": [ "week" ], "source": "train" }, "1055": { "input": "Calvin did not do a back flip. [b]", "output": "back", "sentence": "Calvin did not do a back flip.", "letter": "b", "words": [ "back" ], "source": "train" }, "1056": { "input": "Any senator seems to become more corrupt, if he talks to more lobbyists. [b]", "output": "become", "sentence": "Any senator seems to become more corrupt, if he talks to more lobbyists.", "letter": "b", "words": [ "become" ], "source": "train" }, "1057": { "input": "John talked to any woman who came up to him. [w]", "output": "woman who", "sentence": "John talked to any woman who came up to him.", "letter": "w", "words": [ "woman", "who" ], "source": "train" }, "1058": { "input": "The man loved peanut butter cookies. [l]", "output": "loved", "sentence": "The man loved peanut butter cookies.", "letter": "l", "words": [ "loved" ], "source": "train" }, "1059": { "input": "Can you find the light bulb store? [b]", "output": "bulb", "sentence": "Can you find the light bulb store?", "letter": "b", "words": [ "bulb" ], "source": "train" }, "1060": { "input": "There seem to be a good feeling developing among the students. [a]", "output": "a among", "sentence": "There seem to be a good feeling developing among the students.", "letter": "a", "words": [ "a", "among" ], "source": "train" }, "1061": { "input": "It might have cracked open [i]", "output": "it", "sentence": "It might have cracked open", "letter": "i", "words": [ "It" ], "source": "train" }, "1062": { "input": "Would John hate that! [j]", "output": "john", "sentence": "Would John hate that!", "letter": "j", "words": [ "John" ], "source": "train" }, "1063": { "input": "John leave for Seoul tomorrow? [j]", "output": "john", "sentence": "John leave for Seoul tomorrow?", "letter": "j", "words": [ "John" ], "source": "train" }, "1064": { "input": "Jane was playing the piano. [w]", "output": "was", "sentence": "Jane was playing the piano.", "letter": "w", "words": [ "was" ], "source": "train" }, "1065": { "input": "Carla poured lemonade into the pitcher. [c]", "output": "carla", "sentence": "Carla poured lemonade into the pitcher.", "letter": "c", "words": [ "Carla" ], "source": "train" }, "1066": { "input": "I visited every town I had to. [h]", "output": "had", "sentence": "I visited every town I had to.", "letter": "h", "words": [ "had" ], "source": "train" }, "1067": { "input": "It was the man that bought the articles from him. [w]", "output": "was", "sentence": "It was the man that bought the articles from him.", "letter": "w", "words": [ "was" ], "source": "train" }, "1068": { "input": "It was a first edition of Richard III that Ann bought for . [a]", "output": "a ann", "sentence": "It was a first edition of Richard III that Ann bought for .", "letter": "a", "words": [ "a", "Ann" ], "source": "train" }, "1069": { "input": "There was found in this cave an ancient treasure trove. [c]", "output": "cave", "sentence": "There was found in this cave an ancient treasure trove.", "letter": "c", "words": [ "cave" ], "source": "train" }, "1070": { "input": "The fact that John is snoring is informative. [f]", "output": "fact", "sentence": "The fact that John is snoring is informative.", "letter": "f", "words": [ "fact" ], "source": "train" }, "1071": { "input": "Cynthia ate the peach with a fork. [w]", "output": "with", "sentence": "Cynthia ate the peach with a fork.", "letter": "w", "words": [ "with" ], "source": "train" }, "1072": { "input": "Mary gets depressed if she listens to the Grateful Dead. [l]", "output": "listens", "sentence": "Mary gets depressed if she listens to the Grateful Dead.", "letter": "l", "words": [ "listens" ], "source": "train" }, "1073": { "input": "John got the book from Bill. [b]", "output": "book bill", "sentence": "John got the book from Bill.", "letter": "b", "words": [ "book", "Bill" ], "source": "train" }, "1074": { "input": "I reported having kissed Mary. [i]", "output": "i", "sentence": "I reported having kissed Mary.", "letter": "i", "words": [ "I" ], "source": "train" }, "1075": { "input": "The more pictures of him appear in the news, the more likely John is to get arrested. [i]", "output": "in is", "sentence": "The more pictures of him appear in the news, the more likely John is to get arrested.", "letter": "i", "words": [ "in", "is" ], "source": "train" }, "1076": { "input": "Which poem did you go to hear a recital of last night? [h]", "output": "hear", "sentence": "Which poem did you go to hear a recital of last night?", "letter": "h", "words": [ "hear" ], "source": "train" }, "1077": { "input": "Ellen said to Helen that melons were selling well. [w]", "output": "were well", "sentence": "Ellen said to Helen that melons were selling well.", "letter": "w", "words": [ "were", "well" ], "source": "train" }, "1078": { "input": "Mary is such a wit that people are afraid of her. [a]", "output": "a are afraid", "sentence": "Mary is such a wit that people are afraid of her.", "letter": "a", "words": [ "a", "are", "afraid" ], "source": "train" }, "1079": { "input": "It bit me on the leg. [m]", "output": "me", "sentence": "It bit me on the leg.", "letter": "m", "words": [ "me" ], "source": "train" }, "1080": { "input": "The umpire called it of. [t]", "output": "the", "sentence": "The umpire called it of.", "letter": "t", "words": [ "The" ], "source": "train" }, "1081": { "input": "Jeff must have eaten the deep fried muffin. [d]", "output": "deep", "sentence": "Jeff must have eaten the deep fried muffin.", "letter": "d", "words": [ "deep" ], "source": "train" }, "1082": { "input": "Every who read anything passed. [r]", "output": "read", "sentence": "Every who read anything passed.", "letter": "r", "words": [ "read" ], "source": "train" }, "1083": { "input": "Calvin will have been eating. [h]", "output": "have", "sentence": "Calvin will have been eating.", "letter": "h", "words": [ "have" ], "source": "train" }, "1084": { "input": "to hurt his friends is stupid. [h]", "output": "hurt his", "sentence": "to hurt his friends is stupid.", "letter": "h", "words": [ "hurt", "his" ], "source": "train" }, "1085": { "input": "Tom believes Stephen to be irritating. [s]", "output": "stephen", "sentence": "Tom believes Stephen to be irritating.", "letter": "s", "words": [ "Stephen" ], "source": "train" }, "1086": { "input": "She cooked Matt dinner. [m]", "output": "matt", "sentence": "She cooked Matt dinner.", "letter": "m", "words": [ "Matt" ], "source": "train" }, "1087": { "input": "What this girl in the red coat will do is put a picture of Bill on your desk before tomorrow. [y]", "output": "your", "sentence": "What this girl in the red coat will do is put a picture of Bill on your desk before tomorrow.", "letter": "y", "words": [ "your" ], "source": "train" }, "1088": { "input": "Tom locked Fido in the garage. [i]", "output": "in", "sentence": "Tom locked Fido in the garage.", "letter": "i", "words": [ "in" ], "source": "train" }, "1089": { "input": "He had hardly collected the papers on his desk, had he? [t]", "output": "the", "sentence": "He had hardly collected the papers on his desk, had he?", "letter": "t", "words": [ "the" ], "source": "train" }, "1090": { "input": "Does Joe sing? [j]", "output": "joe", "sentence": "Does Joe sing?", "letter": "j", "words": [ "Joe" ], "source": "train" }, "1091": { "input": "We loaded ourselves onto the bus. [w]", "output": "we", "sentence": "We loaded ourselves onto the bus.", "letter": "w", "words": [ "We" ], "source": "train" }, "1092": { "input": "He coughed his handkerchief completely soggy. [c]", "output": "coughed completely", "sentence": "He coughed his handkerchief completely soggy.", "letter": "c", "words": [ "coughed", "completely" ], "source": "train" }, "1093": { "input": "It was last night that the policeman met several young students in the park. [m]", "output": "met", "sentence": "It was last night that the policeman met several young students in the park.", "letter": "m", "words": [ "met" ], "source": "train" }, "1094": { "input": "Jean is reluctant to leave. [t]", "output": "to", "sentence": "Jean is reluctant to leave.", "letter": "t", "words": [ "to" ], "source": "train" }, "1095": { "input": "My pastor says I ate too much cake. [c]", "output": "cake", "sentence": "My pastor says I ate too much cake.", "letter": "c", "words": [ "cake" ], "source": "train" }, "1096": { "input": "John read the book loudly. [r]", "output": "read", "sentence": "John read the book loudly.", "letter": "r", "words": [ "read" ], "source": "train" }, "1097": { "input": "John coughed. [j]", "output": "john", "sentence": "John coughed.", "letter": "j", "words": [ "John" ], "source": "train" }, "1098": { "input": "Jane imagines Bill claims John believes Mary thinks Tom is honest. [m]", "output": "mary", "sentence": "Jane imagines Bill claims John believes Mary thinks Tom is honest.", "letter": "m", "words": [ "Mary" ], "source": "train" }, "1099": { "input": "Flora cooks gourmet meals. [c]", "output": "cooks", "sentence": "Flora cooks gourmet meals.", "letter": "c", "words": [ "cooks" ], "source": "train" }, "1100": { "input": "The testing of such drugs on oneself is too risky. [d]", "output": "drugs", "sentence": "The testing of such drugs on oneself is too risky.", "letter": "d", "words": [ "drugs" ], "source": "train" }, "1101": { "input": "The more lobbyists he talks to, the more corrupt every senator seems to become. [e]", "output": "every", "sentence": "The more lobbyists he talks to, the more corrupt every senator seems to become.", "letter": "e", "words": [ "every" ], "source": "train" }, "1102": { "input": "Which granny does Aunt Hattie want me to be nice and kiss? [m]", "output": "me", "sentence": "Which granny does Aunt Hattie want me to be nice and kiss?", "letter": "m", "words": [ "me" ], "source": "train" }, "1103": { "input": "The curtain which Fred tore in rolling up was the kind gift of my maternal Aunt Priscilla. [a]", "output": "aunt", "sentence": "The curtain which Fred tore in rolling up was the kind gift of my maternal Aunt Priscilla.", "letter": "a", "words": [ "Aunt" ], "source": "train" }, "1104": { "input": "He ought to leave his luggage here. [t]", "output": "to", "sentence": "He ought to leave his luggage here.", "letter": "t", "words": [ "to" ], "source": "train" }, "1105": { "input": "I forgot to return the book that I borrowed from the teacher. [b]", "output": "book borrowed", "sentence": "I forgot to return the book that I borrowed from the teacher.", "letter": "b", "words": [ "book", "borrowed" ], "source": "train" }, "1106": { "input": "Jane Fairfax seemed upset. [j]", "output": "jane", "sentence": "Jane Fairfax seemed upset.", "letter": "j", "words": [ "Jane" ], "source": "train" }, "1107": { "input": "That was a rude remark and in very bad taste. [i]", "output": "in", "sentence": "That was a rude remark and in very bad taste.", "letter": "i", "words": [ "in" ], "source": "train" }, "1108": { "input": "Myron is making the claim that dead is better than red. [d]", "output": "dead", "sentence": "Myron is making the claim that dead is better than red.", "letter": "d", "words": [ "dead" ], "source": "train" }, "1109": { "input": "I read his every book. [r]", "output": "read", "sentence": "I read his every book.", "letter": "r", "words": [ "read" ], "source": "train" }, "1110": { "input": "Some branches broke off of the tree. [t]", "output": "the tree", "sentence": "Some branches broke off of the tree.", "letter": "t", "words": [ "the", "tree" ], "source": "train" }, "1111": { "input": "They lent me a bicycle. [m]", "output": "me", "sentence": "They lent me a bicycle.", "letter": "m", "words": [ "me" ], "source": "train" }, "1112": { "input": "Who do you think will question Seamus first? [t]", "output": "think", "sentence": "Who do you think will question Seamus first?", "letter": "t", "words": [ "think" ], "source": "train" }, "1113": { "input": "Seven more soldiers came in after ten had left. [l]", "output": "left", "sentence": "Seven more soldiers came in after ten had left.", "letter": "l", "words": [ "left" ], "source": "train" }, "1114": { "input": "The more lobbyists wine and dine him, the more every senator is susceptible to corruption. [w]", "output": "wine", "sentence": "The more lobbyists wine and dine him, the more every senator is susceptible to corruption.", "letter": "w", "words": [ "wine" ], "source": "train" }, "1115": { "input": "I will have eaten the beef waffles. [t]", "output": "the", "sentence": "I will have eaten the beef waffles.", "letter": "t", "words": [ "the" ], "source": "train" }, "1116": { "input": "They can run. [r]", "output": "run", "sentence": "They can run.", "letter": "r", "words": [ "run" ], "source": "train" }, "1117": { "input": "Her mother wants Mary to be such an eminent woman that everyone will respect her. [t]", "output": "to that", "sentence": "Her mother wants Mary to be such an eminent woman that everyone will respect her.", "letter": "t", "words": [ "to", "that" ], "source": "train" }, "1118": { "input": "The jockey rides the horse. [r]", "output": "rides", "sentence": "The jockey rides the horse.", "letter": "r", "words": [ "rides" ], "source": "train" }, "1119": { "input": "They all agreed to include those matters which everyone believed had been excluded from the Treaty. [b]", "output": "believed been", "sentence": "They all agreed to include those matters which everyone believed had been excluded from the Treaty.", "letter": "b", "words": [ "believed", "been" ], "source": "train" }, "1120": { "input": "That automobile factories abound in Michigan worries me greatly. [g]", "output": "greatly", "sentence": "That automobile factories abound in Michigan worries me greatly.", "letter": "g", "words": [ "greatly" ], "source": "train" }, "1121": { "input": "There are strangers in that garden. [a]", "output": "are", "sentence": "There are strangers in that garden.", "letter": "a", "words": [ "are" ], "source": "train" }, "1122": { "input": "A fellow student saw this felt sorry for Miss Kim and offered her his own book. [a]", "output": "a and", "sentence": "A fellow student saw this felt sorry for Miss Kim and offered her his own book.", "letter": "a", "words": [ "A", "and" ], "source": "train" }, "1123": { "input": "I gave money. [g]", "output": "gave", "sentence": "I gave money.", "letter": "g", "words": [ "gave" ], "source": "train" }, "1124": { "input": "I went to the store and bought some whiskey. [s]", "output": "store some", "sentence": "I went to the store and bought some whiskey.", "letter": "s", "words": [ "store", "some" ], "source": "train" }, "1125": { "input": "There is likely to be no student absent. [i]", "output": "is", "sentence": "There is likely to be no student absent.", "letter": "i", "words": [ "is" ], "source": "train" }, "1126": { "input": "Susan found every book she had been looking for at Borders. [b]", "output": "book been borders", "sentence": "Susan found every book she had been looking for at Borders.", "letter": "b", "words": [ "book", "been", "Borders" ], "source": "train" }, "1127": { "input": "John refused the offer proudly. [j]", "output": "john", "sentence": "John refused the offer proudly.", "letter": "j", "words": [ "John" ], "source": "train" }, "1128": { "input": "Bill reading Shakespeare and Maureen singing Schubert satisfies me [a]", "output": "and", "sentence": "Bill reading Shakespeare and Maureen singing Schubert satisfies me", "letter": "a", "words": [ "and" ], "source": "train" }, "1129": { "input": "His expectations are lower, the higher the stakes. [s]", "output": "stakes", "sentence": "His expectations are lower, the higher the stakes.", "letter": "s", "words": [ "stakes" ], "source": "train" }, "1130": { "input": "Each of these stones has to be cut and polished. [h]", "output": "has", "sentence": "Each of these stones has to be cut and polished.", "letter": "h", "words": [ "has" ], "source": "train" }, "1131": { "input": "All through the mountains raged a fire. [a]", "output": "all a", "sentence": "All through the mountains raged a fire.", "letter": "a", "words": [ "All", "a" ], "source": "train" }, "1132": { "input": "Everybody who has ever, worked in any office which contained any typewriter which had ever been used to type any letters which had to be signed by any administrator who ever worked in any department like mine will know what I mean. [s]", "output": "signed", "sentence": "Everybody who has ever, worked in any office which contained any typewriter which had ever been used to type any letters which had to be signed by any administrator who ever worked in any department like mine will know what I mean.", "letter": "s", "words": [ "signed" ], "source": "train" }, "1133": { "input": "I gave Mary a book. [i]", "output": "i", "sentence": "I gave Mary a book.", "letter": "i", "words": [ "I" ], "source": "train" }, "1134": { "input": "Bill left when it is certain that no one else was awake. 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[u]", "output": "us", "sentence": "Everyone of us be given a prize.", "letter": "u", "words": [ "us" ], "source": "train" }, "1140": { "input": "The hardest that it is believed that it has ever snowed here was last January th. [l]", "output": "last", "sentence": "The hardest that it is believed that it has ever snowed here was last January th.", "letter": "l", "words": [ "last" ], "source": "train" }, "1141": { "input": "Reggie did not chase the ball. [r]", "output": "reggie", "sentence": "Reggie did not chase the ball.", "letter": "r", "words": [ "Reggie" ], "source": "train" }, "1142": { "input": "We believed John to try to leave the country. [w]", "output": "we", "sentence": "We believed John to try to leave the country.", "letter": "w", "words": [ "We" ], "source": "train" }, "1143": { "input": "The cat trotted in. [c]", "output": "cat", "sentence": "The cat trotted in.", "letter": "c", "words": [ "cat" ], "source": "train" }, "1144": { "input": "Every student who attended the party had a good time. [p]", "output": "party", "sentence": "Every student who attended the party had a good time.", "letter": "p", "words": [ "party" ], "source": "train" }, "1145": { "input": "The exhibition really impressed the critics. [c]", "output": "critics", "sentence": "The exhibition really impressed the critics.", "letter": "c", "words": [ "critics" ], "source": "train" }, "1146": { "input": "One plan which I got wind of was calculated to keep us in suspense. [s]", "output": "suspense", "sentence": "One plan which I got wind of was calculated to keep us in suspense.", "letter": "s", "words": [ "suspense" ], "source": "train" }, "1147": { "input": "He baked Tom the bread last night. [n]", "output": "night", "sentence": "He baked Tom the bread last night.", "letter": "n", "words": [ "night" ], "source": "train" }, "1148": { "input": "The knife which he threw into the sea had a gold handle. [k]", "output": "knife", "sentence": "The knife which he threw into the sea had a gold handle.", "letter": "k", "words": [ "knife" ], "source": "train" }, "1149": { "input": "Almost any pilot could be flying this plane. [t]", "output": "this", "sentence": "Almost any pilot could be flying this plane.", "letter": "t", "words": [ "this" ], "source": "train" }, "1150": { "input": "That he was sick, we talked about for days. [t]", "output": "that talked", "sentence": "That he was sick, we talked about for days.", "letter": "t", "words": [ "That", "talked" ], "source": "train" }, "1151": { "input": "Fanny stopped talking because in came Aunt Norris. [s]", "output": "stopped", "sentence": "Fanny stopped talking because in came Aunt Norris.", "letter": "s", "words": [ "stopped" ], "source": "train" }, "1152": { "input": "I spared him the trouble. [s]", "output": "spared", "sentence": "I spared him the trouble.", "letter": "s", "words": [ "spared" ], "source": "train" }, "1153": { "input": "John deposited some money in the checking account on Friday and Mary did the same thing on Monday. [s]", "output": "some same", "sentence": "John deposited some money in the checking account on Friday and Mary did the same thing on Monday.", "letter": "s", "words": [ "some", "same" ], "source": "train" }, "1154": { "input": "She spruced up before the job interview. [b]", "output": "before", "sentence": "She spruced up before the job interview.", "letter": "b", "words": [ "before" ], "source": "train" }, "1155": { "input": "George sang to himself. [g]", "output": "george", "sentence": "George sang to himself.", "letter": "g", "words": [ "George" ], "source": "train" }, "1156": { "input": "Herman mixed the eggs and the cream. [e]", "output": "eggs", "sentence": "Herman mixed the eggs and the cream.", "letter": "e", "words": [ "eggs" ], "source": "train" }, "1157": { "input": "Carla was shoveling the walk. [t]", "output": "the", "sentence": "Carla was shoveling the walk.", "letter": "t", "words": [ "the" ], "source": "train" }, "1158": { "input": "I gave to the officer in charge the blackjack. which I had found in the cookie jar. [b]", "output": "blackjack", "sentence": "I gave to the officer in charge the blackjack. which I had found in the cookie jar.", "letter": "b", "words": [ "blackjack" ], "source": "train" }, "1159": { "input": "He was arrested for being drunk. [b]", "output": "being", "sentence": "He was arrested for being drunk.", "letter": "b", "words": [ "being" ], "source": "train" }, "1160": { "input": "Although Bob may not be a nut, many people have claimed it and I think so too. [c]", "output": "claimed", "sentence": "Although Bob may not be a nut, many people have claimed it and I think so too.", "letter": "c", "words": [ "claimed" ], "source": "train" }, "1161": { "input": "Any doctor will tell you that. [a]", "output": "any", "sentence": "Any doctor will tell you that.", "letter": "a", "words": [ "Any" ], "source": "train" }, "1162": { "input": "He looked the number up [u]", "output": "up", "sentence": "He looked the number up", "letter": "u", "words": [ "up" ], "source": "train" }, "1163": { "input": "He is John. [h]", "output": "he", "sentence": "He is John.", "letter": "h", "words": [ "He" ], "source": "train" }, "1164": { "input": "Nora sent the book to Peter. [b]", "output": "book", "sentence": "Nora sent the book to Peter.", "letter": "b", "words": [ "book" ], "source": "train" }, "1165": { "input": "I inquired if John likes his beer. [l]", "output": "likes", "sentence": "I inquired if John likes his beer.", "letter": "l", "words": [ "likes" ], "source": "train" }, "1166": { "input": "Jennifer baked the potatoes in the oven. [j]", "output": "jennifer", "sentence": "Jennifer baked the potatoes in the oven.", "letter": "j", "words": [ "Jennifer" ], "source": "train" }, "1167": { "input": "Belinda walked the soles off her shoes. [h]", "output": "her", "sentence": "Belinda walked the soles off her shoes.", "letter": "h", "words": [ "her" ], "source": "train" }, "1168": { "input": "Susan whispered Shut up at them. [w]", "output": "whispered", "sentence": "Susan whispered Shut up at them.", "letter": "w", "words": [ "whispered" ], "source": "train" }, "1169": { "input": "Fluffy is sick, which nobody knows. [w]", "output": "which", "sentence": "Fluffy is sick, which nobody knows.", "letter": "w", "words": [ "which" ], "source": "train" }, "1170": { "input": "John is prouder of having gone than I expected you to believe he would be of not having fallen asleep. [e]", "output": "expected", "sentence": "John is prouder of having gone than I expected you to believe he would be of not having fallen asleep.", "letter": "e", "words": [ "expected" ], "source": "train" }, "1171": { "input": "I asked for him to eat the asparagus. [e]", "output": "eat", "sentence": "I asked for him to eat the asparagus.", "letter": "e", "words": [ "eat" ], "source": "train" }, "1172": { "input": "It is likely that John will leave. [j]", "output": "john", "sentence": "It is likely that John will leave.", "letter": "j", "words": [ "John" ], "source": "train" }, "1173": { "input": "Every cat always knows the location of her favorite catnip toy. [k]", "output": "knows", "sentence": "Every cat always knows the location of her favorite catnip toy.", "letter": "k", "words": [ "knows" ], "source": "train" }, "1174": { "input": "Frank Churchill crosses the street. [s]", "output": "street", "sentence": "Frank Churchill crosses the street.", "letter": "s", "words": [ "street" ], "source": "train" }, "1175": { "input": "Never have I been spoken to so rudely! [n]", "output": "never", "sentence": "Never have I been spoken to so rudely!", "letter": "n", "words": [ "Never" ], "source": "train" }, "1176": { "input": "The electric main joins the house circuit in the basement. [h]", "output": "house", "sentence": "The electric main joins the house circuit in the basement.", "letter": "h", "words": [ "house" ], "source": "train" }, "1177": { "input": "Nora sent books to children. [c]", "output": "children", "sentence": "Nora sent books to children.", "letter": "c", "words": [ "children" ], "source": "train" }, "1178": { "input": "Some of the water from melted snow also goes into the ground for plants. [s]", "output": "some snow", "sentence": "Some of the water from melted snow also goes into the ground for plants.", "letter": "s", "words": [ "Some", "snow" ], "source": "train" }, "1179": { "input": "John made Kim a great doll. [g]", "output": "great", "sentence": "John made Kim a great doll.", "letter": "g", "words": [ "great" ], "source": "train" }, "1180": { "input": "No one could remove the blood on the wall [o]", "output": "one on", "sentence": "No one could remove the blood on the wall", "letter": "o", "words": [ "one", "on" ], "source": "train" }, "1181": { "input": "work out an analysis that is typical of this view of understood subjects. 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[s]", "output": "sad", "sentence": "The day when Jim got fired was a sad day for everyone.", "letter": "s", "words": [ "sad" ], "source": "train" }, "1189": { "input": "Who do you think Mary said John likes? [m]", "output": "mary", "sentence": "Who do you think Mary said John likes?", "letter": "m", "words": [ "Mary" ], "source": "train" }, "1190": { "input": "Tonight, what Bob cooked yesterday still tastes good. [w]", "output": "what", "sentence": "Tonight, what Bob cooked yesterday still tastes good.", "letter": "w", "words": [ "what" ], "source": "train" }, "1191": { "input": "Phillip gave the soldier the medal. [g]", "output": "gave", "sentence": "Phillip gave the soldier the medal.", "letter": "g", "words": [ "gave" ], "source": "train" }, "1192": { "input": "Jewels sparkled on the crown. [t]", "output": "the", "sentence": "Jewels sparkled on the crown.", "letter": "t", "words": [ "the" ], "source": "train" }, "1193": { "input": "I would prefer it for there to be no talking. [b]", "output": "be", "sentence": "I would prefer it for there to be no talking.", "letter": "b", "words": [ "be" ], "source": "train" }, "1194": { "input": "That he was sick, we talked about for days. [a]", "output": "about", "sentence": "That he was sick, we talked about for days.", "letter": "a", "words": [ "about" ], "source": "train" }, "1195": { "input": "Aphrodite frees animals [a]", "output": "aphrodite animals", "sentence": "Aphrodite frees animals", "letter": "a", "words": [ "Aphrodite", "animals" ], "source": "train" }, "1196": { "input": "At p.m. I saw John lecturing to everyone who was near him. [p]", "output": "p", "sentence": "At p.m. I saw John lecturing to everyone who was near him.", "letter": "p", "words": [ "p" ], "source": "train" }, "1197": { "input": "Which student were you talking about? [w]", "output": "which were", "sentence": "Which student were you talking about?", "letter": "w", "words": [ "Which", "were" ], "source": "train" }, "1198": { "input": "Susan begged Bill to let her sing in the concert. [t]", "output": "to the", "sentence": "Susan begged Bill to let her sing in the concert.", "letter": "t", "words": [ "to", "the" ], "source": "train" }, "1199": { "input": "Burn letters to Peter! [t]", "output": "to", "sentence": "Burn letters to Peter!", "letter": "t", "words": [ "to" ], "source": "train" }, "1200": { "input": "Those days Bill offered Mary anything he cooked. [b]", "output": "bill", "sentence": "Those days Bill offered Mary anything he cooked.", "letter": "b", "words": [ "Bill" ], "source": "train" }, "1201": { "input": "John liked anything that was placed before him. [w]", "output": "was", "sentence": "John liked anything that was placed before him.", "letter": "w", "words": [ "was" ], "source": "train" }, "1202": { "input": "Mary sent a book to Bill. [s]", "output": "sent", "sentence": "Mary sent a book to Bill.", "letter": "s", "words": [ "sent" ], "source": "train" }, "1203": { "input": "The jeweller printed the name on the ring. [p]", "output": "printed", "sentence": "The jeweller printed the name on the ring.", "letter": "p", "words": [ "printed" ], "source": "train" }, "1204": { "input": "The flag waved. [w]", "output": "waved", "sentence": "The flag waved.", "letter": "w", "words": [ "waved" ], "source": "train" }, "1205": { "input": "John wants to come up with as good a solution as Christine did. [d]", "output": "did", "sentence": "John wants to come up with as good a solution as Christine did.", "letter": "d", "words": [ "did" ], "source": "train" }, "1206": { "input": "John deposited some money in the bank on Friday. [f]", "output": "friday", "sentence": "John deposited some money in the bank on Friday.", "letter": "f", "words": [ "Friday" ], "source": "train" }, "1207": { "input": "None of these men wants to be president. [b]", "output": "be", "sentence": "None of these men wants to be president.", "letter": "b", "words": [ "be" ], "source": "train" }, "1208": { "input": "Paula spanked the naughty child with her right hand. [r]", "output": "right", "sentence": "Paula spanked the naughty child with her right hand.", "letter": "r", "words": [ "right" ], "source": "train" }, "1209": { "input": "We asked him not to try to call us again. [h]", "output": "him", "sentence": "We asked him not to try to call us again.", "letter": "h", "words": [ "him" ], "source": "train" }, "1210": { "input": "Jean is reluctant. [j]", "output": "jean", "sentence": "Jean is reluctant.", "letter": "j", "words": [ "Jean" ], "source": "train" }, "1211": { "input": "It was to the student that the teacher gave the best advice. [s]", "output": "student", "sentence": "It was to the student that the teacher gave the best advice.", "letter": "s", "words": [ "student" ], "source": "train" }, "1212": { "input": "The maple changed into an oak from a cedar. [t]", "output": "the", "sentence": "The maple changed into an oak from a cedar.", "letter": "t", "words": [ "The" ], "source": "train" }, "1213": { "input": "I think he will eat asparagus. [i]", "output": "i", "sentence": "I think he will eat asparagus.", "letter": "i", "words": [ "I" ], "source": "train" }, "1214": { "input": "Do you like peanut butter? [b]", "output": "butter", "sentence": "Do you like peanut butter?", "letter": "b", "words": [ "butter" ], "source": "train" }, "1215": { "input": "I ordered John drink his beer. [o]", "output": "ordered", "sentence": "I ordered John drink his beer.", "letter": "o", "words": [ "ordered" ], "source": "train" }, "1216": { "input": "No one knows how to tell from a good beer to a bad one. [g]", "output": "good", "sentence": "No one knows how to tell from a good beer to a bad one.", "letter": "g", "words": [ "good" ], "source": "train" }, "1217": { "input": "Doug removed the scratches from the tabletop. [d]", "output": "doug", "sentence": "Doug removed the scratches from the tabletop.", "letter": "d", "words": [ "Doug" ], "source": "train" }, "1218": { "input": "That you will marry any particular student is not certain. [s]", "output": "student", "sentence": "That you will marry any particular student is not certain.", "letter": "s", "words": [ "student" ], "source": "train" }, "1219": { "input": "I gave the charity. [t]", "output": "the", "sentence": "I gave the charity.", "letter": "t", "words": [ "the" ], "source": "train" }, "1220": { "input": "A fire raged over the fields. [a]", "output": "a", "sentence": "A fire raged over the fields.", "letter": "a", "words": [ "A" ], "source": "train" }, "1221": { "input": "The sinking of the ship was very devious. [w]", "output": "was", "sentence": "The sinking of the ship was very devious.", "letter": "w", "words": [ "was" ], "source": "train" }, "1222": { "input": "For John to train his horse would be desirable. [b]", "output": "be", "sentence": "For John to train his horse would be desirable.", "letter": "b", "words": [ "be" ], "source": "train" }, "1223": { "input": "He always eats deep fried muffins. [d]", "output": "deep", "sentence": "He always eats deep fried muffins.", "letter": "d", "words": [ "deep" ], "source": "train" }, "1224": { "input": "The kids in our class have arrived safely. [t]", "output": "the", "sentence": "The kids in our class have arrived safely.", "letter": "t", "words": [ "The" ], "source": "train" }, "1225": { "input": "Have the kids arrived safely? [h]", "output": "have", "sentence": "Have the kids arrived safely?", "letter": "h", "words": [ "Have" ], "source": "train" }, "1226": { "input": "It tends to be warm in September. [i]", "output": "it in", "sentence": "It tends to be warm in September.", "letter": "i", "words": [ "It", "in" ], "source": "train" }, "1227": { "input": "Ellen talked with Helen about the problem. [t]", "output": "talked the", "sentence": "Ellen talked with Helen about the problem.", "letter": "t", "words": [ "talked", "the" ], "source": "train" }, "1228": { "input": "The jury seemed ready to leave. [s]", "output": "seemed", "sentence": "The jury seemed ready to leave.", "letter": "s", "words": [ "seemed" ], "source": "train" }, "1229": { "input": "Nathan received the cloak from Benjamin [n]", "output": "nathan", "sentence": "Nathan received the cloak from Benjamin", "letter": "n", "words": [ "Nathan" ], "source": "train" }, "1230": { "input": "Do not use these words in the beginning of a sentence. [d]", "output": "do", "sentence": "Do not use these words in the beginning of a sentence.", "letter": "d", "words": [ "Do" ], "source": "train" }, "1231": { "input": "There is any book you could imagine in this library. [c]", "output": "could", "sentence": "There is any book you could imagine in this library.", "letter": "c", "words": [ "could" ], "source": "train" }, "1232": { "input": "Smith inscribed the ring with his name. [s]", "output": "smith", "sentence": "Smith inscribed the ring with his name.", "letter": "s", "words": [ "Smith" ], "source": "train" }, "1233": { "input": "Lydia pocketed the change. [t]", "output": "the", "sentence": "Lydia pocketed the change.", "letter": "t", "words": [ "the" ], "source": "train" }, "1234": { "input": "Sir Walter Elliott imagined the scene. [s]", "output": "sir scene", "sentence": "Sir Walter Elliott imagined the scene.", "letter": "s", "words": [ "Sir", "scene" ], "source": "train" }, "1235": { "input": "Michael accidentally broke the glass. [m]", "output": "michael", "sentence": "Michael accidentally broke the glass.", "letter": "m", "words": [ "Michael" ], "source": "train" }, "1236": { "input": "This hat it is certain that he was wearing. [c]", "output": "certain", "sentence": "This hat it is certain that he was wearing.", "letter": "c", "words": [ "certain" ], "source": "train" }, "1237": { "input": "Sandy will read your reports, but Harold will not. [s]", "output": "sandy", "sentence": "Sandy will read your reports, but Harold will not.", "letter": "s", "words": [ "Sandy" ], "source": "train" }, "1238": { "input": "Who do you think Ciaran will question first? [c]", "output": "ciaran", "sentence": "Who do you think Ciaran will question first?", "letter": "c", "words": [ "Ciaran" ], "source": "train" }, "1239": { "input": "Whether they say it or not, most teachers expect their students to study hard. [e]", "output": "expect", "sentence": "Whether they say it or not, most teachers expect their students to study hard.", "letter": "e", "words": [ "expect" ], "source": "train" }, "1240": { "input": "I threw the ball to the other side of the field. [b]", "output": "ball", "sentence": "I threw the ball to the other side of the field.", "letter": "b", "words": [ "ball" ], "source": "train" }, "1241": { "input": "John is eager to please. [t]", "output": "to", "sentence": "John is eager to please.", "letter": "t", "words": [ "to" ], "source": "train" }, "1242": { "input": "I wonder who and whose friends he handed over to the FBI. [w]", "output": "wonder who whose", "sentence": "I wonder who and whose friends he handed over to the FBI.", "letter": "w", "words": [ "wonder", "who", "whose" ], "source": "train" }, "1243": { "input": "We decided to paint the bathroom a lurid lime green colour. [p]", "output": "paint", "sentence": "We decided to paint the bathroom a lurid lime green colour.", "letter": "p", "words": [ "paint" ], "source": "train" }, "1244": { "input": "The cops spoke to the janitor about it yesterday, that robbery. [i]", "output": "it", "sentence": "The cops spoke to the janitor about it yesterday, that robbery.", "letter": "i", "words": [ "it" ], "source": "train" }, "1245": { "input": "The kettle bubbled water. [t]", "output": "the", "sentence": "The kettle bubbled water.", "letter": "t", "words": [ "The" ], "source": "train" }, "1246": { "input": "There lived a man with his grandson. [a]", "output": "a", "sentence": "There lived a man with his grandson.", "letter": "a", "words": [ "a" ], "source": "train" }, "1247": { "input": "Dave and Alina left. [l]", "output": "left", "sentence": "Dave and Alina left.", "letter": "l", "words": [ "left" ], "source": "train" }, "1248": { "input": "Sandy will read your reports, but Harold will not. [n]", "output": "not", "sentence": "Sandy will read your reports, but Harold will not.", "letter": "n", "words": [ "not" ], "source": "train" }, "1249": { "input": "Juliet says that Romeo lies to his parents a lot. [l]", "output": "lies lot", "sentence": "Juliet says that Romeo lies to his parents a lot.", "letter": "l", "words": [ "lies", "lot" ], "source": "train" }, "1250": { "input": "John left his wife. [l]", "output": "left", "sentence": "John left his wife.", "letter": "l", "words": [ "left" ], "source": "train" }, "1251": { "input": "Humans love to eat those pigs. [t]", "output": "to those", "sentence": "Humans love to eat those pigs.", "letter": "t", "words": [ "to", "those" ], "source": "train" }, "1252": { "input": "They know if Mary won. [m]", "output": "mary", "sentence": "They know if Mary won.", "letter": "m", "words": [ "Mary" ], "source": "train" }, "1253": { "input": "Genie intoned that she was tired [t]", "output": "that tired", "sentence": "Genie intoned that she was tired", "letter": "t", "words": [ "that", "tired" ], "source": "train" }, "1254": { "input": "How long did this fit of generosity last and who gave what to whom? [w]", "output": "who what whom", "sentence": "How long did this fit of generosity last and who gave what to whom?", "letter": "w", "words": [ "who", "what", "whom" ], "source": "train" }, "1255": { "input": "Each room sleeps five people. [s]", "output": "sleeps", "sentence": "Each room sleeps five people.", "letter": "s", "words": [ "sleeps" ], "source": "train" }, "1256": { "input": "John deprived his sons of game cards. [h]", "output": "his", "sentence": "John deprived his sons of game cards.", "letter": "h", "words": [ "his" ], "source": "train" }, "1257": { "input": "The barber shaved my chin. [b]", "output": "barber", "sentence": "The barber shaved my chin.", "letter": "b", "words": [ "barber" ], "source": "train" }, "1258": { "input": "That John passed surprised her. [p]", "output": "passed", "sentence": "That John passed surprised her.", "letter": "p", "words": [ "passed" ], "source": "train" }, "1259": { "input": "If John wants to succeed in corporate life, he has to know the rules of the game. [c]", "output": "corporate", "sentence": "If John wants to succeed in corporate life, he has to know the rules of the game.", "letter": "c", "words": [ "corporate" ], "source": "train" }, "1260": { "input": "Stacy came directly from linguistics class. [s]", "output": "stacy", "sentence": "Stacy came directly from linguistics class.", "letter": "s", "words": [ "Stacy" ], "source": "train" }, "1261": { "input": "Cora coiled the rope around the post. [r]", "output": "rope", "sentence": "Cora coiled the rope around the post.", "letter": "r", "words": [ "rope" ], "source": "train" }, "1262": { "input": "Bill sold Tom a car. [t]", "output": "tom", "sentence": "Bill sold Tom a car.", "letter": "t", "words": [ "Tom" ], "source": "train" }, "1263": { "input": "He waltzed her across the floor. [a]", "output": "across", "sentence": "He waltzed her across the floor.", "letter": "a", "words": [ "across" ], "source": "train" }, "1264": { "input": "I have six too many marbles. [s]", "output": "six", "sentence": "I have six too many marbles.", "letter": "s", "words": [ "six" ], "source": "train" }, "1265": { "input": "The children are seen in the yard. [i]", "output": "in", "sentence": "The children are seen in the yard.", "letter": "i", "words": [ "in" ], "source": "train" }, "1266": { "input": "Aphrodite may quickly free the animals. [f]", "output": "free", "sentence": "Aphrodite may quickly free the animals.", "letter": "f", "words": [ "free" ], "source": "train" }, "1267": { "input": "There exists a solution to this problem. [s]", "output": "solution", "sentence": "There exists a solution to this problem.", "letter": "s", "words": [ "solution" ], "source": "train" }, "1268": { "input": "After the executioner left, Poseidon wept. [t]", "output": "the", "sentence": "After the executioner left, Poseidon wept.", "letter": "t", "words": [ "the" ], "source": "train" }, "1269": { "input": "Any woman who heard the news contributed to the fund. [n]", "output": "news", "sentence": "Any woman who heard the news contributed to the fund.", "letter": "n", "words": [ "news" ], "source": "train" }, "1270": { "input": "Bill gave me . [m]", "output": "me", "sentence": "Bill gave me .", "letter": "m", "words": [ "me" ], "source": "train" }, "1271": { "input": "The prisoner must have been being interrogated when the supervisor walked into the room and saw what was going on and put a stop to it. [g]", "output": "going", "sentence": "The prisoner must have been being interrogated when the supervisor walked into the room and saw what was going on and put a stop to it.", "letter": "g", "words": [ "going" ], "source": "train" }, "1272": { "input": "Pat was neither recommended for promotion nor under any illusions about what that meant. [m]", "output": "meant", "sentence": "Pat was neither recommended for promotion nor under any illusions about what that meant.", "letter": "m", "words": [ "meant" ], "source": "train" }, "1273": { "input": "Which pictures of Bill did she put on your desk. [d]", "output": "did desk", "sentence": "Which pictures of Bill did she put on your desk.", "letter": "d", "words": [ "did", "desk" ], "source": "train" }, "1274": { "input": "Bill left when it is certain that no one else was awake. [c]", "output": "certain", "sentence": "Bill left when it is certain that no one else was awake.", "letter": "c", "words": [ "certain" ], "source": "train" }, "1275": { "input": "Ayala went to the ball and was chatted to by Jonathan Stubbs. [j]", "output": "jonathan", "sentence": "Ayala went to the ball and was chatted to by Jonathan Stubbs.", "letter": "j", "words": [ "Jonathan" ], "source": "train" }, "1276": { "input": "Nathan received the cloak from Benjamin [c]", "output": "cloak", "sentence": "Nathan received the cloak from Benjamin", "letter": "c", "words": [ "cloak" ], "source": "train" }, "1277": { "input": "Her mother wants Mary to be such an eminent woman that everyone will respect her. [m]", "output": "mother mary", "sentence": "Her mother wants Mary to be such an eminent woman that everyone will respect her.", "letter": "m", "words": [ "mother", "Mary" ], "source": "train" }, "1278": { "input": "It is rumored that he left town. [t]", "output": "that town", "sentence": "It is rumored that he left town.", "letter": "t", "words": [ "that", "town" ], "source": "train" }, "1279": { "input": "Who knew Mickey would overthrow home plate by that much? [t]", "output": "that", "sentence": "Who knew Mickey would overthrow home plate by that much?", "letter": "t", "words": [ "that" ], "source": "train" }, "1280": { "input": "Tom seems eager for her brother to catch a cold. [t]", "output": "tom to", "sentence": "Tom seems eager for her brother to catch a cold.", "letter": "t", "words": [ "Tom", "to" ], "source": "train" }, "1281": { "input": "Kim was dancing, and Sandy was, too. [s]", "output": "sandy", "sentence": "Kim was dancing, and Sandy was, too.", "letter": "s", "words": [ "Sandy" ], "source": "train" }, "1282": { "input": "The swindler cheated Pat of her fortune. [o]", "output": "of", "sentence": "The swindler cheated Pat of her fortune.", "letter": "o", "words": [ "of" ], "source": "train" }, "1283": { "input": "That our perspectives had changed over the years and the issues we had worked on as students were the topics of discussion. 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[s]", "output": "several she", "sentence": "I know several people who she kissed.", "letter": "s", "words": [ "several", "she" ], "source": "train" }, "1297": { "input": "Teresa bottle fed soy milk to the baby. [t]", "output": "teresa to the", "sentence": "Teresa bottle fed soy milk to the baby.", "letter": "t", "words": [ "Teresa", "to", "the" ], "source": "train" }, "1298": { "input": "She goes and buys some whiskey. [s]", "output": "she some", "sentence": "She goes and buys some whiskey.", "letter": "s", "words": [ "She", "some" ], "source": "train" }, "1299": { "input": "Lopez says that he has done more than simply give a fresh coat of paint to the site. [m]", "output": "more", "sentence": "Lopez says that he has done more than simply give a fresh coat of paint to the site.", "letter": "m", "words": [ "more" ], "source": "train" }, "1300": { "input": "In the summer we always go to France. [s]", "output": "summer", "sentence": "In the summer we always go to France.", "letter": "s", "words": [ "summer" ], "source": "train" }, "1301": { "input": "Harry will be in the Marines next year and Herman was drafted last night. [a]", "output": "and", "sentence": "Harry will be in the Marines next year and Herman was drafted last night.", "letter": "a", "words": [ "and" ], "source": "train" }, "1302": { "input": "If John wants to succeed in corporate life, he has to know the rules of the game. [k]", "output": "know", "sentence": "If John wants to succeed in corporate life, he has to know the rules of the game.", "letter": "k", "words": [ "know" ], "source": "train" }, "1303": { "input": "The soup had been being eaten when it got spilled. [w]", "output": "when", "sentence": "The soup had been being eaten when it got spilled.", "letter": "w", "words": [ "when" ], "source": "train" }, "1304": { "input": "The big man from NY has often said that he gave peanuts to elephants. [m]", "output": "man", "sentence": "The big man from NY has often said that he gave peanuts to elephants.", "letter": "m", "words": [ "man" ], "source": "train" }, "1305": { "input": "I succeeded in convincing, even though John had failed to persuade, Mary not to leave. [n]", "output": "not", "sentence": "I succeeded in convincing, even though John had failed to persuade, Mary not to leave.", "letter": "n", "words": [ "not" ], "source": "train" }, "1306": { "input": "It bothers me for her to wear that old fedora. [i]", "output": "it", "sentence": "It bothers me for her to wear that old fedora.", "letter": "i", "words": [ "It" ], "source": "train" }, "1307": { "input": "That he ever went there alone is odd. 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[y]", "output": "yesterday", "sentence": "They wondered what she did yesterday.", "letter": "y", "words": [ "yesterday" ], "source": "train" }, "1312": { "input": "The boys should all could go [t]", "output": "the", "sentence": "The boys should all could go", "letter": "t", "words": [ "The" ], "source": "train" }, "1313": { "input": "I hunted game in the woods. [h]", "output": "hunted", "sentence": "I hunted game in the woods.", "letter": "h", "words": [ "hunted" ], "source": "train" }, "1314": { "input": "Sonatas are easy to play on this violin. [a]", "output": "are", "sentence": "Sonatas are easy to play on this violin.", "letter": "a", "words": [ "are" ], "source": "train" }, "1315": { "input": "The big man from NY has often said that he gave peanuts to elephants. 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[a]", "output": "after", "sentence": "Tomatoes were introduced in Europe after .", "letter": "a", "words": [ "after" ], "source": "train" }, "1328": { "input": "You put which picture of Bill on his desk? [y]", "output": "you", "sentence": "You put which picture of Bill on his desk?", "letter": "y", "words": [ "You" ], "source": "train" }, "1329": { "input": "Harry believes that Sally is innocent, although no one else believes it. [e]", "output": "else", "sentence": "Harry believes that Sally is innocent, although no one else believes it.", "letter": "e", "words": [ "else" ], "source": "train" }, "1330": { "input": "Michael accidentally broke the glass. [t]", "output": "the", "sentence": "Michael accidentally broke the glass.", "letter": "t", "words": [ "the" ], "source": "train" }, "1331": { "input": "The ball lies in the box. [b]", "output": "ball box", "sentence": "The ball lies in the box.", "letter": "b", "words": [ "ball", "box" ], "source": "train" }, "1332": { "input": "He figured the answer out. [h]", "output": "he", "sentence": "He figured the answer out.", "letter": "h", "words": [ "He" ], "source": "train" }, "1333": { "input": "A boy did not laugh. [b]", "output": "boy", "sentence": "A boy did not laugh.", "letter": "b", "words": [ "boy" ], "source": "train" }, "1334": { "input": "She did away with her father. [s]", "output": "she", "sentence": "She did away with her father.", "letter": "s", "words": [ "She" ], "source": "train" }, "1335": { "input": "The luscious chick who Billy went to the movies with will wed me ere the morn. [l]", "output": "luscious", "sentence": "The luscious chick who Billy went to the movies with will wed me ere the morn.", "letter": "l", "words": [ "luscious" ], "source": "train" }, "1336": { "input": "Sam made progress. [s]", "output": "sam", "sentence": "Sam made progress.", "letter": "s", "words": [ "Sam" ], "source": "train" }, "1337": { "input": "The son took care of his parents. [t]", "output": "the took", "sentence": "The son took care of his parents.", "letter": "t", "words": [ "The", "took" ], "source": "train" }, "1338": { "input": "They would inform Mary of any success they have made. [i]", "output": "inform", "sentence": "They would inform Mary of any success they have made.", "letter": "i", "words": [ "inform" ], "source": "train" }, "1339": { "input": "The very old and extremely wise owl. [w]", "output": "wise", "sentence": "The very old and extremely wise owl.", "letter": "w", "words": [ "wise" ], "source": "train" }, "1340": { "input": "Bill seems to himself to be handsome. [h]", "output": "himself handsome", "sentence": "Bill seems to himself to be handsome.", "letter": "h", "words": [ "himself", "handsome" ], "source": "train" }, "1341": { "input": "We took the car to the town [w]", "output": "we", "sentence": "We took the car to the town", "letter": "w", "words": [ "We" ], "source": "train" }, "1342": { "input": "I am angrier today that I was yesterday. [t]", "output": "today that", "sentence": "I am angrier today that I was yesterday.", "letter": "t", "words": [ "today", "that" ], "source": "train" }, "1343": { "input": "The more articles he reads, the fewer people he thinks under the current circumstances will go into linguistics. [a]", "output": "articles", "sentence": "The more articles he reads, the fewer people he thinks under the current circumstances will go into linguistics.", "letter": "a", "words": [ "articles" ], "source": "train" }, "1344": { "input": "Mary managed to go abroad. 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[i]", "output": "i", "sentence": "I pushed against the table.", "letter": "i", "words": [ "I" ], "source": "train" }, "1418": { "input": "John gave Mary, and Joan presented to Fred, books which looked. [m]", "output": "mary", "sentence": "John gave Mary, and Joan presented to Fred, books which looked.", "letter": "m", "words": [ "Mary" ], "source": "train" }, "1419": { "input": "Jean is likely to leave. [i]", "output": "is", "sentence": "Jean is likely to leave.", "letter": "i", "words": [ "is" ], "source": "train" }, "1420": { "input": "Any lawyer could tell you that. [c]", "output": "could", "sentence": "Any lawyer could tell you that.", "letter": "c", "words": [ "could" ], "source": "train" }, "1421": { "input": "Mary has more enemies than Bill has friends. [e]", "output": "enemies", "sentence": "Mary has more enemies than Bill has friends.", "letter": "e", "words": [ "enemies" ], "source": "train" }, "1422": { "input": "I have six more of them. 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[u]", "output": "up", "sentence": "The sponge soaked up the water.", "letter": "u", "words": [ "up" ], "source": "train" }, "1436": { "input": "Day by day the facts are getting murkier. [b]", "output": "by", "sentence": "Day by day the facts are getting murkier.", "letter": "b", "words": [ "by" ], "source": "train" }, "1437": { "input": "Who saw the man? [s]", "output": "saw", "sentence": "Who saw the man?", "letter": "s", "words": [ "saw" ], "source": "train" }, "1438": { "input": "You should always lock your door, no matter how fancy the hotel might be. [t]", "output": "the", "sentence": "You should always lock your door, no matter how fancy the hotel might be.", "letter": "t", "words": [ "the" ], "source": "train" }, "1439": { "input": "Jeff must not have eaten the deep fried muffin. [f]", "output": "fried", "sentence": "Jeff must not have eaten the deep fried muffin.", "letter": "f", "words": [ "fried" ], "source": "train" }, "1440": { "input": "Given my high opinion on his moral character, I was surprised that he stole the watch. [w]", "output": "was watch", "sentence": "Given my high opinion on his moral character, I was surprised that he stole the watch.", "letter": "w", "words": [ "was", "watch" ], "source": "train" }, "1441": { "input": "Pick any of these flowers. [f]", "output": "flowers", "sentence": "Pick any of these flowers.", "letter": "f", "words": [ "flowers" ], "source": "train" }, "1442": { "input": "This knife cut the bread. [k]", "output": "knife", "sentence": "This knife cut the bread.", "letter": "k", "words": [ "knife" ], "source": "train" }, "1443": { "input": "For you to do that would be a mistake. [f]", "output": "for", "sentence": "For you to do that would be a mistake.", "letter": "f", "words": [ "For" ], "source": "train" }, "1444": { "input": "I did not have a red cent. [d]", "output": "did", "sentence": "I did not have a red cent.", "letter": "d", "words": [ "did" ], "source": "train" }, "1445": { "input": "John heard their criticism of themselves. [c]", "output": "criticism", "sentence": "John heard their criticism of themselves.", "letter": "c", "words": [ "criticism" ], "source": "train" }, "1446": { "input": "That Goldstein appointed Heydrich and the implications thereof frightened many observers. [i]", "output": "implications", "sentence": "That Goldstein appointed Heydrich and the implications thereof frightened many observers.", "letter": "i", "words": [ "implications" ], "source": "train" }, "1447": { "input": "Phineas knows a girl who is jealous of Maxime. [o]", "output": "of", "sentence": "Phineas knows a girl who is jealous of Maxime.", "letter": "o", "words": [ "of" ], "source": "train" }, "1448": { "input": "John deposited some money in the checking account and Mary did the same thing. [a]", "output": "account and", "sentence": "John deposited some money in the checking account and Mary did the same thing.", "letter": "a", "words": [ "account", "and" ], "source": "train" }, "1449": { "input": "I mixed the eggs and cream. [e]", "output": "eggs", "sentence": "I mixed the eggs and cream.", "letter": "e", "words": [ "eggs" ], "source": "train" }, "1450": { "input": "They denied the claim that they should report only to us. [c]", "output": "claim", "sentence": "They denied the claim that they should report only to us.", "letter": "c", "words": [ "claim" ], "source": "train" }, "1451": { "input": "I have six marbles too many. [m]", "output": "marbles many", "sentence": "I have six marbles too many.", "letter": "m", "words": [ "marbles", "many" ], "source": "train" }, "1452": { "input": "Can Mary win the race and will Sue win the race too? [a]", "output": "and", "sentence": "Can Mary win the race and will Sue win the race too?", "letter": "a", "words": [ "and" ], "source": "train" }, "1453": { "input": "Melissa searched the papers for a clue. [p]", "output": "papers", "sentence": "Melissa searched the papers for a clue.", "letter": "p", "words": [ "papers" ], "source": "train" }, "1454": { "input": "Jessica sprayed paint under the table. [t]", "output": "the table", "sentence": "Jessica sprayed paint under the table.", "letter": "t", "words": [ "the", "table" ], "source": "train" }, "1455": { "input": "Ellen complained about the situation to Helen. [e]", "output": "ellen", "sentence": "Ellen complained about the situation to Helen.", "letter": "e", "words": [ "Ellen" ], "source": "train" }, "1456": { "input": "Chris liked which pictures of himself? [w]", "output": "which", "sentence": "Chris liked which pictures of himself?", "letter": "w", "words": [ "which" ], "source": "train" }, "1457": { "input": "I handed the ball to Reg. [t]", "output": "the to", "sentence": "I handed the ball to Reg.", "letter": "t", "words": [ "the", "to" ], "source": "train" }, "1458": { "input": "The captain sank the boat with a torpedo. [b]", "output": "boat", "sentence": "The captain sank the boat with a torpedo.", "letter": "b", "words": [ "boat" ], "source": "train" }, "1459": { "input": "John hit the wall with the stone. [h]", "output": "hit", "sentence": "John hit the wall with the stone.", "letter": "h", "words": [ "hit" ], "source": "train" }, "1460": { "input": "Mary left the room angry. [a]", "output": "angry", "sentence": "Mary left the room angry.", "letter": "a", "words": [ "angry" ], "source": "train" }, "1461": { "input": "That was a rude remark and in very bad taste. [t]", "output": "that taste", "sentence": "That was a rude remark and in very bad taste.", "letter": "t", "words": [ "That", "taste" ], "source": "train" }, "1462": { "input": "It is raining in San Francisco. [i]", "output": "it is in", "sentence": "It is raining in San Francisco.", "letter": "i", "words": [ "It", "is", "in" ], "source": "train" }, "1463": { "input": "Dana is longing for a sunny day. [s]", "output": "sunny", "sentence": "Dana is longing for a sunny day.", "letter": "s", "words": [ "sunny" ], "source": "train" }, "1464": { "input": "The paper provides many clues. [p]", "output": "paper provides", "sentence": "The paper provides many clues.", "letter": "p", "words": [ "paper", "provides" ], "source": "train" }, "1465": { "input": "Any female tiger has orange fur, marked with black stripes. [w]", "output": "with", "sentence": "Any female tiger has orange fur, marked with black stripes.", "letter": "w", "words": [ "with" ], "source": "train" }, "1466": { "input": "Julie felt he was there [t]", "output": "there", "sentence": "Julie felt he was there", "letter": "t", "words": [ "there" ], "source": "train" }, "1467": { "input": "I think that learning English is not all that easy. [n]", "output": "not", "sentence": "I think that learning English is not all that easy.", "letter": "n", "words": [ "not" ], "source": "train" }, "1468": { "input": "Fifty pounds seem like a lot of weight to lose in one year. 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[i]", "output": "it", "sentence": "It would be difficult to please John.", "letter": "i", "words": [ "It" ], "source": "train" }, "1473": { "input": "Perhaps Iphigenia will have murdered Oedipus by tomorrow. [t]", "output": "tomorrow", "sentence": "Perhaps Iphigenia will have murdered Oedipus by tomorrow.", "letter": "t", "words": [ "tomorrow" ], "source": "train" }, "1474": { "input": "He rowed Penny across the lake. [h]", "output": "he", "sentence": "He rowed Penny across the lake.", "letter": "h", "words": [ "He" ], "source": "train" }, "1475": { "input": "I am neither an authority on this subject nor trying to portray myself as one. 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[i]", "output": "in", "sentence": "The world saw the beginning of a new era in .", "letter": "i", "words": [ "in" ], "source": "train" }, "1509": { "input": "We believed him to be omnipotent [o]", "output": "omnipotent", "sentence": "We believed him to be omnipotent", "letter": "o", "words": [ "omnipotent" ], "source": "train" }, "1510": { "input": "Teenagers drive rather quickly. [d]", "output": "drive", "sentence": "Teenagers drive rather quickly.", "letter": "d", "words": [ "drive" ], "source": "train" }, "1511": { "input": "Mary wondered which picture of himself Bill saw? [p]", "output": "picture", "sentence": "Mary wondered which picture of himself Bill saw?", "letter": "p", "words": [ "picture" ], "source": "train" }, "1512": { "input": "I whipped the eggs into a froth. [i]", "output": "i into", "sentence": "I whipped the eggs into a froth.", "letter": "i", "words": [ "I", "into" ], "source": "train" }, "1513": { "input": "Rory eats. [e]", "output": "eats", "sentence": "Rory eats.", "letter": "e", "words": [ "eats" ], "source": "train" }, "1514": { "input": "The ship was sunk to collect the insurance. [s]", "output": "ship sunk", "sentence": "The ship was sunk to collect the insurance.", "letter": "s", "words": [ "ship", "sunk" ], "source": "train" }, "1515": { "input": "Nora brought the book to Pamela. [b]", "output": "brought book", "sentence": "Nora brought the book to Pamela.", "letter": "b", "words": [ "brought", "book" ], "source": "train" }, "1516": { "input": "The tiger bled to death. [t]", "output": "the tiger to", "sentence": "The tiger bled to death.", "letter": "t", "words": [ "The", "tiger", "to" ], "source": "train" }, "1517": { "input": "Alex read the newspaper in an hour. [n]", "output": "newspaper", "sentence": "Alex read the newspaper in an hour.", "letter": "n", "words": [ "newspaper" ], "source": "train" }, "1518": { "input": "John wants him to leave. 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[j]", "output": "jean", "sentence": "Jean is reluctant to leave.", "letter": "j", "words": [ "Jean" ], "source": "train" }, "1527": { "input": "To my friends Mike talked about politics yesterday. [y]", "output": "yesterday", "sentence": "To my friends Mike talked about politics yesterday.", "letter": "y", "words": [ "yesterday" ], "source": "train" }, "1528": { "input": "Jane Fairfax received a piano from Frank. [f]", "output": "fairfax from frank", "sentence": "Jane Fairfax received a piano from Frank.", "letter": "f", "words": [ "Fairfax", "from", "Frank" ], "source": "train" }, "1529": { "input": "I showed few boys any of the books. [i]", "output": "i", "sentence": "I showed few boys any of the books.", "letter": "i", "words": [ "I" ], "source": "train" }, "1530": { "input": "He washed us. [u]", "output": "us", "sentence": "He washed us.", "letter": "u", "words": [ "us" ], "source": "train" }, "1531": { "input": "Everyone attended some seminar. [e]", "output": "everyone", "sentence": "Everyone attended some seminar.", "letter": "e", "words": [ "Everyone" ], "source": "train" }, "1532": { "input": "Many vampires have become vegetarian. [v]", "output": "vampires vegetarian", "sentence": "Many vampires have become vegetarian.", "letter": "v", "words": [ "vampires", "vegetarian" ], "source": "train" }, "1533": { "input": "Mary believed John to have loved her. [j]", "output": "john", "sentence": "Mary believed John to have loved her.", "letter": "j", "words": [ "John" ], "source": "train" }, "1534": { "input": "This information could have been released by Gorbachev, but he chose not to. [b]", "output": "been by but", "sentence": "This information could have been released by Gorbachev, but he chose not to.", "letter": "b", "words": [ "been", "by", "but" ], "source": "train" }, "1535": { "input": "is taller than that man. [t]", "output": "taller than that", "sentence": "is taller than that man.", "letter": "t", "words": [ "taller", "than", "that" ], "source": "train" }, "1536": { "input": "Gilgamesh might not have been reading the cuneiform tablets. [b]", "output": "been", "sentence": "Gilgamesh might not have been reading the cuneiform tablets.", "letter": "b", "words": [ "been" ], "source": "train" }, "1537": { "input": "The travelers have returned from their vacation. [r]", "output": "returned", "sentence": "The travelers have returned from their vacation.", "letter": "r", "words": [ "returned" ], "source": "train" }, "1538": { "input": "I could have been flying helicopters by now. [b]", "output": "been by", "sentence": "I could have been flying helicopters by now.", "letter": "b", "words": [ "been", "by" ], "source": "train" }, "1539": { "input": "Every senator becomes more corrupt, the more lobbyists he talks to. [b]", "output": "becomes", "sentence": "Every senator becomes more corrupt, the more lobbyists he talks to.", "letter": "b", "words": [ "becomes" ], "source": "train" }, "1540": { "input": "I sent the package to the Antarctic. [s]", "output": "sent", "sentence": "I sent the package to the Antarctic.", "letter": "s", "words": [ "sent" ], "source": "train" }, "1541": { "input": "To train his horse would be desirable. [t]", "output": "to train", "sentence": "To train his horse would be desirable.", "letter": "t", "words": [ "To", "train" ], "source": "train" }, "1542": { "input": "What did you buy at the supermarket? [b]", "output": "buy", "sentence": "What did you buy at the supermarket?", "letter": "b", "words": [ "buy" ], "source": "train" }, "1543": { "input": "The foxes seem compatible with the chickens. [s]", "output": "seem", "sentence": "The foxes seem compatible with the chickens.", "letter": "s", "words": [ "seem" ], "source": "train" }, "1544": { "input": "Either Dana or Lee is going to lead the parade. [o]", "output": "or", "sentence": "Either Dana or Lee is going to lead the parade.", "letter": "o", "words": [ "or" ], "source": "train" }, "1545": { "input": "Paul had eighty eight billion sixty three million forty four thousand nine hundred at [p]", "output": "paul", "sentence": "Paul had eighty eight billion sixty three million forty four thousand nine hundred at", "letter": "p", "words": [ "Paul" ], "source": "train" }, "1546": { "input": "We Americans and the British pamper ourselves. [w]", "output": "we", "sentence": "We Americans and the British pamper ourselves.", "letter": "w", "words": [ "We" ], "source": "train" }, "1547": { "input": "I gave the package to Maria. [m]", "output": "maria", "sentence": "I gave the package to Maria.", "letter": "m", "words": [ "Maria" ], "source": "train" }, "1548": { "input": "Jim was chopping logs when Margaret left and was still at it when she got back. [i]", "output": "it", "sentence": "Jim was chopping logs when Margaret left and was still at it when she got back.", "letter": "i", "words": [ "it" ], "source": "train" }, "1549": { "input": "The ball kicked a man. [k]", "output": "kicked", "sentence": "The ball kicked a man.", "letter": "k", "words": [ "kicked" ], "source": "train" }, "1550": { "input": "Any owl can hunt mice. [o]", "output": "owl", "sentence": "Any owl can hunt mice.", "letter": "o", "words": [ "owl" ], "source": "train" }, "1551": { "input": "John said Martha sang the aria with gusto. [s]", "output": "said sang", "sentence": "John said Martha sang the aria with gusto.", "letter": "s", "words": [ "said", "sang" ], "source": "train" }, "1552": { "input": "Most dragons have been neutered. [b]", "output": "been", "sentence": "Most dragons have been neutered.", "letter": "b", "words": [ "been" ], "source": "train" }, "1553": { "input": "Strings have been pulled many times to get students into that university. [b]", "output": "been", "sentence": "Strings have been pulled many times to get students into that university.", "letter": "b", "words": [ "been" ], "source": "train" }, "1554": { "input": "John is touching the wall. [j]", "output": "john", "sentence": "John is touching the wall.", "letter": "j", "words": [ "John" ], "source": "train" }, "1555": { "input": "the branch dropped its apple free. [f]", "output": "free", "sentence": "the branch dropped its apple free.", "letter": "f", "words": [ "free" ], "source": "train" }, "1556": { "input": "That I should kiss pigs is my fondest dream [f]", "output": "fondest", "sentence": "That I should kiss pigs is my fondest dream", "letter": "f", "words": [ "fondest" ], "source": "train" }, "1557": { "input": "The money that you gave me disappeared last night. [n]", "output": "night", "sentence": "The money that you gave me disappeared last night.", "letter": "n", "words": [ "night" ], "source": "train" }, "1558": { "input": "Jack eats caviar more than he eats mush. [m]", "output": "more mush", "sentence": "Jack eats caviar more than he eats mush.", "letter": "m", "words": [ "more", "mush" ], "source": "train" }, "1559": { "input": "His friend learned dancing. [l]", "output": "learned", "sentence": "His friend learned dancing.", "letter": "l", "words": [ "learned" ], "source": "train" }, "1560": { "input": "John does not like this town. [n]", "output": "not", "sentence": "John does not like this town.", "letter": "n", "words": [ "not" ], "source": "train" }, "1561": { "input": "Jack sprayed the wall with paint. [j]", "output": "jack", "sentence": "Jack sprayed the wall with paint.", "letter": "j", "words": [ "Jack" ], "source": "train" }, "1562": { "input": "Do be honest! [b]", "output": "be", "sentence": "Do be honest!", "letter": "b", "words": [ "be" ], "source": "train" }, "1563": { "input": "I saw these dancers and those musicians smoking something. [i]", "output": "i", "sentence": "I saw these dancers and those musicians smoking something.", "letter": "i", "words": [ "I" ], "source": "train" }, "1564": { "input": "Mary talked to any student who was angry. [m]", "output": "mary", "sentence": "Mary talked to any student who was angry.", "letter": "m", "words": [ "Mary" ], "source": "train" }, "1565": { "input": "Springfield would have built a police station with the federal grant. [a]", "output": "a", "sentence": "Springfield would have built a police station with the federal grant.", "letter": "a", "words": [ "a" ], "source": "train" }, "1566": { "input": "Who is Kim eager to recommend? [i]", "output": "is", "sentence": "Who is Kim eager to recommend?", "letter": "i", "words": [ "is" ], "source": "train" }, "1567": { "input": "Fanny loved talking to Mary. [t]", "output": "talking to", "sentence": "Fanny loved talking to Mary.", "letter": "t", "words": [ "talking", "to" ], "source": "train" }, "1568": { "input": "It rains. [i]", "output": "it", "sentence": "It rains.", "letter": "i", "words": [ "It" ], "source": "train" }, "1569": { "input": "Owners of a pig love to eat truffles. [e]", "output": "eat", "sentence": "Owners of a pig love to eat truffles.", "letter": "e", "words": [ "eat" ], "source": "train" }, "1570": { "input": "They ignored the suggestion that Lee lied. [l]", "output": "lee lied", "sentence": "They ignored the suggestion that Lee lied.", "letter": "l", "words": [ "Lee", "lied" ], "source": "train" }, "1571": { "input": "John laughed. [j]", "output": "john", "sentence": "John laughed.", "letter": "j", "words": [ "John" ], "source": "train" }, "1572": { "input": "There were several doctors available. [a]", "output": "available", "sentence": "There were several doctors available.", "letter": "a", "words": [ "available" ], "source": "train" }, "1573": { "input": "The king loved peanut butter cookies. [l]", "output": "loved", "sentence": "The king loved peanut butter cookies.", "letter": "l", "words": [ "loved" ], "source": "train" }, "1574": { "input": "You may pick any flower. [p]", "output": "pick", "sentence": "You may pick any flower.", "letter": "p", "words": [ "pick" ], "source": "train" }, "1575": { "input": "Jackie chased the thief down the street. [s]", "output": "street", "sentence": "Jackie chased the thief down the street.", "letter": "s", "words": [ "street" ], "source": "train" }, "1576": { "input": "I have wanted to know for many years exactly what happened to Rosa. [k]", "output": "know", "sentence": "I have wanted to know for many years exactly what happened to Rosa.", "letter": "k", "words": [ "know" ], "source": "train" }, "1577": { "input": "I gave myself the bucket of ice cream. [t]", "output": "the", "sentence": "I gave myself the bucket of ice cream.", "letter": "t", "words": [ "the" ], "source": "train" }, "1578": { "input": "Sandy sang a song to me. [m]", "output": "me", "sentence": "Sandy sang a song to me.", "letter": "m", "words": [ "me" ], "source": "train" }, "1579": { "input": "Fred will warn Martha that she should claim that her brother is patriotic. [c]", "output": "claim", "sentence": "Fred will warn Martha that she should claim that her brother is patriotic.", "letter": "c", "words": [ "claim" ], "source": "train" }, "1580": { "input": "He attributed to a short circuit the fire which. [a]", "output": "attributed a", "sentence": "He attributed to a short circuit the fire which.", "letter": "a", "words": [ "attributed", "a" ], "source": "train" }, "1581": { "input": "I asked if Medea poisoned Jason. [j]", "output": "jason", "sentence": "I asked if Medea poisoned Jason.", "letter": "j", "words": [ "Jason" ], "source": "train" }, "1582": { "input": "That dogs bark annoys people. [b]", "output": "bark", "sentence": "That dogs bark annoys people.", "letter": "b", "words": [ "bark" ], "source": "train" }, "1583": { "input": "The children like to berry in the summer. [l]", "output": "like", "sentence": "The children like to berry in the summer.", "letter": "l", "words": [ "like" ], "source": "train" }, "1584": { "input": "The president that Fred voted for dislikes his opponents. [o]", "output": "opponents", "sentence": "The president that Fred voted for dislikes his opponents.", "letter": "o", "words": [ "opponents" ], "source": "train" }, "1585": { "input": "She turned down his offer. [h]", "output": "his", "sentence": "She turned down his offer.", "letter": "h", "words": [ "his" ], "source": "train" }, "1586": { "input": "The events have been described well. [b]", "output": "been", "sentence": "The events have been described well.", "letter": "b", "words": [ "been" ], "source": "train" }, "1587": { "input": "A little white rabbit jumped out of the box. [l]", "output": "little", "sentence": "A little white rabbit jumped out of the box.", "letter": "l", "words": [ "little" ], "source": "train" }, "1588": { "input": "Bill seems to him to be handsome. [s]", "output": "seems", "sentence": "Bill seems to him to be handsome.", "letter": "s", "words": [ "seems" ], "source": "train" }, "1589": { "input": "The teacher who it was expected by the reporters that the principal would fire is a crusty old jerk. [p]", "output": "principal", "sentence": "The teacher who it was expected by the reporters that the principal would fire is a crusty old jerk.", "letter": "p", "words": [ "principal" ], "source": "train" }, "1590": { "input": "Seven pine trees are behind that barn. [p]", "output": "pine", "sentence": "Seven pine trees are behind that barn.", "letter": "p", "words": [ "pine" ], "source": "train" }, "1591": { "input": "This project is manageable. [t]", "output": "this", "sentence": "This project is manageable.", "letter": "t", "words": [ "This" ], "source": "train" }, "1592": { "input": "How quickly did you eat the cake? [d]", "output": "did", "sentence": "How quickly did you eat the cake?", "letter": "d", "words": [ "did" ], "source": "train" }, "1593": { "input": "Mary always prefers lemons to limes. [t]", "output": "to", "sentence": "Mary always prefers lemons to limes.", "letter": "t", "words": [ "to" ], "source": "train" }, "1594": { "input": "This John Smith lives in Seoul. [t]", "output": "this", "sentence": "This John Smith lives in Seoul.", "letter": "t", "words": [ "This" ], "source": "train" }, "1595": { "input": "That Jason arrived infuriated Medea. [t]", "output": "that", "sentence": "That Jason arrived infuriated Medea.", "letter": "t", "words": [ "That" ], "source": "train" }, "1596": { "input": "They praised the volunteers. [v]", "output": "volunteers", "sentence": "They praised the volunteers.", "letter": "v", "words": [ "volunteers" ], "source": "train" }, "1597": { "input": "Richard is going to chop some wood. [t]", "output": "to", "sentence": "Richard is going to chop some wood.", "letter": "t", "words": [ "to" ], "source": "train" }, "1598": { "input": "There is a description of Aristotle in the book. [a]", "output": "a aristotle", "sentence": "There is a description of Aristotle in the book.", "letter": "a", "words": [ "a", "Aristotle" ], "source": "train" }, "1599": { "input": "Never have I been spoken to so rudely! [i]", "output": "i", "sentence": "Never have I been spoken to so rudely!", "letter": "i", "words": [ "I" ], "source": "train" }, "1600": { "input": "Students enter high level educational institutions might face many problems relating to study habits. 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[t]", "output": "to", "sentence": "Susan wanted to sleep.", "letter": "t", "words": [ "to" ], "source": "train" }, "1626": { "input": "The contract is subject to approval by my committee. [a]", "output": "approval", "sentence": "The contract is subject to approval by my committee.", "letter": "a", "words": [ "approval" ], "source": "train" }, "1627": { "input": "It was Ann who bought a first edition of Richard III for . [e]", "output": "edition", "sentence": "It was Ann who bought a first edition of Richard III for .", "letter": "e", "words": [ "edition" ], "source": "train" }, "1628": { "input": "He remained a good friend to me. [h]", "output": "he", "sentence": "He remained a good friend to me.", "letter": "h", "words": [ "He" ], "source": "train" }, "1629": { "input": "Fanny regretted talking to Mary. [m]", "output": "mary", "sentence": "Fanny regretted talking to Mary.", "letter": "m", "words": [ "Mary" ], "source": "train" }, "1630": { "input": "The handsome, tall, nice man kicked the ball. [k]", "output": "kicked", "sentence": "The handsome, tall, nice man kicked the ball.", "letter": "k", "words": [ "kicked" ], "source": "train" }, "1631": { "input": "Sally is making scones, and Gillian is too. [s]", "output": "sally scones", "sentence": "Sally is making scones, and Gillian is too.", "letter": "s", "words": [ "Sally", "scones" ], "source": "train" }, "1632": { "input": "This drug must first be tested on oneself. [b]", "output": "be", "sentence": "This drug must first be tested on oneself.", "letter": "b", "words": [ "be" ], "source": "train" }, "1633": { "input": "Mary wrote a letter to him last year. [m]", "output": "mary", "sentence": "Mary wrote a letter to him last year.", "letter": "m", "words": [ "Mary" ], "source": "train" }, "1634": { "input": "Paula swatted at the fly. 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[b]", "output": "became blond", "sentence": "Daniel became a blond.", "letter": "b", "words": [ "became", "blond" ], "source": "train" }, "1644": { "input": "Louis begged Kate to leave. [t]", "output": "to", "sentence": "Louis begged Kate to leave.", "letter": "t", "words": [ "to" ], "source": "train" }, "1645": { "input": "Where did the policeman meet several young students? [w]", "output": "where", "sentence": "Where did the policeman meet several young students?", "letter": "w", "words": [ "Where" ], "source": "train" }, "1646": { "input": "The book, including all the chapters in the first section, is very interesting. [c]", "output": "chapters", "sentence": "The book, including all the chapters in the first section, is very interesting.", "letter": "c", "words": [ "chapters" ], "source": "train" }, "1647": { "input": "The child clung to her mother. [m]", "output": "mother", "sentence": "The child clung to her mother.", "letter": "m", "words": [ "mother" ], "source": "train" }, "1648": { "input": "It snowed [s]", "output": "snowed", "sentence": "It snowed", "letter": "s", "words": [ "snowed" ], "source": "train" }, "1649": { "input": "I do not think it unreasonable to ask for the return of my subscription. [t]", "output": "think to the", "sentence": "I do not think it unreasonable to ask for the return of my subscription.", "letter": "t", "words": [ "think", "to", "the" ], "source": "train" }, "1650": { "input": "Perhaps Iphigenia will have murdered Oedipus by tomorrow. [h]", "output": "have", "sentence": "Perhaps Iphigenia will have murdered Oedipus by tomorrow.", "letter": "h", "words": [ "have" ], "source": "train" }, "1651": { "input": "Robert knew that it was necessary to behave himself. [t]", "output": "that to", "sentence": "Robert knew that it was necessary to behave himself.", "letter": "t", "words": [ "that", "to" ], "source": "train" }, "1652": { "input": "She gets upset whether I exclude her from anything. [w]", "output": "whether", "sentence": "She gets upset whether I exclude her from anything.", "letter": "w", "words": [ "whether" ], "source": "train" }, "1653": { "input": "Every politician is worried when the press starts attacking him. [h]", "output": "him", "sentence": "Every politician is worried when the press starts attacking him.", "letter": "h", "words": [ "him" ], "source": "train" }, "1654": { "input": "These are the books that we have gone most thoroughly over. [b]", "output": "books", "sentence": "These are the books that we have gone most thoroughly over.", "letter": "b", "words": [ "books" ], "source": "train" }, "1655": { "input": "John sells books, Mary buys records and Bill V newspapers. [s]", "output": "sells", "sentence": "John sells books, Mary buys records and Bill V newspapers.", "letter": "s", "words": [ "sells" ], "source": "train" }, "1656": { "input": "He kicked you. [y]", "output": "you", "sentence": "He kicked you.", "letter": "y", "words": [ "you" ], "source": "train" }, "1657": { "input": "The more that pictures of him appear in the news, the more embarrassed John becomes. [o]", "output": "of", "sentence": "The more that pictures of him appear in the news, the more embarrassed John becomes.", "letter": "o", "words": [ "of" ], "source": "train" }, "1658": { "input": "Abernathy admitted that the poison pen letter had been written by my sister and himself. [m]", "output": "my", "sentence": "Abernathy admitted that the poison pen letter had been written by my sister and himself.", "letter": "m", "words": [ "my" ], "source": "train" }, "1659": { "input": "He attributed to a short circuit the fire which. [h]", "output": "he", "sentence": "He attributed to a short circuit the fire which.", "letter": "h", "words": [ "He" ], "source": "train" }, "1660": { "input": "Jean seems to be in a good mood. [g]", "output": "good", "sentence": "Jean seems to be in a good mood.", "letter": "g", "words": [ "good" ], "source": "train" }, "1661": { "input": "Has the potion not worked? [p]", "output": "potion", "sentence": "Has the potion not worked?", "letter": "p", "words": [ "potion" ], "source": "train" }, "1662": { "input": "Ellen complained about the situation. [t]", "output": "the", "sentence": "Ellen complained about the situation.", "letter": "t", "words": [ "the" ], "source": "train" }, "1663": { "input": "The socks are ready for you to announce that you will put them on. [r]", "output": "ready", "sentence": "The socks are ready for you to announce that you will put them on.", "letter": "r", "words": [ "ready" ], "source": "train" }, "1664": { "input": "Amanda carried packages to New York. [t]", "output": "to", "sentence": "Amanda carried packages to New York.", "letter": "t", "words": [ "to" ], "source": "train" }, "1665": { "input": "What I meant was that you have done it really well. [r]", "output": "really", "sentence": "What I meant was that you have done it really well.", "letter": "r", "words": [ "really" ], "source": "train" }, "1666": { "input": "Never had Sir Thomas been so offended. [h]", "output": "had", "sentence": "Never had Sir Thomas been so offended.", "letter": "h", "words": [ "had" ], "source": "train" }, "1667": { "input": "Pat is likely to be examined by the dentist. [d]", "output": "dentist", "sentence": "Pat is likely to be examined by the dentist.", "letter": "d", "words": [ "dentist" ], "source": "train" }, "1668": { "input": "John loved the new pictures of himself. [l]", "output": "loved", "sentence": "John loved the new pictures of himself.", "letter": "l", "words": [ "loved" ], "source": "train" }, "1669": { "input": "People with boxes of old clothes lined up behind the door of the building with the leaky roof. [l]", "output": "lined leaky", "sentence": "People with boxes of old clothes lined up behind the door of the building with the leaky roof.", "letter": "l", "words": [ "lined", "leaky" ], "source": "train" }, "1670": { "input": "John believes it to be obvious that Bill left. [t]", "output": "to that", "sentence": "John believes it to be obvious that Bill left.", "letter": "t", "words": [ "to", "that" ], "source": "train" }, "1671": { "input": "Whom did Bill leave. [l]", "output": "leave", "sentence": "Whom did Bill leave.", "letter": "l", "words": [ "leave" ], "source": "train" }, "1672": { "input": "Webster touched a sword after Henry had done it. [a]", "output": "a after", "sentence": "Webster touched a sword after Henry had done it.", "letter": "a", "words": [ "a", "after" ], "source": "train" }, "1673": { "input": "Dana is longing for a sunny day. [i]", "output": "is", "sentence": "Dana is longing for a sunny day.", "letter": "i", "words": [ "is" ], "source": "train" }, "1674": { "input": "This is the friend for whose mother Kim gave a party. [p]", "output": "party", "sentence": "This is the friend for whose mother Kim gave a party.", "letter": "p", "words": [ "party" ], "source": "train" }, "1675": { "input": "Mary should know that you must go to the station. [y]", "output": "you", "sentence": "Mary should know that you must go to the station.", "letter": "y", "words": [ "you" ], "source": "train" }, "1676": { "input": "You eat the fish raw and the beef cooked. [r]", "output": "raw", "sentence": "You eat the fish raw and the beef cooked.", "letter": "r", "words": [ "raw" ], "source": "train" }, "1677": { "input": "Experts all agree that dreams cause great anxiety and stress are called nightmares. [c]", "output": "cause called", "sentence": "Experts all agree that dreams cause great anxiety and stress are called nightmares.", "letter": "c", "words": [ "cause", "called" ], "source": "train" }, "1678": { "input": "What I said was that we would go. [g]", "output": "go", "sentence": "What I said was that we would go.", "letter": "g", "words": [ "go" ], "source": "train" }, "1679": { "input": "They represented Mary to the dean as a genuine linguist. [m]", "output": "mary", "sentence": "They represented Mary to the dean as a genuine linguist.", "letter": "m", "words": [ "Mary" ], "source": "train" }, "1680": { "input": "Jason persuaded Medea to desert her family. [d]", "output": "desert", "sentence": "Jason persuaded Medea to desert her family.", "letter": "d", "words": [ "desert" ], "source": "train" }, "1681": { "input": "Abernathy admitted that the poison pen letter had been written by my sister and him. [l]", "output": "letter", "sentence": "Abernathy admitted that the poison pen letter had been written by my sister and him.", "letter": "l", "words": [ "letter" ], "source": "train" }, "1682": { "input": "I am anxious for you to study English grammar hard. [g]", "output": "grammar", "sentence": "I am anxious for you to study English grammar hard.", "letter": "g", "words": [ "grammar" ], "source": "train" }, "1683": { "input": "Never have I stolen from any members of your family. [h]", "output": "have", "sentence": "Never have I stolen from any members of your family.", "letter": "h", "words": [ "have" ], "source": "train" }, "1684": { "input": "Tomatoes were introduced in Europe after . [w]", "output": "were", "sentence": "Tomatoes were introduced in Europe after .", "letter": "w", "words": [ "were" ], "source": "train" }, "1685": { "input": "John was driving the car. [d]", "output": "driving", "sentence": "John was driving the car.", "letter": "d", "words": [ "driving" ], "source": "train" }, "1686": { "input": "I did not have a red cent. [a]", "output": "a", "sentence": "I did not have a red cent.", "letter": "a", "words": [ "a" ], "source": "train" }, "1687": { "input": "What the thing which I ate cost almost broke me. [a]", "output": "ate almost", "sentence": "What the thing which I ate cost almost broke me.", "letter": "a", "words": [ "ate", "almost" ], "source": "train" }, "1688": { "input": "They investigated the problem. [i]", "output": "investigated", "sentence": "They investigated the problem.", "letter": "i", "words": [ "investigated" ], "source": "train" }, "1689": { "input": "Every woman who heard the news contributed to the fund. [h]", "output": "heard", "sentence": "Every woman who heard the news contributed to the fund.", "letter": "h", "words": [ "heard" ], "source": "train" }, "1690": { "input": "I just know that the Big South teams everyone knew would win actually won the game. [e]", "output": "everyone", "sentence": "I just know that the Big South teams everyone knew would win actually won the game.", "letter": "e", "words": [ "everyone" ], "source": "train" }, "1691": { "input": "Tom placed it under the table. [i]", "output": "it", "sentence": "Tom placed it under the table.", "letter": "i", "words": [ "it" ], "source": "train" }, "1692": { "input": "John hummed, and Mary sang, the same tune. [h]", "output": "hummed", "sentence": "John hummed, and Mary sang, the same tune.", "letter": "h", "words": [ "hummed" ], "source": "train" }, "1693": { "input": "Will George indeed not endorse the treaty? [i]", "output": "indeed", "sentence": "Will George indeed not endorse the treaty?", "letter": "i", "words": [ "indeed" ], "source": "train" }, "1694": { "input": "Smith inscribed his name over the door. [i]", "output": "inscribed", "sentence": "Smith inscribed his name over the door.", "letter": "i", "words": [ "inscribed" ], "source": "train" }, "1695": { "input": "Dana is longing for a sunny day. [f]", "output": "for", "sentence": "Dana is longing for a sunny day.", "letter": "f", "words": [ "for" ], "source": "train" }, "1696": { "input": "Jack sprayed paint on the wall. [t]", "output": "the", "sentence": "Jack sprayed paint on the wall.", "letter": "t", "words": [ "the" ], "source": "train" }, "1697": { "input": "This is why he came early. [w]", "output": "why", "sentence": "This is why he came early.", "letter": "w", "words": [ "why" ], "source": "train" }, "1698": { "input": "This bribe will cost the government , to prove that Senator Jones accepted. [s]", "output": "senator", "sentence": "This bribe will cost the government , to prove that Senator Jones accepted.", "letter": "s", "words": [ "Senator" ], "source": "train" }, "1699": { "input": "In the hallway there ticked a grandfather clock. [c]", "output": "clock", "sentence": "In the hallway there ticked a grandfather clock.", "letter": "c", "words": [ "clock" ], "source": "train" }, "1700": { "input": "The trail we walked today was built by slave labor. [l]", "output": "labor", "sentence": "The trail we walked today was built by slave labor.", "letter": "l", "words": [ "labor" ], "source": "train" }, "1701": { "input": "I have eaten my hat already [i]", "output": "i", "sentence": "I have eaten my hat already", "letter": "i", "words": [ "I" ], "source": "train" }, "1702": { "input": "My niece could write me letters before her third birthday. [c]", "output": "could", "sentence": "My niece could write me letters before her third birthday.", "letter": "c", "words": [ "could" ], "source": "train" }, "1703": { "input": "That he sometimes went there alone is certain. [s]", "output": "sometimes", "sentence": "That he sometimes went there alone is certain.", "letter": "s", "words": [ "sometimes" ], "source": "train" }, "1704": { "input": "He made a statement everyone thought was interesting and important. [w]", "output": "was", "sentence": "He made a statement everyone thought was interesting and important.", "letter": "w", "words": [ "was" ], "source": "train" }, "1705": { "input": "Brian wiped the fingerprints from outside the cupboard. [o]", "output": "outside", "sentence": "Brian wiped the fingerprints from outside the cupboard.", "letter": "o", "words": [ "outside" ], "source": "train" }, "1706": { "input": "The person who John asked for help thinks he is foolish. [w]", "output": "who", "sentence": "The person who John asked for help thinks he is foolish.", "letter": "w", "words": [ "who" ], "source": "train" }, "1707": { "input": "I have wanted to meet the man who spent so much money planning the assassination of Kennedy for many years. [w]", "output": "wanted who", "sentence": "I have wanted to meet the man who spent so much money planning the assassination of Kennedy for many years.", "letter": "w", "words": [ "wanted", "who" ], "source": "train" }, "1708": { "input": "Mary or Sue could tell you that. [t]", "output": "tell that", "sentence": "Mary or Sue could tell you that.", "letter": "t", "words": [ "tell", "that" ], "source": "train" }, "1709": { "input": "A flowering plant is on the windowsill. [p]", "output": "plant", "sentence": "A flowering plant is on the windowsill.", "letter": "p", "words": [ "plant" ], "source": "train" }, "1710": { "input": "She stipulated her way out of the problem. [p]", "output": "problem", "sentence": "She stipulated her way out of the problem.", "letter": "p", "words": [ "problem" ], "source": "train" }, "1711": { "input": "Duty made them never miss the weekly meetings. [w]", "output": "weekly", "sentence": "Duty made them never miss the weekly meetings.", "letter": "w", "words": [ "weekly" ], "source": "train" }, "1712": { "input": "What Mary offered to him is unclear. [u]", "output": "unclear", "sentence": "What Mary offered to him is unclear.", "letter": "u", "words": [ "unclear" ], "source": "train" }, "1713": { "input": "It would be difficult to please John. [d]", "output": "difficult", "sentence": "It would be difficult to please John.", "letter": "d", "words": [ "difficult" ], "source": "train" }, "1714": { "input": "All the men lifted the table together. [l]", "output": "lifted", "sentence": "All the men lifted the table together.", "letter": "l", "words": [ "lifted" ], "source": "train" }, "1715": { "input": "Mary convinced me that the argument was sound. [a]", "output": "argument", "sentence": "Mary convinced me that the argument was sound.", "letter": "a", "words": [ "argument" ], "source": "train" }, "1716": { "input": "Who was it obvious that Plato loved? [o]", "output": "obvious", "sentence": "Who was it obvious that Plato loved?", "letter": "o", "words": [ "obvious" ], "source": "train" }, "1717": { "input": "Drowning cats is against the law. [t]", "output": "the", "sentence": "Drowning cats is against the law.", "letter": "t", "words": [ "the" ], "source": "train" }, "1718": { "input": "John persuaded Mary to kiss him. [j]", "output": "john", "sentence": "John persuaded Mary to kiss him.", "letter": "j", "words": [ "John" ], "source": "train" }, "1719": { "input": "I prefer for the girl to win. [i]", "output": "i", "sentence": "I prefer for the girl to win.", "letter": "i", "words": [ "I" ], "source": "train" }, "1720": { "input": "The pictures of Bill, she put on your desk. [p]", "output": "pictures put", "sentence": "The pictures of Bill, she put on your desk.", "letter": "p", "words": [ "pictures", "put" ], "source": "train" }, "1721": { "input": "Catherine feared that the Abbey was haunted. [t]", "output": "that the", "sentence": "Catherine feared that the Abbey was haunted.", "letter": "t", "words": [ "that", "the" ], "source": "train" }, "1722": { "input": "The door has a fresh coat of paint. [c]", "output": "coat", "sentence": "The door has a fresh coat of paint.", "letter": "c", "words": [ "coat" ], "source": "train" }, "1723": { "input": "Water filled the cup. [c]", "output": "cup", "sentence": "Water filled the cup.", "letter": "c", "words": [ "cup" ], "source": "train" }, "1724": { "input": "Every book that Megan did Brandon read too. [e]", "output": "every", "sentence": "Every book that Megan did Brandon read too.", "letter": "e", "words": [ "Every" ], "source": "train" }, "1725": { "input": "We went through the woods and over the bridge. [a]", "output": "and", "sentence": "We went through the woods and over the bridge.", "letter": "a", "words": [ "and" ], "source": "train" }, "1726": { "input": "We felled the murder with this chainsaw. [t]", "output": "the this", "sentence": "We felled the murder with this chainsaw.", "letter": "t", "words": [ "the", "this" ], "source": "train" }, "1727": { "input": "No photo of Max and sketch by his students appeared in the magazine. [n]", "output": "no", "sentence": "No photo of Max and sketch by his students appeared in the magazine.", "letter": "n", "words": [ "No" ], "source": "train" }, "1728": { "input": "Sharon fainted at the sight of the accident. [a]", "output": "at accident", "sentence": "Sharon fainted at the sight of the accident.", "letter": "a", "words": [ "at", "accident" ], "source": "train" }, "1729": { "input": "A choir sang in the church. [c]", "output": "choir church", "sentence": "A choir sang in the church.", "letter": "c", "words": [ "choir", "church" ], "source": "train" }, "1730": { "input": "The contract is subject to approval by my committee. [m]", "output": "my", "sentence": "The contract is subject to approval by my committee.", "letter": "m", "words": [ "my" ], "source": "train" }, "1731": { "input": "Homer recited the poem about Achilles? [a]", "output": "about achilles", "sentence": "Homer recited the poem about Achilles?", "letter": "a", "words": [ "about", "Achilles" ], "source": "train" }, "1732": { "input": "I borrowed large sums of money from the bank, and my sister stole large sums of money from the bank. [i]", "output": "i", "sentence": "I borrowed large sums of money from the bank, and my sister stole large sums of money from the bank.", "letter": "i", "words": [ "I" ], "source": "train" }, "1733": { "input": "Which dress has she gone and ruined now? [d]", "output": "dress", "sentence": "Which dress has she gone and ruined now?", "letter": "d", "words": [ "dress" ], "source": "train" }, "1734": { "input": "I noticed his car in the driveway last night, your friend from Boston. [t]", "output": "the", "sentence": "I noticed his car in the driveway last night, your friend from Boston.", "letter": "t", "words": [ "the" ], "source": "train" }, "1735": { "input": "Henry saw that Bill left. [l]", "output": "left", "sentence": "Henry saw that Bill left.", "letter": "l", "words": [ "left" ], "source": "train" }, "1736": { "input": "The car was driven by Alison. [c]", "output": "car", "sentence": "The car was driven by Alison.", "letter": "c", "words": [ "car" ], "source": "train" }, "1737": { "input": "He gave my binoculars to that girl. [m]", "output": "my", "sentence": "He gave my binoculars to that girl.", "letter": "m", "words": [ "my" ], "source": "train" }, "1738": { "input": "Tom will force you to marry no student, and neither will I. [s]", "output": "student", "sentence": "Tom will force you to marry no student, and neither will I.", "letter": "s", "words": [ "student" ], "source": "train" }, "1739": { "input": "Fred tore the curtain in rolling up the wallpaper. [w]", "output": "wallpaper", "sentence": "Fred tore the curtain in rolling up the wallpaper.", "letter": "w", "words": [ "wallpaper" ], "source": "train" }, "1740": { "input": "Linda taped the box with two sided tape. [l]", "output": "linda", "sentence": "Linda taped the box with two sided tape.", "letter": "l", "words": [ "Linda" ], "source": "train" }, "1741": { "input": "The money which I will have a chance to squander amounts to , . [m]", "output": "money", "sentence": "The money which I will have a chance to squander amounts to , .", "letter": "m", "words": [ "money" ], "source": "train" }, "1742": { "input": "Jack may be and Tony certainly is a werewolf. [i]", "output": "is", "sentence": "Jack may be and Tony certainly is a werewolf.", "letter": "i", "words": [ "is" ], "source": "train" }, "1743": { "input": "When the executioner arrived, Poseidon was asleep [e]", "output": "executioner", "sentence": "When the executioner arrived, Poseidon was asleep", "letter": "e", "words": [ "executioner" ], "source": "train" }, "1744": { "input": "How much harder has it rained, when you see a faster flow in the river? [h]", "output": "how harder has", "sentence": "How much harder has it rained, when you see a faster flow in the river?", "letter": "h", "words": [ "How", "harder", "has" ], "source": "train" }, "1745": { "input": "Clean your desk before tomorrow. [y]", "output": "your", "sentence": "Clean your desk before tomorrow.", "letter": "y", "words": [ "your" ], "source": "train" }, "1746": { "input": "Linda winked. [w]", "output": "winked", "sentence": "Linda winked.", "letter": "w", "words": [ "winked" ], "source": "train" }, "1747": { "input": "Carol carved the marble with a chisel. [m]", "output": "marble", "sentence": "Carol carved the marble with a chisel.", "letter": "m", "words": [ "marble" ], "source": "train" }, "1748": { "input": "The student who got A in the class was very happy. [v]", "output": "very", "sentence": "The student who got A in the class was very happy.", "letter": "v", "words": [ "very" ], "source": "train" }, "1749": { "input": "To whom did you throw the ball? [t]", "output": "to throw the", "sentence": "To whom did you throw the ball?", "letter": "t", "words": [ "To", "throw", "the" ], "source": "train" }, "1750": { "input": "The Ferrari which Pietro, who Sofia adores, bought from me cost him a bundle. [w]", "output": "which who", "sentence": "The Ferrari which Pietro, who Sofia adores, bought from me cost him a bundle.", "letter": "w", "words": [ "which", "who" ], "source": "train" }, "1751": { "input": "the branch dropped its apple free. [t]", "output": "the", "sentence": "the branch dropped its apple free.", "letter": "t", "words": [ "the" ], "source": "train" }, "1752": { "input": "Who do you think Ciaran will question first? [y]", "output": "you", "sentence": "Who do you think Ciaran will question first?", "letter": "y", "words": [ "you" ], "source": "train" }, "1753": { "input": "He always eats deep fried muffins. [h]", "output": "he", "sentence": "He always eats deep fried muffins.", "letter": "h", "words": [ "He" ], "source": "train" }, "1754": { "input": "Heather cabled the news to Sara. [h]", "output": "heather", "sentence": "Heather cabled the news to Sara.", "letter": "h", "words": [ "Heather" ], "source": "train" }, "1755": { "input": "John remained a student. [j]", "output": "john", "sentence": "John remained a student.", "letter": "j", "words": [ "John" ], "source": "train" }, "1756": { "input": "Erika made her mother an omelet and the kitchen a mess. [k]", "output": "kitchen", "sentence": "Erika made her mother an omelet and the kitchen a mess.", "letter": "k", "words": [ "kitchen" ], "source": "train" }, "1757": { "input": "Kim was dancing, and Sandy was, too. [t]", "output": "too", "sentence": "Kim was dancing, and Sandy was, too.", "letter": "t", "words": [ "too" ], "source": "train" }, "1758": { "input": "I have always loved peanut butter. [i]", "output": "i", "sentence": "I have always loved peanut butter.", "letter": "i", "words": [ "I" ], "source": "train" }, "1759": { "input": " will buy you a ticket. [y]", "output": "you", "sentence": " will buy you a ticket.", "letter": "y", "words": [ "you" ], "source": "train" }, "1760": { "input": "It is this hat that I believe that he was wearing. [i]", "output": "it is i", "sentence": "It is this hat that I believe that he was wearing.", "letter": "i", "words": [ "It", "is", "I" ], "source": "train" }, "1761": { "input": "She will put a picture of Bill on your desk before tomorrow. [w]", "output": "will", "sentence": "She will put a picture of Bill on your desk before tomorrow.", "letter": "w", "words": [ "will" ], "source": "train" }, "1762": { "input": "This is the dog that chased the cat that caught the rat that ate the cheese. [i]", "output": "is", "sentence": "This is the dog that chased the cat that caught the rat that ate the cheese.", "letter": "i", "words": [ "is" ], "source": "train" }, "1763": { "input": "They think she has too much independence. [h]", "output": "has", "sentence": "They think she has too much independence.", "letter": "h", "words": [ "has" ], "source": "train" }, "1764": { "input": "Did you drink the poison? [p]", "output": "poison", "sentence": "Did you drink the poison?", "letter": "p", "words": [ "poison" ], "source": "train" }, "1765": { "input": "There is likely to be no student absent. [l]", "output": "likely", "sentence": "There is likely to be no student absent.", "letter": "l", "words": [ "likely" ], "source": "train" }, "1766": { "input": "The kid picked up the apple that fell down on the ground. [o]", "output": "on", "sentence": "The kid picked up the apple that fell down on the ground.", "letter": "o", "words": [ "on" ], "source": "train" }, "1767": { "input": "The curtain which Fred tore in rolling up was the kind gift of my maternal Aunt Priscilla. [r]", "output": "rolling", "sentence": "The curtain which Fred tore in rolling up was the kind gift of my maternal Aunt Priscilla.", "letter": "r", "words": [ "rolling" ], "source": "train" }, "1768": { "input": "Calvin had eaten. [c]", "output": "calvin", "sentence": "Calvin had eaten.", "letter": "c", "words": [ "Calvin" ], "source": "train" }, "1769": { "input": "The bag is bulging with groceries. [i]", "output": "is", "sentence": "The bag is bulging with groceries.", "letter": "i", "words": [ "is" ], "source": "train" }, "1770": { "input": "What I believe that he was wearing is this hat. [t]", "output": "that this", "sentence": "What I believe that he was wearing is this hat.", "letter": "t", "words": [ "that", "this" ], "source": "train" }, "1771": { "input": "On which bed does Tom sleep? [w]", "output": "which", "sentence": "On which bed does Tom sleep?", "letter": "w", "words": [ "which" ], "source": "train" }, "1772": { "input": "They all agreed to include those matters which everyone believed had been excluded from the Treaty. [f]", "output": "from", "sentence": "They all agreed to include those matters which everyone believed had been excluded from the Treaty.", "letter": "f", "words": [ "from" ], "source": "train" }, "1773": { "input": "I showed Mary several portraits of herself. [o]", "output": "of", "sentence": "I showed Mary several portraits of herself.", "letter": "o", "words": [ "of" ], "source": "train" }, "1774": { "input": "Springfield would have built a police station with the federal grant. [t]", "output": "the", "sentence": "Springfield would have built a police station with the federal grant.", "letter": "t", "words": [ "the" ], "source": "train" }, "1775": { "input": "Some sentences can go on and on and on and on. [s]", "output": "some sentences", "sentence": "Some sentences can go on and on and on and on.", "letter": "s", "words": [ "Some", "sentences" ], "source": "train" }, "1776": { "input": "It is crucial that John should show an interest. [c]", "output": "crucial", "sentence": "It is crucial that John should show an interest.", "letter": "c", "words": [ "crucial" ], "source": "train" }, "1777": { "input": "They said that Tom would pay up, and pay up it is well known that he did. [i]", "output": "it is", "sentence": "They said that Tom would pay up, and pay up it is well known that he did.", "letter": "i", "words": [ "it", "is" ], "source": "train" }, "1778": { "input": "Linda taped the label to the cover. [c]", "output": "cover", "sentence": "Linda taped the label to the cover.", "letter": "c", "words": [ "cover" ], "source": "train" }, "1779": { "input": "The police read the detainees their rights, but not a single one was paying attention. [w]", "output": "was", "sentence": "The police read the detainees their rights, but not a single one was paying attention.", "letter": "w", "words": [ "was" ], "source": "train" }, "1780": { "input": "They dismissed as too costly the proposal for the State to build a sidewalk from Dartmouth to Smith. [a]", "output": "as a", "sentence": "They dismissed as too costly the proposal for the State to build a sidewalk from Dartmouth to Smith.", "letter": "a", "words": [ "as", "a" ], "source": "train" }, "1781": { "input": "I wonder in which pocket it was that Kim had hidden the jewels. [w]", "output": "wonder which was", "sentence": "I wonder in which pocket it was that Kim had hidden the jewels.", "letter": "w", "words": [ "wonder", "which", "was" ], "source": "train" }, "1782": { "input": "John sang a song and danced to the music. [m]", "output": "music", "sentence": "John sang a song and danced to the music.", "letter": "m", "words": [ "music" ], "source": "train" }, "1783": { "input": "Mary noticed that John excessively appreciates himself. [m]", "output": "mary", "sentence": "Mary noticed that John excessively appreciates himself.", "letter": "m", "words": [ "Mary" ], "source": "train" }, "1784": { "input": "John asks which book by his father he read. [r]", "output": "read", "sentence": "John asks which book by his father he read.", "letter": "r", "words": [ "read" ], "source": "train" }, "1785": { "input": "John believes him to have been at the game. [t]", "output": "to the", "sentence": "John believes him to have been at the game.", "letter": "t", "words": [ "to", "the" ], "source": "train" }, "1786": { "input": "The boys should all could go [c]", "output": "could", "sentence": "The boys should all could go", "letter": "c", "words": [ "could" ], "source": "train" }, "1787": { "input": "Martha carved beautiful toys out of this wood. [o]", "output": "out of", "sentence": "Martha carved beautiful toys out of this wood.", "letter": "o", "words": [ "out", "of" ], "source": "train" }, "1788": { "input": "Max offered help to the victims, but they refused his offer. [t]", "output": "to the they", "sentence": "Max offered help to the victims, but they refused his offer.", "letter": "t", "words": [ "to", "the", "they" ], "source": "train" }, "1789": { "input": "I feel it is unfortunate that television is so vulgar these days. [s]", "output": "so", "sentence": "I feel it is unfortunate that television is so vulgar these days.", "letter": "s", "words": [ "so" ], "source": "train" }, "1790": { "input": "Before you make any plans, consult the secretary. [s]", "output": "secretary", "sentence": "Before you make any plans, consult the secretary.", "letter": "s", "words": [ "secretary" ], "source": "train" }, "1791": { "input": "Tom placed it under the table. [t]", "output": "tom the table", "sentence": "Tom placed it under the table.", "letter": "t", "words": [ "Tom", "the", "table" ], "source": "train" }, "1792": { "input": "Mary considered John to have loved her. [h]", "output": "have her", "sentence": "Mary considered John to have loved her.", "letter": "h", "words": [ "have", "her" ], "source": "train" }, "1793": { "input": "I need to have that report on our web page by tomorrow. [p]", "output": "page", "sentence": "I need to have that report on our web page by tomorrow.", "letter": "p", "words": [ "page" ], "source": "train" }, "1794": { "input": "Broadly speaking, the project was successful. [p]", "output": "project", "sentence": "Broadly speaking, the project was successful.", "letter": "p", "words": [ "project" ], "source": "train" }, "1795": { "input": "Chris liked which pictures of himself? [p]", "output": "pictures", "sentence": "Chris liked which pictures of himself?", "letter": "p", "words": [ "pictures" ], "source": "train" }, "1796": { "input": "The contract is subject to approval by my committee. [c]", "output": "contract committee", "sentence": "The contract is subject to approval by my committee.", "letter": "c", "words": [ "contract", "committee" ], "source": "train" }, "1797": { "input": "John remained somewhat calm. [s]", "output": "somewhat", "sentence": "John remained somewhat calm.", "letter": "s", "words": [ "somewhat" ], "source": "train" }, "1798": { "input": "The doctor cured Pat of pneumonia. [p]", "output": "pat pneumonia", "sentence": "The doctor cured Pat of pneumonia.", "letter": "p", "words": [ "Pat", "pneumonia" ], "source": "train" }, "1799": { "input": "John and Mary met in Vienna. [v]", "output": "vienna", "sentence": "John and Mary met in Vienna.", "letter": "v", "words": [ "Vienna" ], "source": "train" }, "1800": { "input": "Athena introduced Medea to Jason [i]", "output": "introduced", "sentence": "Athena introduced Medea to Jason", "letter": "i", "words": [ "introduced" ], "source": "train" }, "1801": { "input": "I am anxious for you to arrive on time. [t]", "output": "to time", "sentence": "I am anxious for you to arrive on time.", "letter": "t", "words": [ "to", "time" ], "source": "train" }, "1802": { "input": "Benjamin gave the cloak and sent the book to Lee [a]", "output": "and", "sentence": "Benjamin gave the cloak and sent the book to Lee", "letter": "a", "words": [ "and" ], "source": "train" }, "1803": { "input": "Jessica sprayed the wall with paint. [p]", "output": "paint", "sentence": "Jessica sprayed the wall with paint.", "letter": "p", "words": [ "paint" ], "source": "train" }, "1804": { "input": "How brave everybody must think you expect me to believe he is! [b]", "output": "brave believe", "sentence": "How brave everybody must think you expect me to believe he is!", "letter": "b", "words": [ "brave", "believe" ], "source": "train" }, "1805": { "input": "The dumplings which Sasha is gobbling down faster than I can reheat them are extremely tasty, if I do say so. 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[b]", "output": "be", "sentence": "There seems to be no student absent.", "letter": "b", "words": [ "be" ], "source": "train" }, "1809": { "input": "It is rumored that he left town. [l]", "output": "left", "sentence": "It is rumored that he left town.", "letter": "l", "words": [ "left" ], "source": "train" }, "1810": { "input": "It hung on the wall. [h]", "output": "hung", "sentence": "It hung on the wall.", "letter": "h", "words": [ "hung" ], "source": "train" }, "1811": { "input": "John is more than feet tall. [i]", "output": "is", "sentence": "John is more than feet tall.", "letter": "i", "words": [ "is" ], "source": "train" }, "1812": { "input": "Targets can be observed at any angle. [o]", "output": "observed", "sentence": "Targets can be observed at any angle.", "letter": "o", "words": [ "observed" ], "source": "train" }, "1813": { "input": "Paula spanked the naughty child on the back. 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[s]", "output": "squirted", "sentence": "Jessica squirted water at me.", "letter": "s", "words": [ "squirted" ], "source": "train" }, "1836": { "input": "John has a hole in the upper right hand corner of his quilt. [r]", "output": "right", "sentence": "John has a hole in the upper right hand corner of his quilt.", "letter": "r", "words": [ "right" ], "source": "train" }, "1837": { "input": "I showed few boys any of the books. [s]", "output": "showed", "sentence": "I showed few boys any of the books.", "letter": "s", "words": [ "showed" ], "source": "train" }, "1838": { "input": "On Wednesday Maisie drove her car from Morningside to Leith. [m]", "output": "maisie morningside", "sentence": "On Wednesday Maisie drove her car from Morningside to Leith.", "letter": "m", "words": [ "Maisie", "Morningside" ], "source": "train" }, "1839": { "input": "The tuna was being eaten. 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[t]", "output": "to the", "sentence": "Either Dana or Lee is going to lead the parade.", "letter": "t", "words": [ "to", "the" ], "source": "train" }, "1844": { "input": "You or Kerry have perjured yourselves. [h]", "output": "have", "sentence": "You or Kerry have perjured yourselves.", "letter": "h", "words": [ "have" ], "source": "train" }, "1845": { "input": "He treats John very kindly. [j]", "output": "john", "sentence": "He treats John very kindly.", "letter": "j", "words": [ "John" ], "source": "train" }, "1846": { "input": "That Dan smokes in the office really bothers Alina. [r]", "output": "really", "sentence": "That Dan smokes in the office really bothers Alina.", "letter": "r", "words": [ "really" ], "source": "train" }, "1847": { "input": "If you give any senator enough opportunity, he will succumb to corruption. [e]", "output": "enough", "sentence": "If you give any senator enough opportunity, he will succumb to corruption.", "letter": "e", "words": [ "enough" ], "source": "train" }, "1848": { "input": "She was sent a review copy of the book by the publisher. [r]", "output": "review", "sentence": "She was sent a review copy of the book by the publisher.", "letter": "r", "words": [ "review" ], "source": "train" }, "1849": { "input": "The baby dressed. [t]", "output": "the", "sentence": "The baby dressed.", "letter": "t", "words": [ "The" ], "source": "train" }, "1850": { "input": "Who are you trying to get hold of? [w]", "output": "who", "sentence": "Who are you trying to get hold of?", "letter": "w", "words": [ "Who" ], "source": "train" }, "1851": { "input": "Lee is believed not to like Kim. [b]", "output": "believed", "sentence": "Lee is believed not to like Kim.", "letter": "b", "words": [ "believed" ], "source": "train" }, "1852": { "input": "Who did you see in Las Vegas? [s]", "output": "see", "sentence": "Who did you see in Las Vegas?", "letter": "s", "words": [ "see" ], "source": "train" }, "1853": { "input": "This girl in the red coat will eat her breakfast and will put a picture of Bill on your desk before tomorrow. [r]", "output": "red", "sentence": "This girl in the red coat will eat her breakfast and will put a picture of Bill on your desk before tomorrow.", "letter": "r", "words": [ "red" ], "source": "train" }, "1854": { "input": "Half of the year be dark and wintry. [t]", "output": "the", "sentence": "Half of the year be dark and wintry.", "letter": "t", "words": [ "the" ], "source": "train" }, "1855": { "input": "The child was never crazy. [n]", "output": "never", "sentence": "The child was never crazy.", "letter": "n", "words": [ "never" ], "source": "train" }, "1856": { "input": "I called almost all of the men from Boston up. [o]", "output": "of", "sentence": "I called almost all of the men from Boston up.", "letter": "o", "words": [ "of" ], "source": "train" }, "1857": { "input": "Where did John put the books? [b]", "output": "books", "sentence": "Where did John put the books?", "letter": "b", "words": [ "books" ], "source": "train" }, "1858": { "input": "How brave they must believe that you are! [m]", "output": "must", "sentence": "How brave they must believe that you are!", "letter": "m", "words": [ "must" ], "source": "train" }, "1859": { "input": "Lee is believed to not like Kim. [n]", "output": "not", "sentence": "Lee is believed to not like Kim.", "letter": "n", "words": [ "not" ], "source": "train" }, "1860": { "input": "Anne played the tune on the piano. [o]", "output": "on", "sentence": "Anne played the tune on the piano.", "letter": "o", "words": [ "on" ], "source": "train" }, "1861": { "input": "I made the settlement of the matter my objective. 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[a]", "output": "allowed", "sentence": "It is not allowed to incriminate oneself.", "letter": "a", "words": [ "allowed" ], "source": "train" }, "1888": { "input": "There are less trucks on the motorway this winter. [t]", "output": "there trucks the this", "sentence": "There are less trucks on the motorway this winter.", "letter": "t", "words": [ "There", "trucks", "the", "this" ], "source": "train" }, "1889": { "input": "We talked about the issues we had worked on as students and that our perspectives had changed over the years. [s]", "output": "students", "sentence": "We talked about the issues we had worked on as students and that our perspectives had changed over the years.", "letter": "s", "words": [ "students" ], "source": "train" }, "1890": { "input": "Margaret cut Bill on the arm. 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[d]", "output": "dragon", "sentence": "Gilgamesh has been fighting the dragon.", "letter": "d", "words": [ "dragon" ], "source": "train" }, "1900": { "input": "Fred hired Sharon to change the oil. [s]", "output": "sharon", "sentence": "Fred hired Sharon to change the oil.", "letter": "s", "words": [ "Sharon" ], "source": "train" }, "1901": { "input": "He took John to the school by the park. [b]", "output": "by", "sentence": "He took John to the school by the park.", "letter": "b", "words": [ "by" ], "source": "train" }, "1902": { "input": "Press the pad with the stamp completely. [p]", "output": "press pad", "sentence": "Press the pad with the stamp completely.", "letter": "p", "words": [ "Press", "pad" ], "source": "train" }, "1903": { "input": "Jessica sprayed water at me. [s]", "output": "sprayed", "sentence": "Jessica sprayed water at me.", "letter": "s", "words": [ "sprayed" ], "source": "train" }, "1904": { "input": "Carrie touched him on the shoulder. [t]", "output": "touched the", "sentence": "Carrie touched him on the shoulder.", "letter": "t", "words": [ "touched", "the" ], "source": "train" }, "1905": { "input": "I know a man who Bill saw and Mary liked. [k]", "output": "know", "sentence": "I know a man who Bill saw and Mary liked.", "letter": "k", "words": [ "know" ], "source": "train" }, "1906": { "input": "Fiona must not eat the sauteed candy canes. [t]", "output": "the", "sentence": "Fiona must not eat the sauteed candy canes.", "letter": "t", "words": [ "the" ], "source": "train" }, "1907": { "input": "They kicked themselves [t]", "output": "they themselves", "sentence": "They kicked themselves", "letter": "t", "words": [ "They", "themselves" ], "source": "train" }, "1908": { "input": "He replied that he was happy. [r]", "output": "replied", "sentence": "He replied that he was happy.", "letter": "r", "words": [ "replied" ], "source": "train" }, "1909": { "input": "He intended to will the large amount of money to Frank. 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[g]", "output": "garden", "sentence": "I consider there to be a man in that garden.", "letter": "g", "words": [ "garden" ], "source": "train" }, "1914": { "input": "Every senator becomes more corrupt, the more lobbyists he talks to. [s]", "output": "senator", "sentence": "Every senator becomes more corrupt, the more lobbyists he talks to.", "letter": "s", "words": [ "senator" ], "source": "train" }, "1915": { "input": "Philippa cried her eyes dry. [h]", "output": "her", "sentence": "Philippa cried her eyes dry.", "letter": "h", "words": [ "her" ], "source": "train" }, "1916": { "input": "At most three teachers assigned homework. [a]", "output": "at assigned", "sentence": "At most three teachers assigned homework.", "letter": "a", "words": [ "At", "assigned" ], "source": "train" }, "1917": { "input": "Can he not have been working? [w]", "output": "working", "sentence": "Can he not have been working?", "letter": "w", "words": [ "working" ], "source": "train" }, "1918": { "input": "Do you believe that somebody was looking for something? [y]", "output": "you", "sentence": "Do you believe that somebody was looking for something?", "letter": "y", "words": [ "you" ], "source": "train" }, "1919": { "input": "Mary wants to wear nice blue German dress. [b]", "output": "blue", "sentence": "Mary wants to wear nice blue German dress.", "letter": "b", "words": [ "blue" ], "source": "train" }, "1920": { "input": "John is eager to please Kim. [e]", "output": "eager", "sentence": "John is eager to please Kim.", "letter": "e", "words": [ "eager" ], "source": "train" }, "1921": { "input": "I sent it to you. [i]", "output": "i it", "sentence": "I sent it to you.", "letter": "i", "words": [ "I", "it" ], "source": "train" }, "1922": { "input": "What did you buy at the supermarket? 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[c]", "output": "cupboard", "sentence": "Tom hid the manuscript in the cupboard.", "letter": "c", "words": [ "cupboard" ], "source": "train" }, "1967": { "input": "Sharks could have been cruising near the beach. [n]", "output": "near", "sentence": "Sharks could have been cruising near the beach.", "letter": "n", "words": [ "near" ], "source": "train" }, "1968": { "input": "The bright green filing cabinet was filled to the brim with the most boring articles from a prestigious journal of linguistics with a moderately large readership. [o]", "output": "of", "sentence": "The bright green filing cabinet was filled to the brim with the most boring articles from a prestigious journal of linguistics with a moderately large readership.", "letter": "o", "words": [ "of" ], "source": "train" }, "1969": { "input": "Bill visited Mary. 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[p]", "output": "phineas", "sentence": "Phineas knows a girl who is working with Maxime.", "letter": "p", "words": [ "Phineas" ], "source": "train" }, "2036": { "input": "The Dodgers beat the Red Sox and the Dodgers were beaten by the Giants. [w]", "output": "were", "sentence": "The Dodgers beat the Red Sox and the Dodgers were beaten by the Giants.", "letter": "w", "words": [ "were" ], "source": "train" }, "2037": { "input": "It is very difficult to get an idea for a book simply from an interview. [f]", "output": "for from", "sentence": "It is very difficult to get an idea for a book simply from an interview.", "letter": "f", "words": [ "for", "from" ], "source": "train" }, "2038": { "input": "Brian was wiping the wall behind the stove. [w]", "output": "was wiping wall", "sentence": "Brian was wiping the wall behind the stove.", "letter": "w", "words": [ "was", "wiping", "wall" ], "source": "train" }, "2039": { "input": "She thought it was likely that everyone might fit into the car. 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[s]", "output": "sailing", "sentence": "Who is sailing to Ithaca?", "letter": "s", "words": [ "sailing" ], "source": "train" }, "2053": { "input": "It would not be possible for the president to approve the bill. [b]", "output": "be bill", "sentence": "It would not be possible for the president to approve the bill.", "letter": "b", "words": [ "be", "bill" ], "source": "train" }, "2054": { "input": "The river runs from the lake to the sea. [r]", "output": "river runs", "sentence": "The river runs from the lake to the sea.", "letter": "r", "words": [ "river", "runs" ], "source": "train" }, "2055": { "input": "The butler polished the silver. [p]", "output": "polished", "sentence": "The butler polished the silver.", "letter": "p", "words": [ "polished" ], "source": "train" }, "2056": { "input": "John tries to be easy to get along with. 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[p]", "output": "put", "sentence": "John put the books in a box.", "letter": "p", "words": [ "put" ], "source": "train" }, "2062": { "input": " , will build you a house. [b]", "output": "build", "sentence": " , will build you a house.", "letter": "b", "words": [ "build" ], "source": "train" }, "2063": { "input": "I made it my objective to settle the matter. [i]", "output": "i it", "sentence": "I made it my objective to settle the matter.", "letter": "i", "words": [ "I", "it" ], "source": "train" }, "2064": { "input": "The door hinges squeaked. [t]", "output": "the", "sentence": "The door hinges squeaked.", "letter": "t", "words": [ "The" ], "source": "train" }, "2065": { "input": "I hit the ball. [b]", "output": "ball", "sentence": "I hit the ball.", "letter": "b", "words": [ "ball" ], "source": "train" }, "2066": { "input": "I knew the man with the brown hair. [h]", "output": "hair", "sentence": "I knew the man with the brown hair.", "letter": "h", "words": [ "hair" ], "source": "train" }, "2067": { "input": "I am anxious for you to study English grammar hard. [t]", "output": "to", "sentence": "I am anxious for you to study English grammar hard.", "letter": "t", "words": [ "to" ], "source": "train" }, "2068": { "input": "Students enter high level educational institutions might face many problems relating to study habits. [r]", "output": "relating", "sentence": "Students enter high level educational institutions might face many problems relating to study habits.", "letter": "r", "words": [ "relating" ], "source": "train" }, "2069": { "input": "We called up every man whose father and whose mother had played on the team. [h]", "output": "had", "sentence": "We called up every man whose father and whose mother had played on the team.", "letter": "h", "words": [ "had" ], "source": "train" }, "2070": { "input": "Robert is eager to do his homework. 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[f]", "output": "forest", "sentence": "John tagged the monkey in the forest.", "letter": "f", "words": [ "forest" ], "source": "train" }, "2075": { "input": "The fact that the scientists used the latest technology to verify was reported at the recent conference. [w]", "output": "was", "sentence": "The fact that the scientists used the latest technology to verify was reported at the recent conference.", "letter": "w", "words": [ "was" ], "source": "train" }, "2076": { "input": "The outcome depends on how many candidates participate in the election. [o]", "output": "outcome on", "sentence": "The outcome depends on how many candidates participate in the election.", "letter": "o", "words": [ "outcome", "on" ], "source": "train" }, "2077": { "input": "That the cops spoke to the janitor about it yesterday, that robbery, is terrible. 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[o]", "output": "of", "sentence": "I am fond of circus performers.", "letter": "o", "words": [ "of" ], "source": "train" }, "2094": { "input": "Their teaching material is what we are using. [t]", "output": "their teaching", "sentence": "Their teaching material is what we are using.", "letter": "t", "words": [ "Their", "teaching" ], "source": "train" }, "2095": { "input": "Almost any lawyer could answer that question. [t]", "output": "that", "sentence": "Almost any lawyer could answer that question.", "letter": "t", "words": [ "that" ], "source": "train" }, "2096": { "input": "John is more embarrassed, the more pictures of himself that appear in the news. [p]", "output": "pictures", "sentence": "John is more embarrassed, the more pictures of himself that appear in the news.", "letter": "p", "words": [ "pictures" ], "source": "train" }, "2097": { "input": "Which pictures of him did Earl see? 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[c]", "output": "captain", "sentence": "The captain sank the boat.", "letter": "c", "words": [ "captain" ], "source": "train" }, "2103": { "input": "Some sentences can go on and on and on. [c]", "output": "can", "sentence": "Some sentences can go on and on and on.", "letter": "c", "words": [ "can" ], "source": "train" }, "2104": { "input": "I sang a song with Mary while you did so with Bill. [s]", "output": "sang song so", "sentence": "I sang a song with Mary while you did so with Bill.", "letter": "s", "words": [ "sang", "song", "so" ], "source": "train" }, "2105": { "input": "Half of the year be dark and wintry. [a]", "output": "and", "sentence": "Half of the year be dark and wintry.", "letter": "a", "words": [ "and" ], "source": "train" }, "2106": { "input": "I dried the clothes in the sun. [d]", "output": "dried", "sentence": "I dried the clothes in the sun.", "letter": "d", "words": [ "dried" ], "source": "train" }, "2107": { "input": "I see stars. 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[s]", "output": "sandy sang song", "sentence": "Sandy sang a song for me.", "letter": "s", "words": [ "Sandy", "sang", "song" ], "source": "train" }, "2133": { "input": "I am ashamed that I neglected you. [t]", "output": "that", "sentence": "I am ashamed that I neglected you.", "letter": "t", "words": [ "that" ], "source": "train" }, "2134": { "input": "John knows that she left and whether she will come back. [j]", "output": "john", "sentence": "John knows that she left and whether she will come back.", "letter": "j", "words": [ "John" ], "source": "train" }, "2135": { "input": "The chocolate melted onto the carpet. [c]", "output": "chocolate carpet", "sentence": "The chocolate melted onto the carpet.", "letter": "c", "words": [ "chocolate", "carpet" ], "source": "train" }, "2136": { "input": "People are in the garden [t]", "output": "the", "sentence": "People are in the garden", "letter": "t", "words": [ "the" ], "source": "train" }, "2137": { "input": "Barbara handed them to Alan on Tuesday. [t]", "output": "them to tuesday", "sentence": "Barbara handed them to Alan on Tuesday.", "letter": "t", "words": [ "them", "to", "Tuesday" ], "source": "train" }, "2138": { "input": "He seems intelligent enough for you. [e]", "output": "enough", "sentence": "He seems intelligent enough for you.", "letter": "e", "words": [ "enough" ], "source": "train" }, "2139": { "input": "John will endorse the treaty, but Georges will not endorse the treaty. [j]", "output": "john", "sentence": "John will endorse the treaty, but Georges will not endorse the treaty.", "letter": "j", "words": [ "John" ], "source": "train" }, "2140": { "input": "Jeff must not have eaten the deep fried muffin. [j]", "output": "jeff", "sentence": "Jeff must not have eaten the deep fried muffin.", "letter": "j", "words": [ "Jeff" ], "source": "train" }, "2141": { "input": "These documents Elizabeth is checking at this very moment. [m]", "output": "moment", "sentence": "These documents Elizabeth is checking at this very moment.", "letter": "m", "words": [ "moment" ], "source": "train" }, "2142": { "input": "Know yourself! [y]", "output": "yourself", "sentence": "Know yourself!", "letter": "y", "words": [ "yourself" ], "source": "train" }, "2143": { "input": "John asks which book by his father he read. [w]", "output": "which", "sentence": "John asks which book by his father he read.", "letter": "w", "words": [ "which" ], "source": "train" }, "2144": { "input": "They represented Mary to the dean as a genuine linguist. [d]", "output": "dean", "sentence": "They represented Mary to the dean as a genuine linguist.", "letter": "d", "words": [ "dean" ], "source": "train" }, "2145": { "input": "What Jason asked was whether the potion was ready [r]", "output": "ready", "sentence": "What Jason asked was whether the potion was ready", "letter": "r", "words": [ "ready" ], "source": "train" }, "2146": { "input": "Alison poked the cloth with a needle. 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[i]", "output": "i", "sentence": "I mixed the eggs with cream.", "letter": "i", "words": [ "I" ], "source": "train" }, "2151": { "input": "For you to do that would be a mistake. [w]", "output": "would", "sentence": "For you to do that would be a mistake.", "letter": "w", "words": [ "would" ], "source": "train" }, "2152": { "input": "Jack may be and Tony certainly is a werewolf. [w]", "output": "werewolf", "sentence": "Jack may be and Tony certainly is a werewolf.", "letter": "w", "words": [ "werewolf" ], "source": "train" }, "2153": { "input": "I know I bought the book that you recommended. [r]", "output": "recommended", "sentence": "I know I bought the book that you recommended.", "letter": "r", "words": [ "recommended" ], "source": "train" }, "2154": { "input": "Sally might be pregnant, and I know a girl who definitely is pregnant. [w]", "output": "who", "sentence": "Sally might be pregnant, and I know a girl who definitely is pregnant.", "letter": "w", "words": [ "who" ], "source": "train" }, "2155": { "input": "It is your notes that John wants to look at after class. [w]", "output": "wants", "sentence": "It is your notes that John wants to look at after class.", "letter": "w", "words": [ "wants" ], "source": "train" }, "2156": { "input": "They were believed all to be quite diligent. [a]", "output": "all", "sentence": "They were believed all to be quite diligent.", "letter": "a", "words": [ "all" ], "source": "train" }, "2157": { "input": "I saw the brilliant one. [t]", "output": "the", "sentence": "I saw the brilliant one.", "letter": "t", "words": [ "the" ], "source": "train" }, "2158": { "input": "Pictures of himself always disturb Milo. [o]", "output": "of", "sentence": "Pictures of himself always disturb Milo.", "letter": "o", "words": [ "of" ], "source": "train" }, "2159": { "input": "Josh gave Clay a book carefully. [c]", "output": "clay carefully", "sentence": "Josh gave Clay a book carefully.", "letter": "c", "words": [ "Clay", "carefully" ], "source": "train" }, "2160": { "input": "Julia and Maria wanted to be allowed to perform a play. [a]", "output": "and allowed a", "sentence": "Julia and Maria wanted to be allowed to perform a play.", "letter": "a", "words": [ "and", "allowed", "a" ], "source": "train" }, "2161": { "input": "A big green insect flew into the soup. [f]", "output": "flew", "sentence": "A big green insect flew into the soup.", "letter": "f", "words": [ "flew" ], "source": "train" }, "2162": { "input": "They confined his remarks to the matter under discussion. [m]", "output": "matter", "sentence": "They confined his remarks to the matter under discussion.", "letter": "m", "words": [ "matter" ], "source": "train" }, "2163": { "input": "Susan begged to be allowed to sing in the concert. [a]", "output": "allowed", "sentence": "Susan begged to be allowed to sing in the concert.", "letter": "a", "words": [ "allowed" ], "source": "train" }, "2164": { "input": "For the girl to put a picture there would surprise you. [g]", "output": "girl", "sentence": "For the girl to put a picture there would surprise you.", "letter": "g", "words": [ "girl" ], "source": "train" }, "2165": { "input": "Water bubbled out of the kettle. [b]", "output": "bubbled", "sentence": "Water bubbled out of the kettle.", "letter": "b", "words": [ "bubbled" ], "source": "train" }, "2166": { "input": "What does John think Mary bought? [b]", "output": "bought", "sentence": "What does John think Mary bought?", "letter": "b", "words": [ "bought" ], "source": "train" }, "2167": { "input": "That Patrick left is likely. [i]", "output": "is", "sentence": "That Patrick left is likely.", "letter": "i", "words": [ "is" ], "source": "train" }, "2168": { "input": "Benjamin gave the cloak and sent the book to Lee [g]", "output": "gave", "sentence": "Benjamin gave the cloak and sent the book to Lee", "letter": "g", "words": [ "gave" ], "source": "train" }, "2169": { "input": "We found out that very lucrative jobs were in jeopardy. [v]", "output": "very", "sentence": "We found out that very lucrative jobs were in jeopardy.", "letter": "v", "words": [ "very" ], "source": "train" }, "2170": { "input": "The stream crawls through the valley. [s]", "output": "stream", "sentence": "The stream crawls through the valley.", "letter": "s", "words": [ "stream" ], "source": "train" }, "2171": { "input": "I would like for John to win. [l]", "output": "like", "sentence": "I would like for John to win.", "letter": "l", "words": [ "like" ], "source": "train" }, "2172": { "input": "Heather cabled for Sara to come. [c]", "output": "cabled come", "sentence": "Heather cabled for Sara to come.", "letter": "c", "words": [ "cabled", "come" ], "source": "train" }, "2173": { "input": "He told her the whole story. [t]", "output": "told the", "sentence": "He told her the whole story.", "letter": "t", "words": [ "told", "the" ], "source": "train" }, "2174": { "input": "John felt proud that his son won the game. [w]", "output": "won", "sentence": "John felt proud that his son won the game.", "letter": "w", "words": [ "won" ], "source": "train" }, "2175": { "input": "The sign warned against skating on the pond. [a]", "output": "against", "sentence": "The sign warned against skating on the pond.", "letter": "a", "words": [ "against" ], "source": "train" }, "2176": { "input": "John is as tall as that man. [i]", "output": "is", "sentence": "John is as tall as that man.", "letter": "i", "words": [ "is" ], "source": "train" }, "2177": { "input": "The contract is subject to approval by my committee. [i]", "output": "is", "sentence": "The contract is subject to approval by my committee.", "letter": "i", "words": [ "is" ], "source": "train" }, "2178": { "input": "The big man from New York loves bagels with cream cheese. [w]", "output": "with", "sentence": "The big man from New York loves bagels with cream cheese.", "letter": "w", "words": [ "with" ], "source": "train" }, "2179": { "input": "Which celebrity did he mention that he had run into? [t]", "output": "that", "sentence": "Which celebrity did he mention that he had run into?", "letter": "t", "words": [ "that" ], "source": "train" }, "2180": { "input": "Alex was eating the popsicle. [w]", "output": "was", "sentence": "Alex was eating the popsicle.", "letter": "w", "words": [ "was" ], "source": "train" }, "2181": { "input": "The scenes to which the censors took objection had to do with the mixed marriage of a woman and a giant panda. [w]", "output": "which with woman", "sentence": "The scenes to which the censors took objection had to do with the mixed marriage of a woman and a giant panda.", "letter": "w", "words": [ "which", "with", "woman" ], "source": "train" }, "2182": { "input": "the book of poems with a red cover and with a blue spine takes a very long time to read. [c]", "output": "cover", "sentence": "the book of poems with a red cover and with a blue spine takes a very long time to read.", "letter": "c", "words": [ "cover" ], "source": "train" }, "2183": { "input": "Acknowledge that everyone has limits. [e]", "output": "everyone", "sentence": "Acknowledge that everyone has limits.", "letter": "e", "words": [ "everyone" ], "source": "train" }, "2184": { "input": "I asked what John kissed. [i]", "output": "i", "sentence": "I asked what John kissed.", "letter": "i", "words": [ "I" ], "source": "train" }, "2185": { "input": "Tonight, what Bob cooked yesterday still tastes good, so tonight it will be eaten up. [c]", "output": "cooked", "sentence": "Tonight, what Bob cooked yesterday still tastes good, so tonight it will be eaten up.", "letter": "c", "words": [ "cooked" ], "source": "train" }, "2186": { "input": "One of the most serious problems that some students have be lack of motivation. [h]", "output": "have", "sentence": "One of the most serious problems that some students have be lack of motivation.", "letter": "h", "words": [ "have" ], "source": "train" }, "2187": { "input": "Adam asked if Hyacinth likes pineapples. [i]", "output": "if", "sentence": "Adam asked if Hyacinth likes pineapples.", "letter": "i", "words": [ "if" ], "source": "train" }, "2188": { "input": "Which city does Fred think that you believe that John lives in? [c]", "output": "city", "sentence": "Which city does Fred think that you believe that John lives in?", "letter": "c", "words": [ "city" ], "source": "train" }, "2189": { "input": "Nora pushed on the chair. [c]", "output": "chair", "sentence": "Nora pushed on the chair.", "letter": "c", "words": [ "chair" ], "source": "train" }, "2190": { "input": "He I often sees Mary. [h]", "output": "he", "sentence": "He I often sees Mary.", "letter": "h", "words": [ "He" ], "source": "train" }, "2191": { "input": "John has chosen Bill for the position. [f]", "output": "for", "sentence": "John has chosen Bill for the position.", "letter": "f", "words": [ "for" ], "source": "train" }, "2192": { "input": "John has been taken to the library. [b]", "output": "been", "sentence": "John has been taken to the library.", "letter": "b", "words": [ "been" ], "source": "train" }, "2193": { "input": "Paul had eighty eight billion sixty three million forty four thousand nine hundred at [n]", "output": "nine", "sentence": "Paul had eighty eight billion sixty three million forty four thousand nine hundred at", "letter": "n", "words": [ "nine" ], "source": "train" }, "2194": { "input": "The big man from New York loves bagels with cream cheese. [m]", "output": "man", "sentence": "The big man from New York loves bagels with cream cheese.", "letter": "m", "words": [ "man" ], "source": "train" }, "2195": { "input": "I have getting into college to consider. [c]", "output": "college consider", "sentence": "I have getting into college to consider.", "letter": "c", "words": [ "college", "consider" ], "source": "train" }, "2196": { "input": "Who did John think that Bill claimed that Mary suspected that everybody liked? [w]", "output": "who", "sentence": "Who did John think that Bill claimed that Mary suspected that everybody liked?", "letter": "w", "words": [ "Who" ], "source": "train" }, "2197": { "input": "There is a riot in the park. [t]", "output": "there the", "sentence": "There is a riot in the park.", "letter": "t", "words": [ "There", "the" ], "source": "train" }, "2198": { "input": "John believes himself to be proud of Mary. [m]", "output": "mary", "sentence": "John believes himself to be proud of Mary.", "letter": "m", "words": [ "Mary" ], "source": "train" }, "2199": { "input": "It is tough to teach syntax. [i]", "output": "it is", "sentence": "It is tough to teach syntax.", "letter": "i", "words": [ "It", "is" ], "source": "train" }, "2200": { "input": "Sue moved, and Mary also transferred, her business to a different location. [m]", "output": "moved mary", "sentence": "Sue moved, and Mary also transferred, her business to a different location.", "letter": "m", "words": [ "moved", "Mary" ], "source": "train" }, "2201": { "input": "I have wanted to meet the man who spent so much money planning the assassination of Kennedy for many years. [k]", "output": "kennedy", "sentence": "I have wanted to meet the man who spent so much money planning the assassination of Kennedy for many years.", "letter": "k", "words": [ "Kennedy" ], "source": "train" }, "2202": { "input": "Was the child in the school? [c]", "output": "child", "sentence": "Was the child in the school?", "letter": "c", "words": [ "child" ], "source": "train" }, "2203": { "input": "It appears to be true that Harry likes girls. [i]", "output": "it", "sentence": "It appears to be true that Harry likes girls.", "letter": "i", "words": [ "It" ], "source": "train" }, "2204": { "input": "John learned French perfectly immediately. [p]", "output": "perfectly", "sentence": "John learned French perfectly immediately.", "letter": "p", "words": [ "perfectly" ], "source": "train" }, "2205": { "input": "Which pictures of himself did Chris like? [w]", "output": "which", "sentence": "Which pictures of himself did Chris like?", "letter": "w", "words": [ "Which" ], "source": "train" }, "2206": { "input": "Leigh swaddled the baby with blankets. [b]", "output": "baby blankets", "sentence": "Leigh swaddled the baby with blankets.", "letter": "b", "words": [ "baby", "blankets" ], "source": "train" }, "2207": { "input": "June covered the baby with a blanket. [t]", "output": "the", "sentence": "June covered the baby with a blanket.", "letter": "t", "words": [ "the" ], "source": "train" }, "2208": { "input": "Rosemary tried to get a new car. [r]", "output": "rosemary", "sentence": "Rosemary tried to get a new car.", "letter": "r", "words": [ "Rosemary" ], "source": "train" }, "2209": { "input": "John made Mary cook Korean food. [m]", "output": "made mary", "sentence": "John made Mary cook Korean food.", "letter": "m", "words": [ "made", "Mary" ], "source": "train" }, "2210": { "input": "Alison ran [r]", "output": "ran", "sentence": "Alison ran", "letter": "r", "words": [ "ran" ], "source": "train" }, "2211": { "input": "Shannon left quietly every day. [d]", "output": "day", "sentence": "Shannon left quietly every day.", "letter": "d", "words": [ "day" ], "source": "train" }, "2212": { "input": "Benjamin gave the cloak to Lee. [b]", "output": "benjamin", "sentence": "Benjamin gave the cloak to Lee.", "letter": "b", "words": [ "Benjamin" ], "source": "train" }, "2213": { "input": "The new tax laws will benefit the middle class. [l]", "output": "laws", "sentence": "The new tax laws will benefit the middle class.", "letter": "l", "words": [ "laws" ], "source": "train" }, "2214": { "input": "We persuaded the dentist to examine us. [w]", "output": "we", "sentence": "We persuaded the dentist to examine us.", "letter": "w", "words": [ "We" ], "source": "train" }, "2215": { "input": "The ball rolled into the gutter. [b]", "output": "ball", "sentence": "The ball rolled into the gutter.", "letter": "b", "words": [ "ball" ], "source": "train" }, "2216": { "input": "If you give him enough opportunity, every senator will succumb to corruption. [t]", "output": "to", "sentence": "If you give him enough opportunity, every senator will succumb to corruption.", "letter": "t", "words": [ "to" ], "source": "train" }, "2217": { "input": "Alex read the newspaper for an hour. [a]", "output": "alex an", "sentence": "Alex read the newspaper for an hour.", "letter": "a", "words": [ "Alex", "an" ], "source": "train" }, "2218": { "input": "Mary saw the tall man come from the back. [s]", "output": "saw", "sentence": "Mary saw the tall man come from the back.", "letter": "s", "words": [ "saw" ], "source": "train" }, "2219": { "input": "Sally might be pregnant, and everyone believes Sheila definitely is pregnant. [i]", "output": "is", "sentence": "Sally might be pregnant, and everyone believes Sheila definitely is pregnant.", "letter": "i", "words": [ "is" ], "source": "train" }, "2220": { "input": "Felicia kicked the ball out the window. [k]", "output": "kicked", "sentence": "Felicia kicked the ball out the window.", "letter": "k", "words": [ "kicked" ], "source": "train" }, "2221": { "input": "The bartender gave John some good beers. [j]", "output": "john", "sentence": "The bartender gave John some good beers.", "letter": "j", "words": [ "John" ], "source": "train" }, "2222": { "input": "Richard is going to chop some wood. [c]", "output": "chop", "sentence": "Richard is going to chop some wood.", "letter": "c", "words": [ "chop" ], "source": "train" }, "2223": { "input": "An owl hunts mice. [h]", "output": "hunts", "sentence": "An owl hunts mice.", "letter": "h", "words": [ "hunts" ], "source": "train" }, "2224": { "input": "Susan whispered for me to come. [s]", "output": "susan", "sentence": "Susan whispered for me to come.", "letter": "s", "words": [ "Susan" ], "source": "train" }, "2225": { "input": "A lion is usually majestic. [u]", "output": "usually", "sentence": "A lion is usually majestic.", "letter": "u", "words": [ "usually" ], "source": "train" }, "2226": { "input": "We believed him to be the headmaster [w]", "output": "we", "sentence": "We believed him to be the headmaster", "letter": "w", "words": [ "We" ], "source": "train" }, "2227": { "input": "The mother of the boy and the girl are arriving soon. [s]", "output": "soon", "sentence": "The mother of the boy and the girl are arriving soon.", "letter": "s", "words": [ "soon" ], "source": "train" }, "2228": { "input": "John talked to a woman. [j]", "output": "john", "sentence": "John talked to a woman.", "letter": "j", "words": [ "John" ], "source": "train" }, "2229": { "input": "The little cat devoured a mouse last night. [t]", "output": "the", "sentence": "The little cat devoured a mouse last night.", "letter": "t", "words": [ "The" ], "source": "train" }, "2230": { "input": "The lax supervision was taken advantage of. [t]", "output": "the taken", "sentence": "The lax supervision was taken advantage of.", "letter": "t", "words": [ "The", "taken" ], "source": "train" }, "2231": { "input": "Such a scholar as you were speaking of just now is here. [s]", "output": "such scholar speaking", "sentence": "Such a scholar as you were speaking of just now is here.", "letter": "s", "words": [ "Such", "scholar", "speaking" ], "source": "train" }, "2232": { "input": "The cat had been eating. [e]", "output": "eating", "sentence": "The cat had been eating.", "letter": "e", "words": [ "eating" ], "source": "train" }, "2233": { "input": "This boy must not go to school, and his father must not go to school either. [a]", "output": "and", "sentence": "This boy must not go to school, and his father must not go to school either.", "letter": "a", "words": [ "and" ], "source": "train" }, "2234": { "input": "Sally eats caviar more than I had expected. [h]", "output": "had", "sentence": "Sally eats caviar more than I had expected.", "letter": "h", "words": [ "had" ], "source": "train" }, "2235": { "input": "I owe my acquittal to you. [o]", "output": "owe", "sentence": "I owe my acquittal to you.", "letter": "o", "words": [ "owe" ], "source": "train" }, "2236": { "input": "Jim will go if he feels good. [i]", "output": "if", "sentence": "Jim will go if he feels good.", "letter": "i", "words": [ "if" ], "source": "train" }, "2237": { "input": "Which city and which conference did Bill go to? [t]", "output": "to", "sentence": "Which city and which conference did Bill go to?", "letter": "t", "words": [ "to" ], "source": "train" }, "2238": { "input": "Lora buttered the toast with unsalted butter. [w]", "output": "with", "sentence": "Lora buttered the toast with unsalted butter.", "letter": "w", "words": [ "with" ], "source": "train" }, "2239": { "input": "I believed these students to all like John. [s]", "output": "students", "sentence": "I believed these students to all like John.", "letter": "s", "words": [ "students" ], "source": "train" }, "2240": { "input": "Who do you think will question Seamus first? [q]", "output": "question", "sentence": "Who do you think will question Seamus first?", "letter": "q", "words": [ "question" ], "source": "train" }, "2241": { "input": "Yes, she will. [y]", "output": "yes", "sentence": "Yes, she will.", "letter": "y", "words": [ "Yes" ], "source": "train" }, "2242": { "input": "Jackie chased after the thief. [a]", "output": "after", "sentence": "Jackie chased after the thief.", "letter": "a", "words": [ "after" ], "source": "train" }, "2243": { "input": "Each student speaks two languages. [t]", "output": "two", "sentence": "Each student speaks two languages.", "letter": "t", "words": [ "two" ], "source": "train" }, "2244": { "input": "Carol cut the bread with a knife. [c]", "output": "carol cut", "sentence": "Carol cut the bread with a knife.", "letter": "c", "words": [ "Carol", "cut" ], "source": "train" }, "2245": { "input": "I gave a birthday present to my brother. [i]", "output": "i", "sentence": "I gave a birthday present to my brother.", "letter": "i", "words": [ "I" ], "source": "train" }, "2246": { "input": "John talked to any woman who came up to him. [h]", "output": "him", "sentence": "John talked to any woman who came up to him.", "letter": "h", "words": [ "him" ], "source": "train" }, "2247": { "input": "Who are you trying to get hold of? [t]", "output": "trying to", "sentence": "Who are you trying to get hold of?", "letter": "t", "words": [ "trying", "to" ], "source": "train" }, "2248": { "input": "All students believe anything that many teachers say. [s]", "output": "students say", "sentence": "All students believe anything that many teachers say.", "letter": "s", "words": [ "students", "say" ], "source": "train" }, "2249": { "input": "Mickey pointed out that Gary had left. [p]", "output": "pointed", "sentence": "Mickey pointed out that Gary had left.", "letter": "p", "words": [ "pointed" ], "source": "train" }, "2250": { "input": "The mother of the boy and the girl is arriving soon. [m]", "output": "mother", "sentence": "The mother of the boy and the girl is arriving soon.", "letter": "m", "words": [ "mother" ], "source": "train" }, "2251": { "input": "David constructed a house from bricks. [d]", "output": "david", "sentence": "David constructed a house from bricks.", "letter": "d", "words": [ "David" ], "source": "train" }, "2252": { "input": "How carelessly have you picked up TNT? [c]", "output": "carelessly", "sentence": "How carelessly have you picked up TNT?", "letter": "c", "words": [ "carelessly" ], "source": "train" }, "2253": { "input": "The more that pictures of himself appear in the news, the more embarrassed John becomes. [p]", "output": "pictures", "sentence": "The more that pictures of himself appear in the news, the more embarrassed John becomes.", "letter": "p", "words": [ "pictures" ], "source": "train" }, "2254": { "input": "Once Janet left, Fred became much crazier. [b]", "output": "became", "sentence": "Once Janet left, Fred became much crazier.", "letter": "b", "words": [ "became" ], "source": "train" }, "2255": { "input": "He repeated his claim that the people backed his action. [a]", "output": "action", "sentence": "He repeated his claim that the people backed his action.", "letter": "a", "words": [ "action" ], "source": "train" }, "2256": { "input": "Humans love to eat the old pigs. [l]", "output": "love", "sentence": "Humans love to eat the old pigs.", "letter": "l", "words": [ "love" ], "source": "train" }, "2257": { "input": "Mary sang for anyone who wanted to hear her. [a]", "output": "anyone", "sentence": "Mary sang for anyone who wanted to hear her.", "letter": "a", "words": [ "anyone" ], "source": "train" }, "2258": { "input": "These are the things for which to be thankful. [a]", "output": "are", "sentence": "These are the things for which to be thankful.", "letter": "a", "words": [ "are" ], "source": "train" }, "2259": { "input": "The ball, a man kicked. [a]", "output": "a", "sentence": "The ball, a man kicked.", "letter": "a", "words": [ "a" ], "source": "train" }, "2260": { "input": "To behave oneself in public is expected. [i]", "output": "in is", "sentence": "To behave oneself in public is expected.", "letter": "i", "words": [ "in", "is" ], "source": "train" }, "2261": { "input": "The two boys looked up the high stairs from the floor. [f]", "output": "from floor", "sentence": "The two boys looked up the high stairs from the floor.", "letter": "f", "words": [ "from", "floor" ], "source": "train" }, "2262": { "input": "John is prouder of having gone than I expected you to believe he would be of not having fallen asleep. [j]", "output": "john", "sentence": "John is prouder of having gone than I expected you to believe he would be of not having fallen asleep.", "letter": "j", "words": [ "John" ], "source": "train" }, "2263": { "input": "Which book about herself did Jenny say that Anson had written. [w]", "output": "which written", "sentence": "Which book about herself did Jenny say that Anson had written.", "letter": "w", "words": [ "Which", "written" ], "source": "train" }, "2264": { "input": "He made a statement which everyone thought was really interesting and important. [t]", "output": "thought", "sentence": "He made a statement which everyone thought was really interesting and important.", "letter": "t", "words": [ "thought" ], "source": "train" }, "2265": { "input": "Do you think that he sometimes went there alone? [w]", "output": "went", "sentence": "Do you think that he sometimes went there alone?", "letter": "w", "words": [ "went" ], "source": "train" }, "2266": { "input": "I have wanted to know exactly what happened to Rosa Luxemburg for many years. [l]", "output": "luxemburg", "sentence": "I have wanted to know exactly what happened to Rosa Luxemburg for many years.", "letter": "l", "words": [ "Luxemburg" ], "source": "train" }, "2267": { "input": "Would the horse budge if you pushed? [y]", "output": "you", "sentence": "Would the horse budge if you pushed?", "letter": "y", "words": [ "you" ], "source": "train" }, "2268": { "input": "What did you put in your box? [b]", "output": "box", "sentence": "What did you put in your box?", "letter": "b", "words": [ "box" ], "source": "train" }, "2269": { "input": "The men would not all have been working. [a]", "output": "all", "sentence": "The men would not all have been working.", "letter": "a", "words": [ "all" ], "source": "train" }, "2270": { "input": "liked ice cream. [i]", "output": "ice", "sentence": "liked ice cream.", "letter": "i", "words": [ "ice" ], "source": "train" }, "2271": { "input": "I just know that the Big South teams everyone knew would win actually won the game. [s]", "output": "south", "sentence": "I just know that the Big South teams everyone knew would win actually won the game.", "letter": "s", "words": [ "South" ], "source": "train" }, "2272": { "input": "Too many vehicles are damaged by salt. [d]", "output": "damaged", "sentence": "Too many vehicles are damaged by salt.", "letter": "d", "words": [ "damaged" ], "source": "train" }, "2273": { "input": "John is easy to please and to love. [i]", "output": "is", "sentence": "John is easy to please and to love.", "letter": "i", "words": [ "is" ], "source": "train" }, "2274": { "input": "For him to win the race would surprise them. [h]", "output": "him", "sentence": "For him to win the race would surprise them.", "letter": "h", "words": [ "him" ], "source": "train" }, "2275": { "input": "I separated the cream from the milk. [c]", "output": "cream", "sentence": "I separated the cream from the milk.", "letter": "c", "words": [ "cream" ], "source": "train" }, "2276": { "input": "The pudding which the man who ordered ice cream said would be tasty was a horror show. [w]", "output": "which who would was", "sentence": "The pudding which the man who ordered ice cream said would be tasty was a horror show.", "letter": "w", "words": [ "which", "who", "would", "was" ], "source": "train" }, "2277": { "input": "The car will have been being driven. [c]", "output": "car", "sentence": "The car will have been being driven.", "letter": "c", "words": [ "car" ], "source": "train" }, "2278": { "input": "Calvin admired himself in the mirror. [c]", "output": "calvin", "sentence": "Calvin admired himself in the mirror.", "letter": "c", "words": [ "Calvin" ], "source": "train" }, "2279": { "input": "We offered her a job. [o]", "output": "offered", "sentence": "We offered her a job.", "letter": "o", "words": [ "offered" ], "source": "train" }, "2280": { "input": "Mary gets depressed when she listens to the Grateful Dead. [m]", "output": "mary", "sentence": "Mary gets depressed when she listens to the Grateful Dead.", "letter": "m", "words": [ "Mary" ], "source": "train" }, "2281": { "input": "The sign warned us against skating on the pond. [a]", "output": "against", "sentence": "The sign warned us against skating on the pond.", "letter": "a", "words": [ "against" ], "source": "train" }, "2282": { "input": "John is said to be rich. [r]", "output": "rich", "sentence": "John is said to be rich.", "letter": "r", "words": [ "rich" ], "source": "train" }, "2283": { "input": "It occurred to Pat that Chris knew the answer. [a]", "output": "answer", "sentence": "It occurred to Pat that Chris knew the answer.", "letter": "a", "words": [ "answer" ], "source": "train" }, "2284": { "input": "John will leave the party earlier. [w]", "output": "will", "sentence": "John will leave the party earlier.", "letter": "w", "words": [ "will" ], "source": "train" }, "2285": { "input": "Nora pushed the chair. [p]", "output": "pushed", "sentence": "Nora pushed the chair.", "letter": "p", "words": [ "pushed" ], "source": "train" }, "2286": { "input": "Some branches broke off of the tree. [s]", "output": "some", "sentence": "Some branches broke off of the tree.", "letter": "s", "words": [ "Some" ], "source": "train" }, "2287": { "input": "The bandits murdered innocent victims. [b]", "output": "bandits", "sentence": "The bandits murdered innocent victims.", "letter": "b", "words": [ "bandits" ], "source": "train" }, "2288": { "input": "John is no more reliable a fellow than Bill. [i]", "output": "is", "sentence": "John is no more reliable a fellow than Bill.", "letter": "i", "words": [ "is" ], "source": "train" }, "2289": { "input": "Nora brought Pamela the book. [n]", "output": "nora", "sentence": "Nora brought Pamela the book.", "letter": "n", "words": [ "Nora" ], "source": "train" }, "2290": { "input": "Have you ever visited Doubtful Sound? [s]", "output": "sound", "sentence": "Have you ever visited Doubtful Sound?", "letter": "s", "words": [ "Sound" ], "source": "train" }, "2291": { "input": "Bill had an accident. [h]", "output": "had", "sentence": "Bill had an accident.", "letter": "h", "words": [ "had" ], "source": "train" }, "2292": { "input": "I am not certain about when he will come. [i]", "output": "i", "sentence": "I am not certain about when he will come.", "letter": "i", "words": [ "I" ], "source": "train" }, "2293": { "input": "John wiped the window with a towel. [j]", "output": "john", "sentence": "John wiped the window with a towel.", "letter": "j", "words": [ "John" ], "source": "train" }, "2294": { "input": "Carol carved the stone with a chisel. [t]", "output": "the", "sentence": "Carol carved the stone with a chisel.", "letter": "t", "words": [ "the" ], "source": "train" }, "2295": { "input": "The students are proud of themselves. [a]", "output": "are", "sentence": "The students are proud of themselves.", "letter": "a", "words": [ "are" ], "source": "train" }, "2296": { "input": "Tony bent the copper rod. [r]", "output": "rod", "sentence": "Tony bent the copper rod.", "letter": "r", "words": [ "rod" ], "source": "train" }, "2297": { "input": "John is the kind of the fool that I told you about. [o]", "output": "of", "sentence": "John is the kind of the fool that I told you about.", "letter": "o", "words": [ "of" ], "source": "train" }, "2298": { "input": "Which celebrity did he mention that he had run into? [w]", "output": "which", "sentence": "Which celebrity did he mention that he had run into?", "letter": "w", "words": [ "Which" ], "source": "train" }, "2299": { "input": "Mickey looked up them. [u]", "output": "up", "sentence": "Mickey looked up them.", "letter": "u", "words": [ "up" ], "source": "train" }, "2300": { "input": "I mailed the sweater to Mary. [m]", "output": "mailed mary", "sentence": "I mailed the sweater to Mary.", "letter": "m", "words": [ "mailed", "Mary" ], "source": "train" }, "2301": { "input": "Medea was happy, because she had got the highest marks [b]", "output": "because", "sentence": "Medea was happy, because she had got the highest marks", "letter": "b", "words": [ "because" ], "source": "train" }, "2302": { "input": "This scratch will cost Kim to fix. [w]", "output": "will", "sentence": "This scratch will cost Kim to fix.", "letter": "w", "words": [ "will" ], "source": "train" }, "2303": { "input": "He muttered that the visitors will leave. [t]", "output": "that the", "sentence": "He muttered that the visitors will leave.", "letter": "t", "words": [ "that", "the" ], "source": "train" }, "2304": { "input": "Joe is taller than I think Mary is. [j]", "output": "joe", "sentence": "Joe is taller than I think Mary is.", "letter": "j", "words": [ "Joe" ], "source": "train" }, "2305": { "input": "You can lead a horse to water but will it drink? [h]", "output": "horse", "sentence": "You can lead a horse to water but will it drink?", "letter": "h", "words": [ "horse" ], "source": "train" }, "2306": { "input": "The river was avoided by the rolling stone. [b]", "output": "by", "sentence": "The river was avoided by the rolling stone.", "letter": "b", "words": [ "by" ], "source": "train" }, "2307": { "input": "Harriet talked to Emma for hours. [f]", "output": "for", "sentence": "Harriet talked to Emma for hours.", "letter": "f", "words": [ "for" ], "source": "train" }, "2308": { "input": "Fred gave flowers to his sweetie because Frank had. [s]", "output": "sweetie", "sentence": "Fred gave flowers to his sweetie because Frank had.", "letter": "s", "words": [ "sweetie" ], "source": "train" }, "2309": { "input": "Which report that John revised did he submit? [t]", "output": "that", "sentence": "Which report that John revised did he submit?", "letter": "t", "words": [ "that" ], "source": "train" }, "2310": { "input": "It hung on the wall. [w]", "output": "wall", "sentence": "It hung on the wall.", "letter": "w", "words": [ "wall" ], "source": "train" }, "2311": { "input": "In the aquarium swam a striped fish. [s]", "output": "swam striped", "sentence": "In the aquarium swam a striped fish.", "letter": "s", "words": [ "swam", "striped" ], "source": "train" }, "2312": { "input": "Everyone hopes to sleep. [t]", "output": "to", "sentence": "Everyone hopes to sleep.", "letter": "t", "words": [ "to" ], "source": "train" }, "2313": { "input": "Intelligent though he may seem, he does not seem deep. [i]", "output": "intelligent", "sentence": "Intelligent though he may seem, he does not seem deep.", "letter": "i", "words": [ "Intelligent" ], "source": "train" }, "2314": { "input": "Could they have left? [l]", "output": "left", "sentence": "Could they have left?", "letter": "l", "words": [ "left" ], "source": "train" }, "2315": { "input": "Edmund wanted Fanny to be able to ride a horse. [a]", "output": "able a", "sentence": "Edmund wanted Fanny to be able to ride a horse.", "letter": "a", "words": [ "able", "a" ], "source": "train" }, "2316": { "input": "This is the box in which John put his gold. [w]", "output": "which", "sentence": "This is the box in which John put his gold.", "letter": "w", "words": [ "which" ], "source": "train" }, "2317": { "input": "John said Martha sang the aria with gusto. [t]", "output": "the", "sentence": "John said Martha sang the aria with gusto.", "letter": "t", "words": [ "the" ], "source": "train" }, "2318": { "input": "The three sunbathers went swimming. [s]", "output": "sunbathers swimming", "sentence": "The three sunbathers went swimming.", "letter": "s", "words": [ "sunbathers", "swimming" ], "source": "train" }, "2319": { "input": "Maisie drove her car from Morningside to Leith on Wednesday. [w]", "output": "wednesday", "sentence": "Maisie drove her car from Morningside to Leith on Wednesday.", "letter": "w", "words": [ "Wednesday" ], "source": "train" }, "2320": { "input": "The mother of the boy and the girl are arriving soon. [g]", "output": "girl", "sentence": "The mother of the boy and the girl are arriving soon.", "letter": "g", "words": [ "girl" ], "source": "train" }, "2321": { "input": "Amanda carried the package from Boston to New York. [f]", "output": "from", "sentence": "Amanda carried the package from Boston to New York.", "letter": "f", "words": [ "from" ], "source": "train" }, "2322": { "input": "No student who scored or more in the exam was ever failed. [s]", "output": "student scored", "sentence": "No student who scored or more in the exam was ever failed.", "letter": "s", "words": [ "student", "scored" ], "source": "train" }, "2323": { "input": "The policeman kissed the puppy. [k]", "output": "kissed", "sentence": "The policeman kissed the puppy.", "letter": "k", "words": [ "kissed" ], "source": "train" }, "2324": { "input": "The girls wondered who Mr Bennet had received in his library. [m]", "output": "mr", "sentence": "The girls wondered who Mr Bennet had received in his library.", "letter": "m", "words": [ "Mr" ], "source": "train" }, "2325": { "input": "Lora buttered the toast with unsalted butter. [b]", "output": "buttered butter", "sentence": "Lora buttered the toast with unsalted butter.", "letter": "b", "words": [ "buttered", "butter" ], "source": "train" }, "2326": { "input": "Where did you throw the ball? [b]", "output": "ball", "sentence": "Where did you throw the ball?", "letter": "b", "words": [ "ball" ], "source": "train" }, "2327": { "input": "Who do you think it is that Mary met? [d]", "output": "do", "sentence": "Who do you think it is that Mary met?", "letter": "d", "words": [ "do" ], "source": "train" }, "2328": { "input": "John knows that she left and John knows whether she will come back. [a]", "output": "and", "sentence": "John knows that she left and John knows whether she will come back.", "letter": "a", "words": [ "and" ], "source": "train" }, "2329": { "input": "Dana doubts that Drew believes I think Rosie loves magazine ads. [t]", "output": "that think", "sentence": "Dana doubts that Drew believes I think Rosie loves magazine ads.", "letter": "t", "words": [ "that", "think" ], "source": "train" }, "2330": { "input": "I said for Mary to run. [t]", "output": "to", "sentence": "I said for Mary to run.", "letter": "t", "words": [ "to" ], "source": "train" }, "2331": { "input": "Ad agencies call young people Generation X ers. [a]", "output": "ad agencies", "sentence": "Ad agencies call young people Generation X ers.", "letter": "a", "words": [ "Ad", "agencies" ], "source": "train" }, "2332": { "input": "John whined that he was hungry. [w]", "output": "whined was", "sentence": "John whined that he was hungry.", "letter": "w", "words": [ "whined", "was" ], "source": "train" }, "2333": { "input": "That Plato loved Aster proved to be his undoing. [l]", "output": "loved", "sentence": "That Plato loved Aster proved to be his undoing.", "letter": "l", "words": [ "loved" ], "source": "train" }, "2334": { "input": "I often have eaten muffins. [m]", "output": "muffins", "sentence": "I often have eaten muffins.", "letter": "m", "words": [ "muffins" ], "source": "train" }, "2335": { "input": "Water bubbled out of the kettle. [t]", "output": "the", "sentence": "Water bubbled out of the kettle.", "letter": "t", "words": [ "the" ], "source": "train" }, "2336": { "input": "Mary, who John asked for help, thinks he is foolish. [m]", "output": "mary", "sentence": "Mary, who John asked for help, thinks he is foolish.", "letter": "m", "words": [ "Mary" ], "source": "train" }, "2337": { "input": "He talked to a girl about swimming. [h]", "output": "he", "sentence": "He talked to a girl about swimming.", "letter": "h", "words": [ "He" ], "source": "train" }, "2338": { "input": "It is believed to be obvious by everyone that Fred is crazy. [e]", "output": "everyone", "sentence": "It is believed to be obvious by everyone that Fred is crazy.", "letter": "e", "words": [ "everyone" ], "source": "train" }, "2339": { "input": "Brandon has been reading more novels than he has short stories. [t]", "output": "than", "sentence": "Brandon has been reading more novels than he has short stories.", "letter": "t", "words": [ "than" ], "source": "train" }, "2340": { "input": "The man on whose lap the puppet is sitting is ventriloquist. [s]", "output": "sitting", "sentence": "The man on whose lap the puppet is sitting is ventriloquist.", "letter": "s", "words": [ "sitting" ], "source": "train" }, "2341": { "input": "It was to Boston that they decided to take the patient. [b]", "output": "boston", "sentence": "It was to Boston that they decided to take the patient.", "letter": "b", "words": [ "Boston" ], "source": "train" }, "2342": { "input": "Phineas knows a girl who is behind Maxime. [w]", "output": "who", "sentence": "Phineas knows a girl who is behind Maxime.", "letter": "w", "words": [ "who" ], "source": "train" }, "2343": { "input": "Pilots who can fly barrel rolls say that for me to try to do it in a glider would be hazardous. [s]", "output": "say", "sentence": "Pilots who can fly barrel rolls say that for me to try to do it in a glider would be hazardous.", "letter": "s", "words": [ "say" ], "source": "train" }, "2344": { "input": "At p.m. I saw John lecturing to everyone who was near him. [m]", "output": "m", "sentence": "At p.m. I saw John lecturing to everyone who was near him.", "letter": "m", "words": [ "m" ], "source": "train" }, "2345": { "input": "Nurse Rooke has discovered where Anne Elliott stayed. [a]", "output": "anne", "sentence": "Nurse Rooke has discovered where Anne Elliott stayed.", "letter": "a", "words": [ "Anne" ], "source": "train" }, "2346": { "input": "The committee was unanimous in their decision. [w]", "output": "was", "sentence": "The committee was unanimous in their decision.", "letter": "w", "words": [ "was" ], "source": "train" }, "2347": { "input": "The man kicked a ball. [k]", "output": "kicked", "sentence": "The man kicked a ball.", "letter": "k", "words": [ "kicked" ], "source": "train" }, "2348": { "input": "He hurt himself with it when he tried to open it. [w]", "output": "with when", "sentence": "He hurt himself with it when he tried to open it.", "letter": "w", "words": [ "with", "when" ], "source": "train" }, "2349": { "input": "Which bed did Tom sleep on? [s]", "output": "sleep", "sentence": "Which bed did Tom sleep on?", "letter": "s", "words": [ "sleep" ], "source": "train" }, "2350": { "input": "We proved Smith conclusively to the authorities to be the thief. [s]", "output": "smith", "sentence": "We proved Smith conclusively to the authorities to be the thief.", "letter": "s", "words": [ "Smith" ], "source": "train" }, "2351": { "input": "Such an eminent scholar as Dr. Lucille Hein was here. [s]", "output": "such scholar", "sentence": "Such an eminent scholar as Dr. Lucille Hein was here.", "letter": "s", "words": [ "Such", "scholar" ], "source": "train" }, "2352": { "input": "John put carrots from his garden in the salad. [p]", "output": "put", "sentence": "John put carrots from his garden in the salad.", "letter": "p", "words": [ "put" ], "source": "train" }, "2353": { "input": "Sue moved, and Mary also transferred, her business to a different location. [b]", "output": "business", "sentence": "Sue moved, and Mary also transferred, her business to a different location.", "letter": "b", "words": [ "business" ], "source": "train" }, "2354": { "input": "The writers did so believe the boy. [b]", "output": "believe boy", "sentence": "The writers did so believe the boy.", "letter": "b", "words": [ "believe", "boy" ], "source": "train" }, "2355": { "input": "It was John and Bill that were waiting at the restaurant. [r]", "output": "restaurant", "sentence": "It was John and Bill that were waiting at the restaurant.", "letter": "r", "words": [ "restaurant" ], "source": "train" }, "2356": { "input": "A burlap sack of potatoes with mealy skins fell on the professor of linguistics with the terrible taste in T shirts from the twelfth story. [s]", "output": "sack skins shirts story", "sentence": "A burlap sack of potatoes with mealy skins fell on the professor of linguistics with the terrible taste in T shirts from the twelfth story.", "letter": "s", "words": [ "sack", "skins", "shirts", "story" ], "source": "train" }, "2357": { "input": "She has enough of a problem as it is. [i]", "output": "it is", "sentence": "She has enough of a problem as it is.", "letter": "i", "words": [ "it", "is" ], "source": "train" }, "2358": { "input": "So eminent a scholar as Dr. Lucille Hein was here. [e]", "output": "eminent", "sentence": "So eminent a scholar as Dr. Lucille Hein was here.", "letter": "e", "words": [ "eminent" ], "source": "train" }, "2359": { "input": "Bill offered Mary everything he had cooked for dinner. [b]", "output": "bill", "sentence": "Bill offered Mary everything he had cooked for dinner.", "letter": "b", "words": [ "Bill" ], "source": "train" }, "2360": { "input": "Sandy must have been, too. [h]", "output": "have", "sentence": "Sandy must have been, too.", "letter": "h", "words": [ "have" ], "source": "train" }, "2361": { "input": "The umpire called it of. [u]", "output": "umpire", "sentence": "The umpire called it of.", "letter": "u", "words": [ "umpire" ], "source": "train" }, "2362": { "input": "The person who John asked for help thinks he is foolish. [p]", "output": "person", "sentence": "The person who John asked for help thinks he is foolish.", "letter": "p", "words": [ "person" ], "source": "train" }, "2363": { "input": "Who are you trying to get hold of? [o]", "output": "of", "sentence": "Who are you trying to get hold of?", "letter": "o", "words": [ "of" ], "source": "train" }, "2364": { "input": "Every child should have a daily glass of milk. [d]", "output": "daily", "sentence": "Every child should have a daily glass of milk.", "letter": "d", "words": [ "daily" ], "source": "train" }, "2365": { "input": "One of the Jewish children is a spunky girl, who gave a black eye to the kid with the German roots before the start of the war. [i]", "output": "is", "sentence": "One of the Jewish children is a spunky girl, who gave a black eye to the kid with the German roots before the start of the war.", "letter": "i", "words": [ "is" ], "source": "train" }, "2366": { "input": "The angrier that Sue gets, the more that Fred admires her. [g]", "output": "gets", "sentence": "The angrier that Sue gets, the more that Fred admires her.", "letter": "g", "words": [ "gets" ], "source": "train" }, "2367": { "input": "The press conjectured that Smith would be the appointee. [c]", "output": "conjectured", "sentence": "The press conjectured that Smith would be the appointee.", "letter": "c", "words": [ "conjectured" ], "source": "train" }, "2368": { "input": "Medea might have given Jason a poisoned robe just treat a poisoned robe as an NP [m]", "output": "medea might", "sentence": "Medea might have given Jason a poisoned robe just treat a poisoned robe as an NP", "letter": "m", "words": [ "Medea", "might" ], "source": "train" }, "2369": { "input": "The constant reading of Shakespeare satisfied me [r]", "output": "reading", "sentence": "The constant reading of Shakespeare satisfied me", "letter": "r", "words": [ "reading" ], "source": "train" }, "2370": { "input": "Brian wiped the fingerprints from inside the cupboard. [b]", "output": "brian", "sentence": "Brian wiped the fingerprints from inside the cupboard.", "letter": "b", "words": [ "Brian" ], "source": "train" }, "2371": { "input": "Don swatted the mosquito with the newspaper. [n]", "output": "newspaper", "sentence": "Don swatted the mosquito with the newspaper.", "letter": "n", "words": [ "newspaper" ], "source": "train" }, "2372": { "input": "Jim will go if he feels good. [w]", "output": "will", "sentence": "Jim will go if he feels good.", "letter": "w", "words": [ "will" ], "source": "train" }, "2373": { "input": "Reports the covers of which the government prescribes the height of the lettering on almost always put me to sleep. [h]", "output": "height", "sentence": "Reports the covers of which the government prescribes the height of the lettering on almost always put me to sleep.", "letter": "h", "words": [ "height" ], "source": "train" }, "2374": { "input": "To find a new mate, go to a dating service. [d]", "output": "dating", "sentence": "To find a new mate, go to a dating service.", "letter": "d", "words": [ "dating" ], "source": "train" }, "2375": { "input": "John is easy to please. [j]", "output": "john", "sentence": "John is easy to please.", "letter": "j", "words": [ "John" ], "source": "train" }, "2376": { "input": "The owl hated the evil bat and the wise eagle [w]", "output": "wise", "sentence": "The owl hated the evil bat and the wise eagle", "letter": "w", "words": [ "wise" ], "source": "train" }, "2377": { "input": "John included his name in the list. [n]", "output": "name", "sentence": "John included his name in the list.", "letter": "n", "words": [ "name" ], "source": "train" }, "2378": { "input": "Harry got to be more of the celebrity. [o]", "output": "of", "sentence": "Harry got to be more of the celebrity.", "letter": "o", "words": [ "of" ], "source": "train" }, "2379": { "input": "Jim was chopping logs when Margaret left and was still at it when she got back. [b]", "output": "back", "sentence": "Jim was chopping logs when Margaret left and was still at it when she got back.", "letter": "b", "words": [ "back" ], "source": "train" }, "2380": { "input": "Mary gets depressed and she listens to the Grateful Dead. [s]", "output": "she", "sentence": "Mary gets depressed and she listens to the Grateful Dead.", "letter": "s", "words": [ "she" ], "source": "train" }, "2381": { "input": "the person I met is from Boston. [i]", "output": "i is", "sentence": "the person I met is from Boston.", "letter": "i", "words": [ "I", "is" ], "source": "train" }, "2382": { "input": "Anson very happily demonized David. [d]", "output": "demonized david", "sentence": "Anson very happily demonized David.", "letter": "d", "words": [ "demonized", "David" ], "source": "train" }, "2383": { "input": "Kim may have admitted to let Mary mow the lawn. [l]", "output": "let lawn", "sentence": "Kim may have admitted to let Mary mow the lawn.", "letter": "l", "words": [ "let", "lawn" ], "source": "train" }, "2384": { "input": "On Wednesday Maisie drove her car from Morningside to Leith. [t]", "output": "to", "sentence": "On Wednesday Maisie drove her car from Morningside to Leith.", "letter": "t", "words": [ "to" ], "source": "train" }, "2385": { "input": "The men were able to mine more gold. [g]", "output": "gold", "sentence": "The men were able to mine more gold.", "letter": "g", "words": [ "gold" ], "source": "train" }, "2386": { "input": "John convinced Bill to sleep. [s]", "output": "sleep", "sentence": "John convinced Bill to sleep.", "letter": "s", "words": [ "sleep" ], "source": "train" }, "2387": { "input": "Pilots who can fly barrel rolls say that for me to try to do it in a glider would be hazardous. [p]", "output": "pilots", "sentence": "Pilots who can fly barrel rolls say that for me to try to do it in a glider would be hazardous.", "letter": "p", "words": [ "Pilots" ], "source": "train" }, "2388": { "input": "I put books on the table. [b]", "output": "books", "sentence": "I put books on the table.", "letter": "b", "words": [ "books" ], "source": "train" }, "2389": { "input": "All of his wealth come from real estate investments. [c]", "output": "come", "sentence": "All of his wealth come from real estate investments.", "letter": "c", "words": [ "come" ], "source": "train" }, "2390": { "input": "This Government have been more transparent in the way they have dealt with public finances than any previous government. [p]", "output": "public previous", "sentence": "This Government have been more transparent in the way they have dealt with public finances than any previous government.", "letter": "p", "words": [ "public", "previous" ], "source": "train" }, "2391": { "input": "Mary will play the violin soon. [w]", "output": "will", "sentence": "Mary will play the violin soon.", "letter": "w", "words": [ "will" ], "source": "train" }, "2392": { "input": "I promised that he would be there tomorrow. [b]", "output": "be", "sentence": "I promised that he would be there tomorrow.", "letter": "b", "words": [ "be" ], "source": "train" }, "2393": { "input": "John came from Seoul. [s]", "output": "seoul", "sentence": "John came from Seoul.", "letter": "s", "words": [ "Seoul" ], "source": "train" }, "2394": { "input": "Any pilot must be out flying planes today. [a]", "output": "any", "sentence": "Any pilot must be out flying planes today.", "letter": "a", "words": [ "Any" ], "source": "train" }, "2395": { "input": "It is easy to please John. [j]", "output": "john", "sentence": "It is easy to please John.", "letter": "j", "words": [ "John" ], "source": "train" }, "2396": { "input": "They read the scientific book. [r]", "output": "read", "sentence": "They read the scientific book.", "letter": "r", "words": [ "read" ], "source": "train" }, "2397": { "input": "Amanda drove the package from Boston to New York. [b]", "output": "boston", "sentence": "Amanda drove the package from Boston to New York.", "letter": "b", "words": [ "Boston" ], "source": "train" }, "2398": { "input": "Smith loaned and his widow later donated a valuable collection of manuscripts to the library. 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[o]", "output": "oysters", "sentence": "Sandy tried to eat oysters.", "letter": "o", "words": [ "oysters" ], "source": "train" }, "2403": { "input": "Did you believe him ever to have made an effort to talk to the student? [m]", "output": "made", "sentence": "Did you believe him ever to have made an effort to talk to the student?", "letter": "m", "words": [ "made" ], "source": "train" }, "2404": { "input": "Which book and which pencil did John buy? [p]", "output": "pencil", "sentence": "Which book and which pencil did John buy?", "letter": "p", "words": [ "pencil" ], "source": "train" }, "2405": { "input": "I wonder has Mary worked for Microsoft. [w]", "output": "wonder worked", "sentence": "I wonder has Mary worked for Microsoft.", "letter": "w", "words": [ "wonder", "worked" ], "source": "train" }, "2406": { "input": "Did John wonder who would win the game? 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[s]", "output": "said", "sentence": "Heidi said that pictures of herself were embarrassing.", "letter": "s", "words": [ "said" ], "source": "train" }, "2411": { "input": "He looks so formidable. [l]", "output": "looks", "sentence": "He looks so formidable.", "letter": "l", "words": [ "looks" ], "source": "train" }, "2412": { "input": "Mary will complete her exam within an hour. [a]", "output": "an", "sentence": "Mary will complete her exam within an hour.", "letter": "a", "words": [ "an" ], "source": "train" }, "2413": { "input": "A proof was given that the claim that John had lied had been made. [a]", "output": "a", "sentence": "A proof was given that the claim that John had lied had been made.", "letter": "a", "words": [ "A" ], "source": "train" }, "2414": { "input": "Susan found every book she had been looking for at Borders. [f]", "output": "found for", "sentence": "Susan found every book she had been looking for at Borders.", "letter": "f", "words": [ "found", "for" ], "source": "train" }, "2415": { "input": "Pat is likely to be examined by the dentist. [i]", "output": "is", "sentence": "Pat is likely to be examined by the dentist.", "letter": "i", "words": [ "is" ], "source": "train" }, "2416": { "input": "Jill kicked the ball from home plate to third base. [h]", "output": "home", "sentence": "Jill kicked the ball from home plate to third base.", "letter": "h", "words": [ "home" ], "source": "train" }, "2417": { "input": "Paul breathed. [p]", "output": "paul", "sentence": "Paul breathed.", "letter": "p", "words": [ "Paul" ], "source": "train" }, "2418": { "input": "We reminded him of the agreement. [o]", "output": "of", "sentence": "We reminded him of the agreement.", "letter": "o", "words": [ "of" ], "source": "train" }, "2419": { "input": "For him to win the race would surprise them. [f]", "output": "for", "sentence": "For him to win the race would surprise them.", "letter": "f", "words": [ "For" ], "source": "train" }, "2420": { "input": "The scenes to which the censors took objection had to do with the mixed marriage of a woman and a giant panda. [s]", "output": "scenes", "sentence": "The scenes to which the censors took objection had to do with the mixed marriage of a woman and a giant panda.", "letter": "s", "words": [ "scenes" ], "source": "train" }, "2421": { "input": "Susan ate yesterday at the restaurant. [y]", "output": "yesterday", "sentence": "Susan ate yesterday at the restaurant.", "letter": "y", "words": [ "yesterday" ], "source": "train" }, "2422": { "input": "Who did Jason think Medea had poisoned? [h]", "output": "had", "sentence": "Who did Jason think Medea had poisoned?", "letter": "h", "words": [ "had" ], "source": "train" }, "2423": { "input": "Mary sang a song, but Lee never did. [a]", "output": "a", "sentence": "Mary sang a song, but Lee never did.", "letter": "a", "words": [ "a" ], "source": "train" }, "2424": { "input": "Calvin did not do a back flip. [f]", "output": "flip", "sentence": "Calvin did not do a back flip.", "letter": "f", "words": [ "flip" ], "source": "train" }, "2425": { "input": "Martha carved a toy for the baby. [c]", "output": "carved", "sentence": "Martha carved a toy for the baby.", "letter": "c", "words": [ "carved" ], "source": "train" }, "2426": { "input": "He made a statement everyone thought was interesting and important. [a]", "output": "a and", "sentence": "He made a statement everyone thought was interesting and important.", "letter": "a", "words": [ "a", "and" ], "source": "train" }, "2427": { "input": "I believed that Otto was wearing this hat. [t]", "output": "that this", "sentence": "I believed that Otto was wearing this hat.", "letter": "t", "words": [ "that", "this" ], "source": "train" }, "2428": { "input": "One of major factors affecting the value of diamonds was their weight. [m]", "output": "major", "sentence": "One of major factors affecting the value of diamonds was their weight.", "letter": "m", "words": [ "major" ], "source": "train" }, "2429": { "input": "Which pictures of Earl did he see? [w]", "output": "which", "sentence": "Which pictures of Earl did he see?", "letter": "w", "words": [ "Which" ], "source": "train" }, "2430": { "input": "Harriet alternated folk songs and pop songs. [p]", "output": "pop", "sentence": "Harriet alternated folk songs and pop songs.", "letter": "p", "words": [ "pop" ], "source": "train" }, "2431": { "input": "Dan gives to charity. [c]", "output": "charity", "sentence": "Dan gives to charity.", "letter": "c", "words": [ "charity" ], "source": "train" }, "2432": { "input": "Some student from Australia speaks Chinese. [a]", "output": "australia", "sentence": "Some student from Australia speaks Chinese.", "letter": "a", "words": [ "Australia" ], "source": "train" }, "2433": { "input": "The big student of physics with long hair in the library. [i]", "output": "in", "sentence": "The big student of physics with long hair in the library.", "letter": "i", "words": [ "in" ], "source": "train" }, "2434": { "input": "The curtain which Fred tore in rolling the wallpaper up was the kind gift of my maternal Aunt Priscilla. [u]", "output": "up", "sentence": "The curtain which Fred tore in rolling the wallpaper up was the kind gift of my maternal Aunt Priscilla.", "letter": "u", "words": [ "up" ], "source": "train" }, "2435": { "input": "I read that Bill had seen me. 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[s]", "output": "students syntax", "sentence": "John taught new students English Syntax.", "letter": "s", "words": [ "students", "Syntax" ], "source": "train" }, "2443": { "input": "John talked to any woman who came up to him except Sue. [u]", "output": "up", "sentence": "John talked to any woman who came up to him except Sue.", "letter": "u", "words": [ "up" ], "source": "train" }, "2444": { "input": "It would be inconvenience for you to leave so soon. [i]", "output": "it inconvenience", "sentence": "It would be inconvenience for you to leave so soon.", "letter": "i", "words": [ "It", "inconvenience" ], "source": "train" }, "2445": { "input": "I gave Jack a picture of myself. [m]", "output": "myself", "sentence": "I gave Jack a picture of myself.", "letter": "m", "words": [ "myself" ], "source": "train" }, "2446": { "input": "This is the box in which John put his gold. 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[t]", "output": "that", "sentence": "She would never believe that story.", "letter": "t", "words": [ "that" ], "source": "train" }, "2457": { "input": "Herman mixed the eggs and the cream. [h]", "output": "herman", "sentence": "Herman mixed the eggs and the cream.", "letter": "h", "words": [ "Herman" ], "source": "train" }, "2458": { "input": "Some of the water from melted snow also goes into the ground for plants. [f]", "output": "from for", "sentence": "Some of the water from melted snow also goes into the ground for plants.", "letter": "f", "words": [ "from", "for" ], "source": "train" }, "2459": { "input": "Whether to win is a question Mary never considered. [a]", "output": "a", "sentence": "Whether to win is a question Mary never considered.", "letter": "a", "words": [ "a" ], "source": "train" }, "2460": { "input": "The drooling dog kissed the big boy. [k]", "output": "kissed", "sentence": "The drooling dog kissed the big boy.", "letter": "k", "words": [ "kissed" ], "source": "train" }, "2461": { "input": "Ellen conferred with Helen. [w]", "output": "with", "sentence": "Ellen conferred with Helen.", "letter": "w", "words": [ "with" ], "source": "train" }, "2462": { "input": "This rock is too heavy for me to begin to decide about helping Bob to try to pick it up. [m]", "output": "me", "sentence": "This rock is too heavy for me to begin to decide about helping Bob to try to pick it up.", "letter": "m", "words": [ "me" ], "source": "train" }, "2463": { "input": "The man who ordered a hot dog got one. [a]", "output": "a", "sentence": "The man who ordered a hot dog got one.", "letter": "a", "words": [ "a" ], "source": "train" }, "2464": { "input": "Dana longs for a sunny day. [l]", "output": "longs", "sentence": "Dana longs for a sunny day.", "letter": "l", "words": [ "longs" ], "source": "train" }, "2465": { "input": "The pliers bent the rod. [r]", "output": "rod", "sentence": "The pliers bent the rod.", "letter": "r", "words": [ "rod" ], "source": "train" }, "2466": { "input": "These expensive and illegal bottles of Absinthe are to be smuggled from Hungary. [t]", "output": "these to", "sentence": "These expensive and illegal bottles of Absinthe are to be smuggled from Hungary.", "letter": "t", "words": [ "These", "to" ], "source": "train" }, "2467": { "input": "Joan knew the answer. [j]", "output": "joan", "sentence": "Joan knew the answer.", "letter": "j", "words": [ "Joan" ], "source": "train" }, "2468": { "input": "Being lovely to look at has its advantages. [t]", "output": "to", "sentence": "Being lovely to look at has its advantages.", "letter": "t", "words": [ "to" ], "source": "train" }, "2469": { "input": "It is unclear why she told him. [u]", "output": "unclear", "sentence": "It is unclear why she told him.", "letter": "u", "words": [ "unclear" ], "source": "train" }, "2470": { "input": "The boy pushed his way through the crowd. [p]", "output": "pushed", "sentence": "The boy pushed his way through the crowd.", "letter": "p", "words": [ "pushed" ], "source": "train" }, "2471": { "input": "Molly gave Calvin a kiss. [c]", "output": "calvin", "sentence": "Molly gave Calvin a kiss.", "letter": "c", "words": [ "Calvin" ], "source": "train" }, "2472": { "input": "He left. [l]", "output": "left", "sentence": "He left.", "letter": "l", "words": [ "left" ], "source": "train" }, "2473": { "input": "Someone attended every seminar. [s]", "output": "someone seminar", "sentence": "Someone attended every seminar.", "letter": "s", "words": [ "Someone", "seminar" ], "source": "train" }, "2474": { "input": "What the thing which I ate cost almost broke me. [c]", "output": "cost", "sentence": "What the thing which I ate cost almost broke me.", "letter": "c", "words": [ "cost" ], "source": "train" }, "2475": { "input": "I spared him the trouble. [t]", "output": "the trouble", "sentence": "I spared him the trouble.", "letter": "t", "words": [ "the", "trouble" ], "source": "train" }, "2476": { "input": "Tamara poured water onto the plants. [p]", "output": "poured plants", "sentence": "Tamara poured water onto the plants.", "letter": "p", "words": [ "poured", "plants" ], "source": "train" }, "2477": { "input": "The car has been being driven. [b]", "output": "been being", "sentence": "The car has been being driven.", "letter": "b", "words": [ "been", "being" ], "source": "train" }, "2478": { "input": "His analysis, I never liked. [h]", "output": "his", "sentence": "His analysis, I never liked.", "letter": "h", "words": [ "His" ], "source": "train" }, "2479": { "input": "He rowed Penny across the lake. [a]", "output": "across", "sentence": "He rowed Penny across the lake.", "letter": "a", "words": [ "across" ], "source": "train" }, "2480": { "input": "They wrote to her. [w]", "output": "wrote", "sentence": "They wrote to her.", "letter": "w", "words": [ "wrote" ], "source": "train" }, "2481": { "input": "She spruced herself up before the job interview. [b]", "output": "before", "sentence": "She spruced herself up before the job interview.", "letter": "b", "words": [ "before" ], "source": "train" }, "2482": { "input": "Some of the promoters of ostrich meat compare its taste to beef tenderloin. [c]", "output": "compare", "sentence": "Some of the promoters of ostrich meat compare its taste to beef tenderloin.", "letter": "c", "words": [ "compare" ], "source": "train" }, "2483": { "input": "Whether to win is a question Mary never considered. [q]", "output": "question", "sentence": "Whether to win is a question Mary never considered.", "letter": "q", "words": [ "question" ], "source": "train" }, "2484": { "input": "Ions left the electrode. [l]", "output": "left", "sentence": "Ions left the electrode.", "letter": "l", "words": [ "left" ], "source": "train" }, "2485": { "input": "I said for Mary to run. [r]", "output": "run", "sentence": "I said for Mary to run.", "letter": "r", "words": [ "run" ], "source": "train" }, "2486": { "input": "I am hoping that the weather is lovely today. [h]", "output": "hoping", "sentence": "I am hoping that the weather is lovely today.", "letter": "h", "words": [ "hoping" ], "source": "train" }, "2487": { "input": "Brenda and Molly haggled about the party. [p]", "output": "party", "sentence": "Brenda and Molly haggled about the party.", "letter": "p", "words": [ "party" ], "source": "train" }, "2488": { "input": "Captain Oates died in order to save his comrades. [s]", "output": "save", "sentence": "Captain Oates died in order to save his comrades.", "letter": "s", "words": [ "save" ], "source": "train" }, "2489": { "input": "Mary cuts the paper easily. [p]", "output": "paper", "sentence": "Mary cuts the paper easily.", "letter": "p", "words": [ "paper" ], "source": "train" }, "2490": { "input": "Amanda carried packages to New York. [a]", "output": "amanda", "sentence": "Amanda carried packages to New York.", "letter": "a", "words": [ "Amanda" ], "source": "train" }, "2491": { "input": "She did away with her father. [h]", "output": "her", "sentence": "She did away with her father.", "letter": "h", "words": [ "her" ], "source": "train" }, "2492": { "input": "Josh gave Clay a book carefully. [g]", "output": "gave", "sentence": "Josh gave Clay a book carefully.", "letter": "g", "words": [ "gave" ], "source": "train" }, "2493": { "input": "This violin is tough to play sonatas on. [v]", "output": "violin", "sentence": "This violin is tough to play sonatas on.", "letter": "v", "words": [ "violin" ], "source": "train" }, "2494": { "input": "This girl in the red coat will put a picture of Bill on your desk. [g]", "output": "girl", "sentence": "This girl in the red coat will put a picture of Bill on your desk.", "letter": "g", "words": [ "girl" ], "source": "train" }, "2495": { "input": "I rolled up a newspaper, and Lynn did a magazine? [u]", "output": "up", "sentence": "I rolled up a newspaper, and Lynn did a magazine?", "letter": "u", "words": [ "up" ], "source": "train" }, "2496": { "input": "Mr Knightley suggested that thieves would break into Hartfield. [b]", "output": "break", "sentence": "Mr Knightley suggested that thieves would break into Hartfield.", "letter": "b", "words": [ "break" ], "source": "train" }, "2497": { "input": "The guy who is wearing the red hat just hit me! [m]", "output": "me", "sentence": "The guy who is wearing the red hat just hit me!", "letter": "m", "words": [ "me" ], "source": "train" }, "2498": { "input": "John tried. [t]", "output": "tried", "sentence": "John tried.", "letter": "t", "words": [ "tried" ], "source": "train" }, "2499": { "input": "Who said he would give the cloak to Lee? [t]", "output": "the to", "sentence": "Who said he would give the cloak to Lee?", "letter": "t", "words": [ "the", "to" ], "source": "train" }, "2500": { "input": "Louis hinted Mary stole the purse deftly. [m]", "output": "mary", "sentence": "Louis hinted Mary stole the purse deftly.", "letter": "m", "words": [ "Mary" ], "source": "train" }, "2501": { "input": "She does not see him. [n]", "output": "not", "sentence": "She does not see him.", "letter": "n", "words": [ "not" ], "source": "train" }, "2502": { "input": "We contributed our paycheck to her. [h]", "output": "her", "sentence": "We contributed our paycheck to her.", "letter": "h", "words": [ "her" ], "source": "train" }, "2503": { "input": "It is crucial that John should show an interest. [i]", "output": "it is interest", "sentence": "It is crucial that John should show an interest.", "letter": "i", "words": [ "It", "is", "interest" ], "source": "train" }, "2504": { "input": "Jasper wonders which book he should attempt to persuade his students to buy. [h]", "output": "he his", "sentence": "Jasper wonders which book he should attempt to persuade his students to buy.", "letter": "h", "words": [ "he", "his" ], "source": "train" }, "2505": { "input": "John has a hole in the upper right hand corner of his quilt. [a]", "output": "a", "sentence": "John has a hole in the upper right hand corner of his quilt.", "letter": "a", "words": [ "a" ], "source": "train" }, "2506": { "input": "John felt proud that his son won the game. [h]", "output": "his", "sentence": "John felt proud that his son won the game.", "letter": "h", "words": [ "his" ], "source": "train" }, "2507": { "input": "John talked to Bill about the exam. [a]", "output": "about", "sentence": "John talked to Bill about the exam.", "letter": "a", "words": [ "about" ], "source": "train" }, "2508": { "input": "John believes himself to be proud of Mary. [o]", "output": "of", "sentence": "John believes himself to be proud of Mary.", "letter": "o", "words": [ "of" ], "source": "train" }, "2509": { "input": "Everyone reported that Max and some lady disappeared. [s]", "output": "some", "sentence": "Everyone reported that Max and some lady disappeared.", "letter": "s", "words": [ "some" ], "source": "train" }, "2510": { "input": "The dog that the rat bit chased the cat. [r]", "output": "rat", "sentence": "The dog that the rat bit chased the cat.", "letter": "r", "words": [ "rat" ], "source": "train" }, "2511": { "input": "What Medea attempted was to poison her children. [w]", "output": "what was", "sentence": "What Medea attempted was to poison her children.", "letter": "w", "words": [ "What", "was" ], "source": "train" }, "2512": { "input": "Bill kissed himself. [k]", "output": "kissed", "sentence": "Bill kissed himself.", "letter": "k", "words": [ "kissed" ], "source": "train" }, "2513": { "input": "John believes Bill to have slept. [j]", "output": "john", "sentence": "John believes Bill to have slept.", "letter": "j", "words": [ "John" ], "source": "train" }, "2514": { "input": "What I love is toast and sun dried tomatoes [a]", "output": "and", "sentence": "What I love is toast and sun dried tomatoes", "letter": "a", "words": [ "and" ], "source": "train" }, "2515": { "input": "Which books did Robin read and hate? [h]", "output": "hate", "sentence": "Which books did Robin read and hate?", "letter": "h", "words": [ "hate" ], "source": "train" }, "2516": { "input": "Where did Perseus see the Gorgon? [g]", "output": "gorgon", "sentence": "Where did Perseus see the Gorgon?", "letter": "g", "words": [ "Gorgon" ], "source": "train" }, "2517": { "input": "Never is any lion majestic. [m]", "output": "majestic", "sentence": "Never is any lion majestic.", "letter": "m", "words": [ "majestic" ], "source": "train" }, "2518": { "input": "Shall I go downtown? [g]", "output": "go", "sentence": "Shall I go downtown?", "letter": "g", "words": [ "go" ], "source": "train" }, "2519": { "input": "The rabbit vanished into thin air. [v]", "output": "vanished", "sentence": "The rabbit vanished into thin air.", "letter": "v", "words": [ "vanished" ], "source": "train" }, "2520": { "input": "Ellen talked with Helen about the problem. [w]", "output": "with", "sentence": "Ellen talked with Helen about the problem.", "letter": "w", "words": [ "with" ], "source": "train" }, "2521": { "input": "Gregory appears to have wanted to be loyal to the company. [a]", "output": "appears", "sentence": "Gregory appears to have wanted to be loyal to the company.", "letter": "a", "words": [ "appears" ], "source": "train" }, "2522": { "input": "I am drinking lemonade and eating a brownie. [e]", "output": "eating", "sentence": "I am drinking lemonade and eating a brownie.", "letter": "e", "words": [ "eating" ], "source": "train" }, "2523": { "input": "What Mr Collins is doing is praising Lady de Bourg. [w]", "output": "what", "sentence": "What Mr Collins is doing is praising Lady de Bourg.", "letter": "w", "words": [ "What" ], "source": "train" }, "2524": { "input": "Robert thinks that student should eat asparagus. [e]", "output": "eat", "sentence": "Robert thinks that student should eat asparagus.", "letter": "e", "words": [ "eat" ], "source": "train" }, "2525": { "input": "Jason refrained from casting the spell [t]", "output": "the", "sentence": "Jason refrained from casting the spell", "letter": "t", "words": [ "the" ], "source": "train" }, "2526": { "input": "He blew up the building. [h]", "output": "he", "sentence": "He blew up the building.", "letter": "h", "words": [ "He" ], "source": "train" }, "2527": { "input": "I asked if Medea poisoned Jason. [i]", "output": "i if", "sentence": "I asked if Medea poisoned Jason.", "letter": "i", "words": [ "I", "if" ], "source": "train" }, "2528": { "input": "Margaret cut the bread. [c]", "output": "cut", "sentence": "Margaret cut the bread.", "letter": "c", "words": [ "cut" ], "source": "train" }, "2529": { "input": "I prefer for the girl to put a picture there. [t]", "output": "the to there", "sentence": "I prefer for the girl to put a picture there.", "letter": "t", "words": [ "the", "to", "there" ], "source": "train" }, "2530": { "input": "Every student read any book on giraffes he found. [o]", "output": "on", "sentence": "Every student read any book on giraffes he found.", "letter": "o", "words": [ "on" ], "source": "train" }, "2531": { "input": "It is important to be more careful, the more you eat. [c]", "output": "careful", "sentence": "It is important to be more careful, the more you eat.", "letter": "c", "words": [ "careful" ], "source": "train" }, "2532": { "input": "Fred tore the curtain in roiling it up. [t]", "output": "tore the", "sentence": "Fred tore the curtain in roiling it up.", "letter": "t", "words": [ "tore", "the" ], "source": "train" }, "2533": { "input": "Which celebrity did he mention that he had run into? [c]", "output": "celebrity", "sentence": "Which celebrity did he mention that he had run into?", "letter": "c", "words": [ "celebrity" ], "source": "train" }, "2534": { "input": "Jason refrained from casting the spell [r]", "output": "refrained", "sentence": "Jason refrained from casting the spell", "letter": "r", "words": [ "refrained" ], "source": "train" }, "2535": { "input": "Gregory appears to have wanted to be loyal to the company. [b]", "output": "be", "sentence": "Gregory appears to have wanted to be loyal to the company.", "letter": "b", "words": [ "be" ], "source": "train" }, "2536": { "input": "Whole wheat bread cuts easily. [e]", "output": "easily", "sentence": "Whole wheat bread cuts easily.", "letter": "e", "words": [ "easily" ], "source": "train" }, "2537": { "input": "The fact that scientists have now established all the genes in the human body is still not widely known. [k]", "output": "known", "sentence": "The fact that scientists have now established all the genes in the human body is still not widely known.", "letter": "k", "words": [ "known" ], "source": "train" }, "2538": { "input": "The book of poems with a red cover from Blackwell by Robert Burns takes a very long time to read. [c]", "output": "cover", "sentence": "The book of poems with a red cover from Blackwell by Robert Burns takes a very long time to read.", "letter": "c", "words": [ "cover" ], "source": "train" }, "2539": { "input": "Kim is easy to please. [t]", "output": "to", "sentence": "Kim is easy to please.", "letter": "t", "words": [ "to" ], "source": "train" }, "2540": { "input": "I read him the figures, but when I looked up, he was gone. [h]", "output": "him he", "sentence": "I read him the figures, but when I looked up, he was gone.", "letter": "h", "words": [ "him", "he" ], "source": "train" }, "2541": { "input": "He let the cats out which were whining. [h]", "output": "he", "sentence": "He let the cats out which were whining.", "letter": "h", "words": [ "He" ], "source": "train" }, "2542": { "input": "Susan consented to try to seem to have been kissed. [h]", "output": "have", "sentence": "Susan consented to try to seem to have been kissed.", "letter": "h", "words": [ "have" ], "source": "train" }, "2543": { "input": "John will have enthusiastically been eating cake. [j]", "output": "john", "sentence": "John will have enthusiastically been eating cake.", "letter": "j", "words": [ "John" ], "source": "train" }, "2544": { "input": "My pastor says I ate too much cake. [m]", "output": "my much", "sentence": "My pastor says I ate too much cake.", "letter": "m", "words": [ "My", "much" ], "source": "train" }, "2545": { "input": "There is only one chemical substance involved in nerve transmission. [o]", "output": "only one", "sentence": "There is only one chemical substance involved in nerve transmission.", "letter": "o", "words": [ "only", "one" ], "source": "train" }, "2546": { "input": "What did Bill claim that he read? [r]", "output": "read", "sentence": "What did Bill claim that he read?", "letter": "r", "words": [ "read" ], "source": "train" }, "2547": { "input": "There appeared a ship on the horizon. [s]", "output": "ship", "sentence": "There appeared a ship on the horizon.", "letter": "s", "words": [ "ship" ], "source": "train" }, "2548": { "input": "Moya said she liked football. [l]", "output": "liked", "sentence": "Moya said she liked football.", "letter": "l", "words": [ "liked" ], "source": "train" }, "2549": { "input": "Sue said something although she was the most likely not to say anything. [a]", "output": "although anything", "sentence": "Sue said something although she was the most likely not to say anything.", "letter": "a", "words": [ "although", "anything" ], "source": "train" }, "2550": { "input": "Anson will come to the party. [a]", "output": "anson", "sentence": "Anson will come to the party.", "letter": "a", "words": [ "Anson" ], "source": "train" }, "2551": { "input": "Nurse Rooke suspected that Mrs Clay planned to run away with. [c]", "output": "clay", "sentence": "Nurse Rooke suspected that Mrs Clay planned to run away with.", "letter": "c", "words": [ "Clay" ], "source": "train" }, "2552": { "input": "Matt kissed her. [h]", "output": "her", "sentence": "Matt kissed her.", "letter": "h", "words": [ "her" ], "source": "train" }, "2553": { "input": "Reading about herself in the tabloids always annoys Sandra. [i]", "output": "in", "sentence": "Reading about herself in the tabloids always annoys Sandra.", "letter": "i", "words": [ "in" ], "source": "train" }, "2554": { "input": "This Government have been more transparent in the way they have dealt with public finances than any previous government. [f]", "output": "finances", "sentence": "This Government have been more transparent in the way they have dealt with public finances than any previous government.", "letter": "f", "words": [ "finances" ], "source": "train" }, "2555": { "input": "That he is a fool is suspected by no one. [o]", "output": "one", "sentence": "That he is a fool is suspected by no one.", "letter": "o", "words": [ "one" ], "source": "train" }, "2556": { "input": "This noise cannot be put up with. [u]", "output": "up", "sentence": "This noise cannot be put up with.", "letter": "u", "words": [ "up" ], "source": "train" }, "2557": { "input": "Smith loaned and his widow later donated a valuable collection of manuscripts to the library. [l]", "output": "loaned later library", "sentence": "Smith loaned and his widow later donated a valuable collection of manuscripts to the library.", "letter": "l", "words": [ "loaned", "later", "library" ], "source": "train" }, "2558": { "input": "Who is reading a book that criticizes who? [b]", "output": "book", "sentence": "Who is reading a book that criticizes who?", "letter": "b", "words": [ "book" ], "source": "train" }, "2559": { "input": "John loaded the truck with bricks. [j]", "output": "john", "sentence": "John loaded the truck with bricks.", "letter": "j", "words": [ "John" ], "source": "train" }, "2560": { "input": "Flora cooks. [c]", "output": "cooks", "sentence": "Flora cooks.", "letter": "c", "words": [ "cooks" ], "source": "train" }, "2561": { "input": "What did Bill claim that he read? [b]", "output": "bill", "sentence": "What did Bill claim that he read?", "letter": "b", "words": [ "Bill" ], "source": "train" }, "2562": { "input": "Do you like peanut butter? [d]", "output": "do", "sentence": "Do you like peanut butter?", "letter": "d", "words": [ "Do" ], "source": "train" }, "2563": { "input": "I want it to remain a secret that Bill left. [i]", "output": "i it", "sentence": "I want it to remain a secret that Bill left.", "letter": "i", "words": [ "I", "it" ], "source": "train" }, "2564": { "input": "No one knows how to tell from a good beer to a bad one. [b]", "output": "beer bad", "sentence": "No one knows how to tell from a good beer to a bad one.", "letter": "b", "words": [ "beer", "bad" ], "source": "train" }, "2565": { "input": "The cottage which Mrs Dashwood accepted was rather small. [d]", "output": "dashwood", "sentence": "The cottage which Mrs Dashwood accepted was rather small.", "letter": "d", "words": [ "Dashwood" ], "source": "train" }, "2566": { "input": "You have presented so elegant a solution that we can only admire it. [o]", "output": "only", "sentence": "You have presented so elegant a solution that we can only admire it.", "letter": "o", "words": [ "only" ], "source": "train" }, "2567": { "input": "Nora brought the book from horne. [b]", "output": "brought book", "sentence": "Nora brought the book from horne.", "letter": "b", "words": [ "brought", "book" ], "source": "train" }, "2568": { "input": "The medal was given to the soldier by Phillip. [m]", "output": "medal", "sentence": "The medal was given to the soldier by Phillip.", "letter": "m", "words": [ "medal" ], "source": "train" }, "2569": { "input": "The pig grunts [p]", "output": "pig", "sentence": "The pig grunts", "letter": "p", "words": [ "pig" ], "source": "train" }, "2570": { "input": "Alison poked the cloth with a needle. [a]", "output": "alison a", "sentence": "Alison poked the cloth with a needle.", "letter": "a", "words": [ "Alison", "a" ], "source": "train" }, "2571": { "input": "I asked which king invaded which city. [i]", "output": "i invaded", "sentence": "I asked which king invaded which city.", "letter": "i", "words": [ "I", "invaded" ], "source": "train" }, "2572": { "input": "No one suspects that he is a fool. [h]", "output": "he", "sentence": "No one suspects that he is a fool.", "letter": "h", "words": [ "he" ], "source": "train" }, "2573": { "input": "Jane Fairfax received a piano from Frank. [j]", "output": "jane", "sentence": "Jane Fairfax received a piano from Frank.", "letter": "j", "words": [ "Jane" ], "source": "train" }, "2574": { "input": "Mary jumped the horse over the last fence perfectly. [f]", "output": "fence", "sentence": "Mary jumped the horse over the last fence perfectly.", "letter": "f", "words": [ "fence" ], "source": "train" }, "2575": { "input": "I was surprised that he stole the watch, in as far as that was a daring thing to do. [f]", "output": "far", "sentence": "I was surprised that he stole the watch, in as far as that was a daring thing to do.", "letter": "f", "words": [ "far" ], "source": "train" }, "2576": { "input": "Cynthia munched on peaches. [p]", "output": "peaches", "sentence": "Cynthia munched on peaches.", "letter": "p", "words": [ "peaches" ], "source": "train" }, "2577": { "input": "Alan told me who wanted to seem to be invincible. [b]", "output": "be", "sentence": "Alan told me who wanted to seem to be invincible.", "letter": "b", "words": [ "be" ], "source": "train" }, "2578": { "input": "That the golden thread would show Jason his path through the labyrinth was [g]", "output": "golden", "sentence": "That the golden thread would show Jason his path through the labyrinth was", "letter": "g", "words": [ "golden" ], "source": "train" }, "2579": { "input": "Robert knows it is essential that he is well behaved. [t]", "output": "that", "sentence": "Robert knows it is essential that he is well behaved.", "letter": "t", "words": [ "that" ], "source": "train" }, "2580": { "input": "These fields were marched over by all the armies of Europe. [f]", "output": "fields", "sentence": "These fields were marched over by all the armies of Europe.", "letter": "f", "words": [ "fields" ], "source": "train" }, "2581": { "input": "Who did you think Mary saw? [m]", "output": "mary", "sentence": "Who did you think Mary saw?", "letter": "m", "words": [ "Mary" ], "source": "train" }, "2582": { "input": "The stone knocked the cup apart. [c]", "output": "cup", "sentence": "The stone knocked the cup apart.", "letter": "c", "words": [ "cup" ], "source": "train" }, "2583": { "input": "Merlin is extremely evil. [i]", "output": "is", "sentence": "Merlin is extremely evil.", "letter": "i", "words": [ "is" ], "source": "train" }, "2584": { "input": "Nora brought the book to Pamela. [p]", "output": "pamela", "sentence": "Nora brought the book to Pamela.", "letter": "p", "words": [ "Pamela" ], "source": "train" }, "2585": { "input": "It is not true that it was obvious that it would confuse the guards for Herschel to throw a fit. [a]", "output": "a", "sentence": "It is not true that it was obvious that it would confuse the guards for Herschel to throw a fit.", "letter": "a", "words": [ "a" ], "source": "train" }, "2586": { "input": "John suddenly put off the customers. [p]", "output": "put", "sentence": "John suddenly put off the customers.", "letter": "p", "words": [ "put" ], "source": "train" }, "2587": { "input": "What did he get the impression that the problem really was? [g]", "output": "get", "sentence": "What did he get the impression that the problem really was?", "letter": "g", "words": [ "get" ], "source": "train" }, "2588": { "input": "I know how much you ate. [y]", "output": "you", "sentence": "I know how much you ate.", "letter": "y", "words": [ "you" ], "source": "train" }, "2589": { "input": "John promised Bill to leave. [l]", "output": "leave", "sentence": "John promised Bill to leave.", "letter": "l", "words": [ "leave" ], "source": "train" }, "2590": { "input": "My uncle visited today. [t]", "output": "today", "sentence": "My uncle visited today.", "letter": "t", "words": [ "today" ], "source": "train" }, "2591": { "input": "Press the pad with the stamp completely. [c]", "output": "completely", "sentence": "Press the pad with the stamp completely.", "letter": "c", "words": [ "completely" ], "source": "train" }, "2592": { "input": "With him sick, the team is in trouble. [t]", "output": "the team trouble", "sentence": "With him sick, the team is in trouble.", "letter": "t", "words": [ "the", "team", "trouble" ], "source": "train" }, "2593": { "input": "The more examples Mary says that Bill has helped Fred to discover the less I believe her. [f]", "output": "fred", "sentence": "The more examples Mary says that Bill has helped Fred to discover the less I believe her.", "letter": "f", "words": [ "Fred" ], "source": "train" }, "2594": { "input": "It is rumored that he is on his way out. [r]", "output": "rumored", "sentence": "It is rumored that he is on his way out.", "letter": "r", "words": [ "rumored" ], "source": "train" }, "2595": { "input": "I wonder in which pocket it was that Kim had hidden the jewels. [p]", "output": "pocket", "sentence": "I wonder in which pocket it was that Kim had hidden the jewels.", "letter": "p", "words": [ "pocket" ], "source": "train" }, "2596": { "input": "John made it clear that he would finish it on time. [o]", "output": "on", "sentence": "John made it clear that he would finish it on time.", "letter": "o", "words": [ "on" ], "source": "train" }, "2597": { "input": "The harder it has rained, how much faster a flow appears in the river? [h]", "output": "harder has how", "sentence": "The harder it has rained, how much faster a flow appears in the river?", "letter": "h", "words": [ "harder", "has", "how" ], "source": "train" }, "2598": { "input": "Everyone thinks he is smart. [t]", "output": "thinks", "sentence": "Everyone thinks he is smart.", "letter": "t", "words": [ "thinks" ], "source": "train" }, "2599": { "input": "John believes that he is sick. [b]", "output": "believes", "sentence": "John believes that he is sick.", "letter": "b", "words": [ "believes" ], "source": "train" }, "2600": { "input": "Bob proved that this set is recursive. [s]", "output": "set", "sentence": "Bob proved that this set is recursive.", "letter": "s", "words": [ "set" ], "source": "train" }, "2601": { "input": "Pat remembered the appointment and that it was important to be on time. [w]", "output": "was", "sentence": "Pat remembered the appointment and that it was important to be on time.", "letter": "w", "words": [ "was" ], "source": "train" }, "2602": { "input": "I wonder on which shelf John will put the book? [s]", "output": "shelf", "sentence": "I wonder on which shelf John will put the book?", "letter": "s", "words": [ "shelf" ], "source": "train" }, "2603": { "input": "Being honest is not an easy task. [t]", "output": "task", "sentence": "Being honest is not an easy task.", "letter": "t", "words": [ "task" ], "source": "train" }, "2604": { "input": "Was the piano bought for Jane by Frank? [b]", "output": "bought by", "sentence": "Was the piano bought for Jane by Frank?", "letter": "b", "words": [ "bought", "by" ], "source": "train" }, "2605": { "input": "Me, I like beer. [i]", "output": "i", "sentence": "Me, I like beer.", "letter": "i", "words": [ "I" ], "source": "train" }, "2606": { "input": "A lot of clothes are drying on the line. [d]", "output": "drying", "sentence": "A lot of clothes are drying on the line.", "letter": "d", "words": [ "drying" ], "source": "train" }, "2607": { "input": "Calvin will strike himself and Otto will too. [o]", "output": "otto", "sentence": "Calvin will strike himself and Otto will too.", "letter": "o", "words": [ "Otto" ], "source": "train" }, "2608": { "input": "That it was obvious that it would confuse the guards for Herschel to throw a fit is not true. [c]", "output": "confuse", "sentence": "That it was obvious that it would confuse the guards for Herschel to throw a fit is not true.", "letter": "c", "words": [ "confuse" ], "source": "train" }, "2609": { "input": "It seems that John is likely to win. [t]", "output": "that to", "sentence": "It seems that John is likely to win.", "letter": "t", "words": [ "that", "to" ], "source": "train" }, "2610": { "input": "The fence straddles the sidewalk. [f]", "output": "fence", "sentence": "The fence straddles the sidewalk.", "letter": "f", "words": [ "fence" ], "source": "train" }, "2611": { "input": "John told us that we should review the book. [r]", "output": "review", "sentence": "John told us that we should review the book.", "letter": "r", "words": [ "review" ], "source": "train" }, "2612": { "input": "The knowledge of the problem is quite thorough. [o]", "output": "of", "sentence": "The knowledge of the problem is quite thorough.", "letter": "o", "words": [ "of" ], "source": "train" }, "2613": { "input": "John whined that he was hungry. [h]", "output": "he hungry", "sentence": "John whined that he was hungry.", "letter": "h", "words": [ "he", "hungry" ], "source": "train" }, "2614": { "input": "I separated the yolk and the white. [i]", "output": "i", "sentence": "I separated the yolk and the white.", "letter": "i", "words": [ "I" ], "source": "train" }, "2615": { "input": "Bob proved this set is recursive. [p]", "output": "proved", "sentence": "Bob proved this set is recursive.", "letter": "p", "words": [ "proved" ], "source": "train" }, "2616": { "input": "I mixed the eggs with cream. [w]", "output": "with", "sentence": "I mixed the eggs with cream.", "letter": "w", "words": [ "with" ], "source": "train" }, "2617": { "input": "That joke never fails to amuse little children. [j]", "output": "joke", "sentence": "That joke never fails to amuse little children.", "letter": "j", "words": [ "joke" ], "source": "train" }, "2618": { "input": "I wonder whether Mary has worked for Microsoft. [m]", "output": "mary microsoft", "sentence": "I wonder whether Mary has worked for Microsoft.", "letter": "m", "words": [ "Mary", "Microsoft" ], "source": "train" }, "2619": { "input": "What Tom said Al thought you wanted me to make Jack put on was this hat. [o]", "output": "on", "sentence": "What Tom said Al thought you wanted me to make Jack put on was this hat.", "letter": "o", "words": [ "on" ], "source": "train" }, "2620": { "input": "I like Mary and she likes me. [s]", "output": "she", "sentence": "I like Mary and she likes me.", "letter": "s", "words": [ "she" ], "source": "train" }, "2621": { "input": "The more obnoxious Fred is, the less attention you should pay to him. [m]", "output": "more", "sentence": "The more obnoxious Fred is, the less attention you should pay to him.", "letter": "m", "words": [ "more" ], "source": "train" }, "2622": { "input": "His expectations are always lower than mine. [t]", "output": "than", "sentence": "His expectations are always lower than mine.", "letter": "t", "words": [ "than" ], "source": "train" }, "2623": { "input": "The unidentified victim was apparently struck during the early morning hours. [v]", "output": "victim", "sentence": "The unidentified victim was apparently struck during the early morning hours.", "letter": "v", "words": [ "victim" ], "source": "train" }, "2624": { "input": "Romeo sent letters to Juliet. [s]", "output": "sent", "sentence": "Romeo sent letters to Juliet.", "letter": "s", "words": [ "sent" ], "source": "train" }, "2625": { "input": "Barbara handed the intriguing results of the latest examination to Alan on Tuesday. [e]", "output": "examination", "sentence": "Barbara handed the intriguing results of the latest examination to Alan on Tuesday.", "letter": "e", "words": [ "examination" ], "source": "train" }, "2626": { "input": "Why did you kill Pegasus? [k]", "output": "kill", "sentence": "Why did you kill Pegasus?", "letter": "k", "words": [ "kill" ], "source": "train" }, "2627": { "input": "Smith loaned, and his widow later donated, a valuable collection of manuscripts to the library. [v]", "output": "valuable", "sentence": "Smith loaned, and his widow later donated, a valuable collection of manuscripts to the library.", "letter": "v", "words": [ "valuable" ], "source": "train" }, "2628": { "input": "I went to the store to buy some whisky. [w]", "output": "went whisky", "sentence": "I went to the store to buy some whisky.", "letter": "w", "words": [ "went", "whisky" ], "source": "train" }, "2629": { "input": "Terry touched the cat. [t]", "output": "terry touched the", "sentence": "Terry touched the cat.", "letter": "t", "words": [ "Terry", "touched", "the" ], "source": "train" }, "2630": { "input": "A man just came in and a woman went out who hate each other like poison and always have. [m]", "output": "man", "sentence": "A man just came in and a woman went out who hate each other like poison and always have.", "letter": "m", "words": [ "man" ], "source": "train" }, "2631": { "input": "Jasper wonders which book he should attempt to persuade his students to buy. [a]", "output": "attempt", "sentence": "Jasper wonders which book he should attempt to persuade his students to buy.", "letter": "a", "words": [ "attempt" ], "source": "train" }, "2632": { "input": "No boys will put a picture of Bill on your desk before tomorrow. [p]", "output": "put picture", "sentence": "No boys will put a picture of Bill on your desk before tomorrow.", "letter": "p", "words": [ "put", "picture" ], "source": "train" }, "2633": { "input": "The pigs grunt [g]", "output": "grunt", "sentence": "The pigs grunt", "letter": "g", "words": [ "grunt" ], "source": "train" }, "2634": { "input": "So much did you eat that everyone gasped. [e]", "output": "eat everyone", "sentence": "So much did you eat that everyone gasped.", "letter": "e", "words": [ "eat", "everyone" ], "source": "train" }, "2635": { "input": "The video which I thought you recommended was really terrific. [y]", "output": "you", "sentence": "The video which I thought you recommended was really terrific.", "letter": "y", "words": [ "you" ], "source": "train" }, "2636": { "input": "That kind of behavior annoys me. [a]", "output": "annoys", "sentence": "That kind of behavior annoys me.", "letter": "a", "words": [ "annoys" ], "source": "train" }, "2637": { "input": "Chris was handed a note by Pat. [w]", "output": "was", "sentence": "Chris was handed a note by Pat.", "letter": "w", "words": [ "was" ], "source": "train" }, "2638": { "input": "We are aware of the existing problems. [t]", "output": "the", "sentence": "We are aware of the existing problems.", "letter": "t", "words": [ "the" ], "source": "train" }, "2639": { "input": "The paper provides many clues. [t]", "output": "the", "sentence": "The paper provides many clues.", "letter": "t", "words": [ "The" ], "source": "train" }, "2640": { "input": "I threw the ball to Maria. [t]", "output": "threw the to", "sentence": "I threw the ball to Maria.", "letter": "t", "words": [ "threw", "the", "to" ], "source": "train" }, "2641": { "input": "She is dancing. [i]", "output": "is", "sentence": "She is dancing.", "letter": "i", "words": [ "is" ], "source": "train" }, "2642": { "input": "Imogen broke the vase. [b]", "output": "broke", "sentence": "Imogen broke the vase.", "letter": "b", "words": [ "broke" ], "source": "train" }, "2643": { "input": "Briana showed Justin himself. [j]", "output": "justin", "sentence": "Briana showed Justin himself.", "letter": "j", "words": [ "Justin" ], "source": "train" }, "2644": { "input": "The hardest that it ever snowed was last January th. [i]", "output": "it", "sentence": "The hardest that it ever snowed was last January th.", "letter": "i", "words": [ "it" ], "source": "train" }, "2645": { "input": "Heidi thinks that pictures of herself are beautiful. [t]", "output": "thinks that", "sentence": "Heidi thinks that pictures of herself are beautiful.", "letter": "t", "words": [ "thinks", "that" ], "source": "train" }, "2646": { "input": "Jackie chased the thief down the street. [c]", "output": "chased", "sentence": "Jackie chased the thief down the street.", "letter": "c", "words": [ "chased" ], "source": "train" }, "2647": { "input": "That Dan smokes in the office really bothers Alina. [o]", "output": "office", "sentence": "That Dan smokes in the office really bothers Alina.", "letter": "o", "words": [ "office" ], "source": "train" }, "2648": { "input": "Who loves whom? [w]", "output": "who whom", "sentence": "Who loves whom?", "letter": "w", "words": [ "Who", "whom" ], "source": "train" }, "2649": { "input": "Jos likes cabbage, and Holly does too. [l]", "output": "likes", "sentence": "Jos likes cabbage, and Holly does too.", "letter": "l", "words": [ "likes" ], "source": "train" }, "2650": { "input": "Do you believe that somebody was looking for something? [t]", "output": "that", "sentence": "Do you believe that somebody was looking for something?", "letter": "t", "words": [ "that" ], "source": "train" }, "2651": { "input": "I like the book that you gave me. [y]", "output": "you", "sentence": "I like the book that you gave me.", "letter": "y", "words": [ "you" ], "source": "train" }, "2652": { "input": "John suddenly put the customers off. [s]", "output": "suddenly", "sentence": "John suddenly put the customers off.", "letter": "s", "words": [ "suddenly" ], "source": "train" }, "2653": { "input": "Would you mind taking out the garbage? [y]", "output": "you", "sentence": "Would you mind taking out the garbage?", "letter": "y", "words": [ "you" ], "source": "train" }, "2654": { "input": "I am fond of him. [f]", "output": "fond", "sentence": "I am fond of him.", "letter": "f", "words": [ "fond" ], "source": "train" }, "2655": { "input": "The concert started when the bell rang. [w]", "output": "when", "sentence": "The concert started when the bell rang.", "letter": "w", "words": [ "when" ], "source": "train" }, "2656": { "input": "Ellen warned Helen about the traffic jam. [h]", "output": "helen", "sentence": "Ellen warned Helen about the traffic jam.", "letter": "h", "words": [ "Helen" ], "source": "train" }, "2657": { "input": "Dorothy needs her for her skills. [d]", "output": "dorothy", "sentence": "Dorothy needs her for her skills.", "letter": "d", "words": [ "Dorothy" ], "source": "train" }, "2658": { "input": "There remained just a few problems to be solved. [j]", "output": "just", "sentence": "There remained just a few problems to be solved.", "letter": "j", "words": [ "just" ], "source": "train" }, "2659": { "input": "Mary loves him. [l]", "output": "loves", "sentence": "Mary loves him.", "letter": "l", "words": [ "loves" ], "source": "train" }, "2660": { "input": "Do you believe that somebody was looking for something? [l]", "output": "looking", "sentence": "Do you believe that somebody was looking for something?", "letter": "l", "words": [ "looking" ], "source": "train" }, "2661": { "input": "Ellen and Helen conferred. [e]", "output": "ellen", "sentence": "Ellen and Helen conferred.", "letter": "e", "words": [ "Ellen" ], "source": "train" }, "2662": { "input": "I expect soon to see the results. [t]", "output": "to the", "sentence": "I expect soon to see the results.", "letter": "t", "words": [ "to", "the" ], "source": "train" }, "2663": { "input": "Who do you think will question Seamus first? [w]", "output": "who will", "sentence": "Who do you think will question Seamus first?", "letter": "w", "words": [ "Who", "will" ], "source": "train" }, "2664": { "input": "John will have been eating cake enthusiastically. [b]", "output": "been", "sentence": "John will have been eating cake enthusiastically.", "letter": "b", "words": [ "been" ], "source": "train" }, "2665": { "input": "Martha carves. [c]", "output": "carves", "sentence": "Martha carves.", "letter": "c", "words": [ "carves" ], "source": "train" }, "2666": { "input": "That the police would arrest several rioters was a certainty. [c]", "output": "certainty", "sentence": "That the police would arrest several rioters was a certainty.", "letter": "c", "words": [ "certainty" ], "source": "train" }, "2667": { "input": "John paid a dollar for a head of lettuce. [h]", "output": "head", "sentence": "John paid a dollar for a head of lettuce.", "letter": "h", "words": [ "head" ], "source": "train" }, "2668": { "input": "There are three Davids in my class. [c]", "output": "class", "sentence": "There are three Davids in my class.", "letter": "c", "words": [ "class" ], "source": "train" }, "2669": { "input": "Bill confirmed that Roger has eaten the cake. [h]", "output": "has", "sentence": "Bill confirmed that Roger has eaten the cake.", "letter": "h", "words": [ "has" ], "source": "train" }, "2670": { "input": "A soldier should be prepared to die for her country. [b]", "output": "be", "sentence": "A soldier should be prepared to die for her country.", "letter": "b", "words": [ "be" ], "source": "train" }, "2671": { "input": "For Jenny, I intended to be present. [b]", "output": "be", "sentence": "For Jenny, I intended to be present.", "letter": "b", "words": [ "be" ], "source": "train" }, "2672": { "input": "Fanny loved talking to Mary. [l]", "output": "loved", "sentence": "Fanny loved talking to Mary.", "letter": "l", "words": [ "loved" ], "source": "train" }, "2673": { "input": "Jasmine pushed the door open. [j]", "output": "jasmine", "sentence": "Jasmine pushed the door open.", "letter": "j", "words": [ "Jasmine" ], "source": "train" }, "2674": { "input": "The man holding the bottle disappeared. [h]", "output": "holding", "sentence": "The man holding the bottle disappeared.", "letter": "h", "words": [ "holding" ], "source": "train" }, "2675": { "input": "It is very difficult to get an idea for a book simply from an interview. [b]", "output": "book", "sentence": "It is very difficult to get an idea for a book simply from an interview.", "letter": "b", "words": [ "book" ], "source": "train" }, "2676": { "input": "Paula swatted the fly with a cloth. [w]", "output": "with", "sentence": "Paula swatted the fly with a cloth.", "letter": "w", "words": [ "with" ], "source": "train" }, "2677": { "input": "For me to concentrate on calculus is difficult. [m]", "output": "me", "sentence": "For me to concentrate on calculus is difficult.", "letter": "m", "words": [ "me" ], "source": "train" }, "2678": { "input": "John sang a song, Mary played the piano. [m]", "output": "mary", "sentence": "John sang a song, Mary played the piano.", "letter": "m", "words": [ "Mary" ], "source": "train" }, "2679": { "input": "John bought a book for the student. [j]", "output": "john", "sentence": "John bought a book for the student.", "letter": "j", "words": [ "John" ], "source": "train" }, "2680": { "input": "Bob does not think that there is anyone from Greece in his basement. [i]", "output": "is in", "sentence": "Bob does not think that there is anyone from Greece in his basement.", "letter": "i", "words": [ "is", "in" ], "source": "train" }, "2681": { "input": "I bought you a ticket for . [t]", "output": "ticket", "sentence": "I bought you a ticket for .", "letter": "t", "words": [ "ticket" ], "source": "train" }, "2682": { "input": "That it was obvious that it would confuse the guards for Herschel to throw a fit is not true. [w]", "output": "was would", "sentence": "That it was obvious that it would confuse the guards for Herschel to throw a fit is not true.", "letter": "w", "words": [ "was", "would" ], "source": "train" }, "2683": { "input": "Which chemical did you mix the hydrogen peroxide and? [m]", "output": "mix", "sentence": "Which chemical did you mix the hydrogen peroxide and?", "letter": "m", "words": [ "mix" ], "source": "train" }, "2684": { "input": "Carol cut at the bread. [t]", "output": "the", "sentence": "Carol cut at the bread.", "letter": "t", "words": [ "the" ], "source": "train" }, "2685": { "input": "A fellow student saw this felt sorry for Miss Kim and offered her his own book. [h]", "output": "her his", "sentence": "A fellow student saw this felt sorry for Miss Kim and offered her his own book.", "letter": "h", "words": [ "her", "his" ], "source": "train" }, "2686": { "input": "The door has a fresh coat of paint. [o]", "output": "of", "sentence": "The door has a fresh coat of paint.", "letter": "o", "words": [ "of" ], "source": "train" }, "2687": { "input": "Donna fixed a sandwich. [a]", "output": "a", "sentence": "Donna fixed a sandwich.", "letter": "a", "words": [ "a" ], "source": "train" }, "2688": { "input": "The men are dancing. [t]", "output": "the", "sentence": "The men are dancing.", "letter": "t", "words": [ "The" ], "source": "train" }, "2689": { "input": "John rolled the ball from the tree to the bush. [b]", "output": "ball bush", "sentence": "John rolled the ball from the tree to the bush.", "letter": "b", "words": [ "ball", "bush" ], "source": "train" }, "2690": { "input": "It is not true that I have left yet. [i]", "output": "it is i", "sentence": "It is not true that I have left yet.", "letter": "i", "words": [ "It", "is", "I" ], "source": "train" }, "2691": { "input": "John promised Mary that he would leave. [h]", "output": "he", "sentence": "John promised Mary that he would leave.", "letter": "h", "words": [ "he" ], "source": "train" }, "2692": { "input": "That Plato lived in the city of Athens was well known. [l]", "output": "lived", "sentence": "That Plato lived in the city of Athens was well known.", "letter": "l", "words": [ "lived" ], "source": "train" }, "2693": { "input": "I had eaten the deep fried muffins. [m]", "output": "muffins", "sentence": "I had eaten the deep fried muffins.", "letter": "m", "words": [ "muffins" ], "source": "train" }, "2694": { "input": "I hope nobody will hurt themselves. [t]", "output": "themselves", "sentence": "I hope nobody will hurt themselves.", "letter": "t", "words": [ "themselves" ], "source": "train" }, "2695": { "input": "has no relative pronoun at all. [h]", "output": "has", "sentence": "has no relative pronoun at all.", "letter": "h", "words": [ "has" ], "source": "train" }, "2696": { "input": "for John to hurt himself is stupid. [t]", "output": "to", "sentence": "for John to hurt himself is stupid.", "letter": "t", "words": [ "to" ], "source": "train" }, "2697": { "input": "You should always lock your door, no matter how fancy the hotel might be. [h]", "output": "how hotel", "sentence": "You should always lock your door, no matter how fancy the hotel might be.", "letter": "h", "words": [ "how", "hotel" ], "source": "train" }, "2698": { "input": "John learned French perfectly almost immediately. [l]", "output": "learned", "sentence": "John learned French perfectly almost immediately.", "letter": "l", "words": [ "learned" ], "source": "train" }, "2699": { "input": "Jean is likely to leave. [l]", "output": "likely leave", "sentence": "Jean is likely to leave.", "letter": "l", "words": [ "likely", "leave" ], "source": "train" }, "2700": { "input": "Anson became the Mayor [m]", "output": "mayor", "sentence": "Anson became the Mayor", "letter": "m", "words": [ "Mayor" ], "source": "train" }, "2701": { "input": "Pauline smiled her thanks. [t]", "output": "thanks", "sentence": "Pauline smiled her thanks.", "letter": "t", "words": [ "thanks" ], "source": "train" }, "2702": { "input": "There is likely to be a letter in the mailbox. [t]", "output": "there to the", "sentence": "There is likely to be a letter in the mailbox.", "letter": "t", "words": [ "There", "to", "the" ], "source": "train" }, "2703": { "input": "Ryan hit Andrew. [r]", "output": "ryan", "sentence": "Ryan hit Andrew.", "letter": "r", "words": [ "Ryan" ], "source": "train" }, "2704": { "input": "The cattle are herding in the pasture. [h]", "output": "herding", "sentence": "The cattle are herding in the pasture.", "letter": "h", "words": [ "herding" ], "source": "train" }, "2705": { "input": "It was last night that the policeman met several young students in the park. [p]", "output": "policeman park", "sentence": "It was last night that the policeman met several young students in the park.", "letter": "p", "words": [ "policeman", "park" ], "source": "train" }, "2706": { "input": "Aphrodite may quickly free the animals. [a]", "output": "aphrodite animals", "sentence": "Aphrodite may quickly free the animals.", "letter": "a", "words": [ "Aphrodite", "animals" ], "source": "train" }, "2707": { "input": "The bear sniffs [b]", "output": "bear", "sentence": "The bear sniffs", "letter": "b", "words": [ "bear" ], "source": "train" }, "2708": { "input": "She buys for Harrods. [s]", "output": "she", "sentence": "She buys for Harrods.", "letter": "s", "words": [ "She" ], "source": "train" }, "2709": { "input": "We put a book on the table. [t]", "output": "the table", "sentence": "We put a book on the table.", "letter": "t", "words": [ "the", "table" ], "source": "train" }, "2710": { "input": "Is there anything I can do for you? [i]", "output": "is i", "sentence": "Is there anything I can do for you?", "letter": "i", "words": [ "Is", "I" ], "source": "train" }, "2711": { "input": "I spared him the trouble. [i]", "output": "i", "sentence": "I spared him the trouble.", "letter": "i", "words": [ "I" ], "source": "train" }, "2712": { "input": "He has not eaten yet today. [t]", "output": "today", "sentence": "He has not eaten yet today.", "letter": "t", "words": [ "today" ], "source": "train" }, "2713": { "input": "There were five tourists in the room apart from myself. [a]", "output": "apart", "sentence": "There were five tourists in the room apart from myself.", "letter": "a", "words": [ "apart" ], "source": "train" }, "2714": { "input": "Mary talks to any student. [t]", "output": "talks to", "sentence": "Mary talks to any student.", "letter": "t", "words": [ "talks", "to" ], "source": "train" }, "2715": { "input": "If anybody comes, he rings the doorbell. [r]", "output": "rings", "sentence": "If anybody comes, he rings the doorbell.", "letter": "r", "words": [ "rings" ], "source": "train" }, "2716": { "input": "They wanted to leave tomorrow or on Tuesday. [l]", "output": "leave", "sentence": "They wanted to leave tomorrow or on Tuesday.", "letter": "l", "words": [ "leave" ], "source": "train" }, "2717": { "input": "I hunted the secret out of him. [o]", "output": "out of", "sentence": "I hunted the secret out of him.", "letter": "o", "words": [ "out", "of" ], "source": "train" }, "2718": { "input": "I often send Mary home drunk, and she gets there just fine. [j]", "output": "just", "sentence": "I often send Mary home drunk, and she gets there just fine.", "letter": "j", "words": [ "just" ], "source": "train" }, "2719": { "input": "Every vampire slept. [e]", "output": "every", "sentence": "Every vampire slept.", "letter": "e", "words": [ "Every" ], "source": "train" }, "2720": { "input": "She was sent a review copy of the book. [o]", "output": "of", "sentence": "She was sent a review copy of the book.", "letter": "o", "words": [ "of" ], "source": "train" }, "2721": { "input": "The ball lies in the box. [i]", "output": "in", "sentence": "The ball lies in the box.", "letter": "i", "words": [ "in" ], "source": "train" }, "2722": { "input": "Tomorrow I promised chat he would be there. [i]", "output": "i", "sentence": "Tomorrow I promised chat he would be there.", "letter": "i", "words": [ "I" ], "source": "train" }, "2723": { "input": "Zeke cooked and ate the chili. [c]", "output": "cooked chili", "sentence": "Zeke cooked and ate the chili.", "letter": "c", "words": [ "cooked", "chili" ], "source": "train" }, "2724": { "input": "We wonder if Bill left. [b]", "output": "bill", "sentence": "We wonder if Bill left.", "letter": "b", "words": [ "Bill" ], "source": "train" }, "2725": { "input": "Jennifer baked Idaho potatoes. [b]", "output": "baked", "sentence": "Jennifer baked Idaho potatoes.", "letter": "b", "words": [ "baked" ], "source": "train" }, "2726": { "input": "The dog flopped in the comer. [c]", "output": "comer", "sentence": "The dog flopped in the comer.", "letter": "c", "words": [ "comer" ], "source": "train" }, "2727": { "input": "I read him two statements about himself. [a]", "output": "about", "sentence": "I read him two statements about himself.", "letter": "a", "words": [ "about" ], "source": "train" }, "2728": { "input": "The meat cuts easily. [t]", "output": "the", "sentence": "The meat cuts easily.", "letter": "t", "words": [ "The" ], "source": "train" }, "2729": { "input": "I have wanted to know for many years exactly what happened to Rosa. [w]", "output": "wanted what", "sentence": "I have wanted to know for many years exactly what happened to Rosa.", "letter": "w", "words": [ "wanted", "what" ], "source": "train" }, "2730": { "input": "Sarah sang a hymn. [a]", "output": "a", "sentence": "Sarah sang a hymn.", "letter": "a", "words": [ "a" ], "source": "train" }, "2731": { "input": "They believed that everybody would pass the test. [p]", "output": "pass", "sentence": "They believed that everybody would pass the test.", "letter": "p", "words": [ "pass" ], "source": "train" }, "2732": { "input": "The executive committee approved the new policy. [n]", "output": "new", "sentence": "The executive committee approved the new policy.", "letter": "n", "words": [ "new" ], "source": "train" }, "2733": { "input": "The music echoed. [e]", "output": "echoed", "sentence": "The music echoed.", "letter": "e", "words": [ "echoed" ], "source": "train" }, "2734": { "input": "To delay the march and to go ahead with it have been argued by different people at different times. [p]", "output": "people", "sentence": "To delay the march and to go ahead with it have been argued by different people at different times.", "letter": "p", "words": [ "people" ], "source": "train" }, "2735": { "input": "I run on the beach. [t]", "output": "the", "sentence": "I run on the beach.", "letter": "t", "words": [ "the" ], "source": "train" }, "2736": { "input": "Cohen proved that the continuum hypothesis was independent. [w]", "output": "was", "sentence": "Cohen proved that the continuum hypothesis was independent.", "letter": "w", "words": [ "was" ], "source": "train" }, "2737": { "input": "June covered the baby with a blanket. [j]", "output": "june", "sentence": "June covered the baby with a blanket.", "letter": "j", "words": [ "June" ], "source": "train" }, "2738": { "input": "Mrs Bennet having taken the others upstairs, Mr Bingley proposed to. [u]", "output": "upstairs", "sentence": "Mrs Bennet having taken the others upstairs, Mr Bingley proposed to.", "letter": "u", "words": [ "upstairs" ], "source": "train" }, "2739": { "input": "Did you believe him to ever have made an effort to talk to the student? [y]", "output": "you", "sentence": "Did you believe him to ever have made an effort to talk to the student?", "letter": "y", "words": [ "you" ], "source": "train" }, "2740": { "input": "Fred hired Sharon to change the oil. [t]", "output": "to the", "sentence": "Fred hired Sharon to change the oil.", "letter": "t", "words": [ "to", "the" ], "source": "train" }, "2741": { "input": "Which poet wrote which ode? [p]", "output": "poet", "sentence": "Which poet wrote which ode?", "letter": "p", "words": [ "poet" ], "source": "train" }, "2742": { "input": "The very young child walked from school to the store. [f]", "output": "from", "sentence": "The very young child walked from school to the store.", "letter": "f", "words": [ "from" ], "source": "train" }, "2743": { "input": "In the early morning is when I do my best research. [w]", "output": "when", "sentence": "In the early morning is when I do my best research.", "letter": "w", "words": [ "when" ], "source": "train" }, "2744": { "input": "Dracula thought him to be the Prince of Darkness. [o]", "output": "of", "sentence": "Dracula thought him to be the Prince of Darkness.", "letter": "o", "words": [ "of" ], "source": "train" }, "2745": { "input": "John put the book on the table with a pair of tongs. [o]", "output": "on of", "sentence": "John put the book on the table with a pair of tongs.", "letter": "o", "words": [ "on", "of" ], "source": "train" }, "2746": { "input": "It was the man I saw that you wanted to meet. [i]", "output": "it i", "sentence": "It was the man I saw that you wanted to meet.", "letter": "i", "words": [ "It", "I" ], "source": "train" }, "2747": { "input": "This girl in the red coat or you will put a picture of Bill on your desk before tomorrow. [b]", "output": "bill before", "sentence": "This girl in the red coat or you will put a picture of Bill on your desk before tomorrow.", "letter": "b", "words": [ "Bill", "before" ], "source": "train" }, "2748": { "input": "These stories about himself worry John more than anything else. [a]", "output": "about anything", "sentence": "These stories about himself worry John more than anything else.", "letter": "a", "words": [ "about", "anything" ], "source": "train" }, "2749": { "input": "The sheriff denied that gangsters had bribed him. [g]", "output": "gangsters", "sentence": "The sheriff denied that gangsters had bribed him.", "letter": "g", "words": [ "gangsters" ], "source": "train" }, "2750": { "input": "The cat shot into the kitchen on Sunday morning carrying a dead mouse. [o]", "output": "on", "sentence": "The cat shot into the kitchen on Sunday morning carrying a dead mouse.", "letter": "o", "words": [ "on" ], "source": "train" }, "2751": { "input": "Fred must have been singing songs and probably was drinking beer. [b]", "output": "been beer", "sentence": "Fred must have been singing songs and probably was drinking beer.", "letter": "b", "words": [ "been", "beer" ], "source": "train" }, "2752": { "input": "The more obnoxious Fred is, the less attention you should pay to him. [i]", "output": "is", "sentence": "The more obnoxious Fred is, the less attention you should pay to him.", "letter": "i", "words": [ "is" ], "source": "train" }, "2753": { "input": "John will kick the ball. [w]", "output": "will", "sentence": "John will kick the ball.", "letter": "w", "words": [ "will" ], "source": "train" }, "2754": { "input": "He made it clear he would continue to co operate with the United Nations. [w]", "output": "would with", "sentence": "He made it clear he would continue to co operate with the United Nations.", "letter": "w", "words": [ "would", "with" ], "source": "train" }, "2755": { "input": "The piano was bought for Jane by Frank. [p]", "output": "piano", "sentence": "The piano was bought for Jane by Frank.", "letter": "p", "words": [ "piano" ], "source": "train" }, "2756": { "input": "Romeo conceded that he and Juliet were going steady. [g]", "output": "going", "sentence": "Romeo conceded that he and Juliet were going steady.", "letter": "g", "words": [ "going" ], "source": "train" }, "2757": { "input": "Carol cut at the bread. [b]", "output": "bread", "sentence": "Carol cut at the bread.", "letter": "b", "words": [ "bread" ], "source": "train" }, "2758": { "input": "Duty made them never miss the weekly meetings. [t]", "output": "them the", "sentence": "Duty made them never miss the weekly meetings.", "letter": "t", "words": [ "them", "the" ], "source": "train" }, "2759": { "input": "Herman mixed the eggs and the cream together. [m]", "output": "mixed", "sentence": "Herman mixed the eggs and the cream together.", "letter": "m", "words": [ "mixed" ], "source": "train" }, "2760": { "input": "The official to whom Smith loaned the money has been indicted. [o]", "output": "official", "sentence": "The official to whom Smith loaned the money has been indicted.", "letter": "o", "words": [ "official" ], "source": "train" }, "2761": { "input": "John seems to have left. [j]", "output": "john", "sentence": "John seems to have left.", "letter": "j", "words": [ "John" ], "source": "train" }, "2762": { "input": "Heather cabled Sara about the situation. [t]", "output": "the", "sentence": "Heather cabled Sara about the situation.", "letter": "t", "words": [ "the" ], "source": "train" }, "2763": { "input": "Bill went to London on Monday. [o]", "output": "on", "sentence": "Bill went to London on Monday.", "letter": "o", "words": [ "on" ], "source": "train" }, "2764": { "input": "Ron yawned himself awake. [a]", "output": "awake", "sentence": "Ron yawned himself awake.", "letter": "a", "words": [ "awake" ], "source": "train" }, "2765": { "input": "I want all the students who have ever tried to pat Fido to show me their scars. [f]", "output": "fido", "sentence": "I want all the students who have ever tried to pat Fido to show me their scars.", "letter": "f", "words": [ "Fido" ], "source": "train" }, "2766": { "input": "John gave the CDs to the boys. [c]", "output": "cds", "sentence": "John gave the CDs to the boys.", "letter": "c", "words": [ "CDs" ], "source": "train" }, "2767": { "input": "John studied hard to pass the exam. [e]", "output": "exam", "sentence": "John studied hard to pass the exam.", "letter": "e", "words": [ "exam" ], "source": "train" }, "2768": { "input": "Whom did Bill leave. [w]", "output": "whom", "sentence": "Whom did Bill leave.", "letter": "w", "words": [ "Whom" ], "source": "train" }, "2769": { "input": "There were five tourists in the room apart from myself. [i]", "output": "in", "sentence": "There were five tourists in the room apart from myself.", "letter": "i", "words": [ "in" ], "source": "train" }, "2770": { "input": "The therapist analysed Lucy [a]", "output": "analysed", "sentence": "The therapist analysed Lucy", "letter": "a", "words": [ "analysed" ], "source": "train" }, "2771": { "input": "Every student who handed in any homework will get a prize. [s]", "output": "student", "sentence": "Every student who handed in any homework will get a prize.", "letter": "s", "words": [ "student" ], "source": "train" }, "2772": { "input": "Only Churchill remembered his giving the Blood, Sweat and Tears speech. [s]", "output": "sweat speech", "sentence": "Only Churchill remembered his giving the Blood, Sweat and Tears speech.", "letter": "s", "words": [ "Sweat", "speech" ], "source": "train" }, "2773": { "input": "John hummed, and Mary sang, at equal volumes. [j]", "output": "john", "sentence": "John hummed, and Mary sang, at equal volumes.", "letter": "j", "words": [ "John" ], "source": "train" }, "2774": { "input": "Fred hired Sharon to change the oil. [c]", "output": "change", "sentence": "Fred hired Sharon to change the oil.", "letter": "c", "words": [ "change" ], "source": "train" }, "2775": { "input": "Last year I saw this film several times. [s]", "output": "saw several", "sentence": "Last year I saw this film several times.", "letter": "s", "words": [ "saw", "several" ], "source": "train" }, "2776": { "input": "A cat jumped onto the table. [t]", "output": "the table", "sentence": "A cat jumped onto the table.", "letter": "t", "words": [ "the", "table" ], "source": "train" }, "2777": { "input": "Did John find the solution? [f]", "output": "find", "sentence": "Did John find the solution?", "letter": "f", "words": [ "find" ], "source": "train" }, "2778": { "input": "I wonder whom Sandy loves. [w]", "output": "wonder whom", "sentence": "I wonder whom Sandy loves.", "letter": "w", "words": [ "wonder", "whom" ], "source": "train" }, "2779": { "input": "The pond froze solid. [f]", "output": "froze", "sentence": "The pond froze solid.", "letter": "f", "words": [ "froze" ], "source": "train" }, "2780": { "input": "It is not entirely clear if the more you eat, the less you want. [e]", "output": "entirely eat", "sentence": "It is not entirely clear if the more you eat, the less you want.", "letter": "e", "words": [ "entirely", "eat" ], "source": "train" }, "2781": { "input": "No one could remove the blood from the wall [r]", "output": "remove", "sentence": "No one could remove the blood from the wall", "letter": "r", "words": [ "remove" ], "source": "train" }, "2782": { "input": "The door has a fresh coat of paint. [h]", "output": "has", "sentence": "The door has a fresh coat of paint.", "letter": "h", "words": [ "has" ], "source": "train" }, "2783": { "input": "John tagged Lewis with a regulation baseball on Tuesday. [w]", "output": "with", "sentence": "John tagged Lewis with a regulation baseball on Tuesday.", "letter": "w", "words": [ "with" ], "source": "train" }, "2784": { "input": "Kim jogs on the hill. [h]", "output": "hill", "sentence": "Kim jogs on the hill.", "letter": "h", "words": [ "hill" ], "source": "train" }, "2785": { "input": "I admired him for his courage. [h]", "output": "him his", "sentence": "I admired him for his courage.", "letter": "h", "words": [ "him", "his" ], "source": "train" }, "2786": { "input": "I know who is mad at John. [i]", "output": "i is", "sentence": "I know who is mad at John.", "letter": "i", "words": [ "I", "is" ], "source": "train" }, "2787": { "input": "It is certain that John has loved Mary. [j]", "output": "john", "sentence": "It is certain that John has loved Mary.", "letter": "j", "words": [ "John" ], "source": "train" }, "2788": { "input": "The rolling stone avoided the river. [s]", "output": "stone", "sentence": "The rolling stone avoided the river.", "letter": "s", "words": [ "stone" ], "source": "train" }, "2789": { "input": "Which poem did you go to hear a recital of last night? [o]", "output": "of", "sentence": "Which poem did you go to hear a recital of last night?", "letter": "o", "words": [ "of" ], "source": "train" }, "2790": { "input": "I consider that a rude remark and in very bad taste. [r]", "output": "rude remark", "sentence": "I consider that a rude remark and in very bad taste.", "letter": "r", "words": [ "rude", "remark" ], "source": "train" }, "2791": { "input": "Exactly half of the students attended some seminar. [t]", "output": "the", "sentence": "Exactly half of the students attended some seminar.", "letter": "t", "words": [ "the" ], "source": "train" }, "2792": { "input": "The big student of physics with long hair in the library. [s]", "output": "student", "sentence": "The big student of physics with long hair in the library.", "letter": "s", "words": [ "student" ], "source": "train" }, "2793": { "input": "It is not allowed to incriminate oneself. [i]", "output": "it is incriminate", "sentence": "It is not allowed to incriminate oneself.", "letter": "i", "words": [ "It", "is", "incriminate" ], "source": "train" }, "2794": { "input": "Because the bus drivers were on strike, the commuters travelled by army lorry. [o]", "output": "on", "sentence": "Because the bus drivers were on strike, the commuters travelled by army lorry.", "letter": "o", "words": [ "on" ], "source": "train" }, "2795": { "input": "Tony broke her arm. [b]", "output": "broke", "sentence": "Tony broke her arm.", "letter": "b", "words": [ "broke" ], "source": "train" }, "2796": { "input": "Poseidon had run away, because the executioner murdered Hera. [t]", "output": "the", "sentence": "Poseidon had run away, because the executioner murdered Hera.", "letter": "t", "words": [ "the" ], "source": "train" }, "2797": { "input": "More caviar than mush is eaten by Jack. [c]", "output": "caviar", "sentence": "More caviar than mush is eaten by Jack.", "letter": "c", "words": [ "caviar" ], "source": "train" }, "2798": { "input": "The ball rolled from the bush to the tree. [f]", "output": "from", "sentence": "The ball rolled from the bush to the tree.", "letter": "f", "words": [ "from" ], "source": "train" }, "2799": { "input": "What did Bill allege that Roger had eaten? [w]", "output": "what", "sentence": "What did Bill allege that Roger had eaten?", "letter": "w", "words": [ "What" ], "source": "train" }, "2800": { "input": "Was it for this that we suffered and toiled? [a]", "output": "and", "sentence": "Was it for this that we suffered and toiled?", "letter": "a", "words": [ "and" ], "source": "train" }, "2801": { "input": "The car has been driven. [h]", "output": "has", "sentence": "The car has been driven.", "letter": "h", "words": [ "has" ], "source": "train" }, "2802": { "input": "To please John would be difficult. [b]", "output": "be", "sentence": "To please John would be difficult.", "letter": "b", "words": [ "be" ], "source": "train" }, "2803": { "input": "the book of poems from Blackwell with a red cover by Robert Burns takes a very long time to read. [t]", "output": "the takes time to", "sentence": "the book of poems from Blackwell with a red cover by Robert Burns takes a very long time to read.", "letter": "t", "words": [ "the", "takes", "time", "to" ], "source": "train" }, "2804": { "input": "Neither of the cars has air conditioning. [c]", "output": "cars conditioning", "sentence": "Neither of the cars has air conditioning.", "letter": "c", "words": [ "cars", "conditioning" ], "source": "train" }, "2805": { "input": "The wealthy young man bought his secret fianc e that piano. [h]", "output": "his", "sentence": "The wealthy young man bought his secret fianc e that piano.", "letter": "h", "words": [ "his" ], "source": "train" }, "2806": { "input": "It was John that was waiting at the restaurant. [j]", "output": "john", "sentence": "It was John that was waiting at the restaurant.", "letter": "j", "words": [ "John" ], "source": "train" }, "2807": { "input": "Sally might be pregnant, and I know a girl who definitely is pregnant. [b]", "output": "be", "sentence": "Sally might be pregnant, and I know a girl who definitely is pregnant.", "letter": "b", "words": [ "be" ], "source": "train" }, "2808": { "input": "I want to peruse that contract before filing away the deed. [p]", "output": "peruse", "sentence": "I want to peruse that contract before filing away the deed.", "letter": "p", "words": [ "peruse" ], "source": "train" }, "2809": { "input": "Physicists like yourself are a godsend. [g]", "output": "godsend", "sentence": "Physicists like yourself are a godsend.", "letter": "g", "words": [ "godsend" ], "source": "train" }, "2810": { "input": "This is my ultimate goal. [m]", "output": "my", "sentence": "This is my ultimate goal.", "letter": "m", "words": [ "my" ], "source": "train" }, "2811": { "input": "The price of meat fell. [t]", "output": "the", "sentence": "The price of meat fell.", "letter": "t", "words": [ "The" ], "source": "train" }, "2812": { "input": "Wilma completed the assignment. [w]", "output": "wilma", "sentence": "Wilma completed the assignment.", "letter": "w", "words": [ "Wilma" ], "source": "train" }, "2813": { "input": "John scratched his arm and the boy who knew Mary scratched her arm. [w]", "output": "who", "sentence": "John scratched his arm and the boy who knew Mary scratched her arm.", "letter": "w", "words": [ "who" ], "source": "train" }, "2814": { "input": "Evidence that he was drunk will be presented. [w]", "output": "was will", "sentence": "Evidence that he was drunk will be presented.", "letter": "w", "words": [ "was", "will" ], "source": "train" }, "2815": { "input": "Jack is more tall than thin. [t]", "output": "tall than thin", "sentence": "Jack is more tall than thin.", "letter": "t", "words": [ "tall", "than", "thin" ], "source": "train" }, "2816": { "input": "Paula swatted the fly with the cloth. [p]", "output": "paula", "sentence": "Paula swatted the fly with the cloth.", "letter": "p", "words": [ "Paula" ], "source": "train" }, "2817": { "input": "I promised that tomorrow he would be there. [w]", "output": "would", "sentence": "I promised that tomorrow he would be there.", "letter": "w", "words": [ "would" ], "source": "train" }, "2818": { "input": "Ida hunted deer in the woods. [i]", "output": "ida in", "sentence": "Ida hunted deer in the woods.", "letter": "i", "words": [ "Ida", "in" ], "source": "train" }, "2819": { "input": "Miss Bates can chatter on for hours. [b]", "output": "bates", "sentence": "Miss Bates can chatter on for hours.", "letter": "b", "words": [ "Bates" ], "source": "train" }, "2820": { "input": "Calvin has dated every girl who Jeff has dated. [g]", "output": "girl", "sentence": "Calvin has dated every girl who Jeff has dated.", "letter": "g", "words": [ "girl" ], "source": "train" }, "2821": { "input": "For Jenny, I intended to be present. [p]", "output": "present", "sentence": "For Jenny, I intended to be present.", "letter": "p", "words": [ "present" ], "source": "train" }, "2822": { "input": "The students all enjoyed that summer. [e]", "output": "enjoyed", "sentence": "The students all enjoyed that summer.", "letter": "e", "words": [ "enjoyed" ], "source": "train" }, "2823": { "input": "Jane has more nearly as many too many than Mary. [j]", "output": "jane", "sentence": "Jane has more nearly as many too many than Mary.", "letter": "j", "words": [ "Jane" ], "source": "train" }, "2824": { "input": "The more people that arrive, the louder it gets. [m]", "output": "more", "sentence": "The more people that arrive, the louder it gets.", "letter": "m", "words": [ "more" ], "source": "train" }, "2825": { "input": "This book just sells itself. [i]", "output": "itself", "sentence": "This book just sells itself.", "letter": "i", "words": [ "itself" ], "source": "train" }, "2826": { "input": "Every man lifted a table. [e]", "output": "every", "sentence": "Every man lifted a table.", "letter": "e", "words": [ "Every" ], "source": "train" }, "2827": { "input": "Italy touches France. [i]", "output": "italy", "sentence": "Italy touches France.", "letter": "i", "words": [ "Italy" ], "source": "train" }, "2828": { "input": "I know I bought the book that you recommended. [b]", "output": "bought book", "sentence": "I know I bought the book that you recommended.", "letter": "b", "words": [ "bought", "book" ], "source": "train" }, "2829": { "input": "They made him into a monster. [i]", "output": "into", "sentence": "They made him into a monster.", "letter": "i", "words": [ "into" ], "source": "train" }, "2830": { "input": "We cannot put up with the noise anymore. [n]", "output": "noise", "sentence": "We cannot put up with the noise anymore.", "letter": "n", "words": [ "noise" ], "source": "train" }, "2831": { "input": "The dancing chorus line of elephants broke my television set. [b]", "output": "broke", "sentence": "The dancing chorus line of elephants broke my television set.", "letter": "b", "words": [ "broke" ], "source": "train" }, "2832": { "input": "The hardest that it ever snowed was last January th. [w]", "output": "was", "sentence": "The hardest that it ever snowed was last January th.", "letter": "w", "words": [ "was" ], "source": "train" }, "2833": { "input": "What her mother wants her to be is such a fine surgeon that everyone will respect her. [b]", "output": "be", "sentence": "What her mother wants her to be is such a fine surgeon that everyone will respect her.", "letter": "b", "words": [ "be" ], "source": "train" }, "2834": { "input": "Emma and Harriet were attacked by those bandits. [e]", "output": "emma", "sentence": "Emma and Harriet were attacked by those bandits.", "letter": "e", "words": [ "Emma" ], "source": "train" }, "2835": { "input": "I could have little known that more trouble was just around the corner. [w]", "output": "was", "sentence": "I could have little known that more trouble was just around the corner.", "letter": "w", "words": [ "was" ], "source": "train" }, "2836": { "input": "The book of poems with a red cover from Blackwell by Robert Burns takes a very long time to read. [r]", "output": "red robert read", "sentence": "The book of poems with a red cover from Blackwell by Robert Burns takes a very long time to read.", "letter": "r", "words": [ "red", "Robert", "read" ], "source": "train" }, "2837": { "input": "The onions reeked. [o]", "output": "onions", "sentence": "The onions reeked.", "letter": "o", "words": [ "onions" ], "source": "train" }, "2838": { "input": "He was a bully. [w]", "output": "was", "sentence": "He was a bully.", "letter": "w", "words": [ "was" ], "source": "train" }, "2839": { "input": "I doubt that Mary reads mysteries. [i]", "output": "i", "sentence": "I doubt that Mary reads mysteries.", "letter": "i", "words": [ "I" ], "source": "train" }, "2840": { "input": "Ellen talked with Helen about the problem. [a]", "output": "about", "sentence": "Ellen talked with Helen about the problem.", "letter": "a", "words": [ "about" ], "source": "train" }, "2841": { "input": "I saw the physics student. [p]", "output": "physics", "sentence": "I saw the physics student.", "letter": "p", "words": [ "physics" ], "source": "train" }, "2842": { "input": "Doug blew up the building. [t]", "output": "the", "sentence": "Doug blew up the building.", "letter": "t", "words": [ "the" ], "source": "train" }, "2843": { "input": "The very young child walked from school to the store. [v]", "output": "very", "sentence": "The very young child walked from school to the store.", "letter": "v", "words": [ "very" ], "source": "train" }, "2844": { "input": "I think that John likes his beer. [l]", "output": "likes", "sentence": "I think that John likes his beer.", "letter": "l", "words": [ "likes" ], "source": "train" }, "2845": { "input": "Mark terrified me with his single mindedness. [m]", "output": "mark me mindedness", "sentence": "Mark terrified me with his single mindedness.", "letter": "m", "words": [ "Mark", "me", "mindedness" ], "source": "train" }, "2846": { "input": "Truman punched Johnson [j]", "output": "johnson", "sentence": "Truman punched Johnson", "letter": "j", "words": [ "Johnson" ], "source": "train" }, "2847": { "input": "Michelle kept the papers behind the desk. [k]", "output": "kept", "sentence": "Michelle kept the papers behind the desk.", "letter": "k", "words": [ "kept" ], "source": "train" }, "2848": { "input": "Through the hall echoed a loud cry. [e]", "output": "echoed", "sentence": "Through the hall echoed a loud cry.", "letter": "e", "words": [ "echoed" ], "source": "train" }, "2849": { "input": "I expect to more than double my profits. [d]", "output": "double", "sentence": "I expect to more than double my profits.", "letter": "d", "words": [ "double" ], "source": "train" }, "2850": { "input": "It is a picture of Bill that this girl in the red coat will put on your desk before tomorrow. [w]", "output": "will", "sentence": "It is a picture of Bill that this girl in the red coat will put on your desk before tomorrow.", "letter": "w", "words": [ "will" ], "source": "train" }, "2851": { "input": "This building is taller and wider than that one. [b]", "output": "building", "sentence": "This building is taller and wider than that one.", "letter": "b", "words": [ "building" ], "source": "train" }, "2852": { "input": "I detest taking a bath. [d]", "output": "detest", "sentence": "I detest taking a bath.", "letter": "d", "words": [ "detest" ], "source": "train" }, "2853": { "input": "All special rights of voting in the election were abolished. [w]", "output": "were", "sentence": "All special rights of voting in the election were abolished.", "letter": "w", "words": [ "were" ], "source": "train" }, "2854": { "input": "Dust fell on the bed. [t]", "output": "the", "sentence": "Dust fell on the bed.", "letter": "t", "words": [ "the" ], "source": "train" }, "2855": { "input": "The owl hated the evil bat and loved the wise eagle. [l]", "output": "loved", "sentence": "The owl hated the evil bat and loved the wise eagle.", "letter": "l", "words": [ "loved" ], "source": "train" }, "2856": { "input": "We believed there to be a fountain in the park. [f]", "output": "fountain", "sentence": "We believed there to be a fountain in the park.", "letter": "f", "words": [ "fountain" ], "source": "train" }, "2857": { "input": "You can depend on my assistant and that he will be on time. [h]", "output": "he", "sentence": "You can depend on my assistant and that he will be on time.", "letter": "h", "words": [ "he" ], "source": "train" }, "2858": { "input": "Martha carved a piece of wood for the baby. [w]", "output": "wood", "sentence": "Martha carved a piece of wood for the baby.", "letter": "w", "words": [ "wood" ], "source": "train" }, "2859": { "input": "George wrote a volume of poems in Latin for Jane. [w]", "output": "wrote", "sentence": "George wrote a volume of poems in Latin for Jane.", "letter": "w", "words": [ "wrote" ], "source": "train" }, "2860": { "input": "I know I bought the book you recommended. [y]", "output": "you", "sentence": "I know I bought the book you recommended.", "letter": "y", "words": [ "you" ], "source": "train" }, "2861": { "input": "Mary jumped the horse over the last fence perfectly. [l]", "output": "last", "sentence": "Mary jumped the horse over the last fence perfectly.", "letter": "l", "words": [ "last" ], "source": "train" }, "2862": { "input": "The dragons have all been slain. [d]", "output": "dragons", "sentence": "The dragons have all been slain.", "letter": "d", "words": [ "dragons" ], "source": "train" }, "2863": { "input": "John has two sisters, who became lawyers. [b]", "output": "became", "sentence": "John has two sisters, who became lawyers.", "letter": "b", "words": [ "became" ], "source": "train" }, "2864": { "input": "I want to eat macaroni [t]", "output": "to", "sentence": "I want to eat macaroni", "letter": "t", "words": [ "to" ], "source": "train" }, "2865": { "input": "This large parcel is very heavy. [l]", "output": "large", "sentence": "This large parcel is very heavy.", "letter": "l", "words": [ "large" ], "source": "train" }, "2866": { "input": "Two days ago, we went out to dinner, and this afternoon, to the movies. [w]", "output": "we went", "sentence": "Two days ago, we went out to dinner, and this afternoon, to the movies.", "letter": "w", "words": [ "we", "went" ], "source": "train" }, "2867": { "input": "How brave everybody must think you expect me to believe he is! [m]", "output": "must me", "sentence": "How brave everybody must think you expect me to believe he is!", "letter": "m", "words": [ "must", "me" ], "source": "train" }, "2868": { "input": "Each child should have a daily glass of milk. [g]", "output": "glass", "sentence": "Each child should have a daily glass of milk.", "letter": "g", "words": [ "glass" ], "source": "train" }, "2869": { "input": "I am removing the shovel from the shed. [f]", "output": "from", "sentence": "I am removing the shovel from the shed.", "letter": "f", "words": [ "from" ], "source": "train" }, "2870": { "input": "What I meant was that you have done it really well. [m]", "output": "meant", "sentence": "What I meant was that you have done it really well.", "letter": "m", "words": [ "meant" ], "source": "train" }, "2871": { "input": "Only Churchill remembered his giving the Blood, Sweat and Tears speech. [c]", "output": "churchill", "sentence": "Only Churchill remembered his giving the Blood, Sweat and Tears speech.", "letter": "c", "words": [ "Churchill" ], "source": "train" }, "2872": { "input": "I saw the brilliant student with long hair. [b]", "output": "brilliant", "sentence": "I saw the brilliant student with long hair.", "letter": "b", "words": [ "brilliant" ], "source": "train" }, "2873": { "input": "The child wails [w]", "output": "wails", "sentence": "The child wails", "letter": "w", "words": [ "wails" ], "source": "train" }, "2874": { "input": "Anne met with Cathy. [m]", "output": "met", "sentence": "Anne met with Cathy.", "letter": "m", "words": [ "met" ], "source": "train" }, "2875": { "input": "Avoid double negatives. [a]", "output": "avoid", "sentence": "Avoid double negatives.", "letter": "a", "words": [ "Avoid" ], "source": "train" }, "2876": { "input": "A man kicked the ball. [k]", "output": "kicked", "sentence": "A man kicked the ball.", "letter": "k", "words": [ "kicked" ], "source": "train" }, "2877": { "input": "Dorothy needs that dress as a costume. [d]", "output": "dorothy dress", "sentence": "Dorothy needs that dress as a costume.", "letter": "d", "words": [ "Dorothy", "dress" ], "source": "train" }, "2878": { "input": "The Red Sox beat, and the Giants were beaten by, different teams. [g]", "output": "giants", "sentence": "The Red Sox beat, and the Giants were beaten by, different teams.", "letter": "g", "words": [ "Giants" ], "source": "train" }, "2879": { "input": "I compared Ginger to Fred [c]", "output": "compared", "sentence": "I compared Ginger to Fred", "letter": "c", "words": [ "compared" ], "source": "train" }, "2880": { "input": "The ball rolled down the hill. [h]", "output": "hill", "sentence": "The ball rolled down the hill.", "letter": "h", "words": [ "hill" ], "source": "train" }, "2881": { "input": "I am confident of, and my boss depends on, a successful outing at the track. [o]", "output": "of on outing", "sentence": "I am confident of, and my boss depends on, a successful outing at the track.", "letter": "o", "words": [ "of", "on", "outing" ], "source": "train" }, "2882": { "input": "That anybody ever left at all is not known. [t]", "output": "that", "sentence": "That anybody ever left at all is not known.", "letter": "t", "words": [ "That" ], "source": "train" }, "2883": { "input": "Heather cabled Sara the news. [t]", "output": "the", "sentence": "Heather cabled Sara the news.", "letter": "t", "words": [ "the" ], "source": "train" }, "2884": { "input": "A hefty sum of money came to him from his grandfather. [g]", "output": "grandfather", "sentence": "A hefty sum of money came to him from his grandfather.", "letter": "g", "words": [ "grandfather" ], "source": "train" }, "2885": { "input": "There might be a unicorn in the garden. [i]", "output": "in", "sentence": "There might be a unicorn in the garden.", "letter": "i", "words": [ "in" ], "source": "train" }, "2886": { "input": "People are said to do such crazy things at such high speeds there by Dorothy that I am getting skeptical. [p]", "output": "people", "sentence": "People are said to do such crazy things at such high speeds there by Dorothy that I am getting skeptical.", "letter": "p", "words": [ "People" ], "source": "train" }, "2887": { "input": "Would the men not enjoy that? [w]", "output": "would", "sentence": "Would the men not enjoy that?", "letter": "w", "words": [ "Would" ], "source": "train" }, "2888": { "input": "Hard work resulted in high grades. [i]", "output": "in", "sentence": "Hard work resulted in high grades.", "letter": "i", "words": [ "in" ], "source": "train" }, "2889": { "input": "Bill coughed his way out of the restaurant. [t]", "output": "the", "sentence": "Bill coughed his way out of the restaurant.", "letter": "t", "words": [ "the" ], "source": "train" }, "2890": { "input": "Whose car is blocking the entrance to the store? [s]", "output": "store", "sentence": "Whose car is blocking the entrance to the store?", "letter": "s", "words": [ "store" ], "source": "train" }, "2891": { "input": "This is the gold that John put under the bathtub. [p]", "output": "put", "sentence": "This is the gold that John put under the bathtub.", "letter": "p", "words": [ "put" ], "source": "train" }, "2892": { "input": "You may pick any flower, but leave a few for Mary. [p]", "output": "pick", "sentence": "You may pick any flower, but leave a few for Mary.", "letter": "p", "words": [ "pick" ], "source": "train" }, "2893": { "input": "That Louise had abandoned the project surprised everyone. [l]", "output": "louise", "sentence": "That Louise had abandoned the project surprised everyone.", "letter": "l", "words": [ "Louise" ], "source": "train" }, "2894": { "input": "the book of poems with a red cover and with a blue spine takes a very long time to read. [s]", "output": "spine", "sentence": "the book of poems with a red cover and with a blue spine takes a very long time to read.", "letter": "s", "words": [ "spine" ], "source": "train" }, "2895": { "input": "John mentioned the issue to me. [j]", "output": "john", "sentence": "John mentioned the issue to me.", "letter": "j", "words": [ "John" ], "source": "train" }, "2896": { "input": "To find a new mate, go to a dating service. [s]", "output": "service", "sentence": "To find a new mate, go to a dating service.", "letter": "s", "words": [ "service" ], "source": "train" }, "2897": { "input": "Jeff must not have eaten the deep fried muffin. [n]", "output": "not", "sentence": "Jeff must not have eaten the deep fried muffin.", "letter": "n", "words": [ "not" ], "source": "train" }, "2898": { "input": "No one expected to win. [t]", "output": "to", "sentence": "No one expected to win.", "letter": "t", "words": [ "to" ], "source": "train" }, "2899": { "input": "Who thought up the proposal that the committee be abolished? [u]", "output": "up", "sentence": "Who thought up the proposal that the committee be abolished?", "letter": "u", "words": [ "up" ], "source": "train" }, "2900": { "input": "Richard is going to chop some wood. [s]", "output": "some", "sentence": "Richard is going to chop some wood.", "letter": "s", "words": [ "some" ], "source": "train" }, "2901": { "input": "For the girl to put a picture there is what I prefer. [t]", "output": "the to there", "sentence": "For the girl to put a picture there is what I prefer.", "letter": "t", "words": [ "the", "to", "there" ], "source": "train" }, "2902": { "input": "This is the book which the teacher recommended. [b]", "output": "book", "sentence": "This is the book which the teacher recommended.", "letter": "b", "words": [ "book" ], "source": "train" }, "2903": { "input": "A large flag fluttered. [f]", "output": "flag fluttered", "sentence": "A large flag fluttered.", "letter": "f", "words": [ "flag", "fluttered" ], "source": "train" }, "2904": { "input": "My wife, somebody stole her handbag last night. [h]", "output": "her handbag", "sentence": "My wife, somebody stole her handbag last night.", "letter": "h", "words": [ "her", "handbag" ], "source": "train" }, "2905": { "input": "During the early evening, Saturn can be found in the north, while Jupiter rises in the east. [s]", "output": "saturn", "sentence": "During the early evening, Saturn can be found in the north, while Jupiter rises in the east.", "letter": "s", "words": [ "Saturn" ], "source": "train" }, "2906": { "input": "A cat jumped onto the table. [a]", "output": "a", "sentence": "A cat jumped onto the table.", "letter": "a", "words": [ "A" ], "source": "train" }, "2907": { "input": "I am delighted that Mary finished his thesis. [h]", "output": "his", "sentence": "I am delighted that Mary finished his thesis.", "letter": "h", "words": [ "his" ], "source": "train" }, "2908": { "input": "The day when Jim got fired was a sad day for everyone. [w]", "output": "when was", "sentence": "The day when Jim got fired was a sad day for everyone.", "letter": "w", "words": [ "when", "was" ], "source": "train" }, "2909": { "input": "Leigh threw Lane the ball. [l]", "output": "leigh lane", "sentence": "Leigh threw Lane the ball.", "letter": "l", "words": [ "Leigh", "Lane" ], "source": "train" }, "2910": { "input": "John scratched his arm and the boy who knew Mary scratched her arm. [j]", "output": "john", "sentence": "John scratched his arm and the boy who knew Mary scratched her arm.", "letter": "j", "words": [ "John" ], "source": "train" }, "2911": { "input": "John asked me to put the clothes in the cupboard, and to annoy him I stuffed them there. [i]", "output": "in i", "sentence": "John asked me to put the clothes in the cupboard, and to annoy him I stuffed them there.", "letter": "i", "words": [ "in", "I" ], "source": "train" }, "2912": { "input": "You can rely on Ben. [c]", "output": "can", "sentence": "You can rely on Ben.", "letter": "c", "words": [ "can" ], "source": "train" }, "2913": { "input": "Tatiana wrote to Onegin. [t]", "output": "tatiana to", "sentence": "Tatiana wrote to Onegin.", "letter": "t", "words": [ "Tatiana", "to" ], "source": "train" }, "2914": { "input": "Five pounds is a lot of money. [m]", "output": "money", "sentence": "Five pounds is a lot of money.", "letter": "m", "words": [ "money" ], "source": "train" }, "2915": { "input": "Gilgamesh is not reading the cuneiform tablets. [i]", "output": "is", "sentence": "Gilgamesh is not reading the cuneiform tablets.", "letter": "i", "words": [ "is" ], "source": "train" }, "2916": { "input": "I asked what John kissed. [w]", "output": "what", "sentence": "I asked what John kissed.", "letter": "w", "words": [ "what" ], "source": "train" }, "2917": { "input": "He is not finishing. [h]", "output": "he", "sentence": "He is not finishing.", "letter": "h", "words": [ "He" ], "source": "train" }, "2918": { "input": "The dumplings which Sasha is gobbling down faster than I can reheat them are extremely tasty, if I do say so. [s]", "output": "sasha say so", "sentence": "The dumplings which Sasha is gobbling down faster than I can reheat them are extremely tasty, if I do say so.", "letter": "s", "words": [ "Sasha", "say", "so" ], "source": "train" }, "2919": { "input": "Kim and Sandy met in Seoul in the lobby of the Lotte Hotel in March. [o]", "output": "of", "sentence": "Kim and Sandy met in Seoul in the lobby of the Lotte Hotel in March.", "letter": "o", "words": [ "of" ], "source": "train" }, "2920": { "input": "Perhaps some dry socks would help? [p]", "output": "perhaps", "sentence": "Perhaps some dry socks would help?", "letter": "p", "words": [ "Perhaps" ], "source": "train" }, "2921": { "input": "Lilly should buy salmon and Mary should buy salmon too. [m]", "output": "mary", "sentence": "Lilly should buy salmon and Mary should buy salmon too.", "letter": "m", "words": [ "Mary" ], "source": "train" }, "2922": { "input": "Bill left when it is certain that no one else was awake. [n]", "output": "no", "sentence": "Bill left when it is certain that no one else was awake.", "letter": "n", "words": [ "no" ], "source": "train" }, "2923": { "input": "The man who I gave John a picture of was bald. [w]", "output": "who was", "sentence": "The man who I gave John a picture of was bald.", "letter": "w", "words": [ "who", "was" ], "source": "train" }, "2924": { "input": "Can anyone pledge ? [p]", "output": "pledge", "sentence": "Can anyone pledge ?", "letter": "p", "words": [ "pledge" ], "source": "train" }, "2925": { "input": "I made it easy to get along with John. [g]", "output": "get", "sentence": "I made it easy to get along with John.", "letter": "g", "words": [ "get" ], "source": "train" }, "2926": { "input": "She put the pictures of Bill on your desk. [o]", "output": "of on", "sentence": "She put the pictures of Bill on your desk.", "letter": "o", "words": [ "of", "on" ], "source": "train" }, "2927": { "input": "Can Mary win the race and will Sue win the race too? [s]", "output": "sue", "sentence": "Can Mary win the race and will Sue win the race too?", "letter": "s", "words": [ "Sue" ], "source": "train" }, "2928": { "input": "When did you arrive? [w]", "output": "when", "sentence": "When did you arrive?", "letter": "w", "words": [ "When" ], "source": "train" }, "2929": { "input": "Who did you attempt to force Jason to kill? [j]", "output": "jason", "sentence": "Who did you attempt to force Jason to kill?", "letter": "j", "words": [ "Jason" ], "source": "train" }, "2930": { "input": "Was he believed ever to fail students? [h]", "output": "he", "sentence": "Was he believed ever to fail students?", "letter": "h", "words": [ "he" ], "source": "train" }, "2931": { "input": "John seems to have left. [s]", "output": "seems", "sentence": "John seems to have left.", "letter": "s", "words": [ "seems" ], "source": "train" }, "2932": { "input": "John hummed, and Mary sang, at equal volumes. [s]", "output": "sang", "sentence": "John hummed, and Mary sang, at equal volumes.", "letter": "s", "words": [ "sang" ], "source": "train" }, "2933": { "input": "only the student left. [o]", "output": "only", "sentence": "only the student left.", "letter": "o", "words": [ "only" ], "source": "train" }, "2934": { "input": "John may drink water, and Bill drink beer. [j]", "output": "john", "sentence": "John may drink water, and Bill drink beer.", "letter": "j", "words": [ "John" ], "source": "train" }, "2935": { "input": "Ethel was sitting at her desk. [a]", "output": "at", "sentence": "Ethel was sitting at her desk.", "letter": "a", "words": [ "at" ], "source": "train" }, "2936": { "input": "I brought a razor with which to shave myself. [m]", "output": "myself", "sentence": "I brought a razor with which to shave myself.", "letter": "m", "words": [ "myself" ], "source": "train" }, "2937": { "input": "Karen asked where to put the chairs. [c]", "output": "chairs", "sentence": "Karen asked where to put the chairs.", "letter": "c", "words": [ "chairs" ], "source": "train" }, "2938": { "input": "A choir sang in the church. [i]", "output": "in", "sentence": "A choir sang in the church.", "letter": "i", "words": [ "in" ], "source": "train" }, "2939": { "input": "Calvin was eating. [w]", "output": "was", "sentence": "Calvin was eating.", "letter": "w", "words": [ "was" ], "source": "train" }, "2940": { "input": "Joe will go to the store, even though Fred already has. [f]", "output": "fred", "sentence": "Joe will go to the store, even though Fred already has.", "letter": "f", "words": [ "Fred" ], "source": "train" }, "2941": { "input": "I saw the brilliant student with long hair. [h]", "output": "hair", "sentence": "I saw the brilliant student with long hair.", "letter": "h", "words": [ "hair" ], "source": "train" }, "2942": { "input": "I saw John with a telescope. [a]", "output": "a", "sentence": "I saw John with a telescope.", "letter": "a", "words": [ "a" ], "source": "train" }, "2943": { "input": "That monkey is eating the banana. [m]", "output": "monkey", "sentence": "That monkey is eating the banana.", "letter": "m", "words": [ "monkey" ], "source": "train" }, "2944": { "input": "It was to Boston that they decided to take the patient. [p]", "output": "patient", "sentence": "It was to Boston that they decided to take the patient.", "letter": "p", "words": [ "patient" ], "source": "train" }, "2945": { "input": "To delay the march and to go ahead with it have been argued by different people at different times. [h]", "output": "have", "sentence": "To delay the march and to go ahead with it have been argued by different people at different times.", "letter": "h", "words": [ "have" ], "source": "train" }, "2946": { "input": "An oak tree will grow from that acorn. [g]", "output": "grow", "sentence": "An oak tree will grow from that acorn.", "letter": "g", "words": [ "grow" ], "source": "train" }, "2947": { "input": "Pat is a Republican and proud of it. [o]", "output": "of", "sentence": "Pat is a Republican and proud of it.", "letter": "o", "words": [ "of" ], "source": "train" }, "2948": { "input": "Susan rode a bright blue train from New York. [a]", "output": "a", "sentence": "Susan rode a bright blue train from New York.", "letter": "a", "words": [ "a" ], "source": "train" }, "2949": { "input": "We put a book on the table. [b]", "output": "book", "sentence": "We put a book on the table.", "letter": "b", "words": [ "book" ], "source": "train" }, "2950": { "input": "These fields were marched over by all the armies of Europe. [a]", "output": "all armies", "sentence": "These fields were marched over by all the armies of Europe.", "letter": "a", "words": [ "all", "armies" ], "source": "train" }, "2951": { "input": "John wants to congratulate himself. [t]", "output": "to", "sentence": "John wants to congratulate himself.", "letter": "t", "words": [ "to" ], "source": "train" }, "2952": { "input": "There lived a man with his grandson. 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"expedition", "output": "intermission", "other_rhymes": [ "competition", "condition", "permission", "position", "politician", "composition", "ambition", "intermission", "expedition", "musician", "exhibition" ], "rhyme_group": "IH SH AH N" }, "1970": { "input": "decide", "output": "side", "other_rhymes": [ "ride", "outside", "guide", "decide", "wide", "side", "bride", "provide", "divide", "hide" ], "rhyme_group": "AY D" }, "1971": { "input": "stain", "output": "complain", "other_rhymes": [ "plane", "rain", "train", "explain", "brain", "chain", "pain", "champagne", "stain", "complain", "contain", "main", "gain", "plain" ], "rhyme_group": "EY N" }, "1972": { "input": "steep", "output": "asleep", "other_rhymes": [ "sheep", "sleep", "cheap", "keep", "deep", "asleep", "steep" ], "rhyme_group": "IY P" }, "1973": { "input": "bee", "output": "she", "other_rhymes": [ "she", "me", "he", "tea", "key", "we", "see", "tree", "sea", "agree", "degree", "free", "disagree", "fee", "bee", "ski", "pea", 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"output": "outside", "other_rhymes": [ "ride", "outside", "guide", "decide", "wide", "side", "bride", "provide", "divide", "hide" ], "rhyme_group": "AY D" }, "1980": { "input": "screen", "output": "machine", "other_rhymes": [ "clean", "green", "bean", "screen", "machine", "mean", "queen", "scene", "routine" ], "rhyme_group": "IY N" }, "1981": { "input": "kite", "output": "quite", "other_rhymes": [ "invite", "light", "night", "right", "write", "flight", "bright", "kite", "polite", "quite", "site", "might", "fight", "despite", "overnight", "tight", "bite", "sight", "height" ], "rhyme_group": "AY T" }, "1982": { "input": "soap", "output": "hope", "other_rhymes": [ "soap", "hope" ], "rhyme_group": "OW P" }, "1983": { "input": "hair", "output": "share", "other_rhymes": [ "pair", "chair", "their", "wear", "hair", "there", "fair", "prepare", "share", "square", "repair", "pear", "bear", "air", "declare", "questionnaire", "spare", "rare", "fare", "care", "compare" ], "rhyme_group": "EH R" }, 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"casualty", "output": "a" }, "3208": { "input": "unification", "output": "n" }, "3209": { "input": "tuning", "output": "u" }, "3210": { "input": "electorate", "output": "l" }, "3211": { "input": "bolster", "output": "o" }, "3212": { "input": "taxonomy", "output": "a" }, "3213": { "input": "petroleum", "output": "e" }, "3214": { "input": "turf", "output": "u" }, "3215": { "input": "pony", "output": "o" }, "3216": { "input": "acceleration", "output": "c" }, "3217": { "input": "sighting", "output": "i" }, "3218": { "input": "drumming", "output": "r" }, "3219": { "input": "topography", "output": "o" }, "3220": { "input": "dairy", "output": "a" }, "3221": { "input": "viewpoint", "output": "i" }, "3222": { "input": "mercy", "output": "e" }, "3223": { "input": "mapping", "output": "a" }, "3224": { "input": "hormone", "output": "o" }, "3225": { "input": "toe", "output": "o" }, "3226": { "input": "setup", "output": "e" }, "3227": { "input": "sabotage", "output": "a" }, "3228": { "input": "smuggling", "output": "m" }, "3229": { "input": "commence", "output": "o" }, "3230": { "input": "ratification", "output": "a" }, "3231": { "input": "forum", "output": "o" }, "3232": { "input": "telegram", "output": "e" }, "3233": { "input": "lizard", "output": "i" }, "3234": { "input": "butter", "output": "u" }, "3235": { "input": "showrunner", "output": "h" }, "3236": { "input": "doctorate", "output": "o" }, "3237": { "input": "convenience", "output": "o" }, "3238": { "input": "exposition", "output": "x" }, "3239": { "input": "readiness", "output": "e" }, "3240": { "input": "computing", "output": "o" }, "3241": { "input": "resupply", "output": "e" }, "3242": { "input": "ribbon", "output": "i" }, "3243": { "input": "calculation", "output": "a" }, "3244": { "input": "interrogation", "output": "n" }, "3245": { "input": "pornography", "output": "o" }, "3246": { "input": "postal", "output": "o" }, "3247": { "input": "pulse", "output": "u" }, "3248": { "input": "fiber", "output": "i" }, "3249": { "input": "pepper", "output": "e" }, "3250": { "input": "injunction", "output": "n" }, "3251": { "input": "productivity", "output": "r" }, "3252": { "input": "discourse", "output": "i" }, "3253": { "input": "doorway", "output": "o" }, "3254": { "input": "rink", "output": "i" }, "3255": { "input": "distortion", "output": "i" }, "3256": { "input": "grape", "output": "r" }, "3257": { "input": "reversal", "output": "e" }, "3258": { "input": "whaling", "output": "h" }, "3259": { "input": "centimeter", "output": "e" }, "3260": { "input": "sensory", "output": "e" }, "3261": { "input": "heel", "output": "e" }, "3262": { "input": "secrecy", "output": "e" }, "3263": { "input": "wavelength", "output": "a" }, "3264": { "input": "arbitration", "output": "r" }, "3265": { "input": "nectar", "output": "e" }, "3266": { "input": "prevention", "output": "r" }, "3267": { "input": "fringe", "output": "r" }, "3268": { "input": "lockout", "output": "o" }, "3269": { "input": "transcription", "output": "r" }, "3270": { "input": "peacetime", "output": "e" }, "3271": { "input": "dietary", "output": "i" }, "3272": { "input": "whistle", "output": "h" }, "3273": { "input": "spear", "output": "p" }, "3274": { "input": "commencement", "output": "o" }, "3275": { "input": "offseason", "output": "f" }, "3276": { "input": "hint", "output": "i" }, "3277": { "input": "boot", "output": "o" }, "3278": { "input": "nationality", "output": "a" }, "3279": { "input": "puck", "output": "u" }, "3280": { "input": "simulate", "output": "i" }, "3281": { "input": "titanium", "output": "i" }, "3282": { "input": "rapping", "output": "a" }, "3283": { "input": "waist", "output": "a" }, "3284": { "input": "classroom", "output": "l" }, "3285": { "input": "manoeuvre", "output": "a" }, "3286": { "input": "algae", "output": "l" }, "3287": { "input": "irony", "output": "r" }, "3288": { "input": "rental", "output": "e" }, "3289": { "input": "tap", "output": "a" }, "3290": { "input": "drafting", "output": "r" }, "3291": { "input": "intro", "output": "n" }, "3292": { "input": "consul", "output": "o" }, "3293": { "input": "imitation", "output": "m" }, "3294": { "input": "weaving", "output": "e" }, "3295": { "input": "octagonal", "output": "c" }, "3296": { "input": "acquaintance", "output": "c" }, "3297": { "input": "destiny", "output": "e" }, "3298": { "input": "incidence", "output": "n" }, "3299": { "input": "rigging", "output": "i" }, "3300": { "input": "bidding", "output": "i" }, "3301": { "input": "convict", "output": "o" }, "3302": { "input": "upbringing", "output": "p" }, "3303": { "input": "boiling", "output": "o" }, "3304": { "input": "venom", "output": "e" }, "3305": { "input": "courtesy", "output": "o" }, "3306": { "input": "interlude", "output": "n" } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/induce/sentence_similarity.json ================================================ { "metadata": { "num_examples": 3716 }, "examples": { "1": { "input": "Sentence 1: A plane is taking off. Sentence 2: An air plane is taking off.", "output": "5 - perfectly" }, "2": { "input": "Sentence 1: A man is playing a large flute. Sentence 2: A man is playing a flute.", "output": "4 - almost perfectly" }, "3": { "input": "Sentence 1: A man is spreading shreded cheese on a pizza. Sentence 2: A man is spreading shredded cheese on an uncooked pizza.", "output": "4 - almost perfectly" }, "4": { "input": "Sentence 1: Three men are playing chess. Sentence 2: Two men are playing chess.", "output": "3 - probably" }, "5": { "input": "Sentence 1: A man is playing the cello. Sentence 2: A man seated is playing the cello.", "output": "4 - almost perfectly" }, "6": { "input": "Sentence 1: Some men are fighting. Sentence 2: Two men are fighting.", "output": "4 - almost perfectly" }, "7": { "input": "Sentence 1: A man is smoking. Sentence 2: A man is skating.", "output": "0 - definitely not" }, "8": { "input": "Sentence 1: The man is playing the piano. Sentence 2: The man is playing the guitar.", "output": "2 - possibly" }, "9": { "input": "Sentence 1: A man is playing on a guitar and singing. Sentence 2: A woman is playing an acoustic guitar and singing.", "output": "2 - possibly" }, "10": { "input": "Sentence 1: A person is throwing a cat on to the ceiling. Sentence 2: A person throws a cat on the ceiling.", "output": "5 - perfectly" }, "11": { "input": "Sentence 1: The man hit the other man with a stick. Sentence 2: The man spanked the other man with a stick.", "output": "4 - almost perfectly" }, "12": { "input": "Sentence 1: A man is playing a flute. Sentence 2: A man is playing a bamboo flute.", "output": "4 - almost perfectly" }, "13": { "input": "Sentence 1: A person is folding a piece of paper. Sentence 2: Someone is folding a piece of paper.", "output": "5 - perfectly" }, "14": { "input": "Sentence 1: A man is running on the road. Sentence 2: A panda dog is running on the road.", "output": "2 - possibly" }, "15": { "input": "Sentence 1: The polar bear is sliding on the snow. Sentence 2: A polar bear is sliding across the snow.", "output": "5 - perfectly" }, "16": { "input": "Sentence 1: A woman is writing. Sentence 2: A woman is swimming.", "output": "0 - definitely not" }, "17": { "input": "Sentence 1: A cat is rubbing against baby's face. Sentence 2: A cat is rubbing against a baby.", "output": "4 - almost perfectly" }, "18": { "input": "Sentence 1: The man is riding a horse. Sentence 2: A man is riding on a horse.", "output": "5 - perfectly" }, "19": { "input": "Sentence 1: A man pours oil into a pot. Sentence 2: A man pours wine in a pot.", "output": "3 - probably" }, "20": { "input": "Sentence 1: A man is playing a guitar. Sentence 2: A girl is playing a guitar.", "output": "3 - probably" }, "21": { "input": "Sentence 1: A panda is sliding down a slide. Sentence 2: A panda slides down a slide.", "output": "5 - perfectly" }, "22": { "input": "Sentence 1: A woman is eating something. Sentence 2: A woman is eating meat.", "output": "3 - probably" }, "23": { "input": "Sentence 1: A woman peels a potato. Sentence 2: A woman is peeling a potato.", "output": "5 - perfectly" }, "24": { "input": "Sentence 1: The boy fell off his bike. Sentence 2: A boy falls off his bike.", "output": "5 - perfectly" }, "25": { "input": "Sentence 1: The woman is playing the flute. Sentence 2: A woman is playing a flute.", "output": "5 - perfectly" }, "26": { "input": "Sentence 1: A rabbit is running from an eagle. Sentence 2: A hare is running from a eagle.", "output": "4 - almost perfectly" }, "27": { "input": "Sentence 1: The woman is frying a breaded pork chop. Sentence 2: A woman is cooking a breaded pork chop.", "output": "4 - almost perfectly" }, "28": { "input": "Sentence 1: A girl is flying a kite. Sentence 2: A girl running is flying a kite.", "output": "4 - almost perfectly" }, "29": { "input": "Sentence 1: A man is riding a mechanical bull. Sentence 2: A man rode a mechanical bull.", "output": "4 - almost perfectly" }, "30": { "input": "Sentence 1: The man is playing the guitar. Sentence 2: A man is playing a guitar.", "output": "5 - perfectly" }, "31": { "input": "Sentence 1: A woman is dancing and singing with other women. Sentence 2: A woman is dancing and singing in the rain.", "output": "3 - probably" }, "32": { "input": "Sentence 1: A man is slicing a bun. Sentence 2: A man is slicing an onion.", "output": "2 - possibly" }, "33": { "input": "Sentence 1: A man is pouring oil into a pan. Sentence 2: A man is pouring oil into a skillet.", "output": "4 - almost perfectly" }, "34": { "input": "Sentence 1: A lion is playing with people. Sentence 2: A lion is playing with two men.", "output": "3 - probably" }, "35": { "input": "Sentence 1: A dog rides a skateboard. Sentence 2: A dog is riding a skateboard.", "output": "5 - perfectly" }, "36": { "input": "Sentence 1: Someone is carving a statue. Sentence 2: A man is carving a statue.", "output": "4 - almost perfectly" }, "37": { "input": "Sentence 1: A woman is slicing an onion. Sentence 2: A man is cutting an onion.", "output": "3 - probably" }, "38": { "input": "Sentence 1: A woman peels shrimp. Sentence 2: A woman is peeling shrimp.", "output": "5 - perfectly" }, "39": { "input": "Sentence 1: A woman is frying fish. Sentence 2: A woman is cooking fish.", "output": "4 - almost perfectly" }, "40": { "input": "Sentence 1: A woman is playing an electric guitar. Sentence 2: A woman is playing a guitar.", "output": "4 - almost perfectly" }, "41": { "input": "Sentence 1: A baby tiger is playing with a ball. Sentence 2: A baby is playing with a doll.", "output": "2 - possibly" }, "42": { "input": "Sentence 1: A person is slicing a tomato. Sentence 2: A person is slicing some meat.", "output": "2 - possibly" }, "43": { "input": "Sentence 1: A person cuts an onion. Sentence 2: A person is cutting an onion.", "output": "5 - perfectly" }, "44": { "input": "Sentence 1: A man is playing the piano. Sentence 2: A woman is playing the violin.", "output": "1 - probably not" }, "45": { "input": "Sentence 1: A woman is playing the flute. Sentence 2: A man is playing the guitar.", "output": "1 - probably not" }, "46": { "input": "Sentence 1: A man is cutting up a potato. Sentence 2: A man is cutting up carrots.", "output": "2 - possibly" }, "47": { "input": "Sentence 1: A kid is playing guitar. Sentence 2: A boy is playing a guitar.", "output": "4 - almost perfectly" }, "48": { "input": "Sentence 1: A boy is playing guitar. Sentence 2: A man is playing a guitar.", "output": "3 - probably" }, "49": { "input": "Sentence 1: A man is playing guitar. Sentence 2: A boy is playing a guitar.", "output": "3 - probably" }, "50": { "input": "Sentence 1: A little boy is playing a keyboard. Sentence 2: A boy is playing key board.", "output": "4 - almost perfectly" }, "51": { "input": "Sentence 1: A man is playing a guitar. Sentence 2: A man is playing an electric guitar.", "output": "4 - almost perfectly" }, "52": { "input": "Sentence 1: A dog licks a baby. Sentence 2: A dog is licking a baby.", "output": "5 - perfectly" }, "53": { "input": "Sentence 1: A woman is slicing an onion. Sentence 2: A man is cutting and onion.", "output": "3 - probably" }, "54": { "input": "Sentence 1: A man is playing the guitar. Sentence 2: A man is playing the drums.", "output": "2 - possibly" }, "55": { "input": "Sentence 1: A woman is slicing a pepper. Sentence 2: A woman is cutting a red pepper.", "output": "4 - almost perfectly" }, "56": { "input": "Sentence 1: A man is playing the drums. Sentence 2: A man plays the drum.", "output": "5 - perfectly" }, "57": { "input": "Sentence 1: A woman rides a horse. Sentence 2: A woman is riding a horse.", "output": "5 - perfectly" }, "58": { "input": "Sentence 1: A man is eating a banana by a tree. Sentence 2: A man is eating a banana.", "output": "4 - almost perfectly" }, "59": { "input": "Sentence 1: A cat is playing a key board. Sentence 2: A man is playing two keyboards.", "output": "2 - possibly" }, "60": { "input": "Sentence 1: A man chops down a tree with an axe. Sentence 2: A man cut a tree with an axe.", "output": "5 - perfectly" }, "61": { "input": "Sentence 1: A kid plays with a toy phone. Sentence 2: A little boy plays with a toy phone.", "output": "4 - almost perfectly" }, "62": { "input": "Sentence 1: A man is riding a motorcycle. Sentence 2: A man is riding a horse.", "output": "1 - probably not" }, "63": { "input": "Sentence 1: A man is riding a motorcycle. Sentence 2: A man is riding a horse.", "output": "1 - probably not" }, "64": { "input": "Sentence 1: A squirrel is spinning around in circles. Sentence 2: A squirrel runs around in circles.", "output": "4 - almost perfectly" }, "65": { "input": "Sentence 1: A man and a woman are kissing. Sentence 2: A man and woman kiss.", "output": "5 - perfectly" }, "66": { "input": "Sentence 1: A man is getting into a car. Sentence 2: A man is getting into a car in a garage.", "output": "4 - almost perfectly" }, "67": { "input": "Sentence 1: A man is dancing. Sentence 2: A man is talking.", "output": "1 - probably not" }, "68": { "input": "Sentence 1: A man is playing the guitar and singing. Sentence 2: A man is playing the guitar.", "output": "3 - probably" }, "69": { "input": "Sentence 1: A person is cutting mushrooms. Sentence 2: A person is cutting mushrooms with a knife.", "output": "4 - almost perfectly" }, "70": { "input": "Sentence 1: A tiger cub is making a sound. Sentence 2: A tiger is walking around.", "output": "2 - possibly" }, "71": { "input": "Sentence 1: A person is slicing onions. Sentence 2: A person is peeling an onion.", "output": "3 - probably" }, "72": { "input": "Sentence 1: A man is playing the piano. Sentence 2: A man is playing the trumpet.", "output": "2 - possibly" }, "73": { "input": "Sentence 1: A woman is peeling a potato. Sentence 2: A woman is peeling an apple.", "output": "2 - possibly" }, "74": { "input": "Sentence 1: A pankda is eating bamboo. Sentence 2: A panda bear is eating some bamboo.", "output": "4 - almost perfectly" }, "75": { "input": "Sentence 1: A person is peeling an onion. Sentence 2: A person is peeling an eggplant.", "output": "2 - possibly" }, "76": { "input": "Sentence 1: A monkey pushes another monkey. Sentence 2: The monkey pushed the other monkey.", "output": "5 - perfectly" }, "77": { "input": "Sentence 1: A squirrel runs around in circles. Sentence 2: A squirrel is moving in circles.", "output": "4 - almost perfectly" }, "78": { "input": "Sentence 1: A man is tying his shoe. Sentence 2: A man ties his shoe.", "output": "5 - perfectly" }, "79": { "input": "Sentence 1: A boy is singing and playing the piano. Sentence 2: A boy is playing the piano.", "output": "3 - probably" }, "80": { "input": "Sentence 1: A dog is eating water melon. Sentence 2: A dog is eating a piece of watermelon.", "output": "4 - almost perfectly" }, "81": { "input": "Sentence 1: A woman is chopping broccoli. Sentence 2: A woman is chopping broccoli with a knife.", "output": "4 - almost perfectly" }, "82": { "input": "Sentence 1: A man is peeling a potato. Sentence 2: A man peeled a potatoe.", "output": "4 - almost perfectly" }, "83": { "input": "Sentence 1: A woman is playing a guitar. Sentence 2: A man plays a guitar.", "output": "2 - possibly" }, "84": { "input": "Sentence 1: A woman is slicing tomato. Sentence 2: A man is slicing onion.", "output": "2 - possibly" }, "85": { "input": "Sentence 1: A man swims underwater. Sentence 2: A woman is swimming underwater.", "output": "2 - possibly" }, "86": { "input": "Sentence 1: A man and woman are talking. Sentence 2: A man and woman is eating.", "output": "2 - possibly" }, "87": { "input": "Sentence 1: A small dog is chasing a yoga ball. Sentence 2: A dog is chasing a ball.", "output": "4 - almost perfectly" }, "88": { "input": "Sentence 1: The men are playing cricket. Sentence 2: The men are playing basketball.", "output": "2 - possibly" }, "89": { "input": "Sentence 1: A man rides off on a motorcycle. Sentence 2: A man is riding on a motorcycle.", "output": "4 - almost perfectly" }, "90": { "input": "Sentence 1: A man is playing a guitar. Sentence 2: A man is singing and playing a guitar.", "output": "4 - almost perfectly" }, "91": { "input": "Sentence 1: The man talked on the telephone. Sentence 2: The man is talking on the phone.", "output": "4 - almost perfectly" }, "92": { "input": "Sentence 1: A man is fishing. Sentence 2: A man is exercising.", "output": "0 - definitely not" }, "93": { "input": "Sentence 1: A man is levitating. Sentence 2: A man is talking.", "output": "1 - probably not" }, "94": { "input": "Sentence 1: Two boys are driving. Sentence 2: Two bays are dancing.", "output": "1 - probably not" }, "95": { "input": "Sentence 1: A man is riding on a horse. Sentence 2: A girl is riding a horse.", "output": "3 - probably" }, "96": { "input": "Sentence 1: A man is riding a bicycle. Sentence 2: A monkey is riding a bike.", "output": "2 - possibly" }, "97": { "input": "Sentence 1: A man is slicing potatoes. Sentence 2: A woman is peeling potato.", "output": "2 - possibly" }, "98": { "input": "Sentence 1: A woman is peeling a potato. Sentence 2: A man is slicing potato.", "output": "2 - possibly" }, "99": { "input": "Sentence 1: A man is playing a guitar. Sentence 2: Someoen is playing guitar.", "output": "4 - almost perfectly" }, "100": { "input": "Sentence 1: A woman is slicing a leek. Sentence 2: A woman is slicing ginger.", "output": "2 - possibly" }, "101": { "input": "Sentence 1: The man cut a paper plate. Sentence 2: A man is cutting a paper plate.", "output": "5 - perfectly" }, "102": { "input": "Sentence 1: The man is playing the guitar. Sentence 2: A man is playing the flute.", "output": "2 - possibly" }, "103": { "input": "Sentence 1: A man is playing the piano. Sentence 2: The man is playing the violin.", "output": "2 - possibly" }, "104": { "input": "Sentence 1: A woman is slicing up some meat. Sentence 2: A woman is breading some meat.", "output": "2 - possibly" }, "105": { "input": "Sentence 1: A man is playing on his keyboard. Sentence 2: A man is playing a keyboard piano.", "output": "4 - almost perfectly" }, "106": { "input": "Sentence 1: The lady chopped up the green onions. Sentence 2: The lady cut up a green onion.", "output": "5 - perfectly" }, "107": { "input": "Sentence 1: Someone is sitring noodles in water. Sentence 2: A woman is boiling noodles in water.", "output": "3 - probably" }, "108": { "input": "Sentence 1: Lionel Richie is dancing on the ceiling. Sentence 2: Lionel Ritchie dances while standing on the ceiling.", "output": "4 - almost perfectly" }, "109": { "input": "Sentence 1: A man is playing a piano. Sentence 2: A person is playing the piano.", "output": "4 - almost perfectly" }, "110": { "input": "Sentence 1: A woman is playing flute. Sentence 2: A woman plays on a flute.", "output": "5 - perfectly" }, "111": { "input": "Sentence 1: A boy is checking a calender. Sentence 2: A boy is looking at a calendar.", "output": "4 - almost perfectly" }, "112": { "input": "Sentence 1: A woman is cutting an onion. Sentence 2: A woman is chopping onions.", "output": "5 - perfectly" }, "113": { "input": "Sentence 1: A man is playing guitar. Sentence 2: A man plays a guitar.", "output": "5 - perfectly" }, "114": { "input": "Sentence 1: A woman is using a sewing machine. Sentence 2: A woman is sewing on a machine.", "output": "5 - perfectly" }, "115": { "input": "Sentence 1: A woman is flipping pancakes. Sentence 2: A cartoon chef is flipping pancakes.", "output": "3 - probably" }, "116": { "input": "Sentence 1: A man is running on the road. Sentence 2: A car is driving down the road.", "output": "1 - probably not" }, "117": { "input": "Sentence 1: A man is riding on a horse. Sentence 2: A man is talking on a phone.", "output": "1 - probably not" }, "118": { "input": "Sentence 1: A man is riding a bike. Sentence 2: A man is riding on a horse.", "output": "2 - possibly" }, "119": { "input": "Sentence 1: A woman is dancing. Sentence 2: A man is eating.", "output": "0 - definitely not" }, "120": { "input": "Sentence 1: A man is playing a piano. Sentence 2: A man is playing a flute.", "output": "2 - possibly" }, "121": { "input": "Sentence 1: A man is playing a flute. Sentence 2: A man is playing a piano.", "output": "2 - possibly" }, "122": { "input": "Sentence 1: A man is spinning. Sentence 2: A man is dancing.", "output": "2 - possibly" }, "123": { "input": "Sentence 1: A monkey is swinging from limb to limb. Sentence 2: A monkey is swinging from tree to tree.", "output": "3 - probably" }, "124": { "input": "Sentence 1: The people got off the train. Sentence 2: The people got off the train at the station.", "output": "4 - almost perfectly" }, "125": { "input": "Sentence 1: A dog is jumping on a trampoline. Sentence 2: A dog bounces on a trampoline.", "output": "5 - perfectly" }, "126": { "input": "Sentence 1: A boy is playing an instrument. Sentence 2: A man is playing a trumpet.", "output": "2 - possibly" }, "127": { "input": "Sentence 1: A woman plays the guitar. Sentence 2: A man sings and plays the guitar.", "output": "2 - possibly" }, "128": { "input": "Sentence 1: A woman is picking a can. Sentence 2: A woman is slicing a tomato.", "output": "1 - probably not" }, "129": { "input": "Sentence 1: A man is climbing a rope. Sentence 2: A man climbs up a rope.", "output": "5 - perfectly" }, "130": { "input": "Sentence 1: A man is lifting a car. Sentence 2: A man is climbing a wall.", "output": "1 - probably not" }, "131": { "input": "Sentence 1: The shirtless man sat in a chair. Sentence 2: A shirtless man is sitting on a chair.", "output": "4 - almost perfectly" }, "132": { "input": "Sentence 1: Two women are wrestling. Sentence 2: Two women are wrestling on the floor.", "output": "4 - almost perfectly" }, "133": { "input": "Sentence 1: The puppy played with a blue tennis ball. Sentence 2: A puppy is playing with a tennis ball.", "output": "4 - almost perfectly" }, "134": { "input": "Sentence 1: A kangroo is eating something. Sentence 2: A kangaroo is eating.", "output": "5 - perfectly" }, "135": { "input": "Sentence 1: A cat is playing a piano. Sentence 2: A man is playing a guitar.", "output": "1 - probably not" }, "136": { "input": "Sentence 1: The man cut some carpet with a knife. Sentence 2: A man is cutting carpet with a knife.", "output": "5 - perfectly" }, "137": { "input": "Sentence 1: A woman is riding a motorized scooter down a road. Sentence 2: A man is riding a motor scooter.", "output": "2 - possibly" }, "138": { "input": "Sentence 1: someone is slicing a vegetable. Sentence 2: Someone is slicing a tomato.", "output": "3 - probably" }, "139": { "input": "Sentence 1: A woman is dancing. Sentence 2: A man is talking.", "output": "0 - definitely not" }, "140": { "input": "Sentence 1: A dog licks up a baby's drool. Sentence 2: A dog licks a baby.", "output": "2 - possibly" }, "141": { "input": "Sentence 1: A man is rowing a boat. Sentence 2: A man is slicing a tomato.", "output": "0 - definitely not" }, "142": { "input": "Sentence 1: A man cuts up potatos. Sentence 2: A man slices potatoes.", "output": "5 - perfectly" }, "143": { "input": "Sentence 1: A woman is chopping up garlic. Sentence 2: The woman is dicing garlic.", "output": "5 - perfectly" }, "144": { "input": "Sentence 1: An animal run in circles. Sentence 2: A squirrel runs in circles.", "output": "4 - almost perfectly" }, "145": { "input": "Sentence 1: A man is walking slowly across a rope bridge. Sentence 2: A boy is walking across a bridge.", "output": "3 - probably" }, "146": { "input": "Sentence 1: A man is playing the guitar. Sentence 2: A man seated in a room is playing the guitar.", "output": "4 - almost perfectly" }, "147": { "input": "Sentence 1: A man plays the flute. Sentence 2: A man is playing a flute.", "output": "5 - perfectly" }, "148": { "input": "Sentence 1: A woman cracks two eggs into a glass bowl. Sentence 2: A woman is cracking an egg into a bowl.", "output": "4 - almost perfectly" }, "149": { "input": "Sentence 1: A man is cutting a fish. Sentence 2: A man guts a fish.", "output": "3 - probably" }, "150": { "input": "Sentence 1: A man pours oil on some tomatos. Sentence 2: The man poured oil on the cut tomatoes.", "output": "4 - almost perfectly" }, "151": { "input": "Sentence 1: A man is slicing something. Sentence 2: A man is slicing a bun.", "output": "3 - probably" }, "152": { "input": "Sentence 1: A man is paddling a canoe. Sentence 2: A man is playing a harp.", "output": "1 - probably not" }, "153": { "input": "Sentence 1: The woman picked up the kangaroo. Sentence 2: A woman picks up a baby kangaroo.", "output": "4 - almost perfectly" }, "154": { "input": "Sentence 1: Fish are swimming. Sentence 2: A fish is swimming.", "output": "4 - almost perfectly" }, "155": { "input": "Sentence 1: Two women mix something in a food processor. Sentence 2: Two women make something in a blender.", "output": "4 - almost perfectly" }, "156": { "input": "Sentence 1: A person is surfing a large wave. Sentence 2: A person is surfing.", "output": "4 - almost perfectly" }, "157": { "input": "Sentence 1: A man is playing a guitar. Sentence 2: A man is stabbing a target.", "output": "1 - probably not" }, "158": { "input": "Sentence 1: A man is playing a flute in a band. Sentence 2: A man is playing a guitar.", "output": "2 - possibly" }, "159": { "input": "Sentence 1: The man spread butter on the loaf of bread. Sentence 2: A man is spreading butter onto bread.", "output": "4 - almost perfectly" }, "160": { "input": "Sentence 1: A person is boiling noodles. Sentence 2: A woman is boiling noodles in water.", "output": "4 - almost perfectly" }, "161": { "input": "Sentence 1: A group of people dance on a hill. Sentence 2: A group of people are dancing.", "output": "3 - probably" }, "162": { "input": "Sentence 1: A man is dancing outside. Sentence 2: A man is playing flute.", "output": "1 - probably not" }, "163": { "input": "Sentence 1: A woman is feeding a man. Sentence 2: A woman is mixing meat.", "output": "1 - probably not" }, "164": { "input": "Sentence 1: A man is putting a pan into an oven. Sentence 2: A woman is cutting an onion.", "output": "1 - probably not" }, "165": { "input": "Sentence 1: A woman is sitting at a desk. Sentence 2: A woman is riding a donkey.", "output": "0 - definitely not" }, "166": { "input": "Sentence 1: Medics transport a patient on a stretcher. Sentence 2: A doctor rushes a patient on a stretcher.", "output": "3 - probably" }, "167": { "input": "Sentence 1: A woman is playing a flute on stage. Sentence 2: The woman is playing the flute.", "output": "4 - almost perfectly" }, "168": { "input": "Sentence 1: Two baby pandas are playing. Sentence 2: Two pandas are laying together.", "output": "3 - probably" }, "169": { "input": "Sentence 1: A baby is laughing. Sentence 2: A baby is laughing and giggling.", "output": "4 - almost perfectly" }, "170": { "input": "Sentence 1: A man is playing a guitar. Sentence 2: A boy is playing a piano.", "output": "1 - probably not" }, "171": { "input": "Sentence 1: A man is folding paper. Sentence 2: A woman is slicing a pepper.", "output": "1 - probably not" }, "172": { "input": "Sentence 1: Three women are dancing. Sentence 2: The man is dancing.", "output": "2 - possibly" }, "173": { "input": "Sentence 1: The cats are playing with each other. Sentence 2: Two cats are fighting each other.", "output": "3 - probably" }, "174": { "input": "Sentence 1: A person is writing. Sentence 2: A person is writing with a pencil.", "output": "4 - almost perfectly" }, "175": { "input": "Sentence 1: A man is running. Sentence 2: A man is running down a road.", "output": "4 - almost perfectly" }, "176": { "input": "Sentence 1: The woman is rolling dough. Sentence 2: A woman is flouring and rolling dough.", "output": "4 - almost perfectly" }, "177": { "input": "Sentence 1: A woman is adding spices on a meat. Sentence 2: Woman is adding sugar to meat.", "output": "3 - probably" }, "178": { "input": "Sentence 1: A woman is adding oil on fishes. Sentence 2: A woman is pouring water on fish.", "output": "2 - possibly" }, "179": { "input": "Sentence 1: A young boy is holding a guitar. Sentence 2: A little boy is playing a guitar.", "output": "3 - probably" }, "180": { "input": "Sentence 1: A cheetah is running. Sentence 2: A cheetah is running across a field.", "output": "4 - almost perfectly" }, "181": { "input": "Sentence 1: The man is eating pizza. Sentence 2: A man is eating a slice of pizza.", "output": "5 - perfectly" }, "182": { "input": "Sentence 1: An orangutan is riding a bus. Sentence 2: A monkey is riding on a bus.", "output": "4 - almost perfectly" }, "183": { "input": "Sentence 1: A man and a woman talk in a diner. Sentence 2: A man and a woman are riding on a bicycle.", "output": "1 - probably not" }, "184": { "input": "Sentence 1: A man is playing a guitar. Sentence 2: A man is cleaning a glass door.", "output": "0 - definitely not" }, "185": { "input": "Sentence 1: A girl is singing and playing a guitar. Sentence 2: A young man is singing while playing the guitar.", "output": "2 - possibly" }, "186": { "input": "Sentence 1: A girl is communicating with sign language. Sentence 2: A young girl is using sign language.", "output": "4 - almost perfectly" }, "187": { "input": "Sentence 1: A woman is doing weight exercises. Sentence 2: A woman is doing her hair.", "output": "0 - definitely not" }, "188": { "input": "Sentence 1: A man is getting inside a car. Sentence 2: An elderly man is getting into a red car.", "output": "4 - almost perfectly" }, "189": { "input": "Sentence 1: A big green ball knocks a potato over. Sentence 2: A large green ball hits a potato.", "output": "4 - almost perfectly" }, "190": { "input": "Sentence 1: A cat is playing keyboards. Sentence 2: A cat is playing a piano.", "output": "3 - probably" }, "191": { "input": "Sentence 1: Two dogs swim in a pool. Sentence 2: Dogs are swimming in a pool.", "output": "4 - almost perfectly" }, "192": { "input": "Sentence 1: The man used a chopper to chop the onion. Sentence 2: The man used a machine to chop up a potatoe.", "output": "2 - possibly" }, "193": { "input": "Sentence 1: A woman slices tofu. Sentence 2: A woman is cutting tofu.", "output": "5 - perfectly" }, "194": { "input": "Sentence 1: A herd of deer are crossing the street. Sentence 2: A herd of caribou are crossing a road.", "output": "3 - probably" }, "195": { "input": "Sentence 1: The person is riding the horse. Sentence 2: A man is riding a horse.", "output": "4 - almost perfectly" }, "196": { "input": "Sentence 1: Someone is feeding a animal. Sentence 2: Someone is playing a piano.", "output": "0 - definitely not" }, "197": { "input": "Sentence 1: Someone is slicing tortila's. Sentence 2: Someone is riding a horse.", "output": "0 - definitely not" }, "198": { "input": "Sentence 1: Someone is mixing ingrediants. Sentence 2: Someone is sewing things.", "output": "0 - definitely not" }, "199": { "input": "Sentence 1: A rooster pecks at a dead mouse. Sentence 2: A chicken is pecking at a dead mouse.", "output": "4 - almost perfectly" }, "200": { "input": "Sentence 1: A woman holds a kangaroo. Sentence 2: A woman is picking up a kangaroo.", "output": "3 - probably" }, "201": { "input": "Sentence 1: A man is playing with frogs Sentence 2: A cat is playing with a camera.", "output": "1 - probably not" }, "202": { "input": "Sentence 1: Two men are talking. Sentence 2: Two men are playing guitar.", "output": "2 - possibly" }, "203": { "input": "Sentence 1: A man is running across a high wire. Sentence 2: A man is running on rope.", "output": "3 - probably" }, "204": { "input": "Sentence 1: A man is mowing a lawn. Sentence 2: A woman is cutting a lemon.", "output": "0 - definitely not" }, "205": { "input": "Sentence 1: A man is opening a door. Sentence 2: A man is playing a guitar.", "output": "1 - probably not" }, "206": { "input": "Sentence 1: A man is slicing a potato into pieces. Sentence 2: A man is cutting a potato.", "output": "4 - almost perfectly" }, "207": { "input": "Sentence 1: The woman is cutting cooked octopus. Sentence 2: A woman is chopping octopus.", "output": "4 - almost perfectly" }, "208": { "input": "Sentence 1: A man is punching through boards. Sentence 2: A dog is running through water.", "output": "0 - definitely not" }, "209": { "input": "Sentence 1: A man is dancing. Sentence 2: A man is eating bread.", "output": "1 - probably not" }, "210": { "input": "Sentence 1: Someone is playing a piano. Sentence 2: A man is playing a guitar.", "output": "1 - probably not" }, "211": { "input": "Sentence 1: A boy is playing a key-board. Sentence 2: A boy is playing the piano.", "output": "3 - probably" }, "212": { "input": "Sentence 1: A person plays a keyboard. Sentence 2: Someone is playing a keyboard.", "output": "5 - perfectly" }, "213": { "input": "Sentence 1: A man is shooting a gun. Sentence 2: A man is spitting.", "output": "0 - definitely not" }, "214": { "input": "Sentence 1: Someone is slicing an onion. Sentence 2: Someoen is peeling a potato.", "output": "1 - probably not" }, "215": { "input": "Sentence 1: A man is swimming. Sentence 2: A woman is slicing meat.", "output": "0 - definitely not" }, "216": { "input": "Sentence 1: A man is playing the guitar. Sentence 2: A man plays an acoustic guitar.", "output": "4 - almost perfectly" }, "217": { "input": "Sentence 1: A woman is slicing a pumpkin. Sentence 2: A woman is riding an elephant.", "output": "0 - definitely not" }, "218": { "input": "Sentence 1: A woman is dancing. Sentence 2: A woman is kneading dough.", "output": "0 - definitely not" }, "219": { "input": "Sentence 1: A woman is cracking eggs into a bowl. Sentence 2: A woman is placing skewers onto a rack.", "output": "1 - probably not" }, "220": { "input": "Sentence 1: A car is moving through a road. Sentence 2: A car is driving down the road.", "output": "4 - almost perfectly" }, "221": { "input": "Sentence 1: Someone is greasing a pan. Sentence 2: Smeone is laying down.", "output": "0 - definitely not" }, "222": { "input": "Sentence 1: A man is playing guitar. Sentence 2: A man is draining pasta.", "output": "0 - definitely not" }, "223": { "input": "Sentence 1: A woman is drinking vodka. Sentence 2: A woman is exercising.", "output": "0 - definitely not" }, "224": { "input": "Sentence 1: A woman is cutting meat into pieces. Sentence 2: A woman is cutting up some meat.", "output": "5 - perfectly" }, "225": { "input": "Sentence 1: A man is rinsing a steak. Sentence 2: A man is playing a guitar.", "output": "1 - probably not" }, "226": { "input": "Sentence 1: A man is selling items. Sentence 2: A man is cleaning the house.", "output": "1 - probably not" }, "227": { "input": "Sentence 1: A man is jumping a wall. Sentence 2: A man jumps onto a short wall.", "output": "3 - probably" }, "228": { "input": "Sentence 1: Runners race around a track. Sentence 2: Runners compete in a race.", "output": "3 - probably" }, "229": { "input": "Sentence 1: A man is kicking a soccer ball. Sentence 2: A man is mixing a bowl.", "output": "1 - probably not" }, "230": { "input": "Sentence 1: A woman is frying something. Sentence 2: A woman is riding a horse.", "output": "1 - probably not" }, "231": { "input": "Sentence 1: A cat is licking a sucker. Sentence 2: A woman is slicing cucumber.", "output": "0 - definitely not" }, "232": { "input": "Sentence 1: A woman is dancing by a fire. Sentence 2: A woman is taking a bath.", "output": "1 - probably not" }, "233": { "input": "Sentence 1: The man is slicing a fish open. Sentence 2: A man is slicing a potato.", "output": "2 - possibly" }, "234": { "input": "Sentence 1: Butter is melting in a pan. Sentence 2: A man is melting butter in a pan.", "output": "4 - almost perfectly" }, "235": { "input": "Sentence 1: Three boys are dancing. Sentence 2: Kids are dancing.", "output": "3 - probably" }, "236": { "input": "Sentence 1: A woman is playing a game with a man. Sentence 2: A man is playing piano.", "output": "1 - probably not" }, "237": { "input": "Sentence 1: The man is driving a white car. Sentence 2: A man is giving an interview.", "output": "0 - definitely not" }, "238": { "input": "Sentence 1: A man drove his car. Sentence 2: A man is driving a car.", "output": "4 - almost perfectly" }, "239": { "input": "Sentence 1: A car backs out of a space. Sentence 2: A car is backing out of a blocked lane.", "output": "3 - probably" }, "240": { "input": "Sentence 1: A man puts some cheese on a pizza. Sentence 2: The man sprinkled cheese on the pizza.", "output": "5 - perfectly" }, "241": { "input": "Sentence 1: The boy is playing the piano. Sentence 2: A boy plays a piano.", "output": "5 - perfectly" }, "242": { "input": "Sentence 1: The man played his guitar. Sentence 2: A man is playing a guitar.", "output": "4 - almost perfectly" }, "243": { "input": "Sentence 1: A man is riding a horse. Sentence 2: A man is playing a keyboard.", "output": "0 - definitely not" }, "244": { "input": "Sentence 1: A man is walking on a rope. Sentence 2: A man is riding a mo-pad.", "output": "0 - definitely not" }, "245": { "input": "Sentence 1: A girl is playing a flute. Sentence 2: A band is playing on a stage.", "output": "1 - probably not" }, "246": { "input": "Sentence 1: People step off a train. Sentence 2: A group of people get off a train.", "output": "5 - perfectly" }, "247": { "input": "Sentence 1: A woman is sewing on a machine. Sentence 2: A woman is breading some meat.", "output": "1 - probably not" }, "248": { "input": "Sentence 1: A dog is looking into swimming pool. Sentence 2: A dog is walking around a pool.", "output": "2 - possibly" }, "249": { "input": "Sentence 1: A man is buttering a piece of bread. Sentence 2: A man is applying butter to bread.", "output": "5 - perfectly" }, "250": { "input": "Sentence 1: A man is cutting tomatoes into pieces. Sentence 2: A woman is cutting some vegetables.", "output": "2 - possibly" }, "251": { "input": "Sentence 1: Three teenage girls danced in the room. Sentence 2: Some teenage girls are dancing for the camera.", "output": "2 - possibly" }, "252": { "input": "Sentence 1: A lion is walking. Sentence 2: A lion is pacing in a pen.", "output": "2 - possibly" }, "253": { "input": "Sentence 1: A man shooting a car. Sentence 2: A man is cutting a potato.", "output": "0 - definitely not" }, "254": { "input": "Sentence 1: A black horse is running around. Sentence 2: The horse is running.", "output": "4 - almost perfectly" }, "255": { "input": "Sentence 1: A woman is deveining shrimp. Sentence 2: A man is dancing in rain.", "output": "0 - definitely not" }, "256": { "input": "Sentence 1: A man is riding a horse. Sentence 2: A woman is washing a freezer.", "output": "0 - definitely not" }, "257": { "input": "Sentence 1: A man walks down a path. Sentence 2: A man walks across a tight rope.", "output": "1 - probably not" }, "258": { "input": "Sentence 1: A man is slicing a potato. Sentence 2: A woman is cutting a jalepeno.", "output": "1 - probably not" }, "259": { "input": "Sentence 1: A dog is barking at a ball. Sentence 2: A dog swims after a tennis ball.", "output": "2 - possibly" }, "260": { "input": "Sentence 1: A man is walking along a path through wilderness. Sentence 2: A man is walking down a road.", "output": "2 - possibly" }, "261": { "input": "Sentence 1: An elderly man is speaking at a podium. Sentence 2: A man is making a speech at the podium.", "output": "4 - almost perfectly" }, "262": { "input": "Sentence 1: A man riding a horse in slow motion. Sentence 2: A man is riding on a horse.", "output": "3 - probably" }, "263": { "input": "Sentence 1: A person is cutting some burrata cheese. Sentence 2: The person is slicing cheese.", "output": "4 - almost perfectly" }, "264": { "input": "Sentence 1: The man is shooting an automatic rifle. Sentence 2: A man is shooting a gun.", "output": "4 - almost perfectly" }, "265": { "input": "Sentence 1: A woman is filing her fingernails with an emery board. Sentence 2: A woman is feeding her baby with a bottle.", "output": "0 - definitely not" }, "266": { "input": "Sentence 1: A man is riding a skateboard. Sentence 2: A woman is cutting a potato.", "output": "0 - definitely not" }, "267": { "input": "Sentence 1: A woman is taking a shower. Sentence 2: A man is riding a white horse.", "output": "0 - definitely not" }, "268": { "input": "Sentence 1: A man is dancing. Sentence 2: A man is riding a horse.", "output": "1 - probably not" }, "269": { "input": "Sentence 1: A man is rowing a boat. Sentence 2: A man is shooting off a gun.", "output": "1 - probably not" }, "270": { "input": "Sentence 1: A woman is riding a horse on a beach. Sentence 2: A man is carrying another man on his back.", "output": "0 - definitely not" }, "271": { "input": "Sentence 1: A man holds a small animal in one hand. Sentence 2: A man shows off a small monkey.", "output": "2 - possibly" }, "272": { "input": "Sentence 1: A person is folding a square paper piece. Sentence 2: A man is folding paper.", "output": "3 - probably" }, "273": { "input": "Sentence 1: A person is frying meat in a pan. Sentence 2: A person is holding a skunk.", "output": "1 - probably not" }, "274": { "input": "Sentence 1: A chimpanzee is hurting a woman. Sentence 2: A man is driving a car.", "output": "0 - definitely not" }, "275": { "input": "Sentence 1: The woman is peeling shrimp. Sentence 2: The man is holding a lemur.", "output": "0 - definitely not" }, "276": { "input": "Sentence 1: Two zebras are playing. Sentence 2: Zebras are socializing.", "output": "4 - almost perfectly" }, "277": { "input": "Sentence 1: A woman is slicing butter. Sentence 2: A woman slices tofu.", "output": "2 - possibly" }, "278": { "input": "Sentence 1: Some men are playing guitars. Sentence 2: Three men are playing guitars and singing together.", "output": "3 - probably" }, "279": { "input": "Sentence 1: The elephants sprayed water on themselves. Sentence 2: Elephants spray themselves with water.", "output": "4 - almost perfectly" }, "280": { "input": "Sentence 1: A dog sat at the counter of a store. Sentence 2: The dog is standing at the counter.", "output": "3 - probably" }, "281": { "input": "Sentence 1: A woman is slicing some vegetables. Sentence 2: The woman is dicing garlic.", "output": "3 - probably" }, "282": { "input": "Sentence 1: A badger is burrowing a hole. Sentence 2: A badger is digging the earth.", "output": "5 - perfectly" }, "283": { "input": "Sentence 1: A woman is water skiing on a lake. Sentence 2: A man is playing a flute.", "output": "0 - definitely not" }, "284": { "input": "Sentence 1: A girl is playing a violin. Sentence 2: A baby is laughing and giggling.", "output": "0 - definitely not" }, "285": { "input": "Sentence 1: A helicopter is landing on a helipad. Sentence 2: A helicopter lands.", "output": "4 - almost perfectly" }, "286": { "input": "Sentence 1: A woman is cutting up a chicken. Sentence 2: A woman is slicing meat.", "output": "3 - probably" }, "287": { "input": "Sentence 1: A woman is cutting a cucumber. Sentence 2: A man is playing a guitar.", "output": "0 - definitely not" }, "288": { "input": "Sentence 1: A puppy is sliding backwards along the floor. Sentence 2: A puppy is pushing itself backwards.", "output": "4 - almost perfectly" }, "289": { "input": "Sentence 1: A woman splits garlic cloves. Sentence 2: A woman is breaking a head of garlic into cloves.", "output": "5 - perfectly" }, "290": { "input": "Sentence 1: A dog is looking into swimming pool. Sentence 2: A dog is walking along the edge of a pool.", "output": "3 - probably" }, "291": { "input": "Sentence 1: A man is drawing a picture. Sentence 2: A person is drawing.", "output": "4 - almost perfectly" }, "292": { "input": "Sentence 1: A woman is picking tomatoes. Sentence 2: A woman is pouring batter into a bowl.", "output": "1 - probably not" }, "293": { "input": "Sentence 1: A man is looking at a computer monitor. Sentence 2: A man is using a laptop.", "output": "3 - probably" }, "294": { "input": "Sentence 1: The boy is riding a tricycle. Sentence 2: A woman is riding a water scooter.", "output": "1 - probably not" }, "295": { "input": "Sentence 1: Two men compete in a tire rolling race. Sentence 2: Two people flipped tractor tires in a race.", "output": "3 - probably" }, "296": { "input": "Sentence 1: A person is cutting a meat. Sentence 2: A person riding a mechanical bull", "output": "0 - definitely not" }, "297": { "input": "Sentence 1: A man is playing a violin. Sentence 2: A woman is using a sewing machine.", "output": "0 - definitely not" }, "298": { "input": "Sentence 1: The baby crawled through the doorway. Sentence 2: A baby is crawling across the floor.", "output": "2 - possibly" }, "299": { "input": "Sentence 1: A man is playing keyboard. Sentence 2: A person is playing a piano.", "output": "2 - possibly" }, "300": { "input": "Sentence 1: A man is smelling two pizzas. Sentence 2: A woman is feeding a man.", "output": "0 - definitely not" }, "301": { "input": "Sentence 1: A monkey pulls the tail of a dog. Sentence 2: A monkey is teasing a dog at the zoo.", "output": "3 - probably" }, "302": { "input": "Sentence 1: A dog lies on his back on a wooden floor. Sentence 2: A dog is laying on the floor.", "output": "4 - almost perfectly" }, "303": { "input": "Sentence 1: A woman is frying something in the pan. Sentence 2: A man is playing his guitar.", "output": "0 - definitely not" }, "304": { "input": "Sentence 1: A man puts seasoning in a bowl of water. Sentence 2: The man added seasoning to water in a bowl.", "output": "5 - perfectly" }, "305": { "input": "Sentence 1: An elderly woman is pouring oil into a frying pan. Sentence 2: A tied man is putting into water.", "output": "0 - definitely not" }, "306": { "input": "Sentence 1: A woman is chopping an onion. Sentence 2: A woman is slicing partially into half of an onion.", "output": "3 - probably" }, "307": { "input": "Sentence 1: The woman picked up the kangaroo. Sentence 2: A woman is carrying a kangaroo.", "output": "4 - almost perfectly" }, "308": { "input": "Sentence 1: A dog biting on a can. Sentence 2: A dog opens a can of food.", "output": "2 - possibly" }, "309": { "input": "Sentence 1: A woman is deboning a fish. Sentence 2: A man catches a fish.", "output": "1 - probably not" }, "310": { "input": "Sentence 1: A man is mowing grass. Sentence 2: A man is busting concrete.", "output": "1 - probably not" }, "311": { "input": "Sentence 1: A cat is watching a TV. Sentence 2: A man is slicing a leave.", "output": "0 - definitely not" }, "312": { "input": "Sentence 1: The boy is stuck in the door of the doghouse. Sentence 2: A child is stuck in a dog house.", "output": "4 - almost perfectly" }, "313": { "input": "Sentence 1: People flip into a swimming pool. Sentence 2: Men are falling into a pool.", "output": "3 - probably" }, "314": { "input": "Sentence 1: A woman swims underwater. Sentence 2: A woman is swimming.", "output": "4 - almost perfectly" }, "315": { "input": "Sentence 1: A man is playing a guitar. Sentence 2: A woman is dancing.", "output": "0 - definitely not" }, "316": { "input": "Sentence 1: A bear is running from two dogs. Sentence 2: A bear is fighting wolves.", "output": "1 - probably not" }, "317": { "input": "Sentence 1: A woman is resting in a floating raft. Sentence 2: A woman relaxes in an inner tube.", "output": "4 - almost perfectly" }, "318": { "input": "Sentence 1: A man is dieing in an operating room. Sentence 2: A man is kissing a woman in stage.", "output": "0 - definitely not" }, "319": { "input": "Sentence 1: A man is holding a leaf. Sentence 2: A woman is watching television.", "output": "0 - definitely not" }, "320": { "input": "Sentence 1: A person is riding a horse. Sentence 2: A woman is slicing potatoes.", "output": "0 - definitely not" }, "321": { "input": "Sentence 1: A woman is slicing octopus. Sentence 2: A man is playing the guitar.", "output": "0 - definitely not" }, "322": { "input": "Sentence 1: A man is breaking water jugs. Sentence 2: A woman is peeling garlic.", "output": "0 - definitely not" }, "323": { "input": "Sentence 1: A man is playing a guitar. Sentence 2: A woman is cutting vegetable.", "output": "0 - definitely not" }, "324": { "input": "Sentence 1: A girl is eating a cupcake. Sentence 2: A man is slicing a cucumber.", "output": "0 - definitely not" }, "325": { "input": "Sentence 1: People ride and paddle a raft. Sentence 2: Four people are floating on a raft.", "output": "2 - possibly" }, "326": { "input": "Sentence 1: The lady cut up a potatoe. Sentence 2: A man is cutting a potato.", "output": "2 - possibly" }, "327": { "input": "Sentence 1: The missile exploded. Sentence 2: A rocket exploded.", "output": "3 - probably" }, "328": { "input": "Sentence 1: A woman is dancing with other women. Sentence 2: A woman is shredding chicken.", "output": "0 - definitely not" }, "329": { "input": "Sentence 1: A boy is pushing a van. Sentence 2: A person is slicing a tomato.", "output": "0 - definitely not" }, "330": { "input": "Sentence 1: A boy is making some dance steps. Sentence 2: A boy is pouring something from a pitcher.", "output": "0 - definitely not" }, "331": { "input": "Sentence 1: A woman is opening a soda and drinking it. Sentence 2: A woman is riding on an elephant.", "output": "1 - probably not" }, "332": { "input": "Sentence 1: A man is assembling speaker parts. Sentence 2: A man is playing the guitar.", "output": "1 - probably not" }, "333": { "input": "Sentence 1: The dog walked along the edge of the pool. Sentence 2: A dog is walking along a pool.", "output": "5 - perfectly" }, "334": { "input": "Sentence 1: Butter is being put into a bowl. Sentence 2: A man cutting butter into a mixing bowl.", "output": "4 - almost perfectly" }, "335": { "input": "Sentence 1: Raccoons are eating. Sentence 2: A man is eating.", "output": "2 - possibly" }, "336": { "input": "Sentence 1: Someone fell off a horse. Sentence 2: A man gets knocked off of a horse.", "output": "4 - almost perfectly" }, "337": { "input": "Sentence 1: A woman peels an apple. Sentence 2: A man pops wheelies on a motorcycle.", "output": "0 - definitely not" }, "338": { "input": "Sentence 1: A man is taking some math classes. Sentence 2: A man is rinsing a steak.", "output": "0 - definitely not" }, "339": { "input": "Sentence 1: Animals are playing in water. Sentence 2: Two men are playing ping pong.", "output": "0 - definitely not" }, "340": { "input": "Sentence 1: A man is riding a horse and jumping over obstacles. Sentence 2: A man is kicking a soccer ball.", "output": "0 - definitely not" }, "341": { "input": "Sentence 1: A person is doing pencil tricks with his hand. Sentence 2: A person is slicing carrots in half.", "output": "0 - definitely not" }, "342": { "input": "Sentence 1: The person lit the cameras on fire. Sentence 2: A person is blow torching cameras.", "output": "3 - probably" }, "343": { "input": "Sentence 1: The man is slicing the tape from the box. Sentence 2: A man is cutting open a box.", "output": "4 - almost perfectly" }, "344": { "input": "Sentence 1: A man is fishing in the river. Sentence 2: A man is singing while walking down the sidewalk.", "output": "1 - probably not" }, "345": { "input": "Sentence 1: A man is riding a bike. Sentence 2: A woman is dancing in the street.", "output": "0 - definitely not" }, "346": { "input": "Sentence 1: A man is doing push-ups. Sentence 2: A woman is cutting some octopus.", "output": "0 - definitely not" }, "347": { "input": "Sentence 1: A man is playing guitar. Sentence 2: A woman is slicing up some pork.", "output": "0 - definitely not" }, "348": { "input": "Sentence 1: The little boy is singing and playing the guitar. Sentence 2: A baby is playing a guitar.", "output": "3 - probably" }, "349": { "input": "Sentence 1: A woman is powdering her face. Sentence 2: The woman is tapping her fingers on the table.", "output": "1 - probably not" }, "350": { "input": "Sentence 1: A woman is peeling a potato. Sentence 2: A lion is walking around.", "output": "0 - definitely not" }, "351": { "input": "Sentence 1: A woman is firing a rifle. Sentence 2: A man is performing stunts.", "output": "0 - definitely not" }, "352": { "input": "Sentence 1: A woman puts a garland over a man's shoulders. Sentence 2: A man pours water over a pilots head.", "output": "0 - definitely not" }, "353": { "input": "Sentence 1: An old woman is shaking hand with a man. Sentence 2: A man and a woman shake hands.", "output": "4 - almost perfectly" }, "354": { "input": "Sentence 1: The woman is waterskiing. Sentence 2: A woman is wake boarding on a lake.", "output": "2 - possibly" }, "355": { "input": "Sentence 1: Trees are bending in storm. Sentence 2: Trees are hit by very hard winds.", "output": "3 - probably" }, "356": { "input": "Sentence 1: A man and woman is riding in a car. Sentence 2: A woman is frying shrimp.", "output": "0 - definitely not" }, "357": { "input": "Sentence 1: A man is moving a tree limb. Sentence 2: The woman is playing the violin.", "output": "0 - definitely not" }, "358": { "input": "Sentence 1: A man plays a piano. Sentence 2: A woman is playing the violin.", "output": "1 - probably not" }, "359": { "input": "Sentence 1: A person pours oil on a skillet. Sentence 2: A person is dicing an onion.", "output": "1 - probably not" }, "360": { "input": "Sentence 1: The animal is eating. Sentence 2: A woman is dancing.", "output": "0 - definitely not" }, "361": { "input": "Sentence 1: The woman is walking her dog. Sentence 2: A woman walks her dog down the street.", "output": "4 - almost perfectly" }, "362": { "input": "Sentence 1: A group of people sing. Sentence 2: Some people are singing.", "output": "5 - perfectly" }, "363": { "input": "Sentence 1: The cat is drinking milk. Sentence 2: A cat is licking from a saucer of milk.", "output": "4 - almost perfectly" }, "364": { "input": "Sentence 1: A girl is making eyelid. Sentence 2: A woman is applying eyeshadow.", "output": "2 - possibly" }, "365": { "input": "Sentence 1: Two men are fighting. Sentence 2: Two men are fighting using a form of martial arts.", "output": "3 - probably" }, "366": { "input": "Sentence 1: The military officer barked at the recruits. Sentence 2: An officer is talking to recruits.", "output": "2 - possibly" }, "367": { "input": "Sentence 1: The man is putting chicken into the container. Sentence 2: A man is putting foods in a box.", "output": "2 - possibly" }, "368": { "input": "Sentence 1: A man is tying on a stenographers machine. Sentence 2: the man used a stenograph.", "output": "2 - possibly" }, "369": { "input": "Sentence 1: A woman is adding pasta to a pot of water. Sentence 2: A woman is making noodles.", "output": "4 - almost perfectly" }, "370": { "input": "Sentence 1: Two puppies are playing with each other. Sentence 2: Some men are playing soccer.", "output": "0 - definitely not" }, "371": { "input": "Sentence 1: A man is running on a field. Sentence 2: A man climbs up a rope.", "output": "1 - probably not" }, "372": { "input": "Sentence 1: A man is hugging someone. Sentence 2: A man is taking a picture.", "output": "0 - definitely not" }, "373": { "input": "Sentence 1: Someone is pouring ingrediants into a pot. Sentence 2: A man puts vegetables into a pot.", "output": "3 - probably" }, "374": { "input": "Sentence 1: A couple are walking. Sentence 2: Some men are sawing.", "output": "0 - definitely not" }, "375": { "input": "Sentence 1: A person is playing a guitar. Sentence 2: The man played his guitar.", "output": "3 - probably" }, "376": { "input": "Sentence 1: A person is adding food in a pan. Sentence 2: A woman puts rice into a pan.", "output": "3 - probably" }, "377": { "input": "Sentence 1: A group of penguins is walking. Sentence 2: A large amount of penguins are heading to the ocean.", "output": "3 - probably" }, "378": { "input": "Sentence 1: A man is playing a guitar. Sentence 2: Someone is handling a bun.", "output": "0 - definitely not" }, "379": { "input": "Sentence 1: A dog is jumping on a trampoline. Sentence 2: A boy is playing a guitar.", "output": "0 - definitely not" }, "380": { "input": "Sentence 1: A man is shaking a container over a kitchen sink. Sentence 2: A man is emptying a plastic container.", "output": "2 - possibly" }, "381": { "input": "Sentence 1: A man is walking with a horse. Sentence 2: A man is leading a horse around by it's halter.", "output": "4 - almost perfectly" }, "382": { "input": "Sentence 1: Paper is being cut with scissors. Sentence 2: A piece of paper is being cut.", "output": "4 - almost perfectly" }, "383": { "input": "Sentence 1: A person peels shrimp. Sentence 2: The lady peeled the shrimp.", "output": "4 - almost perfectly" }, "384": { "input": "Sentence 1: A man is playing a guitar. Sentence 2: A man tries to read the paper.", "output": "1 - probably not" }, "385": { "input": "Sentence 1: A man making a bed in a hotel. Sentence 2: A man is holding a animal.", "output": "1 - probably not" }, "386": { "input": "Sentence 1: The dog pulled the dogs tail and then his leg. Sentence 2: A monkey pulled a dogs tail.", "output": "2 - possibly" }, "387": { "input": "Sentence 1: A woman beats two eggs in a bowl. Sentence 2: A person is mixing ingredients in a bowl.", "output": "3 - probably" }, "388": { "input": "Sentence 1: A man is jumping rope outside. Sentence 2: A woman is slicing a cucumber.", "output": "0 - definitely not" }, "389": { "input": "Sentence 1: A person is slicing some onions. Sentence 2: A hamster is singing.", "output": "0 - definitely not" }, "390": { "input": "Sentence 1: A woman holds a kangaroo. Sentence 2: A man in a hat sings a song.", "output": "0 - definitely not" }, "391": { "input": "Sentence 1: Soccer players are kicking a soccer ball into the goal. Sentence 2: A soccer player scores a goal.", "output": "4 - almost perfectly" }, "392": { "input": "Sentence 1: A woman is cooking something. Sentence 2: A woman is pouring ingredients into a frying pan.", "output": "3 - probably" }, "393": { "input": "Sentence 1: A woman is swimming in the beach. Sentence 2: A woman splashes around in the ocean's waves.", "output": "3 - probably" }, "394": { "input": "Sentence 1: A man is carrying another man. Sentence 2: A man sprays another man with water from a hose.", "output": "1 - probably not" }, "395": { "input": "Sentence 1: Someone pours olive oil into a bowl of tomato wedges. Sentence 2: The man poured oil on the tomato slices.", "output": "4 - almost perfectly" }, "396": { "input": "Sentence 1: A man is playing the guitar. Sentence 2: The man played his guitar with a friend.", "output": "3 - probably" }, "397": { "input": "Sentence 1: Someone is boiling okra in a pot. Sentence 2: Someone pours olive oil into a bowl of tomato wedges.", "output": "1 - probably not" }, "398": { "input": "Sentence 1: A person is peeling a potato. Sentence 2: A cat is licking a small bottle.", "output": "0 - definitely not" }, "399": { "input": "Sentence 1: A cat is jumping into a box. Sentence 2: A young man is talking to a leaf.", "output": "0 - definitely not" }, "400": { "input": "Sentence 1: The woman is seasoning the oil. Sentence 2: A woman is pouring ingredients in a bowl.", "output": "1 - probably not" }, "401": { "input": "Sentence 1: A woman dances while a man plays the keyboard. Sentence 2: A woman is dancing on a stage.", "output": "2 - possibly" }, "402": { "input": "Sentence 1: A chef is cleaning up a bowl of soup. Sentence 2: A man is wiping the edge of a bowl off.", "output": "3 - probably" }, "403": { "input": "Sentence 1: An explosion is booming in the desert. Sentence 2: A nuclear weapon explodes in a desert.", "output": "3 - probably" }, "404": { "input": "Sentence 1: A woman slices a lemon. Sentence 2: A man is talking into a microphone.", "output": "0 - definitely not" }, "405": { "input": "Sentence 1: An overweight man is skipping rope. Sentence 2: A young man is dancing.", "output": "1 - probably not" }, "406": { "input": "Sentence 1: The lady cracked two raw eggs. Sentence 2: The woman is cracking eggs into a bowl.", "output": "3 - probably" }, "407": { "input": "Sentence 1: A man sharpens a pencil using a knife. Sentence 2: A woman is dancing in the rain.", "output": "0 - definitely not" }, "408": { "input": "Sentence 1: Plastic toys are floating in water. Sentence 2: The ladies are performing a dance.", "output": "0 - definitely not" }, "409": { "input": "Sentence 1: The turtle followed the fish. Sentence 2: A sea turtle is hunting for fish.", "output": "3 - probably" }, "410": { "input": "Sentence 1: The woman is pencilling on eye shadow. Sentence 2: The girl is using an eye pencil on her eyelid.", "output": "3 - probably" }, "411": { "input": "Sentence 1: A man is tying his shoe. Sentence 2: A dog is riding on a bicyclists shoulders.", "output": "0 - definitely not" }, "412": { "input": "Sentence 1: A woman is slicing meat with a knife. Sentence 2: A man is spreading out dough.", "output": "0 - definitely not" }, "413": { "input": "Sentence 1: A dog is running on the ground. Sentence 2: A girl is tapping her finger nails.", "output": "0 - definitely not" }, "414": { "input": "Sentence 1: A man is petting a tied up dog. Sentence 2: A man is showing his dog to the camera.", "output": "1 - probably not" }, "415": { "input": "Sentence 1: A woman is mincing some garlic. Sentence 2: A person is cleaning a disk.", "output": "0 - definitely not" }, "416": { "input": "Sentence 1: Two teams are playing soccer. Sentence 2: Different sets of teams are playing football on a field.", "output": "2 - possibly" }, "417": { "input": "Sentence 1: A rat like creature is smelling around. Sentence 2: An animal is walking on the ground.", "output": "2 - possibly" }, "418": { "input": "Sentence 1: Two Sumo ringers are fighting each other. Sentence 2: A man rides a water toy in the water.", "output": "0 - definitely not" }, "419": { "input": "Sentence 1: A man lays on the ground and aims a rifle. Sentence 2: A man is spreading butter on a tortilla.", "output": "0 - definitely not" }, "420": { "input": "Sentence 1: A couple are running towards the ocean. Sentence 2: A man and and woman are running together, holding hands.", "output": "3 - probably" }, "421": { "input": "Sentence 1: A woman is chopping a hard egg. Sentence 2: A person is cutting boiled egg into pieces.", "output": "4 - almost perfectly" }, "422": { "input": "Sentence 1: Two robots share a kiss. Sentence 2: A male and female robot are kissing.", "output": "4 - almost perfectly" }, "423": { "input": "Sentence 1: A cat is trying to touch a dog. Sentence 2: The cat teased the dog by touching his head.", "output": "3 - probably" }, "424": { "input": "Sentence 1: The rhino grazed on the grass. Sentence 2: A rhino is grazing in a field.", "output": "4 - almost perfectly" }, "425": { "input": "Sentence 1: The man drove his little red car around the traffic. Sentence 2: The dog ran in the water at the beach.", "output": "0 - definitely not" }, "426": { "input": "Sentence 1: A man is cutting bread. Sentence 2: A man is doing tricks with a soccer ball.", "output": "1 - probably not" }, "427": { "input": "Sentence 1: A cat rapidly swats a kid in the head. Sentence 2: A cat and a boy play together.", "output": "3 - probably" }, "428": { "input": "Sentence 1: A cat is playing in a box. Sentence 2: The dog is playing with the floor cleaner.", "output": "1 - probably not" }, "429": { "input": "Sentence 1: The couple danced in the church. Sentence 2: A couple slow dances.", "output": "3 - probably" }, "430": { "input": "Sentence 1: A person checks some rice pudding. Sentence 2: A horse is running.", "output": "0 - definitely not" }, "431": { "input": "Sentence 1: A woman is stirring two eggs in a glass bowl. Sentence 2: A young girl is singing on a stage.", "output": "0 - definitely not" }, "432": { "input": "Sentence 1: The man is playing the drums. Sentence 2: A man pours cleaner in his sink.", "output": "0 - definitely not" }, "433": { "input": "Sentence 1: A man is slicing a pepper. Sentence 2: A person cuts a big green pepper apart.", "output": "4 - almost perfectly" }, "434": { "input": "Sentence 1: A woman is speaking in sign language. Sentence 2: A woman spices some seafood.", "output": "1 - probably not" }, "435": { "input": "Sentence 1: A boy is crawling into a dog house. Sentence 2: A cat is playing on the floor.", "output": "0 - definitely not" }, "436": { "input": "Sentence 1: A small monkey walks through water. Sentence 2: A monkey is wading across a marsh.", "output": "3 - probably" }, "437": { "input": "Sentence 1: A man is riding a bike. Sentence 2: A panda bear is eating.", "output": "0 - definitely not" }, "438": { "input": "Sentence 1: A young man is singing and playing the piano. Sentence 2: The man is writing a letter.", "output": "0 - definitely not" }, "439": { "input": "Sentence 1: A boy takes off his sunglasses. Sentence 2: A boy is screaming.", "output": "0 - definitely not" }, "440": { "input": "Sentence 1: A girl is playing a piano. Sentence 2: A boy is doing push ups.", "output": "0 - definitely not" }, "441": { "input": "Sentence 1: The lady sliced a tomatoe. Sentence 2: Someone is cutting a tomato.", "output": "4 - almost perfectly" }, "442": { "input": "Sentence 1: Someone is holding a hedgehog. Sentence 2: A onion is being sliced.", "output": "0 - definitely not" }, "443": { "input": "Sentence 1: A woman peels a potato. Sentence 2: A woman is grilling pineapples.", "output": "1 - probably not" }, "444": { "input": "Sentence 1: A cat is drinking some water. Sentence 2: A truck is going down a hill.", "output": "0 - definitely not" }, "445": { "input": "Sentence 1: A woman is dicing a potato. Sentence 2: A woman cuts tofu into tiny pieces.", "output": "2 - possibly" }, "446": { "input": "Sentence 1: A baby is crawling happily. Sentence 2: A baby sneezed and scared another baby.", "output": "1 - probably not" }, "447": { "input": "Sentence 1: A person is frying a meat in the pan. Sentence 2: A man is cutting a vegetable.", "output": "1 - probably not" }, "448": { "input": "Sentence 1: A man is looking out of a window. Sentence 2: A woman is swimming in the water.", "output": "0 - definitely not" }, "449": { "input": "Sentence 1: A woman is slicing an onion with a knife. Sentence 2: A man is preparing some dish.", "output": "1 - probably not" }, "450": { "input": "Sentence 1: A rider is running and jumping her horse. Sentence 2: A woman jumps hurdles on a horse.", "output": "4 - almost perfectly" }, "451": { "input": "Sentence 1: Two men are fighting. Sentence 2: The man is exercising.", "output": "1 - probably not" }, "452": { "input": "Sentence 1: A person is petting a monkey. Sentence 2: A man is holding a slow loris.", "output": "1 - probably not" }, "453": { "input": "Sentence 1: Two cartoon rabbits are kissing. Sentence 2: A rabbit is kissing another rabbit.", "output": "4 - almost perfectly" }, "454": { "input": "Sentence 1: The hedgehog chewed on the towel. Sentence 2: A hedgehog is biting at a blanket.", "output": "3 - probably" }, "455": { "input": "Sentence 1: A man is smoking. Sentence 2: The man sat in his suit and smoked.", "output": "4 - almost perfectly" }, "456": { "input": "Sentence 1: A woman is adding sauce to some food. Sentence 2: A person is cutting leaves.", "output": "0 - definitely not" }, "457": { "input": "Sentence 1: Three children are eating their food. Sentence 2: The deer jumped over the fence.", "output": "0 - definitely not" }, "458": { "input": "Sentence 1: A submarine is going through water. Sentence 2: A baby is falling asleep.", "output": "0 - definitely not" }, "459": { "input": "Sentence 1: A man is running on a street. Sentence 2: A man plays the guitar.", "output": "1 - probably not" }, "460": { "input": "Sentence 1: A person is slicing an onion. Sentence 2: A cat is pooping into a toilet.", "output": "0 - definitely not" }, "461": { "input": "Sentence 1: A badger is digging in the dirt. Sentence 2: A man is moving large rocks.", "output": "0 - definitely not" }, "462": { "input": "Sentence 1: A woman is slicing big pepper. Sentence 2: A dog is moving its mouth.", "output": "0 - definitely not" }, "463": { "input": "Sentence 1: A man is riding a bicycle. Sentence 2: A man is riding a bike.", "output": "5 - perfectly" }, "464": { "input": "Sentence 1: A man and a woman are kissing each other. Sentence 2: A man and a woman are talking to each other.", "output": "1 - probably not" }, "465": { "input": "Sentence 1: A woman is slicing an onion. Sentence 2: A woman is cutting an onion.", "output": "4 - almost perfectly" }, "466": { "input": "Sentence 1: A small boy is playing with a dog. Sentence 2: A baby is playing with a dog.", "output": "4 - almost perfectly" }, "467": { "input": "Sentence 1: The man is drawing. Sentence 2: A man is drawing.", "output": "5 - perfectly" }, "468": { "input": "Sentence 1: A man is cutting a potato. Sentence 2: A woman is cutting a tomato.", "output": "1 - probably not" }, "469": { "input": "Sentence 1: A boy is playing a guitar. Sentence 2: A kid is playing a guitar.", "output": "4 - almost perfectly" }, "470": { "input": "Sentence 1: A woman is cutting an onion. Sentence 2: A woman is cutting through an onion.", "output": "5 - perfectly" }, "471": { "input": "Sentence 1: A toy train is striking a toy car. Sentence 2: A toy train strikes a toy car.", "output": "5 - perfectly" }, "472": { "input": "Sentence 1: A man is playing the guitar. Sentence 2: A man is playing the flute.", "output": "2 - possibly" }, "473": { "input": "Sentence 1: A cat opens a drawer and climbs inside. Sentence 2: A cat is opening a drawer and climbing inside.", "output": "5 - perfectly" }, "474": { "input": "Sentence 1: A woman is frying a food. Sentence 2: A woman is deep frying food.", "output": "4 - almost perfectly" }, "475": { "input": "Sentence 1: A man is dicing an onion. Sentence 2: A woman is cutting an onion.", "output": "2 - possibly" }, "476": { "input": "Sentence 1: A girl is playing a guitar. Sentence 2: A man is playing a guitar.", "output": "3 - probably" }, "477": { "input": "Sentence 1: A girl is singing on stage. Sentence 2: A man is singing on stage.", "output": "3 - probably" }, "478": { "input": "Sentence 1: A woman is riding a horse. Sentence 2: A woman is riding a donkey.", "output": "3 - probably" }, "479": { "input": "Sentence 1: A girl is playing a guitar. Sentence 2: A man is playing a guitar.", "output": "3 - probably" }, "480": { "input": "Sentence 1: A woman is brushing some shrimp. Sentence 2: A woman brushes some shrimp.", "output": "5 - perfectly" }, "481": { "input": "Sentence 1: A man is dancing on the ceiling. Sentence 2: A man is dancing on the ceiling of a room.", "output": "5 - perfectly" }, "482": { "input": "Sentence 1: A woman thinly slices an onion with a large knife. Sentence 2: A woman is slicing onions with a large knife.", "output": "4 - almost perfectly" }, "483": { "input": "Sentence 1: A man is playing a keyboard. Sentence 2: A man plays a keyboard.", "output": "5 - perfectly" }, "484": { "input": "Sentence 1: A man plays the guitar. Sentence 2: A man is playing the guitar.", "output": "5 - perfectly" }, "485": { "input": "Sentence 1: A woman is peeling a potato. Sentence 2: A woman peels a potato.", "output": "5 - perfectly" }, "486": { "input": "Sentence 1: A woman is handling a frog. Sentence 2: A man is holding a frog.", "output": "4 - almost perfectly" }, "487": { "input": "Sentence 1: A man is playing a flute. Sentence 2: A man is playing a guitar.", "output": "2 - possibly" }, "488": { "input": "Sentence 1: A man is playing a guitar. Sentence 2: A man is playing a flute.", "output": "2 - possibly" }, "489": { "input": "Sentence 1: A man is playing a piano. Sentence 2: A man is playing a guitar.", "output": "2 - possibly" }, "490": { "input": "Sentence 1: A man is playing a guitar. Sentence 2: A man is playing a piano.", "output": "2 - possibly" }, "491": { "input": "Sentence 1: A man is playing a flute. Sentence 2: A man is playing a guitar.", "output": "2 - possibly" }, "492": { "input": "Sentence 1: A man is playing a flute. Sentence 2: A man is playing a guitar.", "output": "2 - possibly" }, "493": { "input": "Sentence 1: Two women are on a couch. Sentence 2: Two women are hugging on a couch.", "output": "3 - probably" }, "494": { "input": "Sentence 1: Someone is slicing a cucumber. Sentence 2: A man is slicing a cucumber.", "output": "4 - almost perfectly" }, "495": { "input": "Sentence 1: A kitten is playing with a blue rope toy. Sentence 2: A kitten is playing with a toy.", "output": "4 - almost perfectly" }, "496": { "input": "Sentence 1: The dog is barking at the toy. Sentence 2: A dog is barking at a toy.", "output": "5 - perfectly" }, "497": { "input": "Sentence 1: A person folds a tortilla. Sentence 2: A man folds a tortilla.", "output": "4 - almost perfectly" }, "498": { "input": "Sentence 1: A cat is drinking milk. Sentence 2: A kitten is drinking milk.", "output": "4 - almost perfectly" }, "499": { "input": "Sentence 1: A person is driving a car. Sentence 2: A man is driving a car.", "output": "4 - almost perfectly" }, "500": { "input": "Sentence 1: A turtle is walking. Sentence 2: A tortoise is walking.", "output": "4 - almost perfectly" }, "501": { "input": "Sentence 1: A cow is eating grass. Sentence 2: A cow is eating hay.", "output": "4 - almost perfectly" }, "502": { "input": "Sentence 1: A woman is chopping broccoli. Sentence 2: A woman is chopping garlic.", "output": "3 - probably" }, "503": { "input": "Sentence 1: A man is crying. Sentence 2: A man is screaming.", "output": "3 - probably" }, "504": { "input": "Sentence 1: The man is playing the guitar. Sentence 2: A man is playing guitar.", "output": "5 - perfectly" }, "505": { "input": "Sentence 1: A man is cutting an onion. Sentence 2: A man is cutting a plantain.", "output": "4 - almost perfectly" }, "506": { "input": "Sentence 1: A man is slicing a potato. Sentence 2: A woman is peeling a potato.", "output": "2 - possibly" }, "507": { "input": "Sentence 1: A woman is tapping her fingers on a table. Sentence 2: A woman is tapping her fingers.", "output": "4 - almost perfectly" }, "508": { "input": "Sentence 1: Someone is boiling okra in a pot. Sentence 2: Someone is cooking okra in a pan.", "output": "4 - almost perfectly" }, "509": { "input": "Sentence 1: A man is smoking. Sentence 2: A man is mixing.", "output": "0 - definitely not" }, "510": { "input": "Sentence 1: The man is playing the drums. Sentence 2: A man is playing drums.", "output": "5 - perfectly" }, "511": { "input": "Sentence 1: A man dives into a pool. Sentence 2: A man is diving into a pool.", "output": "5 - perfectly" }, "512": { "input": "Sentence 1: A woman is cutting a leak. Sentence 2: A woman is slicing a leek.", "output": "4 - almost perfectly" }, "513": { "input": "Sentence 1: A little boy is playing a guitar. Sentence 2: A boy is playing guitar.", "output": "5 - perfectly" }, "514": { "input": "Sentence 1: A woman is dancing. Sentence 2: The man is dancing.", "output": "3 - probably" }, "515": { "input": "Sentence 1: Women are talking. Sentence 2: The men are talking.", "output": "3 - probably" }, "516": { "input": "Sentence 1: A girl is putting gel in her hair. Sentence 2: A woman is putting gel on her hair.", "output": "3 - probably" }, "517": { "input": "Sentence 1: A kid is playing guitar. Sentence 2: A man is playing a guitar.", "output": "2 - possibly" }, "518": { "input": "Sentence 1: A group of people are marching in place. Sentence 2: A group of people are dancing in concert.", "output": "2 - possibly" }, "519": { "input": "Sentence 1: The woman is shooting a machine gun. Sentence 2: The man is shooting a gun.", "output": "2 - possibly" }, "520": { "input": "Sentence 1: A man played the piano. Sentence 2: A man plays a piano.", "output": "4 - almost perfectly" }, "521": { "input": "Sentence 1: A woman is slicing an onion. Sentence 2: Someone is slicing a onion.", "output": "3 - probably" }, "522": { "input": "Sentence 1: A man is slicing a cucumber. Sentence 2: A man is cutting cucumbers.", "output": "4 - almost perfectly" }, "523": { "input": "Sentence 1: A girl is eating a cupcake. Sentence 2: A woman is eating a cupcake.", "output": "3 - probably" }, "524": { "input": "Sentence 1: A woman is cutting an onion. Sentence 2: A man is chopping an onion.", "output": "2 - possibly" }, "525": { "input": "Sentence 1: The man is playing a guitar. Sentence 2: A baby is playing a guitar.", "output": "2 - possibly" }, "526": { "input": "Sentence 1: A man is playing the guitar. Sentence 2: A man is playing the drums.", "output": "2 - possibly" }, "527": { "input": "Sentence 1: Two little girls talk on the telephone. Sentence 2: Two girls talk on the phone.", "output": "4 - almost perfectly" }, "528": { "input": "Sentence 1: A man is chopping a log with an axe. Sentence 2: A man is chopping a tree trunk with an axe.", "output": "4 - almost perfectly" }, "529": { "input": "Sentence 1: A person is cutting a capsicum into pieces. Sentence 2: A person is slicing a garlic into pieces.", "output": "2 - possibly" }, "530": { "input": "Sentence 1: A man is talking with a woman. Sentence 2: A woman is walking with a dog.", "output": "0 - definitely not" }, "531": { "input": "Sentence 1: The man is walking. Sentence 2: A man is talking.", "output": "1 - probably not" }, "532": { "input": "Sentence 1: Someone is pouring oil into a skillet. Sentence 2: Someone is pouring milk into a blender.", "output": "2 - possibly" }, "533": { "input": "Sentence 1: A small kitten is playing a ball. Sentence 2: A kitten is playing with a ball.", "output": "4 - almost perfectly" }, "534": { "input": "Sentence 1: A man is playing a guitar. Sentence 2: A woman is playing a flute.", "output": "2 - possibly" }, "535": { "input": "Sentence 1: A girl is playing a violin. Sentence 2: A girl is playing a flute.", "output": "3 - probably" }, "536": { "input": "Sentence 1: A man is playing two pianos. Sentence 2: A cat is playing a piano.", "output": "2 - possibly" }, "537": { "input": "Sentence 1: A man is exercising. Sentence 2: A girl is exercising.", "output": "3 - probably" }, "538": { "input": "Sentence 1: A person is slicing a scallop. Sentence 2: A person is slicing octopus.", "output": "2 - possibly" }, "539": { "input": "Sentence 1: A man and a woman are riding on their bicycles. Sentence 2: A man and woman are riding a motorcycle.", "output": "2 - possibly" }, "540": { "input": "Sentence 1: Two men are fighting in a cow pasture. Sentence 2: Two men are fighting in a cattle pen.", "output": "4 - almost perfectly" }, "541": { "input": "Sentence 1: A woman is adding oil to a pan. Sentence 2: A man is pouring oil into a pan.", "output": "3 - probably" }, "542": { "input": "Sentence 1: A girl makes up her bed. Sentence 2: A young girl makes her bed.", "output": "4 - almost perfectly" }, "543": { "input": "Sentence 1: The cat played with a watermelon. Sentence 2: A cat is playing with a watermelon.", "output": "5 - perfectly" }, "544": { "input": "Sentence 1: A girl jumps on a car. Sentence 2: A girl is jumping onto a car.", "output": "5 - perfectly" }, "545": { "input": "Sentence 1: A man is praying. Sentence 2: A man is running.", "output": "1 - probably not" }, "546": { "input": "Sentence 1: A car is parking. Sentence 2: A cat is playing.", "output": "0 - definitely not" }, "547": { "input": "Sentence 1: A man is running. Sentence 2: A man is dancing.", "output": "1 - probably not" }, "548": { "input": "Sentence 1: A man is singing. Sentence 2: A man is dancing.", "output": "0 - definitely not" }, "549": { "input": "Sentence 1: A man is carrying another man over his shoulder. Sentence 2: A man is carrying someone on his shoulder.", "output": "3 - probably" }, "550": { "input": "Sentence 1: A woman is peeling a potato. Sentence 2: A woman is slicing a tomato.", "output": "1 - probably not" }, "551": { "input": "Sentence 1: A woman is cutting a tomato. Sentence 2: A woman is slicing a potato.", "output": "1 - probably not" }, "552": { "input": "Sentence 1: Someone is peeling a potato. Sentence 2: Someone is slicing a tomato.", "output": "1 - probably not" }, "553": { "input": "Sentence 1: A woman is peeling a potato. Sentence 2: A woman is slicing a tomato.", "output": "1 - probably not" }, "554": { "input": "Sentence 1: Two robots kiss. Sentence 2: Two robots are kissing.", "output": "5 - perfectly" }, "555": { "input": "Sentence 1: Two boys on a couch are playing video games. Sentence 2: Two boys are playing a video game.", "output": "4 - almost perfectly" }, "556": { "input": "Sentence 1: A woman is squeezing a lemon. Sentence 2: A woman is squeezing juice out of a lemon.", "output": "4 - almost perfectly" }, "557": { "input": "Sentence 1: A woman is slicing an onion. Sentence 2: A man is slicing a tomato.", "output": "1 - probably not" }, "558": { "input": "Sentence 1: A woman is slicing a carrot. Sentence 2: A man is slicing a tomato.", "output": "1 - probably not" }, "559": { "input": "Sentence 1: A girl is styling her hair. Sentence 2: A girl is filing her nails.", "output": "1 - probably not" }, "560": { "input": "Sentence 1: A man walking down the stairs. Sentence 2: A man walks down a staircase.", "output": "5 - perfectly" }, "561": { "input": "Sentence 1: Two people are riding a motorcycle. Sentence 2: Two people are riding a bike.", "output": "2 - possibly" }, "562": { "input": "Sentence 1: A man is playing a guitar. Sentence 2: A woman is playing an electric guitar.", "output": "2 - possibly" }, "563": { "input": "Sentence 1: A man is playing a guitar and singing. Sentence 2: A man is playing a guitar.", "output": "3 - probably" }, "564": { "input": "Sentence 1: A man is walking in the rain. Sentence 2: A man and woman is walking in the grand.", "output": "2 - possibly" }, "565": { "input": "Sentence 1: A kangaroo is eating. Sentence 2: Kangaroo eating.", "output": "5 - perfectly" }, "566": { "input": "Sentence 1: A man is fishing. Sentence 2: A man is exercising.", "output": "0 - definitely not" }, "567": { "input": "Sentence 1: A woman is swimming. Sentence 2: A man is singing.", "output": "0 - definitely not" }, "568": { "input": "Sentence 1: A Woman is eating. Sentence 2: A animal is eating.", "output": "2 - possibly" }, "569": { "input": "Sentence 1: A boy and a girl is dancing in the rain. Sentence 2: A man and woman is dancing in the rain.", "output": "3 - probably" }, "570": { "input": "Sentence 1: A man is driving a car. Sentence 2: A man drives a car.", "output": "5 - perfectly" }, "571": { "input": "Sentence 1: A woman is grating onion. Sentence 2: A woman grates onions.", "output": "5 - perfectly" }, "572": { "input": "Sentence 1: Two roosters are fighting. Sentence 2: Two men are fighting.", "output": "2 - possibly" }, "573": { "input": "Sentence 1: A man is riding a horse. Sentence 2: A man is driving a car.", "output": "1 - probably not" }, "574": { "input": "Sentence 1: A man is riding a horse. Sentence 2: A man is driving a car.", "output": "1 - probably not" }, "575": { "input": "Sentence 1: A man is shooting a gun. Sentence 2: A man is slicing a bun.", "output": "1 - probably not" }, "576": { "input": "Sentence 1: A woman is cutting an onion. Sentence 2: A woman is cutting meat.", "output": "2 - possibly" }, "577": { "input": "Sentence 1: The woman is slicing herbs. Sentence 2: The man is slicing bread.", "output": "2 - possibly" }, "578": { "input": "Sentence 1: A boy is playing the piano. Sentence 2: A man is playing a piano.", "output": "3 - probably" }, "579": { "input": "Sentence 1: A baby elephant is eating. Sentence 2: A baby elephant eats a sapling.", "output": "4 - almost perfectly" }, "580": { "input": "Sentence 1: A woman is cracking eggs into a bowl. Sentence 2: A woman is cracking eggs.", "output": "4 - almost perfectly" }, "581": { "input": "Sentence 1: A person is playing the keyboard. Sentence 2: A boy is playing a key-board.", "output": "4 - almost perfectly" }, "582": { "input": "Sentence 1: A boy whacks a man with a sword. Sentence 2: A boy spanks a man with a plastic sword.", "output": "3 - probably" }, "583": { "input": "Sentence 1: A person is slicing a carrot into pieces. Sentence 2: A person is cutting an onion into pieces.", "output": "2 - possibly" }, "584": { "input": "Sentence 1: A man is writing in a book. Sentence 2: A man is writing on a paper.", "output": "3 - probably" }, "585": { "input": "Sentence 1: A woman is slicing a garlic. Sentence 2: A woman is slicing a big pepper.", "output": "2 - possibly" }, "586": { "input": "Sentence 1: A person is making a bed. Sentence 2: A person is eating at a table.", "output": "0 - definitely not" }, "587": { "input": "Sentence 1: A man is playing keyboard. Sentence 2: A man is playing guitar.", "output": "2 - possibly" }, "588": { "input": "Sentence 1: A man is playing a violin. Sentence 2: A man is playing a harp.", "output": "2 - possibly" }, "589": { "input": "Sentence 1: The woman is smoking. Sentence 2: The man is walking.", "output": "0 - definitely not" }, "590": { "input": "Sentence 1: A man is riding a motorcycle. Sentence 2: A man is riding a motorcycle through a town.", "output": "4 - almost perfectly" }, "591": { "input": "Sentence 1: A man is riding a motorcycle on the highway. Sentence 2: A man is riding a motorcycle.", "output": "4 - almost perfectly" }, "592": { "input": "Sentence 1: A woman is slicing up some meat. Sentence 2: A woman is slicing some onions.", "output": "2 - possibly" }, "593": { "input": "Sentence 1: A woman cuts up broccoli. Sentence 2: A woman is cutting broccoli.", "output": "5 - perfectly" }, "594": { "input": "Sentence 1: A man is playing a piano. Sentence 2: A woman is peeling a potato.", "output": "0 - definitely not" }, "595": { "input": "Sentence 1: Someone is slicing a tomato. Sentence 2: Someone is slicing fruit.", "output": "3 - probably" }, "596": { "input": "Sentence 1: A woman is dancing in a cage. Sentence 2: A woman is dancing.", "output": "3 - probably" }, "597": { "input": "Sentence 1: A woman is swimming. Sentence 2: A man is spitting.", "output": "0 - definitely not" }, "598": { "input": "Sentence 1: A man is running. Sentence 2: A man is mooing.", "output": "1 - probably not" }, "599": { "input": "Sentence 1: The man is playing the guitar. Sentence 2: The man played his guitar.", "output": "4 - almost perfectly" }, "600": { "input": "Sentence 1: A cat stares into the camera. Sentence 2: A cat addresses the camera.", "output": "3 - probably" }, "601": { "input": "Sentence 1: The baby is laughing and crawling. Sentence 2: A baby is laughing and crawling on the floor.", "output": "4 - almost perfectly" }, "602": { "input": "Sentence 1: A woman is shooting a gun. Sentence 2: A woman shoots a shotgun.", "output": "4 - almost perfectly" }, "603": { "input": "Sentence 1: A woman is dancing in the rain. Sentence 2: A woman is dancing in railway station.", "output": "2 - possibly" }, "604": { "input": "Sentence 1: A woman is dancing. Sentence 2: A woman is exercising.", "output": "1 - probably not" }, "605": { "input": "Sentence 1: A kid is playing an instrument. Sentence 2: A young boy is playing a wind instrument.", "output": "4 - almost perfectly" }, "606": { "input": "Sentence 1: Someone slices a bottle with a sword. Sentence 2: A man breaks a bottle with a sword.", "output": "4 - almost perfectly" }, "607": { "input": "Sentence 1: A woman is cutting an apple. Sentence 2: A woman is cutting potato.", "output": "2 - possibly" }, "608": { "input": "Sentence 1: The man is peeling an apple. Sentence 2: A man peels an apple.", "output": "5 - perfectly" }, "609": { "input": "Sentence 1: The man is playing the guitar. Sentence 2: The man is playing with a skull.", "output": "1 - probably not" }, "610": { "input": "Sentence 1: An animal is walking on the ground. Sentence 2: A solenodon is walking along the ground.", "output": "3 - probably" }, "611": { "input": "Sentence 1: A little girl is playing a grand piano on stage. Sentence 2: A little girl is playing the piano.", "output": "3 - probably" }, "612": { "input": "Sentence 1: a group of people dancing Sentence 2: A group of men are dancing.", "output": "3 - probably" }, "613": { "input": "Sentence 1: A man plays a guitar. Sentence 2: A woman is playing guitar.", "output": "2 - possibly" }, "614": { "input": "Sentence 1: A cat swings on a ceiling fan. Sentence 2: A cat is spun around by a ceiling fan.", "output": "4 - almost perfectly" }, "615": { "input": "Sentence 1: A woman is playing the flute. Sentence 2: A girl is playing a flute.", "output": "4 - almost perfectly" }, "616": { "input": "Sentence 1: The woman is dicing onions. Sentence 2: A woman is cutting an onion.", "output": "4 - almost perfectly" }, "617": { "input": "Sentence 1: A monkey is brushing a bull dog. Sentence 2: A monkey brushes a dog.", "output": "4 - almost perfectly" }, "618": { "input": "Sentence 1: A woman is slicing a onion. Sentence 2: A woman is cutting a potato.", "output": "1 - probably not" }, "619": { "input": "Sentence 1: A man is playing the piano. Sentence 2: A woman is playing a guitar.", "output": "1 - probably not" }, "620": { "input": "Sentence 1: A woman is washing her hands. Sentence 2: A woman is straightening her hair.", "output": "1 - probably not" }, "621": { "input": "Sentence 1: A woman fires a shotgun. Sentence 2: A woman is shooting a gun.", "output": "3 - probably" }, "622": { "input": "Sentence 1: A man is eating a bowl of cereal. Sentence 2: The man is eating cereal.", "output": "4 - almost perfectly" }, "623": { "input": "Sentence 1: A woman is bathing into bath-tub. Sentence 2: A woman is taking a bath.", "output": "4 - almost perfectly" }, "624": { "input": "Sentence 1: A motorcyclist crashes on his motorcycle. Sentence 2: A person crashes on a motorcycle.", "output": "4 - almost perfectly" }, "625": { "input": "Sentence 1: A man is dangling a mouse near a snake. Sentence 2: A man is feeding a mice to a snake.", "output": "3 - probably" }, "626": { "input": "Sentence 1: A man and a woman are walking in the woods. Sentence 2: A man and woman are walking through the jungle.", "output": "3 - probably" }, "627": { "input": "Sentence 1: A person pours some rice pudding into a bowl. Sentence 2: The lady poured the rice pudding into a bowl.", "output": "4 - almost perfectly" }, "628": { "input": "Sentence 1: A man stares out a window. Sentence 2: A man looks out the window.", "output": "5 - perfectly" }, "629": { "input": "Sentence 1: A woman is firing a rifle. Sentence 2: A woman is cutting a lemon.", "output": "0 - definitely not" }, "630": { "input": "Sentence 1: A man is eating a banana. Sentence 2: Someone is peeling a banana.", "output": "2 - possibly" }, "631": { "input": "Sentence 1: The men are performing on stage. Sentence 2: The comedic mimes performed on stage.", "output": "3 - probably" }, "632": { "input": "Sentence 1: A cartoon woman dives into a pool. Sentence 2: A cartoon woman is diving off a board.", "output": "3 - probably" }, "633": { "input": "Sentence 1: The lady put the baby int a trashcan. Sentence 2: A woman puts a baby in a trash can.", "output": "5 - perfectly" }, "634": { "input": "Sentence 1: Someone is frying meat. Sentence 2: Someone is playing paino.", "output": "0 - definitely not" }, "635": { "input": "Sentence 1: A man is rapidly chopping some mushrooms using a knife. Sentence 2: A person is quickly chopping mushrooms with a knife.", "output": "4 - almost perfectly" }, "636": { "input": "Sentence 1: A woman is adding ingredients to a bowl. Sentence 2: A woman is cracking three eggs into a bowl.", "output": "2 - possibly" }, "637": { "input": "Sentence 1: A skateboarder does tricks on a half-pipe. Sentence 2: A man skateboards on a half pipe.", "output": "4 - almost perfectly" }, "638": { "input": "Sentence 1: A man is speaking on a stage. Sentence 2: A man is speaking at a podium.", "output": "3 - probably" }, "639": { "input": "Sentence 1: A man is playing a guitar. Sentence 2: A man in a hat is playing a harp.", "output": "1 - probably not" }, "640": { "input": "Sentence 1: A man is playing on his keyboard. Sentence 2: A man is playing a guitar.", "output": "1 - probably not" }, "641": { "input": "Sentence 1: A person is cutting a potato. Sentence 2: A person is slicing a shallot.", "output": "1 - probably not" }, "642": { "input": "Sentence 1: A man is dancing on the ceiling of a room. Sentence 2: A man is dancing upside-down on the ceiling.", "output": "5 - perfectly" }, "643": { "input": "Sentence 1: Two men are dancing. Sentence 2: Two women are shopping.", "output": "0 - definitely not" }, "644": { "input": "Sentence 1: Someone is seasoning eggs. Sentence 2: Someone is seasoning two raw eggs in a bowl.", "output": "4 - almost perfectly" }, "645": { "input": "Sentence 1: A man is swinging in a rope. Sentence 2: A gibbon is swinging in the trees.", "output": "1 - probably not" }, "646": { "input": "Sentence 1: A man is cutting tomatoes. Sentence 2: A woman is cutting broccoli.", "output": "2 - possibly" }, "647": { "input": "Sentence 1: A woman is boiling shrimp. Sentence 2: A woman is combing her hair.", "output": "1 - probably not" }, "648": { "input": "Sentence 1: A man cuts a potato. Sentence 2: A man is slicing a potato.", "output": "4 - almost perfectly" }, "649": { "input": "Sentence 1: A man is dancing on the road. Sentence 2: A man is dancing.", "output": "3 - probably" }, "650": { "input": "Sentence 1: The deer jumped over the fence. Sentence 2: A deer jumps over a cyclone fence.", "output": "4 - almost perfectly" }, "651": { "input": "Sentence 1: A girl dances in the rain. Sentence 2: A woman is dancing in the rain.", "output": "3 - probably" }, "652": { "input": "Sentence 1: A woman is writing a letter. Sentence 2: A woman is sitting at a desk.", "output": "2 - possibly" }, "653": { "input": "Sentence 1: A gorilla is playing the drums. Sentence 2: A monkey is playing drums.", "output": "3 - probably" }, "654": { "input": "Sentence 1: A woman is riding on a horse. Sentence 2: A woman is picking tomatoes.", "output": "0 - definitely not" }, "655": { "input": "Sentence 1: The boy cut the grass by the curb with scissors. Sentence 2: A boy cuts grass with scissors.", "output": "4 - almost perfectly" }, "656": { "input": "Sentence 1: A man with glasses is talking. Sentence 2: A man in a library is talking.", "output": "3 - probably" }, "657": { "input": "Sentence 1: A woman is cutting some flowers. Sentence 2: A woman is cutting broccoli.", "output": "1 - probably not" }, "658": { "input": "Sentence 1: A person is walking down a stone path. Sentence 2: A man is walking down a sidewalk.", "output": "4 - almost perfectly" }, "659": { "input": "Sentence 1: A man plays the keyboard with his nose. Sentence 2: The man is playing the piano with his nose.", "output": "4 - almost perfectly" }, "660": { "input": "Sentence 1: A man is playing guitar. Sentence 2: A cat is playing.", "output": "0 - definitely not" }, "661": { "input": "Sentence 1: A animal is eating. Sentence 2: The animal is hopping.", "output": "0 - definitely not" }, "662": { "input": "Sentence 1: A man is lifting weights. Sentence 2: A man is lifting a barbell.", "output": "4 - almost perfectly" }, "663": { "input": "Sentence 1: A man is running with a bus. Sentence 2: A man runs with a truck.", "output": "2 - possibly" }, "664": { "input": "Sentence 1: A man is climbing a rope. Sentence 2: A man is sitting on a rock.", "output": "0 - definitely not" }, "665": { "input": "Sentence 1: A cat is playing the piano. Sentence 2: A cat is licking its paw.", "output": "0 - definitely not" }, "666": { "input": "Sentence 1: A woman is dancing in the rain. Sentence 2: A woman is adding oil to a dish.", "output": "0 - definitely not" }, "667": { "input": "Sentence 1: Men are running a race. Sentence 2: Racers are running down a track.", "output": "3 - probably" }, "668": { "input": "Sentence 1: A man is cutting tomatoes into pieces. Sentence 2: A woman is cutting potatoes.", "output": "2 - possibly" }, "669": { "input": "Sentence 1: A man is playing a flute. Sentence 2: A woman is applying eye liner.", "output": "0 - definitely not" }, "670": { "input": "Sentence 1: A woman is cutting potatoes. Sentence 2: A woman is slicing carrots.", "output": "1 - probably not" }, "671": { "input": "Sentence 1: A chicken is pecking at a dead mouse. Sentence 2: A rooster pecks at a dead mouse.", "output": "4 - almost perfectly" }, "672": { "input": "Sentence 1: The woman is thinly slicing a cucumber. Sentence 2: The woman is slicing a tomato.", "output": "1 - probably not" }, "673": { "input": "Sentence 1: A person is slicing a bread pieces. Sentence 2: A man is slicing bread.", "output": "3 - probably" }, "674": { "input": "Sentence 1: A woman is cutting a squash. Sentence 2: A woman is cutting big pepper.", "output": "2 - possibly" }, "675": { "input": "Sentence 1: A woman is adding oil on fishes. Sentence 2: A woman is riding a horse.", "output": "1 - probably not" }, "676": { "input": "Sentence 1: A woman is grating carrots. Sentence 2: A woman is coating a pork chop.", "output": "2 - possibly" }, "677": { "input": "Sentence 1: Someone is cleaning a animal. Sentence 2: A woman is cleaning a shrimp.", "output": "3 - probably" }, "678": { "input": "Sentence 1: A man is talking on the phone. Sentence 2: A man is talking.", "output": "3 - probably" }, "679": { "input": "Sentence 1: A woman is smoking. Sentence 2: A woman is making some food.", "output": "1 - probably not" }, "680": { "input": "Sentence 1: A man laying down and shooting a gun Sentence 2: A man is laying on the ground shooting a rifle.", "output": "4 - almost perfectly" }, "681": { "input": "Sentence 1: A man is being put into an abulance. Sentence 2: A man is pouring pasta onto a plate.", "output": "0 - definitely not" }, "682": { "input": "Sentence 1: A man is diving into a swimming pool. Sentence 2: A man is singing into a microphone.", "output": "1 - probably not" }, "683": { "input": "Sentence 1: A man is firing a shot gun. Sentence 2: A man shoots a shotgun.", "output": "5 - perfectly" }, "684": { "input": "Sentence 1: A man playing the guitar. Sentence 2: A man is playing a flute.", "output": "2 - possibly" }, "685": { "input": "Sentence 1: A man is peeling potato. Sentence 2: A man is playing a guitar.", "output": "0 - definitely not" }, "686": { "input": "Sentence 1: The woman is riding a horse. Sentence 2: A man is riding a horse in an arena.", "output": "2 - possibly" }, "687": { "input": "Sentence 1: An airplane moves along a runway. Sentence 2: A plane is landing on a runway.", "output": "3 - probably" }, "688": { "input": "Sentence 1: A woman is slipping in the water-tub. Sentence 2: A woman is lying in a raft.", "output": "1 - probably not" }, "689": { "input": "Sentence 1: A man is mowing a lawn. Sentence 2: A man is mixing.", "output": "1 - probably not" }, "690": { "input": "Sentence 1: A woman is peeling a potato. Sentence 2: A woman is hitting a man.", "output": "1 - probably not" }, "691": { "input": "Sentence 1: A man is playing piano. Sentence 2: A man is laying on the ground.", "output": "1 - probably not" }, "692": { "input": "Sentence 1: A woman is doing ballet. Sentence 2: A woman is riding on a horse.", "output": "1 - probably not" }, "693": { "input": "Sentence 1: A woman is cutting an onion. Sentence 2: A woman is rowing a boat.", "output": "1 - probably not" }, "694": { "input": "Sentence 1: A woman is stirring rice in a pot. Sentence 2: Someone is putting rice in a pan.", "output": "3 - probably" }, "695": { "input": "Sentence 1: A woman puts slabs of meat in a pan. Sentence 2: A man puts pieces of meat into a plastic bag.", "output": "2 - possibly" }, "696": { "input": "Sentence 1: The boy played his trumpet. Sentence 2: A boy is playing the trumpet.", "output": "4 - almost perfectly" }, "697": { "input": "Sentence 1: A person is riding a horse. Sentence 2: A man is riding a motorcycle.", "output": "2 - possibly" }, "698": { "input": "Sentence 1: A woman is slicing an onion. Sentence 2: A woman is cutting a carrot.", "output": "1 - probably not" }, "699": { "input": "Sentence 1: A man is slicing vegetables. Sentence 2: A woman is slicing a potato.", "output": "2 - possibly" }, "700": { "input": "Sentence 1: A cat is playing. Sentence 2: A woman is playing flute.", "output": "0 - definitely not" }, "701": { "input": "Sentence 1: A man is riding a bicycle. Sentence 2: A man is riding a bicycle around a parking lot.", "output": "3 - probably" }, "702": { "input": "Sentence 1: A band is performing on a stage. Sentence 2: A band is playing and singing on a stage.", "output": "4 - almost perfectly" }, "703": { "input": "Sentence 1: The woman is slicing fish cake. Sentence 2: The woman is riding a horse.", "output": "1 - probably not" }, "704": { "input": "Sentence 1: A man is eating bread. Sentence 2: A man is playing flute.", "output": "1 - probably not" }, "705": { "input": "Sentence 1: A woman is cooking shrimp. Sentence 2: A woman is dancing.", "output": "1 - probably not" }, "706": { "input": "Sentence 1: A woman is dancing. Sentence 2: A woman is slicing ginger.", "output": "0 - definitely not" }, "707": { "input": "Sentence 1: A big turtle is walking. Sentence 2: The tortoise is walking.", "output": "4 - almost perfectly" }, "708": { "input": "Sentence 1: A man is burning a flag. Sentence 2: A man is shooting a gun.", "output": "0 - definitely not" }, "709": { "input": "Sentence 1: The man is pushing the van. Sentence 2: The woman is singing.", "output": "0 - definitely not" }, "710": { "input": "Sentence 1: A man is eating wood. Sentence 2: A man is adding oil to car.", "output": "0 - definitely not" }, "711": { "input": "Sentence 1: A dog is speaking to the camera. Sentence 2: A dog is eating some water melon.", "output": "1 - probably not" }, "712": { "input": "Sentence 1: A man and woman are walking. Sentence 2: A man and woman walking hold each other.", "output": "3 - probably" }, "713": { "input": "Sentence 1: A man is cutting a rope with a sword. Sentence 2: The man slced through a thick rope with a sword.", "output": "4 - almost perfectly" }, "714": { "input": "Sentence 1: The man is singing and playing the guitar. Sentence 2: A man is playing a guitar.", "output": "3 - probably" }, "715": { "input": "Sentence 1: A man is cutting a paper. Sentence 2: A person is tearing paper.", "output": "3 - probably" }, "716": { "input": "Sentence 1: A man is dancing. Sentence 2: A rat is running.", "output": "0 - definitely not" }, "717": { "input": "Sentence 1: Two boys are talking on the phone. Sentence 2: A woman is talking on a telephone.", "output": "2 - possibly" }, "718": { "input": "Sentence 1: A man is playing guitar. Sentence 2: A woman is peeling a tuber.", "output": "0 - definitely not" }, "719": { "input": "Sentence 1: A woman is slicing an onion. Sentence 2: A women slicing lemons.", "output": "1 - probably not" }, "720": { "input": "Sentence 1: A woman is riding a horse. Sentence 2: A man is running on rope.", "output": "0 - definitely not" }, "721": { "input": "Sentence 1: A man is playing soccer. Sentence 2: A man is drawing some figures.", "output": "0 - definitely not" }, "722": { "input": "Sentence 1: A woman is peeling an orange. Sentence 2: A man is playing a flute.", "output": "0 - definitely not" }, "723": { "input": "Sentence 1: Someone is cracking an egg open. Sentence 2: A man is breaking an egg.", "output": "3 - probably" }, "724": { "input": "Sentence 1: A man is cutting a snake to cook. Sentence 2: A woman is cutting meat.", "output": "2 - possibly" }, "725": { "input": "Sentence 1: A woman is scraping a carrot. Sentence 2: A man is striking clay pots.", "output": "0 - definitely not" }, "726": { "input": "Sentence 1: A man and woman are Bollywood dancing. Sentence 2: A man an woman are dancing in the rain.", "output": "2 - possibly" }, "727": { "input": "Sentence 1: A woman is cutting flowers. Sentence 2: A man is holding huge sunflowers.", "output": "1 - probably not" }, "728": { "input": "Sentence 1: The man danced in the diner. Sentence 2: The bomb exploded in the desert.", "output": "0 - definitely not" }, "729": { "input": "Sentence 1: American flag is waving. Sentence 2: A American flag is blowing in the wind.", "output": "4 - almost perfectly" }, "730": { "input": "Sentence 1: A lion is walking in an enclosed area. Sentence 2: A lion is walking around.", "output": "3 - probably" }, "731": { "input": "Sentence 1: A woman is slicing a lemon. Sentence 2: A man is showing a bread.", "output": "0 - definitely not" }, "732": { "input": "Sentence 1: A woman is playing the flute. Sentence 2: A woman is slicing some tuna.", "output": "0 - definitely not" }, "733": { "input": "Sentence 1: The dog is barking at the toy. Sentence 2: A dog is barking at an electronic toy duck.", "output": "4 - almost perfectly" }, "734": { "input": "Sentence 1: A woman is adding an egg and stirring. Sentence 2: A woman is mixing an egg in a bowl.", "output": "4 - almost perfectly" }, "735": { "input": "Sentence 1: A woman covers a piece of meat with flour. Sentence 2: A woman is seasoning a piece of meat.", "output": "3 - probably" }, "736": { "input": "Sentence 1: A man does floor exercises. Sentence 2: A man is exercising.", "output": "4 - almost perfectly" }, "737": { "input": "Sentence 1: A man is slicing a potatoe. Sentence 2: A man is peeling a banana.", "output": "1 - probably not" }, "738": { "input": "Sentence 1: Someone is playing piano. Sentence 2: A person is playing a keyboard piano.", "output": "4 - almost perfectly" }, "739": { "input": "Sentence 1: The woman is putting makeup on the man. Sentence 2: A woman is painting the face of a man.", "output": "3 - probably" }, "740": { "input": "Sentence 1: The woman droppped eggplant into the pan. Sentence 2: A woman puts chopped eggplant into a skillet.", "output": "4 - almost perfectly" }, "741": { "input": "Sentence 1: A man plays a trumpet. Sentence 2: A man is playing a musical instrument.", "output": "3 - probably" }, "742": { "input": "Sentence 1: A woman is slicing a lemon. Sentence 2: A woman, in a kitchen, peels a lemon.", "output": "3 - probably" }, "743": { "input": "Sentence 1: A tiger trys to climb the wall. Sentence 2: A lion is trying to climb up over a wall.", "output": "3 - probably" }, "744": { "input": "Sentence 1: A man is preparing a hanging rope. Sentence 2: A man is tying a noose.", "output": "5 - perfectly" }, "745": { "input": "Sentence 1: A woman dances on a stage. Sentence 2: A woman is dancing.", "output": "3 - probably" }, "746": { "input": "Sentence 1: The girl is riding the horse. Sentence 2: The girl is spraying the plants with water.", "output": "0 - definitely not" }, "747": { "input": "Sentence 1: A person is frying. Sentence 2: A person is peeling a potato.", "output": "1 - probably not" }, "748": { "input": "Sentence 1: A man is shooting a pistol. Sentence 2: A woman is chopping garlic.", "output": "1 - probably not" }, "749": { "input": "Sentence 1: A woman is swinging her arms. Sentence 2: A woman is slicing an onion.", "output": "1 - probably not" }, "750": { "input": "Sentence 1: A man is walking outside. Sentence 2: A man is dancing.", "output": "1 - probably not" }, "751": { "input": "Sentence 1: A man dries his hands. Sentence 2: A woman fixes her hair.", "output": "0 - definitely not" }, "752": { "input": "Sentence 1: A girl is playing the piano. Sentence 2: A little girl is playing a grand piano on stage.", "output": "3 - probably" }, "753": { "input": "Sentence 1: A man is drawing some figures. Sentence 2: A man is drawing on a digital dry erase board.", "output": "3 - probably" }, "754": { "input": "Sentence 1: The monkey is hanging from the trees. Sentence 2: The monkey swung from branch to branch.", "output": "2 - possibly" }, "755": { "input": "Sentence 1: Some children are jumping on Trampoline. Sentence 2: Two boy are playing on a trampoline.", "output": "3 - probably" }, "756": { "input": "Sentence 1: A woman with a knife is slicing a pepper. Sentence 2: A women slicing green pepper.", "output": "4 - almost perfectly" }, "757": { "input": "Sentence 1: A man is adding oil to car. Sentence 2: A man is putting anti-freeze into a car.", "output": "2 - possibly" }, "758": { "input": "Sentence 1: A man is slicing a carrot by a machine. Sentence 2: A man is climbing a rope.", "output": "0 - definitely not" }, "759": { "input": "Sentence 1: A boy played a keyboard. Sentence 2: A person is playing a piano keyboard.", "output": "3 - probably" }, "760": { "input": "Sentence 1: A cat is playing with an antenna. Sentence 2: A boy is playing in the mud.", "output": "0 - definitely not" }, "761": { "input": "Sentence 1: A woman is slicing pumpkin. Sentence 2: A person is slicing cantaloupe.", "output": "2 - possibly" }, "762": { "input": "Sentence 1: The people threw the dummy over the cliff edge. Sentence 2: Some people are throwing a dummy off a cliff.", "output": "4 - almost perfectly" }, "763": { "input": "Sentence 1: A gun is being fired. Sentence 2: A potato is being peeled.", "output": "0 - definitely not" }, "764": { "input": "Sentence 1: A woman is cutting a plastic sheet. Sentence 2: A woman is playing a guitar on streets.", "output": "0 - definitely not" }, "765": { "input": "Sentence 1: A woman cuts a pineapple. Sentence 2: A woman is slicing a pineapple into pieces.", "output": "4 - almost perfectly" }, "766": { "input": "Sentence 1: A woman is adding spices on a meat. Sentence 2: A woman adds ingredients to beef.", "output": "4 - almost perfectly" }, "767": { "input": "Sentence 1: A person is adding oil in the pan. Sentence 2: The cook pouring oil into the pan.", "output": "4 - almost perfectly" }, "768": { "input": "Sentence 1: A cook seasons some dough. Sentence 2: A man is seasoning some dough in a pan.", "output": "4 - almost perfectly" }, "769": { "input": "Sentence 1: A boy is running on a beach. Sentence 2: Two boys are playing in the beach.", "output": "3 - probably" }, "770": { "input": "Sentence 1: A baby monkey scratches itself. Sentence 2: The monkey scratched his tummy.", "output": "3 - probably" }, "771": { "input": "Sentence 1: A boy is riding a bike on a gate. Sentence 2: A woman is riding a horse.", "output": "1 - probably not" }, "772": { "input": "Sentence 1: A man is doing a card trick. Sentence 2: A man is squeezing water.", "output": "0 - definitely not" }, "773": { "input": "Sentence 1: A man is playing the piano. Sentence 2: Someone is playing guitar.", "output": "1 - probably not" }, "774": { "input": "Sentence 1: A man is mowing grass. Sentence 2: A guy is mowing the lawn.", "output": "5 - perfectly" }, "775": { "input": "Sentence 1: A person is mixing water and flour. Sentence 2: A person is hitchhiking on a road.", "output": "1 - probably not" }, "776": { "input": "Sentence 1: The two dogs were in the pen. Sentence 2: The cowboy rode his horse in the desert.", "output": "0 - definitely not" }, "777": { "input": "Sentence 1: A man is riding on one wheel on a motorcycle. Sentence 2: A person is performing tricks on a motorcycle.", "output": "3 - probably" }, "778": { "input": "Sentence 1: A man is opening a box using a knife. Sentence 2: A man is playing a guitar.", "output": "0 - definitely not" }, "779": { "input": "Sentence 1: A man is kicking oots of water. Sentence 2: A woman is slicing a red pepper.", "output": "0 - definitely not" }, "780": { "input": "Sentence 1: A man is eating. Sentence 2: A woman is rock climbing.", "output": "0 - definitely not" }, "781": { "input": "Sentence 1: A young boy sings and plays a guitar. Sentence 2: A kid plays the guitar.", "output": "3 - probably" }, "782": { "input": "Sentence 1: The woman is peeling lemon. Sentence 2: The man is balancing on the wire.", "output": "0 - definitely not" }, "783": { "input": "Sentence 1: A man is playing the trumpet. Sentence 2: Someone is playing with a toad.", "output": "1 - probably not" }, "784": { "input": "Sentence 1: A dog is looking around Sentence 2: A dog is watching a store counter.", "output": "2 - possibly" }, "785": { "input": "Sentence 1: A woman is slicing an onion. Sentence 2: A man is shown slicing a carrot with a knife.", "output": "1 - probably not" }, "786": { "input": "Sentence 1: The man drilled holes into the wood. Sentence 2: A man drills wood.", "output": "4 - almost perfectly" }, "787": { "input": "Sentence 1: A man is playing flute. Sentence 2: A man is petting a tied up dog.", "output": "0 - definitely not" }, "788": { "input": "Sentence 1: A man is placing meat in a bag. Sentence 2: A man is drivong a car.", "output": "0 - definitely not" }, "789": { "input": "Sentence 1: A girl is eating a cupcake. Sentence 2: A man is playing a trumpet.", "output": "0 - definitely not" }, "790": { "input": "Sentence 1: A rabbit is sniffing and pawing a stuffed rabbit. Sentence 2: A live rabbit is playing with a stuffed animal bunny.", "output": "4 - almost perfectly" }, "791": { "input": "Sentence 1: A man is buttering bread. Sentence 2: A woman is ridint a horse.", "output": "0 - definitely not" }, "792": { "input": "Sentence 1: A woman is squeezing some cucumber slices. Sentence 2: A woman is getting doused in green slime.", "output": "1 - probably not" }, "793": { "input": "Sentence 1: The man ran and jumped against the wall. Sentence 2: A man jumps into a wall.", "output": "3 - probably" }, "794": { "input": "Sentence 1: The man is seasoning the sausages. Sentence 2: The man added seasoning to water in a bowl.", "output": "2 - possibly" }, "795": { "input": "Sentence 1: A clown is singing and people are dancing. Sentence 2: A clown is singing.", "output": "3 - probably" }, "796": { "input": "Sentence 1: A woman is feeding an aardvark. Sentence 2: A woman is chopping up garlic.", "output": "0 - definitely not" }, "797": { "input": "Sentence 1: A person is rinsing a steak off with water. Sentence 2: A man is rinsing a large steak.", "output": "4 - almost perfectly" }, "798": { "input": "Sentence 1: A man is throwing knives at a tree. Sentence 2: A man is showing magic.", "output": "2 - possibly" }, "799": { "input": "Sentence 1: Girls are walking on the stage. Sentence 2: Women models are walking down a catwalk.", "output": "3 - probably" }, "800": { "input": "Sentence 1: A woman is doing weight exercises. Sentence 2: A woman is exercising with a barbell.", "output": "4 - almost perfectly" }, "801": { "input": "Sentence 1: A man is peeling a potato. Sentence 2: A man is hiking.", "output": "0 - definitely not" }, "802": { "input": "Sentence 1: A woman is in the rain. Sentence 2: A car is driving along the road.", "output": "0 - definitely not" }, "803": { "input": "Sentence 1: A woman is hitting a man. Sentence 2: A man is holding a slow loris.", "output": "0 - definitely not" }, "804": { "input": "Sentence 1: A woman is riding an elephant. Sentence 2: A man is lifting himself.", "output": "0 - definitely not" }, "805": { "input": "Sentence 1: A man is lifting weights. Sentence 2: A woman is exercising her abs.", "output": "1 - probably not" }, "806": { "input": "Sentence 1: A person is riding a jetski in the waves. Sentence 2: A woman is riding a seadoo.", "output": "2 - possibly" }, "807": { "input": "Sentence 1: A woman is wearing headphones. Sentence 2: A woman is chopping some shiso leaves.", "output": "1 - probably not" }, "808": { "input": "Sentence 1: A kitten is eating its food from a plate. Sentence 2: A kitten eats some food.", "output": "4 - almost perfectly" }, "809": { "input": "Sentence 1: A woman is reading a lifestyle magazine. Sentence 2: A woman is slicing a meat into pieces.", "output": "0 - definitely not" }, "810": { "input": "Sentence 1: A group of girls are exiting a taxi. Sentence 2: A video clip of Rihanna leaving a taxi.", "output": "2 - possibly" }, "811": { "input": "Sentence 1: A woman is seasoning a piece of meat. Sentence 2: A man is loading a rifle with bullets.", "output": "0 - definitely not" }, "812": { "input": "Sentence 1: A man is chopping coriander leaf. Sentence 2: A man is playing a guitar.", "output": "1 - probably not" }, "813": { "input": "Sentence 1: A man takes a slice of pizza. Sentence 2: A man talks on his cell phone.", "output": "1 - probably not" }, "814": { "input": "Sentence 1: A man is placing meat inside a plastic bag. Sentence 2: A woman is carrying a wallaby in a bag.", "output": "0 - definitely not" }, "815": { "input": "Sentence 1: A rabbi is talking. Sentence 2: A man is walking on a rope.", "output": "0 - definitely not" }, "816": { "input": "Sentence 1: A man rides a horse. Sentence 2: A woman rubs a baby's leg.", "output": "0 - definitely not" }, "817": { "input": "Sentence 1: A man is playing guitar. Sentence 2: Smeone is laying down.", "output": "0 - definitely not" }, "818": { "input": "Sentence 1: A man is slicing a bun. Sentence 2: A man is breaking pots.", "output": "0 - definitely not" }, "819": { "input": "Sentence 1: A man is driving a car. Sentence 2: A woman dips a shrimp in batter.", "output": "0 - definitely not" }, "820": { "input": "Sentence 1: A dog is barking. Sentence 2: A jet is flying.", "output": "0 - definitely not" }, "821": { "input": "Sentence 1: A monkey is walking on a bed. Sentence 2: A man is riding a horse.", "output": "0 - definitely not" }, "822": { "input": "Sentence 1: A woman is cooking broccoli. Sentence 2: A man is eating his food.", "output": "0 - definitely not" }, "823": { "input": "Sentence 1: A man is frying a tortilla. Sentence 2: A person is performing a card trick.", "output": "0 - definitely not" }, "824": { "input": "Sentence 1: A woman serving volleyballs over a net. Sentence 2: One woman hands volleyballs to another woman who serves them.", "output": "3 - probably" }, "825": { "input": "Sentence 1: A man is slicing cucumber with a knife. Sentence 2: A man is cooking a tortilla in a skillet.", "output": "1 - probably not" }, "826": { "input": "Sentence 1: A man is playing an electronic keyboard. Sentence 2: A band is playing instruments.", "output": "1 - probably not" }, "827": { "input": "Sentence 1: A man is playing a violin. Sentence 2: The baby is laughing and crawling.", "output": "0 - definitely not" }, "828": { "input": "Sentence 1: The person is removing the scales from the fish. Sentence 2: A person is descaling a fish.", "output": "5 - perfectly" }, "829": { "input": "Sentence 1: People are walking in the garden. Sentence 2: One boy is talking with other man.", "output": "0 - definitely not" }, "830": { "input": "Sentence 1: A young child rides a horse. Sentence 2: The little girl rode a horse.", "output": "3 - probably" }, "831": { "input": "Sentence 1: A person is cutting garlic into pieces with a knife. Sentence 2: Someone is putting ingredients into a wok.", "output": "1 - probably not" }, "832": { "input": "Sentence 1: A man is folding a piece of paper. Sentence 2: A man is slicing a plastic container with a sword.", "output": "0 - definitely not" }, "833": { "input": "Sentence 1: The man was pushed into the water. Sentence 2: A man pushes another man into the ocean.", "output": "2 - possibly" }, "834": { "input": "Sentence 1: A boy is upset playing video games. Sentence 2: Someone is playing a gameboy.", "output": "2 - possibly" }, "835": { "input": "Sentence 1: A man makes a call on a cell phone. Sentence 2: A man is making a phone call.", "output": "4 - almost perfectly" }, "836": { "input": "Sentence 1: A man is speaking on a phone. Sentence 2: A panda bear is chewing on a stick.", "output": "0 - definitely not" }, "837": { "input": "Sentence 1: A woman is applying cosmetics to her face. Sentence 2: A woman is putting on makeup.", "output": "5 - perfectly" }, "838": { "input": "Sentence 1: The man lifted barbells. Sentence 2: A man lifts weights.", "output": "4 - almost perfectly" }, "839": { "input": "Sentence 1: A woman feeds an animal by hand. Sentence 2: The women are feeding the animal.", "output": "3 - probably" }, "840": { "input": "Sentence 1: Several ferrets climb out of their cage. Sentence 2: Ferrets climb down from a shelf.", "output": "2 - possibly" }, "841": { "input": "Sentence 1: A young woman is playing the flute. Sentence 2: A woman is washing off the top of a freezer.", "output": "0 - definitely not" }, "842": { "input": "Sentence 1: A woman shoots a shotgun. Sentence 2: The woman is shooting a rifle.", "output": "3 - probably" }, "843": { "input": "Sentence 1: A person is adding chili powder to chili with beans. Sentence 2: The man is adding seasoning to the beans.", "output": "4 - almost perfectly" }, "844": { "input": "Sentence 1: A woman rapidly fires a handgun. Sentence 2: A woman is shooting off a gun.", "output": "4 - almost perfectly" }, "845": { "input": "Sentence 1: A person is slicing an onion. Sentence 2: A solenodon is walking along the ground.", "output": "0 - definitely not" }, "846": { "input": "Sentence 1: A dog is opening a fridge. Sentence 2: A dog closes a refrigerator door.", "output": "2 - possibly" }, "847": { "input": "Sentence 1: A woman is holding a dancing baby up. Sentence 2: A woman is abusing her child.", "output": "1 - probably not" }, "848": { "input": "Sentence 1: The cat shimmied under the bed. Sentence 2: A cat is crawling upside down under the couch.", "output": "2 - possibly" }, "849": { "input": "Sentence 1: A woman is chopping garlic. Sentence 2: A woman slices a fish.", "output": "1 - probably not" }, "850": { "input": "Sentence 1: A man is cutting grass. Sentence 2: A masked man sings.", "output": "0 - definitely not" }, "851": { "input": "Sentence 1: A man is cutting grass. Sentence 2: A clown is singing.", "output": "0 - definitely not" }, "852": { "input": "Sentence 1: The man played haki sak in the office. Sentence 2: The man is seasoning the vegetables.", "output": "0 - definitely not" }, "853": { "input": "Sentence 1: A man is carrying another man on his back. Sentence 2: A man is taking pictures of ant.", "output": "0 - definitely not" }, "854": { "input": "Sentence 1: Meat is dropped into a pan. Sentence 2: A woman is putting meat in a pan.", "output": "3 - probably" }, "855": { "input": "Sentence 1: A woman is cutting scallions. Sentence 2: A woman falls on a sand castle.", "output": "0 - definitely not" }, "856": { "input": "Sentence 1: A man is slam dunking a ball. Sentence 2: A woman is slicing some onions.", "output": "0 - definitely not" }, "857": { "input": "Sentence 1: A machine is sharpening a pencil. Sentence 2: A girl is riding a bicycle.", "output": "0 - definitely not" }, "858": { "input": "Sentence 1: A woman is brushing her feet. Sentence 2: The sun is rising behind trees.", "output": "0 - definitely not" }, "859": { "input": "Sentence 1: A man is cleaning the windows. Sentence 2: A man is driving a car.", "output": "0 - definitely not" }, "860": { "input": "Sentence 1: A person is stirring rice. Sentence 2: A woman is cracking an egg.", "output": "1 - probably not" }, "861": { "input": "Sentence 1: A man puts a knife in a vice. Sentence 2: A man is dancing.", "output": "0 - definitely not" }, "862": { "input": "Sentence 1: A boy plays violin on stage. Sentence 2: A boy is onstage playing the violin.", "output": "4 - almost perfectly" }, "863": { "input": "Sentence 1: A woman cuts a pink loaf with a knife. Sentence 2: A man is playing a guitar.", "output": "0 - definitely not" }, "864": { "input": "Sentence 1: A man is adding pork chops to a pan. Sentence 2: A woman is peeling a potato.", "output": "1 - probably not" }, "865": { "input": "Sentence 1: The men are fighting each other. Sentence 2: The man drew on the white paper.", "output": "0 - definitely not" }, "866": { "input": "Sentence 1: A man is catching a ball. Sentence 2: A cat is rubbing against a baby.", "output": "0 - definitely not" }, "867": { "input": "Sentence 1: A girl is reading a newspaper. Sentence 2: A chef is peeling a potato.", "output": "0 - definitely not" }, "868": { "input": "Sentence 1: A slow loris bites a persons fingers. Sentence 2: A small animal is chewing on a finger.", "output": "2 - possibly" }, "869": { "input": "Sentence 1: A man is walking along a path through wilderness. Sentence 2: A man is peeling an onion.", "output": "1 - probably not" }, "870": { "input": "Sentence 1: The man played his guitar. Sentence 2: A guy is singing while playing his guitar.", "output": "3 - probably" }, "871": { "input": "Sentence 1: Some men are skating on the road. Sentence 2: Two boys are skate boarding.", "output": "3 - probably" }, "872": { "input": "Sentence 1: A man pours liquid into a pan. Sentence 2: The chef poured oil in the pan.", "output": "3 - probably" }, "873": { "input": "Sentence 1: A boy is playing piano and singing. Sentence 2: A pig is agitating a lion.", "output": "0 - definitely not" }, "874": { "input": "Sentence 1: A cat and a ferret are playing. Sentence 2: A ferret and kitten play together.", "output": "4 - almost perfectly" }, "875": { "input": "Sentence 1: A monkey is walking through the water. Sentence 2: A guy is playing a trumpet.", "output": "0 - definitely not" }, "876": { "input": "Sentence 1: A woman is putting on makeup. Sentence 2: A band is singing.", "output": "0 - definitely not" }, "877": { "input": "Sentence 1: A dog is driving a car. Sentence 2: A guy is talking into a microphone.", "output": "0 - definitely not" }, "878": { "input": "Sentence 1: A car backs out of a space. Sentence 2: A car is taking reverse.", "output": "2 - possibly" }, "879": { "input": "Sentence 1: A man is holding a frog. Sentence 2: A man is emptying a plastic container.", "output": "1 - probably not" }, "880": { "input": "Sentence 1: A man is traveling in a boat. Sentence 2: A woman is cutting up a carrot with a knife.", "output": "0 - definitely not" }, "881": { "input": "Sentence 1: The man rode his motorcycle down the highway. Sentence 2: A person is driving a motorcycle on a road.", "output": "4 - almost perfectly" }, "882": { "input": "Sentence 1: A man is dicing an onion. Sentence 2: The man is playing the guitar.", "output": "0 - definitely not" }, "883": { "input": "Sentence 1: A man performs on a stage. Sentence 2: A man guts a fish.", "output": "0 - definitely not" }, "884": { "input": "Sentence 1: The women are sitiing down. Sentence 2: Two women are sitting close to each other and talking.", "output": "3 - probably" }, "885": { "input": "Sentence 1: A woman is dancing by a fire. Sentence 2: A man ties a noose.", "output": "0 - definitely not" }, "886": { "input": "Sentence 1: A man is meditating. Sentence 2: The man is riding the horse.", "output": "1 - probably not" }, "887": { "input": "Sentence 1: A boy is cutting paper. Sentence 2: A man is loading a rifle.", "output": "0 - definitely not" }, "888": { "input": "Sentence 1: The man talked on the telephone. Sentence 2: Girls are walking on the stage.", "output": "0 - definitely not" }, "889": { "input": "Sentence 1: A man is playing the guitar and singing. Sentence 2: A man is opening a package containing headphones.", "output": "1 - probably not" }, "890": { "input": "Sentence 1: An animal is walking. Sentence 2: A woman is applying eye makeup.", "output": "0 - definitely not" }, "891": { "input": "Sentence 1: Someone is scratching an animals belly. Sentence 2: A woman is stroking a lemur.", "output": "2 - possibly" }, "892": { "input": "Sentence 1: A man is lifting heavy weights. Sentence 2: A wallaby is licking a woman's hand.", "output": "0 - definitely not" }, "893": { "input": "Sentence 1: A boy is playing with a toy. Sentence 2: A boy plays a handheld game.", "output": "3 - probably" }, "894": { "input": "Sentence 1: A man dives off of a cliff. Sentence 2: A man is riding a motorcycle.", "output": "1 - probably not" }, "895": { "input": "Sentence 1: A man is coming out into the water. Sentence 2: A man rises from a swamp.", "output": "3 - probably" }, "896": { "input": "Sentence 1: A man and woman dance. Sentence 2: A man is petting a dog.", "output": "0 - definitely not" }, "897": { "input": "Sentence 1: A group of couples are dancing. Sentence 2: Men and women are dancing slowly.", "output": "3 - probably" }, "898": { "input": "Sentence 1: A man is scaling a fish. Sentence 2: A man pours some cooking oil into a pot.", "output": "1 - probably not" }, "899": { "input": "Sentence 1: The man is playing the guitar. Sentence 2: The cat cleaned his face with his paw.", "output": "0 - definitely not" }, "900": { "input": "Sentence 1: The man did pushups on a wall. Sentence 2: The man tased the food.", "output": "0 - definitely not" }, "901": { "input": "Sentence 1: A woman cuts up a vegetable. Sentence 2: A woman is slicing egg plant.", "output": "2 - possibly" }, "902": { "input": "Sentence 1: A person breaks an egg into a small bowl. Sentence 2: A man cracks an egg.", "output": "3 - probably" }, "903": { "input": "Sentence 1: A man is playing keyboards. Sentence 2: A man is riding a mechanical bull.", "output": "1 - probably not" }, "904": { "input": "Sentence 1: A man is adding oil to a pot. Sentence 2: A dog is catching a fish in a river.", "output": "0 - definitely not" }, "905": { "input": "Sentence 1: The girl danced in front of the bonfire. Sentence 2: A woman is dancing to music standing near a bonfire.", "output": "3 - probably" }, "906": { "input": "Sentence 1: A man is chopping butter into a container. Sentence 2: A woman is cutting shrimps.", "output": "1 - probably not" }, "907": { "input": "Sentence 1: A girl is dragged downhill by a dog. Sentence 2: A dog is pulling a child down a hill.", "output": "4 - almost perfectly" }, "908": { "input": "Sentence 1: The girl is tiding up her bed. Sentence 2: A woman is making a bed.", "output": "2 - possibly" }, "909": { "input": "Sentence 1: Someoen is cooking onions. Sentence 2: A man is swinging nunchucks.", "output": "0 - definitely not" }, "910": { "input": "Sentence 1: The girls danced on the stage. Sentence 2: A girl is putting on makeup.", "output": "0 - definitely not" }, "911": { "input": "Sentence 1: A panda bear is laying down. Sentence 2: A baby panda relaxes on some logs.", "output": "3 - probably" }, "912": { "input": "Sentence 1: A couple of policewomen are singing karaoke. Sentence 2: Two women are dancing.", "output": "1 - probably not" }, "913": { "input": "Sentence 1: A man is putting broccoli into water. Sentence 2: A person is peeling a potato.", "output": "1 - probably not" }, "914": { "input": "Sentence 1: The doctor was helping the patient. Sentence 2: Doctors are trying to revive a man.", "output": "3 - probably" }, "915": { "input": "Sentence 1: Some is grating onion into water. Sentence 2: A person grates a potato into a bowl.", "output": "2 - possibly" }, "916": { "input": "Sentence 1: A baby is talking. Sentence 2: A boy is trying to say firetruck.", "output": "1 - probably not" }, "917": { "input": "Sentence 1: A woman boils eggs. Sentence 2: A woman places two eggs into a pot of water.", "output": "3 - probably" }, "918": { "input": "Sentence 1: A woman puts ingredients in a whisked egg. Sentence 2: A man pours gasoline.", "output": "0 - definitely not" }, "919": { "input": "Sentence 1: A woman is slicing mango. Sentence 2: A man is putting cheese on a tortilla.", "output": "1 - probably not" }, "920": { "input": "Sentence 1: A girl is slicing a butter into two pieces. Sentence 2: A woman is slicing tofu.", "output": "1 - probably not" }, "921": { "input": "Sentence 1: A man is playing the guitar. Sentence 2: A person is slicing a meat into pieces.", "output": "0 - definitely not" }, "922": { "input": "Sentence 1: A man is opening a package containing headphones. Sentence 2: A woman is riding a horse.", "output": "0 - definitely not" }, "923": { "input": "Sentence 1: A girl is playing a guitar. Sentence 2: A boy is playing a key-board between the people.", "output": "1 - probably not" }, "924": { "input": "Sentence 1: A little girl plays the violin on a beach. Sentence 2: The girl sat on the couch to crochet.", "output": "0 - definitely not" }, "925": { "input": "Sentence 1: A monkey is karate kicking at someone's gloved hand. Sentence 2: A monkey pratices martial arts.", "output": "4 - almost perfectly" }, "926": { "input": "Sentence 1: A female applies something to he hair with her hands. Sentence 2: A cat is eating a slice of watermelon.", "output": "0 - definitely not" }, "927": { "input": "Sentence 1: The man is playing the wooden flute. Sentence 2: A little boy is vacuuming the floor.", "output": "0 - definitely not" }, "928": { "input": "Sentence 1: A young woman is playing a guitar. Sentence 2: A woman cuts up some meat.", "output": "1 - probably not" }, "929": { "input": "Sentence 1: The men are playing soccer. Sentence 2: A man is riding a motorcycle.", "output": "0 - definitely not" }, "930": { "input": "Sentence 1: A woman is running on the beach. Sentence 2: A dog is swimming in a pool.", "output": "0 - definitely not" }, "931": { "input": "Sentence 1: A man is straining pasta. Sentence 2: A man plays a wooden flute.", "output": "0 - definitely not" }, "932": { "input": "Sentence 1: Panda's play on a swing. Sentence 2: A man is playing guitar.", "output": "1 - probably not" }, "933": { "input": "Sentence 1: Two green and white trains sitting on the tracks. Sentence 2: Two green and white trains on tracks.", "output": "4 - almost perfectly" }, "934": { "input": "Sentence 1: A large boat in the water at the marina. Sentence 2: A large boat on the sea.", "output": "3 - probably" }, "935": { "input": "Sentence 1: a bus driving in a street. Sentence 2: Red double decker bus driving down street.", "output": "4 - almost perfectly" }, "936": { "input": "Sentence 1: A passenger train waiting in a station. Sentence 2: A passenger train sits in the station.", "output": "5 - perfectly" }, "937": { "input": "Sentence 1: a woman at a dinner table writing on her notebook. Sentence 2: Woman at table busy with something.", "output": "3 - probably" }, "938": { "input": "Sentence 1: An Apple computer sitting on the floor. Sentence 2: A Macintosh computer sitting on the floor.", "output": "4 - almost perfectly" }, "939": { "input": "Sentence 1: A close-up of a brown horse's head. Sentence 2: A side view of a horse's head.", "output": "3 - probably" }, "940": { "input": "Sentence 1: A group of people eat at a table outside. Sentence 2: Group of elderly people sitting around a table.", "output": "3 - probably" }, "941": { "input": "Sentence 1: A jockey riding a horse. Sentence 2: A jockey riding a horse in a pen.", "output": "4 - almost perfectly" }, "942": { "input": "Sentence 1: The man is riding a motorcycle down the road. Sentence 2: A man is riding a red motorcycle on the road.", "output": "4 - almost perfectly" }, "943": { "input": "Sentence 1: A woman riding a brown horse. Sentence 2: A young girl riding a brown horse.", "output": "4 - almost perfectly" }, "944": { "input": "Sentence 1: A kid jumping a ledge with a bike. Sentence 2: A black and white cat playing with a blanket.", "output": "0 - definitely not" }, "945": { "input": "Sentence 1: A black dog standing in front of yellow flowers. Sentence 2: A black dog standing in a field.", "output": "3 - probably" }, "946": { "input": "Sentence 1: Close up of a bottle of water. Sentence 2: A close up view of a bottle of water.", "output": "4 - almost perfectly" }, "947": { "input": "Sentence 1: A close up of a brown faced cat. Sentence 2: A close up of an ostrich face.", "output": "1 - probably not" }, "948": { "input": "Sentence 1: sheep standing in afield. Sentence 2: A sheep grazing in a field.", "output": "3 - probably" }, "949": { "input": "Sentence 1: A longed-haired cat with it's eyes closed. Sentence 2: A close up of a cat with its eyes closed.", "output": "4 - almost perfectly" }, "950": { "input": "Sentence 1: A dark brown horse standing in a field. Sentence 2: A brown horse stands in a lush green field.", "output": "4 - almost perfectly" }, "951": { "input": "Sentence 1: A brown horse stands in a lush green field. Sentence 2: A brown horse in a green field.", "output": "4 - almost perfectly" }, "952": { "input": "Sentence 1: a black and white cow in hay. Sentence 2: A black and white cow in a pen with hay.", "output": "4 - almost perfectly" }, "953": { "input": "Sentence 1: A school bus is driving uphill on a rural road. Sentence 2: A race care driving along a dirt road.", "output": "1 - probably not" }, "954": { "input": "Sentence 1: Camouflage airplane sitting on grassy field. Sentence 2: A camouflaged plane sitting on the green grass.", "output": "4 - almost perfectly" }, "955": { "input": "Sentence 1: Three young women standing in a room together. Sentence 2: Two Indian women with two Indian girls near the water.", "output": "0 - definitely not" }, "956": { "input": "Sentence 1: Red double decker bus driving through the streets. Sentence 2: Double decker passenger bus driving with traffic.", "output": "4 - almost perfectly" }, "957": { "input": "Sentence 1: A white sheep on a hillside looking at the camera. Sentence 2: The skinny cows are standing on the grass.", "output": "1 - probably not" }, "958": { "input": "Sentence 1: A group of sheep in a field. Sentence 2: A group of horses grazing in a field.", "output": "2 - possibly" }, "959": { "input": "Sentence 1: Very crowded office desk with computer monitor on. Sentence 2: Messy computer desk with two monitors.", "output": "3 - probably" }, "960": { "input": "Sentence 1: A man sitting in a cluttered room. Sentence 2: A man lies in a bed in a cluttered room.", "output": "3 - probably" }, "961": { "input": "Sentence 1: Two white cows in a green pasture. Sentence 2: The tan horse is in the pasture.", "output": "1 - probably not" }, "962": { "input": "Sentence 1: Black cow walking under trees in pasture. Sentence 2: Cow walking under the tree in a pasture.", "output": "4 - almost perfectly" }, "963": { "input": "Sentence 1: Two people sitting at a table at a restaurant. Sentence 2: four people sitting at a table.", "output": "2 - possibly" }, "964": { "input": "Sentence 1: A bird holding on to a metal gate. Sentence 2: A multi-colored bird clings to a wire fence.", "output": "3 - probably" }, "965": { "input": "Sentence 1: The skinny cows are standing on the grass. Sentence 2: The white ducks are standing on the ground.", "output": "1 - probably not" }, "966": { "input": "Sentence 1: a woman with a big necklace. Sentence 2: A young woman with a black top and a necklace.", "output": "3 - probably" }, "967": { "input": "Sentence 1: Brown cow with horns standing in a field. Sentence 2: Brown horse standing in middle of grassy field.", "output": "2 - possibly" }, "968": { "input": "Sentence 1: A cruise liner docked at the shoreline. Sentence 2: A cruise ship docked at shore.", "output": "4 - almost perfectly" }, "969": { "input": "Sentence 1: Two men on boat floating on the water. Sentence 2: Large green boat floating on water.l.", "output": "2 - possibly" }, "970": { "input": "Sentence 1: This is a rear view of a Chevrolet sports car. Sentence 2: The rear view of a red Chevrolet concept car.", "output": "4 - almost perfectly" }, "971": { "input": "Sentence 1: A woman holding a small baby. Sentence 2: A smiling woman holding a small baby.", "output": "4 - almost perfectly" }, "972": { "input": "Sentence 1: Group of horses grazing in grassy field. Sentence 2: A group of horses grazing in a field.", "output": "5 - perfectly" }, "973": { "input": "Sentence 1: Two people dressed in white standing on a grass field. Sentence 2: A person is standing underneath an overpass near a highway.", "output": "0 - definitely not" }, "974": { "input": "Sentence 1: Two Eagles perched on a branch. Sentence 2: Two bald eagles perched on a branch.", "output": "4 - almost perfectly" }, "975": { "input": "Sentence 1: Five birds stand on the snow. Sentence 2: Several cardinals stand in the snow.", "output": "4 - almost perfectly" }, "976": { "input": "Sentence 1: A passenger train in the snow. Sentence 2: A passenger train waiting in a station.", "output": "2 - possibly" }, "977": { "input": "Sentence 1: The black bird is sitting on the ground. Sentence 2: A blackbird sitting on the ground.", "output": "5 - perfectly" }, "978": { "input": "Sentence 1: The black and white bull is looking at the camera. Sentence 2: A black and white dog looking at the camera.", "output": "2 - possibly" }, "979": { "input": "Sentence 1: The dining room table gets some afternoon sun. Sentence 2: Dining room with wooden dining table set with playmates.", "output": "2 - possibly" }, "980": { "input": "Sentence 1: The seagull is floating on the water. Sentence 2: A little bird floating in the water.", "output": "4 - almost perfectly" }, "981": { "input": "Sentence 1: Five cows are grazing beside the road. Sentence 2: Several sheep grazing in the field.", "output": "1 - probably not" }, "982": { "input": "Sentence 1: A passenger train waiting in a station. Sentence 2: A passenger train waiting at the city train station.", "output": "4 - almost perfectly" }, "983": { "input": "Sentence 1: A white animal running through snow covered woods. Sentence 2: A white dog runs through a snow covered wood.", "output": "3 - probably" }, "984": { "input": "Sentence 1: A man sitting on the grass looking toward the sky. Sentence 2: The train is riding on the tracks in the snow.", "output": "0 - definitely not" }, "985": { "input": "Sentence 1: A black, flat screen television placed on the floor. Sentence 2: A flat screen TV on the floor.", "output": "4 - almost perfectly" }, "986": { "input": "Sentence 1: A silver bicycle is parked in a living room. Sentence 2: A bicycle in a dining room.", "output": "2 - possibly" }, "987": { "input": "Sentence 1: Black train on train tracks. Sentence 2: A train on the train tracks.", "output": "4 - almost perfectly" }, "988": { "input": "Sentence 1: Black train on train tracks. Sentence 2: A train on the train tracks.", "output": "4 - almost perfectly" }, "989": { "input": "Sentence 1: An orange tabby cat sleeping on the sofa. Sentence 2: Man wearing a bib sitting on a green couch.", "output": "0 - definitely not" }, "990": { "input": "Sentence 1: The bald eagle is perched on a rope. Sentence 2: Two bald eagles perched on a branch.", "output": "3 - probably" }, "991": { "input": "Sentence 1: A couple posing for a picture on a couch. Sentence 2: Young couple sitting on couch.", "output": "4 - almost perfectly" }, "992": { "input": "Sentence 1: Red double decker bus. Sentence 2: Red double decker bus with hood up.", "output": "4 - almost perfectly" }, "993": { "input": "Sentence 1: A black and white photo of an empty train station. Sentence 2: a black and white photo of a cat lying down.", "output": "2 - possibly" }, "994": { "input": "Sentence 1: A row of locomotives on a siding in a field. Sentence 2: A dark brown horse standing in a field.", "output": "1 - probably not" }, "995": { "input": "Sentence 1: a dog napping under a small table. Sentence 2: A dog sleeping under a table.", "output": "5 - perfectly" }, "996": { "input": "Sentence 1: A boat with four sails is sailing on water. Sentence 2: Sail boat sailing on the water.", "output": "4 - almost perfectly" }, "997": { "input": "Sentence 1: Red sports car racing down track. Sentence 2: A red sports car driving quickly on a track.", "output": "5 - perfectly" }, "998": { "input": "Sentence 1: Black bird sitting on a concrete slab. Sentence 2: Small dog sitting next to white wall.", "output": "1 - probably not" }, "999": { "input": "Sentence 1: Red double decker bus on side of street. Sentence 2: A red double decker bus on a city street.", "output": "4 - almost perfectly" }, "1000": { "input": "Sentence 1: The seagull is floating on the water. Sentence 2: Large cruise ship floating on the water.", "output": "1 - probably not" }, "1001": { "input": "Sentence 1: A motorcycle parked next to a car. Sentence 2: A BMW motorcycle parked between two cars.", "output": "3 - probably" }, "1002": { "input": "Sentence 1: Gray cat looking out the window. Sentence 2: A cat looking out of a window.", "output": "4 - almost perfectly" }, "1003": { "input": "Sentence 1: A potted plant in sunlight from a window. Sentence 2: A potted plant with only a few sprouting.", "output": "3 - probably" }, "1004": { "input": "Sentence 1: Four people are rowing a boat near the shore. Sentence 2: four people are on a boat on green water.", "output": "3 - probably" }, "1005": { "input": "Sentence 1: An Amtrak passenger train waiting at a station. Sentence 2: A passenger train waiting in a station.", "output": "4 - almost perfectly" }, "1006": { "input": "Sentence 1: A large jet on the ground at the airport. Sentence 2: A passenger jet flies through the air.", "output": "2 - possibly" }, "1007": { "input": "Sentence 1: A young girl wearing a helmet riding a pony. Sentence 2: A girl wearing a red blouse riding a brown horse.", "output": "2 - possibly" }, "1008": { "input": "Sentence 1: People sitting on the porch. Sentence 2: People sitting on acouch.", "output": "1 - probably not" }, "1009": { "input": "Sentence 1: Two horses standing in a pen. Sentence 2: A group of horses grazing in a field.", "output": "2 - possibly" }, "1010": { "input": "Sentence 1: A lamb stands near two tiny animals. Sentence 2: A sheep standing near her children.", "output": "1 - probably not" }, "1011": { "input": "Sentence 1: A person riding a dirt bike in the outdoors. Sentence 2: A person jumping a motorbike in the air.", "output": "2 - possibly" }, "1012": { "input": "Sentence 1: Tan cow with ear tags on a grassy field. Sentence 2: Many sheep standing on a green hill.", "output": "0 - definitely not" }, "1013": { "input": "Sentence 1: Sail boat sailing on the water. Sentence 2: Sail boat floating on the blue water.", "output": "4 - almost perfectly" }, "1014": { "input": "Sentence 1: a woman with a viking hat on. Sentence 2: Smiling woman sitting wearing a viking hat.", "output": "4 - almost perfectly" }, "1015": { "input": "Sentence 1: Parked white double decker bus. Sentence 2: A red and white double decker bus is parked.", "output": "4 - almost perfectly" }, "1016": { "input": "Sentence 1: A field of black faced sheep. Sentence 2: A black faced sheep.", "output": "3 - probably" }, "1017": { "input": "Sentence 1: Two birds are perched on a metal band. Sentence 2: Two small birds perched on a metal bar.", "output": "4 - almost perfectly" }, "1018": { "input": "Sentence 1: Table with blue table cloth in kitchen. Sentence 2: Wooden cabinets in kitchen.", "output": "2 - possibly" }, "1019": { "input": "Sentence 1: A brown horse grazing in a field of green grass. Sentence 2: Brown horse standing in middle of grassy field.", "output": "4 - almost perfectly" }, "1020": { "input": "Sentence 1: A black and white cow standing in a grassy field. Sentence 2: A blue jay standing in a grassy field.", "output": "1 - probably not" }, "1021": { "input": "Sentence 1: A yellow and blue airplane is flying in the sky. Sentence 2: The white airplane is flying in the blue sky.", "output": "3 - probably" }, "1022": { "input": "Sentence 1: Train going down the tracks. Sentence 2: Train gliding on tracks.", "output": "5 - perfectly" }, "1023": { "input": "Sentence 1: A young woman dressed in black. Sentence 2: Two young kids dressed up sitting down on chairs.", "output": "0 - definitely not" }, "1024": { "input": "Sentence 1: Group of people sitting at table with drinks. Sentence 2: four people sitting at a table.", "output": "3 - probably" }, "1025": { "input": "Sentence 1: A plane flying at a distance. Sentence 2: A woman with a white horse.", "output": "0 - definitely not" }, "1026": { "input": "Sentence 1: Yellow striped cat resting on blue sofa. Sentence 2: An orange tabby cat sleeping on the sofa.", "output": "4 - almost perfectly" }, "1027": { "input": "Sentence 1: A passenger train coming into a station. Sentence 2: A large bird is flying through the air.", "output": "0 - definitely not" }, "1028": { "input": "Sentence 1: A black train moves down the tracks. Sentence 2: Black train idle on the tracks.", "output": "2 - possibly" }, "1029": { "input": "Sentence 1: A white jeep parked in front of a store. Sentence 2: A white Jeep parked on a street.", "output": "4 - almost perfectly" }, "1030": { "input": "Sentence 1: Two women standing in front of tour bus. Sentence 2: Two men talking in front of a plane.", "output": "0 - definitely not" }, "1031": { "input": "Sentence 1: A man rides a large black motorbike. Sentence 2: A child sits in a large black leather chair.", "output": "0 - definitely not" }, "1032": { "input": "Sentence 1: A bicycle is parked outside a bookstore. Sentence 2: People stand outside a bookstore.", "output": "1 - probably not" }, "1033": { "input": "Sentence 1: Plane in mid-flight at sunset. Sentence 2: A plane flying near the sunset.", "output": "4 - almost perfectly" }, "1034": { "input": "Sentence 1: Couple sailing in a small sailboat. Sentence 2: Two men sailing in a small sailboat.", "output": "3 - probably" }, "1035": { "input": "Sentence 1: A silver and blue motorcycle sitting next to a car. Sentence 2: A motorcycle parked next to a car.", "output": "4 - almost perfectly" }, "1036": { "input": "Sentence 1: Red double decker bus. Sentence 2: A red, double-decker bus.", "output": "5 - perfectly" }, "1037": { "input": "Sentence 1: Man standing in front of silver train. Sentence 2: Man standing in front of a silver rail car.", "output": "4 - almost perfectly" }, "1038": { "input": "Sentence 1: A black and white horned cow standing in a field. Sentence 2: a black and white cow standing in the field.", "output": "4 - almost perfectly" }, "1039": { "input": "Sentence 1: A man riding a white horse in an arena. Sentence 2: A man riding a white horse.", "output": "4 - almost perfectly" }, "1040": { "input": "Sentence 1: A train sitting on the tracks near a field. Sentence 2: A train traveling down the tracks.", "output": "2 - possibly" }, "1041": { "input": "Sentence 1: Two red buses driving in front of a garden. Sentence 2: Train pulling into a station.", "output": "0 - definitely not" }, "1042": { "input": "Sentence 1: Cows grazing in a snow covered field. Sentence 2: Five cows grazing in a snow covered field.", "output": "4 - almost perfectly" }, "1043": { "input": "Sentence 1: A man riding a white horse. Sentence 2: A woman riding a brown horse.", "output": "2 - possibly" }, "1044": { "input": "Sentence 1: A clear plastic chair in front of a bookcase. Sentence 2: a clear plastic chair in front of book shelves.", "output": "4 - almost perfectly" }, "1045": { "input": "Sentence 1: A dog is wearing a gray jacket. Sentence 2: A dog laying in a pet jacket.", "output": "3 - probably" }, "1046": { "input": "Sentence 1: A sheep stands on a hillside. Sentence 2: A large sheep standing on a hill.", "output": "4 - almost perfectly" }, "1047": { "input": "Sentence 1: A black and white cow standing in a grassy field. Sentence 2: a black and white cow standing in the field.", "output": "4 - almost perfectly" }, "1048": { "input": "Sentence 1: A girl riding a brown horse. Sentence 2: The jockey is wearing purple and riding a brown horse.", "output": "2 - possibly" }, "1049": { "input": "Sentence 1: Man standing in front of yellow corvette. Sentence 2: A man is standing next to a yellow sports car.", "output": "3 - probably" }, "1050": { "input": "Sentence 1: A white cat standing on a carpet. Sentence 2: A sheep standing in a forest.", "output": "0 - definitely not" }, "1051": { "input": "Sentence 1: A flat screen TV on the floor. Sentence 2: A flat-screen TV sits on the floor.", "output": "5 - perfectly" }, "1052": { "input": "Sentence 1: Two brown horses standing in grassy field. Sentence 2: Two men sailing in a small sailboat.", "output": "0 - definitely not" }, "1053": { "input": "Sentence 1: Two sheep stand in a doorway. Sentence 2: Two rams stand on snowy ground.", "output": "1 - probably not" }, "1054": { "input": "Sentence 1: Room with several computer monitors. Sentence 2: A room with four computer monitors in a row.", "output": "4 - almost perfectly" }, "1055": { "input": "Sentence 1: A line outside of a bookstore on a street. Sentence 2: The yellow motorcycle is parked on the street.", "output": "0 - definitely not" }, "1056": { "input": "Sentence 1: A passenger jet sits on a runway. Sentence 2: A large passenger jet flying close to the ground.", "output": "2 - possibly" }, "1057": { "input": "Sentence 1: Old green bottle sitting on a table. Sentence 2: Three men in suits sitting at a table.", "output": "0 - definitely not" }, "1058": { "input": "Sentence 1: Two white horses staring over a fence. Sentence 2: Two horses standing in a pen.", "output": "3 - probably" }, "1059": { "input": "Sentence 1: A black and white cow standing in a grassy field. Sentence 2: A black and white horned cow standing in a field.", "output": "4 - almost perfectly" }, "1060": { "input": "Sentence 1: A man and woman stand, smiling for camera. Sentence 2: A man and woman are posing for the camera.", "output": "4 - almost perfectly" }, "1061": { "input": "Sentence 1: A orange and white cat asleep on a leather chair. Sentence 2: A ginger cat sitting on an office chair.", "output": "3 - probably" }, "1062": { "input": "Sentence 1: The headlights on a blue car. Sentence 2: Close up of the headlights on a blue car.", "output": "4 - almost perfectly" }, "1063": { "input": "Sentence 1: A passenger train coming into a station. Sentence 2: A passenger train sits in the station.", "output": "2 - possibly" }, "1064": { "input": "Sentence 1: An airplane facing the camera. Sentence 2: A lone cow sits in the cold of the yard.", "output": "0 - definitely not" }, "1065": { "input": "Sentence 1: A woman riding a brown horse. Sentence 2: A person dressed in white on a brown horse.", "output": "3 - probably" }, "1066": { "input": "Sentence 1: a jockey riding a horse. Sentence 2: A jockey riding a horse in a pen.", "output": "4 - almost perfectly" }, "1067": { "input": "Sentence 1: The two dogs blend in with the stuff animals. Sentence 2: Two dogs sit on a couch with many stuffed animals.", "output": "3 - probably" }, "1068": { "input": "Sentence 1: Someone standing on a snowy mountain, watching a plane. Sentence 2: A man stands on a mountain, watching a plane.", "output": "4 - almost perfectly" }, "1069": { "input": "Sentence 1: A bird is flapping its wings in the water. Sentence 2: A large black bird is sitting in the water.", "output": "3 - probably" }, "1070": { "input": "Sentence 1: A cruise liner docked at a port. Sentence 2: A cruise ship docked at a coast.", "output": "3 - probably" }, "1071": { "input": "Sentence 1: A woman pets a dog in a fenced area. Sentence 2: A woman pets a dog in a gated yard.", "output": "5 - perfectly" }, "1072": { "input": "Sentence 1: A cat reclines on an office chair. Sentence 2: A ginger cat sitting on an office chair.", "output": "4 - almost perfectly" }, "1073": { "input": "Sentence 1: A group of horses grazing in a field. Sentence 2: A brown horse grazing in a field of green grass.", "output": "3 - probably" }, "1074": { "input": "Sentence 1: A group of people having a drink. Sentence 2: A row of locomotives on a siding in a field.", "output": "0 - definitely not" }, "1075": { "input": "Sentence 1: Two dogs in a fenced kennel look ahead. Sentence 2: Two woman pose in a dining room with a baby.", "output": "0 - definitely not" }, "1076": { "input": "Sentence 1: A yellow and blue airplane is flying in the sky. Sentence 2: Nine red and white aircraft flying in formation trailing smoke.", "output": "1 - probably not" }, "1077": { "input": "Sentence 1: The train sits at the train station. Sentence 2: The blue train is at the station.", "output": "4 - almost perfectly" }, "1078": { "input": "Sentence 1: A train sitting on the tracks near a field. Sentence 2: A baby is sitting in the grass.", "output": "0 - definitely not" }, "1079": { "input": "Sentence 1: Two women in the kitchen looking at a object. Sentence 2: Two women in kitchen with one taking a picture.", "output": "3 - probably" }, "1080": { "input": "Sentence 1: A race horse galloping without a rider. Sentence 2: A horse galloping while wearing the number 4.", "output": "3 - probably" }, "1081": { "input": "Sentence 1: A steam engine and train moving toward the camera. Sentence 2: A large bird of prey flying towards the camera.", "output": "1 - probably not" }, "1082": { "input": "Sentence 1: A small bird perched on an icy branch. Sentence 2: A yellow bird perched on a branch.", "output": "3 - probably" }, "1083": { "input": "Sentence 1: Boy with glasses typing on a computer. Sentence 2: A boy looking at a computer screen.", "output": "3 - probably" }, "1084": { "input": "Sentence 1: A smiling woman holding a small baby. Sentence 2: a woman sitting on a sofa holding a baby.", "output": "3 - probably" }, "1085": { "input": "Sentence 1: Four blue and yellow planes flying over four boats. Sentence 2: Four blue and yellow planes in flight.", "output": "4 - almost perfectly" }, "1086": { "input": "Sentence 1: Three bottles are on a table. Sentence 2: Old green bottle sitting on a table.", "output": "2 - possibly" }, "1087": { "input": "Sentence 1: A steam engine comes down a train track near trees. Sentence 2: A train is at a train station.", "output": "1 - probably not" }, "1088": { "input": "Sentence 1: A train is at a train station. Sentence 2: A train parked at a train station.", "output": "4 - almost perfectly" }, "1089": { "input": "Sentence 1: a woman sitting on a sofa holding a baby. Sentence 2: Bird sitting on a log in a lake.", "output": "0 - definitely not" }, "1090": { "input": "Sentence 1: Two birds flying towards water feeder. Sentence 2: Two birds flying near bird feeders.", "output": "4 - almost perfectly" }, "1091": { "input": "Sentence 1: Two cows standing in a large field. Sentence 2: Horse standing in a field.", "output": "2 - possibly" }, "1092": { "input": "Sentence 1: A group of sheep grazing on a hill. Sentence 2: A group of sheep are on a hill.", "output": "4 - almost perfectly" }, "1093": { "input": "Sentence 1: A man stands in front of a train. Sentence 2: A man is standing in front of a raised statue,.", "output": "2 - possibly" }, "1094": { "input": "Sentence 1: A double decker red United bus on a city street. Sentence 2: A doubly decker red bus driving down the road.", "output": "4 - almost perfectly" }, "1095": { "input": "Sentence 1: Two women sitting on brown couch. Sentence 2: Two women standing outside of a bus.", "output": "1 - probably not" }, "1096": { "input": "Sentence 1: A grey cat with green eyes looking into the camera. Sentence 2: A grey, black, and white cat looking at the camera.", "output": "3 - probably" }, "1097": { "input": "Sentence 1: The bird is sitting on the branch. Sentence 2: The sheep is standing under the trees.", "output": "0 - definitely not" }, "1098": { "input": "Sentence 1: Group of people sitting at table of restaurant. Sentence 2: Two people sitting at a table at a restaurant.", "output": "4 - almost perfectly" }, "1099": { "input": "Sentence 1: A guy on a white horse. Sentence 2: A man riding a white horse in an arena.", "output": "3 - probably" }, "1100": { "input": "Sentence 1: Two dairy cows drinking from a pond. Sentence 2: Two cows are drinking from a pond.", "output": "5 - perfectly" }, "1101": { "input": "Sentence 1: There are several sheared sheep in a pen. Sentence 2: Three white sheep in an enclosure.", "output": "2 - possibly" }, "1102": { "input": "Sentence 1: The black dog is lying in the grass. Sentence 2: A black dog lies on the grass.", "output": "5 - perfectly" }, "1103": { "input": "Sentence 1: Ten sheep looking at the camera. Sentence 2: A cat on its back looking at the camera.", "output": "1 - probably not" }, "1104": { "input": "Sentence 1: A black table with white fuzzy chair. Sentence 2: A woman with her child.", "output": "0 - definitely not" }, "1105": { "input": "Sentence 1: Red double decker bus taking on passengers. Sentence 2: A red double decker bus driving down a street.", "output": "2 - possibly" }, "1106": { "input": "Sentence 1: Sail boat sailing on the water. Sentence 2: Sailboat sailing on a cloudy day.", "output": "3 - probably" }, "1107": { "input": "Sentence 1: A girl riding on a brown and white horse. Sentence 2: A girl riding a brown horse.", "output": "4 - almost perfectly" }, "1108": { "input": "Sentence 1: A mostly black train on a track. Sentence 2: A car parked in front of train tracks.", "output": "1 - probably not" }, "1109": { "input": "Sentence 1: A group of people in a living room. Sentence 2: A group of four people walking past a giant mushroom.", "output": "1 - probably not" }, "1110": { "input": "Sentence 1: A girl with a red bag standing on the street. Sentence 2: A black dog is staring at a sheep.", "output": "0 - definitely not" }, "1111": { "input": "Sentence 1: A horse rider is riding a white horse. Sentence 2: A woman leading a white horse.", "output": "3 - probably" }, "1112": { "input": "Sentence 1: A long train is on train tracks. Sentence 2: A train on the train tracks.", "output": "4 - almost perfectly" }, "1113": { "input": "Sentence 1: A silver AreoMexico Jet Liner sitting on the tarmac. Sentence 2: An aeromexico silver plane is on a runway.", "output": "4 - almost perfectly" }, "1114": { "input": "Sentence 1: Two people sailing a small white sail boat. Sentence 2: Couple sailing in a small sailboat.", "output": "4 - almost perfectly" }, "1115": { "input": "Sentence 1: A white airplane is parked on the cement. Sentence 2: A blue motorcycle is parked on the sidewalk.", "output": "1 - probably not" }, "1116": { "input": "Sentence 1: Three cows grazing in a field. Sentence 2: Several sheep grazing in the field.", "output": "1 - probably not" }, "1117": { "input": "Sentence 1: Red double decker bus taking on passengers. Sentence 2: Red double decker bus with hood up.", "output": "2 - possibly" }, "1118": { "input": "Sentence 1: A multi-colored train on a track. Sentence 2: A mostly black train on a track.", "output": "3 - probably" }, "1119": { "input": "Sentence 1: A white and red bus traveling on the street. Sentence 2: The red bus is on the street.", "output": "2 - possibly" }, "1120": { "input": "Sentence 1: Small boat going down a creek. Sentence 2: a boat moving in a river.", "output": "3 - probably" }, "1121": { "input": "Sentence 1: Two goats standing in a field by a tree. Sentence 2: A large boat pulling a small white boat.", "output": "0 - definitely not" }, "1122": { "input": "Sentence 1: Close up of a brown horse with a blue halter. Sentence 2: A close up of a horse wearing a blue halter.", "output": "4 - almost perfectly" }, "1123": { "input": "Sentence 1: A large black bird is sitting in the water. Sentence 2: The birds are swimming in the water.", "output": "3 - probably" }, "1124": { "input": "Sentence 1: A close-up of a cat on a cream sofa. Sentence 2: A siamese cat resting on a white sofa.", "output": "3 - probably" }, "1125": { "input": "Sentence 1: A person is jumping a bicycle and performing a trick. Sentence 2: A person riding a dirt bike in the outdoors.", "output": "2 - possibly" }, "1126": { "input": "Sentence 1: A yellow school bus is parked in a rural area. Sentence 2: A yellow school bus parked in a field.", "output": "4 - almost perfectly" }, "1127": { "input": "Sentence 1: The woman is sitting on the red motorcycle. Sentence 2: The white sheep is standing on the green hill.", "output": "0 - definitely not" }, "1128": { "input": "Sentence 1: A sheep standing on a table at auction. Sentence 2: Woolly sheep at auction house.", "output": "4 - almost perfectly" }, "1129": { "input": "Sentence 1: A close-up of a black train engine. Sentence 2: Close up of a white sheep with a black head.", "output": "0 - definitely not" }, "1130": { "input": "Sentence 1: Black and white cow standing in grassy field. Sentence 2: A black and white horned cow standing in a field.", "output": "4 - almost perfectly" }, "1131": { "input": "Sentence 1: A double decker red United bus on a city street. Sentence 2: A double decker bus drives on a city street.", "output": "4 - almost perfectly" }, "1132": { "input": "Sentence 1: A man riding a small bicycle. Sentence 2: A man is doing a wheelie on a bike.", "output": "3 - probably" }, "1133": { "input": "Sentence 1: A black train moves down the tracks. Sentence 2: A train traveling down the tracks.", "output": "4 - almost perfectly" }, "1134": { "input": "Sentence 1: A young girl riding a brown horse. Sentence 2: A woman in riding a brown horse.", "output": "4 - almost perfectly" }, "1135": { "input": "Sentence 1: Two women in the kitchen looking at a object. Sentence 2: Three men in suits sitting at a table.", "output": "0 - definitely not" }, "1136": { "input": "Sentence 1: Two women posing with a baby. Sentence 2: A woman poses with a baby.", "output": "2 - possibly" }, "1137": { "input": "Sentence 1: A group of people sitting around a table containing food. Sentence 2: Four people are sitting around a living room with.snacks.", "output": "3 - probably" }, "1138": { "input": "Sentence 1: A blue motorcycle is parked on the sidewalk. Sentence 2: A blue moped parked on the sidewalk.", "output": "4 - almost perfectly" }, "1139": { "input": "Sentence 1: A red double decker bus on a city street. Sentence 2: A red double decker bus driving down a street.", "output": "5 - perfectly" }, "1140": { "input": "Sentence 1: Two trains inside a train station. Sentence 2: The train sits at the train station.", "output": "2 - possibly" }, "1141": { "input": "Sentence 1: A man riding a white horse. Sentence 2: A woman with a white horse.", "output": "2 - possibly" }, "1142": { "input": "Sentence 1: A large cruise ship in harbor with trees behind. Sentence 2: A cruise ship docked at a coast.", "output": "3 - probably" }, "1143": { "input": "Sentence 1: Two cows crossing a road intersection. Sentence 2: Two cows cross a paved street.", "output": "4 - almost perfectly" }, "1144": { "input": "Sentence 1: Red double decker bus driving down street. Sentence 2: A double decker bus on a city street.", "output": "4 - almost perfectly" }, "1145": { "input": "Sentence 1: Tan cow with ear tags on a grassy field. Sentence 2: Person in grassy field tending to sheep.", "output": "1 - probably not" }, "1146": { "input": "Sentence 1: Two women shopping at a clothing store. Sentence 2: Two women in a clothing store.", "output": "5 - perfectly" }, "1147": { "input": "Sentence 1: A group of people sitting at a restaurant table. Sentence 2: Group of people sitting at table of restaurant.", "output": "5 - perfectly" }, "1148": { "input": "Sentence 1: A close-up of a brown horse's head. Sentence 2: A close-up of a yellow school bus.", "output": "0 - definitely not" }, "1149": { "input": "Sentence 1: Woman in blue shift dress cutting into food. Sentence 2: A woman in a blue dress cuts a cake.", "output": "4 - almost perfectly" }, "1150": { "input": "Sentence 1: A small white cat standing in a sink. Sentence 2: Grey and white cat sitting in bathroom sink.", "output": "4 - almost perfectly" }, "1151": { "input": "Sentence 1: A computer on a desk. Sentence 2: A computer operating on a desk.", "output": "4 - almost perfectly" }, "1152": { "input": "Sentence 1: A little bird floating in the water. Sentence 2: A duck floating in the water.", "output": "2 - possibly" }, "1153": { "input": "Sentence 1: Old blue and white train on tracks. Sentence 2: A blue train in a mountainous area.", "output": "3 - probably" }, "1154": { "input": "Sentence 1: Yellow boat on a beach. Sentence 2: A yellow boat on shore.", "output": "4 - almost perfectly" }, "1155": { "input": "Sentence 1: Train in a station. Sentence 2: Trains inside an indoor station.", "output": "4 - almost perfectly" }, "1156": { "input": "Sentence 1: Man playing guitar while sitting down. Sentence 2: Red and white bus driving down road.", "output": "0 - definitely not" }, "1157": { "input": "Sentence 1: Red double decker bus driving down a street. Sentence 2: A double decker bus on a city street.", "output": "4 - almost perfectly" }, "1158": { "input": "Sentence 1: Three cows are grazing in a grassy field. Sentence 2: Three cows grazing in a field.", "output": "5 - perfectly" }, "1159": { "input": "Sentence 1: The brown train is sitting on the railroad tracks. Sentence 2: The white train is sitting on the tracks.", "output": "2 - possibly" }, "1160": { "input": "Sentence 1: A black and white cow in a pen with hay. Sentence 2: A black and white cat lies in the dirt.", "output": "0 - definitely not" }, "1161": { "input": "Sentence 1: A red, double-decker bus. Sentence 2: Front and left side of a red double decker bus.", "output": "3 - probably" }, "1162": { "input": "Sentence 1: A close-up view of a horse's head. Sentence 2: A side view of a horse's head.", "output": "3 - probably" }, "1163": { "input": "Sentence 1: An old fashioned wooden sailing ship in the ocean. Sentence 2: A wooden yacht on the ocean.", "output": "3 - probably" }, "1164": { "input": "Sentence 1: A sheep standing in a mountainous area. Sentence 2: A large sheep standing on a hill.", "output": "4 - almost perfectly" }, "1165": { "input": "Sentence 1: A white plane on the runway. Sentence 2: A white airplane is on a runway.", "output": "5 - perfectly" }, "1166": { "input": "Sentence 1: A tan puppy being petted. Sentence 2: A tan puppy being held and petted.", "output": "4 - almost perfectly" }, "1167": { "input": "Sentence 1: Elegant dining room with wood furniture. Sentence 2: An elegant pink dining room with wooden furniture.", "output": "4 - almost perfectly" }, "1168": { "input": "Sentence 1: A women laying across two men sitting on a sofa. Sentence 2: Two men in shorts are sitting on a sofa.", "output": "2 - possibly" }, "1169": { "input": "Sentence 1: two motorbikes on a dirt track. Sentence 2: Two dirt bikers riding over dirt hill.", "output": "4 - almost perfectly" }, "1170": { "input": "Sentence 1: A gray cat with green eyes looks at the camera. Sentence 2: A grey cat with green eyes looking into the camera.", "output": "5 - perfectly" }, "1171": { "input": "Sentence 1: Two lambs stand on a grassy hill. Sentence 2: Two dirt bikers riding over dirt hill.", "output": "0 - definitely not" }, "1172": { "input": "Sentence 1: A lone cow sits in the cold of the yard. Sentence 2: a black and white cow standing in the field.", "output": "2 - possibly" }, "1173": { "input": "Sentence 1: A double decker bus drives on a city street. Sentence 2: A red double decker bus driving down a street.", "output": "4 - almost perfectly" }, "1174": { "input": "Sentence 1: Large black and white cat resting on a windowsill. Sentence 2: A small white cat sitting in a sink.", "output": "2 - possibly" }, "1175": { "input": "Sentence 1: Boy feeding a sheep. Sentence 2: A boy feeding a sheep hay.", "output": "4 - almost perfectly" }, "1176": { "input": "Sentence 1: a close up of a small cactus in a pot. Sentence 2: a close up of a woman holding a white puppy.", "output": "1 - probably not" }, "1177": { "input": "Sentence 1: The white sheep is standing on the green hill. Sentence 2: A sheep stands on a hillside.", "output": "4 - almost perfectly" }, "1178": { "input": "Sentence 1: A wooden bicycle with an awning. Sentence 2: A group of elderly people sitting around a dining table.", "output": "0 - definitely not" }, "1179": { "input": "Sentence 1: Two brown horses standing in a green meadow. Sentence 2: A brown horse stands in tall grass.", "output": "3 - probably" }, "1180": { "input": "Sentence 1: Two men wearing bike helmets. Sentence 2: Two men stand with their bicycles outside a shop.", "output": "2 - possibly" }, "1181": { "input": "Sentence 1: A man playing a video game in a store. Sentence 2: Man playing game in a store.", "output": "3 - probably" }, "1182": { "input": "Sentence 1: A bicycle is parked outside a bookstore. Sentence 2: A green bike parked outside a book store.", "output": "4 - almost perfectly" }, "1183": { "input": "Sentence 1: A man in a black uniform on a white horse. Sentence 2: A man in a tux on a white horse.", "output": "4 - almost perfectly" }, "1184": { "input": "Sentence 1: Cars driving near a model building. Sentence 2: Vehicles driving infant of an ornate building.", "output": "2 - possibly" }, "1185": { "input": "Sentence 1: A black and white cat lying on a blanket. Sentence 2: A black and white cat sleeps on a purple blanket.", "output": "4 - almost perfectly" }, "1186": { "input": "Sentence 1: A black and white photo of a love seat. Sentence 2: A black and white photo of a bicycle.", "output": "2 - possibly" }, "1187": { "input": "Sentence 1: A man riding a white horse. Sentence 2: A woman leading a white horse.", "output": "2 - possibly" }, "1188": { "input": "Sentence 1: An orange kitten lay on a leather couch. Sentence 2: Young couple sitting on a black couch.", "output": "1 - probably not" }, "1189": { "input": "Sentence 1: A subway train pulling into the station. Sentence 2: A white train pulling into a station.", "output": "4 - almost perfectly" }, "1190": { "input": "Sentence 1: A bicycle is parked by a shop. Sentence 2: A green bike parked outside a book store.", "output": "4 - almost perfectly" }, "1191": { "input": "Sentence 1: Two men standing on beach. Sentence 2: Two women standing in front of tour bus.", "output": "0 - definitely not" }, "1192": { "input": "Sentence 1: Long-haired black dog standing in grassy field. Sentence 2: A blue jay standing in a grassy field.", "output": "1 - probably not" }, "1193": { "input": "Sentence 1: A small desk with chair near a laundry closet. Sentence 2: A room with tan walls and a washer and dryer.", "output": "0 - definitely not" }, "1194": { "input": "Sentence 1: Red double decker bus driving through the streets. Sentence 2: Red double decker bus driving down a street.", "output": "5 - perfectly" }, "1195": { "input": "Sentence 1: A goose flapping its wings in a body of water. Sentence 2: A black swan flapping its wings on the water.", "output": "3 - probably" }, "1196": { "input": "Sentence 1: Boy laying on couch with dog. Sentence 2: The boy is lying on a couch with a puppy.", "output": "4 - almost perfectly" }, "1197": { "input": "Sentence 1: A large jet on the ground at the airport. Sentence 2: A large airplane parked at the airport at night.", "output": "4 - almost perfectly" }, "1198": { "input": "Sentence 1: Two women are sitting in a cafe. Sentence 2: Two men catching a fish in a swamp.", "output": "0 - definitely not" }, "1199": { "input": "Sentence 1: A small child smiling at the camera. Sentence 2: A cat looking at the camera.", "output": "1 - probably not" }, "1200": { "input": "Sentence 1: A woman riding a brown horse. Sentence 2: Person dressed in blue riding brown horse.", "output": "3 - probably" }, "1201": { "input": "Sentence 1: photo of a television screen showing a movie. Sentence 2: The wall-mounted flat-screen TV is showing a movie.", "output": "3 - probably" }, "1202": { "input": "Sentence 1: A bird perched on a flowerpot. Sentence 2: Bird perched on a flowerpot beside a stucco wall.", "output": "4 - almost perfectly" }, "1203": { "input": "Sentence 1: White cat sitting inside of a sink. Sentence 2: Grey and white cat sitting in bathroom sink.", "output": "3 - probably" }, "1204": { "input": "Sentence 1: Young woman in riding gear on top of horse. Sentence 2: Young girl in riding gear on a horse.", "output": "4 - almost perfectly" }, "1205": { "input": "Sentence 1: Two people are sailing a small boat. Sentence 2: Two women in a sailboat.", "output": "4 - almost perfectly" }, "1206": { "input": "Sentence 1: A small bird on a tiny branch. Sentence 2: A small bird perched on an icy branch.", "output": "3 - probably" }, "1207": { "input": "Sentence 1: Two animals sitting on a rock. Sentence 2: Two eagles sitting on a long branch.", "output": "2 - possibly" }, "1208": { "input": "Sentence 1: Two young women shear a sheep. Sentence 2: Two women sheering a sheep.", "output": "4 - almost perfectly" }, "1209": { "input": "Sentence 1: The young rider takes a ride on the brown horse. Sentence 2: A young female rider on a brown horse.", "output": "4 - almost perfectly" }, "1210": { "input": "Sentence 1: Little white lamb with nose to wood. Sentence 2: A white lamb with its nose against a wooden box.", "output": "4 - almost perfectly" }, "1211": { "input": "Sentence 1: A young girl riding a white and grey horse. Sentence 2: a little girl is riding a white and grey horse.", "output": "5 - perfectly" }, "1212": { "input": "Sentence 1: A bird is flapping its wings in the water. Sentence 2: A black swan flapping its wings on the water.", "output": "4 - almost perfectly" }, "1213": { "input": "Sentence 1: A black and white cat lying on a blanket. Sentence 2: A black and white cat laying on a cat bed.", "output": "4 - almost perfectly" }, "1214": { "input": "Sentence 1: Young woman in riding gear on top of horse. Sentence 2: The woman is riding on the brown horse.", "output": "4 - almost perfectly" }, "1215": { "input": "Sentence 1: A plane being readied for take-off. Sentence 2: A small turboprop plane being loaded on the tarmac.", "output": "3 - probably" }, "1216": { "input": "Sentence 1: A kitchen with wooden cabinets and furniture. Sentence 2: Kitchen with wooden table and cabinets.", "output": "4 - almost perfectly" }, "1217": { "input": "Sentence 1: The cat is attacking a corn husk broom. Sentence 2: Grey and white cat sitting in bathroom sink.", "output": "1 - probably not" }, "1218": { "input": "Sentence 1: A couple holds a baby. Sentence 2: Couple with newborn baby.", "output": "4 - almost perfectly" }, "1219": { "input": "Sentence 1: A small bird eating from the feeder. Sentence 2: Bird eating from a bird feeder.", "output": "4 - almost perfectly" }, "1220": { "input": "Sentence 1: Close up of a white sheep with a black head. Sentence 2: A close-up of a sheep with a black head.", "output": "4 - almost perfectly" }, "1221": { "input": "Sentence 1: A young boy laying on a sofa with a dog. Sentence 2: A small boy laying on a sofa with a dog.", "output": "5 - perfectly" }, "1222": { "input": "Sentence 1: A red bird is perched in a tree. Sentence 2: A small red and grey bird perched in a tree.", "output": "3 - probably" }, "1223": { "input": "Sentence 1: Two buses parked on a street. Sentence 2: Yellow scooter parked in an alley way.", "output": "0 - definitely not" }, "1224": { "input": "Sentence 1: A black and white dog looking at the camera. Sentence 2: A grey, black, and white cat looking at the camera.", "output": "1 - probably not" }, "1225": { "input": "Sentence 1: A train is on the railroad tracks. Sentence 2: A train on the train tracks.", "output": "5 - perfectly" }, "1226": { "input": "Sentence 1: A green steam engine traveling on the railroad tracks. Sentence 2: A black steam train traveling on the railroad tracks.", "output": "3 - probably" }, "1227": { "input": "Sentence 1: A small red car on top of a semi truck. Sentence 2: Red sports car on top of white semi truck.", "output": "4 - almost perfectly" }, "1228": { "input": "Sentence 1: A television in a messy room with several bookcases. Sentence 2: A room with a television, stereo and bookshelf.", "output": "3 - probably" }, "1229": { "input": "Sentence 1: Two cows standing in a large field. Sentence 2: The cow is grazing in a field.", "output": "3 - probably" }, "1230": { "input": "Sentence 1: A man is standing next to a yellow sports car. Sentence 2: A man stands next to a yellow Corvette.", "output": "4 - almost perfectly" }, "1231": { "input": "Sentence 1: a black and white photo of cows in their stalls. Sentence 2: A black and white photo of cattle at a trough.", "output": "3 - probably" }, "1232": { "input": "Sentence 1: A yellow and black bird eats from a bird feeder. Sentence 2: A flock of birds flying over a body of water.", "output": "1 - probably not" }, "1233": { "input": "Sentence 1: A man riding a white horse in an arena. Sentence 2: A domestic animal stands in a pen.", "output": "1 - probably not" }, "1234": { "input": "Sentence 1: A Macintosh computer sitting on the floor. Sentence 2: a computer on the floor.", "output": "4 - almost perfectly" }, "1235": { "input": "Sentence 1: Group of elderly people sitting around a table. Sentence 2: A group of elderly people pose around a dining table.", "output": "3 - probably" }, "1236": { "input": "Sentence 1: Three women with brown hair are smiling. Sentence 2: Three women in Indian dresses in a crowded room smiling.", "output": "3 - probably" }, "1237": { "input": "Sentence 1: Several people on motorcycles in a market square. Sentence 2: People ride mopeds in an urban setting.", "output": "2 - possibly" }, "1238": { "input": "Sentence 1: Domestic cat laying on back of cat litter. Sentence 2: Tan domestic cat under black tarp.", "output": "2 - possibly" }, "1239": { "input": "Sentence 1: Two green birds fly towards a wooden telephone pole. Sentence 2: Two green birds flying above the telephone wires.", "output": "3 - probably" }, "1240": { "input": "Sentence 1: Three cows grazing in a field. Sentence 2: Two cows graze in a field.", "output": "3 - probably" }, "1241": { "input": "Sentence 1: A blue bird perched on a gloved hand. Sentence 2: A bird is perched on a person's gloved hand.", "output": "4 - almost perfectly" }, "1242": { "input": "Sentence 1: A baby holds a ketchup packet. Sentence 2: A baby in a highchair holds a ketchup packet.", "output": "4 - almost perfectly" }, "1243": { "input": "Sentence 1: A close-up view of a horse's head. Sentence 2: A close-up of a brown horse's head.", "output": "4 - almost perfectly" }, "1244": { "input": "Sentence 1: A train is at a train station. Sentence 2: a train in a station.", "output": "5 - perfectly" }, "1245": { "input": "Sentence 1: A dark brown horse standing in a field. Sentence 2: Horse standing in a field.", "output": "4 - almost perfectly" }, "1246": { "input": "Sentence 1: The black bird is sitting on the ground. Sentence 2: The bird is sitting on the branch.", "output": "2 - possibly" }, "1247": { "input": "Sentence 1: A pair of dogs playing with a purple ball. Sentence 2: Two dogs play with purple football.", "output": "4 - almost perfectly" }, "1248": { "input": "Sentence 1: a bird lands in the water. Sentence 2: a boat floats in the water.", "output": "1 - probably not" }, "1249": { "input": "Sentence 1: Three children stand on or near a fence. Sentence 2: The three children are standing on and by a fence.", "output": "5 - perfectly" }, "1250": { "input": "Sentence 1: A black and brown dog runs through the woods. Sentence 2: A dog running through the woods.", "output": "4 - almost perfectly" }, "1251": { "input": "Sentence 1: The two dogs are running on the grass. Sentence 2: Two dogs are playing in the grass.", "output": "4 - almost perfectly" }, "1252": { "input": "Sentence 1: A man crouching and holding a camera. Sentence 2: The crouching man is holding a large camera.", "output": "5 - perfectly" }, "1253": { "input": "Sentence 1: Man riding a bicycle down a narrow path. Sentence 2: A man riding a unicycle down a paved road", "output": "3 - probably" }, "1254": { "input": "Sentence 1: A brown dog laying on a blue cover. Sentence 2: A person is diving into clear blue water.", "output": "0 - definitely not" }, "1255": { "input": "Sentence 1: The two boys play in the field. Sentence 2: The two people have their heads covered with scarves.", "output": "0 - definitely not" }, "1256": { "input": "Sentence 1: The two dogs are running through the grass. Sentence 2: Three dogs run in the snow.", "output": "2 - possibly" }, "1257": { "input": "Sentence 1: boy doing tricks on a skateboard Sentence 2: A boy does a trick on a skateboard.", "output": "5 - perfectly" }, "1258": { "input": "Sentence 1: Three dogs playing in the snow. Sentence 2: Three dogs are playing in the water.", "output": "3 - probably" }, "1259": { "input": "Sentence 1: A young girl going down a tube slide. Sentence 2: A young girl swinging off a tire swing", "output": "2 - possibly" }, "1260": { "input": "Sentence 1: A group of people are wearing bunny ears. Sentence 2: A group of people ride in a race", "output": "1 - probably not" }, "1261": { "input": "Sentence 1: The white and brown dog runs across the grass. Sentence 2: A brown and white dog runs across the grass.", "output": "5 - perfectly" }, "1262": { "input": "Sentence 1: Two dogs are running through a grassy area. Sentence 2: Two dogs running through a grassy field.", "output": "5 - perfectly" }, "1263": { "input": "Sentence 1: A girl playing is a pile of colorful balls. Sentence 2: A little girl plays in a pit of colorful balls.", "output": "5 - perfectly" }, "1264": { "input": "Sentence 1: Smiling man with reflective classes. Sentence 2: A gentleman smiling and showing his reflective sunglasses.", "output": "5 - perfectly" }, "1265": { "input": "Sentence 1: five people standing on a sidewalk Sentence 2: Five people on a sidewalk.", "output": "5 - perfectly" }, "1266": { "input": "Sentence 1: A young boy in a brown jacket playing with snow. Sentence 2: Two dogs are playing in the snow.", "output": "1 - probably not" }, "1267": { "input": "Sentence 1: A man picking up a big rock. Sentence 2: A woman picking up a large rock.", "output": "2 - possibly" }, "1268": { "input": "Sentence 1: A white and brown dog is running over grass. Sentence 2: A brown and white dog is running across the grass.", "output": "5 - perfectly" }, "1269": { "input": "Sentence 1: Man is carrying a tool box down the sidewalk. Sentence 2: A woman is riding a blue bicycle in a park.", "output": "0 - definitely not" }, "1270": { "input": "Sentence 1: Two large dogs running in some grass. Sentence 2: Two brindle dogs running in the grass.", "output": "4 - almost perfectly" }, "1271": { "input": "Sentence 1: A dog swimming with a stick in it's mouth. Sentence 2: A dog running with a stick in it's mouth.", "output": "3 - probably" }, "1272": { "input": "Sentence 1: A man playing fetch with two brown dogs. Sentence 2: A woman plays with a brown dog.", "output": "2 - possibly" }, "1273": { "input": "Sentence 1: The man is jumping into the water. Sentence 2: The man is up in the air.", "output": "2 - possibly" }, "1274": { "input": "Sentence 1: A child is jumping into a swimming pool. Sentence 2: A dog jumping into a swimming pool.", "output": "1 - probably not" }, "1275": { "input": "Sentence 1: A girl swings her long, wet hair in a lake. Sentence 2: A person riding a dirt bike.", "output": "0 - definitely not" }, "1276": { "input": "Sentence 1: Two dogs playing by the shore. Sentence 2: Two dogs playing in the snow.", "output": "3 - probably" }, "1277": { "input": "Sentence 1: A black poodle plays in the snow. Sentence 2: A black poodle frolics in the snow.", "output": "5 - perfectly" }, "1278": { "input": "Sentence 1: two girls holding up a scary movie flyer Sentence 2: Two girls holding sacks are standing in a field.", "output": "1 - probably not" }, "1279": { "input": "Sentence 1: The tan dog runs through the leaves. Sentence 2: The white dog runs through the ocean.", "output": "2 - possibly" }, "1280": { "input": "Sentence 1: A deer jumps a fence. Sentence 2: A deer jumping over a fence.", "output": "5 - perfectly" }, "1281": { "input": "Sentence 1: A little girl holds a wooden stick. Sentence 2: A little girl swimming in a pool.", "output": "2 - possibly" }, "1282": { "input": "Sentence 1: A black dog jumps through the water. Sentence 2: A dog walks through the snow.", "output": "2 - possibly" }, "1283": { "input": "Sentence 1: Three children and playing and laughing on the floor. Sentence 2: Three children playing on the floor.", "output": "4 - almost perfectly" }, "1284": { "input": "Sentence 1: A woman and a dog standing in the grass. Sentence 2: A man carries a sign while standing in the rain.", "output": "0 - definitely not" }, "1285": { "input": "Sentence 1: A black dog running through water. Sentence 2: A black dog is running through some water.", "output": "5 - perfectly" }, "1286": { "input": "Sentence 1: Children jumping on a trampoline. Sentence 2: A man is sledding on an orange slide.", "output": "0 - definitely not" }, "1287": { "input": "Sentence 1: A large brown dog is crouching in a grassy field. Sentence 2: A brown dog is running in a field.", "output": "3 - probably" }, "1288": { "input": "Sentence 1: A dog runs through the grass. Sentence 2: A dog runs through the snow.", "output": "2 - possibly" }, "1289": { "input": "Sentence 1: A skier speeds through the snow. Sentence 2: A brown dog carrying a Frisbee runs through the snow.", "output": "0 - definitely not" }, "1290": { "input": "Sentence 1: Two people are playing golf on a golf course. Sentence 2: Two people are on a golf course playing golf.", "output": "5 - perfectly" }, "1291": { "input": "Sentence 1: A boy and a girl playing on the beach. Sentence 2: A dog playing in the waves with a ball.", "output": "1 - probably not" }, "1292": { "input": "Sentence 1: Two dogs play in the grass. Sentence 2: Two dogs are playing in the grass.", "output": "5 - perfectly" }, "1293": { "input": "Sentence 1: A softball player swinging at a pitch. Sentence 2: A baseball player hitting the ball", "output": "3 - probably" }, "1294": { "input": "Sentence 1: A man is kite surfing away from the camera. Sentence 2: A man is sky surfing on the water.", "output": "3 - probably" }, "1295": { "input": "Sentence 1: A black dog is running in the grass. Sentence 2: A boy running through green grass.", "output": "1 - probably not" }, "1296": { "input": "Sentence 1: Two people sit on the end of a dock. Sentence 2: Two people sitting on a dock.", "output": "4 - almost perfectly" }, "1297": { "input": "Sentence 1: Two dogs in a yard. Sentence 2: Two dogs in a stream.", "output": "2 - possibly" }, "1298": { "input": "Sentence 1: A bloody man and woman pose for a picture. Sentence 2: A man in woman dressed warmly pose for a picture.", "output": "2 - possibly" }, "1299": { "input": "Sentence 1: two big brown dogs running through the snow. Sentence 2: A brown dog running through the grass.", "output": "2 - possibly" }, "1300": { "input": "Sentence 1: A young boy jumps into a pool with outstretched arms. Sentence 2: A dog jumps into a backyard pool.", "output": "1 - probably not" }, "1301": { "input": "Sentence 1: A girl holds up a yellow balloon animal. Sentence 2: A child holds a yellow balloon.", "output": "4 - almost perfectly" }, "1302": { "input": "Sentence 1: Two dogs share a toy in a field of vegetation. Sentence 2: Two snowboarders are in the air over the snow.", "output": "0 - definitely not" }, "1303": { "input": "Sentence 1: A blond haired lady in white poses for the camera. Sentence 2: A black and white dog runs with its mouth open.", "output": "0 - definitely not" }, "1304": { "input": "Sentence 1: A dog runs through a field chasing a ball. Sentence 2: A child runs through the grass.", "output": "0 - definitely not" }, "1305": { "input": "Sentence 1: Two girls are sitting in front of a statue. Sentence 2: Two blonde girls are sitting next to a statue", "output": "4 - almost perfectly" }, "1306": { "input": "Sentence 1: A girl in orange lights a candle. Sentence 2: A girl in an orange shirt lights candles.", "output": "4 - almost perfectly" }, "1307": { "input": "Sentence 1: A dog shaking off water. Sentence 2: A dog shaking water off.", "output": "5 - perfectly" }, "1308": { "input": "Sentence 1: Young boys running along the pavement. Sentence 2: A black dog running along the edge of the ocean.", "output": "0 - definitely not" }, "1309": { "input": "Sentence 1: A dog is running toward the camera. Sentence 2: A brown and white dog running on grass.", "output": "1 - probably not" }, "1310": { "input": "Sentence 1: a boy swinging on a swing. Sentence 2: The girl is on a swing.", "output": "2 - possibly" }, "1311": { "input": "Sentence 1: A group of youngsters swim in lake water Sentence 2: Many children are playing and swimming in the water.", "output": "4 - almost perfectly" }, "1312": { "input": "Sentence 1: Two large black dogs are playing in a grassy field. Sentence 2: Two white dogs are running together.", "output": "2 - possibly" }, "1313": { "input": "Sentence 1: The brown and black dog sprints across the snow. Sentence 2: A black dog is running quickly along the ground.", "output": "3 - probably" }, "1314": { "input": "Sentence 1: Two skinny young boys playing with sand in the water. Sentence 2: Two dogs are shaking water off.", "output": "0 - definitely not" }, "1315": { "input": "Sentence 1: A small dog runs through an obstacle course. Sentence 2: A small dog jumping over an obstacle.", "output": "4 - almost perfectly" }, "1316": { "input": "Sentence 1: A brown dog running through the woods. Sentence 2: A brown dog runs through the grass.", "output": "3 - probably" }, "1317": { "input": "Sentence 1: Three people racing on ice skates. Sentence 2: Three ice skaters round a corner.", "output": "3 - probably" }, "1318": { "input": "Sentence 1: A brown dog in running on grass. Sentence 2: A brown dog runs through the grass.", "output": "5 - perfectly" }, "1319": { "input": "Sentence 1: A dog bounds across the brown grass. Sentence 2: Two dogs bound across the grass.", "output": "3 - probably" }, "1320": { "input": "Sentence 1: a woman playing with two young boys at a park Sentence 2: A woman and three kids play at a park.", "output": "3 - probably" }, "1321": { "input": "Sentence 1: Three dogs playing in the snow. Sentence 2: The boy is playing in the sand.", "output": "1 - probably not" }, "1322": { "input": "Sentence 1: A dog carries a leash in its mouth. Sentence 2: A fluffy dog carries a black leash in its mouth.", "output": "4 - almost perfectly" }, "1323": { "input": "Sentence 1: A skier is falling into the snow. Sentence 2: A skier is falling face first into the snow.", "output": "4 - almost perfectly" }, "1324": { "input": "Sentence 1: A dog with a red toy in it's mouth. Sentence 2: A brown dog is carrying a stick in its mouth.", "output": "2 - possibly" }, "1325": { "input": "Sentence 1: Two hockey players fighting on the ice. Sentence 2: Two hockey players in a struggle on the ice.", "output": "5 - perfectly" }, "1326": { "input": "Sentence 1: Two dogs running through a field. Sentence 2: Two dogs play in a field.", "output": "4 - almost perfectly" }, "1327": { "input": "Sentence 1: A man in a gray suit locking up a bicycle Sentence 2: A man and a woman standing on a city street.", "output": "0 - definitely not" }, "1328": { "input": "Sentence 1: A dog leaping over a hurdle. Sentence 2: A dog leaps over the hurdle.", "output": "5 - perfectly" }, "1329": { "input": "Sentence 1: Two men are setting up some electronic equpitment Sentence 2: Two dogs are wrestling on the ground in the snow.", "output": "0 - definitely not" }, "1330": { "input": "Sentence 1: Two dogs playing in the snow. Sentence 2: Two black dogs in the snow.", "output": "4 - almost perfectly" }, "1331": { "input": "Sentence 1: a group of old men walking down the street Sentence 2: A couple walking down the street.", "output": "2 - possibly" }, "1332": { "input": "Sentence 1: A black and white dog is running through the field. Sentence 2: A black and white dog is running in the grass.", "output": "5 - perfectly" }, "1333": { "input": "Sentence 1: An elderly woman rides a bicycle along a city street. Sentence 2: An elderly woman walking uphill crossing the street.", "output": "2 - possibly" }, "1334": { "input": "Sentence 1: A young boy is punching a yellow ball. Sentence 2: A small dog jumps over a yellow beam.", "output": "0 - definitely not" }, "1335": { "input": "Sentence 1: A group of young ballerinas are in a dance studio. Sentence 2: A group of young ladies in bikinis.", "output": "1 - probably not" }, "1336": { "input": "Sentence 1: A man and a dog are playing tug of war. Sentence 2: A man dances on a colorful wall.", "output": "0 - definitely not" }, "1337": { "input": "Sentence 1: A white dog runs on a beach. Sentence 2: The white dog is running along the beach.", "output": "5 - perfectly" }, "1338": { "input": "Sentence 1: Six dogs running on the sandy beach. Sentence 2: Six dogs walking beside the beach.", "output": "3 - probably" }, "1339": { "input": "Sentence 1: A man holds on to a handle in the water. Sentence 2: A man is holding onto handles in the air.", "output": "3 - probably" }, "1340": { "input": "Sentence 1: A white dog walking in the snow. Sentence 2: A black and tan dog walking through the snow.", "output": "3 - probably" }, "1341": { "input": "Sentence 1: The white and brown dog runs across the grass. Sentence 2: Three dogs are running on the grass.", "output": "3 - probably" }, "1342": { "input": "Sentence 1: A boy goes down an inflatable slide. Sentence 2: A boy in red slides down an inflatable ride.", "output": "4 - almost perfectly" }, "1343": { "input": "Sentence 1: Three dogs are playing in the water. Sentence 2: Three dogs run in the snow.", "output": "1 - probably not" }, "1344": { "input": "Sentence 1: Two dogs playing in the snow. Sentence 2: Two kids playing with a dog.", "output": "1 - probably not" }, "1345": { "input": "Sentence 1: A girl does a back bend on the beach. Sentence 2: A girl doing a back bend at the beach.", "output": "5 - perfectly" }, "1346": { "input": "Sentence 1: The two dogs are playing fetch in the snow. Sentence 2: Two dogs are playing together in the grass.", "output": "2 - possibly" }, "1347": { "input": "Sentence 1: Two surfers on riding a small wave. Sentence 2: Two surfers perform tricks in the waves.", "output": "4 - almost perfectly" }, "1348": { "input": "Sentence 1: Two people walking on the beach at sunset. Sentence 2: Two people walking along the shore at sunset.", "output": "5 - perfectly" }, "1349": { "input": "Sentence 1: two puppies playing around in the grass Sentence 2: Two dogs are wrestling in the grass.", "output": "4 - almost perfectly" }, "1350": { "input": "Sentence 1: A young girl is sitting on Santa's lap. Sentence 2: A little girl is sitting on Santa's lap", "output": "5 - perfectly" }, "1351": { "input": "Sentence 1: A black and white dog runs with its mouth open. Sentence 2: A black and white dog swims in blue water.", "output": "2 - possibly" }, "1352": { "input": "Sentence 1: A young boy jumping in the air at the beach. Sentence 2: A boy jumping in the air on the beach.", "output": "5 - perfectly" }, "1353": { "input": "Sentence 1: Five men in tuxedos are walking down steps. Sentence 2: Five men in tuxedos walk down a set of steps", "output": "5 - perfectly" }, "1354": { "input": "Sentence 1: A man and dog on a rocky seashore. Sentence 2: Man and dog standing on rocks next to water", "output": "5 - perfectly" }, "1355": { "input": "Sentence 1: Brown dog splashing into the water. Sentence 2: Four dogs splashing in the water", "output": "2 - possibly" }, "1356": { "input": "Sentence 1: Two dogs fighting in the snow. Sentence 2: Two dogs playing in the snow.", "output": "3 - probably" }, "1357": { "input": "Sentence 1: A grey hound is active in a grassy field. Sentence 2: A bunch of bikes racing on a track.", "output": "0 - definitely not" }, "1358": { "input": "Sentence 1: Two people are racing a sidecar motorcycle in the mud. Sentence 2: The dog carrying a long stick in its mouth.", "output": "0 - definitely not" }, "1359": { "input": "Sentence 1: a man plays his white guitar. Sentence 2: a man playing a white guitar and singing as well", "output": "3 - probably" }, "1360": { "input": "Sentence 1: Two shirtless young people playing in the water. Sentence 2: Lots of people play in the water at the beach.", "output": "2 - possibly" }, "1361": { "input": "Sentence 1: Close-up of a hummingbird. Sentence 2: A closeup of a hummingbird flying.", "output": "4 - almost perfectly" }, "1362": { "input": "Sentence 1: Woman in a black dress walking on the street. Sentence 2: A woman watches a dog jump down the stairs.", "output": "1 - probably not" }, "1363": { "input": "Sentence 1: A man and a woman looking at the camera. Sentence 2: A man and a woman laughing.", "output": "2 - possibly" }, "1364": { "input": "Sentence 1: a brown dog running through the dirty muddy grass Sentence 2: The large brown dog is running outside in the dirt.", "output": "4 - almost perfectly" }, "1365": { "input": "Sentence 1: A golden dog is running on the grass. Sentence 2: The large beige dog is running through the grass.", "output": "3 - probably" }, "1366": { "input": "Sentence 1: A dog runs through the grass. Sentence 2: a dog runs across the grass.", "output": "5 - perfectly" }, "1367": { "input": "Sentence 1: Man rowing a boat. Sentence 2: a man doing a trick on skateboard", "output": "0 - definitely not" }, "1368": { "input": "Sentence 1: Three dogs running on a racetrack. Sentence 2: Three dogs round a bend at a racetrack.", "output": "5 - perfectly" }, "1369": { "input": "Sentence 1: A dog running through a forest in the winter time Sentence 2: A dog running through a lot of twigs.", "output": "3 - probably" }, "1370": { "input": "Sentence 1: Many people run in a race on a street. Sentence 2: A puppy running along a street.", "output": "1 - probably not" }, "1371": { "input": "Sentence 1: A dog runs through the grass. Sentence 2: Two dogs run through the brush.", "output": "3 - probably" }, "1372": { "input": "Sentence 1: A dog running across the sand Sentence 2: A dog running through the water.", "output": "3 - probably" }, "1373": { "input": "Sentence 1: The black and white dog is swimming in the river. Sentence 2: A black man and his dog on the beach.", "output": "1 - probably not" }, "1374": { "input": "Sentence 1: The woman is leading a dog through an obstacle course. Sentence 2: Woman leading her small dog through an obstacle course.", "output": "5 - perfectly" }, "1375": { "input": "Sentence 1: Two dogs on the beach. Sentence 2: A dog walks on the beach.", "output": "2 - possibly" }, "1376": { "input": "Sentence 1: A young boy is standing on a gray tiled area. Sentence 2: A young boy is practicing his karate in a gym.", "output": "1 - probably not" }, "1377": { "input": "Sentence 1: Two dogs running down a beach. Sentence 2: two dogs running on the beach", "output": "5 - perfectly" }, "1378": { "input": "Sentence 1: A man climbing a cliff face. Sentence 2: A man climbs a sheer cliff face.", "output": "5 - perfectly" }, "1379": { "input": "Sentence 1: A white and brown dog playing with a black toy. Sentence 2: A white and brown dog is playing tug-o-war.", "output": "3 - probably" }, "1380": { "input": "Sentence 1: A boy plays baseball. Sentence 2: A man is playing baseball.", "output": "3 - probably" }, "1381": { "input": "Sentence 1: A black dog retrieves in the snow. Sentence 2: A skateboarder jumping in the street.", "output": "0 - definitely not" }, "1382": { "input": "Sentence 1: A dog jumping for a Frisbee in the snow. Sentence 2: A dog is jumping in the snow.", "output": "3 - probably" }, "1383": { "input": "Sentence 1: Two brown dogs are biting each other. Sentence 2: Two brown dogs biting each other on sand.", "output": "4 - almost perfectly" }, "1384": { "input": "Sentence 1: A young girl doing a back flip in the water. Sentence 2: a young girl wearing purple running through water", "output": "3 - probably" }, "1385": { "input": "Sentence 1: A black dog is running through the snow. Sentence 2: A black pit bull dog is running through the dirt.", "output": "2 - possibly" }, "1386": { "input": "Sentence 1: A young boy is riding a bike. Sentence 2: A young girl laying on a blue inflatable toy", "output": "0 - definitely not" }, "1387": { "input": "Sentence 1: A black dog running in the snow. Sentence 2: A black dog running on a beach.", "output": "2 - possibly" }, "1388": { "input": "Sentence 1: Three dogs in the snow by a fence. Sentence 2: Two dogs drink water in a lake.", "output": "1 - probably not" }, "1389": { "input": "Sentence 1: Man riding a surfboard on a wave. Sentence 2: A man in black on a surfboard riding a wave.", "output": "4 - almost perfectly" }, "1390": { "input": "Sentence 1: A man riding a motorcycle while wearing a black uniform. Sentence 2: A white motorcycle is being ridden around a race track.", "output": "1 - probably not" }, "1391": { "input": "Sentence 1: a black dog swimming through a river. Sentence 2: a black dog digging through the snow.", "output": "1 - probably not" }, "1392": { "input": "Sentence 1: A man and a woman are smiling. Sentence 2: A man and a woman laughing.", "output": "3 - probably" }, "1393": { "input": "Sentence 1: Two little girls are playing on a trampoline. Sentence 2: Two little boys are playing on a playground.", "output": "1 - probably not" }, "1394": { "input": "Sentence 1: The woman holding a black purse is smoking a cigarette. Sentence 2: A woman with a black bag is smoking a cigarette", "output": "5 - perfectly" }, "1395": { "input": "Sentence 1: A dog is running along the grass. Sentence 2: A brown dog is running in the grass.", "output": "4 - almost perfectly" }, "1396": { "input": "Sentence 1: A man with long hair is looking through a camera. Sentence 2: A woman stands against a wall near a video camera.", "output": "1 - probably not" }, "1397": { "input": "Sentence 1: Brown dog running on grass. Sentence 2: The dog is running on grass.", "output": "4 - almost perfectly" }, "1398": { "input": "Sentence 1: Two people wearing hats sit and look at the camera. Sentence 2: A man wearing a blue shirt makes a grouchy face.", "output": "0 - definitely not" }, "1399": { "input": "Sentence 1: Two girls playing with people and flowers behind them. Sentence 2: Two young girls wearing skirts are playing in a garden.", "output": "3 - probably" }, "1400": { "input": "Sentence 1: Child sliding in the snow. Sentence 2: Man sleeping on the street.", "output": "0 - definitely not" }, "1401": { "input": "Sentence 1: Three dogs are playing in the water. Sentence 2: Three dogs swim in the water.", "output": "4 - almost perfectly" }, "1402": { "input": "Sentence 1: A white dog running on sand. Sentence 2: A white dog runs on the sand.", "output": "5 - perfectly" }, "1403": { "input": "Sentence 1: A dog swims in the water. Sentence 2: Three dogs swim in the water.", "output": "3 - probably" }, "1404": { "input": "Sentence 1: a man walks two dogs on leashes down the street Sentence 2: A man walks two dogs in the city.", "output": "4 - almost perfectly" }, "1405": { "input": "Sentence 1: A dog is running in the snow. Sentence 2: Two dogs running in the dirt", "output": "2 - possibly" }, "1406": { "input": "Sentence 1: A small boy playing in the snow. Sentence 2: The brown and white dog is playing in the snow.", "output": "2 - possibly" }, "1407": { "input": "Sentence 1: a white dog running in the snow Sentence 2: The dogs are running in the snow.", "output": "3 - probably" }, "1408": { "input": "Sentence 1: A group of people sitting around a desk. Sentence 2: A group of girls on a beach.", "output": "1 - probably not" }, "1409": { "input": "Sentence 1: Three dogs are running in a field. Sentence 2: Two dogs are running in a grassy field", "output": "3 - probably" }, "1410": { "input": "Sentence 1: A white dog running through the snow Sentence 2: The black and white dog runs through the grass.", "output": "1 - probably not" }, "1411": { "input": "Sentence 1: A man on a bike nest to a river. Sentence 2: A man on a bike does a very high jump.", "output": "1 - probably not" }, "1412": { "input": "Sentence 1: A skier going down the snowy hill. Sentence 2: A brown dog is laying in the snow.", "output": "0 - definitely not" }, "1413": { "input": "Sentence 1: Two dogs are running on the grass. Sentence 2: Two dogs running in the dirt", "output": "4 - almost perfectly" }, "1414": { "input": "Sentence 1: A bird sits in a tree. Sentence 2: A bird sits in a leafless tree.", "output": "4 - almost perfectly" }, "1415": { "input": "Sentence 1: A brown dog chews on an orange ball. Sentence 2: A dog has an orange ball in its mouth.", "output": "4 - almost perfectly" }, "1416": { "input": "Sentence 1: A dog in the snow. Sentence 2: Two dogs in snow.", "output": "3 - probably" }, "1417": { "input": "Sentence 1: Dalmation running along the beach. Sentence 2: A Dalmation runs along a beach.", "output": "5 - perfectly" }, "1418": { "input": "Sentence 1: A dog running through snow. Sentence 2: A dog runs in the snow.", "output": "5 - perfectly" }, "1419": { "input": "Sentence 1: Four black dogs run across the grass. Sentence 2: A dog runs across the grassy field.", "output": "2 - possibly" }, "1420": { "input": "Sentence 1: A brown dog is walking on the grass. Sentence 2: A dog chases another by a tree.", "output": "1 - probably not" }, "1421": { "input": "Sentence 1: The beagle is walking on the beach at the waterline. Sentence 2: A beagle walks along the calm shore.", "output": "4 - almost perfectly" }, "1422": { "input": "Sentence 1: The black and white dog runs through the grass. Sentence 2: A black and white dog is running through grass.", "output": "5 - perfectly" }, "1423": { "input": "Sentence 1: A little boy clowns with a colander on his head. Sentence 2: A boy with a metal colander on his head.", "output": "4 - almost perfectly" }, "1424": { "input": "Sentence 1: Two constructions workers sit on a beam taking a break. Sentence 2: The man is putting on his shirt near an elevator.", "output": "0 - definitely not" }, "1425": { "input": "Sentence 1: A man and a woman laughing. Sentence 2: A man and a woman kiss.", "output": "1 - probably not" }, "1426": { "input": "Sentence 1: A black, brown and white dog running through a field. Sentence 2: A white and brown dog runs in a field.", "output": "3 - probably" }, "1427": { "input": "Sentence 1: Two kids splashing in the water. Sentence 2: Two dogs play together on the bed.", "output": "0 - definitely not" }, "1428": { "input": "Sentence 1: A woman reads while on public transportation. Sentence 2: A man who has fallen asleep on public transportation.", "output": "2 - possibly" }, "1429": { "input": "Sentence 1: A dog jumps in midair to catch a Frisbee. Sentence 2: The brown dog jumps for a pink Frisbee.", "output": "4 - almost perfectly" }, "1430": { "input": "Sentence 1: The dog returns the play toy to its master. Sentence 2: Three dogs race in the snow together.", "output": "1 - probably not" }, "1431": { "input": "Sentence 1: Two females jump off of swings. Sentence 2: Two girls jump out of swings.", "output": "5 - perfectly" }, "1432": { "input": "Sentence 1: A shirtless man playing football on a lawn. Sentence 2: A shirtless man catches a football", "output": "4 - almost perfectly" }, "1433": { "input": "Sentence 1: A boy jumps into a not-so-crowded public pool. Sentence 2: A man jumps while on a snowboard.", "output": "1 - probably not" }, "1434": { "input": "Sentence 1: Four kids holding hands jump into a swimming pool. Sentence 2: Four dogs playing in the snow.", "output": "0 - definitely not" }, "1435": { "input": "Sentence 1: The black dog is walking through the tall grass. Sentence 2: The black dog is running through the grass.", "output": "4 - almost perfectly" }, "1436": { "input": "Sentence 1: Two black dogs playing in the snow. Sentence 2: A black dog digs in the snow.", "output": "3 - probably" }, "1437": { "input": "Sentence 1: A dog jumps over a chain. Sentence 2: A dog leaping over a chain.", "output": "5 - perfectly" }, "1438": { "input": "Sentence 1: Three children in a ball pit. Sentence 2: Several children playing in a ball pit.", "output": "3 - probably" }, "1439": { "input": "Sentence 1: A swimmer is doing the backstroke in the swimming pool. Sentence 2: a person doing the back stroke in a swimming pool", "output": "5 - perfectly" }, "1440": { "input": "Sentence 1: A brown dog is running through green grass. Sentence 2: A brown dog is running though a river.", "output": "2 - possibly" }, "1441": { "input": "Sentence 1: A black dog walking through water. Sentence 2: Two black dogs walking through the snow.", "output": "2 - possibly" }, "1442": { "input": "Sentence 1: Two homeless men stand outside with a cardboard sign. Sentence 2: Two homeless young men holding a cardboard sign.", "output": "5 - perfectly" }, "1443": { "input": "Sentence 1: A brown dog wades in the water. Sentence 2: A dog splashes in the murky water.", "output": "4 - almost perfectly" }, "1444": { "input": "Sentence 1: A person on a snowmobile. Sentence 2: A person on a snowmobile in mid jump.", "output": "4 - almost perfectly" }, "1445": { "input": "Sentence 1: Two brown dogs running together on sand Sentence 2: Two brown dogs are running on the sand.", "output": "5 - perfectly" }, "1446": { "input": "Sentence 1: A black dog is chasing after a red Frisbee. Sentence 2: A black poodle is running in the snow.", "output": "1 - probably not" }, "1447": { "input": "Sentence 1: A dog digging in the sand. Sentence 2: A brown dog digs in the sand.", "output": "4 - almost perfectly" }, "1448": { "input": "Sentence 1: A person on a bmx bike. Sentence 2: A man on a bike in mid-air", "output": "3 - probably" }, "1449": { "input": "Sentence 1: Two dogs running through tall grass. Sentence 2: Two dogs are running through a grassy area.", "output": "5 - perfectly" }, "1450": { "input": "Sentence 1: A group of people standing outside of a building. Sentence 2: A large group of people have formed a line outside.", "output": "3 - probably" }, "1451": { "input": "Sentence 1: A group of four children dancing in a backyard. Sentence 2: A group of children do stretches on colored mats.", "output": "2 - possibly" }, "1452": { "input": "Sentence 1: One man and two women dressed in vampire costumes Sentence 2: A man and two women dressed in costumes.", "output": "3 - probably" }, "1453": { "input": "Sentence 1: Two boys, one wearing a hat, in a playground. Sentence 2: Boy in tan hat laughs while sitting near playground equipment.", "output": "2 - possibly" }, "1454": { "input": "Sentence 1: Two dogs playing in snow. Sentence 2: Two dogs play in the snow.", "output": "5 - perfectly" }, "1455": { "input": "Sentence 1: A white fluffy dog is running in pure white snow. Sentence 2: A fluffy, white dog running in the snow.", "output": "5 - perfectly" }, "1456": { "input": "Sentence 1: A woman holding a newspaper. Sentence 2: A man rollerblading on a metal bar.", "output": "0 - definitely not" }, "1457": { "input": "Sentence 1: A group of men playing brass instruments. Sentence 2: A group of guys play instruments outside.", "output": "3 - probably" }, "1458": { "input": "Sentence 1: a snowboarder jumps into the air. Sentence 2: A snowboarder flies through the air.", "output": "4 - almost perfectly" }, "1459": { "input": "Sentence 1: Kids play soccer on a field. Sentence 2: Three boys playing soccer in a field", "output": "4 - almost perfectly" }, "1460": { "input": "Sentence 1: A man jumps off of one rooftop onto another. Sentence 2: A young man jumps from one balcony to another.", "output": "3 - probably" }, "1461": { "input": "Sentence 1: A brown furry animal stands behind some plants. Sentence 2: A dog pants while standing in the woods.", "output": "1 - probably not" }, "1462": { "input": "Sentence 1: The tan and white dog is running in the field. Sentence 2: The brown and white dogs run through the field.", "output": "3 - probably" }, "1463": { "input": "Sentence 1: Two teenage girls, one is smiling. Sentence 2: A little girl on a kid swing.", "output": "1 - probably not" }, "1464": { "input": "Sentence 1: Two birds interacting in the grass Sentence 2: Two dogs play with each other outdoors.", "output": "0 - definitely not" }, "1465": { "input": "Sentence 1: Two children in a field of red flowers. Sentence 2: Two kids are playing in a field of red flowers.", "output": "5 - perfectly" }, "1466": { "input": "Sentence 1: A small black dog is in the grass. Sentence 2: A black dog is running in the grass.", "output": "4 - almost perfectly" }, "1467": { "input": "Sentence 1: Children play fight with swords. Sentence 2: A child and parent pet a horse.", "output": "0 - definitely not" }, "1468": { "input": "Sentence 1: A man is wind sailing in the ocean. Sentence 2: A dog is running through the ocean.", "output": "1 - probably not" }, "1469": { "input": "Sentence 1: Three dogs racing on a dirt track Sentence 2: Cars racing on a dirt track", "output": "1 - probably not" }, "1470": { "input": "Sentence 1: Two people holding hands and walking in a field. Sentence 2: Two men walking past a mural of a car.", "output": "1 - probably not" }, "1471": { "input": "Sentence 1: A brown dog chases a Frisbee Sentence 2: A brown dog squating on grass.", "output": "2 - possibly" }, "1472": { "input": "Sentence 1: Woman in red overalls standing on the sidewalk. Sentence 2: A woman in red overalls stands on sidewalk.", "output": "5 - perfectly" }, "1473": { "input": "Sentence 1: A dog is running through a backyard full of leaves. Sentence 2: Three dogs run through a field.", "output": "3 - probably" }, "1474": { "input": "Sentence 1: two puppies playing around in the grass Sentence 2: Two puppies play in the grass", "output": "5 - perfectly" }, "1475": { "input": "Sentence 1: Three dogs running through water. Sentence 2: A black dog running through water.", "output": "1 - probably not" }, "1476": { "input": "Sentence 1: A woman sits alone against a brick wall Sentence 2: A woman is walking with a red bag.", "output": "1 - probably not" }, "1477": { "input": "Sentence 1: A brown dog carrying a stick in its mouth. Sentence 2: A dog swimming with a stick in its mouth.", "output": "3 - probably" }, "1478": { "input": "Sentence 1: A young woman leans over her plate at a meal. Sentence 2: A young woman, topless except for paint or mud.", "output": "1 - probably not" }, "1479": { "input": "Sentence 1: A brown dog sits on the beach. Sentence 2: A dog running on the beach", "output": "2 - possibly" }, "1480": { "input": "Sentence 1: Scuba diver submerged in water. Sentence 2: The scuba diver is underwater.", "output": "5 - perfectly" }, "1481": { "input": "Sentence 1: The man is riding a bike down a dirt hill. Sentence 2: A trick bicyclist grinds down a handrail.", "output": "2 - possibly" }, "1482": { "input": "Sentence 1: A large gray dog is playing in the deep snow. Sentence 2: Four dogs playing in the snow.", "output": "3 - probably" }, "1483": { "input": "Sentence 1: A dog in in a car. Sentence 2: A dog is biting a mop.", "output": "1 - probably not" }, "1484": { "input": "Sentence 1: A black and white dog is running on the beach. Sentence 2: The black and brown dog is running through the snow.", "output": "2 - possibly" }, "1485": { "input": "Sentence 1: Person with two ski poles skiing down a snowy hill. Sentence 2: A person skiing down a snowy hill.", "output": "4 - almost perfectly" }, "1486": { "input": "Sentence 1: A woman is eating fish at a restaurant. Sentence 2: A woman eating a large fish in a restaurant.", "output": "5 - perfectly" }, "1487": { "input": "Sentence 1: A skateboarder doing a trick on a stone wall. Sentence 2: A skateboarder riding up to a slope.", "output": "2 - possibly" }, "1488": { "input": "Sentence 1: People are standing on an escalator moving up. Sentence 2: People ride up an escalator.", "output": "5 - perfectly" }, "1489": { "input": "Sentence 1: A lady is running her dog through an agility course. Sentence 2: Trainer runs her dog through training course with green pipe", "output": "4 - almost perfectly" }, "1490": { "input": "Sentence 1: The white and brown dog is shaking its ears. Sentence 2: The brown dog is running across the sand.", "output": "1 - probably not" }, "1491": { "input": "Sentence 1: Some children are raising their hands and clapping. Sentence 2: Three children are playing soccer in the sand.", "output": "0 - definitely not" }, "1492": { "input": "Sentence 1: A man blowing a large bubble. Sentence 2: A man walking a large black horse.", "output": "0 - definitely not" }, "1493": { "input": "Sentence 1: A dog running along the beach. Sentence 2: Boy and girl running along the beach.", "output": "1 - probably not" }, "1494": { "input": "Sentence 1: A black dog is running in the grass. Sentence 2: A black and a brown dog running in the grass.", "output": "3 - probably" }, "1495": { "input": "Sentence 1: Three dogs play in a grassy field. Sentence 2: Some kids play in a field.", "output": "1 - probably not" }, "1496": { "input": "Sentence 1: A young boy plays in a red ball pit. Sentence 2: A laughing boy lies on a pit of blue balls.", "output": "3 - probably" }, "1497": { "input": "Sentence 1: A surfer on a wave. Sentence 2: A surfer is riding a wave.", "output": "4 - almost perfectly" }, "1498": { "input": "Sentence 1: The skateboarder gets to the top of the ramp. Sentence 2: The skateboarder rides the pipe wall at a skater park.", "output": "2 - possibly" }, "1499": { "input": "Sentence 1: Two men in a running contest. Sentence 2: Dogs in a race.", "output": "1 - probably not" }, "1500": { "input": "Sentence 1: Two kids are walking on a path in the woods. Sentence 2: Two children walking down a path in the woods.", "output": "5 - perfectly" }, "1501": { "input": "Sentence 1: a brown and white dog is running on the grass. Sentence 2: The tan and black dog is running across the grass.", "output": "3 - probably" }, "1502": { "input": "Sentence 1: Two dogs run side-by-side on the grass. Sentence 2: Two dogs running on grass.", "output": "4 - almost perfectly" }, "1503": { "input": "Sentence 1: Two dogs are peeing at a red fire hydrant. Sentence 2: Two dogs are urinating on the red fire hydrant.", "output": "5 - perfectly" }, "1504": { "input": "Sentence 1: A dog splashing in the water. Sentence 2: A dog splashes in the murky water.", "output": "4 - almost perfectly" }, "1505": { "input": "Sentence 1: Girl stands in subway waiting on something. Sentence 2: A girl stands in a dimly lit area.", "output": "2 - possibly" }, "1506": { "input": "Sentence 1: A group of people in boats racing towards the shore. Sentence 2: A classroom of students watching a presentation.", "output": "0 - definitely not" }, "1507": { "input": "Sentence 1: A boy skateboards down the metal handrail at night. Sentence 2: A brown dog runs on the sand, holding a stick.", "output": "0 - definitely not" }, "1508": { "input": "Sentence 1: A baseball player throws the ball. Sentence 2: The basketball player holds the ball.", "output": "2 - possibly" }, "1509": { "input": "Sentence 1: go figure You're asking me to prove a negative? Sentence 2: You're asking me to prove a negative?", "output": "5 - perfectly" }, "1510": { "input": "Sentence 1: I am OK with MEDICAL use! Sentence 2: I AM OK WITH MEDICAL USE!!", "output": "5 - perfectly" }, "1511": { "input": "Sentence 1: War in the middle east. Sentence 2: A WAR in the middle east.", "output": "5 - perfectly" }, "1512": { "input": "Sentence 1: Originally Posted by Vienna How was it authoritarian? Sentence 2: Originally Posted by zaf I give up.", "output": "1 - probably not" }, "1513": { "input": "Sentence 1: Imagine a place that's % white and % black. Sentence 2: Imagine a place with % men and % women.", "output": "1 - probably not" }, "1514": { "input": "Sentence 1: There's no chance of a fair trial. Sentence 2: there is no chance at a fair trial.", "output": "5 - perfectly" }, "1515": { "input": "Sentence 1: Nirvana is very different than oblivion. Sentence 2: Nirvana is NOT oblivion.", "output": "4 - almost perfectly" }, "1516": { "input": "Sentence 1: The whole earth combined produces enough food for billion people. Sentence 2: Who does it now only produce enough for billion?", "output": "2 - possibly" }, "1517": { "input": "Sentence 1: BTW he had appropriate deferments for the time. Sentence 2: Appropriate deferments for the time, eh?", "output": "3 - probably" }, "1518": { "input": "Sentence 1: Hey, Blue-Eyes, How's things in London? Sentence 2: **smooches Ran** Hey, Blue-Eyes, How's things in London?", "output": "4 - almost perfectly" }, "1519": { "input": "Sentence 1: According to the girlfriend and Zimmerman, he did. Sentence 2: According to Zimmerman he did.", "output": "2 - possibly" }, "1520": { "input": "Sentence 1: My parents have told me it is bad for you. Sentence 2: My teachers have told me it is bad for you.", "output": "3 - probably" }, "1521": { "input": "Sentence 1: I oppose the death penalty. Sentence 2: This is why I support the death penalty.", "output": "1 - probably not" }, "1522": { "input": "Sentence 1: Well, whatever, you are now. Sentence 2: Well, whatever, you're aware of it now.", "output": "2 - possibly" }, "1523": { "input": "Sentence 1: DICKSHOT Matt Holliday owns. Sentence 2: Matt Holliday owns, y'all.", "output": "4 - almost perfectly" }, "1524": { "input": "Sentence 1: People exploited the laws. Sentence 2: People bent the laws.", "output": "3 - probably" }, "1525": { "input": "Sentence 1: Funny, I thought the same thing about some math. Sentence 2: And here I thought I knew me some math.", "output": "2 - possibly" }, "1526": { "input": "Sentence 1: It still makes no sense. Sentence 2: It's you who makes no sense.", "output": "1 - probably not" }, "1527": { "input": "Sentence 1: More expensive homes. Sentence 2: More expensive cars.", "output": "1 - probably not" }, "1528": { "input": "Sentence 1: Martin said, \"Why are you following me?\" Sentence 2: Zimmerman replied, \"What are you doing here?\"", "output": "1 - probably not" }, "1529": { "input": "Sentence 1: Fairies don't exist - fine. Sentence 2: Satyrs don't exist - fine.", "output": "1 - probably not" }, "1530": { "input": "Sentence 1: You wanna know what I find curious? Sentence 2: That's what I find curious.", "output": "3 - probably" }, "1531": { "input": "Sentence 1: When did I compare homo sexuaity with a developmental disorder? Sentence 2: I compared homo phobia with a developmental disorder.", "output": "3 - probably" }, "1532": { "input": "Sentence 1: You didn't mention PFA before that one post. Sentence 2: I didn't mention restraining order either.", "output": "1 - probably not" }, "1533": { "input": "Sentence 1: from the year prior. Sentence 2: warmed.C from the year prior.", "output": "3 - probably" }, "1534": { "input": "Sentence 1: Still love this show. Sentence 2: Holy poo poo, this show.", "output": "1 - probably not" }, "1535": { "input": "Sentence 1: their vast properties are protected by the govt. Sentence 2: their great wealth is protected by the govt.", "output": "3 - probably" }, "1536": { "input": "Sentence 1: Fundimental difference, please? Sentence 2: Fundamental difference?", "output": "5 - perfectly" }, "1537": { "input": "Sentence 1: I'm not outraged, I'm disappointed. Sentence 2: God bless I'm not outraged, I'm disappointed.", "output": "5 - perfectly" }, "1538": { "input": "Sentence 1: We never got out of it in the first place! Sentence 2: Where does the money come from in the first place?", "output": "1 - probably not" }, "1539": { "input": "Sentence 1: My parents have told me it is bad for you. Sentence 2: My teachers have told me it is bad for you.", "output": "3 - probably" }, "1540": { "input": "Sentence 1: It's not imposing morals. Sentence 2: It's imposing a law.", "output": "1 - probably not" }, "1541": { "input": "Sentence 1: It depends how you define extreme. Sentence 2: Depends on how you define \"extreme\".", "output": "5 - perfectly" }, "1542": { "input": "Sentence 1: At least Mexico had a presence in California. Sentence 2: Mexico has ZERO claim to California.", "output": "1 - probably not" }, "1543": { "input": "Sentence 1: Ah ha, ha, ha, ha, ha! Sentence 2: Ha, ha, ha, ha, ha, ha!", "output": "4 - almost perfectly" }, "1544": { "input": "Sentence 1: You mean, you believe the word of the Mainstream Media? Sentence 2: You mean, you believe the word of the SpringHallConvert?", "output": "2 - possibly" }, "1545": { "input": "Sentence 1: We are meant to explore. Sentence 2: We are meant to move.", "output": "2 - possibly" }, "1546": { "input": "Sentence 1: Israel doesn't give a ****, accept it. Sentence 2: That Israel doesn't giva a **** what anybody else thinks.", "output": "3 - probably" }, "1547": { "input": "Sentence 1: Slutstamp! A dear friend from Ohio sent me this. Sentence 2: A dear friend from Ohio sent me this.", "output": "4 - almost perfectly" }, "1548": { "input": "Sentence 1: Can he really make mone from google ad sense. Sentence 2: Who makes money off google ad sense?", "output": "3 - probably" }, "1549": { "input": "Sentence 1: Warm , maybe record. Sentence 2: Warmer , almost certainly a record.", "output": "4 - almost perfectly" }, "1550": { "input": "Sentence 1: Bright but scatterbrained becomes \"treat with drugs\". Sentence 2: Opinionated and stubborn becomes treat with drugs\".", "output": "2 - possibly" }, "1551": { "input": "Sentence 1: What is your definition of \"life\"? Sentence 2: What's your definition of nature?", "output": "1 - probably not" }, "1552": { "input": "Sentence 1: Could be a lot of things. Sentence 2: Could be a simple mistake.", "output": "2 - possibly" }, "1553": { "input": "Sentence 1: Dr. Neander's revised version. Sentence 2: Neander's revised version\"?", "output": "4 - almost perfectly" }, "1554": { "input": "Sentence 1: I. ATLANTIC REQUIREMENTS . Sentence 2: PACIFIC REQUIREMENTS .", "output": "1 - probably not" }, "1555": { "input": "Sentence 1: you have no remains of a missile at the pentagon. Sentence 2: you have no witnesses for a missile at the pentagon.", "output": "3 - probably" }, "1556": { "input": "Sentence 1: any woman that wants birth control can get it. Sentence 2: Any woman that wants and abortion can get one.", "output": "2 - possibly" }, "1557": { "input": "Sentence 1: Is it legal to grow? Sentence 2: Yes, it's legal to grow.", "output": "3 - probably" }, "1558": { "input": "Sentence 1: pressing one does not \"do\" english. Sentence 2: Pressing one does send a tone.", "output": "2 - possibly" }, "1559": { "input": "Sentence 1: What's my opinion regarding the series? Sentence 2: What was my opinion of Firefly in the interim?", "output": "3 - probably" }, "1560": { "input": "Sentence 1: We are all vessels filled with many wonders. Sentence 2: Chuck Close We are all vessels filled with many wonders.", "output": "4 - almost perfectly" }, "1561": { "input": "Sentence 1: Does he have supporters? Sentence 2: He definently has supporters.", "output": "2 - possibly" }, "1562": { "input": "Sentence 1: but okay, ultimate sovereignty? Sentence 2: Thus, ultimate sovereignty.", "output": "2 - possibly" }, "1563": { "input": "Sentence 1: that is not an answer. Sentence 2: no, it's not an answer.", "output": "5 - perfectly" }, "1564": { "input": "Sentence 1: But we can't do it without help. Sentence 2: We can't do it without you.\"", "output": "4 - almost perfectly" }, "1565": { "input": "Sentence 1: No healthy person needs gambling. Sentence 2: No healthy person needs sex.", "output": "1 - probably not" }, "1566": { "input": "Sentence 1: I said it wasn't a person, in the legal sense. Sentence 2: If it isn't a person, then WTF is it?", "output": "2 - possibly" }, "1567": { "input": "Sentence 1: Do you see Obama calling for regulation reform? Sentence 2: Do you see Obama calling for Cut, Cap and Balance?", "output": "2 - possibly" }, "1568": { "input": "Sentence 1: Leprechauns don't exist - fine. Sentence 2: Elves don't exist - fine.", "output": "3 - probably" }, "1569": { "input": "Sentence 1: Gorgons don't exist - fine. Sentence 2: Satyrs don't exist - fine.", "output": "2 - possibly" }, "1570": { "input": "Sentence 1: Dutchy Has anyone heard from Dutchy? Sentence 2: @NickFun, Has anyone heard from Dutchy?", "output": "4 - almost perfectly" }, "1571": { "input": "Sentence 1: Commodity Expanded Value-Form, . Sentence 2: Elementary Commodity-Capital Value-Form .", "output": "4 - almost perfectly" }, "1572": { "input": "Sentence 1: You are a Christian. Sentence 2: Therefore you are not a Christian.", "output": "1 - probably not" }, "1573": { "input": "Sentence 1: And the simple fact today? Sentence 2: I repeat: And the simple fact today?", "output": "4 - almost perfectly" }, "1574": { "input": "Sentence 1: Morals have absolutely nothing to do with it ! Sentence 2: and morals and honesty have everything to do with it.", "output": "2 - possibly" }, "1575": { "input": "Sentence 1: Fern I think stories like this are stupid. Sentence 2: - wolf I think stories like this are stupid.", "output": "4 - almost perfectly" }, "1576": { "input": "Sentence 1: CYCLONE FORMATION IS NOT EXPECTED DURING THE NEXT HOURS. Sentence 2: TROPICAL CYCLONE FORMATION IS NOT EXPECTED.", "output": "3 - probably" }, "1577": { "input": "Sentence 1: Do you not understand what that string of words means? Sentence 2: Do you not understand what the word 'led' implies?", "output": "1 - probably not" }, "1578": { "input": "Sentence 1: There is no freedom of religion. Sentence 2: There is no freedom of speech.", "output": "1 - probably not" }, "1579": { "input": "Sentence 1: A man and a woman are different yes. Sentence 2: Men and women are different yes?", "output": "3 - probably" }, "1580": { "input": "Sentence 1: Double Jeopardy actually enforces a jury nullification. Sentence 2: As far as legality goes I can use jury nullification.", "output": "2 - possibly" }, "1581": { "input": "Sentence 1: Facilitator : Show me the smart child. Sentence 2: Facilitator : And why is she the dumb child?", "output": "1 - probably not" }, "1582": { "input": "Sentence 1: religious fiction Isn't that redundant and repetetive? Sentence 2: Isn't that redundant and repetetive?", "output": "3 - probably" }, "1583": { "input": "Sentence 1: Originally Posted by anabelle What's wrong with that? Sentence 2: Originally Posted by Vienna To 'say' what?", "output": "0 - definitely not" }, "1584": { "input": "Sentence 1: loose change started out as a work of fiction. Sentence 2: It finished as a work of fiction.", "output": "2 - possibly" }, "1585": { "input": "Sentence 1: GL, Terral That is absolutely amazing. Sentence 2: Hi Ollie: That is absolutely amazing.", "output": "2 - possibly" }, "1586": { "input": "Sentence 1: lets assume we have % white and % black. Sentence 2: Imagine a place that's % white and % black.", "output": "4 - almost perfectly" }, "1587": { "input": "Sentence 1: Fairies don't exist - fine. Sentence 2: Leprechauns don't exist - fine.", "output": "1 - probably not" }, "1588": { "input": "Sentence 1: If so, state that is why they're not true. Sentence 2: Please, what about them are not true.", "output": "3 - probably" }, "1589": { "input": "Sentence 1: My niece is married to a black man. Sentence 2: My great niece is half black.", "output": "1 - probably not" }, "1590": { "input": "Sentence 1: The UK population is just over million. Sentence 2: The Japanese population is nearly million.", "output": "1 - probably not" }, "1591": { "input": "Sentence 1: I hope this is nothing. Sentence 2: I hope everything is ok!", "output": "2 - possibly" }, "1592": { "input": "Sentence 1: What isn't how what was sold? Sentence 2: It's not how it was sold, gb.", "output": "2 - possibly" }, "1593": { "input": "Sentence 1: I know I'd hate to be him. Sentence 2: I'd hate to be him too.", "output": "4 - almost perfectly" }, "1594": { "input": "Sentence 1: there were no weapons. Sentence 2: Of course there were no weapons.", "output": "5 - perfectly" }, "1595": { "input": "Sentence 1: It's so stupid that it just has to be true. Sentence 2: It's amusing to think it even might be true.", "output": "3 - probably" }, "1596": { "input": "Sentence 1: Personal responsibility much? Sentence 2: Again, personal responsibility.", "output": "4 - almost perfectly" }, "1597": { "input": "Sentence 1: How is this slanted against Bush?? Sentence 2: Where is the slant against Bush?", "output": "4 - almost perfectly" }, "1598": { "input": "Sentence 1: I've never accused him of over-milligraming, nothing. Sentence 2: I've never accused him of doctoring a baseball.", "output": "0 - definitely not" }, "1599": { "input": "Sentence 1: The bailout was bigger than TARP Bloomberg news. Sentence 2: The bailout was bigger than TARP This title is misleading.", "output": "4 - almost perfectly" }, "1600": { "input": "Sentence 1: My parents have told me it is bad for you. Sentence 2: officers have told me its bad for you.", "output": "2 - possibly" }, "1601": { "input": "Sentence 1: I. ATLANTIC REQUIREMENTS . Sentence 2: PACIFIC REQUIREMENTS .", "output": "1 - probably not" }, "1602": { "input": "Sentence 1: Read More: You have never met anyone that is Pro-Abortion? Sentence 2: You have never met anyone that is Pro-Abortion?", "output": "5 - perfectly" }, "1603": { "input": "Sentence 1: Nixon, Ford and Carter shut down the oilfields? Sentence 2: No has has shut down the oil fields.", "output": "2 - possibly" }, "1604": { "input": "Sentence 1: i don't want a president who 'cares'. Sentence 2: i don't want a president who is charasmatic.", "output": "1 - probably not" }, "1605": { "input": "Sentence 1: It doesn't have to be braindead. Sentence 2: I don't have a proposed model.", "output": "0 - definitely not" }, "1606": { "input": "Sentence 1: no missile evidence. Sentence 2: no missile witnesses.", "output": "3 - probably" }, "1607": { "input": "Sentence 1: My teachers have told me it is bad for you. Sentence 2: officers have told me its bad for you.", "output": "2 - possibly" }, "1608": { "input": "Sentence 1: My gosh, I'm the one with the pregnancy ticker. Sentence 2: I have the pregnancy ticker.", "output": "4 - almost perfectly" }, "1609": { "input": "Sentence 1: Then he is not omnipotent. Sentence 2: Then he is malevolent.", "output": "1 - probably not" }, "1610": { "input": "Sentence 1: ALL of the electrical energy comes from the battery. Sentence 2: ALL of the electrical energy ultimately comes from the alternator.", "output": "2 - possibly" }, "1611": { "input": "Sentence 1: Imagine a place with % men and % women. Sentence 2: Imagine a place that's % white and % black.", "output": "2 - possibly" }, "1612": { "input": "Sentence 1: Out of touch and completely untrustworthy, however, wouldn't. Sentence 2: Out of touch and untrustworthy?", "output": "4 - almost perfectly" }, "1613": { "input": "Sentence 1: It is mostly just the Dutch. Sentence 2: In fact, it's just the Dutch.", "output": "4 - almost perfectly" }, "1614": { "input": "Sentence 1: claims about trayvon's character And when did I do that? Sentence 2: slanted blogs And when did I do that?", "output": "3 - probably" }, "1615": { "input": "Sentence 1: Why did that transaction take place. Sentence 2: Did the transaction take place?", "output": "2 - possibly" }, "1616": { "input": "Sentence 1: There is no more egg cell post-fertilization. Sentence 2: There is no more sperm cell.", "output": "2 - possibly" }, "1617": { "input": "Sentence 1: Lacey - welcome back! Sentence 2: Anyway, welcome back.", "output": "4 - almost perfectly" }, "1618": { "input": "Sentence 1: If you haven't made any claims, then just say so. Sentence 2: I haven't made any claims.", "output": "2 - possibly" }, "1619": { "input": "Sentence 1: No Thatcherite can ever call themselves a libertarian. Sentence 2: Ergo it offends me when Thatcherites call themselves libertarian.", "output": "2 - possibly" }, "1620": { "input": "Sentence 1: the problem isn't who has money. Sentence 2: the problem is who doesn't have money.", "output": "2 - possibly" }, "1621": { "input": "Sentence 1: If so, alot of cops should take presciption drugs. Sentence 2: If so, alot of inventors, writers should take prescription drugs..", "output": "2 - possibly" }, "1622": { "input": "Sentence 1: Tell us what the charges were. Sentence 2: Yes what are his charges.", "output": "4 - almost perfectly" }, "1623": { "input": "Sentence 1: Those are partial psychopaths. Sentence 2: Was Ted Bundy a partial psychopath?", "output": "2 - possibly" }, "1624": { "input": "Sentence 1: this is NOT a war deployment. Sentence 2: its not an official deployment.", "output": "2 - possibly" }, "1625": { "input": "Sentence 1: Alright just got in. Sentence 2: not well Alright just got in.", "output": "4 - almost perfectly" }, "1626": { "input": "Sentence 1: That's not the Moloch scene, though. Sentence 2: This is the Moloch scene.", "output": "2 - possibly" }, "1627": { "input": "Sentence 1: @Lustig Andrei, So Lyndon Johnson and John Kennedy were compatible? Sentence 2: @edgarblythe, So Lyndon Johnson and John Kennedy were compatible?", "output": "4 - almost perfectly" }, "1628": { "input": "Sentence 1: You need to make up your mind. Sentence 2: You need to polish up on your logic skills.", "output": "1 - probably not" }, "1629": { "input": "Sentence 1: The argument was \"Albert Einstein didn't go to college\". Sentence 2: OMG, \"Einstein didn't go to college.\"", "output": "4 - almost perfectly" }, "1630": { "input": "Sentence 1: Capital gains, top rate: percent. Sentence 2: Income tax, top rate: percent.", "output": "2 - possibly" }, "1631": { "input": "Sentence 1: Bienging is unaccptable. Sentence 2: Being drunk is unacceptable.", "output": "1 - probably not" }, "1632": { "input": "Sentence 1: It wouldn't stop joke marriages. Sentence 2: And I don't fight for marriage.", "output": "1 - probably not" }, "1633": { "input": "Sentence 1: If they were Jews, I would call them Jews. Sentence 2: If they were Catholics, I would call them Catholics.", "output": "2 - possibly" }, "1634": { "input": "Sentence 1: She was a great lady. Sentence 2: She was a nice lady.", "output": "4 - almost perfectly" }, "1635": { "input": "Sentence 1: He's not wealthy because he's successful. Sentence 2: Why hate people because they are successful?", "output": "1 - probably not" }, "1636": { "input": "Sentence 1: Not as irritated as you. Sentence 2: You seem as irritated as Henry.", "output": "2 - possibly" }, "1637": { "input": "Sentence 1: It's a common sense/deductive reasoning thing. Sentence 2: Hilited your common sense/deductive reasoning thing.", "output": "2 - possibly" }, "1638": { "input": "Sentence 1: I didn't say we had gotten soft since / Rand. Sentence 2: I said YOU had gotten soft.", "output": "1 - probably not" }, "1639": { "input": "Sentence 1: Despicable Ben, Stop trying to find excuses for the man. Sentence 2: Ben, Stop trying to find excuses for the man.", "output": "4 - almost perfectly" }, "1640": { "input": "Sentence 1: The new study does not support your claim. Sentence 2: The physical evidence does not support your claim.", "output": "2 - possibly" }, "1641": { "input": "Sentence 1: He said at EVERY level. Sentence 2: But he said EVERY level.", "output": "5 - perfectly" }, "1642": { "input": "Sentence 1: I thought that was mostly just the Dutch. Sentence 2: It is mostly just the Dutch.", "output": "4 - almost perfectly" }, "1643": { "input": "Sentence 1: Let's let this play out in court. Sentence 2: Nothing is stopping this thing from playing out in court.", "output": "4 - almost perfectly" }, "1644": { "input": "Sentence 1: Being in a gang isnt a crime. Sentence 2: Commiting a crime in a gang is a crime.", "output": "2 - possibly" }, "1645": { "input": "Sentence 1: I'd offer Iran a deal. Sentence 2: Chuck I'd offer Iran a deal.", "output": "4 - almost perfectly" }, "1646": { "input": "Sentence 1: Yes, they are both different. Sentence 2: Opinions are different.", "output": "1 - probably not" }, "1647": { "input": "Sentence 1: It's not imposing morals. Sentence 2: It's imposing a law.", "output": "1 - probably not" }, "1648": { "input": "Sentence 1: PURE COMMUNISM: You have two cows. Sentence 2: LIBERTARIAN/ANARCHO-CAPITALISM: You have two cows.", "output": "2 - possibly" }, "1649": { "input": "Sentence 1: You should put scientists on a pedestal. Sentence 2: Why do people like you put scientist on a pedestal?", "output": "3 - probably" }, "1650": { "input": "Sentence 1: What are they trying to hide? Sentence 2: I then asked: What are they trying to hide?", "output": "4 - almost perfectly" }, "1651": { "input": "Sentence 1: That would make you partially responsible for their death. Sentence 2: That would make you a sort of accessory, I think.", "output": "3 - probably" }, "1652": { "input": "Sentence 1: Would you like to pay for others health care? Sentence 2: Would you like to wear your seatbelt?", "output": "0 - definitely not" }, "1653": { "input": "Sentence 1: I don't see Obama as the lesser of two evils. Sentence 2: I don't see him as evil at all.", "output": "2 - possibly" }, "1654": { "input": "Sentence 1: Zimmerman replied, \"What are you doing here?\" Sentence 2: Martin said, \"Why are you following me?\"", "output": "1 - probably not" }, "1655": { "input": "Sentence 1: My parents have told me it is bad for you. Sentence 2: My Sheriff has told me its bad for you.", "output": "3 - probably" }, "1656": { "input": "Sentence 1: Regulation get the government into everything. Sentence 2: Get the government into everything?", "output": "2 - possibly" }, "1657": { "input": "Sentence 1: It's a common sense/deductive reasoning thing. Sentence 2: Hilited your common sense/deductive reasoning thing.", "output": "2 - possibly" }, "1658": { "input": "Sentence 1: Jury nullification does not mean that a law is unconstuitutional. Sentence 2: Jury nullification means a law isn't Constitutional?", "output": "4 - almost perfectly" }, "1659": { "input": "Sentence 1: It's just a bunch of cells. Sentence 2: I'm \"a bunch of cells.\"", "output": "2 - possibly" }, "1660": { "input": "Sentence 1: Mann's work was all about math. Sentence 2: Mann's work and the HS was all about Tree rings.", "output": "2 - possibly" }, "1661": { "input": "Sentence 1: I'm so sorry to hear this Kelly. Sentence 2: I'm so sorry, Kelly.", "output": "4 - almost perfectly" }, "1662": { "input": "Sentence 1: I don't like flavored beers. Sentence 2: I don't like many flavored drinks.", "output": "3 - probably" }, "1663": { "input": "Sentence 1: I hope everything is ok! Sentence 2: I hope your LO is ok.", "output": "2 - possibly" }, "1664": { "input": "Sentence 1: any woman that wants birth control can get it. Sentence 2: Any woman that wants and abortion can get one.", "output": "2 - possibly" }, "1665": { "input": "Sentence 1: S As you wish: Do you see Hitler killing Jews? Sentence 2: Do you see Hitler killing Jews?", "output": "5 - perfectly" }, "1666": { "input": "Sentence 1: And I'm your friend Mitt. Sentence 2: Your good friend Mitt.", "output": "4 - almost perfectly" }, "1667": { "input": "Sentence 1: It means its AN option. Sentence 2: Doesnt mean its a BAD option.", "output": "2 - possibly" }, "1668": { "input": "Sentence 1: I think you need to reread what I wrote. Sentence 2: You need to reread what I wrote.", "output": "5 - perfectly" }, "1669": { "input": "Sentence 1: lets assume we have % white and % black. Sentence 2: Imagine a place that's % white and % black.", "output": "4 - almost perfectly" }, "1670": { "input": "Sentence 1: Mom busted in and said, \"What's that noise?\" Sentence 2: My kids busted in and said 'whats that Dad?'", "output": "2 - possibly" }, "1671": { "input": "Sentence 1: Holder filed a three-page letter. Sentence 2: The Judges orders a three-page letter to be filed.", "output": "3 - probably" }, "1672": { "input": "Sentence 1: @Lustig Andrei, Lustig, agreed. Sentence 2: @Lustig Andrei, Thank you, Lustig.", "output": "2 - possibly" }, "1673": { "input": "Sentence 1: This eclipses the old record of set in . Sentence 2: This breaks the daily record of set in .", "output": "5 - perfectly" }, "1674": { "input": "Sentence 1: Zimmerman replied, \"What are you doing here?\" Sentence 2: Martin said, \"Why are you following me?\"", "output": "1 - probably not" }, "1675": { "input": "Sentence 1: council tax Hasn't council tax been frozen for most people? Sentence 2: Hasn't council tax been frozen for most people?", "output": "5 - perfectly" }, "1676": { "input": "Sentence 1: Your schtick is getting stale. Sentence 2: Your misogyny is getting messy.", "output": "0 - definitely not" }, "1677": { "input": "Sentence 1: Is that how it works? Sentence 2: Nah, that's not how it works.", "output": "2 - possibly" }, "1678": { "input": "Sentence 1: Breathe In, Breathe Out, Move On. Sentence 2: buwhahahaha Breathe In, Breathe Out, Move On.", "output": "4 - almost perfectly" }, "1679": { "input": "Sentence 1: wait until they become more consistent and closer together. Sentence 2: wait for the contractions to get stronger and closer together.", "output": "4 - almost perfectly" }, "1680": { "input": "Sentence 1: Obama is extreme and leftwing. Sentence 2: Obama is part of the extreme leftwing.", "output": "5 - perfectly" }, "1681": { "input": "Sentence 1: What conviction where you talking about before? Sentence 2: What conviction would that be?", "output": "4 - almost perfectly" }, "1682": { "input": "Sentence 1: Democracy is a threat to liberty. Sentence 2: Democracy has nothing to do with liberty.", "output": "2 - possibly" }, "1683": { "input": "Sentence 1: Tell me exactly which system isn't working right now? Sentence 2: So which system isn't working for us?", "output": "4 - almost perfectly" }, "1684": { "input": "Sentence 1: Why are Russians in Damascus? Sentence 2: Russians in Damascus!", "output": "4 - almost perfectly" }, "1685": { "input": "Sentence 1: Yes, it's about dilution. Sentence 2: Er, that's not how dilution works.", "output": "2 - possibly" }, "1686": { "input": "Sentence 1: Yeah, I don't think this is that controversial either. Sentence 2: I don't think what she's saying is that controversial.", "output": "4 - almost perfectly" }, "1687": { "input": "Sentence 1: Operation Chaos is merely people voting. Sentence 2: Chaos is merely people voting.", "output": "4 - almost perfectly" }, "1688": { "input": "Sentence 1: Originally Posted by JonD Doubtful. Sentence 2: Originally Posted by eleanor.ellis", "output": "1 - probably not" }, "1689": { "input": "Sentence 1: Morals have absolutely nothing to do with it ! Sentence 2: and morals and honesty have everything to do with it.", "output": "2 - possibly" }, "1690": { "input": "Sentence 1: There is no war in the Middle east. Sentence 2: There is no \"WAR\" in the middle east.", "output": "5 - perfectly" }, "1691": { "input": "Sentence 1: He had no intention of apprehending him. Sentence 2: - I didnt say he planned on apprehending him.", "output": "2 - possibly" }, "1692": { "input": "Sentence 1: You're \"a bunch of cells.\" Sentence 2: I'm \"a bunch of cells.\"", "output": "2 - possibly" }, "1693": { "input": "Sentence 1: What is a girl douche? Sentence 2: You are a girl douche.", "output": "1 - probably not" }, "1694": { "input": "Sentence 1: It's definitely NOT what it used to be. Sentence 2: voted Voted It's definitely NOT what it used to be.", "output": "4 - almost perfectly" }, "1695": { "input": "Sentence 1: Cyclopes don't exist - fine. Sentence 2: Goblins don't exist - fine.", "output": "2 - possibly" }, "1696": { "input": "Sentence 1: Bush gets zero credit for the budget under him. Sentence 2: And, Obama gets zero credit for the budget under him.", "output": "2 - possibly" }, "1697": { "input": "Sentence 1: . Sinful people do not get to heaven. Sentence 2: Or sin is removed upon entry to heaven.", "output": "2 - possibly" }, "1698": { "input": "Sentence 1: What was the \"answer\" in Chicago? Sentence 2: What will be the response in California?", "output": "1 - probably not" }, "1699": { "input": "Sentence 1: The entire thing just makes no sense. Sentence 2: See that makes no sense.", "output": "4 - almost perfectly" }, "1700": { "input": "Sentence 1: Who supposedly operated the homicidal gas chambers? Sentence 2: Refresh your memory: Who supposedly operated the homicidal gas chambers?", "output": "5 - perfectly" }, "1701": { "input": "Sentence 1: Genetic predisposition to cancer resistance is superior genetics. Sentence 2: Genetic predisposition to Alzheimer is inferior genetics.", "output": "1 - probably not" }, "1702": { "input": "Sentence 1: Use of force in defense of person.-A Sentence 2: Use of force by aggressor.", "output": "1 - probably not" }, "1703": { "input": "Sentence 1: That's what the data available shows. Sentence 2: That's what the historical record shows.", "output": "4 - almost perfectly" }, "1704": { "input": "Sentence 1: I thought that was mostly just the Dutch. Sentence 2: In fact, it's just the Dutch.", "output": "3 - probably" }, "1705": { "input": "Sentence 1: Ive watched kids play. Sentence 2: I like watching kids play.", "output": "2 - possibly" }, "1706": { "input": "Sentence 1: David @OmSigDAVID, I think Santorum's more likely than Gingrich. Sentence 2: @sozobe, I think Santorum's more likely than Gingrich.", "output": "5 - perfectly" }, "1707": { "input": "Sentence 1: They're looking at each other! Sentence 2: Why are they looking at each other like that ?!?!", "output": "3 - probably" }, "1708": { "input": "Sentence 1: Are you driving one? Sentence 2: Are you driving a fucking Volt?", "output": "3 - probably" }, "1709": { "input": "Sentence 1: I think he'd be better for American business interests overall. Sentence 2: Would he be better for American society?", "output": "2 - possibly" }, "1710": { "input": "Sentence 1: not a constitutional issue. Sentence 2: again, this is not a constitutional issue.", "output": "4 - almost perfectly" }, "1711": { "input": "Sentence 1: YOU FOOLS..bought the cover-up..hook.. Sentence 2: Hi Eots: YOU FOOLS..bought the cover-up..hook..", "output": "4 - almost perfectly" }, "1712": { "input": "Sentence 1: What does pressing the number one do? Sentence 2: Pressing the number one does English.", "output": "2 - possibly" }, "1713": { "input": "Sentence 1: What conviction would that be? Sentence 2: What conviction where you talking about before?", "output": "4 - almost perfectly" }, "1714": { "input": "Sentence 1: Originally Posted by spikdboy Not wishful thinking, rather realistic. Sentence 2: Originally Posted by objectivism Not wishful thinking, rather realistic.", "output": "4 - almost perfectly" }, "1715": { "input": "Sentence 1: Charlie Rangel Censured Did anyone see the footage of this? Sentence 2: Did anyone see the footage of this?", "output": "3 - probably" }, "1716": { "input": "Sentence 1: Red October standing by. Sentence 2: Red Fox standing by.", "output": "2 - possibly" }, "1717": { "input": "Sentence 1: That's just not how legal briefs are written. Sentence 2: That just isn't how legal reasoning works.", "output": "3 - probably" }, "1718": { "input": "Sentence 1: Stone notified Captain Lord. Sentence 2: He too notified Captain Lord.", "output": "3 - probably" }, "1719": { "input": "Sentence 1: Are you driving one? Sentence 2: Are you driving a fucking Volt?", "output": "3 - probably" }, "1720": { "input": "Sentence 1: And that is happening in GOP controlled states. Sentence 2: Michigan IS a GOP controlled state.", "output": "1 - probably not" }, "1721": { "input": "Sentence 1: in Foxe basin was frozen. Sentence 2: Foxe was mostly frozen.", "output": "4 - almost perfectly" }, "1722": { "input": "Sentence 1: @Frank Apisa, Frank, I observe and perceive. Sentence 2: @cicerone imposter, Frank, I observe and perceive.", "output": "4 - almost perfectly" }, "1723": { "input": "Sentence 1: Higher than per cent but not very high. Sentence 2: Lower than per cent but not very low.", "output": "1 - probably not" }, "1724": { "input": "Sentence 1: What isn't how what was sold? Sentence 2: It's not how it was sold, gb.", "output": "2 - possibly" }, "1725": { "input": "Sentence 1: God definately does not exist. Sentence 2: God probably does not exist.", "output": "3 - probably" }, "1726": { "input": "Sentence 1: Breathe In, Breathe Out, Move On. Sentence 2: buwhahahaha Breathe In, Breathe Out, Move On.", "output": "4 - almost perfectly" }, "1727": { "input": "Sentence 1: The great thing about living here is there's space. Sentence 2: The bad thing is there's space.", "output": "2 - possibly" }, "1728": { "input": "Sentence 1: Ah ha, ha, ha, ha, ha! Sentence 2: Ha, ha, ha, ha, ha, ha!", "output": "4 - almost perfectly" }, "1729": { "input": "Sentence 1: The question needs to be asked. Sentence 2: It is a question that needs to be answered.", "output": "3 - probably" }, "1730": { "input": "Sentence 1: You purport to value life very heavily. Sentence 2: I purport to value human life very highly.", "output": "3 - probably" }, "1731": { "input": "Sentence 1: The Infestation posts. Sentence 2: The mosquitoes posts.", "output": "2 - possibly" }, "1732": { "input": "Sentence 1: i don't want a president who 'cares'. Sentence 2: don't want a president that is compassionate.", "output": "5 - perfectly" }, "1733": { "input": "Sentence 1: So answer the question. Sentence 2: Stop avoiding the question.", "output": "3 - probably" }, "1734": { "input": "Sentence 1: Haiti is a shithole. Sentence 2: Haiti has been a shithole.", "output": "4 - almost perfectly" }, "1735": { "input": "Sentence 1: Jake with the assist. Sentence 2: Voracek with the goal.", "output": "0 - definitely not" }, "1736": { "input": "Sentence 1: The people had awakened. Sentence 2: Because the people had awakened.", "output": "4 - almost perfectly" }, "1737": { "input": "Sentence 1: Umm, that pretty clearly states, \"the statute is presumed constitutional.\" Sentence 2: And until they decide that, \"the statute is presumed constitutional.\"", "output": "3 - probably" }, "1738": { "input": "Sentence 1: Florida The ignorance is yours! Sentence 2: The ignorance is yours!", "output": "3 - probably" }, "1739": { "input": "Sentence 1: I'm going to shout for justice for Trayvon. Sentence 2: The people shouting for justice for Trayvon are all hypocrites.", "output": "2 - possibly" }, "1740": { "input": "Sentence 1: How do you know what's right and wrong? Sentence 2: How do you know which story is the right one?", "output": "2 - possibly" }, "1741": { "input": "Sentence 1: Ha, ha, ha, ha, ha, ha! Sentence 2: Ah ha, ha, ha, ha, ha!", "output": "5 - perfectly" }, "1742": { "input": "Sentence 1: It is all Bush's fault. Sentence 2: Obama is Bush's fault.", "output": "1 - probably not" }, "1743": { "input": "Sentence 1: Yet you didn't have to declare it. Sentence 2: And you didn't have to.", "output": "2 - possibly" }, "1744": { "input": "Sentence 1: Proverbs John the Baptist was a Nazarite from birth. Sentence 2: John the Baptist was a Nazarite from birth.", "output": "5 - perfectly" }, "1745": { "input": "Sentence 1: James : says faith without works is dead. Sentence 2: Paul did not preach faith without works.", "output": "2 - possibly" }, "1746": { "input": "Sentence 1: and videos Seismic data does not equal duration of collapse. Sentence 2: Seismic data does not equal duration of collapse.", "output": "5 - perfectly" }, "1747": { "input": "Sentence 1: There is simply no winning for Obama among conservatives. Sentence 2: This is rich coming from a conservative.", "output": "1 - probably not" }, "1748": { "input": "Sentence 1: Satan represents indulgence instead of abstinence! Sentence 2: . Satan represents vengeance instead of turning the other cheek!", "output": "2 - possibly" }, "1749": { "input": "Sentence 1: fix?: Islam itself is not political. Sentence 2: Islam has always been political.", "output": "1 - probably not" }, "1750": { "input": "Sentence 1: I hope everything is OK! Sentence 2: I hope everything is okay.", "output": "5 - perfectly" }, "1751": { "input": "Sentence 1: Zimmerman says that he was sucker punched by his car. Sentence 2: His \"friends\" say that he was confronted by his car.", "output": "2 - possibly" }, "1752": { "input": "Sentence 1: There is no \"WAR\" in the middle east. Sentence 2: There is no war in the Middle east.", "output": "5 - perfectly" }, "1753": { "input": "Sentence 1: Part of pro-life is the opposition to legalized abortion. Sentence 2: Pro-life also refers to just \"opposition to abortion\".", "output": "4 - almost perfectly" }, "1754": { "input": "Sentence 1: Capital gains, top rate: percent. Sentence 2: - Income, top rate: percent.", "output": "3 - probably" }, "1755": { "input": "Sentence 1: No, I show you are willfully ignorant. Sentence 2: LOL, you are so ignorant.", "output": "4 - almost perfectly" }, "1756": { "input": "Sentence 1: the problem isn't who has money. Sentence 2: the problem is who doesn't have money.", "output": "2 - possibly" }, "1757": { "input": "Sentence 1: Sadly Ford did accept taxpayer money. Sentence 2: Ford didn't accept taxpayer money to save the company.", "output": "3 - probably" }, "1758": { "input": "Sentence 1: Your confusion doesn't make me a liar. Sentence 2: Then your confusion doesn't make me a liar either.", "output": "4 - almost perfectly" }, "1759": { "input": "Sentence 1: When Christians are extreme its just simply religion. Sentence 2: When Muslims are extreme it's terrorism.", "output": "2 - possibly" }, "1760": { "input": "Sentence 1: Some believe the 'right' is most important. Sentence 2: Some believe not slaughtering the unborn is most important.", "output": "1 - probably not" }, "1761": { "input": "Sentence 1: Evolution is not an opinion, not a belief. Sentence 2: Atomic theory is not an opinion, not a belief.", "output": "2 - possibly" }, "1762": { "input": "Sentence 1: Where in the world is Ron Paul? Sentence 2: Where in the world is the MEDIA??", "output": "1 - probably not" }, "1763": { "input": "Sentence 1: you have no remains of a missile at the pentagon. Sentence 2: you have no remains of an A- at the pentagon.", "output": "2 - possibly" }, "1764": { "input": "Sentence 1: my hair is pretty thing tho :/ Quote: Ditto. Sentence 2: my hair is pretty thing tho :/ woops!", "output": "4 - almost perfectly" }, "1765": { "input": "Sentence 1: It wouldn't stop joke marriages. Sentence 2: And I don't fight for marriage.", "output": "1 - probably not" }, "1766": { "input": "Sentence 1: Why did that transaction take place. Sentence 2: Did the transaction take place?", "output": "2 - possibly" }, "1767": { "input": "Sentence 1: It's about the baggage attached. Sentence 2: It's not the same thing.", "output": "0 - definitely not" }, "1768": { "input": "Sentence 1: the problem isn't who has money. Sentence 2: the problem is who doesn't have money.", "output": "2 - possibly" }, "1769": { "input": "Sentence 1: What makes you think the owl didn't participate? Sentence 2: It doesn't say that it didn't participate.", "output": "2 - possibly" }, "1770": { "input": "Sentence 1: lol Looking forward to seeing your built-in's! Sentence 2: Look forward to seeing it!", "output": "2 - possibly" }, "1771": { "input": "Sentence 1: Originally Posted by jacko! Sentence 2: Originally Posted by IZZY!", "output": "1 - probably not" }, "1772": { "input": "Sentence 1: Thanks Candy for starting the thread. Sentence 2: Candy - Thanks for starting us off today.", "output": "5 - perfectly" }, "1773": { "input": "Sentence 1: Except that it wasn't. Sentence 2: Except that they couldn't.", "output": "1 - probably not" }, "1774": { "input": "Sentence 1: Bush gets zero credit for the budget under him. Sentence 2: And, Obama gets zero credit for the budget under him.", "output": "2 - possibly" }, "1775": { "input": "Sentence 1: Originally Posted by muslim girl ooops sorry! Sentence 2: Originally Posted by muslim girl its not a complete impossibility.", "output": "1 - probably not" }, "1776": { "input": "Sentence 1: This is not your country. Sentence 2: This is our country.", "output": "1 - probably not" }, "1777": { "input": "Sentence 1: Cone threw an game. Sentence 2: Addie Joss Cone threw an game.", "output": "4 - almost perfectly" }, "1778": { "input": "Sentence 1: runs victim down Got any proof? Sentence 2: paranoid Got any proof?", "output": "1 - probably not" }, "1779": { "input": "Sentence 1: you don't use the search button much, do you? Sentence 2: you don't use the search button AT ALL, do you?", "output": "4 - almost perfectly" }, "1780": { "input": "Sentence 1: I don't think Paul has a shot. Sentence 2: Paul doesn't have a shot.", "output": "4 - almost perfectly" }, "1781": { "input": "Sentence 1: What if they messed up a study? Sentence 2: What if they had a personal bias?", "output": "1 - probably not" }, "1782": { "input": "Sentence 1: Specifically a Baptist. Sentence 2: Specifically Gnostic.", "output": "1 - probably not" }, "1783": { "input": "Sentence 1: And a large part of the east coast. Sentence 2: And parts of the west coast.", "output": "1 - probably not" }, "1784": { "input": "Sentence 1: Last night Japanese forces attacked Hong Kong. Sentence 2: Last night Japanese forces attacked the Philippine Islands.", "output": "3 - probably" }, "1785": { "input": "Sentence 1: . What is your definition of \"life force\"? Sentence 2: What is your definition of \"soul\"?", "output": "4 - almost perfectly" }, "1786": { "input": "Sentence 1: That is not direct responsibilty to the constituents. Sentence 2: Aye but they ARE responsible to their constituents.", "output": "3 - probably" }, "1787": { "input": "Sentence 1: Could this have been an enema? Sentence 2: @ossobuco, Could this have been an enema?", "output": "5 - perfectly" }, "1788": { "input": "Sentence 1: my final word: ignoring has the effect of normalizing. Sentence 2: taking advantage has the effect of reinforcing.", "output": "0 - definitely not" }, "1789": { "input": "Sentence 1: Moore had no immediate comment Tuesday. Sentence 2: Moore did not have an immediate response Tuesday.", "output": "5 - perfectly" }, "1790": { "input": "Sentence 1: The gloves are off, said UNIFI official Rob O'Neill. Sentence 2: Unifi official Rob O'Neill said: \"The gloves are off.", "output": "5 - perfectly" }, "1791": { "input": "Sentence 1: Chairman Michael Powell and FCC colleagues at the Wednesday hearing. Sentence 2: FCC chief Michael Powell presides over hearing Monday.", "output": "3 - probably" }, "1792": { "input": "Sentence 1: Rep. Peter Deutsch, D-Fla., criticized the FDA's efforts in Florida. Sentence 2: Peter Deutsch, D-Fla., said he wanted to congratulate the FDA.", "output": "2 - possibly" }, "1793": { "input": "Sentence 1: Druce will face murder charges, Conte said. Sentence 2: Conte said Druce will be charged with murder.", "output": "5 - perfectly" }, "1794": { "input": "Sentence 1: The notification was first reported Friday by MSNBC. Sentence 2: MSNBC.com first reported the CIA request on Friday.", "output": "3 - probably" }, "1795": { "input": "Sentence 1: The settlement includes $4.1 million in attorneys' fees and expenses. Sentence 2: Plaintiffs' attorneys would get $4.1 million of the settlement.", "output": "4 - almost perfectly" }, "1796": { "input": "Sentence 1: Three no votes would kill it for now. Sentence 2: It would take three votes to kill the ACC's expansion.", "output": "4 - almost perfectly" }, "1797": { "input": "Sentence 1: Tisha Kresler, a spokeswoman for Global Crossing, declined to comment. Sentence 2: A Global Crossing representative had no immediate comment.", "output": "4 - almost perfectly" }, "1798": { "input": "Sentence 1: Cisco pared spending to compensate for sluggish sales. Sentence 2: In response to sluggish sales, Cisco pared spending.", "output": "5 - perfectly" }, "1799": { "input": "Sentence 1: Counties with population declines will be Vermillion, Posey and Madison. Sentence 2: Vermillion, Posey and Madison County populations will decline.", "output": "5 - perfectly" }, "1800": { "input": "Sentence 1: There are 103 Democrats in the Assembly and 47 Republicans. Sentence 2: Democrats dominate the Assembly while Republicans control the Senate.", "output": "2 - possibly" }, "1801": { "input": "Sentence 1: VeriSign introduced its Site Finder service on Sept. 15. Sentence 2: The battle around VeriSign\"s three-week-old Site Finder service rages on.", "output": "2 - possibly" }, "1802": { "input": "Sentence 1: Turkish authorities have said all the suicide bombers were Turks. Sentence 2: Ankara says all four suicide bombers were Turkish.", "output": "4 - almost perfectly" }, "1803": { "input": "Sentence 1: Others with such a status are Egypt, Israel, and Australia. Sentence 2: Nations like Israel and Australia already have such status.", "output": "2 - possibly" }, "1804": { "input": "Sentence 1: The American Stock Exchange biotech index .BTK surged 5 percent. Sentence 2: The Philadelphia Stock Exchange's semiconductor index .SOXX jumped 6.10 percent.", "output": "1 - probably not" }, "1805": { "input": "Sentence 1: I'm real excited to be a Cleveland Cavalier, James said. Sentence 2: I'm really excited about going to Cleveland, James told ESPN.com.", "output": "4 - almost perfectly" }, "1806": { "input": "Sentence 1: Wells’ other series include NBC’s ER and Third Watch. Sentence 2: Wells' other series include NBC's \"ER\" and \"Third Watch.\"", "output": "5 - perfectly" }, "1807": { "input": "Sentence 1: Russ Britt is the Los Angeles Bureau Chief for CBS.MarketWatch.com. Sentence 2: Emily Church is London bureau chief of CBS.MarketWatch.com.", "output": "2 - possibly" }, "1808": { "input": "Sentence 1: Those reports were denied by the interior minister, Prince Nayef. Sentence 2: However, the Saudi interior minister, Prince Nayef, denied the reports.", "output": "4 - almost perfectly" }, "1809": { "input": "Sentence 1: mexico wishes to guarantee citizens' safety. Sentence 2: mexico wishes to avoid more violence.", "output": "4 - almost perfectly" }, "1810": { "input": "Sentence 1: spain currently holds the rotating presidency of the osce. Sentence 2: spain currently holds the osce's presidency.", "output": "4 - almost perfectly" }, "1811": { "input": "Sentence 1: the treaty was first signed in 1990. Sentence 2: the cfe treaty was signed in 1990.", "output": "4 - almost perfectly" }, "1812": { "input": "Sentence 1: safe bourada was sentenced to 15 years in prison. Sentence 2: djamel badaoui was sentenced to five years.", "output": "1 - probably not" }, "1813": { "input": "Sentence 1: the center will be operational in august 2008. Sentence 2: the center will formally open in 2009.", "output": "2 - possibly" }, "1814": { "input": "Sentence 1: the drug is also known as ice or shabu. Sentence 2: methamphetamine is also known as ice.", "output": "3 - probably" }, "1815": { "input": "Sentence 1: myanmar was formerly known as burma. Sentence 2: myanmar was formerly called burma.", "output": "5 - perfectly" }, "1816": { "input": "Sentence 1: alto huallaga is located northeast of the capital lima. Sentence 2: puerto cabezas is located 557 km northeast of managua, nicaragua.", "output": "0 - definitely not" }, "1817": { "input": "Sentence 1: no other drug has become as integral in decades. Sentence 2: the drug has been around in other forms for years.", "output": "2 - possibly" }, "1818": { "input": "Sentence 1: helmand province is the world's largest opium-producing region. Sentence 2: helmand province is the world's largest producer of opium.", "output": "5 - perfectly" }, "1819": { "input": "Sentence 1: police stated tsai wen-huang would be extradited to taiwan. Sentence 2: police stated that-- chung has been on the run.", "output": "2 - possibly" }, "1820": { "input": "Sentence 1: 2 of the individuals arrested were released. Sentence 2: 2 of the zambians arrested are juveniles.", "output": "2 - possibly" }, "1821": { "input": "Sentence 1: the osce meeting lasted two days. Sentence 2: the osce meeting was held in madrid.", "output": "2 - possibly" }, "1822": { "input": "Sentence 1: the cfe treaty was signed in 1990. Sentence 2: the cfe treaty was established in 1990.", "output": "5 - perfectly" }, "1823": { "input": "Sentence 1: china is an important force for safeguarding world peace. Sentence 2: china is an important force for promoting world development.", "output": "3 - probably" }, "1824": { "input": "Sentence 1: north korea denies involvement in any nuclear program in syria. Sentence 2: north korea denies involvement in any syrian nuclear project.", "output": "4 - almost perfectly" }, "1825": { "input": "Sentence 1: a spokesman for stockwell day was not immediately available for Sentence 2: chinese authorities were not immediately available for comment.", "output": "1 - probably not" }, "1826": { "input": "Sentence 1: kashmir is divided between india and pakistan. Sentence 2: kashmir is claimed by both india and pakistan.", "output": "4 - almost perfectly" }, "1827": { "input": "Sentence 1: russia ratified the amended treaty. Sentence 2: russia ratified the updated treaty in 2004.", "output": "3 - probably" }, "1828": { "input": "Sentence 1: abuja is the capital of Sentence 2: tskhinvali is the capital of georgia.", "output": "1 - probably not" }, "1829": { "input": "Sentence 1: tirana is the capital of Sentence 2: abuja is the capital of", "output": "1 - probably not" }, "1830": { "input": "Sentence 1: iran's nuclear projects are for peaceful purposes. Sentence 2: iran insists that its nuclear program is for peaceful purposes", "output": "4 - almost perfectly" }, "1831": { "input": "Sentence 1: china is north korea's closest ally. Sentence 2: north korea is a reclusive state.", "output": "1 - probably not" }, "1832": { "input": "Sentence 1: zabol is a town in southeastern iran. Sentence 2: khoramabad is a city in western iran.", "output": "1 - probably not" }, "1833": { "input": "Sentence 1: france provides the rockets, guns and engines. Sentence 2: britain provides fuel tanks and gearboxes.", "output": "2 - possibly" }, "1834": { "input": "Sentence 1: bae systems is the uk's largest defense company. Sentence 2: bae systems is the uk's largest military", "output": "3 - probably" }, "1835": { "input": "Sentence 1: turkmenistan borders afghanistan. Sentence 2: sistan-baluchestan borders afghanistan and pakistan.", "output": "2 - possibly" }, "1836": { "input": "Sentence 1: syria denies having an undeclared nuclear program. Sentence 2: syria denies the existence of an undeclared nuclear program.", "output": "5 - perfectly" }, "1837": { "input": "Sentence 1: amnesty international is a rights group based in london. Sentence 2: the international institute for strategic studies is located in london.", "output": "1 - probably not" }, "1838": { "input": "Sentence 1: the iranian government stated-- the iranian nuclear program remains peaceful. Sentence 2: the iranian government says the nuclear program is peaceful.", "output": "5 - perfectly" }, "1839": { "input": "Sentence 1: paris is the capital of france. Sentence 2: lima is the capital of", "output": "1 - probably not" }, "1840": { "input": "Sentence 1: an indian government official spoke on condition of anonymity. Sentence 2: the official spoke on condition of anonymity.", "output": "3 - probably" }, "1841": { "input": "Sentence 1: opium is the raw ingredient for heroin. Sentence 2: the poppies yielded the raw ingredient for heroin.", "output": "3 - probably" }, "1842": { "input": "Sentence 1: many of those executed in iran are hanged in public. Sentence 2: many of the people executed are hanged in public.", "output": "3 - probably" }, "1843": { "input": "Sentence 1: the cfe is very important for european security. Sentence 2: the cfe is a cornerstone of european security.", "output": "5 - perfectly" }, "1844": { "input": "Sentence 1: the matter is delicate. Sentence 2: the iaea report is restricted.", "output": "0 - definitely not" }, "1845": { "input": "Sentence 1: the u.s., other western nations and nato condemned the violence. Sentence 2: the u.s., other western nations and nato demanded a cease-fire.", "output": "4 - almost perfectly" }, "1846": { "input": "Sentence 1: the judicial order accused raghad of funding terrorism. Sentence 2: the court accused raghad saddam hussein of funding terrorism.", "output": "4 - almost perfectly" }, "1847": { "input": "Sentence 1: india accuses islamabad of funding and training guerrillas. Sentence 2: india accuses pakistan of funding and training the cross-border guerrillas.", "output": "3 - probably" }, "1848": { "input": "Sentence 1: the ensuing battle and airstrikes killed at least 10 militants. Sentence 2: an ensuing battle killed at least 10 militants.", "output": "4 - almost perfectly" }, "1849": { "input": "Sentence 1: vietnam has among the world's harshest drug laws. Sentence 2: vietnam's drug laws are among the world's strictest laws.", "output": "5 - perfectly" }, "1850": { "input": "Sentence 1: the cfe treaty was established in 1990. Sentence 2: the treat was originally signed in 1990.", "output": "3 - probably" }, "1851": { "input": "Sentence 1: the meetings lasted 2 days. Sentence 2: the osce meeting lasted two days.", "output": "3 - probably" }, "1852": { "input": "Sentence 1: the villagers are inadvertently involving themselves in drug trafficking. Sentence 2: 105 inmates are serving sentences for drug trafficking.", "output": "1 - probably not" }, "1853": { "input": "Sentence 1: it is a serious threat to international security. Sentence 2: it presents a major threat to global security.", "output": "4 - almost perfectly" }, "1854": { "input": "Sentence 1: many of the attacks originated abroad. Sentence 2: estonian officials stated that the attacks originated in russia.", "output": "2 - possibly" }, "1855": { "input": "Sentence 1: police arrested 2 honduran drug trafficking suspects. Sentence 2: bulgarian police arrest head of drug trafficking group.", "output": "1 - probably not" }, "1856": { "input": "Sentence 1: russia already participates in the european space agency's Sentence 2: france is a leader in the european space agency.", "output": "1 - probably not" }, "1857": { "input": "Sentence 1: myanmar is a military state. Sentence 2: myanmar has a military junta.", "output": "3 - probably" }, "1858": { "input": "Sentence 1: drug traffickers face the death penalty under tajik law. Sentence 2: afghan drug trafficker was caught in tajikistan.", "output": "2 - possibly" }, "1859": { "input": "Sentence 1: international atomic energy association is the united nations watchdog. Sentence 2: the international atomic energy agency is the u.n.'s nuclear watchdog.", "output": "5 - perfectly" }, "1860": { "input": "Sentence 1: zahedan is a city in southeastern Sentence 2: bam is a city in southeastern", "output": "2 - possibly" }, "1861": { "input": "Sentence 1: president putin stated that russia would take countermeasures. Sentence 2: putin warned that russia would take retaliatory actions.", "output": "4 - almost perfectly" }, "1862": { "input": "Sentence 1: the iaea report is restricted. Sentence 2: the killers escaped.", "output": "0 - definitely not" }, "1863": { "input": "Sentence 1: helmand province is the world's largest producer of opium. Sentence 2: the areva group is the world's largest nuclear engineering firm.", "output": "0 - definitely not" }, "1864": { "input": "Sentence 1: vietnam has among the world's strictest drug laws. Sentence 2: vietnam's drug laws are among the world's strictest laws.", "output": "5 - perfectly" }, "1865": { "input": "Sentence 1: russia ratified the amended version of the treaty. Sentence 2: russia ratified the amended treaty.", "output": "5 - perfectly" }, "1866": { "input": "Sentence 1: elbaradei is the international atomic energy agency chief. Sentence 2: mohammed elbarade is the international atomic energy agency's director general.", "output": "5 - perfectly" }, "1867": { "input": "Sentence 1: the nuclear nonproliferation treaty is 37 years old. Sentence 2: the nuclear nonproliferation treaty is reviewed every 5 years.", "output": "2 - possibly" }, "1868": { "input": "Sentence 1: 88 percent of the liberal democratic party supports economic sanctions. Sentence 2: 80 percent of the opposition democratic party supports economic sanctions.", "output": "4 - almost perfectly" }, "1869": { "input": "Sentence 1: sharia is islamic law. Sentence 2: iran is an islamic republic .", "output": "1 - probably not" }, "1870": { "input": "Sentence 1: naeem m. was hanged in zabol, sistan-baluchestan province. Sentence 2: zahedan is the capital of sistan-baluchestan province.", "output": "0 - definitely not" }, "1871": { "input": "Sentence 1: it will be hosted by the australian government. Sentence 2: the u.s. plans have angered the russian government.", "output": "0 - definitely not" }, "1872": { "input": "Sentence 1: chinese authorities were not immediately available for comment. Sentence 2: godzhayev and godzhayev's lawyers were not immediately available to comment.", "output": "1 - probably not" }, "1873": { "input": "Sentence 1: tskhinvali is the capital of georgia. Sentence 2: paris is the capital of france.", "output": "0 - definitely not" }, "1874": { "input": "Sentence 1: a key european arms control treaty must be maintained. Sentence 2: the cfe treaty is a key european arms control treaty.", "output": "2 - possibly" }, "1875": { "input": "Sentence 1: the meeting was 3 days long. Sentence 2: the meetings lasted 2 days.", "output": "3 - probably" }, "1876": { "input": "Sentence 1: india and pakistan remain outside the treaty. Sentence 2: israel remains outside the treaty.", "output": "2 - possibly" }, "1877": { "input": "Sentence 1: this is particularly true in the poorest countries. Sentence 2: this was particularly after ethiopia withdraws its forces.", "output": "0 - definitely not" }, "1878": { "input": "Sentence 1: 40 inmates are serving sentences for murder. Sentence 2: 105 inmates are serving sentences for drug trafficking.", "output": "1 - probably not" }, "1879": { "input": "Sentence 1: russia is fulfilling obligations and decreasing forces. Sentence 2: russia's suspension of obligations under the cfe treaty is temporary.", "output": "2 - possibly" }, "1880": { "input": "Sentence 1: korobeynichev's laboratory worked with the u.s. lawrence livermore national laboratory. Sentence 2: korobeynichev's laboratory worked with other scientific institutes.", "output": "3 - probably" }, "1881": { "input": "Sentence 1: lugar and nunn are senators. Sentence 2: lugar and nunn awarded the prime minister a medal.", "output": "2 - possibly" }, "1882": { "input": "Sentence 1: there is much concern over the drug. Sentence 2: there is much work to be done.", "output": "0 - definitely not" }, "1883": { "input": "Sentence 1: 3 suspected extremists were released on bail. Sentence 2: 1 suspected extremist was provisionally released without bail.", "output": "2 - possibly" }, "1884": { "input": "Sentence 1: 6 czech hospital employees are charged with human organ trafficking. Sentence 2: the accused will be charged with international drug trafficking.", "output": "1 - probably not" }, "1885": { "input": "Sentence 1: this further aggravated the situation. Sentence 2: north korea should not act further to aggravate the situation.", "output": "2 - possibly" }, "1886": { "input": "Sentence 1: Drug lord captured by marines in Mexico Sentence 2: Suspected drug lord known as ‘El Taliban’ held in Mexico", "output": "3 - probably" }, "1887": { "input": "Sentence 1: SC dismisses govt's review plea in Vodafone tax case Sentence 2: SC dismisses govt's review petition on Vodafone tax verdict", "output": "4 - almost perfectly" }, "1888": { "input": "Sentence 1: Explosion hits oil pipeline in Syria's Homs Sentence 2: Explosion hits pipeline as Assad attacks cities", "output": "3 - probably" }, "1889": { "input": "Sentence 1: NATO Soldier Killed In Afghan Attack Sentence 2: NATO soldier killed in S. Afghanistan", "output": "4 - almost perfectly" }, "1890": { "input": "Sentence 1: Castro celebrates 86th birthday Monday Sentence 2: Fidel Castro celebrates 86th birthday", "output": "4 - almost perfectly" }, "1891": { "input": "Sentence 1: Eye Opener: Supreme Court rules on Arizona immigration law Sentence 2: U.S. Supreme Court issues split ruling on Arizona immigration law", "output": "4 - almost perfectly" }, "1892": { "input": "Sentence 1: NATO traces path out of Afghanistan Sentence 2: NATO Leaders Commit to Afghanistan Transition", "output": "3 - probably" }, "1893": { "input": "Sentence 1: Syria says suicide bomber kills 10 in Damascus Sentence 2: Damascus 'suicide bombing' kills 10", "output": "4 - almost perfectly" }, "1894": { "input": "Sentence 1: Sachin Tendulkar says I'm not God, I'm Sachin Sentence 2: Sachin Tendulkar scores cricket's first 100th century", "output": "1 - probably not" }, "1895": { "input": "Sentence 1: Australian PM Gillard set to win leadership challenge Sentence 2: Australian PM defiant under pressure over leadership", "output": "2 - possibly" }, "1896": { "input": "Sentence 1: Obama backs Philippines over South China Sea Sentence 2: Obama says clear rules needed to calm South China Sea", "output": "2 - possibly" }, "1897": { "input": "Sentence 1: Teenager in China kills 8, wounds 5 in knife attack Sentence 2: Teenager kills 8 in knife attack", "output": "3 - probably" }, "1898": { "input": "Sentence 1: Syrian rebels move command from Turkey to Syria Sentence 2: Free Syrian Army moves headquarters from Turkey to Syria", "output": "4 - almost perfectly" }, "1899": { "input": "Sentence 1: Knesset speaker: Obama reelection bad for Israel Sentence 2: 7 states sue over Obama administration's birth control rule", "output": "0 - definitely not" }, "1900": { "input": "Sentence 1: Greece bond exchange the largest debt restructuring in history Sentence 2: Greece secures biggest debt deal in history", "output": "3 - probably" }, "1901": { "input": "Sentence 1: Putin 'Wins Russian Presidential Election' Sentence 2: Polls open in Russian presidential election", "output": "1 - probably not" }, "1902": { "input": "Sentence 1: Indian finance minister quits to run for president Sentence 2: Julian Assange Plans to Run for Australian Senate", "output": "0 - definitely not" }, "1903": { "input": "Sentence 1: Jerry Sandusky found guilty in child sex abuse trial Sentence 2: Sandusky found guilty in child sex abuse trial", "output": "4 - almost perfectly" }, "1904": { "input": "Sentence 1: Three Tibetans self-immolate in western China: report Sentence 2: 7 Tibetans self-immolate in China", "output": "2 - possibly" }, "1905": { "input": "Sentence 1: White House in damage control over Obama Supreme Court remarks Sentence 2: Fact check: Obama's Supreme Court remarks", "output": "4 - almost perfectly" }, "1906": { "input": "Sentence 1: Annan warns talks of Syria risks Sentence 2: Putin, Annan meet on Syria crisis", "output": "2 - possibly" }, "1907": { "input": "Sentence 1: Saudis to permit women to compete in Olympics Sentence 2: Saudi Women Allowed To Compete At Olympics", "output": "5 - perfectly" }, "1908": { "input": "Sentence 1: Nigeria university mass attacked by gunmen Sentence 2: Nigeria: University Bombed in North", "output": "2 - possibly" }, "1909": { "input": "Sentence 1: China's Cabinet promises to boost economy Sentence 2: China's Wen promises job creation", "output": "3 - probably" }, "1910": { "input": "Sentence 1: Tropical Storm Isaac boosts jobless claims Sentence 2: Tropical Storm Joyce forms, stays in open Atlantic", "output": "1 - probably not" }, "1911": { "input": "Sentence 1: Freddie Starr Arrested In Savile Abuse Probe Sentence 2: Third man arrested in Savile sex abuse probe", "output": "3 - probably" }, "1912": { "input": "Sentence 1: Romney announces Paul Ryan as running mate Sentence 2: Romney names Ryan as running mate", "output": "5 - perfectly" }, "1913": { "input": "Sentence 1: Stocks rise early after Greek deal, then flatten Sentence 2: Stocks edge higher after Greek debt deal", "output": "4 - almost perfectly" }, "1914": { "input": "Sentence 1: Suicide bombing rocks elite Yemen military camp Sentence 2: Suicide bombers attack Yemen military posts", "output": "4 - almost perfectly" }, "1915": { "input": "Sentence 1: NATO: 2 International Troops Killed in Afghanistan Sentence 2: Three NATO troops killed in one day in Afghanistan", "output": "2 - possibly" }, "1916": { "input": "Sentence 1: Moscow protesters demand Vladimir Putin's resignation Sentence 2: Moscow protest against Vladimir Putin smaller and quieter", "output": "2 - possibly" }, "1917": { "input": "Sentence 1: French election turnout higher than expected Sentence 2: French presidential election: first round - live updates", "output": "1 - probably not" }, "1918": { "input": "Sentence 1: Australia to establish the world's largest marine reserve Sentence 2: Australia creates world's largest marine reserves", "output": "4 - almost perfectly" }, "1919": { "input": "Sentence 1: Two U.S. soldiers shot, killed by Afghan soldier Sentence 2: Two British soldiers killed by Afghan policeman", "output": "2 - possibly" }, "1920": { "input": "Sentence 1: Italy soldiers die in Afghanistan Sentence 2: Two UK Soldiers Killed In Afghanistan", "output": "1 - probably not" }, "1921": { "input": "Sentence 1: Abbas to lead Palestinian unity government Sentence 2: Abbas proposed as PM in interim unity government", "output": "4 - almost perfectly" }, "1922": { "input": "Sentence 1: Egypt’s Coptic Church Names New Pope Sentence 2: Egypt's Coptic Church Prepares to Choose Pope", "output": "3 - probably" }, "1923": { "input": "Sentence 1: Malawi Officially Confirms President's Death Sentence 2: Malawi confirms President Mutharika's death", "output": "4 - almost perfectly" }, "1924": { "input": "Sentence 1: Mali's Tuareg rebels declare independence Sentence 2: Mali rebels declare independent 'Azawad'", "output": "4 - almost perfectly" }, "1925": { "input": "Sentence 1: Lance Armstrong stripped of Tour de France titles Sentence 2: Lance Armstrong plots strategy after loss of titles", "output": "1 - probably not" }, "1926": { "input": "Sentence 1: Egypt votes on final day of presidential election Sentence 2: Polls open in France for presidential election", "output": "1 - probably not" }, "1927": { "input": "Sentence 1: Is Madeleine McCann Still Alive? Sentence 2: Reopen Madeleine case, police urge", "output": "1 - probably not" }, "1928": { "input": "Sentence 1: Aussie surfers find stricken asylum seekers Sentence 2: Mayday: fears for asylum seekers", "output": "1 - probably not" }, "1929": { "input": "Sentence 1: Gunman kills 6 in shooting at Wisconsin Sikh temple Sentence 2: Gunman kills six in shooting at Sikh temple in Wisconsin", "output": "5 - perfectly" }, "1930": { "input": "Sentence 1: Audi to buy motorcycle maker Ducati Sentence 2: Probe into motor insurance market", "output": "1 - probably not" }, "1931": { "input": "Sentence 1: China news agency: Still hope for Syria peace Sentence 2: China state news agency: There's still hope for Syria peace", "output": "4 - almost perfectly" }, "1932": { "input": "Sentence 1: 22 dead in suicide attack on Yemen police academy Sentence 2: AU forces intensify attack on Somali rebels", "output": "0 - definitely not" }, "1933": { "input": "Sentence 1: South Korea Orders Immediate Shutdown of 2 Nuclear Reactors Sentence 2: South Korea to boost nuclear power?", "output": "1 - probably not" }, "1934": { "input": "Sentence 1: US, allies to set demands for Iran nuclear talks Sentence 2: 'Iran won't accept pre-conditions to nuclear talks'", "output": "2 - possibly" }, "1935": { "input": "Sentence 1: Thousands of troops to march for Jubilee Sentence 2: Thousands flock to Amsterdam for Queen's Day", "output": "1 - probably not" }, "1936": { "input": "Sentence 1: Middle East: Israel: Hamas Leader Convicted Sentence 2: Middle East: Iraq: 17 Prisoners Escape in Kirkuk", "output": "1 - probably not" }, "1937": { "input": "Sentence 1: Navy Jet Crashes Into Apartment Building Sentence 2: US Navy Jet Crashes into Apartment Block", "output": "4 - almost perfectly" }, "1938": { "input": "Sentence 1: Woman dies after abortion refusal Sentence 2: Woman dies after cliff collapses in Dorset", "output": "1 - probably not" }, "1939": { "input": "Sentence 1: U.S. and Turkey weigh no-fly zones for Syria Sentence 2: U.S. and Turkey Tighten Coordination on Syria", "output": "2 - possibly" }, "1940": { "input": "Sentence 1: Death toll rises to 236 after Brazzaville blasts Sentence 2: Rep. of Congo: 236 Dead After Arms Depot Blasts", "output": "4 - almost perfectly" }, "1941": { "input": "Sentence 1: I'll Have Another retired to stud Sentence 2: I'll Have Another wins Preakness", "output": "1 - probably not" }, "1942": { "input": "Sentence 1: Syria journalists rescue bid fails Sentence 2: Journalists smuggled out of Homs", "output": "1 - probably not" }, "1943": { "input": "Sentence 1: New sex claim hits Secret Service Sentence 2: New rules for US Secret Service", "output": "2 - possibly" }, "1944": { "input": "Sentence 1: Rimsha Masih released on bail Sentence 2: Mandela released from hospital", "output": "0 - definitely not" }, "1945": { "input": "Sentence 1: 1 person killed in sectarian clashes in Lebanon Sentence 2: 180 killed in Iran earthquake", "output": "0 - definitely not" }, "1946": { "input": "Sentence 1: Gains in financial stocks push up European equities Sentence 2: British Christians take complaints to European court", "output": "0 - definitely not" }, "1947": { "input": "Sentence 1: Turkey Raises Alarm Over Syrian Refugees Sentence 2: Turkey seeks to relocate some Syrian refugees", "output": "2 - possibly" }, "1948": { "input": "Sentence 1: Suspected al-Qaeda financier arrested in France Sentence 2: Three al Qaeda suspects arrested in Spain", "output": "2 - possibly" }, "1949": { "input": "Sentence 1: No damage, tsunami after 6.6 quake hits off Indonesia's Sumatra Sentence 2: 5.9 quake hits Indonesia s Sumatra: USGS", "output": "2 - possibly" }, "1950": { "input": "Sentence 1: 18 killed, 108 wounded in wave of bombings in Iraq Sentence 2: 9 killed, 31 wounded in car bombs in Iraq's Kirkuk", "output": "1 - probably not" }, "1951": { "input": "Sentence 1: Palestinian prisoner ending hunger strike after deal Sentence 2: Israel to free Palestinian hunger striker", "output": "2 - possibly" }, "1952": { "input": "Sentence 1: Hezbollah confirms it sent drone downed over Israel Sentence 2: Hezbollah says it sent drone over Israel", "output": "3 - probably" }, "1953": { "input": "Sentence 1: Rebel fighters 'capture' Syrian soldiers Sentence 2: Free Syrian Army captures Syrian officers", "output": "3 - probably" }, "1954": { "input": "Sentence 1: Colorado shooting suspect was under psychiatrist's care Sentence 2: Doctor treating Aurora shooting suspect had medical reprimand", "output": "2 - possibly" }, "1955": { "input": "Sentence 1: 6.6 quake rocks Indonesia's Papua: USGS Sentence 2: 6.6 quake rocks Indonesia's Papua: US Geological Survey", "output": "5 - perfectly" }, "1956": { "input": "Sentence 1: New Jersey School Bans Hugging Sentence 2: US school bans hugging", "output": "4 - almost perfectly" }, "1957": { "input": "Sentence 1: Tsunami warning issued for southern Alaska Sentence 2: Tsunami warning after Canada quake", "output": "2 - possibly" }, "1958": { "input": "Sentence 1: 'No Evidence' In Afghanistan Massacre Case Sentence 2: US toll in Afghanistan hits 2,000", "output": "1 - probably not" }, "1959": { "input": "Sentence 1: Cash-rich Apple to pay dividend, buy back shares Sentence 2: Apple to pay $2.65/share dividend, buy back $10B stock", "output": "4 - almost perfectly" }, "1960": { "input": "Sentence 1: Australian unemployment up to 5.1 percent Sentence 2: French unemployment rate rises to 10 percent", "output": "1 - probably not" }, "1961": { "input": "Sentence 1: Shares Move Higher on Wall Street Sentence 2: Sandy strengthens as nears coast; Wall Street shut", "output": "0 - definitely not" }, "1962": { "input": "Sentence 1: Halliburton 1Q income rises 23 pct Sentence 2: Halliburton Q1 profits rise on strong North America sales", "output": "3 - probably" }, "1963": { "input": "Sentence 1: 4 killed in shrine bombing in northwest Pakistan Sentence 2: 12 killed in U.S. drone strike in NW Pakistan", "output": "1 - probably not" }, "1964": { "input": "Sentence 1: China stocks close mixed Friday Sentence 2: China stocks open lower Friday", "output": "2 - possibly" }, "1965": { "input": "Sentence 1: India bans bulk texts after riots Sentence 2: Tunisia lifts curfew after riots", "output": "1 - probably not" }, "1966": { "input": "Sentence 1: Yorkshire soldier killed in Afghan bomb blast Sentence 2: Soldier killed in Afghanistan blast", "output": "4 - almost perfectly" }, "1967": { "input": "Sentence 1: Radical Islamists in Mali enlist new militia Sentence 2: Local Militia Bolsters Islamist Militants in Mali", "output": "4 - almost perfectly" }, "1968": { "input": "Sentence 1: Olympics Opening Ceremony A Hit Around Globe Sentence 2: Opening ceremony gives Olympics a rocking start", "output": "4 - almost perfectly" }, "1969": { "input": "Sentence 1: Man killed in French terror raid Sentence 2: Man dies in French 'anti-terror operation'", "output": "5 - perfectly" }, "1970": { "input": "Sentence 1: Capello quits as England manager Sentence 2: Capello resigns as England manager", "output": "5 - perfectly" }, "1971": { "input": "Sentence 1: One dead in Ohio school shooting Sentence 2: 1 dead, 4 wounded in Ohio school shooting", "output": "3 - probably" }, "1972": { "input": "Sentence 1: 2 Palestinians killed in Israeli airstrikes Sentence 2: Four Palestinians killed in IAF strike", "output": "2 - possibly" }, "1973": { "input": "Sentence 1: Pakistan condemns U.S. drone strikes Sentence 2: Pakistan convoy heads to protest US drone strikes", "output": "3 - probably" }, "1974": { "input": "Sentence 1: Massive Hurricane Sandy bears down on U.S. East Coast Sentence 2: Hurricane Sandy gains speed, batters US east coast", "output": "4 - almost perfectly" }, "1975": { "input": "Sentence 1: Sarkozy to File Complaint in Gadhafi Funding Claim Sentence 2: Sarkozy to sue after Gaddafi cash claim bursts into campaign", "output": "4 - almost perfectly" }, "1976": { "input": "Sentence 1: The Note's Must Reads for Wednesday July 4, 2012 Sentence 2: The Note's Must-Reads for Wednesday, May 30, 2012", "output": "2 - possibly" }, "1977": { "input": "Sentence 1: 'Iran will attack Tel Aviv if Israel strikes' Sentence 2: Senior cleric: Iran will attack Tel Aviv if Israel strikes", "output": "4 - almost perfectly" }, "1978": { "input": "Sentence 1: Gusmao consolidates power in East Timor elections Sentence 2: Supreme Court possibilities if Romney wins election", "output": "0 - definitely not" }, "1979": { "input": "Sentence 1: Pena Nieto wins Mexico presidential vote: exit polls Sentence 2: Poll: Putin to win Russia presidential vote", "output": "1 - probably not" }, "1980": { "input": "Sentence 1: Syria tells Russia some troops have pulled out of Homs Sentence 2: Syria says troops have begun pullout – video", "output": "3 - probably" }, "1981": { "input": "Sentence 1: Nigeria plane crash: No survivors Sentence 2: 4 Chinese among Nigeria plane crash victims", "output": "3 - probably" }, "1982": { "input": "Sentence 1: Explosion at Venezuela Refinery Kills at Least 39 Sentence 2: Venezuela mourns oil refinery blast deaths", "output": "3 - probably" }, "1983": { "input": "Sentence 1: Strong earthquake hits Mexico Sentence 2: Strong earthquake strikes near Acapulco", "output": "4 - almost perfectly" }, "1984": { "input": "Sentence 1: Russia, China veto UN resolution on Syria killings Sentence 2: Russia, China in double veto of UN Syria resolution", "output": "4 - almost perfectly" }, "1985": { "input": "Sentence 1: Pakistani plane crashes with 127 on board Sentence 2: Pakistani Plane Crashes With 130 People On Board", "output": "3 - probably" }, "1986": { "input": "Sentence 1: Erdogan and Putin talked in raised voice Sentence 2: Foreign militants killed in Somalia in strike on car", "output": "0 - definitely not" }, "1987": { "input": "Sentence 1: Saudi Arabia arrests suspected militants with al-Qaeda links Sentence 2: Saudi Arabia arrests suspected militants, state media reports", "output": "4 - almost perfectly" }, "1988": { "input": "Sentence 1: Hurricane Sandy Closes in on US East Coast Sentence 2: Hurricane Sandy takes aim at US East Coast", "output": "5 - perfectly" }, "1989": { "input": "Sentence 1: Chicago teachers strike: Vacations for students, for good or ill Sentence 2: Chicago teacher strike poses test for unions", "output": "2 - possibly" }, "1990": { "input": "Sentence 1: Panetta says Afghanistan role to shift from combat in 2013 Sentence 2: Panetta: Afghanistan Tops NATO Conference Topics", "output": "2 - possibly" }, "1991": { "input": "Sentence 1: Four men admit London Stock Exchange bomb plot Sentence 2: Four men admit London bombs plot", "output": "4 - almost perfectly" }, "1992": { "input": "Sentence 1: Israel threatens action against Gaza aid ship Sentence 2: Israel attacks in Gaza Strip after rocket fire", "output": "2 - possibly" }, "1993": { "input": "Sentence 1: Bodies Found at Russian Jet Crash in Indonesia Sentence 2: 12 bodies found at Russian jet crash in Indonesia", "output": "4 - almost perfectly" }, "1994": { "input": "Sentence 1: Syria urges refugees to return Sentence 2: Syria's tenuous truce takes hold", "output": "1 - probably not" }, "1995": { "input": "Sentence 1: Rupert Murdoch: I was the victim of a cover up Sentence 2: Rupert Murdoch set for second day of grilling", "output": "1 - probably not" }, "1996": { "input": "Sentence 1: Barack Obama's bodyguards sent back to US after prostitution scandal Sentence 2: Barclays boss falls to rate fixing scandal", "output": "0 - definitely not" }, "1997": { "input": "Sentence 1: China's yuan rises to new high against USD Wednesday Sentence 2: China's yuan advances to 6.3103 against USD Wednesday", "output": "4 - almost perfectly" }, "1998": { "input": "Sentence 1: Nissan to sell steer-by-wire cars Sentence 2: Nissan to offer steer-by-wire systems in some Infiniti cars", "output": "4 - almost perfectly" }, "1999": { "input": "Sentence 1: Mumbai is 2nd costliest Indian city to live in Sentence 2: Tech capital Bangalore costliest Indian city to live in: Survey", "output": "1 - probably not" }, "2000": { "input": "Sentence 1: Man, 19, quizzed over teen murder Sentence 2: Man quizzed over Megan-Leigh murder", "output": "4 - almost perfectly" }, "2001": { "input": "Sentence 1: Israel kills Hamas commander, bombs Gaza targets Sentence 2: Israel airstrikes kill Hamas commander, 5 others", "output": "3 - probably" }, "2002": { "input": "Sentence 1: Gusmao consolidates power in East Timor elections Sentence 2: Gusmao powers on in East Timor", "output": "4 - almost perfectly" }, "2003": { "input": "Sentence 1: NATO Condemns Syria's Downing of Turkish Military Jet Sentence 2: NATO strongly condemns Syria's downing of Turkish jet", "output": "5 - perfectly" }, "2004": { "input": "Sentence 1: Syria rebels attack Lebanese post near border: army Sentence 2: Turkish army stages tank exercises near Syria border", "output": "1 - probably not" }, "2005": { "input": "Sentence 1: Five killed in China building collapse Sentence 2: At least 20 killed in Syria Saturday", "output": "0 - definitely not" }, "2006": { "input": "Sentence 1: Syrian forces launch new attacks Sentence 2: Syria forces launch Aleppo attack", "output": "3 - probably" }, "2007": { "input": "Sentence 1: Gazans fire 2 rockets into Israel; no injuries Sentence 2: Gazans fire 89 rockets; cabinet approves reserve call-up", "output": "1 - probably not" }, "2008": { "input": "Sentence 1: Former Nazi death camp guard Demjanjuk dead at 91 Sentence 2: John Demjanjuk, convicted Nazi death camp guard, dies aged 91", "output": "5 - perfectly" }, "2009": { "input": "Sentence 1: Boris Johnson re-elected London mayor Sentence 2: Johnson re-elected London mayor", "output": "4 - almost perfectly" }, "2010": { "input": "Sentence 1: Breivik drops far-right salute in court Sentence 2: Breivik gets 21-year sentence", "output": "1 - probably not" }, "2011": { "input": "Sentence 1: French Fear New Serial Killer After Murders Sentence 2: Jersey Murder Trial: Killer 'Hearing Voices'", "output": "1 - probably not" }, "2012": { "input": "Sentence 1: US: Madoff brother to plead guilty in NY in fraud Sentence 2: Madoff's brother to plead guilty to fraud", "output": "4 - almost perfectly" }, "2013": { "input": "Sentence 1: Hollande defeats Sarkozy in French presidency vote Sentence 2: Polls open across France in presidential election", "output": "2 - possibly" }, "2014": { "input": "Sentence 1: Libyan government retakes Tripoli airport Sentence 2: Libyan militia takes control of Tripoli airport", "output": "3 - probably" }, "2015": { "input": "Sentence 1: Clinton warns Kenya of cost of election violence Sentence 2: Clinton warns Kenya on cost of election unrest", "output": "5 - perfectly" }, "2016": { "input": "Sentence 1: Arkansas Supreme Court strikes down execution law Sentence 2: Arkansas Justices Strike Down Death Penalty", "output": "5 - perfectly" }, "2017": { "input": "Sentence 1: S. Africa's former president Mandela discharged from hospital Sentence 2: Mandela Discharged From Hospital", "output": "4 - almost perfectly" }, "2018": { "input": "Sentence 1: UN envoy in Turkey for talks on Syria Sentence 2: NZ to increase exports to China", "output": "0 - definitely not" }, "2019": { "input": "Sentence 1: Islamist Morsi Wins Egypt's Presidential Election Sentence 2: Al-Shater to run in presidential election in Egypt", "output": "1 - probably not" }, "2020": { "input": "Sentence 1: Donna Summer, the queen of disco Sentence 2: Donna Summer, Queen of Disco, Dies at 63", "output": "2 - possibly" }, "2021": { "input": "Sentence 1: Bangladesh Muslims torch Buddhist shrines, police say Sentence 2: Muslims torch Buddhist temples", "output": "4 - almost perfectly" }, "2022": { "input": "Sentence 1: U.S. Drone Kills Five Militants in Pakistan Sentence 2: Six Police Officers Killed in Attacks in Dagestan", "output": "0 - definitely not" }, "2023": { "input": "Sentence 1: Mali future interim president readies to take office Sentence 2: Pope rips into dissident priests on celibacy", "output": "0 - definitely not" }, "2024": { "input": "Sentence 1: 9 killed, 168 injured in latest Cairo clashes Sentence 2: 10 killed, 12 injured in E. 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possibly" }, "2065": { "input": "Sentence 1: US drone strike kills four in North Waziristan Sentence 2: Suspected drone strike kills 4 in Pakistan", "output": "3 - probably" }, "2066": { "input": "Sentence 1: 2 Traffic Accidents Leave 47 Dead in China Sentence 2: 3 traffic accidents leave 56 dead in China", "output": "2 - possibly" }, "2067": { "input": "Sentence 1: Head of CIA resigns over affair Sentence 2: Hall of Fame beckons for Capriati", "output": "0 - definitely not" }, "2068": { "input": "Sentence 1: France's Strauss-Kahn charged with involvement in prostitution vice ring Sentence 2: Strauss-Kahn charged in prostitution vice ring", "output": "4 - almost perfectly" }, "2069": { "input": "Sentence 1: Sony reports record annual loss Sentence 2: Sony forecasts record annual loss of $6.4bn", "output": "4 - almost perfectly" }, "2070": { "input": "Sentence 1: 12 killed in Gaza in Israeli airstrikes Sentence 2: Ictu, Ibec in move on airline strike", "output": "0 - definitely not" }, "2071": { "input": "Sentence 1: 9 killed in attacks after deadly Iraq day Sentence 2: 19 Killed in Iraq Attacks ahead of Ramadan End", "output": "1 - probably not" }, "2072": { "input": "Sentence 1: Barclays hit by fresh U.S. investigations Sentence 2: Barclays hit by fresh US probe", "output": "4 - almost perfectly" }, "2073": { "input": "Sentence 1: US closes embassy in Syria (AP) Sentence 2: Closed roads in Armenia", "output": "0 - definitely not" }, "2074": { "input": "Sentence 1: EU heaps new sanctions on Syria Sentence 2: EU imposes new sanctions on Syrian regime", "output": "4 - almost perfectly" }, "2075": { "input": "Sentence 1: Russians rally against Putin's rule Sentence 2: Tens of thousands rally against Putin's rule (AP)", "output": "3 - probably" }, "2076": { "input": "Sentence 1: Bahrain Grand Prix Underway Amid Protests Sentence 2: Bahrain race goes ahead amid unrest", "output": "4 - almost perfectly" }, "2077": { "input": "Sentence 1: China stocks open flat Monday Sentence 2: Chinese stocks open mixed Wednesday", "output": "1 - probably not" }, "2078": { "input": "Sentence 1: Sheryl Crow says has benign brain tumor Sentence 2: Sheryl Crow Has a Benign Brain Tumor", "output": "5 - 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possibly" }, "2085": { "input": "Sentence 1: East German rights activist Gauck elected president Sentence 2: Joachim Gauck elected as German president", "output": "4 - almost perfectly" }, "2086": { "input": "Sentence 1: South Africa starts investigating mine violence Sentence 2: South Africa hosts 'peace talks' in mine standoff", "output": "2 - possibly" }, "2087": { "input": "Sentence 1: 3 dead, 27 injured in SW China accident Sentence 2: 35 dead and 165 missing in India boat accident", "output": "0 - definitely not" }, "2088": { "input": "Sentence 1: Santorum Romping To Minnesota Victory Sentence 2: Santorum wins Kansas caucuses", "output": "1 - probably not" }, "2089": { "input": "Sentence 1: Space legend Neil Armstrong dies Sentence 2: First man on moon Neil Armstrong dies at 82", "output": "4 - almost perfectly" }, "2090": { "input": "Sentence 1: U.S. and Turkey weigh no-fly zones for Syria Sentence 2: Turkey, US weigh no-fly zones for Syria", "output": "5 - perfectly" }, "2091": { "input": "Sentence 1: Man arrested over double murder Sentence 2: WA man arrested in police drug raid", "output": "1 - probably not" }, "2092": { "input": "Sentence 1: Florida counties extend early voting Sentence 2: Fla. Democrats want extended early voting hours", "output": "3 - probably" }, "2093": { "input": "Sentence 1: Warship sets sail for Falklands Sentence 2: British Warship Sets Sail for Falklands", "output": "4 - almost perfectly" }, "2094": { "input": "Sentence 1: Newcastle 2-0 Liverpool: Match report, pictures & video highlights Sentence 2: QPR 1-2 West Ham: Match report, pictures & video highlights", "output": "1 - probably not" }, "2095": { "input": "Sentence 1: Palestinian prisoners to end hunger strike Sentence 2: Progress reported in Palestinian prisoner hunger strike talks", "output": "3 - probably" }, "2096": { "input": "Sentence 1: Police: Four killed in German hostage taking incident Sentence 2: Palestinians: 12 killed in IDF strike in northern Strip", "output": "1 - probably not" }, "2097": { "input": "Sentence 1: Egypt lets Mubarak PM back in presidential race Sentence 2: Egypt confirms Mubarak's PM back in presidency race", "output": "4 - almost perfectly" }, "2098": { "input": "Sentence 1: Syrian journalists killed in capital Sentence 2: US Marines killed in base attack", "output": "1 - probably not" }, "2099": { "input": "Sentence 1: GOP candidate Romney to call to arm Syrian rebels Sentence 2: US helping get arms to Syria rebels", "output": "2 - possibly" }, "2100": { "input": "Sentence 1: U.N. observer patrol arrives at Syria massacre site Sentence 2: UN observers reach Syria massacre village", "output": "4 - almost perfectly" }, "2101": { "input": "Sentence 1: American Airlines and Pilots Agree on a New Contract Sentence 2: Romney pledges to 'stand with Israel' on Iran threat", "output": "0 - definitely not" }, "2102": { "input": "Sentence 1: Greek PM to announce new election Sentence 2: Greek PM calls for May 6 general election", "output": "3 - probably" }, "2103": { "input": "Sentence 1: Government of Canada Supports Montréal Women Leading Change Sentence 2: Government of Canada Supports Women's Safety in Regina", "output": "2 - possibly" }, "2104": { "input": "Sentence 1: No problem if Mulayam forms Third Front: Congress Sentence 2: No problem if Mulayam forms third front: Digvijay", "output": "3 - probably" }, "2105": { "input": "Sentence 1: Bradley triumphs at Firestone as Furyk fades Sentence 2: Bahrain court upholds sentences against uprising leaders", "output": "0 - definitely not" }, "2106": { "input": "Sentence 1: Plane crash in Ghana kills at least 10 Sentence 2: Plane Crash in Ghana: How the international media reported it", "output": "2 - possibly" }, "2107": { "input": "Sentence 1: Six US troops killed in Afghan bomb attack Sentence 2: 6 NATO troops killed in Afghanistan", "output": "2 - possibly" }, "2108": { "input": "Sentence 1: Syria forces launch Aleppo attack Sentence 2: Syrian forces kill 54 ahead of Annan peace mission", "output": "2 - possibly" }, "2109": { "input": "Sentence 1: Romney, Obama fight for edge on Medicare Sentence 2: Obama, Romney compete for undecideds, stoke base", "output": "1 - probably not" }, "2110": { "input": "Sentence 1: BBC director general resigns over 'shoddy journalism' Sentence 2: BBC Director General Resigns amid Newsnight Scandal", "output": "4 - almost perfectly" }, "2111": { "input": "Sentence 1: Rick Santorum wins Kansas caucuses Sentence 2: Rick Santorum notches a victory in Kansas caucuses", "output": "5 - perfectly" }, "2112": { "input": "Sentence 1: In Islamist-led Egypt, Coptic Church names new pope Sentence 2: Egyptian Christians choose new pope", "output": "3 - probably" }, "2113": { "input": "Sentence 1: US pledge to rebuild Haiti not being met Sentence 2: US Pledge to Rebuild Haiti Not Being Met", "output": "5 - perfectly" }, "2114": { "input": "Sentence 1: Chinese stocks close higher Thursday Sentence 2: Chinese stocks open mixed Wednesday", "output": "1 - probably not" }, "2115": { "input": "Sentence 1: Greece to vote on 2013 budget; protesters gather Sentence 2: Greece to vote on 2013 budget", "output": "4 - almost perfectly" }, "2116": { "input": "Sentence 1: U.S., EU Cautiously Welcome Iran's Proposal To Restart Nuclear Talks Sentence 2: U.S., EU welcome Iran's offer to restart nuclear talks", "output": "4 - almost perfectly" }, "2117": { "input": "Sentence 1: Clinton warns Kenya of cost of election violence Sentence 2: Clinton warns Kenya on repeat of 2007 vote chaos", "output": "3 - probably" }, "2118": { "input": "Sentence 1: Anti-American Protests Over Film Expand to Nearly 20 Countries Sentence 2: Anti-American fury sweeps Middle East over film", "output": "4 - almost perfectly" }, "2119": { "input": "Sentence 1: Journalists hail London Olympics opening Sentence 2: Israeli delegation marches in 2012 Olympics opener", "output": "1 - probably not" }, "2120": { "input": "Sentence 1: Aust stocks open lower Sentence 2: Tokyo stocks open lower", "output": "2 - possibly" }, "2121": { "input": "Sentence 1: WikiLeaks begins publishing two million Syria emails Sentence 2: WikiLeaks Releasing Trove of Syria Documents", "output": "3 - probably" }, "2122": { "input": "Sentence 1: Mali's President Hands in Resignation Sentence 2: Mali's President Formally Resigns", "output": "5 - perfectly" }, "2123": { "input": "Sentence 1: Three killed in Nigeria suicide bombers attack Sentence 2: 60 killed in Nigeria cattle market attack", "output": "1 - probably not" }, "2124": { "input": "Sentence 1: FACTBOX-Security developments in Iraq, February 1 Sentence 2: FACTBOX-Security developments in Pakistan, March 13", "output": "2 - possibly" }, "2125": { "input": "Sentence 1: HRW: Jordan biased against Palestinians from Syria Sentence 2: Jordan biased over Palestinians from Syria", "output": "4 - almost perfectly" }, "2126": { "input": "Sentence 1: Israel among top arms exporters in world: report Sentence 2: Israel among top arms exporters and importers", "output": "4 - almost perfectly" }, "2127": { "input": "Sentence 1: Egyptians to vote for new president Sentence 2: Somali MPs to elect new president", "output": "1 - probably not" }, "2128": { "input": "Sentence 1: Federer Wins 7th Wimbledon Title Sentence 2: Federer captures 7th Wimbledon title", "output": "5 - perfectly" }, "2129": { "input": "Sentence 1: Qaida leader calls for kidnap of Westerners in Egypt Sentence 2: Al-Qaida Leader Urges Kidnapping of Westerners", "output": "4 - almost perfectly" }, "2130": { "input": "Sentence 1: China stocks close mixed Friday Sentence 2: Chinese stocks close higher midday Friday", "output": "3 - probably" }, "2131": { "input": "Sentence 1: 43 killed in bus crash Sentence 2: 15 killed in crash in India", "output": "2 - possibly" }, "2132": { "input": "Sentence 1: Putin sworn in as Russian president Sentence 2: Putin sworn in as Russia's president for 6 years", "output": "4 - almost perfectly" }, "2133": { "input": "Sentence 1: China trade returns to surplus in March Sentence 2: Tense calm returns to south Tel Aviv", "output": "0 - definitely not" }, "2134": { "input": "Sentence 1: Highlights of the Vice Presidential debate Sentence 2: Five things to watch in the presidential debate", "output": "2 - possibly" }, "2135": { "input": "Sentence 1: Full Episode: Nightline 6/29: Katie Holmes, Tom Cruise to Divorce Sentence 2: Custody, images at stake in Cruise-Holmes divorce", "output": "1 - probably not" }, "2136": { "input": "Sentence 1: Syrian regime denies role in Houla massacre Sentence 2: Syria blames rebels for Houla massacre of over 100", "output": "3 - probably" }, "2137": { "input": "Sentence 1: South Sudan accuses Sudan of bombings ahead of talks Sentence 2: S. Sudan accuses Sudan of bombing in blow to talks", "output": "4 - almost perfectly" }, "2138": { "input": "Sentence 1: Nine killed in gun attack in Pakistan Sentence 2: Five million citizens get unofficial salary in Ukraine", "output": "0 - definitely not" }, "2139": { "input": "Sentence 1: Syria demands guarantees, rebels say peace plan doomed Sentence 2: Syria demands written guarantee for troop pullback", "output": "3 - probably" }, "2140": { "input": "Sentence 1: Minn. terminal reopens after evacuation Sentence 2: Minn. Terminal Reopens After Bag Causes Evacuation", "output": "4 - almost perfectly" }, "2141": { "input": "Sentence 1: Golf: Westwood takes lead in Dubai Desert Classic Sentence 2: Westwood in front a Dubai Desert Classic", "output": "4 - almost perfectly" }, "2142": { "input": "Sentence 1: Sudan Blocks YouTube Over Anti-Islam Film Sentence 2: Pakistan's PM orders YouTube halt over anti-Islam film", "output": "3 - probably" }, "2143": { "input": "Sentence 1: Polls open in Russian presidential election Sentence 2: Polls close in Senegal's presidential election", "output": "1 - probably not" }, "2144": { "input": "Sentence 1: Chavez leaves again for Cuba for radiotherapy Sentence 2: Chavez set for more radiotherapy in Cuba", "output": "4 - almost perfectly" }, "2145": { "input": "Sentence 1: Romanian president declared victory Sentence 2: Chinese president concludes state visit to Denmark", "output": "1 - probably not" }, "2146": { "input": "Sentence 1: Russians rally support for Orthodox church over Pussy Riot controversy Sentence 2: Russian Orthodox Church rallies faithful after criticism", "output": "4 - almost perfectly" }, "2147": { "input": "Sentence 1: Clinton lands in India to breathe life into ties Sentence 2: Clinton Warns Against Undermining Grameen Bank", "output": "1 - probably not" }, "2148": { "input": "Sentence 1: Mali interim leader takes office Sentence 2: Mali's Interim President Sworn Into Office", "output": "4 - almost perfectly" }, "2149": { "input": "Sentence 1: Putin Declares Victory In Russian Presidential Vote Sentence 2: Putin 'wins' Russia's presidential election", "output": "4 - almost perfectly" }, "2150": { "input": "Sentence 1: AL renews condemnation on Syria's violence Sentence 2: U.S. closes embassy in Damascus due to Syria violence", "output": "2 - possibly" }, "2151": { "input": "Sentence 1: EU slaps sanctions on Assad family Sentence 2: EU sanctions Assad's wife; mortars hit Homs", "output": "3 - probably" }, "2152": { "input": "Sentence 1: Air Force Instructor Faces Sentencing for Rape Sentence 2: Women testify at Air Force instructor's sentencing", "output": "2 - possibly" }, "2153": { "input": "Sentence 1: More than 30 striking miners killed Sentence 2: More than 30 striking miners killed in South Africa", "output": "4 - almost perfectly" }, "2154": { "input": "Sentence 1: Iron Dome intercepts 17 rockets Sentence 2: Iron Dome intercepts two rockets fired at Beersheba", "output": "3 - probably" }, "2155": { "input": "Sentence 1: Mali Islamists destroying 'more Timbuktu shrines' Sentence 2: Mali Islamists destroy more holy Timbuktu sites", "output": "4 - almost perfectly" }, "2156": { "input": "Sentence 1: China stocks end higher on PMI at midday Sentence 2: Chinese stocks open higher Thursday", "output": "2 - possibly" }, "2157": { "input": "Sentence 1: Scientists Resurrect Flowers from Prehistoric Seeds Sentence 2: Nintendo trims red ink, lowers forecast for year", "output": "0 - definitely not" }, "2158": { "input": "Sentence 1: Man convicted in Vatican leaks case Sentence 2: Butler to be tried in \"Vatileaks\" case", "output": "3 - probably" }, "2159": { "input": "Sentence 1: Romney, Paul vie for Maine caucus win Sentence 2: Romney has narrow Maine caucus win", "output": "3 - probably" }, "2160": { "input": "Sentence 1: Sectarian clashes rock Lebanese city of Tripoli Sentence 2: Sectarian clashes rock Lebanese city, 3 killed", "output": "4 - almost perfectly" }, "2161": { "input": "Sentence 1: Repsol blasts Argentina over nationalization of YPF Sentence 2: Repsol blasts Argentina over oil nationalization", "output": "3 - probably" }, "2162": { "input": "Sentence 1: Several dead, 550 injured in Argentina train crash Sentence 2: 49 feared dead in Buenos Aires train crash", "output": "1 - probably not" }, "2163": { "input": "Sentence 1: Sheriff: Man recovers stolen car 42 years later Sentence 2: US man recovers car 42 years after theft", "output": "4 - almost perfectly" }, "2164": { "input": "Sentence 1: Google CEO says Android important, not critical Sentence 2: Larry Page says Android important, not critical", "output": "4 - almost perfectly" }, "2165": { "input": "Sentence 1: Factory Fires Kill At Least 260 in Pakistan Sentence 2: At Least Six Dead in Pakistan Gunfight", "output": "1 - probably not" }, "2166": { "input": "Sentence 1: Australian among four on plane missing in Indonesia Sentence 2: Iranian painter Mansoureh Hosseini dies", "output": "0 - definitely not" }, "2167": { "input": "Sentence 1: Romney vows to restore 'promise of America' Sentence 2: Romney Promises to 'Restore America'", "output": "4 - almost perfectly" }, "2168": { "input": "Sentence 1: Santorum's 3-year-old daughter hospitalized Sentence 2: 'Kony 2012' director hospitalized", "output": "1 - probably not" }, "2169": { "input": "Sentence 1: Mandela released from hospital Sentence 2: Israeli president released from hospital", "output": "1 - probably not" }, "2170": { "input": "Sentence 1: Hezbollah's Nasrallah warns US over anti-Islam film Sentence 2: Hezbollah calls for more anti-Islam film protests", "output": "3 - probably" }, "2171": { "input": "Sentence 1: Nadal tops Djokovic for 7th French Open title Sentence 2: Tennis: Nadal defeats Djokovic for Monte Carlo title", "output": "3 - probably" }, "2172": { "input": "Sentence 1: Childcare costs rise by nearly 6% Sentence 2: Childcare 'costing £15,000 a year'", "output": "3 - probably" }, "2173": { "input": "Sentence 1: Obama urges decisive action on Europe debt crisis Sentence 2: Obama urges Europe to act quickly on crisis", "output": "3 - probably" }, "2174": { "input": "Sentence 1: Beef burger mix recalled over salmonella concerns Sentence 2: Choc powder recalled over salmonella concerns", "output": "1 - probably not" }, "2175": { "input": "Sentence 1: Obama, Romney Prepare for First Debate Sentence 2: Obama, Romney prepare to debate", "output": "4 - almost perfectly" }, "2176": { "input": "Sentence 1: First significant gas found offshore Kenya Sentence 2: Raiders kill 38 in latest land clashes in Kenya", "output": "1 - probably not" }, "2177": { "input": "Sentence 1: Red Cross worker killed in Pakistan Sentence 2: Kidnapped UK aid worker killed in Pakistan", "output": "2 - possibly" }, "2178": { "input": "Sentence 1: 8 rockets fired from Gaza into southern Israel; none hurt Sentence 2: Ten rockets from Gaza land in southern Israel; none hurt", "output": "3 - probably" }, "2179": { "input": "Sentence 1: U.S. soldier killed in shooting incident in S. Afghanistan Sentence 2: Five NATO soldiers killed in Afghanistan", "output": "2 - possibly" }, "2180": { "input": "Sentence 1: Polls close in Egyptian presidential election Sentence 2: Press Releases: Yemeni Presidential Election", "output": "1 - probably not" }, "2181": { "input": "Sentence 1: Police 'did not link' Savile claims Sentence 2: BBC faces questions for pulling Savile case", "output": "1 - probably not" }, "2182": { "input": "Sentence 1: Eurozone unemployment stays at record 11 percent Sentence 2: Eurozone unemployment hits record high", "output": "3 - probably" }, "2183": { "input": "Sentence 1: James Murdoch quits BSkyB Sentence 2: James Murdoch quits role at BSkyB", "output": "4 - almost perfectly" }, "2184": { "input": "Sentence 1: Iconic science fiction writer Ray Bradbury dies at 91 Sentence 2: Science fiction legend Ray Bradbury dead at 91", "output": "5 - perfectly" }, "2185": { "input": "Sentence 1: Egypt presidential election May 23-24 Sentence 2: US presidential election 2012", "output": "1 - probably not" }, "2186": { "input": "Sentence 1: Four French soldiers killed in Afghan suicide blast Sentence 2: Four foreign soldiers killed in Afghan east", "output": "3 - probably" }, "2187": { "input": "Sentence 1: UN observers find traces of Syrian massacre Sentence 2: UN team investigates Syrian massacre", "output": "4 - almost perfectly" }, "2188": { "input": "Sentence 1: AP poll: Majority in US have prejudice against blacks Sentence 2: AP Poll: Majority Harbor Prejudice Against Blacks", "output": "4 - almost perfectly" }, "2189": { "input": "Sentence 1: AP Source: Redskins to trade for No. 2 pick Sentence 2: Redskins trade for No. 2 pick", "output": "4 - almost perfectly" }, "2190": { "input": "Sentence 1: China says defense budget to rise 11.2% in 2012 Sentence 2: China's defence spending to rise 11.2%", "output": "4 - almost perfectly" }, "2191": { "input": "Sentence 1: String of Iraq blasts kills at least 32 Sentence 2: Strong Italy Quake Kills at Least Six", "output": "0 - definitely not" }, "2192": { "input": "Sentence 1: Ecuador President Correa says no decision made on Assange asylum Sentence 2: Ecuador yet to decide on Assange's asylum", "output": "4 - almost perfectly" }, "2193": { "input": "Sentence 1: US offers US$10 mil. for Pakistan militant Sentence 2: US offers $10 million for Pakistani militant chief", "output": "4 - almost perfectly" }, "2194": { "input": "Sentence 1: 6 NATO troops killed in Afghanistan IED attack Sentence 2: 6 NATO troops killed in Afghanistan", "output": "4 - almost perfectly" }, "2195": { "input": "Sentence 1: Osama Bin Laden Wives to Be Jailed Sentence 2: Osama Bin Laden movie to be filmed in India", "output": "1 - probably not" }, "2196": { "input": "Sentence 1: Egyptians vote in landmark presidential election Sentence 2: Egyptians go to polls in historic election", "output": "4 - almost perfectly" }, "2197": { "input": "Sentence 1: JetBlue pilot who disrupted flight declared insane, not guilty Sentence 2: JetBlue pilot who caused disruption on flight not guilty", "output": "4 - almost perfectly" }, "2198": { "input": "Sentence 1: Tsunami warning: No need for SA to panic Sentence 2: Tsunami warning after Aceh quake", "output": "2 - possibly" }, "2199": { "input": "Sentence 1: US Hands Over Bagram Prison to Afghan Authorities Sentence 2: U.S. transfers Bagram prison to Afghan control", "output": "5 - perfectly" }, "2200": { "input": "Sentence 1: Obama praises U.S.-Latin America trade ties Sentence 2: Obama Secret Service agents sent home", "output": "0 - definitely not" }, "2201": { "input": "Sentence 1: Blitzbokke ousted by Fiji Sentence 2: Blitzbokke beaten by NZ", "output": "2 - possibly" }, "2202": { "input": "Sentence 1: Obama and Romney focus on swing-states Sentence 2: Team Anna yet to decide on contesting state polls", "output": "0 - definitely not" }, "2203": { "input": "Sentence 1: 'Grenade attack' kills one and injures at least 11 Sentence 2: Sex attack on woman investigated", "output": "0 - definitely not" }, "2204": { "input": "Sentence 1: 'Scores of bodies' found in Syria Sentence 2: Eight more bodies found on ship", "output": "1 - probably not" }, "2205": { "input": "Sentence 1: Shooter charged with murder of US black teen Sentence 2: Thoughts on race relations under a black president", "output": "1 - probably not" }, "2206": { "input": "Sentence 1: Jonny Bairstow and Eoin Morgan shine for England in Mumbai Sentence 2: Bairstow hits ton in India tour match", "output": "2 - possibly" }, "2207": { "input": "Sentence 1: US drone kills six militants in Pakistan: officials Sentence 2: US missiles kill 15 in Pakistan: officials", "output": "2 - possibly" }, "2208": { "input": "Sentence 1: Nigeria: Nigerian troops swarm after 40 killed in student massacre Sentence 2: Nigeria police make arrests after college massacre", "output": "3 - probably" }, "2209": { "input": "Sentence 1: Heavy Fighting Reported in Syria's Aleppo Sentence 2: Heavy fighting reported in Damascus", "output": "1 - probably not" }, "2210": { "input": "Sentence 1: France says Greece must show credibility for eurozone Sentence 2: France's Hollande backs Greece but urges credible reform", "output": "2 - possibly" }, "2211": { "input": "Sentence 1: Avengers sets box office record Sentence 2: The Hunger Games breaks US box office record", "output": "1 - probably not" }, "2212": { "input": "Sentence 1: 4 French Soldiers Reported Killed in Afghanistan Sentence 2: British Soldier Killed In Afghanistan", "output": "1 - probably not" }, "2213": { "input": "Sentence 1: Spanish bailout dilemma gets more acute Sentence 2: Spanish dilemma gets more acute", "output": "3 - probably" }, "2214": { "input": "Sentence 1: NATO soldier dies in Afghanistan Sentence 2: Two Aust soldiers wounded in Afghanistan", "output": "1 - probably not" }, "2215": { "input": "Sentence 1: Chinese stocks open lower Wednesday Sentence 2: China stocks open lower Friday", "output": "2 - possibly" }, "2216": { "input": "Sentence 1: Palestinian leadership condemn Israeli FM call to oust Abbas Sentence 2: Palestinian leadership backs Fatah-Hamas Doha deal", "output": "1 - probably not" }, "2217": { "input": "Sentence 1: Mitt Romney wins Maryland GOP primary Sentence 2: Romney wins Maryland Republican primary", "output": "5 - perfectly" }, "2218": { "input": "Sentence 1: Sylvester Stallone's son found dead in Hollywood Sentence 2: Sylvester Stallone’s son, Sage Stallone, found dead in Hol", "output": "3 - probably" }, "2219": { "input": "Sentence 1: NATO: 4 aid workers rescued from Afghan insurgents Sentence 2: 5 aid workers freed in operation in Afghanistan", "output": "3 - probably" }, "2220": { "input": "Sentence 1: Russia jails Pussy Riot protest punks for two years Sentence 2: Russian court to rule in Pussy Riot trial", "output": "2 - possibly" }, "2221": { "input": "Sentence 1: Israel bars German writer Grass from visiting over poem Sentence 2: Israel bars German author Grass over poem", "output": "4 - almost perfectly" }, "2222": { "input": "Sentence 1: The Note's Must-Reads for August 1, 2012 Sentence 2: The Note's Must Reads for Wednesday July 4, 2012", "output": "2 - possibly" }, "2223": { "input": "Sentence 1: NATO US troop detained over shooting of Afghan civilians Sentence 2: U.S. says saddened by shooting on Afghan civilians", "output": "2 - possibly" }, "2224": { "input": "Sentence 1: Hollande wins French presidential election Sentence 2: East Timor votes in presidential election", "output": "2 - possibly" }, "2225": { "input": "Sentence 1: Military: Syria chemical stocks threaten Israel Sentence 2: Russia tells Syria chemical arms threat is unacceptable", "output": "2 - possibly" }, "2226": { "input": "Sentence 1: Fitch upgrades Ford to investment grade Sentence 2: Fitch restores Ford credit to investment grade", "output": "4 - almost perfectly" }, "2227": { "input": "Sentence 1: Syria peace plan conditions “unacceptable,” opposition says Sentence 2: Syria peace dashed as deadline passes", "output": "2 - possibly" }, "2228": { "input": "Sentence 1: Clashes as Greeks protest against more cutbacks Sentence 2: Clashes erupt as Greek vote nears", "output": "2 - possibly" }, "2229": { "input": "Sentence 1: 9 dead, 11 hurt, 4 missing in Mont Blanc avalanche Sentence 2: 6 dead, several missing in Mont Blanc avalanche", "output": "2 - possibly" }, "2230": { "input": "Sentence 1: China activist Chen lands in US Sentence 2: Chinese activist renews call to fight injustice", "output": "1 - probably not" }, "2231": { "input": "Sentence 1: City Room: Empire State Building Shooting Sentence 2: 2 dead in shooting outside Empire State Building", "output": "3 - probably" }, "2232": { "input": "Sentence 1: Mohamed Morsi sworn in as Eygptian president Sentence 2: Mursi sworn in as Egyptian president", "output": "4 - almost perfectly" }, "2233": { "input": "Sentence 1: Attack on Nato base in Afghanistan kills 15 Sentence 2: Aid workers freed in Afghanistan raid", "output": "1 - probably not" }, "2234": { "input": "Sentence 1: Yemen Suicide Blast, Drone Attack Kill At Least 30 Sentence 2: Spate of Iraq attacks kill at least six", "output": "1 - probably not" }, "2235": { "input": "Sentence 1: Torres moving on after Olympic bid fails Sentence 2: Torres finishes 4th, misses out on sixth Olympics", "output": "3 - probably" }, "2236": { "input": "Sentence 1: Pakistan begins demolition of bin Laden compound Sentence 2: Pakistan demolishes Osama bin Laden hideout", "output": "3 - probably" }, "2237": { "input": "Sentence 1: Sudan blames Israel for Khartoum arms fire Sentence 2: Sudan accuses Israel of airstrike on arms factory", "output": "4 - almost perfectly" }, "2238": { "input": "Sentence 1: House-Senate deal reached on payroll tax measure Sentence 2: Negotiators reach deal on Congress payroll tax cut bill", "output": "4 - almost perfectly" }, "2239": { "input": "Sentence 1: Tropical Storm Isaac drenches Haiti, swipes Cuba Sentence 2: Tropical Storm Isaac threatens dam", "output": "1 - probably not" }, "2240": { "input": "Sentence 1: Foreign pro-Palestinian activists seek to enter West Bank Sentence 2: 100 pro-Palestinians seek to enter Israel at Allenby", "output": "2 - possibly" }, "2241": { "input": "Sentence 1: World stocks rise on hopes for EU, US stimulus Sentence 2: Stocks rise on hopes for a Fed stimulus", "output": "3 - probably" }, "2242": { "input": "Sentence 1: World stocks fall before Greek debt deal deadline Sentence 2: Asia stocks fall ahead of Greek debt deal deadline", "output": "2 - possibly" }, "2243": { "input": "Sentence 1: South Africa police shot dead 30 miners Sentence 2: South Africa police say they killed 30+ miners", "output": "4 - almost perfectly" }, "2244": { "input": "Sentence 1: Isaac drenches Haiti, heads toward Cuba, Florida Sentence 2: Isaac nears Haiti with homeless quake population", "output": "2 - possibly" }, "2245": { "input": "Sentence 1: Britain reaches out to Syria opposition Sentence 2: Who cares about the Syrian people?", "output": "1 - probably not" }, "2246": { "input": "Sentence 1: Obama relaxes deportation rules for young immigrants Sentence 2: U.S. relaxes deportation rules for young people: Napolitano", "output": "4 - almost perfectly" }, "2247": { "input": "Sentence 1: Microsoft's Surface a big bet on future: Analysts Sentence 2: Microsoft's Surface tablet promising, but questions remain", "output": "4 - almost perfectly" }, "2248": { "input": "Sentence 1: 'Whitey' Bulger's girlfriend gets 8 years Sentence 2: Mobster \"Whitey\" Bulger's girlfriend gets 8 years", "output": "4 - almost perfectly" }, "2249": { "input": "Sentence 1: Mauritanian president shot by army unit Sentence 2: Mauritanian president shot at", "output": "4 - almost perfectly" }, "2250": { "input": "Sentence 1: Man sets himself on fire at Breivik trial Sentence 2: Man sets self afire outside Breivik trial", "output": "5 - perfectly" }, "2251": { "input": "Sentence 1: U.S. drone strike kills 10 in northwest Pakistan Sentence 2: US drone in Pakistan kills 10 suspected militants", "output": "4 - almost perfectly" }, "2252": { "input": "Sentence 1: 9,000 U.S. Marines to leave Okinawa Sentence 2: 9,000 U.S. Marines to move out of Okinawa: statement", "output": "5 - perfectly" }, "2253": { "input": "Sentence 1: Toys R Us waives fee for layaway program Sentence 2: Wal-Mart lowers fee for holiday layaway program", "output": "2 - possibly" }, "2254": { "input": "Sentence 1: Iran expands nuclear enrichment activities: IAEA report Sentence 2: Iran steps up sensitive nuclear work - IAEA", "output": "3 - probably" }, "2255": { "input": "Sentence 1: Donna Summer, Queen of Disco, dies at 63 Sentence 2: Donna Summer, the queen of disco", "output": "3 - probably" }, "2256": { "input": "Sentence 1: Iraqi Attacks Kill General, Four Police Sentence 2: Attacks in Iraq kill general and 4 others", "output": "4 - almost perfectly" }, "2257": { "input": "Sentence 1: At least 80 dead in northwest Iran quakes Sentence 2: 180 dead, 1,300 injured in northwest Iran earthquakes", "output": "3 - probably" }, "2258": { "input": "Sentence 1: Brazil's 'pop-star priest' gets mammoth new stage Sentence 2: Brazil's 'Pop-Star Priest' Gets Mammoth New Stage", "output": "5 - perfectly" }, "2259": { "input": "Sentence 1: Washington: More Than 100 Are Charged in Medicare Fraud Sweep Sentence 2: Washington: Court Upholds Voting Rights Act in Alabama Case", "output": "1 - probably not" }, "2260": { "input": "Sentence 1: Putin claims victory in Russia's presidential election Sentence 2: Putin claims victory in presidential vote", "output": "4 - almost perfectly" }, "2261": { "input": "Sentence 1: Clinton ready to fight for Obama Sentence 2: Clinton a tough act for Obama to follow", "output": "1 - probably not" }, "2262": { "input": "Sentence 1: Romney announces Paul Ryan as running mate Sentence 2: Romney chooses Ryan as GOP running mate", "output": "4 - almost perfectly" }, "2263": { "input": "Sentence 1: European markets rise on Greek bailout hopes Sentence 2: European Ministers Are Poised to Approve Greek Rescue", "output": "2 - possibly" }, "2264": { "input": "Sentence 1: Edwards Acquitted on 1 Count, Mistrial on Others Sentence 2: Edwards found not guilty on one count; mistrial on others", "output": "5 - perfectly" }, "2265": { "input": "Sentence 1: Ukrainian weightlifter gets four-year doping ban Sentence 2: Ukraine's Korobka gets four-year doping ban", "output": "4 - almost perfectly" }, "2266": { "input": "Sentence 1: Gunman may have filmed school massacre Sentence 2: Killer may have filmed France school shooting", "output": "3 - probably" }, "2267": { "input": "Sentence 1: Hong Kong stocks close down 0.28% Sentence 2: Hong Kong stocks open 0.62 pct higher", "output": "2 - possibly" }, "2268": { "input": "Sentence 1: Suicide bomber attacks Algerian security base Sentence 2: Suicide bomber targets Nigerian church", "output": "1 - probably not" }, "2269": { "input": "Sentence 1: Thailand: Iranians planned to attack Israelis Sentence 2: Malaysia to extradite Iranian for attack on Israelis", "output": "1 - probably not" }, "2270": { "input": "Sentence 1: Israeli military court rejects appeal of Palestinian hunger striker Sentence 2: Israel reaches deal with Palestinian hunger strikers", "output": "1 - probably not" }, "2271": { "input": "Sentence 1: Avengers sets box office record Sentence 2: 'Hunger Games' sets box office records", "output": "2 - possibly" }, "2272": { "input": "Sentence 1: Putin 'Wins Russian Presidential Election' Sentence 2: Putin 'wins' Russia's presidential election", "output": "4 - almost perfectly" }, "2273": { "input": "Sentence 1: Putin casts ballot as Russians vote Sentence 2: Putin to win Russia's presidential election", "output": "1 - probably not" }, "2274": { "input": "Sentence 1: Libyans begin handing in weapons Sentence 2: Libyans transfer weapons to army", "output": "3 - probably" }, "2275": { "input": "Sentence 1: British Archbishop of Canterbury changes career to Cambridge Sentence 2: Archbishop of Canterbury to step down amid rifts", "output": "2 - possibly" }, "2276": { "input": "Sentence 1: Punjab Mail derails near Rohtak, 19 injured Sentence 2: Punjab Mail derails near Rohtak in Haryana, 19 injured", "output": "4 - almost perfectly" }, "2277": { "input": "Sentence 1: Indian Maoist rebels offer talks to free Italian hostages Sentence 2: India: Maoist rebels in talks on freeing Italians", "output": "4 - almost perfectly" }, "2278": { "input": "Sentence 1: Five dead in Pakistan suicide blast Sentence 2: At least 63 dead in Pakistan factory blaze", "output": "1 - probably not" }, "2279": { "input": "Sentence 1: Penn State football players react to sanctions Sentence 2: Penn State football slammed with NCAA sanctions", "output": "2 - possibly" }, "2280": { "input": "Sentence 1: Israel must release or try Palestinian on prolonged hunger strike Sentence 2: Israeli minister wants Palestinian leader's ouster", "output": "0 - definitely not" }, "2281": { "input": "Sentence 1: UN report says both sides in Syria abuse rights Sentence 2: NATO leader plays down risk of Turkey-Syria clash", "output": "1 - probably not" }, "2282": { "input": "Sentence 1: Girl accused of burning Koran goes into hiding Sentence 2: Girl accused of burning Koran bailed", "output": "3 - probably" }, "2283": { "input": "Sentence 1: France warns Syria over chemical weapons use Sentence 2: U.N. concerned at possible Syria chemical weapons", "output": "2 - possibly" }, "2284": { "input": "Sentence 1: Life-threatening Midwest storms feared Sentence 2: 'Life-Threatening' Storms Feared for Midwest", "output": "4 - almost perfectly" }, "2285": { "input": "Sentence 1: Chicago teacher strike nears end with 'framework' agreement in place Sentence 2: General strike ends: Histadrut, Treasury reach agreement", "output": "1 - probably not" }, "2286": { "input": "Sentence 1: Indonesian president to visit UK Sentence 2: Indonesian president to visit Australia", "output": "1 - probably not" }, "2287": { "input": "Sentence 1: Storm delays start of Republican convention Sentence 2: Storm lashes Florida, delaying Republican convention", "output": "4 - almost perfectly" }, "2288": { "input": "Sentence 1: At least two Nato killed in Afghanistan helicopter crash: military Sentence 2: At least 18 killed in Afghan bomb attacks: officials", "output": "1 - probably not" }, "2289": { "input": "Sentence 1: President Mills must quit - Lecturer Sentence 2: President John Evans Atta-Mills Must Resign Now -NPP Germany", "output": "3 - probably" }, "2290": { "input": "Sentence 1: Miami Heat wins NBA Finals Sentence 2: Miami Heat clinches NBA Championship", "output": "5 - perfectly" }, "2291": { "input": "Sentence 1: Japan closes last nuclear reactor Sentence 2: Japan switches off last nuclear power plant this weekend", "output": "4 - almost perfectly" }, "2292": { "input": "Sentence 1: Ryanair in new bid for Aer Lingus Sentence 2: Ryanair chief hails report findings", "output": "1 - probably not" }, "2293": { "input": "Sentence 1: Russian Air Force celebrates 100th anniversary Sentence 2: Russian air force's 100th anniversary", "output": "4 - almost perfectly" }, "2294": { "input": "Sentence 1: 6 NATO troops killed in Afghanistan Sentence 2: NATO Soldier Killed in Afghanistan", "output": "2 - possibly" }, "2295": { "input": "Sentence 1: Not so Super Tuesday for Mitt Romney Sentence 2: Romney leads Santorum in GOP Super Tuesday contests", "output": "2 - possibly" }, "2296": { "input": "Sentence 1: Putin sworn in as Russian growth falters Sentence 2: Putin sworn in as Russia's president for 6 years", "output": "2 - possibly" }, "2297": { "input": "Sentence 1: ArQule, Daiichi stop lung cancer trial, shares tank Sentence 2: ArQule stock plunges as lung cancer study shelved", "output": "3 - probably" }, "2298": { "input": "Sentence 1: Teenager and father killed in crash Sentence 2: Three killed in horror crash are named", "output": "2 - possibly" }, "2299": { "input": "Sentence 1: 6.1-magnitude quake strikes Indonesia Sentence 2: 6.1-magnitude quake hits Papua, Indonesia -- USGS", "output": "4 - almost perfectly" }, "2300": { "input": "Sentence 1: 2 Americans Killed as Afghan Unrest Enters Fifth Day Sentence 2: Two American Officers Murdered As Afghan Unrest Continues", "output": "4 - almost perfectly" }, "2301": { "input": "Sentence 1: Officials: Romney to get Secret Service protection Sentence 2: Obama addresses Secret Service scandal", "output": "1 - probably not" }, "2302": { "input": "Sentence 1: Japan PM calls for quicker tsunami waste processing Sentence 2: Japan marks one year since quake and tsunami disaster", "output": "1 - probably not" }, "2303": { "input": "Sentence 1: Syrian fighter pilot defects to Jordan Sentence 2: Syrian PM defects to Jordan", "output": "1 - probably not" }, "2304": { "input": "Sentence 1: Suicide bomber kills 16 in Afghanistan Sentence 2: Suicide bomber kills 12 in Nigeria church", "output": "1 - probably not" }, "2305": { "input": "Sentence 1: Airlines cancel 'flytilla' activists' tickets to TA Sentence 2: UK Airline Cancels 'Flytilla' Tickets on Israel Objections", "output": "3 - probably" }, "2306": { "input": "Sentence 1: Spain asks for bank rescue Sentence 2: Spaniard on trial for Cuban dissident’s death", "output": "0 - definitely not" }, "2307": { "input": "Sentence 1: The murky waters of the South China Sea Sentence 2: Peace lies over the South China Sea", "output": "1 - probably not" }, "2308": { "input": "Sentence 1: Sri Lanka seek one-day revival against Pakistan Sentence 2: Senior journalist killed in Pakistan", "output": "1 - probably not" }, "2309": { "input": "Sentence 1: SpaceX docks with International Space Station: Up next, public travel? Sentence 2: SpaceX Dragon Docks With International Space Station", "output": "4 - almost perfectly" }, "2310": { "input": "Sentence 1: 'Million Muppet March' to defend Obama backing of PBS Sentence 2: Million Muppet March planned to defend U.S. backing for PBS", "output": "4 - almost perfectly" }, "2311": { "input": "Sentence 1: Syrian opposition in reconciliation talks Sentence 2: Syrian Opposition Council to Establish Envoy in France", "output": "1 - probably not" }, "2312": { "input": "Sentence 1: Sensex down 193 points on budget blues Sentence 2: Romney won't volunteer budget differences", "output": "1 - probably not" }, "2313": { "input": "Sentence 1: Facebook boosts size of IPO by 25pc to raise $15bn Sentence 2: Facebook boosts size of IPO by 25 percent", "output": "4 - almost perfectly" }, "2314": { "input": "Sentence 1: Iran's Parliament Questions A Dismissive Ahmadinejad Sentence 2: Iran's parliament questions President Ahmadinejad", "output": "4 - almost perfectly" }, "2315": { "input": "Sentence 1: Yemen suicide attack kills 7 soldiers: officials Sentence 2: Afghan suicide car bomb kills at least seven: officials", "output": "2 - possibly" }, "2316": { "input": "Sentence 1: Presidential vote polarises Egyptians Sentence 2: GOP presidential hopefuls clash in Southern races", "output": "1 - probably not" }, "2317": { "input": "Sentence 1: Three more US soldiers killed in Afghanistan Sentence 2: NATO Soldier Killed in Afghanistan", "output": "2 - possibly" }, "2318": { "input": "Sentence 1: Police raise death toll in bus accident to 8 Sentence 2: Rodney King death ruled accidental", "output": "0 - definitely not" }, "2319": { "input": "Sentence 1: Four foreign soldiers killed in Afghan east Sentence 2: 2 British soldiers killed in Afghan insider attack", "output": "1 - probably not" }, "2320": { "input": "Sentence 1: Red Cross worker killed in Pakistan Sentence 2: British Red Cross doctor kidnapped in Pakistan found beheaded", "output": "4 - almost perfectly" }, "2321": { "input": "Sentence 1: Afghan, US govts sign deal on controversial night raid Sentence 2: Afghans, US sign deal on night raids", "output": "4 - almost perfectly" }, "2322": { "input": "Sentence 1: China mine accident kills 10 Sentence 2: China truck accident kills 20", "output": "2 - possibly" }, "2323": { "input": "Sentence 1: Australia can eclipse England in Windies Sentence 2: Australian PM defiant under pressure over leadership", "output": "0 - definitely not" }, "2324": { "input": "Sentence 1: Protests at Pussy Riot verdict Sentence 2: Pussy Riot verdict greeted with defiance", "output": "3 - probably" }, "2325": { "input": "Sentence 1: Secret Service sees its 'biggest scandal' over prostitutes Sentence 2: Secret Service sex scandal 'regret'", "output": "2 - possibly" }, "2326": { "input": "Sentence 1: Kuwait: Activists storm Syrian embassy; two injured Sentence 2: Activists storm Syria embassy in Kuwait", "output": "3 - probably" }, "2327": { "input": "Sentence 1: Details of Aung San Suu Kyi's visit to Ireland Sentence 2: Rapturous welcome for Aung San Suu Kyi's historic trip", "output": "3 - probably" }, "2328": { "input": "Sentence 1: Key says marae visit a lost opportunity Sentence 2: Key wants Waitangi marae visit to stay", "output": "2 - possibly" }, "2329": { "input": "Sentence 1: Norway marks anniversary of massacre Sentence 2: Norway Marks Anniversary of Breivik's Massacre", "output": "4 - almost perfectly" }, "2330": { "input": "Sentence 1: Woman killed by falling debris Sentence 2: When an ally declines", "output": "0 - definitely not" }, "2331": { "input": "Sentence 1: Aust shares up 1% after interest rate cut Sentence 2: RBA delivers another rate cut", "output": "1 - probably not" }, "2332": { "input": "Sentence 1: Germany warns Greece: No more money without reforms Sentence 2: Euro zone to Greece: No rescue without reforms", "output": "3 - probably" }, "2333": { "input": "Sentence 1: Obama to meet families of shooting victims Sentence 2: Obama to meet Batman gun victims", "output": "3 - probably" }, "2334": { "input": "Sentence 1: Obama widens lead over Romney despite jobs data: Reuters/Ipsos poll Sentence 2: Romney takes lead over Obama with convention \"bounce\": Reuters/Ipsos poll", "output": "1 - probably not" }, "2335": { "input": "Sentence 1: Two killed, 19 injured in Toronto shooting Sentence 2: Two dead, 7 injured in Finland shooting", "output": "1 - probably not" }, "2336": { "input": "Sentence 1: Anti-Putin protesters form human chain in Moscow Sentence 2: Anti-Putin protesters form human chain", "output": "4 - almost perfectly" }, "2337": { "input": "Sentence 1: Washington's Acts of Congress sells for $9.8M Sentence 2: George Washington's copy of US Constitution sells for $9.8m", "output": "3 - probably" }, "2338": { "input": "Sentence 1: Lakers Fire Coach Mike Brown After 1-4 Start Sentence 2: Lakers fire Mike Brown after 1-4 start", "output": "4 - almost perfectly" }, "2339": { "input": "Sentence 1: Canadian Muslims issue fatwa against 'honor killing' Sentence 2: US, Canadian imams issue fatwa against honour killings", "output": "3 - probably" }, "2340": { "input": "Sentence 1: U.N. to take up Syria resolution Sentence 2: UN Assembly to Vote on Syria Resolution", "output": "4 - almost perfectly" }, "2341": { "input": "Sentence 1: Soldier 'can't recall' massacre Sentence 2: US soldier ‘doesn’t recall massacre’", "output": "4 - almost perfectly" }, "2342": { "input": "Sentence 1: Libya PM names new cabinet after protests over original Sentence 2: Libyan assembly rejects new cabinet, dismisses PM", "output": "1 - probably not" }, "2343": { "input": "Sentence 1: 4 foreign soldiers killed in Afghan east Sentence 2: 4 French Soldiers Reported Killed in Afghanistan", "output": "4 - almost perfectly" }, "2344": { "input": "Sentence 1: Syrian forces storm central town Sentence 2: Syrian forces bombard Homs, Russia warns of civil war", "output": "2 - possibly" }, "2345": { "input": "Sentence 1: Pak: 20 dead in anti-Islam film protests Sentence 2: 25 injured in anti-Islam film protest in Islamabad, Pakistan", "output": "2 - possibly" }, "2346": { "input": "Sentence 1: Cause of Whitney Houston's death could take weeks Sentence 2: Investigators seek answers to Whitney Houston's death", "output": "2 - possibly" }, "2347": { "input": "Sentence 1: N Korea warns of retaliation for South Korea drill Sentence 2: North warns of retaliation for Seoul's naval drill plan", "output": "4 - almost perfectly" }, "2348": { "input": "Sentence 1: One dead in new Israeli strike on Gaza Sentence 2: Two killed in new Israeli strike on Gaza: medics", "output": "4 - almost perfectly" }, "2349": { "input": "Sentence 1: Germany Likely to Press Russia on Syrian Crisis Sentence 2: What is Russia thinking on Syria? A brief guide", "output": "1 - probably not" }, "2350": { "input": "Sentence 1: Four seriously injured in M23 motorway crash Sentence 2: Four injured in motorway crash", "output": "4 - almost perfectly" }, "2351": { "input": "Sentence 1: UN aid chief Amos enters Baba Amr with Red Crescent Sentence 2: Syria's besieged Baba Amr is deserted, Red Cross says", "output": "2 - possibly" }, "2352": { "input": "Sentence 1: Dozens killed in Nigerian riots Sentence 2: Dozens killed in Kenyan clashes", "output": "1 - probably not" }, "2353": { "input": "Sentence 1: Profiles of Egypt's main presidential candidates Sentence 2: Second day of Egyptian presidential election", "output": "1 - probably not" }, "2354": { "input": "Sentence 1: Actor Gazzara dead at 81 Sentence 2: Actor Ben Gazzara dies at 81", "output": "4 - almost perfectly" }, "2355": { "input": "Sentence 1: British gold rush silences gripes over cost Sentence 2: 2 British soldiers killed in Afghan insider attack", "output": "1 - probably not" }, "2356": { "input": "Sentence 1: Avalanche buries at least 100 Pakistani soldiers Sentence 2: Avalanche buries over 100 Pakistani soldiers", "output": "5 - perfectly" }, "2357": { "input": "Sentence 1: Inflation falls to 15-month low: what the analysts say Sentence 2: Inflation falls to 15-month low", "output": "5 - perfectly" }, "2358": { "input": "Sentence 1: Komen won't cut Planned Parenthood funding Sentence 2: Susan G Komen in U-turn over Planned Parenthood funding cut", "output": "3 - probably" }, "2359": { "input": "Sentence 1: Forex & Gold 25 August 2012 Sentence 2: Forex & Gold 19 July 2012", "output": "2 - possibly" }, "2360": { "input": "Sentence 1: Iran says UN nuclear talks will continue Sentence 2: Iran says nuclear talks with UN 'constructive'", "output": "3 - probably" }, "2361": { "input": "Sentence 1: Agribusiness: Mad cow disease found in California Sentence 2: USDA Confirms Case of Mad Cow Disease in California", "output": "4 - almost perfectly" }, "2362": { "input": "Sentence 1: 300 potential Jimmy Savile victims: police Sentence 2: UK: 300 potential Savile abuse victims emerge", "output": "4 - almost perfectly" }, "2363": { "input": "Sentence 1: Armstrong steps down from Livestrong Sentence 2: Armstrong standing down from Livestrong", "output": "5 - perfectly" }, "2364": { "input": "Sentence 1: US drone strike kills 5 militants in Pakistan Sentence 2: U.S. drone strikes kill 16 suspected militants in Yemen", "output": "2 - possibly" }, "2365": { "input": "Sentence 1: Syrian govt wont stop attacks Sentence 2: Syrian opposition reports 'massacre'", "output": "1 - probably not" }, "2366": { "input": "Sentence 1: Chinese stocks close higher midday Friday Sentence 2: Chinese stocks higher at midday Friday", "output": "5 - perfectly" }, "2367": { "input": "Sentence 1: Myanmar: Opposition claims Suu Kyi win Sentence 2: Voters in Myanmar hopeful as Suu Kyi's party claims win", "output": "3 - probably" }, "2368": { "input": "Sentence 1: Obama's poll rating drops in boost for Republican rivals Sentence 2: Obama's big Hispanic win worries Republicans", "output": "1 - probably not" }, "2369": { "input": "Sentence 1: Two Aust soldiers wounded in Afghanistan Sentence 2: 4 foreign soldiers killed in Afghan east", "output": "1 - probably not" }, "2370": { "input": "Sentence 1: New Syria opposition chief wants no-strings aid Sentence 2: Syria opposition unites as Israel fires warning shots", "output": "1 - probably not" }, "2371": { "input": "Sentence 1: South Africa mine clash kills at least 30 Sentence 2: South Africa train crash kills 26", "output": "1 - probably not" }, "2372": { "input": "Sentence 1: Syrian forces bombard Homs, Russia warns of civil war Sentence 2: Syrian forces bombard Homs, Lavrov arrives for talks", "output": "3 - probably" }, "2373": { "input": "Sentence 1: Egypt presidential election results delayed Sentence 2: Egyptian election result delayed", "output": "4 - almost perfectly" }, "2374": { "input": "Sentence 1: Deadline passes with no new Iran sanctions Sentence 2: EU Moves Closer to New Iran Sanctions", "output": "2 - possibly" }, "2375": { "input": "Sentence 1: Arrested Russian killer denies ties to Pussy Riot Sentence 2: Dozens arrested in Russian TV tower protest", "output": "1 - probably not" }, "2376": { "input": "Sentence 1: Norway memorial honours 77 massacre victims Sentence 2: Norway marks anniversary of massacre", "output": "3 - probably" }, "2377": { "input": "Sentence 1: US Afghanistan general linked to Petraeus scandal Sentence 2: Senior US general linked to Petraeus scandal", "output": "4 - almost perfectly" }, "2378": { "input": "Sentence 1: Chinese stocks fall after RRR cut - May 14 Sentence 2: Chinese stocks gain at midday Monday", "output": "2 - possibly" }, "2379": { "input": "Sentence 1: NKorea makes \"significant\" nuclear reactor progress - IAEA Sentence 2: N. Korea vows to expand nuclear deterrent", "output": "3 - probably" }, "2380": { "input": "Sentence 1: Maldives president quits after police mutiny, protests Sentence 2: Maldives president quits after weeks of protest", "output": "3 - probably" }, "2381": { "input": "Sentence 1: NATO strike 'kills civilians' in Afghanistan Sentence 2: Two NATO soldiers killed in Afghanistan", "output": "1 - probably not" }, "2382": { "input": "Sentence 1: Al-Qaida says it captures 70 Yemeni soldiers in Abyan's battle Sentence 2: Al Qaeda clashes, blasts kill 35 soldiers in Yemen", "output": "1 - probably not" }, "2383": { "input": "Sentence 1: Navy jet crashes into US apartments, pilots eject Sentence 2: U.S. Navy Jet Crashes Into Virginia Apartment Buildings", "output": "3 - probably" }, "2384": { "input": "Sentence 1: China stocks open higher Wednesday Sentence 2: US stocks open higher despite GDP miss", "output": "1 - probably not" }, "2385": { "input": "Sentence 1: IDF to deploy Iron Dome in Central Israel Sentence 2: Major snowstorm barrels down on Central Plains", "output": "0 - definitely not" }, "2386": { "input": "Sentence 1: 4 Killed in US Drone Strike in Pakistan Sentence 2: U.S. Drone Strike Kills 3 in Pakistan", "output": "3 - probably" }, "2387": { "input": "Sentence 1: US teen held in Chicago 'jihad' car bomb plot Sentence 2: Chicago teen arrested in Chicago car bomb plot", "output": "3 - probably" }, "2388": { "input": "Sentence 1: PC David Rathband: twin brother's fears for his 'bestest mate' Sentence 2: David Miliband: my brother and a return to old Labour", "output": "0 - definitely not" }, "2389": { "input": "Sentence 1: Syrian forces move to retake Aleppo Sentence 2: Syrian Regime Bids To Retake City Of Aleppo", "output": "4 - almost perfectly" }, "2390": { "input": "Sentence 1: 20-member parliamentary, trade team leaves for India Sentence 2: Commerce secretary to take leave of absence", "output": "0 - definitely not" }, "2391": { "input": "Sentence 1: Wall Street Opens Lower Sentence 2: Wall Street Ends Mixed", "output": "2 - possibly" }, "2392": { "input": "Sentence 1: Europe shares bounce as more China stimulus seen Sentence 2: Oil prices rise on hopes for stimulus", "output": "1 - probably not" }, "2393": { "input": "Sentence 1: Stock index futures point to lower start Sentence 2: Stock index futures signal early losses", "output": "4 - almost perfectly" }, "2394": { "input": "Sentence 1: Man charged after MP hurt in attack Sentence 2: Man charged with murder in flat", "output": "1 - probably not" }, "2395": { "input": "Sentence 1: Nokia apologises for 'faked' ad Sentence 2: US waives riders for Pak aid", "output": "0 - definitely not" }, "2396": { "input": "Sentence 1: US drone strike kills 5 militants in Pakistan Sentence 2: Drone strike kills four suspected militants in Pakistan", "output": "3 - probably" }, "2397": { "input": "Sentence 1: Syria rebels leave besieged Homs Sentence 2: Syrian rebels retreat from besieged Homs district", "output": "4 - almost perfectly" }, "2398": { "input": "Sentence 1: U.S. orders non-essential staff to leave Sudan, Tunisia Sentence 2: US orders non-essential staff to leave Tunisia, Sudan", "output": "4 - almost perfectly" }, "2399": { "input": "Sentence 1: Egypt's Mubarak critical Sentence 2: Egypt's Mubarak in critical condition", "output": "5 - perfectly" }, "2400": { "input": "Sentence 1: Assad says mercenaries are behind Syria unrest Sentence 2: Assad Accuses US of Fueling Syrian Uprising", "output": "3 - probably" }, "2401": { "input": "Sentence 1: Japan PM dissolves lower house for election Sentence 2: Iran and world powers set for nuclear talks", "output": "0 - definitely not" }, "2402": { "input": "Sentence 1: Two killed in new Israeli strike on Gaza: medics Sentence 2: 5 die in strikes on Gaza, militants barrage Israel", "output": "2 - possibly" }, "2403": { "input": "Sentence 1: Navy jet crashes into Virginia buildings, injuring six Sentence 2: Navy jet crashes into Virginia apartments,9 hurt", "output": "3 - probably" }, "2404": { "input": "Sentence 1: One NATO soldier killed in S. Afghanistan Sentence 2: British soldier killed in southern Afghanistan", "output": "3 - probably" }, "2405": { "input": "Sentence 1: Spain jobless rate hits new high Sentence 2: Spain's jobless claims hit new high", "output": "4 - almost perfectly" }, "2406": { "input": "Sentence 1: Turkey scrambles jets near border Sentence 2: Turkey scrambles jets to Syrian border", "output": "4 - almost perfectly" }, "2407": { "input": "Sentence 1: Two die in Syria violence after UN monitors land Sentence 2: Two year doping ban for Contador", "output": "0 - definitely not" }, "2408": { "input": "Sentence 1: Civilian, defector killed in Syria, says NGO Sentence 2: Syria gunmen kill three Syrian officers: NGO", "output": "1 - probably not" }, "2409": { "input": "Sentence 1: Taiwan rattled by strong earthquake Sentence 2: China rocked by twin earthquakes", "output": "1 - probably not" }, "2410": { "input": "Sentence 1: Bank of England's Paul Tucker tainted by Libor mess Sentence 2: Bank of England deputy denies ordering rate-rigging", "output": "3 - probably" }, "2411": { "input": "Sentence 1: Syrian forces shoot civilians on bus Sentence 2: Syrian forces, rebels clash near Turkey", "output": "1 - probably not" }, "2412": { "input": "Sentence 1: German parliament overwhelmingly backs Greek rescue deal Sentence 2: German parliament endorses Greek bailout", "output": "4 - almost perfectly" }, "2413": { "input": "Sentence 1: Bombings, clashes continue in Syria Sentence 2: Bombings, clashes as Syria opposition seeks arms", "output": "3 - probably" }, "2414": { "input": "Sentence 1: Burma's reforms bring easing of U.S. sanctions Sentence 2: Burma activists say go slow on easing sanctions", "output": "2 - possibly" }, "2415": { "input": "Sentence 1: Usain Bolt wins 200m – Steven Howard reaction Sentence 2: Facebook mobile gains drive revenue growth: reaction", "output": "0 - definitely not" }, "2416": { "input": "Sentence 1: Dozens dead in Taliban resort attack Sentence 2: 'India police name 3 Iranians in embassy attack'", "output": "0 - 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possibly" }, "2423": { "input": "Sentence 1: Navy Jet Crashes Into Apartment Building Sentence 2: U.S. Navy Jet Crashes Into Virginia Apartment Buildings", "output": "4 - almost perfectly" }, "2424": { "input": "Sentence 1: Romney wins big in Puerto Rico primary Sentence 2: Romney wins Illinois primary", "output": "2 - possibly" }, "2425": { "input": "Sentence 1: Yahoo! to name Google's Mayer as CEO: report Sentence 2: Yahoo names Google exec Mayer as CEO", "output": "4 - almost perfectly" }, "2426": { "input": "Sentence 1: US soldier accused of Afghan massacre hires prominent criminal lawyer Sentence 2: US soldier accused of killing Afghan civilians identified", "output": "2 - possibly" }, "2427": { "input": "Sentence 1: 6.0-magnitude quake hits northern Italy: USGS Sentence 2: 5.9-magnitude quake hits Sunda Strait, Indonesia: USGS", "output": "2 - possibly" }, "2428": { "input": "Sentence 1: US gov't officially designates Haqqani network as terrorists Sentence 2: US designates Haqqani network as terrorists", "output": "4 - almost perfectly" }, "2429": { "input": "Sentence 1: Motor Racing: Button fastest in year's first F1 practice Sentence 2: Button boasts best time after first practice", "output": "3 - probably" }, "2430": { "input": "Sentence 1: Rangers voted into Division Three Sentence 2: Rangers voted into third division", "output": "5 - perfectly" }, "2431": { "input": "Sentence 1: Newark mayor saves neighbor from fire Sentence 2: Newark mayor rescues neighbor from burning house", "output": "4 - almost perfectly" }, "2432": { "input": "Sentence 1: F1 protests in Bahrain Sentence 2: A day of rage in Bahrain", "output": "2 - possibly" }, "2433": { "input": "Sentence 1: New York Stock Exchange to reopen Wednesday Sentence 2: DealBook: Stock Exchanges Prepare to Open", "output": "3 - probably" }, "2434": { "input": "Sentence 1: Homs mortar fire kills 105 Sentence 2: Homs offensive kills 200", "output": "3 - probably" }, "2435": { "input": "Sentence 1: Hundreds honor student killed in Ohio shooting Sentence 2: Funeral set for Ohio shooting victim", "output": "2 - possibly" }, "2436": { "input": "Sentence 1: Bombs in southern Thailand kill 5, wound 50 Sentence 2: Bombs in Thailand kill 14, wound 340", "output": "3 - probably" }, "2437": { "input": "Sentence 1: US lawmakers take next step on new Iran sanctions Sentence 2: Somalia lawmakers to vote for new president", "output": "0 - definitely not" }, "2438": { "input": "Sentence 1: 2 rockets hit in the Eshkol region; no injuries Sentence 2: 10 rockets in 20 minutes in Eshkol Regional Council", "output": "2 - possibly" }, "2439": { "input": "Sentence 1: 'Betrayed' disabled workers protest against Remploy closures Sentence 2: May Day marked by protests against austerity cuts", "output": "1 - probably not" }, "2440": { "input": "Sentence 1: DR Congo rebels kill park rangers Sentence 2: Rebels kill two park rangers in eastern Congo", "output": "4 - almost perfectly" }, "2441": { "input": "Sentence 1: Nine Pakistani troops killed in militant ambush Sentence 2: Trade: Pakistan, India agree to take it a step ahead", "output": "1 - probably not" }, "2442": { "input": "Sentence 1: 74 dead in Egypt soccer violence Sentence 2: At least 73 die in Egyptian soccer pitch invasion", "output": "3 - probably" }, "2443": { "input": "Sentence 1: Unrest in tense Nigeria leaves at least 95 dead Sentence 2: Southwest China quakes kill at least 50", "output": "0 - definitely not" }, "2444": { "input": "Sentence 1: Hurricane Sandy makes landfall in southeastern Jamaica: NHC Sentence 2: Hurricane Sandy reaches Jamaica", "output": "3 - probably" }, "2445": { "input": "Sentence 1: Remarks With Prime Minister Elkeib After Their Meeting Sentence 2: Remarks With Foreign Minister Koichiro Gemba", "output": "2 - possibly" }, "2446": { "input": "Sentence 1: Barrick in talks with China firm over African assets Sentence 2: Obama aide holds talks in China after Syria veto", "output": "1 - probably not" }, "2447": { "input": "Sentence 1: Mall attackers used 'less is more' strategy Sentence 2: In Kenya, attackers used 'less is more' strategy", "output": "3 - probably" }, "2448": { "input": "Sentence 1: Weak earnings drag stocks lower Sentence 2: Weak earnings drag stocks lower on Wall Street", "output": "4 - almost perfectly" }, "2449": { "input": "Sentence 1: 6.8 quake strikes off Solomon Islands Sentence 2: Magnitude 6.3 quake strikes off Solomon Islands: USGS", "output": "3 - probably" }, "2450": { "input": "Sentence 1: Liquid ammonia leak kills 15 in Shanghai Sentence 2: Liquid ammonia leak kills at least 15 in Shanghai", "output": "5 - perfectly" }, "2451": { "input": "Sentence 1: Weiner stays in NYC mayor's race amid new sexting scandal Sentence 2: Weiner shrugs off latest online sex scandal", "output": "3 - probably" }, "2452": { "input": "Sentence 1: Death toll rises in Russia plane crash Sentence 2: Death toll rises to 39 in Italy coach crash", "output": "0 - definitely not" }, "2453": { "input": "Sentence 1: Indian media: Commonwealth summit Sentence 2: Indian PM snubs Commonwealth summit", "output": "3 - probably" }, "2454": { "input": "Sentence 1: Syria military police chief defects to opposition Sentence 2: Syria military police chief defects to rebels", "output": "5 - perfectly" }, "2455": { "input": "Sentence 1: Boeing 787 Dreamliner catches fire; stock takes a beating Sentence 2: Boeing stock tumbles after fire on 787 Dreamliner", "output": "5 - perfectly" }, "2456": { "input": "Sentence 1: Yvette Cooper backs gay marriage bill Sentence 2: White House backs gay marriage", "output": "3 - probably" }, "2457": { "input": "Sentence 1: Five killed in Belgian coach crash Sentence 2: Teenagers among 5 dead in Belgian bus crash", "output": "4 - almost perfectly" }, "2458": { "input": "Sentence 1: Gunmen abduct seven foreign workers in Nigeria Sentence 2: Seven foreign workers kidnapped in Nigeria", "output": "3 - probably" }, "2459": { "input": "Sentence 1: Swiss tourist 'gang-raped' in India Sentence 2: Swiss tourist gang raped in India, say police", "output": "5 - perfectly" }, "2460": { "input": "Sentence 1: Palestinians clash with Israeli forces in West Bank, Jerusalem Sentence 2: Palestinians clash with security forces in W. Bank", "output": "4 - almost perfectly" }, "2461": { "input": "Sentence 1: Israel planes strike inside Syria Sentence 2: Israel launches airstrike into Syria", "output": "5 - perfectly" }, "2462": { "input": "Sentence 1: Iranians Vote in Presidential Election Sentence 2: Keita Wins Mali Presidential Election", "output": "0 - definitely not" }, "2463": { "input": "Sentence 1: 100 killed in new Darfur tribal clashes Sentence 2: '9 Dead' in New Darfur Tribal Clash", "output": "3 - probably" }, "2464": { "input": "Sentence 1: Protest against US drone strikes in Pak postponed Sentence 2: 6 killed in U.S. drone strike in NW Pakistan", "output": "1 - probably not" }, "2465": { "input": "Sentence 1: 12 killed in bus accident in Pakistan Sentence 2: 10 killed in road accident in NW Pakistan", "output": "3 - probably" }, "2466": { "input": "Sentence 1: Carney sets high bar to change at BoE Sentence 2: Carney sets high bar to changes at Bank of England", "output": "5 - perfectly" }, "2467": { "input": "Sentence 1: 8 arrested after deadly Bangladesh building collapse Sentence 2: Four arrested as Bangladesh building toll rises to 352", "output": "2 - possibly" }, "2468": { "input": "Sentence 1: Suicide bomber kills 3 at US base in Afghanistan Sentence 2: Suicide bombers attack US base in Afghanistan", "output": "3 - probably" }, "2469": { "input": "Sentence 1: Afghans flock to colleges, even as Taliban loom Sentence 2: Afghan District Governor Defects To Taliban", "output": "1 - probably not" }, "2470": { "input": "Sentence 1: North Korea Postpones Family Reunions with South Sentence 2: North Korea 'postpones' family unions with South Korea", "output": "5 - perfectly" }, "2471": { "input": "Sentence 1: Apple revenue misses again, iPhone disappoints Sentence 2: U.S. trade agency rules for Samsung, bans iPhone 4 imports", "output": "1 - probably not" }, "2472": { "input": "Sentence 1: Gunmen kill 10 foreign tourists in northern Pakistan Sentence 2: Gunmen kill 11 foreign climbers in Pakistan", "output": "3 - probably" }, "2473": { "input": "Sentence 1: David Beckham Announces Retirement From Soccer Sentence 2: David Beckham retires from football", "output": "4 - almost perfectly" }, "2474": { "input": "Sentence 1: Matt Smith to leave Doctor Who after 4 years Sentence 2: Matt Smith quits BBC’s Doctor Who", "output": "4 - almost perfectly" }, "2475": { "input": "Sentence 1: Generations divided over gay marriage Sentence 2: G20 Summit ends divided over Syria", "output": "0 - definitely not" }, "2476": { "input": "Sentence 1: 23 killed in Iraq car bombings Sentence 2: 10 killed in Iraq bomb attack", "output": "2 - possibly" }, "2477": { "input": "Sentence 1: Taliban attacks kill 17 civilians in Afghanistan Sentence 2: Series of attacks kill 10 police in Afghanistan", "output": "1 - probably not" }, "2478": { "input": "Sentence 1: Egypt minister survives assassination attempt Sentence 2: Syrian prime minister 'survives assassination attempt'", "output": "2 - possibly" }, "2479": { "input": "Sentence 1: Ex-first lady Barbara Bush leaves Texas hospital Sentence 2: Former first lady Barbara Bush leaves hospital", "output": "5 - perfectly" }, "2480": { "input": "Sentence 1: 11 killed in Chinese police station attack Sentence 2: Eleven killed in China police station attack", "output": "5 - perfectly" }, "2481": { "input": "Sentence 1: Boeing airliner crashes in Russia, 50 killed Sentence 2: Boeing airliner crashes in Russian city of Kazan, 50 killed", "output": "4 - almost perfectly" }, "2482": { "input": "Sentence 1: EU ministers 'determined' to resolve horsemeat scandal Sentence 2: EU ministers hold crisis talks over horse meat scandal", "output": "4 - almost perfectly" }, "2483": { "input": "Sentence 1: Thai opposition party to boycott general election Sentence 2: Thai opposition announces election boycott", "output": "5 - perfectly" }, "2484": { "input": "Sentence 1: Bangladesh building collapse death toll hits 540: army Sentence 2: Bangladesh building collapse death toll passes 1,000", "output": "3 - probably" }, "2485": { "input": "Sentence 1: Central African Republic president overthrown by rebels Sentence 2: Central African Republic President, PM stepping down", "output": "3 - probably" }, "2486": { "input": "Sentence 1: Brazil tied 2-2 by England as Maracana re-opens Sentence 2: Brazil held by England 2-2 as Maracana re-opens", "output": "5 - perfectly" }, "2487": { "input": "Sentence 1: George W. Bush warns against bitter immigration debate Sentence 2: George W Bush weighs into immigration debate", "output": "3 - probably" }, "2488": { "input": "Sentence 1: Mandela hospitalized, responding to treatment Sentence 2: Mandela hospitalised after he stops talking", "output": "3 - probably" }, "2489": { "input": "Sentence 1: Hundreds of Bangladesh clothes factory workers ill Sentence 2: Hundreds fall sick in Bangladesh factory", "output": "4 - almost perfectly" }, "2490": { "input": "Sentence 1: Yemen suicide bombing kills soldiers Sentence 2: Female suicide bomber kills 16 at Russian station", "output": "2 - possibly" }, "2491": { "input": "Sentence 1: 18 trapped in Russian coal mine blast Sentence 2: Ten killed in Russia coal mine blast", "output": "3 - probably" }, "2492": { "input": "Sentence 1: Thai protesters break into army headquarters Sentence 2: Thai protesters storm army headquarters", "output": "5 - perfectly" }, "2493": { "input": "Sentence 1: Israel conducts airstrike on Syria Sentence 2: Israel launches new airstrike against Syria", "output": "4 - almost perfectly" }, "2494": { "input": "Sentence 1: Police fire tear gas to disperse protesters in Tunis Sentence 2: Police fire tear gas at protesters in Cairo", "output": "2 - possibly" }, "2495": { "input": "Sentence 1: Egypt's main opposition rejects president's call for dialogue Sentence 2: Egypt opposition mulls response to Morsi dialogue call", "output": "4 - almost perfectly" }, "2496": { "input": "Sentence 1: Tokyo to host 2020 Olympic Games Sentence 2: Wrestling to feature in 2020 Tokyo Olympics", "output": "1 - probably not" }, "2497": { "input": "Sentence 1: Housing starts up 6.8% in May Sentence 2: May Housing Starts Up 6.8%", "output": "5 - perfectly" }, "2498": { "input": "Sentence 1: >Cuba's Castro assumes CELAC presidency Sentence 2: Cuba's Castro to Take Over CELAC Presidency", "output": "5 - perfectly" }, "2499": { "input": "Sentence 1: 6.9 magnitude earthquake hits New Zealand Sentence 2: 5.6 magnitude earthquake shakes Iran", "output": "0 - definitely not" }, "2500": { "input": "Sentence 1: Daily Press Briefing: South Sudan Sentence 2: Daily Press Briefing: Syria", "output": "1 - probably not" }, "2501": { "input": "Sentence 1: Islamists attack north Mali city after suicide bombings Sentence 2: Islamists attack Malian troops in Gao", "output": "3 - probably" }, "2502": { "input": "Sentence 1: Britain set to deport of Abu Qatada Sentence 2: Britain loses bid to deport radical cleric Abu Qatada", "output": "2 - possibly" }, "2503": { "input": "Sentence 1: French parliament backs reform of law on prostitution Sentence 2: Russian parliament to consider ban on U.S. adoptions", "output": "1 - probably not" }, "2504": { "input": "Sentence 1: Shots, Explosions Heard as Thais Continue Protest in Bangkok Sentence 2: Gunshots, explosions rock Thai protest day ahead of polls", "output": "3 - probably" }, "2505": { "input": "Sentence 1: Israeli military focuses on northern border Sentence 2: Egypt's military takes control over Muslim Brotherhood, supporters", "output": "2 - possibly" }, "2506": { "input": "Sentence 1: North Korea blocks Kaesong access Sentence 2: North Korea vows to restart nuclear facilities", "output": "1 - probably not" }, "2507": { "input": "Sentence 1: Manning sentenced to 35 years in prison Sentence 2: Ariel Castro sentenced to 1,000 years in prison", "output": "0 - definitely not" }, "2508": { "input": "Sentence 1: US Senate approves fiscal cliff deal Sentence 2: It's official: Deal reached on \"fiscal cliff\"", "output": "3 - probably" }, "2509": { "input": "Sentence 1: Zimmerman stopped for speeding in Texas, released with warning Sentence 2: Zimmerman pulled over in Texas for speeding, given warning", "output": "5 - perfectly" }, "2510": { "input": "Sentence 1: Iran's Rouhani warns of Talibanisation in Syria Sentence 2: Russia, China Concerned About Israeli Airstrikes in Syria", "output": "1 - probably not" }, "2511": { "input": "Sentence 1: Syria denies reports of deadly Damascus nerve gas attack Sentence 2: US allies get help to repel Iranian computer attacks", "output": "0 - definitely not" }, "2512": { "input": "Sentence 1: China stocks close higher after economic meeting Sentence 2: China stocks close higher on Wednesday", "output": "3 - probably" }, "2513": { "input": "Sentence 1: Russia unveils $30 billion oil link to Pacific Sentence 2: Russia unveils $25bn oil link to Pacific", "output": "3 - probably" }, "2514": { "input": "Sentence 1: Dolce and Gabbana convicted of tax evasion Sentence 2: Dolce and Gabbana Fined in Italian Tax Case", "output": "3 - probably" }, "2515": { "input": "Sentence 1: 7.2-magnitude quake hits Pakistan: CENC Sentence 2: 7.7-magnitude earthquake hits SW Pakistan", "output": "4 - almost perfectly" }, "2516": { "input": "Sentence 1: Asteroid zips between Earth and satellites Sentence 2: Asteroid passes Earth in fly-by", "output": "4 - almost perfectly" }, "2517": { "input": "Sentence 1: Fight for Mali Town Reflects Islamist Tactics Sentence 2: EU to train Mali army to fight northern Islamist militants", "output": "2 - possibly" }, "2518": { "input": "Sentence 1: Two Santa trackers competing this Christmas Sentence 2: Spain turning back the clock on siestas", "output": "0 - definitely not" }, "2519": { "input": "Sentence 1: Ships Train for Syrian Chemical Weapons Transport Sentence 2: Syria Loads Chemical Weapons into Bombs, Awaiting Assad Order", "output": "3 - probably" }, "2520": { "input": "Sentence 1: 2 killed, 11 wounded in attacks in Iraq Sentence 2: 15 killed, 90 wounded in fresh attacks in Iraq", "output": "2 - possibly" }, "2521": { "input": "Sentence 1: Mexican singer Jenni Rivera believed killed in plane crash Sentence 2: Jenni Rivera, Mexican music star, dies in plane crash", "output": "3 - probably" }, "2522": { "input": "Sentence 1: Bangladesh court sentences first lawmaker to death for war crimes Sentence 2: British PM pushes Sri Lanka on war crimes", "output": "2 - possibly" }, "2523": { "input": "Sentence 1: Mugabe declared winner of disputed elections Sentence 2: Zimbabwe: Mugabe declared winner in disputed vote", "output": "4 - almost perfectly" }, "2524": { "input": "Sentence 1: Death toll climbs to 15 in Indonesia boat sinking Sentence 2: Indonesia: Death toll rises to 11 in Indonesia boat capsize", "output": "4 - almost perfectly" }, "2525": { "input": "Sentence 1: Egyptian court bans Muslim Brotherhood Sentence 2: Egypt court bans Muslim Brotherhood 'activities'", "output": "4 - almost perfectly" }, "2526": { "input": "Sentence 1: Rouhani leads in Iran presidential vote - preliminary results Sentence 2: Rouhani leads in initial Iran count", "output": "4 - almost perfectly" }, "2527": { "input": "Sentence 1: Police attacked in Belfast flag protests Sentence 2: Politicians in flag violence talks", "output": "1 - probably not" }, "2528": { "input": "Sentence 1: S.Korea proposes 'final' N.Korea talks over Kaesong Sentence 2: North Korea proposes high-level talks with US", "output": "1 - probably not" }, "2529": { "input": "Sentence 1: India gang-rape victim \"struggling against the odds\" Sentence 2: Indian rape victim dies in Singapore hospital", "output": "2 - possibly" }, "2530": { "input": "Sentence 1: Gunmen kill 9 foreign tourists, 1 Pakistani Sentence 2: Gunmen Kill 11 Foreign Tourists in Pakistan", "output": "3 - probably" }, "2531": { "input": "Sentence 1: Egypt increases security before pro-Morsi protests Sentence 2: Egypt bracing for massive protests", "output": "3 - probably" }, "2532": { "input": "Sentence 1: Yacimovich urges cabinet to approve Palestinian prisoners release Sentence 2: Israel agrees to free 104 Palestinian prisoners", "output": "2 - possibly" }, "2533": { "input": "Sentence 1: Palestinians build another West Bank tent protest Sentence 2: Palestinians' first ever UN vote symbolic yet historic", "output": "0 - definitely not" }, "2534": { "input": "Sentence 1: Bangladesh building collapse death toll hits 362 Sentence 2: Bangladesh building-collapse death toll climbs to 580", "output": "4 - almost perfectly" }, "2535": { "input": "Sentence 1: Israeli envoys summoned over settlement plans Sentence 2: Britain summons Israeli envoy over settlements", "output": "2 - possibly" }, "2536": { "input": "Sentence 1: 2 dead, 2 injured in Nevada middle school shooting Sentence 2: Nevada: 2 dead, 2 hurt in middle school shooting", "output": "5 - perfectly" }, "2537": { "input": "Sentence 1: Hamas mixed sex schools ban takes effect Sentence 2: Hamas in mixed-sex school 'ban'", "output": "4 - almost perfectly" }, "2538": { "input": "Sentence 1: Man arrested after police officer shot in Leeds Sentence 2: Navy panel urges ouster of officer who faked death", "output": "0 - definitely not" }, "2539": { "input": "Sentence 1: Ukrainian Prime Minister resigns amid protests Sentence 2: Turkish Prime Minister signals return to hardline on protesters", "output": "1 - probably not" }, "2540": { "input": "Sentence 1: Google launches internet-beaming balloons Sentence 2: Google 'are playing international tax game'", "output": "1 - probably not" }, "2541": { "input": "Sentence 1: Iraq Backs Egypt Crackdown on Morsi Supporters Sentence 2: Iraq backs Egypt crackdown on Mohamed Morsi supporters", "output": "5 - perfectly" }, "2542": { "input": "Sentence 1: Russia gives initial OK to American adoption ban Sentence 2: Russia gives initial approval to adoption ban", "output": "4 - almost perfectly" }, "2543": { "input": "Sentence 1: Five convicted in Kosovo organ trafficking case Sentence 2: Kosovo: 3 get jail time in organ trafficking case", "output": "3 - probably" }, "2544": { "input": "Sentence 1: Hrithik Roshan, wife Sussanne part ways Sentence 2: Hrithik Roshan, Sussanne to divorce", "output": "4 - almost perfectly" }, "2545": { "input": "Sentence 1: Gunman Among 7 Dead After Florida Apartment Shooting Sentence 2: Gunman among 7 dead after Fla. apartment shootout", "output": "5 - perfectly" }, "2546": { "input": "Sentence 1: Obama lauds progress on gay rights in inaugural address Sentence 2: Thousands protest gay marriage in France", "output": "1 - probably not" }, "2547": { "input": "Sentence 1: Wave of bombings kills 15 in Iraq Sentence 2: Car bombs kill at least 49 in Iraq", "output": "2 - possibly" }, "2548": { "input": "Sentence 1: In shock move, Obama puts Syria strike on hold Sentence 2: Obama puts Syria strike on hold", "output": "5 - perfectly" }, "2549": { "input": "Sentence 1: Israel strikes Syria as tensions rise on weapons Sentence 2: Air strikes wound civilians in Syria's Deraa", "output": "2 - possibly" }, "2550": { "input": "Sentence 1: Gunmen kill nine people in northwest Pakistan Sentence 2: Militants kill 6 soldiers in northwest Pakistan", "output": "3 - probably" }, "2551": { "input": "Sentence 1: The San Francisco plane crash at a glance Sentence 2: Two dead, 181 hurt in San Francisco air crash", "output": "1 - probably not" }, "2552": { "input": "Sentence 1: 8 arrested after deadly Bangladesh building collapse Sentence 2: Workers protest after Bangladesh building collapse", "output": "2 - possibly" }, "2553": { "input": "Sentence 1: X'mas cruise passengers hit by Norovirus Sentence 2: Missing cruise passenger is a NSW ambo", "output": "0 - definitely not" }, "2554": { "input": "Sentence 1: Snowden asks to stay in Russia Sentence 2: Snowden releases first Russia video", "output": "1 - probably not" }, "2555": { "input": "Sentence 1: Chinese shares close lower Wednesday Sentence 2: Chinese shares close higher Friday", "output": "2 - possibly" }, "2556": { "input": "Sentence 1: Stomach bug to cause ailing Nadal to miss Australian Open Sentence 2: Rafa Nadal to miss Australian Open", "output": "3 - probably" }, "2557": { "input": "Sentence 1: Narendra Modi pledges tough stand against Pakistan Sentence 2: India’s Modi promises tough stance against Pakistan", "output": "5 - perfectly" }, "2558": { "input": "Sentence 1: Egyptian court considers Mubarak’s release Sentence 2: Egypt court orders release of Mubarak", "output": "3 - probably" }, "2559": { "input": "Sentence 1: 2 car bombs kill 8 in southern Iraq Sentence 2: Car bombing kills 14 in northern Iraq", "output": "1 - probably not" }, "2560": { "input": "Sentence 1: Tokyo stocks close down 0.26pc Sentence 2: Tokyo stocks close down 1.53%", "output": "3 - probably" }, "2561": { "input": "Sentence 1: China stock index futures close higher -- Dec. 4 Sentence 2: China stock index futures close lower -- Jan. 24", "output": "2 - possibly" }, "2562": { "input": "Sentence 1: Pictures of the day: 7 August 2013 Sentence 2: Pictures of the day: 11 April 2013", "output": "3 - probably" }, "2563": { "input": "Sentence 1: Palestinians 'hit' by Israeli fire in Gaza Sentence 2: Two Palestinians Killed in an Israeli Air Strike on Gaza", "output": "3 - probably" }, "2564": { "input": "Sentence 1: Jesse Jackson Jr. and wife to plead guilty to fraud Sentence 2: Jesse Jackson Jr., Wife to Plead Guilty to Fraud", "output": "5 - perfectly" }, "2565": { "input": "Sentence 1: USA expels Venezuela diplomats in row Sentence 2: U.S. expels Venezuelan diplomats", "output": "4 - almost perfectly" }, "2566": { "input": "Sentence 1: BBC veteran Hall admits child sex abuse Sentence 2: Stuart Hall Admits Sex Assaults On Children", "output": "3 - probably" }, "2567": { "input": "Sentence 1: 7 killed, 3 injured in south China road accident Sentence 2: 20 killed, 44 injured in Philippine road accident", "output": "1 - probably not" }, "2568": { "input": "Sentence 1: Stocks to watch at close on Monday Sentence 2: Stocks to watch at close on Thursday", "output": "3 - probably" }, "2569": { "input": "Sentence 1: 6.3-magnitude earthquake hits Taiwan Sentence 2: 7.7-magnitude earthquake hits SW Pakistan", "output": "1 - probably not" }, "2570": { "input": "Sentence 1: Books To Help Kids Talk About Boston Marathon News Sentence 2: Report of two explosions at finish line of Boston Marathon", "output": "1 - probably not" }, "2571": { "input": "Sentence 1: Tech Sector Heats Up: Google and IBM Post Strong Earnings Sentence 2: Google shares soar past $1,000 on strong earnings", "output": "3 - probably" }, "2572": { "input": "Sentence 1: Profiles of Kenya's presidential candidates Sentence 2: Italian journalist picked as presidential candidate", "output": "1 - probably not" }, "2573": { "input": "Sentence 1: Israel frees Palestinian prisoners Sentence 2: Gov't committee approves release of 26 Palestinian prisoners", "output": "3 - probably" }, "2574": { "input": "Sentence 1: Philadelphia building collapses, 8-10 people may be trapped Sentence 2: Philadelphia building collapses; reports of people trapped", "output": "4 - almost perfectly" }, "2575": { "input": "Sentence 1: Obama meets with Mandela family Sentence 2: Obama meets Zuma and pays tribute to Mandela", "output": "3 - probably" }, "2576": { "input": "Sentence 1: U.S. Senate sets off gun control debate Sentence 2: U.S. Senate set to vote on gun control bill", "output": "3 - probably" }, "2577": { "input": "Sentence 1: Car bombing kills 53 in Damascus Sentence 2: Car bombings kill 13 civilians in Iraqi capital", "output": "1 - probably not" }, "2578": { "input": "Sentence 1: 'Friends of Syria' in Doha talks on arming rebels Sentence 2: Syria talks agree military aid to rebels", "output": "3 - probably" }, "2579": { "input": "Sentence 1: Syria condemns Israeli air strikes. Sentence 2: Series of deadly attacks strikes Iraq", "output": "2 - possibly" }, "2580": { "input": "Sentence 1: Egypt's leader imposes state of emergency in 3 cities Sentence 2: Egypt president declares state of emergency in three cities", "output": "5 - perfectly" }, "2581": { "input": "Sentence 1: ABVP protesters clash with police at Jantar Mantar, throw stones Sentence 2: Protesters clash with police at Jantar Mantar, 5 people detained", "output": "3 - probably" }, "2582": { "input": "Sentence 1: Turkish PM urges to end protests in Istanbul Sentence 2: Turkish police fire teargas at protesters in Istanbul", "output": "3 - probably" }, "2583": { "input": "Sentence 1: Two men charged with terrorism offences Sentence 2: Saudi-born Nigerian charged with terrorism in New York", "output": "2 - possibly" }, "2584": { "input": "Sentence 1: EU receives Nobel Peace Prize Sentence 2: EU Receives 2012 Nobel Peace Prize", "output": "4 - almost perfectly" }, "2585": { "input": "Sentence 1: Up to 21, mostly foreigners, killed in Kabul suicide attack Sentence 2: Briton among dead in Kabul suicide attack", "output": "3 - probably" }, "2586": { "input": "Sentence 1: Tokyo shares close 0.88pc lower Sentence 2: Singapore stocks close 0.44 pct lower", "output": "1 - probably not" }, "2587": { "input": "Sentence 1: Pakistan court demands 'blasphemy' rampage answers Sentence 2: Pakistan-UN report reveals alarming levels of drug use", "output": "1 - probably not" }, "2588": { "input": "Sentence 1: 4.1 magnitude quake strikes U.S Sentence 2: 7.2 magnitude earthquake strikes Philippines", "output": "1 - probably not" }, "2589": { "input": "Sentence 1: Bangladesh Opposition Leader Sentenced to Death for War Crimes Sentence 2: Bangladesh: Fugitive Sentenced to Death by War Crimes Tribunal", "output": "4 - almost perfectly" }, "2590": { "input": "Sentence 1: Alleged cop killer died from shot to head Sentence 2: Alleged cop killer died from gunshot", "output": "4 - almost perfectly" }, "2591": { "input": "Sentence 1: Car bomb at Swedish consulate in Libya's Benghazi, no casualties Sentence 2: Car Bomb Hits Swedish Consulate in Benghazi, None Hurt", "output": "5 - perfectly" }, "2592": { "input": "Sentence 1: Musharraf arrested in Lal Masjid case Sentence 2: Musharraf arrested in Pakistan", "output": "3 - probably" }, "2593": { "input": "Sentence 1: Iran hopes nuclear talks will yield 'roadmap' Sentence 2: Iran Nuclear Talks in Geneva Spur High Hopes", "output": "4 - almost perfectly" }, "2594": { "input": "Sentence 1: 35 militants killed in Afghan raids: official Sentence 2: 12 militants killed in Afghan raids: ministry", "output": "3 - probably" }, "2595": { "input": "Sentence 1: North Korea reportedly test-fires short-range missiles Sentence 2: North Korea launches short-range missiles", "output": "4 - almost perfectly" }, "2596": { "input": "Sentence 1: Thai protesters obstruct vote; 1 dead in violence Sentence 2: Thai protesters block polling stations in Bangkok", "output": "3 - probably" }, "2597": { "input": "Sentence 1: Venezuela's Hugo Chavez dies of cancer Sentence 2: Hugo Chavez: Venezuelan officials for unity", "output": "2 - possibly" }, "2598": { "input": "Sentence 1: North Korea conducts third nuclear test Sentence 2: North Korea Confirms Third Nuclear Test", "output": "5 - perfectly" }, "2599": { "input": "Sentence 1: Indian stocks open flat Sentence 2: Indian stocks open lower", "output": "4 - almost perfectly" }, "2600": { "input": "Sentence 1: Macau Gambling Revenue Hits Record $38 bn in 2012 Sentence 2: Macau gambling revenue hits record US$38b in 2012", "output": "5 - perfectly" }, "2601": { "input": "Sentence 1: Israelis, Palestinians resume talks in US Sentence 2: Israelis, Palestinians begin talks", "output": "4 - almost perfectly" }, "2602": { "input": "Sentence 1: Nelson Mandela memorial service Sentence 2: Nelson Mandela dies: Live coverage", "output": "2 - possibly" }, "2603": { "input": "Sentence 1: NM County Prepares for Same-Sex Marriages Hearing Sentence 2: Some county officials pave the way for same-sex marriage", "output": "4 - almost perfectly" }, "2604": { "input": "Sentence 1: Tokyo to host 2020 Olympic Games Sentence 2: Tokyo wins race to host 2020 Olympics", "output": "4 - almost perfectly" }, "2605": { "input": "Sentence 1: Malaysia detains Australian senator at airport Sentence 2: Malaysia detains Australian lawmaker at airport", "output": "4 - almost perfectly" }, "2606": { "input": "Sentence 1: South Korea Says North Fired Missiles Sentence 2: North Korea launches short-range missiles", "output": "2 - possibly" }, "2607": { "input": "Sentence 1: Britain shuts down plants as horse meat scandal reaches France Sentence 2: EU ministers 'determined' to resolve horsemeat scandal", "output": "3 - probably" }, "2608": { "input": "Sentence 1: US warns Syria on chemical weapons Sentence 2: U.S. concerns grow about Syria's chemical weapons", "output": "3 - probably" }, "2609": { "input": "Sentence 1: 37 killed in bus crash in Italy Sentence 2: 12 killed in bus accident in Pakistan", "output": "1 - probably not" }, "2610": { "input": "Sentence 1: China yuan strengthens to 6.2689 against USD Sentence 2: Chinese yuan weakens to 6.2816 against USD", "output": "3 - probably" }, "2611": { "input": "Sentence 1: U.S. recognizes Syrian opposition Sentence 2: Russia invites Syrian opposition for talks", "output": "2 - possibly" }, "2612": { "input": "Sentence 1: Egypt votes in new constitution Sentence 2: Egyptians Vote On New Constitution", "output": "5 - perfectly" }, "2613": { "input": "Sentence 1: Preston and England legend Tom Finney dies at 91 Sentence 2: Former England great Tom Finney dies at 91", "output": "4 - almost perfectly" }, "2614": { "input": "Sentence 1: Car bomb kills one and wounds five in Benghazi Sentence 2: Car bomb hits Libyan Foreign Ministry in Benghazi", "output": "3 - probably" }, "2615": { "input": "Sentence 1: Roadside bombs kill 5 in Afghanistan Sentence 2: Roadside bomb kills 3 policemen in Afghanistan", "output": "3 - probably" }, "2616": { "input": "Sentence 1: Sri Lanka's Tamils Vote for Greater Autonomy Sentence 2: Syria talks for Cameron and Putin", "output": "0 - definitely not" }, "2617": { "input": "Sentence 1: French-led troops close in on Timbuktu Sentence 2: French-led troops control access to Timbuktu", "output": "4 - almost perfectly" }, "2618": { "input": "Sentence 1: Nato airstrike kills two Afghan kids Sentence 2: Nato solider dies in Afghanistan", "output": "1 - probably not" }, "2619": { "input": "Sentence 1: Gunmen Kill 11 Foreign Tourists in Pakistan Sentence 2: Gunmen kill 11 foreign climbers in Pakistan", "output": "4 - almost perfectly" }, "2620": { "input": "Sentence 1: N Korea to halt work at joint industrial zone Sentence 2: North Korea blocks access to joint industrial zone", "output": "4 - almost perfectly" }, "2621": { "input": "Sentence 1: Delhi Gang Rape Suspect 'Beaten, Poisoned' Sentence 2: Delhi gang-rape verdict deferred again", "output": "2 - possibly" }, "2622": { "input": "Sentence 1: France pledges military aid in Mali Sentence 2: Most French support military operation in Mali", "output": "1 - probably not" }, "2623": { "input": "Sentence 1: Egyptians vote on divisive constitution Sentence 2: Egyptians vote on constitution change", "output": "4 - almost perfectly" }, "2624": { "input": "Sentence 1: Reid cites 'tremendous progress' in debt ceiling talks Sentence 2: Senate leaders appear close to US debt ceiling deal", "output": "3 - probably" }, "2625": { "input": "Sentence 1: 6.2 magnitude quake jolts Sarangani Sentence 2: 4.3-magnitude earthquake jolts SW China", "output": "2 - possibly" }, "2626": { "input": "Sentence 1: One dead, 11 hurt in LA car chaos Sentence 2: 6 dead, 33 hurt in Cotabato blast", "output": "1 - probably not" }, "2627": { "input": "Sentence 1: Chairman of easyJet to step down Sentence 2: Chairman of British no-frills airline easyJet to step down", "output": "4 - almost perfectly" }, "2628": { "input": "Sentence 1: Suicide Bomber Kills 14 at Afghan Province Council Sentence 2: Suicide Bomber Kills 11 in Afghanistan", "output": "2 - possibly" }, "2629": { "input": "Sentence 1: US Troops Killed in Afghan Insider Attack Sentence 2: NATO troops killed in Afghan 'insider attack'", "output": "4 - almost perfectly" }, "2630": { "input": "Sentence 1: Mother arrested on suspicion of manslaughter after dog kills daughter Sentence 2: Man arrested on suspicion of murder after stabbing in Suffolk", "output": "2 - possibly" }, "2631": { "input": "Sentence 1: Five dead, 40 missing in Canada train disaster Sentence 2: 40 still missing in Canadian train wreck", "output": "3 - probably" }, "2632": { "input": "Sentence 1: Tunisian opposition politician shot dead Sentence 2: Tunisia opposition leader slain; protests erupt", "output": "3 - probably" }, "2633": { "input": "Sentence 1: UN presses need for major boost in Syrian aid Sentence 2: UN chief presses for major boost in Syrian aid", "output": "5 - perfectly" }, "2634": { "input": "Sentence 1: Stocks soar on Wall St lead Sentence 2: Stocks slump on Wall Street", "output": "2 - possibly" }, "2635": { "input": "Sentence 1: 17 killed, 133 wounded in bomb attacks in northern Iraq Sentence 2: 2 killed, 6 wounded in clashes in northern Lebanon", "output": "1 - probably not" }, "2636": { "input": "Sentence 1: Insiders Reveal 2012 Election Secrets Sentence 2: All Eyes on Capriles as Venezuela Election Set", "output": "1 - probably not" }, "2637": { "input": "Sentence 1: Royal sorrow over nurse's death Sentence 2: Radio prankster in tears over nurse’s death", "output": "3 - probably" }, "2638": { "input": "Sentence 1: N Korea says it may delay controversial rocket launch Sentence 2: N. Korea looks set to delay controversial rocket launch", "output": "4 - almost perfectly" }, "2639": { "input": "Sentence 1: Critical Gates memoir rocks Obama administration Sentence 2: Gates blast rocks Obama administration", "output": "4 - almost perfectly" }, "2640": { "input": "Sentence 1: Jeff Bezos Bets $250 Million on Reviving Washington Post Sentence 2: Jeff Bezos Pays $250 Million For The Washington Post", "output": "4 - almost perfectly" }, "2641": { "input": "Sentence 1: Brooks pleads not guilty to hacking charges Sentence 2: Brooks pleads not guilty at phone hacking hearing", "output": "4 - almost perfectly" }, "2642": { "input": "Sentence 1: South Africans mark ailing Mandela's 95th birthday Sentence 2: South Africa's former PM Nelson Mandela back in hospital", "output": "1 - probably not" }, "2643": { "input": "Sentence 1: Obama declares health care law is working Sentence 2: Obama pledges to make new health care law work", "output": "3 - probably" }, "2644": { "input": "Sentence 1: Heavy rain raises threat of Christmas Day flooding Sentence 2: Fresh rain brings more flooding", "output": "3 - probably" }, "2645": { "input": "Sentence 1: Thousands protest gay marriage Sentence 2: Thousands protest gay marriage in Paris", "output": "4 - almost perfectly" }, "2646": { "input": "Sentence 1: Taiwan gang leader nabbed at airport after 17 years Sentence 2: Zambia arrests ex-leader Banda over oil deal", "output": "0 - definitely not" }, "2647": { "input": "Sentence 1: Iran nuke talks begin amid hopes of progress Sentence 2: Iran nuclear talks start in Geneva", "output": "3 - probably" }, "2648": { "input": "Sentence 1: Thai political protests paralyse more ministries Sentence 2: Thai protesters besiege more ministries", "output": "4 - almost perfectly" }, "2649": { "input": "Sentence 1: Amazon's Bezos to buy the Washington Post for $250 million Sentence 2: Amazon's Bezos buys Washington Post for $250-M", "output": "5 - perfectly" }, "2650": { "input": "Sentence 1: Obama economic tour buffeted by low expectations Sentence 2: Obama encourages Boy Scouts to end ban on gays", "output": "2 - possibly" }, "2651": { "input": "Sentence 1: Israel vows to deny Hezbollah after air strike Sentence 2: Car bomb kills four in Hezbollah Beirut bastion: minister", "output": "1 - probably not" }, "2652": { "input": "Sentence 1: France Welcomes US-Russia Deal on Syria Sentence 2: Arab League welcomes US-Russian deal on Syria", "output": "2 - possibly" }, "2653": { "input": "Sentence 1: More French soldiers to Central African Republic Sentence 2: Gun battles in Central African capital create fresh panic", "output": "2 - possibly" }, "2654": { "input": "Sentence 1: UN resolution orders Syria chemical arms destroyed Sentence 2: Germany ready to help Syria chemical mission", "output": "1 - probably not" }, "2655": { "input": "Sentence 1: Exclusive-UPDATE 2-Egypt pro-Mursi alliance signals flexibility in talks Sentence 2: EXCLUSIVE-UPDATE 1-Egypt pro-Mursi alliance signals flexibility in talks", "output": "5 - perfectly" }, "2656": { "input": "Sentence 1: David Beckham to retire at end of season Sentence 2: David Beckham Retires From Football", "output": "4 - almost perfectly" }, "2657": { "input": "Sentence 1: Libya abruptly closes its borders with four countries Sentence 2: Libya closes borders, declares martial law in south", "output": "3 - probably" }, "2658": { "input": "Sentence 1: 6.0-magnitude quake hits Greece -- USGS Sentence 2: 5.0-magnitude quake jolts Japan", "output": "1 - probably not" }, "2659": { "input": "Sentence 1: Search after man swept into sea Sentence 2: Lara plans visit to Nepal", "output": "0 - definitely not" }, "2660": { "input": "Sentence 1: Meteorite hits central Russia, more than 500 people hurt Sentence 2: Meteorite hits central Russia, 400 hurt", "output": "3 - probably" }, "2661": { "input": "Sentence 1: Blizzard brings US northeast to a halt Sentence 2: Blizzard wallops US Northeast, closes roads", "output": "4 - almost perfectly" }, "2662": { "input": "Sentence 1: NATO protesters acquitted of terrorism charges Sentence 2: NATO protesters convicted on non-terrorism charges", "output": "2 - possibly" }, "2663": { "input": "Sentence 1: 'Credibility on the line over Syria' Sentence 2: Obama: Congress, world credibility on line", "output": "1 - probably not" }, "2664": { "input": "Sentence 1: Taliban on agenda for US in Pakistan Sentence 2: At least 33 dead as big quake hits Pakistan", "output": "0 - definitely not" }, "2665": { "input": "Sentence 1: Egypt interior minister survives bomb Sentence 2: Egypt's interior minister survives bomb attack", "output": "5 - perfectly" }, "2666": { "input": "Sentence 1: China's yuan weakens to 6.2767 against USD Thursday Sentence 2: China yuan weakens to 6.1818 against USD Tuesday", "output": "2 - possibly" }, "2667": { "input": "Sentence 1: Obama holds talks over Syria action Sentence 2: Cameron loses parliamentary vote on Syria military action", "output": "1 - probably not" }, "2668": { "input": "Sentence 1: Egypt 'freezes Muslim Brotherhood assets' Sentence 2: Egypt freezes Muslim Brotherhood funds", "output": "5 - perfectly" }, "2669": { "input": "Sentence 1: Zen Report: Ain't easy being high maintenance Sentence 2: Russian meteorite leaves building gaping open", "output": "0 - definitely not" }, "2670": { "input": "Sentence 1: Tony Abbott sworn in as new Australian PM Sentence 2: Tony Abbott Sworn In As Australia PM", "output": "5 - perfectly" }, "2671": { "input": "Sentence 1: Egypt army cracks down on Brotherhood Sentence 2: Egypt's military cracks down on Muslim Brotherhood", "output": "4 - almost perfectly" }, "2672": { "input": "Sentence 1: Venezuela assembly meets amid Chavez health crisis Sentence 2: Assembly meets amid Chavez crisis", "output": "3 - probably" }, "2673": { "input": "Sentence 1: Syria opposition threatens to quit talks Sentence 2: Syria opposition agrees to talks", "output": "2 - possibly" }, "2674": { "input": "Sentence 1: Suicide bomber kills policeman in Pakistan Sentence 2: Suicide Bombers Kill 3 Soldiers in Pakistan", "output": "3 - probably" }, "2675": { "input": "Sentence 1: Anti-government protesters storm the streets of Kyiv Sentence 2: Ukraine protesters topple Lenin statue", "output": "1 - probably not" }, "2676": { "input": "Sentence 1: Chicago man to be sentenced for terror convictions Sentence 2: Kabul Bank Heads Sentenced for Corruption", "output": "1 - probably not" }, "2677": { "input": "Sentence 1: US drone strike kills three in northwest Pakistan Sentence 2: US drone strike kills seven in North Waziristan", "output": "2 - possibly" }, "2678": { "input": "Sentence 1: Track fault disrupts train service between Raffles Place, Marina Bay Sentence 2: Train service disrupted between Raffles Place and Marina Bay", "output": "4 - almost perfectly" }, "2679": { "input": "Sentence 1: Manning Sentenced to 35 Years for Leaking Government Secrets Sentence 2: Briton jailed for 10 years for selling fake bomb detectors", "output": "1 - probably not" }, "2680": { "input": "Sentence 1: UK police say no terrorism link to helicopter crash Sentence 2: China police seek eight suspects over crash", "output": "1 - probably not" }, "2681": { "input": "Sentence 1: Suicide bomber kills 13 in Russia's south Sentence 2: Suicide bomber kills 16 in Russia’s Volgograd", "output": "2 - possibly" }, "2682": { "input": "Sentence 1: 41 killed, 22 wounded in violent attacks in Iraq Sentence 2: 15 killed, 90 wounded in fresh attacks in Iraq", "output": "2 - possibly" }, "2683": { "input": "Sentence 1: Kerry to visit Jordan, Israel-Palestinian peace on agenda Sentence 2: Kerry postpones visit to Israel in one week", "output": "2 - possibly" }, "2684": { "input": "Sentence 1: Eurozone jobless hits fresh record high Sentence 2: EU jobless hits fresh record", "output": "4 - almost perfectly" }, "2685": { "input": "Sentence 1: Nelson Mandela's real hero was not Gandhi, but Nehru Sentence 2: Nelson Mandela's health 'unstable'", "output": "1 - probably not" }, "2686": { "input": "Sentence 1: Obama signs up for Obamacare Sentence 2: Americans scramble to sign up for Obamacare by deadline", "output": "1 - probably not" }, "2687": { "input": "Sentence 1: Lance Armstrong confesses all to Oprah Sentence 2: Lance Armstrong confesses to doping in Oprah interview", "output": "4 - almost perfectly" }, "2688": { "input": "Sentence 1: Andy Murray deserves knighthood, David Cameron says Sentence 2: David Cameron: Andy Murray deserves a knighthood", "output": "5 - perfectly" }, "2689": { "input": "Sentence 1: Hushen 300 Index closes higher -- Oct. 14 Sentence 2: Hushen 300 Index closes lower -- March 12", "output": "2 - possibly" }, "2690": { "input": "Sentence 1: US State Department faulted over Benghazi Sentence 2: State Dept security chief resigns after Benghazi", "output": "2 - possibly" }, "2691": { "input": "Sentence 1: Honduran ambassador to Colombia sacked after wild party Sentence 2: Honduras ambassador resigns after alleged embassy orgy", "output": "4 - almost perfectly" }, "2692": { "input": "Sentence 1: Syria must destroy chemical weapons Sentence 2: Libya ‘destroys last chemical weapons’", "output": "2 - possibly" }, "2693": { "input": "Sentence 1: Moderate tremor in the Central Mediterranean Sentence 2: Iran: Moderate candidate wins presidential vote", "output": "0 - definitely not" }, "2694": { "input": "Sentence 1: Suicide Bombs Hit Egypt Military in Sinai, Kill 6 Sentence 2: Suicide bombs hit Egypt military in Sinai, kill 4", "output": "3 - probably" }, "2695": { "input": "Sentence 1: Asian markets gain on upbeat US economic data Sentence 2: Asian markets lifted by positive US, China data", "output": "3 - probably" }, "2696": { "input": "Sentence 1: Suicide bomber kills 9 at Pakistan political rally Sentence 2: Suicide bomber kills guard at US embassy in Turkey", "output": "2 - possibly" }, "2697": { "input": "Sentence 1: Four Morsi supporters killed in Egypt clashes Sentence 2: Dozens injured as Morsi supporters clash with security forces", "output": "2 - possibly" }, "2698": { "input": "Sentence 1: Students take a ride on airwaves Sentence 2: 5.5-magnitude quake hits off Taiwan", "output": "0 - definitely not" }, "2699": { "input": "Sentence 1: Pistorius officer dropped from case Sentence 2: Pistorius officer on attempted murder charges", "output": "2 - possibly" }, "2700": { "input": "Sentence 1: Vinnie Jones reveals cancer battle new Sentence 2: Vinnie Jones reveals he has skin cancer", "output": "4 - almost perfectly" }, "2701": { "input": "Sentence 1: Pakistani Taliban chief Hakimullah Mehsud killed in drone strike Sentence 2: Pakistan Taliban vows revenge, to repay Hakimullah's killing in bloodshed", "output": "3 - probably" }, "2702": { "input": "Sentence 1: Dozens killed in air strike on bakery in central Syria Sentence 2: 'Dozens killed' in Syrian air strike on bakery", "output": "5 - perfectly" }, "2703": { "input": "Sentence 1: Gunmen kill one soldier, injure two others in Pakistan Sentence 2: Gunmen kill 6 polio workers in Pakistan", "output": "2 - possibly" }, "2704": { "input": "Sentence 1: Police confirm how suspect was captured Sentence 2: Raid on Boston Marathon bombing suspect captured on film", "output": "2 - possibly" }, "2705": { "input": "Sentence 1: Destruction of Syria's chemical weapons begins Sentence 2: Destruction of Syria's Chemical Weapons Could Prove Difficult", "output": "3 - probably" }, "2706": { "input": "Sentence 1: Flooding in Canada forces evacuation of another city Sentence 2: California wildfire forces evacuation of homes, university", "output": "1 - probably not" }, "2707": { "input": "Sentence 1: UN says US drones violate Pakistan's sovereignty Sentence 2: UN: US drone strikes violate Pakistan's sovereignty", "output": "4 - almost perfectly" }, "2708": { "input": "Sentence 1: Obama Praises Mandela 'Inspiration' Sentence 2: Obama hails Mandela's inspiration effect", "output": "5 - perfectly" }, "2709": { "input": "Sentence 1: Obama coming 'to listen' to Israel, Palestinians Sentence 2: Kerry Welcomes Arab Plan for Israeli-Palestinian Talks", "output": "1 - probably not" }, "2710": { "input": "Sentence 1: Death toll in Nigeria police attack rises to 30 Sentence 2: Death toll in Kenya bus attack rises to six", "output": "1 - probably not" }, "2711": { "input": "Sentence 1: Syria 'to declare chemical weapons and sign convention' Sentence 2: Russia, Syria Work on 'Concrete' Chemical Weapons Plan", "output": "3 - probably" }, "2712": { "input": "Sentence 1: Australia to scrap soaring national debt ceiling Sentence 2: Australian PM insists no argument with Indonesia", "output": "0 - definitely not" }, "2713": { "input": "Sentence 1: Italian Prime Minister Mario Monti Resigns Sentence 2: 'Palestinian Prime Minister Fayyad resigns'", "output": "1 - probably not" }, "2714": { "input": "Sentence 1: Iran says serious issues remain in nuclear talks Sentence 2: Iran vows to preserve \"peaceful\" nuclear program", "output": "2 - possibly" }, "2715": { "input": "Sentence 1: Crowds Gather in Bethlehem for Christmas Sentence 2: Oh, little town of Bethlehem — for real", "output": "2 - possibly" }, "2716": { "input": "Sentence 1: Seven peacekeepers killed in Sudan's Darfur Sentence 2: Peacekeeper killed in Abyei clash", "output": "2 - possibly" }, "2717": { "input": "Sentence 1: US stocks tumble on third day of shutdown Sentence 2: Stocks fall on third day of government shutdown", "output": "5 - perfectly" }, "2718": { "input": "Sentence 1: Guinea votes in long-delayed legislative poll Sentence 2: Equatoguineans vote in legislative polls", "output": "3 - probably" }, "2719": { "input": "Sentence 1: NATO: 3 troops killed in Afghanistan attack Sentence 2: NATO troops killed in Afghan 'insider attack'", "output": "3 - probably" }, "2720": { "input": "Sentence 1: Israeli soldier hits Palestinian child in Hebron Sentence 2: Israeli soldiers kill Palestinian woman in West Bank", "output": "1 - probably not" }, "2721": { "input": "Sentence 1: UN voices alarm over Israeli strikes on Syria Sentence 2: Israeli official confirms second air strike at Syria", "output": "2 - possibly" }, "2722": { "input": "Sentence 1: Egypt Army Launches New Air Raids on Sinai Militants Sentence 2: Egypt launches new assault against Sinai militants", "output": "3 - probably" }, "2723": { "input": "Sentence 1: Egyptian police fire tear gas at Brotherhood protesters Sentence 2: India: Tear Gas Fired At Gang Rape Protesters", "output": "1 - probably not" }, "2724": { "input": "Sentence 1: Syria Regime Agrees to Attend Peace Conference Sentence 2: Syria, opposition agree 'in principle' to attend peace conference", "output": "3 - probably" }, "2725": { "input": "Sentence 1: Man with knife arrested at entrance to Buckingham Palace Sentence 2: Man Charged After Buckingham Palace Arrest", "output": "2 - possibly" }, "2726": { "input": "Sentence 1: 5 people buried in Colorado avalanche Sentence 2: '5 snowboarders killed in Colorado avalanche'", "output": "3 - probably" }, "2727": { "input": "Sentence 1: Ban Ki-moon to Review Syria Chemical Arms Accord Sentence 2: Ban to review Syria chemical arms accord", "output": "4 - almost perfectly" }, "2728": { "input": "Sentence 1: Iraqi president in hospital due to health problem Sentence 2: Iraqi president in hospital after suffering stroke", "output": "4 - almost perfectly" }, "2729": { "input": "Sentence 1: Malaysia's long-ruling coalition hangs on to power Sentence 2: Malaysia's ruling coalition wins majority", "output": "4 - almost perfectly" }, "2730": { "input": "Sentence 1: Explosions Near the Iranian Embassy in Beirut Sentence 2: Two blasts near Iranian embassy in Beirut", "output": "4 - almost perfectly" }, "2731": { "input": "Sentence 1: 19 hurt in New Orleans shooting Sentence 2: Police: 19 hurt in NOLA Mother's Day shooting", "output": "4 - almost perfectly" }, "2732": { "input": "Sentence 1: Hagel laments \"political\" changes to US defence budget Sentence 2: Hagel defends proposed cuts in defense spending", "output": "2 - possibly" }, "2733": { "input": "Sentence 1: U.S. bans carry-on liquids, gels on flights to Russia Sentence 2: US bans carry-on liquids on direct flights to Russia", "output": "4 - almost perfectly" }, "2734": { "input": "Sentence 1: Egypt's Brotherhood stands ground after killings Sentence 2: Egypt: Muslim Brotherhood Stands Behind Morsi", "output": "2 - possibly" }, "2735": { "input": "Sentence 1: Nato troops kill two Afghan children Sentence 2: NATO strike kills 11 Afghan children", "output": "3 - probably" }, "2736": { "input": "Sentence 1: Iranian president calls for new nuclear talks Sentence 2: Iranian minister blames West for failed nuke talks", "output": "2 - possibly" }, "2737": { "input": "Sentence 1: Floods kill two, forces 75,000 from Calgary homes Sentence 2: Flooding Forces 75,000 From Canada Homes", "output": "3 - probably" }, "2738": { "input": "Sentence 1: 4 NATO Troops Killed in Afghanistan Sentence 2: Eight NATO Troops Killed In Afghanistan", "output": "3 - probably" }, "2739": { "input": "Sentence 1: Typhoon Fitow makes landfall in east China Sentence 2: Typhoon Fitow slams into southeastern China", "output": "4 - almost perfectly" }, "2740": { "input": "Sentence 1: Mandela to spend Christmas in hospital Sentence 2: Mandela movie to open this month in South Africa", "output": "0 - definitely not" }, "2741": { "input": "Sentence 1: Chris Froome rides to Tour de France endgame Sentence 2: Chris Brown concerts cancelled new", "output": "0 - definitely not" }, "2742": { "input": "Sentence 1: Apple app directs drivers to Alaska airport runway Sentence 2: Apple app sends drivers to airport", "output": "4 - almost perfectly" }, "2743": { "input": "Sentence 1: Suspected US drone kills 3 militants in Pakistan Sentence 2: U.S. drone kills 4 militants in Pakistan", "output": "3 - probably" }, "2744": { "input": "Sentence 1: Francis begins papacy with prayer Sentence 2: Pope Francis Slips Out of Vatican for Prayers", "output": "4 - almost perfectly" }, "2745": { "input": "Sentence 1: Egypt's Brotherhood as Beleaguered as Its Leader Sentence 2: Egypt's Muslim Brotherhood Set for Mass March", "output": "2 - possibly" }, "2746": { "input": "Sentence 1: China's new stealth frigate commissioned Sentence 2: Belarus, Latvia to set up border commission", "output": "0 - definitely not" }, "2747": { "input": "Sentence 1: Iraq violence kills 11 Sentence 2: Iraq violence kills seven", "output": "2 - possibly" }, "2748": { "input": "Sentence 1: Protests continue in tense Ukraine capital Sentence 2: Protests continue in Brazil", "output": "2 - possibly" }, "2749": { "input": "Sentence 1: Britons released after kidnapping in Egypt's Sinai -sources Sentence 2: Bedouin release two Britons seized in Egypt's Sinai", "output": "3 - probably" }, "2750": { "input": "Sentence 1: Syria welcomes Iran's nuclear deal Sentence 2: Iran, six world powers clinch breakthrough nuclear deal", "output": "3 - probably" }, "2751": { "input": "Sentence 1: Obama jokes about himself at reporters' dinner Sentence 2: Obama pokes fun at critics during press dinner", "output": "2 - possibly" }, "2752": { "input": "Sentence 1: Allen responds to Farrow's abuse claims in letter Sentence 2: Allen defends self against Farrow's abuse claims", "output": "4 - almost perfectly" }, "2753": { "input": "Sentence 1: More than 1,000 inmates escape from Libya's al-Kweifiya prison Sentence 2: 1000 prisoners escape from Libyan jail", "output": "4 - almost perfectly" }, "2754": { "input": "Sentence 1: What is the nuclear option? Sentence 2: Photos show N. Korea nuclear readiness", "output": "1 - probably not" }, "2755": { "input": "Sentence 1: Forex & Gold 6 March 2013 Sentence 2: Forex & Gold 12 March 2013", "output": "3 - probably" }, "2756": { "input": "Sentence 1: Islamists kill 21 in suicide attacks in Niger Sentence 2: Car bombs kill 20 in Turkish town near Syrian border", "output": "1 - probably not" }, "2757": { "input": "Sentence 1: U.S. has determined Syria used chemical weapons Sentence 2: UN votes to eliminate Syria's chemical weapons", "output": "3 - probably" }, "2758": { "input": "Sentence 1: Snowden's father arrives in Moscow Sentence 2: Edward Snowden's father in Moscow", "output": "4 - almost perfectly" }, "2759": { "input": "Sentence 1: Pakistani Taliban names new leader after drone strike Sentence 2: Pakistani Taleban chief killed in US drone strike", "output": "2 - possibly" }, "2760": { "input": "Sentence 1: Twin bombings in Pakistan kill at least 40 Sentence 2: Now, militants battle Pakistani police", "output": "1 - probably not" }, "2761": { "input": "Sentence 1: Muslim Brotherhood supporter dies in Cairo clash Sentence 2: Muslim Brotherhood supporters die in Egypt clashes", "output": "4 - almost perfectly" }, "2762": { "input": "Sentence 1: Facebook earnings jump 63% as mobile ads accelerate Sentence 2: Facebook profits jump as user base expands", "output": "3 - probably" }, "2763": { "input": "Sentence 1: Syria envoy calls for National Unity Government Sentence 2: Syria envoy calls for political change to end conflict", "output": "2 - possibly" }, "2764": { "input": "Sentence 1: Thirty-Seven Dead In Italy Tour Bus Plunge Sentence 2: Thirty Dead In Italian Bus Plunge", "output": "3 - probably" }, "2765": { "input": "Sentence 1: Rogers, Videotron extend reach with network-sharing deal Sentence 2: Rogers, Videotron reach network-sharing, spectrum deal", "output": "4 - almost perfectly" }, "2766": { "input": "Sentence 1: China stocks end lower Thursday Sentence 2: China stocks close lower on Thursday", "output": "5 - perfectly" }, "2767": { "input": "Sentence 1: Topless Women Protest Against Berlusconi As He Votes In Election Sentence 2: Bulgaria President Backs Protesters, Opposes Snap Elections", "output": "1 - probably not" }, "2768": { "input": "Sentence 1: Indonesia: Schoolchildren among 14 killed by Indonesia volcano eruption Sentence 2: Indonesia: Six dead in Indonesian volcanic eruption", "output": "3 - probably" }, "2769": { "input": "Sentence 1: Deal reached on new Italian government Sentence 2: Italy to swear in new coalition government", "output": "3 - probably" }, "2770": { "input": "Sentence 1: Obama mourns death of icon Nelson Mandela Sentence 2: South Africans mourn, celebrate Mandela", "output": "2 - possibly" }, "2771": { "input": "Sentence 1: Singapore stocks close 0.4% higher Sentence 2: Indian stocks open higher", "output": "2 - possibly" }, "2772": { "input": "Sentence 1: Maldives holds fresh election for president Sentence 2: Maldives holds fresh presidential election", "output": "5 - perfectly" }, "2773": { "input": "Sentence 1: Egypt announces arrest of 1,004 Muslim Brotherhood supporters Sentence 2: Egypt orders arrest of Brotherhood chief Badie", "output": "2 - possibly" }, "2774": { "input": "Sentence 1: New World Trade Center declared tallest building in U.S. Sentence 2: One World Trade Center Named Tallest US Building", "output": "4 - almost perfectly" }, "2775": { "input": "Sentence 1: What the Papers Say, Mar. 12, 2013 Sentence 2: What the Papers Say, June 25, 2013", "output": "2 - possibly" }, "2776": { "input": "Sentence 1: Israel green-lights 1500 settler homes Sentence 2: Israel unveils 1,800 more settler homes", "output": "3 - probably" }, "2777": { "input": "Sentence 1: Piers Morgan questioned by police Sentence 2: Piers Morgan Interviewed by Police in Hacking Case", "output": "4 - almost perfectly" }, "2778": { "input": "Sentence 1: Mumbai photojournalist gangrape case cracked, five accused arrested Sentence 2: Mumbai journalist gang-rape case: All five accused arrested", "output": "5 - perfectly" }, "2779": { "input": "Sentence 1: 'Israeli' arrested in Yemen Mossad spy Sentence 2: Israeli forces detain 2 in Hebron arrest raid", "output": "2 - possibly" }, "2780": { "input": "Sentence 1: Pakistani girls learn a hard lesson Sentence 2: Pakistani girl shot by Taliban appears on video", "output": "2 - possibly" }, "2781": { "input": "Sentence 1: Egypt's interim president appoints 2 advisors Sentence 2: Egypt's interim president swears in new Cabinet", "output": "3 - probably" }, "2782": { "input": "Sentence 1: China launches first air-to-air missile from chopper Sentence 2: China court sentences Bo Xilai to life imprisonment for corruption", "output": "1 - probably not" }, "2783": { "input": "Sentence 1: UK confirms fears over Syria's chemical weapons Sentence 2: End 'near' for Syria's chemical weapons", "output": "1 - probably not" }, "2784": { "input": "Sentence 1: Egypt Crackdown Draws Condemnation Sentence 2: Egypt: Egypt crackdown sparks global outrage", "output": "5 - perfectly" }, "2785": { "input": "Sentence 1: Egypt swears in new interim leader Sentence 2: Egypt army cracks down on Brotherhood", "output": "1 - probably not" }, "2786": { "input": "Sentence 1: Car bombing kills 17 in Pakistan Sentence 2: Suicide bomber kills 10 in Pakistan", "output": "3 - probably" }, "2787": { "input": "Sentence 1: Senior Pakistani Taliban commander captured in Afghanistan Sentence 2: Pakistan Shi'ites demand protection from militants", "output": "1 - probably not" }, "2788": { "input": "Sentence 1: Driver in Spanish train crash faces questions from judge Sentence 2: Train driver in Spain crash questioned by judge", "output": "5 - perfectly" }, "2789": { "input": "Sentence 1: Stocks close 0.39% higher Sentence 2: Singapore stocks close 0.31 pct lower", "output": "2 - possibly" }, "2790": { "input": "Sentence 1: US releases initial report on fracking impacts on water Sentence 2: Men in China detained after taking girls to hotel", "output": "0 - definitely not" }, "2791": { "input": "Sentence 1: Philippines, rebels reach wealth-sharing deal Sentence 2: Philippines and rebels reach 'wealth deal'", "output": "5 - perfectly" }, "2792": { "input": "Sentence 1: Death toll from west Chinas violence rises to 35 Sentence 2: Urgent: Death toll from NE China fire rises to 112", "output": "1 - probably not" }, "2793": { "input": "Sentence 1: Imran to contest from four NA seats Sentence 2: Imran Khan to contest elections from four NA seats", "output": "5 - perfectly" }, "2794": { "input": "Sentence 1: Trailblazing Israeli electric car company Better Place to fold Sentence 2: Trailblazing Israeli electric car company to fold", "output": "4 - almost perfectly" }, "2795": { "input": "Sentence 1: Pro-Pak Taliban warlord killed in US drone strike Sentence 2: Taliban commander killed in US drone strike", "output": "4 - almost perfectly" }, "2796": { "input": "Sentence 1: Car bomb kills 20 in northwest Syria Sentence 2: Car bomb in northern Syria kills 20", "output": "5 - perfectly" }, "2797": { "input": "Sentence 1: Up to 50 dead in Spanish train crash Sentence 2: Over 70 dead in Spanish high-speed train crash", "output": "3 - probably" }, "2798": { "input": "Sentence 1: Five foreigners sentenced to death for drug smuggling in Egypt Sentence 2: Egypt sentences Pakistani amid 5 to death for drug smuggling", "output": "4 - almost perfectly" }, "2799": { "input": "Sentence 1: French train derails south of Paris Sentence 2: French train passengers tell of crash ordeal", "output": "1 - probably not" }, "2800": { "input": "Sentence 1: Former spokesman for U.S. President Ronald Reagan dies Sentence 2: Former Reagan spokesman Larry Speakes dies at 74", "output": "4 - almost perfectly" }, "2801": { "input": "Sentence 1: Egypt votes on new constitution Sentence 2: Egyptians vote on divisive constitution", "output": "4 - almost perfectly" }, "2802": { "input": "Sentence 1: Obama meets Mandela family as icon remains in hospital Sentence 2: Obamas to meet Mandela family wont visit hospital", "output": "3 - probably" }, "2803": { "input": "Sentence 1: Weak earnings drag US stocks lower in early trade Sentence 2: Weak earnings drag stocks lower on Wall Street", "output": "4 - almost perfectly" }, "2804": { "input": "Sentence 1: Three feared dead after helicopter crashes into pub Sentence 2: Three feared dead after helicopter pub crash", "output": "5 - perfectly" }, "2805": { "input": "Sentence 1: Nigeria lawmaker charged over alleged bribery Sentence 2: Nigerian MP charged with accepting $3m bribe", "output": "3 - probably" }, "2806": { "input": "Sentence 1: Rupee down 8 paise vs dollar in early trade Sentence 2: Rupee up 22 paise against dollar in early trade", "output": "2 - possibly" }, "2807": { "input": "Sentence 1: Israel's Peres urges return to peace talks Sentence 2: Israel's Peres calls for return to peace talks", "output": "5 - perfectly" }, "2808": { "input": "Sentence 1: Indian stocks open lower Sentence 2: Indian stocks close lower", "output": "2 - possibly" }, "2809": { "input": "Sentence 1: US readies possible solo action against Syria Sentence 2: US makes case for action against Syria", "output": "3 - probably" }, "2810": { "input": "Sentence 1: Brief clashes with police in Belfast Sentence 2: Mourners clash with police in Tunisia", "output": "1 - probably not" }, "2811": { "input": "Sentence 1: China quake: Death toll rises Sentence 2: China flu death toll rises to six", "output": "1 - probably not" }, "2812": { "input": "Sentence 1: Four arrested as Bangladesh building toll rises to 352 Sentence 2: Owner arrested as Bangladesh building toll reaches 372", "output": "3 - probably" }, "2813": { "input": "Sentence 1: RI condemns use of chemical weapons in Syria Sentence 2: Questions arise over chemical weapons claims in Syria", "output": "3 - probably" }, "2814": { "input": "Sentence 1: Strong new quake hits shattered Pak region Sentence 2: Powerful new earthquake hits shattered Pakistan region", "output": "5 - perfectly" }, "2815": { "input": "Sentence 1: Indian troops kill Pakistani soldier along Kashmir line of control Sentence 2: Indian troops raid Pakistani military post", "output": "1 - probably not" }, "2816": { "input": "Sentence 1: Pope Benedict XVI Says Goodbye to Cardinals Sentence 2: Pope Benedict XVI departs Vatican for last time", "output": "4 - almost perfectly" }, "2817": { "input": "Sentence 1: China’s new carrier extends military modernization drive Sentence 2: Chinese vice premier meets Australian Governor-General", "output": "1 - probably not" }, "2818": { "input": "Sentence 1: Brazilian leader holds crisis talks on street protests Sentence 2: Brazil leader promises reform vote", "output": "2 - possibly" }, "2819": { "input": "Sentence 1: Tropical Storm Andrea zipping up the East Coast Sentence 2: Tropical Storm Andrea to slide up East Coast", "output": "4 - almost perfectly" }, "2820": { "input": "Sentence 1: Four dead in Indonesia train accident Sentence 2: Five dead as Indonesia train collides with fuel truck", "output": "3 - probably" }, "2821": { "input": "Sentence 1: Israel advances plan to build 900 settlement homes Sentence 2: Israel unveils plans for new settler homes", "output": "4 - almost perfectly" }, "2822": { "input": "Sentence 1: Miss New York wins Miss America crown Sentence 2: Miss New York is crowned Miss America", "output": "5 - perfectly" }, "2823": { "input": "Sentence 1: US set for Obama inauguration Sentence 2: US House backs new sanctions before Iran inauguration", "output": "0 - definitely not" }, "2824": { "input": "Sentence 1: Suspected Saudi militant dies in Lebanese custody Sentence 2: Suspected US drone kills 6 militants in Yemen", "output": "0 - definitely not" }, "2825": { "input": "Sentence 1: Man sets himself on fire on the National Mall Sentence 2: Man sets himself on fire at Washington's National Mall", "output": "5 - perfectly" }, "2826": { "input": "Sentence 1: 7 killed in attacks in Iraq Sentence 2: 27 killed in attacks across Iraq", "output": "2 - possibly" }, "2827": { "input": "Sentence 1: Thousands protest gay marriage Sentence 2: Thousands protest gay marriage in France", "output": "3 - probably" }, "2828": { "input": "Sentence 1: India Ink: Image of the Day: January 27 Sentence 2: India Ink: Image of the Day: March 20", "output": "1 - probably not" }, "2829": { "input": "Sentence 1: China's 1st Pilot Free Trade Zone Opens Sentence 2: Shanghai Free Trade Zone begins operation", "output": "4 - almost perfectly" }, "2830": { "input": "Sentence 1: 12 killed, 25 injured in bomb blast in NW Pakistan Sentence 2: 6 killed, 12 injured in blast in NW Pakista", "output": "3 - probably" }, "2831": { "input": "Sentence 1: Select images from Bangladesh building collapse Sentence 2: At least 200 killed in Bangladesh building collapse", "output": "1 - probably not" }, "2832": { "input": "Sentence 1: Chinese court upholds death penalties for Mekong murderers Sentence 2: Court upholds death sentences for Mekong murderers", "output": "4 - almost perfectly" }, "2833": { "input": "Sentence 1: Egypt protesters 'to be dispersed' Sentence 2: Abduction teacher to be sentenced", "output": "0 - definitely not" }, "2834": { "input": "Sentence 1: Gas cylinder blast on Pakistan school bus kills 17 Sentence 2: Deadly Gas Cylinder Blast Hits Pakistan School Bus", "output": "4 - almost perfectly" }, "2835": { "input": "Sentence 1: North Korean cargo reveals missile repair trade with Cuba Sentence 2: N Korean ship carrying Cuba missiles seized", "output": "3 - probably" }, "2836": { "input": "Sentence 1: Israeli forces detain 5 Palestinians in West Bank Sentence 2: Israeli Forces Arrest Five Palestinians across West Bank", "output": "5 - perfectly" }, "2837": { "input": "Sentence 1: Protests sweep Brazil despite concession Sentence 2: Protests planned across Brazil despite concessions", "output": "4 - almost perfectly" }, "2838": { "input": "Sentence 1: Angela Merkel wins third term in German elections Sentence 2: Merkel Wins Big in Germany Election", "output": "4 - almost perfectly" }, "2839": { "input": "Sentence 1: South Korean Workers Start Leaving Joint Factory Zone Sentence 2: South Korean workers set to leave joint factory zone", "output": "4 - almost perfectly" }, "2840": { "input": "Sentence 1: Senate to vote on moving ahead on Hagel nod Sentence 2: Benedict comes home to new house and new Pope", "output": "0 - definitely not" }, "2841": { "input": "Sentence 1: Cambodian opposition leader Sam Rainsy returns to stir up election Sentence 2: Cambodia opposition head turns to parliament in poll bid", "output": "3 - probably" }, "2842": { "input": "Sentence 1: West hails Syria opposition vote to join peace talks Sentence 2: Syrian opposition to name delegation for talks", "output": "3 - probably" }, "2843": { "input": "Sentence 1: Obama travels to tornado-ravaged Oklahoma Sentence 2: Obama visits tornado hit Oklahoma", "output": "5 - perfectly" }, "2844": { "input": "Sentence 1: Syria car bomb kills at least 12 in rebel-held town Sentence 2: Sinai car bomb kills at least 10 Egyptian soldiers", "output": "2 - possibly" }, "2845": { "input": "Sentence 1: Kerry: $4b Palestinian Economic Plan Could Work Sentence 2: Kerry: No deal yet in nuclear talks with Iran", "output": "0 - definitely not" }, "2846": { "input": "Sentence 1: Bangladesh building collapse death toll hits 359 Sentence 2: Indian building collapse death toll rises to 72", "output": "1 - probably not" }, "2847": { "input": "Sentence 1: Dozens dead in Central African Republic fighting Sentence 2: 98 dead in Central African Republic after clashes", "output": "3 - probably" }, "2848": { "input": "Sentence 1: Libya threatens army action against oil protesters Sentence 2: Bomb threat forces evacuation at Princeton", "output": "1 - probably not" }, "2849": { "input": "Sentence 1: [Ticker] Fitch upgrades Greek credit rating Sentence 2: Moody's upgrades Greek credit rating", "output": "3 - probably" }, "2850": { "input": "Sentence 1: Gunmen ambush police boat in Nigeria oil region Sentence 2: Sudanese police block protest at human rights commission", "output": "0 - definitely not" }, "2851": { "input": "Sentence 1: Russians leaving Syria cross into Lebanon Sentence 2: Russia delivers humanitarian aid to Syrian refugees in Lebanon", "output": "2 - possibly" }, "2852": { "input": "Sentence 1: Two U.S. soldiers killed in \"insider\" attack in Afghanistan Sentence 2: 8 soldiers killed in bomb attack in NW Pakistan", "output": "1 - probably not" }, "2853": { "input": "Sentence 1: South African icon Nelson Mandela hospitalized Sentence 2: South Africa's Nelson Mandela Hospitalized", "output": "5 - perfectly" }, "2854": { "input": "Sentence 1: Pope Francis condemns global indifference to suffering Sentence 2: Pope Francis commemorates dead migrants at Lampedusa", "output": "1 - probably not" }, "2855": { "input": "Sentence 1: Top judge Mansour sworn in as Egypt interim president Sentence 2: Justice Adly Mansour sworn in as Egypt interim president", "output": "4 - almost perfectly" }, "2856": { "input": "Sentence 1: Blast kills 10 young girls in eastern Afghanistan Sentence 2: Blast kills nine in southern Afghanistan: officials", "output": "3 - probably" }, "2857": { "input": "Sentence 1: Kenyan police arrest key Al-Shabaab recruiter, financier Sentence 2: Kenya: Pair Arrested By Anti-Terror Police", "output": "3 - probably" }, "2858": { "input": "Sentence 1: Obama to announce gun control plans Wednesday Sentence 2: Obama to set out gun control plans", "output": "4 - almost perfectly" }, "2859": { "input": "Sentence 1: Bombs kill two people, wound dozens at Boston Marathon Sentence 2: Only two bombs found in Boston Marathon attack", "output": "2 - possibly" }, "2860": { "input": "Sentence 1: Syria’s chemical weapons could end up at sea Sentence 2: US to destroy Syria chemical weapon stockpile at sea", "output": "2 - possibly" }, "2861": { "input": "Sentence 1: President for early conclusion of Eco Partnership with Sri Lanka Sentence 2: Pakistan PM for deeper economic ties with Sri Lanka", "output": "3 - probably" }, "2862": { "input": "Sentence 1: Three freed in centre abuse probe Sentence 2: Three storey building collapses in Ebute Meta", "output": "0 - definitely not" }, "2863": { "input": "Sentence 1: Bomb explodes at Greek shopping mall, two people injured Sentence 2: Bomb explodes at Athens shopping mall, 2 wounded", "output": "4 - almost perfectly" }, "2864": { "input": "Sentence 1: Six Australians killed in Laos plane crash Sentence 2: Dozens killed in Laos plane crash", "output": "3 - probably" }, "2865": { "input": "Sentence 1: Three dead, including gunman, in Maryland mall shooting Sentence 2: 3 dead in Maryland mall shooting", "output": "4 - almost perfectly" }, "2866": { "input": "Sentence 1: 7 killed in monster truck crash Sentence 2: 6 killed in Mexico ‘monster truck’ crash", "output": "3 - probably" }, "2867": { "input": "Sentence 1: Merkel Vies 3rd Term in Office in Germany Elections Sentence 2: Merkel Wins Big in Germany Election", "output": "3 - probably" }, "2868": { "input": "Sentence 1: Ex-Virginia governor Bob McDonnell charged with corruption Sentence 2: Virginia's ex-Gov. Bob McDonnell, wife charged with corruption", "output": "4 - almost perfectly" }, "2869": { "input": "Sentence 1: 6.3-magnitude quake hits Honshu, Japan: CENC Sentence 2: Magnitude-6.0 quake jolts Santa Cruz Islands: CENC", "output": "2 - possibly" }, "2870": { "input": "Sentence 1: Pakistan to release most senior Afghan Taliban prisoner Sentence 2: Pakistan to release senior Taliban commander on Saturday", "output": "4 - almost perfectly" }, "2871": { "input": "Sentence 1: Egypt court orders release of Mubarak Sentence 2: Egypt court orders Mubarak freed", "output": "5 - perfectly" }, "2872": { "input": "Sentence 1: American investigators waiting to question arrested Boston bomber Sentence 2: Police converge on street in search for Boston bomb suspect", "output": "2 - possibly" }, "2873": { "input": "Sentence 1: 10 dead, five injured in SW China road accident Sentence 2: 1 dead, 39 injured in E China road accident", "output": "2 - possibly" }, "2874": { "input": "Sentence 1: Bollywood cuts costs by a third as rupee collapse bites Sentence 2: Bollywood cuts costs as rupee crisis bites", "output": "4 - almost perfectly" }, "2875": { "input": "Sentence 1: Women to face higher car insurance premiums Sentence 2: Women drivers to face insurance premium rise", "output": "5 - perfectly" }, "2876": { "input": "Sentence 1: Tornadoes rip through Midwest, killing 6 and devastating neighborhoods Sentence 2: Tornadoes, damaging storms hit U.S. Midwest, killing 5", "output": "3 - probably" }, "2877": { "input": "Sentence 1: China gives US regulators access to audit records Sentence 2: China opposes US arms sales to Taiwan", "output": "1 - probably not" }, "2878": { "input": "Sentence 1: Singapore stocks end up 0.26 percent Sentence 2: Singapore stocks end up 0.11 pct", "output": "2 - possibly" }, "2879": { "input": "Sentence 1: Iran, atomic agency in first talks since Rowhani election Sentence 2: IAEA, Iran to hold first nuclear talks since Rohani election", "output": "5 - perfectly" }, "2880": { "input": "Sentence 1: China's new PM rejects US hacking claims Sentence 2: China Premier Li rejects 'groundless' US hacking accusations", "output": "5 - perfectly" }, "2881": { "input": "Sentence 1: Dzhokhar Tsarnaev pleads not guilty to Boston bombing charges Sentence 2: Dzhokhar Tsarnaev charged in Boston Marathon bombing", "output": "3 - probably" }, "2882": { "input": "Sentence 1: Pictures of the day: 7 August 2013 Sentence 2: Picture of the Day", "output": "3 - probably" }, "2883": { "input": "Sentence 1: P.G. police seeking driver in crash that killed child Sentence 2: Police seek gunmen in New Orleans Mother's Day parade shooting", "output": "0 - definitely not" }, "2884": { "input": "Sentence 1: Egypt to hold presidential elections before parliamentary polls Sentence 2: Egypt's interim president swears in new Cabinet", "output": "1 - probably not" }, "2885": { "input": "Sentence 1: Pentagon adjusts plans for more intense attacks on Syria Sentence 2: Pope thanks public for joining his Syria vigil", "output": "1 - probably not" }, "2886": { "input": "Sentence 1: East Timor bans martial arts clubs amid killings Sentence 2: East Timor Bans Martial Arts Schools Amid Killings", "output": "5 - perfectly" }, "2887": { "input": "Sentence 1: Afghan legislators approve new election law Sentence 2: Afghan president approves new electon law", "output": "3 - probably" }, "2888": { "input": "Sentence 1: In Pakistan, army adamant on fighting the other Taliban Sentence 2: Pak army adamant on fighting the other Taleban", "output": "5 - perfectly" }, "2889": { "input": "Sentence 1: Egyptian army pushes to attack kidnappers Sentence 2: Egypt's Morsi rules out talks as hostage video appears", "output": "1 - probably not" }, "2890": { "input": "Sentence 1: South Africans Mourn as Mandela Buried Sentence 2: South Africa holds state funeral for Mandela", "output": "3 - probably" }, "2891": { "input": "Sentence 1: Witnesses hear 'loud booms' at Boston Marathon Sentence 2: Report of two explosions at finish line of Boston Marathon", "output": "3 - probably" }, "2892": { "input": "Sentence 1: Cryptic crossword - Saturday 27th April Sentence 2: Quiz crossword - Saturday 27th April", "output": "3 - probably" }, "2893": { "input": "Sentence 1: Costa Concordia captain to be tried for manslaughter Sentence 2: Costa Concordia survivors detail experience one year later", "output": "1 - probably not" }, "2894": { "input": "Sentence 1: Israeli Minister Slams Kerry's Boycott Warning Sentence 2: Israeli minister slams Kerry’s boycott warning", "output": "5 - perfectly" }, "2895": { "input": "Sentence 1: Angelina Jolie's aunt dies of breast cancer Sentence 2: Angelina Jolie and the complex truth about breast cancer", "output": "3 - probably" }, "2896": { "input": "Sentence 1: Myanmar’s Suu Kyi urges party unity amid squabbles Sentence 2: Suu Kyi urges party unity amid squabbles", "output": "5 - perfectly" }, "2897": { "input": "Sentence 1: 10 Things to Know for Wednesday Sentence 2: 10 Things to Know for Today", "output": "3 - probably" }, "2898": { "input": "Sentence 1: White House, defense contractors discuss harm of automatic spending cuts Sentence 2: White House, defense firms discuss automatic spending cuts", "output": "4 - almost perfectly" }, "2899": { "input": "Sentence 1: Venezuela's Hugo Chavez dies of cancer Sentence 2: Venezuelan President Hugo Chavez dies of cancer at 58", "output": "4 - almost perfectly" }, "2900": { "input": "Sentence 1: Former Zambian president arrested Sentence 2: Zambia's ex-President Rupiah Banda arrested", "output": "4 - almost perfectly" }, "2901": { "input": "Sentence 1: US Senate confirms Yellen as Fed's next chair Sentence 2: US Senate Confirms Janet Yellen as New Central Bank Chief", "output": "4 - almost perfectly" }, "2902": { "input": "Sentence 1: 26 Palestinian prisoners released from Israeli prison Sentence 2: Palestinian prisoner dies of cancer, unrest in Israel jails", "output": "1 - probably not" }, "2903": { "input": "Sentence 1: Asian shares rally after string of upbeat data Sentence 2: Asian Markets up on Strong US Jobs Data", "output": "4 - almost perfectly" }, "2904": { "input": "Sentence 1: 17 killed, 133 wounded in bomb attacks in northern Iraq Sentence 2: 15 killed, 90 wounded in fresh attacks in Iraq", "output": "3 - probably" }, "2905": { "input": "Sentence 1: Officer injured in India anti-rape protests dies Sentence 2: Indian policeman injured in gang-rape protest dies", "output": "4 - almost perfectly" }, "2906": { "input": "Sentence 1: Cyprus bailout remarks alarm markets Sentence 2: Why Cyprus bailout is nothing more than usual euro nonsense", "output": "3 - probably" }, "2907": { "input": "Sentence 1: Faction Names Bianca Ojukwu APGA National Leader Sentence 2: Bianca Ojukwu becomes APGA national leader", "output": "4 - almost perfectly" }, "2908": { "input": "Sentence 1: Twelve killed as gunmen raid village Sentence 2: Five Killed in Blasts in India", "output": "0 - definitely not" }, "2909": { "input": "Sentence 1: Egypt shuts down Muslim Brotherhood newspaper Sentence 2: Egypt: Muslim Brotherhood deputy head arrested", "output": "1 - probably not" }, "2910": { "input": "Sentence 1: Strong earthquake in western China kills 47 people Sentence 2: Strong earthquake in western China kills at least 75", "output": "3 - probably" }, "2911": { "input": "Sentence 1: Snowden thanks Russia for asylum Sentence 2: Snowden thanks Russia for granting asylum", "output": "5 - perfectly" }, "2912": { "input": "Sentence 1: Senate confirms Yellen as Fed head Sentence 2: US Senate confirms Yellen as Fed's next chair", "output": "4 - almost perfectly" }, "2913": { "input": "Sentence 1: French forces take key Mali town Sentence 2: French forces seize key town", "output": "4 - almost perfectly" }, "2914": { "input": "Sentence 1: Boston bombing suspect buried in Virginia Sentence 2: Boston bomb suspect buried in Virginia cemetery", "output": "5 - perfectly" }, "2915": { "input": "Sentence 1: Hostage drama drags on after Alabama school bus shooting Sentence 2: Nevada: 2 dead, 2 hurt in middle school shooting", "output": "1 - probably not" }, "2916": { "input": "Sentence 1: Palestinian president assigns academic to form West Bank gov't Sentence 2: Palestinian president wants Israelis to talk peace", "output": "2 - possibly" }, "2917": { "input": "Sentence 1: Pakistan's Malala leaves hospital to await surgery Sentence 2: Malala leaves British hospital", "output": "4 - almost perfectly" }, "2918": { "input": "Sentence 1: two found dead in swimming pool at essex hotel Sentence 2: Man and woman found dead in Essex hotel swimming pool", "output": "4 - almost perfectly" }, "2919": { "input": "Sentence 1: Pakistan condemns US drone strike in Shawal Area Sentence 2: Pakistan condemns US drone strike in Miranshah", "output": "3 - probably" }, "2920": { "input": "Sentence 1: Residents return to Texas blast site Sentence 2: Residents return to Fallujah", "output": "0 - definitely not" }, "2921": { "input": "Sentence 1: South Africa prays for Nelson Mandela Sentence 2: South Africa unites in prayer and song for Nelson Mandela", "output": "4 - almost perfectly" }, "2922": { "input": "Sentence 1: Iran's Ahmadinejad may face charges over election appearance with aide Sentence 2: Ahmadinejad may face charges over election appearance", "output": "4 - almost perfectly" }, "2923": { "input": "Sentence 1: Miliband pledges to strengthen minimum wage Sentence 2: Portugal-China to strengthen scientific research ties", "output": "0 - definitely not" }, "2924": { "input": "Sentence 1: Singapore stocks close 0.44 pct lower Sentence 2: Singapore stocks close 0.5 pct higher", "output": "3 - probably" }, "2925": { "input": "Sentence 1: Sniper waiting for result of appeal Sentence 2: New glories for China in striving for renewal", "output": "0 - definitely not" }, "2926": { "input": "Sentence 1: Apple shares hit hard on iPhone disappointment Sentence 2: Apple stock plunges 11% after earnings disappointment", "output": "3 - probably" }, "2927": { "input": "Sentence 1: EU renews sanctions against Zimbabwe Sentence 2: EU lifts diamond sanctions against Zimbabwe", "output": "3 - probably" }, "2928": { "input": "Sentence 1: occupied Palestinian territory: Palestinians rebuff US peace talks blueprint Sentence 2: occupied Palestinian territory: Palestinians Face a Route to Nowhere", "output": "1 - probably not" }, "2929": { "input": "Sentence 1: Owners, others charged in Bangladesh factory fire Sentence 2: 50 survivors found in Bangladesh factory", "output": "2 - possibly" }, "2930": { "input": "Sentence 1: Egypt set to lure Gulf investors Sentence 2: Egypt seeks to lure investors ...", "output": "3 - probably" }, "2931": { "input": "Sentence 1: US-Russia reach agreement on Syria Sentence 2: US-Russia reach agreement on Syria weapons", "output": "3 - probably" }, "2932": { "input": "Sentence 1: Palestinians, Jordan coordinate stances on peace talks Sentence 2: Hamas senior denies Gaza, PA coordinated on peace talks", "output": "2 - possibly" }, "2933": { "input": "Sentence 1: Voting canceled in three provinces in tense Thai election Sentence 2: Cambodian opposition rejects Hun Sen election win", "output": "0 - definitely not" }, "2934": { "input": "Sentence 1: Obama cancels Moscow meeting with Putin Sentence 2: Obama canceled meeting with Putin", "output": "4 - almost perfectly" }, "2935": { "input": "Sentence 1: KLCI Futures traded mixed at mid-day Sentence 2: KL shares mixed at mid-day", "output": "4 - almost perfectly" }, "2936": { "input": "Sentence 1: Suspected U.S. drone strike kills 5 in Pakistan Sentence 2: US drone strike kills at least ten in Pakistan", "output": "3 - probably" }, "2937": { "input": "Sentence 1: Egypt court orders Mubarak release Sentence 2: Egypt court turns down Mubarak's release request", "output": "2 - possibly" }, "2938": { "input": "Sentence 1: Hollande 'threatens legal action' after affair allegations Sentence 2: François Hollande threatens legal action over affair claims", "output": "4 - almost perfectly" }, "2939": { "input": "Sentence 1: Iranian exiles report deaths in Iraq camp Sentence 2: At least 47 Iranian exiles killed at Iraq's Camp Ashraf", "output": "3 - probably" }, "2940": { "input": "Sentence 1: 'Blade Runner' Pistorius to dispute murder charge Sentence 2: Pistorius cop on seven attempted murder charges", "output": "2 - possibly" }, "2941": { "input": "Sentence 1: Israeli forces detain 2 in Hebron arrest raid Sentence 2: Israeli credibility on line over Iran nuclear challenge", "output": "2 - possibly" }, "2942": { "input": "Sentence 1: Egyptians vote on Islamist-backed constitution Sentence 2: 'Judge at polls directs voters on Egypt constitution vote'", "output": "1 - probably not" }, "2943": { "input": "Sentence 1: Mexico swears in president amid violent protests Sentence 2: Former New Mexico Gov. Richardson pressing North Korean test ban", "output": "0 - definitely not" }, "2944": { "input": "Sentence 1: Helicopter crashes near rail station in London Sentence 2: Helicopter crashes in London", "output": "4 - almost perfectly" }, "2945": { "input": "Sentence 1: Indonesian capital prays for metro to ease traffic chaos Sentence 2: Jakarta prays for metro to ease traffic chaos", "output": "4 - almost perfectly" }, "2946": { "input": "Sentence 1: Japanese planes flew into China's new defense zone Sentence 2: Japan, S Korean military planes defy China's new defence zone", "output": "4 - almost perfectly" }, "2947": { "input": "Sentence 1: Typhoon survivors raid Philippine stores Sentence 2: Typhoon Bopha kills 15 in S. Philippines", "output": "1 - probably not" }, "2948": { "input": "Sentence 1: Car Bomb Wounds 15 in Hezbollah Stronghold in Lebanon Sentence 2: Car bomb rocks Hezbollah stronghold in Lebanon", "output": "3 - probably" }, "2949": { "input": "Sentence 1: Five dead, 40 missing in Canada train disaster Sentence 2: 8 dead, 11 missing in SW China landslide", "output": "1 - probably not" }, "2950": { "input": "Sentence 1: US Senate confirms Janet Yellen as US Federal Reserve chief Sentence 2: Senate confirms Janet Yellen as next Federal Reserve Chair", "output": "5 - perfectly" }, "2951": { "input": "Sentence 1: At Least 66 Killed in Bomb Blasts in Iraq Sentence 2: At Least 47 Killed In Baquba Blasts", "output": "2 - possibly" }, "2952": { "input": "Sentence 1: Russia Destroys Over 75% of Its Chemical Weapons Stockpile Sentence 2: Britain Sees Evidence Assad Could Use Chemical Weapons", "output": "1 - probably not" }, "2953": { "input": "Sentence 1: Iran earthquake death toll rises Sentence 2: Algeria hostage death toll rises", "output": "1 - probably not" }, "2954": { "input": "Sentence 1: Suarez set for Cup comeback Sentence 2: French set for Mali ground combat", "output": "1 - probably not" }, "2955": { "input": "Sentence 1: Maldives team in India to observe an election Sentence 2: Testimony in trial of former FM Liberman begins", "output": "1 - probably not" }, "2956": { "input": "Sentence 1: Pakistan releases top Afghan Taliban prisoner Sentence 2: Pakistan releases seven Afghan Taliban fighters", "output": "4 - almost perfectly" }, "2957": { "input": "Sentence 1: Mixed reactions to NZ same-sex marriage Sentence 2: New Zealand legalizes same-sex marriage", "output": "2 - possibly" }, "2958": { "input": "Sentence 1: TV weatherman Fred Talbot arrested over sex claims Sentence 2: Weatherman Fred Talbot Held Over 'Sex Abuse'", "output": "4 - almost perfectly" }, "2959": { "input": "Sentence 1: U.S. drone strike kills 5 in Pakistan Sentence 2: Pakistan drone strike kills up to six", "output": "3 - probably" }, "2960": { "input": "Sentence 1: Building collapses in India; 25 feared trapped Sentence 2: India building collapse kills 14; dozens trapped", "output": "3 - probably" }, "2961": { "input": "Sentence 1: Somalia's Shebab claims responsibility for Nairobi mall attack Sentence 2: Syrian rebels claim responsibility for killings in Lebanon", "output": "1 - probably not" }, "2962": { "input": "Sentence 1: Syrian troops push into strategic rebelheld town Sentence 2: Syrian army pushes assault on rebel-held town", "output": "4 - almost perfectly" }, "2963": { "input": "Sentence 1: Israel agrees to release Palestinian prisoners Sentence 2: Israel releases 26 more Palestinian prisoners", "output": "3 - probably" }, "2964": { "input": "Sentence 1: Thai opposition protesters begin Bangkok shutdown Sentence 2: Thai protesters launch Bangkok 'shutdown'", "output": "5 - perfectly" }, "2965": { "input": "Sentence 1: Spanish train crash driver to be questioned Sentence 2: Spanish train driver Garzon to be questioned by judge", "output": "4 - almost perfectly" }, "2966": { "input": "Sentence 1: France Hails Breakthrough after U.S.-Russia Deal on Syria Weapons Sentence 2: France Welcomes US-Russia Deal on Syria", "output": "4 - almost perfectly" }, "2967": { "input": "Sentence 1: ISAF soldier killed in Afghan 'insider attack' Sentence 2: British soldier shot dead in Afghan ‘insider attack’", "output": "4 - almost perfectly" }, "2968": { "input": "Sentence 1: About 60 Crushed to Death in Ivory Coast Stampede Sentence 2: 61 dead in Ivory Coast stampede", "output": "3 - probably" }, "2969": { "input": "Sentence 1: Glasgow Helicopter Crash Search Ends Sentence 2: Glasgow Helicopter Crash: At Least Six Dead", "output": "3 - probably" }, "2970": { "input": "Sentence 1: Three dead in US marathon bomb Sentence 2: Taliban denies involvement in Boston marathon bombing", "output": "1 - probably not" }, "2971": { "input": "Sentence 1: Swiss tourist gang-raped in India Sentence 2: Swiss tourist gang-raped in India", "output": "5 - perfectly" }, "2972": { "input": "Sentence 1: India Braces for Massive Cyclone Sentence 2: India issues red alert for cyclone Phailin", "output": "3 - probably" }, "2973": { "input": "Sentence 1: Discipline against student gunman thought to have sparked Colorado shooting Sentence 2: Discipline against student thought to be key to motive", "output": "3 - probably" }, "2974": { "input": "Sentence 1: Many killed in Japan road tunnel collapse Sentence 2: Many killed in Syrian air strike", "output": "1 - probably not" }, "2975": { "input": "Sentence 1: No plan to shut petrol pumps at night Moily Sentence 2: India govt rejects proposal to shut petrol pumps at night", "output": "4 - almost perfectly" }, "2976": { "input": "Sentence 1: Clinton to testify this month on Benghazi attack Sentence 2: Clinton returns to work, plans to testify on Benghazi attack", "output": "4 - almost perfectly" }, "2977": { "input": "Sentence 1: Tens of Thousands of Ukrainians Protest in Kyiv Sentence 2: Tens of thousands line up to cast votes in Bhutan", "output": "1 - probably not" }, "2978": { "input": "Sentence 1: Karzai to visit Pakistan for Taliban peace talks Sentence 2: Afghan president extends visit to Pakistan for Taliban talks", "output": "4 - almost perfectly" }, "2979": { "input": "Sentence 1: Thieves snatch English Channel swimmer's custom-made wheelchair Sentence 2: Thieves steal Channel swimmer's wheelchair", "output": "4 - almost perfectly" }, "2980": { "input": "Sentence 1: Three die after car crash at Tian'anmen Sentence 2: Three Killed In Crash At Tiananmen Square", "output": "5 - perfectly" }, "2981": { "input": "Sentence 1: Singapore shares open lower on Friday Sentence 2: Singapore shares open higher on Thursday", "output": "2 - possibly" }, "2982": { "input": "Sentence 1: Obama pledges to reignite economy Sentence 2: Obama to press Congress to act on economy", "output": "3 - probably" }, "2983": { "input": "Sentence 1: Two Earthquakes Hit Northwest China, 11 Dead Sentence 2: Twin quakes kill 89 in China", "output": "2 - possibly" }, "2984": { "input": "Sentence 1: 'Whitey' Bulger given two consecutive life terms Sentence 2: Whitey Bulger gets life for racketeering, killings", "output": "3 - probably" }, "2985": { "input": "Sentence 1: Kenyan forces caused mall collapse Sentence 2: Official says Kenyan forces caused mall collapse", "output": "5 - perfectly" }, "2986": { "input": "Sentence 1: Pak missions in UAE gear up for elections Sentence 2: Islamist parties in Egypt unite for elections", "output": "1 - probably not" }, "2987": { "input": "Sentence 1: Bangladesh building disaster death toll passes 500 Sentence 2: Bangladesh building collapse: death toll climbs to 580", "output": "3 - probably" }, "2988": { "input": "Sentence 1: Algeria hostage crisis ends; death toll unclear Sentence 2: Algeria hostage crisis ends in bloodbath", "output": "4 - almost perfectly" }, "2989": { "input": "Sentence 1: Egypt ministry again urges end to pro-Morsi protests Sentence 2: Egypt: Child killed in Cairo clashes after pro-Morsi protest", "output": "3 - probably" }, "2990": { "input": "Sentence 1: South Africa's Mandela taken to hospital Sentence 2: South Africa: Mandela remains in hospital", "output": "3 - probably" }, "2991": { "input": "Sentence 1: China yuan strengthens to 6.2689 against USD Sentence 2: China yuan strengthens to new high against USD", "output": "3 - probably" }, "2992": { "input": "Sentence 1: Police question man in deadly LA boardwalk crash Sentence 2: Police arrest suspect in deadly LA driving attack", "output": "2 - possibly" }, "2993": { "input": "Sentence 1: Turkish riot police tear gas Taksim Square protest Sentence 2: Turkish riot police enter Taksim Square", "output": "3 - probably" }, "2994": { "input": "Sentence 1: Chicago Shooting Shows Gap in Stepped-up Policing Sentence 2: Chicago shooting shows gap in stepped-up policing", "output": "5 - perfectly" }, "2995": { "input": "Sentence 1: Feds move to require car-to-car safety communication Sentence 2: Guatemala overturns former dictator's genocide conviction", "output": "0 - definitely not" }, "2996": { "input": "Sentence 1: North Korea shuns offer of talks Sentence 2: North Korea shoots 2 rockets", "output": "1 - probably not" }, "2997": { "input": "Sentence 1: Prince Charles 'compares Putin to Hitler' Sentence 2: Prince Charles 'compares Vladimir Putin to Adolf Hitler'", "output": "5 - perfectly" }, "2998": { "input": "Sentence 1: Iran warns against military intervention in Iraq Sentence 2: Explosion near Damascus military airport", "output": "0 - definitely not" }, "2999": { "input": "Sentence 1: Israel PM accuses Iran president of hypocrisy Sentence 2: Greek PM accuses coalition of hypocrisy", "output": "1 - probably not" }, "3000": { "input": "Sentence 1: Police clash with youth in Cairo after anti-Morsi protest Sentence 2: Egypt: Police clash with pro-Morsi protesters", "output": "3 - probably" }, "3001": { "input": "Sentence 1: Top Diplomats Meet in Munich at Critical Time Sentence 2: Top Diplomats Discuss Iran's Nuclear Program", "output": "2 - possibly" }, "3002": { "input": "Sentence 1: Snowden 'given refugee document by Ecuador' Sentence 2: Snowden poised to fly out of Moscow", "output": "1 - probably not" }, "3003": { "input": "Sentence 1: NA President‚Äôs message on the World Press Freedom Day Sentence 2: Pakistan marks World Press Freedom Day", "output": "2 - possibly" }, "3004": { "input": "Sentence 1: EU foreign ministers to discuss Syria arms embargo Sentence 2: EU foreign ministers seek solution on Syria arms", "output": "4 - almost perfectly" }, "3005": { "input": "Sentence 1: Death toll from Philippine earthquake rises to 185 Sentence 2: Death toll from Philippines quake rises to 144", "output": "4 - almost perfectly" }, "3006": { "input": "Sentence 1: Stocks to watch at close on Monday Sentence 2: Stocks to watch on Monday", "output": "4 - almost perfectly" }, "3007": { "input": "Sentence 1: Army jets kill 38 militants in NW Pakistan air raids Sentence 2: U.S. drone kills 4 militants in Pakistan", "output": "3 - probably" }, "3008": { "input": "Sentence 1: Egyptian police fire tear gas at protesters in Cairo Sentence 2: Police fire tear gas at protesters in Cairo", "output": "4 - almost perfectly" }, "3009": { "input": "Sentence 1: Philippines holds second senator over corruption Sentence 2: Philippines recovering after powerful typhoon", "output": "1 - probably not" }, "3010": { "input": "Sentence 1: German envoy optimistic about Iran-G5+1 talks Sentence 2: Iran 'cautiously optimistic' about future nuclear talks", "output": "1 - probably not" }, "3011": { "input": "Sentence 1: Renowned Spanish flamenco guitarist Paco De Lucia dies Sentence 2: Spanish flamenco guitarist Paco de Lucia dies at 66", "output": "5 - perfectly" }, "3012": { "input": "Sentence 1: Chinese icebreaker changes course towards suspicious objects Sentence 2: Chinese search plane finds 'suspicious objects'", "output": "2 - possibly" }, "3013": { "input": "Sentence 1: Snowden Hits Hurdles in Search for Asylum Sentence 2: Snowden's hits hurdles in search for asylum", "output": "5 - perfectly" }, "3014": { "input": "Sentence 1: Pakistan imposes temporary ban on 2 TV channels Sentence 2: Pakistan Dismisses Case against FBI Agent", "output": "1 - probably not" }, "3015": { "input": "Sentence 1: Palestinian prisoners arrive at Muqata in Ramallah Sentence 2: Pakistani prisoner assaulted in Jammu jail", "output": "1 - probably not" }, "3016": { "input": "Sentence 1: 10 dead, five injured in SW China road accident Sentence 2: 5 hurt in Gaza City car accident", "output": "1 - probably not" }, "3017": { "input": "Sentence 1: Thai junta amasses security force to smother Bangkok protests Sentence 2: Thai junta security forces stay in barracks as protests dwindle", "output": "2 - possibly" }, "3018": { "input": "Sentence 1: Aso refuses to resign over Nazi comments Sentence 2: Spanish PM refuses to resign over corruption scandal", "output": "0 - definitely not" }, "3019": { "input": "Sentence 1: Explosions kill 29 outside two mosques in Lebanon's Tripoli Sentence 2: 2 explosions rock city in northern Lebanon", "output": "2 - possibly" }, "3020": { "input": "Sentence 1: Pakistan fighter jets bomb 'Taliban hideouts' Sentence 2: Pakistan wants arms supply to Syrian sides stopped", "output": "2 - possibly" }, "3021": { "input": "Sentence 1: Gunmen Kill Eight In Second Kenya Attack Sentence 2: Gunmen 'Kill 15' In Second Kenya Attack", "output": "3 - probably" }, "3022": { "input": "Sentence 1: U.S. resumes search for missing British sailors after public Sentence 2: US Coast Guard suspends search for missing British sailors", "output": "2 - possibly" }, "3023": { "input": "Sentence 1: Iraqi Bomb Attacks Kill At Least 13 Sentence 2: Iraqi Car Bomb Near Church Kills At Least 14", "output": "3 - probably" }, "3024": { "input": "Sentence 1: Egypt forces set to block access to Morsi protest camps Sentence 2: Egyptian forces move to clear pro-Morsi protest camps", "output": "2 - possibly" }, "3025": { "input": "Sentence 1: Nobel author Doris Lessing dies at 94 Sentence 2: Nobel laureate Doris Lessing dies at 94", "output": "5 - perfectly" }, "3026": { "input": "Sentence 1: Japan's opposition party chief criticizes Abe's economic policies Sentence 2: Zimbabwe‚Äôs opposition MDC party challenges Robert Mugabe‚Äôs election win", "output": "0 - definitely not" }, "3027": { "input": "Sentence 1: 3 Suspects Taken Into Custody in Boston Bombing Case Sentence 2: Boston police say 3 taken into custody in Marathon bombing", "output": "5 - perfectly" }, "3028": { "input": "Sentence 1: Ukraine's opposition chief wants more protests Sentence 2: Ukraine protesters topple Lenin statue", "output": "2 - possibly" }, "3029": { "input": "Sentence 1: Queen pays tribute to Nelson Mandela Sentence 2: South Africa's rugby fraternity mourns Mandela", "output": "1 - probably not" }, "3030": { "input": "Sentence 1: Declines in US stock market moderate Sentence 2: Tech sell-off sends Asian stock markets lower", "output": "0 - definitely not" }, "3031": { "input": "Sentence 1: Latest Anti-Muslim Violence in Burma Kills 1, Injures 10 Sentence 2: World Briefing | Asia: Myanmar: Deadly Anti-Muslim Violence Flares Up", "output": "3 - probably" }, "3032": { "input": "Sentence 1: Suspected U.S. drone strike kills 5 in Pakistan Sentence 2: U.S. drone strike kills 5 in Pakistan", "output": "4 - almost perfectly" }, "3033": { "input": "Sentence 1: The Note's Must-Reads for Friday May 24, 2013 Sentence 2: The Note's Must-Reads for Tuesday October 29, 2013", "output": "2 - possibly" }, "3034": { "input": "Sentence 1: 22 killed in mine accident in southwestern China Sentence 2: 2 killed, dozens injured by blast in southwest Pakistan", "output": "1 - probably not" }, "3035": { "input": "Sentence 1: NYPD Twitter Outreach Backfires Badly Sentence 2: NYPD's twitter campaign backfires", "output": "5 - perfectly" }, "3036": { "input": "Sentence 1: Turkish search ends as last missing miners found Sentence 2: Turkish Search Ends as Last Missing Miners Found", "output": "5 - perfectly" }, "3037": { "input": "Sentence 1: Iran predicts failure of Israeli-Palestinian peace talks Sentence 2: Tentative Deal Reached to Resume Israeli-Palestinian Talks - US", "output": "1 - probably not" }, "3038": { "input": "Sentence 1: Olivia Colman wins second BAFTA Award Sentence 2: Baftas 2013: Olivia Colman picks up two awards", "output": "4 - almost perfectly" }, "3039": { "input": "Sentence 1: Titanic Violin Nabs Record $1.4 Million Sentence 2: Titanic violin sells for $1.7 million", "output": "4 - almost perfectly" }, "3040": { "input": "Sentence 1: Ankeet Chavan granted conditional bail for marriage Sentence 2: Ankeet Chavan granted bail to get married", "output": "5 - perfectly" }, "3041": { "input": "Sentence 1: JAL's first order from Airbus is blow to Boeing Sentence 2: Japan Airlines orders 31 Airbus A350s valued at $9.5 bn", "output": "3 - probably" }, "3042": { "input": "Sentence 1: Sienna Miller testifies at UK phone hacking trial Sentence 2: Sienna Miller attacks press for ‚Äėtitillating‚Äô reports at hacking trial", "output": "3 - probably" }, "3043": { "input": "Sentence 1: Israelis attack 2 Palestinians in Jerusalem area Sentence 2: Settlers Beat up Palestinian in Jerusalem", "output": "3 - probably" }, "3044": { "input": "Sentence 1: EU extends sanctions against Russia Sentence 2: Nigeria drops arms trafficking charges against Russian sailors", "output": "0 - definitely not" }, "3045": { "input": "Sentence 1: Cuba sees \"major role\" for foreign investment Sentence 2: House set to vote on plan to reopen government", "output": "0 - definitely not" }, "3046": { "input": "Sentence 1: ‚ÄėGlee‚Äô star Cory Monteith found dead in hotel room Sentence 2: Cory Monteith found dead: Canadian ‚ÄėGlee‚Äô star was 31", "output": "3 - probably" }, "3047": { "input": "Sentence 1: Iranian president makes debut on world stage Sentence 2: Iran presidential candidate says western sanctions should be broken", "output": "1 - probably not" }, "3048": { "input": "Sentence 1: Cameron 'has no concerns' over halal meat Sentence 2: Veterans health probe confirms cover-up of care delays", "output": "0 - definitely not" }, "3049": { "input": "Sentence 1: World's oldest man dies at 116 Sentence 2: World's oldest ever man dies aged 116", "output": "5 - perfectly" }, "3050": { "input": "Sentence 1: GM slow on recalls, Congress record shows Sentence 2: mobile world congress future smartphone", "output": "0 - definitely not" }, "3051": { "input": "Sentence 1: Death toll in Lebanon bombings rises to 47 Sentence 2: 1 suspect arrested after Lebanon car bombings kill 45", "output": "3 - probably" }, "3052": { "input": "Sentence 1: Greek far-right leader imprisoned pending trial Sentence 2: Greek Far-Right Leader Imprisoned Pending Trial", "output": "5 - perfectly" }, "3053": { "input": "Sentence 1: Bangladesh factory owners arrested as death toll nears 350 Sentence 2: Bangladesh factory owners arrested", "output": "3 - probably" }, "3054": { "input": "Sentence 1: 4 Egyptian soldiers killed in Sinai ambush Sentence 2: 3 Egyptian soldiers killed in Sinai car bombing", "output": "3 - probably" }, "3055": { "input": "Sentence 1: Beijing's Aircraft Carrier Returns from South China Sea Sentence 2: China sends carrier to South China Sea", "output": "2 - possibly" }, "3056": { "input": "Sentence 1: Egypt courts hear cases against Mubarak, Islamists Sentence 2: Egypt court temporarily releases Mubarak over illicit gains", "output": "2 - possibly" }, "3057": { "input": "Sentence 1: Nelson Mandela dies aged 95 Sentence 2: Nelson Mandela Dies at Age 95", "output": "5 - perfectly" }, "3058": { "input": "Sentence 1: Nazi Gestapo chief 'buried in Jewish cemetery' Sentence 2: Nazi chief buried in Jewish cemetary", "output": "5 - perfectly" }, "3059": { "input": "Sentence 1: Swiss vote on highest minimum wage Sentence 2: Swiss cast ballots on world's highest minimum wage", "output": "5 - perfectly" }, "3060": { "input": "Sentence 1: Kevin Rudd sworn in as Australian prime minister Sentence 2: Rudd sworn in as Australia's new Prime Minister", "output": "5 - perfectly" }, "3061": { "input": "Sentence 1: Easy Rider star Karen Black dies aged 74 Sentence 2: Easy Rider Actress Karen Black Dies Of Cancer", "output": "4 - almost perfectly" }, "3062": { "input": "Sentence 1: Coronation Street's Bill Roache Arrested Sentence 2: Coronation Street stars hail 'amazing' new set", "output": "1 - probably not" }, "3063": { "input": "Sentence 1: Red Sox beat Tigers to reach World Series Sentence 2: Red Sox beat Tigers 5-2 to advance to World Series", "output": "4 - almost perfectly" }, "3064": { "input": "Sentence 1: At Least 22 Dead After China Earthquake Sentence 2: At least 89 dead in China earthquakes", "output": "3 - probably" }, "3065": { "input": "Sentence 1: News is my Business Sentence 2: A New iPad Is Coming", "output": "0 - definitely not" }, "3066": { "input": "Sentence 1: Glasgow helicopter death toll rises to nine Sentence 2: Earthquake death toll rises to 260", "output": "1 - probably not" }, "3067": { "input": "Sentence 1: David Beckham to retire at end of season Sentence 2: David Beckham Retires From Football", "output": "4 - almost perfectly" }, "3068": { "input": "Sentence 1: Afghanistan: suicide bomber kills eight in military bus blast Sentence 2: Roadside bomb 'kills eight Afghan soldiers'", "output": "4 - almost perfectly" }, "3069": { "input": "Sentence 1: N. Korea's Kim hails execution of powerful uncle Sentence 2: North Korea's Kim seen behind sacking of powerful uncle", "output": "5 - perfectly" }, "3070": { "input": "Sentence 1: EU, Myanmar work toward investment protection agreement Sentence 2: China no longer top investment destination: poll", "output": "1 - probably not" }, "3071": { "input": "Sentence 1: Tehelka editor embroiled in sex assault scam Sentence 2: Tehelka editor steps down after allegations of sexual misconduct", "output": "4 - almost perfectly" }, "3072": { "input": "Sentence 1: Iron Lady Margaret Thatcher dies at 87 Sentence 2: Former British PM Margaret Thatcher dies at 87", "output": "5 - perfectly" }, "3073": { "input": "Sentence 1: Four Morsi supporters killed in Egypt clashes Sentence 2: Thousands of Morsi supporters gather in Egypt", "output": "2 - possibly" }, "3074": { "input": "Sentence 1: U.N. condemns ethnic killings in South Sudan oil town Sentence 2: UN Condemns Ethnic Killings in South Sudan", "output": "5 - perfectly" }, "3075": { "input": "Sentence 1: Feds drop 'morning-after pill' appeal Sentence 2: US to allow morning-after pill for girls of any age", "output": "3 - probably" }, "3076": { "input": "Sentence 1: Police fire tear gas at protesters in Bangkok Sentence 2: Police fire tear gas at protesters", "output": "3 - probably" }, "3077": { "input": "Sentence 1: Shooting, protests mar Thai voting Sentence 2: Thai protesters disrupt advance voting", "output": "4 - almost perfectly" }, "3078": { "input": "Sentence 1: China stock index futures close lower -- April 23 Sentence 2: China stock index futures close higher -- Dec. 4", "output": "2 - possibly" }, "3079": { "input": "Sentence 1: Seven Filipinos slain in Yemen attack Sentence 2: Syrian soldiers killed in bomb attack", "output": "1 - probably not" }, "3080": { "input": "Sentence 1: Israel ends airstrike case; Palestinians critical Sentence 2: Israeli gunboats fire at Palestinian fishermen", "output": "1 - probably not" }, "3081": { "input": "Sentence 1: Protesters topple Lenin statue in Kiev Sentence 2: Ukraine protesters topple Lenin statue in Kiev", "output": "4 - almost perfectly" }, "3082": { "input": "Sentence 1: Iran 'thwarts nuclear sabotage attempts' Sentence 2: Iran says detects sabotage at nuclear facility", "output": "4 - almost perfectly" }, "3083": { "input": "Sentence 1: China yuan strengthens to 6.1184 against USD Tuesday Sentence 2: China Yuan Strengthens to 6.168 against USD Monday", "output": "3 - probably" }, "3084": { "input": "Sentence 1: Protesters gather in Brazil despite concessions Sentence 2: Protests continue in Ukraine despite concessions", "output": "1 - probably not" }, "3085": { "input": "Sentence 1: Relief in Boston as second suspect captured Sentence 2: Police confirm how suspect was captured", "output": "2 - possibly" }, "3086": { "input": "Sentence 1: Syrian army retakes Crusader castle from rebels Sentence 2: Syrian army retakes historic Crusader castle", "output": "5 - perfectly" }, "3087": { "input": "Sentence 1: Saudi to give Lebanese army $3 billion Sentence 2: Saudi Arabia to grant Lebanese army $3 billion", "output": "5 - perfectly" }, "3088": { "input": "Sentence 1: Red Cross workers released in Ukraine Sentence 2: Red Cross members kidnapped in Syria", "output": "1 - probably not" }, "3089": { "input": "Sentence 1: Syria envoy says no peace talks without opposition Sentence 2: Syria: Cameron and Obama move west closer to intervention", "output": "1 - probably not" }, "3090": { "input": "Sentence 1: Queen to name biggest ever carrier Sentence 2: Queen names giant aircraft carrier", "output": "4 - almost perfectly" }, "3091": { "input": "Sentence 1: Bangla militants escape from prison van in bomb ambush Sentence 2: Bangladesh prison van ambushed", "output": "3 - probably" }, "3092": { "input": "Sentence 1: Influential Palestinians Seek One Democratic State Sentence 2: Arab League Backs Palestinian Stance in Peace Talks", "output": "1 - probably not" }, "3093": { "input": "Sentence 1: Dozens killed in Russian plane crash Sentence 2: Ten killed in Alaska plane crash", "output": "1 - probably not" }, "3094": { "input": "Sentence 1: U.S. retailers agree to Bangladesh plant safety pact Sentence 2: 70 retailers agree to new Bangladesh factory safety pact", "output": "4 - almost perfectly" }, "3095": { "input": "Sentence 1: US government shutdown begins - live updates Sentence 2: Government Shutdown Begins Over Health Care Feud", "output": "3 - probably" }, "3096": { "input": "Sentence 1: Suicide bomber kills 14 in Afghanistan Sentence 2: Suicide blast kills 1 in Afghan capital", "output": "3 - probably" }, "3097": { "input": "Sentence 1: China launches probe and rover to moon Sentence 2: China launches first moon rover mission", "output": "4 - almost perfectly" }, "3098": { "input": "Sentence 1: All eyes on Khurshid‚Äôs trip ... Sentence 2: EU finance ministers‚Äô talks b...", "output": "2 - possibly" }, "3099": { "input": "Sentence 1: Australia cuts rates to record low Sentence 2: Australia cuts interest rate to record low 2.75%", "output": "4 - almost perfectly" }, "3100": { "input": "Sentence 1: Chinese News Agency Slams Delays in Search for Jet Sentence 2: Ten Chinese vessels on standby for jet search", "output": "3 - probably" }, "3101": { "input": "Sentence 1: Classic crossword - Saturday 1st June Sentence 2: Classic crossword - Saturday 20th April", "output": "2 - possibly" }, "3102": { "input": "Sentence 1: N Korea test-fires 30 short-range missiles Sentence 2: N. Korea fires short-range missiles", "output": "3 - probably" }, "3103": { "input": "Sentence 1: Palestinian diplomat dies in Prague blast Sentence 2: Palestinian diplomat killed in explosion in Prague", "output": "5 - perfectly" }, "3104": { "input": "Sentence 1: Novice 'steered South Korea ferry' Sentence 2: South Korea ferry captain arrested", "output": "2 - possibly" }, "3105": { "input": "Sentence 1: Chinese president meets Indian vice president Sentence 2: Chinese president meets U.S. state secretary", "output": "2 - possibly" }, "3106": { "input": "Sentence 1: Death toll in Nairobi attack rises to 59 Sentence 2: Death toll from Egypt violence rises to 638", "output": "2 - possibly" }, "3107": { "input": "Sentence 1: China's Peace Ark departs for the Philippines Thursday Sentence 2: China sends aid team to Philippines", "output": "4 - almost perfectly" }, "3108": { "input": "Sentence 1: Iran dissidents 'killed in Iraq' Sentence 2: France loses influence in Europe", "output": "0 - definitely not" }, "3109": { "input": "Sentence 1: James Gandolfini dies aged 51 Sentence 2: Nelson Mandela dies aged 95", "output": "0 - definitely not" }, "3110": { "input": "Sentence 1: Nearly nine million people in 'severe debt' Sentence 2: Britain's debt timebomb: Nine million are in 'serious debt'", "output": "4 - almost perfectly" }, "3111": { "input": "Sentence 1: Updated - Two explosions near finish line of Boston Marathon Sentence 2: Report of two explosions at finish line of Boston Marathon", "output": "5 - perfectly" }, "3112": { "input": "Sentence 1: Twelve killed in bomb blast on Pakistani train Sentence 2: Five killed by bomb blast in East India", "output": "1 - probably not" }, "3113": { "input": "Sentence 1: The new Cold War Sentence 2: A new Cold War?", "output": "5 - perfectly" }, "3114": { "input": "Sentence 1: Cuba's 'Ladies' to pick up EU prize 8 years late Sentence 2: Cuba's 'Ladies' to Pick Up EU Prize 8 Years Later", "output": "5 - perfectly" }, "3115": { "input": "Sentence 1: Fourteen killed in Brazil bus accident Sentence 2: Two killed in Arizona skydiving accident", "output": "1 - probably not" }, "3116": { "input": "Sentence 1: US: Assad used chemical weapons on Syria rebels Sentence 2: Assad agrees to hand over chemical weapons", "output": "2 - possibly" }, "3117": { "input": "Sentence 1: Death Toll in Bangladesh Collapse at 194 Sentence 2: At least 200 killed in Bangladesh building collapse", "output": "3 - probably" }, "3118": { "input": "Sentence 1: Israeli teens missing in West Bank Sentence 2: Israel finds bodies of three missing teens in West Bank", "output": "3 - probably" }, "3119": { "input": "Sentence 1: President mourns death of Mandela Sentence 2: World mourns passing of Mandela", "output": "3 - probably" }, "3120": { "input": "Sentence 1: Two blasts near Iranian embassy in Beirut, 7 killed Sentence 2: Blast near Iran embassy in Beirut", "output": "3 - probably" }, "3121": { "input": "Sentence 1: Singapore shares open 0.31% higher on Monday Sentence 2: Singapore shares open lower on Monday", "output": "2 - possibly" }, "3122": { "input": "Sentence 1: Suicide bomber kills 23 Iraqi army recruits Sentence 2: Suicide bomber kills 13 Iraqi army recruits in Baghdad", "output": "2 - possibly" }, "3123": { "input": "Sentence 1: Deaf customers sue Starbucks, say they're mocked Sentence 2: Deaf NY Starbucks patrons sue, say they're mocked", "output": "5 - perfectly" }, "3124": { "input": "Sentence 1: Thousands evacuated in Moscow metro fire Sentence 2: Thousands evacuated after fire breaks out in Moscow Metro", "output": "5 - perfectly" }, "3125": { "input": "Sentence 1: 38 killed in rains, flash floods in Pakistan Sentence 2: Three killed in Brazil stadium collapse", "output": "0 - definitely not" }, "3126": { "input": "Sentence 1: 7 killed by Shiite al-Houthi fighters in northern Yemen Sentence 2: At least 5 killed in sectarian conflict in north Yemen", "output": "3 - probably" }, "3127": { "input": "Sentence 1: Iran excluded from Syria peace talks: UN Sentence 2: Many killed in Syrian air strike", "output": "0 - definitely not" }, "3128": { "input": "Sentence 1: Kerry call on Congress to end shutdown Sentence 2: Brazil's Congress approves internet legislation", "output": "0 - definitely not" }, "3129": { "input": "Sentence 1: Canada train plot suspects reject charges Sentence 2: Canadians released in Egypt, not yet heading home", "output": "1 - probably not" }, "3130": { "input": "Sentence 1: East Ukraine Separatists Ask to Join Russia Sentence 2: Crimean Parliament Votes to Join Russia", "output": "3 - probably" }, "3131": { "input": "Sentence 1: Rudd sworn in as new Australian PM Sentence 2: Muslims in hiding as sectarian ...", "output": "0 - definitely not" }, "3132": { "input": "Sentence 1: Moon rocks indicate earth's orb born of collision Sentence 2: Indian minister killed in head-on collision", "output": "0 - definitely not" }, "3133": { "input": "Sentence 1: BlackBerry loses US$965m in Q2 Sentence 2: BlackBerry loses $965M in 2nd quarter", "output": "5 - perfectly" }, "3134": { "input": "Sentence 1: Egypt strongly opposes military action against Syria Sentence 2: Reactions to the prospect of military action against Syria", "output": "2 - possibly" }, "3135": { "input": "Sentence 1: Pro-Russia rebels downed Malaysian plane: Ukraine Sentence 2: Russia Preparing Counterproposals Over Ukraine", "output": "2 - possibly" }, "3136": { "input": "Sentence 1: No argument with Jakarta on boats: Abbott Sentence 2: No agreement at Iran nuclear talks", "output": "0 - definitely not" }, "3137": { "input": "Sentence 1: US believes Syria has probably used chemical weapons Sentence 2: US believes Syrian government used chemical weapons", "output": "5 - perfectly" }, "3138": { "input": "Sentence 1: Egypt's opposition criticizes president's speech Sentence 2: Pakistan's opposition party boycotts presidential elections", "output": "0 - definitely not" }, "3139": { "input": "Sentence 1: Syrian war seen dragging on for years Sentence 2: Syria regime releases hundreds of prisoners", "output": "1 - probably not" }, "3140": { "input": "Sentence 1: Volcano erupts in Indonesia -100,000 evacuated and airports closed Sentence 2: Volcanic eruption closes 3 airports", "output": "3 - probably" }, "3141": { "input": "Sentence 1: 49 killed, 148 wounded in violent attacks in Iraq Sentence 2: 2 killed, 11 wounded in attacks in Iraq", "output": "1 - probably not" }, "3142": { "input": "Sentence 1: Ukraine's Yanukovych says he does not plan to resign Sentence 2: Ukraine opposition demands Yanukovich resign", "output": "1 - probably not" }, "3143": { "input": "Sentence 1: Flash floods kill 58 in eastern Afghanistan Sentence 2: Bomb wounds 16 in eastern Afghanistan", "output": "1 - probably not" }, "3144": { "input": "Sentence 1: Investigators probe motives of LAX airport shooter Sentence 2: Investigators Probe Motives of Los Angeles Airport Shooter", "output": "5 - perfectly" }, "3145": { "input": "Sentence 1: World powers, Iran under Rouhani revive nuclear talks Sentence 2: World powers seek rare progress in Iran nuclear talks", "output": "4 - almost perfectly" }, "3146": { "input": "Sentence 1: Muslim Brotherhood banned in Egypt Sentence 2: Military holds upper hand in Egypt", "output": "1 - probably not" }, "3147": { "input": "Sentence 1: More Deaths Expected in Canada Oil Train Explosion Sentence 2: Five dead in Canada train crash", "output": "3 - probably" }, "3148": { "input": "Sentence 1: Philippines defers comment on Taiwan fisher attack Sentence 2: Bin Laden's continuing sway shown in Kenya mall attack", "output": "0 - definitely not" }, "3149": { "input": "Sentence 1: Crowds, Dignitaries Gather for Mandela Memorial Service Sentence 2: Obama takes 'selfie' at Mandela's funeral service", "output": "2 - possibly" }, "3150": { "input": "Sentence 1: Obama Urges Restraint from Israelis, Palestinians Sentence 2: Obama meets Israeli, Palestinian negotiators", "output": "2 - possibly" }, "3151": { "input": "Sentence 1: Russia releases Greenpeace doctor Sentence 2: Russian court releases Greenpeace ship doctor on bail", "output": "4 - almost perfectly" }, "3152": { "input": "Sentence 1: Russian aircraft wreckage found after a year Sentence 2: Russia evacuates embassy in Libya after attack", "output": "0 - definitely not" }, "3153": { "input": "Sentence 1: 17 killed in US drone attack on Yemen wedding party Sentence 2: U.S. drone mistakenly kills 14 in Yemen wedding convoy", "output": "4 - almost perfectly" }, "3154": { "input": "Sentence 1: China manufacturing index at 11-month low: HSBC Sentence 2: China manufacturing expands in September", "output": "1 - probably not" }, "3155": { "input": "Sentence 1: France to ban child beauty pageants Sentence 2: Facebook to test mobile payments service", "output": "0 - definitely not" }, "3156": { "input": "Sentence 1: Today in History, Dec. 2 Sentence 2: Today in History, April 23", "output": "2 - possibly" }, "3157": { "input": "Sentence 1: Ships Train for Syrian Chemical Weapons Transport Sentence 2: UN Adopts Syrian Chemical Weapons Resolution", "output": "2 - possibly" }, "3158": { "input": "Sentence 1: Death toll rises to 29 in India's Mumbai building collapse Sentence 2: Death toll rises to 12 in Indonesia mine collapse", "output": "1 - probably not" }, "3159": { "input": "Sentence 1: Extremists claim responsibility for Niger attacks Sentence 2: Greek militant group claims responsibility for Golden Dawn killings", "output": "1 - probably not" }, "3160": { "input": "Sentence 1: Pro-Russians forces enter Ukrainian naval base in Crimea Sentence 2: Crimean forces storm Ukrainian navy headquarters", "output": "4 - almost perfectly" }, "3161": { "input": "Sentence 1: Body of missing South Korean shipping tycoon found in field Sentence 2: Sewol ferry disaster: Body of South Korean shipping tycoon found", "output": "4 - almost perfectly" }, "3162": { "input": "Sentence 1: No update on Nelson Mandela's condition Sentence 2: Nelson Mandela's condition improves", "output": "2 - possibly" }, "3163": { "input": "Sentence 1: Ukraine: Nine people die in Kyiv clashes Sentence 2: Ukraine pressured over Kiev clashes", "output": "2 - possibly" }, "3164": { "input": "Sentence 1: US Flying Surveillance Missions to Help Find Kidnapped Nigerian Girls Sentence 2: US surveillance aircraft join hunt for kidnapped Nigerian girls", "output": "4 - almost perfectly" }, "3165": { "input": "Sentence 1: Prince George is christened at St James's Palace Sentence 2: Prince George christened in London", "output": "4 - almost perfectly" }, "3166": { "input": "Sentence 1: Monty Python to reunite for new show Sentence 2: Monty Python to reunite on stage", "output": "4 - almost perfectly" }, "3167": { "input": "Sentence 1: Italian Foreign Minister confers with Ghana VP Sentence 2: Belgian Prime Minister sends condolences to victims", "output": "0 - definitely not" }, "3168": { "input": "Sentence 1: Bradley Manning-WikiLeaks case turns to sentencing Sentence 2: Manning WikiLeaks case turns to sentencing phase", "output": "5 - perfectly" }, "3169": { "input": "Sentence 1: Egypt poll: 98 per cent vote 'yes' for new constitution Sentence 2: Egypt holding key vote on constitution", "output": "2 - possibly" }, "3170": { "input": "Sentence 1: Iran, six global powers sign landmark nuclear deal Sentence 2: Iran, world powers agree nuclear deal", "output": "5 - perfectly" }, "3171": { "input": "Sentence 1: Israeli forces arrest 6 Palestinians in overnight West Bank raids Sentence 2: Israel classifies Jerusalem natives as noncitizens", "output": "1 - probably not" }, "3172": { "input": "Sentence 1: Hague 'concerns over conduct' of Zimbabwe election Sentence 2: Zimbabwe: 'Grave Concerns' Over Election", "output": "3 - probably" }, "3173": { "input": "Sentence 1: Hong Kong stocks end higher Sentence 2: Indian stocks open higher", "output": "1 - probably not" }, "3174": { "input": "Sentence 1: Dignitaries pay tribute to Paul Desmarais Sentence 2: Stars pay tribute to James Garner", "output": "0 - definitely not" }, "3175": { "input": "Sentence 1: Southwest grounds flights due to computer glitch Sentence 2: Southwest flights delayed, canceled after computer glitch", "output": "4 - almost perfectly" }, "3176": { "input": "Sentence 1: Vatican Embassy in Syria hit by mortar fire Sentence 2: Vatican embassy in Syria hit by mortar; no injuries", "output": "4 - almost perfectly" }, "3177": { "input": "Sentence 1: North Korea blocks access to joint industrial zone Sentence 2: North Korea Blocks Access to Key Industrial Zone", "output": "4 - almost perfectly" }, "3178": { "input": "Sentence 1: Islamic militants kill 9 foreign tourists, 1 Pakistani Sentence 2: Gunmen Kill 11 Foreign Tourists in Pakistan", "output": "3 - probably" }, "3179": { "input": "Sentence 1: 'Western' forces attack Islamic militant base in Somalia Sentence 2: Western powers scramble to befriend Modi", "output": "1 - probably not" }, "3180": { "input": "Sentence 1: Hong Kong set for huge democracy rally on handover anniversary Sentence 2: Hong Kong set for huge democracy rally", "output": "4 - almost perfectly" }, "3181": { "input": "Sentence 1: Suicide bomber kills 20 in Iraq Sentence 2: Suicide bomber attacks primary school in Iraq, kills 15", "output": "3 - probably" }, "3182": { "input": "Sentence 1: Five children buried alive in Bohol landslide Sentence 2: Nine children die in attack in Afghanistan attack", "output": "0 - definitely not" }, "3183": { "input": "Sentence 1: 6 Killed by Hot Lava as Indonesia Volcano Erupts Sentence 2: Five dead in Indonesian eruption", "output": "3 - probably" }, "3184": { "input": "Sentence 1: At least 11 killed in India building collapse Sentence 2: At Least 66 Killed in Bomb Blasts in Iraq", "output": "1 - probably not" }, "3185": { "input": "Sentence 1: Egypt's presidential election begins Sentence 2: Egypt issues long-waited presidential election law", "output": "3 - probably" }, "3186": { "input": "Sentence 1: Italian parliament backs new PM Sentence 2: Train Derailment Kills 4 in New York", "output": "0 - definitely not" }, "3187": { "input": "Sentence 1: Russian lawmakers pass new bill restricting Internet Sentence 2: Russia says ballistic 'objects' fired in Mediterranean", "output": "0 - definitely not" }, "3188": { "input": "Sentence 1: Super Typhoon Haiyan, Strongest of Season, Slams the Philippines Sentence 2: Super typhoon Haiyan closes in on the Philippines", "output": "3 - probably" }, "3189": { "input": "Sentence 1: Nato condemns Ukraine crackdown Sentence 2: Thai bonds best in region", "output": "0 - definitely not" }, "3190": { "input": "Sentence 1: China to investigate EU wine exports Sentence 2: Christie investigation heats up", "output": "1 - probably not" }, "3191": { "input": "Sentence 1: Boston bomb suspect charged; religious motive seen Sentence 2: Boston bombing suspect charged in hospital bed", "output": "3 - probably" }, "3192": { "input": "Sentence 1: Asian markets mixed on China trade data Sentence 2: Asian markets slump on central bank stimulus fears", "output": "1 - probably not" }, "3193": { "input": "Sentence 1: World's oldest person dies in Japan at 116 Sentence 2: Jiroemon Kimura: World's oldest person dies aged 116", "output": "5 - perfectly" }, "3194": { "input": "Sentence 1: Foreign exchange rates in India Sentence 2: Foreign exchange rates in Singapore", "output": "1 - probably not" }, "3195": { "input": "Sentence 1: Colorado wildfire destroys more than 90 homes as winds worsen Sentence 2: Colorado wildfire may be biggest property destroyer in state history", "output": "4 - almost perfectly" }, "3196": { "input": "Sentence 1: Earthquake of 6.3 magnitude strikes off Indonesia island Sentence 2: Earthquake of 6 magnitude strikes Thailand", "output": "2 - possibly" }, "3197": { "input": "Sentence 1: US, Afghan govt to hold peace talks with Taliban Sentence 2: Pakistan holds direct talks with Taliban", "output": "2 - possibly" }, "3198": { "input": "Sentence 1: Iran's nuclear negotiating team leaves for Kazakhstan Sentence 2: Iran's nuclear quest 'has cost Tehran over $100 billion'", "output": "1 - probably not" }, "3199": { "input": "Sentence 1: U.S factory orders down 0.7 pct in January Sentence 2: German factory orders rebound in January", "output": "1 - probably not" }, "3200": { "input": "Sentence 1: Gunmen Surround Libya's Foreign Ministry To Push Demands Sentence 2: Gunmen surround Libyan foreign ministry to push demands", "output": "5 - perfectly" }, "3201": { "input": "Sentence 1: Typhoon death toll rises to 3633 Sentence 2: Egyptian death toll rises to 638", "output": "1 - probably not" }, "3202": { "input": "Sentence 1: Uganda's president signs anti-gay bill Sentence 2: Uganda's president signs harsh anti-gay law", "output": "4 - almost perfectly" }, "3203": { "input": "Sentence 1: Russian parliament allows Putin to use military in Ukraine Sentence 2: Russia has no intention to incorporate southeastern Ukraine: FM", "output": "2 - possibly" }, "3204": { "input": "Sentence 1: Bradley Manning acquitted of aiding the enemy Sentence 2: Wikileaks soldier Bradley Manning acquitted of aiding the enemy", "output": "4 - almost perfectly" }, "3205": { "input": "Sentence 1: G7 'to intensify Russia sanctions' Sentence 2: Ukraine Fears Russian Invasion", "output": "1 - probably not" }, "3206": { "input": "Sentence 1: Rock bands' plane makes emergency landing in Ill. Sentence 2: Rock Bands' Plane Makes Emergency Landing in Ill.", "output": "5 - perfectly" }, "3207": { "input": "Sentence 1: Russian Prime Minister On Second Day Of Crimea Visit Sentence 2: Russia warns against setting preconditions for Syria", "output": "1 - probably not" }, "3208": { "input": "Sentence 1: Judge OKs force-feeding California inmates Sentence 2: U.S. judge approves force-feeding Californian inmates on hunger strik", "output": "5 - perfectly" }, "3209": { "input": "Sentence 1: Gang violence kills 16 in Venezuelan prison Sentence 2: Sixteen killed in Venezuela prison", "output": "4 - almost perfectly" }, "3210": { "input": "Sentence 1: US Military Deaths in Afghanistan at 2,153 Sentence 2: U.S. Military Deaths in Afghanistan", "output": "3 - probably" }, "3211": { "input": "Sentence 1: Israel, Palestinians seek another meeting Monday: U.S. official Sentence 2: Palestinians: We Don't Want Kerry Mission to Fail", "output": "1 - probably not" }, "3212": { "input": "Sentence 1: Tropical Storm Karen targets US Gulf Coast Sentence 2: Tropical Storm Karen poised to make landfall", "output": "4 - almost perfectly" }, "3213": { "input": "Sentence 1: Bangladesh Islamists rally against atheist bloggers Sentence 2: Bangladeshi Islamists rally to demand action against atheist bloggers", "output": "5 - perfectly" }, "3214": { "input": "Sentence 1: Crash of Malaysia Airlines Flight MH17 in Eastern Ukraine Sentence 2: Malaysia Airlines plane crashes on Ukraine-Russia border", "output": "4 - almost perfectly" }, "3215": { "input": "Sentence 1: Suicide bomber kills 13 at restaurant in central Somalia Sentence 2: Suicide bomber kills at least 4 in Kabul", "output": "2 - possibly" }, "3216": { "input": "Sentence 1: Anthony Weiner slips to fourth place in new poll Sentence 2: Weiner falls to fourth in new NYC mayoral poll", "output": "5 - perfectly" }, "3217": { "input": "Sentence 1: India accuses China of crossing de facto border Sentence 2: Senate, House on collision course on border money", "output": "1 - probably not" }, "3218": { "input": "Sentence 1: US top diplomat Kerry's wife rushed to hospital Sentence 2: US Secretary of State John Kerry‚Äôs wife rushed to hospital", "output": "5 - perfectly" }, "3219": { "input": "Sentence 1: Kerry pursuing 'quiet strategy' in Mideast peace process Sentence 2: Kerry meets Israeli leaders to push Mideast peace", "output": "4 - almost perfectly" }, "3220": { "input": "Sentence 1: North Korea says to restart nuclear reactor Sentence 2: North Korea Offers Talks: Complex May Re-Open", "output": "4 - almost perfectly" }, "3221": { "input": "Sentence 1: Egyptian court considers Mubarak‚Äôs release Sentence 2: Egypt court orders Mubarak release", "output": "4 - almost perfectly" }, "3222": { "input": "Sentence 1: More rain hampers Indian flood rescue Sentence 2: US tourist gang-raped in northern India: Police", "output": "0 - definitely not" }, "3223": { "input": "Sentence 1: A look at major terror attacks in East Africa Sentence 2: UN Security Council slams deadly terrorist attack in Kenyan capital", "output": "2 - possibly" }, "3224": { "input": "Sentence 1: Russia responds to Ukraine ceasefire Sentence 2: Cyprus probes Ukraine assets", "output": "1 - probably not" }, "3225": { "input": "Sentence 1: Kim Jong-un Executed His 'Worse Than a Dog' Uncle Sentence 2: NKorea executes Kim Jong Un' uncle", "output": "4 - almost perfectly" }, "3226": { "input": "Sentence 1: Colourful support at World Cup in Brazil Sentence 2: Merkel to attend World Cup final", "output": "1 - probably not" }, "3227": { "input": "Sentence 1: Mandela remains in hospital Sentence 2: Mandela remains in 'intensive care'", "output": "4 - almost perfectly" }, "3228": { "input": "Sentence 1: South Korea Ferry Crew Members Stand Trial Sentence 2: Sewol ferry crew faces trial", "output": "4 - almost perfectly" }, "3229": { "input": "Sentence 1: Egypt votes on new constitution Sentence 2: Egyptians Voting on New Constitution", "output": "5 - perfectly" }, "3230": { "input": "Sentence 1: US drone strike kills six in Pakistan officials Sentence 2: U.S. drone kills 4 militants in Pakistan", "output": "3 - probably" }, "3231": { "input": "Sentence 1: Vietnam detects signals from missing plane Sentence 2: China expands search area for missing plane", "output": "2 - possibly" }, "3232": { "input": "Sentence 1: Cricket-England v Australia fourth test scoreboard Sentence 2: Cricket-England 155-4 v Australia, fourth test - tea", "output": "4 - almost perfectly" }, "3233": { "input": "Sentence 1: Birthday of DPRK to Be Celebrated in Peru Sentence 2: Curiosity Rover Celebrates 1 Year on Mars", "output": "0 - definitely not" }, "3234": { "input": "Sentence 1: Powerful 7.6 quake strikes off Solomons Sentence 2: Powerful 6.9 quake strikes off California coast", "output": "2 - possibly" }, "3235": { "input": "Sentence 1: India Ink: Image of the Day: May 21 Sentence 2: India Ink: Image of the Day: January 16", "output": "2 - possibly" }, "3236": { "input": "Sentence 1: Australia leader ousted in snap leadership vote Sentence 2: Australian PM Gillard ousted in leadership vote", "output": "4 - almost perfectly" }, "3237": { "input": "Sentence 1: Obama condemns Egypt violence, cancels military exercises Sentence 2: Pakistan condemns violence in Egypt", "output": "1 - probably not" }, "3238": { "input": "Sentence 1: Argentina declares mourning for flood victims Sentence 2: Parents demands common forms for nursery admissions", "output": "0 - definitely not" }, "3239": { "input": "Sentence 1: What the Papers Say, May 20, 2013 Sentence 2: What the Papers Say, Nov. 19, 2013", "output": "2 - possibly" }, "3240": { "input": "Sentence 1: Google releases Nexus 5 phone with Kit Kat Sentence 2: Google redesigns search results on PCs", "output": "1 - probably not" }, "3241": { "input": "Sentence 1: Bombing Aimed at Hezbollah Hits Southern Beirut Sentence 2: Explosion Hits Hezbollah Area South of Beirut", "output": "4 - almost perfectly" }, "3242": { "input": "Sentence 1: U.S., allies to add sanctions against Russia over Ukraine Sentence 2: EU Slaps New Sanctions on Russia Over Ukraine", "output": "3 - probably" }, "3243": { "input": "Sentence 1: Factories that ran on Korean cooperation go silent Sentence 2: North and South Korea break their silence with talks", "output": "1 - probably not" }, "3244": { "input": "Sentence 1: Chinese premier meets Indian vice president Sentence 2: Hezbollah urges to elect new Lebanese president", "output": "0 - definitely not" }, "3245": { "input": "Sentence 1: Algerian president in France for medical tests Sentence 2: Algerian president in France for medical tests after minor stroke", "output": "4 - almost perfectly" }, "3246": { "input": "Sentence 1: Manchester City wins second Premier League title in three years Sentence 2: Manchester City win English Premier League title", "output": "4 - almost perfectly" }, "3247": { "input": "Sentence 1: Bodies of MH17 crash victims flown to Netherlands Sentence 2: MH17 dead flown back to Netherlands", "output": "5 - perfectly" }, "3248": { "input": "Sentence 1: Egypt policeman killed in Sinai attack Sentence 2: Egyptian soldiers killed in Sinai attack", "output": "3 - probably" }, "3249": { "input": "Sentence 1: Extension likely for Iran nuclear talks Sentence 2: Oil slips below $108 ahead of Iran nuclear talks", "output": "1 - probably not" }, "3250": { "input": "Sentence 1: Fire kills 38 in Russian psychiatric institution Sentence 2: 38 feared dead in Russian psychiatric hospital fire", "output": "4 - almost perfectly" }, "3251": { "input": "Sentence 1: Russia Warns It May Not Sign Landmark UN Arms Treaty Sentence 2: UN closes in on landmark arms treaty", "output": "2 - possibly" }, "3252": { "input": "Sentence 1: Didier Reynders on Syria Sentence 2: Obama's day: Prime time on Syria", "output": "2 - possibly" }, "3253": { "input": "Sentence 1: China stocks open higher Monday Sentence 2: China stocks close lower on Thursday", "output": "1 - probably not" }, "3254": { "input": "Sentence 1: Sony Xperia Z2 and Nokia‚Äôs X series unveiled Sentence 2: Court orders political ban on Italy‚Äôs Berlusconi", "output": "0 - definitely not" }, "3255": { "input": "Sentence 1: Mandela back in hospital in ‚Äėserious but stable‚Äô condition Sentence 2: Nelson Mandela returns to hospital in ‚Äėserious but stable‚Äô condition", "output": "5 - perfectly" }, "3256": { "input": "Sentence 1: East Harlem explosion death toll rises Sentence 2: Mexico storm death toll continues to rise", "output": "0 - definitely not" }, "3257": { "input": "Sentence 1: Ukrainian Prime Minister resigns amid protests Sentence 2: British Prime Minister condemns murder of teens", "output": "0 - definitely not" }, "3258": { "input": "Sentence 1: Royal Hoax DJ Takes Action Against Station Sentence 2: Taliban bombs US base in Afghanistan", "output": "0 - definitely not" }, "3259": { "input": "Sentence 1: Arsenal v Stoke City ‚Äď live! Sentence 2: Tottenham v Manchester City ‚Äď live!", "output": "2 - possibly" }, "3260": { "input": "Sentence 1: Business news and markets: as it happened, April 17, 2013 Sentence 2: Business news and markets: as it happened, June 20, 2013", "output": "2 - possibly" }, "3261": { "input": "Sentence 1: Iran, world powers begin new round of nuclear talks Sentence 2: Iran, world powers pledge new nuclear talks", "output": "4 - almost perfectly" }, "3262": { "input": "Sentence 1: Tropical Storm Karen targets US Gulf Coast Sentence 2: Tropical Storm Karen weakens as it nears U.S. Gulf Coast", "output": "3 - probably" }, "3263": { "input": "Sentence 1: Workers killed in India building collapse Sentence 2: 76 killed in Bangladesh building collapse", "output": "3 - probably" }, "3264": { "input": "Sentence 1: North Korea fires three short-range missiles Sentence 2: N. Korea fires short-range missiles", "output": "4 - almost perfectly" }, "3265": { "input": "Sentence 1: Car Bomb Kills 37 in Northwest Pakistan Sentence 2: Bomb kills three in northwest Pakistan", "output": "3 - probably" }, "3266": { "input": "Sentence 1: Malaysia Airlines loses contact with plane carrying 239 to Beijing Sentence 2: Malaysia Airlines plane vanishes on flight to Beijing", "output": "4 - almost perfectly" }, "3267": { "input": "Sentence 1: Microsoft says to cut up to 18,000 jobs Sentence 2: Microsoft to cut 18,000 jobs in overhaul", "output": "5 - perfectly" }, "3268": { "input": "Sentence 1: Fire destroys ancient Tibetan town in China Sentence 2: Fire destroys Tibetan town in China", "output": "4 - almost perfectly" }, "3269": { "input": "Sentence 1: Yahoo agrees to buy Tumblr for $1.1 billion cash Sentence 2: Yahoo to Buy Tumblr for $1.1 Billion", "output": "5 - perfectly" }, "3270": { "input": "Sentence 1: India starts voting in world's largest election Sentence 2: India voters kick off world‚Äôs biggest election", "output": "5 - perfectly" }, "3271": { "input": "Sentence 1: Car bomb in northern Syria kills at least 12 Sentence 2: Syrian airstrikes kill at least 18 in Aleppo", "output": "2 - possibly" }, "3272": { "input": "Sentence 1: Philippine quake death toll climbs to 73 Sentence 2: Death toll in Philippines quake jumps to 85", "output": "3 - probably" }, "3273": { "input": "Sentence 1: Search ends for missing asylum-seekers Sentence 2: Search narrowed for missing man", "output": "1 - probably not" }, "3274": { "input": "Sentence 1: Ukrainian President orders 7-day ceasefire in the east Sentence 2: Uganda's President Museveni agrees to sign anti-gays Bill", "output": "0 - definitely not" }, "3275": { "input": "Sentence 1: ICC Champions Trophy: India vs South Africa Sentence 2: Champions Trophy: India v South AfricaLive", "output": "4 - almost perfectly" }, "3276": { "input": "Sentence 1: Supreme Court takes on affirmative action in Michigan ban case Sentence 2: Supreme Court to hear Michigan affirmative action case", "output": "4 - almost perfectly" }, "3277": { "input": "Sentence 1: Headlines in major Iranian newspapers on Sept 30 Sentence 2: Headlines in major Iranian newspapers on Nov 21", "output": "3 - probably" }, "3278": { "input": "Sentence 1: Cyclone leaves trail of destruction in India Sentence 2: Cyclone Phailin evacuation kept Indian villagers alive", "output": "2 - possibly" }, "3279": { "input": "Sentence 1: Taliban kill 15 police in west Afghanistan Sentence 2: US drone kills two in eastern Afghanistan", "output": "1 - probably not" }, "3280": { "input": "Sentence 1: Thousands rally to support embattled Tunisia government Sentence 2: Thousands gather to support Islamist government in Tunisia", "output": "5 - perfectly" }, "3281": { "input": "Sentence 1: South Africa's Mandela taken to hospital Sentence 2: Nelson Mandela taken to hospital", "output": "5 - perfectly" }, "3282": { "input": "Sentence 1: Updated - Two explosions near finish line of Boston Marathon Sentence 2: Two explosions at Boston Marathon finish line", "output": "5 - perfectly" }, "3283": { "input": "Sentence 1: At least two killed in southern Egypt clash Sentence 2: At least 18 killed in North Caucasus train station blast", "output": "0 - definitely not" }, "3284": { "input": "Sentence 1: Winter Storm Ion: State-By-State... Sentence 2: Winter Storm Janus: State-by-State...", "output": "3 - probably" }, "3285": { "input": "Sentence 1: Corpses Of 53 Men Found South Of Baghdad Sentence 2: Iraqi officials: 50 bodies found south of Baghdad", "output": "4 - almost perfectly" }, "3286": { "input": "Sentence 1: Bomb attacks kill 20 in Baghdad's Christian areas Sentence 2: Bombs Kill 35 in Baghdad Christian Area", "output": "3 - probably" }, "3287": { "input": "Sentence 1: China sets Bo Xilai trial date Sentence 2: China Bo Xilai trial in fourth day", "output": "3 - probably" }, "3288": { "input": "Sentence 1: Muslims prepare for start of Ramadan Sentence 2: Muslims pray for end to divisions", "output": "1 - probably not" }, "3289": { "input": "Sentence 1: Japan scrambles jets against Russian military planes Sentence 2: Separatists down Ukraine military plane, several dead", "output": "1 - probably not" }, "3290": { "input": "Sentence 1: Thousands of Britons claim dole in Germany Sentence 2: Thousands of white-clad Amsterdammers march for MH17", "output": "1 - probably not" }, "3291": { "input": "Sentence 1: Suspected U.S. drone strike kills 5 in Pakistan Sentence 2: Suspected US drone targets Islamic seminary in Pakistan", "output": "2 - possibly" }, "3292": { "input": "Sentence 1: Obama to sign up for Obamacare Sentence 2: Obama visits tornado hit Oklahoma", "output": "0 - definitely not" }, "3293": { "input": "Sentence 1: General Electric posts 9% profit drop for third quarter Sentence 2: GE posts 9% profit drop for third quarter", "output": "5 - perfectly" }, "3294": { "input": "Sentence 1: China yuan weakens to 6.1535 against USD Sentence 2: China yuan strengthens to new high against USD", "output": "2 - possibly" }, "3295": { "input": "Sentence 1: Russia finds dead lawyer Magnitsky guilty in posthumous trial Sentence 2: Russia convicts dead lawyer Magnitsky in posthumous trial", "output": "5 - perfectly" }, "3296": { "input": "Sentence 1: 'Trayvon could have been me' Sentence 2: Trayvon Martin could have been ...", "output": "3 - probably" }, "3297": { "input": "Sentence 1: China sends largest fleet yet to disputed islands Sentence 2: China ships enter waters off disputed islands", "output": "3 - probably" }, "3298": { "input": "Sentence 1: Police: Explosion in Belfast Cathedral Quarter Sentence 2: Explosion in Kabul a suicide attack in diplomatic area", "output": "2 - possibly" }, "3299": { "input": "Sentence 1: Prime Minister to seek nuclear deal, investments during Japan visit Sentence 2: Manmohan hopes to clinch nuclear deal with Japan", "output": "3 - probably" }, "3300": { "input": "Sentence 1: US postpones missile test over N Korea tensions Sentence 2: Embassies staying put in N. Korea despite tension", "output": "1 - probably not" }, "3301": { "input": "Sentence 1: Obama to meet privately with family of Nelson Mandela Sentence 2: Obama to meet with Mandela family", "output": "5 - perfectly" }, "3302": { "input": "Sentence 1: At least six dead in US shooting rampage Sentence 2: At least 20 dead in Somalia attacks", "output": "0 - definitely not" }, "3303": { "input": "Sentence 1: Gunmen kill 10 in Philippine political violence Sentence 2: Five killed in Philippines volcano eruption", "output": "1 - probably not" }, "3304": { "input": "Sentence 1: Israel downs drone from Lebanon Sentence 2: Israel shoots down drone from Lebanon", "output": "5 - perfectly" }, "3305": { "input": "Sentence 1: Deadly clashes as Egypt marks anniversary Sentence 2: Violent clashes mark anniversary of Egypt uprising", "output": "5 - perfectly" }, "3306": { "input": "Sentence 1: NATO: 5 Americans killed in southern Afghanistan Sentence 2: Roadside bomb kills 3 policemen in southern Afghanistan", "output": "2 - possibly" }, "3307": { "input": "Sentence 1: Conmen dressed as women steal cash Sentence 2: CCTV: York conmen dress as women to trick pensioners", "output": "4 - almost perfectly" }, "3308": { "input": "Sentence 1: Cleveland Kidnapper Ariel Castro Found Hanged in Prison Cell Sentence 2: Cleveland kidnapper Ariel Castro found hanging in his cell", "output": "5 - perfectly" }, "3309": { "input": "Sentence 1: Google Unveils Prototype Self-Driving Car Sentence 2: Google Unveils Concept Self-Driving Car", "output": "5 - perfectly" }, "3310": { "input": "Sentence 1: Bangladesh garment factory fire 'kills 8' Sentence 2: Bangladesh garment factory collapse kills 149", "output": "2 - possibly" }, "3311": { "input": "Sentence 1: US seeks to reassure wary Gulf allies over Iran deal Sentence 2: Hagel seeks to reassure jittery Gulf allies after Iran deal", "output": "4 - almost perfectly" }, "3312": { "input": "Sentence 1: Ukraine hosts ‚Äėunity talks‚Äô Sentence 2: Pope hits out at ‚Äėwar to sell arms‚Äô in Syria", "output": "0 - definitely not" }, "3313": { "input": "Sentence 1: Pakistan's Musharraf Under Arrest in Bhutto Assassination Sentence 2: Pakistan's Musharraf arrives at court for first time", "output": "2 - possibly" }, "3314": { "input": "Sentence 1: Trial Date Set for Egypt's Muslim Brotherhood Chief Sentence 2: Syria's Muslim Brotherhood faces uphill battle", "output": "2 - possibly" }, "3315": { "input": "Sentence 1: Red panda‚Äôs short-lived zoo escape Sentence 2: India‚Äôs march to Mars", "output": "0 - definitely not" }, "3316": { "input": "Sentence 1: Israeli doctors could be tried abroad for force-feeding Palestinian prisoners Sentence 2: Israel's West Bank control 'costing Palestinian economy billions'", "output": "0 - definitely not" }, "3317": { "input": "Sentence 1: Washington Pot Shops Prepare for Historic Sales Sentence 2: Washington pot shops prepare for historic sales", "output": "5 - perfectly" }, "3318": { "input": "Sentence 1: Son of top Muslim Brotherhood leader killed Sentence 2: Egypt arrests Muslim Brotherhood leader Badie", "output": "1 - probably not" }, "3319": { "input": "Sentence 1: Iran, six global powers sign landmark nuclear deal Sentence 2: Iran, six world powers clinch breakthrough nuclear deal", "output": "5 - perfectly" }, "3320": { "input": "Sentence 1: Hot-Air Balloon Catches Fire in Virginia Sentence 2: Hot Air Balloon 'Catches Fire And Crashes'", "output": "3 - probably" }, "3321": { "input": "Sentence 1: Quotes from leaders, family at Mandela memorial Sentence 2: World unites for Mandela memorial", "output": "2 - possibly" }, "3322": { "input": "Sentence 1: Mumbai Indians puts T&T in its place Sentence 2: Indonesians vote for president in tight race", "output": "0 - definitely not" }, "3323": { "input": "Sentence 1: KL shares remain higher mid-afternoon Sentence 2: KL shares continue uptrend mid-afternoon", "output": "4 - almost perfectly" }, "3324": { "input": "Sentence 1: What the Papers Say, Nov. 20, 2013 Sentence 2: What the Papers Say, Oct. 10, 2013", "output": "3 - probably" }, "3325": { "input": "Sentence 1: Amazon launches new device for streaming video Sentence 2: Amazon unveils new Fire TV streaming video box", "output": "4 - almost perfectly" }, "3326": { "input": "Sentence 1: Palestinian President Receives Jordanian Foreign Minister Sentence 2: Palestinian arrested for sexually harassing young girls", "output": "0 - definitely not" }, "3327": { "input": "Sentence 1: Obama nominates new transportation secretary Sentence 2: Obama To Meet Embattled Veterans Secretary", "output": "0 - definitely not" }, "3328": { "input": "Sentence 1: China yuan weakens to 6.1059 against USD Sentence 2: China yuan strengthens to 6.1070 against USD Friday", "output": "2 - possibly" }, "3329": { "input": "Sentence 1: French raid wine cellar for austerity auction Sentence 2: US praises Ukraine deal; calls for concrete action", "output": "0 - definitely not" }, "3330": { "input": "Sentence 1: US, Russia agree on seizure of Syria chemical weapons Sentence 2: Syrian rebels skeptical of chemical weapons deal", "output": "1 - probably not" }, "3331": { "input": "Sentence 1: S Korea MPs to visit Kaesong complex Sentence 2: S. Korea demands talks with N. Korea on closed factory", "output": "1 - probably not" }, "3332": { "input": "Sentence 1: Algerian priest to lecture about Christian heritage in N. Africa Sentence 2: Telstra applies to list China site in NY", "output": "0 - definitely not" }, "3333": { "input": "Sentence 1: Headlines in major Iranian newspapers on April 5 Sentence 2: Headlines in major Iranian newspapers on August 18", "output": "3 - probably" }, "3334": { "input": "Sentence 1: Implications of Palestinian reconciliation Sentence 2: Belgian king to address nation amid abdication speculation", "output": "1 - probably not" }, "3335": { "input": "Sentence 1: Hijacker arrested after plane lands at Geneva Airport Sentence 2: Hijacked aircraft lands in Geneva", "output": "3 - probably" }, "3336": { "input": "Sentence 1: PCB appoints Waqar Younis as head coach Sentence 2: Waqar Younis back as Pakistan coach", "output": "5 - perfectly" }, "3337": { "input": "Sentence 1: US makes case for action against Syria Sentence 2: Saudi Urges U.N. Action against Israel Strikes on Syria", "output": "2 - possibly" }, "3338": { "input": "Sentence 1: Ankara protesters clash with police Sentence 2: Peru protesters clash with police", "output": "2 - possibly" }, "3339": { "input": "Sentence 1: 49 killed, 148 wounded in violent attacks in Iraq Sentence 2: 15 killed, 90 wounded in fresh attacks in Iraq", "output": "2 - possibly" }, "3340": { "input": "Sentence 1: Puerto Rican arrested for production of child pornography Sentence 2: Indian guru arrested on suspicion of rape", "output": "0 - definitely not" }, "3341": { "input": "Sentence 1: Ukraine signs EU trade pact as Russia finalizes Crimea annexation Sentence 2: Ukraine's top court dismisses Crimea's independence as \"unconstitutional\"", "output": "2 - possibly" }, "3342": { "input": "Sentence 1: Assad warns Turkey of 'heavy price' for backing Syrian rebels Sentence 2: Cabinet at war over arming Syrian rebels", "output": "1 - probably not" }, "3343": { "input": "Sentence 1: Indian stocks close lower Sentence 2: Hong Kong stocks close 2.33% higher", "output": "2 - possibly" }, "3344": { "input": "Sentence 1: 19 killed, 42 wounded in violent attacks in Iraq Sentence 2: 43 killed, 86 wounded in attacks in Iraq", "output": "3 - probably" }, "3345": { "input": "Sentence 1: Indian rape accused face verdicts Sentence 2: Indian rape accused found guilty", "output": "4 - almost perfectly" }, "3346": { "input": "Sentence 1: Iran nuclear deal agreed at talks Sentence 2: Iran Nuclear Deal Sealed After Decades-Long Dispute", "output": "4 - almost perfectly" }, "3347": { "input": "Sentence 1: Egyptian military spokesman denounces incitement against army Sentence 2: Labor ministry announcement due on Monday", "output": "0 - definitely not" }, "3348": { "input": "Sentence 1: Snowden sees 'no chance' for US fair trial Sentence 2: Snowden sees \"no chance\" to get fair trial in U.S.", "output": "5 - perfectly" }, "3349": { "input": "Sentence 1: Headlines in major Iranian newspapers on Dec 30 Sentence 2: Headlines in major Iranian newspapers on July 6", "output": "2 - possibly" }, "3350": { "input": "Sentence 1: Dozens injured in Connecticut train collision Sentence 2: Indian minister killed in head-on collision", "output": "0 - definitely not" }, "3351": { "input": "Sentence 1: Queen visits Britain's new prince Sentence 2: Queen meets Britain's new baby prince", "output": "5 - perfectly" }, "3352": { "input": "Sentence 1: Ukraine: Three Killed In Parliament Protests Sentence 2: Ukraine President Calls Talks To End Protests", "output": "1 - probably not" }, "3353": { "input": "Sentence 1: Ride operator charged in N.C. fair accident Sentence 2: N.C. State Fair ride operator arrested after accident", "output": "4 - almost perfectly" }, "3354": { "input": "Sentence 1: Transcript reveals confusion over evacuation of South Korean ferry Sentence 2: Transcript Reveals Confusion Over Ferry Evacuation", "output": "4 - almost perfectly" }, "3355": { "input": "Sentence 1: Fallen US firefighters brought home Sentence 2: Wall Street ends slightly lower", "output": "0 - definitely not" }, "3356": { "input": "Sentence 1: Syria Regime Agrees to Attend Peace Conference Sentence 2: Russia: Syria Agrees to Participate in Conference", "output": "5 - perfectly" }, "3357": { "input": "Sentence 1: UK vote rejects military action Sentence 2: Britain rejects Syria military action", "output": "3 - probably" }, "3358": { "input": "Sentence 1: New Zealand set to legalise gay marriage Sentence 2: New Zealand votes to legalise same-sex marriage", "output": "4 - almost perfectly" }, "3359": { "input": "Sentence 1: Singapore stocks end up 0.37 pct Sentence 2: Singapore stocks close 0.41 pct higher", "output": "3 - probably" }, "3360": { "input": "Sentence 1: Venezuelan president to visit China Sentence 2: Senegalese president to visit China", "output": "2 - possibly" }, "3361": { "input": "Sentence 1: Cairo protesters defy crackdown threat Sentence 2: In Cairo Camps, Protesters Dig in and Live On", "output": "4 - almost perfectly" }, "3362": { "input": "Sentence 1: Missing plane search turns to Vietnamese islands Sentence 2: Missing Malaysia Airlines plane 'crashes off Vietnam'", "output": "3 - probably" }, "3363": { "input": "Sentence 1: Stars pay tribute to Cory Monteith Sentence 2: Stars pay tribute to James Garner", "output": "2 - possibly" }, "3364": { "input": "Sentence 1: Los Angeles airport worker charged with making 9/11 threats Sentence 2: Los Angeles airport worker charged over 9/11 threats", "output": "5 - perfectly" }, "3365": { "input": "Sentence 1: The Note's Must-Reads for Friday May 24, 2013 Sentence 2: The Note's Must-Reads for Friday, August 23, 2013", "output": "2 - possibly" }, "3366": { "input": "Sentence 1: Cristiano Ronaldo hat-trick fires Portugal to 2014 World Cup finals Sentence 2: Ronaldo hat-trick fires Portugal to World Cup", "output": "5 - perfectly" }, "3367": { "input": "Sentence 1: Britain's Prince Philip set for 'exploratory' surgery Sentence 2: UK's Prince Philip hospitalized", "output": "3 - probably" }, "3368": { "input": "Sentence 1: Three bomb attacks kill six soldiers, one civilian Sentence 2: School bomb attack kills two in southern Thailand", "output": "1 - probably not" }, "3369": { "input": "Sentence 1: Italian pilgrims die in bus plunge Sentence 2: Passengers dead in Italy bus plunge", "output": "4 - almost perfectly" }, "3370": { "input": "Sentence 1: Strong new quake hits shattered Pak region Sentence 2: Powerful new earthquake hits shattered Pakistan region", "output": "5 - perfectly" }, "3371": { "input": "Sentence 1: At least 20 dead in Somalia attacks Sentence 2: At least 60 die in Iraq prison attack", "output": "2 - possibly" }, "3372": { "input": "Sentence 1: Westgate mall attackers spent four months planning in Nairobi Sentence 2: Westgate attackers spent four months planning in Nairobi, says official", "output": "5 - perfectly" }, "3373": { "input": "Sentence 1: U.N. Security Council calls for humanitarian ceasefire in Gaza Sentence 2: U.N. Security Council Calls for Unconditional Cease-Fire in Gaza", "output": "5 - perfectly" }, "3374": { "input": "Sentence 1: 6.3-magnitude quake hits Honshu, Japan: CENC Sentence 2: 6.7-magnitude earthquake jolts Taiwan: CENC", "output": "2 - possibly" }, "3375": { "input": "Sentence 1: Chinese shares close higher Tuesday Sentence 2: Chinese shares close lower on Wednesday", "output": "2 - possibly" }, "3376": { "input": "Sentence 1: Car Bombs Kill 58 in Iraqi Capital Sentence 2: Car bombings kill 13 civilians in Iraqi capital", "output": "2 - possibly" }, "3377": { "input": "Sentence 1: Ukrainian protesters back in streets for anti-government rally Sentence 2: Ukraine protesters topple Lenin statue in Kiev", "output": "3 - probably" }, "3378": { "input": "Sentence 1: Canadian freight train blast death toll hits three, to rise Sentence 2: Canadian government 'monitoring' train blast situation", "output": "2 - possibly" }, "3379": { "input": "Sentence 1: Israel's Peres urges return to peace talks Sentence 2: Gonsalves keeps up pressure on Dom Rep", "output": "0 - definitely not" }, "3380": { "input": "Sentence 1: China yuan strengthens to 6.1184 against USD Tuesday Sentence 2: China yuan weakens to 6.1510 against USD", "output": "2 - possibly" }, "3381": { "input": "Sentence 1: Radio: Israel set to increase Palestinian prisoner release Sentence 2: US: Israel to delay Palestinian prisoner release", "output": "2 - possibly" }, "3382": { "input": "Sentence 1: Morsi's supporters reject plan Sentence 2: Morsi supporters march in Egypt", "output": "2 - possibly" }, "3383": { "input": "Sentence 1: Egypt court sentences 10 Brotherhood supporters to death - sources Sentence 2: Turkish PM tells supporters to prepare for rallies", "output": "0 - definitely not" }, "3384": { "input": "Sentence 1: Obama condemns killing of 3 Israeli teens Sentence 2: Bodies of missing Israeli teens found in West Bank", "output": "1 - probably not" }, "3385": { "input": "Sentence 1: Men tried to behead soldier on London street, court hears Sentence 2: Australia spied on Indonesia president: reports", "output": "0 - definitely not" }, "3386": { "input": "Sentence 1: Ukraine protesters rebuild barricades Sentence 2: Putin speaks on Ukraine, protesters rebuild barricades", "output": "3 - probably" }, "3387": { "input": "Sentence 1: Three dead, 63 hurt as New York buildings collapse Sentence 2: Two dead, nine hurt in French building collapse", "output": "2 - possibly" }, "3388": { "input": "Sentence 1: Chinese shares close higher Tuesday Sentence 2: Chinese stocks close lower Thursday", "output": "2 - possibly" }, "3389": { "input": "Sentence 1: India Ink: Image of the Day: July 2 Sentence 2: India Ink: Image of the Day: March 4", "output": "3 - probably" }, "3390": { "input": "Sentence 1: Asian Muslims celebrate Eid as 14 killed in Afghanistan Sentence 2: Asian Muslims celebrate Eid as 52 die in Pakistan, Afghanistan", "output": "4 - almost perfectly" }, "3391": { "input": "Sentence 1: Russian coal mines seek new outlets in China Sentence 2: Russian foreign minister to meet UN chief", "output": "0 - definitely not" }, "3392": { "input": "Sentence 1: Ukraine‚Äôs pro-Russia protesters demand greater autonomy Sentence 2: Sudanese protesters demand the regime's ouster", "output": "1 - probably not" }, "3393": { "input": "Sentence 1: Iraq army fights to retake Tikrit Sentence 2: Iraq army claims victory in Tikrit", "output": "3 - probably" }, "3394": { "input": "Sentence 1: Iran condemns alleged Israeli airstrike on Syria Sentence 2: Democrats Face Divide Over a Strike on Syria", "output": "1 - probably not" }, "3395": { "input": "Sentence 1: Israel agrees to extend Gaza truce by four hours Sentence 2: Israel, Hamas reportedly agree to 12-hour truce", "output": "3 - probably" }, "3396": { "input": "Sentence 1: Fire at South Korean bus terminal kills 5 Sentence 2: S Korea bus station fire kills seven", "output": "3 - probably" }, "3397": { "input": "Sentence 1: Four civilians, three NATO soldiers killed in Afghanistan Sentence 2: Three NATO soldiers killed in Afghanistan", "output": "3 - probably" }, "3398": { "input": "Sentence 1: Protesters swamp streets to reclaim revolution Sentence 2: Egypt: Protesters storm Muslim Brotherhood's HQ", "output": "2 - possibly" }, "3399": { "input": "Sentence 1: Tokyo stocks open down 0.24% Sentence 2: Tokyo stocks open up 0.52%", "output": "3 - probably" }, "3400": { "input": "Sentence 1: Australia returns asylum seekers to Sri Lanka in sea transfer Sentence 2: Australia: Australia hands asylum-seekers back to Sri Lanka", "output": "5 - perfectly" }, "3401": { "input": "Sentence 1: Shankill blast victims to be remembered Sentence 2: Crocodile victim's body recovered", "output": "0 - definitely not" }, "3402": { "input": "Sentence 1: 118 people killed in twin blasts in Nigeria Sentence 2: Ten killed in new blast in Russia", "output": "1 - probably not" }, "3403": { "input": "Sentence 1: Yolanda death toll climbs to 3,621 Sentence 2: Kenya Red Cross says death toll rises to 68", "output": "0 - definitely not" }, "3404": { "input": "Sentence 1: Tokyo stocks close up 0.13pc Sentence 2: Tokyo stocks close 0.75pc down", "output": "2 - possibly" }, "3405": { "input": "Sentence 1: Iran says ready for fresh round of nuclear talks Sentence 2: Iran's Khamenei renews support for nuclear talks", "output": "4 - almost perfectly" }, "3406": { "input": "Sentence 1: Clashes continue between police and protesters in Turkey Sentence 2: Turkish police fight protesters, clear square", "output": "4 - almost perfectly" }, "3407": { "input": "Sentence 1: Those refused medical cards urged to contact HSE Sentence 2: HSE boss defends medical-card plan", "output": "1 - probably not" }, "3408": { "input": "Sentence 1: World‚Äôs largest building opened in west China Sentence 2: Italy‚Äôs centre-left splinters in presidential vote", "output": "0 - definitely not" }, "3409": { "input": "Sentence 1: Israeli lightly hurt by stones in West Bank Sentence 2: Israeli troops kill Palestinian in West Bank raid", "output": "1 - probably not" }, "3410": { "input": "Sentence 1: Death toll from Egypt protests rises to 49 Sentence 2: Death toll from Egypt violence rises to 638", "output": "3 - probably" }, "3411": { "input": "Sentence 1: Syrian opposition agree to landmark peace talks Sentence 2: Syria opposition pressed to attend talks", "output": "3 - probably" }, "3412": { "input": "Sentence 1: Poverty stats doubt Modi's development claims Sentence 2: GM to start taking recall compensation claims Aug 1", "output": "0 - definitely not" }, "3413": { "input": "Sentence 1: Pro-Russia rebels to hold vote in Ukraine Sentence 2: Syria rebels: We killed Hezbollah men in Lebanon", "output": "0 - definitely not" }, "3414": { "input": "Sentence 1: Georgians vote for new president Sentence 2: Ally of Georgia's billionaire PM to be president -exit polls", "output": "3 - probably" }, "3415": { "input": "Sentence 1: EU declares Hezbollah's military wing terror group Sentence 2: EU puts Hezbollah military wing on terror list", "output": "5 - perfectly" }, "3416": { "input": "Sentence 1: Germany welcomes Iran nuclear agreement Sentence 2: Syria welcomes Iran's nuclear deal", "output": "2 - possibly" }, "3417": { "input": "Sentence 1: What the Papers Say, June 25, 2013 Sentence 2: What the Papers Say, Aug. 19, 2013", "output": "2 - possibly" }, "3418": { "input": "Sentence 1: Gunmen kill nine foreigners in Pakistan Sentence 2: Gunmen kill nine tourists in Pakistan", "output": "5 - perfectly" }, "3419": { "input": "Sentence 1: 2 Indian traders stranded in China sent back home Sentence 2: 46 Indian nurses stranded in Iraq return home", "output": "2 - possibly" }, "3420": { "input": "Sentence 1: California governor declares drought emergency Sentence 2: California governor declares drought emergency as wildfires continue to burn", "output": "4 - almost perfectly" }, "3421": { "input": "Sentence 1: Peace talks with Palestinians would take months: Israel official Sentence 2: 3yo Palestinian girl killed in Israeli raid", "output": "0 - definitely not" }, "3422": { "input": "Sentence 1: 17:02 23 killed in Iraq car bombings Sentence 2: 11 children killed in Syria bombings", "output": "1 - probably not" }, "3423": { "input": "Sentence 1: Two dead, more trapped in latest Mumbai building collapse Sentence 2: Two are trapped as US building collapses", "output": "1 - probably not" }, "3424": { "input": "Sentence 1: Air strikes kills dozens in northern Syria Sentence 2: Ukraine will not give 'an inch' over Crimea", "output": "0 - definitely not" }, "3425": { "input": "Sentence 1: Chinese tourist abducted from Malaysia Sentence 2: China returns 10 children abducted from Vietnam", "output": "1 - probably not" }, "3426": { "input": "Sentence 1: UN inspectors hail progress over Syria chemical weapons Sentence 2: U.S. has not concluded Syria used chemical weapons -White House", "output": "2 - possibly" }, "3427": { "input": "Sentence 1: Two arrests made after protest against Nigel Farage Sentence 2: Kerry vows progress after latest intensive Mideast trip", "output": "0 - definitely not" }, "3428": { "input": "Sentence 1: Gunmen kill 15 Libyan soldiers Sentence 2: Gunmen kill 3 Lebanese troops near Syria", "output": "2 - possibly" }, "3429": { "input": "Sentence 1: Pictures show completed Costa Concordia operation Sentence 2: Timelapse of Costa Concordia operation", "output": "4 - almost perfectly" }, "3430": { "input": "Sentence 1: Iran Nuclear Talks Enter Third Day Sentence 2: Iran nuclear talks enter crucial third day", "output": "5 - perfectly" }, "3431": { "input": "Sentence 1: Protesters gather in Brazil despite concessions Sentence 2: Protests sweep Brazil despite concession", "output": "5 - perfectly" }, "3432": { "input": "Sentence 1: Australian PM Kevin Rudd calls election for 7 September Sentence 2: Australian PM Rudd calls Sept. 7 poll", "output": "5 - perfectly" }, "3433": { "input": "Sentence 1: Iran nuclear talks expected to resume this week Sentence 2: UK: Iran nuclear talks at a serious point", "output": "3 - probably" }, "3434": { "input": "Sentence 1: Bangkok tense on Thai election eve Sentence 2: Bangladesh: Crackdown Escalates Ahead of Election", "output": "2 - possibly" }, "3435": { "input": "Sentence 1: China ‚Äėwill protect interests‚Äô of foreign business Sentence 2: Obama in ‚Äėdirect‚Äô confrontation with Putin on Ukraine", "output": "0 - definitely not" }, "3436": { "input": "Sentence 1: D.C. Votes to Decriminalize Marijuana Sentence 2: DC votes to decriminalize pot", "output": "5 - perfectly" }, "3437": { "input": "Sentence 1: Many dead as asylum boat sinks off Australia Sentence 2: Mandela spends third day in hospital", "output": "0 - definitely not" }, "3438": { "input": "Sentence 1: North Korea's Kim hails execution of powerful uncle Sentence 2: North Korean intrigue: The execution of power", "output": "3 - probably" }, "3439": { "input": "Sentence 1: Margaret Thatcher dies after stroke Sentence 2: Margaret Thatcher dies at 87", "output": "4 - almost perfectly" }, "3440": { "input": "Sentence 1: Chinese president arrives in Netherlands for state visit, nuclear summit Sentence 2: Chinese president arrives in Venezuela for state visit", "output": "2 - possibly" }, "3441": { "input": "Sentence 1: UK Sky News cameraman killed in Egypt Sentence 2: Sky News Cameraman Killed In Egypt", "output": "5 - perfectly" }, "3442": { "input": "Sentence 1: Stocks rise in early trading Sentence 2: Stocks inch higher in early trading", "output": "4 - almost perfectly" }, "3443": { "input": "Sentence 1: FBI audio expert testifies in Zimmerman trial Sentence 2: Jury selection begins in Zimmerman's trial", "output": "1 - probably not" }, "3444": { "input": "Sentence 1: Iranian nuclear talks to be extended to November Sentence 2: Iran nuclear talks extended to November 24", "output": "4 - almost perfectly" }, "3445": { "input": "Sentence 1: Boston bombing suspect to appear in court Sentence 2: Boston bombing suspect buried", "output": "1 - probably not" }, "3446": { "input": "Sentence 1: Death toll in India building collapse hits 42 Sentence 2: Toll from India building collapse hits 25", "output": "3 - probably" }, "3447": { "input": "Sentence 1: Obama announces creation of twin manufacturing hubs Sentence 2: US stocks retreat on manufacturing data", "output": "0 - definitely not" }, "3448": { "input": "Sentence 1: Five charged with terrorism offences Sentence 2: Five People Charged With Terror Offences", "output": "5 - perfectly" }, "3449": { "input": "Sentence 1: US, NATO Raise Doubts Russia Pulled Back from Ukraine Border Sentence 2: No Sign of Russian Withdrawal From Ukraine Border, Official Says", "output": "3 - probably" }, "3450": { "input": "Sentence 1: FTSE Bursa Malaysia update: 11.30am Sentence 2: FTSE Bursa Malaysia update: 3.00pm", "output": "3 - probably" }, "3451": { "input": "Sentence 1: Glasgow Helicopter Crash Search Ends Sentence 2: Glasgow Helicopter Crash: Woman PC Is Victim", "output": "3 - probably" }, "3452": { "input": "Sentence 1: Quotations in the News Sentence 2: Quotations of the day", "output": "3 - probably" }, "3453": { "input": "Sentence 1: Philip leaves hospital after 11 days Sentence 2: Mandela leaves hospital after 10 days", "output": "2 - possibly" }, "3454": { "input": "Sentence 1: Bone fragment 'could be King Alfred' Sentence 2: Remains in Winchester could be King Alfred the Great", "output": "5 - perfectly" }, "3455": { "input": "Sentence 1: Israel frees second group of Palestinian prisoners Sentence 2: Israel releases 26 Palestinian prisoners", "output": "4 - almost perfectly" }, "3456": { "input": "Sentence 1: Two skydivers dead after colliding during US jump Sentence 2: Two skydivers dead after colliding during jump in Arizona", "output": "4 - almost perfectly" }, "3457": { "input": "Sentence 1: 'Iron Man' jetpacks spark concerns in Hawaii Sentence 2: 'Iron Man' Jetpacks Spark Concerns", "output": "4 - almost perfectly" }, "3458": { "input": "Sentence 1: Israel frees Palestinian prisoners Sentence 2: Israel releases 26 Palestinian prisoners", "output": "5 - perfectly" }, "3459": { "input": "Sentence 1: France Says Won't 'Shirk Responsibilities' in Syria Sentence 2: France urges EU to be united on Syria", "output": "3 - probably" }, "3460": { "input": "Sentence 1: Boston bombing suspect identified on surveillance video, no arrest Sentence 2: Boston bombing suspect was under FBI surveillance, says mother", "output": "3 - probably" }, "3461": { "input": "Sentence 1: China yuan strengthens to new high against USD Sentence 2: China yuan weakens to 6.1705 against USD", "output": "2 - possibly" }, "3462": { "input": "Sentence 1: Man held after teen shot in Belfast Sentence 2: Man, 40, arrested after shooting", "output": "3 - probably" }, "3463": { "input": "Sentence 1: Police stop Maldives presidential election Sentence 2: Keita Wins Mali Presidential Election", "output": "1 - probably not" }, "3464": { "input": "Sentence 1: Indian army kill 3 militants in Indian-controlled Kashmir Sentence 2: Indian troops kill militant commander in Indian-controlled Kashmir", "output": "4 - almost perfectly" }, "3465": { "input": "Sentence 1: Car bomb kills 20 in northwest Syria Sentence 2: Car bomb kills 40 in northwest Pakistan", "output": "1 - probably not" }, "3466": { "input": "Sentence 1: Iran ups oil swap with eastern neighbors Sentence 2: Iran urges rapid release of diplomat", "output": "0 - definitely not" }, "3467": { "input": "Sentence 1: Turkey president appeals for calm Sentence 2: Texas house provisionally approves abortion law", "output": "0 - definitely not" }, "3468": { "input": "Sentence 1: North Korea test fires 30 missiles into the sea Sentence 2: N Korea 'fires 100 shells' into the sea", "output": "3 - probably" }, "3469": { "input": "Sentence 1: Man dies in Co Donegal house fire Sentence 2: Woman dies in Co Cork house fire", "output": "2 - possibly" }, "3470": { "input": "Sentence 1: Doha gas blast kills 12, injures dozens Sentence 2: Syria missile kills 26, including 8 kids", "output": "1 - probably not" }, "3471": { "input": "Sentence 1: Polling stations open at Ukrainian presidential election Sentence 2: Nominations open for e.TV Ghana Most Influential Awards", "output": "0 - definitely not" }, "3472": { "input": "Sentence 1: India Ink: Image of the Day: April 21 Sentence 2: India Ink: Image of the Day: May 2", "output": "3 - probably" }, "3473": { "input": "Sentence 1: Two French journalists killed in Mali Sentence 2: France confirms two French journalists killed in Mali", "output": "5 - perfectly" }, "3474": { "input": "Sentence 1: Gunmen kill nine tourists in Pakistan Sentence 2: Gunmen Attack Hotel In Remote Pakistani Province", "output": "3 - probably" }, "3475": { "input": "Sentence 1: Israel and Hamas to observe brief Gaza truce Sentence 2: Israel And Hamas 'Accept Temporary Truce'", "output": "5 - perfectly" }, "3476": { "input": "Sentence 1: China's troubled Xinjiang hit by more violence Sentence 2: China's online population rises to 618 mln", "output": "0 - definitely not" }, "3477": { "input": "Sentence 1: Relatives scuffle with police after China fire kills 120 Sentence 2: Angry families demand answers after China plant fire kills 119", "output": "4 - almost perfectly" }, "3478": { "input": "Sentence 1: Iran rejects claim on chlorine bombs Sentence 2: Iran rejects MKO claim on nuclear site", "output": "2 - possibly" }, "3479": { "input": "Sentence 1: India Minister's wife died 'unnatural death' after affair rumours Sentence 2: Minister's wife's death 'unnatural'", "output": "4 - almost perfectly" }, "3480": { "input": "Sentence 1: 5 killed in S China road cave-in Sentence 2: 02:41 156 killed in China earthquake", "output": "1 - probably not" }, "3481": { "input": "Sentence 1: South Africa president: Mandela is improving Sentence 2: Afghan president delays signing US deal", "output": "0 - definitely not" }, "3482": { "input": "Sentence 1: World News Update, what you need to know Sentence 2: Labour's 50p tax rate: what you need to know", "output": "1 - probably not" }, "3483": { "input": "Sentence 1: Syrian civil war in photos Sentence 2: Syrian civil war peace talks at risk from Iran invitation", "output": "1 - probably not" }, "3484": { "input": "Sentence 1: Abdullah Widens Lead in Afghan Presidential Poll Sentence 2: Explosions heard near Afghan presidential palace", "output": "1 - probably not" }, "3485": { "input": "Sentence 1: Imran blames rival for colleague murder Sentence 2: Pakistans Imran blames rival for killing party member", "output": "4 - almost perfectly" }, "3486": { "input": "Sentence 1: Bangladesh Honors Factory Victims Sentence 2: Retailers back Bangladesh factory safety pact", "output": "3 - probably" }, "3487": { "input": "Sentence 1: Japan defends dolphin hunt after US criticism Sentence 2: Japan defends dolphin hunts after criticism from US", "output": "5 - perfectly" }, "3488": { "input": "Sentence 1: Bomb blast rocks shopping mall in Nigeria, 12 killed Sentence 2: Bomb blasts before Indian opposition rally kill 4", "output": "1 - probably not" }, "3489": { "input": "Sentence 1: Philippines typhoon death toll at 4,460: UN Sentence 2: Philippines typhoon death toll rises above 5,000", "output": "3 - probably" }, "3490": { "input": "Sentence 1: Police fire teargas on Venezuelan vote protesters Sentence 2: Chavez heir Maduro wins Venezuela's presidency", "output": "1 - probably not" }, "3491": { "input": "Sentence 1: Wave of attacks kills at least 95 in Iraq Sentence 2: Suicide attack kills at least 12 in northern Iraq", "output": "2 - possibly" }, "3492": { "input": "Sentence 1: Top Chinese political advisor meets Greek PM Sentence 2: Top Chinese political advisor meets Yemeni president", "output": "3 - probably" }, "3493": { "input": "Sentence 1: Palestinian diplomat injured in explosion in Prague Sentence 2: Palestinian ambassador injured in apartment blast", "output": "4 - almost perfectly" }, "3494": { "input": "Sentence 1: Ukraine leader pledges crisis talks Sentence 2: Ukraine Leader Pledges Crisis Talks", "output": "5 - perfectly" }, "3495": { "input": "Sentence 1: 7 killed in attacks in Iraq Sentence 2: 16 killed in series of attacks in Iraq", "output": "3 - probably" }, "3496": { "input": "Sentence 1: US military presence in East Asia Sentence 2: NATO ups military presence amid Russian threat", "output": "1 - probably not" }, "3497": { "input": "Sentence 1: US believes Syrian government used chemical weapons Sentence 2: US suspects Syria used chemical weapons", "output": "5 - perfectly" }, "3498": { "input": "Sentence 1: Egypt's Muslim Brotherhood Refuses to Back Down Sentence 2: Egyptian court sentences Muslim Brotherhood leader to life in prison", "output": "1 - probably not" }, "3499": { "input": "Sentence 1: At least 6 dead in Canada bus, train crash Sentence 2: At least 6 dead in Paris train crash", "output": "2 - possibly" }, "3500": { "input": "Sentence 1: Chinese president meets Greek PM, calling for stronger partnership Sentence 2: Chinese president meets Indian vice president", "output": "2 - possibly" }, "3501": { "input": "Sentence 1: Italian fugitive arrested in Dominican Republic Sentence 2: Australian icebreaker arrives in East Antarctica for new rescue bid", "output": "0 - definitely not" }, "3502": { "input": "Sentence 1: Israel Carrying Out Ground Offensive In Gaza Sentence 2: Israel Launches Ground Offensive In Gaza", "output": "5 - perfectly" }, "3503": { "input": "Sentence 1: Brahimi apologises to Syria over lack of peace progress Sentence 2: Mediator apologizes to Syrians for lack of peace progress", "output": "4 - almost perfectly" }, "3504": { "input": "Sentence 1: Egyptian protesters issue Morsi resignation ultimatum Sentence 2: Ukraine protesters battle police in new clashes", "output": "0 - definitely not" }, "3505": { "input": "Sentence 1: 5 Things to Know About the Sochi Olympics Sentence 2: 7 Things to Know About Ethanol", "output": "0 - definitely not" }, "3506": { "input": "Sentence 1: China stocks open lower on Wednesday Sentence 2: China's stocks close lower on Monday", "output": "3 - probably" }, "3507": { "input": "Sentence 1: US delays missile test as tensions rise Sentence 2: William Hague: US decision to halt missile test 'sensible'", "output": "3 - probably" }, "3508": { "input": "Sentence 1: Fire in Beijing kills 10 Sentence 2: Fire in Beijing kills ten", "output": "5 - perfectly" }, "3509": { "input": "Sentence 1: India, China ink border pact; 8 other agreements Sentence 2: India, China ink agreement on trans-border rivers", "output": "4 - almost perfectly" }, "3510": { "input": "Sentence 1: Venezuela expels three U.S. diplomats Sentence 2: Venezuela Expels 3 U.S. Diplomats", "output": "5 - perfectly" }, "3511": { "input": "Sentence 1: Heavy smog hits north China city, flights cancelled Sentence 2: Heavy Smog Hits North China City, Flights Canceled", "output": "5 - perfectly" }, "3512": { "input": "Sentence 1: Russia claims to have foiled possible terror act Sentence 2: Russia says ballistic 'objects' fired in Mediterranean", "output": "1 - probably not" }, "3513": { "input": "Sentence 1: 3 Chinese tourists killed in Pakistan Sentence 2: Seven kidnappers killed in southern Nigeria", "output": "0 - definitely not" }, "3514": { "input": "Sentence 1: Gunmen kill 10 foreign tourists in northern Pakistan Sentence 2: Islamic militants kill 9 foreign tourists, 1 Pakistani", "output": "3 - probably" }, "3515": { "input": "Sentence 1: Austrian found hoarding 56 stolen skulls in home museum Sentence 2: Stolen skulls found in home museum", "output": "3 - probably" }, "3516": { "input": "Sentence 1: Egypt Launches Offensive Against Sinai Militants Sentence 2: Egypt launches offensive against Sinai insurgents", "output": "5 - perfectly" }, "3517": { "input": "Sentence 1: Record-setting Southwest heat wave turns fatal Sentence 2: At least 1 dead, 40 hospitalized in Southwest heat wave", "output": "4 - almost perfectly" }, "3518": { "input": "Sentence 1: Detroit eligible for bankruptcy protection: U.S. judge Sentence 2: Detroit eligible for bankruptcy protection", "output": "5 - perfectly" }, "3519": { "input": "Sentence 1: British Nobel-Winning Author Doris Lessing Dies Sentence 2: Nobel Prize winning author Doris Lessing dies", "output": "4 - almost perfectly" }, "3520": { "input": "Sentence 1: Israeli government authorises new settlements ahead of talks Sentence 2: Israel Approves New Settlement Homes Ahead of Peace Talks", "output": "5 - perfectly" }, "3521": { "input": "Sentence 1: Pakistani Taliban chief killed in US drone strike Sentence 2: Funeral for Pakistan Taliban chief 'set to take place'", "output": "2 - possibly" }, "3522": { "input": "Sentence 1: Putin signs Crimea annexe treaty Sentence 2: 09:32 Putin signs off Crimea annexation", "output": "4 - almost perfectly" }, "3523": { "input": "Sentence 1: FAA continues ban on US flights to Tel Aviv Sentence 2: FAA lifts ban on U.S. flights to Tel Aviv", "output": "2 - possibly" }, "3524": { "input": "Sentence 1: Chinese envoy rebuts Vietnamese, Philippine accusations over South China Sea Sentence 2: China's Xi tells Vietnam wants peace in South China Sea", "output": "3 - probably" }, "3525": { "input": "Sentence 1: Iran's president condemns use of chemical weapons in Syria Sentence 2: Probe alleged use of chemical weapons in Syria", "output": "2 - possibly" }, "3526": { "input": "Sentence 1: A society fraying at the edges Sentence 2: Old TV alignments crack at the edges", "output": "0 - definitely not" }, "3527": { "input": "Sentence 1: UN Invites Iran to Syrian Peace Conference Sentence 2: UN: Iran Invited to Attend Syrian Peace Conference", "output": "5 - perfectly" }, "3528": { "input": "Sentence 1: Italy bus crash death toll rises Sentence 2: Starbucks clears college degree path for workers", "output": "0 - definitely not" }, "3529": { "input": "Sentence 1: Soccer Ref Punched by Player Dies Sentence 2: Police: Utah soccer referee punched by player dies", "output": "4 - almost perfectly" }, "3530": { "input": "Sentence 1: Angela Merkel headed for narrow win in German elections Sentence 2: Malawi's new president sworn in after disputed elections", "output": "0 - definitely not" }, "3531": { "input": "Sentence 1: Israel detains 37 Palestinians as arrest operation continues Sentence 2: Israel criticizes Palestinian stance on settlers", "output": "1 - probably not" }, "3532": { "input": "Sentence 1: Rebels kill 21 civilians in Syria Alawite village Sentence 2: Bomb kills 18 civilians in Afghanistan", "output": "1 - probably not" }, "3533": { "input": "Sentence 1: World sends emergency relief to battered Philippines Sentence 2: Typhoon Haiyan: world sends relief to battered Philippines", "output": "5 - perfectly" }, "3534": { "input": "Sentence 1: Palestinian hunger striker, Israel reach deal Sentence 2: Palestinian activist detained in Israeli raid", "output": "1 - probably not" }, "3535": { "input": "Sentence 1: Assad says Syria will comply with UN arms resolution Sentence 2: Syria's Assad vows to comply with U.N. resolution", "output": "5 - perfectly" }, "3536": { "input": "Sentence 1: South Korean President Sorry For Ferry Response Sentence 2: S. Korean president 'sorry' for ferry disaster", "output": "5 - perfectly" }, "3537": { "input": "Sentence 1: Food price hikes raise concerns in Iran Sentence 2: American Chris Horner wins Tour of Spain", "output": "0 - definitely not" }, "3538": { "input": "Sentence 1: Obama made last-minute decision on Syria approval Sentence 2: Obama mulls limited military action in Syria", "output": "2 - possibly" }, "3539": { "input": "Sentence 1: Driver backs into stroller with child, drives off Sentence 2: Driver backs into mom, stroller with child then drives off", "output": "4 - almost perfectly" }, "3540": { "input": "Sentence 1: Spain Princess Testifies in Historic Fraud Probe Sentence 2: Spain princess testifies in historic fraud probe", "output": "5 - perfectly" }, "3541": { "input": "Sentence 1: Senate confirms Obama nominee to key appeals court Sentence 2: Senate approves Obama nominee to key appeals court", "output": "5 - perfectly" }, "3542": { "input": "Sentence 1: U.N. rights chief presses Egypt on Mursi detention Sentence 2: UN Rights Chief Presses Egypt on Morsi Detention", "output": "5 - perfectly" }, "3543": { "input": "Sentence 1: US Senate confirms Janet Yellen as US Federal Reserve chief Sentence 2: Senate confirms Janet Yellen as next Federal Reserve Chair", "output": "5 - perfectly" }, "3544": { "input": "Sentence 1: Syrian Rebel Groups Battle Each Other in North Sentence 2: Syrian rebel groups battle each other in north", "output": "5 - perfectly" }, "3545": { "input": "Sentence 1: Mayawati demands president's rule in Kashmir Sentence 2: Mayawati demands Presidents rule in Jammu and Kashmir", "output": "3 - probably" }, "3546": { "input": "Sentence 1: Uganda's president signs anti-gay bill Sentence 2: Uganda's president signs harsh anti-gay law", "output": "4 - almost perfectly" }, "3547": { "input": "Sentence 1: Rocks, Tear Gas Fly as Thai Protests Heat Up Sentence 2: Rocks, tear gas fly as Thai protests heat up", "output": "5 - perfectly" }, "3548": { "input": "Sentence 1: Boston bombing suspect buried in Virginia Sentence 2: Boston bomb suspect buried in Virginia cemetery", "output": "5 - perfectly" }, "3549": { "input": "Sentence 1: Six dead in Philippine restaurant blast Sentence 2: 6 killed in Philippines restaurant blast", "output": "5 - perfectly" }, "3550": { "input": "Sentence 1: China army newspaper hits out at US's PRISM programme Sentence 2: China army newspaper slams US's PRISM program", "output": "5 - perfectly" }, "3551": { "input": "Sentence 1: Silvio Berlusconi expelled from Italy's parliament Sentence 2: Silvio Berlusconi expelled from parliament", "output": "4 - almost perfectly" }, "3552": { "input": "Sentence 1: Two killed in Bahrain car explosion Sentence 2: Two killed in Bahrain car blast", "output": "5 - perfectly" }, "3553": { "input": "Sentence 1: Russia warns it will respond if interests attacked in Ukraine Sentence 2: Russia warns it will 'respond' if interests in Ukraine attacked", "output": "5 - perfectly" }, "3554": { "input": "Sentence 1: Hosni Mubarak retrial adjourned until 8 June Sentence 2: Mubarak retrial adjourned to June", "output": "4 - almost perfectly" }, "3555": { "input": "Sentence 1: Egypt protesters defy cabinet threat to end sit-ins Sentence 2: Egypt protesters defy cabinet threat", "output": "4 - almost perfectly" }, "3556": { "input": "Sentence 1: Couple marry in the UK's first Scientology wedding Sentence 2: Couple get married in Britain's first Scientology wedding", "output": "5 - perfectly" }, "3557": { "input": "Sentence 1: Qatar's emir hands power to his son Sentence 2: Qatari emir hands power to son Tamim", "output": "4 - almost perfectly" }, "3558": { "input": "Sentence 1: Philippines typhoon death toll feared to hit 7,000 Sentence 2: Philippines typhoon death toll rises above 5,000", "output": "3 - probably" }, "3559": { "input": "Sentence 1: Egypt braces for 'Friday of anger' after carnage Sentence 2: Egypt braces for Friday of anger after bloody crackdown", "output": "4 - almost perfectly" }, "3560": { "input": "Sentence 1: Red Sox Beat Tigers 5-2 to Advance to World Series Sentence 2: Red Sox beat Tigers to reach World Series", "output": "4 - almost perfectly" }, "3561": { "input": "Sentence 1: China lands Jade Rabbit robot rover on Moon Sentence 2: China lands robot rover on moon", "output": "4 - almost perfectly" }, "3562": { "input": "Sentence 1: Ukrainian parliament dismisses president Sentence 2: Ukraine's parliament votes to dismiss president", "output": "4 - almost perfectly" }, "3563": { "input": "Sentence 1: Venezuela lawmakers brawl amid election tensions Sentence 2: Venezuela lawmakers brawl over election", "output": "5 - perfectly" }, "3564": { "input": "Sentence 1: North Korea Warns Foreigners in South, Advising Evacuation Sentence 2: North Korea warns foreigners in South to evacuate", "output": "5 - perfectly" }, "3565": { "input": "Sentence 1: Captain of sunken South Korean ferry arrested Sentence 2: Captain of capsized S Korean Ferry Arrested", "output": "4 - almost perfectly" }, "3566": { "input": "Sentence 1: Cars, drivers plunge into river after Wash. I-5 bridge collapse Sentence 2: Cars plunge into river as US bridge collapses", "output": "3 - probably" }, "3567": { "input": "Sentence 1: Death toll in Syria now tops 100,000 Sentence 2: Death toll in Syria over 100,000 so far", "output": "5 - perfectly" }, "3568": { "input": "Sentence 1: Communist rebels ambush Philippine police, kill 7 Sentence 2: Communist rebels kill eight Philippine police", "output": "4 - almost perfectly" }, "3569": { "input": "Sentence 1: Egypt's Morsi faces trial for prison break, murder, says prosecution Sentence 2: Egypt's Morsi faces trial for prison break", "output": "3 - probably" }, "3570": { "input": "Sentence 1: Iran Nuclear Talks Enter Third Day Sentence 2: Iran nuclear talks enter crucial third day", "output": "5 - perfectly" }, "3571": { "input": "Sentence 1: Thai army declares martial law Sentence 2: Thailand's army declares martial law, denies coup", "output": "3 - probably" }, "3572": { "input": "Sentence 1: Woman dies while riding roller coaster in Texas Sentence 2: Woman dies riding roller coaster at Texas amusement park", "output": "4 - almost perfectly" }, "3573": { "input": "Sentence 1: Nobel author Doris Lessing dies at 94 Sentence 2: Nobel Prize winning author Doris Lessing dies", "output": "4 - almost perfectly" }, "3574": { "input": "Sentence 1: Over 100 dead as typhoon slams central Philippines Sentence 2: At least 100 dead as typhoon batters Philippines", "output": "5 - perfectly" }, "3575": { "input": "Sentence 1: First post office savings bank ATM opens in Chennai Sentence 2: India's first post office savings bank ATM inaugurated in Chennai", "output": "4 - almost perfectly" }, "3576": { "input": "Sentence 1: Israel agrees to 12 hour ceasefire Sentence 2: Israel agrees to 24-hour Gaza truce", "output": "3 - probably" }, "3577": { "input": "Sentence 1: Quake of 6.2 magnitude strikes off Indonesia's Sumatra - USGS Sentence 2: Earthquake of 6.9 magnitude strikes off Indonesia island", "output": "3 - probably" }, "3578": { "input": "Sentence 1: British stuntman fell to his death in wing suit mishap Sentence 2: British stuntman dies in wingsuit mishap in Alps", "output": "4 - almost perfectly" }, "3579": { "input": "Sentence 1: What makes India vote? Jaipur Lit Fest debates Sentence 2: What makes India vote? Debate at Jaipur Literature Festival", "output": "5 - perfectly" }, "3580": { "input": "Sentence 1: White diamond breaks record in Hong Kong auction Sentence 2: White diamond fetches record $34m at HK auction", "output": "4 - almost perfectly" }, "3581": { "input": "Sentence 1: Chinese satellite spots large object in search area Sentence 2: Malaysia: Chinese satellite found object in ocean", "output": "3 - probably" }, "3582": { "input": "Sentence 1: Hamas Urges Hizbullah to Pull Fighters Out of Syria Sentence 2: Hamas calls on Hezbollah to pull forces out of Syria", "output": "5 - perfectly" }, "3583": { "input": "Sentence 1: U.S. and Russia reach a deal on Syria's chemical weapons Sentence 2: China welcomes US, Russia deal on Syria chemical weapons", "output": "3 - probably" }, "3584": { "input": "Sentence 1: PSNI failed RUC officers, tribunal told Sentence 2: 13:23 PSNI 'failed RUC officer families'", "output": "4 - almost perfectly" }, "3585": { "input": "Sentence 1: Stocks edge lower following retail earnings Sentence 2: Stocks edge lower after earnings from retailers", "output": "5 - perfectly" }, "3586": { "input": "Sentence 1: Police helicopter crashes into Scottish pub Sentence 2: Police helicopter crashes on top of bar in Glasgow", "output": "4 - almost perfectly" }, "3587": { "input": "Sentence 1: US ups pressure on Israel as UN demands Gaza truce Sentence 2: US, UN up pressure on Israel over Gaza", "output": "4 - almost perfectly" }, "3588": { "input": "Sentence 1: Australian PM says 'Very confident' signals are from black box Sentence 2: Australian PM confident sounds are from Flight 370", "output": "4 - almost perfectly" }, "3589": { "input": "Sentence 1: Mandela's condition has 'improved' Sentence 2: Mandela's condition has 'worsened over past 48 hours'", "output": "1 - probably not" }, "3590": { "input": "Sentence 1: Philippe becomes king of Belgium Sentence 2: Philippe ascends throne of divided Belgium", "output": "4 - almost perfectly" }, "3591": { "input": "Sentence 1: India anti-graft party takes charge in New Delhi Sentence 2: India's Anti-Graft Party Forms Government in Delhi", "output": "4 - almost perfectly" }, "3592": { "input": "Sentence 1: Spain approves new restrictive abortion law Sentence 2: Spanish government approves tight restrictions on abortion", "output": "5 - perfectly" }, "3593": { "input": "Sentence 1: Obama orders Syria 'gas attack' inquiry Sentence 2: UN urges Syria gas attack inspection", "output": "2 - possibly" }, "3594": { "input": "Sentence 1: German ambassador's Athens residence shot at Sentence 2: Shots fired at German ambassador's residence in Athens", "output": "5 - perfectly" }, "3595": { "input": "Sentence 1: Ukraine's jailed opposition icon Tymoshenko walks free Sentence 2: Ukraine's opposition chief wants more protests", "output": "2 - possibly" }, "3596": { "input": "Sentence 1: Oklahoma examines what went wrong in botched execution Sentence 2: Okla. inmate dies of heart attack after botched execution", "output": "3 - probably" }, "3597": { "input": "Sentence 1: Napolitano elected for second term as Italy president Sentence 2: Italian President Napolitano elected for second term", "output": "5 - perfectly" }, "3598": { "input": "Sentence 1: UN court convicts 6 Bosnian Croats of atrocities Sentence 2: UN War Crimes Court Convicts Six Bosnians Croats", "output": "4 - almost perfectly" }, "3599": { "input": "Sentence 1: Saudi man with pressure cooker arrested at Detroit airport Sentence 2: Saudi Man Traveling With Pressure Cooker Arrested", "output": "4 - almost perfectly" }, "3600": { "input": "Sentence 1: North Korea says to put US citizen on trial Sentence 2: North Korea says detained American tourist to face trial", "output": "5 - perfectly" }, "3601": { "input": "Sentence 1: Thai protests escalate amid violence Sentence 2: Thai protesters call general strike", "output": "3 - probably" }, "3602": { "input": "Sentence 1: Egypt imposes state of emergency after 95 people killed Sentence 2: Egypt announces one-month state of emergency nationwide", "output": "3 - probably" }, "3603": { "input": "Sentence 1: Rallies demand 'Justice for Trayvon' Sentence 2: Across US, people rally for 'Justice for Trayvon'", "output": "4 - almost perfectly" }, "3604": { "input": "Sentence 1: Hagel, Dempsey face Congress over defense budget Sentence 2: Hagel laments \"political\" changes to US defence budget", "output": "4 - almost perfectly" }, "3605": { "input": "Sentence 1: Sony to sell PC unit and cut jobs Sentence 2: Sony to axe PC unit in major business overhaul", "output": "3 - probably" }, "3606": { "input": "Sentence 1: Man kills 4 in Calif. before police shoot him dead Sentence 2: Police: Gunman killed 6 in California shootings", "output": "2 - possibly" }, "3607": { "input": "Sentence 1: N. Korea Deports Elderly American Sentence 2: North Korea deports detained US war veteran", "output": "2 - possibly" }, "3608": { "input": "Sentence 1: Mandela remembered by family, as stadium memorial service is planned Sentence 2: Mandela's family thanks nation and world for support", "output": "1 - probably not" }, "3609": { "input": "Sentence 1: Ukrainian presidency says deal reached at crisis talks Sentence 2: Ukraine rivals sign deal to end crisis", "output": "4 - almost perfectly" }, "3610": { "input": "Sentence 1: Syria's PM escapes assassination try, regime says Sentence 2: Syrian prime minister survives assassination attempt", "output": "4 - almost perfectly" }, "3611": { "input": "Sentence 1: At least 18 killed in Iraq mosque bombing Sentence 2: More than 60 killed at Iraq funeral", "output": "0 - definitely not" }, "3612": { "input": "Sentence 1: Police surround protesters in Belfast ahead of G8 Sentence 2: Peaceful anti-G8 protest held in Belfast", "output": "3 - probably" }, "3613": { "input": "Sentence 1: George Zimmerman found not guilty of Trayvon Martin murder Sentence 2: George Zimmerman Verdict Propels Cable News Into Talkradio Mode", "output": "1 - probably not" }, "3614": { "input": "Sentence 1: Ten rescued off Waterford, Dublin coasts Sentence 2: Six rescued after boat capsizes in Dublin Bay", "output": "3 - probably" }, "3615": { "input": "Sentence 1: Mandela spends third day in hospital Sentence 2: Mandela in Hospital for 3rd Day", "output": "5 - perfectly" }, "3616": { "input": "Sentence 1: One killed in clashes at Muslim Brotherhood Cairo offices Sentence 2: Egypt: Protesters storm Muslim Brotherhood's HQ", "output": "2 - possibly" }, "3617": { "input": "Sentence 1: Saudi Women To Protest Against Driving Ban Sentence 2: Saudi women drive in protest with little problem", "output": "2 - possibly" }, "3618": { "input": "Sentence 1: Russian parliament allows Putin to use military in Ukraine Sentence 2: President Obama warns Russia to stay out of Ukraine", "output": "1 - probably not" }, "3619": { "input": "Sentence 1: Nelson Mandela hospital release reports 'incorrect' Sentence 2: Nelson Mandela Goes Home After Hospital Stay", "output": "2 - possibly" }, "3620": { "input": "Sentence 1: World stocks rise on hopes Fed to keep stimulus Sentence 2: Fed expected to maintain stimulus", "output": "1 - probably not" }, "3621": { "input": "Sentence 1: No winners in a war of sanctions Sentence 2: The impact of sanctions on Russia", "output": "1 - probably not" }, "3622": { "input": "Sentence 1: World Cup hit by new stadium death Sentence 2: Worker dies at World Cup stadium", "output": "3 - probably" }, "3623": { "input": "Sentence 1: Tata Nano and other Indian small cars fail crash tests Sentence 2: How does world's cheapest car do in crash test?", "output": "1 - probably not" }, "3624": { "input": "Sentence 1: Greece reaches agreement with troika, bailout tranche expected within days Sentence 2: Debt inspectors reach agreement with Greece", "output": "3 - probably" }, "3625": { "input": "Sentence 1: Murray ends 77-year wait for British win Sentence 2: Murray wins Wimbledon title ends Britains 77year agony", "output": "5 - perfectly" }, "3626": { "input": "Sentence 1: Malaysia Airlines plane crashes on Ukraine-Russia border - live Sentence 2: US: Russia Massing Troops on Ukraine Border", "output": "0 - definitely not" }, "3627": { "input": "Sentence 1: The covert war in Pakistan Sentence 2: New major earthquake rocks southwest Pakistan", "output": "0 - definitely not" }, "3628": { "input": "Sentence 1: Senior CPC official meets top DPRK leader's special envoy Sentence 2: North Korean leader sends 'special envoy' to China", "output": "3 - probably" }, "3629": { "input": "Sentence 1: Pope calls for action on climate change in draft encyclical Sentence 2: Pope urges action on climate change in draft encyclical", "output": "5 - perfectly" }, "3630": { "input": "Sentence 1: Singapore shares open 0.28% lower on Thursday Sentence 2: Singapore shares open 0.19% higher on Thursday", "output": "2 - possibly" }, "3631": { "input": "Sentence 1: Who Is Jihadi John? Sentence 2: Who was 'Jihadi John?'", "output": "5 - perfectly" }, "3632": { "input": "Sentence 1: Headlines in major Iranian newspapers on Oct 4 Sentence 2: Headlines in several Iranian newspapers on Oct 19", "output": "2 - possibly" }, "3633": { "input": "Sentence 1: US Attorney General Holder resigns Sentence 2: US Attorney general Eric Holder to resign", "output": "4 - almost perfectly" }, "3634": { "input": "Sentence 1: U.S., EU Widen Sanctions On Russia Sentence 2: U.S., EU Boost Sanctions On Russia", "output": "5 - perfectly" }, "3635": { "input": "Sentence 1: Top Asian News at 2:30 p.m. GMT Sentence 2: Top Asian News 1:25 p.m. GMT", "output": "1 - probably not" }, "3636": { "input": "Sentence 1: How the Dow Jones Industrial Average Did Wednesday Sentence 2: How the Dow Jones Industrial Average Fared on Monday", "output": "2 - possibly" }, "3637": { "input": "Sentence 1: Hajj to go ahead despite crane collapse, officials vow Sentence 2: Hajj to go ahead despite crane collapse", "output": "4 - almost perfectly" }, "3638": { "input": "Sentence 1: US House Republicans elect Paul Ryan as speaker Sentence 2: US House Republicans eye reluctant Ryan for speaker", "output": "3 - probably" }, "3639": { "input": "Sentence 1: Top Asian News at 4:00 p.m. GMT Sentence 2: Top Asian News 8:39 a.m. GMT", "output": "3 - probably" }, "3640": { "input": "Sentence 1: Singapore shares open 0.83% higher on Wednesday Sentence 2: Singapore shares open 0.06% lower on Tuesday", "output": "1 - probably not" }, "3641": { "input": "Sentence 1: China treasury bond futures open higher Tuesday Sentence 2: China treasury bond futures close mixed Wednesday", "output": "1 - probably not" }, "3642": { "input": "Sentence 1: US Attorney General Holder resigns Sentence 2: Attorney General Eric Holder to Resign", "output": "5 - perfectly" }, "3643": { "input": "Sentence 1: Headlines in major Iranian newspapers on Sept 27 Sentence 2: Headlines in several Iranian newspapers on Oct 19", "output": "3 - probably" }, "3644": { "input": "Sentence 1: China on high alert for typhoon Kalmaegi Sentence 2: China issues yellow alert for typhoon Kalmaegi", "output": "4 - almost perfectly" }, "3645": { "input": "Sentence 1: Saudi-led airstrikes hit Yemeni capital Sentence 2: Saudi airstrikes in Yemen's capital kill 29", "output": "3 - probably" }, "3646": { "input": "Sentence 1: Mali hunts jihadist nightclub killers Sentence 2: Militants attack UN as Mali hunts jihadist nightclub killers", "output": "3 - probably" }, "3647": { "input": "Sentence 1: 7.3 magnitude earthquake strikes Nepal Sentence 2: 6.6-magnitude earthquake strikes off Indonesia", "output": "1 - probably not" }, "3648": { "input": "Sentence 1: Tokyo shares open higher over buoyant U.S. market Sentence 2: Tokyo shares open higher tracing U.S. gains", "output": "4 - almost perfectly" }, "3649": { "input": "Sentence 1: Iran's parliament backs nuclear deal Sentence 2: Iran hardliners attack nuclear deal", "output": "1 - probably not" }, "3650": { "input": "Sentence 1: Hawaii preps for first hurricane in 22 years Sentence 2: Hawaii bracing as first hurricane in 22 years approaches", "output": "5 - perfectly" }, "3651": { "input": "Sentence 1: Iraq bombings kill at least 26 Sentence 2: Iraq suicide bomber kills at least 12", "output": "2 - possibly" }, "3652": { "input": "Sentence 1: Sierra Leone in Ebola lockdown Sentence 2: Sierra Leone Reaches Final Day of Ebola Lockdown", "output": "3 - probably" }, "3653": { "input": "Sentence 1: Tokyo shares open higher on buoyant U.S. market Sentence 2: Tokyo shares open higher following strong U.S. performance", "output": "4 - almost perfectly" }, "3654": { "input": "Sentence 1: 4 killed, several injured in SW China car accident Sentence 2: Two killed, seventeen injured in Raiwind road accident", "output": "0 - definitely not" }, "3655": { "input": "Sentence 1: More than 3,400 migrants rescued at sea in Mediterranean Sentence 2: Over 2,000 migrants rescued from wooden boats in Mediterranean", "output": "3 - probably" }, "3656": { "input": "Sentence 1: Lewis Hamilton Takes Pole for Russian GP Sentence 2: Lewis Hamilton wins inaugural Russian GP", "output": "4 - almost perfectly" }, "3657": { "input": "Sentence 1: UN Security Council hears Yemen envoy's final ... Sentence 2: UN Security Council urges Yemen's Houthis to end...", "output": "2 - possibly" }, "3658": { "input": "Sentence 1: 4 dead, 3 injured in east China road accident Sentence 2: 2 dead, 8 injured in central Israel traffic accident", "output": "0 - definitely not" }, "3659": { "input": "Sentence 1: Markets Live: Waiting for China data Sentence 2: Markets Live: China drags", "output": "2 - possibly" }, "3660": { "input": "Sentence 1: Palestinians, Israeli police clash at Jerusalem's al-Aqsa Sentence 2: Palestinian Shot by Israeli Police in East Jerusalem Dies", "output": "2 - possibly" }, "3661": { "input": "Sentence 1: Suspected Boko Haram suicide bombers in Nigeria kill 24 Sentence 2: Suspected Boko Haram attacks kill dozens in Nigeria", "output": "4 - almost perfectly" }, "3662": { "input": "Sentence 1: The end of the Hong Kong protests? Sentence 2: UK 'concern' over Hong Kong protests", "output": "2 - possibly" }, "3663": { "input": "Sentence 1: Russian warplanes strike inside Syria Sentence 2: Russian roulette in Syria", "output": "2 - possibly" }, "3664": { "input": "Sentence 1: CCTV of gunmen in Tunisia museum attack Sentence 2: 19 killed in Tunis museum attack", "output": "1 - probably not" }, "3665": { "input": "Sentence 1: Live Blog: Ukraine In Crisis Sentence 2: Live Blog: Iraq In Turmoil", "output": "0 - definitely not" }, "3666": { "input": "Sentence 1: Nigeria Votes in Tight Presidential Election Sentence 2: Guineans Go to the Polls in Presidential Elections", "output": "2 - possibly" }, "3667": { "input": "Sentence 1: Prince William dons samurai gear on Japan tour Sentence 2: Prince William of Britain arrives in Beijing", "output": "2 - possibly" }, "3668": { "input": "Sentence 1: Micronesia vice president to visit China Sentence 2: Vice President of Bolivia to visit China", "output": "2 - possibly" }, "3669": { "input": "Sentence 1: Islamic State issues video of beheading of US hostage Sentence 2: Islamic State posts second propaganda video of UK hostage", "output": "3 - probably" }, "3670": { "input": "Sentence 1: Iran ends cooperation agreement with Pakistan Sentence 2: Iran, Tajikistan sign cooperation agreement", "output": "2 - possibly" }, "3671": { "input": "Sentence 1: Teenager tests negative for Ebola Sentence 2: Texas hospital worker tests positive for Ebola", "output": "1 - probably not" }, "3672": { "input": "Sentence 1: Texas sues over Syrian refugees Sentence 2: Turkey 'exploits' Syrian refugees", "output": "1 - probably not" }, "3673": { "input": "Sentence 1: New US Sanctions Target Overseas Cyber Attackers Sentence 2: China disagrees with U.S. sanctions program on overseas cyber attackers", "output": "2 - possibly" }, "3674": { "input": "Sentence 1: 5 killed in Israeli air strikes in Gaza Sentence 2: 38 IS militants killed in clashes, air strikes in Iraq", "output": "0 - definitely not" }, "3675": { "input": "Sentence 1: Deadly Blast Rocks Coal Mine in East Ukraine Sentence 2: 12 Dead, Despite Cease-fire in East Ukraine", "output": "2 - possibly" }, "3676": { "input": "Sentence 1: Greece bailout uncertainty weighs on global markets Sentence 2: Greece concerns drag on Asia markets", "output": "3 - probably" }, "3677": { "input": "Sentence 1: Rooney helps Man United beat Everton 3-0 in Premier League Sentence 2: West Ham beats Newcastle 2-0 in Premier League", "output": "1 - probably not" }, "3678": { "input": "Sentence 1: Hard-line Jewish leader shot in Jerusalem Sentence 2: Israeli leader urges calm in Jerusalem", "output": "1 - probably not" }, "3679": { "input": "Sentence 1: Backstage Moves Intensify as Fight Against Islamic State Widens Sentence 2: Mixed Progress Reported in Fight Against Islamic State", "output": "2 - possibly" }, "3680": { "input": "Sentence 1: Libya: UN orders investigation into Libya rights abuses Sentence 2: India's top court orders investigation into job scam, deaths", "output": "0 - definitely not" }, "3681": { "input": "Sentence 1: Burundi police fire tear gas at protesters Sentence 2: Montenegrin police fire teargas to disperse opposition", "output": "1 - probably not" }, "3682": { "input": "Sentence 1: Nepal earthquake death toll surpasses 7,000 Sentence 2: Death toll in Nepal earthquake tops 8,000", "output": "3 - probably" }, "3683": { "input": "Sentence 1: Ashya's Parents Arrive For Extradition Hearing Sentence 2: Ashya King's parents freed from jail in Spain", "output": "1 - probably not" }, "3684": { "input": "Sentence 1: Nigeria admits slow response in Ebola case Sentence 2: US ramps up response to Ebola crisis", "output": "1 - probably not" }, "3685": { "input": "Sentence 1: Thousands cross Austria-Hungary border Sentence 2: Thousands of Russians stranded abroad", "output": "1 - probably not" }, "3686": { "input": "Sentence 1: Oscar Pistorius sentenced to 5 years in prison Sentence 2: 'Bookkeeper of Auschwitz' Sentenced to Four Years in Prison", "output": "0 - definitely not" }, "3687": { "input": "Sentence 1: Pro-Palestinian Activists March to UN Headquarters Sentence 2: Pro-Palestinian activists prepare flotilla to break Gaza blockade", "output": "2 - possibly" }, "3688": { "input": "Sentence 1: Benzema faces possible charges in sex-tape case Sentence 2: Menendez faces possible corruption charges", "output": "1 - probably not" }, "3689": { "input": "Sentence 1: All 224 dead in Russian airliner mystery crash Sentence 2: Heat flash detected at time of Russian airliner crash", "output": "2 - possibly" }, "3690": { "input": "Sentence 1: Govt. to hold talks with FTII students Sentence 2: Cameron to hold talks with Sturgeon on UK future", "output": "0 - definitely not" }, "3691": { "input": "Sentence 1: Li Na to announce retirement Sentence 2: US Senator Ted Cruz to announce presidential bid", "output": "0 - definitely not" }, "3692": { "input": "Sentence 1: Gunners fire but fail to advance in Champions League Sentence 2: EPL clubs out to avoid Champions League woes", "output": "1 - probably not" }, "3693": { "input": "Sentence 1: Iranian President praises nuclear deal Sentence 2: Iran arrests several spies near nuclear plant", "output": "1 - probably not" }, "3694": { "input": "Sentence 1: Boko Haram disrupts Nigerian elections Sentence 2: Press awash with Nigeria\\'s general elections", "output": "1 - probably not" }, "3695": { "input": "Sentence 1: South Korea regrets North's refusal of talks Sentence 2: South Korea reports 14th Mers death, 12 new cases", "output": "1 - probably not" }, "3696": { "input": "Sentence 1: Plane Crash Site Search Called off for the Night Sentence 2: Tour De France Pack Sets off for Stage 15", "output": "0 - definitely not" }, "3697": { "input": "Sentence 1: Obama queries Turnbull over China port deal Sentence 2: Spanish bulls gore seven to death", "output": "0 - definitely not" }, "3698": { "input": "Sentence 1: Hezbollah targets Qaeda gathering along border with Syria Sentence 2: Belarus tightens security along the border with Ukraine", "output": "0 - definitely not" }, "3699": { "input": "Sentence 1: South Korea reports seven new MERS cases Sentence 2: South Korean woman in contact with MERS patient dies", "output": "1 - probably not" }, "3700": { "input": "Sentence 1: Obama calls for international front against IS Sentence 2: Obama vows to save Iraqis stranded on mountain", "output": "0 - definitely not" }, "3701": { "input": "Sentence 1: Who abandoned 3 Boeing planes at the airport? Sentence 2: Police abandon posts in Lesotho, fear for lives", "output": "0 - definitely not" }, "3702": { "input": "Sentence 1: North Korea to put US citizen on trial Sentence 2: N Korea hit with new US sanctions", "output": "2 - possibly" }, "3703": { "input": "Sentence 1: Hong Kong officials resume work as protests thin Sentence 2: Hong Kong student leaders mull protest retreat", "output": "2 - possibly" }, "3704": { "input": "Sentence 1: Ebola UK: NHS staff 'panicked' after suspected Ebola cases Sentence 2: UK says investigating 2 suspected MERS cases", "output": "0 - definitely not" }, "3705": { "input": "Sentence 1: N. Korea agrees to talks with South Sentence 2: Johor crowns its fifth Sultan", "output": "0 - definitely not" }, "3706": { "input": "Sentence 1: Iran, a large important partner for Russia: Novak Sentence 2: Iran reiterates support for Iraq, Syria", "output": "0 - definitely not" }, "3707": { "input": "Sentence 1: Taiwan's president charters plane to pay respects to Lee Sentence 2: Poland president loses to challenger", "output": "0 - definitely not" }, "3708": { "input": "Sentence 1: Narendra Modi 'photoshopped' image of Chennai floods visit goes viral Sentence 2: PM Narendra Modi speaks of non-discrimination and equality", "output": "0 - definitely not" }, "3709": { "input": "Sentence 1: UN chief welcomes peaceful presidential elections in Guinea Sentence 2: UN chief condemns attack against peacekeepers in Mali", "output": "1 - probably not" }, "3710": { "input": "Sentence 1: Pakistan executions draw international ire Sentence 2: Pakistan protests ceasefire violations by India", "output": "0 - definitely not" }, "3711": { "input": "Sentence 1: Two Australians killed in Kenya after bus crashed into river Sentence 2: Permalink to Two killed in Germany train accident", "output": "0 - definitely not" }, "3712": { "input": "Sentence 1: France shuts mosque, arrests man in crackdown after attacks Sentence 2: Security tightened at New Delhi churches after attacks", "output": "2 - possibly" }, "3713": { "input": "Sentence 1: Russian plane reportedly crashes in Egypt Sentence 2: Pilot killed as US jet crashes in England", "output": "2 - possibly" }, "3714": { "input": "Sentence 1: Severe Gales As Storm Clodagh Hits Britain Sentence 2: Merkel pledges NATO solidarity with Latvia", "output": "0 - definitely not" }, "3715": { "input": "Sentence 1: President heading to Bahrain Sentence 2: President Xi: China to continue help to fight Ebola", "output": "0 - definitely not" }, "3716": { "input": "Sentence 1: China, India vow to further bilateral ties Sentence 2: China Scrambles to Reassure Jittery Stock Traders", "output": "0 - definitely not" } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/induce/sentiment.json ================================================ { "metadata": { "num_examples": 1167 }, "examples": { "1": { "input": "unpretentious, charming, quirky, original", "output": "positive" }, "2": { "input": "Very well-written and very well-acted.", "output": "positive" }, "3": { "input": "Disney again ransacks its archives for a quick-buck sequel.", "output": "negative" }, "4": { "input": "Elvira fans could hardly ask for more.", "output": "positive" }, "5": { "input": "An extremely unpleasant film.", "output": "negative" }, "6": { "input": "Amazingly lame.", "output": "negative" }, "7": { "input": "This comic gem is as delightful as it is derivative.", "output": "positive" }, "8": { "input": "Tedious Norwegian offering which somehow snagged an Oscar nomination.", "output": "negative" }, "9": { "input": "Intelligent and moving.", "output": "positive" }, "10": { "input": "Exhilarating, funny and fun.", "output": "positive" }, "11": { "input": "Feeble comedy.", "output": "negative" }, "12": { "input": "Excruciatingly unfunny and pitifully unromantic.", "output": "negative" }, "13": { "input": "Another entertaining romp from Robert Rodriguez.", "output": "positive" }, "14": { "input": "A party-hearty teen flick that scalds like acid.", "output": "negative" }, "15": { "input": "This may be Burns's strongest film since The Brothers McMullen.", "output": "positive" }, "16": { "input": "Morton deserves an Oscar nomination.", "output": "positive" }, "17": { "input": "A meditation on faith and madness, Frailty is blood-curdling stuff.", "output": "positive" }, "18": { "input": "This thing is virtually unwatchable.", "output": "negative" }, "19": { "input": "K-19: The Widowmaker is a great yarn.", "output": "positive" }, "20": { "input": "An enjoyable experience.", "output": "positive" }, "21": { "input": "The satire is just too easy to be genuinely satisfying.", "output": "negative" }, "22": { "input": "Heavy with flabby rolls of typical Toback machinations.", "output": "negative" }, "23": { "input": "Another Best of the Year selection.", "output": "positive" }, "24": { "input": "Muddled, simplistic and more than a little pretentious.", "output": "negative" }, "25": { "input": "Everything's serious, poetic, earnest and -- sadly -- dull.", "output": "negative" }, "26": { "input": "Comes across as a fairly weak retooling.", "output": "negative" }, "27": { "input": "Just isn't as weird as it ought to be.", "output": "negative" }, "28": { "input": "Humor in I Spy is so anemic.", "output": "negative" }, "29": { "input": "Violent, vulgar and forgettably entertaining.", "output": "negative" }, "30": { "input": "Plodding, peevish and gimmicky.", "output": "negative" }, "31": { "input": "A rote exercise in both animation and storytelling.", "output": "negative" }, "32": { "input": "Little more than a well-mounted history lesson.", "output": "negative" }, "33": { "input": "Much of the cast is stiff or just plain bad.", "output": "negative" }, "34": { "input": "It is a likable story, told with competence.", "output": "positive" }, "35": { "input": "Originality is sorely lacking.", "output": "negative" }, "36": { "input": "Satisfyingly scarifying, fresh and old-fashioned at the same time.", "output": "positive" }, "37": { "input": "A non-mystery mystery.", "output": "negative" }, "38": { "input": "Arguably the best script that Besson has written in years.", "output": "positive" }, "39": { "input": "Witless and utterly pointless.", "output": "negative" }, "40": { "input": "The cast delivers without sham the raw-nerved story.", "output": "positive" }, "41": { "input": "entertaining enough, but nothing new", "output": "negative" }, "42": { "input": "We get the comedy we settle for.", "output": "negative" }, "43": { "input": "...silly humbuggery...", "output": "negative" }, "44": { "input": "Too daft by half ... but supremely good natured.", "output": "positive" }, "45": { "input": "Spiderman ROCKS", "output": "positive" }, "46": { "input": "The title, alone, should scare any sane person away.", "output": "negative" }, "47": { "input": "The verdict: Two bodies and hardly a laugh between them.", "output": "negative" }, "48": { "input": "By its modest, straight-ahead standards, Undisputed scores a direct hit.", "output": "positive" }, "49": { "input": "Highly engaging.", "output": "positive" }, "50": { "input": "Video games are more involving than this mess.", "output": "negative" }, "51": { "input": "A marvel of production design.", "output": "positive" }, "52": { "input": "A poignant comedy that offers food for thought.", "output": "positive" }, "53": { "input": "...hokey art house pretension.", "output": "negative" }, "54": { "input": "Delivers roughly equal amounts of beautiful movement and inside information.", "output": "positive" }, "55": { "input": "The movie's blatant derivativeness is one reason it's so lackluster.", "output": "negative" }, "56": { "input": "Thought-provoking and stylish, if also somewhat hermetic.", "output": "positive" }, "57": { "input": "Strange and beautiful film.", "output": "positive" }, "58": { "input": "I've never bought from telemarketers, but I bought this movie.", "output": "positive" }, "59": { "input": "Painfully padded.", "output": "negative" }, "60": { "input": "Collapses under its own meager weight.", "output": "negative" }, "61": { "input": "Has a solid emotional impact.", "output": "positive" }, "62": { "input": "A Movie to Forget", "output": "negative" }, "63": { "input": "Bottom-rung New Jack City wannabe.", "output": "negative" }, "64": { "input": "Hoffman's performance is authentic to the core of his being.", "output": "positive" }, "65": { "input": "Horrible.", "output": "negative" }, "66": { "input": "Best indie of the year, so far.", "output": "positive" }, "67": { "input": "Well-meant but unoriginal.", "output": "negative" }, "68": { "input": "The cumulative effect of the movie is repulsive and depressing.", "output": "negative" }, "69": { "input": "Mordantly funny and intimately knowing ...", "output": "positive" }, "70": { "input": "Weighted down with slow, uninvolving storytelling and flat acting.", "output": "negative" }, "71": { "input": "A markedly inactive film, City is conversational bordering on confessional.", "output": "negative" }, "72": { "input": "...begins on a high note and sustains it beautifully.", "output": "positive" }, "73": { "input": "director Hoffman, his writer and Kline's agent should serve detention", "output": "negative" }, "74": { "input": "Guy gets girl, guy loses girl, audience falls asleep.", "output": "negative" }, "75": { "input": "the film never rises above a conventional, two dimension tale", "output": "negative" }, "76": { "input": "Laughably, irredeemably awful.", "output": "negative" }, "77": { "input": "Romantic, riveting and handsomely animated.", "output": "positive" }, "78": { "input": "A classy, sprightly spin on film.", "output": "positive" }, "79": { "input": "Witty, vibrant, and intelligent.", "output": "positive" }, "80": { "input": "Never once predictable.", "output": "positive" }, "81": { "input": "Harmless fun.", "output": "positive" }, "82": { "input": "...bibbidy-bobbidi-bland.", "output": "negative" }, "83": { "input": "A dull, inconsistent, dishonest female bonding picture.", "output": "negative" }, "84": { "input": "A compelling story of musical passion against governmental odds.", "output": "positive" }, "85": { "input": "Exciting documentary.", "output": "positive" }, "86": { "input": "Throw Smoochy from the train!", "output": "negative" }, "87": { "input": "A modestly surprising movie.", "output": "positive" }, "88": { "input": "The premise of Jason X is silly but strangely believable.", "output": "positive" }, "89": { "input": "This is a dark, gritty, sometimes funny little gem.", "output": "positive" }, "90": { "input": "A fairly harmless but ultimately lifeless feature-length afterschool special.", "output": "negative" }, "91": { "input": "Staggeringly dreadful romance.", "output": "negative" }, "92": { "input": "Final verdict: You've seen it all before.", "output": "negative" }, "93": { "input": "An enjoyable feel-good family comedy regardless of race.", "output": "positive" }, "94": { "input": "Oscar caliber cast doesn't live up to material", "output": "negative" }, "95": { "input": "It's funny, as the old saying goes, because it's true.", "output": "positive" }, "96": { "input": "The trashy teen-sleaze equivalent of Showgirls.", "output": "negative" }, "97": { "input": "Gooding offers a desperately ingratiating performance.", "output": "negative" }, "98": { "input": "Neatly constructed thriller.", "output": "positive" }, "99": { "input": "A chilling movie without oppressive gore.", "output": "positive" }, "100": { "input": "The story has little wit and no surprises.", "output": "negative" }, "101": { "input": "Its rawness and vitality give it considerable punch.", "output": "positive" }, "102": { "input": "A dazzling dream of a documentary.", "output": "positive" }, "103": { "input": "Manages to delight without much of a story.", "output": "positive" }, "104": { "input": "Enormously enjoyable, high-adrenaline documentary.", "output": "positive" }, "105": { "input": "A thought-provoking picture.", "output": "positive" }, "106": { "input": "Aggravating and tedious.", "output": "negative" }, "107": { "input": "A lot smarter than your average Bond.", "output": "positive" }, "108": { "input": "Too much power, not enough puff.", "output": "negative" }, "109": { "input": "She may not be real, but the laughs are.", "output": "positive" }, "110": { "input": "Entirely suspenseful, extremely well-paced and ultimately... dare I say, entertaining!", "output": "positive" }, "111": { "input": "...a solid, well-formed satire.", "output": "positive" }, "112": { "input": "Low comedy doesn't come much lower.", "output": "negative" }, "113": { "input": "A winning and wildly fascinating work.", "output": "positive" }, "114": { "input": "Rarely has a film's title served such dire warning.", "output": "negative" }, "115": { "input": "Works as pretty contagious fun.", "output": "positive" }, "116": { "input": "It's as if Allen, at 66, has stopped challenging himself.", "output": "negative" }, "117": { "input": "A small gem from Belgium.", "output": "positive" }, "118": { "input": "A gift to anyone who loves both dance and cinema", "output": "positive" }, "119": { "input": "Constantly slips from the grasp of its maker.", "output": "negative" }, "120": { "input": "Beautifully produced.", "output": "positive" }, "121": { "input": "Feels strangely hollow at its emotional core.", "output": "negative" }, "122": { "input": "Schrader examines Crane's decline with unblinking candor.", "output": "positive" }, "123": { "input": "Cinematic poo.", "output": "negative" }, "124": { "input": "By turns pretentious, fascinating, ludicrous, provocative and vainglorious.", "output": "positive" }, "125": { "input": "An effortlessly accomplished and richly resonant work.", "output": "positive" }, "126": { "input": "This is a truly, truly bad movie.", "output": "negative" }, "127": { "input": "A little better than Sorcerer's Stone.", "output": "positive" }, "128": { "input": "Ian Holm conquers France as an earthy Napoleon", "output": "positive" }, "129": { "input": "Manages to be wholesome and subversive at the same time.", "output": "positive" }, "130": { "input": "A manically generous Christmas vaudeville.", "output": "positive" }, "131": { "input": "What a pity ... that the material is so second-rate.", "output": "negative" }, "132": { "input": "Cusack's just brilliant in this.", "output": "positive" }, "133": { "input": "Pretty much sucks, but has a funny moment or two.", "output": "negative" }, "134": { "input": "Meticulously uncovers a trail of outrageous force and craven concealment.", "output": "positive" }, "135": { "input": "No surprises.", "output": "negative" }, "136": { "input": "An unexpectedly sweet story of sisterhood.", "output": "positive" }, "137": { "input": "Steers refreshingly clear of the usual cliches.", "output": "positive" }, "138": { "input": "Just another disjointed, fairly predictable psychological thriller.", "output": "negative" }, "139": { "input": "This is no ``Waterboy!''", "output": "negative" }, "140": { "input": "I liked this film a lot...", "output": "positive" }, "141": { "input": "Complex, sinuously plotted and, somehow, off-puttingly cold.", "output": "negative" }, "142": { "input": "A haunting tale of murder and mayhem.", "output": "positive" }, "143": { "input": "Ya-Yas everywhere will forgive the flaws and love the film.", "output": "positive" }, "144": { "input": "...quite good at providing some good old fashioned spooks.", "output": "positive" }, "145": { "input": "This is a superior horror flick.", "output": "positive" }, "146": { "input": "Skip the film and buy the Philip Glass soundtrack CD.", "output": "negative" }, "147": { "input": "A flick about our infantilized culture that isn't entirely infantile.", "output": "positive" }, "148": { "input": "A very charming and funny movie.", "output": "positive" }, "149": { "input": "... there's a choppy, surface-effect feeling to the whole enterprise.", "output": "negative" }, "150": { "input": "Michel Piccoli's moving performance is this films reason for being.", "output": "positive" }, "151": { "input": "As saccharine as it is disposable.", "output": "negative" }, "152": { "input": "overburdened with complicated plotting and banal dialogue", "output": "negative" }, "153": { "input": "Worth seeing just for Weaver and LaPaglia.", "output": "positive" }, "154": { "input": "An unsettling, memorable cinematic experience that does its predecessors proud.", "output": "positive" }, "155": { "input": "The most consistently funny of the Austin Powers films.", "output": "positive" }, "156": { "input": "Director David Fincher and writer David Koepp can't sustain it.", "output": "negative" }, "157": { "input": "A fifty car pileup of cliches.", "output": "negative" }, "158": { "input": "A penetrating, potent exploration of sanctimony, self-awareness, self-hatred and self-determination.", "output": "positive" }, "159": { "input": "An unsophisticated sci-fi drama that takes itself all too seriously.", "output": "negative" }, "160": { "input": "Allen's funniest and most likeable movie in years.", "output": "positive" }, "161": { "input": "Terrible.", "output": "negative" }, "162": { "input": "there is truth here", "output": "positive" }, "163": { "input": "It's technically sumptuous but also almost wildly alive.", "output": "positive" }, "164": { "input": "Meandering and confusing.", "output": "negative" }, "165": { "input": "Dramatically lackluster.", "output": "negative" }, "166": { "input": "A modest masterpiece.", "output": "positive" }, "167": { "input": "Resembles a soft porn Brian De Palma pastiche.", "output": "negative" }, "168": { "input": "Compellingly watchable.", "output": "positive" }, "169": { "input": "A domestic melodrama with weak dialogue and biopic cliches.", "output": "negative" }, "170": { "input": "It is definitely worth seeing.", "output": "positive" }, "171": { "input": "An opportunity missed.", "output": "negative" }, "172": { "input": "The film is full of charm.", "output": "positive" }, "173": { "input": "Tends to plod.", "output": "negative" }, "174": { "input": "A terrifically entertaining specimen of Spielbergian sci-fi.", "output": "positive" }, "175": { "input": "Full of surprises.", "output": "positive" }, "176": { "input": "Gets better after Foster leaves that little room.", "output": "positive" }, "177": { "input": "The problem, amazingly enough, is the screenplay.", "output": "negative" }, "178": { "input": "Flat, misguided comedy.", "output": "negative" }, "179": { "input": "This Orange has some juice, but it's far from fresh-squeezed.", "output": "negative" }, "180": { "input": "A quiet, disquieting triumph.", "output": "positive" }, "181": { "input": "Gently humorous and touching.", "output": "positive" }, "182": { "input": "It's pretentious in a way that verges on the amateurish.", "output": "negative" }, "183": { "input": "A banal, virulently unpleasant excuse for a romantic comedy.", "output": "negative" }, "184": { "input": "An average kid-empowerment fantasy with slightly above-average brains.", "output": "positive" }, "185": { "input": "Almost peerlessly unsettling.", "output": "negative" }, "186": { "input": "As pedestrian as they come.", "output": "negative" }, "187": { "input": "Surprisingly insightful", "output": "positive" }, "188": { "input": "Fluffy and disposible.", "output": "negative" }, "189": { "input": "In the end, there isn't much to it.", "output": "negative" }, "190": { "input": "Grant isn't Cary and Bullock isn't Katherine.", "output": "negative" }, "191": { "input": "``Sorority Boys'' was funnier, and that movie was pretty bad.", "output": "negative" }, "192": { "input": "Well-made but mush-hearted.", "output": "positive" }, "193": { "input": "The film is insightful about Kissinger's background and history.", "output": "positive" }, "194": { "input": "It's an 88-minute highlight reel that's 86 minutes too long.", "output": "negative" }, "195": { "input": "It's a sharp movie about otherwise dull subjects.", "output": "positive" }, "196": { "input": "Abysmally pathetic", "output": "negative" }, "197": { "input": "Quietly engaging.", "output": "positive" }, "198": { "input": "A reality-snubbing hodgepodge.", "output": "negative" }, "199": { "input": "Black-and-white and unrealistic.", "output": "negative" }, "200": { "input": "Strange it is, but delightfully so.", "output": "positive" }, "201": { "input": "The IMAX screen enhances the personal touch of manual animation.", "output": "positive" }, "202": { "input": "This is one of the outstanding thrillers of recent years.", "output": "positive" }, "203": { "input": "I liked it because it was so endlessly, grotesquely, inventive.", "output": "positive" }, "204": { "input": "The chocolate factory without Charlie.", "output": "negative" }, "205": { "input": "... a gleefully grungy, hilariously wicked black comedy ...", "output": "positive" }, "206": { "input": "A taut, sobering film.", "output": "positive" }, "207": { "input": "Goes on and on to the point of nausea.", "output": "negative" }, "208": { "input": "Ararat feels like a book report", "output": "negative" }, "209": { "input": "The film oozes craft.", "output": "positive" }, "210": { "input": "A film that loses sight of its own story.", "output": "negative" }, "211": { "input": "Seems like someone going through the motions.", "output": "negative" }, "212": { "input": "...one resurrection too many.", "output": "negative" }, "213": { "input": "... wise and elegiac ...", "output": "positive" }, "214": { "input": "Troubling and powerful.", "output": "positive" }, "215": { "input": "Not so much farcical as sour.", "output": "negative" }, "216": { "input": "Griffin & Co. manage to be spectacularly outrageous.", "output": "positive" }, "217": { "input": "A surprisingly sweet and gentle comedy.", "output": "positive" }, "218": { "input": "Darkly funny and frequently insightful.", "output": "positive" }, "219": { "input": "The fetid underbelly of fame has never looked uglier.", "output": "negative" }, "220": { "input": "The film proves unrelentingly grim -- and equally engrossing.", "output": "positive" }, "221": { "input": "The film is a verbal duel between two gifted performers.", "output": "positive" }, "222": { "input": "A flawed but engrossing thriller.", "output": "positive" }, "223": { "input": "...unlikable, uninteresting, unfunny, and completely, utterly inept.", "output": "negative" }, "224": { "input": "The comedy is nonexistent.", "output": "negative" }, "225": { "input": "Otto-Sallies has a real filmmaker's eye.", "output": "positive" }, "226": { "input": "I couldn't recommend this film more.", "output": "positive" }, "227": { "input": "These are textbook lives of quiet desperation.", "output": "negative" }, "228": { "input": "Often hilarious.", "output": "positive" }, "229": { "input": "Probably the best case for Christianity since Chesterton and Lewis.", "output": "positive" }, "230": { "input": "The action quickly sinks into by-the-numbers territory.", "output": "negative" }, "231": { "input": "Fluffy neo-noir hiding behind cutesy film references.", "output": "negative" }, "232": { "input": "...an hour-and-a-half of inoffensive, unmemorable filler.", "output": "negative" }, "233": { "input": "A sham construct based on theory, sleight-of-hand, and ill-wrought hypothesis.", "output": "negative" }, "234": { "input": "Your children will be occupied for 72 minutes.", "output": "positive" }, "235": { "input": "Snipes is both a snore and utter tripe.", "output": "negative" }, "236": { "input": "Another week, another gross-out college comedy--ugh.", "output": "negative" }, "237": { "input": "Assured, glossy and shot through with brittle desperation.", "output": "positive" }, "238": { "input": "Brilliantly written and well-acted, Yellow Asphalt is an uncompromising film.", "output": "positive" }, "239": { "input": "``Birthday Girl'' is an actor's movie first and foremost.", "output": "positive" }, "240": { "input": "Everything about The Quiet American is good, except its timing.", "output": "positive" }, "241": { "input": "A gangster movie with the capacity to surprise.", "output": "positive" }, "242": { "input": "A moving and not infrequently breathtaking film.", "output": "positive" }, "243": { "input": "Adaptation is simply brilliant.", "output": "positive" }, "244": { "input": "A delightful, if minor, pastry of a movie.", "output": "positive" }, "245": { "input": "This is one of the year's best films.", "output": "positive" }, "246": { "input": "A thoroughly enjoyable, heartfelt coming-of-age comedy.", "output": "positive" }, "247": { "input": "Everyone's to blame here.", "output": "negative" }, "248": { "input": "A truly wonderful tale combined with stunning animation.", "output": "positive" }, "249": { "input": "...although this idea is ``new'' the results are tired.", "output": "negative" }, "250": { "input": "Great over-the-top moviemaking if you're in a slap-happy mood.", "output": "positive" }, "251": { "input": "A no-holds-barred cinematic treat.", "output": "positive" }, "252": { "input": "Wise and deadpan humorous.", "output": "positive" }, "253": { "input": "The performances are uniformly good.", "output": "positive" }, "254": { "input": "Interesting and thoroughly unfaithful version of Carmen", "output": "positive" }, "255": { "input": "Warm and exotic.", "output": "positive" }, "256": { "input": "Crummy.", "output": "negative" }, "257": { "input": "At once disarmingly straightforward and strikingly devious.", "output": "positive" }, "258": { "input": "Provides a very moving and revelatory footnote to the Holocaust.", "output": "positive" }, "259": { "input": "An enthralling, entertaining feature.", "output": "positive" }, "260": { "input": "Woefully pretentious.", "output": "negative" }, "261": { "input": "The movie is a mess from start to finish.", "output": "negative" }, "262": { "input": "Believability wasn't one of the film's virtues.", "output": "negative" }, "263": { "input": "Drowning's too good for this sucker.", "output": "negative" }, "264": { "input": "An even more predictable, cliche-ridden endeavor than its predecessor.", "output": "negative" }, "265": { "input": "The first Bond movie in ages that isn't fake fun.", "output": "positive" }, "266": { "input": "A technical triumph and an extraordinary bore.", "output": "negative" }, "267": { "input": "Its director's most substantial feature for some time.", "output": "positive" }, "268": { "input": "A film that suffers because of its many excesses.", "output": "negative" }, "269": { "input": "It challenges, this nervy oddity, like modern art should.", "output": "positive" }, "270": { "input": "A true-blue delight.", "output": "positive" }, "271": { "input": "An entertaining, if ultimately minor, thriller.", "output": "positive" }, "272": { "input": "insightfully written, delicately performed", "output": "positive" }, "273": { "input": "It should be doing a lot of things, but doesn't.", "output": "negative" }, "274": { "input": "Ryan Gosling ... is at 22 a powerful young actor.", "output": "positive" }, "275": { "input": "Two hours of junk.", "output": "negative" }, "276": { "input": "Very predictable but still entertaining", "output": "positive" }, "277": { "input": "An impeccable study in perversity.", "output": "positive" }, "278": { "input": "The gags, and the script, are a mixed bag.", "output": "negative" }, "279": { "input": "A dull, dumb and derivative horror film.", "output": "negative" }, "280": { "input": "A small movie with a big heart.", "output": "positive" }, "281": { "input": "An emotionally strong and politically potent piece of cinema.", "output": "positive" }, "282": { "input": "A peculiar misfire that even Tunney can't save.", "output": "negative" }, "283": { "input": "Visually captivating.", "output": "positive" }, "284": { "input": "A bland animated sequel that hardly seems worth the effort.", "output": "negative" }, "285": { "input": "The film can depress you about life itself.", "output": "negative" }, "286": { "input": "Remarkable for its intelligence and intensity.", "output": "positive" }, "287": { "input": "It is quite a vision.", "output": "positive" }, "288": { "input": "A slick, engrossing melodrama.", "output": "positive" }, "289": { "input": "The worst film of the year.", "output": "negative" }, "290": { "input": "The Pianist is Polanski's best film.", "output": "positive" }, "291": { "input": "Alternately frustrating and rewarding.", "output": "positive" }, "292": { "input": "Great character interaction.", "output": "positive" }, "293": { "input": "It looks good, but it is essentially empty.", "output": "negative" }, "294": { "input": "A stylistic romp that's always fun to watch.", "output": "positive" }, "295": { "input": "Runs on the pure adrenalin of Pacino's performance.", "output": "positive" }, "296": { "input": "Funny and also heartwarming without stooping to gooeyness.", "output": "positive" }, "297": { "input": "Schneidermeister... Makin' a fool of himself... Losin' his fan base...", "output": "negative" }, "298": { "input": "Uplifting, funny and wise.", "output": "positive" }, "299": { "input": "An awkward hybrid of genres that just doesn't work.", "output": "negative" }, "300": { "input": "Despite its faults, Gangs excels in spectacle and pacing.", "output": "positive" }, "301": { "input": "The movie is amateurish, but it's a minor treat.", "output": "positive" }, "302": { "input": "Fantastic!", "output": "positive" }, "303": { "input": "A devastating indictment of unbridled greed and materalism.", "output": "negative" }, "304": { "input": "You watch for that sense of openness, the little surprises.", "output": "positive" }, "305": { "input": "``Red Dragon'' never cuts corners.", "output": "positive" }, "306": { "input": "Death might be a release.", "output": "negative" }, "307": { "input": "a bilingual charmer, just like the woman who inspired it", "output": "positive" }, "308": { "input": "There is greatness here.", "output": "positive" }, "309": { "input": "It looks closely, insightfully at fragile, complex relationships.", "output": "positive" }, "310": { "input": "Lacks dramatic punch and depth.", "output": "negative" }, "311": { "input": "A captivating new film.", "output": "positive" }, "312": { "input": "Dreary tale of middle-class angst", "output": "negative" }, "313": { "input": "The performances are an absolute joy.", "output": "positive" }, "314": { "input": "Both damning and damned compelling.", "output": "positive" }, "315": { "input": "The gags are often a stitch.", "output": "positive" }, "316": { "input": "It's refreshing to see a romance this smart.", "output": "positive" }, "317": { "input": "Two-bit potboiler.", "output": "negative" }, "318": { "input": "A cultural wildcard experience: wacky, different, unusual, even nutty.", "output": "positive" }, "319": { "input": "It's a masterpiece.", "output": "positive" }, "320": { "input": "A well-crafted letdown.", "output": "negative" }, "321": { "input": "Worth a look as a curiosity.", "output": "positive" }, "322": { "input": "Smarter than its commercials make it seem.", "output": "positive" }, "323": { "input": "As a film director, LaBute continues to improve.", "output": "positive" }, "324": { "input": "It's fun, splashy and entertainingly nasty.", "output": "positive" }, "325": { "input": "The Sweetest Thing leaves a bitter taste.", "output": "negative" }, "326": { "input": "Initially gripping, eventually cloying POW drama.", "output": "positive" }, "327": { "input": "An honest, sensitive story from a Vietnamese point of view.", "output": "positive" }, "328": { "input": "An inconsequential, barely there bit of piffle.", "output": "negative" }, "329": { "input": "Competently directed but terminally cute drama.", "output": "positive" }, "330": { "input": "Deserving of its critical backlash and more.", "output": "negative" }, "331": { "input": "Strangely comes off as a kingdom more mild than wild.", "output": "positive" }, "332": { "input": "Sweet and memorable film.", "output": "positive" }, "333": { "input": "It's a talking head documentary, but a great one.", "output": "positive" }, "334": { "input": "A high-minded snoozer.", "output": "negative" }, "335": { "input": "Two badly interlocked stories drowned by all too clever complexity.", "output": "negative" }, "336": { "input": "Steadfastly uncinematic but powerfully dramatic.", "output": "positive" }, "337": { "input": "A hypnotic portrait of this sad, compulsive life.", "output": "positive" }, "338": { "input": "It's just plain lurid when it isn't downright silly.", "output": "negative" }, "339": { "input": "...too sappy for its own good.", "output": "negative" }, "340": { "input": "Represents the depths to which the girls-behaving-badly film has fallen.", "output": "negative" }, "341": { "input": "A film that will enthrall the whole family.", "output": "positive" }, "342": { "input": "A real winner -- smart, funny, subtle, and resonant.", "output": "positive" }, "343": { "input": "Efficient, suitably anonymous chiller.", "output": "positive" }, "344": { "input": "An engrossing and infectiously enthusiastic documentary.", "output": "positive" }, "345": { "input": "...a pretentious mess...", "output": "negative" }, "346": { "input": "Not once does it come close to being exciting.", "output": "negative" }, "347": { "input": "Loud, silly, stupid and pointless.", "output": "negative" }, "348": { "input": "Very stupid and annoying.", "output": "negative" }, "349": { "input": "Dismally dull sci-fi comedy.", "output": "negative" }, "350": { "input": "Drumline ably captures the complicated relationships in a marching band.", "output": "positive" }, "351": { "input": "It's tough to be startled when you're almost dozing.", "output": "negative" }, "352": { "input": "This thing is just garbage.", "output": "negative" }, "353": { "input": "A smart, compelling drama.", "output": "positive" }, "354": { "input": "Utter mush... conceited pap.", "output": "negative" }, "355": { "input": "He's the scariest guy you'll see all summer.", "output": "positive" }, "356": { "input": "Chai's structure and pacing are disconcertingly slack.", "output": "negative" }, "357": { "input": "The film has a kind of hard, cold effect.", "output": "negative" }, "358": { "input": "Animated drivel meant to enhance the self-image of drooling idiots.", "output": "negative" }, "359": { "input": "A cutesy romantic tale with a twist.", "output": "positive" }, "360": { "input": "Inconsequential road-and-buddy pic.", "output": "negative" }, "361": { "input": "A lovably old-school Hollywood confection.", "output": "positive" }, "362": { "input": "An entertaining, if somewhat standardized, action movie.", "output": "positive" }, "363": { "input": "The writing is clever and the cast is appealing.", "output": "positive" }, "364": { "input": "What makes it worth watching is Quaid's performance.", "output": "positive" }, "365": { "input": "Thoroughly engrossing and ultimately tragic.", "output": "negative" }, "366": { "input": "It's a smartly directed, grown-up film of ideas.", "output": "positive" }, "367": { "input": "Overall tomfoolery like this is a matter of taste.", "output": "negative" }, "368": { "input": "Ill-considered, unholy hokum.", "output": "negative" }, "369": { "input": "Boisterous, heartfelt comedy.", "output": "positive" }, "370": { "input": "Laggard drama wending its way to an uninspired philosophical epiphany.", "output": "negative" }, "371": { "input": "Ferrara's best film in years.", "output": "positive" }, "372": { "input": "Terminally brain dead production.", "output": "negative" }, "373": { "input": "Polished, well-structured film.", "output": "positive" }, "374": { "input": "Glazed with a tawdry B-movie scum.", "output": "negative" }, "375": { "input": "A sharp, amusing study of the cult of celebrity.", "output": "positive" }, "376": { "input": "It'll keep you wide awake and ... very tense.", "output": "positive" }, "377": { "input": "Funny and touching.", "output": "positive" }, "378": { "input": "A less-than-thrilling thriller.", "output": "negative" }, "379": { "input": "This is a finely written, superbly acted offbeat thriller.", "output": "positive" }, "380": { "input": "There are no special effects, and no Hollywood endings.", "output": "positive" }, "381": { "input": "A three-hour cinema master class.", "output": "positive" }, "382": { "input": "Truly terrible.", "output": "negative" }, "383": { "input": "Suffers from all the excesses of the genre.", "output": "negative" }, "384": { "input": "There's lots of cool stuff packed into ESPN's Ultimate X.", "output": "positive" }, "385": { "input": "Lurid and less than lucid work.", "output": "negative" }, "386": { "input": "We've liked Klein's other work but Rollerball left us cold.", "output": "negative" }, "387": { "input": "Witless, pointless, tasteless and idiotic.", "output": "negative" }, "388": { "input": "Manages to be both hugely entertaining and uplifting.", "output": "positive" }, "389": { "input": "Old-fashioned but thoroughly satisfying entertainment.", "output": "positive" }, "390": { "input": "Certainly the performances are worthwhile.", "output": "positive" }, "391": { "input": "Too bland and fustily tasteful to be truly prurient.", "output": "negative" }, "392": { "input": "Impostor is a step down for director Gary Fleder.", "output": "negative" }, "393": { "input": "Constantly touching, surprisingly funny, semi-surrealist exploration of the creative act.", "output": "positive" }, "394": { "input": "A riveting documentary.", "output": "positive" }, "395": { "input": "An uplifting, near-masterpiece.", "output": "positive" }, "396": { "input": "An odd, haphazard, and inconsequential romantic comedy.", "output": "negative" }, "397": { "input": "I haven't seen such self-amused trash since Freddy Got Fingered.", "output": "negative" }, "398": { "input": "It never rises to its clever what-if concept.", "output": "negative" }, "399": { "input": "Enriched by a strong and unforced supporting cast.", "output": "positive" }, "400": { "input": "A rather tired exercise in nostalgia.", "output": "negative" }, "401": { "input": "Refreshing.", "output": "positive" }, "402": { "input": "Nothing short of a masterpiece -- and a challenging one.", "output": "positive" }, "403": { "input": "A loud, brash and mainly unfunny high school comedy.", "output": "negative" }, "404": { "input": "The story ultimately takes hold and grips hard.", "output": "positive" }, "405": { "input": "At times, it actually hurts to watch.", "output": "negative" }, "406": { "input": "Aan opportunity wasted.", "output": "negative" }, "407": { "input": "An awkwardly contrived exercise in magic realism.", "output": "negative" }, "408": { "input": "Perhaps the best sports movie I've ever seen.", "output": "positive" }, "409": { "input": "I'd rather watch a rerun of The Powerpuff Girls", "output": "negative" }, "410": { "input": "A wild, endearing, masterful documentary.", "output": "positive" }, "411": { "input": "A horrible, 99-minute stink bomb.", "output": "negative" }, "412": { "input": "...a movie that, quite simply, shouldn't have been made.", "output": "negative" }, "413": { "input": "One of the worst films of 2002.", "output": "negative" }, "414": { "input": "Long on twinkly-eyed close-ups and short on shame.", "output": "negative" }, "415": { "input": "Thoroughly awful.", "output": "negative" }, "416": { "input": "An ugly, pointless, stupid movie.", "output": "negative" }, "417": { "input": "Norton is magnetic as Graham.", "output": "positive" }, "418": { "input": "A rehash of every gangster movie from the past decade.", "output": "negative" }, "419": { "input": "It's all surface psychodramatics.", "output": "negative" }, "420": { "input": "Despite all the closed-door hanky-panky, the film is essentially juiceless.", "output": "negative" }, "421": { "input": "A backstage must-see for true fans of comedy.", "output": "positive" }, "422": { "input": "TV skit-com material fervently deposited on the big screen.", "output": "negative" }, "423": { "input": "Idiotic and ugly.", "output": "negative" }, "424": { "input": "Ear-splitting exercise in formula crash-and-bash action.", "output": "negative" }, "425": { "input": "A pale Xerox of other, better crime movies.", "output": "negative" }, "426": { "input": "The movie is as padded as Allen's jelly belly.", "output": "negative" }, "427": { "input": "Doesn't really add up to much.", "output": "negative" }, "428": { "input": "Wow, so who knew Charles Dickens could be so light-hearted?", "output": "positive" }, "429": { "input": "It's mildly amusing, but I certainly can't recommend it.", "output": "negative" }, "430": { "input": "A witty, low-key romantic comedy.", "output": "positive" }, "431": { "input": "Rubbo's humorously tendentious intervention into the who-wrote-Shakespeare controversy.", "output": "positive" }, "432": { "input": "It's one long bore.", "output": "negative" }, "433": { "input": "A small movie with a big impact.", "output": "positive" }, "434": { "input": "Incoherence reigns.", "output": "negative" }, "435": { "input": "What I saw, I enjoyed.", "output": "positive" }, "436": { "input": "An amateurish, quasi-improvised acting exercise shot on ugly digital video.", "output": "negative" }, "437": { "input": "A dreary movie.", "output": "negative" }, "438": { "input": "Too slick and manufactured to claim street credibility.", "output": "negative" }, "439": { "input": "Consummate actor Barry has done excellent work here.", "output": "positive" }, "440": { "input": "An elegant and sly deadpan comedy.", "output": "positive" }, "441": { "input": "An enjoyable above average summer diversion.", "output": "positive" }, "442": { "input": "... manages to deliver a fair bit of vampire fun.", "output": "positive" }, "443": { "input": "A wry, affectionate delight.", "output": "positive" }, "444": { "input": "The problem with all of this: It's not really funny.", "output": "negative" }, "445": { "input": "The best film of the year 2002.", "output": "positive" }, "446": { "input": "The bottom line is the piece works brilliantly.", "output": "positive" }, "447": { "input": "Charming and witty, it's also somewhat clumsy.", "output": "positive" }, "448": { "input": "Pleasant but not more than recycled jock piffle.", "output": "negative" }, "449": { "input": "A triumph of pure craft and passionate heart.", "output": "positive" }, "450": { "input": "A bright, inventive, thoroughly winning flight of revisionist fancy.", "output": "positive" }, "451": { "input": "Thoroughly enjoyable.", "output": "positive" }, "452": { "input": "This quiet, introspective and entertaining independent is worth seeking.", "output": "positive" }, "453": { "input": "The script is high on squaddie banter, low on shocks.", "output": "positive" }, "454": { "input": "Wishy-washy.", "output": "negative" }, "455": { "input": "Simplistic, silly and tedious.", "output": "negative" }, "456": { "input": "If only Merchant paid more attention the story.", "output": "negative" }, "457": { "input": "Feral and uncomfortable.", "output": "negative" }, "458": { "input": "Caviezel embodies the transformation of his character completely.", "output": "positive" }, "459": { "input": "Tense, terrific, sweaty-palmed fun.", "output": "positive" }, "460": { "input": "A fun ride.", "output": "positive" }, "461": { "input": "Many insightful moments.", "output": "positive" }, "462": { "input": "... very funny, very enjoyable ...", "output": "positive" }, "463": { "input": "By-the-numbers yarn.", "output": "negative" }, "464": { "input": "Everything is off.", "output": "negative" }, "465": { "input": "A gripping drama.", "output": "positive" }, "466": { "input": "A prolonged extrusion of psychopathic pulp.", "output": "negative" }, "467": { "input": "Sensual, funny and, in the end, very touching.", "output": "positive" }, "468": { "input": "It's not original enough.", "output": "negative" }, "469": { "input": "What a dumb, fun, curiously adolescent movie this is.", "output": "positive" }, "470": { "input": "Woody, what happened?", "output": "negative" }, "471": { "input": "A witty, whimsical feature debut.", "output": "positive" }, "472": { "input": "A bodice-ripper for intellectuals.", "output": "positive" }, "473": { "input": "A genuine mind-bender.", "output": "positive" }, "474": { "input": "Narratively, Trouble Every Day is a plodding mess.", "output": "negative" }, "475": { "input": "A captivating and intimate study about dying and loving...", "output": "positive" }, "476": { "input": "There's no reason to miss Interview with the Assassin", "output": "positive" }, "477": { "input": "The whole talking-animal thing is grisly.", "output": "negative" }, "478": { "input": "Twohy's a good yarn-spinner, and ultimately the story compels.", "output": "positive" }, "479": { "input": "The Hanukkah spirit seems fried in pork.", "output": "negative" }, "480": { "input": "Sexy and romantic.", "output": "positive" }, "481": { "input": "An exceptionally acted, quietly affecting cop drama.", "output": "positive" }, "482": { "input": "A smart, sassy and exceptionally charming romantic comedy.", "output": "positive" }, "483": { "input": "A thought-provoking and often-funny drama about isolation.", "output": "positive" }, "484": { "input": "Pray has really done his subject justice.", "output": "positive" }, "485": { "input": "A tasty appetizer that leaves you wanting more.", "output": "positive" }, "486": { "input": "It's weird, wonderful, and not necessarily for kids.", "output": "positive" }, "487": { "input": "Highly watchable stuff.", "output": "positive" }, "488": { "input": "Piccoli gives a superb performance full of deep feeling.", "output": "positive" }, "489": { "input": "Predictably soulless techno-tripe.", "output": "negative" }, "490": { "input": "Uneven but a lot of fun.", "output": "positive" }, "491": { "input": "Another boorish movie from the I-heard-a-joke- at-a-frat-party school of screenwriting.", "output": "negative" }, "492": { "input": "classic cinema served up with heart and humor", "output": "positive" }, "493": { "input": "Deliciously slow.", "output": "positive" }, "494": { "input": "The film is small in scope, yet perfectly formed.", "output": "positive" }, "495": { "input": "Jackson is always watchable.", "output": "positive" }, "496": { "input": "One of the most slyly exquisite anti-adult movies ever made.", "output": "positive" }, "497": { "input": "Bluto Blutarsky, we miss you.", "output": "positive" }, "498": { "input": "The all-French cast is marveilleux.", "output": "positive" }, "499": { "input": "Degenerates into hogwash.", "output": "negative" }, "500": { "input": "A retread of material already thoroughly plumbed by Martin Scorsese.", "output": "negative" }, "501": { "input": "A finely tuned mood piece, a model of menacing atmosphere.", "output": "positive" }, "502": { "input": "His work transcends the boy-meets-girl posturing of typical love stories.", "output": "positive" }, "503": { "input": "Technically and artistically inept.", "output": "negative" }, "504": { "input": "...the plot weaves us into a complex web.", "output": "positive" }, "505": { "input": "Marvelously entertaining and deliriously joyous documentary.", "output": "positive" }, "506": { "input": "Low rent from frame one.", "output": "negative" }, "507": { "input": "plays like some corny television production from a bygone era", "output": "negative" }, "508": { "input": "A little weak -- and it isn't that funny.", "output": "negative" }, "509": { "input": "A noble failure.", "output": "negative" }, "510": { "input": "There's not a comedic moment in this romantic comedy.", "output": "negative" }, "511": { "input": "A big, loud, bang-the-drum bore.", "output": "negative" }, "512": { "input": "Good-naturedly cornball sequel.", "output": "positive" }, "513": { "input": "The closest thing to the experience of space travel", "output": "positive" }, "514": { "input": "A tone poem of transgression.", "output": "positive" }, "515": { "input": "Execrable.", "output": "negative" }, "516": { "input": "an admirable, sometimes exceptional film", "output": "positive" }, "517": { "input": "A derivative collection of horror and sci-fi cliches.", "output": "negative" }, "518": { "input": "A particularly joyless, and exceedingly dull, period coming-of-age tale.", "output": "negative" }, "519": { "input": "One of the best movies of the year.", "output": "positive" }, "520": { "input": "One of the best inside-show-biz yarns ever.", "output": "positive" }, "521": { "input": "A timid, soggy near miss.", "output": "negative" }, "522": { "input": "The movie is so thoughtlessly assembled.", "output": "positive" }, "523": { "input": "Lacks depth.", "output": "negative" }, "524": { "input": "A sensitive, moving, brilliantly constructed work.", "output": "positive" }, "525": { "input": "...hypnotically dull.", "output": "negative" }, "526": { "input": "Brisk hack job.", "output": "negative" }, "527": { "input": "It trusts the story it sets out to tell.", "output": "positive" }, "528": { "input": "...could easily be called the best Korean film of 2002.", "output": "positive" }, "529": { "input": "A humorless journey into a philosophical void.", "output": "negative" }, "530": { "input": "Family fare.", "output": "positive" }, "531": { "input": "A gem of a movie.", "output": "positive" }, "532": { "input": "A complete waste of time.", "output": "negative" }, "533": { "input": "Friday After Next is a lot more bluster than bite.", "output": "negative" }, "534": { "input": "Lightweight but appealing.", "output": "positive" }, "535": { "input": "These characters become wearisome.", "output": "negative" }, "536": { "input": "Cold, pretentious, thoroughly dislikable study in sociopathy.", "output": "negative" }, "537": { "input": "A characteristically engorged and sloppy coming-of-age movie.", "output": "negative" }, "538": { "input": "A beautiful paean to a time long past.", "output": "positive" }, "539": { "input": "A beautifully observed character piece.", "output": "positive" }, "540": { "input": "A movie of riveting power and sadness.", "output": "positive" }, "541": { "input": "Gives everyone something to shout about.", "output": "positive" }, "542": { "input": "A minor-league soccer remake of The Longest Yard.", "output": "negative" }, "543": { "input": "As a science fiction movie, ``Minority Report'' astounds.", "output": "positive" }, "544": { "input": "Really quite funny.", "output": "positive" }, "545": { "input": "Parents beware; this is downright movie penance.", "output": "negative" }, "546": { "input": "An enjoyable, if occasionally flawed, experiment.", "output": "positive" }, "547": { "input": "Fierce, glaring and unforgettable.", "output": "positive" }, "548": { "input": "There's nothing interesting in Unfaithful whatsoever.", "output": "negative" }, "549": { "input": "It is bad, but certainly not without merit as entertainment.", "output": "negative" }, "550": { "input": "An exhilarating experience.", "output": "positive" }, "551": { "input": "An average B-movie with no aspirations to be anything more.", "output": "negative" }, "552": { "input": "The story is bogus and its characters tissue-thin.", "output": "negative" }, "553": { "input": "By turns numbingly dull-witted and disquietingly creepy.", "output": "negative" }, "554": { "input": "The movie doesn't add anything fresh to the myth.", "output": "negative" }, "555": { "input": "A lovely film for the holiday season.", "output": "positive" }, "556": { "input": "Parris' performance is credible and remarkably mature.", "output": "positive" }, "557": { "input": "Rarely has sex on screen been so aggressively anti-erotic.", "output": "negative" }, "558": { "input": "Just too silly and sophomoric to ensnare its target audience.", "output": "negative" }, "559": { "input": "Cold, nervy and memorable.", "output": "positive" }, "560": { "input": "An unsuccessful attempt at a movie of ideas.", "output": "negative" }, "561": { "input": "Boy, has this franchise ever run out of gas.", "output": "negative" }, "562": { "input": "Every note rings false.", "output": "negative" }, "563": { "input": "Generates an enormous feeling of empathy for its characters.", "output": "positive" }, "564": { "input": "Jones has delivered a solidly entertaining and moving family drama.", "output": "positive" }, "565": { "input": "It's a road-trip drama with too many wrong turns.", "output": "negative" }, "566": { "input": "Like the chilled breath of oral storytelling frozen onto film.", "output": "positive" }, "567": { "input": "Spare but quietly effective retelling.", "output": "positive" }, "568": { "input": "It drowns in sap.", "output": "negative" }, "569": { "input": "Certainly not a good movie, but it wasn't horrible either.", "output": "negative" }, "570": { "input": "an original and highly cerebral examination of the psychopathic mind", "output": "positive" }, "571": { "input": "It's quite diverting nonsense.", "output": "negative" }, "572": { "input": "Pompous and garbled.", "output": "negative" }, "573": { "input": "An extraordinary dramatic experience.", "output": "positive" }, "574": { "input": "Slap me, I saw this movie.", "output": "negative" }, "575": { "input": "A moving and important film.", "output": "positive" }, "576": { "input": "A terrible movie that some people will nevertheless find moving.", "output": "negative" }, "577": { "input": "Bill Morrison's Decasia is uncompromising, difficult and unbearably beautiful.", "output": "positive" }, "578": { "input": "A smart, arch and rather cold-blooded comedy.", "output": "positive" }, "579": { "input": "As it turns out, you can go home again.", "output": "positive" }, "580": { "input": "An edgy thriller that delivers a surprising punch.", "output": "positive" }, "581": { "input": "It's unlikely we'll see a better thriller this year.", "output": "positive" }, "582": { "input": "The performances are immaculate, with Roussillon providing comic relief.", "output": "positive" }, "583": { "input": "An impressive hybrid.", "output": "positive" }, "584": { "input": "Like its bizarre heroine, it irrigates our souls.", "output": "positive" }, "585": { "input": "It's leaden and predictable, and laughs are lacking.", "output": "negative" }, "586": { "input": "An undistinguished attempt to make a classic theater piece cinematic.", "output": "negative" }, "587": { "input": "...a bland murder-on-campus yawner.", "output": "negative" }, "588": { "input": "Smart and taut.", "output": "positive" }, "589": { "input": "Noyce has worked wonders with the material.", "output": "positive" }, "590": { "input": "...really horrible drek.", "output": "negative" }, "591": { "input": "Fairly run-of-the-mill.", "output": "negative" }, "592": { "input": "The movie is well done, but slow.", "output": "negative" }, "593": { "input": "...no charm, no laughs, no fun, no reason to watch.", "output": "negative" }, "594": { "input": "By turns fanciful, grisly and engagingly quixotic.", "output": "positive" }, "595": { "input": "A great companion piece to other Napoleon films.", "output": "positive" }, "596": { "input": "Too infuriatingly quirky and taken with its own style.", "output": "negative" }, "597": { "input": "Nearly every attempt at humor here is DOA.", "output": "negative" }, "598": { "input": "``The best Disney movie since the Lion King''", "output": "positive" }, "599": { "input": "Chaiken ably balances real-time rhythms with propulsive incident.", "output": "positive" }, "600": { "input": "A terrific date movie, whatever your orientation.", "output": "positive" }, "601": { "input": "As lively an account as Seinfeld is deadpan.", "output": "negative" }, "602": { "input": "A wild ride of a movie that keeps throwing fastballs.", "output": "positive" }, "603": { "input": "By turns very dark and very funny.", "output": "positive" }, "604": { "input": "It's tough to watch, but it's a fantastic movie.", "output": "positive" }, "605": { "input": "You're not merely watching history, you're engulfed by it.", "output": "positive" }, "606": { "input": "Peppered with witty dialogue and inventive moments.", "output": "positive" }, "607": { "input": "The most ingenious film comedy since Being John Malkovich.", "output": "positive" }, "608": { "input": "Kapur weighs down the tale with bogus profundities.", "output": "negative" }, "609": { "input": "None of Birthday Girl's calculated events take us by surprise...", "output": "negative" }, "610": { "input": "It's like an all-star salute to Disney's cheesy commercialism.", "output": "negative" }, "611": { "input": "Speaks eloquently about the symbiotic relationship between art and life.", "output": "positive" }, "612": { "input": "There's more repetition than creativity throughout the movie.", "output": "negative" }, "613": { "input": "A terrific insider look at the star-making machinery of tinseltown.", "output": "positive" }, "614": { "input": "A funny film.", "output": "positive" }, "615": { "input": "A certain sexiness underlines even the dullest tangents.", "output": "positive" }, "616": { "input": "A thoroughly engaging, surprisingly touching British comedy.", "output": "positive" }, "617": { "input": "One-of-a-kind near-masterpiece.", "output": "positive" }, "618": { "input": "Slight but enjoyable documentary.", "output": "positive" }, "619": { "input": "A film without surprise geared toward maximum comfort and familiarity.", "output": "negative" }, "620": { "input": "Too clever by about nine-tenths.", "output": "positive" }, "621": { "input": "A French film with a more down-home flavor.", "output": "positive" }, "622": { "input": "Poetic, heartbreaking.", "output": "positive" }, "623": { "input": "Worthy of the gong.", "output": "negative" }, "624": { "input": "This 10th film in the series looks and feels tired.", "output": "negative" }, "625": { "input": "Unwieldy contraption.", "output": "negative" }, "626": { "input": "more precious than perspicacious", "output": "positive" }, "627": { "input": "...bright, intelligent, and humanly funny film.", "output": "positive" }, "628": { "input": "The feature-length stretch ... strains the show's concept.", "output": "negative" }, "629": { "input": "Quite simply, a joy to watch and--especially--to listen to.", "output": "positive" }, "630": { "input": "It's sweet, funny, charming, and completely delightful.", "output": "positive" }, "631": { "input": "One of the greatest films I've ever seen.", "output": "positive" }, "632": { "input": "I loved the look of this film.", "output": "positive" }, "633": { "input": "Blessed with two fine, nuanced lead performances.", "output": "positive" }, "634": { "input": "A remarkable film by Bernard Rose.", "output": "positive" }, "635": { "input": "A feeble Tootsie knockoff.", "output": "negative" }, "636": { "input": "The entire cast is extraordinarily good.", "output": "positive" }, "637": { "input": "The formula is familiar but enjoyable.", "output": "positive" }, "638": { "input": "...unbearably lame.", "output": "negative" }, "639": { "input": "Been there, done that... a thousand times already, and better.", "output": "negative" }, "640": { "input": "A quaint, romanticized rendering.", "output": "positive" }, "641": { "input": "A generic international version of a typical American horror film.", "output": "negative" }, "642": { "input": "Handsome and sophisticated approach to the workplace romantic comedy.", "output": "positive" }, "643": { "input": "...one of the most entertaining monster movies in ages...", "output": "positive" }, "644": { "input": "An almost unbearably morbid love story.", "output": "negative" }, "645": { "input": "All in all, a great party.", "output": "positive" }, "646": { "input": "...stale and uninspired.", "output": "negative" }, "647": { "input": "Significantly better than its 2002 children's-movie competition.", "output": "positive" }, "648": { "input": "under-rehearsed and lifeless", "output": "negative" }, "649": { "input": "Even the digressions are funny.", "output": "positive" }, "650": { "input": "Stale, futile scenario.", "output": "negative" }, "651": { "input": "Far more enjoyable than its predecessor.", "output": "positive" }, "652": { "input": "Visually striking and viscerally repellent.", "output": "positive" }, "653": { "input": "A lame comedy.", "output": "negative" }, "654": { "input": "Its engaging simplicity is driven by appealing leads.", "output": "positive" }, "655": { "input": "A pleasing, often-funny comedy.", "output": "positive" }, "656": { "input": "Lame Sweet Home leaves no Southern stereotype unturned.", "output": "negative" }, "657": { "input": "Sweetly sexy, funny and touching.", "output": "positive" }, "658": { "input": "Go, girls, right down the reality drain.", "output": "negative" }, "659": { "input": "Just a Kiss is a just a waste.", "output": "negative" }, "660": { "input": "An imponderably stilted and self-consciously arty movie.", "output": "negative" }, "661": { "input": "... better described as a ghost story gone badly awry.", "output": "negative" }, "662": { "input": "A vibrant, colorful, semimusical rendition.", "output": "positive" }, "663": { "input": "This is Christmas Future for a lot of baby boomers.", "output": "positive" }, "664": { "input": "Deflated ending aside, there's much to recommend the film.", "output": "positive" }, "665": { "input": "A riveting story well told.", "output": "positive" }, "666": { "input": "Journalistically dubious, inept and often lethally dull.", "output": "negative" }, "667": { "input": "A solidly entertaining little film.", "output": "positive" }, "668": { "input": "To Blandly Go Where We Went 8 Movies Ago ...", "output": "negative" }, "669": { "input": "The plot's contrivances are uncomfortably strained.", "output": "negative" }, "670": { "input": "Even better than the first one!", "output": "positive" }, "671": { "input": "Eerily accurate depiction of depression.", "output": "negative" }, "672": { "input": "It's a wonderful, sobering, heart-felt drama.", "output": "positive" }, "673": { "input": "Gangster No. 1 is solid, satisfying fare for adults.", "output": "positive" }, "674": { "input": "A loquacious and dreary piece of business.", "output": "negative" }, "675": { "input": "Doesn't add up to much.", "output": "negative" }, "676": { "input": "Chalk it up as the worst kind of hubristic folly.", "output": "negative" }, "677": { "input": "Too much of Nemesis has a tired, talky feel.", "output": "negative" }, "678": { "input": "It's just rather leaden and dull.", "output": "negative" }, "679": { "input": "Has the capability of effecting change and inspiring hope.", "output": "positive" }, "680": { "input": "Top-notch action powers this romantic drama.", "output": "positive" }, "681": { "input": "A portrait of hell so shattering it's impossible to shake.", "output": "positive" }, "682": { "input": "Assayas' ambitious, sometimes beautiful adaptation of Jacques Chardonne's novel.", "output": "positive" }, "683": { "input": "Shrewd but pointless.", "output": "negative" }, "684": { "input": "A chiller resolutely without chills.", "output": "negative" }, "685": { "input": "Exhilarating but blatantly biased.", "output": "positive" }, "686": { "input": "Psychologically revealing.", "output": "positive" }, "687": { "input": "Tsai convincingly paints a specifically urban sense of disassociation here.", "output": "positive" }, "688": { "input": "We want the funk - and this movie's got it.", "output": "positive" }, "689": { "input": "Allen's underestimated charm delivers more goodies than lumps of coal.", "output": "positive" }, "690": { "input": "It's depressing to see how far Herzog has fallen.", "output": "negative" }, "691": { "input": "More a gunfest than a Rock concert.", "output": "negative" }, "692": { "input": "Bland but harmless.", "output": "negative" }, "693": { "input": "Phoned-in business as usual.", "output": "negative" }, "694": { "input": "A low-rent retread of the Alien pictures.", "output": "negative" }, "695": { "input": "Maryam is more timely now than ever.", "output": "positive" }, "696": { "input": "The script is smart, not cloying.", "output": "positive" }, "697": { "input": "It's never dull and always looks good.", "output": "positive" }, "698": { "input": "A gentle and engrossing character study.", "output": "positive" }, "699": { "input": "A sentimental but entirely irresistible portrait of three aging sisters.", "output": "positive" }, "700": { "input": "A yawn-provoking little farm melodrama.", "output": "negative" }, "701": { "input": "Feels like a cold old man going through the motions.", "output": "negative" }, "702": { "input": "I found it slow, predictable and not very amusing.", "output": "negative" }, "703": { "input": "Kudos to the most enchanting film of the year.", "output": "positive" }, "704": { "input": "You will likely prefer to keep on watching.", "output": "positive" }, "705": { "input": "Overly long and worshipful bio-doc.", "output": "negative" }, "706": { "input": "Narc is all menace and atmosphere.", "output": "negative" }, "707": { "input": "Insufferably naive.", "output": "negative" }, "708": { "input": "Its initial excitement settles into a warmed over pastiche.", "output": "negative" }, "709": { "input": "Hardly a film that comes along every day.", "output": "positive" }, "710": { "input": "Third time's the charm...yeah, baby!", "output": "positive" }, "711": { "input": "Bad and baffling from the get-go.", "output": "negative" }, "712": { "input": "It's funny, touching, dramatically forceful, and beautifully shot.", "output": "positive" }, "713": { "input": "Leaks treacle from every pore.", "output": "negative" }, "714": { "input": "The film has several strong performances.", "output": "positive" }, "715": { "input": "Good, solid storytelling.", "output": "positive" }, "716": { "input": "If you've the patience, there are great rewards here.", "output": "positive" }, "717": { "input": "A major waste...generic.", "output": "negative" }, "718": { "input": "A bad movie that happened to good actors.", "output": "negative" }, "719": { "input": "Intensely romantic, thought-provoking and even an engaging mystery.", "output": "positive" }, "720": { "input": "A half-assed film.", "output": "negative" }, "721": { "input": "An authentically vague, but ultimately purposeless, study in total pandemonium.", "output": "negative" }, "722": { "input": "Bielinsky is a filmmaker of impressive talent.", "output": "positive" }, "723": { "input": "Takashi Miike keeps pushing the envelope: Ichi the Killer", "output": "positive" }, "724": { "input": "A brisk, reverent, and subtly different sequel.", "output": "positive" }, "725": { "input": "Has all the scenic appeal of a cesspool.", "output": "negative" }, "726": { "input": "Sleek and arty.", "output": "positive" }, "727": { "input": "Meyjes's movie, like Max Rothman's future, does not work.", "output": "negative" }, "728": { "input": "It's a barely tolerable slog over well-trod ground.", "output": "negative" }, "729": { "input": "Vaguely interesting, but it's just too too much.", "output": "negative" }, "730": { "input": "Interminably bleak, to say nothing of boring.", "output": "negative" }, "731": { "input": "Loud, chaotic and largely unfunny.", "output": "negative" }, "732": { "input": "Inventive, fun, intoxicatingly sexy, violent, self-indulgent and maddening.", "output": "positive" }, "733": { "input": "Awesome work: ineffable, elusive, yet inexplicably powerful", "output": "positive" }, "734": { "input": "Sly, sophisticated and surprising.", "output": "positive" }, "735": { "input": "Demonstrates the unusual power of thoughtful, subjective filmmaking.", "output": "positive" }, "736": { "input": "There is no denying the power of Polanski's film...", "output": "positive" }, "737": { "input": "Nettelbeck ... has a pleasing way with a metaphor.", "output": "positive" }, "738": { "input": "Priggish, lethargically paced parable of renewal.", "output": "negative" }, "739": { "input": "It's got the brawn, but not the brains.", "output": "negative" }, "740": { "input": "Pretty good little movie.", "output": "positive" }, "741": { "input": "Shyamalan should stop trying to please his mom.", "output": "negative" }, "742": { "input": "There is nothing redeeming about this movie.", "output": "negative" }, "743": { "input": "Forget the misleading title, what's with the unexplained baboon cameo?", "output": "negative" }, "744": { "input": "A tasty masala.", "output": "positive" }, "745": { "input": "A sensitive and astute first feature by Anne-Sophie Birot.", "output": "positive" }, "746": { "input": "Press the delete key.", "output": "negative" }, "747": { "input": "Neither revelatory nor truly edgy--merely crassly flamboyant and comedically labored.", "output": "negative" }, "748": { "input": "It is refreshingly undogmatic about its characters.", "output": "positive" }, "749": { "input": "The entire cast is first-rate, especially Sorvino.", "output": "positive" }, "750": { "input": "Get out your pooper-scoopers.", "output": "negative" }, "751": { "input": "You can practically hear George Orwell turning over.", "output": "negative" }, "752": { "input": "Make like the title and dodge this one.", "output": "negative" }, "753": { "input": "Kitschy, flashy, overlong soap opera.", "output": "negative" }, "754": { "input": "A forceful drama of an alienated executive who re-invents himself.", "output": "positive" }, "755": { "input": "Fulford-Wierzbicki ... deftly captures the wise-beyond-her-years teen.", "output": "positive" }, "756": { "input": "Williams absolutely nails Sy's queasy infatuation and overall strangeness.", "output": "positive" }, "757": { "input": "An absurdist spider web.", "output": "negative" }, "758": { "input": "A modestly made but profoundly moving documentary.", "output": "positive" }, "759": { "input": "Discursive but oddly riveting documentary.", "output": "positive" }, "760": { "input": "Consistently clever and suspenseful.", "output": "positive" }, "761": { "input": "The Sweetest Thing leaves an awful sour taste.", "output": "negative" }, "762": { "input": "Imagine Susan Sontag falling in love with Howard Stern.", "output": "negative" }, "763": { "input": "Quitting offers piercing domestic drama with spikes of sly humor.", "output": "positive" }, "764": { "input": "A muted freak-out", "output": "negative" }, "765": { "input": "Catch it... if you can!", "output": "positive" }, "766": { "input": "Witty, contemplative, and sublimely beautiful.", "output": "positive" }, "767": { "input": "Another useless recycling of a brutal mid-'70s American sports movie.", "output": "negative" }, "768": { "input": "A depraved, incoherent, instantly disposable piece of hackery.", "output": "negative" }, "769": { "input": "A really good premise is frittered away in middle-of-the-road blandness.", "output": "negative" }, "770": { "input": "Bouquet gives a performance that is masterly.", "output": "positive" }, "771": { "input": "This thing works on no level whatsoever for me.", "output": "negative" }, "772": { "input": "An hour and a half of joyful solo performance.", "output": "positive" }, "773": { "input": "A listless and desultory affair.", "output": "negative" }, "774": { "input": "Ponderous, plodding soap opera disguised as a feature film.", "output": "negative" }, "775": { "input": "A very depressing movie of many missed opportunities.", "output": "negative" }, "776": { "input": "Enjoyably fast-moving, hard-hitting documentary.", "output": "positive" }, "777": { "input": "Worth catching for Griffiths' warm and winning central performance.", "output": "positive" }, "778": { "input": "Nothing about this movie works.", "output": "negative" }, "779": { "input": "Forgettable, if good-hearted, movie.", "output": "negative" }, "780": { "input": "An ugly, revolting movie.", "output": "negative" }, "781": { "input": "A refreshingly realistic, affectation-free coming-of-age tale.", "output": "positive" }, "782": { "input": "A perceptive, good-natured movie.", "output": "positive" }, "783": { "input": "Banal and predictable.", "output": "negative" }, "784": { "input": "Amazingly dopey.", "output": "positive" }, "785": { "input": "It's a satisfying summer blockbuster and worth a look.", "output": "positive" }, "786": { "input": "Overwrought, melodramatic bodice-ripper.", "output": "negative" }, "787": { "input": "Takes a simple premise and carries it to unexpected heights.", "output": "positive" }, "788": { "input": "In The New Guy, even the bull gets recycled.", "output": "negative" }, "789": { "input": "It's Splash without the jokes.", "output": "negative" }, "790": { "input": "Did we really need a remake of ``Charade?''", "output": "negative" }, "791": { "input": "A solid, psychological action film from Hong Kong.", "output": "positive" }, "792": { "input": "The satire is unfocused, while the story goes nowhere.", "output": "negative" }, "793": { "input": "Something must have been lost in the translation.", "output": "negative" }, "794": { "input": "The film desperately sinks further and further into comedy futility.", "output": "negative" }, "795": { "input": "Extremely bad.", "output": "negative" }, "796": { "input": "The rollerball sequences feel sanitised and stagey.", "output": "negative" }, "797": { "input": "Invigorating, surreal, and resonant with a rainbow of emotion.", "output": "positive" }, "798": { "input": "A tired, unimaginative and derivative variation of that already-shallow genre.", "output": "negative" }, "799": { "input": "The cast is phenomenal, especially the women.", "output": "positive" }, "800": { "input": "...a cheap, ludicrous attempt at serious horror.", "output": "negative" }, "801": { "input": "Tiresomely derivative and hammily acted.", "output": "negative" }, "802": { "input": "Fast-paced and wonderfully edited, the film is extremely thorough.", "output": "positive" }, "803": { "input": "It's definitely a step in the right direction.", "output": "positive" }, "804": { "input": "There's nothing remotely topical or sexy here.", "output": "negative" }, "805": { "input": "Unexpected, and often contradictory, truths emerge.", "output": "positive" }, "806": { "input": "The densest distillation of Roberts' movies ever made.", "output": "negative" }, "807": { "input": "Murder by Numbers just doesn't add up.", "output": "negative" }, "808": { "input": "A so-so, made-for-TV something posing as a real movie.", "output": "negative" }, "809": { "input": "This strenuously unfunny Showtime deserves the hook.", "output": "negative" }, "810": { "input": "Throughout, Mr. Audiard's direction is fluid and quick.", "output": "positive" }, "811": { "input": "Some episodes work, some don't.", "output": "negative" }, "812": { "input": "Where the film falters is in its tone.", "output": "negative" }, "813": { "input": "Downbeat, period-perfect biopic hammers home a heavy-handed moralistic message.", "output": "positive" }, "814": { "input": "As steamy as last week's pork dumplings.", "output": "negative" }, "815": { "input": "Crammed with incident, and bristles with passion and energy.", "output": "positive" }, "816": { "input": "The best part about ``Gangs'' was Daniel Day-Lewis.", "output": "positive" }, "817": { "input": "An ambitious, guilt-suffused melodrama crippled by poor casting.", "output": "negative" }, "818": { "input": "Ferrara's strongest and most touching movie of recent years.", "output": "positive" }, "819": { "input": "If you like peace, you'll like Promises.", "output": "positive" }, "820": { "input": "Philosophically, intellectually and logistically a mess.", "output": "negative" }, "821": { "input": "Intimate and panoramic.", "output": "positive" }, "822": { "input": "Feels shrill, simple and soapy.", "output": "negative" }, "823": { "input": "A fleet-footed and pleasingly upbeat family diversion.", "output": "positive" }, "824": { "input": "It's virtually impossible to like any of these despicable characters.", "output": "negative" }, "825": { "input": "Decent but dull.", "output": "negative" }, "826": { "input": "Tells a fascinating, compelling story.", "output": "positive" }, "827": { "input": "Without Shakespeare's eloquent language, the update is dreary and sluggish.", "output": "negative" }, "828": { "input": "A processed comedy chop suey.", "output": "negative" }, "829": { "input": "It's a very valuable film...", "output": "positive" }, "830": { "input": "The beautifully choreographed kitchen ballet is simple but absorbing.", "output": "positive" }, "831": { "input": "A stirring road movie.", "output": "positive" }, "832": { "input": "A big fat pain.", "output": "negative" }, "833": { "input": "A film of ideas and wry comic mayhem.", "output": "positive" }, "834": { "input": "A surprisingly funny movie.", "output": "positive" }, "835": { "input": "A moving essay about the specter of death, especially suicide.", "output": "positive" }, "836": { "input": "Poignant and delicately complex.", "output": "positive" }, "837": { "input": "A weird, arresting little ride.", "output": "positive" }, "838": { "input": "Cold, Sterile And Lacking Any Color Or Warmth.", "output": "negative" }, "839": { "input": "Eight Legged Freaks falls flat as a spoof.", "output": "negative" }, "840": { "input": "Includes too much obvious padding.", "output": "negative" }, "841": { "input": "A straight-ahead thriller that never rises above superficiality.", "output": "negative" }, "842": { "input": "A funny, triumphant, and moving documentary.", "output": "positive" }, "843": { "input": "Simply a re-hash of the other seven films.", "output": "negative" }, "844": { "input": "Hard to resist.", "output": "positive" }, "845": { "input": "Qualities that were once amusing are becoming irritating.", "output": "negative" }, "846": { "input": "Do we really need another film that praises female self-sacrifice?", "output": "negative" }, "847": { "input": "Genuinely unnerving.", "output": "positive" }, "848": { "input": "``Abandon'' will leave you wanting to abandon the theater.", "output": "negative" }, "849": { "input": "A moving, if uneven, success.", "output": "positive" }, "850": { "input": "Earnest and heartfelt but undernourished and plodding.", "output": "positive" }, "851": { "input": "Move over Bond; this girl deserves a sequel.", "output": "positive" }, "852": { "input": "Jeffrey Tambor's performance as the intelligent jazz-playing exterminator is Oscar-worthy.", "output": "positive" }, "853": { "input": "Shallow.", "output": "negative" }, "854": { "input": "It's just not very smart.", "output": "negative" }, "855": { "input": "An awful snooze.", "output": "negative" }, "856": { "input": "The film is strictly routine.", "output": "negative" }, "857": { "input": "Less than fresh.", "output": "negative" }, "858": { "input": "Mostly honest, this somber picture reveals itself slowly, intelligently, artfully.", "output": "positive" }, "859": { "input": "Hugely accomplished slice of Hitchcockian suspense.", "output": "positive" }, "860": { "input": "Smart, sassy interpretation of the Oscar Wilde play.", "output": "positive" }, "861": { "input": "A relative letdown.", "output": "negative" }, "862": { "input": "A moving story of determination and the human spirit.", "output": "positive" }, "863": { "input": "Its gentle, touching story creeps into your heart.", "output": "positive" }, "864": { "input": "A cleverly crafted but ultimately hollow mockumentary.", "output": "negative" }, "865": { "input": "Starts promisingly but disintegrates into a dreary, humorless soap opera.", "output": "negative" }, "866": { "input": "A smart little indie.", "output": "positive" }, "867": { "input": "Characterisation has been sacrificed for the sake of spectacle.", "output": "negative" }, "868": { "input": "Morvern rocks.", "output": "positive" }, "869": { "input": "And people make fun of me for liking Showgirls.", "output": "negative" }, "870": { "input": "...irritating soul-searching garbage.", "output": "negative" }, "871": { "input": "A singularly off-putting romantic comedy.", "output": "negative" }, "872": { "input": "delightfully rendered", "output": "positive" }, "873": { "input": "...spellbinding fun and deliciously exploitative.", "output": "positive" }, "874": { "input": "A compelling motion picture that illustrates an American tragedy.", "output": "positive" }, "875": { "input": "A weird and wonderful comedy.", "output": "positive" }, "876": { "input": "Elegant, mannered and teasing.", "output": "positive" }, "877": { "input": "The drama discloses almost nothing.", "output": "negative" }, "878": { "input": "You'll end up moved.", "output": "positive" }, "879": { "input": "Ah-nuld's action hero days might be over.", "output": "negative" }, "880": { "input": "A good thriller.", "output": "positive" }, "881": { "input": "Almost as offensive as ``Freddy Got Fingered.''", "output": "negative" }, "882": { "input": "A pretty decent kid-pleasing, tolerable-to-adults lark of a movie.", "output": "positive" }, "883": { "input": "This ludicrous film is predictable at every turn.", "output": "negative" }, "884": { "input": "The whole thing plays like a tired Tyco ad.", "output": "negative" }, "885": { "input": "A charmer from Belgium.", "output": "positive" }, "886": { "input": "...contains very few laughs and even less surprises.", "output": "negative" }, "887": { "input": "a screenplay more ingeniously constructed than ``Memento''", "output": "positive" }, "888": { "input": "One of the most incoherent features in recent memory.", "output": "negative" }, "889": { "input": "Beautiful to watch and holds a certain charm.", "output": "positive" }, "890": { "input": "An empty, purposeless exercise.", "output": "negative" }, "891": { "input": "...overly melodramatic...", "output": "negative" }, "892": { "input": "Secretary is just too original to be ignored.", "output": "positive" }, "893": { "input": "It's a diverting enough hour-and-a-half for the family audience.", "output": "positive" }, "894": { "input": "All three women deliver remarkable performances.", "output": "positive" }, "895": { "input": "A dark, quirky road movie that constantly defies expectation.", "output": "positive" }, "896": { "input": "...the story is far-flung, illogical, and plain stupid.", "output": "negative" }, "897": { "input": "One of the worst movies of the year.", "output": "negative" }, "898": { "input": "A brutally dry satire of Middle American numbness.", "output": "negative" }, "899": { "input": "I don't think this movie loves women at all.", "output": "negative" }, "900": { "input": "Its sheer dynamism is infectious.", "output": "positive" }, "901": { "input": "Gives an intriguing twist to the French coming-of-age genre.", "output": "positive" }, "902": { "input": "This u-boat doesn't have a captain.", "output": "negative" }, "903": { "input": "Obvious.", "output": "negative" }, "904": { "input": "This beautifully animated epic is never dull.", "output": "positive" }, "905": { "input": "Poignant Japanese epic about adolescent anomie and heartbreak.", "output": "positive" }, "906": { "input": "About as big a crowdpleaser as they possibly come.", "output": "positive" }, "907": { "input": "An inexperienced director, Mehta has much to learn.", "output": "negative" }, "908": { "input": "Has an unmistakable, easy joie de vivre.", "output": "positive" }, "909": { "input": "Hip-hop prison thriller of stupefying absurdity.", "output": "negative" }, "910": { "input": "Never inspires more than an interested detachment.", "output": "negative" }, "911": { "input": "Familiar but utterly delightful.", "output": "positive" }, "912": { "input": "It's a rare window on an artistic collaboration.", "output": "positive" }, "913": { "input": "The jokes are flat, and the action looks fake.", "output": "negative" }, "914": { "input": "...quite endearing.", "output": "positive" }, "915": { "input": "A superlative B movie -- funny, sexy, and rousing.", "output": "positive" }, "916": { "input": "A thriller without a lot of thrills.", "output": "negative" }, "917": { "input": "Odd and weird.", "output": "negative" }, "918": { "input": "Too silly to take seriously.", "output": "negative" }, "919": { "input": "A compelling yarn, but not quite a ripping one.", "output": "positive" }, "920": { "input": "The leanest and meanest of Solondz's misanthropic comedies.", "output": "positive" }, "921": { "input": "Exactly what its title implies: lusty, boisterous and utterly charming.", "output": "positive" }, "922": { "input": "A stylish thriller.", "output": "positive" }, "923": { "input": "The movie is a trove of delights.", "output": "positive" }, "924": { "input": "Intriguing and stylish.", "output": "positive" }, "925": { "input": "Reassuring, retro uplifter.", "output": "positive" }, "926": { "input": "A wonderful, ghastly film.", "output": "positive" }, "927": { "input": "There's back-stabbing, inter-racial desire and, most importantly, singing and dancing.", "output": "positive" }, "928": { "input": "Surprisingly powerful and universal.", "output": "positive" }, "929": { "input": "An uneven mix of dark satire and childhood awakening.", "output": "negative" }, "930": { "input": "A lovely and beautifully photographed romance.", "output": "positive" }, "931": { "input": "... a confusing drudgery.", "output": "negative" }, "932": { "input": "A well-executed spy-thriller.", "output": "positive" }, "933": { "input": "An impenetrable and insufferable ball of pseudo-philosophic twaddle.", "output": "negative" }, "934": { "input": "Comes off like a bad imitation of the Bard.", "output": "negative" }, "935": { "input": "Essentially a collection of bits -- and they're all naughty.", "output": "positive" }, "936": { "input": "The film offers an intriguing what-if premise.", "output": "positive" }, "937": { "input": "A well-done film of a self-reflexive, philosophical nature.", "output": "positive" }, "938": { "input": "A slight but sweet film.", "output": "positive" }, "939": { "input": "A waste of fearless purity in the acting craft.", "output": "negative" }, "940": { "input": "Bring on the sequel.", "output": "positive" }, "941": { "input": "This is a movie full of grace and, ultimately, hope.", "output": "positive" }, "942": { "input": "Funny in a sick, twisted sort of way.", "output": "positive" }, "943": { "input": "It's always fascinating to watch Marker the essayist at work.", "output": "positive" }, "944": { "input": "...a guiltless film for nice evening out.", "output": "positive" }, "945": { "input": "Needed a little less bling-bling and a lot more romance.", "output": "negative" }, "946": { "input": "Fun and nimble.", "output": "positive" }, "947": { "input": "An alternately fascinating and frustrating documentary.", "output": "positive" }, "948": { "input": "Its premise is smart, but the execution is pretty weary.", "output": "negative" }, "949": { "input": "Sex is one of those films that aims to confuse.", "output": "negative" }, "950": { "input": "What an embarrassment.", "output": "negative" }, "951": { "input": "It's not a bad premise, just a bad movie.", "output": "negative" }, "952": { "input": "Feels familiar and tired.", "output": "negative" }, "953": { "input": "One of the funnier movies in town.", "output": "positive" }, "954": { "input": "Brave and sweetly rendered love story.", "output": "positive" }, "955": { "input": "A compelling film.", "output": "positive" }, "956": { "input": "One funny popcorn flick.", "output": "positive" }, "957": { "input": "Never comes together as a coherent whole.", "output": "negative" }, "958": { "input": "A genuinely moving and wisely unsentimental drama.", "output": "positive" }, "959": { "input": "Hollywood Ending is not show-stoppingly hilarious, but scathingly witty nonetheless.", "output": "positive" }, "960": { "input": "As plain and pedestrian as catsup--", "output": "negative" }, "961": { "input": "Has its moments -- and almost as many subplots.", "output": "positive" }, "962": { "input": "Mediocre fable from Burkina Faso.", "output": "negative" }, "963": { "input": "There's a lot to recommend Read My Lips.", "output": "positive" }, "964": { "input": "Sunk by way too much indulgence of scene-chewing, teeth-gnashing actorliness.", "output": "negative" }, "965": { "input": "A moving picture that does not move.", "output": "negative" }, "966": { "input": "Delirious fun.", "output": "positive" }, "967": { "input": "The Scorpion King is more fun than Conan the Barbarian.", "output": "positive" }, "968": { "input": "Nicole Kidman makes it a party worth attending.", "output": "positive" }, "969": { "input": "More trifle than triumph.", "output": "negative" }, "970": { "input": "A ragbag of cliches.", "output": "negative" }, "971": { "input": "Russian Ark is a new treasure of the Hermitage.", "output": "positive" }, "972": { "input": "Nice piece of work.", "output": "positive" }, "973": { "input": "It's bedeviled by labored writing and slack direction.", "output": "negative" }, "974": { "input": "I simply can't recommend it enough.", "output": "positive" }, "975": { "input": "This cloying, voices-from-the-other-side story is hell.", "output": "negative" }, "976": { "input": "There's a reason why halftime is only fifteen minutes long.", "output": "negative" }, "977": { "input": "...a triumph of emotionally and narratively complex filmmaking.", "output": "positive" }, "978": { "input": "a joyous occasion", "output": "positive" }, "979": { "input": "How this one escaped the Lifetime network I'll never know.", "output": "negative" }, "980": { "input": "A heartening tale of small victories and enduring hope.", "output": "positive" }, "981": { "input": "It's never laugh-out-loud funny, but it is frequently amusing.", "output": "positive" }, "982": { "input": "Too bad Maggio couldn't come up with a better script.", "output": "negative" }, "983": { "input": "...``Bowling for Columbine'' remains a disquieting and thought-provoking film...", "output": "positive" }, "984": { "input": "...another example of how Sandler is losing his touch.", "output": "negative" }, "985": { "input": "A film that's flawed and brilliant in equal measure.", "output": "positive" }, "986": { "input": "The Pool drowned me in boredom.", "output": "negative" }, "987": { "input": "A perfectly pleasant if slightly pokey comedy.", "output": "positive" }, "988": { "input": "The Komediant is a tale worth catching.", "output": "positive" }, "989": { "input": "Plays like the old disease-of-the-week small-screen melodramas.", "output": "negative" }, "990": { "input": "A tour de force of modern cinema.", "output": "positive" }, "991": { "input": "Daring and beautifully made.", "output": "positive" }, "992": { "input": "The mushy finale turns John Q into a movie-of-the-week tearjerker.", "output": "positive" }, "993": { "input": "The performances are remarkable.", "output": "positive" }, "994": { "input": "More intellectually scary than dramatically involving.", "output": "negative" }, "995": { "input": "Rife with nutty cliches and far too much dialogue.", "output": "negative" }, "996": { "input": "A charming but slight comedy.", "output": "positive" }, "997": { "input": "A sharp satire of desperation and cinematic deception.", "output": "positive" }, "998": { "input": "An awfully good, achingly human picture.", "output": "positive" }, "999": { "input": "Obvious, obnoxious and didactic burlesque.", "output": "negative" }, "1000": { "input": "...an interesting slice of history.", "output": "positive" }, "1001": { "input": "Been there done that.", "output": "negative" }, "1002": { "input": "A deftly entertaining film, smartly played and smartly directed.", "output": "positive" }, "1003": { "input": "Stiff and schmaltzy and clumsily directed.", "output": "negative" }, "1004": { "input": "Smith finds amusing juxtapositions that justify his exercise.", "output": "positive" }, "1005": { "input": "Undoubtedly the scariest movie ever made about tattoos.", "output": "positive" }, "1006": { "input": "Below is well below expectations.", "output": "negative" }, "1007": { "input": "What begins brightly gets bogged down over 140 minutes.", "output": "negative" }, "1008": { "input": "Audacious-impossible yet compelling...", "output": "positive" }, "1009": { "input": "A sub-formulaic slap in the face to seasonal cheer.", "output": "negative" }, "1010": { "input": "A breezy blend of art, history, esoteric musings and philosophy.", "output": "positive" }, "1011": { "input": "A sentimental mess that never rings true.", "output": "negative" }, "1012": { "input": "Its one-sidedness ... flirts with propaganda.", "output": "negative" }, "1013": { "input": "A wildly entertaining scan of Evans' career.", "output": "positive" }, "1014": { "input": "A conventional but heartwarming tale.", "output": "positive" }, "1015": { "input": "The code talkers deserved better than a hollow tribute.", "output": "negative" }, "1016": { "input": "Diaz wears out her welcome in her most charmless performance", "output": "negative" }, "1017": { "input": "The film is flat.", "output": "negative" }, "1018": { "input": "eventually arrives at its heart, as simple self-reflection meditation.", "output": "positive" }, "1019": { "input": "Seriously, rent the Disney version.", "output": "negative" }, "1020": { "input": "An Asian neo-realist treasure.", "output": "positive" }, "1021": { "input": "The entire movie establishes a wonderfully creepy mood.", "output": "positive" }, "1022": { "input": "Definitely worth 95 minutes of your time.", "output": "positive" }, "1023": { "input": "An escapist confection that's pure entertainment.", "output": "positive" }, "1024": { "input": "An amused indictment of Jaglom's own profession.", "output": "positive" }, "1025": { "input": "One lousy movie.", "output": "negative" }, "1026": { "input": "More tiring than anything.", "output": "negative" }, "1027": { "input": "An intimate contemplation of two marvelously messy lives.", "output": "positive" }, "1028": { "input": "Offers absolutely nothing I hadn't already seen.", "output": "negative" }, "1029": { "input": "A must see for all sides of the political spectrum", "output": "positive" }, "1030": { "input": "Intriguing and downright intoxicating.", "output": "positive" }, "1031": { "input": "My own minority report is that it stinks.", "output": "negative" }, "1032": { "input": "...a rather bland affair.", "output": "negative" }, "1033": { "input": "Steven Spielberg brings us another masterpiece", "output": "positive" }, "1034": { "input": "An infinitely wittier version of the Home Alone formula.", "output": "positive" }, "1035": { "input": "Despite some comic sparks, Welcome to Collinwood never catches fire.", "output": "negative" }, "1036": { "input": "...a true delight.", "output": "positive" }, "1037": { "input": "A movie you observe, rather than one you enter into.", "output": "negative" }, "1038": { "input": "A tremendous piece of work.", "output": "positive" }, "1039": { "input": "The slapstick is labored, and the bigger setpieces flat.", "output": "negative" }, "1040": { "input": "About Schmidt is Nicholson's goofy, heartfelt, mesmerizing King Lear.", "output": "positive" }, "1041": { "input": "...a bland, pretentious mess.", "output": "negative" }, "1042": { "input": "Storytelling feels slight.", "output": "negative" }, "1043": { "input": "Uneven, self-conscious but often hilarious spoof.", "output": "positive" }, "1044": { "input": "Anemic, pretentious.", "output": "negative" }, "1045": { "input": "It makes compelling, provocative and prescient viewing.", "output": "positive" }, "1046": { "input": "Predictably melodramatic.", "output": "negative" }, "1047": { "input": "Beautifully directed and convincingly acted.", "output": "positive" }, "1048": { "input": "Don't even bother to rent this on video.", "output": "negative" }, "1049": { "input": "Cho's timing is priceless.", "output": "positive" }, "1050": { "input": "Hopelessly inane, humorless and under-inspired.", "output": "negative" }, "1051": { "input": "Maryam is a small film, but it offers large rewards.", "output": "positive" }, "1052": { "input": "Shallow, noisy and pretentious.", "output": "negative" }, "1053": { "input": "Rarely does such high-profile talent serve such literate material.", "output": "positive" }, "1054": { "input": "The soundtrack alone is worth the price of admission.", "output": "positive" }, "1055": { "input": "Told just proficiently enough to trounce its overly comfortable trappings.", "output": "positive" }, "1056": { "input": "Plays like a glossy melodrama that occasionally verges on camp.", "output": "negative" }, "1057": { "input": "Formulaic to the 51st power, more like.", "output": "negative" }, "1058": { "input": "Rifkin's references are ... impeccable throughout.", "output": "positive" }, "1059": { "input": "Illiterate, often inert sci-fi action thriller.", "output": "negative" }, "1060": { "input": "It is messy, uncouth, incomprehensible, vicious and absurd.", "output": "negative" }, "1061": { "input": "Duvall is strong as always.", "output": "positive" }, "1062": { "input": "A bit too eager to please.", "output": "negative" }, "1063": { "input": "Sluggish, tonally uneven.", "output": "negative" }, "1064": { "input": "I liked a lot of the smaller scenes.", "output": "positive" }, "1065": { "input": "Strange, funny, twisted, brilliant and macabre.", "output": "positive" }, "1066": { "input": "A selection of scenes in search of a movie.", "output": "negative" }, "1067": { "input": "Deadly dull, pointless meditation on losers in a gone-to-seed hotel.", "output": "negative" }, "1068": { "input": "Steve Oedekerk is, alas, no Woody Allen.", "output": "negative" }, "1069": { "input": "Like Brosnan's performance, Evelyn comes from the heart.", "output": "positive" }, "1070": { "input": "An encouraging effort from McCrudden", "output": "positive" }, "1071": { "input": "Debut effort by ``Project Greenlight'' winner is sappy and amateurish.", "output": "negative" }, "1072": { "input": "One can't deny its seriousness and quality.", "output": "positive" }, "1073": { "input": "A pleasant piece of escapist entertainment.", "output": "positive" }, "1074": { "input": "A well-put-together piece of urban satire.", "output": "positive" }, "1075": { "input": "A very capable nailbiter.", "output": "positive" }, "1076": { "input": "There's plenty to impress about E.T.", "output": "positive" }, "1077": { "input": "As the dominant Christine, Sylvie Testud is icily brilliant.", "output": "positive" }, "1078": { "input": "If only it were, well, funnier.", "output": "negative" }, "1079": { "input": "A true pleasure.", "output": "positive" }, "1080": { "input": "A grating, emaciated flick.", "output": "negative" }, "1081": { "input": "...a solid, unassuming drama.", "output": "positive" }, "1082": { "input": "In terms of execution this movie is careless and unfocused.", "output": "negative" }, "1083": { "input": "A negligible British comedy.", "output": "negative" }, "1084": { "input": "A comedy that is warm, inviting, and surprising.", "output": "positive" }, "1085": { "input": "Dense, exhilarating documentary.", "output": "positive" }, "1086": { "input": "Boomers and their kids will have a Barrie good time.", "output": "positive" }, "1087": { "input": "For dance completists only.", "output": "negative" }, "1088": { "input": "Enticing and often funny documentary.", "output": "positive" }, "1089": { "input": "Sex With Strangers is fascinating ...", "output": "positive" }, "1090": { "input": "An intoxicating experience.", "output": "positive" }, "1091": { "input": "Oddly compelling.", "output": "positive" }, "1092": { "input": "A cockeyed shot all the way.", "output": "negative" }, "1093": { "input": "Grating and tedious.", "output": "negative" }, "1094": { "input": "The story itself is actually quite vapid.", "output": "negative" }, "1095": { "input": "It's stylishly directed with verve...", "output": "positive" }, "1096": { "input": "Deliciously mean-spirited and wryly observant.", "output": "positive" }, "1097": { "input": "Rashomon-for-dipsticks tale.", "output": "negative" }, "1098": { "input": "Watching these eccentrics is both inspiring and pure joy.", "output": "positive" }, "1099": { "input": "It's an exhilarating place to visit, this laboratory of laughter.", "output": "positive" }, "1100": { "input": "Knows how to make our imagination wonder.", "output": "positive" }, "1101": { "input": "Exciting and well-paced.", "output": "positive" }, "1102": { "input": "Terrific casting and solid execution give all three stories life.", "output": "positive" }, "1103": { "input": "Serious and thoughtful.", "output": "positive" }, "1104": { "input": "A visual spectacle full of stunning images and effects.", "output": "positive" }, "1105": { "input": "Devolves into the derivative, leaning on badly-rendered CGI effects.", "output": "negative" }, "1106": { "input": "Kinnear's performance is a career-defining revelation.", "output": "positive" }, "1107": { "input": "Reggio and Glass put on an intoxicating show.", "output": "positive" }, "1108": { "input": "Huppert and Girardot give performances of exceptional honesty.", "output": "positive" }, "1109": { "input": "Moving and vibrant.", "output": "positive" }, "1110": { "input": "Control-Alt-Delete Simone as quickly as possible", "output": "negative" }, "1111": { "input": "Funny, sexy, devastating and incurably romantic.", "output": "positive" }, "1112": { "input": "It's endlessly inventive, consistently intelligent and sickeningly savage.", "output": "positive" }, "1113": { "input": "Marshall puts a suspenseful spin on standard horror flick formula.", "output": "positive" }, "1114": { "input": "Hollywood Ending just isn't very funny.", "output": "negative" }, "1115": { "input": "A preposterous, prurient whodunit.", "output": "negative" }, "1116": { "input": "Psychologically savvy.", "output": "positive" }, "1117": { "input": "Poignant and funny.", "output": "positive" }, "1118": { "input": "An absorbing and unsettling psychological drama.", "output": "positive" }, "1119": { "input": "The film is one of the year's best.", "output": "positive" }, "1120": { "input": "A harrowing account of a psychological breakdown.", "output": "positive" }, "1121": { "input": "Appropriately cynical social commentary aside, #9 never quite ignites.", "output": "negative" }, "1122": { "input": "Exceptionally well acted by Diane Lane and Richard Gere.", "output": "positive" }, "1123": { "input": "...the whole thing succeeded only in making me groggy.", "output": "negative" }, "1124": { "input": "May puzzle his most ardent fans.", "output": "negative" }, "1125": { "input": "Lawrence plumbs personal tragedy and also the human comedy.", "output": "positive" }, "1126": { "input": "Twenty years later, E.T. is still a cinematic touchstone.", "output": "positive" }, "1127": { "input": "A film of quiet power.", "output": "positive" }, "1128": { "input": "finely crafted, finely written, exquisitely performed", "output": "positive" }, "1129": { "input": "Suffers from a flat script and a low budget.", "output": "negative" }, "1130": { "input": "Compulsively watchable, no matter how degraded things get.", "output": "positive" }, "1131": { "input": "Majidi's direction has never been smoother or more confident.", "output": "positive" }, "1132": { "input": "Despite the film's shortcomings, the stories are quietly moving.", "output": "positive" }, "1133": { "input": "Disjointed parody.", "output": "negative" }, "1134": { "input": "``Freaky Friday,'' it's not.", "output": "negative" }, "1135": { "input": "Sparse but oddly compelling.", "output": "positive" }, "1136": { "input": "This is a stunning film, a one-of-a-kind tour de force.", "output": "positive" }, "1137": { "input": "Succeeds as a well-made evocation of a subculture.", "output": "positive" }, "1138": { "input": "A full-frontal attack on audience patience.", "output": "negative" }, "1139": { "input": "Delivers more than its fair share of saucy hilarity.", "output": "positive" }, "1140": { "input": "The laughs are as rare as snake foo yung.", "output": "negative" }, "1141": { "input": "Makes 98 minutes feel like three hours.", "output": "negative" }, "1142": { "input": "Well-acted, well-directed and, for all its moodiness, not too pretentious.", "output": "positive" }, "1143": { "input": "What a stiflingly unfunny and unoriginal mess this is!", "output": "negative" }, "1144": { "input": "The production design, score and choreography are simply intoxicating.", "output": "positive" }, "1145": { "input": "What a bewilderingly brilliant and entertaining movie this is.", "output": "positive" }, "1146": { "input": "All mood and no movie.", "output": "negative" }, "1147": { "input": "Even the hastily and amateurishly drawn animation cannot engage.", "output": "negative" }, "1148": { "input": "It's super- violent, super-serious and super-stupid.", "output": "negative" }, "1149": { "input": "Jeong-Hyang Lee's film is deceptively simple, deeply satisfying.", "output": "positive" }, "1150": { "input": "As refreshing as a drink from a woodland stream.", "output": "positive" }, "1151": { "input": "This isn't a movie; it's a symptom.", "output": "negative" }, "1152": { "input": "What makes the movie special is its utter sincerity.", "output": "positive" }, "1153": { "input": "Please, someone, stop Eric Schaeffer before he makes another film.", "output": "negative" }, "1154": { "input": "Definitely a crowd-pleaser, but then, so was the Roman Colosseum.", "output": "positive" }, "1155": { "input": "The picture emerges as a surprisingly anemic disappointment.", "output": "negative" }, "1156": { "input": "Boring and meandering.", "output": "negative" }, "1157": { "input": "It's the funniest American comedy since Graffiti Bridge.", "output": "positive" }, "1158": { "input": "...standard guns versus martial arts cliche with little new added.", "output": "positive" }, "1159": { "input": "A real snooze.", "output": "negative" }, "1160": { "input": "Nothing happens, and it happens to flat characters.", "output": "negative" }, "1161": { "input": "There are moments of hilarity to be had.", "output": "positive" }, "1162": { "input": "This is rote drivel aimed at Mom and Dad's wallet.", "output": "negative" }, "1163": { "input": "Richly entertaining and suggestive of any number of metaphorical readings.", "output": "positive" }, "1164": { "input": "A delightful 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{ "input": "cat, mouse, spider, cookie, snail, blue", "output": "spider, snail, mouse, cat", "words": [ "cat", "mouse", "spider", "cookie", "snail", "blue" ], "category_items": [ "spider", "snail", "mouse", "cat" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 2 }, "82": { "input": "zebra, snake, glove, pancake, tractor, lion, octopus", "output": "zebra, snake, lion, octopus", "words": [ "zebra", "snake", "glove", "pancake", "tractor", "lion", "octopus" ], "category_items": [ "zebra", "snake", "lion", "octopus" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "83": { "input": "orange, camel, lion, lemon, swan, spider, pancake", "output": "spider, swan, lion, camel", "words": [ "orange", "camel", "lion", "lemon", "swan", "spider", "pancake" ], "category_items": [ "spider", "swan", "lion", "camel" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 3 }, "84": { "input": "teacher, businesswoman, octopus, dolphin, bat", "output": "dolphin, bat, octopus", "words": [ "teacher", "businesswoman", "octopus", "dolphin", "bat" ], "category_items": [ "dolphin", "bat", "octopus" ], "other_categories": [ "profession" ], "num_category_items": 3, "num_others": 2 }, "85": { "input": "snake, parrot, rice, swan, pajamas, penguin, ambulance", "output": "penguin, parrot, swan, snake", "words": [ "snake", "parrot", "rice", "swan", "pajamas", "penguin", "ambulance" ], "category_items": [ "penguin", "parrot", "swan", "snake" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "86": { "input": "gold, spider, waiter, horse, butterfly, glove", "output": "horse, butterfly, spider", "words": [ "gold", "spider", "waiter", "horse", "butterfly", "glove" ], "category_items": [ "horse", "butterfly", "spider" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "87": { "input": "camel, purple, gray, parrot, giraffe, yellow", "output": "giraffe, parrot, camel", "words": [ "camel", "purple", "gray", "parrot", "giraffe", "yellow" ], "category_items": [ "giraffe", "parrot", "camel" ], "other_categories": [ "color" ], "num_category_items": 3, "num_others": 3 }, "88": { "input": "sandwich, jellyfish, parrot, dentist, duck, chicken", "output": "jellyfish, chicken, parrot, duck", "words": [ "sandwich", "jellyfish", "parrot", "dentist", "duck", "chicken" ], "category_items": [ "jellyfish", "chicken", "parrot", "duck" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 2 }, "89": { "input": "lizard, dolphin, nurse, goat, white, gold", "output": "goat, lizard, dolphin", "words": [ "lizard", "dolphin", "nurse", "goat", "white", "gold" ], "category_items": [ "goat", "lizard", "dolphin" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 3 }, "90": { "input": "frog, pink, goat, bean, spider, cat", 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"goat", "cat", "bee" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "363": { "input": "donkey, jeans, tortoise, jellyfish, parrot, car", "output": "tortoise, parrot, jellyfish, donkey", "words": [ "donkey", "jeans", "tortoise", "jellyfish", "parrot", "car" ], "category_items": [ "tortoise", "parrot", "jellyfish", "donkey" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "364": { "input": "teacher, parrot, goat, dentist, sheep, butterfly", "output": "sheep, butterfly, parrot, goat", "words": [ "teacher", "parrot", "goat", "dentist", "sheep", "butterfly" ], "category_items": [ "sheep", "butterfly", "parrot", "goat" ], "other_categories": [ "profession" ], "num_category_items": 4, "num_others": 2 }, "365": { "input": "lizard, swan, goat, elephant, salad, butter", "output": "lizard, swan, elephant, goat", "words": [ "lizard", "swan", "goat", "elephant", "salad", "butter" ], "category_items": [ "lizard", 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[ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "369": { "input": "panda, goat, ambulance, frog, giraffe, businessman", "output": "goat, frog, giraffe, panda", "words": [ "panda", "goat", "ambulance", "frog", "giraffe", "businessman" ], "category_items": [ "goat", "frog", "giraffe", "panda" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "370": { "input": "ambulance, lion, monkey, motorway, spider", "output": "spider, lion, monkey", "words": [ "ambulance", "lion", "monkey", "motorway", "spider" ], "category_items": [ "spider", "lion", "monkey" ], "other_categories": [ "vehicle" ], "num_category_items": 3, "num_others": 2 }, "371": { "input": "spider, potato, pear, tiger, hippo", "output": "spider, tiger, hippo", "words": [ "spider", "potato", "pear", "tiger", "hippo" ], "category_items": [ "spider", "tiger", "hippo" ], "other_categories": [ "food" ], "num_category_items": 3, "num_others": 2 }, "372": { "input": "cat, horse, jacket, tiger, ambulance, pajamas, panda", "output": "panda, cat, tiger, horse", "words": [ "cat", "horse", "jacket", "tiger", "ambulance", "pajamas", "panda" ], "category_items": [ "panda", "cat", "tiger", "horse" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "373": { "input": "orange, bus, cat, yellow, mouse, camel", "output": "mouse, cat, camel", "words": [ "orange", "bus", "cat", "yellow", "mouse", "camel" ], "category_items": [ "mouse", "cat", "camel" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "374": { "input": "bee, parrot, spaceship, pear, monkey, duck", "output": "duck, monkey, bee, parrot", "words": [ "bee", "parrot", "spaceship", "pear", "monkey", "duck" ], "category_items": [ "duck", "monkey", "bee", "parrot" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "375": { "input": "lion, sheep, chicken, scarf, lizard, cook", "output": "lion, lizard, sheep, chicken", "words": [ "lion", "sheep", "chicken", "scarf", "lizard", "cook" ], "category_items": [ "lion", "lizard", "sheep", "chicken" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 2 }, "376": { "input": "rabbit, orange, jellyfish, actor, mango, elephant, shark", "output": "jellyfish, elephant, shark, rabbit", "words": [ "rabbit", "orange", "jellyfish", "actor", "mango", "elephant", "shark" ], "category_items": [ "jellyfish", "elephant", "shark", "rabbit" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 4, "num_others": 3 }, "377": { "input": "red, goat, camel, belt, lizard", "output": "goat, lizard, camel", "words": [ "red", "goat", "camel", "belt", "lizard" ], "category_items": [ "goat", "lizard", "camel" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 2 }, "378": { "input": "panda, purple, rabbit, cat, engineer", "output": "rabbit, 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[ "lizard", "elephant", "frog" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 3, "num_others": 3 }, "382": { "input": "fly, panda, sock, train, sandwich, swan", "output": "swan, fly, panda", "words": [ "fly", "panda", "sock", "train", "sandwich", "swan" ], "category_items": [ "swan", "fly", "panda" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "383": { "input": "banana, ship, gold, chicken, shark, duck", "output": "duck, shark, chicken", "words": [ "banana", "ship", "gold", "chicken", "shark", "duck" ], "category_items": [ "duck", "shark", "chicken" ], "other_categories": [ "food", "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "384": { "input": "gray, skirt, bat, jellyfish, rabbit, cook", "output": "rabbit, bat, jellyfish", "words": [ "gray", "skirt", "bat", "jellyfish", "rabbit", "cook" ], "category_items": [ "rabbit", "bat", "jellyfish" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "385": { "input": "rabbit, hippo, penguin, chicken, dress, orange, blue", "output": "rabbit, penguin, chicken, hippo", "words": [ "rabbit", "hippo", "penguin", "chicken", "dress", "orange", "blue" ], "category_items": [ "rabbit", "penguin", "chicken", "hippo" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "386": { "input": "tortoise, pink, spaceship, nurse, rabbit, lizard, octopus", "output": "tortoise, octopus, rabbit, lizard", "words": [ "tortoise", "pink", "spaceship", "nurse", "rabbit", "lizard", "octopus" ], "category_items": [ "tortoise", "octopus", "rabbit", "lizard" ], "other_categories": [ "profession", "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "387": { "input": "tortoise, carrot, monkey, lion, chicken, bread", "output": "tortoise, monkey, lion, chicken", "words": [ "tortoise", "carrot", "monkey", "lion", "chicken", "bread" ], "category_items": [ "tortoise", "monkey", "lion", "chicken" ], "other_categories": [ "food" ], "num_category_items": 4, "num_others": 2 }, "388": { "input": "candy, swan, butterfly, white, mouse, bus, hippo", "output": "mouse, swan, butterfly, hippo", "words": [ "candy", "swan", "butterfly", "white", "mouse", "bus", "hippo" ], "category_items": [ "mouse", "swan", "butterfly", "hippo" ], "other_categories": [ "food", "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "389": { "input": "parrot, sheep, goat, lion, orange, motorway", "output": "goat, lion, sheep, parrot", "words": [ "parrot", "sheep", "goat", "lion", "orange", "motorway" ], "category_items": [ "goat", "lion", "sheep", "parrot" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 2 }, "390": { "input": "sausage, frog, camel, honey, parrot", "output": "camel, frog, parrot", "words": [ "sausage", "frog", "camel", "honey", "parrot" ], "category_items": [ "camel", "frog", "parrot" ], "other_categories": [ "food" ], "num_category_items": 3, "num_others": 2 }, "391": { "input": "snake, apple, potato, tiger, kiwi, chicken", "output": "tiger, snake, chicken", "words": [ "snake", "apple", "potato", "tiger", "kiwi", "chicken" ], "category_items": [ "tiger", "snake", "chicken" ], "other_categories": [ "food" ], "num_category_items": 3, "num_others": 3 }, "392": { "input": "whale, carrot, panda, zebra, dentist", "output": "zebra, panda, whale", "words": [ "whale", "carrot", "panda", "zebra", "dentist" ], "category_items": [ "zebra", "panda", "whale" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 2 }, "393": { "input": "whale, soup, apple, penguin, salad, monkey", "output": "whale, penguin, monkey", "words": [ "whale", "soup", "apple", "penguin", "salad", "monkey" ], "category_items": [ "whale", "penguin", "monkey" ], "other_categories": [ "food" ], "num_category_items": 3, "num_others": 3 }, "394": { "input": "actor, waiter, parrot, tiger, duck", "output": "parrot, tiger, duck", "words": [ "actor", "waiter", "parrot", "tiger", "duck" ], "category_items": [ "parrot", "tiger", "duck" ], "other_categories": [ "profession" ], "num_category_items": 3, "num_others": 2 }, "395": { "input": "bean, bat, pajamas, whale, sheep", "output": "sheep, whale, bat", "words": [ "bean", "bat", "pajamas", "whale", "sheep" ], "category_items": [ "sheep", "whale", "bat" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "396": { "input": "goat, spider, hat, ambulance, motorway, hippo", "output": "goat, spider, hippo", "words": [ "goat", "spider", "hat", "ambulance", "motorway", "hippo" ], "category_items": [ "goat", "spider", "hippo" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "397": { "input": "bus, camel, milk, giraffe, duck", "output": "camel, giraffe, duck", "words": [ "bus", "camel", "milk", "giraffe", "duck" ], "category_items": [ "camel", "giraffe", "duck" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "398": { "input": "camel, watermelon, red, lion, doctor, mouse, sheep", "output": "lion, sheep, mouse, camel", "words": [ "camel", "watermelon", "red", "lion", "doctor", "mouse", "sheep" ], "category_items": [ "lion", "sheep", "mouse", "camel" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 4, "num_others": 3 }, "399": { "input": "butterfly, bat, whale, tiger, jeans, purple, blue", "output": "whale, butterfly, bat, tiger", "words": [ "butterfly", "bat", "whale", "tiger", "jeans", "purple", "blue" ], "category_items": [ "whale", "butterfly", "bat", "tiger" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "400": { "input": "cook, giraffe, whale, pink, butterfly, penguin", "output": "whale, butterfly, giraffe, penguin", "words": [ "cook", "giraffe", "whale", "pink", "butterfly", "penguin" ], "category_items": [ "whale", "butterfly", "giraffe", "penguin" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 2 }, "401": { "input": "camel, lion, doctor, green, giraffe, elephant", "output": "camel, giraffe, lion, elephant", "words": [ "camel", "lion", "doctor", "green", "giraffe", "elephant" ], "category_items": [ "camel", "giraffe", "lion", "elephant" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 2 }, "402": { "input": "yellow, blue, spider, octopus, shirt, monkey, mouse", "output": "spider, monkey, mouse, octopus", "words": [ "yellow", "blue", "spider", "octopus", "shirt", "monkey", "mouse" ], "category_items": [ "spider", "monkey", "mouse", "octopus" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "403": { "input": "spider, panda, green, penguin, tortoise, artist", "output": "penguin, tortoise, spider, panda", "words": [ "spider", "panda", "green", "penguin", "tortoise", "artist" ], "category_items": [ "penguin", "tortoise", "spider", "panda" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 2 }, "404": { "input": "potato, frog, tortoise, zebra, bee, sweater", "output": "frog, tortoise, zebra, bee", "words": [ "potato", "frog", "tortoise", "zebra", "bee", "sweater" ], "category_items": [ "frog", "tortoise", "zebra", "bee" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 2 }, "405": { "input": "horse, jacket, chicken, donkey, teacher, blue", "output": "donkey, chicken, horse", "words": [ "horse", "jacket", "chicken", "donkey", "teacher", "blue" ], "category_items": [ "donkey", "chicken", "horse" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "406": { "input": "meatballs, goat, blue, lion, hippo, jeans", "output": "hippo, goat, lion", "words": [ "meatballs", "goat", "blue", "lion", "hippo", "jeans" 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"shark", "lizard", "panda", "swan" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "410": { "input": "giraffe, rabbit, spider, spaceship, jellyfish, sweater, sausage", "output": "jellyfish, giraffe, rabbit, spider", "words": [ "giraffe", "rabbit", "spider", "spaceship", "jellyfish", "sweater", "sausage" ], "category_items": [ "jellyfish", "giraffe", "rabbit", "spider" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "411": { "input": "horse, elephant, tractor, fly, trousers, bus", "output": "fly, horse, elephant", "words": [ "horse", "elephant", "tractor", "fly", "trousers", "bus" ], "category_items": [ "fly", "horse", "elephant" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "412": { "input": "bat, pear, parrot, whale, sheep, scarf", "output": "sheep, whale, parrot, bat", "words": [ "bat", "pear", "parrot", "whale", "sheep", "scarf" ], 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"profession", "color" ], "num_category_items": 3, "num_others": 2 }, "447": { "input": "red, bat, octopus, mouse, businesswoman, belt", "output": "mouse, octopus, bat", "words": [ "red", "bat", "octopus", "mouse", "businesswoman", "belt" ], "category_items": [ "mouse", "octopus", "bat" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "448": { "input": "penguin, actor, camel, pancake, fly", "output": "fly, penguin, camel", "words": [ "penguin", "actor", "camel", "pancake", "fly" ], "category_items": [ "fly", "penguin", "camel" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 2 }, "449": { "input": "bat, octopus, monkey, soup, goat, ice cream, green", "output": "octopus, monkey, goat, bat", "words": [ "bat", "octopus", "monkey", "soup", "goat", "ice cream", "green" ], "category_items": [ "octopus", "monkey", "goat", "bat" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 3 }, "450": { "input": "mouse, sheep, jeans, donkey, motorway", "output": "donkey, sheep, mouse", "words": [ "mouse", "sheep", "jeans", "donkey", "motorway" ], "category_items": [ "donkey", "sheep", "mouse" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 2 }, "451": { "input": "jeans, mechanic, sheep, rabbit, elephant, whale", "output": "whale, elephant, sheep, rabbit", "words": [ "jeans", "mechanic", "sheep", "rabbit", "elephant", "whale" ], "category_items": [ "whale", "elephant", "sheep", "rabbit" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 2 }, "452": { "input": "swimsuit, snake, penguin, frog, olives, helicopter", "output": "frog, snake, penguin", "words": [ "swimsuit", "snake", "penguin", "frog", "olives", "helicopter" ], "category_items": [ "frog", "snake", "penguin" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "453": { "input": "camel, cat, lizard, helicopter, brown", "output": "camel, lizard, cat", "words": [ "camel", "cat", "lizard", "helicopter", "brown" ], "category_items": [ "camel", "lizard", "cat" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 2 }, "454": { "input": "tiger, teacher, zebra, engineer, cat", "output": "tiger, cat, zebra", "words": [ "tiger", "teacher", "zebra", "engineer", "cat" ], "category_items": [ "tiger", "cat", "zebra" ], "other_categories": [ "profession" ], "num_category_items": 3, "num_others": 2 }, "455": { "input": "zebra, plane, chicken, artist, rabbit, dress", "output": "zebra, chicken, rabbit", "words": [ "zebra", "plane", "chicken", "artist", "rabbit", "dress" ], "category_items": [ "zebra", "chicken", "rabbit" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "456": { "input": "hat, snake, jeans, plane, fly, swan, lion", "output": "fly, swan, snake, lion", "words": [ "hat", "snake", "jeans", "plane", "fly", "swan", "lion" ], "category_items": [ "fly", "swan", "snake", "lion" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "457": { "input": "burger, swan, mechanic, penguin, donkey, ship", "output": "penguin, swan, donkey", "words": [ "burger", "swan", "mechanic", "penguin", "donkey", "ship" ], "category_items": [ "penguin", "swan", "donkey" ], "other_categories": [ "profession", "food", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "458": { "input": "whale, cat, helicopter, octopus, white", "output": "cat, whale, octopus", "words": [ "whale", "cat", "helicopter", "octopus", "white" ], "category_items": [ "cat", "whale", "octopus" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 2 }, "459": { "input": "belt, dolphin, jeans, octopus, spider, truck", "output": "spider, octopus, dolphin", "words": [ "belt", "dolphin", "jeans", "octopus", "spider", "truck" ], "category_items": [ "spider", "octopus", "dolphin" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "460": { "input": "goat, bat, donkey, mango, chicken, doctor, businesswoman", "output": "bat, goat, chicken, donkey", "words": [ "goat", "bat", "donkey", "mango", "chicken", "doctor", "businesswoman" ], "category_items": [ "bat", "goat", "chicken", "donkey" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 3 }, "461": { "input": "pancake, butterfly, mouse, pajamas, lemon, bat", "output": "bat, butterfly, mouse", "words": [ "pancake", "butterfly", "mouse", "pajamas", "lemon", "bat" ], "category_items": [ "bat", "butterfly", "mouse" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "462": { "input": "whale, scarf, candy, camel, elephant, parrot", "output": "camel, parrot, elephant, whale", "words": [ "whale", "scarf", "candy", "camel", "elephant", "parrot" ], "category_items": [ "camel", "parrot", "elephant", "whale" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 2 }, "463": { "input": "trousers, hippo, lizard, cook, cat", "output": "cat, lizard, hippo", "words": [ "trousers", "hippo", "lizard", "cook", "cat" ], "category_items": [ "cat", "lizard", "hippo" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 2 }, "464": { "input": "cat, octopus, snail, fly, motorway, photographer", "output": "cat, fly, octopus, snail", "words": [ "cat", "octopus", "snail", "fly", "motorway", "photographer" ], "category_items": [ "cat", "fly", "octopus", "snail" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "465": { "input": "snake, car, artist, swan, bat", "output": "snake, bat, swan", "words": [ "snake", "car", "artist", "swan", "bat" ], "category_items": [ "snake", "bat", "swan" ], "other_categories": [ "profession", "vehicle" ], 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"vehicle" ], "num_category_items": 4, "num_others": 2 }, "469": { "input": "lemon, car, shoe, hippo, spider, fly", "output": "fly, spider, hippo", "words": [ "lemon", "car", "shoe", "hippo", "spider", "fly" ], "category_items": [ "fly", "spider", "hippo" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "470": { "input": "photographer, whale, sweater, hippo, shark", "output": "whale, shark, hippo", "words": [ "photographer", "whale", "sweater", "hippo", "shark" ], "category_items": [ "whale", "shark", "hippo" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 2 }, "471": { "input": "sandwich, spider, skirt, duck, bat", "output": "bat, spider, duck", "words": [ "sandwich", "spider", "skirt", "duck", "bat" ], "category_items": [ "bat", "spider", "duck" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "472": { "input": "truck, designer, tiger, giraffe, actor, snail", "output": "snail, giraffe, tiger", "words": [ "truck", "designer", "tiger", "giraffe", "actor", "snail" ], "category_items": [ "snail", "giraffe", "tiger" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "473": { "input": "dolphin, gold, dress, spaceship, monkey, bat", "output": "monkey, bat, dolphin", "words": [ "dolphin", "gold", "dress", "spaceship", "monkey", "bat" ], "category_items": [ "monkey", "bat", "dolphin" ], "other_categories": [ "vehicle", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "474": { "input": "pasta, honey, swan, whale, elephant", "output": "swan, whale, elephant", "words": [ "pasta", "honey", "swan", "whale", "elephant" ], "category_items": [ "swan", "whale", "elephant" ], "other_categories": [ "food" ], "num_category_items": 3, "num_others": 2 }, "475": { "input": "panda, tractor, nurse, octopus, mouse, duck", "output": "octopus, panda, duck, mouse", "words": [ "panda", "tractor", "nurse", "octopus", "mouse", "duck" ], "category_items": [ "octopus", "panda", "duck", "mouse" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "476": { "input": "dentist, mechanic, tiger, hippo, duck, yellow, frog", "output": "hippo, tiger, frog, duck", "words": [ "dentist", "mechanic", "tiger", "hippo", "duck", "yellow", "frog" ], "category_items": [ "hippo", "tiger", "frog", "duck" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 3 }, "477": { "input": "swan, taxi, giraffe, ambulance, goat, gray, panda", "output": "giraffe, goat, swan, panda", "words": [ "swan", "taxi", "giraffe", "ambulance", "goat", "gray", "panda" ], "category_items": [ "giraffe", "goat", "swan", "panda" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "478": { "input": "monkey, goat, truck, elephant, red", "output": "monkey, elephant, goat", "words": [ "monkey", "goat", "truck", "elephant", "red" ], "category_items": [ "monkey", "elephant", "goat" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 2 }, "479": { "input": "octopus, butterfly, fly, green, businesswoman, mechanic", "output": "butterfly, octopus, fly", "words": [ "octopus", "butterfly", "fly", "green", "businesswoman", "mechanic" ], "category_items": [ "butterfly", "octopus", "fly" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 3 }, "480": { "input": "tiger, taxi, monkey, blue, duck, tortoise", "output": "monkey, duck, tiger, tortoise", "words": [ "tiger", "taxi", "monkey", "blue", "duck", "tortoise" ], "category_items": [ "monkey", "duck", "tiger", "tortoise" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 2 }, "481": { "input": "bee, panda, motorway, octopus, actor, butter", "output": "panda, bee, octopus", "words": [ "bee", "panda", "motorway", "octopus", "actor", "butter" 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2 }, "488": { "input": "cook, horse, burger, goat, snail", "output": "goat, horse, snail", "words": [ "cook", "horse", "burger", "goat", "snail" ], "category_items": [ "goat", "horse", "snail" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 2 }, "489": { "input": "penguin, camel, sheep, ambulance, helicopter, donkey", "output": "sheep, penguin, donkey, camel", "words": [ "penguin", "camel", "sheep", "ambulance", "helicopter", "donkey" ], "category_items": [ "sheep", "penguin", "donkey", "camel" ], "other_categories": [ "vehicle" ], "num_category_items": 4, "num_others": 2 }, "490": { "input": "hippo, businessman, green, skirt, goat, lizard", "output": "goat, lizard, hippo", "words": [ "hippo", "businessman", "green", "skirt", "goat", "lizard" ], "category_items": [ "goat", "lizard", "hippo" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "491": { "input": "lemon, zebra, snail, lizard, belt", "output": "zebra, snail, lizard", "words": [ "lemon", "zebra", "snail", "lizard", "belt" ], "category_items": [ "zebra", "snail", "lizard" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "492": { "input": "tiger, dolphin, octopus, blue, actor, snail", "output": "snail, tiger, dolphin, octopus", "words": [ "tiger", "dolphin", "octopus", "blue", "actor", "snail" ], "category_items": [ "snail", "tiger", "dolphin", "octopus" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 2 }, "493": { "input": "brown, shirt, jellyfish, donkey, bat, mouse", "output": "mouse, bat, jellyfish, donkey", "words": [ "brown", "shirt", "jellyfish", "donkey", "bat", "mouse" ], "category_items": [ "mouse", "bat", "jellyfish", "donkey" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "494": { "input": "sandwich, parrot, nurse, ship, chicken, sheep", "output": "chicken, parrot, sheep", 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sheep", "output": "parrot, sheep, donkey, lizard", "words": [ "purple", "donkey", "parrot", "lizard", "plane", "sheep" ], "category_items": [ "parrot", "sheep", "donkey", "lizard" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 2 }, "498": { "input": "glove, banana, duck, horse, goat", "output": "horse, goat, duck", "words": [ "glove", "banana", "duck", "horse", "goat" ], "category_items": [ "horse", "goat", "duck" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "499": { "input": "camel, octopus, orange, ship, olives, duck", "output": "camel, duck, octopus", "words": [ "camel", "octopus", "orange", "ship", "olives", "duck" ], "category_items": [ "camel", "duck", "octopus" ], "other_categories": [ "food", "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "500": { "input": "donkey, fly, pink, bee, motorway, butter", "output": "bee, fly, donkey", "words": [ "donkey", "fly", "pink", "bee", "motorway", "butter" ], "category_items": [ "bee", "fly", "donkey" ], "other_categories": [ "vehicle", "food", "color" ], "num_category_items": 3, "num_others": 3 }, "501": { "input": "horse, nurse, penguin, duck, snake, orange", "output": "horse, snake, penguin, duck", "words": [ "horse", "nurse", "penguin", "duck", "snake", "orange" ], "category_items": [ "horse", "snake", "penguin", "duck" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 2 }, "502": { "input": "gray, dolphin, whale, cookie, rabbit", "output": "rabbit, dolphin, whale", "words": [ "gray", "dolphin", "whale", "cookie", "rabbit" ], "category_items": [ "rabbit", "dolphin", "whale" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "503": { "input": "mouse, fly, duck, kiwi, camel, car", "output": "duck, mouse, fly, camel", "words": [ "mouse", "fly", "duck", "kiwi", "camel", "car" ], "category_items": [ "duck", "mouse", "fly", "camel" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "504": { "input": "jacket, duck, sweater, swan, shark, brown, mouse", "output": "duck, shark, mouse, swan", "words": [ "jacket", "duck", "sweater", "swan", "shark", "brown", "mouse" ], "category_items": [ "duck", "shark", "mouse", "swan" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "505": { "input": "dress, horse, fly, gold, nurse, frog, tortoise", "output": "tortoise, frog, fly, horse", "words": [ "dress", "horse", "fly", "gold", "nurse", "frog", "tortoise" ], "category_items": [ "tortoise", "frog", "fly", "horse" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "506": { "input": "actor, train, dolphin, giraffe, donkey, bee", "output": "donkey, dolphin, bee, giraffe", "words": [ "actor", "train", "dolphin", "giraffe", "donkey", "bee" ], "category_items": [ "donkey", "dolphin", "bee", "giraffe" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "507": { "input": "whale, purple, bee, chicken, cook, strawberry, giraffe", "output": "giraffe, bee, whale, chicken", "words": [ "whale", "purple", "bee", "chicken", "cook", "strawberry", "giraffe" ], "category_items": [ "giraffe", "bee", "whale", "chicken" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 4, "num_others": 3 }, "508": { "input": "chicken, lion, frog, pajamas, red, swimsuit, hippo", "output": "frog, chicken, hippo, lion", "words": [ "chicken", "lion", "frog", "pajamas", "red", "swimsuit", "hippo" ], "category_items": [ "frog", "chicken", "hippo", "lion" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "509": { "input": "swan, belt, donkey, duck, fly, yellow", "output": "donkey, fly, swan, duck", "words": [ "swan", "belt", "donkey", "duck", "fly", "yellow" ], "category_items": [ "donkey", "fly", "swan", "duck" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "510": { "input": "butterfly, dolphin, artist, green, dress, bat", "output": "bat, butterfly, dolphin", "words": [ "butterfly", "dolphin", "artist", "green", "dress", "bat" ], "category_items": [ "bat", "butterfly", "dolphin" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "511": { "input": "spider, taxi, butterfly, fly, gray", "output": "butterfly, fly, spider", "words": [ "spider", "taxi", "butterfly", "fly", "gray" ], "category_items": [ "butterfly", "fly", "spider" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 2 }, "512": { "input": "snail, horse, green, blue, butterfly, scarf", "output": "butterfly, horse, snail", "words": [ "snail", "horse", "green", "blue", "butterfly", "scarf" ], "category_items": [ "butterfly", "horse", "snail" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "513": { "input": "helicopter, glove, chicken, doctor, dolphin, duck, lizard", "output": "dolphin, duck, lizard, chicken", "words": [ "helicopter", "glove", "chicken", "doctor", "dolphin", "duck", "lizard" ], "category_items": [ "dolphin", "duck", "lizard", "chicken" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "514": { "input": "sheep, pear, dress, horse, chicken, monkey", "output": "monkey, horse, sheep, chicken", "words": [ "sheep", "pear", "dress", "horse", "chicken", "monkey" ], "category_items": [ "monkey", "horse", "sheep", "chicken" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 2 }, "515": { "input": "rabbit, glove, donkey, orange, duck, belt, fly", "output": "duck, donkey, rabbit, fly", "words": [ "rabbit", "glove", "donkey", "orange", "duck", "belt", "fly" ], "category_items": [ "duck", "donkey", "rabbit", "fly" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "516": { "input": "snail, lion, mechanic, jacket, spider", "output": "snail, spider, lion", "words": [ "snail", "lion", "mechanic", "jacket", "spider" ], "category_items": [ "snail", "spider", "lion" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 2 }, "517": { "input": "parrot, snake, sheep, taxi, ship", "output": "sheep, parrot, snake", "words": [ "parrot", "snake", "sheep", "taxi", "ship" ], "category_items": [ "sheep", "parrot", "snake" ], "other_categories": [ "vehicle" ], "num_category_items": 3, "num_others": 2 }, "518": { "input": "yellow, spider, truck, giraffe, dolphin", "output": "giraffe, dolphin, spider", "words": [ "yellow", "spider", "truck", "giraffe", "dolphin" ], "category_items": [ "giraffe", "dolphin", "spider" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 2 }, "519": { "input": "bat, frog, 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"yellow", "jellyfish", "sweater", "donkey", "engineer", "camel" ], "category_items": [ "donkey", "jellyfish", "camel" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "526": { "input": "duck, fly, butterfly, cookie, pink", "output": "duck, butterfly, fly", "words": [ "duck", "fly", "butterfly", "cookie", "pink" ], "category_items": [ "duck", "butterfly", "fly" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "527": { "input": "truck, monkey, snake, frog, nurse, whale", "output": "whale, frog, snake, monkey", "words": [ "truck", "monkey", "snake", "frog", "nurse", "whale" ], "category_items": [ "whale", "frog", "snake", "monkey" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "528": { "input": "jellyfish, octopus, goat, cook, brown, tortoise, doctor", "output": "goat, jellyfish, tortoise, octopus", "words": [ "jellyfish", "octopus", "goat", "cook", "brown", "tortoise", "doctor" ], "category_items": [ "goat", "jellyfish", "tortoise", "octopus" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 3 }, "529": { "input": "jeans, lion, dolphin, jellyfish, apple", "output": "lion, dolphin, jellyfish", "words": [ "jeans", "lion", "dolphin", "jellyfish", "apple" ], "category_items": [ "lion", "dolphin", "jellyfish" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "530": { "input": "panda, actor, sandwich, donkey, lizard", "output": "lizard, panda, donkey", "words": [ "panda", "actor", "sandwich", "donkey", "lizard" ], "category_items": [ "lizard", "panda", "donkey" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 2 }, "531": { "input": "elephant, parrot, donkey, waiter, businesswoman", "output": "donkey, parrot, elephant", "words": [ "elephant", "parrot", "donkey", "waiter", "businesswoman" ], "category_items": [ "donkey", "parrot", "elephant" ], "other_categories": [ "profession" ], "num_category_items": 3, "num_others": 2 }, "532": { "input": "nurse, monkey, meatballs, dolphin, sausage, duck", "output": "duck, dolphin, monkey", "words": [ "nurse", "monkey", "meatballs", "dolphin", "sausage", "duck" ], "category_items": [ "duck", "dolphin", "monkey" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 3 }, "533": { "input": "lizard, red, duck, goat, truck", "output": "goat, lizard, duck", "words": [ "lizard", "red", "duck", "goat", "truck" ], "category_items": [ "goat", "lizard", "duck" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 2 }, "534": { "input": "whale, tortoise, spider, car, jellyfish, pink, journalist", "output": "spider, tortoise, whale, jellyfish", "words": [ "whale", "tortoise", "spider", "car", "jellyfish", "pink", "journalist" ], "category_items": [ "spider", "tortoise", "whale", "jellyfish" ], 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}, "1034": { "input": "shark, fly, pear, butterfly, car", "output": "butterfly, shark, fly", "words": [ "shark", "fly", "pear", "butterfly", "car" ], "category_items": [ "butterfly", "shark", "fly" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "1035": { "input": "white, taxi, elephant, shark, zebra", "output": "elephant, zebra, shark", "words": [ "white", "taxi", "elephant", "shark", "zebra" ], "category_items": [ "elephant", "zebra", "shark" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 2 }, "1036": { "input": "frog, truck, duck, train, penguin, whale, jacket", "output": "frog, penguin, whale, duck", "words": [ "frog", "truck", "duck", "train", "penguin", "whale", "jacket" ], "category_items": [ "frog", "penguin", "whale", "duck" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1037": { "input": "brown, mouse, lion, spaceship, frog, bee", "output": "lion, 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[ "vehicle", "color" ], "num_category_items": 3, "num_others": 2 }, "1211": { "input": "sheep, horse, helicopter, tiger, frog, journalist", "output": "horse, tiger, frog, sheep", "words": [ "sheep", "horse", "helicopter", "tiger", "frog", "journalist" ], "category_items": [ "horse", "tiger", "frog", "sheep" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "1212": { "input": "plane, mouse, orange, hippo, octopus, lizard", "output": "hippo, lizard, mouse, octopus", "words": [ "plane", "mouse", "orange", "hippo", "octopus", "lizard" ], "category_items": [ "hippo", "lizard", "mouse", "octopus" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 2 }, "1213": { "input": "car, watermelon, spider, parrot, fly", "output": "fly, parrot, spider", "words": [ "car", "watermelon", "spider", "parrot", "fly" ], "category_items": [ "fly", "parrot", "spider" ], "other_categories": [ "food", "vehicle" ], 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"parrot, journalist, goat, whale, dress, pink", "output": "whale, goat, parrot", "words": [ "parrot", "journalist", "goat", "whale", "dress", "pink" ], "category_items": [ "whale", "goat", "parrot" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1218": { "input": "dentist, shark, whale, parrot, jellyfish, helicopter", "output": "parrot, jellyfish, whale, shark", "words": [ "dentist", "shark", "whale", "parrot", "jellyfish", "helicopter" ], "category_items": [ "parrot", "jellyfish", "whale", "shark" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "1219": { "input": "duck, tortoise, horse, honey, taxi, artist", "output": "horse, tortoise, duck", "words": [ "duck", "tortoise", "horse", "honey", "taxi", "artist" ], "category_items": [ "horse", "tortoise", "duck" ], "other_categories": [ "profession", "food", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "1220": { "input": "belt, hippo, tractor, zebra, jellyfish", "output": "jellyfish, hippo, zebra", "words": [ "belt", "hippo", "tractor", "zebra", "jellyfish" ], "category_items": [ "jellyfish", "hippo", "zebra" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1221": { "input": "pink, hat, zebra, spider, designer, lizard", "output": "lizard, spider, zebra", "words": [ "pink", "hat", "zebra", "spider", "designer", "lizard" ], "category_items": [ "lizard", "spider", "zebra" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1222": { "input": "dolphin, jacket, shark, sock, rabbit, monkey, dress", "output": "monkey, rabbit, shark, dolphin", "words": [ "dolphin", "jacket", "shark", "sock", "rabbit", "monkey", "dress" ], "category_items": [ "monkey", "rabbit", "shark", "dolphin" ], "other_categories": [ "clothing" ], "num_category_items": 4, "num_others": 3 }, "1223": { "input": "train, spider, sheep, yellow, 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}, "1226": { "input": "sock, jellyfish, bee, cat, elephant, blue", "output": "jellyfish, bee, elephant, cat", "words": [ "sock", "jellyfish", "bee", "cat", "elephant", "blue" ], "category_items": [ "jellyfish", "bee", "elephant", "cat" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1227": { "input": "helicopter, dolphin, photographer, hippo, fly, tortoise", "output": "dolphin, tortoise, hippo, fly", "words": [ "helicopter", "dolphin", "photographer", "hippo", "fly", "tortoise" ], "category_items": [ "dolphin", "tortoise", "hippo", "fly" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "1228": { "input": "motorway, duck, sock, snake, gray, donkey", "output": "duck, donkey, snake", "words": [ "motorway", "duck", "sock", "snake", "gray", "donkey" ], "category_items": [ "duck", "donkey", "snake" ], "other_categories": [ "vehicle", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1229": { "input": "camel, engineer, horse, shark, octopus, ice cream", "output": "octopus, horse, camel, shark", "words": [ "camel", "engineer", "horse", "shark", "octopus", "ice cream" ], "category_items": [ "octopus", "horse", "camel", "shark" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 2 }, "1230": { "input": "sock, snail, dolphin, gray, giraffe", "output": "giraffe, snail, dolphin", "words": [ "sock", "snail", "dolphin", "gray", "giraffe" ], "category_items": [ "giraffe", "snail", "dolphin" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1231": { "input": "duck, waiter, penguin, burger, octopus, chicken, sock", "output": "octopus, penguin, duck, chicken", "words": [ "duck", "waiter", "penguin", "burger", "octopus", "chicken", "sock" ], "category_items": [ "octopus", "penguin", "duck", "chicken" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1232": { "input": "actor, blue, tiger, tortoise, dentist, fly", "output": "tortoise, tiger, fly", "words": [ "actor", "blue", "tiger", "tortoise", "dentist", "fly" ], "category_items": [ "tortoise", "tiger", "fly" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 3 }, "1233": { "input": "bat, elephant, dolphin, tiger, taxi, gray, blue", "output": "bat, tiger, elephant, dolphin", "words": [ "bat", "elephant", "dolphin", "tiger", "taxi", "gray", "blue" ], "category_items": [ "bat", "tiger", "elephant", "dolphin" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "1234": { "input": "chocolate, bean, duck, frog, truck, zebra", "output": "zebra, frog, duck", "words": [ "chocolate", "bean", "duck", "frog", "truck", "zebra" ], "category_items": [ "zebra", "frog", "duck" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "1235": { "input": "shirt, white, mechanic, parrot, 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"category_items": [ "mouse", "bee", "hippo", "panda" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "1301": { "input": "bee, bat, cat, jacket, onion", "output": "bat, cat, bee", "words": [ "bee", "bat", "cat", "jacket", "onion" ], "category_items": [ "bat", "cat", "bee" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1302": { "input": "helicopter, giraffe, swan, jeans, frog, hippo, soup", "output": "swan, hippo, frog, giraffe", "words": [ "helicopter", "giraffe", "swan", "jeans", "frog", "hippo", "soup" ], "category_items": [ "swan", "hippo", "frog", "giraffe" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1303": { "input": "meatballs, jeans, zebra, elephant, parrot", "output": "zebra, parrot, elephant", "words": [ "meatballs", "jeans", "zebra", "elephant", "parrot" ], "category_items": [ "zebra", "parrot", "elephant" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1304": { "input": "goat, sheep, penguin, engineer, mechanic, donkey, lemon", "output": "penguin, sheep, donkey, goat", "words": [ "goat", "sheep", "penguin", "engineer", "mechanic", "donkey", "lemon" ], "category_items": [ "penguin", "sheep", "donkey", "goat" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 3 }, "1305": { "input": "pajamas, rabbit, zebra, duck, soup", "output": "zebra, rabbit, duck", "words": [ "pajamas", "rabbit", "zebra", "duck", "soup" ], "category_items": [ "zebra", "rabbit", "duck" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1306": { "input": "bat, potato, camel, zebra, shoe", "output": "camel, bat, zebra", "words": [ "bat", "potato", "camel", "zebra", "shoe" ], "category_items": [ "camel", "bat", "zebra" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1307": { "input": "zebra, cat, pajamas, artist, rabbit", "output": "rabbit, zebra, cat", "words": [ "zebra", "cat", "pajamas", "artist", "rabbit" ], "category_items": [ "rabbit", "zebra", "cat" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1308": { "input": "zebra, red, shirt, chicken, octopus, tortoise", "output": "chicken, tortoise, zebra, octopus", "words": [ "zebra", "red", "shirt", "chicken", "octopus", "tortoise" ], "category_items": [ "chicken", "tortoise", "zebra", "octopus" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1309": { "input": "snail, monkey, horse, scarf, yellow", "output": "monkey, snail, horse", "words": [ "snail", "monkey", "horse", "scarf", "yellow" ], "category_items": [ "monkey", "snail", "horse" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1310": { "input": "butterfly, monkey, hat, pineapple, tortoise, carrot, parrot", "output": "parrot, tortoise, monkey, butterfly", "words": [ "butterfly", "monkey", "hat", "pineapple", "tortoise", "carrot", "parrot" ], "category_items": [ "parrot", "tortoise", "monkey", "butterfly" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1311": { "input": "goat, monkey, pink, camel, whale, tomato", "output": "monkey, camel, goat, whale", "words": [ "goat", "monkey", "pink", "camel", "whale", "tomato" ], "category_items": [ "monkey", "camel", "goat", "whale" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 2 }, "1312": { "input": "whale, fly, green, chicken, camel, red, tomato", "output": "whale, camel, fly, chicken", "words": [ "whale", "fly", "green", "chicken", "camel", "red", "tomato" ], "category_items": [ "whale", "camel", "fly", "chicken" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 3 }, "1313": { "input": "elephant, teacher, cookie, whale, lizard, monkey", "output": "whale, lizard, monkey, elephant", "words": [ "elephant", "teacher", "cookie", "whale", "lizard", "monkey" ], "category_items": [ "whale", "lizard", "monkey", "elephant" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 2 }, "1314": { "input": "whale, blue, jellyfish, snail, skirt, goat", "output": "jellyfish, whale, snail, goat", "words": [ "whale", "blue", "jellyfish", "snail", "skirt", "goat" ], "category_items": [ "jellyfish", "whale", "snail", "goat" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1315": { "input": "duck, green, hippo, elephant, penguin, pea", "output": "duck, hippo, elephant, penguin", "words": [ "duck", "green", "hippo", "elephant", "penguin", "pea" ], "category_items": [ "duck", "hippo", "elephant", "penguin" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 2 }, "1316": { "input": "red, tortoise, donkey, monkey, purple", "output": "tortoise, donkey, monkey", "words": [ "red", "tortoise", "donkey", "monkey", "purple" ], "category_items": [ "tortoise", "donkey", "monkey" ], "other_categories": [ "color" ], "num_category_items": 3, "num_others": 2 }, "1317": { "input": "hippo, yellow, purple, snake, parrot, yoghurt", "output": "hippo, snake, parrot", "words": [ "hippo", "yellow", "purple", "snake", "parrot", "yoghurt" ], "category_items": [ "hippo", "snake", "parrot" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 3 }, "1318": { "input": "camel, mechanic, photographer, skirt, horse, panda, lion", "output": "camel, horse, panda, lion", "words": [ "camel", "mechanic", "photographer", "skirt", "horse", "panda", "lion" ], "category_items": [ "camel", "horse", "panda", "lion" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1319": { "input": "rabbit, monkey, elephant, plane, trousers", "output": "monkey, rabbit, elephant", "words": [ "rabbit", "monkey", "elephant", "plane", "trousers" ], "category_items": [ "monkey", "rabbit", "elephant" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1320": { "input": "bat, waiter, dolphin, gold, lizard", "output": "bat, lizard, dolphin", "words": [ "bat", "waiter", "dolphin", "gold", "lizard" ], "category_items": [ "bat", "lizard", "dolphin" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 2 }, "1321": { "input": "whale, shoe, bat, plane, giraffe, cat, dress", "output": "bat, whale, giraffe, cat", "words": [ "whale", "shoe", "bat", "plane", "giraffe", "cat", "dress" ], "category_items": [ "bat", "whale", "giraffe", "cat" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1322": { "input": "dentist, snail, duck, monkey, butterfly, designer", "output": "duck, monkey, snail, butterfly", "words": [ "dentist", "snail", "duck", "monkey", "butterfly", "designer" ], "category_items": [ "duck", "monkey", "snail", "butterfly" ], "other_categories": [ "profession" ], "num_category_items": 4, "num_others": 2 }, "1323": { "input": "doctor, tractor, frog, trousers, hippo, panda", "output": "panda, hippo, frog", "words": [ "doctor", "tractor", "frog", "trousers", "hippo", "panda" ], "category_items": [ "panda", "hippo", "frog" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1324": { "input": "fly, journalist, jeans, taxi, octopus, camel", "output": "octopus, fly, camel", "words": [ "fly", "journalist", "jeans", "taxi", "octopus", "camel" ], "category_items": [ "octopus", "fly", "camel" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1325": { "input": "businessman, snail, journalist, parrot, fly", "output": "parrot, fly, snail", "words": [ "businessman", "snail", "journalist", "parrot", "fly" ], "category_items": [ "parrot", "fly", "snail" ], "other_categories": [ "profession" ], "num_category_items": 3, "num_others": 2 }, "1326": { "input": "donkey, pajamas, shirt, fly, octopus, ship, butterfly", "output": "donkey, octopus, butterfly, fly", "words": [ "donkey", "pajamas", "shirt", "fly", "octopus", "ship", "butterfly" ], "category_items": [ "donkey", "octopus", "butterfly", "fly" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1327": { "input": "pink, panda, hippo, horse, motorway", "output": "hippo, panda, horse", "words": [ "pink", "panda", "hippo", "horse", "motorway" ], "category_items": [ "hippo", "panda", "horse" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 2 }, "1328": { "input": "truck, taxi, zebra, nurse, mouse, tiger, lion", "output": "tiger, mouse, lion, zebra", "words": [ "truck", "taxi", "zebra", "nurse", "mouse", "tiger", "lion" ], "category_items": [ "tiger", "mouse", "lion", "zebra" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "1329": { "input": "ambulance, tiger, sock, donkey, gold, parrot", "output": "donkey, tiger, parrot", "words": [ "ambulance", "tiger", "sock", "donkey", "gold", "parrot" ], "category_items": [ "donkey", "tiger", "parrot" ], "other_categories": [ "vehicle", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1330": { "input": "mouse, spider, goat, bat, potato, belt, teacher", "output": "bat, mouse, goat, spider", "words": [ "mouse", "spider", "goat", "bat", "potato", "belt", "teacher" ], "category_items": [ "bat", "mouse", "goat", "spider" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1331": { "input": "spaceship, businesswoman, monkey, sweater, snake, hippo, octopus", "output": "octopus, monkey, hippo, snake", "words": [ "spaceship", "businesswoman", "monkey", "sweater", "snake", "hippo", "octopus" ], "category_items": [ "octopus", "monkey", "hippo", "snake" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1332": { "input": "lion, panda, monkey, mechanic, cat, pasta", "output": "monkey, panda, lion, cat", "words": [ "lion", "panda", "monkey", "mechanic", "cat", "pasta" ], "category_items": [ "monkey", "panda", "lion", "cat" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 2 }, "1333": { "input": "rabbit, camel, trousers, chicken, white, apple, lion", "output": "lion, chicken, rabbit, camel", "words": [ "rabbit", "camel", "trousers", "chicken", "white", "apple", "lion" ], "category_items": [ "lion", "chicken", "rabbit", "camel" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1334": { "input": "lion, white, penguin, jellyfish, apple, rabbit", "output": "penguin, lion, jellyfish, rabbit", "words": [ "lion", "white", "penguin", "jellyfish", "apple", "rabbit" ], "category_items": [ "penguin", "lion", "jellyfish", "rabbit" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 2 }, "1335": { "input": "burger, butterfly, goat, glove, jacket, rabbit", "output": "butterfly, goat, rabbit", "words": [ "burger", "butterfly", "goat", "glove", "jacket", "rabbit" ], "category_items": [ "butterfly", "goat", "rabbit" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1336": { "input": "goat, tiger, giraffe, scarf, frog, artist, pear", "output": "goat, tiger, frog, giraffe", "words": [ "goat", "tiger", "giraffe", "scarf", "frog", "artist", "pear" ], "category_items": [ "goat", "tiger", "frog", "giraffe" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1337": { "input": "candy, nurse, duck, frog, tractor, hippo, jellyfish", "output": "hippo, frog, duck, jellyfish", "words": [ "candy", "nurse", "duck", "frog", "tractor", "hippo", "jellyfish" ], "category_items": [ "hippo", "frog", "duck", "jellyfish" ], "other_categories": [ "profession", "food", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "1338": { "input": "frog, actor, red, bat, duck, white", "output": "duck, bat, frog", "words": [ "frog", "actor", "red", "bat", "duck", "white" ], "category_items": [ "duck", "bat", "frog" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 3 }, "1339": { "input": "whale, lion, train, shark, zebra, gray", "output": "whale, shark, zebra, lion", "words": [ "whale", "lion", "train", "shark", "zebra", "gray" ], "category_items": [ "whale", "shark", "zebra", "lion" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 2 }, "1340": { "input": "hippo, photographer, elephant, swan, sweater", "output": "elephant, hippo, swan", "words": [ "hippo", "photographer", "elephant", "swan", "sweater" ], "category_items": [ "elephant", "hippo", "swan" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1341": { "input": "lizard, scarf, donkey, trousers, orange, dolphin", "output": "donkey, lizard, dolphin", "words": [ "lizard", "scarf", "donkey", "trousers", "orange", "dolphin" ], "category_items": [ "donkey", "lizard", "dolphin" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1342": { "input": "pink, glove, giraffe, mouse, frog", "output": "mouse, giraffe, frog", "words": [ "pink", "glove", "giraffe", "mouse", "frog" ], "category_items": [ "mouse", "giraffe", "frog" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1343": { "input": "ambulance, spider, pink, goat, jellyfish, octopus", "output": "jellyfish, octopus, goat, spider", "words": [ "ambulance", "spider", "pink", "goat", "jellyfish", "octopus" ], "category_items": [ "jellyfish", "octopus", "goat", "spider" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 2 }, "1344": { "input": "scarf, mechanic, bat, helicopter, butterfly, mouse, penguin", "output": "bat, penguin, mouse, butterfly", "words": [ "scarf", "mechanic", "bat", "helicopter", "butterfly", "mouse", "penguin" ], "category_items": [ "bat", "penguin", "mouse", "butterfly" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1345": { "input": "honey, jellyfish, motorway, snail, trousers, spider, penguin", "output": "snail, jellyfish, penguin, spider", "words": [ "honey", "jellyfish", "motorway", "snail", "trousers", "spider", "penguin" ], "category_items": [ "snail", "jellyfish", "penguin", "spider" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1346": { "input": "sheep, orange, scarf, artist, goat, jellyfish", "output": "jellyfish, sheep, goat", "words": [ "sheep", "orange", "scarf", "artist", "goat", "jellyfish" ], "category_items": [ "jellyfish", "sheep", "goat" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1347": { "input": "giraffe, panda, sweater, dolphin, carrot, artist", "output": "giraffe, panda, dolphin", "words": [ "giraffe", "panda", "sweater", "dolphin", "carrot", "artist" ], "category_items": [ "giraffe", "panda", "dolphin" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1348": { "input": "chicken, elephant, designer, skirt, bread, octopus", "output": "chicken, octopus, elephant", "words": [ "chicken", "elephant", "designer", "skirt", "bread", "octopus" ], "category_items": [ "chicken", "octopus", "elephant" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1349": { "input": "yellow, pajamas, dolphin, monkey, jeans, fly, snake", "output": "monkey, dolphin, fly, snake", "words": [ "yellow", "pajamas", "dolphin", "monkey", "jeans", "fly", "snake" ], "category_items": [ "monkey", "dolphin", "fly", "snake" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1350": { "input": "tiger, car, hippo, bee, sausage", "output": "hippo, tiger, bee", "words": [ "tiger", "car", "hippo", "bee", "sausage" ], "category_items": [ "hippo", "tiger", "bee" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "1351": { "input": "nurse, zebra, panda, tiger, skirt, goat", "output": "panda, tiger, zebra, goat", "words": [ "nurse", "zebra", "panda", "tiger", "skirt", "goat" ], "category_items": [ "panda", "tiger", "zebra", "goat" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1352": { "input": "penguin, swimsuit, waiter, goat, pasta, duck, giraffe", "output": "duck, penguin, goat, giraffe", "words": [ "penguin", "swimsuit", "waiter", "goat", "pasta", "duck", "giraffe" ], "category_items": [ "duck", "penguin", "goat", "giraffe" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1353": { "input": "spaceship, lion, hippo, goat, donkey, shoe", "output": "lion, hippo, goat, donkey", "words": [ "spaceship", "lion", "hippo", "goat", "donkey", "shoe" ], "category_items": [ "lion", "hippo", "goat", "donkey" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1354": { "input": "penguin, swan, panda, bread, sock, snail, pajamas", "output": "snail, swan, penguin, panda", "words": [ "penguin", "swan", "panda", "bread", "sock", "snail", "pajamas" ], "category_items": [ "snail", "swan", "penguin", "panda" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1355": { "input": "bat, meatballs, spaceship, snake, butterfly, glove", "output": "bat, snake, butterfly", "words": [ "bat", "meatballs", "spaceship", "snake", "butterfly", "glove" ], "category_items": [ "bat", "snake", "butterfly" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1356": { "input": "truck, pink, snail, penguin, helicopter, spider", "output": "snail, penguin, spider", "words": [ "truck", "pink", "snail", "penguin", "helicopter", "spider" ], "category_items": [ "snail", "penguin", "spider" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "1357": { "input": "shoe, frog, bus, fly, sweater, donkey, rabbit", "output": "donkey, frog, fly, rabbit", "words": [ "shoe", "frog", "bus", "fly", "sweater", "donkey", "rabbit" ], "category_items": [ "donkey", "frog", "fly", "rabbit" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1358": { "input": "olives, zebra, plane, jellyfish, yellow, butterfly", "output": "zebra, jellyfish, butterfly", "words": [ "olives", "zebra", "plane", "jellyfish", "yellow", "butterfly" ], "category_items": [ "zebra", "jellyfish", "butterfly" ], "other_categories": [ "vehicle", "food", "color" ], "num_category_items": 3, "num_others": 3 }, "1359": { "input": "swan, goat, monkey, purple, bus", "output": "monkey, goat, swan", "words": [ "swan", "goat", "monkey", "purple", "bus" ], "category_items": [ "monkey", "goat", "swan" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 2 }, "1360": { "input": "artist, scarf, parrot, cat, yellow, zebra, butterfly", "output": "butterfly, cat, zebra, parrot", "words": [ "artist", "scarf", "parrot", "cat", "yellow", "zebra", "butterfly" ], "category_items": [ "butterfly", "cat", "zebra", "parrot" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1361": { "input": "horse, panda, white, chocolate, camel, swan", "output": "camel, horse, swan, panda", "words": [ "horse", "panda", "white", "chocolate", "camel", "swan" ], "category_items": [ "camel", "horse", "swan", "panda" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 2 }, "1362": { "input": "helicopter, frog, bee, ambulance, tortoise, bus", "output": "bee, frog, tortoise", "words": [ "helicopter", "frog", "bee", "ambulance", "tortoise", "bus" ], "category_items": [ "bee", "frog", "tortoise" ], "other_categories": [ "vehicle" ], "num_category_items": 3, "num_others": 3 }, "1363": { "input": "duck, dolphin, rice, panda, journalist, tractor, chicken", "output": "dolphin, duck, chicken, panda", "words": [ "duck", "dolphin", "rice", "panda", "journalist", "tractor", "chicken" ], "category_items": [ "dolphin", "duck", "chicken", "panda" ], "other_categories": [ "profession", "food", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "1364": { "input": "fly, ambulance, sheep, pink, giraffe", "output": "fly, sheep, giraffe", "words": [ "fly", "ambulance", "sheep", "pink", "giraffe" ], "category_items": [ "fly", "sheep", "giraffe" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 2 }, "1365": { "input": "cat, swan, scarf, donkey, dress, mango", "output": "cat, swan, donkey", "words": [ "cat", "swan", "scarf", "donkey", "dress", "mango" ], "category_items": [ "cat", "swan", "donkey" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1366": { "input": "tortoise, soup, snake, mango, photographer, sheep", "output": "snake, tortoise, sheep", "words": [ "tortoise", "soup", "snake", "mango", "photographer", "sheep" ], "category_items": [ "snake", "tortoise", "sheep" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 3 }, "1367": { "input": "camel, butterfly, businessman, donkey, tomato", "output": "camel, donkey, butterfly", "words": [ "camel", "butterfly", "businessman", "donkey", "tomato" ], "category_items": [ "camel", "donkey", "butterfly" ], "other_categories": [ "profession", "food" ], 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"num_category_items": 3, "num_others": 3 }, "1371": { "input": "fly, cat, zebra, watermelon, burger, chicken", "output": "fly, chicken, zebra, cat", "words": [ "fly", "cat", "zebra", "watermelon", "burger", "chicken" ], "category_items": [ "fly", "chicken", "zebra", "cat" ], "other_categories": [ "food" ], "num_category_items": 4, "num_others": 2 }, "1372": { "input": "monkey, bee, jellyfish, pink, swimsuit, taxi, octopus", "output": "jellyfish, bee, octopus, monkey", "words": [ "monkey", "bee", "jellyfish", "pink", "swimsuit", "taxi", "octopus" ], "category_items": [ "jellyfish", "bee", "octopus", "monkey" ], "other_categories": [ "clothing", "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "1373": { "input": "dolphin, parrot, actor, gray, hippo", "output": "dolphin, parrot, hippo", "words": [ "dolphin", "parrot", "actor", "gray", "hippo" ], "category_items": [ "dolphin", "parrot", "hippo" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 2 }, "1374": { "input": "camel, giraffe, lizard, swan, spaceship, ambulance, businesswoman", "output": "camel, lizard, giraffe, swan", "words": [ "camel", "giraffe", "lizard", "swan", "spaceship", "ambulance", "businesswoman" ], "category_items": [ "camel", "lizard", "giraffe", "swan" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "1375": { "input": "elephant, shirt, swan, lemon, cat", "output": "elephant, swan, cat", "words": [ "elephant", "shirt", "swan", "lemon", "cat" ], "category_items": [ "elephant", "swan", "cat" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1376": { "input": "train, cat, goat, hippo, ambulance, engineer", "output": "cat, hippo, goat", "words": [ "train", "cat", "goat", "hippo", "ambulance", "engineer" ], "category_items": [ "cat", "hippo", "goat" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "1377": { "input": "tortoise, milk, shark, octopus, artist, glove, cat", "output": "cat, tortoise, octopus, shark", "words": [ "tortoise", "milk", "shark", "octopus", "artist", "glove", "cat" ], "category_items": [ "cat", "tortoise", "octopus", "shark" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1378": { "input": "egg, orange, butterfly, duck, lizard", "output": "butterfly, duck, lizard", "words": [ "egg", "orange", "butterfly", "duck", "lizard" ], "category_items": [ "butterfly", "duck", "lizard" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "1379": { "input": "doctor, rabbit, penguin, fly, designer, zebra", "output": "rabbit, zebra, fly, penguin", "words": [ "doctor", "rabbit", "penguin", "fly", "designer", "zebra" ], "category_items": [ "rabbit", "zebra", "fly", "penguin" ], "other_categories": [ "profession" ], "num_category_items": 4, "num_others": 2 }, "1380": { "input": "dolphin, rabbit, jellyfish, penguin, lemon, sock", "output": "penguin, dolphin, rabbit, jellyfish", "words": [ "dolphin", "rabbit", "jellyfish", "penguin", "lemon", "sock" ], "category_items": [ "penguin", "dolphin", "rabbit", "jellyfish" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1381": { "input": "engineer, camel, horse, dress, zebra, rabbit", "output": "camel, rabbit, horse, zebra", "words": [ "engineer", "camel", "horse", "dress", "zebra", "rabbit" ], "category_items": [ "camel", "rabbit", "horse", "zebra" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1382": { "input": "glove, dolphin, taxi, tiger, shark, soup, octopus", "output": "dolphin, shark, tiger, octopus", "words": [ "glove", "dolphin", "taxi", "tiger", "shark", "soup", "octopus" ], "category_items": [ "dolphin", "shark", "tiger", "octopus" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1383": { "input": "sheep, monkey, businessman, shark, dolphin, waiter", "output": "sheep, shark, dolphin, monkey", "words": [ "sheep", "monkey", "businessman", "shark", "dolphin", "waiter" ], "category_items": [ "sheep", "shark", "dolphin", "monkey" ], "other_categories": [ "profession" ], "num_category_items": 4, "num_others": 2 }, "1384": { "input": "trousers, mouse, whale, butterfly, rabbit, yellow", "output": "rabbit, butterfly, whale, mouse", "words": [ "trousers", "mouse", "whale", "butterfly", "rabbit", "yellow" ], "category_items": [ "rabbit", "butterfly", "whale", "mouse" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1385": { "input": "businesswoman, taxi, tiger, cat, tortoise, camel", "output": "camel, cat, tiger, tortoise", "words": [ "businesswoman", "taxi", "tiger", "cat", "tortoise", "camel" ], "category_items": [ "camel", "cat", "tiger", "tortoise" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "1386": { "input": "spaceship, white, swan, dolphin, snake, camel", "output": "dolphin, camel, snake, swan", "words": [ "spaceship", "white", "swan", "dolphin", "snake", "camel" ], "category_items": [ "dolphin", "camel", "snake", "swan" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 2 }, "1387": { "input": "shark, yellow, scarf, rabbit, tortoise", "output": "shark, rabbit, tortoise", "words": [ "shark", "yellow", "scarf", "rabbit", "tortoise" ], "category_items": [ "shark", "rabbit", "tortoise" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1388": { "input": "elephant, ship, red, swan, ice cream, tiger", "output": "tiger, elephant, swan", "words": [ "elephant", "ship", "red", "swan", "ice cream", "tiger" ], "category_items": [ "tiger", "elephant", "swan" ], "other_categories": [ "food", "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "1389": { "input": "elephant, swan, duck, helicopter, hat, panda, jacket", "output": "panda, elephant, duck, swan", "words": [ "elephant", "swan", "duck", "helicopter", "hat", "panda", "jacket" ], "category_items": [ "panda", "elephant", "duck", "swan" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1390": { "input": "carrot, engineer, parrot, monkey, rabbit, orange", "output": "monkey, rabbit, parrot", "words": [ "carrot", "engineer", "parrot", "monkey", "rabbit", "orange" ], "category_items": [ "monkey", "rabbit", "parrot" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 3 }, "1391": { "input": "chicken, panda, zebra, motorway, train, swan", "output": "chicken, panda, zebra, swan", "words": [ "chicken", "panda", "zebra", "motorway", "train", "swan" ], "category_items": [ "chicken", "panda", "zebra", "swan" ], "other_categories": [ "vehicle" ], "num_category_items": 4, "num_others": 2 }, "1392": { "input": "shark, olives, horse, hippo, teacher", "output": "horse, shark, hippo", "words": [ "shark", "olives", "horse", "hippo", "teacher" ], "category_items": [ "horse", "shark", "hippo" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 2 }, "1393": { "input": "jellyfish, mechanic, giraffe, tortoise, helicopter, donkey", "output": "jellyfish, tortoise, donkey, giraffe", "words": [ "jellyfish", "mechanic", "giraffe", "tortoise", "helicopter", "donkey" ], "category_items": [ "jellyfish", "tortoise", "donkey", "giraffe" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "1394": { "input": "fly, designer, skirt, helicopter, panda, donkey", "output": "panda, donkey, fly", "words": [ "fly", "designer", "skirt", "helicopter", "panda", "donkey" ], "category_items": [ "panda", "donkey", "fly" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1395": { "input": "bus, camel, orange, snake, monkey, white, snail", "output": "monkey, camel, snail, snake", "words": [ "bus", "camel", "orange", "snake", "monkey", "white", "snail" ], "category_items": [ "monkey", "camel", "snail", "snake" ], "other_categories": [ "vehicle", "food", "color" ], "num_category_items": 4, "num_others": 3 }, "1396": { "input": "parrot, elephant, frog, gold, lion, doctor", "output": "parrot, frog, elephant, lion", "words": [ "parrot", "elephant", "frog", "gold", "lion", "doctor" ], "category_items": [ "parrot", "frog", "elephant", "lion" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 2 }, "1397": { "input": "rabbit, horse, whale, businessman, jacket, bee", "output": "horse, rabbit, whale, bee", "words": [ "rabbit", "horse", "whale", "businessman", "jacket", "bee" ], "category_items": [ "horse", "rabbit", "whale", "bee" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1398": { "input": "swimsuit, spider, panda, frog, pea", "output": "frog, spider, panda", "words": [ "swimsuit", "spider", "panda", "frog", "pea" ], "category_items": [ "frog", "spider", "panda" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1399": { "input": "penguin, businesswoman, whale, swimsuit, duck, cat", "output": "cat, whale, penguin, duck", "words": [ "penguin", "businesswoman", "whale", "swimsuit", "duck", "cat" ], "category_items": [ "cat", "whale", "penguin", "duck" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1400": { "input": "tractor, butterfly, donkey, panda, waiter, helicopter, chicken", "output": "donkey, butterfly, chicken, panda", "words": [ "tractor", "butterfly", "donkey", "panda", "waiter", "helicopter", "chicken" ], "category_items": [ "donkey", "butterfly", "chicken", "panda" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "1401": { "input": "donkey, swan, green, octopus, chicken, gray", "output": "swan, donkey, octopus, chicken", "words": [ "donkey", "swan", "green", "octopus", "chicken", "gray" ], "category_items": [ "swan", "donkey", "octopus", "chicken" ], "other_categories": [ "color" ], "num_category_items": 4, "num_others": 2 }, "1402": { "input": "horse, rabbit, businesswoman, parrot, soup, jellyfish, dentist", "output": "jellyfish, parrot, rabbit, horse", "words": [ "horse", "rabbit", "businesswoman", "parrot", "soup", "jellyfish", "dentist" ], "category_items": [ "jellyfish", "parrot", "rabbit", "horse" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 3 }, "1403": { "input": "sock, giraffe, parrot, truck, snail, skirt", "output": "snail, parrot, giraffe", "words": [ "sock", "giraffe", "parrot", "truck", "snail", "skirt" ], "category_items": [ "snail", "parrot", "giraffe" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1404": { "input": "penguin, waiter, whale, brown, chicken, panda", "output": "penguin, chicken, whale, panda", "words": [ "penguin", "waiter", "whale", "brown", "chicken", "panda" ], "category_items": [ "penguin", "chicken", "whale", "panda" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 2 }, "1405": { "input": "shoe, hippo, trousers, dolphin, parrot, shark", "output": "hippo, shark, parrot, dolphin", "words": [ "shoe", "hippo", "trousers", "dolphin", "parrot", "shark" ], "category_items": [ "hippo", "shark", "parrot", "dolphin" ], "other_categories": [ "clothing" ], "num_category_items": 4, "num_others": 2 }, "1406": { "input": "bat, dentist, lion, sheep, sweater", "output": "lion, sheep, bat", "words": [ "bat", "dentist", "lion", "sheep", "sweater" ], "category_items": [ "lion", "sheep", "bat" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1407": { "input": "goat, jacket, octopus, bee, white, bat", "output": "bat, goat, bee, octopus", "words": [ "goat", "jacket", "octopus", "bee", "white", "bat" ], "category_items": [ "bat", "goat", "bee", "octopus" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1408": { "input": "meatballs, fly, sheep, elephant, giraffe, brown", "output": "elephant, giraffe, fly, sheep", "words": [ "meatballs", "fly", "sheep", "elephant", "giraffe", "brown" ], "category_items": [ "elephant", "giraffe", "fly", "sheep" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 2 }, "1409": { "input": "jeans, donkey, shark, purple, mechanic, goat", "output": "donkey, goat, shark", "words": [ "jeans", "donkey", "shark", "purple", "mechanic", "goat" ], "category_items": [ "donkey", "goat", "shark" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1410": { "input": "donkey, jellyfish, photographer, fly, businessman, monkey, ice cream", "output": "fly, jellyfish, donkey, monkey", "words": [ "donkey", "jellyfish", "photographer", "fly", "businessman", "monkey", "ice cream" ], "category_items": [ "fly", "jellyfish", "donkey", "monkey" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 3 }, "1411": { "input": "snail, businesswoman, butter, octopus, purple, giraffe, camel", "output": "giraffe, octopus, snail, camel", "words": [ "snail", "businesswoman", "butter", "octopus", "purple", "giraffe", "camel" ], "category_items": [ "giraffe", "octopus", "snail", "camel" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 4, "num_others": 3 }, "1412": { "input": "tortoise, yellow, white, snail, octopus, hippo", "output": "snail, octopus, hippo, tortoise", "words": [ "tortoise", "yellow", "white", "snail", "octopus", "hippo" ], "category_items": [ "snail", "octopus", "hippo", "tortoise" ], "other_categories": [ "color" ], "num_category_items": 4, "num_others": 2 }, "1413": { "input": "teacher, purple, horse, lizard, trousers, sheep", "output": "horse, sheep, lizard", "words": [ "teacher", "purple", "horse", "lizard", "trousers", "sheep" ], "category_items": [ "horse", "sheep", "lizard" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1414": { "input": "fly, butter, lion, horse, soup", "output": "horse, fly, lion", "words": [ "fly", "butter", "lion", "horse", "soup" ], "category_items": [ "horse", "fly", "lion" ], "other_categories": [ "food" ], "num_category_items": 3, "num_others": 2 }, "1415": { "input": "orange, mouse, lion, camel, whale, pajamas, sock", "output": "lion, camel, whale, mouse", "words": [ "orange", "mouse", "lion", "camel", "whale", "pajamas", "sock" ], "category_items": [ "lion", "camel", "whale", "mouse" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1416": { "input": "swan, tiger, gold, butterfly, actor", "output": "tiger, butterfly, swan", "words": [ "swan", "tiger", "gold", "butterfly", "actor" ], "category_items": [ "tiger", "butterfly", "swan" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 2 }, "1417": { "input": "plane, dolphin, pear, camel, bee, businessman", "output": "camel, bee, dolphin", "words": [ "plane", "dolphin", "pear", "camel", "bee", "businessman" ], "category_items": [ "camel", "bee", "dolphin" ], "other_categories": [ "profession", "food", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "1418": { "input": "cat, jacket, pasta, taxi, tortoise, elephant", "output": "tortoise, elephant, cat", "words": [ "cat", "jacket", "pasta", "taxi", "tortoise", "elephant" ], "category_items": [ "tortoise", "elephant", "cat" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1419": { "input": "penguin, horse, sweater, lizard, olives, purple, tortoise", "output": "tortoise, penguin, horse, lizard", "words": [ "penguin", "horse", "sweater", "lizard", "olives", "purple", "tortoise" ], "category_items": [ "tortoise", "penguin", "horse", "lizard" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1420": { "input": "designer, mouse, frog, tiger, lemon", "output": "mouse, tiger, frog", "words": [ "designer", "mouse", "frog", "tiger", "lemon" ], "category_items": [ "mouse", "tiger", "frog" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 2 }, "1421": { "input": "spider, soup, cook, green, elephant, camel", "output": "spider, camel, elephant", "words": [ "spider", "soup", "cook", "green", "elephant", "camel" ], "category_items": [ "spider", "camel", "elephant" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 3, "num_others": 3 }, "1422": { "input": "goat, tortoise, sweater, engineer, octopus, donkey, shirt", "output": "goat, donkey, tortoise, octopus", "words": [ "goat", "tortoise", "sweater", "engineer", "octopus", "donkey", "shirt" ], "category_items": [ "goat", "donkey", "tortoise", "octopus" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1423": { "input": "doctor, frog, spider, purple, whale", "output": "spider, whale, frog", "words": [ "doctor", "frog", "spider", "purple", "whale" ], "category_items": [ "spider", "whale", "frog" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 2 }, "1424": { "input": "panda, onion, bee, pink, yellow, bat", "output": "panda, bee, bat", "words": [ "panda", "onion", "bee", "pink", "yellow", "bat" ], "category_items": [ "panda", "bee", "bat" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 3 }, "1425": { "input": "spider, duck, white, goat, orange, mouse", "output": "spider, duck, goat, mouse", "words": [ "spider", "duck", "white", "goat", "orange", "mouse" ], 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"photographer", "pasta", "dolphin", "lion", "whale", "purple" ], "category_items": [ "whale", "dolphin", "lion" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 3, "num_others": 3 }, "1435": { "input": "panda, giraffe, elephant, shirt, watermelon, octopus", "output": "octopus, elephant, giraffe, panda", "words": [ "panda", "giraffe", "elephant", "shirt", "watermelon", "octopus" ], "category_items": [ "octopus", "elephant", "giraffe", "panda" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1436": { "input": "lemon, motorway, giraffe, mouse, bee", "output": "giraffe, mouse, bee", "words": [ "lemon", "motorway", "giraffe", "mouse", "bee" ], "category_items": [ "giraffe", "mouse", "bee" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "1437": { "input": "swimsuit, mouse, jellyfish, giraffe, pear, cat", "output": "mouse, giraffe, cat, jellyfish", "words": [ "swimsuit", "mouse", "jellyfish", "giraffe", "pear", "cat" ], "category_items": [ "mouse", "giraffe", "cat", "jellyfish" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1438": { "input": "lizard, sausage, cat, bee, frog, doctor", "output": "cat, frog, lizard, bee", "words": [ "lizard", "sausage", "cat", "bee", "frog", "doctor" ], "category_items": [ "cat", "frog", "lizard", "bee" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 2 }, "1439": { "input": "gray, cookie, butterfly, frog, goat", "output": "goat, butterfly, frog", "words": [ "gray", "cookie", "butterfly", "frog", "goat" ], "category_items": [ "goat", "butterfly", "frog" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "1440": { "input": "penguin, white, tiger, spaceship, tractor, snake", "output": "tiger, penguin, snake", "words": [ "penguin", "white", "tiger", "spaceship", "tractor", "snake" ], "category_items": [ "tiger", "penguin", "snake" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "1441": { "input": "penguin, octopus, goat, ship, belt, fly, sock", "output": "goat, penguin, fly, octopus", "words": [ "penguin", "octopus", "goat", "ship", "belt", "fly", "sock" ], "category_items": [ "goat", "penguin", "fly", "octopus" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1442": { "input": "glove, cat, panda, trousers, swan", "output": "panda, swan, cat", "words": [ "glove", "cat", "panda", "trousers", "swan" ], "category_items": [ "panda", "swan", "cat" ], "other_categories": [ "clothing" ], "num_category_items": 3, "num_others": 2 }, "1443": { "input": "white, zebra, yellow, lion, duck, snail, gray", "output": "lion, duck, zebra, snail", "words": [ "white", "zebra", "yellow", "lion", "duck", "snail", "gray" ], "category_items": [ "lion", "duck", "zebra", "snail" ], "other_categories": [ "color" ], "num_category_items": 4, "num_others": 3 }, "1444": { "input": "goat, tortoise, shark, train, ship, hippo", "output": "goat, hippo, tortoise, shark", "words": [ "goat", "tortoise", "shark", "train", "ship", "hippo" ], "category_items": [ "goat", "hippo", "tortoise", "shark" ], "other_categories": [ "vehicle" ], "num_category_items": 4, "num_others": 2 }, "1445": { "input": "glove, brown, tiger, butterfly, penguin, watermelon", "output": "butterfly, tiger, penguin", "words": [ "glove", "brown", "tiger", "butterfly", "penguin", "watermelon" ], "category_items": [ "butterfly", "tiger", "penguin" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1446": { "input": "whale, pink, swimsuit, tiger, jellyfish, butterfly", "output": "butterfly, tiger, whale, jellyfish", "words": [ "whale", "pink", "swimsuit", "tiger", "jellyfish", "butterfly" ], "category_items": [ "butterfly", "tiger", "whale", "jellyfish" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1447": { "input": "ship, lizard, bee, pineapple, monkey, fly, candy", "output": "bee, lizard, fly, monkey", "words": [ "ship", "lizard", "bee", "pineapple", "monkey", "fly", "candy" ], "category_items": [ "bee", "lizard", "fly", "monkey" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "1448": { "input": "green, monkey, motorway, spider, parrot", "output": "spider, monkey, parrot", "words": [ "green", "monkey", "motorway", "spider", "parrot" ], "category_items": [ "spider", "monkey", "parrot" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 2 }, "1449": { "input": "lizard, shoe, penguin, teacher, mouse, red", "output": "lizard, mouse, penguin", "words": [ "lizard", "shoe", "penguin", "teacher", "mouse", "red" ], "category_items": [ "lizard", "mouse", "penguin" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1450": { "input": "sock, hippo, fly, white, swan", "output": "swan, hippo, fly", "words": [ "sock", "hippo", "fly", "white", "swan" ], "category_items": [ "swan", "hippo", "fly" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1451": { "input": "brown, engineer, tiger, parrot, elephant, zebra, ship", "output": "parrot, elephant, zebra, tiger", "words": [ "brown", "engineer", "tiger", "parrot", "elephant", "zebra", "ship" ], "category_items": [ "parrot", "elephant", "zebra", "tiger" ], "other_categories": [ "profession", "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "1452": { "input": "bus, green, soup, camel, spider, lion, horse", "output": "camel, spider, lion, horse", "words": [ "bus", "green", "soup", "camel", "spider", "lion", "horse" ], "category_items": [ "camel", "spider", "lion", "horse" ], "other_categories": [ "food", "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "1453": { "input": "bee, motorway, lizard, doctor, mouse, duck", "output": "lizard, mouse, duck, bee", "words": [ "bee", "motorway", "lizard", "doctor", "mouse", "duck" ], "category_items": [ "lizard", "mouse", "duck", "bee" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "1454": { "input": "elephant, tortoise, honey, pink, pineapple, lizard", "output": "tortoise, lizard, elephant", "words": [ "elephant", "tortoise", "honey", "pink", "pineapple", "lizard" ], "category_items": [ "tortoise", "lizard", "elephant" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 3 }, "1455": { "input": "bus, dress, chicken, elephant, fly, zebra, blue", "output": "fly, chicken, zebra, elephant", "words": [ "bus", "dress", "chicken", "elephant", "fly", "zebra", "blue" ], "category_items": [ "fly", "chicken", "zebra", "elephant" ], "other_categories": [ "vehicle", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1456": { "input": "bee, octopus, taxi, car, sheep, shark, yellow", "output": "shark, octopus, bee, sheep", "words": [ "bee", "octopus", "taxi", "car", "sheep", "shark", "yellow" ], "category_items": [ "shark", "octopus", "bee", "sheep" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "1457": { "input": "salad, orange, parrot, octopus, giraffe, lion", "output": "giraffe, lion, octopus, parrot", "words": [ "salad", "orange", "parrot", "octopus", "giraffe", "lion" ], "category_items": [ "giraffe", "lion", "octopus", "parrot" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 2 }, "1458": { "input": "motorway, elephant, butterfly, pajamas, engineer, tortoise, bat", "output": "tortoise, elephant, butterfly, bat", "words": [ "motorway", "elephant", "butterfly", "pajamas", "engineer", "tortoise", "bat" ], "category_items": [ "tortoise", "elephant", "butterfly", "bat" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1459": { "input": "hat, dolphin, potato, horse, whale, hippo", "output": "dolphin, whale, horse, hippo", "words": [ "hat", "dolphin", "potato", "horse", "whale", "hippo" ], "category_items": [ "dolphin", "whale", "horse", "hippo" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1460": { "input": "taxi, rabbit, spider, orange, zebra, shark, belt", "output": "zebra, rabbit, shark, spider", "words": [ "taxi", "rabbit", "spider", "orange", "zebra", "shark", "belt" ], "category_items": [ "zebra", "rabbit", "shark", "spider" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1461": { "input": "donkey, trousers, swan, brown, lizard", "output": "swan, lizard, donkey", "words": [ "donkey", "trousers", "swan", "brown", "lizard" ], "category_items": [ "swan", "lizard", "donkey" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1462": { "input": "panda, tortoise, tiger, white, ship", "output": "panda, tiger, tortoise", "words": [ "panda", "tortoise", "tiger", "white", "ship" ], "category_items": [ "panda", "tiger", "tortoise" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 2 }, "1463": { "input": "lizard, ambulance, hippo, cat, goat, tractor, dentist", "output": "hippo, goat, lizard, cat", "words": [ "lizard", "ambulance", "hippo", "cat", "goat", "tractor", "dentist" ], "category_items": [ "hippo", "goat", "lizard", "cat" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "1464": { "input": "car, camel, parrot, skirt, sock, donkey", "output": "camel, donkey, parrot", "words": [ "car", "camel", "parrot", "skirt", "sock", "donkey" ], "category_items": [ "camel", "donkey", "parrot" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1465": { "input": "giraffe, pajamas, penguin, nurse, shoe, tiger, camel", "output": "penguin, camel, giraffe, tiger", "words": [ "giraffe", "pajamas", "penguin", "nurse", "shoe", "tiger", "camel" ], "category_items": [ "penguin", "camel", "giraffe", "tiger" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1466": { "input": "artist, snake, dolphin, panda, yellow, helicopter", "output": "dolphin, panda, snake", "words": [ "artist", "snake", "dolphin", "panda", "yellow", "helicopter" ], "category_items": [ "dolphin", "panda", "snake" ], "other_categories": [ "profession", "color", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "1467": { "input": "bat, swan, actor, whale, train, parrot, skirt", "output": "bat, parrot, whale, swan", "words": [ "bat", "swan", "actor", "whale", "train", "parrot", "skirt" ], "category_items": [ "bat", "parrot", "whale", "swan" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1468": { "input": "horse, chicken, bus, shirt, lion, bee", "output": "bee, chicken, horse, lion", "words": [ "horse", "chicken", "bus", "shirt", "lion", "bee" ], "category_items": [ "bee", "chicken", "horse", "lion" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1469": { "input": "bus, giraffe, snail, pineapple, honey, tortoise", "output": "giraffe, snail, tortoise", "words": [ "bus", "giraffe", "snail", "pineapple", "honey", "tortoise" ], "category_items": [ "giraffe", "snail", "tortoise" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "1470": { "input": "whale, nurse, artist, swan, snail, duck", "output": "swan, duck, whale, snail", "words": [ "whale", "nurse", "artist", "swan", "snail", "duck" ], "category_items": [ "swan", "duck", "whale", "snail" ], "other_categories": [ "profession" ], "num_category_items": 4, "num_others": 2 }, "1471": { "input": "orange, pineapple, duck, octopus, designer, zebra", "output": "octopus, duck, zebra", "words": [ "orange", "pineapple", "duck", "octopus", "designer", "zebra" ], "category_items": [ "octopus", "duck", "zebra" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 3, "num_others": 3 }, "1472": { "input": "blue, hippo, goat, parrot, orange", "output": "goat, hippo, parrot", "words": [ "blue", "hippo", "goat", "parrot", "orange" ], "category_items": [ "goat", "hippo", "parrot" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "1473": { "input": "motorway, hippo, sheep, tractor, sandwich, bee", "output": "sheep, bee, hippo", "words": [ "motorway", "hippo", "sheep", "tractor", "sandwich", "bee" ], "category_items": [ "sheep", "bee", "hippo" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "1474": { "input": "gold, car, lizard, carrot, spider, tiger", "output": "tiger, spider, lizard", "words": [ "gold", "car", "lizard", "carrot", "spider", "tiger" ], "category_items": [ "tiger", "spider", "lizard" ], "other_categories": [ "food", "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "1475": { "input": "yellow, ship, tortoise, shark, mouse, bat", "output": "bat, mouse, shark, tortoise", "words": [ "yellow", "ship", "tortoise", "shark", "mouse", "bat" ], "category_items": [ "bat", "mouse", "shark", "tortoise" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 2 }, "1476": { "input": "giraffe, shark, actor, jeans, snake, chocolate", "output": "shark, snake, giraffe", "words": [ "giraffe", "shark", "actor", "jeans", "snake", "chocolate" ], "category_items": [ "shark", "snake", "giraffe" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1477": { "input": "green, egg, parrot, whale, bat, duck, businessman", "output": "parrot, whale, bat, duck", "words": [ "green", "egg", "parrot", "whale", "bat", "duck", "businessman" ], "category_items": [ "parrot", "whale", "bat", "duck" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 4, "num_others": 3 }, "1478": { "input": "tiger, belt, swan, zebra, pink", "output": "tiger, swan, zebra", "words": [ "tiger", "belt", "swan", "zebra", "pink" ], "category_items": [ "tiger", "swan", "zebra" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1479": { "input": "bat, horse, swan, dentist, yellow", "output": "bat, swan, horse", "words": [ "bat", "horse", "swan", "dentist", "yellow" ], "category_items": [ "bat", "swan", "horse" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 2 }, "1480": { "input": "lion, bus, giraffe, octopus, vegetable, snake", "output": "giraffe, snake, lion, octopus", "words": [ "lion", "bus", "giraffe", "octopus", "vegetable", "snake" ], "category_items": [ "giraffe", "snake", "lion", "octopus" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "1481": { "input": "cat, fly, sock, pajamas, green, penguin", "output": "fly, penguin, cat", "words": [ "cat", "fly", "sock", "pajamas", "green", "penguin" ], "category_items": [ "fly", "penguin", "cat" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1482": { "input": "penguin, swan, frog, elephant, trousers, green", "output": "frog, elephant, swan, penguin", "words": [ "penguin", "swan", "frog", "elephant", "trousers", "green" ], "category_items": [ "frog", "elephant", "swan", "penguin" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1483": { "input": "goat, rabbit, ambulance, journalist, candy, parrot", "output": "goat, rabbit, parrot", "words": [ "goat", "rabbit", "ambulance", "journalist", "candy", "parrot" ], "category_items": [ "goat", "rabbit", "parrot" ], "other_categories": [ "profession", "food", "vehicle" ], 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"butterfly", "octopus", "giraffe", "sheep" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1509": { "input": "spaceship, lion, brown, elephant, frog", "output": "elephant, frog, lion", "words": [ "spaceship", "lion", "brown", "elephant", "frog" ], "category_items": [ "elephant", "frog", "lion" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 2 }, "1510": { "input": "sock, trousers, parrot, whale, snake", "output": "parrot, snake, whale", "words": [ "sock", "trousers", "parrot", "whale", "snake" ], "category_items": [ "parrot", "snake", "whale" ], "other_categories": [ "clothing" ], "num_category_items": 3, "num_others": 2 }, "1511": { "input": "octopus, plane, ship, duck, dentist, giraffe", "output": "giraffe, duck, octopus", "words": [ "octopus", "plane", "ship", "duck", "dentist", "giraffe" ], "category_items": [ "giraffe", "duck", "octopus" ], "other_categories": [ "profession", "vehicle" ], 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"chicken, octopus, lizard, ambulance, pasta", "output": "lizard, octopus, chicken", "words": [ "chicken", "octopus", "lizard", "ambulance", "pasta" ], "category_items": [ "lizard", "octopus", "chicken" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "1522": { "input": "sweater, lion, chicken, goat, doctor, engineer", "output": "chicken, goat, lion", "words": [ "sweater", "lion", "chicken", "goat", "doctor", "engineer" ], "category_items": [ "chicken", "goat", "lion" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1523": { "input": "butterfly, gray, zebra, mouse, whale, kiwi", "output": "butterfly, mouse, whale, zebra", "words": [ "butterfly", "gray", "zebra", "mouse", "whale", "kiwi" ], "category_items": [ "butterfly", "mouse", "whale", "zebra" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 2 }, "1524": { "input": "shark, goat, skirt, lion, meatballs", "output": "goat, lion, shark", "words": [ "shark", "goat", "skirt", "lion", "meatballs" ], "category_items": [ "goat", "lion", "shark" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1525": { "input": "mouse, frog, pineapple, donkey, mechanic", "output": "donkey, mouse, frog", "words": [ "mouse", "frog", "pineapple", "donkey", "mechanic" ], "category_items": [ "donkey", "mouse", "frog" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 2 }, "1526": { "input": "sweater, butterfly, hippo, swimsuit, train, monkey", "output": "monkey, hippo, butterfly", "words": [ "sweater", "butterfly", "hippo", "swimsuit", "train", "monkey" ], "category_items": [ "monkey", "hippo", "butterfly" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1527": { "input": "frog, mouse, taxi, penguin, egg, glove", "output": "mouse, frog, penguin", "words": [ "frog", "mouse", "taxi", "penguin", 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"other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1534": { "input": "duck, train, butterfly, dentist, scarf, bee, zebra", "output": "butterfly, bee, zebra, duck", "words": [ "duck", "train", "butterfly", "dentist", "scarf", "bee", "zebra" ], "category_items": [ "butterfly", "bee", "zebra", "duck" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1535": { "input": "bean, swan, camel, lizard, waiter, cat", "output": "lizard, swan, cat, camel", "words": [ "bean", "swan", "camel", "lizard", "waiter", "cat" ], "category_items": [ "lizard", "swan", "cat", "camel" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 2 }, "1536": { "input": "swan, plane, frog, pajamas, shark, butterfly", "output": "shark, butterfly, frog, swan", "words": [ "swan", "plane", "frog", "pajamas", "shark", "butterfly" ], "category_items": [ "shark", "butterfly", "frog", "swan" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1537": { "input": "chicken, doctor, bee, frog, truck", "output": "frog, chicken, bee", "words": [ "chicken", "doctor", "bee", "frog", "truck" ], "category_items": [ "frog", "chicken", "bee" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "1538": { "input": "tortoise, monkey, milk, pineapple, octopus, yellow, frog", "output": "octopus, monkey, frog, tortoise", "words": [ "tortoise", "monkey", "milk", "pineapple", "octopus", "yellow", "frog" ], "category_items": [ "octopus", "monkey", "frog", "tortoise" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 3 }, "1539": { "input": "yellow, panda, snake, ice cream, fly, sock, parrot", "output": "parrot, snake, fly, panda", "words": [ "yellow", "panda", "snake", "ice cream", "fly", "sock", "parrot" ], "category_items": [ "parrot", "snake", "fly", "panda" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1540": { "input": "pear, jacket, hippo, octopus, bat, apple, sheep", "output": "octopus, hippo, bat, sheep", "words": [ "pear", "jacket", "hippo", "octopus", "bat", "apple", "sheep" ], "category_items": [ "octopus", "hippo", "bat", "sheep" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1541": { "input": "hippo, bat, tiger, car, shoe", "output": "bat, hippo, tiger", "words": [ "hippo", "bat", "tiger", "car", "shoe" ], "category_items": [ "bat", "hippo", "tiger" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1542": { "input": "businessman, lion, jellyfish, waiter, helicopter, giraffe, snake", "output": "giraffe, jellyfish, snake, lion", "words": [ "businessman", "lion", "jellyfish", "waiter", "helicopter", "giraffe", "snake" ], "category_items": [ "giraffe", "jellyfish", "snake", "lion" ], 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"cat, fly, lizard", "words": [ "orange", "yoghurt", "lizard", "fly", "carrot", "cat" ], "category_items": [ "cat", "fly", "lizard" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 3 }, "1556": { "input": "zebra, white, elephant, camel, donkey, sweater, honey", "output": "camel, zebra, elephant, donkey", "words": [ "zebra", "white", "elephant", "camel", "donkey", "sweater", "honey" ], "category_items": [ "camel", "zebra", "elephant", "donkey" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1557": { "input": "parrot, chicken, donkey, mouse, glove, pink", "output": "mouse, donkey, parrot, chicken", "words": [ "parrot", "chicken", "donkey", "mouse", "glove", "pink" ], "category_items": [ "mouse", "donkey", "parrot", "chicken" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1558": { "input": "bee, snake, swan, designer, truck, penguin", "output": "swan, 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"words": [ "sheep", "whale", "pajamas", "duck", "ship", "glove" ], "category_items": [ "whale", "duck", "sheep" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1565": { "input": "snail, brown, meatballs, bee, goat, bat", "output": "bee, goat, bat, snail", "words": [ "snail", "brown", "meatballs", "bee", "goat", "bat" ], "category_items": [ "bee", "goat", "bat", "snail" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 2 }, "1566": { "input": "rabbit, penguin, camel, spaceship, trousers", "output": "penguin, camel, rabbit", "words": [ "rabbit", "penguin", "camel", "spaceship", "trousers" ], "category_items": [ "penguin", "camel", "rabbit" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1567": { "input": "zebra, car, ship, egg, snail, spider", "output": "snail, spider, zebra", "words": [ "zebra", "car", "ship", "egg", "snail", "spider" ], "category_items": [ "snail", "spider", "zebra" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "1568": { "input": "dolphin, fly, tractor, lizard, egg, elephant, blue", "output": "elephant, fly, lizard, dolphin", "words": [ "dolphin", "fly", "tractor", "lizard", "egg", "elephant", "blue" ], "category_items": [ "elephant", "fly", "lizard", "dolphin" ], "other_categories": [ "food", "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "1569": { "input": "pajamas, whale, apple, panda, monkey, glove, rabbit", "output": "monkey, rabbit, whale, panda", "words": [ "pajamas", "whale", "apple", "panda", "monkey", "glove", "rabbit" ], "category_items": [ "monkey", "rabbit", "whale", "panda" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1570": { "input": "parrot, sock, spider, shoe, designer, swan, snail", "output": "swan, snail, spider, parrot", "words": [ "parrot", "sock", "spider", "shoe", "designer", "swan", "snail" ], "category_items": [ "swan", "snail", "spider", "parrot" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1571": { "input": "spider, frog, apple, bat, swimsuit", "output": "spider, frog, bat", "words": [ "spider", "frog", "apple", "bat", "swimsuit" ], "category_items": [ "spider", "frog", "bat" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1572": { "input": "penguin, dolphin, monkey, sweater, jellyfish, purple, honey", "output": "jellyfish, monkey, penguin, dolphin", "words": [ "penguin", "dolphin", "monkey", "sweater", "jellyfish", "purple", "honey" ], "category_items": [ "jellyfish", "monkey", "penguin", "dolphin" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1573": { "input": "cat, pancake, snake, gold, tiger", "output": "cat, tiger, snake", "words": [ "cat", "pancake", "snake", "gold", "tiger" ], "category_items": [ "cat", "tiger", "snake" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "1574": { "input": "cat, salad, panda, gold, lion, belt", "output": "lion, panda, cat", "words": [ "cat", "salad", "panda", "gold", "lion", "belt" ], "category_items": [ "lion", "panda", "cat" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1575": { "input": "fly, gold, swan, rabbit, pink", "output": "rabbit, swan, fly", "words": [ "fly", "gold", "swan", "rabbit", "pink" ], "category_items": [ "rabbit", "swan", "fly" ], "other_categories": [ "color" ], "num_category_items": 3, "num_others": 2 }, "1576": { "input": "sock, spaceship, elephant, penguin, fly, frog", "output": "frog, penguin, elephant, fly", "words": [ "sock", "spaceship", "elephant", "penguin", "fly", "frog" ], "category_items": [ "frog", "penguin", "elephant", "fly" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1577": { "input": "spider, sheep, businesswoman, goat, sweater, zebra", "output": "goat, zebra, spider, sheep", "words": [ "spider", "sheep", "businesswoman", "goat", "sweater", "zebra" ], "category_items": [ "goat", "zebra", "spider", "sheep" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1578": { "input": "monkey, donkey, dress, taxi, shark, train", "output": "monkey, shark, donkey", "words": [ "monkey", "donkey", "dress", "taxi", "shark", "train" ], "category_items": [ "monkey", "shark", "donkey" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1579": { "input": "tractor, parrot, panda, penguin, bus, motorway", "output": "penguin, parrot, panda", "words": [ "tractor", "parrot", "panda", "penguin", "bus", "motorway" ], "category_items": [ "penguin", "parrot", "panda" ], "other_categories": [ "vehicle" ], "num_category_items": 3, "num_others": 3 }, "1580": { "input": "businessman, sheep, zebra, chocolate, elephant, bean", "output": "sheep, zebra, elephant", "words": [ "businessman", "sheep", "zebra", "chocolate", "elephant", "bean" ], "category_items": [ "sheep", "zebra", "elephant" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 3 }, "1581": { "input": "whale, butterfly, purple, horse, yellow, penguin", "output": "butterfly, whale, penguin, horse", "words": [ "whale", "butterfly", "purple", "horse", "yellow", "penguin" ], "category_items": [ "butterfly", "whale", "penguin", "horse" ], "other_categories": [ "color" ], "num_category_items": 4, "num_others": 2 }, "1582": { "input": "fly, bee, hat, horse, cat, white, strawberry", "output": "fly, bee, cat, horse", "words": [ "fly", "bee", "hat", "horse", "cat", "white", "strawberry" ], "category_items": [ "fly", "bee", "cat", "horse" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1583": { "input": "meatballs, scarf, butterfly, bus, goat, zebra, sheep", "output": "zebra, butterfly, sheep, goat", "words": [ "meatballs", "scarf", "butterfly", "bus", "goat", "zebra", "sheep" ], "category_items": [ "zebra", "butterfly", "sheep", "goat" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1584": { "input": "yoghurt, horse, dolphin, goat, engineer, shoe, butterfly", "output": "horse, dolphin, butterfly, goat", "words": [ "yoghurt", "horse", "dolphin", "goat", "engineer", "shoe", "butterfly" ], "category_items": [ "horse", "dolphin", "butterfly", "goat" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1585": { "input": "parrot, spider, cat, octopus, pink, spaceship", "output": "octopus, parrot, spider, cat", "words": [ "parrot", "spider", "cat", "octopus", "pink", "spaceship" ], "category_items": [ "octopus", "parrot", "spider", "cat" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 2 }, "1586": { "input": "butterfly, goat, engineer, snail, businessman, actor, bee", "output": "goat, bee, snail, butterfly", "words": [ "butterfly", "goat", "engineer", "snail", "businessman", "actor", "bee" ], "category_items": [ "goat", "bee", "snail", "butterfly" ], "other_categories": [ "profession" ], "num_category_items": 4, "num_others": 3 }, "1587": { "input": "motorway, rabbit, jacket, onion, duck, elephant", "output": "rabbit, duck, elephant", "words": [ "motorway", "rabbit", "jacket", "onion", "duck", "elephant" ], "category_items": [ "rabbit", "duck", "elephant" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1588": { "input": "orange, dolphin, artist, panda, donkey, gold", "output": "donkey, dolphin, panda", "words": [ "orange", "dolphin", "artist", "panda", "donkey", "gold" ], "category_items": [ "donkey", "dolphin", "panda" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 3 }, "1589": { "input": "cook, mouse, swan, panda, zebra, artist", "output": "panda, mouse, swan, zebra", "words": [ "cook", "mouse", "swan", "panda", "zebra", "artist" ], "category_items": [ "panda", "mouse", "swan", "zebra" ], "other_categories": [ "profession" ], "num_category_items": 4, "num_others": 2 }, "1590": { "input": "panda, artist, trousers, ice cream, swan, bee", "output": "panda, bee, swan", "words": [ "panda", "artist", "trousers", "ice cream", "swan", "bee" ], "category_items": [ "panda", "bee", "swan" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1591": { "input": "actor, glove, monkey, jellyfish, apple, tiger", "output": "monkey, jellyfish, tiger", "words": [ "actor", "glove", "monkey", "jellyfish", "apple", "tiger" ], "category_items": [ "monkey", "jellyfish", "tiger" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1592": { "input": "giraffe, elephant, dentist, sheep, motorway, mouse", "output": "elephant, giraffe, mouse, sheep", "words": [ "giraffe", "elephant", "dentist", "sheep", "motorway", "mouse" ], "category_items": [ "elephant", "giraffe", "mouse", "sheep" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "1593": { "input": "penguin, elephant, hat, dolphin, green, brown", "output": "dolphin, penguin, elephant", "words": [ "penguin", "elephant", "hat", "dolphin", "green", "brown" ], "category_items": [ "dolphin", "penguin", "elephant" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1594": { "input": "tortoise, horse, meatballs, artist, jellyfish", "output": "tortoise, jellyfish, horse", "words": [ "tortoise", "horse", "meatballs", "artist", "jellyfish" ], "category_items": [ "tortoise", "jellyfish", "horse" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 2 }, "1595": { "input": "salad, lizard, frog, artist, fly", "output": "frog, lizard, fly", "words": [ "salad", "lizard", "frog", "artist", "fly" ], "category_items": [ "frog", "lizard", "fly" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 2 }, "1596": { "input": "sandwich, swimsuit, lion, zebra, snail", "output": "snail, zebra, lion", "words": [ "sandwich", "swimsuit", "lion", "zebra", "snail" ], "category_items": [ "snail", "zebra", "lion" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1597": { "input": "trousers, doctor, strawberry, parrot, lion, shark", "output": "lion, parrot, shark", "words": [ "trousers", "doctor", "strawberry", "parrot", "lion", "shark" ], "category_items": [ "lion", "parrot", "shark" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1598": { "input": "elephant, helicopter, blue, butterfly, lion, cook, bat", "output": "elephant, lion, bat, butterfly", "words": [ "elephant", "helicopter", "blue", "butterfly", "lion", "cook", "bat" ], "category_items": [ "elephant", "lion", "bat", "butterfly" ], "other_categories": [ "profession", "color", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "1599": { "input": "fly, octopus, sheep, dentist, lizard, spaceship, sausage", "output": "sheep, lizard, fly, octopus", "words": [ "fly", "octopus", "sheep", "dentist", "lizard", "spaceship", "sausage" ], "category_items": [ "sheep", "lizard", "fly", "octopus" ], "other_categories": [ "profession", "food", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "1600": { "input": "frog, red, snake, butterfly, car, goat", "output": "frog, goat, snake, butterfly", "words": [ "frog", "red", "snake", "butterfly", "car", "goat" ], "category_items": [ "frog", "goat", "snake", "butterfly" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 2 }, "1601": { "input": "frog, giraffe, penguin, gray, green, butterfly, meatballs", "output": "penguin, giraffe, frog, butterfly", "words": [ "frog", "giraffe", "penguin", "gray", "green", "butterfly", "meatballs" ], "category_items": [ "penguin", "giraffe", "frog", "butterfly" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 3 }, "1602": { "input": "lizard, pasta, panda, spaceship, camel, bat", "output": "lizard, bat, panda, camel", "words": [ "lizard", "pasta", "panda", "spaceship", "camel", "bat" ], "category_items": [ "lizard", "bat", "panda", "camel" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "1603": { "input": "hat, lizard, jacket, bat, snail, spider", "output": "snail, bat, lizard, spider", "words": [ "hat", "lizard", "jacket", "bat", "snail", "spider" ], "category_items": [ "snail", "bat", "lizard", "spider" ], "other_categories": [ "clothing" ], "num_category_items": 4, "num_others": 2 }, "1604": { "input": "bat, taxi, white, sheep, goat, parrot", "output": "bat, sheep, parrot, 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"hippo, car, waiter, chicken, bee, snail", "output": "hippo, bee, chicken, snail", "words": [ "hippo", "car", "waiter", "chicken", "bee", "snail" ], "category_items": [ "hippo", "bee", "chicken", "snail" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "1621": { "input": "swan, zebra, train, goat, car, parrot, truck", "output": "goat, swan, parrot, zebra", "words": [ "swan", "zebra", "train", "goat", "car", "parrot", "truck" ], "category_items": [ "goat", "swan", "parrot", "zebra" ], "other_categories": [ "vehicle" ], "num_category_items": 4, "num_others": 3 }, "1622": { "input": "butterfly, mouse, fly, belt, lizard, honey", "output": "butterfly, lizard, mouse, fly", "words": [ "butterfly", "mouse", "fly", "belt", "lizard", "honey" ], "category_items": [ "butterfly", "lizard", "mouse", "fly" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1623": { "input": "whale, candy, giraffe, penguin, 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"penguin, bat, donkey", "words": [ "taxi", "green", "jeans", "donkey", "penguin", "bat" ], "category_items": [ "penguin", "bat", "donkey" ], "other_categories": [ "vehicle", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1630": { "input": "businessman, octopus, doctor, purple, sheep, butterfly", "output": "sheep, octopus, butterfly", "words": [ "businessman", "octopus", "doctor", "purple", "sheep", "butterfly" ], "category_items": [ "sheep", "octopus", "butterfly" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 3 }, "1631": { "input": "swan, elephant, octopus, shirt, pajamas", "output": "elephant, swan, octopus", "words": [ "swan", "elephant", "octopus", "shirt", "pajamas" ], "category_items": [ "elephant", "swan", "octopus" ], "other_categories": [ "clothing" ], "num_category_items": 3, "num_others": 2 }, "1632": { "input": "camel, plane, penguin, bat, mouse, helicopter", "output": "camel, bat, mouse, penguin", "words": [ 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"goat", "snake" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 3 }, "1645": { "input": "taxi, scarf, dolphin, gray, spider, bee", "output": "dolphin, spider, bee", "words": [ "taxi", "scarf", "dolphin", "gray", "spider", "bee" ], "category_items": [ "dolphin", "spider", "bee" ], "other_categories": [ "clothing", "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "1646": { "input": "taxi, dolphin, monkey, octopus, bee, hat", "output": "monkey, bee, octopus, dolphin", "words": [ "taxi", "dolphin", "monkey", "octopus", "bee", "hat" ], "category_items": [ "monkey", "bee", "octopus", "dolphin" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1647": { "input": "tortoise, frog, onion, duck, helicopter, dolphin, plane", "output": "frog, duck, tortoise, dolphin", "words": [ "tortoise", "frog", "onion", "duck", "helicopter", "dolphin", "plane" ], "category_items": [ "frog", "duck", "tortoise", "dolphin" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "1648": { "input": "plane, swan, camel, bus, gold, zebra, octopus", "output": "octopus, zebra, camel, swan", "words": [ "plane", "swan", "camel", "bus", "gold", "zebra", "octopus" ], "category_items": [ "octopus", "zebra", "camel", "swan" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "1649": { "input": "lion, duck, orange, panda, doctor", "output": "duck, panda, lion", "words": [ "lion", "duck", "orange", "panda", "doctor" ], "category_items": [ "duck", "panda", "lion" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 2 }, "1650": { "input": "donkey, honey, whale, hat, lizard, duck", "output": "donkey, lizard, whale, duck", "words": [ "donkey", "honey", "whale", "hat", "lizard", "duck" ], "category_items": [ "donkey", "lizard", "whale", "duck" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1651": { "input": "bus, monkey, shirt, mouse, chicken, truck", "output": "monkey, chicken, mouse", "words": [ "bus", "monkey", "shirt", "mouse", "chicken", "truck" ], "category_items": [ "monkey", "chicken", "mouse" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1652": { "input": "taxi, sock, elephant, parrot, jellyfish", "output": "jellyfish, elephant, parrot", "words": [ "taxi", "sock", "elephant", "parrot", "jellyfish" ], "category_items": [ "jellyfish", "elephant", "parrot" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1653": { "input": "designer, bee, rabbit, engineer, octopus, chicken", "output": "chicken, bee, octopus, rabbit", "words": [ "designer", "bee", "rabbit", "engineer", "octopus", "chicken" ], "category_items": [ "chicken", "bee", "octopus", "rabbit" ], "other_categories": [ "profession" ], "num_category_items": 4, "num_others": 2 }, "1654": { "input": "spider, dolphin, monkey, belt, butter", "output": "monkey, dolphin, spider", "words": [ "spider", "dolphin", "monkey", "belt", "butter" ], "category_items": [ "monkey", "dolphin", "spider" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1655": { "input": "hippo, pink, trousers, penguin, purple, horse, dolphin", "output": "horse, penguin, dolphin, hippo", "words": [ "hippo", "pink", "trousers", "penguin", "purple", "horse", "dolphin" ], "category_items": [ "horse", "penguin", "dolphin", "hippo" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1656": { "input": "trousers, penguin, bee, truck, monkey", "output": "monkey, penguin, bee", "words": [ "trousers", "penguin", "bee", "truck", "monkey" ], "category_items": [ "monkey", "penguin", "bee" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1657": { "input": "snail, ship, spider, 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{ "input": "panda, giraffe, rice, yellow, snail, shirt", "output": "snail, panda, giraffe", "words": [ "panda", "giraffe", "rice", "yellow", "snail", "shirt" ], "category_items": [ "snail", "panda", "giraffe" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1729": { "input": "penguin, whale, red, helicopter, shark", "output": "shark, whale, penguin", "words": [ "penguin", "whale", "red", "helicopter", "shark" ], "category_items": [ "shark", "whale", "penguin" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 2 }, "1730": { "input": "jacket, octopus, snake, shark, green, nurse", "output": "snake, octopus, shark", "words": [ "jacket", "octopus", "snake", "shark", "green", "nurse" ], "category_items": [ "snake", "octopus", "shark" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1731": { "input": "pasta, snail, plane, jellyfish, donkey, horse", "output": "jellyfish, horse, snail, donkey", "words": [ "pasta", "snail", "plane", "jellyfish", "donkey", "horse" ], "category_items": [ "jellyfish", "horse", "snail", "donkey" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "1732": { "input": "butterfly, taxi, hippo, sandwich, whale, lizard", "output": "whale, butterfly, lizard, hippo", "words": [ "butterfly", "taxi", "hippo", "sandwich", "whale", "lizard" ], "category_items": [ "whale", "butterfly", "lizard", "hippo" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "1733": { "input": "jellyfish, journalist, plane, train, tortoise, rabbit", "output": "tortoise, rabbit, jellyfish", "words": [ "jellyfish", "journalist", "plane", "train", "tortoise", "rabbit" ], "category_items": [ "tortoise", "rabbit", "jellyfish" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "1734": { "input": "swimsuit, purple, tiger, 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"input": "white, ambulance, elephant, bat, dentist, donkey", "output": "donkey, bat, elephant", "words": [ "white", "ambulance", "elephant", "bat", "dentist", "donkey" ], "category_items": [ "donkey", "bat", "elephant" ], "other_categories": [ "profession", "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "1738": { "input": "elephant, ship, horse, truck, giraffe, pasta", "output": "horse, giraffe, elephant", "words": [ "elephant", "ship", "horse", "truck", "giraffe", "pasta" ], "category_items": [ "horse", "giraffe", "elephant" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "1739": { "input": "blue, spider, lion, hat, salad, hippo", "output": "spider, hippo, lion", "words": [ "blue", "spider", "lion", "hat", "salad", "hippo" ], "category_items": [ "spider", "hippo", "lion" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1740": { "input": "monkey, bus, bee, snail, strawberry, yellow", "output": "bee, monkey, snail", "words": [ "monkey", "bus", "bee", "snail", "strawberry", "yellow" ], "category_items": [ "bee", "monkey", "snail" ], "other_categories": [ "vehicle", "food", "color" ], "num_category_items": 3, "num_others": 3 }, "1741": { "input": "cat, scarf, dress, duck, penguin, whale", "output": "penguin, whale, duck, cat", "words": [ "cat", "scarf", "dress", "duck", "penguin", "whale" ], "category_items": [ "penguin", "whale", "duck", "cat" ], "other_categories": [ "clothing" ], "num_category_items": 4, "num_others": 2 }, "1742": { "input": "nurse, butterfly, pea, snail, skirt, mouse", "output": "snail, mouse, butterfly", "words": [ "nurse", "butterfly", "pea", "snail", "skirt", "mouse" ], "category_items": [ "snail", "mouse", "butterfly" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1743": { "input": "snail, swimsuit, bat, mechanic, vegetable, frog", "output": "snail, bat, frog", "words": [ "snail", "swimsuit", "bat", "mechanic", "vegetable", "frog" ], "category_items": [ "snail", "bat", "frog" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1744": { "input": "panda, tiger, penguin, strawberry, shirt, bean, elephant", "output": "penguin, tiger, elephant, panda", "words": [ "panda", "tiger", "penguin", "strawberry", "shirt", "bean", "elephant" ], "category_items": [ "penguin", "tiger", "elephant", "panda" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1745": { "input": "train, hippo, elephant, snail, mouse, sausage", "output": "snail, elephant, hippo, mouse", "words": [ "train", "hippo", "elephant", "snail", "mouse", "sausage" ], "category_items": [ "snail", "elephant", "hippo", "mouse" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "1746": { "input": "fly, pink, elephant, shirt, snake, bread, bee", "output": "bee, snake, fly, elephant", "words": [ "fly", "pink", "elephant", "shirt", "snake", "bread", "bee" ], "category_items": [ "bee", "snake", "fly", "elephant" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1747": { "input": "camel, car, butterfly, panda, lemon", "output": "panda, camel, butterfly", "words": [ "camel", "car", "butterfly", "panda", "lemon" ], "category_items": [ "panda", "camel", "butterfly" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "1748": { "input": "duck, lizard, panda, hat, lion, sweater", "output": "duck, lizard, lion, panda", "words": [ "duck", "lizard", "panda", "hat", "lion", "sweater" ], "category_items": [ "duck", "lizard", "lion", "panda" ], "other_categories": [ "clothing" ], "num_category_items": 4, "num_others": 2 }, "1749": { "input": "sandwich, waiter, monkey, penguin, zebra", "output": "zebra, monkey, penguin", "words": [ "sandwich", "waiter", "monkey", "penguin", "zebra" ], "category_items": [ "zebra", "monkey", "penguin" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 2 }, "1750": { "input": "hippo, swan, cook, swimsuit, snake, brown", "output": "snake, hippo, swan", "words": [ "hippo", "swan", "cook", "swimsuit", "snake", "brown" ], "category_items": [ "snake", "hippo", "swan" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1751": { "input": "gray, camel, shark, bee, candy, parrot", "output": "bee, shark, camel, parrot", "words": [ "gray", "camel", "shark", "bee", "candy", "parrot" ], "category_items": [ "bee", "shark", "camel", "parrot" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 2 }, "1752": { "input": "frog, engineer, lemon, mouse, sweater, giraffe, swan", "output": "giraffe, frog, swan, mouse", "words": [ "frog", "engineer", "lemon", "mouse", "sweater", "giraffe", "swan" ], "category_items": [ "giraffe", "frog", "swan", "mouse" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1753": { "input": "ambulance, butterfly, fly, helicopter, bee", "output": "bee, butterfly, fly", "words": [ "ambulance", "butterfly", "fly", "helicopter", "bee" ], "category_items": [ "bee", "butterfly", "fly" ], "other_categories": [ "vehicle" ], "num_category_items": 3, "num_others": 2 }, "1754": { "input": "apple, parrot, hippo, motorway, elephant", "output": "parrot, elephant, hippo", "words": [ "apple", "parrot", "hippo", "motorway", "elephant" ], "category_items": [ "parrot", "elephant", "hippo" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "1755": { "input": "rice, panda, rabbit, tiger, sock, mouse", "output": "mouse, tiger, panda, rabbit", "words": [ "rice", "panda", "rabbit", "tiger", "sock", "mouse" ], "category_items": [ "mouse", "tiger", "panda", "rabbit" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1756": { "input": "horse, sheep, tiger, tractor, sock", "output": "horse, tiger, sheep", "words": [ "horse", "sheep", "tiger", "tractor", "sock" ], "category_items": [ "horse", "tiger", "sheep" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1757": { "input": "nurse, cook, lizard, dolphin, rabbit, sheep", "output": "rabbit, lizard, dolphin, sheep", "words": [ "nurse", "cook", "lizard", "dolphin", "rabbit", "sheep" ], "category_items": [ "rabbit", "lizard", "dolphin", "sheep" ], "other_categories": [ "profession" ], "num_category_items": 4, "num_others": 2 }, "1758": { "input": "dolphin, swimsuit, cat, monkey, brown, whale", "output": "whale, monkey, dolphin, cat", "words": [ "dolphin", "swimsuit", "cat", "monkey", "brown", "whale" ], "category_items": [ "whale", "monkey", "dolphin", "cat" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1759": { "input": "gold, tiger, cat, snail, truck, rabbit, rice", "output": "rabbit, cat, snail, tiger", "words": [ "gold", "tiger", "cat", "snail", "truck", "rabbit", "rice" ], "category_items": [ "rabbit", "cat", "snail", "tiger" ], "other_categories": [ "food", "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "1760": { "input": "dolphin, elephant, shark, ship, businessman, pink", "output": "elephant, shark, dolphin", "words": [ "dolphin", "elephant", "shark", "ship", "businessman", "pink" ], "category_items": [ "elephant", "shark", "dolphin" ], "other_categories": [ "profession", "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "1761": { "input": "tortoise, donkey, shark, gray, designer, dolphin, taxi", "output": "shark, tortoise, dolphin, donkey", "words": [ "tortoise", "donkey", "shark", "gray", "designer", "dolphin", "taxi" ], "category_items": [ "shark", "tortoise", "dolphin", "donkey" ], "other_categories": [ "profession", "color", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "1762": { "input": "donkey, chicken, ship, zebra, candy, tortoise", "output": "donkey, tortoise, zebra, chicken", "words": [ "donkey", "chicken", "ship", "zebra", "candy", "tortoise" ], "category_items": [ "donkey", "tortoise", "zebra", "chicken" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "1763": { "input": "jeans, penguin, actor, fly, olives, elephant, horse", "output": "penguin, fly, elephant, horse", "words": [ "jeans", "penguin", "actor", "fly", "olives", "elephant", "horse" ], "category_items": [ "penguin", "fly", "elephant", "horse" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1764": { "input": "chicken, truck, gold, spider, hat, panda", "output": "spider, panda, chicken", "words": [ "chicken", "truck", "gold", "spider", "hat", "panda" ], "category_items": [ "spider", "panda", "chicken" ], "other_categories": [ "vehicle", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1765": { "input": "truck, snail, panda, penguin, bus, camel", "output": "camel, snail, penguin, panda", "words": [ "truck", "snail", "panda", "penguin", "bus", "camel" ], "category_items": [ "camel", "snail", "penguin", "panda" ], "other_categories": [ "vehicle" ], "num_category_items": 4, "num_others": 2 }, "1766": { "input": "whale, belt, lizard, spaceship, spider, green, swan", "output": "lizard, whale, swan, spider", "words": [ "whale", "belt", "lizard", "spaceship", "spider", "green", "swan" ], "category_items": [ "lizard", "whale", "swan", "spider" ], "other_categories": [ "vehicle", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1767": { "input": "shirt, duck, tortoise, pajamas, rabbit, lizard, trousers", "output": "rabbit, tortoise, duck, lizard", "words": [ "shirt", "duck", "tortoise", "pajamas", "rabbit", "lizard", "trousers" ], "category_items": [ "rabbit", "tortoise", "duck", "lizard" ], "other_categories": [ "clothing" ], "num_category_items": 4, "num_others": 3 }, "1768": { "input": "tiger, white, lemon, sandwich, mouse, octopus, lion", "output": "tiger, octopus, lion, mouse", "words": [ "tiger", "white", "lemon", "sandwich", "mouse", "octopus", "lion" ], "category_items": [ "tiger", "octopus", "lion", "mouse" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 3 }, "1769": { "input": "sock, dolphin, skirt, bat, rabbit", "output": "dolphin, bat, rabbit", "words": [ "sock", "dolphin", "skirt", "bat", "rabbit" ], "category_items": [ "dolphin", "bat", "rabbit" ], "other_categories": [ "clothing" ], "num_category_items": 3, "num_others": 2 }, "1770": { "input": "sheep, snake, parrot, white, pasta, gold", "output": "sheep, parrot, snake", "words": [ "sheep", "snake", "parrot", "white", "pasta", "gold" ], "category_items": [ "sheep", "parrot", "snake" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 3 }, "1771": { "input": "red, designer, giraffe, donkey, duck", "output": "duck, giraffe, donkey", "words": [ "red", "designer", "giraffe", "donkey", "duck" ], "category_items": [ "duck", "giraffe", "donkey" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 2 }, "1772": { "input": "horse, snail, camel, cook, actor", "output": "camel, horse, snail", "words": [ "horse", "snail", "camel", "cook", "actor" ], "category_items": [ "camel", "horse", "snail" ], "other_categories": [ "profession" ], "num_category_items": 3, "num_others": 2 }, "1773": { "input": "whale, blue, horse, plane, jellyfish, waiter", "output": "horse, jellyfish, whale", "words": [ "whale", "blue", "horse", "plane", "jellyfish", "waiter" ], "category_items": [ "horse", "jellyfish", "whale" ], "other_categories": [ "vehicle", "color", "profession" ], "num_category_items": 3, "num_others": 3 }, "1774": { "input": "giraffe, swan, zebra, purple, doctor", "output": "giraffe, zebra, swan", "words": [ "giraffe", "swan", "zebra", "purple", "doctor" ], "category_items": [ "giraffe", "zebra", "swan" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 2 }, "1775": { "input": "zebra, tortoise, kiwi, camel, dolphin, shirt", "output": "zebra, tortoise, dolphin, camel", "words": [ "zebra", "tortoise", "kiwi", "camel", "dolphin", "shirt" ], "category_items": [ "zebra", "tortoise", "dolphin", "camel" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1776": { "input": "businesswoman, hippo, chicken, fly, tortoise, tractor", "output": "tortoise, fly, hippo, chicken", "words": [ "businesswoman", "hippo", "chicken", "fly", "tortoise", "tractor" ], "category_items": [ "tortoise", "fly", "hippo", "chicken" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "1777": { "input": "butterfly, bus, parrot, soup, chicken, milk", "output": "butterfly, chicken, parrot", "words": [ "butterfly", "bus", "parrot", "soup", "chicken", "milk" ], "category_items": [ "butterfly", "chicken", "parrot" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "1778": { "input": "penguin, ambulance, zebra, whale, lemon", "output": "zebra, whale, penguin", "words": [ "penguin", "ambulance", "zebra", "whale", "lemon" ], "category_items": [ "zebra", "whale", "penguin" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "1779": { "input": "shoe, snake, elephant, gold, bat, monkey", "output": "bat, elephant, snake, monkey", "words": [ "shoe", "snake", "elephant", "gold", "bat", "monkey" ], "category_items": [ "bat", "elephant", "snake", "monkey" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1780": { "input": "honey, horse, jacket, jellyfish, donkey", "output": "jellyfish, horse, donkey", "words": [ "honey", "horse", "jacket", "jellyfish", "donkey" ], "category_items": [ "jellyfish", "horse", "donkey" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1781": { "input": "mechanic, zebra, snake, whale, parrot, pasta, carrot", "output": "whale, snake, parrot, zebra", "words": [ "mechanic", "zebra", "snake", "whale", "parrot", "pasta", "carrot" ], "category_items": [ "whale", "snake", "parrot", "zebra" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 3 }, "1782": { "input": "snail, ship, bus, lion, mouse", "output": "lion, snail, mouse", "words": [ "snail", "ship", "bus", "lion", "mouse" ], "category_items": [ "lion", "snail", "mouse" ], "other_categories": [ "vehicle" ], "num_category_items": 3, "num_others": 2 }, "1783": { "input": "cook, camel, butterfly, orange, zebra, nurse, tortoise", "output": "tortoise, camel, butterfly, zebra", "words": [ "cook", "camel", "butterfly", "orange", "zebra", "nurse", "tortoise" ], "category_items": [ "tortoise", "camel", "butterfly", "zebra" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 3 }, "1784": { "input": "tortoise, vegetable, camel, candy, butterfly", "output": "butterfly, camel, tortoise", "words": [ "tortoise", "vegetable", "camel", "candy", "butterfly" ], "category_items": [ "butterfly", "camel", "tortoise" ], "other_categories": [ "food" ], "num_category_items": 3, "num_others": 2 }, "1785": { "input": "hat, camel, shark, cat, truck, dolphin", "output": "dolphin, cat, shark, camel", "words": [ "hat", "camel", "shark", "cat", "truck", "dolphin" ], "category_items": [ "dolphin", "cat", "shark", "camel" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1786": { "input": "camel, dress, swan, watermelon, octopus, tractor", "output": "camel, octopus, swan", "words": [ "camel", "dress", "swan", "watermelon", "octopus", "tractor" ], "category_items": [ "camel", "octopus", "swan" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1787": { "input": "panda, truck, shark, dress, goat, plane, cat", "output": "goat, shark, cat, panda", "words": [ "panda", "truck", "shark", "dress", "goat", "plane", "cat" ], "category_items": [ "goat", "shark", "cat", "panda" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1788": { "input": "pineapple, penguin, purple, donkey, lizard", "output": "donkey, lizard, penguin", "words": [ "pineapple", "penguin", "purple", "donkey", "lizard" ], "category_items": [ "donkey", "lizard", "penguin" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "1789": { "input": "gray, lizard, frog, gold, bee", "output": "lizard, frog, bee", "words": [ "gray", "lizard", "frog", "gold", "bee" ], "category_items": [ "lizard", "frog", "bee" ], "other_categories": [ "color" ], "num_category_items": 3, "num_others": 2 }, "1790": { "input": "sheep, photographer, goat, motorway, pineapple, spider", "output": "goat, sheep, spider", "words": [ "sheep", "photographer", "goat", "motorway", "pineapple", "spider" ], "category_items": [ "goat", "sheep", "spider" ], "other_categories": [ "profession", "food", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "1791": { "input": "donkey, tractor, bee, chicken, spaceship, sock", "output": "bee, donkey, chicken", "words": [ "donkey", "tractor", "bee", "chicken", "spaceship", "sock" ], "category_items": [ "bee", "donkey", "chicken" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1792": { "input": "giraffe, skirt, spider, horse, shark, train", "output": "horse, giraffe, spider, shark", "words": [ "giraffe", "skirt", "spider", "horse", "shark", "train" ], "category_items": [ "horse", "giraffe", "spider", "shark" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1793": { "input": "zebra, donkey, spider, kiwi, sock", "output": "zebra, donkey, spider", "words": [ "zebra", "donkey", "spider", "kiwi", "sock" ], "category_items": [ "zebra", "donkey", "spider" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1794": { "input": "lizard, teacher, actor, giraffe, bee, shoe", "output": "giraffe, bee, lizard", "words": [ "lizard", "teacher", "actor", "giraffe", "bee", "shoe" ], "category_items": [ "giraffe", "bee", "lizard" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1795": { "input": "egg, snake, monkey, banana, donkey, cat, gold", "output": "cat, snake, donkey, monkey", "words": [ "egg", "snake", "monkey", "banana", "donkey", "cat", "gold" ], "category_items": [ "cat", "snake", "donkey", "monkey" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 3 }, "1796": { "input": "donkey, red, horse, belt, engineer, camel", "output": "camel, donkey, horse", "words": [ "donkey", "red", "horse", "belt", "engineer", "camel" ], "category_items": [ "camel", "donkey", "horse" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1797": { "input": "white, vegetable, swimsuit, sheep, parrot, hippo", "output": "parrot, sheep, hippo", "words": [ "white", "vegetable", "swimsuit", "sheep", "parrot", "hippo" ], "category_items": [ "parrot", "sheep", "hippo" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1798": { "input": "red, zebra, yoghurt, octopus, monkey, lizard, helicopter", "output": "octopus, lizard, monkey, zebra", "words": [ "red", "zebra", "yoghurt", "octopus", "monkey", "lizard", "helicopter" ], "category_items": [ "octopus", "lizard", "monkey", "zebra" ], "other_categories": [ "food", "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "1799": { "input": "nurse, bus, butterfly, snail, parrot, jellyfish", "output": "snail, parrot, butterfly, jellyfish", "words": [ "nurse", "bus", "butterfly", "snail", "parrot", "jellyfish" ], "category_items": [ "snail", "parrot", "butterfly", "jellyfish" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "1800": { "input": "train, photographer, butterfly, cat, chicken, tortoise", "output": "tortoise, cat, butterfly, chicken", "words": [ "train", "photographer", "butterfly", "cat", "chicken", "tortoise" ], "category_items": [ "tortoise", "cat", "butterfly", "chicken" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "1801": { "input": "goat, butterfly, mouse, jeans, tiger, helicopter", "output": "goat, butterfly, tiger, mouse", "words": [ "goat", "butterfly", "mouse", "jeans", "tiger", "helicopter" ], "category_items": [ "goat", "butterfly", "tiger", "mouse" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1802": { "input": "panda, banana, tortoise, dolphin, spider, kiwi, ship", "output": "tortoise, dolphin, panda, spider", "words": [ "panda", "banana", "tortoise", "dolphin", "spider", "kiwi", "ship" ], "category_items": [ "tortoise", "dolphin", "panda", "spider" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "1803": { "input": "penguin, red, zebra, car, ambulance, frog, octopus", "output": "octopus, zebra, penguin, frog", "words": [ "penguin", "red", "zebra", "car", "ambulance", "frog", "octopus" ], "category_items": [ "octopus", "zebra", "penguin", "frog" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "1804": { "input": "sheep, nurse, red, frog, swan, snake, businesswoman", "output": "snake, swan, frog, sheep", "words": [ "sheep", "nurse", "red", "frog", "swan", "snake", "businesswoman" ], "category_items": [ "snake", "swan", "frog", "sheep" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 3 }, "1805": { "input": "pineapple, red, hippo, butterfly, chicken", "output": "butterfly, hippo, chicken", "words": [ "pineapple", "red", "hippo", "butterfly", "chicken" ], "category_items": [ "butterfly", "hippo", "chicken" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "1806": { "input": "blue, rabbit, dolphin, sheep, actor, lion", "output": "dolphin, sheep, lion, rabbit", "words": [ "blue", "rabbit", "dolphin", "sheep", "actor", "lion" ], "category_items": [ "dolphin", "sheep", "lion", "rabbit" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 2 }, "1807": { "input": "tiger, ship, chicken, shoe, mouse", "output": "chicken, tiger, mouse", "words": [ "tiger", "ship", "chicken", "shoe", "mouse" ], "category_items": [ "chicken", "tiger", "mouse" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1808": { "input": "businessman, elephant, helicopter, tiger, banana, swan, shark", "output": "elephant, shark, tiger, swan", "words": [ "businessman", "elephant", "helicopter", "tiger", "banana", "swan", "shark" ], "category_items": [ "elephant", "shark", "tiger", "swan" ], "other_categories": [ "profession", "food", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "1809": { "input": "orange, pink, tractor, parrot, chicken, horse, sheep", "output": "chicken, parrot, horse, sheep", "words": [ "orange", "pink", "tractor", "parrot", "chicken", "horse", "sheep" ], "category_items": [ "chicken", "parrot", "horse", "sheep" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "1810": { "input": "whale, fly, artist, parrot, businesswoman, sausage", "output": "whale, parrot, fly", "words": [ "whale", "fly", "artist", "parrot", "businesswoman", "sausage" ], "category_items": [ "whale", "parrot", "fly" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 3 }, "1811": { "input": "strawberry, butterfly, mouse, businessman, spider", "output": "spider, butterfly, mouse", "words": [ "strawberry", "butterfly", "mouse", "businessman", "spider" ], "category_items": [ "spider", "butterfly", "mouse" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 2 }, "1812": { "input": "ambulance, snake, car, parrot, snail", "output": "snail, snake, parrot", "words": [ "ambulance", "snake", "car", "parrot", "snail" ], "category_items": [ "snail", "snake", "parrot" ], "other_categories": [ "vehicle" ], "num_category_items": 3, "num_others": 2 }, "1813": { "input": "red, bat, frog, orange, yellow, cat, chicken", "output": "cat, chicken, frog, bat", "words": [ "red", "bat", "frog", "orange", "yellow", "cat", "chicken" ], "category_items": [ "cat", "chicken", "frog", "bat" ], "other_categories": [ "color" ], "num_category_items": 4, "num_others": 3 }, "1814": { "input": "bee, tractor, photographer, snail, horse, ship", "output": "snail, horse, bee", "words": [ "bee", "tractor", "photographer", "snail", "horse", "ship" ], "category_items": [ "snail", "horse", "bee" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "1815": { "input": "frog, car, monkey, shark, ship", "output": "shark, monkey, frog", "words": [ "frog", "car", "monkey", "shark", "ship" ], "category_items": [ "shark", "monkey", "frog" ], "other_categories": [ "vehicle" ], "num_category_items": 3, "num_others": 2 }, "1816": { "input": "hippo, whale, donkey, swan, jeans, sandwich", "output": "whale, hippo, donkey, swan", "words": [ "hippo", "whale", "donkey", "swan", "jeans", "sandwich" ], "category_items": [ "whale", "hippo", "donkey", "swan" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1817": { "input": "zebra, butterfly, chicken, jacket, designer, shirt, octopus", "output": "butterfly, zebra, chicken, octopus", "words": [ "zebra", "butterfly", "chicken", "jacket", "designer", "shirt", "octopus" ], "category_items": [ "butterfly", "zebra", "chicken", "octopus" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1818": { "input": "swimsuit, ship, duck, octopus, swan", "output": "swan, duck, octopus", "words": [ "swimsuit", "ship", "duck", "octopus", "swan" ], "category_items": [ "swan", "duck", "octopus" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1819": { "input": "donkey, pink, giraffe, sock, elephant", "output": "giraffe, donkey, elephant", "words": [ "donkey", "pink", "giraffe", "sock", "elephant" ], "category_items": [ "giraffe", "donkey", "elephant" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1820": { "input": "tiger, sock, spider, plane, fly, mouse, spaceship", "output": "fly, tiger, mouse, spider", "words": [ "tiger", "sock", "spider", "plane", "fly", "mouse", "spaceship" ], "category_items": [ "fly", "tiger", "mouse", "spider" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1821": { "input": "whale, ship, shark, plane, octopus", "output": "shark, whale, octopus", "words": [ "whale", "ship", "shark", "plane", "octopus" ], "category_items": [ "shark", "whale", "octopus" ], "other_categories": [ "vehicle" ], "num_category_items": 3, "num_others": 2 }, "1822": { "input": "snail, bat, truck, cat, sheep, designer, shirt", "output": "bat, cat, sheep, snail", "words": [ "snail", "bat", "truck", "cat", "sheep", "designer", "shirt" ], "category_items": [ "bat", "cat", "sheep", "snail" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1823": { "input": "ship, donkey, cook, tiger, dolphin, watermelon, horse", "output": "donkey, horse, tiger, dolphin", "words": [ "ship", "donkey", "cook", "tiger", "dolphin", "watermelon", "horse" ], "category_items": [ "donkey", "horse", "tiger", "dolphin" ], "other_categories": [ "profession", "food", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "1824": { "input": "truck, shark, whale, salad, zebra, green", "output": "shark, zebra, whale", "words": [ "truck", "shark", "whale", "salad", "zebra", "green" ], "category_items": [ "shark", "zebra", "whale" ], "other_categories": [ "food", "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "1825": { "input": "tomato, donkey, ship, snail, chocolate, goat", "output": "snail, goat, donkey", "words": [ "tomato", "donkey", "ship", "snail", "chocolate", "goat" ], "category_items": [ "snail", "goat", "donkey" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "1826": { "input": "goat, brown, elephant, skirt, sheep, orange", "output": "goat, sheep, elephant", "words": [ "goat", "brown", "elephant", "skirt", "sheep", "orange" ], "category_items": [ "goat", "sheep", "elephant" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1827": { "input": "rabbit, spider, panda, monkey, onion, gray, red", "output": "spider, rabbit, panda, monkey", "words": [ "rabbit", "spider", "panda", "monkey", "onion", "gray", "red" ], "category_items": [ "spider", "rabbit", "panda", "monkey" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 3 }, "1828": { "input": "dolphin, chicken, spider, apple, businessman, camel, engineer", "output": "spider, chicken, dolphin, camel", "words": [ "dolphin", "chicken", "spider", "apple", "businessman", "camel", "engineer" ], "category_items": [ "spider", "chicken", "dolphin", "camel" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 3 }, "1829": { "input": "octopus, scarf, panda, businessman, butterfly", "output": "panda, octopus, butterfly", "words": [ "octopus", "scarf", "panda", "businessman", "butterfly" ], "category_items": [ "panda", "octopus", "butterfly" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1830": { "input": "giraffe, butterfly, brown, frog, snake, actor", "output": "frog, snake, butterfly, giraffe", "words": [ "giraffe", "butterfly", "brown", "frog", "snake", "actor" ], "category_items": [ "frog", "snake", "butterfly", "giraffe" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 2 }, "1831": { "input": "car, giraffe, white, blue, goat, elephant, camel", "output": "camel, elephant, giraffe, goat", "words": [ "car", "giraffe", "white", "blue", "goat", "elephant", "camel" ], "category_items": [ "camel", "elephant", "giraffe", "goat" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "1832": { "input": "pajamas, sweater, spaceship, shark, bat, whale, elephant", "output": "bat, elephant, shark, whale", "words": [ "pajamas", "sweater", "spaceship", "shark", "bat", "whale", "elephant" ], "category_items": [ "bat", "elephant", "shark", "whale" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1833": { "input": "burger, shirt, bat, snail, camel, sock, goat", "output": "bat, camel, goat, snail", "words": [ "burger", "shirt", "bat", "snail", "camel", "sock", "goat" ], "category_items": [ "bat", "camel", "goat", "snail" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1834": { "input": "monkey, taxi, pink, giraffe, spider, doctor", "output": "giraffe, spider, monkey", "words": [ "monkey", "taxi", "pink", "giraffe", "spider", "doctor" ], "category_items": [ "giraffe", "spider", "monkey" ], "other_categories": [ "profession", "color", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "1835": { "input": "tomato, sheep, plane, dolphin, zebra, swimsuit, monkey", "output": "dolphin, zebra, monkey, sheep", "words": [ "tomato", "sheep", "plane", "dolphin", "zebra", "swimsuit", "monkey" ], "category_items": [ "dolphin", "zebra", "monkey", "sheep" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1836": { "input": "butterfly, green, orange, monkey, goat, plane", "output": "goat, monkey, butterfly", "words": [ "butterfly", "green", "orange", "monkey", "goat", "plane" ], "category_items": [ "goat", "monkey", "butterfly" ], "other_categories": [ "food", "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "1837": { "input": "penguin, gold, tiger, brown, elephant", "output": "tiger, penguin, elephant", "words": [ "penguin", "gold", "tiger", "brown", "elephant" ], "category_items": [ "tiger", "penguin", "elephant" ], "other_categories": [ "color" ], "num_category_items": 3, "num_others": 2 }, "1838": { "input": "goat, burger, butterfly, cat, purple, sock", "output": "cat, butterfly, goat", "words": [ "goat", "burger", "butterfly", "cat", "purple", "sock" ], "category_items": [ "cat", "butterfly", "goat" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1839": { "input": "pea, lion, waiter, octopus, panda, red, bat", "output": "octopus, bat, lion, panda", "words": [ "pea", "lion", "waiter", "octopus", "panda", "red", "bat" ], "category_items": [ "octopus", "bat", "lion", "panda" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 4, "num_others": 3 }, "1840": { "input": "bat, yellow, elephant, jellyfish, ambulance", "output": "elephant, jellyfish, bat", "words": [ "bat", "yellow", "elephant", "jellyfish", "ambulance" ], "category_items": [ "elephant", "jellyfish", "bat" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 2 }, "1841": { "input": "horse, lion, artist, jeans, pink, tortoise", "output": "lion, horse, tortoise", "words": [ "horse", "lion", "artist", "jeans", "pink", "tortoise" ], "category_items": [ "lion", "horse", "tortoise" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1842": { "input": "panda, white, bus, duck, dolphin, bat", "output": "dolphin, panda, duck, bat", "words": [ "panda", "white", "bus", "duck", "dolphin", "bat" ], "category_items": [ "dolphin", "panda", "duck", "bat" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 2 }, "1843": { "input": "spider, orange, panda, businesswoman, jellyfish, butterfly, pasta", "output": "butterfly, spider, jellyfish, panda", "words": [ "spider", "orange", "panda", "businesswoman", "jellyfish", "butterfly", "pasta" ], "category_items": [ "butterfly", "spider", "jellyfish", "panda" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 4, "num_others": 3 }, "1844": { "input": "horse, tortoise, green, milk, swan, purple, jellyfish", "output": "horse, jellyfish, tortoise, swan", "words": [ "horse", "tortoise", "green", "milk", "swan", "purple", "jellyfish" ], "category_items": [ "horse", "jellyfish", "tortoise", "swan" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 3 }, "1845": { "input": "swan, soup, tiger, octopus, carrot, horse, actor", "output": "octopus, swan, tiger, horse", "words": [ "swan", "soup", "tiger", "octopus", "carrot", "horse", "actor" ], "category_items": [ "octopus", "swan", "tiger", "horse" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 3 }, "1846": { "input": "duck, pineapple, lion, bee, pasta", "output": "duck, lion, bee", "words": [ "duck", "pineapple", "lion", "bee", "pasta" ], "category_items": [ "duck", "lion", "bee" ], "other_categories": [ "food" ], "num_category_items": 3, "num_others": 2 }, "1847": { "input": "donkey, parrot, duck, candy, lizard, businesswoman", "output": "lizard, duck, parrot, donkey", "words": [ "donkey", "parrot", "duck", "candy", "lizard", "businesswoman" ], "category_items": [ "lizard", "duck", "parrot", "donkey" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 2 }, "1848": { "input": "jellyfish, teacher, elephant, bat, purple, monkey", "output": "bat, elephant, jellyfish, monkey", "words": [ "jellyfish", "teacher", "elephant", "bat", "purple", "monkey" ], "category_items": [ "bat", "elephant", "jellyfish", "monkey" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 2 }, "1849": { "input": "swan, teacher, pink, parrot, horse, red", "output": "parrot, horse, swan", "words": [ "swan", "teacher", "pink", "parrot", "horse", "red" ], "category_items": [ "parrot", "horse", "swan" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 3 }, "1850": { "input": "fly, whale, businessman, frog, doctor", "output": "whale, fly, frog", "words": [ "fly", "whale", "businessman", "frog", "doctor" ], "category_items": [ "whale", "fly", "frog" ], "other_categories": [ "profession" ], "num_category_items": 3, "num_others": 2 }, "1851": { "input": "doctor, mouse, gold, zebra, elephant, butterfly, yellow", "output": "elephant, mouse, zebra, butterfly", "words": [ "doctor", "mouse", "gold", "zebra", "elephant", "butterfly", "yellow" ], "category_items": [ "elephant", "mouse", "zebra", "butterfly" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 3 }, "1852": { "input": "cook, dolphin, spaceship, butterfly, kiwi, lion, parrot", "output": "dolphin, butterfly, parrot, lion", "words": [ "cook", "dolphin", "spaceship", "butterfly", "kiwi", "lion", "parrot" ], "category_items": [ "dolphin", "butterfly", "parrot", "lion" ], "other_categories": [ "profession", "food", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "1853": { "input": "penguin, shark, tortoise, strawberry, chicken, mechanic", "output": "shark, chicken, penguin, tortoise", "words": [ "penguin", "shark", "tortoise", "strawberry", "chicken", "mechanic" ], "category_items": [ "shark", "chicken", "penguin", "tortoise" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 2 }, "1854": { "input": "parrot, whale, motorway, sock, rabbit, spider", "output": "rabbit, spider, whale, parrot", "words": [ "parrot", "whale", "motorway", "sock", "rabbit", "spider" ], "category_items": [ "rabbit", "spider", "whale", "parrot" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1855": { "input": "sweater, tiger, pink, yellow, sheep, frog", "output": "tiger, sheep, frog", "words": [ "sweater", "tiger", "pink", "yellow", "sheep", "frog" ], "category_items": [ "tiger", "sheep", "frog" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1856": { "input": "blue, cat, glove, snail, goat", "output": "snail, cat, goat", "words": [ "blue", "cat", "glove", "snail", "goat" ], "category_items": [ "snail", "cat", "goat" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1857": { "input": "shark, parrot, onion, green, whale", "output": "shark, parrot, whale", "words": [ "shark", "parrot", "onion", "green", "whale" ], "category_items": [ "shark", "parrot", "whale" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "1858": { "input": "green, jellyfish, monkey, cook, parrot, donkey, ambulance", "output": "parrot, donkey, monkey, jellyfish", "words": [ "green", "jellyfish", "monkey", "cook", "parrot", "donkey", "ambulance" ], "category_items": [ "parrot", "donkey", "monkey", "jellyfish" ], "other_categories": [ "profession", "color", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "1859": { "input": "sheep, apple, skirt, plane, panda, dolphin, bat", "output": "sheep, dolphin, panda, bat", "words": [ "sheep", "apple", "skirt", "plane", "panda", "dolphin", "bat" ], "category_items": [ "sheep", "dolphin", "panda", "bat" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1860": { "input": "helicopter, rabbit, donkey, shark, elephant, nurse", "output": "shark, rabbit, elephant, donkey", "words": [ "helicopter", "rabbit", "donkey", "shark", "elephant", "nurse" ], "category_items": [ "shark", "rabbit", "elephant", "donkey" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "1861": { "input": "gold, actor, camel, cat, penguin, monkey", "output": "cat, camel, penguin, monkey", "words": [ "gold", "actor", "camel", "cat", "penguin", "monkey" ], "category_items": [ "cat", "camel", "penguin", "monkey" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 2 }, "1862": { "input": "mango, panda, swan, giraffe, duck, sweater", "output": "duck, giraffe, swan, panda", "words": [ "mango", "panda", "swan", "giraffe", "duck", "sweater" ], "category_items": [ "duck", "giraffe", "swan", "panda" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, 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"num_others": 2 }, "1897": { "input": "bee, panda, photographer, jellyfish, bat, blue, jacket", "output": "panda, bat, bee, jellyfish", "words": [ "bee", "panda", "photographer", "jellyfish", "bat", "blue", "jacket" ], "category_items": [ "panda", "bat", "bee", "jellyfish" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1898": { "input": "yoghurt, whale, photographer, cat, fly, yellow", "output": "cat, fly, whale", "words": [ "yoghurt", "whale", "photographer", "cat", "fly", "yellow" ], "category_items": [ "cat", "fly", "whale" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 3, "num_others": 3 }, "1899": { "input": "donkey, zebra, tortoise, snake, yellow, rice", "output": "donkey, snake, zebra, tortoise", "words": [ "donkey", "zebra", "tortoise", "snake", "yellow", "rice" ], "category_items": [ "donkey", "snake", "zebra", "tortoise" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 2 }, "1900": { "input": "yellow, snake, sausage, whale, zebra, tiger", "output": "snake, whale, zebra, tiger", "words": [ "yellow", "snake", "sausage", "whale", "zebra", "tiger" ], "category_items": [ "snake", "whale", "zebra", "tiger" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 2 }, "1901": { "input": "photographer, octopus, nurse, frog, giraffe, soup", "output": "octopus, frog, giraffe", "words": [ "photographer", "octopus", "nurse", "frog", "giraffe", "soup" ], "category_items": [ "octopus", "frog", "giraffe" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 3 }, "1902": { "input": "snail, swimsuit, bus, lizard, horse", "output": "horse, snail, lizard", "words": [ "snail", "swimsuit", "bus", "lizard", "horse" ], "category_items": [ "horse", "snail", "lizard" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1903": { "input": "goat, cat, bee, burger, pancake, snake", "output": "snake, cat, bee, goat", "words": [ "goat", "cat", "bee", "burger", "pancake", "snake" ], "category_items": [ "snake", "cat", "bee", "goat" ], "other_categories": [ "food" ], "num_category_items": 4, "num_others": 2 }, "1904": { "input": "shirt, swan, bread, donkey, waiter, spider, dolphin", "output": "donkey, dolphin, swan, spider", "words": [ "shirt", "swan", "bread", "donkey", "waiter", "spider", "dolphin" ], "category_items": [ "donkey", "dolphin", "swan", "spider" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1905": { "input": "elephant, camel, penguin, dress, octopus, mechanic", "output": "elephant, octopus, camel, penguin", "words": [ "elephant", "camel", "penguin", "dress", "octopus", "mechanic" ], "category_items": [ "elephant", "octopus", "camel", "penguin" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1906": { "input": "pancake, whale, car, frog, tortoise, chicken, scarf", "output": "chicken, whale, tortoise, frog", "words": [ "pancake", "whale", "car", "frog", "tortoise", "chicken", "scarf" ], "category_items": [ "chicken", "whale", "tortoise", "frog" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1907": { "input": "blue, hat, tiger, whale, frog, zebra", "output": "zebra, frog, whale, tiger", "words": [ "blue", "hat", "tiger", "whale", "frog", "zebra" ], "category_items": [ "zebra", "frog", "whale", "tiger" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1908": { "input": "white, tractor, monkey, photographer, duck, horse", "output": "duck, monkey, horse", "words": [ "white", "tractor", "monkey", "photographer", "duck", "horse" ], "category_items": [ "duck", "monkey", "horse" ], "other_categories": [ "profession", "color", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "1909": { "input": "pasta, donkey, hippo, pea, mouse, sheep, doctor", "output": "hippo, sheep, mouse, donkey", "words": [ "pasta", "donkey", "hippo", "pea", "mouse", "sheep", "doctor" ], "category_items": [ "hippo", "sheep", "mouse", "donkey" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 3 }, "1910": { "input": "horse, zebra, red, hat, swan", "output": "zebra, horse, swan", "words": [ "horse", "zebra", "red", "hat", "swan" ], "category_items": [ "zebra", "horse", "swan" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1911": { "input": "train, snake, monkey, sweater, doctor, donkey, duck", "output": "snake, donkey, monkey, duck", "words": [ "train", "snake", "monkey", "sweater", "doctor", "donkey", "duck" ], "category_items": [ "snake", "donkey", "monkey", "duck" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1912": { "input": "glove, zebra, car, snail, whale, butterfly", "output": "butterfly, whale, zebra, snail", "words": [ "glove", "zebra", "car", "snail", "whale", "butterfly" ], "category_items": [ "butterfly", "whale", "zebra", "snail" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1913": { "input": "fly, artist, panda, sheep, zebra, train", "output": "fly, panda, zebra, sheep", "words": [ "fly", "artist", "panda", "sheep", "zebra", "train" ], "category_items": [ "fly", "panda", "zebra", "sheep" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "1914": { "input": "horse, white, mouse, shark, shoe", "output": "mouse, shark, horse", "words": [ "horse", "white", "mouse", "shark", "shoe" ], "category_items": [ "mouse", "shark", "horse" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1915": { "input": "penguin, pasta, butterfly, fly, hat", "output": "penguin, butterfly, fly", "words": [ "penguin", "pasta", "butterfly", "fly", "hat" ], "category_items": [ "penguin", "butterfly", "fly" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1916": { "input": "giraffe, shoe, elephant, zebra, hippo, blue", "output": "elephant, giraffe, hippo, zebra", "words": [ "giraffe", "shoe", "elephant", "zebra", "hippo", "blue" ], "category_items": [ "elephant", "giraffe", "hippo", "zebra" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1917": { "input": "panda, tortoise, orange, bat, pineapple, potato", "output": "tortoise, bat, panda", "words": [ "panda", "tortoise", "orange", "bat", "pineapple", "potato" ], "category_items": [ "tortoise", "bat", "panda" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 3 }, "1918": { "input": "duck, swimsuit, snail, dress, monkey, yellow, shark", "output": "shark, snail, duck, monkey", "words": [ "duck", "swimsuit", "snail", "dress", "monkey", "yellow", "shark" ], "category_items": [ "shark", "snail", "duck", "monkey" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1919": { "input": "actor, tortoise, bean, lizard, giraffe, photographer", "output": "tortoise, lizard, giraffe", "words": [ "actor", "tortoise", "bean", "lizard", "giraffe", "photographer" ], "category_items": [ "tortoise", "lizard", "giraffe" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 3 }, "1920": { "input": "blue, giraffe, horse, artist, tortoise, jellyfish", "output": "tortoise, horse, giraffe, jellyfish", "words": [ "blue", "giraffe", "horse", "artist", "tortoise", "jellyfish" ], "category_items": [ "tortoise", "horse", "giraffe", "jellyfish" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 2 }, "1921": { "input": "butterfly, chicken, white, parrot, octopus, shoe, red", "output": "octopus, chicken, butterfly, parrot", "words": [ "butterfly", "chicken", "white", "parrot", "octopus", "shoe", "red" ], "category_items": [ "octopus", "chicken", "butterfly", "parrot" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1922": { "input": "swan, car, panda, dolphin, tiger, ice cream, soup", "output": "panda, swan, dolphin, tiger", "words": [ "swan", "car", "panda", "dolphin", "tiger", "ice cream", "soup" ], "category_items": [ "panda", "swan", "dolphin", "tiger" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "1923": { "input": "pear, taxi, plane, tortoise, chicken, cat", "output": "cat, tortoise, chicken", "words": [ "pear", "taxi", "plane", "tortoise", "chicken", "cat" ], "category_items": [ "cat", "tortoise", "chicken" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "1924": { "input": "hat, cat, meatballs, penguin, goat", "output": "goat, penguin, cat", "words": [ "hat", "cat", "meatballs", "penguin", "goat" ], "category_items": [ "goat", "penguin", "cat" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1925": { "input": "bus, swan, panda, dentist, chicken", "output": "swan, chicken, panda", "words": [ "bus", "swan", "panda", "dentist", "chicken" ], "category_items": [ "swan", "chicken", "panda" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "1926": { "input": "dolphin, bee, motorway, camel, blue, belt, swan", "output": "camel, swan, dolphin, bee", "words": [ "dolphin", "bee", "motorway", "camel", "blue", "belt", "swan" ], "category_items": [ "camel", "swan", "dolphin", "bee" ], "other_categories": [ "vehicle", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1927": { "input": "snake, lizard, jellyfish, tractor, truck, monkey, yellow", "output": "lizard, jellyfish, snake, monkey", "words": [ "snake", "lizard", "jellyfish", "tractor", "truck", "monkey", "yellow" ], "category_items": [ "lizard", "jellyfish", "snake", "monkey" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "1928": { "input": "tomato, shoe, bat, dolphin, trousers, octopus", "output": "bat, dolphin, octopus", "words": [ "tomato", "shoe", "bat", "dolphin", "trousers", "octopus" ], "category_items": [ "bat", "dolphin", "octopus" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1929": { "input": "shark, brown, sheep, dolphin, designer", "output": "dolphin, shark, sheep", "words": [ "shark", "brown", "sheep", "dolphin", "designer" ], "category_items": [ "dolphin", "shark", "sheep" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 2 }, "1930": { "input": "businessman, belt, teacher, tortoise, goat, bat", "output": "tortoise, bat, goat", "words": [ "businessman", "belt", "teacher", "tortoise", "goat", "bat" ], "category_items": [ "tortoise", "bat", "goat" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1931": { "input": "chicken, parrot, ship, snake, blue, ambulance, monkey", "output": "parrot, chicken, snake, monkey", "words": [ "chicken", "parrot", "ship", "snake", "blue", "ambulance", "monkey" ], "category_items": [ "parrot", "chicken", "snake", "monkey" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "1932": { "input": "yellow, helicopter, monkey, tiger, sweater, duck", "output": "tiger, monkey, duck", "words": [ "yellow", "helicopter", "monkey", "tiger", "sweater", "duck" ], "category_items": [ "tiger", "monkey", "duck" ], "other_categories": [ "clothing", "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "1933": { "input": "swimsuit, jellyfish, bat, spider, jacket, whale", "output": "jellyfish, whale, bat, spider", "words": [ "swimsuit", "jellyfish", "bat", "spider", "jacket", "whale" ], "category_items": [ "jellyfish", "whale", "bat", "spider" ], "other_categories": [ "clothing" ], "num_category_items": 4, "num_others": 2 }, "1934": { "input": "engineer, whale, car, butterfly, trousers, goat", "output": "whale, butterfly, goat", "words": [ "engineer", "whale", "car", "butterfly", "trousers", "goat" ], "category_items": [ "whale", "butterfly", "goat" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1935": { "input": "brown, snake, shoe, frog, donkey, penguin, actor", "output": "frog, donkey, snake, penguin", "words": [ "brown", "snake", "shoe", "frog", "donkey", "penguin", "actor" ], "category_items": [ "frog", "donkey", "snake", "penguin" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1936": { "input": "jacket, doctor, monkey, penguin, lion, train", "output": "penguin, monkey, lion", "words": [ "jacket", "doctor", "monkey", "penguin", "lion", "train" ], "category_items": [ "penguin", "monkey", "lion" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1937": { "input": "white, penguin, parrot, carrot, waiter, fly, butterfly", "output": "penguin, butterfly, parrot, fly", "words": [ "white", "penguin", "parrot", "carrot", "waiter", "fly", "butterfly" ], "category_items": [ "penguin", "butterfly", "parrot", "fly" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 4, "num_others": 3 }, "1938": { "input": "ambulance, tortoise, lion, mechanic, shark, doctor", "output": "tortoise, lion, shark", "words": [ "ambulance", "tortoise", "lion", "mechanic", "shark", "doctor" ], "category_items": [ "tortoise", "lion", "shark" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "1939": { "input": "hippo, jellyfish, taxi, pancake, lion, elephant, skirt", "output": "hippo, jellyfish, elephant, lion", "words": [ "hippo", "jellyfish", "taxi", "pancake", "lion", "elephant", "skirt" ], "category_items": [ "hippo", "jellyfish", "elephant", "lion" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1940": { "input": "ambulance, gray, swan, pasta, lizard, zebra", "output": "swan, zebra, lizard", "words": [ "ambulance", "gray", "swan", "pasta", "lizard", "zebra" ], "category_items": [ "swan", "zebra", "lizard" ], "other_categories": [ "vehicle", "food", "color" ], "num_category_items": 3, "num_others": 3 }, "1941": { "input": "waiter, giraffe, octopus, candy, butterfly, frog, pancake", "output": "frog, butterfly, octopus, giraffe", "words": [ "waiter", "giraffe", "octopus", "candy", "butterfly", "frog", "pancake" ], "category_items": [ "frog", "butterfly", "octopus", "giraffe" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 3 }, "1942": { "input": "nurse, parrot, bat, tiger, duck, potato", "output": "bat, parrot, tiger, duck", "words": [ "nurse", "parrot", "bat", "tiger", "duck", "potato" ], "category_items": [ "bat", "parrot", "tiger", "duck" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 2 }, "1943": { "input": "bat, whale, fly, camel, watermelon, salad", "output": "camel, whale, fly, bat", "words": [ "bat", "whale", "fly", "camel", "watermelon", "salad" ], "category_items": [ "camel", "whale", "fly", "bat" ], "other_categories": [ "food" ], "num_category_items": 4, "num_others": 2 }, "1944": { "input": "panda, shirt, snail, car, fly, frog", "output": "frog, snail, panda, fly", "words": [ "panda", "shirt", "snail", "car", "fly", "frog" ], "category_items": [ "frog", "snail", "panda", "fly" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1945": { "input": "hippo, ambulance, waiter, mouse, parrot, horse, artist", "output": "mouse, parrot, horse, hippo", "words": [ "hippo", "ambulance", "waiter", "mouse", "parrot", "horse", "artist" ], "category_items": [ "mouse", "parrot", "horse", "hippo" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "1946": { "input": "goat, skirt, panda, shirt, fly, tomato", "output": "panda, goat, fly", "words": [ "goat", "skirt", "panda", "shirt", "fly", "tomato" ], "category_items": [ "panda", "goat", "fly" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1947": { "input": "panda, horse, monkey, truck, butter, gray, snail", "output": "horse, snail, monkey, panda", "words": [ "panda", "horse", "monkey", "truck", "butter", "gray", "snail" ], "category_items": [ "horse", "snail", "monkey", "panda" ], "other_categories": [ "food", "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "1948": { "input": "tiger, belt, elephant, teacher, rabbit, butterfly, photographer", "output": "butterfly, tiger, rabbit, elephant", "words": [ "tiger", "belt", "elephant", "teacher", "rabbit", "butterfly", "photographer" ], "category_items": [ "butterfly", "tiger", "rabbit", "elephant" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1949": { "input": "frog, swimsuit, tiger, spider, spaceship, horse", "output": "tiger, horse, spider, frog", "words": [ "frog", "swimsuit", "tiger", "spider", "spaceship", "horse" ], "category_items": [ "tiger", "horse", "spider", "frog" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1950": { "input": "dolphin, sock, giraffe, donkey, whale, belt", "output": "dolphin, giraffe, donkey, whale", "words": [ "dolphin", "sock", "giraffe", "donkey", "whale", "belt" ], "category_items": [ "dolphin", "giraffe", "donkey", "whale" ], "other_categories": [ "clothing" ], "num_category_items": 4, "num_others": 2 }, "1951": { "input": "jeans, mouse, sock, shark, butterfly, sweater", "output": "butterfly, shark, mouse", "words": [ "jeans", "mouse", "sock", "shark", "butterfly", "sweater" ], "category_items": [ "butterfly", "shark", "mouse" ], "other_categories": [ "clothing" ], "num_category_items": 3, "num_others": 3 }, "1952": { "input": "lion, fly, burger, nurse, bat, spaceship", "output": "lion, fly, bat", "words": [ "lion", "fly", "burger", "nurse", "bat", "spaceship" ], "category_items": [ "lion", "fly", "bat" ], "other_categories": [ "profession", "food", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "1953": { "input": "bat, carrot, cat, lion, teacher, yellow", "output": "bat, lion, cat", "words": [ "bat", "carrot", "cat", "lion", "teacher", "yellow" ], "category_items": [ "bat", "lion", "cat" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 3, "num_others": 3 }, "1954": { "input": "burger, glove, hippo, waiter, tortoise, bat", "output": "hippo, tortoise, bat", "words": [ "burger", "glove", "hippo", "waiter", "tortoise", "bat" ], "category_items": [ "hippo", "tortoise", "bat" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1955": { "input": "businessman, bat, green, mouse, whale, onion, shark", "output": "shark, whale, mouse, bat", "words": [ "businessman", "bat", "green", "mouse", "whale", "onion", "shark" ], "category_items": [ "shark", "whale", "mouse", "bat" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 4, "num_others": 3 }, "1956": { "input": "hippo, horse, ship, snake, bus", "output": "horse, snake, hippo", "words": [ "hippo", "horse", "ship", "snake", "bus" ], "category_items": [ "horse", "snake", "hippo" ], "other_categories": [ "vehicle" ], "num_category_items": 3, "num_others": 2 }, "1957": { "input": "spider, whale, snail, chicken, belt, sweater", "output": "whale, snail, spider, chicken", "words": [ "spider", "whale", "snail", "chicken", "belt", "sweater" ], "category_items": [ "whale", "snail", "spider", "chicken" ], "other_categories": [ "clothing" ], "num_category_items": 4, "num_others": 2 }, "1958": { "input": "butterfly, mouse, belt, plane, frog", "output": "mouse, butterfly, frog", "words": [ "butterfly", "mouse", "belt", "plane", "frog" ], "category_items": [ "mouse", "butterfly", "frog" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1959": { "input": "butterfly, businessman, dolphin, yellow, elephant, goat", "output": "elephant, goat, dolphin, butterfly", "words": [ "butterfly", "businessman", "dolphin", "yellow", "elephant", "goat" ], "category_items": [ "elephant", "goat", "dolphin", "butterfly" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 2 }, "1960": { "input": "yellow, brown, businessman, parrot, whale, giraffe", "output": "parrot, giraffe, whale", "words": [ "yellow", "brown", "businessman", "parrot", "whale", "giraffe" ], "category_items": [ "parrot", "giraffe", "whale" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 3 }, "1961": { "input": "bee, yellow, monkey, sock, green, rabbit, panda", "output": "bee, monkey, rabbit, panda", "words": [ "bee", "yellow", "monkey", "sock", "green", "rabbit", "panda" ], "category_items": [ "bee", "monkey", "rabbit", "panda" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1962": { "input": "hippo, bus, gray, panda, parrot", "output": "hippo, panda, parrot", "words": [ "hippo", "bus", "gray", "panda", "parrot" ], "category_items": [ "hippo", "panda", "parrot" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 2 }, "1963": { "input": "frog, dolphin, engineer, purple, giraffe, businesswoman, snail", "output": "dolphin, snail, giraffe, frog", "words": [ "frog", "dolphin", "engineer", "purple", "giraffe", "businesswoman", "snail" ], "category_items": [ "dolphin", "snail", "giraffe", "frog" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 3 }, "1964": { "input": "butterfly, hippo, designer, lion, taxi", "output": "hippo, butterfly, lion", "words": [ "butterfly", "hippo", "designer", "lion", "taxi" ], "category_items": [ "hippo", "butterfly", "lion" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "1965": { "input": "swan, sheep, doctor, parrot, orange, blue", "output": "sheep, parrot, swan", "words": [ "swan", "sheep", "doctor", "parrot", "orange", "blue" ], "category_items": [ "sheep", "parrot", "swan" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 3, "num_others": 3 }, "1966": { "input": "sheep, tractor, trousers, fly, potato, lion, horse", "output": "sheep, horse, lion, fly", "words": [ "sheep", "tractor", "trousers", "fly", "potato", "lion", "horse" ], "category_items": [ "sheep", "horse", "lion", "fly" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1967": { "input": "gold, whale, snail, frog, plane, parrot", "output": "frog, parrot, whale, snail", "words": [ "gold", "whale", "snail", "frog", "plane", "parrot" ], "category_items": [ "frog", "parrot", "whale", "snail" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 2 }, "1968": { "input": "donkey, sheep, businesswoman, blue, monkey", "output": "sheep, donkey, monkey", "words": [ "donkey", "sheep", "businesswoman", "blue", "monkey" ], "category_items": [ "sheep", "donkey", "monkey" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 2 }, "1969": { "input": "jellyfish, snail, purple, businessman, hippo, penguin", "output": "snail, jellyfish, hippo, penguin", "words": [ "jellyfish", "snail", "purple", "businessman", "hippo", "penguin" ], "category_items": [ "snail", "jellyfish", "hippo", "penguin" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 2 }, "1970": { "input": "monkey, mechanic, waiter, lizard, frog, spider, motorway", "output": "spider, frog, monkey, lizard", "words": [ "monkey", "mechanic", "waiter", "lizard", "frog", "spider", "motorway" ], "category_items": [ "spider", "frog", "monkey", "lizard" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "1971": { "input": "giraffe, designer, tiger, chicken, shirt, journalist", "output": "giraffe, chicken, tiger", "words": [ "giraffe", "designer", "tiger", "chicken", "shirt", "journalist" ], "category_items": [ "giraffe", "chicken", "tiger" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1972": { "input": "sandwich, elephant, cat, zebra, orange", "output": "zebra, elephant, cat", "words": [ "sandwich", "elephant", "cat", "zebra", "orange" ], "category_items": [ "zebra", "elephant", "cat" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "1973": { "input": "tortoise, motorway, snail, dolphin, skirt, journalist, lion", "output": "lion, tortoise, dolphin, snail", "words": [ "tortoise", "motorway", "snail", "dolphin", "skirt", "journalist", "lion" ], "category_items": [ "lion", "tortoise", "dolphin", "snail" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1974": { "input": "shark, jellyfish, orange, bee, ambulance, cat", "output": "shark, bee, cat, jellyfish", "words": [ "shark", "jellyfish", "orange", "bee", "ambulance", "cat" ], "category_items": [ "shark", "bee", "cat", "jellyfish" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 2 }, "1975": { "input": "skirt, green, fly, monkey, elephant, businessman", "output": "elephant, fly, monkey", "words": [ "skirt", "green", "fly", "monkey", "elephant", "businessman" ], "category_items": [ "elephant", "fly", "monkey" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1976": { "input": "butterfly, horse, businesswoman, duck, green, glove, lizard", "output": "butterfly, lizard, duck, horse", "words": [ "butterfly", "horse", "businesswoman", "duck", "green", "glove", "lizard" ], "category_items": [ "butterfly", "lizard", "duck", "horse" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1977": { "input": "mouse, belt, butterfly, butter, shirt, duck", "output": "mouse, butterfly, duck", "words": [ "mouse", "belt", "butterfly", "butter", "shirt", "duck" ], "category_items": [ "mouse", "butterfly", "duck" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1978": { "input": "penguin, lion, octopus, pajamas, skirt, bee, shoe", "output": "octopus, penguin, lion, bee", "words": [ "penguin", "lion", "octopus", "pajamas", "skirt", "bee", "shoe" ], "category_items": [ "octopus", "penguin", "lion", "bee" ], "other_categories": [ "clothing" ], "num_category_items": 4, "num_others": 3 }, "1979": { "input": "bat, spider, nurse, tiger, artist, frog", "output": "frog, spider, tiger, bat", "words": [ "bat", "spider", "nurse", "tiger", "artist", "frog" ], "category_items": [ "frog", "spider", "tiger", "bat" ], "other_categories": [ "profession" ], "num_category_items": 4, "num_others": 2 }, "1980": { "input": "pink, octopus, taxi, waiter, panda, duck", "output": "duck, panda, octopus", "words": [ "pink", "octopus", "taxi", "waiter", "panda", "duck" ], "category_items": [ "duck", "panda", "octopus" ], "other_categories": [ "profession", "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "1981": { "input": "whale, brown, orange, rabbit, parrot, tortoise, soup", "output": "tortoise, rabbit, whale, parrot", "words": [ "whale", "brown", "orange", "rabbit", "parrot", "tortoise", "soup" ], "category_items": [ "tortoise", "rabbit", "whale", "parrot" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 3 }, "1982": { "input": "swan, train, panda, hippo, ship", "output": "hippo, panda, swan", "words": [ "swan", "train", "panda", "hippo", "ship" ], "category_items": [ "hippo", "panda", "swan" ], "other_categories": [ "vehicle" ], "num_category_items": 3, "num_others": 2 }, "1983": { "input": "orange, truck, sheep, snail, parrot", "output": "snail, sheep, parrot", "words": [ "orange", "truck", "sheep", "snail", "parrot" ], "category_items": [ "snail", "sheep", "parrot" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "1984": { "input": "shark, teacher, watermelon, spaceship, fly, goat", "output": "goat, shark, fly", "words": [ "shark", "teacher", "watermelon", "spaceship", "fly", "goat" ], "category_items": [ "goat", "shark", "fly" ], "other_categories": [ "profession", "food", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "1985": { "input": "ambulance, lizard, sock, orange, parrot, bat, bee", "output": "bat, parrot, bee, lizard", "words": [ "ambulance", "lizard", "sock", "orange", "parrot", "bat", "bee" ], "category_items": [ "bat", "parrot", "bee", "lizard" ], "other_categories": [ "vehicle", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1986": { "input": "monkey, vegetable, parrot, jellyfish, sweater, mechanic", "output": "monkey, parrot, jellyfish", "words": [ "monkey", "vegetable", "parrot", "jellyfish", "sweater", "mechanic" ], "category_items": [ "monkey", "parrot", "jellyfish" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1987": { "input": "hippo, duck, truck, fly, goat, doctor", "output": "fly, duck, hippo, goat", "words": [ "hippo", "duck", "truck", "fly", "goat", "doctor" ], "category_items": [ "fly", "duck", "hippo", "goat" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "1988": { "input": "swan, monkey, honey, chicken, spaceship, lizard", "output": "chicken, monkey, swan, lizard", "words": [ "swan", "monkey", "honey", "chicken", "spaceship", "lizard" ], "category_items": [ "chicken", "monkey", "swan", "lizard" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "1989": { "input": "mechanic, olives, elephant, horse, butterfly, goat", "output": "horse, butterfly, goat, elephant", "words": [ "mechanic", "olives", "elephant", "horse", "butterfly", "goat" ], "category_items": [ "horse", "butterfly", "goat", "elephant" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 2 }, "1990": { "input": "rabbit, parrot, cook, sock, mouse", "output": "mouse, rabbit, parrot", "words": [ "rabbit", "parrot", "cook", "sock", "mouse" ], "category_items": [ "mouse", "rabbit", "parrot" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 2 }, "1991": { "input": "swan, lion, belt, tiger, swimsuit, chocolate", "output": "lion, tiger, swan", "words": [ "swan", "lion", "belt", "tiger", "swimsuit", "chocolate" ], "category_items": [ "lion", "tiger", "swan" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1992": { "input": "photographer, tortoise, tractor, horse, octopus, shark", "output": "octopus, tortoise, shark, horse", "words": [ "photographer", "tortoise", "tractor", "horse", "octopus", "shark" ], "category_items": [ "octopus", "tortoise", "shark", "horse" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "1993": { "input": "shirt, penguin, goat, hippo, sheep, olives, plane", "output": "goat, hippo, penguin, sheep", "words": [ "shirt", "penguin", "goat", "hippo", "sheep", "olives", "plane" ], "category_items": [ "goat", "hippo", "penguin", "sheep" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "1994": { "input": "milk, giraffe, artist, dolphin, snake, mango", "output": "giraffe, dolphin, snake", "words": [ "milk", "giraffe", "artist", "dolphin", "snake", "mango" ], "category_items": [ "giraffe", "dolphin", "snake" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 3 }, "1995": { "input": "spider, glove, panda, chicken, shark, car", "output": "panda, spider, chicken, shark", "words": [ "spider", "glove", "panda", "chicken", "shark", "car" ], "category_items": [ "panda", "spider", "chicken", "shark" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "1996": { "input": "trousers, goat, swimsuit, bat, truck, tortoise", "output": "tortoise, goat, bat", "words": [ "trousers", "goat", "swimsuit", "bat", "truck", "tortoise" ], "category_items": [ "tortoise", "goat", "bat" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1997": { "input": "mechanic, giraffe, mouse, chicken, truck, rabbit", "output": "chicken, rabbit, giraffe, mouse", "words": [ "mechanic", "giraffe", "mouse", "chicken", "truck", "rabbit" ], "category_items": [ "chicken", "rabbit", "giraffe", "mouse" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "1998": { "input": "giraffe, butterfly, shoe, pancake, brown, parrot", "output": "parrot, butterfly, giraffe", "words": [ "giraffe", "butterfly", "shoe", "pancake", "brown", "parrot" ], "category_items": [ "parrot", "butterfly", "giraffe" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "1999": { "input": "doctor, horse, jellyfish, businessman, tractor, sheep", "output": "jellyfish, sheep, horse", "words": [ "doctor", "horse", "jellyfish", "businessman", "tractor", "sheep" ], "category_items": [ "jellyfish", "sheep", "horse" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "2000": { "input": "designer, journalist, tiger, actor, bee, spider", "output": "tiger, spider, bee", "words": [ "designer", "journalist", "tiger", "actor", "bee", "spider" ], "category_items": [ "tiger", "spider", "bee" ], "other_categories": [ "profession" ], "num_category_items": 3, "num_others": 3 }, "2001": { "input": "soup, zebra, lion, white, whale, dress, snail", "output": "snail, whale, zebra, lion", "words": [ "soup", "zebra", "lion", "white", "whale", "dress", "snail" ], "category_items": [ "snail", "whale", "zebra", "lion" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2002": { "input": "yellow, frog, swan, cook, tiger, mouse", "output": "swan, frog, mouse, tiger", "words": [ "yellow", "frog", "swan", "cook", "tiger", "mouse" ], "category_items": [ "swan", "frog", "mouse", "tiger" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 2 }, "2003": { "input": "teacher, snail, monkey, donkey, spaceship", "output": "monkey, donkey, snail", "words": [ "teacher", "snail", "monkey", "donkey", "spaceship" ], "category_items": [ "monkey", "donkey", "snail" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "2004": { "input": "lizard, plane, gold, camel, spider, engineer", "output": "lizard, spider, camel", "words": [ "lizard", "plane", "gold", "camel", "spider", "engineer" ], "category_items": [ "lizard", "spider", "camel" ], "other_categories": [ "profession", "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "2005": { "input": "helicopter, lion, octopus, cat, jacket", "output": "octopus, cat, lion", "words": [ "helicopter", "lion", "octopus", "cat", "jacket" ], "category_items": [ "octopus", "cat", "lion" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2006": { "input": "burger, businesswoman, lizard, truck, fly, zebra", "output": "lizard, fly, zebra", "words": [ "burger", "businesswoman", "lizard", "truck", "fly", "zebra" ], "category_items": [ "lizard", "fly", "zebra" ], "other_categories": [ "profession", "food", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "2007": { "input": "mechanic, green, lizard, spider, swan, mouse", "output": "mouse, spider, swan, lizard", "words": [ "mechanic", "green", "lizard", "spider", "swan", "mouse" ], "category_items": [ "mouse", "spider", "swan", "lizard" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 2 }, "2008": { "input": "truck, pear, purple, parrot, elephant, bee, monkey", "output": "monkey, bee, elephant, parrot", "words": [ "truck", "pear", "purple", "parrot", "elephant", "bee", "monkey" ], "category_items": [ "monkey", "bee", "elephant", "parrot" ], "other_categories": [ "food", "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "2009": { "input": "taxi, parrot, sweater, dolphin, tortoise, shark, white", "output": "shark, tortoise, dolphin, parrot", "words": [ "taxi", "parrot", "sweater", "dolphin", "tortoise", "shark", "white" ], 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"profession", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "2016": { "input": "swimsuit, elephant, soup, chicken, spider, parrot, engineer", "output": "chicken, elephant, spider, parrot", "words": [ "swimsuit", "elephant", "soup", "chicken", "spider", "parrot", "engineer" ], "category_items": [ "chicken", "elephant", "spider", "parrot" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2017": { "input": "fly, glove, sandwich, gray, butterfly, chicken", "output": "butterfly, fly, chicken", "words": [ "fly", "glove", "sandwich", "gray", "butterfly", "chicken" ], "category_items": [ "butterfly", "fly", "chicken" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2018": { "input": "shirt, ice cream, donkey, tiger, engineer, rabbit, sheep", "output": "donkey, rabbit, tiger, sheep", "words": [ "shirt", "ice cream", "donkey", "tiger", "engineer", "rabbit", "sheep" ], "category_items": [ "donkey", "rabbit", "tiger", "sheep" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2019": { "input": "snail, giraffe, fly, white, dentist", "output": "fly, snail, giraffe", "words": [ "snail", "giraffe", "fly", "white", "dentist" ], "category_items": [ "fly", "snail", "giraffe" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 2 }, "2020": { "input": "nurse, cat, panda, monkey, bee, businessman", "output": "panda, bee, cat, monkey", "words": [ "nurse", "cat", "panda", "monkey", "bee", "businessman" ], "category_items": [ "panda", "bee", "cat", "monkey" ], "other_categories": [ "profession" ], "num_category_items": 4, "num_others": 2 }, "2021": { "input": "pajamas, camel, octopus, butterfly, jacket, monkey, journalist", "output": "butterfly, octopus, camel, monkey", "words": [ "pajamas", "camel", "octopus", "butterfly", "jacket", "monkey", "journalist" ], 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"color", "profession" ], "num_category_items": 3, "num_others": 3 }, "2034": { "input": "shark, zebra, lion, camel, businessman, olives", "output": "camel, lion, zebra, shark", "words": [ "shark", "zebra", "lion", "camel", "businessman", "olives" ], "category_items": [ "camel", "lion", "zebra", "shark" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 2 }, "2035": { "input": "blue, mouse, truck, chicken, tortoise, camel", "output": "camel, chicken, tortoise, mouse", "words": [ "blue", "mouse", "truck", "chicken", "tortoise", "camel" ], "category_items": [ "camel", "chicken", "tortoise", "mouse" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 2 }, "2036": { "input": "sock, lizard, whale, spider, pear, yellow", "output": "lizard, spider, whale", "words": [ "sock", "lizard", "whale", "spider", "pear", "yellow" ], "category_items": [ "lizard", "spider", "whale" ], "other_categories": [ "food", "color", "clothing" 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"clothing" ], "num_category_items": 4, "num_others": 3 }, "2040": { "input": "gold, elephant, lion, blue, snake", "output": "snake, lion, elephant", "words": [ "gold", "elephant", "lion", "blue", "snake" ], "category_items": [ "snake", "lion", "elephant" ], "other_categories": [ "color" ], "num_category_items": 3, "num_others": 2 }, "2041": { "input": "monkey, gold, penguin, jellyfish, belt", "output": "jellyfish, penguin, monkey", "words": [ "monkey", "gold", "penguin", "jellyfish", "belt" ], "category_items": [ "jellyfish", "penguin", "monkey" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2042": { "input": "jellyfish, penguin, tortoise, belt, doctor, spaceship", "output": "tortoise, penguin, jellyfish", "words": [ "jellyfish", "penguin", "tortoise", "belt", "doctor", "spaceship" ], "category_items": [ "tortoise", "penguin", "jellyfish" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2043": { "input": "panda, pink, elephant, shoe, purple, fly", "output": "fly, elephant, panda", "words": [ "panda", "pink", "elephant", "shoe", "purple", "fly" ], "category_items": [ "fly", "elephant", "panda" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2044": { "input": "elephant, zebra, engineer, designer, mango, snake", "output": "zebra, elephant, snake", "words": [ "elephant", "zebra", "engineer", "designer", "mango", "snake" ], "category_items": [ "zebra", "elephant", "snake" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 3 }, "2045": { "input": "yellow, egg, butterfly, jellyfish, ship, hippo", "output": "hippo, jellyfish, butterfly", "words": [ "yellow", "egg", "butterfly", "jellyfish", "ship", "hippo" ], "category_items": [ "hippo", "jellyfish", "butterfly" ], "other_categories": [ "vehicle", "food", "color" ], "num_category_items": 3, "num_others": 3 }, "2046": { "input": "rice, blue, pear, monkey, frog, elephant, sheep", "output": "elephant, frog, sheep, monkey", "words": [ "rice", "blue", "pear", "monkey", "frog", "elephant", "sheep" ], "category_items": [ "elephant", "frog", "sheep", "monkey" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 3 }, "2047": { "input": "tortoise, snake, tomato, butterfly, photographer, bee", "output": "bee, tortoise, snake, butterfly", "words": [ "tortoise", "snake", "tomato", "butterfly", "photographer", "bee" ], "category_items": [ "bee", "tortoise", "snake", "butterfly" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 2 }, "2048": { "input": "zebra, jellyfish, elephant, brown, hat, cat, yellow", "output": "jellyfish, elephant, cat, zebra", "words": [ "zebra", "jellyfish", "elephant", "brown", "hat", "cat", "yellow" ], "category_items": [ "jellyfish", "elephant", "cat", "zebra" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2049": { "input": "tortoise, snake, taxi, shark, spaceship, goat", "output": "shark, snake, goat, tortoise", "words": [ "tortoise", "snake", "taxi", "shark", "spaceship", "goat" ], "category_items": [ "shark", "snake", "goat", "tortoise" ], "other_categories": [ "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2050": { "input": "donkey, brown, shark, engineer, mouse", "output": "shark, mouse, donkey", "words": [ "donkey", "brown", "shark", "engineer", "mouse" ], "category_items": [ "shark", "mouse", "donkey" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 2 }, "2051": { "input": "horse, fly, trousers, butterfly, scarf, snake, glove", "output": "horse, snake, fly, butterfly", "words": [ "horse", "fly", "trousers", "butterfly", "scarf", "snake", "glove" ], "category_items": [ "horse", "snake", "fly", "butterfly" ], "other_categories": [ "clothing" ], "num_category_items": 4, "num_others": 3 }, "2052": { "input": "whale, jeans, monkey, bee, gray, hat, camel", "output": "bee, camel, whale, monkey", "words": [ "whale", "jeans", "monkey", "bee", "gray", "hat", "camel" ], "category_items": [ "bee", "camel", "whale", "monkey" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2053": { "input": "swan, lion, green, elephant, salad", "output": "swan, lion, elephant", "words": [ "swan", "lion", "green", "elephant", "salad" ], "category_items": [ "swan", "lion", "elephant" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "2054": { "input": "penguin, snake, white, dolphin, yellow, shirt, camel", "output": "penguin, snake, camel, dolphin", "words": [ "penguin", "snake", "white", "dolphin", "yellow", "shirt", "camel" ], "category_items": [ "penguin", "snake", "camel", "dolphin" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2055": { "input": "penguin, whale, candy, fly, skirt", "output": "whale, penguin, fly", "words": [ "penguin", "whale", "candy", "fly", "skirt" ], "category_items": [ "whale", "penguin", "fly" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2056": { "input": "shark, bat, whale, blue, glove, monkey", "output": "monkey, whale, bat, shark", "words": [ "shark", "bat", "whale", "blue", "glove", "monkey" ], "category_items": [ "monkey", "whale", "bat", "shark" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2057": { "input": "donkey, businesswoman, milk, horse, camel, panda", "output": "horse, donkey, panda, camel", "words": [ "donkey", "businesswoman", "milk", "horse", "camel", "panda" ], "category_items": [ "horse", "donkey", "panda", "camel" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 2 }, "2058": { "input": "bus, bean, sheep, gray, octopus, camel", "output": "sheep, octopus, camel", "words": [ "bus", "bean", "sheep", "gray", "octopus", "camel" ], "category_items": [ "sheep", "octopus", "camel" ], "other_categories": [ "food", "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "2059": { "input": "frog, businessman, banana, bat, dolphin", "output": "bat, frog, dolphin", "words": [ "frog", "businessman", "banana", "bat", "dolphin" ], "category_items": [ "bat", "frog", "dolphin" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 2 }, "2060": { "input": "parrot, blue, swan, mouse, penguin, mechanic", "output": "penguin, swan, parrot, mouse", "words": [ "parrot", "blue", "swan", "mouse", "penguin", "mechanic" ], "category_items": [ "penguin", "swan", "parrot", "mouse" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 2 }, "2061": { "input": "bat, hippo, candy, onion, goat, taxi", "output": "bat, hippo, goat", "words": [ "bat", "hippo", "candy", "onion", "goat", "taxi" ], "category_items": [ "bat", "hippo", "goat" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "2062": { "input": "butterfly, snake, cook, dolphin, parrot, photographer", "output": "snake, parrot, butterfly, dolphin", "words": [ "butterfly", "snake", "cook", "dolphin", "parrot", "photographer" ], "category_items": [ "snake", "parrot", "butterfly", "dolphin" ], "other_categories": [ "profession" ], "num_category_items": 4, "num_others": 2 }, "2063": { "input": "honey, dentist, fly, camel, tortoise", "output": "tortoise, fly, camel", "words": [ "honey", "dentist", "fly", "camel", "tortoise" ], "category_items": [ "tortoise", "fly", "camel" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 2 }, "2064": { "input": "cookie, candy, meatballs, parrot, spider, dolphin, chicken", "output": "chicken, parrot, dolphin, spider", "words": [ "cookie", "candy", "meatballs", "parrot", "spider", "dolphin", "chicken" ], "category_items": [ "chicken", "parrot", "dolphin", "spider" ], "other_categories": [ "food" ], "num_category_items": 4, "num_others": 3 }, "2065": { "input": "ambulance, monkey, goat, train, jellyfish, fly", "output": "monkey, goat, fly, jellyfish", "words": [ "ambulance", "monkey", "goat", "train", "jellyfish", "fly" ], "category_items": [ "monkey", "goat", "fly", "jellyfish" ], "other_categories": [ "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2066": { "input": "olives, duck, tiger, photographer, mouse", "output": "tiger, duck, mouse", "words": [ "olives", "duck", "tiger", "photographer", "mouse" ], "category_items": [ "tiger", "duck", "mouse" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 2 }, "2067": { "input": "truck, goat, panda, olives, monkey, actor", "output": "monkey, panda, goat", "words": [ "truck", "goat", "panda", "olives", "monkey", "actor" ], "category_items": [ "monkey", "panda", "goat" ], "other_categories": [ "profession", "food", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "2068": { "input": "ambulance, ice cream, giraffe, dentist, elephant, shark", "output": "giraffe, elephant, shark", "words": [ "ambulance", "ice cream", "giraffe", "dentist", "elephant", "shark" ], "category_items": [ "giraffe", "elephant", "shark" ], "other_categories": [ "profession", "food", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "2069": { "input": "giraffe, burger, penguin, pasta, lion", "output": "giraffe, lion, penguin", "words": [ "giraffe", "burger", "penguin", "pasta", "lion" ], "category_items": [ "giraffe", "lion", "penguin" ], "other_categories": [ "food" ], "num_category_items": 3, "num_others": 2 }, "2070": { "input": "lizard, actor, horse, soup, duck, frog", "output": "duck, lizard, frog, horse", "words": [ "lizard", "actor", "horse", "soup", "duck", "frog" ], "category_items": [ "duck", "lizard", "frog", "horse" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 2 }, "2071": { "input": "tortoise, pear, octopus, lizard, motorway", "output": "octopus, lizard, tortoise", "words": [ "tortoise", "pear", "octopus", "lizard", "motorway" ], "category_items": [ "octopus", "lizard", "tortoise" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "2072": { "input": "designer, jellyfish, fly, monkey, trousers, cat", "output": "jellyfish, cat, fly, monkey", "words": [ "designer", "jellyfish", "fly", "monkey", "trousers", "cat" ], "category_items": [ "jellyfish", "cat", "fly", "monkey" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2073": { "input": "zebra, designer, donkey, whale, purple, potato", "output": "zebra, whale, donkey", "words": [ "zebra", "designer", "donkey", "whale", "purple", "potato" ], "category_items": [ "zebra", "whale", "donkey" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 3, "num_others": 3 }, "2074": { "input": "helicopter, pineapple, shoe, sheep, snail, mouse, whale", "output": "mouse, whale, sheep, snail", "words": [ "helicopter", "pineapple", "shoe", "sheep", "snail", "mouse", "whale" ], "category_items": [ "mouse", "whale", "sheep", "snail" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2075": { "input": "snail, taxi, panda, red, swan, jeans", "output": "panda, swan, snail", "words": [ "snail", "taxi", "panda", "red", "swan", "jeans" ], "category_items": [ "panda", "swan", "snail" ], "other_categories": [ "clothing", "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "2076": { "input": "bee, gold, scarf, spaceship, butterfly, parrot, elephant", "output": "butterfly, elephant, parrot, bee", "words": [ "bee", "gold", "scarf", "spaceship", "butterfly", "parrot", "elephant" ], "category_items": [ "butterfly", "elephant", "parrot", "bee" ], "other_categories": [ "vehicle", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2077": { "input": "swan, swimsuit, tiger, cook, giraffe", "output": "giraffe, swan, tiger", "words": [ "swan", "swimsuit", "tiger", "cook", "giraffe" ], "category_items": [ "giraffe", "swan", "tiger" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2078": { "input": "lion, swan, trousers, rabbit, burger", "output": "swan, rabbit, lion", "words": [ "lion", "swan", "trousers", "rabbit", "burger" ], "category_items": [ "swan", "rabbit", "lion" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2079": { "input": "brown, penguin, parrot, fly, green", "output": "parrot, penguin, fly", "words": [ "brown", "penguin", "parrot", "fly", "green" ], "category_items": [ "parrot", "penguin", "fly" ], "other_categories": [ "color" ], "num_category_items": 3, "num_others": 2 }, "2080": { "input": "mouse, train, lemon, tortoise, snail, zebra", "output": "zebra, snail, mouse, tortoise", "words": [ "mouse", "train", "lemon", "tortoise", "snail", "zebra" ], "category_items": [ "zebra", "snail", "mouse", "tortoise" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2081": { "input": "frog, dolphin, spider, fly, plane, pancake", "output": "frog, fly, dolphin, spider", "words": [ "frog", "dolphin", "spider", "fly", "plane", "pancake" ], "category_items": [ "frog", "fly", "dolphin", "spider" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2082": { "input": "shark, tortoise, car, red, panda, donkey", "output": "panda, shark, donkey, tortoise", "words": [ "shark", "tortoise", "car", "red", "panda", "donkey" ], "category_items": [ "panda", "shark", "donkey", "tortoise" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 2 }, "2083": { "input": "lizard, train, pineapple, swan, yellow, monkey, panda", "output": "panda, monkey, swan, lizard", "words": [ "lizard", "train", "pineapple", "swan", "yellow", "monkey", "panda" ], "category_items": [ "panda", "monkey", "swan", "lizard" ], "other_categories": [ "vehicle", "food", "color" ], "num_category_items": 4, "num_others": 3 }, "2084": { "input": "whale, duck, carrot, cookie, tractor, monkey", "output": "duck, whale, monkey", "words": [ "whale", "duck", "carrot", "cookie", "tractor", "monkey" ], "category_items": [ "duck", "whale", "monkey" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "2085": { "input": "tiger, brown, belt, giraffe, engineer, dolphin", "output": "giraffe, tiger, dolphin", "words": [ "tiger", "brown", "belt", "giraffe", "engineer", "dolphin" ], "category_items": [ "giraffe", "tiger", "dolphin" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2086": { "input": "cook, monkey, sweater, giraffe, photographer, snake", "output": "snake, monkey, giraffe", "words": [ "cook", "monkey", "sweater", "giraffe", "photographer", "snake" ], "category_items": [ "snake", "monkey", "giraffe" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2087": { "input": "lizard, spider, dolphin, engineer, lion, honey, train", "output": "spider, dolphin, lizard, lion", "words": [ "lizard", "spider", "dolphin", "engineer", "lion", "honey", "train" ], "category_items": [ "spider", "dolphin", "lizard", "lion" ], "other_categories": [ "profession", "food", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "2088": { "input": "frog, sock, shark, businesswoman, dolphin, camel", "output": "frog, camel, dolphin, shark", "words": [ "frog", "sock", "shark", "businesswoman", "dolphin", "camel" ], "category_items": [ "frog", "camel", "dolphin", "shark" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2089": { "input": "penguin, butterfly, panda, gold, actor", "output": "penguin, panda, butterfly", "words": [ "penguin", "butterfly", "panda", "gold", "actor" ], "category_items": [ "penguin", "panda", "butterfly" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 2 }, "2090": { "input": "cat, whale, snake, frog, designer, red, yoghurt", "output": "whale, frog, cat, snake", "words": [ "cat", "whale", "snake", "frog", "designer", "red", "yoghurt" ], "category_items": [ "whale", "frog", "cat", "snake" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 4, "num_others": 3 }, "2091": { "input": "goat, artist, sweater, frog, butterfly", "output": "frog, goat, butterfly", "words": [ "goat", "artist", "sweater", "frog", "butterfly" ], "category_items": [ "frog", "goat", "butterfly" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2092": { "input": "cat, bus, butterfly, sheep, lemon, shirt", "output": "butterfly, sheep, cat", "words": [ "cat", "bus", "butterfly", "sheep", "lemon", "shirt" ], "category_items": [ "butterfly", "sheep", "cat" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2093": { "input": "cat, duck, dolphin, dentist, pink", "output": "duck, cat, dolphin", "words": [ "cat", "duck", "dolphin", "dentist", "pink" ], "category_items": [ "duck", "cat", "dolphin" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 2 }, "2094": { "input": "penguin, pasta, zebra, orange, yellow, hippo, giraffe", "output": "hippo, giraffe, zebra, penguin", "words": [ "penguin", "pasta", "zebra", "orange", "yellow", "hippo", "giraffe" ], "category_items": [ "hippo", "giraffe", "zebra", "penguin" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 3 }, "2095": { "input": "cat, car, shark, donkey, designer, dolphin, scarf", "output": "cat, shark, dolphin, donkey", "words": [ "cat", "car", "shark", "donkey", "designer", "dolphin", "scarf" ], "category_items": [ "cat", "shark", "dolphin", "donkey" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2096": { "input": "snail, businesswoman, spaceship, chicken, butterfly, duck, trousers", "output": "duck, snail, chicken, butterfly", "words": [ "snail", "businesswoman", "spaceship", "chicken", "butterfly", "duck", "trousers" ], "category_items": [ "duck", "snail", "chicken", "butterfly" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2097": { "input": "spaceship, train, panda, snake, hat, giraffe", "output": "panda, snake, giraffe", "words": [ "spaceship", "train", "panda", "snake", "hat", "giraffe" ], "category_items": [ "panda", "snake", "giraffe" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2098": { "input": "monkey, penguin, white, banana, elephant", "output": "monkey, elephant, penguin", "words": [ "monkey", "penguin", "white", "banana", "elephant" ], "category_items": [ "monkey", "elephant", "penguin" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "2099": { "input": "ambulance, goat, banana, bat, swan, purple", "output": "bat, swan, goat", "words": [ "ambulance", "goat", "banana", "bat", "swan", "purple" ], "category_items": [ "bat", "swan", "goat" ], "other_categories": [ "food", "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "2100": { "input": "goat, teacher, actor, camel, cat, orange, mouse", "output": "camel, mouse, cat, goat", "words": [ "goat", "teacher", "actor", "camel", "cat", "orange", "mouse" ], "category_items": [ "camel", "mouse", "cat", "goat" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 3 }, "2101": { "input": "waiter, gray, cat, octopus, plane, snail, monkey", "output": "monkey, snail, cat, octopus", "words": [ "waiter", "gray", "cat", "octopus", "plane", "snail", "monkey" ], "category_items": [ "monkey", "snail", "cat", "octopus" ], "other_categories": [ "profession", "color", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "2102": { "input": "rabbit, shirt, jeans, snail, teacher, shark", "output": "shark, rabbit, snail", "words": [ "rabbit", "shirt", "jeans", "snail", "teacher", "shark" ], "category_items": [ "shark", "rabbit", "snail" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2103": { "input": "snake, whale, lion, cat, skirt, dress", "output": "cat, whale, lion, snake", "words": [ "snake", "whale", "lion", "cat", "skirt", "dress" ], "category_items": [ "cat", "whale", "lion", "snake" ], "other_categories": [ "clothing" ], "num_category_items": 4, "num_others": 2 }, "2104": { "input": "tiger, lizard, butterfly, bus, elephant, designer", "output": "lizard, tiger, butterfly, elephant", "words": [ "tiger", "lizard", "butterfly", "bus", "elephant", "designer" ], "category_items": [ "lizard", "tiger", "butterfly", "elephant" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2105": { "input": "actor, butterfly, cook, zebra, snake, pink", "output": "snake, butterfly, zebra", "words": [ "actor", "butterfly", "cook", "zebra", "snake", "pink" ], "category_items": [ "snake", "butterfly", "zebra" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 3 }, "2106": { "input": "swan, train, bee, elephant, nurse", "output": "bee, elephant, swan", "words": [ "swan", "train", "bee", "elephant", "nurse" ], "category_items": [ "bee", "elephant", "swan" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "2107": { "input": "horse, spider, green, dress, parrot, bee", "output": "spider, parrot, bee, horse", "words": [ "horse", "spider", "green", "dress", "parrot", "bee" ], "category_items": [ "spider", "parrot", "bee", "horse" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2108": { "input": "purple, mouse, panda, tiger, yellow", "output": "panda, mouse, tiger", "words": [ "purple", "mouse", "panda", "tiger", "yellow" ], "category_items": [ "panda", "mouse", "tiger" ], "other_categories": [ "color" ], "num_category_items": 3, "num_others": 2 }, "2109": { "input": "businessman, penguin, helicopter, egg, tortoise, bat", "output": "penguin, tortoise, bat", "words": [ "businessman", "penguin", "helicopter", "egg", "tortoise", "bat" ], "category_items": [ "penguin", "tortoise", "bat" ], "other_categories": [ "profession", "food", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "2110": { "input": "pineapple, giraffe, skirt, sheep, parrot, motorway, fly", "output": "sheep, fly, parrot, giraffe", "words": [ "pineapple", "giraffe", "skirt", "sheep", "parrot", "motorway", "fly" ], "category_items": [ "sheep", "fly", "parrot", "giraffe" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2111": { "input": "snake, plane, lizard, monkey, shirt", "output": "lizard, monkey, snake", "words": [ "snake", "plane", "lizard", "monkey", "shirt" ], "category_items": [ "lizard", "monkey", "snake" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2112": { "input": "pineapple, dolphin, donkey, businesswoman, snake, green, bat", "output": "donkey, dolphin, snake, bat", "words": [ "pineapple", "dolphin", "donkey", "businesswoman", "snake", "green", "bat" ], "category_items": [ "donkey", "dolphin", "snake", "bat" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 4, "num_others": 3 }, "2113": { "input": "mouse, octopus, glove, swimsuit, fly, goat, nurse", "output": "mouse, octopus, fly, goat", "words": [ "mouse", "octopus", "glove", "swimsuit", "fly", "goat", "nurse" ], "category_items": [ "mouse", "octopus", "fly", "goat" ], "other_categories": [ "profession", 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"lion", "sheep", "tiger", "cat" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 2 }, "2136": { "input": "photographer, giraffe, dentist, donkey, jellyfish, cat, rice", "output": "jellyfish, giraffe, cat, donkey", "words": [ "photographer", "giraffe", "dentist", "donkey", "jellyfish", "cat", "rice" ], "category_items": [ "jellyfish", "giraffe", "cat", "donkey" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 3 }, "2137": { "input": "jellyfish, actor, taxi, mechanic, whale, bee", "output": "whale, jellyfish, bee", "words": [ "jellyfish", "actor", "taxi", "mechanic", "whale", "bee" ], "category_items": [ "whale", "jellyfish", "bee" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "2138": { "input": "photographer, tiger, snake, pasta, mouse", "output": "tiger, snake, mouse", "words": [ "photographer", "tiger", "snake", "pasta", "mouse" ], "category_items": [ 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"num_others": 3 }, "2145": { "input": "skirt, cat, elephant, sheep, ambulance", "output": "cat, elephant, sheep", "words": [ "skirt", "cat", "elephant", "sheep", "ambulance" ], "category_items": [ "cat", "elephant", "sheep" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2146": { "input": "sock, white, jellyfish, elephant, cat, giraffe", "output": "elephant, cat, giraffe, jellyfish", "words": [ "sock", "white", "jellyfish", "elephant", "cat", "giraffe" ], "category_items": [ "elephant", "cat", "giraffe", "jellyfish" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2147": { "input": "octopus, nurse, chicken, jellyfish, hippo, pasta", "output": "jellyfish, octopus, chicken, hippo", "words": [ "octopus", "nurse", "chicken", "jellyfish", "hippo", "pasta" ], "category_items": [ "jellyfish", "octopus", "chicken", "hippo" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 2 }, "2148": { "input": "motorway, ambulance, spider, camel, octopus, butterfly", "output": "octopus, spider, camel, butterfly", "words": [ "motorway", "ambulance", "spider", "camel", "octopus", "butterfly" ], "category_items": [ "octopus", "spider", "camel", "butterfly" ], "other_categories": [ "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2149": { "input": "bus, green, shark, designer, dolphin, rabbit, donkey", "output": "shark, donkey, dolphin, rabbit", "words": [ "bus", "green", "shark", "designer", "dolphin", "rabbit", "donkey" ], "category_items": [ "shark", "donkey", "dolphin", "rabbit" ], "other_categories": [ "profession", "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "2150": { "input": "zebra, penguin, sandwich, monkey, photographer", "output": "zebra, monkey, penguin", "words": [ "zebra", "penguin", "sandwich", "monkey", "photographer" ], "category_items": [ "zebra", "monkey", "penguin" ], "other_categories": [ "profession", 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"num_others": 2 }, "2157": { "input": "cat, donkey, waiter, cook, tiger, penguin", "output": "donkey, cat, tiger, penguin", "words": [ "cat", "donkey", "waiter", "cook", "tiger", "penguin" ], "category_items": [ "donkey", "cat", "tiger", "penguin" ], "other_categories": [ "profession" ], "num_category_items": 4, "num_others": 2 }, "2158": { "input": "red, penguin, milk, octopus, hippo, artist, bat", "output": "hippo, bat, octopus, penguin", "words": [ "red", "penguin", "milk", "octopus", "hippo", "artist", "bat" ], "category_items": [ "hippo", "bat", "octopus", "penguin" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 4, "num_others": 3 }, "2159": { "input": "tortoise, businessman, monkey, scarf, cookie, dolphin, donkey", "output": "tortoise, dolphin, donkey, monkey", "words": [ "tortoise", "businessman", "monkey", "scarf", "cookie", "dolphin", "donkey" ], "category_items": [ "tortoise", "dolphin", "donkey", "monkey" ], "other_categories": [ 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"2163": { "input": "zebra, truck, fly, lion, blue, jacket", "output": "fly, zebra, lion", "words": [ "zebra", "truck", "fly", "lion", "blue", "jacket" ], "category_items": [ "fly", "zebra", "lion" ], "other_categories": [ "vehicle", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2164": { "input": "frog, blue, whale, monkey, ship", "output": "frog, whale, monkey", "words": [ "frog", "blue", "whale", "monkey", "ship" ], "category_items": [ "frog", "whale", "monkey" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 2 }, "2165": { "input": "chicken, panda, pancake, tortoise, white", "output": "chicken, panda, tortoise", "words": [ "chicken", "panda", "pancake", "tortoise", "white" ], "category_items": [ "chicken", "panda", "tortoise" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "2166": { "input": "car, bee, helicopter, duck, swimsuit, goat", "output": "duck, bee, goat", "words": [ "car", "bee", "helicopter", "duck", "swimsuit", "goat" ], "category_items": [ "duck", "bee", "goat" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2167": { "input": "green, hippo, orange, tortoise, bee, frog", "output": "bee, hippo, tortoise, frog", "words": [ "green", "hippo", "orange", "tortoise", "bee", "frog" ], "category_items": [ "bee", "hippo", "tortoise", "frog" ], "other_categories": [ "color" ], "num_category_items": 4, "num_others": 2 }, "2168": { "input": "horse, waiter, helicopter, panda, zebra", "output": "panda, zebra, horse", "words": [ "horse", "waiter", "helicopter", "panda", "zebra" ], "category_items": [ "panda", "zebra", "horse" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "2169": { "input": "jellyfish, tiger, horse, plane, fly, taxi, ambulance", "output": "tiger, horse, jellyfish, fly", "words": [ "jellyfish", "tiger", "horse", "plane", "fly", "taxi", "ambulance" ], "category_items": [ "tiger", "horse", "jellyfish", "fly" ], "other_categories": [ "vehicle" ], "num_category_items": 4, "num_others": 3 }, "2170": { "input": "lion, orange, giraffe, truck, camel, rabbit, dentist", "output": "rabbit, lion, camel, giraffe", "words": [ "lion", "orange", "giraffe", "truck", "camel", "rabbit", "dentist" ], "category_items": [ "rabbit", "lion", "camel", "giraffe" ], "other_categories": [ "profession", "food", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "2171": { "input": "journalist, gray, octopus, panda, shark, monkey, pink", "output": "shark, monkey, panda, octopus", "words": [ "journalist", "gray", "octopus", "panda", "shark", "monkey", "pink" ], "category_items": [ "shark", "monkey", "panda", "octopus" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 3 }, "2172": { "input": "teacher, camel, yellow, sheep, blue, zebra", "output": "camel, zebra, sheep", "words": [ "teacher", "camel", "yellow", "sheep", "blue", "zebra" ], "category_items": [ "camel", "zebra", "sheep" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 3 }, "2173": { "input": "belt, hat, sheep, dolphin, cat, jellyfish", "output": "jellyfish, dolphin, cat, sheep", "words": [ "belt", "hat", "sheep", "dolphin", "cat", "jellyfish" ], "category_items": [ "jellyfish", "dolphin", "cat", "sheep" ], "other_categories": [ "clothing" ], "num_category_items": 4, "num_others": 2 }, "2174": { "input": "horse, ship, fly, sock, mouse, octopus, jeans", "output": "mouse, horse, octopus, fly", "words": [ "horse", "ship", "fly", "sock", "mouse", "octopus", "jeans" ], "category_items": [ "mouse", "horse", "octopus", "fly" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2175": { "input": "horse, orange, actor, swan, penguin, brown", "output": "penguin, swan, horse", "words": [ "horse", "orange", "actor", "swan", "penguin", "brown" ], "category_items": [ "penguin", "swan", "horse" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 3 }, "2176": { "input": "donkey, dress, spider, truck, duck", "output": "spider, donkey, duck", "words": [ "donkey", "dress", "spider", "truck", "duck" ], "category_items": [ "spider", "donkey", "duck" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2177": { "input": "bee, lion, zebra, penguin, plane, hat, purple", "output": "lion, bee, penguin, zebra", "words": [ "bee", "lion", "zebra", "penguin", "plane", "hat", "purple" ], "category_items": [ "lion", "bee", "penguin", "zebra" ], "other_categories": [ "vehicle", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2178": { "input": "hippo, mango, designer, fly, swan, tomato", "output": "fly, swan, hippo", "words": [ "hippo", "mango", "designer", "fly", "swan", "tomato" ], "category_items": [ "fly", "swan", "hippo" ], "other_categories": [ "profession", "food" 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waiter, parrot, swan, businesswoman, burger", "output": "shark, lizard, parrot, swan", "words": [ "shark", "lizard", "waiter", "parrot", "swan", "businesswoman", "burger" ], "category_items": [ "shark", "lizard", "parrot", "swan" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 3 }, "2189": { "input": "pineapple, swan, green, engineer, horse, chicken, snake", "output": "chicken, snake, swan, horse", "words": [ "pineapple", "swan", "green", "engineer", "horse", "chicken", "snake" ], "category_items": [ "chicken", "snake", "swan", "horse" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 4, "num_others": 3 }, "2190": { "input": "tortoise, chicken, panda, jellyfish, motorway, sausage, yoghurt", "output": "chicken, panda, tortoise, jellyfish", "words": [ "tortoise", "chicken", "panda", "jellyfish", "motorway", "sausage", "yoghurt" ], "category_items": [ "chicken", "panda", "tortoise", "jellyfish" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "2191": { "input": "panda, zebra, orange, goat, camel, swimsuit", "output": "panda, camel, goat, zebra", "words": [ "panda", "zebra", "orange", "goat", "camel", "swimsuit" ], "category_items": [ "panda", "camel", "goat", "zebra" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2192": { "input": "penguin, yellow, truck, snake, cat, zebra", "output": "cat, zebra, penguin, snake", "words": [ "penguin", "yellow", "truck", "snake", "cat", "zebra" ], "category_items": [ "cat", "zebra", "penguin", "snake" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 2 }, "2193": { "input": "whale, shirt, actor, chicken, pink, lizard, panda", "output": "chicken, lizard, panda, whale", "words": [ "whale", "shirt", "actor", "chicken", "pink", "lizard", "panda" ], "category_items": [ "chicken", "lizard", "panda", "whale" ], "other_categories": [ "profession", 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"pink", "goat", "whale", "mouse" ], "category_items": [ "whale", "mouse", "goat" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "2204": { "input": "horse, car, dentist, swan, donkey", "output": "donkey, horse, swan", "words": [ "horse", "car", "dentist", "swan", "donkey" ], "category_items": [ "donkey", "horse", "swan" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "2205": { "input": "whale, donkey, shark, green, actor", "output": "shark, donkey, whale", "words": [ "whale", "donkey", "shark", "green", "actor" ], "category_items": [ "shark", "donkey", "whale" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 2 }, "2206": { "input": "brown, belt, rabbit, white, bat, swan, tortoise", "output": "swan, tortoise, bat, rabbit", "words": [ "brown", "belt", "rabbit", "white", "bat", "swan", "tortoise" ], "category_items": [ "swan", "tortoise", "bat", "rabbit" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2207": { "input": "camel, jellyfish, businessman, spider, belt, chicken, red", "output": "camel, chicken, spider, jellyfish", "words": [ "camel", "jellyfish", "businessman", "spider", "belt", "chicken", "red" ], "category_items": [ "camel", "chicken", "spider", "jellyfish" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2208": { "input": "chicken, cat, lizard, photographer, white, butter", "output": "cat, lizard, chicken", "words": [ "chicken", "cat", "lizard", "photographer", "white", "butter" ], "category_items": [ "cat", "lizard", "chicken" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 3, "num_others": 3 }, "2209": { "input": "tiger, candy, jellyfish, red, cat", "output": "jellyfish, tiger, cat", "words": [ "tiger", "candy", "jellyfish", "red", "cat" ], "category_items": [ "jellyfish", "tiger", "cat" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "2210": { "input": "frog, blue, monkey, fly, ambulance, tortoise", "output": "frog, tortoise, fly, monkey", "words": [ "frog", "blue", "monkey", "fly", "ambulance", "tortoise" ], "category_items": [ "frog", "tortoise", "fly", "monkey" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 2 }, "2211": { "input": "bat, plane, octopus, swan, tractor, sheep", "output": "sheep, octopus, bat, swan", "words": [ "bat", "plane", "octopus", "swan", "tractor", "sheep" ], "category_items": [ "sheep", "octopus", "bat", "swan" ], "other_categories": [ "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2212": { "input": "monkey, goat, purple, butterfly, waiter, car", "output": "butterfly, goat, monkey", "words": [ "monkey", "goat", "purple", "butterfly", "waiter", "car" ], "category_items": [ "butterfly", "goat", "monkey" ], "other_categories": [ "profession", "color", "vehicle" 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}, "2222": { "input": "pink, octopus, glove, lion, motorway, lizard", "output": "lizard, lion, octopus", "words": [ "pink", "octopus", "glove", "lion", "motorway", "lizard" ], "category_items": [ "lizard", "lion", "octopus" ], "other_categories": [ "vehicle", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2223": { "input": "panda, lion, octopus, goat, candy, green", "output": "panda, goat, lion, octopus", "words": [ "panda", "lion", "octopus", "goat", "candy", "green" ], "category_items": [ "panda", "goat", "lion", "octopus" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 2 }, "2224": { "input": "tortoise, gold, cat, brown, frog", "output": "cat, tortoise, frog", "words": [ "tortoise", "gold", "cat", "brown", "frog" ], "category_items": [ "cat", "tortoise", "frog" ], "other_categories": [ "color" ], "num_category_items": 3, "num_others": 2 }, "2225": { "input": "rabbit, duck, sweater, goat, belt", "output": "duck, goat, rabbit", "words": [ "rabbit", "duck", "sweater", "goat", "belt" ], "category_items": [ "duck", "goat", "rabbit" ], "other_categories": [ "clothing" ], "num_category_items": 3, "num_others": 2 }, "2226": { "input": "designer, fly, hat, elephant, swan, bee, orange", "output": "swan, elephant, bee, fly", "words": [ "designer", "fly", "hat", "elephant", "swan", "bee", "orange" ], "category_items": [ "swan", "elephant", "bee", "fly" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2227": { "input": "hippo, businesswoman, waiter, sheep, chicken, giraffe, white", "output": "sheep, hippo, chicken, giraffe", "words": [ "hippo", "businesswoman", "waiter", "sheep", "chicken", "giraffe", "white" ], "category_items": [ "sheep", "hippo", "chicken", "giraffe" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 3 }, "2228": { "input": "salad, penguin, helicopter, parrot, rabbit, bat", "output": "rabbit, penguin, 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"elephant" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2300": { "input": "elephant, sheep, pink, rabbit, truck, octopus", "output": "rabbit, octopus, sheep, elephant", "words": [ "elephant", "sheep", "pink", "rabbit", "truck", "octopus" ], "category_items": [ "rabbit", "octopus", "sheep", "elephant" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 2 }, "2301": { "input": "businessman, purple, elephant, snail, panda", "output": "panda, snail, elephant", "words": [ "businessman", "purple", "elephant", "snail", "panda" ], "category_items": [ "panda", "snail", "elephant" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 2 }, "2302": { "input": "monkey, cook, apple, fly, dolphin", "output": "dolphin, fly, monkey", "words": [ "monkey", "cook", "apple", "fly", "dolphin" ], "category_items": [ "dolphin", "fly", "monkey" ], "other_categories": [ "profession", "food" ], 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"2306": { "input": "teacher, hippo, cat, elephant, snail, yellow", "output": "hippo, elephant, snail, cat", "words": [ "teacher", "hippo", "cat", "elephant", "snail", "yellow" ], "category_items": [ "hippo", "elephant", "snail", "cat" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 2 }, "2307": { "input": "chicken, purple, tortoise, snail, shoe", "output": "chicken, tortoise, snail", "words": [ "chicken", "purple", "tortoise", "snail", "shoe" ], "category_items": [ "chicken", "tortoise", "snail" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2308": { "input": "bat, chicken, designer, soup, fly, horse", "output": "chicken, horse, bat, fly", "words": [ "bat", "chicken", "designer", "soup", "fly", "horse" ], "category_items": [ "chicken", "horse", "bat", "fly" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 2 }, "2309": { "input": "dolphin, bat, gray, snail, red", "output": "dolphin, bat, snail", "words": [ "dolphin", "bat", "gray", "snail", "red" ], "category_items": [ "dolphin", "bat", "snail" ], "other_categories": [ "color" ], "num_category_items": 3, "num_others": 2 }, "2310": { "input": "purple, carrot, zebra, monkey, parrot, truck", "output": "zebra, monkey, parrot", "words": [ "purple", "carrot", "zebra", "monkey", "parrot", "truck" ], "category_items": [ "zebra", "monkey", "parrot" ], "other_categories": [ "food", "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "2311": { "input": "salad, goat, teacher, sheep, penguin, hippo", "output": "hippo, penguin, sheep, goat", "words": [ "salad", "goat", "teacher", "sheep", "penguin", "hippo" ], "category_items": [ "hippo", "penguin", "sheep", "goat" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 2 }, "2312": { "input": "lizard, motorway, artist, horse, designer, bat", "output": "lizard, bat, horse", "words": [ "lizard", "motorway", 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"artist", "shark", "whale" ], "category_items": [ "shark", "whale", "duck" ], "other_categories": [ "profession" ], "num_category_items": 3, "num_others": 2 }, "2316": { "input": "glove, rabbit, purple, snail, bus, donkey", "output": "rabbit, snail, donkey", "words": [ "glove", "rabbit", "purple", "snail", "bus", "donkey" ], "category_items": [ "rabbit", "snail", "donkey" ], "other_categories": [ "vehicle", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2317": { "input": "zebra, sock, frog, dentist, spider, butterfly, engineer", "output": "frog, spider, zebra, butterfly", "words": [ "zebra", "sock", "frog", "dentist", "spider", "butterfly", "engineer" ], "category_items": [ "frog", "spider", "zebra", "butterfly" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2318": { "input": "bat, hippo, lemon, goat, artist, monkey", "output": "bat, monkey, hippo, goat", "words": [ "bat", "hippo", "lemon", "goat", "artist", 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"whale" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 2 }, "2322": { "input": "banana, rabbit, giraffe, red, swan, pear", "output": "swan, rabbit, giraffe", "words": [ "banana", "rabbit", "giraffe", "red", "swan", "pear" ], "category_items": [ "swan", "rabbit", "giraffe" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 3 }, "2323": { "input": "ship, swan, parrot, monkey, butter, dentist, shark", "output": "parrot, shark, swan, monkey", "words": [ "ship", "swan", "parrot", "monkey", "butter", "dentist", "shark" ], "category_items": [ "parrot", "shark", "swan", "monkey" ], "other_categories": [ "profession", "food", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "2324": { "input": "businessman, octopus, zebra, orange, elephant, scarf", "output": "octopus, zebra, elephant", "words": [ "businessman", "octopus", "zebra", "orange", "elephant", "scarf" ], "category_items": [ "octopus", "zebra", "elephant" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2325": { "input": "green, zebra, snail, trousers, swan", "output": "zebra, swan, snail", "words": [ "green", "zebra", "snail", "trousers", "swan" ], "category_items": [ "zebra", "swan", "snail" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2326": { "input": "ship, banana, octopus, brown, mouse, monkey", "output": "monkey, octopus, mouse", "words": [ "ship", "banana", "octopus", "brown", "mouse", "monkey" ], "category_items": [ "monkey", "octopus", "mouse" ], "other_categories": [ "vehicle", "food", "color" ], "num_category_items": 3, "num_others": 3 }, "2327": { "input": "lion, designer, swimsuit, mouse, tortoise, snake", "output": "tortoise, mouse, lion, snake", "words": [ "lion", "designer", "swimsuit", "mouse", "tortoise", "snake" ], "category_items": [ "tortoise", "mouse", "lion", "snake" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2328": { "input": "sheep, shirt, penguin, waiter, burger, snake", "output": "sheep, penguin, snake", "words": [ "sheep", "shirt", "penguin", "waiter", "burger", "snake" ], "category_items": [ "sheep", "penguin", "snake" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2329": { "input": "bee, butterfly, horse, cookie, teacher, hippo", "output": "butterfly, horse, bee, hippo", "words": [ "bee", "butterfly", "horse", "cookie", "teacher", "hippo" ], "category_items": [ "butterfly", "horse", "bee", "hippo" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 2 }, "2330": { "input": "sweater, orange, swan, whale, giraffe", "output": "whale, giraffe, swan", "words": [ "sweater", "orange", "swan", "whale", "giraffe" ], "category_items": [ "whale", "giraffe", "swan" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2331": { "input": "tortoise, butterfly, goat, engineer, shoe", "output": "tortoise, goat, butterfly", "words": [ "tortoise", "butterfly", "goat", "engineer", "shoe" ], "category_items": [ "tortoise", "goat", "butterfly" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2332": { "input": "doctor, giraffe, ambulance, donkey, horse, bus", "output": "giraffe, donkey, horse", "words": [ "doctor", "giraffe", "ambulance", "donkey", "horse", "bus" ], "category_items": [ "giraffe", "donkey", "horse" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "2333": { "input": "panda, red, monkey, goat, bread, rabbit, swimsuit", "output": "rabbit, monkey, panda, goat", "words": [ "panda", "red", "monkey", "goat", "bread", "rabbit", "swimsuit" ], "category_items": [ "rabbit", "monkey", "panda", "goat" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2334": { "input": "sweater, dentist, chicken, lion, octopus, swan", "output": "swan, lion, octopus, chicken", "words": [ "sweater", "dentist", "chicken", "lion", "octopus", "swan" ], "category_items": [ "swan", "lion", "octopus", "chicken" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2335": { "input": "shark, giraffe, sandwich, dolphin, sweater, donkey", "output": "shark, donkey, giraffe, dolphin", "words": [ "shark", "giraffe", "sandwich", "dolphin", "sweater", "donkey" ], "category_items": [ "shark", "donkey", "giraffe", "dolphin" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2336": { "input": "spider, parrot, yoghurt, artist, monkey", "output": "monkey, parrot, spider", "words": [ "spider", "parrot", "yoghurt", "artist", "monkey" ], "category_items": [ "monkey", "parrot", "spider" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 2 }, "2337": { "input": "sock, snail, giraffe, goat, mouse, teacher", "output": "goat, mouse, snail, giraffe", "words": [ "sock", "snail", "giraffe", "goat", "mouse", "teacher" ], "category_items": [ "goat", "mouse", "snail", "giraffe" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2338": { "input": "shirt, goat, rabbit, chocolate, lizard", "output": "lizard, rabbit, goat", "words": [ "shirt", "goat", "rabbit", "chocolate", "lizard" ], "category_items": [ "lizard", "rabbit", "goat" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2339": { "input": "giraffe, businesswoman, spaceship, tiger, whale, frog", "output": "tiger, frog, giraffe, whale", "words": [ "giraffe", "businesswoman", "spaceship", "tiger", "whale", "frog" ], "category_items": [ "tiger", "frog", "giraffe", "whale" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2340": { "input": "jellyfish, waiter, trousers, goat, spider", "output": "spider, jellyfish, goat", "words": [ "jellyfish", "waiter", "trousers", "goat", "spider" ], "category_items": [ "spider", "jellyfish", "goat" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2341": { "input": "yellow, butterfly, octopus, parrot, spaceship, snake", "output": "snake, octopus, butterfly, parrot", "words": [ "yellow", "butterfly", "octopus", "parrot", "spaceship", "snake" ], "category_items": [ "snake", "octopus", "butterfly", "parrot" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 2 }, "2342": { "input": "swan, lion, pancake, jellyfish, actor, parrot, doctor", "output": "swan, parrot, jellyfish, lion", "words": [ "swan", "lion", "pancake", "jellyfish", "actor", "parrot", "doctor" ], "category_items": [ "swan", "parrot", "jellyfish", "lion" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 3 }, "2343": { "input": "yellow, parrot, snake, cookie, whale", "output": "snake, whale, parrot", "words": [ "yellow", "parrot", "snake", "cookie", "whale" ], "category_items": [ "snake", "whale", "parrot" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "2344": { "input": "monkey, duck, kiwi, bus, sheep, parrot, blue", "output": "monkey, duck, sheep, parrot", "words": [ "monkey", "duck", "kiwi", "bus", "sheep", "parrot", "blue" ], "category_items": [ "monkey", "duck", "sheep", "parrot" ], "other_categories": [ "food", "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "2345": { "input": "horse, monkey, parrot, elephant, train, jacket", "output": "elephant, monkey, parrot, horse", "words": [ "horse", "monkey", "parrot", "elephant", "train", "jacket" ], "category_items": [ "elephant", "monkey", "parrot", "horse" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2346": { "input": "frog, camel, ambulance, sock, lion, designer, dolphin", "output": "dolphin, frog, lion, camel", "words": [ "frog", "camel", "ambulance", "sock", "lion", "designer", "dolphin" ], "category_items": [ "dolphin", "frog", "lion", "camel" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2347": { "input": "snail, bus, sweater, dolphin, camel, penguin, orange", "output": "camel, dolphin, snail, penguin", "words": [ "snail", "bus", "sweater", "dolphin", "camel", "penguin", "orange" ], "category_items": [ "camel", "dolphin", "snail", "penguin" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2348": { "input": "gold, chicken, businesswoman, octopus, spider, tortoise", "output": "spider, octopus, tortoise, chicken", "words": [ "gold", "chicken", "businesswoman", "octopus", "spider", "tortoise" ], "category_items": [ "spider", "octopus", "tortoise", "chicken" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 2 }, "2349": { "input": "vegetable, bread, penguin, egg, panda, zebra", "output": "zebra, panda, penguin", "words": [ "vegetable", "bread", "penguin", "egg", "panda", "zebra" ], "category_items": [ "zebra", "panda", "penguin" ], "other_categories": [ "food" ], "num_category_items": 3, "num_others": 3 }, "2350": { "input": "panda, trousers, car, lemon, lion, snake, goat", "output": "panda, snake, goat, lion", "words": [ "panda", "trousers", "car", "lemon", "lion", "snake", "goat" ], "category_items": [ "panda", "snake", "goat", "lion" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2351": { "input": "tiger, doctor, parrot, trousers, hippo", "output": "hippo, tiger, parrot", "words": [ "tiger", "doctor", "parrot", "trousers", "hippo" ], "category_items": [ "hippo", "tiger", "parrot" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2352": { "input": "taxi, mechanic, penguin, shark, octopus, fly", "output": "penguin, fly, shark, octopus", "words": [ "taxi", "mechanic", "penguin", "shark", "octopus", "fly" ], "category_items": [ "penguin", "fly", "shark", "octopus" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2353": { "input": "snail, monkey, chicken, journalist, zebra, taxi", "output": "zebra, monkey, snail, chicken", "words": [ "snail", "monkey", "chicken", "journalist", "zebra", "taxi" ], "category_items": [ "zebra", "monkey", "snail", "chicken" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2354": { "input": "panda, tomato, jacket, mouse, butterfly, businesswoman", "output": "mouse, panda, butterfly", "words": [ "panda", "tomato", "jacket", "mouse", "butterfly", "businesswoman" ], "category_items": [ "mouse", "panda", "butterfly" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2355": { "input": "snake, snail, dress, sheep, waiter", "output": "snail, snake, sheep", "words": [ "snake", "snail", "dress", "sheep", "waiter" ], "category_items": [ "snail", "snake", "sheep" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2356": { "input": "dentist, hippo, vegetable, camel, frog", "output": "camel, frog, hippo", "words": [ "dentist", "hippo", "vegetable", "camel", "frog" ], "category_items": [ "camel", "frog", "hippo" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 2 }, "2357": { "input": "penguin, zebra, yoghurt, sheep, cook, shark", "output": "zebra, shark, sheep, penguin", "words": [ "penguin", "zebra", "yoghurt", "sheep", "cook", "shark" ], "category_items": [ "zebra", "shark", "sheep", "penguin" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 2 }, "2358": { "input": "purple, bat, mango, monkey, bean, dolphin, penguin", "output": "penguin, bat, monkey, dolphin", "words": [ "purple", "bat", "mango", "monkey", "bean", "dolphin", "penguin" ], "category_items": [ "penguin", "bat", "monkey", "dolphin" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 3 }, "2359": { "input": "plane, rabbit, bat, panda, hat, sandwich, frog", "output": "bat, rabbit, panda, frog", "words": [ "plane", "rabbit", "bat", "panda", "hat", "sandwich", "frog" ], "category_items": [ "bat", "rabbit", "panda", "frog" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2360": { "input": "tortoise, rabbit, teacher, tomato, frog", "output": "tortoise, frog, rabbit", "words": [ "tortoise", "rabbit", "teacher", "tomato", "frog" ], "category_items": [ "tortoise", "frog", "rabbit" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 2 }, "2361": { "input": "lizard, designer, whale, spider, pea", "output": "whale, lizard, spider", "words": [ "lizard", "designer", "whale", "spider", "pea" ], "category_items": [ "whale", "lizard", "spider" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 2 }, "2362": { "input": "panda, horse, jacket, snake, gray, rabbit, mechanic", "output": "rabbit, horse, panda, snake", "words": [ "panda", "horse", "jacket", "snake", "gray", "rabbit", "mechanic" ], "category_items": [ "rabbit", "horse", "panda", "snake" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2363": { "input": "parrot, businesswoman, sock, engineer, snake, goat, snail", "output": "goat, snake, snail, parrot", "words": [ "parrot", "businesswoman", "sock", "engineer", "snake", "goat", "snail" ], "category_items": [ "goat", "snake", "snail", "parrot" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2364": { "input": "lion, snake, spider, tiger, purple, cookie, gray", "output": "lion, snake, spider, tiger", "words": [ "lion", "snake", "spider", "tiger", "purple", "cookie", "gray" ], "category_items": [ "lion", "snake", "spider", "tiger" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 3 }, "2365": { "input": "teacher, jellyfish, snake, pineapple, elephant, green", "output": "elephant, jellyfish, snake", "words": [ "teacher", "jellyfish", "snake", "pineapple", "elephant", "green" ], "category_items": [ "elephant", "jellyfish", "snake" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 3, "num_others": 3 }, "2366": { "input": "octopus, teacher, designer, zebra, spider, snail", "output": "spider, snail, octopus, zebra", "words": [ "octopus", "teacher", "designer", "zebra", "spider", "snail" ], "category_items": [ "spider", "snail", "octopus", "zebra" ], "other_categories": [ "profession" ], "num_category_items": 4, "num_others": 2 }, "2367": { "input": "zebra, doctor, octopus, sausage, mechanic, swan", "output": "octopus, zebra, swan", "words": [ "zebra", "doctor", "octopus", "sausage", "mechanic", "swan" ], "category_items": [ "octopus", "zebra", "swan" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 3 }, "2368": { "input": "soup, goat, frog, penguin, mechanic, jeans, elephant", "output": "goat, elephant, penguin, frog", "words": [ "soup", "goat", "frog", "penguin", "mechanic", "jeans", "elephant" ], "category_items": [ "goat", "elephant", "penguin", "frog" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2369": { "input": "shark, jeans, parrot, donkey, sweater", "output": "shark, parrot, donkey", "words": [ "shark", "jeans", "parrot", "donkey", "sweater" ], "category_items": [ "shark", "parrot", "donkey" ], "other_categories": [ "clothing" ], "num_category_items": 3, "num_others": 2 }, "2370": { "input": "orange, chocolate, giraffe, penguin, hippo, monkey, jacket", "output": "monkey, giraffe, hippo, penguin", "words": [ "orange", "chocolate", "giraffe", "penguin", "hippo", "monkey", "jacket" ], "category_items": [ "monkey", "giraffe", "hippo", "penguin" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2371": { "input": "parrot, frog, olives, goat, milk, rabbit", "output": "goat, rabbit, parrot, frog", "words": [ "parrot", "frog", "olives", "goat", "milk", "rabbit" ], "category_items": [ "goat", "rabbit", "parrot", "frog" ], "other_categories": [ "food" ], "num_category_items": 4, "num_others": 2 }, "2372": { "input": "shark, sheep, tiger, businessman, actor", "output": "shark, sheep, tiger", "words": [ "shark", "sheep", "tiger", "businessman", "actor" ], "category_items": [ "shark", "sheep", "tiger" ], "other_categories": [ "profession" ], "num_category_items": 3, "num_others": 2 }, "2373": { "input": "train, frog, snail, camel, pancake, soup", "output": "snail, camel, frog", "words": [ "train", "frog", "snail", "camel", "pancake", "soup" ], "category_items": [ "snail", "camel", "frog" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "2374": { "input": "ice cream, whale, waiter, bat, monkey, blue, duck", "output": "monkey, whale, bat, duck", "words": [ "ice cream", "whale", "waiter", "bat", "monkey", "blue", "duck" ], "category_items": [ "monkey", "whale", "bat", "duck" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 4, "num_others": 3 }, "2375": { "input": "sheep, tiger, fly, jacket, monkey, orange", "output": "sheep, fly, monkey, tiger", "words": [ "sheep", "tiger", "fly", "jacket", "monkey", "orange" ], "category_items": [ "sheep", "fly", "monkey", "tiger" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2376": { "input": "lizard, giraffe, purple, spider, snake, glove", "output": "giraffe, spider, lizard, snake", "words": [ "lizard", "giraffe", "purple", "spider", "snake", "glove" ], "category_items": [ "giraffe", "spider", "lizard", "snake" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2377": { "input": "pajamas, plane, dolphin, green, bee, cat, elephant", "output": "bee, cat, elephant, dolphin", "words": [ "pajamas", "plane", "dolphin", "green", "bee", "cat", "elephant" ], "category_items": [ "bee", "cat", "elephant", "dolphin" ], "other_categories": [ "clothing", "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "2378": { "input": "motorway, rabbit, yellow, dolphin, swan", "output": "rabbit, dolphin, swan", "words": [ "motorway", "rabbit", "yellow", "dolphin", "swan" ], "category_items": [ "rabbit", "dolphin", "swan" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 2 }, "2379": { "input": "white, rabbit, hippo, green, tortoise", "output": "hippo, rabbit, tortoise", "words": [ "white", "rabbit", "hippo", "green", "tortoise" ], "category_items": [ "hippo", "rabbit", "tortoise" ], "other_categories": [ "color" ], "num_category_items": 3, "num_others": 2 }, "2380": { "input": "fly, vegetable, elephant, journalist, shark", "output": "fly, elephant, shark", "words": [ "fly", "vegetable", "elephant", "journalist", "shark" ], "category_items": [ "fly", "elephant", "shark" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 2 }, "2381": { "input": "hippo, green, lion, panda, shoe", "output": "lion, hippo, panda", "words": [ "hippo", "green", "lion", "panda", "shoe" ], "category_items": [ "lion", "hippo", "panda" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2382": { "input": "monkey, shoe, fly, rabbit, sheep, ship", "output": "fly, sheep, monkey, rabbit", "words": [ "monkey", "shoe", "fly", "rabbit", "sheep", "ship" ], "category_items": [ "fly", "sheep", "monkey", "rabbit" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2383": { "input": "giraffe, donkey, lizard, purple, pajamas, shark, blue", "output": "lizard, donkey, shark, giraffe", "words": [ "giraffe", "donkey", "lizard", "purple", "pajamas", "shark", "blue" ], "category_items": [ "lizard", "donkey", "shark", "giraffe" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2384": { "input": "fly, frog, ice cream, tractor, dolphin, ambulance, shark", "output": "shark, fly, dolphin, frog", "words": [ "fly", "frog", "ice cream", "tractor", "dolphin", "ambulance", "shark" ], "category_items": [ "shark", "fly", "dolphin", "frog" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "2385": { "input": "dolphin, jellyfish, carrot, motorway, cat", "output": "dolphin, jellyfish, cat", "words": [ "dolphin", "jellyfish", "carrot", "motorway", "cat" ], "category_items": [ "dolphin", "jellyfish", "cat" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "2386": { "input": "fly, green, shark, camel, businessman, mouse", "output": "fly, mouse, camel, shark", "words": [ "fly", "green", "shark", "camel", "businessman", "mouse" ], "category_items": [ "fly", "mouse", "camel", "shark" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 2 }, "2387": { "input": "pink, rabbit, shirt, tortoise, goat, cat", "output": "tortoise, rabbit, cat, goat", "words": [ "pink", "rabbit", "shirt", "tortoise", "goat", "cat" ], "category_items": [ "tortoise", "rabbit", "cat", "goat" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2388": { "input": "bee, potato, giraffe, zebra, motorway", "output": "giraffe, zebra, bee", "words": [ "bee", "potato", "giraffe", "zebra", "motorway" ], "category_items": [ "giraffe", "zebra", "bee" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "2389": { "input": "trousers, snail, chicken, spider, bread", "output": "snail, spider, chicken", "words": [ "trousers", "snail", "chicken", "spider", "bread" ], "category_items": [ "snail", "spider", "chicken" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2390": { "input": "elephant, photographer, teacher, horse, rabbit, brown", "output": "elephant, rabbit, horse", "words": [ "elephant", "photographer", "teacher", "horse", "rabbit", "brown" ], "category_items": [ "elephant", "rabbit", "horse" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 3 }, "2391": { "input": "cat, lion, giraffe, car, purple, scarf", "output": "lion, cat, giraffe", "words": [ "cat", "lion", "giraffe", "car", "purple", "scarf" ], "category_items": [ "lion", "cat", "giraffe" ], "other_categories": [ "vehicle", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2392": { "input": "ship, butterfly, elephant, dolphin, orange", "output": "elephant, dolphin, butterfly", "words": [ "ship", "butterfly", "elephant", "dolphin", "orange" ], "category_items": [ "elephant", "dolphin", "butterfly" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "2393": { "input": "fly, spider, cookie, carrot, panda", "output": "fly, spider, panda", "words": [ "fly", "spider", "cookie", "carrot", "panda" ], "category_items": [ "fly", "spider", "panda" ], "other_categories": [ "food" ], "num_category_items": 3, "num_others": 2 }, "2394": { "input": "journalist, bee, swimsuit, spider, gray, cat", "output": "cat, bee, spider", "words": [ "journalist", "bee", "swimsuit", "spider", "gray", "cat" ], "category_items": [ "cat", "bee", "spider" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2395": { "input": "elephant, zebra, skirt, jellyfish, jacket, bat", "output": "bat, jellyfish, zebra, elephant", "words": [ "elephant", "zebra", "skirt", "jellyfish", "jacket", "bat" ], "category_items": [ "bat", "jellyfish", "zebra", "elephant" ], "other_categories": [ "clothing" ], "num_category_items": 4, "num_others": 2 }, "2396": { "input": "rabbit, shirt, elephant, fly, car, lizard, dentist", "output": "elephant, fly, lizard, rabbit", "words": [ "rabbit", "shirt", "elephant", "fly", "car", "lizard", "dentist" ], "category_items": [ "elephant", "fly", "lizard", "rabbit" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2397": { "input": "swan, apple, pink, butterfly, bat, jellyfish", "output": "butterfly, bat, jellyfish, swan", "words": [ "swan", "apple", "pink", "butterfly", "bat", "jellyfish" ], "category_items": [ "butterfly", "bat", "jellyfish", "swan" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 2 }, "2398": { "input": "bee, horse, lion, swan, shirt, ambulance, sausage", "output": "swan, horse, bee, lion", "words": [ "bee", "horse", "lion", "swan", "shirt", "ambulance", "sausage" ], "category_items": [ "swan", "horse", "bee", "lion" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2399": { "input": "orange, elephant, lion, butterfly, lizard, truck", "output": "lion, lizard, butterfly, elephant", "words": [ "orange", "elephant", "lion", "butterfly", "lizard", "truck" ], "category_items": [ "lion", "lizard", "butterfly", "elephant" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 2 }, "2400": { "input": "designer, gold, bee, green, penguin, lizard", "output": "bee, penguin, lizard", "words": [ "designer", "gold", "bee", "green", "penguin", "lizard" ], "category_items": [ "bee", "penguin", "lizard" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 3 }, "2401": { "input": "mouse, gold, kiwi, panda, chicken, cat, bus", "output": "panda, chicken, mouse, cat", "words": [ "mouse", "gold", "kiwi", "panda", "chicken", "cat", "bus" ], "category_items": [ "panda", "chicken", "mouse", "cat" ], "other_categories": [ "vehicle", "food", "color" ], "num_category_items": 4, "num_others": 3 }, "2402": { "input": "mouse, soup, monkey, elephant, donkey, designer", "output": "monkey, elephant, donkey, mouse", "words": [ "mouse", "soup", "monkey", "elephant", "donkey", "designer" ], "category_items": [ "monkey", "elephant", "donkey", "mouse" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 2 }, "2403": { "input": "white, tortoise, sheep, dress, swan, engineer", "output": "swan, tortoise, sheep", "words": [ "white", "tortoise", "sheep", "dress", "swan", "engineer" ], "category_items": [ "swan", "tortoise", "sheep" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2404": { "input": "zebra, monkey, motorway, engineer, chicken", "output": "chicken, zebra, monkey", "words": [ "zebra", "monkey", "motorway", "engineer", "chicken" ], "category_items": [ "chicken", "zebra", "monkey" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "2405": { "input": "shirt, bee, orange, duck, jellyfish, tortoise", "output": "duck, bee, tortoise, jellyfish", "words": [ "shirt", "bee", "orange", "duck", "jellyfish", "tortoise" ], "category_items": [ "duck", "bee", "tortoise", "jellyfish" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2406": { "input": "brown, snail, sheep, plane, car, parrot", "output": "parrot, snail, sheep", "words": [ "brown", "snail", "sheep", "plane", "car", "parrot" ], "category_items": [ "parrot", "snail", "sheep" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "2407": { "input": "penguin, orange, fly, journalist, skirt, frog, sheep", "output": "penguin, sheep, fly, frog", "words": [ "penguin", "orange", "fly", "journalist", "skirt", "frog", "sheep" ], "category_items": [ "penguin", "sheep", "fly", "frog" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2408": { "input": "lizard, scarf, bee, jellyfish, panda, sandwich, pajamas", "output": "bee, jellyfish, panda, lizard", "words": [ "lizard", "scarf", "bee", "jellyfish", "panda", "sandwich", "pajamas" ], "category_items": [ "bee", "jellyfish", "panda", "lizard" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2409": { "input": "pink, lion, fly, donkey, shoe, monkey", "output": "donkey, fly, monkey, lion", "words": [ "pink", "lion", "fly", "donkey", "shoe", "monkey" ], "category_items": [ "donkey", "fly", "monkey", "lion" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2410": { "input": "tortoise, waiter, doctor, spider, cat, dolphin", "output": "cat, tortoise, dolphin, spider", "words": [ "tortoise", "waiter", "doctor", "spider", "cat", "dolphin" ], "category_items": [ "cat", "tortoise", "dolphin", "spider" ], "other_categories": [ "profession" ], "num_category_items": 4, "num_others": 2 }, "2411": { "input": "spaceship, hippo, penguin, train, dolphin, zebra, pink", "output": "zebra, penguin, hippo, dolphin", "words": [ "spaceship", "hippo", "penguin", "train", "dolphin", "zebra", "pink" ], "category_items": [ "zebra", "penguin", "hippo", "dolphin" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "2412": { "input": "olives, ship, donkey, bat, frog", "output": "bat, frog, donkey", "words": [ "olives", "ship", "donkey", "bat", "frog" ], "category_items": [ "bat", "frog", "donkey" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "2413": { "input": "shark, teacher, hippo, butterfly, truck", "output": "hippo, butterfly, shark", "words": [ "shark", "teacher", "hippo", "butterfly", "truck" ], "category_items": [ "hippo", "butterfly", "shark" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "2414": { "input": "donkey, glove, ambulance, panda, sweater, duck", "output": "duck, donkey, panda", "words": [ "donkey", "glove", "ambulance", "panda", "sweater", "duck" ], "category_items": [ "duck", "donkey", "panda" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2415": { "input": "engineer, monkey, doctor, penguin, egg, lizard, fly", "output": "penguin, monkey, lizard, fly", "words": [ "engineer", "monkey", "doctor", "penguin", "egg", "lizard", "fly" ], "category_items": [ "penguin", "monkey", "lizard", "fly" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 3 }, "2416": { "input": "onion, pajamas, lion, donkey, giraffe, octopus", "output": "giraffe, donkey, lion, octopus", "words": [ "onion", "pajamas", "lion", "donkey", "giraffe", "octopus" ], "category_items": [ "giraffe", "donkey", "lion", "octopus" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2417": { "input": "tiger, yoghurt, doctor, car, goat, hippo", "output": "goat, hippo, tiger", "words": [ "tiger", "yoghurt", "doctor", "car", "goat", "hippo" ], "category_items": [ "goat", "hippo", "tiger" ], "other_categories": [ "profession", "food", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "2418": { "input": "jellyfish, carrot, whale, bee, businessman", "output": "bee, jellyfish, whale", "words": [ "jellyfish", "carrot", "whale", "bee", "businessman" ], "category_items": [ "bee", "jellyfish", "whale" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 2 }, "2419": { "input": "fly, purple, watermelon, cat, donkey, snail", "output": "snail, cat, fly, donkey", "words": [ "fly", "purple", "watermelon", "cat", "donkey", "snail" ], "category_items": [ "snail", "cat", "fly", "donkey" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 2 }, "2420": { "input": "hippo, egg, goat, sweater, businesswoman, sheep, bat", "output": "sheep, bat, goat, hippo", "words": [ "hippo", "egg", "goat", "sweater", "businesswoman", "sheep", "bat" ], "category_items": [ "sheep", "bat", "goat", "hippo" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2421": { "input": "bee, milk, dolphin, chicken, potato, camel", "output": "dolphin, camel, bee, chicken", "words": [ "bee", "milk", "dolphin", "chicken", "potato", "camel" ], "category_items": [ "dolphin", "camel", "bee", "chicken" ], "other_categories": [ "food" ], "num_category_items": 4, "num_others": 2 }, "2422": { "input": "nurse, spider, businesswoman, tortoise, green, butterfly", "output": "spider, tortoise, butterfly", "words": [ "nurse", "spider", "businesswoman", "tortoise", "green", "butterfly" ], "category_items": [ "spider", "tortoise", "butterfly" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 3 }, "2423": { "input": "actor, zebra, hat, egg, dolphin, octopus, rabbit", "output": "dolphin, octopus, rabbit, zebra", "words": [ "actor", "zebra", "hat", "egg", "dolphin", "octopus", "rabbit" ], "category_items": [ "dolphin", "octopus", "rabbit", "zebra" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2424": { "input": "trousers, swimsuit, duck, jellyfish, whale, snail, plane", "output": "whale, jellyfish, duck, snail", "words": [ "trousers", "swimsuit", "duck", "jellyfish", "whale", "snail", "plane" ], "category_items": [ "whale", "jellyfish", "duck", "snail" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2425": { "input": "lemon, dolphin, plane, fly, blue, cat", "output": "dolphin, cat, fly", "words": [ "lemon", "dolphin", "plane", "fly", "blue", "cat" ], 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3, "num_others": 2 }, "2447": { "input": "spider, giraffe, brown, vegetable, frog", "output": "giraffe, spider, frog", "words": [ "spider", "giraffe", "brown", "vegetable", "frog" ], "category_items": [ "giraffe", "spider", "frog" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "2448": { "input": "frog, sock, lion, tiger, strawberry, penguin, pear", "output": "penguin, tiger, lion, frog", "words": [ "frog", "sock", "lion", "tiger", "strawberry", "penguin", "pear" ], "category_items": [ "penguin", "tiger", "lion", "frog" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2449": { "input": "designer, hippo, tortoise, donkey, green", "output": "tortoise, hippo, donkey", "words": [ "designer", "hippo", "tortoise", "donkey", "green" ], "category_items": [ "tortoise", "hippo", "donkey" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 2 }, "2450": { "input": "milk, fly, 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"vehicle" ], "num_category_items": 4, "num_others": 3 }, "2469": { "input": "taxi, parrot, engineer, mouse, helicopter, jellyfish", "output": "jellyfish, parrot, mouse", "words": [ "taxi", "parrot", "engineer", "mouse", "helicopter", "jellyfish" ], "category_items": [ "jellyfish", "parrot", "mouse" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "2470": { "input": "mouse, elephant, octopus, pea, jeans, sandwich", "output": "mouse, octopus, elephant", "words": [ "mouse", "elephant", "octopus", "pea", "jeans", "sandwich" ], "category_items": [ "mouse", "octopus", "elephant" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2471": { "input": "gold, shark, doctor, dolphin, rabbit, belt", "output": "shark, rabbit, dolphin", "words": [ "gold", "shark", "doctor", "dolphin", "rabbit", "belt" ], "category_items": [ "shark", "rabbit", "dolphin" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2472": { "input": "giraffe, photographer, bat, octopus, train", "output": "octopus, giraffe, bat", "words": [ "giraffe", "photographer", "bat", "octopus", "train" ], "category_items": [ "octopus", "giraffe", "bat" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "2473": { "input": "glove, whale, hippo, pineapple, snake, sheep, rice", "output": "snake, whale, hippo, sheep", "words": [ "glove", "whale", "hippo", "pineapple", "snake", "sheep", "rice" ], "category_items": [ "snake", "whale", "hippo", "sheep" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2474": { "input": "motorway, chicken, bee, designer, swan", "output": "swan, chicken, bee", "words": [ "motorway", "chicken", "bee", "designer", "swan" ], "category_items": [ "swan", "chicken", "bee" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "2475": { "input": "white, lion, gold, mouse, monkey, orange, sheep", "output": "sheep, lion, monkey, mouse", "words": [ "white", "lion", "gold", "mouse", "monkey", "orange", "sheep" ], "category_items": [ "sheep", "lion", "monkey", "mouse" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 3 }, "2476": { "input": "tiger, car, donkey, swan, panda, strawberry, ambulance", "output": "tiger, panda, swan, donkey", "words": [ "tiger", "car", "donkey", "swan", "panda", "strawberry", "ambulance" ], "category_items": [ "tiger", "panda", "swan", "donkey" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "2477": { "input": "lizard, dress, fly, sausage, designer, duck, jellyfish", "output": "duck, fly, lizard, jellyfish", "words": [ "lizard", "dress", "fly", "sausage", "designer", "duck", "jellyfish" ], "category_items": [ "duck", "fly", "lizard", "jellyfish" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2478": { "input": "jellyfish, lizard, purple, bee, nurse", "output": "jellyfish, lizard, bee", "words": [ "jellyfish", "lizard", "purple", "bee", "nurse" ], "category_items": [ "jellyfish", "lizard", "bee" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 2 }, "2479": { "input": "mechanic, tiger, duck, goat, hippo, dentist, ship", "output": "goat, tiger, duck, hippo", "words": [ "mechanic", "tiger", "duck", "goat", "hippo", "dentist", "ship" ], "category_items": [ "goat", "tiger", "duck", "hippo" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "2480": { "input": "penguin, ambulance, nurse, camel, photographer, octopus", "output": "penguin, camel, octopus", "words": [ "penguin", "ambulance", "nurse", "camel", "photographer", "octopus" ], "category_items": [ "penguin", "camel", "octopus" ], "other_categories": [ "profession", "vehicle" ], 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"input": "lizard, egg, parrot, duck, tortoise, brown", "output": "parrot, tortoise, duck, lizard", "words": [ "lizard", "egg", "parrot", "duck", "tortoise", "brown" ], "category_items": [ "parrot", "tortoise", "duck", "lizard" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 2 }, "2516": { "input": "panda, horse, white, gray, bat, tiger", "output": "tiger, panda, horse, bat", "words": [ "panda", "horse", "white", "gray", "bat", "tiger" ], "category_items": [ "tiger", "panda", "horse", "bat" ], "other_categories": [ "color" ], "num_category_items": 4, "num_others": 2 }, "2517": { "input": "pajamas, dress, bat, donkey, red, hippo", "output": "hippo, donkey, bat", "words": [ "pajamas", "dress", "bat", "donkey", "red", "hippo" ], "category_items": [ "hippo", "donkey", "bat" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2518": { "input": "hippo, horse, egg, goat, yellow", "output": "goat, hippo, horse", "words": [ "hippo", "horse", "egg", "goat", "yellow" ], "category_items": [ "goat", "hippo", "horse" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "2519": { "input": "designer, sheep, hippo, duck, elephant, orange", "output": "hippo, duck, sheep, elephant", "words": [ "designer", "sheep", "hippo", "duck", "elephant", "orange" ], "category_items": [ "hippo", "duck", "sheep", "elephant" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 2 }, "2520": { "input": "purple, dolphin, tortoise, shark, motorway, spaceship", "output": "dolphin, shark, tortoise", "words": [ "purple", "dolphin", "tortoise", "shark", "motorway", "spaceship" ], "category_items": [ "dolphin", "shark", "tortoise" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "2521": { "input": "cookie, camel, butterfly, bee, dress", "output": "butterfly, camel, bee", "words": [ "cookie", "camel", "butterfly", "bee", "dress" ], "category_items": [ "butterfly", "camel", "bee" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2522": { "input": "penguin, goat, ice cream, shirt, hippo, camel", "output": "penguin, hippo, camel, goat", "words": [ "penguin", "goat", "ice cream", "shirt", "hippo", "camel" ], "category_items": [ "penguin", "hippo", "camel", "goat" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2523": { "input": "green, panda, butterfly, gold, jellyfish, hippo", "output": "jellyfish, butterfly, panda, hippo", "words": [ "green", "panda", "butterfly", "gold", "jellyfish", "hippo" ], "category_items": [ "jellyfish", "butterfly", "panda", "hippo" ], "other_categories": [ "color" ], "num_category_items": 4, "num_others": 2 }, "2524": { "input": "jellyfish, taxi, bee, giraffe, ambulance, vegetable", "output": "bee, jellyfish, giraffe", "words": [ "jellyfish", "taxi", "bee", "giraffe", "ambulance", "vegetable" ], "category_items": [ "bee", "jellyfish", "giraffe" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "2525": { "input": "parrot, bee, white, scarf, snake, tortoise", "output": "snake, bee, parrot, tortoise", "words": [ "parrot", "bee", "white", "scarf", "snake", "tortoise" ], "category_items": [ "snake", "bee", "parrot", "tortoise" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2526": { "input": "cat, sheep, hat, egg, gray, rabbit, chicken", "output": "cat, rabbit, chicken, sheep", "words": [ "cat", "sheep", "hat", "egg", "gray", "rabbit", "chicken" ], "category_items": [ "cat", "rabbit", "chicken", "sheep" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2527": { "input": "jacket, tortoise, red, pasta, penguin, camel, zebra", "output": "penguin, zebra, tortoise, camel", "words": [ "jacket", "tortoise", "red", "pasta", "penguin", "camel", "zebra" ], "category_items": [ "penguin", "zebra", "tortoise", "camel" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2528": { "input": "snake, taxi, monkey, bat, helicopter", "output": "snake, bat, monkey", "words": [ "snake", "taxi", "monkey", "bat", "helicopter" ], "category_items": [ "snake", "bat", "monkey" ], "other_categories": [ "vehicle" ], "num_category_items": 3, "num_others": 2 }, "2529": { "input": "parrot, motorway, camel, potato, horse, lion", "output": "horse, parrot, camel, lion", "words": [ "parrot", "motorway", "camel", "potato", "horse", "lion" ], "category_items": [ "horse", "parrot", "camel", "lion" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2530": { "input": "fly, lizard, tortoise, burger, helicopter, chicken, gold", "output": "lizard, fly, tortoise, chicken", "words": [ "fly", "lizard", "tortoise", "burger", "helicopter", "chicken", "gold" ], "category_items": [ "lizard", "fly", "tortoise", "chicken" ], "other_categories": [ "food", "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "2531": { "input": "butterfly, gray, cat, goat, engineer, giraffe, truck", "output": "giraffe, cat, butterfly, goat", "words": [ "butterfly", "gray", "cat", "goat", "engineer", "giraffe", "truck" ], "category_items": [ "giraffe", "cat", "butterfly", "goat" ], "other_categories": [ "profession", "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "2532": { "input": "rice, bee, snail, artist, businessman, donkey, tortoise", "output": "snail, donkey, bee, tortoise", "words": [ "rice", "bee", "snail", "artist", "businessman", "donkey", "tortoise" ], "category_items": [ "snail", "donkey", "bee", "tortoise" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 3 }, "2533": { "input": "cat, penguin, camel, white, journalist", "output": "camel, penguin, cat", "words": [ "cat", "penguin", "camel", "white", "journalist" ], "category_items": [ "camel", "penguin", "cat" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 2 }, "2534": { "input": "bus, horse, snail, lizard, potato, panda", "output": "lizard, snail, panda, horse", "words": [ "bus", "horse", "snail", "lizard", "potato", "panda" ], "category_items": [ "lizard", "snail", "panda", "horse" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2535": { "input": "butterfly, swan, gold, belt, helicopter, snake", "output": "swan, butterfly, snake", "words": [ "butterfly", "swan", "gold", "belt", "helicopter", "snake" ], "category_items": [ "swan", "butterfly", "snake" ], "other_categories": [ "vehicle", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2536": { "input": "bat, whale, goat, tractor, elephant, businessman", "output": "goat, whale, bat, elephant", "words": [ "bat", "whale", "goat", "tractor", "elephant", "businessman" ], "category_items": [ "goat", "whale", "bat", "elephant" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2537": { "input": "frog, octopus, motorway, whale, tiger, ambulance", "output": "tiger, frog, octopus, whale", "words": [ "frog", "octopus", "motorway", "whale", "tiger", "ambulance" ], "category_items": [ "tiger", "frog", "octopus", "whale" ], "other_categories": [ "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2538": { "input": "blue, goat, hippo, trousers, mouse", "output": "goat, hippo, mouse", "words": [ "blue", "goat", "hippo", "trousers", "mouse" ], "category_items": [ "goat", "hippo", "mouse" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2539": { "input": "dolphin, elephant, tortoise, swimsuit, businessman, nurse, monkey", "output": "elephant, dolphin, tortoise, monkey", "words": [ "dolphin", "elephant", "tortoise", "swimsuit", "businessman", "nurse", "monkey" ], "category_items": [ "elephant", "dolphin", "tortoise", "monkey" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2540": { "input": "snail, fly, purple, frog, pasta, sheep, brown", "output": "sheep, frog, snail, fly", "words": [ "snail", "fly", "purple", "frog", "pasta", "sheep", "brown" ], "category_items": [ "sheep", "frog", "snail", "fly" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 3 }, "2541": { "input": "tiger, yellow, lion, milk, hippo", "output": "hippo, tiger, lion", "words": [ "tiger", "yellow", "lion", "milk", "hippo" ], "category_items": [ "hippo", "tiger", "lion" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "2542": { "input": "elephant, fly, swan, yoghurt, brown, zebra", "output": "fly, swan, elephant, zebra", "words": [ "elephant", "fly", "swan", "yoghurt", "brown", "zebra" ], "category_items": [ "fly", "swan", "elephant", "zebra" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 2 }, "2543": { "input": "cat, lizard, pink, motorway, camel, bat", "output": "camel, lizard, cat, bat", "words": [ "cat", "lizard", "pink", "motorway", "camel", "bat" ], "category_items": [ "camel", "lizard", "cat", "bat" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 2 }, "2544": { "input": "cat, chicken, truck, fly, lizard, ship", "output": "chicken, lizard, cat, fly", "words": [ "cat", "chicken", "truck", "fly", "lizard", "ship" ], "category_items": [ "chicken", "lizard", "cat", "fly" ], "other_categories": [ "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2545": { "input": "tiger, rabbit, olives, frog, camel, train", "output": "frog, rabbit, tiger, camel", "words": [ "tiger", "rabbit", "olives", "frog", "camel", "train" ], "category_items": [ "frog", "rabbit", "tiger", "camel" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2546": { "input": "fly, pear, mouse, motorway, lion", "output": "mouse, fly, lion", "words": [ "fly", "pear", "mouse", "motorway", "lion" ], "category_items": [ "mouse", "fly", "lion" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "2547": { "input": "goat, motorway, jacket, jellyfish, bat", "output": "goat, jellyfish, bat", "words": [ "goat", "motorway", "jacket", "jellyfish", "bat" ], "category_items": [ "goat", "jellyfish", "bat" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2548": { "input": "dentist, duck, green, parrot, whale", "output": "whale, duck, parrot", "words": [ "dentist", "duck", "green", "parrot", "whale" ], "category_items": [ "whale", "duck", "parrot" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 2 }, "2549": { "input": "giraffe, waiter, car, whale, elephant", "output": "whale, elephant, giraffe", "words": [ 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"cat", "orange", "donkey", "jellyfish", "teacher" ], "category_items": [ "donkey", "jellyfish", "cat" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 2 }, "2556": { "input": "pink, lion, belt, cat, teacher, zebra, dolphin", "output": "dolphin, lion, zebra, cat", "words": [ "pink", "lion", "belt", "cat", "teacher", "zebra", "dolphin" ], "category_items": [ "dolphin", "lion", "zebra", "cat" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2557": { "input": "dentist, horse, chicken, tiger, artist, elephant", "output": "elephant, chicken, tiger, horse", "words": [ "dentist", "horse", "chicken", "tiger", "artist", "elephant" ], "category_items": [ "elephant", "chicken", "tiger", "horse" ], "other_categories": [ "profession" ], "num_category_items": 4, "num_others": 2 }, "2558": { "input": "lion, pajamas, yellow, giraffe, ambulance, fly", "output": "fly, giraffe, lion", "words": [ "lion", 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"butterfly", "rabbit" ], "category_items": [ "horse", "monkey", "rabbit", "butterfly" ], "other_categories": [ "food" ], "num_category_items": 4, "num_others": 2 }, "2562": { "input": "zebra, camel, gold, penguin, glove, sheep, truck", "output": "zebra, sheep, camel, penguin", "words": [ "zebra", "camel", "gold", "penguin", "glove", "sheep", "truck" ], "category_items": [ "zebra", "sheep", "camel", "penguin" ], "other_categories": [ "vehicle", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2563": { "input": "milk, bus, horse, panda, spider", "output": "horse, spider, panda", "words": [ "milk", "bus", "horse", "panda", "spider" ], "category_items": [ "horse", "spider", "panda" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "2564": { "input": "butterfly, bat, car, fly, swan, onion", "output": "fly, butterfly, bat, swan", "words": [ "butterfly", "bat", "car", "fly", "swan", "onion" ], "category_items": [ "fly", "butterfly", "bat", "swan" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2565": { "input": "snake, lion, carrot, green, rabbit, penguin", "output": "lion, penguin, rabbit, snake", "words": [ "snake", "lion", "carrot", "green", "rabbit", "penguin" ], "category_items": [ "lion", "penguin", "rabbit", "snake" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 2 }, "2566": { "input": "tractor, swan, vegetable, horse, tiger, penguin", "output": "swan, penguin, tiger, horse", "words": [ "tractor", "swan", "vegetable", "horse", "tiger", "penguin" ], "category_items": [ "swan", "penguin", "tiger", "horse" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2567": { "input": "photographer, elephant, goat, lion, mechanic, donkey", "output": "lion, goat, elephant, donkey", "words": [ "photographer", "elephant", "goat", "lion", "mechanic", "donkey" ], "category_items": [ "lion", "goat", "elephant", "donkey" ], "other_categories": [ "profession" ], "num_category_items": 4, "num_others": 2 }, "2568": { "input": "bee, mango, butterfly, horse, jeans", "output": "butterfly, horse, bee", "words": [ "bee", "mango", "butterfly", "horse", "jeans" ], "category_items": [ "butterfly", "horse", "bee" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2569": { "input": "cat, ambulance, blue, gray, lizard, sheep, zebra", "output": "sheep, lizard, cat, zebra", "words": [ "cat", "ambulance", "blue", "gray", "lizard", "sheep", "zebra" ], "category_items": [ "sheep", "lizard", "cat", "zebra" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "2570": { "input": "mouse, businesswoman, glove, cat, brown, dolphin", "output": "mouse, dolphin, cat", "words": [ "mouse", "businesswoman", "glove", "cat", "brown", "dolphin" ], "category_items": [ "mouse", "dolphin", "cat" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2571": { "input": "rabbit, tiger, sausage, duck, truck", "output": "tiger, rabbit, duck", "words": [ "rabbit", "tiger", "sausage", "duck", "truck" ], "category_items": [ "tiger", "rabbit", "duck" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "2572": { "input": "frog, jellyfish, tiger, glove, elephant, engineer", "output": "jellyfish, elephant, tiger, frog", "words": [ "frog", "jellyfish", "tiger", "glove", "elephant", "engineer" ], "category_items": [ "jellyfish", "elephant", "tiger", "frog" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2573": { "input": "ambulance, egg, chicken, dolphin, monkey, pancake", "output": "chicken, dolphin, monkey", "words": [ "ambulance", "egg", "chicken", "dolphin", "monkey", "pancake" ], "category_items": [ "chicken", "dolphin", "monkey" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "2574": { "input": "swan, monkey, engineer, cat, glove, octopus", "output": "octopus, swan, monkey, cat", "words": [ "swan", "monkey", "engineer", "cat", "glove", "octopus" ], "category_items": [ "octopus", "swan", "monkey", "cat" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2575": { "input": "spider, butterfly, cookie, bat, penguin, bus, skirt", "output": "bat, butterfly, penguin, spider", "words": [ "spider", "butterfly", "cookie", "bat", "penguin", "bus", "skirt" ], "category_items": [ "bat", "butterfly", "penguin", "spider" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2576": { "input": "whale, sock, spider, bee, gold, businesswoman", "output": "whale, bee, spider", "words": [ "whale", "sock", "spider", "bee", "gold", "businesswoman" ], "category_items": [ "whale", "bee", "spider" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2577": { "input": "octopus, elephant, jellyfish, blue, sweater, cook", "output": "elephant, octopus, jellyfish", "words": [ "octopus", "elephant", "jellyfish", "blue", "sweater", "cook" ], "category_items": [ "elephant", "octopus", "jellyfish" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2578": { "input": "tortoise, rabbit, swimsuit, hat, parrot", "output": "rabbit, tortoise, parrot", "words": [ "tortoise", "rabbit", "swimsuit", "hat", "parrot" ], "category_items": [ "rabbit", "tortoise", "parrot" ], "other_categories": [ "clothing" ], "num_category_items": 3, "num_others": 2 }, "2579": { "input": "dolphin, tortoise, giraffe, shark, truck, orange", "output": "giraffe, dolphin, shark, tortoise", "words": [ "dolphin", "tortoise", "giraffe", "shark", "truck", "orange" ], "category_items": [ "giraffe", "dolphin", "shark", "tortoise" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2580": { "input": "snake, photographer, panda, bee, mechanic, fly, shoe", "output": "fly, bee, snake, panda", "words": [ "snake", "photographer", "panda", "bee", "mechanic", "fly", "shoe" ], "category_items": [ "fly", "bee", "snake", "panda" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2581": { "input": "giraffe, shoe, duck, teacher, donkey, monkey", "output": "monkey, donkey, duck, giraffe", "words": [ "giraffe", "shoe", "duck", "teacher", "donkey", "monkey" ], "category_items": [ "monkey", "donkey", "duck", "giraffe" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2582": { "input": "frog, spider, hippo, yellow, waiter, tortoise, orange", "output": "spider, hippo, tortoise, frog", "words": [ "frog", "spider", "hippo", "yellow", "waiter", "tortoise", "orange" ], "category_items": [ "spider", "hippo", "tortoise", "frog" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 3 }, "2583": { "input": "actor, salad, purple, parrot, donkey, mouse", "output": "donkey, mouse, parrot", "words": [ "actor", "salad", "purple", "parrot", "donkey", "mouse" ], "category_items": [ "donkey", "mouse", "parrot" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 3, "num_others": 3 }, "2584": { "input": "trousers, penguin, bee, tractor, snake", "output": "bee, penguin, snake", "words": [ "trousers", "penguin", "bee", "tractor", "snake" ], "category_items": [ "bee", "penguin", "snake" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2585": { "input": "frog, shark, helicopter, swimsuit, rabbit, horse", "output": "horse, shark, rabbit, frog", "words": [ "frog", "shark", "helicopter", "swimsuit", "rabbit", "horse" ], "category_items": [ "horse", "shark", "rabbit", "frog" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2586": { "input": "rabbit, lizard, horse, zebra, sweater, ambulance, yellow", "output": "zebra, lizard, rabbit, horse", "words": [ "rabbit", "lizard", "horse", "zebra", "sweater", "ambulance", "yellow" ], "category_items": [ "zebra", "lizard", "rabbit", "horse" ], "other_categories": [ "vehicle", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2587": { "input": "businessman, waiter, bat, designer, duck, monkey", "output": "bat, monkey, duck", "words": [ "businessman", "waiter", "bat", "designer", "duck", "monkey" ], "category_items": [ "bat", "monkey", "duck" ], "other_categories": [ "profession" ], "num_category_items": 3, "num_others": 3 }, "2588": { "input": "duck, parrot, snail, tractor, plane", "output": "snail, parrot, duck", "words": [ "duck", "parrot", "snail", "tractor", "plane" ], "category_items": [ "snail", "parrot", "duck" ], "other_categories": [ "vehicle" ], "num_category_items": 3, "num_others": 2 }, "2589": { "input": "white, butterfly, donkey, bee, whale, brown, yellow", "output": "donkey, bee, butterfly, whale", "words": [ "white", "butterfly", "donkey", "bee", "whale", "brown", "yellow" ], "category_items": [ "donkey", "bee", "butterfly", "whale" ], "other_categories": [ "color" ], "num_category_items": 4, "num_others": 3 }, "2590": { "input": "jeans, camel, octopus, trousers, giraffe, artist, parrot", "output": "giraffe, parrot, camel, octopus", "words": [ "jeans", "camel", "octopus", "trousers", "giraffe", "artist", "parrot" ], "category_items": [ "giraffe", "parrot", "camel", "octopus" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2591": { "input": "rabbit, cat, penguin, shirt, sweater, lion", "output": "rabbit, penguin, cat, lion", "words": [ "rabbit", "cat", "penguin", "shirt", "sweater", "lion" ], "category_items": [ "rabbit", "penguin", "cat", "lion" ], "other_categories": [ "clothing" ], "num_category_items": 4, "num_others": 2 }, "2592": { "input": "actor, panda, sheep, chicken, bat, yellow, banana", "output": "bat, sheep, chicken, panda", "words": [ "actor", "panda", "sheep", "chicken", "bat", "yellow", "banana" ], "category_items": [ "bat", "sheep", "chicken", "panda" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 4, "num_others": 3 }, "2593": { "input": "giraffe, tortoise, swimsuit, ambulance, octopus, elephant", "output": "elephant, giraffe, tortoise, octopus", "words": [ "giraffe", "tortoise", "swimsuit", "ambulance", "octopus", "elephant" ], "category_items": [ "elephant", "giraffe", "tortoise", "octopus" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2594": { "input": "scarf, tiger, orange, duck, donkey, hippo", "output": "hippo, donkey, tiger, duck", "words": [ "scarf", "tiger", "orange", "duck", "donkey", "hippo" ], "category_items": [ "hippo", "donkey", "tiger", "duck" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2595": { "input": "vegetable, milk, bee, sheep, bat, candy", "output": "bat, sheep, bee", "words": [ "vegetable", "milk", "bee", "sheep", "bat", "candy" ], "category_items": [ "bat", "sheep", "bee" ], "other_categories": [ "food" ], "num_category_items": 3, "num_others": 3 }, "2596": { "input": "lion, yellow, pajamas, zebra, parrot, mouse, spaceship", "output": "parrot, zebra, mouse, lion", "words": [ "lion", "yellow", "pajamas", "zebra", "parrot", "mouse", "spaceship" ], "category_items": [ "parrot", "zebra", "mouse", "lion" ], "other_categories": [ "vehicle", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2597": { "input": "elephant, shirt, duck, whale, dentist, car", "output": "elephant, duck, whale", "words": [ "elephant", "shirt", "duck", "whale", "dentist", "car" ], "category_items": [ "elephant", "duck", "whale" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2598": { "input": "monkey, snail, octopus, businessman, gold", "output": "monkey, octopus, snail", "words": [ "monkey", "snail", "octopus", "businessman", "gold" ], "category_items": [ "monkey", "octopus", "snail" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 2 }, "2599": { "input": "meatballs, glove, octopus, cat, tortoise, trousers, fly", "output": "fly, tortoise, cat, octopus", "words": [ "meatballs", "glove", "octopus", "cat", "tortoise", "trousers", "fly" ], "category_items": [ "fly", "tortoise", "cat", "octopus" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2600": { "input": "chicken, pajamas, designer, zebra, lion", "output": "lion, chicken, zebra", "words": [ "chicken", "pajamas", "designer", "zebra", "lion" ], "category_items": [ "lion", "chicken", "zebra" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2601": { "input": "jellyfish, actor, butterfly, penguin, engineer, whale", "output": "penguin, jellyfish, butterfly, whale", "words": [ "jellyfish", "actor", "butterfly", "penguin", "engineer", "whale" ], "category_items": [ "penguin", "jellyfish", "butterfly", "whale" ], "other_categories": [ "profession" ], "num_category_items": 4, "num_others": 2 }, "2602": { "input": "meatballs, penguin, sheep, dentist, gray, duck, jellyfish", "output": "sheep, duck, penguin, jellyfish", "words": [ "meatballs", "penguin", "sheep", "dentist", "gray", "duck", "jellyfish" ], "category_items": [ "sheep", "duck", "penguin", "jellyfish" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 4, "num_others": 3 }, "2603": { "input": "purple, lizard, ship, yellow, whale, fly, donkey", "output": "fly, donkey, whale, lizard", "words": [ "purple", "lizard", "ship", "yellow", "whale", "fly", "donkey" ], "category_items": [ "fly", "donkey", "whale", "lizard" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "2604": { "input": "dolphin, egg, gold, dress, tortoise, jellyfish", "output": "tortoise, dolphin, jellyfish", "words": [ "dolphin", "egg", "gold", "dress", "tortoise", "jellyfish" ], "category_items": [ "tortoise", "dolphin", "jellyfish" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2605": { "input": "bus, goat, train, snake, lion, fly", "output": "snake, lion, fly, goat", "words": [ "bus", "goat", "train", "snake", "lion", "fly" ], "category_items": [ "snake", "lion", "fly", "goat" ], "other_categories": [ "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2606": { "input": "bus, mouse, penguin, zebra, sock", "output": "mouse, penguin, zebra", "words": [ "bus", "mouse", "penguin", "zebra", "sock" ], "category_items": [ "mouse", "penguin", "zebra" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2607": { "input": "teacher, horse, tiger, snail, butterfly, yellow, designer", "output": "butterfly, tiger, horse, snail", "words": [ "teacher", "horse", "tiger", "snail", "butterfly", "yellow", "designer" ], "category_items": [ "butterfly", "tiger", "horse", "snail" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 3 }, "2608": { "input": "dolphin, ship, horse, lion, designer, actor", "output": "dolphin, horse, lion", "words": [ "dolphin", "ship", "horse", "lion", "designer", "actor" ], "category_items": [ "dolphin", "horse", "lion" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "2609": { "input": "sweater, snail, lizard, yellow, shoe, octopus, dolphin", "output": "lizard, dolphin, octopus, snail", "words": [ "sweater", "snail", "lizard", "yellow", "shoe", "octopus", "dolphin" ], "category_items": [ "lizard", "dolphin", "octopus", "snail" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2610": { "input": "horse, whale, camel, lizard, glove, belt", "output": "horse, lizard, camel, whale", "words": [ "horse", "whale", "camel", "lizard", "glove", "belt" ], "category_items": [ "horse", "lizard", "camel", "whale" ], "other_categories": [ "clothing" ], "num_category_items": 4, "num_others": 2 }, "2611": { "input": "lion, bee, kiwi, rabbit, pajamas", "output": "lion, bee, rabbit", "words": [ "lion", "bee", "kiwi", "rabbit", "pajamas" ], "category_items": [ "lion", "bee", "rabbit" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2612": { "input": "ambulance, strawberry, jellyfish, gold, octopus, hippo", "output": "hippo, jellyfish, octopus", "words": [ "ambulance", "strawberry", "jellyfish", "gold", "octopus", "hippo" ], "category_items": [ "hippo", "jellyfish", "octopus" ], "other_categories": [ "vehicle", "food", "color" ], "num_category_items": 3, "num_others": 3 }, "2613": { "input": "orange, frog, pasta, monkey, spider", "output": "monkey, spider, frog", "words": [ "orange", "frog", "pasta", "monkey", "spider" ], "category_items": [ "monkey", "spider", "frog" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "2614": { "input": "taxi, giraffe, chicken, snake, bean, zebra", "output": "zebra, giraffe, chicken, snake", "words": [ "taxi", "giraffe", "chicken", "snake", "bean", "zebra" ], "category_items": [ "zebra", "giraffe", "chicken", "snake" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2615": { "input": "elephant, mouse, gold, ship, jellyfish, milk, snake", "output": "mouse, snake, jellyfish, elephant", "words": [ "elephant", "mouse", "gold", "ship", "jellyfish", "milk", "snake" ], "category_items": [ "mouse", "snake", "jellyfish", "elephant" ], "other_categories": [ "food", "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "2616": { "input": "hippo, swan, actor, shoe, egg, whale", "output": "whale, hippo, swan", "words": [ "hippo", "swan", "actor", "shoe", "egg", "whale" ], "category_items": [ "whale", "hippo", "swan" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2617": { "input": "monkey, pink, designer, butterfly, panda, octopus", "output": "butterfly, octopus, monkey, panda", "words": [ "monkey", "pink", "designer", "butterfly", "panda", "octopus" ], "category_items": [ "butterfly", "octopus", "monkey", "panda" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 2 }, "2618": { "input": "elephant, jellyfish, shoe, pink, red, hippo", "output": "jellyfish, hippo, elephant", "words": [ "elephant", "jellyfish", "shoe", "pink", "red", "hippo" ], "category_items": [ "jellyfish", "hippo", "elephant" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2619": { "input": "whale, pajamas, ambulance, octopus, duck, lemon", "output": "duck, whale, octopus", "words": [ "whale", "pajamas", "ambulance", "octopus", "duck", "lemon" ], "category_items": [ "duck", "whale", "octopus" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2620": { "input": "bat, cat, green, car, snake, meatballs, spider", "output": "snake, cat, spider, bat", "words": [ "bat", "cat", "green", "car", "snake", "meatballs", "spider" ], "category_items": [ "snake", "cat", "spider", "bat" ], "other_categories": [ "food", "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "2621": { "input": "bee, chicken, photographer, shoe, whale", "output": "whale, chicken, bee", "words": [ "bee", "chicken", "photographer", "shoe", "whale" ], "category_items": [ "whale", "chicken", "bee" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2622": { "input": "tortoise, cat, tiger, frog, artist, photographer", "output": "cat, tortoise, tiger, frog", "words": [ "tortoise", "cat", "tiger", "frog", "artist", "photographer" ], "category_items": [ "cat", "tortoise", "tiger", "frog" ], "other_categories": [ "profession" ], "num_category_items": 4, "num_others": 2 }, "2623": { "input": "shirt, fly, tortoise, hat, cat, tomato, shark", "output": "cat, fly, tortoise, shark", "words": [ "shirt", "fly", "tortoise", "hat", "cat", "tomato", "shark" ], "category_items": [ "cat", "fly", "tortoise", "shark" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2624": { "input": "goat, pajamas, scarf, hippo, egg, whale", "output": "hippo, whale, goat", "words": [ "goat", "pajamas", "scarf", "hippo", "egg", "whale" ], "category_items": [ "hippo", "whale", "goat" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2625": { "input": "jacket, yellow, donkey, shirt, cat, snake", "output": "cat, donkey, snake", "words": [ "jacket", "yellow", "donkey", "shirt", "cat", "snake" ], "category_items": [ "cat", "donkey", "snake" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2626": { "input": "motorway, pear, jacket, duck, jellyfish, hippo", "output": "duck, hippo, jellyfish", "words": [ "motorway", "pear", "jacket", "duck", "jellyfish", "hippo" ], "category_items": [ "duck", "hippo", "jellyfish" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2627": { "input": "panda, yellow, duck, egg, goat", "output": "goat, duck, panda", "words": [ "panda", "yellow", "duck", "egg", "goat" ], "category_items": [ "goat", "duck", "panda" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "2628": { "input": "swan, cat, snail, businesswoman, panda, bus", "output": "panda, snail, swan, cat", "words": [ "swan", "cat", "snail", "businesswoman", "panda", "bus" ], "category_items": [ "panda", "snail", "swan", "cat" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2629": { "input": "donkey, white, hat, elephant, parrot, helicopter", "output": "elephant, parrot, donkey", "words": [ "donkey", "white", "hat", "elephant", "parrot", "helicopter" ], "category_items": [ "elephant", "parrot", "donkey" ], "other_categories": [ "vehicle", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2630": { "input": "monkey, gray, butterfly, dolphin, mouse, trousers, brown", "output": "butterfly, monkey, mouse, dolphin", "words": [ "monkey", "gray", "butterfly", "dolphin", "mouse", "trousers", "brown" ], "category_items": [ "butterfly", "monkey", "mouse", "dolphin" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2631": { "input": "swan, artist, cat, sheep, parrot, nurse, scarf", "output": "cat, parrot, swan, sheep", "words": [ "swan", "artist", "cat", "sheep", "parrot", "nurse", "scarf" ], "category_items": [ "cat", "parrot", "swan", "sheep" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2632": { "input": "businessman, snail, white, shoe, tiger, duck", "output": "duck, snail, tiger", "words": [ "businessman", "snail", "white", "shoe", "tiger", "duck" ], "category_items": [ "duck", "snail", "tiger" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2633": { "input": "sock, butterfly, nurse, hippo, pajamas, frog", "output": "butterfly, hippo, frog", "words": [ "sock", "butterfly", "nurse", "hippo", "pajamas", "frog" ], "category_items": [ "butterfly", "hippo", "frog" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2634": { "input": "pea, elephant, hat, fly, truck, jellyfish, horse", "output": "fly, elephant, horse, jellyfish", "words": [ "pea", "elephant", "hat", "fly", "truck", "jellyfish", "horse" ], "category_items": [ "fly", "elephant", "horse", "jellyfish" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2635": { "input": "hippo, camel, donkey, lemon, purple", "output": "camel, hippo, donkey", "words": [ "hippo", "camel", "donkey", "lemon", "purple" ], "category_items": [ "camel", "hippo", "donkey" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "2636": { "input": "fly, sweater, horse, cat, brown, teacher", "output": "fly, cat, horse", "words": [ "fly", "sweater", "horse", "cat", "brown", "teacher" ], "category_items": [ "fly", "cat", "horse" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2637": { "input": "donkey, butterfly, chicken, jeans, panda, glove, pink", "output": "butterfly, panda, donkey, chicken", "words": [ "donkey", "butterfly", "chicken", "jeans", "panda", "glove", "pink" ], "category_items": [ "butterfly", "panda", "donkey", "chicken" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2638": { "input": "frog, pink, tortoise, whale, orange, truck", "output": "frog, whale, tortoise", "words": [ "frog", "pink", "tortoise", "whale", "orange", "truck" ], "category_items": [ "frog", "whale", "tortoise" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "2639": { "input": "rice, car, octopus, teacher, snail, mouse", "output": "snail, octopus, mouse", "words": [ "rice", "car", "octopus", "teacher", "snail", "mouse" ], "category_items": [ "snail", "octopus", "mouse" ], "other_categories": [ "profession", "food", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "2640": { "input": "hat, hippo, lion, rabbit, zebra, tractor", "output": "rabbit, lion, zebra, hippo", "words": [ "hat", "hippo", "lion", "rabbit", "zebra", "tractor" ], "category_items": [ "rabbit", "lion", "zebra", "hippo" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2641": { "input": "yellow, blue, goat, parrot, waiter, dolphin", "output": "goat, parrot, dolphin", "words": [ "yellow", "blue", "goat", "parrot", "waiter", "dolphin" ], "category_items": [ "goat", "parrot", "dolphin" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 3 }, "2642": { "input": "helicopter, doctor, goat, spider, snail, glove, chicken", "output": "goat, spider, chicken, snail", "words": [ "helicopter", "doctor", "goat", "spider", "snail", "glove", "chicken" ], "category_items": [ "goat", "spider", "chicken", "snail" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2643": { "input": "glove, duck, butterfly, truck, penguin, bee", "output": "butterfly, penguin, duck, bee", "words": [ "glove", "duck", "butterfly", "truck", "penguin", "bee" ], "category_items": [ "butterfly", "penguin", "duck", "bee" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2644": { "input": "plane, parrot, zebra, jacket, frog, cat, engineer", "output": "zebra, frog, cat, parrot", "words": [ "plane", "parrot", "zebra", "jacket", "frog", "cat", "engineer" ], "category_items": [ "zebra", "frog", "cat", "parrot" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2645": { "input": "fly, snake, tortoise, jeans, lizard, gold", "output": "snake, tortoise, lizard, fly", "words": [ "fly", "snake", "tortoise", "jeans", "lizard", "gold" ], "category_items": [ "snake", "tortoise", "lizard", "fly" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2646": { "input": "frog, purple, tortoise, truck, salad, lizard", "output": "lizard, frog, tortoise", "words": [ "frog", "purple", "tortoise", "truck", "salad", "lizard" ], "category_items": [ "lizard", "frog", "tortoise" ], "other_categories": [ "food", "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "2647": { "input": "businessman, whale, giraffe, businesswoman, monkey, designer", "output": "giraffe, whale, monkey", "words": [ "businessman", "whale", "giraffe", "businesswoman", "monkey", "designer" ], "category_items": [ "giraffe", "whale", "monkey" ], "other_categories": [ "profession" ], "num_category_items": 3, "num_others": 3 }, "2648": { "input": "dolphin, mouse, tiger, ambulance, cook, butterfly, glove", "output": "butterfly, tiger, mouse, dolphin", "words": [ "dolphin", "mouse", "tiger", "ambulance", "cook", "butterfly", "glove" ], "category_items": [ "butterfly", "tiger", "mouse", "dolphin" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2649": { "input": "sheep, swan, mechanic, truck, butterfly, kiwi, whale", "output": "sheep, swan, whale, butterfly", "words": [ "sheep", "swan", "mechanic", "truck", "butterfly", "kiwi", "whale" ], "category_items": [ "sheep", "swan", "whale", "butterfly" ], "other_categories": [ "profession", "food", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "2650": { "input": "snail, elephant, lemon, parrot, snake, pajamas, ambulance", "output": "elephant, snail, snake, parrot", "words": [ "snail", "elephant", "lemon", "parrot", "snake", "pajamas", "ambulance" ], "category_items": [ "elephant", "snail", "snake", "parrot" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2651": { "input": "actor, goat, giraffe, penguin, belt", "output": "goat, giraffe, penguin", "words": [ "actor", "goat", "giraffe", "penguin", "belt" ], "category_items": [ "goat", "giraffe", "penguin" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2652": { "input": "spider, orange, chicken, rabbit, camel, sock, hat", "output": "chicken, camel, rabbit, spider", "words": [ "spider", "orange", "chicken", "rabbit", "camel", "sock", "hat" ], "category_items": [ "chicken", "camel", "rabbit", "spider" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2653": { "input": "doctor, frog, monkey, hippo, mouse, mango", "output": "frog, mouse, hippo, monkey", "words": [ "doctor", "frog", "monkey", "hippo", "mouse", "mango" ], "category_items": [ "frog", "mouse", "hippo", "monkey" ], "other_categories": [ "profession", "food" ], "num_category_items": 4, "num_others": 2 }, "2654": { "input": "zebra, donkey, elephant, spaceship, cat, glove", "output": "elephant, zebra, donkey, cat", "words": [ "zebra", "donkey", "elephant", "spaceship", "cat", "glove" ], "category_items": [ "elephant", "zebra", "donkey", "cat" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2655": { "input": "bat, chicken, ambulance, businessman, hippo, ship", "output": "hippo, bat, chicken", "words": [ "bat", "chicken", "ambulance", "businessman", "hippo", "ship" ], "category_items": [ "hippo", "bat", "chicken" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "2656": { "input": "truck, zebra, pear, penguin, brown, duck", "output": "penguin, duck, zebra", "words": [ "truck", "zebra", "pear", "penguin", "brown", "duck" ], "category_items": [ "penguin", "duck", "zebra" ], "other_categories": [ "food", "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "2657": { "input": "cat, zebra, pink, doctor, snail", "output": "cat, snail, zebra", "words": [ "cat", "zebra", "pink", "doctor", "snail" ], "category_items": [ "cat", "snail", "zebra" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 2 }, "2658": { "input": "giraffe, candy, penguin, jacket, hippo", "output": "penguin, hippo, giraffe", "words": [ "giraffe", "candy", "penguin", "jacket", "hippo" ], "category_items": [ "penguin", "hippo", "giraffe" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2659": { "input": "olives, snail, sheep, chicken, nurse, rabbit, dress", "output": "chicken, rabbit, snail, sheep", "words": [ "olives", "snail", "sheep", "chicken", "nurse", "rabbit", "dress" ], "category_items": [ "chicken", "rabbit", "snail", "sheep" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2660": { "input": "spider, spaceship, snail, jeans, yellow, goat, donkey", "output": "goat, donkey, spider, snail", "words": [ "spider", "spaceship", "snail", "jeans", "yellow", "goat", "donkey" ], "category_items": [ "goat", "donkey", "spider", "snail" ], "other_categories": [ "vehicle", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2661": { "input": "lizard, swan, cook, octopus, shoe, sweater, whale", "output": "lizard, whale, octopus, swan", "words": [ "lizard", "swan", "cook", "octopus", "shoe", "sweater", "whale" ], "category_items": [ "lizard", "whale", "octopus", "swan" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2662": { "input": "milk, octopus, lizard, monkey, horse, sandwich", "output": "lizard, horse, monkey, octopus", "words": [ "milk", "octopus", "lizard", "monkey", "horse", "sandwich" ], "category_items": [ "lizard", "horse", "monkey", "octopus" ], "other_categories": [ "food" ], "num_category_items": 4, "num_others": 2 }, "2663": { "input": "butterfly, train, elephant, goat, tractor, panda", "output": "elephant, panda, butterfly, goat", "words": [ "butterfly", "train", "elephant", "goat", "tractor", "panda" ], "category_items": [ "elephant", "panda", "butterfly", "goat" ], "other_categories": [ "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2664": { "input": "spaceship, scarf, horse, jellyfish, parrot, rabbit", "output": "rabbit, jellyfish, parrot, horse", "words": [ "spaceship", "scarf", "horse", "jellyfish", "parrot", "rabbit" ], "category_items": [ "rabbit", "jellyfish", "parrot", "horse" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2665": { "input": "skirt, sausage, giraffe, goat, donkey", "output": "goat, donkey, giraffe", "words": [ "skirt", "sausage", "giraffe", "goat", "donkey" ], "category_items": [ "goat", "donkey", "giraffe" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2666": { "input": "elephant, giraffe, whale, butter, shoe, cookie, hippo", "output": "whale, giraffe, elephant, hippo", "words": [ "elephant", "giraffe", "whale", "butter", "shoe", "cookie", "hippo" ], "category_items": [ "whale", "giraffe", "elephant", "hippo" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2667": { "input": "gold, parrot, sheep, ship, yellow, whale", "output": "parrot, sheep, whale", "words": [ "gold", "parrot", "sheep", "ship", "yellow", "whale" ], "category_items": [ "parrot", "sheep", "whale" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "2668": { "input": "ambulance, horse, businessman, snake, frog, shark", "output": "shark, frog, horse, snake", "words": [ "ambulance", "horse", "businessman", "snake", "frog", "shark" ], "category_items": [ "shark", "frog", "horse", "snake" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2669": { "input": "bee, elephant, hat, waiter, whale", "output": "bee, whale, elephant", "words": [ "bee", "elephant", "hat", "waiter", "whale" ], "category_items": [ "bee", "whale", "elephant" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2670": { "input": "sock, bat, gold, octopus, swan, purple", "output": "bat, swan, octopus", "words": [ "sock", "bat", "gold", "octopus", "swan", "purple" ], "category_items": [ "bat", "swan", "octopus" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2671": { "input": "dolphin, businessman, truck, whale, duck, hat", "output": "duck, whale, dolphin", "words": [ "dolphin", "businessman", "truck", "whale", "duck", "hat" ], "category_items": [ "duck", "whale", "dolphin" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2672": { "input": "whale, horse, pink, helicopter, brown, hippo", "output": "horse, whale, hippo", "words": [ "whale", "horse", "pink", "helicopter", "brown", "hippo" ], "category_items": [ "horse", "whale", "hippo" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "2673": { "input": "white, rabbit, ship, goat, duck", "output": "duck, goat, rabbit", "words": [ "white", "rabbit", "ship", "goat", "duck" ], "category_items": [ "duck", "goat", "rabbit" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 2 }, "2674": { "input": "parrot, donkey, shoe, octopus, snail, glove", "output": "octopus, parrot, snail, donkey", 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"num_others": 3 }, "2720": { "input": "burger, tractor, glove, monkey, chicken, goat", "output": "goat, chicken, monkey", "words": [ "burger", "tractor", "glove", "monkey", "chicken", "goat" ], "category_items": [ "goat", "chicken", "monkey" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2721": { "input": "spider, sheep, orange, car, red, snail, goat", "output": "snail, goat, spider, sheep", "words": [ "spider", "sheep", "orange", "car", "red", "snail", "goat" ], "category_items": [ "snail", "goat", "spider", "sheep" ], "other_categories": [ "food", "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "2722": { "input": "brown, dolphin, shark, truck, whale, yellow", "output": "whale, dolphin, shark", "words": [ "brown", "dolphin", "shark", "truck", "whale", "yellow" ], "category_items": [ "whale", "dolphin", "shark" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "2723": { "input": "butterfly, purple, bee, snail, pineapple, helicopter", "output": "snail, bee, butterfly", "words": [ "butterfly", "purple", "bee", "snail", "pineapple", "helicopter" ], "category_items": [ "snail", "bee", "butterfly" ], "other_categories": [ "vehicle", "food", "color" ], "num_category_items": 3, "num_others": 3 }, "2724": { "input": "giraffe, bee, pajamas, spaceship, tiger, taxi, octopus", "output": "giraffe, bee, octopus, tiger", "words": [ "giraffe", "bee", "pajamas", "spaceship", "tiger", "taxi", "octopus" ], "category_items": [ "giraffe", "bee", "octopus", "tiger" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2725": { "input": "tomato, frog, shark, fly, gold, snail", "output": "frog, snail, shark, fly", "words": [ "tomato", "frog", "shark", "fly", "gold", "snail" ], "category_items": [ "frog", "snail", "shark", "fly" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 2 }, "2726": { "input": "motorway, panda, engineer, monkey, sheep, gold, lizard", "output": "lizard, sheep, panda, monkey", "words": [ "motorway", "panda", "engineer", "monkey", "sheep", "gold", "lizard" ], "category_items": [ "lizard", "sheep", "panda", "monkey" ], "other_categories": [ "profession", "color", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "2727": { "input": "cook, horse, mouse, gray, elephant, rabbit, candy", "output": "mouse, elephant, horse, rabbit", "words": [ "cook", "horse", "mouse", "gray", "elephant", "rabbit", "candy" ], "category_items": [ "mouse", "elephant", "horse", "rabbit" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 4, "num_others": 3 }, "2728": { "input": "horse, ice cream, bee, sock, elephant", "output": "elephant, bee, horse", "words": [ "horse", "ice cream", "bee", "sock", "elephant" ], "category_items": [ "elephant", "bee", "horse" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2729": { "input": "honey, spider, parrot, mango, gold, octopus, mouse", "output": "octopus, parrot, spider, mouse", "words": [ "honey", "spider", "parrot", "mango", "gold", "octopus", "mouse" ], "category_items": [ "octopus", "parrot", "spider", "mouse" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 3 }, "2730": { "input": "lion, zebra, swimsuit, fly, ship, photographer", "output": "zebra, fly, lion", "words": [ "lion", "zebra", "swimsuit", "fly", "ship", "photographer" ], "category_items": [ "zebra", "fly", "lion" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2731": { "input": "camel, dolphin, pajamas, journalist, parrot, sheep", "output": "parrot, sheep, dolphin, camel", "words": [ "camel", "dolphin", "pajamas", "journalist", "parrot", "sheep" ], "category_items": [ "parrot", "sheep", "dolphin", "camel" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, 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"tortoise", "jacket", "cat", "glove", "duck" ], "category_items": [ "duck", "cat", "tortoise" ], "other_categories": [ "clothing" ], "num_category_items": 3, "num_others": 2 }, "2775": { "input": "pink, hippo, chicken, actor, car, monkey", "output": "chicken, monkey, hippo", "words": [ "pink", "hippo", "chicken", "actor", "car", "monkey" ], "category_items": [ "chicken", "monkey", "hippo" ], "other_categories": [ "profession", "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "2776": { "input": "cat, cook, jeans, shirt, camel, rabbit, giraffe", "output": "camel, giraffe, rabbit, cat", "words": [ "cat", "cook", "jeans", "shirt", "camel", "rabbit", "giraffe" ], "category_items": [ "camel", "giraffe", "rabbit", "cat" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2777": { "input": "parrot, butterfly, ship, duck, yellow, trousers", "output": "butterfly, duck, parrot", "words": [ "parrot", "butterfly", "ship", "duck", 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"other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 2 }, "2784": { "input": "sock, pear, octopus, frog, snake, sheep", "output": "sheep, snake, frog, octopus", "words": [ "sock", "pear", "octopus", "frog", "snake", "sheep" ], "category_items": [ "sheep", "snake", "frog", "octopus" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2785": { "input": "pineapple, lizard, panda, sheep, dentist, scarf", "output": "lizard, panda, sheep", "words": [ "pineapple", "lizard", "panda", "sheep", "dentist", "scarf" ], "category_items": [ "lizard", "panda", "sheep" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2786": { "input": "elephant, glove, whale, penguin, belt", "output": "elephant, penguin, whale", "words": [ "elephant", "glove", "whale", "penguin", "belt" ], "category_items": [ "elephant", "penguin", "whale" ], "other_categories": [ "clothing" ], 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doctor, tortoise, engineer, butterfly, frog", "output": "butterfly, tortoise, frog", "words": [ "onion", "doctor", "tortoise", "engineer", "butterfly", "frog" ], "category_items": [ "butterfly", "tortoise", "frog" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 3 }, "2791": { "input": "penguin, rice, camel, mango, brown, octopus", "output": "camel, penguin, octopus", "words": [ "penguin", "rice", "camel", "mango", "brown", "octopus" ], "category_items": [ "camel", "penguin", "octopus" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 3 }, "2792": { "input": "snake, rabbit, taxi, butterfly, mouse, orange", "output": "butterfly, snake, rabbit, mouse", "words": [ "snake", "rabbit", "taxi", "butterfly", "mouse", "orange" ], "category_items": [ "butterfly", "snake", "rabbit", "mouse" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 2 }, "2793": { "input": "bee, yellow, jacket, 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"sheep", "chicken", "bee", "spider" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2803": { "input": "tiger, elephant, shoe, hat, monkey, zebra, photographer", "output": "monkey, zebra, elephant, tiger", "words": [ "tiger", "elephant", "shoe", "hat", "monkey", "zebra", "photographer" ], "category_items": [ "monkey", "zebra", "elephant", "tiger" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2804": { "input": "lion, tiger, gold, bat, photographer, octopus", "output": "octopus, tiger, lion, bat", "words": [ "lion", "tiger", "gold", "bat", "photographer", "octopus" ], "category_items": [ "octopus", "tiger", "lion", "bat" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 2 }, "2805": { "input": "horse, cook, frog, green, tortoise, lion, taxi", "output": "frog, lion, tortoise, horse", "words": [ "horse", "cook", "frog", "green", "tortoise", 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"butterfly", "zebra", "lion" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "2812": { "input": "dolphin, taxi, zebra, fly, shirt, cat, shoe", "output": "zebra, dolphin, cat, fly", "words": [ "dolphin", "taxi", "zebra", "fly", "shirt", "cat", "shoe" ], "category_items": [ "zebra", "dolphin", "cat", "fly" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2813": { "input": "belt, giraffe, pasta, bee, rabbit", "output": "bee, giraffe, rabbit", "words": [ "belt", "giraffe", "pasta", "bee", "rabbit" ], "category_items": [ "bee", "giraffe", "rabbit" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2814": { "input": "pink, car, parrot, rabbit, jellyfish, monkey, orange", "output": "parrot, rabbit, monkey, jellyfish", "words": [ "pink", "car", "parrot", "rabbit", "jellyfish", "monkey", "orange" ], "category_items": [ "parrot", "rabbit", "monkey", "jellyfish" ], 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"vehicle" ], "num_category_items": 4, "num_others": 2 }, "2818": { "input": "candy, salad, bat, sweater, butterfly, spider", "output": "bat, spider, butterfly", "words": [ "candy", "salad", "bat", "sweater", "butterfly", "spider" ], "category_items": [ "bat", "spider", "butterfly" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2819": { "input": "spider, ambulance, parrot, penguin, giraffe, yellow, olives", "output": "spider, penguin, giraffe, parrot", "words": [ "spider", "ambulance", "parrot", "penguin", "giraffe", "yellow", "olives" ], "category_items": [ "spider", "penguin", "giraffe", "parrot" ], "other_categories": [ "food", "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "2820": { "input": "chocolate, monkey, pineapple, engineer, dolphin, zebra", "output": "dolphin, zebra, monkey", "words": [ "chocolate", "monkey", "pineapple", "engineer", "dolphin", "zebra" ], "category_items": [ "dolphin", "zebra", "monkey" ], 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"penguin" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2824": { "input": "orange, shirt, dolphin, olives, tortoise, sheep, parrot", "output": "tortoise, dolphin, sheep, parrot", "words": [ "orange", "shirt", "dolphin", "olives", "tortoise", "sheep", "parrot" ], "category_items": [ "tortoise", "dolphin", "sheep", "parrot" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2825": { "input": "belt, motorway, whale, swan, elephant, mechanic", "output": "whale, swan, elephant", "words": [ "belt", "motorway", "whale", "swan", "elephant", "mechanic" ], "category_items": [ "whale", "swan", "elephant" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2826": { "input": "octopus, fly, gold, actor, monkey, candy", "output": "octopus, monkey, fly", "words": [ "octopus", "fly", "gold", "actor", "monkey", "candy" ], "category_items": [ "octopus", "monkey", "fly" ], "other_categories": [ "profession", "food", "color" ], "num_category_items": 3, "num_others": 3 }, "2827": { "input": "helicopter, brown, camel, dolphin, snail", "output": "camel, snail, dolphin", "words": [ "helicopter", "brown", "camel", "dolphin", "snail" ], "category_items": [ "camel", "snail", "dolphin" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 2 }, "2828": { "input": "fly, duck, cat, journalist, doctor, green", "output": "fly, duck, cat", "words": [ "fly", "duck", "cat", "journalist", "doctor", "green" ], "category_items": [ "fly", "duck", "cat" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 3 }, "2829": { "input": "zebra, gold, mouse, duck, potato", "output": "zebra, duck, mouse", "words": [ "zebra", "gold", "mouse", "duck", "potato" ], "category_items": [ "zebra", "duck", "mouse" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "2830": { "input": "honey, hippo, tiger, swan, red, tractor, snail", "output": "snail, tiger, swan, hippo", "words": [ "honey", "hippo", "tiger", "swan", "red", "tractor", "snail" ], "category_items": [ "snail", "tiger", "swan", "hippo" ], "other_categories": [ "food", "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "2831": { "input": "elephant, monkey, octopus, gold, panda, ship", "output": "octopus, panda, monkey, elephant", "words": [ "elephant", "monkey", "octopus", "gold", "panda", "ship" ], "category_items": [ "octopus", "panda", "monkey", "elephant" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 2 }, "2832": { "input": "bat, ambulance, giraffe, whale, chocolate, pajamas", "output": "whale, giraffe, bat", "words": [ "bat", "ambulance", "giraffe", "whale", "chocolate", "pajamas" ], "category_items": [ "whale", "giraffe", "bat" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2833": { "input": "lion, photographer, engineer, swan, shark", "output": "shark, swan, lion", "words": [ "lion", "photographer", "engineer", "swan", "shark" ], "category_items": [ "shark", "swan", "lion" ], "other_categories": [ "profession" ], "num_category_items": 3, "num_others": 2 }, "2834": { "input": "swan, bread, monkey, hippo, horse, pink, jacket", "output": "hippo, monkey, horse, swan", "words": [ "swan", "bread", "monkey", "hippo", "horse", "pink", "jacket" ], "category_items": [ "hippo", "monkey", "horse", "swan" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2835": { "input": "vegetable, white, shark, tortoise, penguin, frog", "output": "shark, penguin, tortoise, frog", "words": [ "vegetable", "white", "shark", "tortoise", "penguin", "frog" ], "category_items": [ "shark", "penguin", "tortoise", "frog" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 2 }, "2836": { "input": "parrot, donkey, tortoise, gray, jeans", "output": "parrot, tortoise, donkey", "words": [ "parrot", "donkey", "tortoise", "gray", "jeans" ], "category_items": [ "parrot", "tortoise", "donkey" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2837": { "input": "spaceship, penguin, elephant, chicken, tractor", "output": "elephant, chicken, penguin", "words": [ "spaceship", "penguin", "elephant", "chicken", "tractor" ], "category_items": [ "elephant", "chicken", "penguin" ], "other_categories": [ "vehicle" ], "num_category_items": 3, "num_others": 2 }, "2838": { "input": "shark, tractor, bat, red, penguin", "output": "bat, shark, penguin", "words": [ "shark", "tractor", "bat", "red", "penguin" ], "category_items": [ "bat", "shark", "penguin" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 2 }, "2839": { "input": "panda, egg, parrot, jacket, mouse, elephant", "output": "panda, mouse, parrot, elephant", "words": [ "panda", "egg", "parrot", "jacket", "mouse", "elephant" ], "category_items": [ "panda", "mouse", "parrot", "elephant" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2840": { "input": "lizard, donkey, bus, actor, businesswoman, whale, butterfly", "output": "lizard, whale, butterfly, donkey", "words": [ "lizard", "donkey", "bus", "actor", "businesswoman", "whale", "butterfly" ], "category_items": [ "lizard", "whale", "butterfly", "donkey" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "2841": { "input": "frog, jellyfish, purple, sheep, brown", "output": "sheep, frog, jellyfish", "words": [ "frog", "jellyfish", "purple", "sheep", "brown" ], "category_items": [ "sheep", "frog", "jellyfish" ], "other_categories": [ "color" ], "num_category_items": 3, "num_others": 2 }, "2842": { "input": "sock, elephant, green, rabbit, frog", "output": "frog, elephant, rabbit", "words": [ "sock", "elephant", "green", "rabbit", "frog" ], "category_items": [ "frog", "elephant", "rabbit" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2843": { "input": "jellyfish, zebra, cat, sausage, onion", "output": "cat, zebra, jellyfish", "words": [ "jellyfish", "zebra", "cat", "sausage", "onion" ], "category_items": [ "cat", "zebra", "jellyfish" ], "other_categories": [ "food" ], "num_category_items": 3, "num_others": 2 }, "2844": { "input": "sheep, salad, sweater, tortoise, zebra, red, jellyfish", "output": "sheep, tortoise, zebra, jellyfish", "words": [ "sheep", "salad", "sweater", "tortoise", "zebra", "red", "jellyfish" ], "category_items": [ "sheep", "tortoise", "zebra", "jellyfish" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2845": { "input": "monkey, horse, blue, duck, banana", "output": "monkey, duck, horse", "words": [ "monkey", "horse", "blue", "duck", "banana" ], "category_items": [ "monkey", "duck", "horse" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "2846": { "input": "tractor, spaceship, cat, lizard, panda", "output": "panda, cat, lizard", "words": [ "tractor", "spaceship", "cat", "lizard", "panda" ], "category_items": [ "panda", "cat", "lizard" ], "other_categories": [ "vehicle" ], "num_category_items": 3, "num_others": 2 }, "2847": { "input": "hat, panda, lion, jeans, businessman, donkey", "output": "lion, donkey, panda", "words": [ "hat", "panda", "lion", "jeans", "businessman", "donkey" ], "category_items": [ "lion", "donkey", "panda" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2848": { "input": "hat, motorway, parrot, duck, hippo, chicken", "output": "parrot, duck, hippo, chicken", "words": [ "hat", "motorway", "parrot", "duck", "hippo", "chicken" ], "category_items": [ "parrot", "duck", "hippo", "chicken" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2849": { "input": "swan, swimsuit, whale, mouse, duck, car, dentist", "output": "whale, mouse, duck, swan", "words": [ "swan", "swimsuit", "whale", "mouse", "duck", "car", "dentist" ], "category_items": [ "whale", "mouse", "duck", "swan" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2850": { "input": "duck, rabbit, egg, lion, nurse", "output": "duck, lion, rabbit", "words": [ "duck", "rabbit", "egg", "lion", "nurse" ], "category_items": [ "duck", "lion", "rabbit" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 2 }, "2851": { "input": "yellow, zebra, blue, bread, snail, bat", "output": "bat, snail, zebra", "words": [ "yellow", "zebra", "blue", "bread", "snail", "bat" ], "category_items": [ "bat", "snail", "zebra" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 3 }, "2852": { "input": "kiwi, tiger, brown, horse, snail", "output": "horse, snail, tiger", "words": [ "kiwi", "tiger", "brown", "horse", "snail" ], "category_items": [ "horse", "snail", "tiger" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "2853": { "input": "duck, journalist, camel, chicken, horse, trousers", "output": "camel, chicken, horse, duck", "words": [ "duck", "journalist", "camel", "chicken", "horse", "trousers" ], "category_items": [ "camel", "chicken", "horse", "duck" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2854": { "input": "dress, carrot, spider, cat, whale", "output": "whale, cat, spider", "words": [ "dress", "carrot", "spider", "cat", "whale" ], "category_items": [ "whale", "cat", "spider" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2855": { "input": "sweater, duck, lizard, skirt, elephant", "output": "elephant, lizard, duck", "words": [ "sweater", "duck", "lizard", "skirt", "elephant" ], "category_items": [ "elephant", "lizard", "duck" ], "other_categories": [ "clothing" ], "num_category_items": 3, "num_others": 2 }, "2856": { "input": "mouse, dolphin, plane, orange, designer, camel", "output": "mouse, dolphin, camel", "words": [ "mouse", "dolphin", "plane", "orange", "designer", "camel" ], "category_items": [ "mouse", "dolphin", "camel" ], "other_categories": [ "profession", "color", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "2857": { "input": "onion, snake, tractor, bat, frog", "output": "frog, snake, bat", "words": [ "onion", "snake", "tractor", "bat", "frog" ], "category_items": [ "frog", "snake", "bat" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "2858": { "input": "frog, belt, bat, butterfly, helicopter, bee", "output": "butterfly, bee, frog, bat", "words": [ "frog", "belt", "bat", "butterfly", "helicopter", "bee" ], "category_items": [ "butterfly", "bee", "frog", "bat" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2859": { "input": "mouse, glove, butterfly, blue, giraffe, sheep", "output": "sheep, mouse, giraffe, butterfly", "words": [ "mouse", "glove", "butterfly", "blue", "giraffe", "sheep" ], "category_items": [ "sheep", "mouse", "giraffe", "butterfly" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2860": { "input": "penguin, car, mouse, bean, lion, snail, businesswoman", "output": "mouse, penguin, snail, lion", "words": [ "penguin", "car", "mouse", "bean", "lion", "snail", "businesswoman" ], "category_items": [ "mouse", "penguin", "snail", "lion" ], "other_categories": [ "profession", "food", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "2861": { "input": "meatballs, zebra, snail, onion, jellyfish, vegetable", "output": "jellyfish, snail, zebra", "words": [ "meatballs", "zebra", "snail", "onion", "jellyfish", "vegetable" ], "category_items": [ "jellyfish", "snail", "zebra" ], "other_categories": [ "food" ], "num_category_items": 3, "num_others": 3 }, "2862": { "input": "spider, rabbit, mouse, jellyfish, white, skirt", "output": "spider, jellyfish, mouse, rabbit", "words": [ "spider", "rabbit", "mouse", "jellyfish", "white", "skirt" ], "category_items": [ "spider", "jellyfish", "mouse", "rabbit" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2863": { "input": "shoe, car, waiter, mouse, tiger, goat", "output": "goat, tiger, mouse", "words": [ "shoe", "car", "waiter", "mouse", "tiger", "goat" ], "category_items": [ "goat", "tiger", "mouse" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2864": { "input": "zebra, frog, ambulance, sheep, taxi, lion, red", "output": "frog, lion, sheep, zebra", "words": [ "zebra", "frog", "ambulance", "sheep", "taxi", "lion", "red" ], "category_items": [ "frog", "lion", "sheep", "zebra" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "2865": { "input": "shirt, mouse, spider, snake, truck, giraffe", "output": "giraffe, snake, spider, mouse", "words": [ "shirt", "mouse", "spider", "snake", "truck", "giraffe" ], "category_items": [ "giraffe", "snake", "spider", "mouse" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2866": { "input": "snail, tomato, red, fly, rabbit", "output": "fly, snail, rabbit", "words": [ "snail", "tomato", "red", "fly", "rabbit" ], "category_items": [ "fly", "snail", "rabbit" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "2867": { "input": "snail, cat, mechanic, bat, taxi, ambulance", "output": "cat, snail, bat", "words": [ "snail", "cat", "mechanic", "bat", "taxi", "ambulance" ], "category_items": [ "cat", "snail", "bat" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 3, "num_others": 3 }, 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"food", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "2893": { "input": "fly, penguin, camel, ambulance, actor", "output": "camel, fly, penguin", "words": [ "fly", "penguin", "camel", "ambulance", "actor" ], "category_items": [ "camel", "fly", "penguin" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "2894": { "input": "duck, pea, swimsuit, shark, lion, sheep", "output": "shark, sheep, duck, lion", "words": [ "duck", "pea", "swimsuit", "shark", "lion", "sheep" ], "category_items": [ "shark", "sheep", "duck", "lion" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2895": { "input": "mouse, giraffe, cookie, artist, lizard", "output": "lizard, mouse, giraffe", "words": [ "mouse", "giraffe", "cookie", "artist", "lizard" ], "category_items": [ "lizard", "mouse", "giraffe" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 2 }, "2896": { "input": "yellow, sock, lemon, octopus, bat, dolphin", "output": "dolphin, bat, octopus", "words": [ "yellow", "sock", "lemon", "octopus", "bat", "dolphin" ], "category_items": [ "dolphin", "bat", "octopus" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2897": { "input": "elephant, ship, cook, tortoise, spider, waiter, sheep", "output": "sheep, elephant, spider, tortoise", "words": [ "elephant", "ship", "cook", "tortoise", "spider", "waiter", "sheep" ], "category_items": [ "sheep", "elephant", "spider", "tortoise" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "2898": { "input": "parrot, chicken, tortoise, tractor, designer, chocolate", "output": "chicken, parrot, tortoise", "words": [ "parrot", "chicken", "tortoise", "tractor", "designer", "chocolate" ], "category_items": [ "chicken", "parrot", "tortoise" ], "other_categories": [ "profession", "food", "vehicle" ], "num_category_items": 3, "num_others": 3 }, "2899": { "input": "panda, car, sheep, engineer, snail, penguin", "output": "snail, sheep, panda, penguin", "words": [ "panda", "car", "sheep", "engineer", "snail", "penguin" ], "category_items": [ "snail", "sheep", "panda", "penguin" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2900": { "input": "chicken, camel, honey, horse, jellyfish, trousers, skirt", "output": "jellyfish, horse, chicken, camel", "words": [ "chicken", "camel", "honey", "horse", "jellyfish", "trousers", "skirt" ], "category_items": [ "jellyfish", "horse", "chicken", "camel" ], "other_categories": [ "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2901": { "input": "goat, bat, journalist, tiger, artist, zebra, truck", "output": "tiger, goat, zebra, bat", "words": [ "goat", "bat", "journalist", "tiger", "artist", "zebra", "truck" ], "category_items": [ "tiger", "goat", "zebra", "bat" ], "other_categories": [ "profession", 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2 }, "2905": { "input": "cook, tortoise, rabbit, train, jellyfish, sock", "output": "tortoise, jellyfish, rabbit", "words": [ "cook", "tortoise", "rabbit", "train", "jellyfish", "sock" ], "category_items": [ "tortoise", "jellyfish", "rabbit" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2906": { "input": "skirt, cook, horse, spaceship, donkey, octopus", "output": "octopus, donkey, horse", "words": [ "skirt", "cook", "horse", "spaceship", "donkey", "octopus" ], "category_items": [ "octopus", "donkey", "horse" ], "other_categories": [ "profession", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2907": { "input": "duck, soup, swimsuit, snail, rabbit, taxi", "output": "snail, duck, rabbit", "words": [ "duck", "soup", "swimsuit", "snail", "rabbit", "taxi" ], "category_items": [ "snail", "duck", "rabbit" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2908": { "input": "tractor, dolphin, elephant, truck, plane, butterfly, whale", "output": "elephant, whale, butterfly, dolphin", "words": [ "tractor", "dolphin", "elephant", "truck", "plane", "butterfly", "whale" ], "category_items": [ "elephant", "whale", "butterfly", "dolphin" ], "other_categories": [ "vehicle" ], "num_category_items": 4, "num_others": 3 }, "2909": { "input": "white, monkey, lemon, shark, tortoise", "output": "shark, monkey, tortoise", "words": [ "white", "monkey", "lemon", "shark", "tortoise" ], "category_items": [ "shark", "monkey", "tortoise" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "2910": { "input": "actor, red, tiger, lizard, horse, brown", "output": "lizard, horse, tiger", "words": [ "actor", "red", "tiger", "lizard", "horse", "brown" ], "category_items": [ "lizard", "horse", "tiger" ], "other_categories": [ "profession", "color" ], "num_category_items": 3, "num_others": 3 }, "2911": { "input": "hippo, duck, 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"potato", "bee", "hippo", "cat" ], "category_items": [ "cat", "bee", "hippo", "octopus" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 2 }, "2915": { "input": "carrot, bat, whale, dress, businessman, snail", "output": "whale, bat, snail", "words": [ "carrot", "bat", "whale", "dress", "businessman", "snail" ], "category_items": [ "whale", "bat", "snail" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2916": { "input": "rabbit, fly, monkey, mouse, green, dentist, purple", "output": "rabbit, mouse, fly, monkey", "words": [ "rabbit", "fly", "monkey", "mouse", "green", "dentist", "purple" ], "category_items": [ "rabbit", "mouse", "fly", "monkey" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 3 }, "2917": { "input": "nurse, lion, cat, yoghurt, tortoise", "output": "lion, cat, tortoise", "words": [ "nurse", "lion", "cat", "yoghurt", "tortoise" ], "category_items": [ "lion", "cat", "tortoise" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 2 }, "2918": { "input": "meatballs, tractor, mouse, swan, parrot", "output": "mouse, swan, parrot", "words": [ "meatballs", "tractor", "mouse", "swan", "parrot" ], "category_items": [ "mouse", "swan", "parrot" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 3, "num_others": 2 }, "2919": { "input": "chicken, train, lizard, octopus, sheep, trousers", "output": "chicken, lizard, octopus, sheep", "words": [ "chicken", "train", "lizard", "octopus", "sheep", "trousers" ], "category_items": [ "chicken", "lizard", "octopus", "sheep" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2920": { "input": "purple, parrot, horse, rabbit, belt, elephant, hat", "output": "elephant, rabbit, horse, parrot", "words": [ "purple", "parrot", "horse", "rabbit", "belt", "elephant", "hat" ], "category_items": [ "elephant", "rabbit", "horse", "parrot" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2921": { "input": "octopus, jacket, ambulance, snake, spider, bee, scarf", "output": "bee, octopus, snake, spider", "words": [ "octopus", "jacket", "ambulance", "snake", "spider", "bee", "scarf" ], "category_items": [ "bee", "octopus", "snake", "spider" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2922": { "input": "bee, jeans, mouse, panda, frog, orange", "output": "panda, mouse, frog, bee", "words": [ "bee", "jeans", "mouse", "panda", "frog", "orange" ], "category_items": [ "panda", "mouse", "frog", "bee" ], "other_categories": [ "color", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2923": { "input": "panda, bee, sweater, sheep, tortoise, businessman", "output": "sheep, bee, panda, tortoise", "words": [ "panda", "bee", "sweater", "sheep", "tortoise", "businessman" ], "category_items": [ "sheep", "bee", "panda", "tortoise" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2924": { "input": "car, orange, lizard, zebra, fly, pea", "output": "lizard, fly, zebra", "words": [ "car", "orange", "lizard", "zebra", "fly", "pea" ], "category_items": [ "lizard", "fly", "zebra" ], "other_categories": [ "vehicle", "food", "color" ], "num_category_items": 3, "num_others": 3 }, "2925": { "input": "snake, sheep, train, hippo, brown", "output": "hippo, snake, sheep", "words": [ "snake", "sheep", "train", "hippo", "brown" ], "category_items": [ "hippo", "snake", "sheep" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 2 }, "2926": { "input": "frog, chicken, plane, gold, donkey", "output": "chicken, donkey, frog", "words": [ "frog", "chicken", "plane", "gold", "donkey" ], "category_items": [ "chicken", "donkey", "frog" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 2 }, "2927": { "input": "bat, blue, zebra, swimsuit, mouse", "output": "zebra, mouse, bat", "words": [ "bat", "blue", "zebra", "swimsuit", "mouse" ], "category_items": [ "zebra", "mouse", "bat" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2928": { "input": "salad, penguin, octopus, chocolate, swan, giraffe", "output": "penguin, swan, giraffe, octopus", "words": [ "salad", "penguin", "octopus", "chocolate", "swan", "giraffe" ], "category_items": [ "penguin", "swan", "giraffe", "octopus" ], "other_categories": [ "food" ], "num_category_items": 4, "num_others": 2 }, "2929": { "input": "tiger, tortoise, whale, brown, jeans", "output": "whale, tiger, tortoise", "words": [ "tiger", "tortoise", "whale", "brown", "jeans" ], "category_items": [ "whale", "tiger", "tortoise" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2930": { "input": "skirt, pineapple, whale, frog, shark, shirt, chicken", "output": 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"giraffe", "butterfly", "fly" ], "other_categories": [ "vehicle", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2961": { "input": "giraffe, hippo, yellow, jellyfish, snake, blue, bus", "output": "hippo, jellyfish, giraffe, snake", "words": [ "giraffe", "hippo", "yellow", "jellyfish", "snake", "blue", "bus" ], "category_items": [ "hippo", "jellyfish", "giraffe", "snake" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 4, "num_others": 3 }, "2962": { "input": "bee, motorway, snake, bat, photographer, spaceship, shark", "output": "bee, snake, bat, shark", "words": [ "bee", "motorway", "snake", "bat", "photographer", "spaceship", "shark" ], "category_items": [ "bee", "snake", "bat", "shark" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 3 }, "2963": { "input": "banana, belt, glove, mouse, camel, frog", "output": "mouse, camel, frog", "words": [ "banana", "belt", "glove", "mouse", "camel", "frog" ], "category_items": [ "mouse", "camel", "frog" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2964": { "input": "parrot, shirt, monkey, journalist, purple, butterfly", "output": "butterfly, parrot, monkey", "words": [ "parrot", "shirt", "monkey", "journalist", "purple", "butterfly" ], "category_items": [ "butterfly", "parrot", "monkey" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2965": { "input": "red, camel, gray, jacket, jellyfish, duck", "output": "jellyfish, duck, camel", "words": [ "red", "camel", "gray", "jacket", "jellyfish", "duck" ], "category_items": [ "jellyfish", "duck", "camel" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2966": { "input": "giraffe, lizard, red, blue, camel", "output": "camel, giraffe, lizard", "words": [ "giraffe", "lizard", "red", "blue", "camel" ], "category_items": [ "camel", "giraffe", "lizard" ], 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"belt", "frog", "octopus", "trousers", "swan", "orange" ], "category_items": [ "octopus", "swan", "frog" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2977": { "input": "dolphin, bus, horse, chicken, elephant, egg", "output": "dolphin, chicken, horse, elephant", "words": [ "dolphin", "bus", "horse", "chicken", "elephant", "egg" ], "category_items": [ "dolphin", "chicken", "horse", "elephant" ], "other_categories": [ "food", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2978": { "input": "scarf, parrot, purple, helicopter, butterfly, lion", "output": "parrot, lion, butterfly", "words": [ "scarf", "parrot", "purple", "helicopter", "butterfly", "lion" ], "category_items": [ "parrot", "lion", "butterfly" ], "other_categories": [ "vehicle", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2979": { "input": "cookie, parrot, shark, red, chicken, hat, swan", "output": "parrot, swan, shark, chicken", "words": [ "cookie", "parrot", "shark", "red", "chicken", "hat", "swan" ], "category_items": [ "parrot", "swan", "shark", "chicken" ], "other_categories": [ "food", "color", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2980": { "input": "dolphin, green, sheep, bat, taxi", "output": "dolphin, bat, sheep", "words": [ "dolphin", "green", "sheep", "bat", "taxi" ], "category_items": [ "dolphin", "bat", "sheep" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 2 }, "2981": { "input": "dolphin, artist, octopus, red, bee, jeans", "output": "bee, octopus, dolphin", "words": [ "dolphin", "artist", "octopus", "red", "bee", "jeans" ], "category_items": [ "bee", "octopus", "dolphin" ], "other_categories": [ "profession", "color", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2982": { "input": "gold, whale, swan, shark, pajamas", "output": "whale, swan, shark", "words": [ "gold", "whale", "swan", "shark", "pajamas" ], "category_items": [ "whale", "swan", "shark" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2983": { "input": "fly, donkey, dentist, bus, goat, mouse", "output": "goat, donkey, fly, mouse", "words": [ "fly", "donkey", "dentist", "bus", "goat", "mouse" ], "category_items": [ "goat", "donkey", "fly", "mouse" ], "other_categories": [ "profession", "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2984": { "input": "whale, cook, shark, olives, snake", "output": "shark, snake, whale", "words": [ "whale", "cook", "shark", "olives", "snake" ], "category_items": [ "shark", "snake", "whale" ], "other_categories": [ "profession", "food" ], "num_category_items": 3, "num_others": 2 }, "2985": { "input": "monkey, donkey, sheep, elephant, orange, potato", "output": "donkey, sheep, monkey, elephant", "words": [ "monkey", "donkey", "sheep", "elephant", "orange", "potato" ], "category_items": [ "donkey", "sheep", "monkey", "elephant" ], "other_categories": [ "food", "color" ], "num_category_items": 4, "num_others": 2 }, "2986": { "input": "chocolate, panda, donkey, rabbit, pajamas", "output": "donkey, rabbit, panda", "words": [ "chocolate", "panda", "donkey", "rabbit", "pajamas" ], "category_items": [ "donkey", "rabbit", "panda" ], "other_categories": [ "food", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2987": { "input": "plane, orange, train, hippo, tiger, cat", "output": "hippo, cat, tiger", "words": [ "plane", "orange", "train", "hippo", "tiger", "cat" ], "category_items": [ "hippo", "cat", "tiger" ], "other_categories": [ "vehicle", "color" ], "num_category_items": 3, "num_others": 3 }, "2988": { "input": "blue, whale, bat, skirt, chicken", "output": "whale, bat, chicken", "words": [ "blue", "whale", "bat", "skirt", "chicken" ], "category_items": [ "whale", "bat", "chicken" ], "other_categories": [ "color", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2989": { "input": "olives, bat, lizard, red, snake, pink", "output": "snake, bat, lizard", "words": [ "olives", "bat", "lizard", "red", "snake", "pink" ], "category_items": [ "snake", "bat", "lizard" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 3 }, "2990": { "input": "swan, taxi, hippo, tiger, bee, helicopter", "output": "bee, tiger, swan, hippo", "words": [ "swan", "taxi", "hippo", "tiger", "bee", "helicopter" ], "category_items": [ "bee", "tiger", "swan", "hippo" ], "other_categories": [ "vehicle" ], "num_category_items": 4, "num_others": 2 }, "2991": { "input": "cat, soup, sock, ship, spider, bee", "output": "spider, cat, bee", "words": [ "cat", "soup", "sock", "ship", "spider", "bee" ], "category_items": [ "spider", "cat", "bee" ], "other_categories": [ "food", "vehicle", "clothing" ], "num_category_items": 3, "num_others": 3 }, "2992": { "input": "businesswoman, sweater, butterfly, elephant, lion", "output": "butterfly, lion, elephant", "words": [ "businesswoman", "sweater", "butterfly", "elephant", "lion" ], "category_items": [ "butterfly", "lion", "elephant" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 3, "num_others": 2 }, "2993": { "input": "octopus, burger, dolphin, cookie, rabbit", "output": "octopus, rabbit, dolphin", "words": [ "octopus", "burger", "dolphin", "cookie", "rabbit" ], "category_items": [ "octopus", "rabbit", "dolphin" ], "other_categories": [ "food" ], "num_category_items": 3, "num_others": 2 }, "2994": { "input": "pink, designer, octopus, goat, lion, red, parrot", "output": "lion, parrot, octopus, goat", "words": [ "pink", "designer", "octopus", "goat", "lion", "red", "parrot" ], "category_items": [ "lion", "parrot", "octopus", "goat" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 3 }, "2995": { "input": "car, tortoise, truck, spider, sheep", "output": "spider, sheep, tortoise", "words": [ "car", "tortoise", "truck", "spider", "sheep" ], "category_items": [ "spider", "sheep", "tortoise" ], "other_categories": [ "vehicle" ], "num_category_items": 3, "num_others": 2 }, "2996": { "input": "frog, cookie, mechanic, bee, dolphin, fly, scarf", "output": "bee, frog, dolphin, fly", "words": [ "frog", "cookie", "mechanic", "bee", "dolphin", "fly", "scarf" ], "category_items": [ "bee", "frog", "dolphin", "fly" ], "other_categories": [ "profession", "food", "clothing" ], "num_category_items": 4, "num_others": 3 }, "2997": { "input": "shark, white, butter, horse, parrot", "output": "shark, parrot, horse", "words": [ "shark", "white", "butter", "horse", "parrot" ], "category_items": [ "shark", "parrot", "horse" ], "other_categories": [ "food", "color" ], "num_category_items": 3, "num_others": 2 }, "2998": { "input": "waiter, sweater, jellyfish, spider, elephant, bee", "output": "bee, jellyfish, spider, elephant", "words": [ "waiter", "sweater", "jellyfish", "spider", "elephant", "bee" ], "category_items": [ "bee", "jellyfish", "spider", "elephant" ], "other_categories": [ "profession", "clothing" ], "num_category_items": 4, "num_others": 2 }, "2999": { "input": "octopus, zebra, photographer, purple, mouse, frog", "output": "mouse, frog, octopus, zebra", "words": [ "octopus", "zebra", "photographer", "purple", "mouse", "frog" ], "category_items": [ "mouse", "frog", "octopus", "zebra" ], "other_categories": [ "profession", "color" ], "num_category_items": 4, "num_others": 2 }, "3000": { "input": "belt, chicken, horse, panda, duck, sock", "output": "panda, chicken, horse, duck", "words": [ "belt", "chicken", "horse", "panda", "duck", "sock" ], "category_items": [ "panda", "chicken", "horse", "duck" ], "other_categories": [ "clothing" ], "num_category_items": 4, "num_others": 2 } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/induce/translation_en-de.json ================================================ { "metadata": { "num_examples": 2808 }, "examples": { "1": { "input": "time", "output": "Zeit", "possible_translations": [ "Zeiten", "terminieren", "Zeit messen", "timen", "Mal", "Zeit stoppen", "mal", "Zeitpunkt", "Uhrzeit", "Zeit nehmen", "zeitlich planen", "Zeit", "Zeitpunkt wählen", "Zeitalter" ] }, "2": { "input": "game", "output": "Spiel", "possible_translations": [ "zocken", "Wild", "bereit", "Spiel", "dabei" ] }, "3": { "input": "film", "output": "Film", "possible_translations": [ "Film", "drehen", "filmen" ] }, "4": { "input": "season", "output": "Staffel", "possible_translations": [ "Jahreszeit", "austrocknen", "trocknen", "Saison", "würzen", "Staffel", "anpassen", "altern", "abhärten" ] }, "5": { "input": "year", "output": "Jahr", "possible_translations": [ "Jahr" ] }, "6": { "input": "second", "output": "Sekunde", "possible_translations": [ "Augenblick", "Sekundant", "zweite Wahl", "zweiter", "Moment", "Sekunde" ] }, "7": { "input": "album", "output": "Album", "possible_translations": [ "Album" ] }, "8": { "input": "song", "output": "Lied", "possible_translations": [ "Song", "Lied", "Gesang" ] }, "9": { "input": "number", "output": "Anzahl", "possible_translations": [ "Anzahl", "Ziffer", "nummerieren", "Nummer", "Zahl", "zählen" ] }, "10": { "input": "part", "output": "Teil", "possible_translations": [ "Scheitel", "Rolle", "teilen", "Teil", "sich trennen. scheiden", "scheiteln", "trennen", "verlassen" ] }, "11": { "input": "team", "output": "Mannschaft", "possible_translations": [ "Team", "Mannschaft" ] }, "12": { "input": "episode", "output": "Episode", "possible_translations": [ "Folge", "Episode" ] }, "13": { "input": "work", "output": "Arbeit", "possible_translations": [ "funktionieren", "arbeiten", "Werk", "Arbeit", "wirken" ] }, "14": { "input": "day", "output": "Tag", "possible_translations": [ "Tag" ] }, "15": { "input": "end", "output": "Tod", "possible_translations": [ "Ende", "enden", "Tod", "beenden", "Schluss" ] }, "16": { "input": "music", "output": "Musik", "possible_translations": [ "Noten", "Musik" ] }, "17": { "input": "state", "output": "Zustand", "possible_translations": [ "Land", "Zustand", "Staat", "nennen", "erklären", "darlegen" ] }, "18": { "input": "century", "output": "Jahrhundert", "possible_translations": [ "Zenturie", "Jahrhundert" ] }, "19": { "input": "area", "output": "Areal", "possible_translations": [ "Oberfläche", "Areal", "Gebiet" ] }, "20": { "input": "life", "output": "Leben", "possible_translations": [ "lebenslänglich", "Leben", "Lebensdauer" ] }, "21": { "input": "city", "output": "Stadt", "possible_translations": [ "Stadt" ] }, "22": { "input": "show", "output": "Demonstration", "possible_translations": [ "Demonstration", "Show", "zeigen", "Schau" ] }, "23": { "input": "war", "output": "Krieg", "possible_translations": [ "Krieg", "kriegen", "Krieg führen" ] }, "24": { "input": "group", "output": "Gruppe", "possible_translations": [ "Gruppe", "Benutzergruppe", "gruppieren" ] }, "25": { "input": "character", "output": "Charakter", "possible_translations": [ "Person", "Original", "Buchstabe", "Figur", "Charakter", "Character", "Zeichen" ] }, "26": { "input": "system", "output": "System", "possible_translations": [ "System", "Ordnung" ] }, "27": { "input": "name", "output": "Name", "possible_translations": [ "ernennen", "taufen", "bezeichnen", "nennen", "Name", "benennen", "Ruf" ] }, "28": { "input": "government", "output": "Regierung", "possible_translations": [ "Regierung" ] }, "29": { "input": "line", "output": "Zeile", "possible_translations": [ "sich aufreihen", "Strecke", "Gerade", "sich eingliedern", "Weg", "Leine", "Pfad", "Zeile", "ein paar Zeilen", "Linie", "gerade Linie", "Kante", "Leitung", "Schlange" ] }, "30": { "input": "home", "output": "Heimat", "possible_translations": [ "zielen", "Zuhause", "heim", "Elternhaus", "Ruhestätte", "daheim", "zu Hause", "nachhause", "heimwärts", "nach Hause", "Nest", "Wohnung", "anpeilen", "Heimat", "zuhause", "Heim" ] }, "31": { "input": "band", "output": "Band", "possible_translations": [ "Trupp", "Mannschaft", "Musikkapelle", "Bande", "Combo", "Gemeinde", "Blaskapelle", "Marschkapelle", "binden", "Kapelle", "Stamm", "Gruppe", "Frequenzspektrum", "sich vereinigen", "beringen", "Band", "verbinden" ] }, "32": { "input": "record", "output": "Datensatz", "possible_translations": [ "Schallplatte", "Rekord", "Höchstleistung", "aufzeichnen", "Bestleistung", "eintragen", "protokollieren", "Aufnahme", "Datensatz", "Aufzeichnung" ] }, "33": { "input": "ship", "output": "Schiff", "possible_translations": [ "verschiffen", "versenden", "verschicken", "Schiff" ] }, "34": { "input": "world", "output": "Welt", "possible_translations": [ "Welt", "Erde" ] }, "35": { "input": "death", "output": "Tod", "possible_translations": [ "der Tod", "Tod", "Untergang" ] }, "36": { "input": "release", "output": "Veröffentlichung", "possible_translations": [ "Veröffentlichung", "veröffentlichen", "freilassen", "loslassen", "Version", "freisetzen", "Freisetzung" ] }, "37": { "input": "video", "output": "Video", "possible_translations": [ "Video" ] }, "38": { "input": "role", "output": "Rolle", "possible_translations": [ "Aufgabe", "Rolle", "Funktion" ] }, "39": { "input": "match", "output": "ebenbürtig", "possible_translations": [ "Streichholz", "Spiel", "ebenbürtig", "übereinstimmen", "Zündholz", "passen" ] }, "40": { "input": "way", "output": "Weise", "possible_translations": [ "sehr", "Methode", "Weise", "Weg", "Art" ] }, "41": { "input": "south", "output": "Süden", "possible_translations": [ "südlich", "auf dem absteigen Ast", "den Bach runter", "Süden", "süd-" ] }, "42": { "input": "side", "output": "Seite", "possible_translations": [ "Seite" ] }, "43": { "input": "career", "output": "Karriere", "possible_translations": [ "Karriere" ] }, "44": { "input": "school", "output": "Schule", "possible_translations": [ "Schwarm", "Universität", "Schule", "Fakultät", "schulen", "Hochschule", "unterrichten" ] }, "45": { "input": "production", "output": "Produktion", "possible_translations": [ "Herstellung", "Inszenierung", "Produktion" ] }, "46": { "input": "story", "output": "Erzählung", "possible_translations": [ "Geschichte", "Erzählung" ] }, "47": { "input": "water", "output": "Wasser", "possible_translations": [ "Wasser", "Harn lassen", "tränken", "gießen", "tränen", "bewässern", "Gewässer" ] }, "48": { "input": "power", "output": "Macht", "possible_translations": [ "Potenz", "Großmacht", "Hochzahl", "Stärke", "Macht", "Leistung", "Strom", "Kraft", "Energie" ] }, "49": { "input": "form", "output": "Formular", "possible_translations": [ "Form", "bilden", "formen", "Formular" ] }, "50": { "input": "storm", "output": "Sturm", "possible_translations": [ "Sturm", "stürmen" ] }, "51": { "input": "player", "output": "Spieler", "possible_translations": [ "Spieler" ] }, "52": { "input": "history", "output": "Geschichte", "possible_translations": [ "Geschichtswissenschaft", "Geschichte", "Verlauf", "Erzählung" ] }, "53": { "input": "version", "output": "Version", "possible_translations": [ "Version" ] }, "54": { "input": "support", "output": "Unterstützung", "possible_translations": [ "Unterstützung", "Träger", "stützen", "unterstützen", "Support bieten", "Stütze" ] }, "55": { "input": "book", "output": "Buch ; Pennsylvania German: buch", "possible_translations": [ "schreiben", "Buch ; Pennsylvania German: buch", "reservieren", "bestrafen", "Wettliste", "buchen", "rasen", "notieren", "Album", "Bücher" ] }, "56": { "input": "period", "output": "Stunde", "possible_translations": [ "Stunde", "Zeitraum", "Punkt", "Epoche" ] }, "57": { "input": "half", "output": "Hälfte", "possible_translations": [ "halb", "Hälfte" ] }, "58": { "input": "company", "output": "Gesellschaft", "possible_translations": [ "Firma", "Gesellschaft", "Kompanie", "Unternehmen" ] }, "59": { "input": "position", "output": "Position", "possible_translations": [ "Position", "Arbeitsplatz", "Stelle", "positionieren", "Stellung" ] }, "60": { "input": "order", "output": "Ordnung", "possible_translations": [ "Bestellung", "ordnen", "Order", "Orden", "befehlen", "ordern", "Ordnungszahl", "Ordo", "Befehl", "anordnen", "bestellen", "Reihenfolge", "Ordnung" ] }, "61": { "input": "attack", "output": "Attacke", "possible_translations": [ "angreifen", "Angriff", "Anfall", "Attacke", "attackieren" ] }, "62": { "input": "building", "output": "Bau", "possible_translations": [ "Gebäude", "Bau", "Bauen" ] }, "63": { "input": "town", "output": "Stadt", "possible_translations": [ "Gemeinde", "Städtchen", "Ort", "Stadt" ] }, "64": { "input": "performance", "output": "Leistung", "possible_translations": [ "Durchführung", "Aufführung", "Auftritt", "Leistung", "Arbeitsleistung" ] }, "65": { "input": "country", "output": "Land ; Staat ; Vaterland", "possible_translations": [ "ländlich", "Land", "Land ; Landschaft ; Region", "Land ; Staat ; Vaterland", "Land-" ] }, "66": { "input": "west", "output": "West", "possible_translations": [ "Westen", "westlich", "West", "westwärts", "abendländisch" ] }, "67": { "input": "service", "output": "Service", "possible_translations": [ "Wehrdienst", "Dienst", "warten", "Angabe", "Dienstleistung", "Aufschlag", "Gottesdienst", "Service", "bedienen" ] }, "68": { "input": "father", "output": "Vater", "possible_translations": [ "zeugen", "Vater" ] }, "69": { "input": "track", "output": "Spurweite", "possible_translations": [ "Spurweite", "Fußspur" ] }, "70": { "input": "club", "output": "Klub", "possible_translations": [ "Schläger", "Klub", "zusammenlegen", "Kreuz", "Nachtlokal", "Keule", "Verein", "schlagen", "Nachtklub", "Bengel" ] }, "71": { "input": "control", "output": "Kontrolle", "possible_translations": [ "kontrollieren", "steuern", "Kontrollgruppe", "Steuerelement", "Kontrollen", "Kontrollelement", "Kontrolle" ] }, "72": { "input": "development", "output": "Entwicklung", "possible_translations": [ "Entwicklung" ] }, "73": { "input": "result", "output": "Ergebnis", "possible_translations": [ "Resultat", "Ergebnis" ] }, "74": { "input": "run", "output": "Lauf", "possible_translations": [ "gehen", "Laufmasche", "verlaufen", "Lauf", "fließen", "kandidieren", "rennen", "laufen" ] }, "75": { "input": "week", "output": "Woche", "possible_translations": [ "Woche" ] }, "76": { "input": "class", "output": "Klasse", "possible_translations": [ "Stil", "Classis", "Unterricht", "Klasse" ] }, "77": { "input": "force", "output": "Kraft", "possible_translations": [ "Gewalt", "erzwingen", "zwingen", "Kräfte", "Kraft" ] }, "78": { "input": "land", "output": "Land", "possible_translations": [ "Land", "landen", "Länder" ] }, "79": { "input": "house", "output": "Haus", "possible_translations": [ "Häuser", "unterbringen", "beherbergen", "Haus" ] }, "80": { "input": "fire", "output": "Feuer", "possible_translations": [ "Heizstrahler", "abfeuern", "schießen", "kündigen", "Ofen", "Heizlüfter", "Feuer", "auslösen", "feuern", "Brand", "brennen" ] }, "81": { "input": "television", "output": "Fernsehen", "possible_translations": [ "Fernsehapparat", "Glotze", "Fernsehen", "Fernseher", "Television" ] }, "82": { "input": "return", "output": "Rückkehr", "possible_translations": [ "Rückfahrkarte", "zurückkommen", "Rückkehr", "zurückgeben", "zurückkehren" ] }, "83": { "input": "head", "output": "Kopf", "possible_translations": [ "Top", "köpfen", "Oberende", "Leiter", "ansteuern", "Haupt-", "ziehen", "Rektor", "Blume", "Dach", "auf etwas zusteuern", "Schaumkrone", "in eine Richtung gehen", "Direktorin", "Leiterin", "Haupt", "Oberhaupt", "Kopf", "Abtritt", "Spitze", "Kopf-", "Rektorin", "Krone", "führen", "leiten", "Direktor" ] }, "84": { "input": "style", "output": "Stil", "possible_translations": [ "Stil" ] }, "85": { "input": "design", "output": "Entwurf", "possible_translations": [ "Design", "Plan", "designen", "Absicht", "Muster", "Entwurf", "entwerfen" ] }, "86": { "input": "level", "output": "Stufe", "possible_translations": [ "auf gleichem Niveau", "Stufe", "empor steigen", "auf gleicher Höhe", "Level", "Niveau", "Wasserwaage", "eben", "Grad", "konstant", "Etage", "auf gleicher Stufe", "ebnen" ] }, "87": { "input": "success", "output": "Erfolg", "possible_translations": [ "Erfolg" ] }, "88": { "input": "route", "output": "Route", "possible_translations": [ "Straße", "Route", "Weg", "Pfad" ] }, "89": { "input": "member", "output": "Glied", "possible_translations": [ "Glied", "Mitglied" ] }, "90": { "input": "battle", "output": "Schlacht", "possible_translations": [ "Schlacht", "bekriegen", "kämpfen", "bekämpfen", "Kampf" ] }, "91": { "input": "addition", "output": "Zufügung", "possible_translations": [ "Hinzufügung", "Zusatz", "Addition", "Zufügung" ] }, "92": { "input": "air", "output": "Luft", "possible_translations": [ "Luft", "ausstrahlen", "Arie", "lüften" ] }, "93": { "input": "road", "output": "Straße", "possible_translations": [ "Route", "Straße", "Weg", "Straßen" ] }, "94": { "input": "range", "output": "Übungsplatz", "possible_translations": [ "Auswahl", "Entfernung", "Strecke", "Abstand", "Weide", "Gebirge", "Reichweite", "Übungsplatz", "Sortiment", "Spanne", "Gebirgszug", "Schießstand", "Umfang", "Palette", "Gebirgskette", "Größenordnung", "Interval", "Zielmenge", "Bereich", "Weite", "Wertevorrat", "Herd" ] }, "95": { "input": "age", "output": "Alter", "possible_translations": [ "Lebenszeit", "altern lassen", "vergreisen", "Generation", "Periode", "Epoche", "Alter", "Ära", "Zeit", "Volljährigkeit", "altern", "reifen", "Zeitalter" ] }, "96": { "input": "race", "output": "Rasse", "possible_translations": [ "Geschlecht", "Rennen", "rasen", "Rasse" ] }, "97": { "input": "body", "output": "Körper", "possible_translations": [ "Körperschaft", "Kadaver", "Karosse", "Korpus", "Karosserie", "Rumpf", "Körper", "Torso", "Leib", "Leiche", "Leichnam" ] }, "98": { "input": "present", "output": "Gegenwart", "possible_translations": [ "vorlegen", "präsentieren", "gegenwärtig", "anwesend", "Jetzt", "jetzig", "Gegenwart" ] }, "99": { "input": "action", "output": "Action", "possible_translations": [ "Aktion", "Funktion", "Bewegung", "Handlung", "Klage", "Action", "Kampf", "Mechanismus" ] }, "100": { "input": "population", "output": "Bevölkerung", "possible_translations": [ "Bevölkerungszahl", "Bevölkerung", "Population", "Einwohnerzahl" ] }, "101": { "input": "campaign", "output": "Kampagne", "possible_translations": [ "Feldzug", "sich einsetzen", "Heereszug", "Kampagne" ] }, "102": { "input": "stage", "output": "Bühne", "possible_translations": [ "Brettl", "Stufe", "Bühne", "inszenieren" ] }, "103": { "input": "station", "output": "Bahnhof", "possible_translations": [ "Station", "Bahnhof" ] }, "104": { "input": "site", "output": "Webseite", "possible_translations": [ "Webpräsenz", "Webseite", "Website", "Standort" ] }, "105": { "input": "law", "output": "Gesetz", "possible_translations": [ "Gesetz", "Recht" ] }, "106": { "input": "night", "output": "Nacht", "possible_translations": [ "Übernachtung", "Nacht", "Nacht!", "Dunkelheit", "Abend" ] }, "107": { "input": "construction", "output": "Bau", "possible_translations": [ "Satzbau", "Aufbau", "Bau", "Bauwerk", "Bauwesen", "Konstruktion" ] }, "108": { "input": "damage", "output": "Schaden", "possible_translations": [ "Schaden", "beschädigen" ] }, "109": { "input": "case", "output": "Fall", "possible_translations": [ "Gehäuse", "Prozess", "Hülle", "auskundschaften", "ausbaldowern", "Koffer", "Rechtssache", "Kiste", "einpacken", "Schriftkasten", "Fall", "Vitrine", "Behälter", "Kasten" ] }, "110": { "input": "event", "output": "Ereignis", "possible_translations": [ "Ereignis" ] }, "111": { "input": "scene", "output": "Szene", "possible_translations": [ "Szene" ] }, "112": { "input": "front", "output": "Front", "possible_translations": [ "etwas vormachen", "Front", "etwas vorspielen", "Frontseite", "Frontlinie", "fingieren", "Frontmann", "Vorderseite", "Wetterfront" ] }, "113": { "input": "ground", "output": "Erde", "possible_translations": [ "Masseverbindung", "Grund", "Masseleitung", "Land", "Erdboden", "Startverbot erteilen", "Boden", "Erde", "gemahlen", "Bezugspotenzial", "Massepotenzial", "erden", "Hausarrest geben", "Hintergrund", "Erdung", "Erdreich", "Masse", "Grundfeste" ] }, "114": { "input": "field", "output": "Feld", "possible_translations": [ "Spielfeld", "Bereich", "Gebiet", "Platz", "Körper", "Feld", "Lagerstätte" ] }, "115": { "input": "region", "output": "Gegend", "possible_translations": [ "Gegend", "Raum", "Region" ] }, "116": { "input": "office", "output": "Amt", "possible_translations": [ "Dienst", "Büro", "Amt" ] }, "117": { "input": "example", "output": "Beispiel", "possible_translations": [ "Vorbild", "Beispiel", "Exempel" ] }, "118": { "input": "wife", "output": "Ehefrau", "possible_translations": [ "Eheweib", "Gattin", "Weib", "Ehefrau", "Frau", "Gemahlin" ] }, "119": { "input": "army", "output": "Heeresamt", "possible_translations": [ "Heeresamt", "Armee", "Landstreitkräfte", "Heer" ] }, "120": { "input": "mother", "output": "Mutter", "possible_translations": [ "Mutter", "bemuttern" ] }, "121": { "input": "project", "output": "Projekt", "possible_translations": [ "ausstrahlen", "voraussagen", "vorstehen", "überstehen", "ausfahren", "vorausberechnen", "herausragen", "hervorragen", "darstellen", "projizieren", "ragen", "präsentieren", "vorspringen", "Projekt", "erwarten", "projektieren", "werfen", "planen; hochrechnen", "vorhersagen" ] }, "122": { "input": "rest", "output": "Ruhe", "possible_translations": [ "Ruhe", "Rest", "Pausenzeichen", "Erholung", "Lehne", "Stillstand", "Hilfsqueue", "ruhen", "Pause" ] }, "123": { "input": "highway", "output": "Hauptstraße", "possible_translations": [ "Hauptstraße" ] }, "124": { "input": "training", "output": "Ausbildung", "possible_translations": [ "Ausbildung", "Training" ] }, "125": { "input": "rock", "output": "Fels", "possible_translations": [ "Klunker", "aufmischen", "schockieren", "wiegen", "Rock", "schaukeln", "Kandiszucker", "schwanken", "Gestein", "Schäre", "Felsbrocken", "Felsen", "Zuckerstange", "Findling", "auwühlen", "Felsblock", "stampfen", "Klippe", "Fels", "rocken", "Fels in der Brandung" ] }, "126": { "input": "shot", "output": "Wurf", "possible_translations": [ "Shot", "Schuss", "Spritze", "Aufnahme", "Wurf" ] }, "127": { "input": "process", "output": "Prozess", "possible_translations": [ "verarbeiten", "Prozess" ] }, "128": { "input": "command", "output": "Befehl", "possible_translations": [ "Kommando", "Befehl", "befehlen", "beherrschen", "kommandieren" ] }, "129": { "input": "month", "output": "Monat", "possible_translations": [ "Monat" ] }, "130": { "input": "crew", "output": "Haufen", "possible_translations": [ "Haufen", "Mannschaft", "Besatzung", "Stab", "Kolonne" ] }, "131": { "input": "studio", "output": "Studio", "possible_translations": [ "Studio", "Atelier" ] }, "132": { "input": "director", "output": "Direktor", "possible_translations": [ "Regisseurin", "Direktorin", "Regisseur", "Direktor" ] }, "133": { "input": "hurricane", "output": "Orkan", "possible_translations": [ "Hurrikane", "Hurrikan", "Orkan" ] }, "134": { "input": "change", "output": "Rückgeld", "possible_translations": [ "Veränderung", "Wechselgeld", "umsteigen", "Rückgeld", "sich ändern", "wechseln", "sich wandeln", "verändern", "ändern", "sich umziehen", "sich verändern", "verwandeln", "auswechseln", "sich umkleiden", "Änderung", "Wandel" ] }, "135": { "input": "appearance", "output": "Aussehen", "possible_translations": [ "Aussehen", "Auftritt", "Erscheinen" ] }, "136": { "input": "goal", "output": "Tor", "possible_translations": [ "Ziel", "Tor" ] }, "137": { "input": "relationship", "output": "Beziehung", "possible_translations": [ "Beziehung", "Verwandtschaft" ] }, "138": { "input": "court", "output": "Gericht", "possible_translations": [ "den Hof machen", "Gericht", "Hof", "werben", "Hofstaat" ] }, "139": { "input": "chart", "output": "Karte", "possible_translations": [ "Karte", "Schaubild", "zeichnen", "Diagramm" ] }, "140": { "input": "church", "output": "Kirche", "possible_translations": [ "Gottesdienst", "Kirche", "Messe" ] }, "141": { "input": "attempt", "output": "Anschlag", "possible_translations": [ "Anschlag", "Bestrebung", "Bestreben", "Attentat", "versuchen", "Versuch" ] }, "142": { "input": "recording", "output": "Aufnahme", "possible_translations": [ "Aufnahme" ] }, "143": { "input": "sound", "output": "Sonde", "possible_translations": [ "erklingen", "klingen", "Schall", "Sonde", "Sund", "Klang", "gesund", "Laut", "sondieren" ] }, "144": { "input": "cast", "output": "Cast", "possible_translations": [ "Besetzung", "Gipsverband", "Ensemble", "Cast", "hinwerfen", "werfen", "gießen", "wegwerfen", "Gips" ] }, "145": { "input": "base", "output": "Basis", "possible_translations": [ "Basis", "basieren", "Base", "Grundlage", "Kaserne" ] }, "146": { "input": "interest", "output": "Interesse", "possible_translations": [ "Interesse", "interessieren", "Zins" ] }, "147": { "input": "term", "output": "Klausel", "possible_translations": [ "Bezeichnung", "Klausel", "Terminus", "Begriff", "Trimester", "Frist", "Term" ] }, "148": { "input": "post", "output": "Stelle", "possible_translations": [ "Pfosten", "Stelle", "Posten", "Post", "schicken", "Beitrag" ] }, "149": { "input": "art", "output": "Kunstwerk", "possible_translations": [ "Kunst", "Kunstwerk" ] }, "150": { "input": "future", "output": "Futur", "possible_translations": [ "zukünftig", "Futur", "Zukunft" ] }, "151": { "input": "league", "output": "Liga", "possible_translations": [ "Leuge", "Wegstunde", "Liga", "Bund", "Meile" ] }, "152": { "input": "review", "output": "Rezension", "possible_translations": [ "Durchsicht", "Rezension", "Kritik", "Nachprüfung", "Überprüfung" ] }, "153": { "input": "section", "output": "Abschnitt", "possible_translations": [ "Abschnitt", "Stück", "Teil", "Paragraf" ] }, "154": { "input": "evidence", "output": "Beweismittel", "possible_translations": [ "Beweismittel", "Beweis", "Indiz" ] }, "155": { "input": "brother", "output": "Bruder", "possible_translations": [ "Bruder" ] }, "156": { "input": "football", "output": "Fußball", "possible_translations": [ "Fussball", "Fußball" ] }, "157": { "input": "election", "output": "Wahl", "possible_translations": [ "Wahl" ] }, "158": { "input": "novel", "output": "Roman", "possible_translations": [ "neu", "Roman", "neuartig" ] }, "159": { "input": "coast", "output": "Küste", "possible_translations": [ "Ufer", "Strand", "Küstenland", "Küste" ] }, "160": { "input": "person", "output": "Person", "possible_translations": [ "Person", "Körper" ] }, "161": { "input": "sea", "output": "Meer", "possible_translations": [ "Meer", "See" ] }, "162": { "input": "gun", "output": "Geschütz", "possible_translations": [ "Pistole", "Gewehr", "Geschütz", "Kanone" ] }, "163": { "input": "hand", "output": "Hand", "possible_translations": [ "Seite", "Handvoll", "Blatt", "geleiten", "reichen", "Handlanger", "Handschrift", "Handgriff", "Zeiger", "Hand" ] }, "164": { "input": "study", "output": "Studie", "possible_translations": [ "studieren", "lernen", "Arbeitszimmer", "Studie", "Studium" ] }, "165": { "input": "response", "output": "Antwort", "possible_translations": [ "Antwort" ] }, "166": { "input": "star", "output": "Sternchen", "possible_translations": [ "Sternchen", "Star", "Stern", "Promi", "Prominente", "Prominenter" ] }, "167": { "input": "decision", "output": "Entscheidung", "possible_translations": [ "Entscheidung", "Beschluss" ] }, "168": { "input": "magazine", "output": "Magazin", "possible_translations": [ "Magazin", "Munitionslager", "Journal", "Zeitschrift" ] }, "169": { "input": "debut", "output": "Debüt", "possible_translations": [ "Debüt" ] }, "170": { "input": "program", "output": "Programm", "possible_translations": [ "Sendung", "programmieren", "Programm" ] }, "171": { "input": "score", "output": "Partitur", "possible_translations": [ "Spielstand", "anritzen", "Partitur", "schießen", "Spielergebnis", "landen", "machen", "punkten", "erzielen", "treffen" ] }, "172": { "input": "money", "output": "Geld", "possible_translations": [ "Reichtum", "Bargeld", "Vermögen", "Geld" ] }, "173": { "input": "surface", "output": "Oberfläche", "possible_translations": [ "Oberfläche" ] }, "174": { "input": "turn", "output": "Drehung", "possible_translations": [ "Windung", "sich verfärben", "wenden", "biegen", "sich drehen", "sich wenden", "an der Reihe sein", "Drehung", "Doppelschlag", "Zug", "paraphrased: take turns = sich abwechseln", "drehen", "werden", "dran sein", "abbiegen", "drechseln" ] }, "175": { "input": "community", "output": "Gemeinschaft", "possible_translations": [ "Community", "Gesellschaft", "Gemeinde", "Gemeinschaft" ] }, "176": { "input": "length", "output": "Länge", "possible_translations": [ "Länge", "Längenmaß", "Pferdelänge" ] }, "177": { "input": "bridge", "output": "Brücke", "possible_translations": [ "Bridge", "überwechseln", "Nasenrücken", "überbrücken", "Steg", "Brücke" ] }, "178": { "input": "plan", "output": "Plan", "possible_translations": [ "Plan", "planen", "anlegen", "Grundriss", "Schema", "vorhaben" ] }, "179": { "input": "center", "output": "Zentrum", "possible_translations": [ "Zentrum", "Mittelpunkt", "konzenterieren", "sammeln", "ansammeln", "zentrieren", "Mitte", "ausmitteln", "Stürmer", "Zenterspieler", "konzentrieren", "zenterieren", "Drehpunkt" ] }, "180": { "input": "business", "output": "Geschäft", "possible_translations": [ "Angelegenheit", "Unternehmen", "Geschäft" ] }, "181": { "input": "pressure", "output": "Druck", "possible_translations": [ "Druck" ] }, "182": { "input": "percent", "output": "Prozent", "possible_translations": [ "Prozent" ] }, "183": { "input": "speed", "output": "Filmempfindlichkeit", "possible_translations": [ "Speed", "Geschwindigkeit", "Pep", "Schnelligkeit", "Filmempfindlichkeit", "rasen" ] }, "184": { "input": "president", "output": "Präsident", "possible_translations": [ "Präsident" ] }, "185": { "input": "media", "output": "Medien", "possible_translations": [ "Medien" ] }, "186": { "input": "summer", "output": "Sommer", "possible_translations": [ "Sommer" ] }, "187": { "input": "material", "output": "Material", "possible_translations": [ "Stoff", "Rohstoff", "Material", "materiell" ] }, "188": { "input": "cut", "output": "Schnitt", "possible_translations": [ "einschneiden", "geschnitten", "schneiden", "klappe", "geschliffen", "beschneiden", "Schnitt", "trennen", "schwänzen" ] }, "189": { "input": "writer", "output": "Schriftsteller", "possible_translations": [ "Schriftstellerin", "Autor", "Schreiberin", "Schriftsteller", "Schreiber", "Autorin" ] }, "190": { "input": "date", "output": "Datum", "possible_translations": [ "Ende", "datieren", "Verabredung", "Stelldichein", "Date", "Datum", "Treffen", "Zeitpunkt", "daten", "Zeit", "ausgehen", "Dattel", "Rendezvous" ] }, "191": { "input": "influence", "output": "Einfluss", "possible_translations": [ "Beeinflussung", "Einfluss", "Beeinflusser", "beeinflussen" ] }, "192": { "input": "fleet", "output": "Flotte", "possible_translations": [ "Flotte" ] }, "193": { "input": "size", "output": "Größe", "possible_translations": [ "Kleidergröße", "Konfektionsgröße", "Größe" ] }, "194": { "input": "structure", "output": "Struktur", "possible_translations": [ "Struktur", "strukturieren" ] }, "195": { "input": "fact", "output": "Faktum", "possible_translations": [ "Faktum", "Fakt", "Tatsache" ] }, "196": { "input": "past", "output": "Vergangenheit", "possible_translations": [ "vergangen", "Vergangenheit", "Präteritum", "vorbei" ] }, "197": { "input": "type", "output": "Typ", "possible_translations": [ "Typ", "tippen", "Typus", "Letter", "Type", "Art" ] }, "198": { "input": "daughter", "output": "Tochter", "possible_translations": [ "Tochter" ] }, "199": { "input": "car", "output": "Auto", "possible_translations": [ "Automobil", "Auto", "Wagon", "Wagen", "PKW", "Kabine" ] }, "200": { "input": "food", "output": "Nahrung", "possible_translations": [ "Nahrung", "Lebensmittel", "Essen" ] }, "201": { "input": "room", "output": "Raum", "possible_translations": [ "Zimmer", "Raum", "Platz" ] }, "202": { "input": "movement", "output": "Bewegung", "possible_translations": [ "Bewegung", "Satz" ] }, "203": { "input": "cost", "output": "Kosten", "possible_translations": [ "Kosten", "kosten", "Verlust", "Ausgaben" ] }, "204": { "input": "river", "output": "Strom", "possible_translations": [ "Fluss", "Strom" ] }, "205": { "input": "contract", "output": "Vertrag", "possible_translations": [ "Vertragsrecht", "Recht der vertraglichen Schuldverhältnisse", "zusammenziehen", "kontrahieren", "Vertrag" ] }, "206": { "input": "view", "output": "Sicht", "possible_translations": [ "View", "Anblick", "anschauen", "Sicht", "Aussicht", "Ansicht", "sehen" ] }, "207": { "input": "language", "output": "Sprache", "possible_translations": [ "Sprachen", "Sprache", "Jargon" ] }, "208": { "input": "self", "output": "Selbst", "possible_translations": [ "Selbst" ] }, "209": { "input": "course", "output": "Kurs", "possible_translations": [ "Strecke", "Kurs", "Lauf", "fließen", "verfolgen", "Bahn", "Gang" ] }, "210": { "input": "experience", "output": "Erlebnis", "possible_translations": [ "Erlebnis", "Praxis", "Erfahrung", "erleben", "erfahren" ] }, "211": { "input": "producer", "output": "Produzent", "possible_translations": [ "Produzent", "Hersteller" ] }, "212": { "input": "research", "output": "Forschung", "possible_translations": [ "recherchieren", "Forschungsarbeit", "forschen", "Untersuchung", "Forschung", "erforschen" ] }, "213": { "input": "radio", "output": "Radio", "possible_translations": [ "Hörfunk", "Rundfunkgerät", "Funkgerät", "Funksender", "Rundfunk", "Radio", "Rundfunkempfänger", "Rundfunksender", "Radiosender", "Rundfunkempfangsgerät", "Radioempfänger", "Funkempfänger", "Funk" ] }, "214": { "input": "space", "output": "Raum", "possible_translations": [ "Weltall", "Leerschritt", "Leerstelle", "All", "Freiraum", "Zwischenraum", "Platz", "Weltraum", "Raum", "Leerzeichen" ] }, "215": { "input": "feature", "output": "Besonderheit", "possible_translations": [ "in der Hauptrolle mitspielen", "besonders herausstellen", "Funktion", "Eigenschaft", "Eigentümlichkeit", "aufweisen", "darbieten", "bieten", "Feature", "Charakteristikum", "Besonderheit", "Merkmal", "Feuilleton", "Sonderbeitrag" ] }, "216": { "input": "division", "output": "Teilung", "possible_translations": [ "Teilung", "Division", "Teil", "Abteilung" ] }, "217": { "input": "effect", "output": "Effekt", "possible_translations": [ "bewirken", "Auswirkung", "Effekt", "Wirkung" ] }, "218": { "input": "leader", "output": "Leittier", "possible_translations": [ "Regenrinne", "Führer", "Leiter", "Leitartikel", "Kopf", "Führerin", "Hauptmann", "Anführer", "Anführerin", "Leittier" ] }, "219": { "input": "woman", "output": "Frau", "possible_translations": [ "Frau", "Weib" ] }, "220": { "input": "voice", "output": "Stimme", "possible_translations": [ "Diathese", "Genus verbi", "Stimme" ] }, "221": { "input": "face", "output": "Gesicht", "possible_translations": [ "etwas anlehnen", "Gesicht", "Fläche", "Facette", "sich ausrichten", "stellen", "Visage", "Antlitz", "Angesicht", "Gesichtsausdruck" ] }, "222": { "input": "gold", "output": "Goldmünze", "possible_translations": [ "golden", "goldfarben", "gülden", "Goldmünze", "Gold", "Goldmedaille" ] }, "223": { "input": "increase", "output": "Ansteigen", "possible_translations": [ "Erhöhung", "Steigerung", "Vergrößerung", "Zunahme", "Steigen", "Ansteigen", "Vergrößern", "Anstieg", "Steigern", "Wachsen", "Wachstum", "Anwachsen" ] }, "224": { "input": "friend", "output": "Freund", "possible_translations": [ "Freund", "Freundchen", "sich anfreunden", "Kameradin", "Kumpel", "Freundin", "Bekannter", "Kamerad", "Bekannte", "Liebster", "Kumpelin", "Liebste" ] }, "225": { "input": "location", "output": "Lage", "possible_translations": [ "Platz", "Lage", "Ort" ] }, "226": { "input": "status", "output": "Status", "possible_translations": [ "Status", "Stand" ] }, "227": { "input": "child", "output": "Kind", "possible_translations": [ "Kind" ] }, "228": { "input": "report", "output": "Bericht", "possible_translations": [ "anzeigen", "verzeigen", "Mitteilung", "Bericht", "sich melden", "melden", "berichten", "Reportage", "Meldung" ] }, "229": { "input": "village", "output": "Dorf", "possible_translations": [ "Dorf", "Dörfer" ] }, "230": { "input": "manager", "output": "Direktor", "possible_translations": [ "Manager", "Direktor" ] }, "231": { "input": "majority", "output": "Erwachsenenalter", "possible_translations": [ "Majorität", "Erwachsenenalter", "Mehrheit" ] }, "232": { "input": "cause", "output": "Sache", "possible_translations": [ "Grund", "Sache", "Ursache", "auslösen", "verursachen", "Anlass" ] }, "233": { "input": "act", "output": "Akt", "possible_translations": [ "Verordnung", "auswirken", "fungieren", "Handlung", "spielen", "Akt", "agieren", "Rechtsgeschäft", "tun", "Tat", "machen", "benehmen", "handeln", "Spiel", "wirken", "Akte", "Gesetz" ] }, "234": { "input": "minute", "output": "Minute", "possible_translations": [ "protokollieren", "winzig", "aufzeichnen", "Moment", "Minute" ] }, "235": { "input": "meeting", "output": "Versammlung", "possible_translations": [ "Beratung", "Versammlung", "Treffen", "Teilnehmer", "Sitzung", "Treffpunkt", "Besprechung", "Treffen ; Sitzung", "Zusammenkunft" ] }, "236": { "input": "park", "output": "Park", "possible_translations": [ "Park", "parken" ] }, "237": { "input": "nature", "output": "Natur", "possible_translations": [ "Natur" ] }, "238": { "input": "flight", "output": "Flug", "possible_translations": [ "Flucht", "Flug", "Treppenlauf" ] }, "239": { "input": "information", "output": "Information", "possible_translations": [ "Auskunft", "Information" ] }, "240": { "input": "fight", "output": "Kampf", "possible_translations": [ "Schlacht", "Prügelei", "Kampfgeist", "kämpfen", "streiten", "Streit", "Keilerei", "fechten", "bekämpfen", "Kampf" ] }, "241": { "input": "defeat", "output": "Niederlage", "possible_translations": [ "schlagen", "niederringen", "besiegen", "Niederlage" ] }, "242": { "input": "singer", "output": "Sänger", "possible_translations": [ "Sängerin", "Sänger" ] }, "243": { "input": "need", "output": "Notwendigkeit", "possible_translations": [ "brauchen", "Bedürfnis", "Notwendigkeit", "Bedarf", "benötigen" ] }, "244": { "input": "industry", "output": "Branche", "possible_translations": [ "Industrie", "Bestreben", "Branche" ] }, "245": { "input": "guitar", "output": "Gitarre", "possible_translations": [ "Gitarre" ] }, "246": { "input": "interview", "output": "Vorstellungsgespräch", "possible_translations": [ "interviewen", "Vorstellungsgespräch", "Interview" ] }, "247": { "input": "hour", "output": "Zeit", "possible_translations": [ "Stunde", "Uhr", "Zeit" ] }, "248": { "input": "audience", "output": "Publikum", "possible_translations": [ "Audienz", "Publikum", "Zuschauer" ] }, "249": { "input": "education", "output": "Bildung", "possible_translations": [ "Erziehung", "Schulung", "Bildung", "Ausbildung", "Aufklärung", "Unterricht" ] }, "250": { "input": "attention", "output": "Aufmerksamkeit", "possible_translations": [ "Beachtung", "Achtung", "Aufmerksamkeit" ] }, "251": { "input": "operation", "output": "Betrieb", "possible_translations": [ "Unternehmen", "Aktion", "Betrieb", "Operation" ] }, "252": { "input": "officer", "output": "Offizier", "possible_translations": [ "Beamter", "Funktionär", "Offizier" ] }, "253": { "input": "sister", "output": "Schwester", "possible_translations": [ "Schwester", "Krankenschwester" ] }, "254": { "input": "ability", "output": "Fähigkeit", "possible_translations": [ "Fähigkeit" ] }, "255": { "input": "depression", "output": "Depression", "possible_translations": [ "Depression" ] }, "256": { "input": "deal", "output": "Pakt", "possible_translations": [ "zuteilen", "Handel", "verteilen", "umgehen", "behandeln", "Abkommen", "Portion", "dealen", "Menge", "Abschluss", "geben", "abhandeln", "Anteil", "erteilen", "Abmachung", "Pakt", "Planke", "austeilen", "handeln", "Bohle", "Deal" ] }, "257": { "input": "ball", "output": "Kugel", "possible_translations": [ "Ei", "Ball", "Knäuel", "Mist", "Kugel", "Fußballen" ] }, "258": { "input": "subject", "output": "Untertan", "possible_translations": [ "Schulfach", "Sache", "Subjekt", "Unterrichtsfach", "Studienfach", "Lehrfach", "Untertanin", "Fach", "unterwerfen", "Untertan", "Thema", "Gegenstand", "Betreff", "Sujet" ] }, "259": { "input": "commander", "output": "Befehlshaber", "possible_translations": [ "Befehlshaber", "Kommandeur" ] }, "260": { "input": "rate", "output": "Rate", "possible_translations": [ "Verhältnis", "Rate" ] }, "261": { "input": "produce", "output": "Obst und Gemüse", "possible_translations": [ "vorlegen", "Obst und Gemüse", "produzieren", "Produkt", "herstellen" ] }, "262": { "input": "competition", "output": "Konkurrenz", "possible_translations": [ "Konkurrenz", "Wettbewerb" ] }, "263": { "input": "unit", "output": "Einheit", "possible_translations": [ "Einheit" ] }, "264": { "input": "artist", "output": "Künstler", "possible_translations": [ "Künstler", "Künstlerin" ] }, "265": { "input": "model", "output": "Modell", "possible_translations": [ "Model", "Modell-", "modellieren", "Vorbild", "Modell", "Fotomodell", "Mannequin" ] }, "266": { "input": "theme", "output": "Thema", "possible_translations": [ "Thema", "Stamm", "Wortstamm", "Motiv" ] }, "267": { "input": "wind", "output": "Wind", "possible_translations": [ "aufziehen", "Wind", "sich winden", "sich schlängeln", "blasen", "aufwickeln" ] }, "268": { "input": "pass", "output": "Pass", "possible_translations": [ "Pass", "vergehen", "vorbeigehen", "reichen", "passieren" ] }, "269": { "input": "plot", "output": "Handlung", "possible_translations": [ "planen", "plotten", "Handlung", "ausarbeiten", "Komplott", "entwerfen" ] }, "270": { "input": "access", "output": "Zugang", "possible_translations": [ "Zutritt", "Zugang haben", "Zugriff", "Ausbruch", "Anfall", "Gefühlsausbruch", "Eingang", "Zugang", "Umgangsrecht" ] }, "271": { "input": "letter", "output": "Buchstabe", "possible_translations": [ "Buchstabe", "Brief" ] }, "272": { "input": "practice", "output": "Praxis", "possible_translations": [ "Übung", "Praktizieren", "ausüben", "üben", "Ausüben", "Ausübung", "Üben", "Praxis", "praktizieren" ] }, "273": { "input": "capital", "output": "Kapital", "possible_translations": [ "Großbuchstabe", "Kapital-", "Kapitell", "großartig", "Groß-", "Haupt-", "Kapital" ] }, "274": { "input": "word", "output": "Wort", "possible_translations": [ "Ehrenwort", "Wort" ] }, "275": { "input": "edition", "output": "Ausgabe", "possible_translations": [ "Ausgabe", "Auflage" ] }, "276": { "input": "script", "output": "Schrift", "possible_translations": [ "Schrift", "Skriptum", "Drehbuch", "Handschrift", "Skript" ] }, "277": { "input": "health", "output": "Gesundheit", "possible_translations": [ "Gesundheit" ] }, "278": { "input": "movie", "output": "Film", "possible_translations": [ "Film", "Spielfilm" ] }, "279": { "input": "network", "output": "Netzwerk", "possible_translations": [ "vernetzen", "sich vernetzen", "Netzwerk" ] }, "280": { "input": "board", "output": "Tafel", "possible_translations": [ "beherbergen", "Gremium", "Tafel", "entern", "einsteigen", "Schlag", "Pult", "an Bord gehen", "Brett" ] }, "281": { "input": "effort", "output": "Anstrengung", "possible_translations": [ "Aufwand", "Anstrengung" ] }, "282": { "input": "press", "output": "Presse", "possible_translations": [ "drängen", "drücken", "Presse", "Druckerpresse" ] }, "283": { "input": "marriage", "output": "Ehe", "possible_translations": [ "Verheiratung", "Ehe", "Hochzeit", "Heirat" ] }, "284": { "input": "college", "output": "Berufskolleg", "possible_translations": [ "Berufsfachschule", "Fachhochschule", "Berufskolleg", "Fachschule" ] }, "285": { "input": "mass", "output": "Masse", "possible_translations": [ "Messe", "Masse" ] }, "286": { "input": "culture", "output": "Kultur", "possible_translations": [ "Kultur" ] }, "287": { "input": "cyclone", "output": "Zyklon", "possible_translations": [ "Zyklone", "Zyklon" ] }, "288": { "input": "variety", "output": "Vielfältigkeit", "possible_translations": [ "Sorte", "Vielfältigkeit" ] }, "289": { "input": "morning", "output": "Morgen", "possible_translations": [ "Morgen", "Vormittag" ] }, "290": { "input": "metal", "output": "Metall", "possible_translations": [ "Metall" ] }, "291": { "input": "market", "output": "Markt", "possible_translations": [ "Markt", "Markt-", "vermarkten" ] }, "292": { "input": "coach", "output": "Reisebus", "possible_translations": [ "trainieren", "Bus", "Kutsche", "ausbilden", "Trainer", "Wagen", "Überlandbus", "Reisebus" ] }, "293": { "input": "science", "output": "Wissenschaft", "possible_translations": [ "Wissenschaft", "Kenntnis", "Erfahrung", "Wissen" ] }, "294": { "input": "quality", "output": "Qualität", "possible_translations": [ "Qualität", "Eigenschaft", "Qualitäts-", "hochklassig", "hochwertig", "erstklassig" ] }, "295": { "input": "fall", "output": "Fall", "possible_translations": [ "werden", "Untergang", "fallen", "Fall", "Absturz" ] }, "296": { "input": "presence", "output": "Anwesenheit", "possible_translations": [ "Anwesenheit" ] }, "297": { "input": "oil", "output": "Öl", "possible_translations": [ "einölen", "Öl", "mit Öl bestreichen", "Erdöl", "Petroleum", "ölen" ] }, "298": { "input": "direction", "output": "Richtung", "possible_translations": [ "Regie", "Führung", "Richtung" ] }, "299": { "input": "break", "output": "Break", "possible_translations": [ "knacken", "Öffnung", "aufbrechen", "Bruch", "pausieren", "Break", "dämmern", "Spalt", "anbrechen", "brechen", "zerbrechen", "kaputtgehen", "Pause", "kaputtmachen" ] }, "300": { "input": "rule", "output": "Regel", "possible_translations": [ "regieren", "beherrschen", "Regel" ] }, "301": { "input": "enemy", "output": "Feind", "possible_translations": [ "Feind", "feindlich", "Gegner" ] }, "302": { "input": "yard", "output": "Hof", "possible_translations": [ "Hof" ] }, "303": { "input": "concert", "output": "Konzert", "possible_translations": [ "Konzert" ] }, "304": { "input": "engine", "output": "Motor", "possible_translations": [ "Antrieb", "Getriebe", "Lokomotive", "Triebwerk", "Lok", "Motor" ] }, "305": { "input": "traffic", "output": "Verkehr", "possible_translations": [ "Personenverkehr", "Verkehr", "Warenverkehr", "Datenverkehr" ] }, "306": { "input": "advance", "output": "Vorschuss", "possible_translations": [ "befördern", "Vorschuss", "Anzahlung", "erhöhen", "vorrücken", "Fortschritt", "erheben" ] }, "307": { "input": "mission", "output": "Mission", "possible_translations": [ "Auftrag", "Mission" ] }, "308": { "input": "portion", "output": "Teil", "possible_translations": [ "Teil" ] }, "309": { "input": "castle", "output": "Burg", "possible_translations": [ "Festung", "Schloss", "rochieren", "Burg" ] }, "310": { "input": "property", "output": "Eigentum", "possible_translations": [ "Eigentum", "Eigenschaft", "Anwesen", "Grundstück", "Grundbesitz", "Besitz" ] }, "311": { "input": "pair", "output": "Paar", "possible_translations": [ "Paar", "Pärchen" ] }, "312": { "input": "award", "output": "Spruch", "possible_translations": [ "Spruch", "Preis", "Entscheid" ] }, "313": { "input": "impact", "output": "Belastung", "possible_translations": [ "Einfluss", "Einwirkung", "beeinträchtigen", "Stoß", "beeinflussen", "Aufprall", "zusammenstossen", "kollidieren", "Aufschlag", "zusammenpressen", "Belastung", "Beeinflussung", "einwirken", "Einschlag", "Druck", "einschlagen" ] }, "314": { "input": "collection", "output": "Sammlung", "possible_translations": [ "Sammeln", "Sammlung", "Einsammlung", "Kollektion", "Menge", "Abholung" ] }, "315": { "input": "call", "output": "Ruf", "possible_translations": [ "telefonieren", "Bereitschaftsdienst", "nennen", "herbeirufen", "anbellen", "Lockruf", "Besuch", "antelefonieren", "anbimmeln", "Ruf", "aufringen", "rufen", "durchrufen", "heißen", "Notdienst", "Option", "Anruf", "anrufen", "besuchen", "anläuten", "anklingeln", "Laut" ] }, "316": { "input": "port", "output": "Port", "possible_translations": [ "Port", "Hafen", "Portwein", "Hafenstadt" ] }, "317": { "input": "approach", "output": "Annäherung", "possible_translations": [ "sich nähern", "Anflug", "Annäherung", "sich annähern" ] }, "318": { "input": "situation", "output": "Lage", "possible_translations": [ "Zustand", "Lage", "Ort", "Situation", "Platz", "Stellung" ] }, "319": { "input": "distance", "output": "Distanz", "possible_translations": [ "Entfernung", "Abstand", "entfernen", "Distanz" ] }, "320": { "input": "amount", "output": "Menge", "possible_translations": [ "Menge", "Anzahl", "beträgt", "Betrag" ] }, "321": { "input": "test", "output": "Examen", "possible_translations": [ "Probe", "Prüfung", "Test", "testen", "Examen" ] }, "322": { "input": "inch", "output": "Zoll", "possible_translations": [ "Zoll", "sich zentimeterweise fortbewegen" ] }, "323": { "input": "actor", "output": "Handelnde", "possible_translations": [ "Schauspieler", "Handelnde", "Schauspielerin" ] }, "324": { "input": "dance", "output": "Tanz", "possible_translations": [ "Tanz", "tanzen" ] }, "325": { "input": "today", "output": "Heute", "possible_translations": [ "heute", "Heute", "heutzutage" ] }, "326": { "input": "train", "output": "Zug", "possible_translations": [ "", "Gedankenfolge", "Eisenbahn", "zielen", "üben", "trainieren", "Zug", "lehren" ] }, "327": { "input": "figure", "output": "Abbildung", "possible_translations": [ "Form", "Ziffer", "Figur", "Abbildung", "Gestalt" ] }, "328": { "input": "trial", "output": "Verhör", "possible_translations": [ "Probe", "Prüfung", "Verhör", "Kummer", "Belästigung", "Versuch", "Sorge", "Trialis", "Prozeß" ] }, "329": { "input": "concept", "output": "Begriff", "possible_translations": [ "Konzept", "Begriff" ] }, "330": { "input": "scale", "output": "Skala", "possible_translations": [ "schuppen", "Skala", "Maßstab", "entschuppen", "skalieren", "besteigen", "Ausmaß", "erklimmen", "Schuppenpanzer", "Waage", "Waagschale", "Schuppe", "Tonleiter" ] }, "331": { "input": "society", "output": "Gesellschaft", "possible_translations": [ "Gesellschaft" ] }, "332": { "input": "job", "output": "Job", "possible_translations": [ "Stelle", "Beruf", "Arbeit", "jobben", "Auftrag", "Anstellung", "arbeiten", "Aufgabe", "Job" ] }, "333": { "input": "chief", "output": "Chef", "possible_translations": [ "Chef", "Boss", "hauptsächlich", "Häuptling", "Oberhaupt", "primär" ] }, "334": { "input": "foot", "output": "Fuß", "possible_translations": [ "Fuß", "bezahlen", "Fuss", "Pfote" ] }, "335": { "input": "author", "output": "Autor", "possible_translations": [ "Autorin", "Autor" ] }, "336": { "input": "activity", "output": "Aktivität", "possible_translations": [ "Tätigkeit", "Handlung", "Unternehmung", "Aktivität" ] }, "337": { "input": "policy", "output": "Politik", "possible_translations": [ "Politik", "Police", "Versicherungspolice" ] }, "338": { "input": "cross", "output": "Kreuz", "possible_translations": [ "quer", "bekreuzigen", "gegenüber", "Kreuz", "böse", "kreuzen", "Kreuzung", "verärgert", "Kreuzzeichen", "hintergehen", "ankreuzen", "Flanke", "entgegengesetzt", "konterkarieren", "überqueren" ] }, "339": { "input": "captain", "output": "Stabshauptmann", "possible_translations": [ "Flugkapitän", "Kapitän", "Stabshauptmann", "Kapitän zur See", "Mannschaftskapitän", "Hauptmann" ] }, "340": { "input": "theory", "output": "Theorie", "possible_translations": [ "Theorie" ] }, "341": { "input": "account", "output": "Konto", "possible_translations": [ "Begründung", "Konto", "Rechenschaft", "Bericht" ] }, "342": { "input": "invasion", "output": "Invasion", "possible_translations": [ "Invasion", "Überfall" ] }, "343": { "input": "strength", "output": "Stärke", "possible_translations": [ "Stärke", "Kraft" ] }, "344": { "input": "charge", "output": "Entgelt", "possible_translations": [ "Last", "Entgelt", "Ladung" ] }, "345": { "input": "county", "output": "Landkreis", "possible_translations": [ "Landkreis", "County", "Bezirk", "Grafschaft" ] }, "346": { "input": "screen", "output": "Schirm", "possible_translations": [ "Leinwand", "Schirm", "Bildschirm" ] }, "347": { "input": "wall", "output": "Wand", "possible_translations": [ "Hemnis", "zumauern", "Mauerfuchs", "einmauern", "Wall", "Mauer", "Wand", "Barriere" ] }, "348": { "input": "sense", "output": "Sinn", "possible_translations": [ "Sinn", "Verstand", "Bedeutung", "Gefühl", "wahrnehmen" ] }, "349": { "input": "pilot", "output": "Pilot", "possible_translations": [ "Pilot", "Flugzeugführer", "Flugzeugführerin", "lotsen", "führen", "Lotse" ] }, "350": { "input": "reception", "output": "Rezeption", "possible_translations": [ "Rezeption", "Empfang" ] }, "351": { "input": "winter", "output": "Winter", "possible_translations": [ "Winter" ] }, "352": { "input": "wing", "output": "Flügel", "possible_translations": [ "Schwinge", "Flügel", "improvisieren" ] }, "353": { "input": "focus", "output": "Fokus", "possible_translations": [ "Konzentration", "fokussieren", "Epizentrum", "Fokus", "sich konzentrieren", "Brennpunkt" ] }, "354": { "input": "blood", "output": "Blut", "possible_translations": [ "Blutsbande", "bluten", "Blut" ] }, "355": { "input": "weather", "output": "Wetter", "possible_translations": [ "überstehen", "Wetter" ] }, "356": { "input": "defense", "output": "Verteidigung", "possible_translations": [ "Verteidigung" ] }, "357": { "input": "student", "output": "Student", "possible_translations": [ "Studierender", "Studentin", "Studierende", "Hochschüler", "Student", "Hochschülerin" ] }, "358": { "input": "artillery", "output": "Artillerie", "possible_translations": [ "Artillerie" ] }, "359": { "input": "executive", "output": "Exekutive", "possible_translations": [ "Exekutive", "exekutiv" ] }, "360": { "input": "district", "output": "Bezirk", "possible_translations": [ "Bezirk", "Stadtviertel", "Kreis", "Stadtteil" ] }, "361": { "input": "image", "output": "Bild", "possible_translations": [ "Erscheinungsbild", "Bild", "Image", "Speicherabbild" ] }, "362": { "input": "share", "output": "Aktie", "possible_translations": [ "teilen", "Aktie", "Teil", "Freigabe", "Anteil" ] }, "363": { "input": "border", "output": "Rand", "possible_translations": [ "Streifen", "begrenzen", "säumen", "Gemerke", "Grenze", "Beet", "angrenzen", "Rand" ] }, "364": { "input": "capture", "output": "Fang", "possible_translations": [ "Fang", "Erfassung", "Gefangennahme", "gefangen nehmen", "Festnahme", "fangen", "einfangen" ] }, "365": { "input": "injury", "output": "Verletzung", "possible_translations": [ "Wunde", "Verletzung", "Verwundung" ] }, "366": { "input": "equipment", "output": "Ausrüstung", "possible_translations": [ "Ausrüstung" ] }, "367": { "input": "organization", "output": "Organisation", "possible_translations": [ "Organisation", "Ordnung" ] }, "368": { "input": "stone", "output": "Stein", "possible_translations": [ "Stein", "sich berauschen", "Schmuckstein", "steinern", "steinigen", "Edelstein", "Kern" ] }, "369": { "input": "quarter", "output": "Vierteldollar", "possible_translations": [ "Quartal", "Kwartier", "vierteln", "Vierteljahr", "quartieren", "unterbringen", "einquartieren", "Viertel", "Stadtteil", "Vierteldollar" ] }, "370": { "input": "growth", "output": "Wachstum", "possible_translations": [ "Wachstum", "Geschwulst" ] }, "371": { "input": "box", "output": "Boxhieb", "possible_translations": [ "Boxschlag", "Boxhieb", "Dose", "Box", "boxen", "verpacken", "Loge", "Kiste", "einpacken", "Kasten" ] }, "372": { "input": "husband", "output": "Ehemann", "possible_translations": [ "Gatte", "Gemahl", "Ehemann", "Mann" ] }, "373": { "input": "matter", "output": "Materie", "possible_translations": [ "Stoff", "wichtig sein", "Substanz", "Materie", "etwas ausmachen", "Anlass", "Masse", "Angelegenheit" ] }, "374": { "input": "content", "output": "Inhalt", "possible_translations": [ "zufrieden", "Inhalt" ] }, "375": { "input": "travel", "output": "Reise", "possible_translations": [ "reisen", "sich fortpflanzen", "sich übertragen", "Reise", "bereisen", "Reisen" ] }, "376": { "input": "heart", "output": "Herz", "possible_translations": [ "Kern", "Herzchen", "Herz" ] }, "377": { "input": "tournament", "output": "Turnier", "possible_translations": [ "Turnier" ] }, "378": { "input": "conflict", "output": "Konflikt", "possible_translations": [ "Streit", "Inkompatibilität", "Konflikt" ] }, "379": { "input": "floor", "output": "Decke", "possible_translations": [ "belegen", "Boden", "niederschlagen", "Etage", "Decke", "Plattform", "niederschmettern" ] }, "380": { "input": "reference", "output": "Referenz", "possible_translations": [ "Referenz", "referenzieren", "Quelle" ] }, "381": { "input": "speech", "output": "Rede", "possible_translations": [ "Sprache", "Ansprache", "Rede" ] }, "382": { "input": "territory", "output": "Territorium", "possible_translations": [ "Territorium" ] }, "383": { "input": "camp", "output": "Lager", "possible_translations": [ "zelten", "Lager" ] }, "384": { "input": "value", "output": "Wert", "possible_translations": [ "Werte", "Tonwert", "Wert", "schätzen", "Wichtigkeit", "Notenwert" ] }, "385": { "input": "rainfall", "output": "Niederschlag", "possible_translations": [ "Niederschlag", "Regenfall" ] }, "386": { "input": "championship", "output": "Meisterschaft", "possible_translations": [ "Meisterschaft" ] }, "387": { "input": "treatment", "output": "Behandlung", "possible_translations": [ "Behandlung", "Behandeln" ] }, "388": { "input": "university", "output": "Universität", "possible_translations": [ "Universität", "Hochschule" ] }, "389": { "input": "machine", "output": "Maschine", "possible_translations": [ "Maschine" ] }, "390": { "input": "guest", "output": "Gast", "possible_translations": [ "Gast", "gastieren" ] }, "391": { "input": "problem", "output": "Problem", "possible_translations": [ "Übung", "Problem" ] }, "392": { "input": "reason", "output": "Grund", "possible_translations": [ "Grund", "Intellekt", "Verstand", "Vernunft" ] }, "393": { "input": "horse", "output": "Pferd", "possible_translations": [ "Kavallerie", "Reiterei", "Springer", "Pauschenpferd", "Pferde", "Seitpferd", "Einhufer", "Pferd" ] }, "394": { "input": "governor", "output": "Regler", "possible_translations": [ "Gouverneur", "Regler" ] }, "395": { "input": "soundtrack", "output": "Tonspur", "possible_translations": [ "Tonspur", "Soundtrack" ] }, "396": { "input": "offer", "output": "Angebot", "possible_translations": [ "anbieten", "Antrag", "Angebot", "Vorschlag", "Offerte", "vorschlagen" ] }, "397": { "input": "background", "output": "Hintergrund", "possible_translations": [ "Hintergrund", "Schreibtischhintergrund" ] }, "398": { "input": "degree", "output": "Grad", "possible_translations": [ "Umfang", "Neugrad", "Diplom", "Ausmaß", "akademischer Diplom", "Grad", "Winkelgrad", "Altgrad" ] }, "399": { "input": "railway", "output": "Eisenbahnlinie", "possible_translations": [ "Bahn", "Eisenbahnlinie", "Eisenbahn", "Gleis" ] }, "400": { "input": "authority", "output": "Autorität", "possible_translations": [ "Autorität ; Behörde", "Autorität" ] }, "401": { "input": "birth", "output": "Geburt", "possible_translations": [ "Geburt" ] }, "402": { "input": "vote", "output": "Stimme", "possible_translations": [ "Stimme", "stimmen", "wählen", "Abstimmung", "Votum" ] }, "403": { "input": "filming", "output": "Aufnahme", "possible_translations": [ "Aufnahme" ] }, "404": { "input": "escape", "output": "Flucht", "possible_translations": [ "entgehen", "davonkommen", "Flucht", "ausweichen" ] }, "405": { "input": "capacity", "output": "Kapazität", "possible_translations": [ "Kapazität" ] }, "406": { "input": "basis", "output": "Basis", "possible_translations": [ "Grundlage", "Basis" ] }, "407": { "input": "fiction", "output": "Fiktion", "possible_translations": [ "Fiktion", "Belletristik" ] }, "408": { "input": "sequence", "output": "Folge", "possible_translations": [ "Sequenz", "Reihenfolge", "Folge" ] }, "409": { "input": "weight", "output": "Gewicht", "possible_translations": [ "gewichten", "beschweren", "Gewicht", "Masse" ] }, "410": { "input": "opposition", "output": "Opposition", "possible_translations": [ "Opposition" ] }, "411": { "input": "newspaper", "output": "Zeitungspapier", "possible_translations": [ "Zeitung", "Zeitungspapier" ] }, "412": { "input": "risk", "output": "Risiko", "possible_translations": [ "Risiko", "wagen", "riskieren" ] }, "413": { "input": "care", "output": "Pflege", "possible_translations": [ "pflegen", "Sorge", "Pflege", "sich sorgen", "kümmern", "sich kümmern", "respektieren", "sorgen" ] }, "414": { "input": "agreement", "output": "Vereinbarung", "possible_translations": [ "Zustimmung", "Einigkeit", "Übereinstimmung", "Vereinbarung", "Kongruenz", "Vertrag", "Einvernehmen" ] }, "415": { "input": "contrast", "output": "Kontrast", "possible_translations": [ "Kontrast", "kontrastieren", "gegenüberstellen" ] }, "416": { "input": "failure", "output": "Versager", "possible_translations": [ "Verschlechterung", "Misslingen", "Versagen", "Versagerin", "Versager", "Pleite", "Ausfall", "Misserfolg" ] }, "417": { "input": "nation", "output": "Nation", "possible_translations": [ "Nation" ] }, "418": { "input": "eye", "output": "Auge", "possible_translations": [ "Nadelöhr", "ins Auge fassen", "Trieb", "Öhr", "Knospe", "beäugen", "Öse", "Auge" ] }, "419": { "input": "threat", "output": "Drohung", "possible_translations": [ "Bedrohung", "Drohung" ] }, "420": { "input": "claim", "output": "Anspruch", "possible_translations": [ "beanspruchen", "behaupten", "Mutung", "Behauptung", "Anspruch" ] }, "421": { "input": "supply", "output": "Angebot", "possible_translations": [ "ausrüsten", "liefern", "Vorrat", "Versorgen", "Versorgung", "zur Verfügung stellen", "bereitstellen", "Angebot", "vertreten", "versorgen mit" ] }, "422": { "input": "disease", "output": "Krankheit", "possible_translations": [ "Infektionskrankheit", "Krankheit" ] }, "423": { "input": "drive", "output": "Fahrt", "possible_translations": [ "Auffahrt", "Fahrt", "treiben", "Abschlag", "Trieb", "Weg", "Laufwerk", "fahren", "Antrieb", "schlagen", "Drive", "Zufahrt", "Einfahrt", "antreiben", "einschlagen" ] }, "424": { "input": "draft", "output": "Musterung", "possible_translations": [ "abkommandieren", "auswählen", "einberufen", "zeichnen", "entwerfen", "vom Fass", "Musterung", "Zugluft", "Entwurf", "Tiefgang" ] }, "425": { "input": "bill", "output": "Schnabel", "possible_translations": [ "Schnabel", "Rechnung", "Gesetzesentwurf" ] }, "426": { "input": "tower", "output": "Turm", "possible_translations": [ "der Turm", "Turm" ] }, "427": { "input": "administration", "output": "Verwaltung", "possible_translations": [ "Verwaltung", "Verabreichung" ] }, "428": { "input": "personnel", "output": "Personal", "possible_translations": [ "Personal" ] }, "429": { "input": "expansion", "output": "Expansion", "possible_translations": [ "Expansion" ] }, "430": { "input": "hospital", "output": "Krankenhaus", "possible_translations": [ "Spital", "Krankenhaus" ] }, "431": { "input": "leadership", "output": "Führung", "possible_translations": [ "Kommando", "Führung", "Leitung" ] }, "432": { "input": "ring", "output": "Ring", "possible_translations": [ "Klang", "klingen", "anrufen", "klingeln", "Ring", "läuten" ] }, "433": { "input": "management", "output": "Verwaltung", "possible_translations": [ "Verwaltung", "Regie", "Handhabung", "Management", "Führung", "Leitung" ] }, "434": { "input": "landing", "output": "Treppenabsatz", "possible_translations": [ "Landung", "Anlegeplatz", "Treppenabsatz" ] }, "435": { "input": "data", "output": "Daten", "possible_translations": [ "Daten" ] }, "436": { "input": "choice", "output": "Wahl", "possible_translations": [ "Auswahl", "Wahl", "erlesen" ] }, "437": { "input": "northwest", "output": "Nordwesten", "possible_translations": [ "Nordwesten" ] }, "438": { "input": "silver", "output": "Silber", "possible_translations": [ "Silber", "silbern", "silberfarbig" ] }, "439": { "input": "crossing", "output": "Kreuzung", "possible_translations": [ "Kreuzung" ] }, "440": { "input": "fuel", "output": "Brennstoff", "possible_translations": [ "Treibstoff", "Brennstoff", "betanken", "anheizen", "schüren" ] }, "441": { "input": "contact", "output": "Kontakt", "possible_translations": [ "Kontaktlinse", "kontaktieren", "Verbindung", "Berührung", "berühren", "Kontakt" ] }, "442": { "input": "gas", "output": "Benzin", "possible_translations": [ "vergasen", "tanken", "Blähung", "Gas geben", "Benzin", "Gas", "auftanken" ] }, "443": { "input": "girl", "output": "Frau", "possible_translations": [ "Mädchen", "Mädel", "Frau" ] }, "444": { "input": "split", "output": "Spagat ; to do the splits: Spagat machen", "possible_translations": [ "spalten", "Riss", "Spagat ; to do the splits: Spagat machen", "verteilen", "abhauen", "Spaltung", "Spalt", "aufteilen", "trennen" ] }, "445": { "input": "committee", "output": "Komitee", "possible_translations": [ "Ausschuß", "Komitee" ] }, "446": { "input": "drama", "output": "Drama", "possible_translations": [ "Schauspiel", "Drama" ] }, "447": { "input": "sex", "output": "Sex", "possible_translations": [ "Geschlecht", "Sex", "Sex haben", "Geschlechtsverkehr", "das Geschlecht bestimmen", "sexen" ] }, "448": { "input": "spring", "output": "Sprungfeder", "possible_translations": [ "Sprungfeder", "Frühling", "Feder", "springen", "/ Lenz", "Frühjahr", "Festmacherleine", "Quelle", "Springflut" ] }, "449": { "input": "article", "output": "Artikel", "possible_translations": [ "Paragraph", "Artikel" ] }, "450": { "input": "animal", "output": "Tier", "possible_translations": [ "Unmensch", "Bestie", "Scheusal", "Monster", "Tier", "tierisch" ] }, "451": { "input": "comedy", "output": "Komödie", "possible_translations": [ "Komödie" ] }, "452": { "input": "paper", "output": "Papier", "possible_translations": [ "paper cup: Papierbecher", "indicated by forming compounds with Papier-: paper bag: Papierbeutel", "etc", "Dokument", "Papier" ] }, "453": { "input": "leg", "output": "Bein", "possible_translations": [ "Bein", "Etappe" ] }, "454": { "input": "genus", "output": "Gattung", "possible_translations": [ "Gattung" ] }, "455": { "input": "flag", "output": "Flag", "possible_translations": [ "signalisieren", "kennzeichnen", "ermüden", "Fahne", "erlahmen", "Kennzeichen", "fliesen", "erschlaffen", "Markierung", "Flag", "markiere", "markieren", "Bitschalter", "Flagge", "Schwertlilie", "Fliese", "Standarte", "nachlassen" ] }, "456": { "input": "purpose", "output": "Intention", "possible_translations": [ "Intention", "Thema", "planen", "beabsichtigen", "Grund ; Zweck", "Absicht", "Ziel", "Zweck" ] }, "457": { "input": "security", "output": "Sicherheit", "possible_translations": [ "Sicherheit", "Sicherheitsdienst", "Schutz" ] }, "458": { "input": "infantry", "output": "Infanterie", "possible_translations": [ "Infanterie" ] }, "459": { "input": "spread", "output": "Aufstrich", "possible_translations": [ "verbreiten", "ausbreiten", "beschmieren", "ausstreuen", "verteilen", "auftragen", "Aufstrich", "spreizen", "bestreichen" ] }, "460": { "input": "search", "output": "Suche", "possible_translations": [ "absuchen", "durchsuchen", "suchen", "Suche" ] }, "461": { "input": "incident", "output": "Vorfall", "possible_translations": [ "einfallend", "Ereignis", "Geschehnis", "Begebenheit", "Störfall", "Vorfall" ] }, "462": { "input": "mind", "output": "Verstand", "possible_translations": [ "Gedächtnis", "Lust", "Verlangen", "beachten", "Zurechnungsfähigkeit", "Bewusstsein", "Ansicht", "Genie", "dagegen haben", "Meinung", "Wahrnehmung", "Geist", "Konzentration", "Verstand", "aufpassen", "Gedanken", "Aufmerksamkeit" ] }, "463": { "input": "battalion", "output": "Bataillon", "possible_translations": [ "Bataillon" ] }, "464": { "input": "text", "output": "Text", "possible_translations": [ "simsen", "Text", "SMS" ] }, "465": { "input": "finish", "output": "Ende", "possible_translations": [ "fertigstellen", "Ende", "aufhören", "Lack", "beenden", "enden" ] }, "466": { "input": "critic", "output": "Kritiker", "possible_translations": [ "Gegner", "Kritiker", "Gegnerin", "Kritikerin" ] }, "467": { "input": "creation", "output": "Kreation", "possible_translations": [ "Erstellung", "Kreation", "Schöpfung", "Werk", "Erfindung", "Schaffung" ] }, "468": { "input": "mile", "output": "Meile", "possible_translations": [ "Meile" ] }, "469": { "input": "budget", "output": "Budget", "possible_translations": [ "Etat", "Budget", "Haushalt" ] }, "470": { "input": "tradition", "output": "Tradition", "possible_translations": [ "Urüberlieferung", "Tradition", "Überlieferung" ] }, "471": { "input": "arrival", "output": "Ankunft", "possible_translations": [ "Ankunft" ] }, "472": { "input": "ceremony", "output": "Zeremonie", "possible_translations": [ "Zeremonie" ] }, "473": { "input": "condition", "output": "Verfassung", "possible_translations": [ "Bedingung", "Zustand", "konditionieren", "Verfassung", "Beschaffenheit", "Kondition", "Befinden" ] }, "474": { "input": "thing", "output": "Ding", "possible_translations": [ "Sache", "Ding" ] }, "475": { "input": "color", "output": "Farbe", "possible_translations": [ "erröten", "Fahne", "Hautfarbe", "färben", "ausmalen", "Tinktur", "Flagge", "Farbton", "Farbe" ] }, "476": { "input": "intensity", "output": "Intensität", "possible_translations": [ "Intensität" ] }, "477": { "input": "street", "output": "Straße", "possible_translations": [ "Straße" ] }, "478": { "input": "session", "output": "Sitzung", "possible_translations": [ "Sitzung" ] }, "479": { "input": "wave", "output": "Welle", "possible_translations": [ "Wirbel", "wellen", "Wink", "Welle", "schwenken", "flattern", "wedeln", "ondulieren", "winken", "zuwinken", "Woge", "wogen" ] }, "480": { "input": "piano", "output": "Klavier", "possible_translations": [ "piano", "Piano", "Klavier" ] }, "481": { "input": "criticism", "output": "Kritik", "possible_translations": [ "Kritik" ] }, "482": { "input": "planet", "output": "Planet", "possible_translations": [ "Planet", "Wandelstern" ] }, "483": { "input": "reign", "output": "Herrschaft", "possible_translations": [ "regieren", "Herrschaft", "herrschen", "Regentschaft" ] }, "484": { "input": "murder", "output": "Mord", "possible_translations": [ "mörderisch", "Mord", "umbringen", "ermorden" ] }, "485": { "input": "selection", "output": "Auslese", "possible_translations": [ "Auswahl", "Wahl", "Nominierung", "Anwahl", "Markierung", "Auslese", "Sichtung", "Aussonderung", "Selektion", "Aufruf" ] }, "486": { "input": "computer", "output": "Computer", "possible_translations": [ "Computer", "Rechner" ] }, "487": { "input": "council", "output": "Rat", "possible_translations": [ "Rat" ] }, "488": { "input": "comic", "output": "Comic", "possible_translations": [ "Comic" ] }, "489": { "input": "peace", "output": "Frieden", "possible_translations": [ "Ruhe", "Frieden", "Friede", "Scheinfriede" ] }, "490": { "input": "opportunity", "output": "Gelegenheit", "possible_translations": [ "Gelegenheit" ] }, "491": { "input": "question", "output": "Frage", "possible_translations": [ "fragen", "befragen", "in Frage stellen", "Zweifel", "Frage", "anzweifeln", "hinterfragen", "Anfrage", "bezweifeln", "infrage stellen" ] }, "492": { "input": "analysis", "output": "Analyse", "possible_translations": [ "Analysis", "Analyse" ] }, "493": { "input": "shooting", "output": "Schießen", "possible_translations": [ "Schießen", "Schießerei" ] }, "494": { "input": "display", "output": "Display", "possible_translations": [ "Monitor", "anzeigen", "Bildschirm", "Display", "Anzeige", "Vorführung" ] }, "495": { "input": "deck", "output": "Deck", "possible_translations": [ "Kartenstapel", "Kartenspiel", "Deck" ] }, "496": { "input": "advantage", "output": "Vorteil", "possible_translations": [ "Vorzug", "Vorteil" ] }, "497": { "input": "conference", "output": "Konferenz", "possible_translations": [ "Konferenz" ] }, "498": { "input": "fan", "output": "Fächer", "possible_translations": [ "anwehen", "Lüfter", "anfachen", "Fan", "Liebhaber", "fächern", "Gebläse", "auffächern", "Fächer", "Ventilator", "belüften", "ventilieren" ] }, "499": { "input": "prison", "output": "Haft", "possible_translations": [ "Zuchthaus", "Kerker", "Haft", "Gefangenschaft", "Gefängnis" ] }, "500": { "input": "host", "output": "Wirt", "possible_translations": [ "Gastgeber", "Gastgeber sein", "Veranstalter", "Wirt", "Heer", "organisieren", "Showmaster", "Moderator", "Träger", "Hostie", "Organisator", "bereitstellen", "durchführen", "aufnehmen" ] }, "501": { "input": "volume", "output": "Jahrgang", "possible_translations": [ "Lautstärke", "Volumen", "Jahrgang", "Band" ] }, "502": { "input": "protection", "output": "Schutz", "possible_translations": [ "Schutz" ] }, "503": { "input": "target", "output": "Zielscheibe", "possible_translations": [ "Ziel", "Zielscheibe" ] }, "504": { "input": "expedition", "output": "Expedition", "possible_translations": [ "Expedition" ] }, "505": { "input": "publication", "output": "Veröffentlichung", "possible_translations": [ "Veröffentlichung", "Publikation" ] }, "506": { "input": "temperature", "output": "Temperatur", "possible_translations": [ "Temperatur", "erhöhte Temperatur" ] }, "507": { "input": "economy", "output": "Wirtschaft", "possible_translations": [ "Binnenwirtschaft", "Wirtschaft", "Ökonomie" ] }, "508": { "input": "edge", "output": "Kante", "possible_translations": [ "Seite", "Klinge", "Kante", "Vorsprung", "Rand" ] }, "509": { "input": "intersection", "output": "Schnittpunkt", "possible_translations": [ "Durchschnitt", "Schnittpunkt", "Kreuzung" ] }, "510": { "input": "motion", "output": "Bewegung", "possible_translations": [ "Bewegung" ] }, "511": { "input": "chance", "output": "Gelegenheit", "possible_translations": [ "Möglichkeit", "Gelegenheit", "Wahrscheinlichkeit", "Zufall", "Chance" ] }, "512": { "input": "label", "output": "Etikett", "possible_translations": [ "etikettieren", "Etikett", "Beschriftung" ] }, "513": { "input": "gain", "output": "Gewinn", "possible_translations": [ "gewinnen", "Gewinn" ] }, "514": { "input": "element", "output": "Element", "possible_translations": [ "Element", "Bauelement" ] }, "515": { "input": "rear", "output": "Nachhut", "possible_translations": [ "aufziehen", "großziehen", "erziehen", "Nachhut", "aufrichten" ] }, "516": { "input": "literature", "output": "Literatur", "possible_translations": [ "Literatur" ] }, "517": { "input": "strike", "output": "Strike", "possible_translations": [ "schlagen", "prägen", "Streik", "streiken", "die Fahne streichen", "scheinen", "streichen", "Strike" ] }, "518": { "input": "technology", "output": "Technologie", "possible_translations": [ "Technik", "Technologie" ] }, "519": { "input": "adult", "output": "Erwachsener", "possible_translations": [ "erwachsen", "Erwachsene", "Erwachsener" ] }, "520": { "input": "resistance", "output": "Widerstand", "possible_translations": [ "Widerstand" ] }, "521": { "input": "launch", "output": "Start", "possible_translations": [ "abschießen", "Start", "lancieren" ] }, "522": { "input": "shape", "output": "Form", "possible_translations": [ "Form", "Zustand", "formen" ] }, "523": { "input": "sign", "output": "Zeichen", "possible_translations": [ "Verkehrsschild", "Anzeichen", "Sonderzeichen", "Gebärdensprache", "Sternzeichen", "unterzeichnen", "signieren", "Zeichen", "unterschreiben", "Schild", "Zeichensprache", "unterschriften", "Gebärde", "Tierkreiszeichen", "gebärden", "Verkehrszeichen", "Vorzeichen" ] }, "524": { "input": "tax", "output": "Steuer", "possible_translations": [ "Steuer", "besteuern" ] }, "525": { "input": "agent", "output": "Agens", "possible_translations": [ "Agens", "Agent" ] }, "526": { "input": "popularity", "output": "Popularität", "possible_translations": [ "Popularität" ] }, "527": { "input": "reaction", "output": "Reaktion", "possible_translations": [ "Reaktion" ] }, "528": { "input": "editor", "output": "Redakteur", "possible_translations": [ "Redakteurin", "Texteditor", "Editor", "Redakteur" ] }, "529": { "input": "reputation", "output": "Ansehen", "possible_translations": [ "Klang", "Ansehen", "Ruf" ] }, "530": { "input": "estate", "output": "Gut", "possible_translations": [ "Landgut", "Gut" ] }, "531": { "input": "poem", "output": "Gedicht", "possible_translations": [ "Dichtung", "Gedicht" ] }, "532": { "input": "southeast", "output": "Südosten", "possible_translations": [ "Südosten" ] }, "533": { "input": "height", "output": "Höhe", "possible_translations": [ "Größe", "Höhe" ] }, "534": { "input": "alternative", "output": "Alternative", "possible_translations": [ "Alternative", "alternativ" ] }, "535": { "input": "franchise", "output": "Franchise", "possible_translations": [ "Wahlrecht", "Franchise", "Konzession" ] }, "536": { "input": "opinion", "output": "Schlussanträge", "possible_translations": [ "Ansicht", "Anschauung", "Meinung", "Schlussanträge" ] }, "537": { "input": "steel", "output": "Stahl", "possible_translations": [ "stählern", "Stahl" ] }, "538": { "input": "cricket", "output": "Cricket", "possible_translations": [ "Cricket", "Grille", "Kricket" ] }, "539": { "input": "planning", "output": "Planung", "possible_translations": [ "Planen", "Planung" ] }, "540": { "input": "lap", "output": "Schoß", "possible_translations": [ "überrunden", "schlecken", "Schoß" ] }, "541": { "input": "safety", "output": "Sicherheit", "possible_translations": [ "Sicherheit", "Gefahrlosigkeit" ] }, "542": { "input": "existence", "output": "Existenz", "possible_translations": [ "Sein", "Existenz" ] }, "543": { "input": "introduction", "output": "Einführung", "possible_translations": [ "Einführung" ] }, "544": { "input": "promotion", "output": "Beförderung", "possible_translations": [ "Werbung", "Beförderung", "Förderung" ] }, "545": { "input": "branch", "output": "Branche", "possible_translations": [ "Zweig", "Filiale", "abzweigen", "springen", "Ast", "Zweigstelle", "Branche", "verzweigen" ] }, "546": { "input": "product", "output": "Produkt", "possible_translations": [ "Reaktionsprodukt", "Produkt" ] }, "547": { "input": "exchange", "output": "Austausch", "possible_translations": [ "Austausch", "umtauschen", "tauschen", "Tausch" ] }, "548": { "input": "defence", "output": "Verteidigung", "possible_translations": [ "Verteidigung" ] }, "549": { "input": "baseball", "output": "Baseball", "possible_translations": [ "Baseball" ] }, "550": { "input": "platform", "output": "Plattform", "possible_translations": [ "Podest", "Plattform", "Bahnsteig" ] }, "551": { "input": "request", "output": "Bitte", "possible_translations": [ "Bitte", "Gesuch", "Begehren", "Wunsch", "Antrag", "Begehr", "Ersuchen", "Nachfrage", "Eingabe", "anfordern", "verlangen nach", "bitten um", "Ansinnen", "erwünschen", "erbitten", "begehren", "Anfrage", "ersuchen" ] }, "552": { "input": "moment", "output": "Moment", "possible_translations": [ "Zeitpunkt", "Moment", "Augenblick" ] }, "553": { "input": "freeway", "output": "Autobahn", "possible_translations": [ "Autobahn" ] }, "554": { "input": "crowd", "output": "Gedränge", "possible_translations": [ "Haufen", "Gedränge" ] }, "555": { "input": "settlement", "output": "Ansiedlung", "possible_translations": [ "Niederlassung", "Erledigung", "Siedlung", "Ansiedlung", "Regulierung", "Kolonie", "Regelung", "Vergleich" ] }, "556": { "input": "note", "output": "Notiz", "possible_translations": [ "Notiz", "Ton", "Note" ] }, "557": { "input": "description", "output": "Beschreibung", "possible_translations": [ "Beschreibung" ] }, "558": { "input": "method", "output": "Art und Weise", "possible_translations": [ "Art und Weise", "Methode" ] }, "559": { "input": "environment", "output": "Umgebung", "possible_translations": [ "Umfeld", "Umgebung", "Umwelt" ] }, "560": { "input": "genre", "output": "Genre", "possible_translations": [ "Genre" ] }, "561": { "input": "reserve", "output": "Reserve", "possible_translations": [ "vormerken", "Reservieren", "vorbehalten", "reservieren", "Reserviertheit", "Reserve", "Schutzgebiet", "buchen" ] }, "562": { "input": "knowledge", "output": "Wissen", "possible_translations": [ "Kenntnis", "Wissen" ] }, "563": { "input": "bank", "output": "Bank", "possible_translations": [ "Bank", "Ufer" ] }, "564": { "input": "statement", "output": "Behauptung", "possible_translations": [ "Erklärung", "Behauptung", "Anweisung" ] }, "565": { "input": "southwest", "output": "Südwesten", "possible_translations": [ "Südwesten" ] }, "566": { "input": "rain", "output": "Regen", "possible_translations": [ "Regen", "regnen" ] }, "567": { "input": "violence", "output": "Gewalt", "possible_translations": [ "Gewalttaten", "Gewalt", "Gewalttätigkeiten" ] }, "568": { "input": "function", "output": "Funktion", "possible_translations": [ "Zweck", "Funktion", "fungieren", "funzen", "Funktionalität", "arbeiten", "funktionieren", "Aufgabe", "Festveranstaltung", "wirken", "Feier" ] }, "569": { "input": "assault", "output": "Anschlag", "possible_translations": [ "angreifen", "Anschlag", "überfallen" ] }, "570": { "input": "battery", "output": "Körperverletzung", "possible_translations": [ "tätlicher Angriff", "Legebatterie", "Körperverletzung", "Batterie" ] }, "571": { "input": "coal", "output": "Kohle", "possible_translations": [ "Steinkohle", "Kohle" ] }, "572": { "input": "candidate", "output": "Kandidat", "possible_translations": [ "Kandidat", "Kandidatin" ] }, "573": { "input": "table", "output": "Tabelle", "possible_translations": [ "Tabelle", "Tisch" ] }, "574": { "input": "distribution", "output": "Distribution", "possible_translations": [ "Streuung", "Verteilung", "Austeilung", "Gliederung", "Verbreitung", "Distribution", "Absatz", "Aufteilung" ] }, "575": { "input": "independence", "output": "Unabhängigkeit", "possible_translations": [ "Selbständigkeit", "Unabhängigkeit" ] }, "576": { "input": "entrance", "output": "Eingang", "possible_translations": [ "Eingang", "Einfahrt", "Zutritt" ] }, "577": { "input": "combination", "output": "Kombination", "possible_translations": [ "Vereinigung", "Kombination" ] }, "578": { "input": "camera", "output": "Videokamera", "possible_translations": [ "Videokamera", "Fotoapparat", "Kamera" ] }, "579": { "input": "stadium", "output": "Stadion", "possible_translations": [ "Stadion" ] }, "580": { "input": "appeal", "output": "Berufung", "possible_translations": [ "in Berufung gehen", "Berufung", "ansprechen", "anziehen" ] }, "581": { "input": "campus", "output": "Campus", "possible_translations": [ "Campus" ] }, "582": { "input": "landfall", "output": "Landung", "possible_translations": [ "Landung" ] }, "583": { "input": "cell", "output": "Zelle", "possible_translations": [ "Handy", "Zelle" ] }, "584": { "input": "decade", "output": "Dekade", "possible_translations": [ "Jahrzehnt", "Dekade" ] }, "585": { "input": "boy", "output": "Junge", "possible_translations": [ "Bube", "Boy", "Bursche", "Kerl", "Junge", "Knabe", "Junge!", "Knappe", "Jungs" ] }, "586": { "input": "winner", "output": "Gewinner", "possible_translations": [ "Sieger", "Siegerin", "Gewinner", "Gewinnerin" ] }, "587": { "input": "evening", "output": "Abend", "possible_translations": [ "Abend" ] }, "588": { "input": "investigation", "output": "Untersuchung", "possible_translations": [ "Untersuchung" ] }, "589": { "input": "message", "output": "Nachricht", "possible_translations": [ "Mitteilung ; Nachricht", "Mitteilung", "Botschaft", "Nachricht" ] }, "590": { "input": "proposal", "output": "Vorschlag", "possible_translations": [ "Vorschlag" ] }, "591": { "input": "trip", "output": "Reise", "possible_translations": [ "Drogenrausch", "Reise", "stolpern", "Trip" ] }, "592": { "input": "bit", "output": "Bit", "possible_translations": [ "Happen", "Gebiss", "Stückchen", "Bisschen", "Stück", "Mundstück", "Wenig", "Bohrer", "Bit" ] }, "593": { "input": "duty", "output": "Schicht", "possible_translations": [ "Zoll", "Pflicht", "Einfuhrsteuer", "Schicht", "Arbeitszeit" ] }, "594": { "input": "bomb", "output": "Bombe", "possible_translations": [ "bombardieren", "Bombe" ] }, "595": { "input": "religion", "output": "Religion", "possible_translations": [ "Religion" ] }, "596": { "input": "hair", "output": "Haar", "possible_translations": [ "Haaresbreite", "Haare", "Haar" ] }, "597": { "input": "controversy", "output": "Kontroverse", "possible_translations": [ "Kontroverse" ] }, "598": { "input": "hall", "output": "Studentenwohnheim", "possible_translations": [ "Herrenhaus", "Korridor", "Halle", "Studentenwohnheim", "Saal", "Diele", "Flur" ] }, "599": { "input": "tail", "output": "Schwanz", "possible_translations": [ "Schwänzlein", "Schwänzchen", "Schwanz", "Stert", "Rute", "Hintern", "beschatten", "Bürzel", "Sterz", "Gesäß", "Hinterteil", "Schweif", "Zagel" ] }, "600": { "input": "importance", "output": "Wichtigkeit", "possible_translations": [ "Belang", "Wichtigkeit" ] }, "601": { "input": "actress", "output": "Schauspielerin", "possible_translations": [ "Schauspielerin" ] }, "602": { "input": "owner", "output": "Besitzer", "possible_translations": [ "Besitzer", "Eigentümer" ] }, "603": { "input": "steam", "output": "Dampf", "possible_translations": [ "dämpfen", "Dampf", "Kraft", "Energie" ] }, "604": { "input": "opera", "output": "Oper", "possible_translations": [ "Oper", "Opernhaus" ] }, "605": { "input": "nomination", "output": "Nominierung", "possible_translations": [ "Nominierung" ] }, "606": { "input": "entry", "output": "Eintrag", "possible_translations": [ "Eintrag", "Flur", "Zutritt", "Eingang", "Element", "Eintritt" ] }, "607": { "input": "crime", "output": "Verbrechen", "possible_translations": [ "Kriminalität", "Verbrechen" ] }, "608": { "input": "composer", "output": "Komponist", "possible_translations": [ "Komponistin", "Komponist" ] }, "609": { "input": "transfer", "output": "Übertragung", "possible_translations": [ "Versetzung", "bringen", "übertragen", "Überweisung", "Übertragung" ] }, "610": { "input": "price", "output": "Preis", "possible_translations": [ "schätzen", "Preis", "den Preis festsetzen" ] }, "611": { "input": "mountain", "output": "Berg", "possible_translations": [ "Berg", "Haufen" ] }, "612": { "input": "firm", "output": "Firma", "possible_translations": [ "Firma", "fest" ] }, "613": { "input": "extension", "output": "Ausdehnung", "possible_translations": [ "Erweiterung", "Verlängerung", "Durchwahl", "Ausdehnung" ] }, "614": { "input": "roof", "output": "Dach", "possible_translations": [ "Dach", "überdachen" ] }, "615": { "input": "driving", "output": "Fahren", "possible_translations": [ "Fahren", "Lenkung" ] }, "616": { "input": "identity", "output": "Identität", "possible_translations": [ "Identität", "Gleichheit" ] }, "617": { "input": "bottom", "output": "Boden", "possible_translations": [ "Grund", "Unterseite", "Boden" ] }, "618": { "input": "zone", "output": "Zone", "possible_translations": [ "Gürtel", "Distrikt", "sich nicht konzentrieren", "Gebiet", "Landstrich", "Feld", "Eingabefeld", "verzonen", "Zone", "Bereich", "mit den Gedanken abschweifen", "Fixierungszeitraum", "absperren" ] }, "619": { "input": "challenge", "output": "Herausforderung", "possible_translations": [ "Herausforderung", "herausfordern" ] }, "620": { "input": "lane", "output": "Spur", "possible_translations": [ "Route", "Spur", "Gasse", "Gang" ] }, "621": { "input": "rail", "output": "Geländer", "possible_translations": [ "Schiene", "Gleise", "Eisenbahn", "Gleis", "hetzen", "Bahn", "Reling", "Ralle", "Geländer" ] }, "622": { "input": "principal", "output": "Schulvorsteher", "possible_translations": [ "Schulleiter", "hauptsächlich", "Schulvorsteher", "Schulvorsteherin", "Schulleiterin", "Schuldirektor" ] }, "623": { "input": "hotel", "output": "Hotel", "possible_translations": [ "Hotel" ] }, "624": { "input": "relief", "output": "Relief", "possible_translations": [ "Erleichterung", "Entlastung", "Relief", "Ablösung", "Hilfe" ] }, "625": { "input": "debate", "output": "Debatte", "possible_translations": [ "debattieren", "Debatte" ] }, "626": { "input": "depth", "output": "Tiefe", "possible_translations": [ "Tiefe" ] }, "627": { "input": "purchase", "output": "Kauf", "possible_translations": [ "Anschaffung", "Kauf", "Einkauf", "kaufen", "anschaffen" ] }, "628": { "input": "departure", "output": "Abfahrt", "possible_translations": [ "Abreise", "Abfahrt", "Abflug" ] }, "629": { "input": "income", "output": "Einkommen", "possible_translations": [ "Einkommen" ] }, "630": { "input": "decline", "output": "Sinken", "possible_translations": [ "ablehnen", "Sinken", "Rückgang", "Gefälle", "sinken", "deklinieren", "abnehmen", "fallen", "Fall", "Abnahme", "zurückgehen" ] }, "631": { "input": "accident", "output": "Unfall", "possible_translations": [ "Zufall", "Unfall" ] }, "632": { "input": "recognition", "output": "Anerkennung", "possible_translations": [ "Erkennen", "Erkennung", "Anerkennung", "Wiedererkennen" ] }, "633": { "input": "connection", "output": "Verbindung", "possible_translations": [ "Verbindung", "Anschluss" ] }, "634": { "input": "mode", "output": "Modus", "possible_translations": [ "Mode", "Modus" ] }, "635": { "input": "progress", "output": "Fortschritt", "possible_translations": [ "Fortschritt" ] }, "636": { "input": "sequel", "output": "Folge", "possible_translations": [ "Folge" ] }, "637": { "input": "disc", "output": "Scheibe", "possible_translations": [ "Bandscheibe", "Scheibe" ] }, "638": { "input": "museum", "output": "Museum", "possible_translations": [ "Museum" ] }, "639": { "input": "measure", "output": "Maß", "possible_translations": [ "Maßnahme", "abmessen", "Maß", "Messung", "messen" ] }, "640": { "input": "department", "output": "Abteilung", "possible_translations": [ "Abteilung" ] }, "641": { "input": "demand", "output": "Nachfrage", "possible_translations": [ "Nachfrage", "verlangen", "bestehen" ] }, "642": { "input": "spot", "output": "Fleck", "possible_translations": [ "Stelle", "Ort", "Fleck", "Werbespot", "Bisschen" ] }, "643": { "input": "tank", "output": "Tank", "possible_translations": [ "Panzer", "Becken", "Behälter", "Tank" ] }, "644": { "input": "circulation", "output": "Blutkreislauf", "possible_translations": [ "Blutkreislauf" ] }, "645": { "input": "intelligence", "output": "Geheimdienst", "possible_translations": [ "Intelligenz", "Geheimdienst", "intelligentes Leben", "Geheimdienstinformationen", "Sicherheitsdienst", "Nachrichtendienst" ] }, "646": { "input": "possibility", "output": "Möglichkeit", "possible_translations": [ "Möglichkeit" ] }, "647": { "input": "journey", "output": "Reise", "possible_translations": [ "Fahrt", "Reise", "reisen", "verreisen", "Tour" ] }, "648": { "input": "freedom", "output": "Freiheit", "possible_translations": [ "Freiheit" ] }, "649": { "input": "drug", "output": "Droge", "possible_translations": [ "Rauschgift", "Rauschmittel", "Droge", "Betäubungsmittel" ] }, "650": { "input": "generation", "output": "Generation", "possible_translations": [ "Generation" ] }, "651": { "input": "downtown", "output": "Stadtmitte", "possible_translations": [ "Stadtzentrum", "Stadtmitte", "Innenstadt" ] }, "652": { "input": "assistance", "output": "Hilfe", "possible_translations": [ "Hilfe" ] }, "653": { "input": "destruction", "output": "Zerstörung", "possible_translations": [ "Zerstörung", "Vernichtung" ] }, "654": { "input": "youth", "output": "Jugend", "possible_translations": [ "Jugendlicher", "Heranwachsender", "Jugend", "Jugendliche" ] }, "655": { "input": "medal", "output": "Medaille", "possible_translations": [ "Medaille" ] }, "656": { "input": "atmosphere", "output": "Atmosphäre", "possible_translations": [ "Atmosphäre" ] }, "657": { "input": "task", "output": "Aufgabe", "possible_translations": [ "Aufgabe", "Pflicht" ] }, "658": { "input": "block", "output": "Block", "possible_translations": [ "blockieren", "verstopfen", "abblocken", "Häuserblock", "Block", "Verstopfung", "Klotz" ] }, "659": { "input": "guard", "output": "Schutz", "possible_translations": [ "schützen", "Wächter", "Schutz" ] }, "660": { "input": "regiment", "output": "Regiment", "possible_translations": [ "Regiment" ] }, "661": { "input": "chorus", "output": "Chor", "possible_translations": [ "Chor", "Chorus", "Refrain" ] }, "662": { "input": "hip", "output": "Hüfte", "possible_translations": [ "Hüfte", "Hagebutte" ] }, "663": { "input": "store", "output": "Lager", "possible_translations": [ "speichern", "lagern", "Vorrat", "Lager", "sich halten", "Speicher", "Lagerbestand" ] }, "664": { "input": "completion", "output": "Vervollständigung", "possible_translations": [ "Vervollständigung" ] }, "665": { "input": "origin", "output": "Ursprung", "possible_translations": [ "Ursprung", "Quelle", "Entstehung", "Anfang", "Herkunft" ] }, "666": { "input": "responsibility", "output": "Verantwortung", "possible_translations": [ "Verantwortung", "Verantwortlichkeit" ] }, "667": { "input": "warning", "output": "Warnung", "possible_translations": [ "Warnung", "Achtung" ] }, "668": { "input": "skin", "output": "Design", "possible_translations": [ "Design", "Fell", "aufschürfen", "häuten", "Haut" ] }, "669": { "input": "page", "output": "Seite", "possible_translations": [ "Page", "Seite" ] }, "670": { "input": "province", "output": "Provinz", "possible_translations": [ "Land", "Provinz" ] }, "671": { "input": "glass", "output": "Glas", "possible_translations": [ "Glas" ] }, "672": { "input": "path", "output": "Weg", "possible_translations": [ "Weg", "Pfad" ] }, "673": { "input": "passage", "output": "Passage", "possible_translations": [ "Passus", "Passage" ] }, "674": { "input": "counter", "output": "Zähler", "possible_translations": [ "Schalter", "Tresen", "entgegnen", "reagieren", "Theke", "entgegensetzen", "widersprechen", "Zähler" ] }, "675": { "input": "breed", "output": "Rasse", "possible_translations": [ "Rasse", "züchten", "Sorte", "hervorrufen", "aufziehen", "erzeugen", "verursachen", "brüten", "sich paaren" ] }, "676": { "input": "association", "output": "Verein", "possible_translations": [ "Vereinigung", "Assoziation", "Verband", "Verein" ] }, "677": { "input": "cruiser", "output": "Kreuzer", "possible_translations": [ "Kreuzer" ] }, "678": { "input": "climate", "output": "Klima", "possible_translations": [ "Klima" ] }, "679": { "input": "corner", "output": "Ecke", "possible_translations": [ "in die Enge treiben", "Winkel", "Ecke" ] }, "680": { "input": "classification", "output": "Klassifikation", "possible_translations": [ "Klassifikation" ] }, "681": { "input": "vehicle", "output": "Fahrzeug", "possible_translations": [ "Mittel", "Vehikel", "Fahrzeug", "Gefährt" ] }, "682": { "input": "reality", "output": "Wirklichkeit", "possible_translations": [ "Wirklichkeit", "Realität" ] }, "683": { "input": "picture", "output": "Kino", "possible_translations": [ "Kino", "Bild", "etwas vorstellen", "Abbildung", "Film", "ein Foto machen", "fotographieren", "Abbild", "Foto", "Gemälde" ] }, "684": { "input": "memory", "output": "Gedächtnis", "possible_translations": [ "Speicher", "Gedächtnis", "Erinnerung" ] }, "685": { "input": "segment", "output": "Segment", "possible_translations": [ "segmentieren", "Segment" ] }, "686": { "input": "bar", "output": "Bar", "possible_translations": [ "blockieren", "Barren", "Theke", "Verbot", "Bar", "Block", "versperren", "Kneipe", "Takt", "Tresen", "Streifen", "Tafel", "Strich", "verbieten", "Austrian: Beisl", "Stange", "Stück", "Taktstrich", "Balken", "Sandbank" ] }, "687": { "input": "touchdown", "output": "Touchdown", "possible_translations": [ "Touchdown" ] }, "688": { "input": "difficulty", "output": "Schwierigkeit", "possible_translations": [ "Schwierigkeit" ] }, "689": { "input": "flow", "output": "Tätigkeitsrausch", "possible_translations": [ "fließen", "Tätigkeitsrausch", "Flut", "Fluss" ] }, "690": { "input": "basketball", "output": "Basketball", "possible_translations": [ "Basketball" ] }, "691": { "input": "cavalry", "output": "Kavallerie", "possible_translations": [ "Kavallerie" ] }, "692": { "input": "inspiration", "output": "Einatmung", "possible_translations": [ "Einatmung", "göttliche Eingebung", "Einatmen", "Inspiration" ] }, "693": { "input": "anniversary", "output": "Jahrestag", "possible_translations": [ "Hochzeitstag", "Jahrestag" ] }, "694": { "input": "funding", "output": "Finanzierung", "possible_translations": [ "Finanzierung" ] }, "695": { "input": "spoke", "output": "Speiche", "possible_translations": [ "Speiche" ] }, "696": { "input": "praise", "output": "Lob", "possible_translations": [ "loben", "Lob" ] }, "697": { "input": "penalty", "output": "Strafe", "possible_translations": [ "Strafe" ] }, "698": { "input": "pitch", "output": "Pech", "possible_translations": [ "Tonhöhe", "Tonlage", "stampfen ; neigen", "Sportplatz", "werben", "Abstand", "Neigung", "Wurf", "Verkaufsgespräch", "Harz", "Steigung", "Teilung", "bewerben", "Pech", "stampfen", "werfen", "aufschlagen", "Grad", "wegwerfen" ] }, "699": { "input": "pattern", "output": "Muster", "possible_translations": [ "Schablone", "Modell", "Muster", "Struktur", "strukturieren" ] }, "700": { "input": "heat", "output": "Hitze", "possible_translations": [ "Schärfe", "heiß machen", "Brunst", "Rolligkeit", "Brunft", "Vorlauf", "Wärme", "Lauf", "Wärmeenergie", "erhitzen", "Läufigkeit", "Hitze" ] }, "701": { "input": "commission", "output": "Kommission", "possible_translations": [ "Abschlußprämie", "Abschlußprovision", "beauftragen", "Kommission", "Auftrag", "in Auftrag geben", "Provision", "in Betrieb nehmen", "in Dienst stellen" ] }, "702": { "input": "strategy", "output": "Strategie", "possible_translations": [ "Strategie" ] }, "703": { "input": "documentary", "output": "Dokumentation", "possible_translations": [ "Dokumentarfilm", "Dokumentation" ] }, "704": { "input": "cap", "output": "Mütze", "possible_translations": [ "Hut", "Mütze" ] }, "705": { "input": "architecture", "output": "Architektur", "possible_translations": [ "Architektur", "Baustil" ] }, "706": { "input": "category", "output": "Kategorie", "possible_translations": [ "Kategorie" ] }, "707": { "input": "contest", "output": "Wettkampf", "possible_translations": [ "Wettstreit", "Wettkampf", "Wettbewerb" ] }, "708": { "input": "plane", "output": "Ebene", "possible_translations": [ "eben", "Flieger", "Platane", "Ebene", "gleiten", "Flugzeug", "Hobel", "hobeln" ] }, "709": { "input": "minister", "output": "Minister", "possible_translations": [ "Ministerin", "sich um jemanden kümmern", "Minister", "für jemanden sorgen" ] }, "710": { "input": "adaptation", "output": "Anpassung", "possible_translations": [ "Anpassung" ] }, "711": { "input": "champion", "output": "Sieger", "possible_translations": [ "Sieger", "Meister", "Gewinner" ] }, "712": { "input": "scheme", "output": "Schema", "possible_translations": [ "Schema" ] }, "713": { "input": "library", "output": "Bibliothek", "possible_translations": [ "Bücherei", "Bibliothek", "Archiv" ] }, "714": { "input": "fit", "output": "Anfall", "possible_translations": [ "heiß", "sexy", "Anfall", "scharf", "Paßform", "passen" ] }, "715": { "input": "fighter", "output": "Kämpfer", "possible_translations": [ "Kämpfer", "Jäger" ] }, "716": { "input": "throne", "output": "Thron", "possible_translations": [ "Thron" ] }, "717": { "input": "rival", "output": "Gegner", "possible_translations": [ "Rivale", "Konkurrent", "Gegner" ] }, "718": { "input": "passenger", "output": "Passagier", "possible_translations": [ "Fahrgästin", "Passagier", "Fahrgast", "Passagierin" ] }, "719": { "input": "partner", "output": "Partner", "possible_translations": [ "Partner", "Partnerin" ] }, "720": { "input": "reviewer", "output": "Rezensent", "possible_translations": [ "Rezensentin", "Rezensent" ] }, "721": { "input": "submarine", "output": "Unterseeboot", "possible_translations": [ "untermeerisch", "submarin", "U-Boot", "Unterseeboot", "unterseeisch" ] }, "722": { "input": "absence", "output": "Abwesenheit", "possible_translations": [ "Absenz", "Fehlen", "Abwesenheit" ] }, "723": { "input": "door", "output": "Tür", "possible_translations": [ "Tür", "Türe", "Türen" ] }, "724": { "input": "engineer", "output": "Maschinist", "possible_translations": [ "Maschinistin", "Ingenieurin", "Maschinist", "Ingenieur" ] }, "725": { "input": "airport", "output": "Flughafen", "possible_translations": [ "Flugplatz", "Flughafen" ] }, "726": { "input": "interior", "output": "Interieur", "possible_translations": [ "Interieur", "offener Kern", "Innenraum", "Inneres" ] }, "727": { "input": "behavior", "output": "Verhalten", "possible_translations": [ "Benehmen", "Verhaltensweise", "Verhalten", "Betragen" ] }, "728": { "input": "respect", "output": "Achtung", "possible_translations": [ "Respekt", "Achtung", "respektieren" ] }, "729": { "input": "conclusion", "output": "Schlussfolgerung", "possible_translations": [ "Ende", "Ergebnis", "logische Schlussfolgerung", "Vernunftsschluss", "Abschluss", "Folgerung", "Schluss", "Schlussfolgerung" ] }, "730": { "input": "acid", "output": "Säure", "possible_translations": [ "Säure", "sauer", "Lysergsäure-diethylamid" ] }, "731": { "input": "facility", "output": "Leichtigkeit", "possible_translations": [ "Leichtigkeit", "Vorrichtung", "Einrichtung" ] }, "732": { "input": "retirement", "output": "Rente", "possible_translations": [ "Rente", "Abgeschiedenheit", "Ruhestand" ] }, "733": { "input": "colony", "output": "Kolonie", "possible_translations": [ "Kolonie" ] }, "734": { "input": "fashion", "output": "Mode", "possible_translations": [ "anfertigen", "Mode", "Stil", "fertigen" ] }, "735": { "input": "legislation", "output": "Gesetz", "possible_translations": [ "Gesetz", "Gesetzgebung" ] }, "736": { "input": "favor", "output": "Gefallen", "possible_translations": [ "Gefallen", "Gefälligkeit", "begünstigen" ] }, "737": { "input": "kingdom", "output": "Königreich", "possible_translations": [ "Reich", "Königreich" ] }, "738": { "input": "credit", "output": "Kreditwürdigkeit", "possible_translations": [ "Kredit", "Kreditwürdigkeit" ] }, "739": { "input": "rescue", "output": "Rettung", "possible_translations": [ "retten", "Rettung" ] }, "740": { "input": "farm", "output": "Bauernhof", "possible_translations": [ "Farm", "Bauernhof" ] }, "741": { "input": "crash", "output": "Absturz", "possible_translations": [ "abstürzen", "Krachen", "krachen", "Zusammenstoß", "Absturz", "anprallen" ] }, "742": { "input": "battleship", "output": "Schiffe versenken", "possible_translations": [ "Schlachtschiff . Schlachtschiff is used for dreadnought battleships", "Linienschiff is used for pre-dreadnought battleships.", "Schiffe versenken" ] }, "743": { "input": "habitat", "output": "Habitat", "possible_translations": [ "Habitat" ] }, "744": { "input": "hop", "output": "Hopfen", "possible_translations": [ "Hopfen", "hüpfen" ] }, "745": { "input": "judge", "output": "Richter", "possible_translations": [ "eine Verhandlung führen", "Schiedsrichterin", "ein Urteil fällen über", "Schiedsrichter", "Richter", "Schiedsrichter sein", "einschätzen als", "verurteilen", "beurteilen", "richten", "schätzen", "Richterin", "urteilen", "einschätzen" ] }, "746": { "input": "chairman", "output": "Vorsitzender", "possible_translations": [ "Vorsitzender", "Vorsitzende" ] }, "747": { "input": "outbreak", "output": "Ausbruch", "possible_translations": [ "Ausbruch" ] }, "748": { "input": "arrangement", "output": "Anordnung", "possible_translations": [ "Anordnung" ] }, "749": { "input": "sport", "output": "Sport", "possible_translations": [ "herumspielen", "angeben mit", "spielen", "herumtollen", "Sportsmann", "sich vergnügen", "Sport", "tragen", "Sportsfrau", "protzen mit", "zur Schau stellen", "Spott treiben", "präsentieren" ] }, "750": { "input": "dog", "output": "Rüde", "possible_translations": [ "Rüde", "Hund" ] }, "751": { "input": "step", "output": "Schritt", "possible_translations": [ "Stufe", "schreiten", "Schritt", "treten", "Sprosse" ] }, "752": { "input": "fruit", "output": "Frucht", "possible_translations": [ "Frucht", "Schwuler", "Spross", "Obst", "Früchte", "fruchten", "Sprössling", "Schwuchtel", "Tunte" ] }, "753": { "input": "grade", "output": "Grad", "possible_translations": [ "Sorte", "Klasse", "Note", "Grad" ] }, "754": { "input": "emergency", "output": "Notfall", "possible_translations": [ "Notlage", "Notfall", "Notstand" ] }, "755": { "input": "limit", "output": "Grenze", "possible_translations": [ "begrenzen", "befristen", "Begrenzer", "Grenze", "Limes", "Grenzwert", "beschränken" ] }, "756": { "input": "cancer", "output": "Krebs", "possible_translations": [ "Krebs" ] }, "757": { "input": "shark", "output": "Hai", "possible_translations": [ "Hai", "Haifisch" ] }, "758": { "input": "festival", "output": "Festival", "possible_translations": [ "Festival" ] }, "759": { "input": "siege", "output": "Belagerung", "possible_translations": [ "belagern", "Belagerung" ] }, "760": { "input": "successor", "output": "Nachfolger", "possible_translations": [ "Nachfolgerin", "Nachfolger" ] }, "761": { "input": "narrative", "output": "Darstellung", "possible_translations": [ "erzählend", "erzählerisch", "in erzählender Form darlegend", "Darstellung" ] }, "762": { "input": "cycle", "output": "Zyklus", "possible_translations": [ "Rad fahren", "Zyklus", "Programm" ] }, "763": { "input": "hill", "output": "Hügel", "possible_translations": [ "Steigung", "Hang", "Anstieg", "Hügel" ] }, "764": { "input": "belt", "output": "Gürtel", "possible_translations": [ "Gürtel", "Riemen", "Zone", "Gurt" ] }, "765": { "input": "journalist", "output": "Journalist", "possible_translations": [ "Reporter", "Reporterin", "Journalistin", "Journalist" ] }, "766": { "input": "concern", "output": "Betroffenheit", "possible_translations": [ "Konzern", "Sorge", "Besorgnis", "Betroffenheit" ] }, "767": { "input": "object", "output": "Objekt", "possible_translations": [ "dagegen sein", "Gegenstand", "Einwände haben", "einwenden", "Objekt" ] }, "768": { "input": "childhood", "output": "Kindheit", "possible_translations": [ "Kindheit" ] }, "769": { "input": "conduct", "output": "Leitung", "possible_translations": [ "Führung", "dirigieren", "führen", "leiten", "Leitung" ] }, "770": { "input": "hunting", "output": "Jagd", "possible_translations": [ "Jagd" ] }, "771": { "input": "ride", "output": "Fahrt", "possible_translations": [ "Fahrt", "fahren" ] }, "772": { "input": "talk", "output": "Gespräch", "possible_translations": [ "reden", "Gespräch", "sprechen", "Vortrag" ] }, "773": { "input": "chapter", "output": "Verband", "possible_translations": [ "Abschnitt", "Verband", "Kapitel", "Ortsverband", "Sektion" ] }, "774": { "input": "footage", "output": "Filmmaterial", "possible_translations": [ "Filmmeter", "Bandmaterial", "Filmmaterial" ] }, "775": { "input": "exception", "output": "Ausnahme", "possible_translations": [ "Ausnahme", "Exception", "Ausnahmebedingung" ] }, "776": { "input": "difference", "output": "Unterschied", "possible_translations": [ "Andersartigkeit", "Unterscheidung", "Meinungsverschiedenheit", "Anderssein", "Differenz", "unterscheiden", "differenzieren", "Unterschied" ] }, "777": { "input": "arm", "output": "Arm", "possible_translations": [ "Bewaffnung", "Oberarm", "rüsten", "bewaffnen", "Waffe", "Unterarm", "Arm", "Rüstung" ] }, "778": { "input": "device", "output": "Motto", "possible_translations": [ "Devise", "Emblem", "Hilfsmittel", "Instrument", "Motto", "Marke", "Einheit", "Apparat", "Baustein", "Vorrichtung", "Kunstgriff", "Gerät", "Einrichtung" ] }, "779": { "input": "animation", "output": "Animation", "possible_translations": [ "Animation" ] }, "780": { "input": "poet", "output": "Poet", "possible_translations": [ "Dichter", "Poet", "Poetin", "Dichterin" ] }, "781": { "input": "brain", "output": "Verstand", "possible_translations": [ "Köpfchen", "Superhirn", "Gehirn", "Grips", "Hirn", "Verstand", "Kopf", "Intelligenzbestie" ] }, "782": { "input": "stock", "output": "Vorrat", "possible_translations": [ "vorrätig", "verfügbar", "Vieh", "Aktie", "Brühe", "Vorrat", "Kolben" ] }, "783": { "input": "retreat", "output": "Rückzug", "possible_translations": [ "sich zurückziehen", "Rückzug" ] }, "784": { "input": "poetry", "output": "Poesie", "possible_translations": [ "Dichtung", "Dichtkunst", "Poesie" ] }, "785": { "input": "dialogue", "output": "Dialogfenster", "possible_translations": [ "Dialogfenster", "Gespräch", "Dialog" ] }, "786": { "input": "format", "output": "Format", "possible_translations": [ "Format", "formatieren", "Struktur" ] }, "787": { "input": "universe", "output": "Universum", "possible_translations": [ "Universum", "Weltall" ] }, "788": { "input": "instance", "output": "Instanz", "possible_translations": [ "Instanz" ] }, "789": { "input": "shell", "output": "Schale", "possible_translations": [ "Hülse", "Granate", "Muschel", "Eierschale", "Hülle", "Schalentier", "Schale", "Shell" ] }, "790": { "input": "union", "output": "Vereinigung", "possible_translations": [ "Vereinigungsmenge", "Union", "Vereinigung" ] }, "791": { "input": "convoy", "output": "Konvoi", "possible_translations": [ "Geleitzug", "Konvoi", "geleiten", "eskortieren" ] }, "792": { "input": "afternoon", "output": "Nachmittag", "possible_translations": [ "Nachmittag" ] }, "793": { "input": "belief", "output": "Glauben", "possible_translations": [ "Glaube", "Glauben" ] }, "794": { "input": "valley", "output": "Senke", "possible_translations": [ "Senke", "Tal" ] }, "795": { "input": "driver", "output": "Fahrer", "possible_translations": [ "Fahrer", "Treiber", "Fahrerin" ] }, "796": { "input": "suit", "output": "Farbe", "possible_translations": [ "Anzug", "Farbe", "passen" ] }, "797": { "input": "diameter", "output": "Durchmesser", "possible_translations": [ "Durchmesser" ] }, "798": { "input": "convention", "output": "Abkommen", "possible_translations": [ "Brauch", "Konvention", "Versammlung", "Abkommen", "Vereinbarung", "Sitte", "Kongress" ] }, "799": { "input": "founder", "output": "Gründer", "possible_translations": [ "Gründer", "sinken", "Gründerin", "scheitern" ] }, "800": { "input": "hero", "output": "Held", "possible_translations": [ "Hauptfigur", "Held", "Heldin" ] }, "801": { "input": "code", "output": "Gesetzbuch", "possible_translations": [ "programmieren", "Kodex", "Gesetzbuch", "Code", "Kode" ] }, "802": { "input": "crisis", "output": "Krise", "possible_translations": [ "Krise" ] }, "803": { "input": "engineering", "output": "Ingenieurwissenschaft", "possible_translations": [ "Ingenieurwesen", "Engineering", "Maschinenbau", "Ingenieurwissenschaft" ] }, "804": { "input": "designer", "output": "Designer", "possible_translations": [ "Designerin", "Designer" ] }, "805": { "input": "reform", "output": "Reform", "possible_translations": [ "reformieren", "Reform" ] }, "806": { "input": "fear", "output": "Angst", "possible_translations": [ "Furcht", "Angst", "fürchten", "Angst haben", "Phobie", "Schreck", "Ehrfurcht" ] }, "807": { "input": "technique", "output": "Technik", "possible_translations": [ "Technik" ] }, "808": { "input": "weekend", "output": "Wochenende", "possible_translations": [ "Wochenende" ] }, "809": { "input": "mix", "output": "Mischung", "possible_translations": [ "Mischung", "abmischen", "vermengen", "mischen", "vermischen", "mixen" ] }, "810": { "input": "tone", "output": "Ton", "possible_translations": [ "Ton", "Stimmung", "Farbton" ] }, "811": { "input": "finale", "output": "Finale", "possible_translations": [ "Finale" ] }, "812": { "input": "permission", "output": "Erlaubnis", "possible_translations": [ "Erlaubnis" ] }, "813": { "input": "advice", "output": "Rat", "possible_translations": [ "Rat" ] }, "814": { "input": "maintenance", "output": "Instandhaltung", "possible_translations": [ "Instandhaltung", "Wartung" ] }, "815": { "input": "weapon", "output": "Waffe", "possible_translations": [ "Waffe" ] }, "816": { "input": "factor", "output": "Faktor", "possible_translations": [ "Faktor" ] }, "817": { "input": "vice", "output": "Laster", "possible_translations": [ "Schraubstock", "Laster", "Lasterhaftigkeit" ] }, "818": { "input": "address", "output": "verbaler Antrag", "possible_translations": [ "Adresse", "Anrede", "verbaler Antrag", "Ansprache", "Fähigkeit", "adressieren", "sich vorbereiten", "Diskurs", "Art" ] }, "819": { "input": "verse", "output": "Strophe", "possible_translations": [ "Strophe", "Vers" ] }, "820": { "input": "bus", "output": "Bus", "possible_translations": [ "Bus" ] }, "821": { "input": "window", "output": "Fenster", "possible_translations": [ "Intervall", "Zeitspanne", "Fenster", "Zeitraum", "Windauge" ] }, "822": { "input": "personality", "output": "Persönlichkeit", "possible_translations": [ "Persönlichkeit" ] }, "823": { "input": "squad", "output": "Gruppe", "possible_translations": [ "Gruppe", "Mannschaft" ] }, "824": { "input": "mainstream", "output": "Hauptrichtung", "possible_translations": [ "Mainstream-", "Hauptrichtung", "Mainstream" ] }, "825": { "input": "chemical", "output": "Chemikalie", "possible_translations": [ "Chemikalie", "chemisch" ] }, "826": { "input": "spirit", "output": "Geist", "possible_translations": [ "Seele", "Alkohol", "Geist", "Sprit", "Schnaps" ] }, "827": { "input": "vision", "output": "Vision", "possible_translations": [ "Traumbild", "Sehkraft", "Sicht", "Vision" ] }, "828": { "input": "hockey", "output": "Hockey", "possible_translations": [ "Hockey", "Eishockey" ] }, "829": { "input": "channel", "output": "Kanal", "possible_translations": [ "Straße", "Meeresstraße", "lenken", "Kanal" ] }, "830": { "input": "carbon", "output": "Kohlenstoff", "possible_translations": [ "Kohlenstoff", "Kohlendioxid", "Kohle" ] }, "831": { "input": "drawing", "output": "Auslosung", "possible_translations": [ "Auslosung", "Zeichnung", "Bild", "Ziehung" ] }, "832": { "input": "dynasty", "output": "Dynastie", "possible_translations": [ "Dynastie" ] }, "833": { "input": "approval", "output": "Zustimmung", "possible_translations": [ "Zustimmung", "Genehmigung" ] }, "834": { "input": "card", "output": "Karte", "possible_translations": [ "Karte" ] }, "835": { "input": "intention", "output": "Absicht", "possible_translations": [ "Absicht" ] }, "836": { "input": "creator", "output": "Schöpfer", "possible_translations": [ "Schöpferin", "Weltschöpfer", "Schöpfergott", "Schöpfer" ] }, "837": { "input": "symbol", "output": "Symbol", "possible_translations": [ "Zeichen", "Symbol" ] }, "838": { "input": "tribute", "output": "Tribut", "possible_translations": [ "Tribut" ] }, "839": { "input": "collapse", "output": "Kollaps", "possible_translations": [ "einfallen", "zusammenlegen", "einstürzen", "zusammenfallen lassen", "kollabieren", "zusammenbrechen", "ohnmächtig niedersinken", "zusammenfalten", "zusammenfallen", "ohnmächtig zusammensinken", "einsacken lassen", "Kollaps", "zusammensinken lassen" ] }, "840": { "input": "protagonist", "output": "Protagonist", "possible_translations": [ "Held", "Hauptfigur", "Protagonist", "Protagonistin" ] }, "841": { "input": "link", "output": "Link", "possible_translations": [ "Hyperlink", "Verbindung", "verlinken", "Verknüpfung", "linken", "Link", "verknüpfen", "verbinden" ] }, "842": { "input": "folk", "output": "Volk", "possible_translations": [ "Volk" ] }, "843": { "input": "tie", "output": "Unentschieden", "possible_translations": [ "Remis", "binden", "Unentschieden" ] }, "844": { "input": "radar", "output": "Radar", "possible_translations": [ "Radar", "Funkmessgerät" ] }, "845": { "input": "load", "output": "ein Haufen", "possible_translations": [ "ein Haufen", "laden" ] }, "846": { "input": "appointment", "output": "Ernennung", "possible_translations": [ "Termin", "Berufung", "Verabredung", "Ernennung" ] }, "847": { "input": "surprise", "output": "Überraschung", "possible_translations": [ "überraschen", "Überraschung", "Überraschungs-" ] }, "848": { "input": "occupation", "output": "Beschäftigung", "possible_translations": [ "Okkupation", "Beschäftigung", "Besetzung", "Beruf" ] }, "849": { "input": "suicide", "output": "Suizid", "possible_translations": [ "Suizid", "Selbstmord", "Selbstmörder", "Suizident", "Freitod", "Selbstmörderin" ] }, "850": { "input": "dispute", "output": "Streit", "possible_translations": [ "Disput", "Streit" ] }, "851": { "input": "survey", "output": "Untersuchung", "possible_translations": [ "Untersuchung" ] }, "852": { "input": "canal", "output": "Kanal", "possible_translations": [ "Kanal" ] }, "853": { "input": "benefit", "output": "Vorteil", "possible_translations": [ "profitieren", "Benefizkonzert", "von Vorteil sein", "Vorteil", "Leistung", "Benefizveranstaltung" ] }, "854": { "input": "struggle", "output": "Kampf", "possible_translations": [ "sich durchbeißen", "sich schwer tun", "Kampf" ] }, "855": { "input": "fishing", "output": "Fischen", "possible_translations": [ "Fischen", "Fischfang" ] }, "856": { "input": "soil", "output": "Erde", "possible_translations": [ "verschmutzen", "beschmutzen", "Boden", "Erde" ] }, "857": { "input": "balance", "output": "Balance", "possible_translations": [ "Saldo", "im Gleichgewicht halten", "Gleichgewicht", "balancieren", "wiegen", "bilanzieren", "Waage", "ausgleichen", "Balance", "Bilanz", "Ausgewogenheit" ] }, "858": { "input": "schedule", "output": "Termin", "possible_translations": [ "planen", "Termin", "Zeitplan", "Programm" ] }, "859": { "input": "column", "output": "Spalte", "possible_translations": [ "Kolumne", "Spalte", "Säule", "Kolonne" ] }, "860": { "input": "teacher", "output": "Lehrer", "possible_translations": [ "Lehrer", "Lehrerin", "Klassenlehrer", "Klassenlehrerin" ] }, "861": { "input": "brand", "output": "Marke", "possible_translations": [ "Brandzeichen", "Brandmal", "Label", "Zuchtbrand", "Marke" ] }, "862": { "input": "evolution", "output": "Evolution", "possible_translations": [ "Evolution" ] }, "863": { "input": "wedding", "output": "Hochzeit", "possible_translations": [ "Hochzeit" ] }, "864": { "input": "cent", "output": "Cent", "possible_translations": [ "Cent" ] }, "865": { "input": "earth", "output": "Erde", "possible_translations": [ "Grund", "Land", "Bau", "Boden", "Erde", "beerdigen", "erden", "Erdbau", "Erdloch" ] }, "866": { "input": "alignment", "output": "Ausrichtung", "possible_translations": [ "Einstellung", "Fraktion", "Konstellation", "Gruppierung", "Aneinanderreihung", "Abgleich", "Justierung", "Ausrichtung", "Konjunktion", "Allianz", "Zusammenschluss", "Aufreihung", "Parteiengemeinschaft", "gerader Streckenverlauf" ] }, "867": { "input": "faith", "output": "Glaube", "possible_translations": [ "Glaube" ] }, "868": { "input": "concrete", "output": "Beton", "possible_translations": [ "bestimmt", "einbetonieren", "aus Beton", "Beton", "Beton-", "genau", "konkretisieren", "betonieren", "konkret" ] }, "869": { "input": "map", "output": "Stadtplan", "possible_translations": [ "Abbildung", "kartografieren", "Landkarte", "abbilden", "Stadtplan" ] }, "870": { "input": "opponent", "output": "Gegner", "possible_translations": [ "Gegenspieler", "Gegner" ] }, "871": { "input": "foundation", "output": "Gründung", "possible_translations": [ "Gründung", "Fundament", "Foundation", "Grundlage", "Stiftung" ] }, "872": { "input": "copy", "output": "Kopie", "possible_translations": [ "kapieren", "nachmachen", "empfangen", "Kopie", "verstanden", "kopieren" ] }, "873": { "input": "percentage", "output": "Prozentsatz", "possible_translations": [ "prozentualer Anteil", "Prozentsatz" ] }, "874": { "input": "argument", "output": "Argument", "possible_translations": [ "Streitgespräch", "Argument", "Streit", "Diskussion", "Argumentation" ] }, "875": { "input": "ammunition", "output": "Munition", "possible_translations": [ "Munition" ] }, "876": { "input": "arrest", "output": "Verhaftung", "possible_translations": [ "Verhaftung", "festnehmen", "arretieren", "Festnahme", "verhaften", "Arrest" ] }, "877": { "input": "resolution", "output": "Auflösung", "possible_translations": [ "Auflösungsvermögen", "Entschlossenheit", "Entschließung", "Vorsatz", "Standfestigkeit", "Auflösung", "Resolution" ] }, "878": { "input": "disaster", "output": "Desaster", "possible_translations": [ "Desaster" ] }, "879": { "input": "attendance", "output": "Anwesenheit", "possible_translations": [ "Anwesenheit" ] }, "880": { "input": "household", "output": "Haushalt", "possible_translations": [ "Haushalt" ] }, "881": { "input": "restaurant", "output": "Restaurant", "possible_translations": [ "Gaststätte", "Restaurant" ] }, "882": { "input": "honour", "output": "Ehre", "possible_translations": [ "Ehre", "ehren" ] }, "883": { "input": "junction", "output": "Kreuzung", "possible_translations": [ "Knotenpunkt", "Grenzzone", "Kreuzung" ] }, "884": { "input": "funeral", "output": "Bestattung", "possible_translations": [ "Bestattung", "Begräbnis", "Beerdigung", "Beisetzung" ] }, "885": { "input": "affair", "output": "Angelegenheit", "possible_translations": [ "Affäre", "Beziehung", "Scharmützel", "Ding", "Angelegenheit" ] }, "886": { "input": "compilation", "output": "Zusammenstellung", "possible_translations": [ "Sammlung", "Zusammenstellung", "Übersetzen", "Compilierung", "Kompilierung", "Sammelwerk" ] }, "887": { "input": "exit", "output": "Abtritt", "possible_translations": [ "Abwanderung", "Ausfahrt", "Ausgang", "aussteigen", "Tod", "Abtritt", "abgehen", "Exitus", "Austritt", "sterben", "Ausweg", "hinausgehen", "verschwinden", "Ausstieg", "ausgehen" ] }, "888": { "input": "statue", "output": "Statue", "possible_translations": [ "Standbild", "Statue" ] }, "889": { "input": "explosion", "output": "Explosion", "possible_translations": [ "Explosion" ] }, "890": { "input": "professor", "output": "Professor", "possible_translations": [ "Professor", "Professorin" ] }, "891": { "input": "mention", "output": "Erwähnung", "possible_translations": [ "Erwähnung", "erwähnen" ] }, "892": { "input": "oxygen", "output": "Sauerstoff", "possible_translations": [ "Oxygen", "Sauerstoff", "Sauerstoffatom", "Oxygenium" ] }, "893": { "input": "collaboration", "output": "Kollektivarbeit", "possible_translations": [ "Zusammenarbeit", "Kollektivarbeit", "Kollaboration" ] }, "894": { "input": "tunnel", "output": "Tunnel", "possible_translations": [ "Stollen", "Tunnel" ] }, "895": { "input": "pain", "output": "Schmerz", "possible_translations": [ "Schmerz", "schmerzen" ] }, "896": { "input": "entertainment", "output": "Unterhaltung", "possible_translations": [ "Unterhaltung" ] }, "897": { "input": "residence", "output": "Sitz", "possible_translations": [ "Wohnort", "Firmensitz", "Sitz", "Wohnsitz" ] }, "898": { "input": "preparation", "output": "Vorbereitung", "possible_translations": [ "Vorbereitung" ] }, "899": { "input": "alliance", "output": "Allianz", "possible_translations": [ "Verbund", "Allianz", "Zusammenschluss", "Bund", "Verbündeten", "Bündnis" ] }, "900": { "input": "orbit", "output": "Umlaufbahn", "possible_translations": [ "Orbit", "Umlaufbahn", "in Umlaufbahn bringen", "umkreisen" ] }, "901": { "input": "restoration", "output": "Restaurierung", "possible_translations": [ "Restaurierung", "Restauration", "Wiederherstellung" ] }, "902": { "input": "detail", "output": "Detail", "possible_translations": [ "detaillisieren", "Detail", "Einzelheit" ] }, "903": { "input": "wear", "output": "Abnutzung", "possible_translations": [ "sich abnutzen", "tragen", "anhaben", "Abnutzung" ] }, "904": { "input": "partnership", "output": "Partnerschaft", "possible_translations": [ "Partnerschaft" ] }, "905": { "input": "horror", "output": "Horror", "possible_translations": [ "Furcht", "Angst", "Horror", "Grauen" ] }, "906": { "input": "option", "output": "Option", "possible_translations": [ "Option" ] }, "907": { "input": "racing", "output": "Rennen", "possible_translations": [ "Rennen" ] }, "908": { "input": "communication", "output": "Kommunikation", "possible_translations": [ "Verbindung", "Kommunikation", "Durchgang", "Kommunikationsdaten" ] }, "909": { "input": "neck", "output": "Kragen", "possible_translations": [ "Hals", "Kragen", "Nacken", "Genick" ] }, "910": { "input": "transition", "output": "Übergang", "possible_translations": [ "Übergang" ] }, "911": { "input": "engagement", "output": "Verpflichtung", "possible_translations": [ "Bindung", "Verpflichtung", "Verlöbnis", "Gefecht", "Verlobung" ] }, "912": { "input": "walk", "output": "Weg", "possible_translations": [ "Spaziergang", "spazieren gehen", "begleiten", "Weg", "laufen", "freigelassen werden", "ausführen", "gehen", "wegkommen", "wandern", "freikommen" ] }, "913": { "input": "repair", "output": "Reparatur", "possible_translations": [ "reparieren", "Reparatur", "Ausbesserung", "Instandsetzung" ] }, "914": { "input": "ownership", "output": "Besitz", "possible_translations": [ "Besitz" ] }, "915": { "input": "perspective", "output": "Perspektive", "possible_translations": [ "Aussicht", "Perspektive" ] }, "916": { "input": "cargo", "output": "Fracht", "possible_translations": [ "Fracht" ] }, "917": { "input": "bear", "output": "Bär", "possible_translations": [ "Bärin", "liegen", "tragen", "aussagen", "gebären", "erbringen", "Baissier", "ertragen", "ausstehen", "Bär", "bezeugen", "leiden", "Baissespekulant" ] }, "918": { "input": "solution", "output": "Lösung", "possible_translations": [ "Lösung" ] }, "919": { "input": "patrol", "output": "Patrouille", "possible_translations": [ "Patrouille" ] }, "920": { "input": "boundary", "output": "Grenze", "possible_translations": [ "Grenze", "Rand" ] }, "921": { "input": "occasion", "output": "Gelegenheit", "possible_translations": [ "Anlass", "Gelegenheit" ] }, "922": { "input": "militia", "output": "Miliz", "possible_translations": [ "Miliz" ] }, "923": { "input": "armament", "output": "Ausrüstung", "possible_translations": [ "Rüstung", "Kriegsstärke", "Ausrüstung" ] }, "924": { "input": "bowling", "output": "Bowling", "possible_translations": [ "Bowling" ] }, "925": { "input": "crown", "output": "Krone", "possible_translations": [ "Scheitel", "Krone", "kronen-", "krönen" ] }, "926": { "input": "comparison", "output": "Vergleich", "possible_translations": [ "Komparation", "Steigerung", "Gegenüberstellung", "Abgleich", "Vergleichbarkeit", "Vergleich" ] }, "927": { "input": "flagship", "output": "Flaggschiff", "possible_translations": [ "Flaggschiff" ] }, "928": { "input": "jazz", "output": "Jazz", "possible_translations": [ "Jazz" ] }, "929": { "input": "bed", "output": "Lager", "possible_translations": [ "Grund", "Fläche", "Auflagefläche", "Boden", "Beet", "Ladefläche", "sich betten", "schlafen gehen", "Bett", "Lager", "Auflager", "Bank" ] }, "930": { "input": "application", "output": "Anwendung", "possible_translations": [ "Antrag", "Anwendung" ] }, "931": { "input": "agency", "output": "Wille", "possible_translations": [ "Agentur", "Agency", "Handlungsfähigkeit", "Wille" ] }, "932": { "input": "satellite", "output": "Begleiter", "possible_translations": [ "Satellit", "Begleiter", "Trabant", "Gefolgsmann", "Orbiter", "umkreisender Raumflugkörper" ] }, "933": { "input": "truth", "output": "Wahrheit", "possible_translations": [ "Treue", "Wahrheit" ] }, "934": { "input": "palace", "output": "Palast ; Schloss", "possible_translations": [ "Palast ; Schloss" ] }, "935": { "input": "storage", "output": "Speicher", "possible_translations": [ "Speicher", "Lagerung", "Lager", "Speicherung" ] }, "936": { "input": "frame", "output": "Frame", "possible_translations": [ "Bild", "Gerüst", "einrahmen", "Frame", "einfassen", "formulieren", "formen", "Figur", "hereinlegen", "reinlegen", "rahmen", "Rahmen", "entwerfen", "festlegen", "ausarbeiten", "jemandem etwas anhängen", "Gestalt" ] }, "937": { "input": "flank", "output": "Flanke", "possible_translations": [ "in der Flanke angreifen", "flankieren", "Flanke" ] }, "938": { "input": "exhibition", "output": "Ausstellung", "possible_translations": [ "Ausstellung" ] }, "939": { "input": "monument", "output": "Denkmal", "possible_translations": [ "Monument", "Denkmal" ] }, "940": { "input": "predecessor", "output": "Vorgänger", "possible_translations": [ "Vorgängerin", "Vorgänger" ] }, "941": { "input": "surgery", "output": "Chirurgie", "possible_translations": [ "Operation", "Chirurgie", "Praxis" ] }, "942": { "input": "poll", "output": "Umfrage", "possible_translations": [ "Umfrage" ] }, "943": { "input": "philosophy", "output": "Philosophie", "possible_translations": [ "Philosophie" ] }, "944": { "input": "adventure", "output": "Abenteuer", "possible_translations": [ "Abenteuer", "Wagnis" ] }, "945": { "input": "apartment", "output": "Wohnung", "possible_translations": [ "Wohnung", "Appartement" ] }, "946": { "input": "dollar", "output": "Dollar", "possible_translations": [ "Dollar" ] }, "947": { "input": "protest", "output": "Demonstration", "possible_translations": [ "Einspruch erheben", "Protest", "protestieren", "demonstrieren", "Demonstration", "Einwände äußern" ] }, "948": { "input": "layer", "output": "Schicht", "possible_translations": [ "Lage", "Bekleidungsschicht", "Legehenne", "Kindel", "Schicht", "Ableger", "Absenker", "schichten" ] }, "949": { "input": "catch", "output": "Fang", "possible_translations": [ "begreifen", "Fang", "Haken", "bekommen", "fangen", "verstehen", "erwischen" ] }, "950": { "input": "gap", "output": "Spalt", "possible_translations": [ "Spalt", "Spalte", "Ritze", "Ritz" ] }, "951": { "input": "phone", "output": "Telefon", "possible_translations": [ "Fonem", "telefonieren", "anrufen", "Telephon", "Phonem", "Fernsprecher", "Telefon" ] }, "952": { "input": "context", "output": "Kontext", "possible_translations": [ "Kontext", "Zusammenhang" ] }, "953": { "input": "casting", "output": "Gießen", "possible_translations": [ "Guss", "Gießen", "Casting" ] }, "954": { "input": "protein", "output": "Protein", "possible_translations": [ "Eiweiß", "Protein" ] }, "955": { "input": "reconnaissance", "output": "Aufklärung", "possible_translations": [ "Aufklärung", "Kundschaft" ] }, "956": { "input": "spin", "output": "Spritztour", "possible_translations": [ "spinnen", "Drall", "Schönfärberei", "Zurechtlegung", "Trudeln", "passende Auslegung", "rotieren", "Spritztour", "beschönigen", "Beschönigung", "Spin", "drehen", "positiv darstellen", "schönreden" ] }, "957": { "input": "legacy", "output": "Erbe", "possible_translations": [ "Erbe", "Wirken" ] }, "958": { "input": "drum", "output": "Trommel", "possible_translations": [ "Fass", "einpauken", "trommeln", "Trommel", "einbläuen" ] }, "959": { "input": "typhoon", "output": "Taifun", "possible_translations": [ "Taifun" ] }, "960": { "input": "justice", "output": "Gerechtigkeit", "possible_translations": [ "Gerechtigkeit" ] }, "961": { "input": "illness", "output": "Krankheit", "possible_translations": [ "Krankheit" ] }, "962": { "input": "shipping", "output": "Schifffahrt", "possible_translations": [ "Schifffahrt" ] }, "963": { "input": "merchant", "output": "Kaufmann", "possible_translations": [ "Kauffrau", "Kaufmann" ] }, "964": { "input": "revenue", "output": "Einkommen", "possible_translations": [ "Einnahmen", "Einkommen" ] }, "965": { "input": "bombing", "output": "Bombardierung", "possible_translations": [ "Bombenanschlag", "Bombenanschläge", "Bombardierung" ] }, "966": { "input": "fund", "output": "Kapital", "possible_translations": [ "Kapital", "Fonds", "finanzieren" ] }, "967": { "input": "console", "output": "Konsole", "possible_translations": [ "trösten", "Konsole" ] }, "968": { "input": "bow", "output": "Bogen", "possible_translations": [ "Verbeugung", "Bogen", "sich biegen", "Bug", "sich verbiegen", "sich verbeugen", "eine Verbeugung machen", "streichen", "Schleife" ] }, "969": { "input": "definition", "output": "Definition", "possible_translations": [ "Schärfe", "Präzision", "Begriffserklärung", "Konturentreue", "Definierung", "Trennschärfe", "Scharfzeichnung", "Definition" ] }, "970": { "input": "meat", "output": "Fleisch", "possible_translations": [ "Fleisch" ] }, "971": { "input": "guitarist", "output": "Gitarrenspieler", "possible_translations": [ "Gitarristin", "Gitarrenspielerin", "Gitarrist", "Gitarrenspieler" ] }, "972": { "input": "marketing", "output": "Marketing", "possible_translations": [ "Marketing" ] }, "973": { "input": "factory", "output": "Fabrik", "possible_translations": [ "Fabrik", "Manufaktur", "Werk" ] }, "974": { "input": "mining", "output": "Bergbau", "possible_translations": [ "Bergbau" ] }, "975": { "input": "bonus", "output": "Bonus", "possible_translations": [ "Dreingabe", "Bonus", "Prämie" ] }, "976": { "input": "theater", "output": "Theater", "possible_translations": [ "Theatergebäude", "Schauspielhaus", "Theaterhaus", "Theater" ] }, "977": { "input": "signal", "output": "Signal", "possible_translations": [ "signalisieren", "Signal" ] }, "978": { "input": "clothing", "output": "Kleidung", "possible_translations": [ "Kleidung" ] }, "979": { "input": "delivery", "output": "Lieferung", "possible_translations": [ "Entbindung", "Geburt", "Lieferung" ] }, "980": { "input": "coin", "output": "Chip", "possible_translations": [ "Chip", "Münze", "prägen", "Geldstück" ] }, "981": { "input": "elevation", "output": "Erhebung", "possible_translations": [ "Aufriss", "Erhebung", "Elevation", "Hebung", "Erheben", "Höhenwinkel", "Höhe" ] }, "982": { "input": "flood", "output": "Flut", "possible_translations": [ "Überflutung", "Überschwemmung", "überschwemmen", "überfluten", "Hochwasser", "überfüllen", "Flut" ] }, "983": { "input": "punk", "output": "Punk", "possible_translations": [ "Punk" ] }, "984": { "input": "organ", "output": "Organ", "possible_translations": [ "Orgel", "Organ" ] }, "985": { "input": "affect", "output": "Affekt", "possible_translations": [ "vortäuschen", "fingieren", "rühren", "bewegen", "beeinflussen", "Affekt" ] }, "986": { "input": "architect", "output": "Architekt", "possible_translations": [ "Architekt", "Architektin" ] }, "987": { "input": "legislature", "output": "Legislative", "possible_translations": [ "Legislative", "gesetzgebende Gewalt" ] }, "988": { "input": "musician", "output": "Musikant", "possible_translations": [ "Musiker", "Musikerin", "Musikant" ] }, "989": { "input": "diet", "output": "Diät", "possible_translations": [ "Nahrung", "Kost", "Kokkai", "Parlament", "Versammlung", "Ernährung", "Diät" ] }, "990": { "input": "conversion", "output": "Umwandlung", "possible_translations": [ "Umwandlung" ] }, "991": { "input": "concentration", "output": "Konzentration", "possible_translations": [ "Konzentration" ] }, "992": { "input": "aftermath", "output": "Nachernte", "possible_translations": [ "Nachwirkung", "Nachernte", "Folge" ] }, "993": { "input": "baby", "output": "mein Süßer", "possible_translations": [ "Kleinkind", "Schätzchen", "meine Süße", "mein Süßer", "Baby", "Säugling", "mein Schatz" ] }, "994": { "input": "danger", "output": "Gefahr", "possible_translations": [ "Risiko", "Bedrohung", "Gefahr" ] }, "995": { "input": "wrestling", "output": "Ringkampf", "possible_translations": [ "Ringkampf", "Ringen" ] }, "996": { "input": "string", "output": "Zeichenkette", "possible_translations": [ "einfädeln", "String", "Schnur", "Zeichenkette", "auffädeln", "Saite" ] }, "997": { "input": "meter", "output": "Messgerät", "possible_translations": [ "Messgerät" ] }, "998": { "input": "sub", "output": "U-Boot", "possible_translations": [ "U-Boot", "Atom-U-Boot" ] }, "999": { "input": "removal", "output": "Entlassung", "possible_translations": [ "Entlassung", "Umzug" ] }, "1000": { "input": "interpretation", "output": "Interpretation", "possible_translations": [ "Dolmetschen", "Deutung", "Interpretation" ] }, "1001": { "input": "venue", "output": "Schauplatz", "possible_translations": [ "Schauplatz", "Örtlichkeit", "Stätte", "Austragungsort" ] }, "1002": { "input": "cult", "output": "Sekte", "possible_translations": [ "Kult", "Kult-", "Kultus", "Sekte" ] }, "1003": { "input": "encounter", "output": "Begegnung", "possible_translations": [ "Begegnung", "begegnen", "treffen", "Treffen" ] }, "1004": { "input": "publishing", "output": "Verlagswesen", "possible_translations": [ "Verlagswesen" ] }, "1005": { "input": "remix", "output": "Remix", "possible_translations": [ "Remix" ] }, "1006": { "input": "quarterback", "output": "Quarterback", "possible_translations": [ "Quarterback" ] }, "1007": { "input": "rebellion", "output": "Rebellion", "possible_translations": [ "Aufstand", "Rebellion" ] }, "1008": { "input": "panel", "output": "Diskussionsrunde", "possible_translations": [ "Platte", "Diskussionsrunde", "Verkleidung", "Panel" ] }, "1009": { "input": "announcement", "output": "Ankündigung", "possible_translations": [ "Ankündigung" ] }, "1010": { "input": "soldier", "output": "Bausoldat", "possible_translations": [ "Soldat", "Soldatin", "Bausoldat" ] }, "1011": { "input": "fantasy", "output": "Fantasie", "possible_translations": [ "Fantasy", "Fantasie" ] }, "1012": { "input": "discussion", "output": "Diskussion", "possible_translations": [ "Diskussion" ] }, "1013": { "input": "behaviour", "output": "Verhalten", "possible_translations": [ "Verhalten", "Betragen", "Benehmen", "Führung", "Verhaltensweise" ] }, "1014": { "input": "loan", "output": "Anleihe", "possible_translations": [ "ausleihen", "leihen", "Anleihe", "Darlehen", "Darlehensvertrag" ] }, "1015": { "input": "roll", "output": "das Rollen", "possible_translations": [ "das Grollen", "wirbeln", "die Namensliste", "die Liste", "das Schlingern", "die Schrippe", "das Register", "rollen", "walzen; ausrollen", "aufrollen; aufwickeln", "laufen", "das Rollen ; das Drehen; das Walzen", "das Brötchen; der Semmel", "die Walze", "das Rollen" ] }, "1016": { "input": "aspect", "output": "Aspekt", "possible_translations": [ "Aspekt" ] }, "1017": { "input": "talent", "output": "Talent", "possible_translations": [ "Begabung", "Talent" ] }, "1018": { "input": "landscape", "output": "Landschaft", "possible_translations": [ "Querformat", "Landschaft" ] }, "1019": { "input": "withdrawal", "output": "Entzug", "possible_translations": [ "Entnahme", "Entzug" ] }, "1020": { "input": "angle", "output": "Winkel", "possible_translations": [ "angeln", "Winkel", "Blickwinkel", "Ecke" ] }, "1021": { "input": "margin", "output": "Seitenrand", "possible_translations": [ "Marge", "Gewinnspanne", "Seitenrand", "Gewinnmarge" ] }, "1022": { "input": "circle", "output": "Kreis", "possible_translations": [ "kreisen", "einkreisen", "Kreis", "Zirkel", "umkreisen" ] }, "1023": { "input": "trouble", "output": "Schwierigkeit", "possible_translations": [ "Schwierigkeit", "Bemühung", "Ärger", "Anstrengung", "bekümmern", "belästigen", "beunruhigen", "Sorge", "Mühe", "Störung", "Ungemach" ] }, "1024": { "input": "exposure", "output": "Belichtung", "possible_translations": [ "Lage", "Witterung", "Belichtung", "Einwirkung", "Kontakt" ] }, "1025": { "input": "specimen", "output": "Exemplar", "possible_translations": [ "Muster", "Probe", "Spezimen", "Exemplar" ] }, "1026": { "input": "density", "output": "Dichte", "possible_translations": [ "Dichte", "Wahrscheinlichkeit", "Massendichte" ] }, "1027": { "input": "pool", "output": "Becken", "possible_translations": [ "Pfütze", "Becken", "Lache" ] }, "1028": { "input": "constitution", "output": "Verfassung", "possible_translations": [ "Konstitution", "Verfassung", "Verfassen", "Grundgesetz" ] }, "1029": { "input": "beam", "output": "Balken", "possible_translations": [ "strahlen", "Balken", "Strahl", "beamen" ] }, "1030": { "input": "shift", "output": "Verschiebung", "possible_translations": [ "verstellen", "Umschalttaste", "Umschalten", "Shifttaste", "Gangschaltung", "Schaltung", "Verstellung", "Verlagerung", "verschieben", "Schicht", "Hochstelltaste", "verlagern", "Shift", "Verschiebung", "umschalten" ] }, "1031": { "input": "duo", "output": "Duo", "possible_translations": [ "Duo" ] }, "1032": { "input": "membership", "output": "Mitgliedschaft", "possible_translations": [ "Mitgliedschaft" ] }, "1033": { "input": "loop", "output": "Schleife", "possible_translations": [ "Schleife", "Schlaufe" ] }, "1034": { "input": "plate", "output": "Gang", "possible_translations": [ "Platte", "Nummernschild", "Kennzeichen", "überziehen", "Teller", "Druckstock", "Gang" ] }, "1035": { "input": "magic", "output": "Magie", "possible_translations": [ "Magie", "Zauber", "Zauberei", "magisch" ] }, "1036": { "input": "expression", "output": "Ausdruck", "possible_translations": [ "Ausdruck", "Redensart" ] }, "1037": { "input": "skull", "output": "Schädel", "possible_translations": [ "Kranium", "Schädel", "Totenkopf" ] }, "1038": { "input": "emphasis", "output": "Betonung", "possible_translations": [ "Betonung", "Emphase", "Nachdruck", "Gewichtung" ] }, "1039": { "input": "alcohol", "output": "Alkohol", "possible_translations": [ "Branntwein", "Alkohol", "Weingeist" ] }, "1040": { "input": "exercise", "output": "Übung", "possible_translations": [ "trainieren", "üben", "Übung", "Training", "Sport" ] }, "1041": { "input": "basin", "output": "Becken", "possible_translations": [ "Becken", "Waschbecken" ] }, "1042": { "input": "assembly", "output": "Versammlung", "possible_translations": [ "Baugruppe", "Versammlung" ] }, "1043": { "input": "prize", "output": "Preis", "possible_translations": [ "Preis" ] }, "1044": { "input": "sole", "output": "Sohle", "possible_translations": [ "unverheiratet", "Fußsohle", "ledig", "besohlen", "alleinstehend", "einzig", "Seezunge", "Sohle" ] }, "1045": { "input": "portrayal", "output": "Abbild", "possible_translations": [ "Abbild" ] }, "1046": { "input": "bid", "output": "Gebot", "possible_translations": [ "bieten", "melden", "Gebot", "reizen" ] }, "1047": { "input": "advertising", "output": "Werbung", "possible_translations": [ "Werbung" ] }, "1048": { "input": "regime", "output": "Regime", "possible_translations": [ "Regime" ] }, "1049": { "input": "birthday", "output": "Geburtstag", "possible_translations": [ "Geburtsdatum", "Geburtstag" ] }, "1050": { "input": "employment", "output": "Gebrauch", "possible_translations": [ "Gebrauch", "Beschäftigung", "Anstellung", "Benützung", "Erwerbstätigkeit", "Arbeit" ] }, "1051": { "input": "jury", "output": "Geschworene", "possible_translations": [ "Jury", "Geschworene" ] }, "1052": { "input": "attitude", "output": "Haltung", "possible_translations": [ "Orientierung", "Einstellung", "Ausrichtung", "Haltung" ] }, "1053": { "input": "hydrogen", "output": "Wasserstoff", "possible_translations": [ "Wasserstoffatom", "Wasserstoff", "Hydrogenium", "Hydrogen" ] }, "1054": { "input": "software", "output": "Software", "possible_translations": [ "Software" ] }, "1055": { "input": "translation", "output": "Übersetzung", "possible_translations": [ "Translation", "Untersetzung", "Übersetzen", "Übersetzung" ] }, "1056": { "input": "cousin", "output": "entfernter Verwandter", "possible_translations": [ "Kusine", "Cousine", "Cousin", "entfernte Verwandte", "Vetter", "Base", "entfernter Verwandter" ] }, "1057": { "input": "swimming", "output": "Schwimmen", "possible_translations": [ "Schwimmen" ] }, "1058": { "input": "commentary", "output": "Kommentar", "possible_translations": [ "Kommentar" ] }, "1059": { "input": "lawyer", "output": "Rechtsanwalt", "possible_translations": [ "Rechtsanwalt" ] }, "1060": { "input": "execution", "output": "Ausführung", "possible_translations": [ "Ausführung", "Hinrichtung" ] }, "1061": { "input": "terrain", "output": "Terrain", "possible_translations": [ "Terrain", "Gelände", "Land" ] }, "1062": { "input": "duration", "output": "Dauer", "possible_translations": [ "Dauer" ] }, "1063": { "input": "tenure", "output": "Amtszeit", "possible_translations": [ "Bekleidung", "Besitztitel", "Amtszeit", "Besitzanspruch", "Besitz", "Innehaben" ] }, "1064": { "input": "friendship", "output": "Freundschaft", "possible_translations": [ "Freundschaft" ] }, "1065": { "input": "dream", "output": "Traum", "possible_translations": [ "Wunsch", "Traum", "wünschen", "träumen" ] }, "1066": { "input": "succession", "output": "Thronfolge", "possible_translations": [ "Thronfolge", "Abfolge" ] }, "1067": { "input": "bone", "output": "Knochen", "possible_translations": [ "Bein", "bumsen", "Gebeine", "nageln", "Gräte", "ficken", "vögeln", "Knochen", "entbeinen", "ausbeinen", "Fischgräte", "poppen" ] }, "1068": { "input": "rhythm", "output": "Rhythmus", "possible_translations": [ "Rhythmus" ] }, "1069": { "input": "shop", "output": "Laden", "possible_translations": [ "einkaufen", "Werkstatt", "Laden", "Geschäft" ] }, "1070": { "input": "publisher", "output": "Herausgeber", "possible_translations": [ "Herausgeber", "Herausgeberin", "Verlag" ] }, "1071": { "input": "component", "output": "Komponente", "possible_translations": [ "Komponente" ] }, "1072": { "input": "uncle", "output": "Onkel", "possible_translations": [ "Onkel", "Oheim" ] }, "1073": { "input": "parliament", "output": "Parlament", "possible_translations": [ "Parlament" ] }, "1074": { "input": "sun", "output": "Sonne", "possible_translations": [ "Sonne" ] }, "1075": { "input": "precipitation", "output": "Präzipitation", "possible_translations": [ "Niederschlag", "Präzipitation" ] }, "1076": { "input": "slavery", "output": "Sklaverei", "possible_translations": [ "Sklaverei" ] }, "1077": { "input": "tube", "output": "Rohr", "possible_translations": [ "Tube", "Rohr", "Röhre" ] }, "1078": { "input": "radiation", "output": "Strahlung", "possible_translations": [ "Strahlung", "Radiation" ] }, "1079": { "input": "virus", "output": "Computervirus", "possible_translations": [ "Computervirus", "Virus" ] }, "1080": { "input": "contribution", "output": "Beitrag", "possible_translations": [ "Beitrag", "Beitragen", "finanzieller Beitrag" ] }, "1081": { "input": "earthquake", "output": "Erdbeben", "possible_translations": [ "Erdbeben" ] }, "1082": { "input": "scholar", "output": "Gelehrte", "possible_translations": [ "Gelehrte" ] }, "1083": { "input": "songwriter", "output": "Songwriter", "possible_translations": [ "Songwriter", "Liedermacher" ] }, "1084": { "input": "debt", "output": "Schulden", "possible_translations": [ "Schulden", "Verpflichtung", "Verbindlichkeit", "Schuld" ] }, "1085": { "input": "ticket", "output": "Ticket", "possible_translations": [ "Karte", "Fahrschein", "Fahrkarte", "Fahrausweis", "Billett", "Strafzettel", "Billet", "Schein", "Eintrittskarte", "Ticket" ] }, "1086": { "input": "frequency", "output": "Häufigkeit", "possible_translations": [ "Häufigkeit", "Regelmäßigkeit", "Frequenz" ] }, "1087": { "input": "coat", "output": "Beschichtung", "possible_translations": [ "Mantel", "Beschichtung", "beschichten" ] }, "1088": { "input": "destroyer", "output": "Zerstörer", "possible_translations": [ "Zerstörer" ] }, "1089": { "input": "doctor", "output": "Doktor", "possible_translations": [ "Ärztin", "Doktor", "Mediziner", "doktorieren", "Medizinerin", "Doktorin", "Arzt" ] }, "1090": { "input": "profit", "output": "Gewinn", "possible_translations": [ "profitieren", "Profit", "Gewinn" ] }, "1091": { "input": "trust", "output": "Vertrauen", "possible_translations": [ "vertrauen", "anschreiben", "Vertrauen", "Hoffnung" ] }, "1092": { "input": "touch", "output": "Berührung", "possible_translations": [ "Spur", "Tasten", "berühren", "Berührung" ] }, "1093": { "input": "ballad", "output": "Ballade", "possible_translations": [ "Ballade" ] }, "1094": { "input": "bay", "output": "Golf", "possible_translations": [ "Lorbeerblatt", "Meerbusen", "Bucht", "Lorbeer", "Golf" ] }, "1095": { "input": "investment", "output": "Investition", "possible_translations": [ "Investition" ] }, "1096": { "input": "cannon", "output": "Kanone", "possible_translations": [ "Kanone" ] }, "1097": { "input": "voting", "output": "Abstimmung", "possible_translations": [ "Abstimmung" ] }, "1098": { "input": "trough", "output": "Trog", "possible_translations": [ "Trog", "Dachrinne", "Futtertrog", "Mulden", "Wellental" ] }, "1099": { "input": "photography", "output": "Fotografie", "possible_translations": [ "Fotografie" ] }, "1100": { "input": "parody", "output": "Parodie", "possible_translations": [ "parodieren", "Parodie" ] }, "1101": { "input": "phrase", "output": "Redewendung", "possible_translations": [ "formulieren", "Phrase", "Redewendung" ] }, "1102": { "input": "trail", "output": "Spur", "possible_translations": [ "folgen", "Spur", "nacheilen", "verfolgen", "Weg", "nachsetzen", "Pfad", "ziehen", "schleifen", "nachstellen", "eine Spur hinter sich lassen", "schleppen", "zurücklassen" ] }, "1103": { "input": "reduction", "output": "Reduktion", "possible_translations": [ "Reduktion", "Reduzierung" ] }, "1104": { "input": "ruler", "output": "Lineal", "possible_translations": [ "Lineal", "Herrscher" ] }, "1105": { "input": "confidence", "output": "Zuversicht", "possible_translations": [ "Vertrauen", "Vertraulichkeit", "Zutrauen", "Zuversicht", "Selbstvertrauen" ] }, "1106": { "input": "shoulder", "output": "Schulter", "possible_translations": [ "Schulter", "Standstreifen", "schultern" ] }, "1107": { "input": "survival", "output": "Überleben", "possible_translations": [ "Überleben" ] }, "1108": { "input": "signature", "output": "Unterschrift", "possible_translations": [ "Unterschrift" ] }, "1109": { "input": "communist", "output": "Kommunist", "possible_translations": [ "kommunistisch", "Kommunistin", "Kommunist" ] }, "1110": { "input": "uranium", "output": "Uran", "possible_translations": [ "Uran" ] }, "1111": { "input": "melody", "output": "Melodie", "possible_translations": [ "Melodie" ] }, "1112": { "input": "copper", "output": "Kupfer", "possible_translations": [ "Kupfer", "kupferfarbig", "kupferfarben", "Kupferfarbe", "kupfern" ] }, "1113": { "input": "wish", "output": "Wunsch", "possible_translations": [ "wünschen", "Wunsch" ] }, "1114": { "input": "minority", "output": "Minderheit", "possible_translations": [ "Minderheit" ] }, "1115": { "input": "document", "output": "Unterlagen", "possible_translations": [ "Aktenstück", "Unterlagen", "Dokument", "dokumentieren" ] }, "1116": { "input": "instrument", "output": "Instrument", "possible_translations": [ "Musikinstrument", "Dokument", "Meßinstrument", "Handlanger", "Werkzeug", "Instrument", "Urkunde" ] }, "1117": { "input": "revolt", "output": "Revolte", "possible_translations": [ "Revolte", "revoltieren" ] }, "1118": { "input": "tip", "output": "Spitze", "possible_translations": [ "Tipp", "Spitze", "ein Trinkgeld geben", "Trinkgeld" ] }, "1119": { "input": "escort", "output": "Eskorte", "possible_translations": [ "Eskorte", "eskortieren" ] }, "1120": { "input": "programming", "output": "Programmierung", "possible_translations": [ "Programmieren", "Programmierung" ] }, "1121": { "input": "conservation", "output": "Schutz", "possible_translations": [ "Erhaltung", "Bewahrung", "Konservierung", "Schutz" ] }, "1122": { "input": "sky", "output": "Luft", "possible_translations": [ "Luft", "Himmel" ] }, "1123": { "input": "representation", "output": "Repräsentation", "possible_translations": [ "Repräsentation", "Darstellung" ] }, "1124": { "input": "hole", "output": "Loch", "possible_translations": [ "Loch" ] }, "1125": { "input": "prisoner", "output": "Gefangener", "possible_translations": [ "Gefangene", "Gefangener" ] }, "1126": { "input": "autumn", "output": "Herbst", "possible_translations": [ "Herbst-", "herbstlich", "Herbst" ] }, "1127": { "input": "stream", "output": "Strom", "possible_translations": [ "Strom", "Bach" ] }, "1128": { "input": "abuse", "output": "Missbrauch", "possible_translations": [ "Misshandlung", "Beschimpfung", "Mißhandlung", "Missbrauch", "vergewaltigen", "beleidigen", "Beleidigung", "Mißbrauch", "missbrauchen", "Schmähung", "beschimpfen" ] }, "1129": { "input": "chair", "output": "Vorsitzender", "possible_translations": [ "Vorsitzender", "Stuhl", "Vorsitz führen" ] }, "1130": { "input": "sample", "output": "Probe", "possible_translations": [ "Muster", "Probe", "kosten", "probieren" ] }, "1131": { "input": "warfare", "output": "Kriegsführung", "possible_translations": [ "Kriegsführung" ] }, "1132": { "input": "rivalry", "output": "Rivalität", "possible_translations": [ "Rivalität" ] }, "1133": { "input": "biographer", "output": "Biograf", "possible_translations": [ "Biograf" ] }, "1134": { "input": "waste", "output": "Verfall", "possible_translations": [ "Müll", "Einöde", "wüst", "Verschwendung", "Verfall", "öde", "verfallen", "verschwenden", "töten", "überflüssig", "verwüsten" ] }, "1135": { "input": "experiment", "output": "Experiment", "possible_translations": [ "experimentieren", "Experiment", "Versuch" ] }, "1136": { "input": "guide", "output": "Reiseleiter", "possible_translations": [ "Reiseleiterin", "Reiseleiter", "Fremdenführer", "führen", "Fremdenführerin" ] }, "1137": { "input": "medicine", "output": "Medizin", "possible_translations": [ "Medikament", "Medizin", "Arznei" ] }, "1138": { "input": "participation", "output": "Partizipation", "possible_translations": [ "Teilnahme", "Partizipation", "Beteiligung" ] }, "1139": { "input": "slave", "output": "Sklave", "possible_translations": [ "Slave", "Sexsklavin", "Sexsklave", "Sklavin", "Sklave", "Folgegerät" ] }, "1140": { "input": "transportation", "output": "Beförderung", "possible_translations": [ "Beförderung", "Transport" ] }, "1141": { "input": "liquid", "output": "Flüssigkeit", "possible_translations": [ "flüssig", "Flüssigkeit", "disponibel" ] }, "1142": { "input": "institution", "output": "Institution", "possible_translations": [ "Institution" ] }, "1143": { "input": "parent", "output": "Elternteil", "possible_translations": [ "Elternteil" ] }, "1144": { "input": "salary", "output": "Gehalt", "possible_translations": [ "Gehalt" ] }, "1145": { "input": "recovery", "output": "Wiedererlangung", "possible_translations": [ "Genesung", "Gesundung", "Wiederherstellung", "Wiedererlangung", "Zurückgewinnung", "Wiedergewinnung", "Erholung" ] }, "1146": { "input": "count", "output": "Graf", "possible_translations": [ "Anzahl", "Graf", "zählen" ] }, "1147": { "input": "doubt", "output": "Zweifel", "possible_translations": [ "bezweifeln", "Zweifel", "zweifeln" ] }, "1148": { "input": "revolution", "output": "Revolution", "possible_translations": [ "Umdrehung", "Revolution" ] }, "1149": { "input": "cinema", "output": "Kino", "possible_translations": [ "Kino", "Filmindustrie", "Lichtspielhaus", "Film", "Filmtheater" ] }, "1150": { "input": "cloud", "output": "Wolke", "possible_translations": [ "verschleiern", "Gewölk", "Wolke", "Schleier" ] }, "1151": { "input": "drummer", "output": "Schlagzeuger", "possible_translations": [ "Schlagzeugerin", "Trommlerin", "Schlagzeuger", "Trommler" ] }, "1152": { "input": "cabinet", "output": "Kabinett", "possible_translations": [ "Kabinett", "Schrank" ] }, "1153": { "input": "significance", "output": "Bedeutung", "possible_translations": [ "Signifikanz", "Bedeutung" ] }, "1154": { "input": "neighborhood", "output": "Nachbarschaft", "possible_translations": [ "Umgebung", "ungefähr", "Nachbarschaft", "im Bereich von", "Quartier", "Kiez", "Viertel", "Stadtteil" ] }, "1155": { "input": "compound", "output": "Mischung", "possible_translations": [ "Mischung", "chemische Verbindung", "Verbindung" ] }, "1156": { "input": "legend", "output": "Legende", "possible_translations": [ "Legende" ] }, "1157": { "input": "jump", "output": "Sprung", "possible_translations": [ "Sprung", "springen" ] }, "1158": { "input": "inclusion", "output": "Einschluss", "possible_translations": [ "Einschluss" ] }, "1159": { "input": "tale", "output": "Märchen", "possible_translations": [ "Geschichte", "Erzählung", "Sage", "Märchen" ] }, "1160": { "input": "wealth", "output": "Fülle", "possible_translations": [ "Reichtum", "Vermögen", "Fülle" ] }, "1161": { "input": "mate", "output": "Mate", "possible_translations": [ "Mate", "Matt", "Maat", "Kumpel", "sich paaren" ] }, "1162": { "input": "journal", "output": "Tagebuch", "possible_translations": [ "Logbuch", "Tagebuch", "Zeitschrift", "Journal" ] }, "1163": { "input": "grandfather", "output": "Großvater", "possible_translations": [ "Großvater mütterlicherseits", "Opa", "Großvater", "Großvater väterlicherseits", "Opi" ] }, "1164": { "input": "summit", "output": "Gipfeltreffen", "possible_translations": [ "Gipfel", "Gipfeltreffen" ] }, "1165": { "input": "descent", "output": "Herkunft", "possible_translations": [ "Herkunft" ] }, "1166": { "input": "gender", "output": "Geschlecht", "possible_translations": [ "Geschlecht" ] }, "1167": { "input": "sentence", "output": "Urteil", "possible_translations": [ "verurteilen", "Verurteilung", "Satz", "Strafe", "Schuldspruch", "Urteil" ] }, "1168": { "input": "beauty", "output": "Schönheit", "possible_translations": [ "Prachtstück", "Schönheit", "Schöne" ] }, "1169": { "input": "heritage", "output": "Geburtsrecht", "possible_translations": [ "Geburtsrecht", "Erbe", "Erbschaft" ] }, "1170": { "input": "altitude", "output": "Höhe", "possible_translations": [ "Höhe" ] }, "1171": { "input": "trend", "output": "Trend", "possible_translations": [ "Tendenz", "Trend" ] }, "1172": { "input": "presentation", "output": "Vortrag", "possible_translations": [ "Vorstellung", "Präsentation", "Vortrag" ] }, "1173": { "input": "agriculture", "output": "Landwirtschaft", "possible_translations": [ "Ackerbau", "Landwirtschaft" ] }, "1174": { "input": "resident", "output": "Assistentarzt", "possible_translations": [ "Assistentarzt", "Bewohner", "Einwohnerin", "Bewohnerin", "Einwohner" ] }, "1175": { "input": "sailing", "output": "Segeln", "possible_translations": [ "Segeln", "segeln" ] }, "1176": { "input": "intervention", "output": "Intervention", "possible_translations": [ "Intervention" ] }, "1177": { "input": "fame", "output": "Ruhm", "possible_translations": [ "Ruhm" ] }, "1178": { "input": "tribe", "output": "Stamm", "possible_translations": [ "Sippschaft", "Völklein", "Volksstamm", "Völkerschaft", "Völkchen", "Stamm", "Sippe", "Volk", "Tribus" ] }, "1179": { "input": "mythology", "output": "Mythologie", "possible_translations": [ "Mythologie" ] }, "1180": { "input": "wine", "output": "Wein", "possible_translations": [ "weinrot", "mit Wein traktieren", "Wein trinken", "Wein" ] }, "1181": { "input": "confusion", "output": "Verwirrung", "possible_translations": [ "Durcheinander", "Verwirrung", "Missverständnis" ] }, "1182": { "input": "error", "output": "Fehler", "possible_translations": [ "Irrtum", "Fehler" ] }, "1183": { "input": "answer", "output": "Antwort", "possible_translations": [ "Lösung", "antworten", "Antwort" ] }, "1184": { "input": "worship", "output": "Verehrung", "possible_translations": [ "Anbetung", "Gottesdienst", "verehren", "anbeten", "Verehrung" ] }, "1185": { "input": "fate", "output": "Schicksal", "possible_translations": [ "Schicksal", "Geschick", "Los" ] }, "1186": { "input": "sight", "output": "Sehvermögen", "possible_translations": [ "anvisieren", "Sehen", "erblicken", "Sehenswürdigkeit", "Sehvermögen", "sehen", "Visier" ] }, "1187": { "input": "jurisdiction", "output": "Jurisdiktion", "possible_translations": [ "Jurisdiktion" ] }, "1188": { "input": "knee", "output": "Knie", "possible_translations": [ "Knie", "Kniefall" ] }, "1189": { "input": "observation", "output": "Beobachtung", "possible_translations": [ "Beobachtung", "Bemerkung" ] }, "1190": { "input": "interaction", "output": "Interaktion", "possible_translations": [ "Interaktion" ] }, "1191": { "input": "voyage", "output": "Reise", "possible_translations": [ "Reise" ] }, "1192": { "input": "sculpture", "output": "Bildhauerkunst", "possible_translations": [ "Skulptur", "Bildhauerkunst" ] }, "1193": { "input": "principle", "output": "Prinzip", "possible_translations": [ "Prinzip", "Naturgesetz" ] }, "1194": { "input": "demo", "output": "Demonstration", "possible_translations": [ "Demonstration" ] }, "1195": { "input": "fossil", "output": "Fossil", "possible_translations": [ "Fossil" ] }, "1196": { "input": "streak", "output": "Schliere", "possible_translations": [ "schlieren", "flitzen", "Schliere" ] }, "1197": { "input": "lifetime", "output": "Leben", "possible_translations": [ "Lebenszeit", "Ewigkeit", "Leben", "Lebensdauer" ] }, "1198": { "input": "infrastructure", "output": "Infrastruktur", "possible_translations": [ "Infrastruktur" ] }, "1199": { "input": "fee", "output": "Gebühr", "possible_translations": [ "Gebühr" ] }, "1200": { "input": "disturbance", "output": "Störung", "possible_translations": [ "Störenfried", "Geistesstörung", "Störung" ] }, "1201": { "input": "gift", "output": "Geschenk", "possible_translations": [ "Präsent", "Geschenk", "Spende", "Begabung", "Talent" ] }, "1202": { "input": "variation", "output": "Variation", "possible_translations": [ "Veränderung", "Variation", "Variante" ] }, "1203": { "input": "tag", "output": "Tag", "possible_translations": [ "Hast'se", "Tag", "Fange", "Fangen", "Etikett", "Marke" ] }, "1204": { "input": "holiday", "output": "Urlaub", "possible_translations": [ "Feiertag", "Urlaub", "reisen", "Ferien", "eine Ferienreise machen", "gesetzlicher Feiertag" ] }, "1205": { "input": "impression", "output": "Eindruck", "possible_translations": [ "Eindruck" ] }, "1206": { "input": "pack", "output": "Pack", "possible_translations": [ "verpacken", "packen", "einpacken", "Kartenspiel", "Packung", "Rudel", "Kartenstapel", "Pack" ] }, "1207": { "input": "shock", "output": "Schock", "possible_translations": [ "Schock", "einen Stromstoß versetzen", "schockieren" ] }, "1208": { "input": "tape", "output": "Klebeband", "possible_translations": [ "Band", "Klebeband" ] }, "1209": { "input": "stretch", "output": "Strecken", "possible_translations": [ "Abschnitt", "Strecke", "strecken", "sich dehnen", "Strecken", "ausleiern" ] }, "1210": { "input": "divorce", "output": "Scheidung", "possible_translations": [ "sich scheiden lassen", "Scheidung", "scheiden", "Ehescheidung" ] }, "1211": { "input": "motor", "output": "Motor", "possible_translations": [ "Antrieb", "Triebwerk", "Motor" ] }, "1212": { "input": "pursuit", "output": "Verfolgung", "possible_translations": [ "Verfolgung" ] }, "1213": { "input": "fortress", "output": "Festung", "possible_translations": [ "Festung" ] }, "1214": { "input": "manuscript", "output": "Handschrift", "possible_translations": [ "Handschrift", "Kodex", "Handscrift", "Manuskript" ] }, "1215": { "input": "teammate", "output": "Teamkollege", "possible_translations": [ "Teamkollegin", "Teamkollege" ] }, "1216": { "input": "gate", "output": "Tor", "possible_translations": [ "Flugsteig", "Schlagbaum", "Gate", "Tor" ] }, "1217": { "input": "dinner", "output": "Futter", "possible_translations": [ "Mittagessen", "Hauptmahlzeit", "Futter" ] }, "1218": { "input": "bypass", "output": "Umgehung", "possible_translations": [ "Bypass", "Umgehung", "Umgehungsstraße" ] }, "1219": { "input": "chemistry", "output": "Chemie", "possible_translations": [ "Chemie" ] }, "1220": { "input": "handling", "output": "Hehlerei", "possible_translations": [ "Hehlerei", "Handhabung", "Bedienung", "Handling", "Umgang" ] }, "1221": { "input": "guy", "output": "Typen", "possible_translations": [ "Typ", "Kerle", "Leute", "Typen", "Kerl" ] }, "1222": { "input": "mixture", "output": "Mischung", "possible_translations": [ "Mischung" ] }, "1223": { "input": "census", "output": "Zensus", "possible_translations": [ "Bevölkerungszählung", "Zensus", "Zählung", "Befragung", "Volkszählung" ] }, "1224": { "input": "velocity", "output": "Geschwindigkeit", "possible_translations": [ "Geschwindigkeit" ] }, "1225": { "input": "examination", "output": "Prüfung", "possible_translations": [ "Examen", "Prüfung", "Test", "Erprobung", "Überprüfung", "Versuch" ] }, "1226": { "input": "lift", "output": "Auftrieb", "possible_translations": [ "stehlen", "Fahrstuhl", "Mitfahrgelegenheit", "heben", "Aufzug", "Lift", "anheben", "klauen", "Auftrieb" ] }, "1227": { "input": "trailer", "output": "Anhänger", "possible_translations": [ "Trailer", "Wohncontainer", "Vorschau", "Wohnwagen", "Anhänger" ] }, "1228": { "input": "pitcher", "output": "Krug", "possible_translations": [ "Krug", "Werfer", "Pitcher" ] }, "1229": { "input": "skill", "output": "Geschicklichkeit", "possible_translations": [ "Kunst", "Fertigkeit", "Fähigkeit", "Talent", "Geschicklichkeit" ] }, "1230": { "input": "sword", "output": "Schwertkämpfer", "possible_translations": [ "Schwertkämpfer", "Schwert" ] }, "1231": { "input": "net", "output": "Netz", "possible_translations": [ "mit einem Netz fangen", "Netz", "netto verdienen", "Netto", "Netto-" ] }, "1232": { "input": "cable", "output": "Kabel", "possible_translations": [ "Seil", "Kette", "Tau", "Telegramm", "Kabel", "Leitung" ] }, "1233": { "input": "uniform", "output": "Uniform", "possible_translations": [ "gleichförmig", "einheitlich", "Uniform" ] }, "1234": { "input": "bombardment", "output": "Bombardierung", "possible_translations": [ "Bombardement", "Bombardierung", "Beschuss" ] }, "1235": { "input": "costume", "output": "Kostüm", "possible_translations": [ "Tracht", "Kostüm", "kostümieren" ] }, "1236": { "input": "tissue", "output": "Gewebe", "possible_translations": [ "Taschentuch", "Gewebe", "Toilettenpapier", "Tuch", "Papier" ] }, "1237": { "input": "prototype", "output": "Prototyp", "possible_translations": [ "Prototyp" ] }, "1238": { "input": "celebration", "output": "Feier", "possible_translations": [ "Fest", "Feier" ] }, "1239": { "input": "tornado", "output": "Tornado", "possible_translations": [ "Tornado" ] }, "1240": { "input": "promise", "output": "Versprechen", "possible_translations": [ "Versprechen", "versprechen" ] }, "1241": { "input": "laboratory", "output": "Labor", "possible_translations": [ "Laboratorium", "Labor" ] }, "1242": { "input": "craft", "output": "Handwerker", "possible_translations": [ "Handwerker", "handgemacht", "Schlauheit", "Lenkfahrzeug", "Fahrzeug", "Geriebenheit", "Handwerk" ] }, "1243": { "input": "dozen", "output": "Dutzende", "possible_translations": [ "Dutzend", "Dutzende" ] }, "1244": { "input": "separation", "output": "Trennung", "possible_translations": [ "Trennung" ] }, "1245": { "input": "feud", "output": "Fehde", "possible_translations": [ "Lehen", "sich befehden", "Feindschaft", "Fehde", "Streit" ] }, "1246": { "input": "chest", "output": "Kommode", "possible_translations": [ "Kasse", "Brustkorb", "Brust", "Kommode", "Thorax", "Truhe" ] }, "1247": { "input": "revival", "output": "Erweckung", "possible_translations": [ "Wiederbelebung", "Erweckung" ] }, "1248": { "input": "nickname", "output": "Beiname", "possible_translations": [ "Beiname", "Spitzname" ] }, "1249": { "input": "politician", "output": "Politiker", "possible_translations": [ "Politikerin", "Politiker" ] }, "1250": { "input": "consumption", "output": "Schwindsucht", "possible_translations": [ "Verbrauchswert", "Verzehr", "Konsum", "Verbrauch", "Schwindsucht" ] }, "1251": { "input": "cup", "output": "Pokal", "possible_translations": [ "Cup", "Körbchen", "Pokal", "Preis", "Tasse", "Kelch", "Becher" ] }, "1252": { "input": "handle", "output": "Griff", "possible_translations": [ "Griff" ] }, "1253": { "input": "harbour", "output": "Hafen", "possible_translations": [ "Hafen" ] }, "1254": { "input": "biography", "output": "Biografie", "possible_translations": [ "Biographie", "Biografie" ] }, "1255": { "input": "deputy", "output": "Deputierter", "possible_translations": [ "Abgeordnete", "Stellvertreterin", "Stellvertreter", "Deputierter", "Abgeordneter", "Deputierte" ] }, "1256": { "input": "lighter", "output": "Leichter", "possible_translations": [ "Feuerzeug", "Zigarettenanzünder", "Leichter", "Zigarettenfeuerzeug" ] }, "1257": { "input": "moon", "output": "Mond", "possible_translations": [ "den nackten Hintern zeigen", "Satellit", "Trabant", "Monat", "Mond" ] }, "1258": { "input": "usage", "output": "Brauch", "possible_translations": [ "Brauch", "Benutzung", "Verwendung", "Gebrauch", "Anwendung" ] }, "1259": { "input": "evacuation", "output": "Evakuierung", "possible_translations": [ "Evakuierung" ] }, "1260": { "input": "clock", "output": "Taktsignal", "possible_translations": [ "Tacho", "Taktsignal", "Tachometer", "Uhr" ] }, "1261": { "input": "exile", "output": "Exilant", "possible_translations": [ "Exilant", "exilieren", "ins Exil schicken", "Exil" ] }, "1262": { "input": "seed", "output": "Samen", "possible_translations": [ "Samen", "Same", "Sperma", "Saat" ] }, "1263": { "input": "lawsuit", "output": "Gerichtsverfahren", "possible_translations": [ "Prozess", "Rechtsstreit", "Gerichtsverfahren" ] }, "1264": { "input": "cathedral", "output": "Kathedrale", "possible_translations": [ "Dom", "Kathedrale" ] }, "1265": { "input": "relation", "output": "Relation", "possible_translations": [ "Verwandte", "Verwandtschaft", "Verwandter", "Familienangehöriger", "Angehöriger", "Familienmitglied", "Familienangehörige", "Angehörige", "Beziehung", "Relation" ] }, "1266": { "input": "speculation", "output": "Spekulation", "possible_translations": [ "Spekulation" ] }, "1267": { "input": "intent", "output": "Absicht", "possible_translations": [ "Absicht" ] }, "1268": { "input": "debris", "output": "Trümmer", "possible_translations": [ "Ruine", "Geröll", "Trümmer", "Ruinen", "Schutt" ] }, "1269": { "input": "sleep", "output": "Schlaf", "possible_translations": [ "Schläfchen", "unterbringen", "schlafen", "Schlaf", "Nachtruhe" ] }, "1270": { "input": "decrease", "output": "Verringerung", "possible_translations": [ "verringern", "Verringerung", "abnehmen" ] }, "1271": { "input": "mechanism", "output": "Mechanismus", "possible_translations": [ "Mechanismus" ] }, "1272": { "input": "nose", "output": "Nase", "possible_translations": [ "Nasenlänge", "Rüssel", "Schnauze", "Nase", "schnüffeln" ] }, "1273": { "input": "vicinity", "output": "Nachbarschaft", "possible_translations": [ "Nähe", "Umgebung", "Nachbarschaft" ] }, "1274": { "input": "killer", "output": "Töter", "possible_translations": [ "Töterin", "Mörder", "Totschläger", "Töter", "Totschlägerin", "Mörderin" ] }, "1275": { "input": "humanity", "output": "Humanität", "possible_translations": [ "Menschlichkeit", "Menschheit", "Humanität" ] }, "1276": { "input": "exhibit", "output": "Beweisstück", "possible_translations": [ "Beweisstück", "zur Schau stellen", "ausstellen", "Ausstellungsstück", "vorlegen", "Exponat", "an den Tag legen", "zeigen" ] }, "1277": { "input": "conversation", "output": "Konversation", "possible_translations": [ "Unterhaltung", "Gespräch", "Konversation" ] }, "1278": { "input": "disorder", "output": "Unordnung", "possible_translations": [ "Störung", "Unruhen", "Unordnung" ] }, "1279": { "input": "suspension", "output": "Aussetzung", "possible_translations": [ "Federung", "Suspension", "Aussetzung", "Aufhängung" ] }, "1280": { "input": "boyfriend", "output": "Freund", "possible_translations": [ "Freund", "Boyfriend" ] }, "1281": { "input": "helicopter", "output": "Helikopter", "possible_translations": [ "Hubschrauber", "Helikopter" ] }, "1282": { "input": "metre", "output": "Meter", "possible_translations": [ "Meter" ] }, "1283": { "input": "infection", "output": "Ansteckung", "possible_translations": [ "Ansteckung", "Infektion" ] }, "1284": { "input": "metric", "output": "Metrik", "possible_translations": [ "Kriterium", "Maß", "Messgröße", "Metrik", "Kenngröße", "metrisch", "Indikator", "Kennzahl" ] }, "1285": { "input": "stress", "output": "Betonung", "possible_translations": [ "beanspruchen", "Betonung", "Stress", "betonen", "stressen", "Spannung" ] }, "1286": { "input": "taste", "output": "Geschmack", "possible_translations": [ "Schmecken", "Geschmack", "kosten", "schmecken" ] }, "1287": { "input": "portrait", "output": "Portrait", "possible_translations": [ "Portrait", "Porträt" ] }, "1288": { "input": "jet", "output": "Strahl", "possible_translations": [ "Strahl", "jetten" ] }, "1289": { "input": "explanation", "output": "Erklärung", "possible_translations": [ "Erklärung", "Ausführung", "Erläuterung" ] }, "1290": { "input": "acre", "output": "Morgen", "possible_translations": [ "Juchart", "Acker", "Morgen", "Joch Landes", "Joch" ] }, "1291": { "input": "peninsula", "output": "Halbinsel", "possible_translations": [ "Halbinsel" ] }, "1292": { "input": "diamond", "output": "Diamant", "possible_translations": [ "Diamant", "Brillant", "Karo" ] }, "1293": { "input": "attorney", "output": "Rechtsanwalt", "possible_translations": [ "Rechtsanwalt" ] }, "1294": { "input": "heir", "output": "Thronerbe", "possible_translations": [ "Thronerbe", "Erbe" ] }, "1295": { "input": "roadway", "output": "Fahrbahn", "possible_translations": [ "Fahrbahn", "Straße", "Straßendamm" ] }, "1296": { "input": "truck", "output": "Lastauto", "possible_translations": [ "Lastkraftwagen", "Lastwagen", "LKW", "Lieferwagen", "Lastauto", "Laster" ] }, "1297": { "input": "bowl", "output": "Schale", "possible_translations": [ "Schüssel", "Schale" ] }, "1298": { "input": "user", "output": "Benutzer", "possible_translations": [ "Benutzerin", "Verbraucher", "Drogenkonsument", "Benutzer" ] }, "1299": { "input": "lover", "output": "Geliebter", "possible_translations": [ "Geliebte", "Liebhaber", "Kenner", "Liebhaberin", "Geliebter" ] }, "1300": { "input": "closure", "output": "Closure", "possible_translations": [ "Funktionsabschluss", "Closure", "Hülle" ] }, "1301": { "input": "wheel", "output": "Rad", "possible_translations": [ "Lenkrad", "Rad", "Steuerrad", "kreisen" ] }, "1302": { "input": "suggestion", "output": "Suggestion", "possible_translations": [ "Suggestion", "Vorschlag" ] }, "1303": { "input": "reporting", "output": "Berichterstattung", "possible_translations": [ "Berichterstattung", "Berichtswesen" ] }, "1304": { "input": "proof", "output": "Beweis", "possible_translations": [ "Beweis" ] }, "1305": { "input": "fungus", "output": "Pilz", "possible_translations": [ "Pilz" ] }, "1306": { "input": "conspiracy", "output": "Verschwörung", "possible_translations": [ "Konspiration", "Verschwörung", "verschwörung" ] }, "1307": { "input": "attraction", "output": "Attraktion", "possible_translations": [ "Attraktion", "Anziehung", "Anziehungskraft", "Liebreiz", "Reiz" ] }, "1308": { "input": "faculty", "output": "Vermögen", "possible_translations": [ "Vermögen", "Fähigkeit", "Begabung", "Kollegium", "Fakultät" ] }, "1309": { "input": "reporter", "output": "Reporter", "possible_translations": [ "Reporter", "Reporterin" ] }, "1310": { "input": "romance", "output": "Romanze", "possible_translations": [ "Romanze", "romantische Liebe", "Liebeserlebnis" ] }, "1311": { "input": "license", "output": "Lizenz", "possible_translations": [ "lizenzieren", "Erlaubnis", "Lizenz", "Genehmigung", "Schein", "Staatsexamen" ] }, "1312": { "input": "grass", "output": "Gras", "possible_translations": [ "Gras", "Rasen" ] }, "1313": { "input": "sheep", "output": "Schaf", "possible_translations": [ "Schaf" ] }, "1314": { "input": "publicity", "output": "Werbung", "possible_translations": [ "Werbung" ] }, "1315": { "input": "parking", "output": "Parken", "possible_translations": [ "Parken", "Parkieren", "Parkplatz" ] }, "1316": { "input": "surge", "output": "Überspannung", "possible_translations": [ "Brandung", "Schwall", "Spannungsstoß", "Aufwallung", "Welle", "Woge", "Überspannung" ] }, "1317": { "input": "stability", "output": "Stabilität", "possible_translations": [ "Stabilität" ] }, "1318": { "input": "noise", "output": "Rauschen", "possible_translations": [ "Geräusch", "Störung", "Krach", "Rauschen", "Lärm" ] }, "1319": { "input": "companion", "output": "Gefährte", "possible_translations": [ "Gefährtin", "Kompagnon", "Gefährte" ] }, "1320": { "input": "drink", "output": "Getränk", "possible_translations": [ "trinken", "Trunk", "saufen", "Getränk", "Drink" ] }, "1321": { "input": "resignation", "output": "Rücktritt", "possible_translations": [ "Resignation", "Rücktrittserklärung", "Rücktritt" ] }, "1322": { "input": "check", "output": "Kontrolle", "possible_translations": [ "überprüfen", "Karo", "Schach", "Untersuchung", "Marke", "Markierung", "markieren", "Rechnung", "checken", "Überwachung", "schieben", "abzeichnen", "Kontrolle", "abgleichen" ] }, "1323": { "input": "telephone", "output": "Telefon", "possible_translations": [ "telefonieren", "anrufen", "Telephon", "Fernsprecher", "Telefon" ] }, "1324": { "input": "cruise", "output": "Kreuzfahrt", "possible_translations": [ "Kreuzfahrt" ] }, "1325": { "input": "roster", "output": "Liste", "possible_translations": [ "Liste", "Teilnehmerliste", "Matrikel" ] }, "1326": { "input": "comment", "output": "Kommentar", "possible_translations": [ "Kommentare einfügen", "kommentieren", "Kommentar" ] }, "1327": { "input": "tune", "output": "Melodie", "possible_translations": [ "stimmen", "Melodie" ] }, "1328": { "input": "paint", "output": "Farbe", "possible_translations": [ "anmalen", "bemalen", "malen", "Lack", "streichen", "Farbe" ] }, "1329": { "input": "insurance", "output": "Versicherung", "possible_translations": [ "Versicherung" ] }, "1330": { "input": "photo", "output": "Foto", "possible_translations": [ "Bild", "Foto" ] }, "1331": { "input": "cash", "output": "Bargeld", "possible_translations": [ "Bargeld" ] }, "1332": { "input": "creature", "output": "Geschöpf", "possible_translations": [ "Geschöpf", "Kreatur" ] }, "1333": { "input": "crop", "output": "Gerte", "possible_translations": [ "Gerte", "ausschneiden", "Kropf", "Kehlsack", "Getreide" ] }, "1334": { "input": "rice", "output": "Reis", "possible_translations": [ "Reis" ] }, "1335": { "input": "diversity", "output": "Vielfältigkeit", "possible_translations": [ "Vielfalt", "Vielfältigkeit", "Diversität", "Mannigfaltigkeit" ] }, "1336": { "input": "pole", "output": "Pol", "possible_translations": [ "Stange", "Pol", "Stab" ] }, "1337": { "input": "stuff", "output": "Material", "possible_translations": [ "Zeug", "Sachen", "Kram", "Stoff", "füllen", "Material", "ausstopfen" ] }, "1338": { "input": "scholarship", "output": "Gelehrsamkeit", "possible_translations": [ "Gelehrsamkeit", "Stipendium" ] }, "1339": { "input": "rotation", "output": "Umdrehung", "possible_translations": [ "Umdrehung", "Rotation" ] }, "1340": { "input": "pink", "output": "Nelke", "possible_translations": [ "Nelke", "pink", "Rosa", "rosa" ] }, "1341": { "input": "monastery", "output": "Kloster", "possible_translations": [ "Kloster" ] }, "1342": { "input": "reconstruction", "output": "Rekonstruktion", "possible_translations": [ "Wiederaufbau", "Rekonstruktion" ] }, "1343": { "input": "mill", "output": "Fabrik", "possible_translations": [ "Fabrik", "Werk Papiermühle", "Mühle", "mahlen", "Werk", "Papiermühle" ] }, "1344": { "input": "spacecraft", "output": "Raumfahrzeug", "possible_translations": [ "Raumschiff", "Raumfahrzeug" ] }, "1345": { "input": "dual", "output": "Dual", "possible_translations": [ "dual", "Dual", "Zweizahl" ] }, "1346": { "input": "egg", "output": "Ei", "possible_translations": [ "Eizelle", "Ei" ] }, "1347": { "input": "distinction", "output": "Auszeichnung", "possible_translations": [ "Unterschied", "Auszeichnung" ] }, "1348": { "input": "commitment", "output": "Einweisung", "possible_translations": [ "Bindung", "Einsatz", "Obligo", "Hingabe", "Engagement", "Einstandspflicht", "Einweisung", "Verbindlichkeit" ] }, "1349": { "input": "radius", "output": "Speiche", "possible_translations": [ "Radius", "Speiche", "Halbmesser" ] }, "1350": { "input": "labour", "output": "gebären", "possible_translations": [ "Arbeit", "arbeiten", "gebären", "Arbeiter" ] }, "1351": { "input": "revenge", "output": "Rache", "possible_translations": [ "Rache", "rächen" ] }, "1352": { "input": "exterior", "output": "Äußeres", "possible_translations": [ "Außenseite", "Äußeres" ] }, "1353": { "input": "consequence", "output": "Konsequenz", "possible_translations": [ "Konsequenz", "Folge" ] }, "1354": { "input": "expert", "output": "Experte", "possible_translations": [ "Experte" ] }, "1355": { "input": "formula", "output": "Formel", "possible_translations": [ "Formel" ] }, "1356": { "input": "runner", "output": "Läufer", "possible_translations": [ "Läuferin", "Läufer" ] }, "1357": { "input": "dust", "output": "Staub", "possible_translations": [ "Staub", "pudern", "bestauben", "entstauben", "ein Sandbad nehmen", "sandbaden" ] }, "1358": { "input": "proportion", "output": "Proportion", "possible_translations": [ "Proportion" ] }, "1359": { "input": "scandal", "output": "Skandal", "possible_translations": [ "Skandal" ] }, "1360": { "input": "shield", "output": "Schutz", "possible_translations": [ "beschützen", "Schild", "Schutz" ] }, "1361": { "input": "mansion", "output": "Herrenhaus", "possible_translations": [ "Herrenhaus" ] }, "1362": { "input": "electron", "output": "Elektron", "possible_translations": [ "Elektron" ] }, "1363": { "input": "outcome", "output": "Ergebnis", "possible_translations": [ "Ergebnis", "Ausgang" ] }, "1364": { "input": "logo", "output": "Logo", "possible_translations": [ "Logo" ] }, "1365": { "input": "propaganda", "output": "Propaganda", "possible_translations": [ "Propaganda" ] }, "1366": { "input": "transmission", "output": "Übertragung", "possible_translations": [ "Getriebe", "Übertragung" ] }, "1367": { "input": "vegetation", "output": "Vegetation", "possible_translations": [ "Vegetation" ] }, "1368": { "input": "rider", "output": "Reiter", "possible_translations": [ "Mitfahrer", "Mitfahrerin", "Reiterin", "Reiter" ] }, "1369": { "input": "depiction", "output": "Darstellung", "possible_translations": [ "Abbildung", "Darstellung" ] }, "1370": { "input": "monster", "output": "Monster", "possible_translations": [ "Monster", "Ungeheuer" ] }, "1371": { "input": "punishment", "output": "Bestrafung", "possible_translations": [ "Bestrafung", "Strafe" ] }, "1372": { "input": "custom", "output": "Zoll", "possible_translations": [ "Brauch", "Zoll", "Gewohnheit", "Sitte", "Usus" ] }, "1373": { "input": "routine", "output": "Routine", "possible_translations": [ "routinemäßig", "Routine" ] }, "1374": { "input": "worker", "output": "Arbeiterin", "possible_translations": [ "Arbeitnehmer", "Arbeitsbiene", "Hacklerin", "Angestellter", "Arbeiterin", "Angestellte", "Arbeitstermite", "Arbeitswespe", "Arbeitnehmerin", "Arbeiter", "Arbeitsameise", "Hackler" ] }, "1375": { "input": "presidency", "output": "Präsidentschaft", "possible_translations": [ "Präsidentschaft" ] }, "1376": { "input": "doctrine", "output": "Doktrin", "possible_translations": [ "Doktrin" ] }, "1377": { "input": "pound", "output": "Pfund", "possible_translations": [ "Verwahrstelle", "Pfund", "Tierheim", "Zwinger" ] }, "1378": { "input": "assassination", "output": "Ermordung", "possible_translations": [ "Attentat", "Ermordung" ] }, "1379": { "input": "achievement", "output": "Errungenschaft", "possible_translations": [ "Vollendung", "Errungenschaft" ] }, "1380": { "input": "payment", "output": "Zahlung", "possible_translations": [ "Zahlung", "Bezahlung" ] }, "1381": { "input": "consciousness", "output": "Bewusstsein", "possible_translations": [ "Bewusstsein" ] }, "1382": { "input": "priority", "output": "Priorität", "possible_translations": [ "Priorität" ] }, "1383": { "input": "nephew", "output": "Neffe", "possible_translations": [ "Neffe" ] }, "1384": { "input": "switch", "output": "Schalter", "possible_translations": [ "Schalter", "Switch", "schalten", "wechseln", "Verteiler", "austauschen", "Netzwerkweiche", "tauschen", "Weiche", "Spießrute" ] }, "1385": { "input": "phenomenon", "output": "Phänomen", "possible_translations": [ "Phänomen" ] }, "1386": { "input": "width", "output": "Breite", "possible_translations": [ "Weite", "Breite" ] }, "1387": { "input": "hypothesis", "output": "Hypothese", "possible_translations": [ "Hypothese" ] }, "1388": { "input": "mail", "output": "Post", "possible_translations": [ "Kettenpanzer", "Post", "E-Mail", "Kettenhemd" ] }, "1389": { "input": "witness", "output": "Zeuge", "possible_translations": [ "Zeuge", "Zeugin", "Zeuge sein", "bezeugen" ] }, "1390": { "input": "poverty", "output": "Armut", "possible_translations": [ "Armut" ] }, "1391": { "input": "finance", "output": "Finanz", "possible_translations": [ "Finanz", "Finanzen", "Geldwesen", "Finanzwissenschaft", "finanzieren", "Geldwissenschaft" ] }, "1392": { "input": "awareness", "output": "Bewusstsein", "possible_translations": [ "Bewusstsein" ] }, "1393": { "input": "corruption", "output": "Korruption", "possible_translations": [ "Korruption" ] }, "1394": { "input": "curve", "output": "Kurve", "possible_translations": [ "biegen", "Kurve", "verbiegen", "Linie" ] }, "1395": { "input": "scientist", "output": "Wissenschaftler", "possible_translations": [ "Wissenschaftlerin", "Wissenschaftler" ] }, "1396": { "input": "flower", "output": "Blume", "possible_translations": [ "blühen", "Blume" ] }, "1397": { "input": "exploration", "output": "Erkundung", "possible_translations": [ "Untersuchung", "Erkundung" ] }, "1398": { "input": "bell", "output": "Klingel", "possible_translations": [ "Klingeln", "Schelle", "Klingel", "Glocke" ] }, "1399": { "input": "choir", "output": "Chor", "possible_translations": [ "Chor", "Engelschor" ] }, "1400": { "input": "shaft", "output": "Schaft", "possible_translations": [ "Schaft", "Schacht" ] }, "1401": { "input": "mystery", "output": "Rätsel", "possible_translations": [ "Geheimnis", "Rätsel" ] }, "1402": { "input": "villain", "output": "Bösewicht", "possible_translations": [ "Bösewicht", "Schurke", "Gauner", "Oberböse" ] }, "1403": { "input": "spite", "output": "Boshaftigkeit", "possible_translations": [ "Gehässigkeit", "Boshaftigkeit" ] }, "1404": { "input": "cat", "output": "Säbelzahnkatze", "possible_translations": [ "Feliden", "Pantherinae", "Katzenartige", "Felidae", "Kleinkatze", "Katze", "Machairodontine", "Feliformia", "Pantherinen", "Großkatze", "Machairodontinae", "Machairodontinen", "Felinen", "Säbelzahnkatze", "Grosskatze", "Felide", "Pantherine", "Felinae", "Katzenartigen", "Feloidea", "Feline" ] }, "1405": { "input": "processing", "output": "Verarbeitung", "possible_translations": [ "Verarbeitung" ] }, "1406": { "input": "requirement", "output": "Anforderung", "possible_translations": [ "Anforderung" ] }, "1407": { "input": "acceptance", "output": "Akzeptanz", "possible_translations": [ "Akzeptanz", "Vertrag", "Annahme" ] }, "1408": { "input": "horsepower", "output": "Pferdestärke", "possible_translations": [ "Pferdestärke", "PS" ] }, "1409": { "input": "bond", "output": "Obligation", "possible_translations": [ "Obligation" ] }, "1410": { "input": "navigation", "output": "Navigation", "possible_translations": [ "Schifffahrt", "Navigation" ] }, "1411": { "input": "compromise", "output": "Kompromiss", "possible_translations": [ "kompromittieren", "beeinträchtigen", "einen Kompromiss finden", "Ausgleich", "Kompromiss", "einen Kompromiss schließen" ] }, "1412": { "input": "web", "output": "Netz", "possible_translations": [ "Netz", "Web" ] }, "1413": { "input": "mood", "output": "schlechte Laune", "possible_translations": [ "üble Laune", "Missmut", "schlechte Stimmung", "schlechte Laune", "Stimmung", "Laune", "Gemüt" ] }, "1414": { "input": "faction", "output": "Fraktion", "possible_translations": [ "Fraktion" ] }, "1415": { "input": "gauge", "output": "Meter", "possible_translations": [ "Meter", "Spurweite", "Messgerät", "Maß", "messen" ] }, "1416": { "input": "eruption", "output": "Ausbruch", "possible_translations": [ "Vulkanausbruch", "Eruption", "Ausbruch" ] }, "1417": { "input": "dive", "output": "Tauchen", "possible_translations": [ "Schwalbe", "ins Wasser springen", "tauchen", "eine Schwalbe vortäuschen", "Tauchen", "abtauchen" ] }, "1418": { "input": "goddess", "output": "Göttin", "possible_translations": [ "Göttin" ] }, "1419": { "input": "consensus", "output": "Konsens", "possible_translations": [ "Konsens", "Einvernehmen" ] }, "1420": { "input": "tooth", "output": "Zahn", "possible_translations": [ "Zahn", "Sägezahn" ] }, "1421": { "input": "variant", "output": "Variante", "possible_translations": [ "Variante" ] }, "1422": { "input": "monarch", "output": "Monarch", "possible_translations": [ "Fürst", "Monarchin", "Monarch" ] }, "1423": { "input": "grid", "output": "Gitter", "possible_translations": [ "Gitter" ] }, "1424": { "input": "loyalty", "output": "Treue", "possible_translations": [ "Treue", "Loyalität" ] }, "1425": { "input": "cotton", "output": "Baumwolle", "possible_translations": [ "Baumwoll-", "baumwollen", "Baumwolle", "aus Baumwolle" ] }, "1426": { "input": "battlefield", "output": "Schlachtfeld", "possible_translations": [ "Schlachtfeld" ] }, "1427": { "input": "assessment", "output": "Bewertung", "possible_translations": [ "", "Bewertung", "Schätzung", "Begutachtung" ] }, "1428": { "input": "seal", "output": "Siegel", "possible_translations": [ "Dichtung", "Siegel", "Seehund", "Petschaft", "Robbe" ] }, "1429": { "input": "wire", "output": "Draht", "possible_translations": [ "Geld überweisen", "Draht", "Ader" ] }, "1430": { "input": "highlight", "output": "Highlight", "possible_translations": [ "Highlight", "Höhepunkt", "hervorheben", "beleuchten", "markieren" ] }, "1431": { "input": "reader", "output": "Leser", "possible_translations": [ "Leser", "Leserin" ] }, "1432": { "input": "flesh", "output": "Fleisch", "possible_translations": [ "Fleischfarbe", "zunehmen", "Fleisch", "Haut", "entfleischen", "untermauern", "Leib", "ausarbeiten", "Fruchtfleisch" ] }, "1433": { "input": "sheet", "output": "Blatt", "possible_translations": [ "Platte", "Schicht", "Blatt", "Schot", "Blech" ] }, "1434": { "input": "referee", "output": "Rezensent", "possible_translations": [ "Schiedsrichterin", "Ombudsfrau ; more specialized terms exist in various contexts", "Protagonist ; ?", "Schlichter ; Schiedsmann ; Ombudsmann", "Empfehlungsgeber", "befürworten ; ? ; beurteilen", "if they exist.", "Lektor", "Befürworter", "rezensieren", "lektorieren", "Schiedsrichter", "Rezensent", "leiten; pfeifen; richten; schiedsrichten; schlichten; betreuen ; empfehlen", "and usually need to be used", "schiedsrichtern" ] }, "1435": { "input": "declaration", "output": "Erklärung", "possible_translations": [ "Erklärung", "Deklaration" ] }, "1436": { "input": "missile", "output": "Flugkörper", "possible_translations": [ "Flugkörper", "Rakete" ] }, "1437": { "input": "airfield", "output": "Flugplatz", "possible_translations": [ "Flugplatz" ] }, "1438": { "input": "discipline", "output": "Disziplin", "possible_translations": [ "Bestrafung", "Disziplin", "disziplinieren", "disziplinarisch bestrafen", "Strafe" ] }, "1439": { "input": "mistake", "output": "Fehler", "possible_translations": [ "verwechseln", "Fehler" ] }, "1440": { "input": "sacrifice", "output": "Opfer", "possible_translations": [ "opfern", "Opfer" ] }, "1441": { "input": "gallery", "output": "Galerie", "possible_translations": [ "Galerie" ] }, "1442": { "input": "interference", "output": "Störung", "possible_translations": [ "Störung", "Interferenz" ] }, "1443": { "input": "audition", "output": "Vorsingen", "possible_translations": [ "ein Casting veranstalten", "Vorspielen", "Gehör", "vorsingen", "Casting", "Vorsingen", "vorspielen" ] }, "1444": { "input": "harm", "output": "Schaden", "possible_translations": [ "Schaden", "schaden" ] }, "1445": { "input": "frigate", "output": "Fregatte", "possible_translations": [ "Fregatte" ] }, "1446": { "input": "expense", "output": "Verlust", "possible_translations": [ "Verlust" ] }, "1447": { "input": "syndrome", "output": "Syndrom", "possible_translations": [ "Syndrom" ] }, "1448": { "input": "troop", "output": "Truppen", "possible_translations": [ "Truppen" ] }, "1449": { "input": "supporter", "output": "Schildhalter", "possible_translations": [ "Unterstützer", "Anhänger", "Schildhalter" ] }, "1450": { "input": "machinery", "output": "Maschinerie", "possible_translations": [ "Maschinerie" ] }, "1451": { "input": "migration", "output": "Migration", "possible_translations": [ "Vogelstrich", "Vogelwanderung", "Migration", "Wanderung", "Wohnsitzwechsel", "Vogelzug", "Tierwanderung" ] }, "1452": { "input": "locomotive", "output": "Lokomotive", "possible_translations": [ "Lokomotive" ] }, "1453": { "input": "stroke", "output": "Schlag", "possible_translations": [ "Hieb", "Apoplexie", "Streich", "Schlagmann", "Schlaganfall", "Hirnschlag", "Strich", "Schlagerl", "Hirninfarkt", "Zug", "streicheln", "Apoplex", "Federstrich", "Hub", "streichen", "Schlag" ] }, "1454": { "input": "custody", "output": "Sorgerecht", "possible_translations": [ "Aufbewahrung", "Haft", "Sorgerecht", "Verwahrung", "Obhut" ] }, "1455": { "input": "shopping", "output": "Einkaufen", "possible_translations": [ "Einkäufe", "Einkaufen" ] }, "1456": { "input": "hunt", "output": "Jagd", "possible_translations": [ "Jagd", "suchen", "jagen" ] }, "1457": { "input": "proximity", "output": "Nähe", "possible_translations": [ "Nähe", "Nachbarschaft" ] }, "1458": { "input": "joke", "output": "Witz", "possible_translations": [ "Streich", "Spaß machen", "Witze machen", "Scherz", "Witz", "scherzen" ] }, "1459": { "input": "currency", "output": "Währung", "possible_translations": [ "Währung" ] }, "1460": { "input": "bore", "output": "Bohrung", "possible_translations": [ "bohren", "Bohrung", "langweilen" ] }, "1461": { "input": "whale", "output": "Wal", "possible_translations": [ "Wal" ] }, "1462": { "input": "beer", "output": "Bier", "possible_translations": [ "Bier" ] }, "1463": { "input": "rocket", "output": "Rakete", "possible_translations": [ "Rukola", "Rucola", "Rakete" ] }, "1464": { "input": "aviation", "output": "Luftfahrt", "possible_translations": [ "Luftfahrt" ] }, "1465": { "input": "spell", "output": "kurze Periode", "possible_translations": [ "Zeitdauer", "Weile", "Zauber", "Zauberformel", "Zauberspruch", "buchstabieren", "Zauberwort", "kurze Periode", "abwechseln", "Weilchen", "klarmachen", "bedeuten" ] }, "1466": { "input": "gathering", "output": "Zusammenkunft", "possible_translations": [ "Zusammenkunft" ] }, "1467": { "input": "cylinder", "output": "Zylinder", "possible_translations": [ "Brennkammer", "Zylinder", "Rolle" ] }, "1468": { "input": "cave", "output": "Höhle", "possible_translations": [ "Achtung", "Höhle" ] }, "1469": { "input": "leaf", "output": "Blatt", "possible_translations": [ "Platte", "Blatt", "Laubblatt" ] }, "1470": { "input": "stick", "output": "Stock", "possible_translations": [ "dabeibleiben", "Stock", "Stab", "steckenbleiben", "kleben", "stocken", "Schaltknüppel", "stechen", "stecken" ] }, "1471": { "input": "installation", "output": "Installation", "possible_translations": [ "Anlage", "Installation" ] }, "1472": { "input": "massacre", "output": "Massaker", "possible_translations": [ "Massaker", "massakrieren" ] }, "1473": { "input": "editing", "output": "Bearbeitung", "possible_translations": [ "Bearbeitung" ] }, "1474": { "input": "tourism", "output": "Tourismus", "possible_translations": [ "Tourismus" ] }, "1475": { "input": "gravity", "output": "Bedenklichkeit", "possible_translations": [ "Erdanziehung", "Ernst", "Schwerkraft", "Bedenklichkeit", "Gravitation" ] }, "1476": { "input": "therapy", "output": "Therapie", "possible_translations": [ "Therapie" ] }, "1477": { "input": "widow", "output": "Hurenkind", "possible_translations": [ "Witwe", "Hurenkind" ] }, "1478": { "input": "hook", "output": "Haken", "possible_translations": [ "Angelhaken", "Haken", "haken", "einhaken" ] }, "1479": { "input": "milk", "output": "Milch", "possible_translations": [ "melken", "ausschöpfen", "Milch", "durchkauen", "ausreizen" ] }, "1480": { "input": "transit", "output": "Theodolit", "possible_translations": [ "Durchreise", "Theodolit", "Durchgang", "Transit" ] }, "1481": { "input": "cooperation", "output": "Zusammenarbeit", "possible_translations": [ "Zusammenarbeit", "Mitarbeit", "Kooperation" ] }, "1482": { "input": "captivity", "output": "Gefangenschaft", "possible_translations": [ "Gefangenschaft" ] }, "1483": { "input": "gear", "output": "Gang", "possible_translations": [ "Zahnrad", "Gangschaltung", "Gang", "Ausrüstung" ] }, "1484": { "input": "corridor", "output": "Korridor", "possible_translations": [ "Durchgang", "Korridor", "Gang" ] }, "1485": { "input": "volcano", "output": "Vulkan", "possible_translations": [ "Vulkan" ] }, "1486": { "input": "shirt", "output": "Hemd", "possible_translations": [ "Hemd" ] }, "1487": { "input": "delegation", "output": "Delegation", "possible_translations": [ "Delegation", "Delegierung", "Übertragung" ] }, "1488": { "input": "rapper", "output": "Rapper", "possible_translations": [ "Rapper" ] }, "1489": { "input": "hybrid", "output": "Hybride", "possible_translations": [ "Hybridfahrzeug", "hybrid", "Hybride", "Kreuzung" ] }, "1490": { "input": "developer", "output": "Entwickler", "possible_translations": [ "Entwickler" ] }, "1491": { "input": "trick", "output": "Trick", "possible_translations": [ "überlisten", "Kunststück", "Freier", "Falle", "Stich", "List", "austricksen", "Trick", "verarschen" ] }, "1492": { "input": "jaw", "output": "Kiefer", "possible_translations": [ "Kinnbacke", "Schlund", "Oberkiefer", "Kiefer", "Backe", "Unterkiefer", "Rachen" ] }, "1493": { "input": "thickness", "output": "Dicke", "possible_translations": [ "Dicke" ] }, "1494": { "input": "photograph", "output": "Fotografie", "possible_translations": [ "Lichtbild", "Foto", "fotografieren", "Fotographie", "Fotografie" ] }, "1495": { "input": "kiss", "output": "Kuss", "possible_translations": [ "Kuss", "küssen", "sich küssen", "Busserl" ] }, "1496": { "input": "operator", "output": "Operator", "possible_translations": [ "Operator", "Rechenzeichen", "Betreiber", "Telefonist", "Vermittlung", "Telefonistin" ] }, "1497": { "input": "pregnancy", "output": "Schwangerschaft", "possible_translations": [ "Schwangerschaft" ] }, "1498": { "input": "trophy", "output": "Trophäe", "possible_translations": [ "Trophäe" ] }, "1499": { "input": "oak", "output": "Eiche", "possible_translations": [ "Eichenholz", "Eichen-", "Eiche" ] }, "1500": { "input": "file", "output": "Kartei", "possible_translations": [ "beantragen", "archivieren", "Feile", "Kartei", "File", "feilen", "Reihe", "speichern", "Antrag stellen", "Datei", "Akte" ] }, "1501": { "input": "percussion", "output": "Perkussion", "possible_translations": [ "Perkussion" ] }, "1502": { "input": "acquisition", "output": "Erwerb", "possible_translations": [ "Erwerb", "Aneignung" ] }, "1503": { "input": "collision", "output": "Zusammenstoß", "possible_translations": [ "Kollision", "Zusammenstoß" ] }, "1504": { "input": "kitchen", "output": "Küche", "possible_translations": [ "Küche" ] }, "1505": { "input": "conjunction", "output": "Konjunktion", "possible_translations": [ "Konjunktion", "Bindewort" ] }, "1506": { "input": "scenario", "output": "Szenario", "possible_translations": [ "Szenario", "Drehbuch", "Szenarium" ] }, "1507": { "input": "package", "output": "Paket", "possible_translations": [ "packen", "Paket", "einpacken" ] }, "1508": { "input": "substance", "output": "Substanz", "possible_translations": [ "Substanz", "Stoff" ] }, "1509": { "input": "roller", "output": "Racke", "possible_translations": [ "Orientalische Rollertaube", "Racke", "Rollertaube", "Roller", "Orientalischer Roller" ] }, "1510": { "input": "tennis", "output": "Tennis", "possible_translations": [ "Tennis" ] }, "1511": { "input": "motorway", "output": "Autobahn", "possible_translations": [ "Autobahn" ] }, "1512": { "input": "petition", "output": "Petition", "possible_translations": [ "Petition", "Eingabe" ] }, "1513": { "input": "progression", "output": "Progression", "possible_translations": [ "Reihe", "Progression", "Fortschreiten" ] }, "1514": { "input": "topic", "output": "Thema", "possible_translations": [ "Thema" ] }, "1515": { "input": "demonstration", "output": "Demonstration", "possible_translations": [ "Demonstration", "Vorführung" ] }, "1516": { "input": "erosion", "output": "Erosion", "possible_translations": [ "Erosion" ] }, "1517": { "input": "climbing", "output": "Kletterei", "possible_translations": [ "Klettern", "Kletterei" ] }, "1518": { "input": "suburb", "output": "Vorstadt", "possible_translations": [ "Vorort", "Vorstadt" ] }, "1519": { "input": "muzzle", "output": "Maulkorb", "possible_translations": [ "Schnauze", "Mündung", "Maulkorb" ] }, "1520": { "input": "plutonium", "output": "Plutonium", "possible_translations": [ "Plutonium" ] }, "1521": { "input": "wound", "output": "Wunde", "possible_translations": [ "Wunde", "Verletzung", "verwunden", "verletzen" ] }, "1522": { "input": "monitor", "output": "Bildschirm", "possible_translations": [ "überprüfen", "Monitor", "kontrollieren", "Tutor", "aufpassen", "Bildschirm", "Aufpasser", "überwachen", "Wächter", "abhören" ] }, "1523": { "input": "dawn", "output": "Dämmerung", "possible_translations": [ "Dämmerung", "Tagesanbruch", "Morgendämmerung", "Morgengrauen" ] }, "1524": { "input": "attachment", "output": "Anlage", "possible_translations": [ "Anlage", "Anhang" ] }, "1525": { "input": "golf", "output": "Golf", "possible_translations": [ "golfen", "Golf" ] }, "1526": { "input": "grain", "output": "Körnchen", "possible_translations": [ "Körnchen", "Maserung", "Getreide", "Korn" ] }, "1527": { "input": "amendment", "output": "Zusatzartikel", "possible_translations": [ "Nachbesserung", "Verbesserung", "Gesetzesänderung", "Abänderung", "Änderung", "Verfassungsänderung", "Zusatzartikel" ] }, "1528": { "input": "pleasure", "output": "Vergnügen", "possible_translations": [ "Freude", "Vergnügen", "Vergnügen bereiten", "Spaß" ] }, "1529": { "input": "upgrade", "output": "Upgrade", "possible_translations": [ "aufrüsten", "nachrüsten", "verbessern", "Upgrade", "hochrüsten" ] }, "1530": { "input": "hamlet", "output": "Hamletbarsche", "possible_translations": [ "Hamletbarsche", "Kaff", "Dorf", "Weiler" ] }, "1531": { "input": "backup", "output": "Datensicherung", "possible_translations": [ "Unterstützung", "Datensicherung", "Deckung", "Hilfs-", "Backup", "Ersatz", "Ersatz-" ] }, "1532": { "input": "stance", "output": "Einstellung", "possible_translations": [ "Einstellung", "Haltung", "Standpunkt", "Verhältnis", "Positur", "point de vue" ] }, "1533": { "input": "wreck", "output": "Wrack", "possible_translations": [ "Wrack", "Schrott", "Schrottkiste", "Schrotthaufen", "Zusammenstoß" ] }, "1534": { "input": "muscle", "output": "Muskel", "possible_translations": [ "Muskel" ] }, "1535": { "input": "grandson", "output": "Enkelsohn", "possible_translations": [ "Enkelsohn", "Enkel" ] }, "1536": { "input": "citizen", "output": "Einwohner", "possible_translations": [ "Zivilistin", "Staatsbürgerin", "Zivilist", "Staatsbürger", "Einwohner", "Bürgerin", "Bürger" ] }, "1537": { "input": "ensemble", "output": "Ensemble", "possible_translations": [ "Ensemble" ] }, "1538": { "input": "speaker", "output": "Lautsprecher", "possible_translations": [ "Lautsprecher", "Sprecher" ] }, "1539": { "input": "input", "output": "Eingabe", "possible_translations": [ "Eingabe", "eingeben" ] }, "1540": { "input": "item", "output": "Stück", "possible_translations": [ "Element", "Stück", "Artikel", "Ding" ] }, "1541": { "input": "barrier", "output": "Grenze", "possible_translations": [ "Schlagbaum", "Hindernis", "Grenze", "Schranke", "Barriere" ] }, "1542": { "input": "rookie", "output": "Anfänger", "possible_translations": [ "Neuling", "Anfänger" ] }, "1543": { "input": "scrap", "output": "Altmaterial", "possible_translations": [ "abwracken", "Schrott", "Speisereste", "Stückchen", "Fetzen", "Essensreste", "verschrotten", "Abfall", "Reste", "Altmaterial", "wegwerfen", "Altmetall" ] }, "1544": { "input": "layout", "output": "Einteilung", "possible_translations": [ "Struktur", "Anordnung", "Einteilung", "Layout", "Gestaltung" ] }, "1545": { "input": "compensation", "output": "Kompensation", "possible_translations": [ "Abfindung", "Ausgleichzahlung", "Ausgleich", "Ersatz", "Kompensation", "Wiedergutmachung", "Entlohnung", "Kompensierung" ] }, "1546": { "input": "darkness", "output": "Dunkelheit", "possible_translations": [ "Finsternis", "Dunkelheit" ] }, "1547": { "input": "invitation", "output": "Einladung", "possible_translations": [ "Einladung", "Einladen" ] }, "1548": { "input": "notion", "output": "Neigung", "possible_translations": [ "Lust", "Absicht", "Neigung", "Idee", "Ansicht", "Auffassung", "Einfall", "Denkbild", "Gedanke", "Ahnung", "Begriff" ] }, "1549": { "input": "monarchy", "output": "Monarchie", "possible_translations": [ "Monarchie" ] }, "1550": { "input": "midnight", "output": "Mitternacht", "possible_translations": [ "Mitternacht" ] }, "1551": { "input": "diary", "output": "Tagebuch", "possible_translations": [ "Tagebuch" ] }, "1552": { "input": "consent", "output": "Zustimmung", "possible_translations": [ "einwilligen", "Zustimmung", "Konsens", "zustimmen" ] }, "1553": { "input": "disappointment", "output": "Enttäuschung", "possible_translations": [ "Enttäuschung" ] }, "1554": { "input": "employee", "output": "Arbeitnehmer", "possible_translations": [ "Angestellte", "Arbeitnehmer", "Angestellter" ] }, "1555": { "input": "identification", "output": "Bezeichnung", "possible_translations": [ "Bezeichnung", "Identifizierung" ] }, "1556": { "input": "anger", "output": "Ärger", "possible_translations": [ "Zorn", "Ärger", "Grimm", "Furor", "Groll", "Wut", "Jähzorn", "Ingrimm", "ärgern" ] }, "1557": { "input": "destination", "output": "Reiseziel", "possible_translations": [ "Reiseziel", "Bestimmungsort" ] }, "1558": { "input": "inscription", "output": "Inschrift", "possible_translations": [ "Inschrift", "Widmung", "Zahl" ] }, "1559": { "input": "celebrity", "output": "berühmte Person", "possible_translations": [ "Celebrity", "Prominente", "Prominenter", "Zelebrität", "Star", "berühmte Person", "Promi", "Berühmtheit" ] }, "1560": { "input": "soap", "output": "Seife", "possible_translations": [ "Seife", "einseifen" ] }, "1561": { "input": "tide", "output": "Gezeiten", "possible_translations": [ "Tide", "Gezeiten" ] }, "1562": { "input": "fusion", "output": "Schmelzen", "possible_translations": [ "Verschmelzen", "Schmelzen" ] }, "1563": { "input": "assignment", "output": "Aufgabe", "possible_translations": [ "Aufgabe", "Einsatz" ] }, "1564": { "input": "mirror", "output": "Kopie", "possible_translations": [ "Spiegel", "Kopie" ] }, "1565": { "input": "physician", "output": "Arzt", "possible_translations": [ "Ärztin", "Arzt" ] }, "1566": { "input": "testimony", "output": "Zeugnis", "possible_translations": [ "Zeugnis" ] }, "1567": { "input": "accuracy", "output": "Genauigkeit", "possible_translations": [ "Präzision", "Genauigkeit" ] }, "1568": { "input": "cartoon", "output": "Zeichentrickfilm", "possible_translations": [ "Zeichentrickfilm", "Karton", "Karikatur" ] }, "1569": { "input": "arcade", "output": "Spielhalle", "possible_translations": [ "Spielhalle", "Arkade" ] }, "1570": { "input": "drainage", "output": "Drainage", "possible_translations": [ "Drainage" ] }, "1571": { "input": "rifle", "output": "Gewehr", "possible_translations": [ "Gewehr" ] }, "1572": { "input": "momentum", "output": "Schwung", "possible_translations": [ "Bewegungsmenge", "Schwung", "Impuls", "Moment", "Wucht", "Bewegungsgröße", "Schwungkraft" ] }, "1573": { "input": "clergy", "output": "Geistlichkeit", "possible_translations": [ "Geistlichkeit", "Klerus" ] }, "1574": { "input": "swing", "output": "Schaukel", "possible_translations": [ "schwanken", "Hutsche", "baumeln", "schaukeln", "schwingen", "Schaukel" ] }, "1575": { "input": "hardware", "output": "Eisenwaren", "possible_translations": [ "Eisenwaren", "Hardware" ] }, "1576": { "input": "colonel", "output": "Oberst", "possible_translations": [ "Oberst" ] }, "1577": { "input": "nobility", "output": "Adel", "possible_translations": [ "Adel" ] }, "1578": { "input": "liver", "output": "Leber", "possible_translations": [ "Leber" ] }, "1579": { "input": "blast", "output": "Windstoß", "possible_translations": [ "Windstoß" ] }, "1580": { "input": "bassist", "output": "Bassist", "possible_translations": [ "Bassist" ] }, "1581": { "input": "bench", "output": "Bank", "possible_translations": [ "Bank" ] }, "1582": { "input": "myth", "output": "Mythos", "possible_translations": [ "Mythos" ] }, "1583": { "input": "duet", "output": "Duett", "possible_translations": [ "Duett" ] }, "1584": { "input": "freight", "output": "Fracht", "possible_translations": [ "Fracht" ] }, "1585": { "input": "accordance", "output": "Übereinstimmung", "possible_translations": [ "Übereinstimmung" ] }, "1586": { "input": "congregation", "output": "Versammlung", "possible_translations": [ "Gemeinde", "Versammlung", "versammelte Gemeinde" ] }, "1587": { "input": "maturity", "output": "Reife", "possible_translations": [ "Reife" ] }, "1588": { "input": "commerce", "output": "Handel", "possible_translations": [ "Handel", "Kommerz" ] }, "1589": { "input": "municipality", "output": "Gemeinde", "possible_translations": [ "Munizipalität", "Gemeinde" ] }, "1590": { "input": "imprisonment", "output": "Gefangenschaft", "possible_translations": [ "Haft", "Gefangenschaft" ] }, "1591": { "input": "skeleton", "output": "Skeleton", "possible_translations": [ "Rohbau", "Haut und Knochen", "Gerippe", "Skelett", "Skeleton" ] }, "1592": { "input": "extinction", "output": "Aussterben", "possible_translations": [ "Aussterben" ] }, "1593": { "input": "passion", "output": "Leidenschaft", "possible_translations": [ "Passion", "Leidenschaft" ] }, "1594": { "input": "prayer", "output": "Prediger", "possible_translations": [ "Gebet", "Prediger" ] }, "1595": { "input": "limestone", "output": "Kalkstein", "possible_translations": [ "Kalkstein" ] }, "1596": { "input": "specialist", "output": "Spezialist", "possible_translations": [ "Facharzt", "Spezialist", "Fachmann", "Experte" ] }, "1597": { "input": "sketch", "output": "Skizze", "possible_translations": [ "Skizze", "skizzieren", "Sketch" ] }, "1598": { "input": "scope", "output": "Umfang", "possible_translations": [ "Umfang" ] }, "1599": { "input": "burn", "output": "Verbrennung", "possible_translations": [ "Verbrennung", "Bach", "verbrennen", "Brandwunde", "brennen" ] }, "1600": { "input": "nationalist", "output": "Nationalist", "possible_translations": [ "Nationalist", "Nationalistin", "nationalistisch" ] }, "1601": { "input": "conviction", "output": "Überzeugung", "possible_translations": [ "Verurteilung", "Überzeugung" ] }, "1602": { "input": "subsidiary", "output": "Tochterunternehmen", "possible_translations": [ "Tochterunternehmen", "Tochtergesellschaft", "ergänzend" ] }, "1603": { "input": "resort", "output": "Kurort", "possible_translations": [ "zurückfallen", "verlegen", "zurückgreifen", "Resort", "verfallen", "Kurort", "Ausweg", "Zuflucht", "Ferienort", "heimfallen", "zurückkehren", "kommen" ] }, "1604": { "input": "efficiency", "output": "Effizienz", "possible_translations": [ "Effizienz" ] }, "1605": { "input": "volunteer", "output": "Freiwilliger", "possible_translations": [ "Freiwilliger", "sich freiwillig melden", "anbieten", "Ehrenamtlicher", "Freiwillige", "sich anbieten", "Ehrenamtliche" ] }, "1606": { "input": "runway", "output": "Start- und Landebahn", "possible_translations": [ "Startbahn", "Landebahn", "SLB", "Laufsteg", "Flussbett", "Rollbahn", "Start- und Landebahn" ] }, "1607": { "input": "sphere", "output": "Kugel", "possible_translations": [ "Bereich", "Sphäre", "Kugel" ] }, "1608": { "input": "summary", "output": "Zusammenfassung", "possible_translations": [ "zusammenfassend", "Zusammenfassung" ] }, "1609": { "input": "trademark", "output": "Marke", "possible_translations": [ "Warenzeichen", "Marke" ] }, "1610": { "input": "instruction", "output": "Unterricht", "possible_translations": [ "Anweisung", "Unterricht", "Assemblerbefehl" ] }, "1611": { "input": "perception", "output": "Wahrnehmung", "possible_translations": [ "Wahrnehmung" ] }, "1612": { "input": "garage", "output": "Garage", "possible_translations": [ "Garage" ] }, "1613": { "input": "sexuality", "output": "Sexualität", "possible_translations": [ "Geschlecht", "Geschlechtlichkeit", "Sexualität" ] }, "1614": { "input": "lock", "output": "Schloss", "possible_translations": [ "Lock", "Locke", "blockieren", "Schloss", "abschließen", "Schiffshebewerk", "Schleuse" ] }, "1615": { "input": "freshman", "output": "Neuling", "possible_translations": [ "Neuling" ] }, "1616": { "input": "tool", "output": "Werkzeug", "possible_translations": [ "Teil", "Tool", "Gerät", "Werkzeug", "Instrument", "bearbeiten" ] }, "1617": { "input": "domain", "output": "Domäne", "possible_translations": [ "Wissensgebiet", "Gebiet", "Domain", "Domains", "Bezirk", "Definitionsbereich", "Bereich", "Domänen", "Domäne" ] }, "1618": { "input": "rape", "output": "Vergewaltigung", "possible_translations": [ "schänden", "Vergewaltigung", "vergewaltigen" ] }, "1619": { "input": "inquiry", "output": "Anfrage", "possible_translations": [ "Erkundigung", "Anfrage" ] }, "1620": { "input": "tendency", "output": "Tendenz neigen\" or tendieren)", "possible_translations": [ "Tendenz neigen\" or tendieren)" ] }, "1621": { "input": "permit", "output": "Genehmigung", "possible_translations": [ "erlauben", "Genehmigung", "genehmigen", "zulassen", "Erlaubnis" ] }, "1622": { "input": "athlete", "output": "Athlet/Athletin /", "possible_translations": [ "Athletin", "Sportlerin", "Athlet/Athletin /", "Sportler", "Athlet" ] }, "1623": { "input": "coffee", "output": "Kaffebohne", "possible_translations": [ "kaffeefarbig", "kaffeefarben", "Kaffee", "Kaffeebraun", "Kaffebohne", "Kaffeepflanze", "kaffeebraun", "Kaffeefarbe" ] }, "1624": { "input": "scorer", "output": "Torschütze", "possible_translations": [ "Torschütze" ] }, "1625": { "input": "mask", "output": "Maske", "possible_translations": [ "Maske", "maskieren", "sich maskieren" ] }, "1626": { "input": "effectiveness", "output": "Wirksamkeit", "possible_translations": [ "Effektivität", "Wirksamkeit" ] }, "1627": { "input": "availability", "output": "Vorhandensein", "possible_translations": [ "Verfügbarkeit", "Vorhandensein" ] }, "1628": { "input": "synthesis", "output": "Synthese", "possible_translations": [ "Synthese" ] }, "1629": { "input": "painter", "output": "Maler", "possible_translations": [ "Fahrzeuglackierer", "Fahrzeuglackiererin", "Hobbymalerin", "Freizeitmaler", "Malerin", "Anstreicher", "Kunstmalerin", "Anstreicherin", "Maler", "Fangleine", "Autolackiererin", "Kunstmaler", "Hobbymaler", "Freizeitmalerin", "Autolackierer" ] }, "1630": { "input": "referendum", "output": "Referendum", "possible_translations": [ "Referendum", "Volksabstimmung" ] }, "1631": { "input": "basement", "output": "Keller", "possible_translations": [ "Untergeschoss", "Keller" ] }, "1632": { "input": "judgment", "output": "Urteil", "possible_translations": [ "Urteilsvermögen", "Beurteilung", "Urteil" ] }, "1633": { "input": "quest", "output": "Suche", "possible_translations": [ "Queste", "Suche" ] }, "1634": { "input": "trap", "output": "Falle", "possible_translations": [ "Fallen stellen", "Falle", "Falltür", "Fallgrube", "Siphon", "fangen", "Klappe" ] }, "1635": { "input": "cream", "output": "Creme", "possible_translations": [ "schlagen", "jemanden eins überziehen", "Rahm", "cremen", "Obers", "Creme", "Kreme", "Sahne" ] }, "1636": { "input": "ballot", "output": "Stimmzettel", "possible_translations": [ "Stimmzettel" ] }, "1637": { "input": "performer", "output": "Künstler", "possible_translations": [ "Künstler", "Künstlerin" ] }, "1638": { "input": "adoption", "output": "Adoption", "possible_translations": [ "Adoption" ] }, "1639": { "input": "placement", "output": "Platzierung", "possible_translations": [ "Platzierung" ] }, "1640": { "input": "homage", "output": "Hommage", "possible_translations": [ "Huldigung", "Hommage" ] }, "1641": { "input": "citizenship", "output": "Staatsbürgerschaft", "possible_translations": [ "Bürgerschaft", "Staatsbürgerschaft", "Staatsangehörigkeit" ] }, "1642": { "input": "skiing", "output": "Schifahren", "possible_translations": [ "Skifahren", "Schifahren" ] }, "1643": { "input": "regulation", "output": "Regeln", "possible_translations": [ "Verordnung", "Regulativ", "Regeln", "Regelung" ] }, "1644": { "input": "mouse", "output": "Maus", "possible_translations": [ "Maus", "graue Maus", "mausen", "Mäuse fangen" ] }, "1645": { "input": "countryside", "output": "Land", "possible_translations": [ "Land" ] }, "1646": { "input": "export", "output": "Exportgut", "possible_translations": [ "Export", "Exportware", "Exportgut", "exportieren", "ausführen", "Ausfuhr" ] }, "1647": { "input": "cabin", "output": "Kabine", "possible_translations": [ "Kajüte", "Kabine" ] }, "1648": { "input": "colleague", "output": "Kollege", "possible_translations": [ "Mitarbeiterin", "Mitarbeiter", "Kollege", "Kollegin" ] }, "1649": { "input": "receiver", "output": "Empfangsgerät", "possible_translations": [ "Hörer", "Empfangsgerät", "Empfänger", "Hehler" ] }, "1650": { "input": "stomach", "output": "Bauch", "possible_translations": [ "Magen", "Bauch" ] }, "1651": { "input": "democracy", "output": "Demokratie", "possible_translations": [ "Demokratie" ] }, "1652": { "input": "dominance", "output": "Herrschaft", "possible_translations": [ "Dominanz", "Herrschaft" ] }, "1653": { "input": "installment", "output": "Folge", "possible_translations": [ "Folge", "Rate" ] }, "1654": { "input": "throat", "output": "Kehle", "possible_translations": [ "Kehle", "Hals", "Flaschenhals", "Rachen" ] }, "1655": { "input": "genius", "output": "Genialität", "possible_translations": [ "Genie", "Genialität" ] }, "1656": { "input": "keyboard", "output": "Tastatur", "possible_translations": [ "Keyboard", "Klaviatur", "Tastatur", "Manual" ] }, "1657": { "input": "fortune", "output": "Glück", "possible_translations": [ "Glück", "Vermögen", "Schicksal" ] }, "1658": { "input": "correspondence", "output": "Korrespondenz", "possible_translations": [ "Briefwechsel", "Korrespondenz" ] }, "1659": { "input": "diagnosis", "output": "Diagnose", "possible_translations": [ "Diagnose" ] }, "1660": { "input": "mud", "output": "Schlamm", "possible_translations": [ "Kot", "Schlamm" ] }, "1661": { "input": "silence", "output": "Stille", "possible_translations": [ "Schweigen", "Stille", "zum Schweigen bringen", "Ruhe!" ] }, "1662": { "input": "activist", "output": "Aktivist", "possible_translations": [ "Aktivist", "Aktivistin" ] }, "1663": { "input": "preservation", "output": "Erhaltung", "possible_translations": [ "Erhaltung" ] }, "1664": { "input": "businessman", "output": "Geschäftsmann", "possible_translations": [ "Geschäftsmann", "Unternehmer" ] }, "1665": { "input": "commit", "output": "Commit", "possible_translations": [ "begehen", "Commit" ] }, "1666": { "input": "editorial", "output": "Leitartikel", "possible_translations": [ "Leitartikel", "redaktionell" ] }, "1667": { "input": "cluster", "output": "Gruppe", "possible_translations": [ "Haufen", "Sternhaufen", "Traube", "Schwarm", "Gruppe", "Cluster", "Büschel", "Anhäufung", "Akkord" ] }, "1668": { "input": "configuration", "output": "Konfiguration", "possible_translations": [ "Konfiguration" ] }, "1669": { "input": "morale", "output": "Moral", "possible_translations": [ "Moral" ] }, "1670": { "input": "conductor", "output": "Dirigent", "possible_translations": [ "Dirigent", "Leiter", "Schaffner" ] }, "1671": { "input": "plastic", "output": "Plastik", "possible_translations": [ "Plastik-", "plastisch", "Kunststoff", "Plastik", "Plastikgeld" ] }, "1672": { "input": "boarding", "output": "Einschiffung", "possible_translations": [ "Einschiffung" ] }, "1673": { "input": "trilogy", "output": "Trilogie", "possible_translations": [ "Trilogie" ] }, "1674": { "input": "fault", "output": "Fehler", "possible_translations": [ "Schuld", "Fehler" ] }, "1675": { "input": "unity", "output": "Einheit", "possible_translations": [ "Einheit", "Identität" ] }, "1676": { "input": "immigration", "output": "Einwanderung", "possible_translations": [ "Einwanderung", "Immigration" ] }, "1677": { "input": "determination", "output": "Bestimmung", "possible_translations": [ "Unterscheidung", "Bestimmtheit", "Bestimmung", "Entschluss", "Determination", "Feststellung" ] }, "1678": { "input": "infant", "output": "Säugling", "possible_translations": [ "Baby", "Säugling" ] }, "1679": { "input": "calm", "output": "Stille", "possible_translations": [ "ruhig", "Ruhe", "beruhigen", "ruhig stellen", "Stille", "windstill" ] }, "1680": { "input": "steering", "output": "Lenkung", "possible_translations": [ "Lenkung" ] }, "1681": { "input": "fever", "output": "Fieber", "possible_translations": [ "Fieber" ] }, "1682": { "input": "reward", "output": "Belohnung", "possible_translations": [ "belohnen", "Belohnung" ] }, "1683": { "input": "depot", "output": "Depot", "possible_translations": [ "Depot" ] }, "1684": { "input": "prominence", "output": "Protuberanz", "possible_translations": [ "Protuberanz" ] }, "1685": { "input": "tier", "output": "Schicht", "possible_translations": [ "Schicht", "Etage", "Rang" ] }, "1686": { "input": "inability", "output": "Unfähigkeit", "possible_translations": [ "Unfähigkeit" ] }, "1687": { "input": "overtime", "output": "Verlängerung", "possible_translations": [ "Verlängerung", "Überstunden" ] }, "1688": { "input": "fraud", "output": "Betrug", "possible_translations": [ "Betrug", "Betrüger", "Betrügerin" ] }, "1689": { "input": "graduation", "output": "Abschlussfeier", "possible_translations": [ "Graduierung", "Abschluss", "Abschlussfeier" ] }, "1690": { "input": "transformation", "output": "Transformation", "possible_translations": [ "Transformation" ] }, "1691": { "input": "finger", "output": "Finger", "possible_translations": [ "Finger" ] }, "1692": { "input": "filter", "output": "Filter", "possible_translations": [ "Filter", "filtern", "filtrieren", "passieren" ] }, "1693": { "input": "spectrum", "output": "Spektrum", "possible_translations": [ "Spektrum" ] }, "1694": { "input": "sovereignty", "output": "Souveränität", "possible_translations": [ "Souveränität" ] }, "1695": { "input": "accommodation", "output": "Unterkunft", "possible_translations": [ "Anpassung", "Unterkunft" ] }, "1696": { "input": "shortage", "output": "Mangel", "possible_translations": [ "Knappheit", "Mangel" ] }, "1697": { "input": "galaxy", "output": "Galaxie", "possible_translations": [ "Galaxis", "Welteninsel", "Galaxie" ] }, "1698": { "input": "quantity", "output": "Quantität", "possible_translations": [ "Menge", "in Klammern", "Quantität" ] }, "1699": { "input": "funk", "output": "Funk", "possible_translations": [ "Funk" ] }, "1700": { "input": "blame", "output": "Schuld", "possible_translations": [ "verantwortlich machen", "beschuldigen", "Schuld" ] }, "1701": { "input": "enthusiasm", "output": "Begeisterung", "possible_translations": [ "Begeisterung", "Enthusiasmus", "Schwärmerei" ] }, "1702": { "input": "boom", "output": "Dröhnen", "possible_translations": [ "blühen", "Dröhnen", "florieren", "Ausleger", "Boom", "boomen", "dröhnen", "Aufschwung", "Baum", "Bumm" ] }, "1703": { "input": "compact", "output": "Pakt", "possible_translations": [ "Kontrakt", "kompakt", "Pakt" ] }, "1704": { "input": "relay", "output": "Staffellauf", "possible_translations": [ "Relais", "Staffellauf" ] }, "1705": { "input": "recommendation", "output": "Empfehlung", "possible_translations": [ "Empfehlung" ] }, "1706": { "input": "strain", "output": "Stamm", "possible_translations": [ "Stamm", "Erregerstamm" ] }, "1707": { "input": "clearing", "output": "Klärung", "possible_translations": [ "Rodung", "Aufklärung", "Lichtung", "Klärung" ] }, "1708": { "input": "array", "output": "Feld ;; Matrix", "possible_translations": [ "Fülle ; Reihe ; Feld ; Zahl ; Anzahl", "Feld ;; Matrix", "Tracht", "schmücken", "Arrangement ; Feld ; Übersicht", "Zeile", "Bekleidung", "Spalte", "Tabelle ;; Reihe" ] }, "1709": { "input": "flash", "output": "Blitz", "possible_translations": [ "blinken", "Blitz" ] }, "1710": { "input": "propeller", "output": "Propeller", "possible_translations": [ "Propeller" ] }, "1711": { "input": "confrontation", "output": "Konfrontation", "possible_translations": [ "Konfrontation", "Gegenüberstellung" ] }, "1712": { "input": "narrator", "output": "Erzähler", "possible_translations": [ "Erzähler", "Erzählerin" ] }, "1713": { "input": "nucleus", "output": "Zellkern", "possible_translations": [ "Atomkern", "Kern", "Nukleus", "Zellkern" ] }, "1714": { "input": "pollution", "output": "Verunreinigung", "possible_translations": [ "Umweltverschmutzung", "Verschmutzung", "Pollution", "Verunreinigung" ] }, "1715": { "input": "heating", "output": "Heizung", "possible_translations": [ "erhitzend", "Heizung" ] }, "1716": { "input": "displacement", "output": "Verstellung", "possible_translations": [ "Verstellung" ] }, "1717": { "input": "superstructure", "output": "Aufbauten", "possible_translations": [ "Aufbauten" ] }, "1718": { "input": "pocket", "output": "Tasche", "possible_translations": [ "Tasche" ] }, "1719": { "input": "welfare", "output": "Sozialhilfe", "possible_translations": [ "Wohlergehen", "Sozialhilfe", "Wohlfahrt" ] }, "1720": { "input": "spur", "output": "Ansporn", "possible_translations": [ "Sporn", "anspornen", "die Sporen geben", "mit Sporen versehen", "Ansporn" ] }, "1721": { "input": "imagination", "output": "Vorstellung", "possible_translations": [ "Einbildungskraft", "Fantasie", "Vorstellungskraft", "Vorstellung", "Einbildung", "Imagination" ] }, "1722": { "input": "anchor", "output": "Anker", "possible_translations": [ "ankern", "Anker" ] }, "1723": { "input": "undergraduate", "output": "Student", "possible_translations": [ "Student" ] }, "1724": { "input": "captive", "output": "Gefangener", "possible_translations": [ "gefangen", "Gefangener", "Gefangene" ] }, "1725": { "input": "trout", "output": "Forelle", "possible_translations": [ "Forelle" ] }, "1726": { "input": "silk", "output": "Seide", "possible_translations": [ "Seide" ] }, "1727": { "input": "steal", "output": "Schnäppchen", "possible_translations": [ "rauben", "Diebstahl", "Raub", "stehlen", "Schnäppchen", "entwenden", "klauen" ] }, "1728": { "input": "weakness", "output": "Schwäche", "possible_translations": [ "Schwäche" ] }, "1729": { "input": "viewer", "output": "Zuschauer", "possible_translations": [ "Zuschauerin", "Zuschauer" ] }, "1730": { "input": "disk", "output": "Scheibe", "possible_translations": [ "Scheibe" ] }, "1731": { "input": "breakdown", "output": "Betriebsstörung", "possible_translations": [ "Nervenzusammenbruch", "Betriebsstörung", "Panne", "Aufschlüsselung" ] }, "1732": { "input": "parade", "output": "Folge", "possible_translations": [ "Aufmarsch", "Parade", "Umzug", "Folge", "Abfolge" ] }, "1733": { "input": "platoon", "output": "Zug", "possible_translations": [ "Kolonne", "Zug" ] }, "1734": { "input": "photographer", "output": "Fotograf", "possible_translations": [ "Photograph", "Fotograf" ] }, "1735": { "input": "dedication", "output": "Widmung", "possible_translations": [ "Widmung" ] }, "1736": { "input": "manufacturer", "output": "Hersteller", "possible_translations": [ "Hersteller" ] }, "1737": { "input": "calendar", "output": "Kalender", "possible_translations": [ "Kalender" ] }, "1738": { "input": "monitoring", "output": "Überwachung", "possible_translations": [ "Überwachung" ] }, "1739": { "input": "implementation", "output": "Implementierung", "possible_translations": [ "Implementierung" ] }, "1740": { "input": "deer", "output": "Hirsch", "possible_translations": [ "Hirsch" ] }, "1741": { "input": "discrimination", "output": "Diskriminierung", "possible_translations": [ "Unterscheidung", "Diskriminierung", "Schlechterstellung" ] }, "1742": { "input": "breast", "output": "Brust", "possible_translations": [ "Brust" ] }, "1743": { "input": "concentrate", "output": "Konzentrat", "possible_translations": [ "Konzentrat", "konzentrieren", "sich konzentrieren" ] }, "1744": { "input": "emotion", "output": "Gefühl", "possible_translations": [ "Empfindung Emotion", "Gefühl" ] }, "1745": { "input": "freestyle", "output": "Freistilschwimmen", "possible_translations": [ "Freistil", "Freistilschwimmen" ] }, "1746": { "input": "grandmother", "output": "Großmutter", "possible_translations": [ "Oma", "Omi", "Großmutter" ] }, "1747": { "input": "civilization", "output": "Zivilisiertwerden", "possible_translations": [ "Kultur", "Zivilisiertwerden", "Zivilisation" ] }, "1748": { "input": "guidance", "output": "Anleitung", "possible_translations": [ "Anleitung", "Handlungsempfehlung", "Orientierungshilfe", "Richtungsweisung" ] }, "1749": { "input": "controller", "output": "Controller", "possible_translations": [ "Controller", "Aufseher", "Steuerung" ] }, "1750": { "input": "hometown", "output": "Heimatstadt", "possible_translations": [ "Heimatstadt" ] }, "1751": { "input": "slot", "output": "Schlitz", "possible_translations": [ "Schlitz", "Startfenster" ] }, "1752": { "input": "mortality", "output": "Sterblichkeit", "possible_translations": [ "Sterblichkeit", "Sterbeziffer", "Mortalitätsziffer", "Mortalität" ] }, "1753": { "input": "gospel", "output": "Evangelium", "possible_translations": [ "Evangelium" ] }, "1754": { "input": "coaster", "output": "Untersetzer", "possible_translations": [ "Untersetzer" ] }, "1755": { "input": "statute", "output": "Statut", "possible_translations": [ "Statut" ] }, "1756": { "input": "accounting", "output": "Buchhaltung", "possible_translations": [ "Buchhaltung" ] }, "1757": { "input": "torture", "output": "Folter", "possible_translations": [ "Tortur", "Folter", "foltern" ] }, "1758": { "input": "demolition", "output": "Zerstörung", "possible_translations": [ "Zerstörung", "Abbruch", "Demolierung", "Abriss" ] }, "1759": { "input": "farmland", "output": "Ackerland", "possible_translations": [ "Ackerland" ] }, "1760": { "input": "copyright", "output": "Urheberrecht", "possible_translations": [ "Urheberrecht" ] }, "1761": { "input": "complexity", "output": "Komplexität", "possible_translations": [ "Vielfalt", "Schwierigkeit", "Komplexität" ] }, "1762": { "input": "recipient", "output": "Empfänger", "possible_translations": [ "Empfängerin", "Empfänger" ] }, "1763": { "input": "nurse", "output": "Schwester", "possible_translations": [ "pflegen", "Kinderfrau", "Krankenschwester", "Pfleger", "Schwester", "Krankenpfleger", "Krankenpflegerin", "saugen", "Kindermädchen", "Pflegerin", "stillen", "dated: nähren", "hegen", "hätscheln" ] }, "1764": { "input": "interface", "output": "Schnittstelle", "possible_translations": [ "Schnittstelle", "Grenzfläche" ] }, "1765": { "input": "manufacture", "output": "Produktion", "possible_translations": [ "basteln", "Herstellung", "fertigen", "herstellen", "fabrizieren", "produzieren", "erzeugen", "anfertigen", "Produkt", "Produktion" ] }, "1766": { "input": "qualification", "output": "Qualifikation", "possible_translations": [ "Qualifikation", "Qualifizierung" ] }, "1767": { "input": "helium", "output": "Helium", "possible_translations": [ "Helium" ] }, "1768": { "input": "violation", "output": "Verletzung", "possible_translations": [ "Verletzung" ] }, "1769": { "input": "discharge", "output": "Entlassung", "possible_translations": [ "Entlassung", "Entladung", "entladen", "entlassen" ] }, "1770": { "input": "bedroom", "output": "Schlafzimmer", "possible_translations": [ "Schlafzimmer" ] }, "1771": { "input": "tackle", "output": "der Flaschenzug", "possible_translations": [ "der Flaschenzug", "Tackling", "in Angriff nehmen" ] }, "1772": { "input": "ancestor", "output": "Vorfahr", "possible_translations": [ "Vorfahrin", "Urahn", "Ahn", "Stammvater", "Vorfahr", "Ahne", "Urahne", "Ahnin", "Stammmutter" ] }, "1773": { "input": "premise", "output": "Lokal", "possible_translations": [ "Lokal", "Lokalität", "Voraussetzung", "Prämisse", "Räumlichkeiten" ] }, "1774": { "input": "trace", "output": "aufzeichnen", "possible_translations": [ "nachspüren", "Leiterplatte", "aufzeichnen", "aufspüren", "nachziehen", "verfolgen" ] }, "1775": { "input": "offspring", "output": "Hinterlassenschaft", "possible_translations": [ "Nachwuchs", "Nachkomminnen", "Nachfahrinnen", "Abkömmlinge", "Sprösslinge", "Nachkommen", "Nachkommenschaft", "Kind", "Sohn", "Sprössling", "Nachkommin", "Tochter", "Hinterlassenschaft", "Nachfahren", "Nachkomme" ] }, "1776": { "input": "perimeter", "output": "Umfang", "possible_translations": [ "Umfang" ] }, "1777": { "input": "oxide", "output": "Oxid", "possible_translations": [ "Oxid" ] }, "1778": { "input": "nitrogen", "output": "Stickstoff", "possible_translations": [ "Stickstoff" ] }, "1779": { "input": "dioxide", "output": "Dioxid", "possible_translations": [ "Dioxid" ] }, "1780": { "input": "rendition", "output": "Wiedergabe", "possible_translations": [ "Wiedergabe" ] }, "1781": { "input": "auction", "output": "Versteigerung", "possible_translations": [ "Versteigerung", "Auktion", "versteigern" ] }, "1782": { "input": "defender", "output": "Verteidiger", "possible_translations": [ "Verteidiger" ] }, "1783": { "input": "yield", "output": "Ertrag", "possible_translations": [ "abwerfen", "vorbeilassen", "Ausbeute", "Ertrag", "aufgeben", "Platz machen", "ergeben", "Vorfahrt gewähren", "gewähren" ] }, "1784": { "input": "kit", "output": "Ausrüstung", "possible_translations": [ "Satz", "Ausrüstung" ] }, "1785": { "input": "courage", "output": "Mut", "possible_translations": [ "Tapferkeit", "Courage", "Mut" ] }, "1786": { "input": "livestock", "output": "Vieh", "possible_translations": [ "Nutztiere", "Vieh" ] }, "1787": { "input": "starter", "output": "Anlasser", "possible_translations": [ "Starter", "Vorspeise", "Vorgericht", "Anlasser" ] }, "1788": { "input": "opener", "output": "Öffner", "possible_translations": [ "Öffner" ] }, "1789": { "input": "patent", "output": "Patent", "possible_translations": [ "patentieren", "patentieren lassen", "Patent" ] }, "1790": { "input": "mortar", "output": "Mörser", "possible_translations": [ "Mörtel", "Mörser" ] }, "1791": { "input": "plumage", "output": "Gefieder", "possible_translations": [ "Vogelgefieder", "Federkleid", "Gefieder", "Federschmuck" ] }, "1792": { "input": "isolation", "output": "Isolation", "possible_translations": [ "Isolation", "Isolierung" ] }, "1793": { "input": "particle", "output": "Partikel", "possible_translations": [ "Partikel", "Teilchen" ] }, "1794": { "input": "aesthetic", "output": "Ästhetik", "possible_translations": [ "Ästhetik", "ästhetisch" ] }, "1795": { "input": "patch", "output": "Patch", "possible_translations": [ "Patch", "Flicken" ] }, "1796": { "input": "feedback", "output": "Rückmeldung", "possible_translations": [ "Rückkopplung", "Rückmeldung" ] }, "1797": { "input": "brass", "output": "Messing", "possible_translations": [ "messingfarben", "Messing", "aus Messing", "messinggelb", "Messingfarbe", "Blechblasinstrumente", "Blech", "messingen" ] }, "1798": { "input": "hiatus", "output": "Hiatus", "possible_translations": [ "Hiatus", "Hiat", "Lücke" ] }, "1799": { "input": "orientation", "output": "Orientierungsvermögen", "possible_translations": [ "Orientierung", "Orientierungsvermögen" ] }, "1800": { "input": "cooking", "output": "Kochen", "possible_translations": [ "Kochen" ] }, "1801": { "input": "clause", "output": "Nebensatz", "possible_translations": [ "Teilsatz", "Klausel", "Nebensatz" ] }, "1802": { "input": "corporation", "output": "Unternehmen", "possible_translations": [ "Kapitalgesellschaft", "Unternehmen", "Körperschaft", "Innung", "Gemeindevertretung", "-rat", "Gilde" ] }, "1803": { "input": "breach", "output": "Bruch", "possible_translations": [ "Bresche", "Brechen", "Bruch", "Verstoß" ] }, "1804": { "input": "slope", "output": "Steigung", "possible_translations": [ "Steigung", "Hang", "Schlitzi", "Schlitzauge", "Gradient", "Ableitung" ] }, "1805": { "input": "instructor", "output": "Ausbilder", "possible_translations": [ "Ausbilder", "Lehrer" ] }, "1806": { "input": "uncertainty", "output": "Unsicherheit", "possible_translations": [ "Unsicherheit" ] }, "1807": { "input": "wrestler", "output": "Ringer", "possible_translations": [ "Ringer" ] }, "1808": { "input": "wildlife", "output": "Tierwelt", "possible_translations": [ "Fauna", "Tierwelt" ] }, "1809": { "input": "alert", "output": "Alarm", "possible_translations": [ "wachsam", "verständigen", "Alarm", "aufmerksam" ] }, "1810": { "input": "triumph", "output": "Triumph", "possible_translations": [ "Triumph", "triumphieren" ] }, "1811": { "input": "makeup", "output": "Schminke", "possible_translations": [ "Make-up", "Schminke" ] }, "1812": { "input": "ramp", "output": "Gangway", "possible_translations": [ "Gangway", "Auffahrt", "Rampe" ] }, "1813": { "input": "reflection", "output": "Reflexion", "possible_translations": [ "reflexion", "Reflexion", "Abbild", "Abwägung" ] }, "1814": { "input": "kilometre", "output": "Kilometer", "possible_translations": [ "Kilometer" ] }, "1815": { "input": "senator", "output": "Senator", "possible_translations": [ "Senator" ] }, "1816": { "input": "nominee", "output": "Nominierte", "possible_translations": [ "Kandidat", "Nominierte" ] }, "1817": { "input": "antagonist", "output": "Antagonist", "possible_translations": [ "Antagonist" ] }, "1818": { "input": "triangle", "output": "Triangel", "possible_translations": [ "Triangel", "Dreieck" ] }, "1819": { "input": "ghost", "output": "Schatten", "possible_translations": [ "Spuk", "Geist", "Erscheinung", "Schatten", "Phantom", "Gespenst" ] }, "1820": { "input": "shadow", "output": "Schatten", "possible_translations": [ "beschatten", "Schatten" ] }, "1821": { "input": "resemblance", "output": "Ähnlichkeit", "possible_translations": [ "Ähnlichkeit" ] }, "1822": { "input": "servant", "output": "Diener", "possible_translations": [ "Dienerin", "Helfer", "Diener", "Helferin" ] }, "1823": { "input": "diesel", "output": "Diesel", "possible_translations": [ "Diesel" ] }, "1824": { "input": "filling", "output": "Füllung", "possible_translations": [ "Füllung", "sättigend", "mächtig" ] }, "1825": { "input": "lunch", "output": "Mittagessen", "possible_translations": [ "Mittagessen", "Lunch", "lunchen", "zu Mittag essen" ] }, "1826": { "input": "comedian", "output": "Komiker", "possible_translations": [ "Komiker" ] }, "1827": { "input": "elimination", "output": "Elimination", "possible_translations": [ "Elimination" ] }, "1828": { "input": "outfit", "output": "Outfit", "possible_translations": [ "Outfit" ] }, "1829": { "input": "canon", "output": "Kanon", "possible_translations": [ "Kanon" ] }, "1830": { "input": "caution", "output": "Vorsicht", "possible_translations": [ "Vorsicht", "Behutsamkeit", "Achtsamkeit", "Kaution", "verwarnen", "warnen", "Warnung" ] }, "1831": { "input": "teenager", "output": "Jugendlicher", "possible_translations": [ "Jugendliche", "Jugendlicher" ] }, "1832": { "input": "similarity", "output": "Ähnlichkeit", "possible_translations": [ "Ähnlichkeit" ] }, "1833": { "input": "poster", "output": "Plakat", "possible_translations": [ "Pfosten", "Anschlag", "Poster", "Plakat" ] }, "1834": { "input": "log", "output": "Holzklotz", "possible_translations": [ "Stamm", "Scheit", "Baumstamm", "Holzklotz", "Holzscheit" ] }, "1835": { "input": "ancestry", "output": "Vorfahren", "possible_translations": [ "Vorfahren" ] }, "1836": { "input": "realism", "output": "Realismus", "possible_translations": [ "Realismus" ] }, "1837": { "input": "patronage", "output": "schirmherrschaft", "possible_translations": [ "schirmherrschaft" ] }, "1838": { "input": "shipyard", "output": "Werft", "possible_translations": [ "Werft" ] }, "1839": { "input": "entity", "output": "Wesen Wesenheit Dasein", "possible_translations": [ "Wesen Wesenheit Dasein" ] }, "1840": { "input": "deadline", "output": "Stichtag", "possible_translations": [ "Stichtag", "Termin", "Frist" ] }, "1841": { "input": "enzyme", "output": "Enzym", "possible_translations": [ "Enzym" ] }, "1842": { "input": "powder", "output": "Puder", "possible_translations": [ "Puder", "Pulver" ] }, "1843": { "input": "drunk", "output": "Trinker", "possible_translations": [ "betrunken", "besoffen", "Trinker" ] }, "1844": { "input": "insect", "output": "Insekt", "possible_translations": [ "Insekt", "Kerf", "Kerbtier" ] }, "1845": { "input": "counterpart", "output": "Gegenstück", "possible_translations": [ "Duplikat", "Kopie", "Gegenstück", "Ebenbild", "Pendant" ] }, "1846": { "input": "cloth", "output": "Kleidungsstück", "possible_translations": [ "Stoff", "Tuch", "Kleidungsstück" ] }, "1847": { "input": "supervision", "output": "Aufsicht", "possible_translations": [ "Beaufsichtigung", "Aufsicht" ] }, "1848": { "input": "climax", "output": "Höhepunkt", "possible_translations": [ "Orgasmus", "Höhepunkt" ] }, "1849": { "input": "hosting", "output": "Hosting", "possible_translations": [ "Hosting" ] }, "1850": { "input": "sitcom", "output": "Sitcom", "possible_translations": [ "Sitcom" ] }, "1851": { "input": "unrest", "output": "Unruhen", "possible_translations": [ "Unruhen" ] }, "1852": { "input": "abundance", "output": "Überfluss", "possible_translations": [ "Überfluss" ] }, "1853": { "input": "deity", "output": "Gott", "possible_translations": [ "Gott", "Gottheit" ] }, "1854": { "input": "horn", "output": "Horn", "possible_translations": [ "Waldhorn", "Muschel", "Hupe", "Blech", "Ständer", "Horn", "Jagdhorn", "Trichter" ] }, "1855": { "input": "spore", "output": "Spore", "possible_translations": [ "Spore" ] }, "1856": { "input": "complaint", "output": "Beschwerde", "possible_translations": [ "Monierung", "Leiden", "Beanstandung", "Klage", "Beschwerde", "Reklamation", "Krankheit", "Anzeige" ] }, "1857": { "input": "prose", "output": "Prosa", "possible_translations": [ "Prosa" ] }, "1858": { "input": "gasoline", "output": "Benzin", "possible_translations": [ "Benzin" ] }, "1859": { "input": "constituency", "output": "Wahlkreis", "possible_translations": [ "Wahlkreis" ] }, "1860": { "input": "humour", "output": "Humor", "possible_translations": [ "nachgeben", "Schmäh", "Witz", "Humor", "Stimmung", "Laune" ] }, "1861": { "input": "stake", "output": "Pfahl", "possible_translations": [ "Pflock", "anpflocken", "hochbinden", "Pfahl", "Marterpfahl", "anbinden", "pfählen" ] }, "1862": { "input": "deficit", "output": "Defizit", "possible_translations": [ "Defizit" ] }, "1863": { "input": "collector", "output": "Kollektor", "possible_translations": [ "Sammlerin", "Sammler", "Kollektor", "Kassierer" ] }, "1864": { "input": "integration", "output": "Integration", "possible_translations": [ "Integration" ] }, "1865": { "input": "pride", "output": "Stolz", "possible_translations": [ "Stolz sein auf", "Dünkel", "Etelkeit", "Hochmut", "Trotz", "Rudel", "Stolz", "kleines Neunauge" ] }, "1866": { "input": "boxing", "output": "Boxen", "possible_translations": [ "Boxen" ] }, "1867": { "input": "coronation", "output": "Krönung", "possible_translations": [ "Krönung" ] }, "1868": { "input": "comeback", "output": "Rückkehr", "possible_translations": [ "Comeback", "Rückkehr" ] }, "1869": { "input": "mob", "output": "Herde Kängurus", "possible_translations": [ "Känguruherde", "Herde Kängurus", "Pöbel" ] }, "1870": { "input": "registration", "output": "Registrierung", "possible_translations": [ "Rezeption", "Anmeldung", "Anmelden", "Registrierung", "Empfang" ] }, "1871": { "input": "shooter", "output": "Knarre", "possible_translations": [ "Schütze", "Knarre", "Ballerspiel" ] }, "1872": { "input": "renovation", "output": "Renovierung", "possible_translations": [ "Renovierung" ] }, "1873": { "input": "warrant", "output": "Nachweis", "possible_translations": [ "Nachweis", "garantieren" ] }, "1874": { "input": "terrorist", "output": "Terrorist", "possible_translations": [ "Terroristin", "Terrorist" ] }, "1875": { "input": "reactor", "output": "Reagenz", "possible_translations": [ "Atommeiler", "Meiler", "Atomreaktor", "Reagenz", "Reaktor" ] }, "1876": { "input": "lecture", "output": "Vorlesung", "possible_translations": [ "Vorlesung", "Vortrag" ] }, "1877": { "input": "calcium", "output": "Kalzium", "possible_translations": [ "Kalzium", "Calcium" ] }, "1878": { "input": "hub", "output": "Hub", "possible_translations": [ "Zentrum", "Radnabe", "Netzknoten", "Drehkreuz", "Hub", "Drehscheibe", "Nabe" ] }, "1879": { "input": "framework", "output": "Bezugssystem", "possible_translations": [ "Bezugssystem", "Gerüst", "Fachwerk", "Gefüge", "Rahmenkonzept", "Rahmenwerk", "Programmiergerüst", "Rahmen" ] }, "1880": { "input": "tragedy", "output": "Tragödie", "possible_translations": [ "Tragödie" ] }, "1881": { "input": "recall", "output": "Rückruf", "possible_translations": [ "sich entsinnen", "zurückrufen", "gedenken", "Rückrufaktion", "Rückruf", "sich erinnern" ] }, "1882": { "input": "client", "output": "Kunde", "possible_translations": [ "Endverbraucher", "Kunde", "Klient ; Klient", "Konsument", "Klient" ] }, "1883": { "input": "plaque", "output": "Zahnbelag", "possible_translations": [ "Plaque", "Plakette", "Zahnbelag" ] }, "1884": { "input": "knife", "output": "Messer", "possible_translations": [ "Messer" ] }, "1885": { "input": "consultant", "output": "Berater", "possible_translations": [ "Berater", "Beraterin" ] }, "1886": { "input": "pyramid", "output": "Pyramide", "possible_translations": [ "Pyramide" ] }, "1887": { "input": "drag", "output": "Widerstand", "possible_translations": [ "zerren", "sich dahinziehen", "schleppen", "schleifen", "sich ziehen", "ziehen", "Luftwiderstand", "Widerstand" ] }, "1888": { "input": "continuation", "output": "Fortsetzung", "possible_translations": [ "Fortsetzung" ] }, "1889": { "input": "shed", "output": "Karre", "possible_translations": [ "Karre", "Schuppen", "Schuppen im Hinterhof", "vergießen", "Rostlaube" ] }, "1890": { "input": "corn", "output": "Korn", "possible_translations": [ "Zerealie", "Hühnerauge", "Getreide", "Korn" ] }, "1891": { "input": "rope", "output": "Seil", "possible_translations": [ "Seil", "Tau" ] }, "1892": { "input": "monsoon", "output": "Monsun", "possible_translations": [ "Monsun", "Monsunwind", "Monsunregen", "Monsunzeit" ] }, "1893": { "input": "barrel", "output": "Lauf", "possible_translations": [ "Fass", "Barrel", "Lauf", "Tonne" ] }, "1894": { "input": "gravel", "output": "Kies", "possible_translations": [ "Kiesel", "schottern", "Kies", "Schotter" ] }, "1895": { "input": "fuselage", "output": "Flugzeugrumpf", "possible_translations": [ "Flugzeugrumpf" ] }, "1896": { "input": "membrane", "output": "Membran", "possible_translations": [ "Membran", "Membrane", "Häutchen" ] }, "1897": { "input": "merchandise", "output": "Waren", "possible_translations": [ "Waren" ] }, "1898": { "input": "cure", "output": "Heilung", "possible_translations": [ "kurieren", "räuchern", "trocknen", "heilen", "Heilung", "aushärten", "pökeln", "haltbar machen" ] }, "1899": { "input": "mentor", "output": "Mentor", "possible_translations": [ "Mentor" ] }, "1900": { "input": "dancer", "output": "Tänzerin", "possible_translations": [ "Tänzerin", "Tänzer" ] }, "1901": { "input": "intercept", "output": "Achsenabschnitt", "possible_translations": [ "Achsenabschnitt", "abfangen" ] }, "1902": { "input": "spy", "output": "Spion", "possible_translations": [ "Spion", "Spionin", "ausspionieren" ] }, "1903": { "input": "contingent", "output": "Anteil", "possible_translations": [ "Kontingent", "abhängig", "Anteil", "möglich" ] }, "1904": { "input": "motif", "output": "Motiv", "possible_translations": [ "Motiv" ] }, "1905": { "input": "reservoir", "output": "Stausee", "possible_translations": [ "Reservoir", "Stausee" ] }, "1906": { "input": "bankruptcy", "output": "Bankrott", "possible_translations": [ "Bankrott" ] }, "1907": { "input": "guilt", "output": "Schuldgefühl", "possible_translations": [ "Schuldgefühl", "Schuld" ] }, "1908": { "input": "tobacco", "output": "Tabakpflanze", "possible_translations": [ "Tabakpflanze", "Tabak" ] }, "1909": { "input": "punt", "output": "Stocherkahn", "possible_translations": [ "Stocherkahn", "stochern" ] }, "1910": { "input": "fitness", "output": "Tauglichkeit", "possible_translations": [ "Fitness", "Zweckmäßigkeit", "Tauglichkeit" ] }, "1911": { "input": "decoration", "output": "Dekorieren", "possible_translations": [ "Verschönerung", "Dekorieren", "Dekoration", "Verschönern", "Auszeichnung" ] }, "1912": { "input": "consumer", "output": "Konsument", "possible_translations": [ "Endverbraucher", "Verbraucher", "Konsument" ] }, "1913": { "input": "storey", "output": "Stock", "possible_translations": [ "Stock", "Geschoss", "Stockwerk", "Etage" ] }, "1914": { "input": "gambling", "output": "Glücksspiel", "possible_translations": [ "Glücksspiel" ] }, "1915": { "input": "vinyl", "output": "Vinyl", "possible_translations": [ "Vinyl-Schallplatte", "Schallplatte", "Vinyl" ] }, "1916": { "input": "profession", "output": "Beruf", "possible_translations": [ "Beruf" ] }, "1917": { "input": "visibility", "output": "Sicht", "possible_translations": [ "Sicht", "Sichtweite", "Sichtverhältnisse", "Sichtbarkeit" ] }, "1918": { "input": "mobility", "output": "Mobilität", "possible_translations": [ "Beweglichkeit", "Mobilität" ] }, "1919": { "input": "propulsion", "output": "Antrieb", "possible_translations": [ "Antrieb" ] }, "1920": { "input": "inspection", "output": "Inspektion", "possible_translations": [ "Prüfung", "Inspektion" ] }, "1921": { "input": "luxury", "output": "Luxus", "possible_translations": [ "Luxus" ] }, "1922": { "input": "sprint", "output": "Spurt", "possible_translations": [ "Spurt", "spurten", "Sprint", "Kurzstreckenlauf" ] }, "1923": { "input": "predator", "output": "Raubtier", "possible_translations": [ "Raubtier" ] }, "1924": { "input": "superhero", "output": "Superheld", "possible_translations": [ "Superheld" ] }, "1925": { "input": "sink", "output": "Waschbecken", "possible_translations": [ "sinken", "versenken", "senken", "Abfluss", "Waschbecken" ] }, "1926": { "input": "shrine", "output": "Schrein", "possible_translations": [ "Schrein" ] }, "1927": { "input": "precursor", "output": "Edukt", "possible_translations": [ "Edukt", "Präkursor", "Vorläufer" ] }, "1928": { "input": "ecology", "output": "Ökologie", "possible_translations": [ "Ökologie" ] }, "1929": { "input": "plug", "output": "Stecker", "possible_translations": [ "Stecker", "Stöpsel" ] }, "1930": { "input": "liberty", "output": "Freiheit", "possible_translations": [ "Freiheit" ] }, "1931": { "input": "replica", "output": "Nachbildung", "possible_translations": [ "Nachbildung", "exakte Kopie" ] }, "1932": { "input": "gale", "output": "Sturm", "possible_translations": [ "Sturm", "Gagelstrauch" ] }, "1933": { "input": "visitor", "output": "Besucher", "possible_translations": [ "Gast", "Gästin", "Besucherin", "Besucher" ] }, "1934": { "input": "ministry", "output": "Ministerium", "possible_translations": [ "Ministerium" ] }, "1935": { "input": "pipe", "output": "Rohr", "possible_translations": [ "Orgelpfeife", "Rohr", "Flöte", "Pfeife" ] }, "1936": { "input": "counsel", "output": "Rat", "possible_translations": [ "Rat", "Anwältin", "Ratschlag", "Anwalt", "Beratung" ] }, "1937": { "input": "latitude", "output": "Breite", "possible_translations": [ "geographische Breite", "Breite", "Breitenkreis", "Breitengrad" ] }, "1938": { "input": "reproduction", "output": "Fortpflanzung", "possible_translations": [ "Reproduktion", "Fortpflanzung" ] }, "1939": { "input": "unemployment", "output": "Arbeitslosigkeit", "possible_translations": [ "Arbeitslosigkeit" ] }, "1940": { "input": "duck", "output": "Ente", "possible_translations": [ "Ente" ] }, "1941": { "input": "farmer", "output": "Landwirt", "possible_translations": [ "Bäuerin ; Farmer", "Farmerin ; Züchter", "Landmann", "Landwirtin ; Bauer", "Züchterin", "Landwirt", "Landfrau" ] }, "1942": { "input": "recreation", "output": "Erholung", "possible_translations": [ "Erholung", "Unterhaltung" ] }, "1943": { "input": "accent", "output": "Betonung", "possible_translations": [ "Akzent", "Betonung" ] }, "1944": { "input": "cage", "output": "Käfig", "possible_translations": [ "Käfig" ] }, "1945": { "input": "maneuver", "output": "Manöver", "possible_translations": [ "manövrieren", "Manöver" ] }, "1946": { "input": "utility", "output": "Nützlichkeit", "possible_translations": [ "Nützlichkeit" ] }, "1947": { "input": "moisture", "output": "Feuchtigkeit", "possible_translations": [ "Nässe", "Feuchtigkeit" ] }, "1948": { "input": "bread", "output": "Brot", "possible_translations": [ "Brot", "panieren", "Kohle" ] }, "1949": { "input": "harmony", "output": "Harmonie", "possible_translations": [ "Harmonie" ] }, "1950": { "input": "carriage", "output": "Wagen", "possible_translations": [ "Haltung", "Kutsche", "Wagon", "Wagen", "Gang" ] }, "1951": { "input": "morality", "output": "Moral", "possible_translations": [ "Moralität", "Moral" ] }, "1952": { "input": "academy", "output": "Akademie", "possible_translations": [ "Akademie", "akademische Einrichtung" ] }, "1953": { "input": "reunion", "output": "Treffen", "possible_translations": [ "Wiedervereinigung", "Zusammenkunft", "Treffen" ] }, "1954": { "input": "appreciation", "output": "Beurteilung", "possible_translations": [ "Dankbarkeit", "Wertzunahme", "Wertschätzung", "Würdigung", "Beurteilung", "Anerkennung" ] }, "1955": { "input": "ideology", "output": "Ideologie", "possible_translations": [ "Ideologie" ] }, "1956": { "input": "censorship", "output": "Zensur", "possible_translations": [ "Zensur" ] }, "1957": { "input": "isotope", "output": "Isotop", "possible_translations": [ "Isotop" ] }, "1958": { "input": "outflow", "output": "Abfluss", "possible_translations": [ "Abfluss" ] }, "1959": { "input": "turnpike", "output": "Mautstraße", "possible_translations": [ "Mautstraße" ] }, "1960": { "input": "prosperity", "output": "Prosperität", "possible_translations": [ "Prosperität", "Wohlstand" ] }, "1961": { "input": "suite", "output": "Suite", "possible_translations": [ "Suite" ] }, "1962": { "input": "courtyard", "output": "Hof", "possible_translations": [ "Hof" ] }, "1963": { "input": "coinage", "output": "Münzprägung", "possible_translations": [ "Münzprägung" ] }, "1964": { "input": "dinosaur", "output": "Dinosaurier", "possible_translations": [ "Saurierin", "Saurier", "Dinosaurier", "Dinosaurierin" ] }, "1965": { "input": "resource", "output": "Hilfsmittel", "possible_translations": [ "Hilfsmittel", "Ressource", "Mittel" ] }, "1966": { "input": "equality", "output": "Gleichheit", "possible_translations": [ "Gleichberechtigung", "Gleichheit" ] }, "1967": { "input": "choreography", "output": "Choreographie", "possible_translations": [ "Choreographie", "Choreografie" ] }, "1968": { "input": "abortion", "output": "Abtreibung", "possible_translations": [ "Abtreibung", "Fehlgeburt" ] }, "1969": { "input": "rejection", "output": "Ablehnung", "possible_translations": [ "Ablehnung" ] }, "1970": { "input": "constellation", "output": "Konstellation", "possible_translations": [ "Sternzeichen", "Sternbild", "Konstellation" ] }, "1971": { "input": "snake", "output": "Schlange", "possible_translations": [ "schlängeln", "sich winden", "Wurm", "winden", "Schlange" ] }, "1972": { "input": "supervisor", "output": "Aufseher", "possible_translations": [ "Vorgesetzter", "Aufseher" ] }, "1973": { "input": "granite", "output": "Granit", "possible_translations": [ "Granit" ] }, "1974": { "input": "superiority", "output": "Überlegenheit", "possible_translations": [ "Überlegenheit" ] }, "1975": { "input": "icon", "output": "Symbol", "possible_translations": [ "Bild", "Icon", "Symbol", "Ikone" ] }, "1976": { "input": "menu", "output": "Menü", "possible_translations": [ "Menü", "Speisekarte" ] }, "1977": { "input": "alpha", "output": "Alpha", "possible_translations": [ "Alpha" ] }, "1978": { "input": "persecution", "output": "Verfolgung", "possible_translations": [ "Verfolgung" ] }, "1979": { "input": "wolf", "output": "Wolf", "possible_translations": [ "herunterschlingen", "Wolf" ] }, "1980": { "input": "occurrence", "output": "Vorfall", "possible_translations": [ "Vorfall" ] }, "1981": { "input": "swim", "output": "Schwimmen", "possible_translations": [ "schwimmen", "Schwimmen" ] }, "1982": { "input": "slide", "output": "Rutsche", "possible_translations": [ "Objektträger", "ausrutschen", "Erdrutsch", "Dia", "rutschen", "Klarsichtfolie", "gleiten", "Rutsche" ] }, "1983": { "input": "cockpit", "output": "Cockpit", "possible_translations": [ "Cockpit", "Pilotenkanzel" ] }, "1984": { "input": "elephant", "output": "Elefant", "possible_translations": [ "Elefantenbulle", "Elefantin", "Elefantenkuh", "Elefant", "Elefantenkalb" ] }, "1985": { "input": "novelist", "output": "Novellist", "possible_translations": [ "Novellist", "Romancier" ] }, "1986": { "input": "accession", "output": "Beitritt", "possible_translations": [ "Vermögenszuwachs", "Antritt", "Beitritt", "Thronbesteigung", "Zuwachs", "Besteigung" ] }, "1987": { "input": "verdict", "output": "Gerichtsurteil", "possible_translations": [ "Urteil", "Gerichtsurteil" ] }, "1988": { "input": "wage", "output": "Lohn", "possible_translations": [ "Lohn", "führen", "Arbeitsentgelt" ] }, "1989": { "input": "bottle", "output": "Flasche", "possible_translations": [ "die Flasche geben", "Mumm", "in Flaschen abfüllen", "Flasche" ] }, "1990": { "input": "dissolution", "output": "Auflösung", "possible_translations": [ "Auflösung" ] }, "1991": { "input": "jacket", "output": "Jackett", "possible_translations": [ "Jacke", "Jackett" ] }, "1992": { "input": "pianist", "output": "Pianist", "possible_translations": [ "Pianistin", "Klavierspielerin", "Pianist", "Klavierspieler" ] }, "1993": { "input": "ambush", "output": "Hinterhalt", "possible_translations": [ "einen Hinterhalt legen", "aus dem Hinterhalt angreifen", "Hinterhalt" ] }, "1994": { "input": "blog", "output": "Blog", "possible_translations": [ "Netztagebuch", "Blog", "bloggen" ] }, "1995": { "input": "bag", "output": "Beutel", "possible_translations": [ "Tüte", "Sack", "Beutel", "Tasche" ] }, "1996": { "input": "puzzle", "output": "Rätsel", "possible_translations": [ "Geduldsspiel", "Geduldspiel", "Rätsel", "verwirren", "durcheinander bringen", "Puzzle" ] }, "1997": { "input": "emergence", "output": "Emergenz", "possible_translations": [ "Emergenz" ] }, "1998": { "input": "foul", "output": "Foul", "possible_translations": [ "verstopfen", "verwirren", "vulgär ausdrückend", "verwirrt werden", "foul", "faul", "widerlich", "beschmutzen", "unanständig", "unflätig", "verschmutzen", "schmutzig", "garstig", "foulen", "verwickeln", "Foul", "Regelverstoß", "verstopften", "sich verwickeln", "unrein", "stinkend" ] }, "1999": { "input": "update", "output": "Aktualisierung", "possible_translations": [ "Update", "aktualisieren", "Aktualisierung" ] }, "2000": { "input": "potassium", "output": "Kalium", "possible_translations": [ "Kalium" ] }, "2001": { "input": "innovation", "output": "Innovation", "possible_translations": [ "Novität", "Innovation" ] }, "2002": { "input": "fairy", "output": "Fee", "possible_translations": [ "Elfe", "Fee" ] }, "2003": { "input": "plasma", "output": "Plasma", "possible_translations": [ "Plasma" ] }, "2004": { "input": "coral", "output": "Korallenriff", "possible_translations": [ "Korallenriff", "Koralle", "koralle" ] }, "2005": { "input": "camouflage", "output": "Tarnung", "possible_translations": [ "Tarnung", "tarnen" ] }, "2006": { "input": "cooling", "output": "Kühlung", "possible_translations": [ "Kühlung" ] }, "2007": { "input": "gunnery", "output": "Schießwesen", "possible_translations": [ "Schießwesen" ] }, "2008": { "input": "spider", "output": "Spinne", "possible_translations": [ "Spinne" ] }, "2009": { "input": "defendant", "output": "Angeklagter", "possible_translations": [ "Angeklagter", "Angeklagte" ] }, "2010": { "input": "autonomy", "output": "Autonomie", "possible_translations": [ "Autonomie" ] }, "2011": { "input": "spiral", "output": "Spirale", "possible_translations": [ "Spirale" ] }, "2012": { "input": "disposal", "output": "Beseitigung", "possible_translations": [ "Entsorgung", "Beseitigung", "Verfügung" ] }, "2013": { "input": "certification", "output": "Zertifizierung", "possible_translations": [ "Zertifizierung" ] }, "2014": { "input": "funnel", "output": "Schlot", "possible_translations": [ "Schlot", "Trichter" ] }, "2015": { "input": "pose", "output": "Pose", "possible_translations": [ "Pose", "stellen", "posieren", "legen" ] }, "2016": { "input": "commissioner", "output": "Kommissionsmitglied", "possible_translations": [ "Kommissar", "Kommissionsmitglied", "Kommissarin" ] }, "2017": { "input": "ditch", "output": "Graben", "possible_translations": [ "Graben", "Schanze", "entledigen", "notwassern", "schwänzen" ] }, "2018": { "input": "texture", "output": "Textur", "possible_translations": [ "Textur" ] }, "2019": { "input": "virtue", "output": "Tugend", "possible_translations": [ "Tugend", "Keuschheit" ] }, "2020": { "input": "treason", "output": "Verrat", "possible_translations": [ "Verrat" ] }, "2021": { "input": "grace", "output": "Gnade", "possible_translations": [ "Grazie", "Fristverlängerung", "Huld", "Zahlungsfrist", "schmücken", "Gunst", "Anmut", "Gnade", "Tischgebet", "zieren", "Aufschub" ] }, "2022": { "input": "inflation", "output": "Aufblasen", "possible_translations": [ "Inflation", "Aufblähung", "Aufblasen" ] }, "2023": { "input": "oxidation", "output": "Oxidation", "possible_translations": [ "Oxidation", "Oxydation" ] }, "2024": { "input": "pet", "output": "Haustier", "possible_translations": [ "", "Liebling", "streicheln", "Pet", "Haustier", "Heimtier" ] }, "2025": { "input": "hunter", "output": "Jäger", "possible_translations": [ "Jäger" ] }, "2026": { "input": "drought", "output": "Dürre", "possible_translations": [ "Trockenzeit", "Trockenheit", "Dürre" ] }, "2027": { "input": "conscience", "output": "Gewissen", "possible_translations": [ "Gewissen" ] }, "2028": { "input": "theology", "output": "Theologie", "possible_translations": [ "Theologie" ] }, "2029": { "input": "trunk", "output": "Rüssel", "possible_translations": [ "Koffer", "Kofferraum", "Stamm", "Rüssel", "Truhe" ] }, "2030": { "input": "sodium", "output": "Natrium", "possible_translations": [ "Natrium" ] }, "2031": { "input": "ambition", "output": "Ehrgeiz", "possible_translations": [ "Ambition", "Ehrgeiz" ] }, "2032": { "input": "customer", "output": "Kunde", "possible_translations": [ "Kunde", "Käufer", "Abnehmer" ] }, "2033": { "input": "mercury", "output": "Quecksilber", "possible_translations": [ "Quecksilber" ] }, "2034": { "input": "aggression", "output": "Aggression", "possible_translations": [ "Aggression", "Angriff" ] }, "2035": { "input": "columnist", "output": "Kolumnist", "possible_translations": [ "Kolumnist", "Kolumnistin" ] }, "2036": { "input": "advisor", "output": "Berater", "possible_translations": [ "Berater", "Beraterin" ] }, "2037": { "input": "sponsor", "output": "Sponsor", "possible_translations": [ "Sponsor", "sponsern", "Sponsorin" ] }, "2038": { "input": "conception", "output": "Empfängnis", "possible_translations": [ "Empfängnis" ] }, "2039": { "input": "continuity", "output": "Kontinuität", "possible_translations": [ "Kontinuität", "Stetigkeit" ] }, "2040": { "input": "plantation", "output": "Plantage", "possible_translations": [ "Plantage" ] }, "2041": { "input": "habit", "output": "Gewohnheit", "possible_translations": [ "Kutte", "Gewohnheit", "Habitus" ] }, "2042": { "input": "tributary", "output": "Nebenfluss", "possible_translations": [ "Nebenfluss", "Zufluss" ] }, "2043": { "input": "outline", "output": "Umriss", "possible_translations": [ "Kontur", "Umriss" ] }, "2044": { "input": "numbering", "output": "Nummerierung", "possible_translations": [ "Nummerierung" ] }, "2045": { "input": "staging", "output": "Aufführung", "possible_translations": [ "Regie", "Inszenierung", "Aufführung" ] }, "2046": { "input": "surgeon", "output": "Chirurg", "possible_translations": [ "Chirurgin", "Chirurg" ] }, "2047": { "input": "bite", "output": "Biss", "possible_translations": [ "beißen", "Bissen", "Stich", "Biss" ] }, "2048": { "input": "agenda", "output": "Tagesordnung", "possible_translations": [ "Tagesordnung", "Agenda" ] }, "2049": { "input": "pin", "output": "Stift", "possible_translations": [ "Anstecker", "Stift", "Stecknadel", "Nadel", "Bolzen", "Fesselung" ] }, "2050": { "input": "ladder", "output": "Leiter", "possible_translations": [ "Leiter", "Laufmasche" ] }, "2051": { "input": "comfort", "output": "Trost", "possible_translations": [ "trösten", "ermutigen", "Trost", "Bequemlichkeit", "Behaglichkeit", "Komfort", "Tröstung" ] }, "2052": { "input": "modification", "output": "Änderung", "possible_translations": [ "Modifikation", "Änderung", "Abänderung" ] }, "2053": { "input": "rehearsal", "output": "Probe", "possible_translations": [ "Probe" ] }, "2054": { "input": "archipelago", "output": "Archipel", "possible_translations": [ "Inselgruppe", "Archipel" ] }, "2055": { "input": "psychology", "output": "Psychologie", "possible_translations": [ "Psychologie", "Seelenkunde" ] }, "2056": { "input": "supplement", "output": "Ergänzung", "possible_translations": [ "Nachtrag", "Ergänzung" ] }, "2057": { "input": "bicycle", "output": "Fahrrad", "possible_translations": [ "Velo", "Rad fahren", "Fahrrad", "colloquial: Drahtesel", "radeln" ] }, "2058": { "input": "homosexuality", "output": "Homosexualität", "possible_translations": [ "Homosexualität" ] }, "2059": { "input": "sympathy", "output": "Sympathie", "possible_translations": [ "Mitleid", "Sympathie", "Mitgefühl" ] }, "2060": { "input": "disagreement", "output": "Streit", "possible_translations": [ "Streit" ] }, "2061": { "input": "fixture", "output": "Fassung", "possible_translations": [ "Fassung" ] }, "2062": { "input": "corpse", "output": "Leiche", "possible_translations": [ "Leiche", "Leichnam" ] }, "2063": { "input": "fare", "output": "Fahrpreis", "possible_translations": [ "reisen", "Passagier", "fahren", "Fahrgast", "Fahrpreis" ] }, "2064": { "input": "bullet", "output": "Kugel", "possible_translations": [ "Aufzählungszeichen", "Kugel" ] }, "2065": { "input": "lighthouse", "output": "Leuchtturm", "possible_translations": [ "Leuchtturm" ] }, "2066": { "input": "joy", "output": "Freude", "possible_translations": [ "Freude" ] }, "2067": { "input": "allegiance", "output": "Treue", "possible_translations": [ "Treue", "Treuherzigkeit", "Loyalität" ] }, "2068": { "input": "wheat", "output": "Weizen", "possible_translations": [ "Weizen" ] }, "2069": { "input": "rehabilitation", "output": "Rehabilitation", "possible_translations": [ "Rehabilitation" ] }, "2070": { "input": "phenomena", "output": "Phänomene", "possible_translations": [ "Phänomene" ] }, "2071": { "input": "slip", "output": "Ausrutscher", "possible_translations": [ "Ausrutscher", "ausrutschen", "irren", "Stück Papier", "Fehler machen", "sich irren", "Unterkleid", "reichen" ] }, "2072": { "input": "decree", "output": "Erlass", "possible_translations": [ "Verordnung", "Erlass", "verfügen", "dekretieren", "bestimmen", "Verfügung", "verordnen", "Dekret" ] }, "2073": { "input": "inheritance", "output": "Erbschaft", "possible_translations": [ "Erbschaft" ] }, "2074": { "input": "employer", "output": "Arbeitgeber", "possible_translations": [ "Arbeitgeber", "Arbeitgeberin" ] }, "2075": { "input": "twist", "output": "Biegung", "possible_translations": [ "Zwirn", "verdrehen", "Biegung", "drehen", "Twist", "wickeln", "Wendung", "verziehen" ] }, "2076": { "input": "repertoire", "output": "Repertoire", "possible_translations": [ "Repertoire" ] }, "2077": { "input": "surveillance", "output": "Überwachung", "possible_translations": [ "Überwachung" ] }, "2078": { "input": "folklore", "output": "Folklore", "possible_translations": [ "Folklore" ] }, "2079": { "input": "athletics", "output": "Athletik", "possible_translations": [ "Athletik" ] }, "2080": { "input": "equation", "output": "Gleichung", "possible_translations": [ "Gleichung" ] }, "2081": { "input": "pen", "output": "Pferch", "possible_translations": [ "einsperren", "Füllhalter", "Schwänin", "Pferch", "niederschreiben", "weiblicher Schwan", "Stift", "verfassen", "Kugelschreiber", "Federhalter", "Schwanenweibchen" ] }, "2082": { "input": "thesis", "output": "These", "possible_translations": [ "These", "Dissertation" ] }, "2083": { "input": "distress", "output": "Kummer", "possible_translations": [ "bedrücken", "Notlage", "Not", "Kummer", "Seenot" ] }, "2084": { "input": "exploit", "output": "Exploit", "possible_translations": [ "Heldentat", "Exploit", "ausnutzen", "ausbeuten" ] }, "2085": { "input": "racism", "output": "Rassismus", "possible_translations": [ "Rassismus" ] }, "2086": { "input": "dialect", "output": "Dialekt", "possible_translations": [ "Mundart", "Dialekt" ] }, "2087": { "input": "anxiety", "output": "Besorgnis", "possible_translations": [ "Besorgnis", "Angst" ] }, "2088": { "input": "sculptor", "output": "Skulpteur", "possible_translations": [ "Bildhauer", "Skulpteur", "Bildhauerin" ] }, "2089": { "input": "confirmation", "output": "Bestätigung", "possible_translations": [ "Bestätigung" ] }, "2090": { "input": "masterpiece", "output": "Meisterstück", "possible_translations": [ "Meisterstück", "Meisterwerk" ] }, "2091": { "input": "commentator", "output": "Kommentator", "possible_translations": [ "Kommentator" ] }, "2092": { "input": "congestion", "output": "Stau", "possible_translations": [ "Stau" ] }, "2093": { "input": "emission", "output": "Ausstoß", "possible_translations": [ "Ausstoß", "Emission" ] }, "2094": { "input": "disappearance", "output": "Verschwinden", "possible_translations": [ "Verschwinden" ] }, "2095": { "input": "barrage", "output": "Sperrfeuer", "possible_translations": [ "Sperrfeuer" ] }, "2096": { "input": "contender", "output": "Gegner", "possible_translations": [ "Mitbewerber", "Rivale", "Konkurent", "Gegner" ] }, "2097": { "input": "toss", "output": "Wurf", "possible_translations": [ "Wurf" ] }, "2098": { "input": "warship", "output": "Kriegsschiff", "possible_translations": [ "Kriegsschiff" ] }, "2099": { "input": "zoo", "output": "Zoo", "possible_translations": [ "Tierpark", "Zoo", "Tiergarten" ] }, "2100": { "input": "laugh", "output": "Lachen", "possible_translations": [ "auslachen", "Lachen", "lachen" ] }, "2101": { "input": "overhaul", "output": "Überholung", "possible_translations": [ "Aufarbeitung", "Revision", "Überholung", "Grundinstandsetzung", "gründliche Überprüfung", "überholen" ] }, "2102": { "input": "fix", "output": "Dilemma", "possible_translations": [ "match-fixing", "reparieren", "befestigen", "anheften", "vorbereiten", "kastrieren", "zubereiten", "Reparatur", "manipulieren", "Ortung", "Dilemma", "Schuss", "fixieren", "flicken", "machen", "sterilisieren", "anhängen" ] }, "2103": { "input": "tenor", "output": "Tenor", "possible_translations": [ "Tenor" ] }, "2104": { "input": "warehouse", "output": "Lager", "possible_translations": [ "lagern", "Lager" ] }, "2105": { "input": "pope", "output": "Papst", "possible_translations": [ "Papst", "Päpstin" ] }, "2106": { "input": "plenty", "output": "Fülle", "possible_translations": [ "Überfluss", "Fülle" ] }, "2107": { "input": "pipeline", "output": "Pipeline", "possible_translations": [ "Rohrleitung", "Pipeline" ] }, "2108": { "input": "butterfly", "output": "Schmetterling", "possible_translations": [ "Summervogl", "Falter", "Schmetterling", "Tagfalter" ] }, "2109": { "input": "meal", "output": "Mehl", "possible_translations": [ "Mahl", "Mehl" ] }, "2110": { "input": "globe", "output": "Globus", "possible_translations": [ "Globus", "Erdkugel", "Erde" ] }, "2111": { "input": "ethanol", "output": "Ethanol", "possible_translations": [ "Äthanol", "Ethanol" ] }, "2112": { "input": "cultivation", "output": "Bildung", "possible_translations": [ "Bodenbearbeitung", "Kultivierung", "Bildung" ] }, "2113": { "input": "balloon", "output": "Ballon", "possible_translations": [ "Heißluftballon", "Ballon", "Luftballon" ] }, "2114": { "input": "dish", "output": "Gericht", "possible_translations": [ "Geschirr", "Gericht", "Schüssel", "Teller", "Parabolantenne", "Satellitenschüssel" ] }, "2115": { "input": "turbine", "output": "Turbine", "possible_translations": [ "Turbine" ] }, "2116": { "input": "chloride", "output": "Chlorid", "possible_translations": [ "Chlorid" ] }, "2117": { "input": "competitor", "output": "Wettbewerbsteilnehmer", "possible_translations": [ "Wettbewerbsteilnehmer", "Konkurrent" ] }, "2118": { "input": "detention", "output": "Haft", "possible_translations": [ "Gewahrsam", "Haft" ] }, "2119": { "input": "preview", "output": "Vorschau", "possible_translations": [ "Vorblick", "Voraufführung", "Vorschau" ] }, "2120": { "input": "cuisine", "output": "Küche", "possible_translations": [ "Küche" ] }, "2121": { "input": "overthrow", "output": "Umsturz", "possible_translations": [ "stürzen", "umstürzen", "Umsturz" ] }, "2122": { "input": "malaria", "output": "Malaria", "possible_translations": [ "Malaria" ] }, "2123": { "input": "excitement", "output": "Aufregung", "possible_translations": [ "Aufregung" ] }, "2124": { "input": "reasoning", "output": "Argumentation", "possible_translations": [ "Argumentation" ] }, "2125": { "input": "grammar", "output": "Grammatik", "possible_translations": [ "Grammatik", "Sprachlehre", "Grammatiktheorie" ] }, "2126": { "input": "kid", "output": "Kind", "possible_translations": [ "an der Nase herumführen", "Kitz", "veräppeln", "verarschen", "Kind" ] }, "2127": { "input": "pub", "output": "Kneipe", "possible_translations": [ "Lokal", "Bar", "Kneipe" ] }, "2128": { "input": "revelation", "output": "Offenbarung", "possible_translations": [ "Enthüllung", "Offenbarung" ] }, "2129": { "input": "fence", "output": "Zaun ; Hag ; Fence ; Fenz", "possible_translations": [ "Mittelsmann", "Zaun ; Hag ; Fence ; Fenz" ] }, "2130": { "input": "asylum", "output": "psychiatrische Anstalt", "possible_translations": [ "psychiatrische Anstalt", "Asyl" ] }, "2131": { "input": "morphology", "output": "Morphologie", "possible_translations": [ "Formenlehre", "Morphologie", "Wortbildung" ] }, "2132": { "input": "logic", "output": "Logik", "possible_translations": [ "Logik" ] }, "2133": { "input": "precedent", "output": "Präzedens", "possible_translations": [ "Präzedens", "Präzedenzfall" ] }, "2134": { "input": "sulfur", "output": "Schwefel", "possible_translations": [ "Schwefel", "Sulfur" ] }, "2135": { "input": "showcase", "output": "Vitrine", "possible_translations": [ "Schaukasten", "Schaufenster", "Vitrine" ] }, "2136": { "input": "pronunciation", "output": "Aussprache", "possible_translations": [ "Aussprache" ] }, "2137": { "input": "mantle", "output": "Mantel", "possible_translations": [ "Mantel", "Hülle", "Erdmantel", "Hirnrinde", "short: Rinde", "Umhüllung", "short: Mantel", "Glühstrumpf" ] }, "2138": { "input": "database", "output": "Datenbank", "possible_translations": [ "Datenbank" ] }, "2139": { "input": "illustration", "output": "Illustration", "possible_translations": [ "Illustration" ] }, "2140": { "input": "administrator", "output": "Nachlassverwalter", "possible_translations": [ "Sachbearbeiter", "Verwaltungsleiter", "Nachlassverwalter", "Verwalter", "Administrator" ] }, "2141": { "input": "ion", "output": "Ion", "possible_translations": [ "Ion" ] }, "2142": { "input": "catalogue", "output": "Katalog", "possible_translations": [ "Liste", "katalogisieren", "Programm", "Katalog", "Verzeichnis" ] }, "2143": { "input": "laser", "output": "Laser", "possible_translations": [ "Laser" ] }, "2144": { "input": "surname", "output": "Nachname", "possible_translations": [ "Familienname", "Nachname" ] }, "2145": { "input": "assumption", "output": "Himmelfahrt", "possible_translations": [ "Auffahrt", "Himmelfahrt" ] }, "2146": { "input": "essence", "output": "Wesen", "possible_translations": [ "Wesen" ] }, "2147": { "input": "hostage", "output": "Geisel", "possible_translations": [ "Geisel" ] }, "2148": { "input": "curtain", "output": "Vorhang", "possible_translations": [ "Gardine", "Vorhang" ] }, "2149": { "input": "plateau", "output": "Hochebene", "possible_translations": [ "Hochebene", "Plateau" ] }, "2150": { "input": "theft", "output": "Diebstahl", "possible_translations": [ "Diebstahl" ] }, "2151": { "input": "clearance", "output": "Ausverkauf", "possible_translations": [ "Ausverkauf" ] }, "2152": { "input": "kilogram", "output": "Kilogramm", "possible_translations": [ "Kilogramm" ] }, "2153": { "input": "belly", "output": "Bauch", "possible_translations": [ "Magen", "Bauch" ] }, "2154": { "input": "robot", "output": "Roboter", "possible_translations": [ "Roboter" ] }, "2155": { "input": "hymn", "output": "Hymne", "possible_translations": [ "Hymne" ] }, "2156": { "input": "cheese", "output": "Käse", "possible_translations": [ "Käse" ] }, "2157": { "input": "atom", "output": "Atom", "possible_translations": [ "Atom" ] }, "2158": { "input": "midfielder", "output": "Mittelfeldspieler", "possible_translations": [ "Mittelfeldspieler" ] }, "2159": { "input": "bike", "output": "Fahrrad", "possible_translations": [ "Rad", "Rad fahren", "Motorrad", "Fahrrad", "Velo Drahtesel", "radeln" ] }, "2160": { "input": "diocese", "output": "Diözese", "possible_translations": [ "Eparchie", "Diözese" ] }, "2161": { "input": "measurement", "output": "Messung", "possible_translations": [ "Maß", "Messung" ] }, "2162": { "input": "sperm", "output": "Spermium", "possible_translations": [ "Spermium", "Sperma", "Samenzelle" ] }, "2163": { "input": "seizure", "output": "Anfall", "possible_translations": [ "Beschlagnahme", "Anfall" ] }, "2164": { "input": "tolerance", "output": "Toleranz", "possible_translations": [ "Toleranz" ] }, "2165": { "input": "excavation", "output": "Grabung", "possible_translations": [ "Ausgrabung", "Ausschachtung", "Grabung", "Aushub" ] }, "2166": { "input": "liberation", "output": "Befreiung", "possible_translations": [ "Befreiung" ] }, "2167": { "input": "inception", "output": "Beginn", "possible_translations": [ "Beginn", "Anfang", "Einführung" ] }, "2168": { "input": "frog", "output": "Frosch", "possible_translations": [ "Frosch" ] }, "2169": { "input": "metaphor", "output": "Metapher", "possible_translations": [ "Metapher" ] }, "2170": { "input": "candidacy", "output": "Kandidatur", "possible_translations": [ "Kandidatur" ] }, "2171": { "input": "gunpowder", "output": "Schießpulver", "possible_translations": [ "Schwarzpulver", "Schießpulver" ] }, "2172": { "input": "equity", "output": "Gerechtigkeit", "possible_translations": [ "Gerechtigkeit", "Unternehmensbeteiligungen", "Reinvermögen", "Aktienkapital", "Eigenkapital", "Billigkeit", "Fairness", "Aktien", "Aktienanteil", "Billigkeitsrecht", "Gleichheit" ] }, "2173": { "input": "index", "output": "Index", "possible_translations": [ "Index", "indizieren", "Verzeichnis" ] }, "2174": { "input": "drift", "output": "Drift", "possible_translations": [ "treiben", "abdriften nach", "irren", "sich zu einer Verwehung anhäufen", "zu Haufen zusammengeweht werden", "ziellos wandern", "driften", "Verwehungen bilden", "zu einen Haufen zusammenwehen", "ziellos ziehen", "Drift", "ziehen nach" ] }, "2175": { "input": "precision", "output": "Präzision", "possible_translations": [ "Präzision", "Genauigkeit" ] }, "2176": { "input": "epithet", "output": "Beiwort", "possible_translations": [ "Beiwort", "Epitheton" ] }, "2177": { "input": "dirt", "output": "Schmutz", "possible_translations": [ "Schmutz", "Dreck", "Fleck", "Erde" ] }, "2178": { "input": "vacuum", "output": "Vakuum", "possible_translations": [ "staubsaugen", "Vakuum" ] }, "2179": { "input": "affection", "output": "Zuneigung", "possible_translations": [ "Rührung", "Zuneigung" ] }, "2180": { "input": "suffrage", "output": "Stimmrecht", "possible_translations": [ "Wahlrecht", "Stimmrecht" ] }, "2181": { "input": "lineage", "output": "Geschlecht", "possible_translations": [ "Geschlecht" ] }, "2182": { "input": "probability", "output": "Wahrscheinlichkeit", "possible_translations": [ "Wahrscheinlichkeit" ] }, "2183": { "input": "maker", "output": "Macher", "possible_translations": [ "Fabrikant", "Macher", "Hersteller" ] }, "2184": { "input": "fauna", "output": "Fauna", "possible_translations": [ "Fauna", "Tierreich", "Tierwelt" ] }, "2185": { "input": "piercing", "output": "Piercing", "possible_translations": [ "Piercing" ] }, "2186": { "input": "smell", "output": "Geruch", "possible_translations": [ "Geruch", "stinken", "Riechen", "Geruchssinn", "riechen" ] }, "2187": { "input": "pig", "output": "Schwein", "possible_translations": [ "Bulle", "Schwein", "Hausschwein" ] }, "2188": { "input": "instability", "output": "Instabilität", "possible_translations": [ "Instabilität" ] }, "2189": { "input": "trauma", "output": "Trauma", "possible_translations": [ "Trauma" ] }, "2190": { "input": "trainer", "output": "Trainer", "possible_translations": [ "Trainer" ] }, "2191": { "input": "flashback", "output": "Flashback", "possible_translations": [ "Rückblende", "Flashback" ] }, "2192": { "input": "luck", "output": "Glück", "possible_translations": [ "Glück" ] }, "2193": { "input": "gesture", "output": "Geste", "possible_translations": [ "Geste", "Gebärde", "gestikulieren", "Attitüde" ] }, "2194": { "input": "duel", "output": "Duell", "possible_translations": [ "Zweikampf", "Duell", "duellieren" ] }, "2195": { "input": "clash", "output": "Clash", "possible_translations": [ "Auseinandersetzung", "Clash", "Zusammenstoß" ] }, "2196": { "input": "necessity", "output": "Notwendigkeit", "possible_translations": [ "Nezessität", "Notwendigkeit" ] }, "2197": { "input": "naturalist", "output": "Naturalist", "possible_translations": [ "Naturforscher", "Naturalistin", "Naturforscherin", "Naturalist" ] }, "2198": { "input": "quote", "output": "Zitat", "possible_translations": [ "bemerken", "Zitat", "anbieten", "Preisangebot machen", "berücksichtigen", "zitieren" ] }, "2199": { "input": "delegate", "output": "Delegierter", "possible_translations": [ "Vertreter", "Delegierter", "Abgeordneter" ] }, "2200": { "input": "innocence", "output": "Unschuld", "possible_translations": [ "Unschuld" ] }, "2201": { "input": "mascot", "output": "Glücksbringer", "possible_translations": [ "Talisman", "Maskotte", "Maskottchen", "Glücksbringer" ] }, "2202": { "input": "motivation", "output": "Motivation", "possible_translations": [ "Motivation" ] }, "2203": { "input": "thunderstorm", "output": "Gewitter", "possible_translations": [ "Gewitter" ] }, "2204": { "input": "exploitation", "output": "Ausbeutung", "possible_translations": [ "Ausbeutung" ] }, "2205": { "input": "crust", "output": "Kruste", "possible_translations": [ "Kruste" ] }, "2206": { "input": "dimension", "output": "Dimension", "possible_translations": [ "dimensionieren", "Dimension" ] }, "2207": { "input": "severity", "output": "Härte", "possible_translations": [ "Gewichtung", "Härte", "Stärke" ] }, "2208": { "input": "apology", "output": "Entschuldigung", "possible_translations": [ "Entschuldigung", "Apologie" ] }, "2209": { "input": "footballer", "output": "Fußballer", "possible_translations": [ "Fußballer", "Fußballspielerin", "Fußballerin", "Fußballspieler" ] }, "2210": { "input": "parachute", "output": "Fallschirm", "possible_translations": [ "Fallschirm", "mit dem Fallschirm abspringen" ] }, "2211": { "input": "absorption", "output": "Absorption", "possible_translations": [ "Vertiefung", "Absorption" ] }, "2212": { "input": "motto", "output": "Motto", "possible_translations": [ "Wahlspruch", "Motto" ] }, "2213": { "input": "mutiny", "output": "Meuterei", "possible_translations": [ "Meuterei" ] }, "2214": { "input": "trigger", "output": "Abzug", "possible_translations": [ "auslösen", "Abzug", "Auslöser" ] }, "2215": { "input": "vacation", "output": "Ferien", "possible_translations": [ "Urlaub", "Annullierung", "Preisgabe", "Urlaub machen", "Ferien", "Ferien machen" ] }, "2216": { "input": "contention", "output": "Streit", "possible_translations": [ "Streit" ] }, "2217": { "input": "spelling", "output": "Orthografie", "possible_translations": [ "Orthographie ; Rechtschreibung", "Orthografie" ] }, "2218": { "input": "skating", "output": "Schlittschuhlaufen", "possible_translations": [ "Eislaufen", "Skaten", "Schlittschuhlaufen" ] }, "2219": { "input": "tract", "output": "Traktat", "possible_translations": [ "Trakt", "Traktat", "Gebiet" ] }, "2220": { "input": "organism", "output": "Organismus", "possible_translations": [ "Organismus" ] }, "2221": { "input": "astronomy", "output": "Astronomie", "possible_translations": [ "Astronomie", "Sternkunde" ] }, "2222": { "input": "soprano", "output": "Sopran", "possible_translations": [ "Sopran" ] }, "2223": { "input": "geometry", "output": "Geometrie", "possible_translations": [ "Geometrie", "Raumlehre" ] }, "2224": { "input": "glee", "output": "Rundgesang", "possible_translations": [ "Rundgesang", "Freude", "Fröhlichkeit" ] }, "2225": { "input": "insistence", "output": "Beharrlichkeit", "possible_translations": [ "Insistenz", "Dringlichkeit", "Eindringlichkeit", "Beharrlichkeit" ] }, "2226": { "input": "collaborator", "output": "Kollaborateur", "possible_translations": [ "Kollaborateur", "Kollaborateurin" ] }, "2227": { "input": "procession", "output": "Prozession", "possible_translations": [ "Umzug", "Prozession" ] }, "2228": { "input": "motorcycle", "output": "Motorrad", "possible_translations": [ "Motorrad" ] }, "2229": { "input": "resonance", "output": "Mesomerie", "possible_translations": [ "Mesomerie" ] }, "2230": { "input": "astronomer", "output": "Astronom", "possible_translations": [ "Astronom", "Astronomin" ] }, "2231": { "input": "noon", "output": "Mittag", "possible_translations": [ "Mittag" ] }, "2232": { "input": "draught", "output": "Zug", "possible_translations": [ "Schluck", "Tiefgang", "Zugluft", "Luftzug", "Zug", "Durchzug" ] }, "2233": { "input": "physicist", "output": "Physiker", "possible_translations": [ "Physiker", "Physikerin" ] }, "2234": { "input": "filmmaker", "output": "Filmemacher", "possible_translations": [ "Filmemacher" ] }, "2235": { "input": "baptism", "output": "Taufe", "possible_translations": [ "Taufe" ] }, "2236": { "input": "crater", "output": "Krater", "possible_translations": [ "Krater" ] }, "2237": { "input": "grief", "output": "Kummer", "possible_translations": [ "Kummer" ] }, "2238": { "input": "admiration", "output": "Bewunderung", "possible_translations": [ "Bewunderung" ] }, "2239": { "input": "simplicity", "output": "Einfachheit", "possible_translations": [ "Einfachheit" ] }, "2240": { "input": "retaliation", "output": "Vergeltung", "possible_translations": [ "Vergeltung" ] }, "2241": { "input": "symphony", "output": "Sinfonie", "possible_translations": [ "Symphonie", "Sinfonie" ] }, "2242": { "input": "hierarchy", "output": "Hierarchie", "possible_translations": [ "Hierarchie", "Rangordnung" ] }, "2243": { "input": "screenwriter", "output": "Drehbuchautor", "possible_translations": [ "Drehbuchautorin", "Drehbuchautor" ] }, "2244": { "input": "flame", "output": "Flamme", "possible_translations": [ "anmachen", "Flamme", "Lohe" ] }, "2245": { "input": "monkey", "output": "Affe", "possible_translations": [ "Affe" ] }, "2246": { "input": "dose", "output": "Dosis", "possible_translations": [ "Dosis" ] }, "2247": { "input": "voltage", "output": "Spannung", "possible_translations": [ "Spannung" ] }, "2248": { "input": "cry", "output": "Schrei", "possible_translations": [ "Schrei", "schluchzen", "schreien", "weinen", "Weinen" ] }, "2249": { "input": "terror", "output": "Schrecken", "possible_translations": [ "Schrecken", "Terror" ] }, "2250": { "input": "institute", "output": "Institut", "possible_translations": [ "instituieren", "einführen", "initiieren", "Institut" ] }, "2251": { "input": "cottage", "output": "Cottage", "possible_translations": [ "Kotten", "Cottage", "Häuschen" ] }, "2252": { "input": "equilibrium", "output": "Gleichgewicht", "possible_translations": [ "Ausgeglichenheit", "Balance", "Gleichgewicht" ] }, "2253": { "input": "theorem", "output": "Theorem", "possible_translations": [ "Theorem", "Satz" ] }, "2254": { "input": "sanctuary", "output": "Zuflucht", "possible_translations": [ "Herberge", "Zuflucht", "Asyl" ] }, "2255": { "input": "flotilla", "output": "Flottille", "possible_translations": [ "Flottille" ] }, "2256": { "input": "sin", "output": "Sünde", "possible_translations": [ "Sünde", "sündigen" ] }, "2257": { "input": "airplane", "output": "Flugzeug", "possible_translations": [ "Flugzeug" ] }, "2258": { "input": "sparrow", "output": "Sperling", "possible_translations": [ "Haussperling", "Spatz", "Sperling" ] }, "2259": { "input": "coordinator", "output": "Koordinator", "possible_translations": [ "Koordinator", "Koordinatorin" ] }, "2260": { "input": "expressway", "output": "Autobahn", "possible_translations": [ "Autobahn" ] }, "2261": { "input": "pupil", "output": "Schüler", "possible_translations": [ "Schulkind", "Sehloch", "Pupille", "Schüler", "Schülerin" ] }, "2262": { "input": "wheelchair", "output": "Rollstuhl", "possible_translations": [ "Rollstuhl" ] }, "2263": { "input": "enterprise", "output": "Unternehmen", "possible_translations": [ "Unternehmungslust", "Unternehmen", "Unternehmungsgeist", "Unterfangen" ] }, "2264": { "input": "memoir", "output": "Memoiren", "possible_translations": [ "Memoiren" ] }, "2265": { "input": "projection", "output": "Projektion", "possible_translations": [ "Vorhersage", "Projektion", "Vorsprung", "Prognose" ] }, "2266": { "input": "blade", "output": "Klinge", "possible_translations": [ "Klinge", "Blatt" ] }, "2267": { "input": "microphone", "output": "Mikrofon", "possible_translations": [ "Mikrofon" ] }, "2268": { "input": "recruitment", "output": "Rekrutierung", "possible_translations": [ "Rekrutierung" ] }, "2269": { "input": "synthesizer", "output": "Synthesizer", "possible_translations": [ "Synthesizer" ] }, "2270": { "input": "stamp", "output": "Stempel", "possible_translations": [ "stempeln", "Stempel", "freimachen" ] }, "2271": { "input": "pseudonym", "output": "Pseudonym", "possible_translations": [ "Pseudonym" ] }, "2272": { "input": "cycling", "output": "radfahren", "possible_translations": [ "radfahren" ] }, "2273": { "input": "fundraising", "output": "Fundraising", "possible_translations": [ "Fundraising", "Mittelakquisition", "Mittelbeschaffung" ] }, "2274": { "input": "probe", "output": "Sonde", "possible_translations": [ "Sonde" ] }, "2275": { "input": "glory", "output": "Ruhm", "possible_translations": [ "Ruhm" ] }, "2276": { "input": "fission", "output": "Zellteilung", "possible_translations": [ "spalten", "Kernspaltung", "Zellteilung", "Spaltung" ] }, "2277": { "input": "descendant", "output": "Abkömmling", "possible_translations": [ "Abkömmling", "Nachkomme" ] }, "2278": { "input": "leak", "output": "Leck", "possible_translations": [ "leaken", "undichte Stelle", "Leck", "durchsickern" ] }, "2279": { "input": "cavity", "output": "Hohlraum", "possible_translations": [ "Karies", "Loch", "Aushöhlung", "Höhle", "Gravur", "Hohlraum" ] }, "2280": { "input": "catcher", "output": "Catcher", "possible_translations": [ "Catcher", "Fänger" ] }, "2281": { "input": "explorer", "output": "Entdecker", "possible_translations": [ "Entdecker", "Forscherin", "Forscher" ] }, "2282": { "input": "leisure", "output": "Muße", "possible_translations": [ "Muße", "Freizeit" ] }, "2283": { "input": "happiness", "output": "Glück", "possible_translations": [ "Glück", "Glücklichkeit", "Fröhlichkeit" ] }, "2284": { "input": "deposit", "output": "Anzahlung", "possible_translations": [ "Kaution", "einzahlen", "Pfand", "Anzahlung" ] }, "2285": { "input": "revision", "output": "Wiederholung", "possible_translations": [ "Wiederholung", "Überarbeitung" ] }, "2286": { "input": "salmon", "output": "lachsfarben", "possible_translations": [ "lachsfarben", "lachsrot", "Lachs", "lachsfarbig", "lachsrosa" ] }, "2287": { "input": "marijuana", "output": "Marihuana", "possible_translations": [ "Marihuana" ] }, "2288": { "input": "deception", "output": "Täuschung", "possible_translations": [ "Täuschung", "Betrug" ] }, "2289": { "input": "millennium", "output": "Jahrtausend", "possible_translations": [ "Jahrtausend", "Millennium" ] }, "2290": { "input": "collar", "output": "Ring", "possible_translations": [ "Halskette", "Ring", "Halsband", "Kragen" ] }, "2291": { "input": "canopy", "output": "Baldachin", "possible_translations": [ "Baumkronendach", "Baldachin", "Kronendach", "Laubfläche" ] }, "2292": { "input": "willingness", "output": "Willigkeit", "possible_translations": [ "Bereitschaft", "Willigkeit" ] }, "2293": { "input": "sleeve", "output": "Ärmel", "possible_translations": [ "Ärmel" ] }, "2294": { "input": "dealer", "output": "Händler", "possible_translations": [ "Dealer", "Ticker", "Geber", "Händler", "Drogenhändler" ] }, "2295": { "input": "geology", "output": "Geologie", "possible_translations": [ "Geologie" ] }, "2296": { "input": "anatomy", "output": "Anatomie", "possible_translations": [ "Anatomie" ] }, "2297": { "input": "lip", "output": "Lippe", "possible_translations": [ "Lippe", "Unverschämtheit", "Lefze", "Rand" ] }, "2298": { "input": "emblem", "output": "Emblem", "possible_translations": [ "Emblem" ] }, "2299": { "input": "pneumonia", "output": "Lungenentzündung ; Pneumonie", "possible_translations": [ "Lungenentzündung ; Pneumonie" ] }, "2300": { "input": "predation", "output": "Raub", "possible_translations": [ "Jagd", "Raub" ] }, "2301": { "input": "portal", "output": "Portal", "possible_translations": [ "Portal" ] }, "2302": { "input": "immunity", "output": "Immunität", "possible_translations": [ "Immunität" ] }, "2303": { "input": "glider", "output": "Segelflugzeug", "possible_translations": [ "Segelflugzeug" ] }, "2304": { "input": "tactic", "output": "Taktik", "possible_translations": [ "Taktik" ] }, "2305": { "input": "impedance", "output": "Impedanz", "possible_translations": [ "Impedanz" ] }, "2306": { "input": "prequel", "output": "Prequel", "possible_translations": [ "Prequel" ] }, "2307": { "input": "fabric", "output": "Bau", "possible_translations": [ "Rohbau", "Bau", "Stoff", "Textil", "Gewebe", "Struktur", "Fasern" ] }, "2308": { "input": "disruption", "output": "Durcheinander", "possible_translations": [ "Störung", "Unordnung", "Durcheinander", "Unterbrechung", "Störfaktor" ] }, "2309": { "input": "synagogue", "output": "Synagoge", "possible_translations": [ "Synagoge" ] }, "2310": { "input": "import", "output": "Import", "possible_translations": [ "Importgut", "Import", "einführen", "Einfuhr", "Importware", "importieren" ] }, "2311": { "input": "influenza", "output": "Grippe", "possible_translations": [ "Influenza", "Grippe" ] }, "2312": { "input": "pavilion", "output": "Pavillon", "possible_translations": [ "Pavillon" ] }, "2313": { "input": "concession", "output": "Gewerbeerlaubnis", "possible_translations": [ "Eingeständnis", "Einräumen", "gewährtes Grundstück", "Gewerbeerlaubnis", "Zugeständnis" ] }, "2314": { "input": "smallpox", "output": "Pocken", "possible_translations": [ "Pocken", "Blattern" ] }, "2315": { "input": "pottery", "output": "Töpferei", "possible_translations": [ "Töpferei", "Töpferware" ] }, "2316": { "input": "trumpet", "output": "Trompete", "possible_translations": [ "Trompete" ] }, "2317": { "input": "surf", "output": "Brandung", "possible_translations": [ "Brandung", "wellenreiten", "surfen" ] }, "2318": { "input": "mandate", "output": "Mandat", "possible_translations": [ "Mandat" ] }, "2319": { "input": "beef", "output": "Rindfleisch", "possible_translations": [ "Rindfleisch", "Ochsenfleisch" ] }, "2320": { "input": "mistress", "output": "Domina", "possible_translations": [ "Meisterin", "Domina", "Liebhaberin", "Frau", "Mätresse" ] }, "2321": { "input": "breakfast", "output": "Frühstück", "possible_translations": [ "Zmorge", "Morgenessen", "frühstücken", "Frühstück" ] }, "2322": { "input": "taxation", "output": "Besteuerung", "possible_translations": [ "Besteuerung" ] }, "2323": { "input": "geography", "output": "Geografie", "possible_translations": [ "Erdkunde", "Geographie", "Geografie" ] }, "2324": { "input": "spine", "output": "Rückgrat", "possible_translations": [ "Stachel", "Rücken", "Dorn", "Wirbelsäule", "Rückgrat" ] }, "2325": { "input": "flu", "output": "Grippe", "possible_translations": [ "Grippe" ] }, "2326": { "input": "inauguration", "output": "Inauguration", "possible_translations": [ "Inauguration" ] }, "2327": { "input": "abolition", "output": "Abschaffung des Sklavenhandels", "possible_translations": [ "Abschaffung des Sklavenhandels", "Aufhebung", "Abschaffung" ] }, "2328": { "input": "hostility", "output": "Feindseligkeit", "possible_translations": [ "Feindseligkeit" ] }, "2329": { "input": "influx", "output": "Zufluss", "possible_translations": [ "Einfluss", "Zufluss" ] }, "2330": { "input": "packaging", "output": "Packen", "possible_translations": [ "", "Verpackung", "Packen", "Verpackungsindustrie" ] }, "2331": { "input": "millimetre", "output": "Millimeter", "possible_translations": [ "Millimeter" ] }, "2332": { "input": "hind", "output": "Hinde", "possible_translations": [ "Hinde", "Hirschkuh", "weiblicher Hirsch" ] }, "2333": { "input": "subway", "output": "U-Bahn", "possible_translations": [ "Untergrundbahn", "Metro", "U-Bahn" ] }, "2334": { "input": "endorsement", "output": "Beführwortung", "possible_translations": [ "Beführwortung" ] }, "2335": { "input": "aristocracy", "output": "Aristokratie", "possible_translations": [ "Aristokratie" ] }, "2336": { "input": "disability", "output": "Behinderung", "possible_translations": [ "Behinderung" ] }, "2337": { "input": "prohibition", "output": "Verbot", "possible_translations": [ "Verbot" ] }, "2338": { "input": "feast", "output": "Festmahl", "possible_translations": [ "Festmahl" ] }, "2339": { "input": "shower", "output": "Schauer", "possible_translations": [ "überschütten mit", "Dusche", "besprühen", "duschen", "einsprühen", "Brause", "Schauer" ] }, "2340": { "input": "symmetry", "output": "Symmetrie", "possible_translations": [ "Symmetrie" ] }, "2341": { "input": "pirate", "output": "Pirat", "possible_translations": [ "Raubkopierer", "Korsar", "Seeräuber", "Pirat" ] }, "2342": { "input": "confession", "output": "Beichte", "possible_translations": [ "Bekenntnis", "Eingeständnis", "Geständnis", "Beichte" ] }, "2343": { "input": "nationalism", "output": "Nationalismus", "possible_translations": [ "Nationalismus" ] }, "2344": { "input": "module", "output": "Modul", "possible_translations": [ "Modul" ] }, "2345": { "input": "neutrality", "output": "Neutralität", "possible_translations": [ "Neutralität" ] }, "2346": { "input": "wisdom", "output": "Weisheit", "possible_translations": [ "Weisheit" ] }, "2347": { "input": "communism", "output": "Kommunismus", "possible_translations": [ "Kommunismus" ] }, "2348": { "input": "mast", "output": "Mast", "possible_translations": [ "Mast" ] }, "2349": { "input": "desk", "output": "Schreibtisch", "possible_translations": [ "Schreibtisch" ] }, "2350": { "input": "homeland", "output": "Heimat", "possible_translations": [ "Heimat", "Heimatland" ] }, "2351": { "input": "undertaking", "output": "Unternehmen", "possible_translations": [ "Unternehmen" ] }, "2352": { "input": "robbery", "output": "Raub", "possible_translations": [ "Raub" ] }, "2353": { "input": "survivor", "output": "Überlebender", "possible_translations": [ "Überlebender", "Überlebende" ] }, "2354": { "input": "takeover", "output": "Geschäftsübernahme", "possible_translations": [ "Geschäftsübernahme", "Übernahme" ] }, "2355": { "input": "casino", "output": "Kasino", "possible_translations": [ "Spielbank", "Kasino" ] }, "2356": { "input": "pulp", "output": "Fruchtfleisch", "possible_translations": [ "Pulpa", "Fleisch", "Fruchtfleisch" ] }, "2357": { "input": "chronicle", "output": "Chronik", "possible_translations": [ "Chronik" ] }, "2358": { "input": "researcher", "output": "Forscher", "possible_translations": [ "Forscher" ] }, "2359": { "input": "timeslot", "output": "Zeitschlitz", "possible_translations": [ "Zeitschlitz" ] }, "2360": { "input": "niece", "output": "Nichte", "possible_translations": [ "Nichte" ] }, "2361": { "input": "ecosystem", "output": "Ökosystem", "possible_translations": [ "Ökosystem" ] }, "2362": { "input": "incarnation", "output": "Inkarnation", "possible_translations": [ "Inkarnation", "Verkörperung", "Inbegriff" ] }, "2363": { "input": "plague", "output": "Plage", "possible_translations": [ "Plage", "Pest" ] }, "2364": { "input": "hemisphere", "output": "Halbkugel", "possible_translations": [ "Halbkugel", "Hemisphäre" ] }, "2365": { "input": "cadet", "output": "Kadett", "possible_translations": [ "Kadett" ] }, "2366": { "input": "inventory", "output": "Inventar", "possible_translations": [ "Inventar", "Lager", "Inventur" ] }, "2367": { "input": "donation", "output": "Abgabe", "possible_translations": [ "Abgabe", "Spende" ] }, "2368": { "input": "calibre", "output": "Kaliber", "possible_translations": [ "Bohrung", "Format", "Durchmesser", "Wert", "Kaliber" ] }, "2369": { "input": "relocation", "output": "Umzug", "possible_translations": [ "Umzug" ] }, "2370": { "input": "journalism", "output": "Journalismus", "possible_translations": [ "Journalismus", "Journalistik" ] }, "2371": { "input": "aluminium", "output": "Aluminium", "possible_translations": [ "Aluminium" ] }, "2372": { "input": "curse", "output": "Fluch", "possible_translations": [ "Verwünschung", "Periode", "Tage", "Verdammnis", "fluchen", "Menstruation", "Fluch" ] }, "2373": { "input": "annexation", "output": "Annexion", "possible_translations": [ "Anschluss", "Annexion" ] }, "2374": { "input": "canvas", "output": "Leinwand", "possible_translations": [ "Leinwand", "Leinen" ] }, "2375": { "input": "crush", "output": "Schwarm", "possible_translations": [ "Schwarm" ] }, "2376": { "input": "offset", "output": "Adressabstand", "possible_translations": [ "Offset", "Adressabstand", "Offsetdruck" ] }, "2377": { "input": "reliance", "output": "Vertrauende", "possible_translations": [ "Abhängigkeit", "Vertrauen", "Abhängige", "Vertrauende", "Verlass" ] }, "2378": { "input": "interval", "output": "Intervall", "possible_translations": [ "Intervall", "Abstand", "Zwischenraum" ] }, "2379": { "input": "breath", "output": "Atmen", "possible_translations": [ "Atemzug", "Atmen", "Atem", "Atmung", "Atempause" ] }, "2380": { "input": "cane", "output": "Rohr", "possible_translations": [ "Rohr", "Blindenstock", "Rohrstock", "weisser Langstock" ] }, "2381": { "input": "crack", "output": "Knall", "possible_translations": [ "Krachen", "einreißen", "Riss", "Ritze", "Sprung", "Knall", "knallen", "Knacks", "bersten", "Spalte" ] }, "2382": { "input": "sediment", "output": "Sediment", "possible_translations": [ "Sediment", "Satz" ] }, "2383": { "input": "pension", "output": "Pension", "possible_translations": [ "Rente", "pensionieren", "Pension", "in den Ruhestand versetzen" ] }, "2384": { "input": "textile", "output": "Textilie", "possible_translations": [ "Textilie" ] }, "2385": { "input": "bathroom", "output": "Badezimmer", "possible_translations": [ "Klosett", "Bad", "WC", "Toilette", "Badezimmer", "Klo" ] }, "2386": { "input": "drain", "output": "Abfluss", "possible_translations": [ "Abfluss" ] }, "2387": { "input": "nightclub", "output": "Nachtklub", "possible_translations": [ "Nachtklub" ] }, "2388": { "input": "rage", "output": "Wut", "possible_translations": [ "Wut", "Zorn", "Raserei", "toben", "rasen", "wüten", "Rage" ] }, "2389": { "input": "disguise", "output": "Verkleidung", "possible_translations": [ "verstellen", "Tarnung", "Verkleidung" ] }, "2390": { "input": "stiff", "output": "Steifer", "possible_translations": [ "starr", "steif", "prellen", "Steifer", "Zechpreller" ] }, "2391": { "input": "renewal", "output": "Erneuerung", "possible_translations": [ "Erneuerung" ] }, "2392": { "input": "distributor", "output": "Verteiler", "possible_translations": [ "Verteiler" ] }, "2393": { "input": "workshop", "output": "Workshop", "possible_translations": [ "Werkstatt", "Workshop" ] }, "2394": { "input": "vault", "output": "Gewölbe", "possible_translations": [ "Gruft", "Gewölbe", "Tresor" ] }, "2395": { "input": "tuberculosis", "output": "Tuberkulose", "possible_translations": [ "Tuberkulose" ] }, "2396": { "input": "timeline", "output": "Zeittafel", "possible_translations": [ "Zeittafel" ] }, "2397": { "input": "cow", "output": "Kuh", "possible_translations": [ "Kuh", "Rind" ] }, "2398": { "input": "breakup", "output": "Trennung", "possible_translations": [ "Trennung" ] }, "2399": { "input": "enclosure", "output": "Beilegen", "possible_translations": [ "Anlage", "Beilage", "Einzäunen", "Einschließen", "Einschließung", "eingefriedetes Grundstück", "Beilegen", "Gehege" ] }, "2400": { "input": "milestone", "output": "Meilenstein", "possible_translations": [ "Meilenstein", "Postmeilensäule", "Kilometerstein" ] }, "2401": { "input": "graph", "output": "Graph", "possible_translations": [ "Graph", "Funktionsgraph" ] }, "2402": { "input": "scrutiny", "output": "genaue Untersuchung", "possible_translations": [ "prüfender od. forschender Blick", "genaue Untersuchung" ] }, "2403": { "input": "bust", "output": "Büste", "possible_translations": [ "Büste", "einlochen" ] }, "2404": { "input": "shuttle", "output": "Pendelverkehr", "possible_translations": [ "Pendelverkehr", "Shuttlebus" ] }, "2405": { "input": "illusion", "output": "Illusion", "possible_translations": [ "Illusion", "Wahnvorstellung", "Sinnestäuschung" ] }, "2406": { "input": "privilege", "output": "Privileg", "possible_translations": [ "privilegieren", "Privileg" ] }, "2407": { "input": "bend", "output": "Kurve", "possible_translations": [ "biegen", "Schrägbalken", "durchbiegen", "Kurve", "beugen" ] }, "2408": { "input": "circus", "output": "Zirkus", "possible_translations": [ "Zirkus" ] }, "2409": { "input": "doll", "output": "Puppe", "possible_translations": [ "Puppe" ] }, "2410": { "input": "beak", "output": "Schnabel", "possible_translations": [ "Schnabel" ] }, "2411": { "input": "lumber", "output": "Bauholz", "possible_translations": [ "Bauholz" ] }, "2412": { "input": "monopoly", "output": "Monopol", "possible_translations": [ "Monopol" ] }, "2413": { "input": "lacrosse", "output": "Lacrosse", "possible_translations": [ "Lacrosse" ] }, "2414": { "input": "snout", "output": "Schnauze", "possible_translations": [ "Hundeschnauze", "Schweinerüssel", "Rüssel", "Schnauze" ] }, "2415": { "input": "populace", "output": "gemeine Volk", "possible_translations": [ "gemeine Volk", "Pöbel", "breite Masse" ] }, "2416": { "input": "trait", "output": "Eigenschaft", "possible_translations": [ "Eigenschaft" ] }, "2417": { "input": "dislike", "output": "Unbehagen", "possible_translations": [ "Unbehagen", "ablehnen" ] }, "2418": { "input": "porch", "output": "Vorbau", "possible_translations": [ "Veranda", "Vorbau", "Vordach" ] }, "2419": { "input": "cement", "output": "Zement", "possible_translations": [ "zementieren", "Zement" ] }, "2420": { "input": "terrorism", "output": "Terrorismus", "possible_translations": [ "Terrorismus" ] }, "2421": { "input": "wilderness", "output": "Wildnis", "possible_translations": [ "Wildnis" ] }, "2422": { "input": "playwright", "output": "Bühnenautor", "possible_translations": [ "Bühnenautor", "Dramatikerin", "Bühnenautorin", "Dramatiker" ] }, "2423": { "input": "irrigation", "output": "Bewässerung", "possible_translations": [ "Irrigation", "Bewässerung" ] }, "2424": { "input": "turmoil", "output": "Aufruhr", "possible_translations": [ "Unruhe", "Aufruhr", "Tumult", "Unordnung" ] }, "2425": { "input": "chocolate", "output": "chocolat", "possible_translations": [ "schokoladenbraun", "chocolat", "Praline", "Schokolade", "schokoladenfarben" ] }, "2426": { "input": "equator", "output": "Äquator", "possible_translations": [ "Äquator" ] }, "2427": { "input": "reconciliation", "output": "Abgleich", "possible_translations": [ "Abgleich", "Versöhnung", "Aussöhnung" ] }, "2428": { "input": "plea", "output": "Plädoyer", "possible_translations": [ "Bitte", "Entschuldigung", "Plädoyer", "Verteidigung", "Ersuchen", "Appell", "Flehen" ] }, "2429": { "input": "weaponry", "output": "Waffen", "possible_translations": [ "Bewaffnung", "Waffen" ] }, "2430": { "input": "friction", "output": "Reibung", "possible_translations": [ "Reibung", "Friktion", "Reiberei" ] }, "2431": { "input": "dignity", "output": "Würde", "possible_translations": [ "Würde" ] }, "2432": { "input": "advocacy", "output": "Fürsprache", "possible_translations": [ "Befürwortung", "Fürsprache" ] }, "2433": { "input": "activism", "output": "Aktivismus", "possible_translations": [ "Aktivismus" ] }, "2434": { "input": "diplomat", "output": "Diplomat", "possible_translations": [ "Diplomat", "Diplomatin" ] }, "2435": { "input": "punch", "output": "Punsch", "possible_translations": [ "Lochzange", "Locher", "Punsch", "Bowle", "Lochung", "Faustschlag", "Schwung", "lochen", "abstempeln", "mit der Faust schlagen" ] }, "2436": { "input": "fraction", "output": "Bruch", "possible_translations": [ "Bruch", "Bruchteil" ] }, "2437": { "input": "prediction", "output": "Voraussage", "possible_translations": [ "Vorhersage", "Voraussage", "Prophezeiung" ] }, "2438": { "input": "dictator", "output": "Diktator", "possible_translations": [ "Diktator" ] }, "2439": { "input": "fragment", "output": "Satzfragment", "possible_translations": [ "fragmentieren", "Fragment", "Bruchstück", "Satzfragment" ] }, "2440": { "input": "boycott", "output": "Boykott", "possible_translations": [ "boykottieren", "Boykott" ] }, "2441": { "input": "ambulance", "output": "Rettungswagen", "possible_translations": [ "Rettungswagen", "Krankenwagen" ] }, "2442": { "input": "encouragement", "output": "Ermutigung", "possible_translations": [ "Ermutigung" ] }, "2443": { "input": "critique", "output": "Kritik", "possible_translations": [ "Kritik" ] }, "2444": { "input": "peat", "output": "Torf", "possible_translations": [ "Torf" ] }, "2445": { "input": "satisfaction", "output": "Befriedigung", "possible_translations": [ "Befriedigung" ] }, "2446": { "input": "lithium", "output": "Lithium", "possible_translations": [ "Lithium" ] }, "2447": { "input": "sensation", "output": "Gefühl", "possible_translations": [ "Sensation", "Gefühl" ] }, "2448": { "input": "scenery", "output": "Kulisse", "possible_translations": [ "Landschaft", "Kulisse" ] }, "2449": { "input": "courthouse", "output": "Gerichtsgebäude", "possible_translations": [ "Gerichtsgebäude" ] }, "2450": { "input": "bride", "output": "Braut", "possible_translations": [ "Braut" ] }, "2451": { "input": "medication", "output": "Medikation", "possible_translations": [ "Medikation" ] }, "2452": { "input": "archaeology", "output": "Archäologie", "possible_translations": [ "Archäologie" ] }, "2453": { "input": "likelihood", "output": "Wahrscheinlichkeit", "possible_translations": [ "Wahrscheinlichkeit" ] }, "2454": { "input": "vaccine", "output": "Impfstoff", "possible_translations": [ "Vakzine", "Impfstoff" ] }, "2455": { "input": "telegraph", "output": "Telegraf", "possible_translations": [ "Telegraf" ] }, "2456": { "input": "contractor", "output": "Ausführer", "possible_translations": [ "Bauausführer", "Ausführer" ] }, "2457": { "input": "taxi", "output": "Taxi", "possible_translations": [ "rollen", "Taxi", "Taxe" ] }, "2458": { "input": "connector", "output": "Verbinder", "possible_translations": [ "Steckverbinder", "Verbinder", "Verbindungsstecker" ] }, "2459": { "input": "mess", "output": "Durcheinander", "possible_translations": [ "Durcheinander", "Messe" ] }, "2460": { "input": "grip", "output": "Griff", "possible_translations": [ "festhalten", "Griff", "greifen" ] }, "2461": { "input": "headline", "output": "Schlagzeile", "possible_translations": [ "Schlagzeile" ] }, "2462": { "input": "participant", "output": "Teilnehmer", "possible_translations": [ "Teilnehmerin", "Teilnehmer" ] }, "2463": { "input": "brake", "output": "Bremse", "possible_translations": [ "Bremse", "bremsen" ] }, "2464": { "input": "murderer", "output": "Mörder", "possible_translations": [ "Mörderin", "Mörder" ] }, "2465": { "input": "fluoride", "output": "Fluorid", "possible_translations": [ "Fluorid" ] }, "2466": { "input": "expertise", "output": "Expertise", "possible_translations": [ "Expertise" ] }, "2467": { "input": "citadel", "output": "Zitadelle", "possible_translations": [ "Zitadelle" ] }, "2468": { "input": "cord", "output": "Schnur", "possible_translations": [ "Kordel", "Cord", "Schnur", "Kabel" ] }, "2469": { "input": "cinematography", "output": "Lichtbildkunst", "possible_translations": [ "Lichtbildkunst" ] }, "2470": { "input": "autism", "output": "Autismus", "possible_translations": [ "Autismus" ] }, "2471": { "input": "lesson", "output": "Lehre", "possible_translations": [ "Lektion", "Stunde", "Lehre", "Unterricht", "Lehrstunde" ] }, "2472": { "input": "genome", "output": "Genom", "possible_translations": [ "Genom" ] }, "2473": { "input": "diffusion", "output": "Diffusion", "possible_translations": [ "Diffusion" ] }, "2474": { "input": "privacy", "output": "Zurückgezogenheit", "possible_translations": [ "Privatsphäre", "Zurückgezogenheit" ] }, "2475": { "input": "apparatus", "output": "Apparat", "possible_translations": [ "Apparat" ] }, "2476": { "input": "libretto", "output": "Libretto", "possible_translations": [ "Libretto" ] }, "2477": { "input": "peasant", "output": "Bauer", "possible_translations": [ "Proletin", "Bäuerin", "Landfrau", "Bauernbub", "Plebejerin", "Bauernjunge", "Prolet", "Banausin", "Bauersfrau", "Dorfbewohnerin", "Landmann", "Landarbeiter", "Dörflerin", "Dorfbewohner", "Bauer", "Bauernlümmel", "Banause", "Dörfler", "Plebejer", "Bauernmädchen" ] }, "2478": { "input": "capitalism", "output": "Kapitalismus", "possible_translations": [ "Kapitalismus" ] }, "2479": { "input": "contempt", "output": "Verachtung", "possible_translations": [ "Blamage", "Beamtenbeleidigung", "Verachtung", "Schande", "Mißachtung" ] }, "2480": { "input": "booklet", "output": "Heft", "possible_translations": [ "Broschüre", "Heft" ] }, "2481": { "input": "prosecutor", "output": "Staatsanwalt", "possible_translations": [ "Staatsanwalt", "Staatsanwältin" ] }, "2482": { "input": "chorale", "output": "Chor", "possible_translations": [ "Chor", "Choral" ] }, "2483": { "input": "amusement", "output": "Amüsement", "possible_translations": [ "Unterhaltung", "Vergnügen", "Entertainment", "Amüsement" ] }, "2484": { "input": "royalty", "output": "Nutzungsgebühr", "possible_translations": [ "Nutzungsgebühr" ] }, "2485": { "input": "restriction", "output": "Beschränkung", "possible_translations": [ "Einschränkung", "Verbot", "Beschränkung" ] }, "2486": { "input": "gust", "output": "Bö", "possible_translations": [ "Bö" ] }, "2487": { "input": "tent", "output": "Zelt", "possible_translations": [ "Zelt" ] }, "2488": { "input": "expectation", "output": "Erwartung", "possible_translations": [ "Erwartung" ] }, "2489": { "input": "pilgrimage", "output": "Wallfahrt", "possible_translations": [ "pilgern", "Wallfahrt" ] }, "2490": { "input": "legitimacy", "output": "Rechtmäßigkeit", "possible_translations": [ "Legitimität", "Rechtmäßigkeit" ] }, "2491": { "input": "meditation", "output": "Meditation", "possible_translations": [ "Meditation" ] }, "2492": { "input": "analogy", "output": "Analogie", "possible_translations": [ "Analogie" ] }, "2493": { "input": "socialism", "output": "Sozialismus", "possible_translations": [ "Sozialismus" ] }, "2494": { "input": "commuter", "output": "Pendler", "possible_translations": [ "Pendler" ] }, "2495": { "input": "limb", "output": "Gliedmaße", "possible_translations": [ "Glied", "zergliedern", "Gliedmaße", "Extremitäten", "Gliedmaßen" ] }, "2496": { "input": "cake", "output": "Stück", "possible_translations": [ "Kuchen", "Stück" ] }, "2497": { "input": "vitamin", "output": "Vitamin", "possible_translations": [ "Vitamin" ] }, "2498": { "input": "podium", "output": "Podium", "possible_translations": [ "Podien", "Podium" ] }, "2499": { "input": "algorithm", "output": "Algorithmus", "possible_translations": [ "Algorithmus" ] }, "2500": { "input": "segregation", "output": "Rassentrennung", "possible_translations": [ "Rassentrennung", "Geschlechtertrennung", "Trennung" ] }, "2501": { "input": "worry", "output": "Sorge", "possible_translations": [ "besorgt sein", "Sorge", "e.g. \"mach dir keine Sorgen\"]", "besorgen", "sich Sorgen machen ] is in the dative case" ] }, "2502": { "input": "molecule", "output": "Molekül", "possible_translations": [ "Molekül" ] }, "2503": { "input": "teaser", "output": "Teaser", "possible_translations": [ "Teaser" ] }, "2504": { "input": "nursery", "output": "Gärtnerei", "possible_translations": [ "Kinderzimmer", "Kindergarten", "Baumschule", "Kinderstube", "Gärtnerei" ] }, "2505": { "input": "chancellor", "output": "Kanzler", "possible_translations": [ "Kanzler", "Bundeskanzlerin", "Kanzlerin", "Bundeskanzler" ] }, "2506": { "input": "daytime", "output": "heller Tag", "possible_translations": [ "Tageszeit", "heller Tag" ] }, "2507": { "input": "cook", "output": "Koch", "possible_translations": [ "Koch", "kochend heiß sein", "kochen", "Köchin", "garen" ] }, "2508": { "input": "lure", "output": "Köder", "possible_translations": [ "anlocken", "Lockmittel", "Lockvogel", "locken", "Lure", "Anlockungsmittel", "Köder", "ködern", "Lockung", "Reiz" ] }, "2509": { "input": "scratch", "output": "Kratzer", "possible_translations": [ "verkratzen", "kratzen", "zerkratzen", "Kratzer" ] }, "2510": { "input": "vulnerability", "output": "Verwundbarkeit", "possible_translations": [ "Verwundbarkeit" ] }, "2511": { "input": "staple", "output": "Grundnahrungsmittel", "possible_translations": [ "Grundnahrungsmittel", "Grundversorgung", "Heftklammer", "Ausgangsmaterial" ] }, "2512": { "input": "guess", "output": "Vermutung", "possible_translations": [ "schätzen", "raten", "Vermutung", "erraten" ] }, "2513": { "input": "gamma", "output": "Gamma", "possible_translations": [ "Gamma" ] }, "2514": { "input": "bubble", "output": "Blase", "possible_translations": [ "Blase", "blubbern" ] }, "2515": { "input": "exclusion", "output": "Exklusion", "possible_translations": [ "Exklusion" ] }, "2516": { "input": "relativity", "output": "Relativität", "possible_translations": [ "Relativität" ] }, "2517": { "input": "sociology", "output": "Soziologie", "possible_translations": [ "Soziologie", "Gesellschaftskunde" ] }, "2518": { "input": "stealth", "output": "Heimlichkeit", "possible_translations": [ "Heimlichkeit" ] }, "2519": { "input": "scouting", "output": "Pfadfinderbewegung", "possible_translations": [ "Pfadfinderbewegung" ] }, "2520": { "input": "affinity", "output": "Affinität", "possible_translations": [ "Verwandtschaft", "Affinität" ] }, "2521": { "input": "litter", "output": "Wurf", "possible_translations": [ "Streu", "Trage", "Abfall", "Sänfte", "ferkeln", "Abfall wegwerfen", "Wurf", "Bahre" ] }, "2522": { "input": "outlet", "output": "Direktverkauf", "possible_translations": [ "Direktverkauf", "Steckdose", "Ausgang" ] }, "2523": { "input": "cheek", "output": "Backe", "possible_translations": [ "Backe", "Stirn", "Wange" ] }, "2524": { "input": "forehead", "output": "Stirn", "possible_translations": [ "Stirn" ] }, "2525": { "input": "obligation", "output": "Verpflichtung", "possible_translations": [ "Pflicht", "Verpflichtung" ] }, "2526": { "input": "valve", "output": "Ventil", "possible_translations": [ "Ventil", "Klappe" ] }, "2527": { "input": "dependence", "output": "Abhängigkeit", "possible_translations": [ "Abhängigkeit" ] }, "2528": { "input": "flour", "output": "Mehl", "possible_translations": [ "bemehlen", "Mehl" ] }, "2529": { "input": "wrist", "output": "Handgelenk", "possible_translations": [ "Handgelenk" ] }, "2530": { "input": "literacy", "output": "Lese- und Schreibfähigkeit", "possible_translations": [ "Bildung", "Lese- und Schreibfähigkeit", "Kenntnisse" ] }, "2531": { "input": "outlook", "output": "Aussicht", "possible_translations": [ "Einstellung", "Aussichtspunkt", "Aussicht", "Ansichten", "Ausblick" ] }, "2532": { "input": "mutation", "output": "Mutation", "possible_translations": [ "Mutation" ] }, "2533": { "input": "archaeologist", "output": "Archäologe", "possible_translations": [ "Archäologe", "Archäologin" ] }, "2534": { "input": "activation", "output": "Aktivierung", "possible_translations": [ "Aktivierung", "Aktivieren" ] }, "2535": { "input": "simulation", "output": "Simulation", "possible_translations": [ "Simulation" ] }, "2536": { "input": "subscription", "output": "Abonnement", "possible_translations": [ "Abonnement" ] }, "2537": { "input": "synonym", "output": "Synonym", "possible_translations": [ "Synonym" ] }, "2538": { "input": "recession", "output": "Rezession", "possible_translations": [ "Rezession" ] }, "2539": { "input": "hunger", "output": "Hunger", "possible_translations": [ "hungern", "Hunger" ] }, "2540": { "input": "yoga", "output": "Yoga", "possible_translations": [ "Yoga" ] }, "2541": { "input": "induction", "output": "Induktion", "possible_translations": [ "Induktion" ] }, "2542": { "input": "thread", "output": "Thema", "possible_translations": [ "einfädeln", "roter Faden", "Thread", "durchkommen", "Diskussionsfaden", "passieren", "Zwirn", "Thema", "Faden", "Garn" ] }, "2543": { "input": "plaster", "output": "Gips", "possible_translations": [ "Salbe", "Putz", "Gipsverband", "Gips", "Stuck" ] }, "2544": { "input": "cinematographer", "output": "Kameramann", "possible_translations": [ "Kamerafrau", "Kameramann" ] }, "2545": { "input": "generator", "output": "Generator", "possible_translations": [ "Generator" ] }, "2546": { "input": "narration", "output": "Erzählung", "possible_translations": [ "Erzählung" ] }, "2547": { "input": "obstacle", "output": "Hindernis", "possible_translations": [ "Hindernis" ] }, "2548": { "input": "subfamily", "output": "Unterfamilie", "possible_translations": [ "Unterfamilie" ] }, "2549": { "input": "senate", "output": "Senat", "possible_translations": [ "Senat" ] }, "2550": { "input": "reservation", "output": "Reservierung", "possible_translations": [ "Vorbehalt", "Vorbestellung", "Bedenken", "Reservierung", "Reservat" ] }, "2551": { "input": "workforce", "output": "Belegschaft", "possible_translations": [ "Belegschaft", "Arbeitskräfte" ] }, "2552": { "input": "pond", "output": "Teich", "possible_translations": [ "Teich", "Der Große Teich" ] }, "2553": { "input": "fatigue", "output": "Ermüdung", "possible_translations": [ "Ermüdung", "ermüden", "Überdruss", "Schlappheit", "Müdigkeit", "Erschöpfung" ] }, "2554": { "input": "flexibility", "output": "Flexibilität", "possible_translations": [ "Flexibilität" ] }, "2555": { "input": "crane", "output": "Kranich", "possible_translations": [ "Kran", "Kranich" ] }, "2556": { "input": "cassette", "output": "Kassette", "possible_translations": [ "Zahnkranzpaket", "Tonkassette", "Audiokassette", "Kassette", "Videokassette" ] }, "2557": { "input": "courtship", "output": "Brautwerbung", "possible_translations": [ "Brautwerbung" ] }, "2558": { "input": "adulthood", "output": "Erwachsenenalter", "possible_translations": [ "Erwachsenenalter" ] }, "2559": { "input": "seller", "output": "Verkäufer", "possible_translations": [ "Verkäufer", "Verkäuferin" ] }, "2560": { "input": "grunge", "output": "Schmutz", "possible_translations": [ "Schmutz", "Dreck", "Grunge" ] }, "2561": { "input": "sergeant", "output": "Stabsunteroffizier", "possible_translations": [ "Stabsunteroffizier" ] }, "2562": { "input": "ventilation", "output": "Lüftung", "possible_translations": [ "Lüftung" ] }, "2563": { "input": "peer", "output": "Adeliger", "possible_translations": [ "Adelige", "Edelfrau", "spähen", "Edelmann", "Adeliger" ] }, "2564": { "input": "humidity", "output": "Luftfeuchtigkeit", "possible_translations": [ "Luftfeuchtigkeit", "Feuchtigkeit" ] }, "2565": { "input": "documentation", "output": "Dokumentation", "possible_translations": [ "Dokumentation" ] }, "2566": { "input": "obsession", "output": "Besessenheit", "possible_translations": [ "Obsession", "fixe Idee", "Besessenheit" ] }, "2567": { "input": "contamination", "output": "Verunreinigung ; Verseuchung", "possible_translations": [ "Kontamination", "Verunreinigung ; Verseuchung" ] }, "2568": { "input": "sickness", "output": "Übelkeit", "possible_translations": [ "Übelkeit", "Krankheit" ] }, "2569": { "input": "antiquity", "output": "Antike", "possible_translations": [ "Antike" ] }, "2570": { "input": "prostitution", "output": "Prostitution", "possible_translations": [ "Prostitution" ] }, "2571": { "input": "listener", "output": "Zuhörer", "possible_translations": [ "Zuhörer", "Zuhörerin" ] }, "2572": { "input": "cocaine", "output": "Kokain", "possible_translations": [ "Kokain" ] }, "2573": { "input": "reel", "output": "Haspel", "possible_translations": [ "taumeln", "Spule", "Haspel" ] }, "2574": { "input": "vocabulary", "output": "Vokabular", "possible_translations": [ "Wortschatz", "Vokabular", "Vokabeln" ] }, "2575": { "input": "birthplace", "output": "Geburtsort", "possible_translations": [ "Geburtsort" ] }, "2576": { "input": "spectacle", "output": "Spektakel", "possible_translations": [ "Schauspiel", "Spektakel" ] }, "2577": { "input": "swamp", "output": "Sumpf", "possible_translations": [ "Sumpf", "überschwemmen", "Moor", "überfluten" ] }, "2578": { "input": "crusade", "output": "Kreuzzug", "possible_translations": [ "Kreuzzug", "Feldzug" ] }, "2579": { "input": "ink", "output": "Tinte", "possible_translations": [ "Tinte" ] }, "2580": { "input": "penis", "output": "Penis", "possible_translations": [ "Glied", "Penis", "Schwanz" ] }, "2581": { "input": "logging", "output": "aufzeichnen", "possible_translations": [ "aufzeichnen" ] }, "2582": { "input": "pathway", "output": "Bahn", "possible_translations": [ "Bahn", "Pfad" ] }, "2583": { "input": "prejudice", "output": "Vorurteil", "possible_translations": [ "Voreingenommenheit", "Vorurteil" ] }, "2584": { "input": "analyst", "output": "Analytiker", "possible_translations": [ "Analytiker" ] }, "2585": { "input": "bravery", "output": "Tapferkeit", "possible_translations": [ "Tapferkeit" ] }, "2586": { "input": "clone", "output": "Klon", "possible_translations": [ "klonen", "Klon" ] }, "2587": { "input": "rudder", "output": "Steuerruder", "possible_translations": [ "Steuerruder", "Steuer", "Ruder" ] }, "2588": { "input": "shake", "output": "Schütteln", "possible_translations": [ "erschüttern", "händeschütteln", "schütteln", "Schütteln", "Milchshake" ] }, "2589": { "input": "swift", "output": "Segler", "possible_translations": [ "Segler", "schnell" ] }, "2590": { "input": "wardrobe", "output": "Garderobe", "possible_translations": [ "Kleiderschrank", "Garderobe" ] }, "2591": { "input": "liquor", "output": "alkoholisches Getränk", "possible_translations": [ "alkoholisches Getränk" ] }, "2592": { "input": "reliability", "output": "Zuverlässigkeit", "possible_translations": [ "Zuverlässigkeit" ] }, "2593": { "input": "consistency", "output": "Konsistenz", "possible_translations": [ "Konsistenz", "Widerspruchsfreiheit" ] }, "2594": { "input": "degradation", "output": "Degradierung", "possible_translations": [ "Degradierung" ] }, "2595": { "input": "rendezvous", "output": "Rendezvous", "possible_translations": [ "sich treffen", "Rendezvous" ] }, "2596": { "input": "stripe", "output": "Streifen", "possible_translations": [ "Streifen" ] }, "2597": { "input": "cloverleaf", "output": "Kleeblatt", "possible_translations": [ "Kleeblatt" ] }, "2598": { "input": "antibody", "output": "Antikörper", "possible_translations": [ "Antikörper" ] }, "2599": { "input": "salvation", "output": "Erlösung", "possible_translations": [ "Erlösung", "Rettung" ] }, "2600": { "input": "alphabet", "output": "Alphabet", "possible_translations": [ "Alphabet" ] }, "2601": { "input": "modernization", "output": "Modernisierung", "possible_translations": [ "Modernisierung" ] }, "2602": { "input": "creativity", "output": "Kreativität", "possible_translations": [ "Kreativität" ] }, "2603": { "input": "sampling", "output": "Abtastung", "possible_translations": [ "Abtastung" ] }, "2604": { "input": "botanist", "output": "Botaniker", "possible_translations": [ "Botaniker", "Pflanzenkundlerin", "Pflanzenkundler", "Botanikerin" ] }, "2605": { "input": "injection", "output": "Injektion", "possible_translations": [ "Injektion" ] }, "2606": { "input": "diabetes", "output": "Diabetes", "possible_translations": [ "Zuckerkrankheit", "Zucker", "Diabetes" ] }, "2607": { "input": "wreckage", "output": "Trümmer", "possible_translations": [ "Trümmer" ] }, "2608": { "input": "obituary", "output": "Nachruf", "possible_translations": [ "Traueranzeige", "Todesanzeige", "Nachruf", "Nekrolog" ] }, "2609": { "input": "cone", "output": "Kegel", "possible_translations": [ "Kegelmantel", "Zapfen", "Kegel" ] }, "2610": { "input": "messenger", "output": "Kurier", "possible_translations": [ "Kurier", "Botschafter", "Bote" ] }, "2611": { "input": "endurance", "output": "Ausdauer", "possible_translations": [ "Ausdauer" ] }, "2612": { "input": "abandonment", "output": "Überlassen", "possible_translations": [ "Preisgabe", "Aufgabe", "Überlassen", "Hinterlassung" ] }, "2613": { "input": "localization", "output": "Lokalisieren", "possible_translations": [ "Lokalisieren", "Lokalisierung" ] }, "2614": { "input": "rubble", "output": "Schutt", "possible_translations": [ "Schutt" ] }, "2615": { "input": "granddaughter", "output": "Enkelin", "possible_translations": [ "Enkelin" ] }, "2616": { "input": "advancement", "output": "Fortschritt", "possible_translations": [ "Fortschritt" ] }, "2617": { "input": "credibility", "output": "Glaubwürdigkeit", "possible_translations": [ "Glaubwürdigkeit" ] }, "2618": { "input": "excellence", "output": "Vortrefflichkeit", "possible_translations": [ "Vortrefflichkeit" ] }, "2619": { "input": "repetition", "output": "Wiederholung", "possible_translations": [ "Wiederholung", "Repetition" ] }, "2620": { "input": "neglect", "output": "Vernachlässigung", "possible_translations": [ "Nachlässigkeit", "missachten", "Vernachlässigung", "vernachlässigen" ] }, "2621": { "input": "forage", "output": "fouragieren", "possible_translations": [ "fouragieren", "herumsuchen", "Pferdefutter", "Viehfutter", "Fourage" ] }, "2622": { "input": "voter", "output": "Wähler", "possible_translations": [ "Wähler", "Wählerin" ] }, "2623": { "input": "hiking", "output": "Bergwandern", "possible_translations": [ "Bergwandern", "Wandern" ] }, "2624": { "input": "witchcraft", "output": "Hexerei", "possible_translations": [ "Hexerei" ] }, "2625": { "input": "strand", "output": "Strand", "possible_translations": [ "Strähne", "Strand", "Strang" ] }, "2626": { "input": "ceasefire", "output": "Waffenstillstand", "possible_translations": [ "Feuerpause", "Waffenstillstand" ] }, "2627": { "input": "accompaniment", "output": "Begleitung", "possible_translations": [ "Begleitung" ] }, "2628": { "input": "periphery", "output": "Peripherie", "possible_translations": [ "Peripherie" ] }, "2629": { "input": "modeling", "output": "Modellierung", "possible_translations": [ "Modellierung" ] }, "2630": { "input": "vapor", "output": "Dampf", "possible_translations": [ "prahlen", "Dampf", "dampfen", "verdampfen" ] }, "2631": { "input": "inventor", "output": "Erfinder", "possible_translations": [ "Erfinder", "Erfinderin" ] }, "2632": { "input": "asset", "output": "Aktiva", "possible_translations": [ "Aktiva", "Vermögenswert" ] }, "2633": { "input": "posture", "output": "Haltung", "possible_translations": [ "Haltung" ] }, "2634": { "input": "container", "output": "Behälter", "possible_translations": [ "Behältnis", "Behälter", "Container", "Gefäß" ] }, "2635": { "input": "discontent", "output": "Unzufriedenheit", "possible_translations": [ "Unzufriedenheit" ] }, "2636": { "input": "resentment", "output": "Ressentiment", "possible_translations": [ "Ressentiment", "Missgunst", "Abneigung" ] }, "2637": { "input": "envelope", "output": "Hülle", "possible_translations": [ "Umschlag", "Hülle", "Hüllkurve", "Briefumschlag" ] }, "2638": { "input": "cartoonist", "output": "Cartoonist", "possible_translations": [ "Comiczeichner", "Trickzeichnerin", "Karikaturenzeichner", "Karikaturist", "Cartoonist", "Karikaturistin", "Zeichnerin", "Zeichner", "Comiczeichnerin", "Cartoonistin", "Karikaturenzeichnerin", "Trickzeichner" ] }, "2639": { "input": "diversion", "output": "Umleitung", "possible_translations": [ "Unterhaltung", "Entwässerung", "Umleitung", "Zerstreuung", "Ablenkung" ] }, "2640": { "input": "tumor", "output": "Tumor", "possible_translations": [ "Tumor" ] }, "2641": { "input": "landslide", "output": "Erdrutsch", "possible_translations": [ "Erdrutsch" ] }, "2642": { "input": "shelf", "output": "Schelf", "possible_translations": [ "Schelf", "Regal" ] }, "2643": { "input": "deterioration", "output": "Verschlimmerung", "possible_translations": [ "Verschlimmerung" ] }, "2644": { "input": "metabolism", "output": "Stoffwechsel", "possible_translations": [ "Metabolismus", "Stoffwechsel" ] }, "2645": { "input": "thorium", "output": "Thorium", "possible_translations": [ "Thorium" ] }, "2646": { "input": "echo", "output": "Echo", "possible_translations": [ "Widerhall", "hallen", "zurückwerfen", "wiederholen", "Bildschirmecho", "Echo", "Emil", "widerhallen", "Tastaturecho" ] }, "2647": { "input": "stud", "output": "Stuterei", "possible_translations": [ "Stollen", "Spike", "Niete", "Stift", "Stuterei", "Gestüt" ] }, "2648": { "input": "sermon", "output": "Predigt", "possible_translations": [ "Moralpredigt", "Strafpredigt", "Predigt" ] }, "2649": { "input": "mathematician", "output": "Mathematiker", "possible_translations": [ "Mathematiker", "Mathematikerin" ] }, "2650": { "input": "troupe", "output": "Truppe", "possible_translations": [ "Truppe" ] }, "2651": { "input": "expulsion", "output": "Entfernung", "possible_translations": [ "Entfernung", "Ausweisung", "Vertreibung" ] }, "2652": { "input": "pollen", "output": "Blütenstaub", "possible_translations": [ "Pollen", "Blütenstaub" ] }, "2653": { "input": "concussion", "output": "Erschütterung", "possible_translations": [ "Erschütterung" ] }, "2654": { "input": "purity", "output": "Reinheit", "possible_translations": [ "Reinheit" ] }, "2655": { "input": "eclipse", "output": "Finsternis", "possible_translations": [ "Finsternis", "Eklipse", "Sonnenfinsternis", "Mondfinsternis" ] }, "2656": { "input": "compartment", "output": "Abteil", "possible_translations": [ "Abteil" ] }, "2657": { "input": "excuse", "output": "Ausrede", "possible_translations": [ "verzeihen", "entschuldigen", "sich entschuldigen", "Ausrede" ] }, "2658": { "input": "gateway", "output": "Gateway", "possible_translations": [ "Einfahrt", "Tor", "Zugang", "Protokollumsetzer", "Gateway" ] }, "2659": { "input": "elbow", "output": "Ellbogen", "possible_translations": [ "Swiss: ellbögeln", "Ellbogen" ] }, "2660": { "input": "pardon", "output": "Vergebung", "possible_translations": [ "vergeben", "Vergebung", "wie bitte?", "begnadigen", "wie?", "was?", "Verzeihung", "Begnadigung", "verzeihen", "pardon?" ] }, "2661": { "input": "scent", "output": "Geruch", "possible_translations": [ "Geruch", "Parfüm", "wittern", "Fährte", "parfümieren", "Duftstoff", "Duft" ] }, "2662": { "input": "rhetoric", "output": "Rhetorik", "possible_translations": [ "Rhetorik" ] }, "2663": { "input": "pot", "output": "Gras", "possible_translations": [ "lochen", "Gras", "Einsatz", "etwas in einen Topf werfen", "Topf", "Marihuana", "etwas in einem Topf aufbewahren" ] }, "2664": { "input": "restraint", "output": "Zurückhaltung", "possible_translations": [ "Zügelung", "Zurückhaltung", "Einschränkung", "Zwang", "Beherrschung", "Kontrolle", "Beschränkung" ] }, "2665": { "input": "superintendent", "output": "Leiter", "possible_translations": [ "Leiter" ] }, "2666": { "input": "exhaust", "output": "Abgas", "possible_translations": [ "Abgas", "Auspuff", "Abluft", "dezimieren", "erschöpfen" ] }, "2667": { "input": "semifinal", "output": "Halbfinale", "possible_translations": [ "Semifinale", "Halbfinale" ] }, "2668": { "input": "terrace", "output": "Terrasse", "possible_translations": [ "Terrasse" ] }, "2669": { "input": "fertility", "output": "Fruchtbarkeit", "possible_translations": [ "Fruchtbarkeit" ] }, "2670": { "input": "chemist", "output": "Chemiker", "possible_translations": [ "Chemiker", "Chemikerin" ] }, "2671": { "input": "parrot", "output": "Papagei", "possible_translations": [ "Papagei", "nachplappern" ] }, "2672": { "input": "vernacular", "output": "Volkssprache", "possible_translations": [ "Volkssprache", "Umgangssprache", "Idiom", "Amtssprache", "Dialekt" ] }, "2673": { "input": "smile", "output": "Lächeln", "possible_translations": [ "lächeln", "Lächeln" ] }, "2674": { "input": "luminosity", "output": "Leuchtkraft", "possible_translations": [ "Leuchtkraft", "Helligkeit" ] }, "2675": { "input": "float", "output": "Floß", "possible_translations": [ "treiben", "Float", "borgen", "Festwagen", "begeben", "Floß", "Schwimmer", "gleiten", "schwimmen", "schweben" ] }, "2676": { "input": "stallion", "output": "Deckhengst", "possible_translations": [ "Zuchthengst", "Pferdehengst", "Hengst", "Deckhengst", "Pferdemännchen", "Schälhengst", "Schellhengst", "Beschäler" ] }, "2677": { "input": "supremacy", "output": "Vorherrschaft", "possible_translations": [ "Vorherrschaft" ] }, "2678": { "input": "bath", "output": "Bad", "possible_translations": [ "Baden", "baden", "Badewanne", "Bad" ] }, "2679": { "input": "citation", "output": "ehrenvolle Erwähnung", "possible_translations": [ "Literaturstelle", "Zitat", "Vorladung", "ehrenvolle Erwähnung", "Zitierung" ] }, "2680": { "input": "masculine", "output": "Maskulinum", "possible_translations": [ "maskulin", "Maskulinum", "männlich" ] }, "2681": { "input": "builder", "output": "Baumeister", "possible_translations": [ "Erbauer", "Baumeister" ] }, "2682": { "input": "consultation", "output": "Beratung", "possible_translations": [ "Konsultation", "Beratung" ] }, "2683": { "input": "treasury", "output": "Schatzkammer", "possible_translations": [ "Schatzkammer" ] }, "2684": { "input": "neighbourhood", "output": "Nachbarschaft", "possible_translations": [ "Umgebung", "Nachbarschaft" ] }, "2685": { "input": "blunt", "output": "Blunt", "possible_translations": [ "stumpf", "ungehobelt", "abstumpfen", "abgestumpft", "unverblümt", "Blunt" ] }, "2686": { "input": "camping", "output": "Camping", "possible_translations": [ "Camping" ] }, "2687": { "input": "bikini", "output": "Bikini", "possible_translations": [ "Bikini" ] }, "2688": { "input": "techno", "output": "Techno", "possible_translations": [ "Techno" ] }, "2689": { "input": "conscription", "output": "Wehrpflicht", "possible_translations": [ "Wehrpflicht" ] }, "2690": { "input": "kidnapping", "output": "Entführung", "possible_translations": [ "Entführung", "Menschenraub", "Kinderraub" ] }, "2691": { "input": "spray", "output": "Spray", "possible_translations": [ "Spray", "versprühen", "Reisig", "zerstäuben", "Sprühnebel" ] }, "2692": { "input": "feminism", "output": "Feminismus", "possible_translations": [ "Feminismus" ] }, "2693": { "input": "assertion", "output": "Versicherung", "possible_translations": [ "Versicherung", "Zusicherung" ] }, "2694": { "input": "capsule", "output": "Kapsel", "possible_translations": [ "Kapsel" ] }, "2695": { "input": "recipe", "output": "Rezept", "possible_translations": [ "Kochrezept", "Rezept" ] }, "2696": { "input": "compliance", "output": "Einwilligung", "possible_translations": [ "Fügsamkeit", "Einwilligung" ] }, "2697": { "input": "sect", "output": "Sekte", "possible_translations": [ "Sekte" ] }, "2698": { "input": "brood", "output": "Brut", "possible_translations": [ "brüten", "Brut" ] }, "2699": { "input": "dopamine", "output": "Dopamin", "possible_translations": [ "Dopamin" ] }, "2700": { "input": "chip", "output": "Chip", "possible_translations": [ "Chip", "Fritte", "Kartoffelchip", "Pommes", "Pommes frites" ] }, "2701": { "input": "tuition", "output": "Studiengebühr", "possible_translations": [ "Tutorium", "Studiengebühr", "Unterricht", "Unterrichtsgebühr" ] }, "2702": { "input": "silicon", "output": "Silizium", "possible_translations": [ "Silicium", "Silizium" ] }, "2703": { "input": "famine", "output": "Hungersnot", "possible_translations": [ "Hungersnot", "Hunger" ] }, "2704": { "input": "reinforcement", "output": "Verstärkung", "possible_translations": [ "Verstärkung" ] }, "2705": { "input": "dissatisfaction", "output": "Unzufriedenheit", "possible_translations": [ "Unzufriedenheit" ] }, "2706": { "input": "denomination", "output": "Benennung", "possible_translations": [ "Bezeichnung", "Stückelung", "Benennung", "Konfession" ] }, "2707": { "input": "basket", "output": "Korb", "possible_translations": [ "Korb" ] }, "2708": { "input": "manipulation", "output": "Manipulierung", "possible_translations": [ "Manipulation", "Manipulierung", "Manipulieren" ] }, "2709": { "input": "insignia", "output": "Insigne", "possible_translations": [ "Abzeichen", "Signum", "Insigne" ] }, "2710": { "input": "delta", "output": "Delta", "possible_translations": [ "Delta" ] }, "2711": { "input": "stereotype", "output": "Stereotyp", "possible_translations": [ "Rollenklischee", "Stereotypie", "Stereotyp", "Klischee" ] }, "2712": { "input": "litigation", "output": "Rechtsstreit", "possible_translations": [ "Rechtsstreit" ] }, "2713": { "input": "juice", "output": "Saft", "possible_translations": [ "Saft", "entsaften" ] }, "2714": { "input": "liability", "output": "Verantwortung", "possible_translations": [ "Verantwortung", "Schuld", "Verpflichtung" ] }, "2715": { "input": "maid", "output": "Dienstmädchen", "possible_translations": [ "Dienstmädchen", "Mädchen" ] }, "2716": { "input": "certainty", "output": "Sicherheit", "possible_translations": [ "Sicherheit" ] }, "2717": { "input": "semester", "output": "Semester", "possible_translations": [ "Semester", "Halbjahr" ] }, "2718": { "input": "clutch", "output": "Kupplung", "possible_translations": [ "packen", "ergreifen", "schnappen", "Kupplung", "Kupplungspedal" ] }, "2719": { "input": "gut", "output": "Darm", "possible_translations": [ "Darmsaite", "darmbesaitet", "Ranzen", "Bauchgefühl-", "ausweiden", "Bauch", "instinktiv", "ausnehmen", "Eingeweide", "Darm", "Bauch-" ] }, "2720": { "input": "trim", "output": "Trimm", "possible_translations": [ "Trimm", "stutzen", "kürzen", "schlank", "schmücken", "zurückschneiden", "fit", "gepflegt", "Innenausstattung", "schneiden", "Segeltrimmung", "nachschneiden", "Verkleidung", "Ausstattung" ] }, "2721": { "input": "hazard", "output": "Gefahr", "possible_translations": [ "Zufall", "Gefahr" ] }, "2722": { "input": "apple", "output": "Apfel", "possible_translations": [ "Apfel", "Apfelholz" ] }, "2723": { "input": "grenade", "output": "Granate", "possible_translations": [ "Granate" ] }, "2724": { "input": "gag", "output": "Knebel", "possible_translations": [ "mundtot machen", "Gag", "würgen", "Witz", "Knebel", "Maulkorberlass" ] }, "2725": { "input": "brightness", "output": "Helligkeit", "possible_translations": [ "Aufgewecktheit", "Helligkeit" ] }, "2726": { "input": "imprint", "output": "Gepräge", "possible_translations": [ "Abdruck", "Gepräge", "aufdrucken", "einprägen", "Impressum", "abdrucken", "Aufdruck" ] }, "2727": { "input": "remark", "output": "Bemerkung", "possible_translations": [ "Bemerkung" ] }, "2728": { "input": "leap", "output": "Sprung", "possible_translations": [ "hüpfen", "Sprungweite", "springen", "Satz", "einen Satz machen", "Sprung" ] }, "2729": { "input": "nonsense", "output": "Blödsinn", "possible_translations": [ "Nonsens", "Quatsch", "Blödsinn", "Unsinn" ] }, "2730": { "input": "backlash", "output": "Spiel", "possible_translations": [ "Spiel" ] }, "2731": { "input": "toilet", "output": "Klo", "possible_translations": [ "WC", "Kloset", "Toilette", "Scheißladen", "Klo" ] }, "2732": { "input": "pile", "output": "Haufen", "possible_translations": [ "beigen", "Beige", "Haufen", "anhäufen", "Stoß", "aufstapeln", "Pfahl", "Halde", "schichten", "Stapel", "stapeln" ] }, "2733": { "input": "pad", "output": "Unterlage", "possible_translations": [ "Unterlage", "Polster" ] }, "2734": { "input": "originality", "output": "Originalität", "possible_translations": [ "Originalität" ] }, "2735": { "input": "registry", "output": "Register", "possible_translations": [ "Registratur", "Register", "Registrierung" ] }, "2736": { "input": "attire", "output": "Anzug", "possible_translations": [ "Aufzug", "bekleiden", "anziehen", "Tracht", "Kleidung", "Anzug", "kleiden" ] }, "2737": { "input": "pastor", "output": "Pastor", "possible_translations": [ "Pastorin", "Pastor", "Pfarrer", "Pfarrerin" ] }, "2738": { "input": "verb", "output": "Verb", "possible_translations": [ "Verbum", "Wandelwort", "Zeitwort", "Tuwort /Tunwort", "Low:", "Tätigkeitswort", "Verb", "Aussagewort;" ] }, "2739": { "input": "judiciary", "output": "Justiz", "possible_translations": [ "Judikative", "Justiz" ] }, "2740": { "input": "unification", "output": "Vereinigung", "possible_translations": [ "Vereinigung" ] }, "2741": { "input": "tuning", "output": "Anpassung", "possible_translations": [ "Stimmung", "Anpassung" ] }, "2742": { "input": "electorate", "output": "Kurfürstentum", "possible_translations": [ "Kurfürstentum", "Wählerschaft" ] }, "2743": { "input": "bolster", "output": "Polster", "possible_translations": [ "", "in Austria", "Polster" ] }, "2744": { "input": "taxonomy", "output": "Taxonomie", "possible_translations": [ "Taxonomie" ] }, "2745": { "input": "turf", "output": "Rasen", "possible_translations": [ "Rasen" ] }, "2746": { "input": "pony", "output": "Pony", "possible_translations": [ "Kleinpferd", "Pony" ] }, "2747": { "input": "acceleration", "output": "Beschleunigung", "possible_translations": [ "Beschleunigung" ] }, "2748": { "input": "sighting", "output": "Sichtung", "possible_translations": [ "Sichtung" ] }, "2749": { "input": "topography", "output": "Topografie", "possible_translations": [ "Topografie" ] }, "2750": { "input": "dairy", "output": "Molkerei", "possible_translations": [ "Molkereiprodukte", "Milchprodukte", "Milchladen", "Molkerei" ] }, "2751": { "input": "mercy", "output": "Gnade", "possible_translations": [ "Barmherzigkeit", "Gnade" ] }, "2752": { "input": "hormone", "output": "Hormon", "possible_translations": [ "Hormon" ] }, "2753": { "input": "toe", "output": "Zeh", "possible_translations": [ "Zeh", "Zehe", "Vorspur" ] }, "2754": { "input": "sabotage", "output": "Sabotage", "possible_translations": [ "sabotieren", "Sabotage" ] }, "2755": { "input": "smuggling", "output": "Schmuggel", "possible_translations": [ "Schmuggel" ] }, "2756": { "input": "ratification", "output": "Bestätigung", "possible_translations": [ "Ratifikation", "Bestätigung", "Ratifizierung" ] }, "2757": { "input": "forum", "output": "Forum", "possible_translations": [ "Forum" ] }, "2758": { "input": "telegram", "output": "Telegramm", "possible_translations": [ "Telegramm" ] }, "2759": { "input": "lizard", "output": "Eidechse", "possible_translations": [ "Eidechse" ] }, "2760": { "input": "butter", "output": "Butter", "possible_translations": [ "Butter", "mit Butter bestreichen" ] }, "2761": { "input": "doctorate", "output": "Doktorgrad", "possible_translations": [ "Doktortitel", "Doktorgrad", "Doktorat" ] }, "2762": { "input": "convenience", "output": "Annehmlichkeit", "possible_translations": [ "Annehmlichkeit", "Bequemlichkeit" ] }, "2763": { "input": "exposition", "output": "Ausstellung", "possible_translations": [ "Exposition", "Ausstellung", "Einführung" ] }, "2764": { "input": "readiness", "output": "Bereitschaft", "possible_translations": [ "Bereitschaft" ] }, "2765": { "input": "ribbon", "output": "Farbband", "possible_translations": [ "Farbband", "Band" ] }, "2766": { "input": "interrogation", "output": "Befragung", "possible_translations": [ "Verhör", "Vernehmung", "Befragung" ] }, "2767": { "input": "pornography", "output": "Pornografie", "possible_translations": [ "Pornografie" ] }, "2768": { "input": "pulse", "output": "Puls", "possible_translations": [ "Puls" ] }, "2769": { "input": "pepper", "output": "Pfeffer", "possible_translations": [ "Pfeffer", "Pfefferstrauch" ] }, "2770": { "input": "injunction", "output": "Verfügung", "possible_translations": [ "Verfügung" ] }, "2771": { "input": "productivity", "output": "Produktivität", "possible_translations": [ "Produktivität", "Leistungsfähigkeit" ] }, "2772": { "input": "discourse", "output": "Diskurs", "possible_translations": [ "Gespräch", "eine Rede halten", "Abhandlung", "reden", "Diskurs" ] }, "2773": { "input": "doorway", "output": "Türöffnung", "possible_translations": [ "Türöffnung" ] }, "2774": { "input": "distortion", "output": "Verzerrung", "possible_translations": [ "Enstellung", "Zerrbild", "Verdrehung", "Verzerrung", "Verformung", "Verwindung" ] }, "2775": { "input": "grape", "output": "Weintraube", "possible_translations": [ "Weinbeere", "Weintraube", "Weinrebe" ] }, "2776": { "input": "whaling", "output": "Walfang", "possible_translations": [ "Walfang" ] }, "2777": { "input": "heel", "output": "Ferse", "possible_translations": [ "Knapp", "Schuhabsatz", "Kanten", "Ranft", "Absatz", "Scherzl", "Abschnitt", "Knust", "Ferse", "technical terms in bakery trade: Anschnitt" ] }, "2778": { "input": "secrecy", "output": "Geheimhaltung", "possible_translations": [ "Geheimhaltung" ] }, "2779": { "input": "wavelength", "output": "Wellenlänge", "possible_translations": [ "Wellenlänge" ] }, "2780": { "input": "arbitration", "output": "Schiedsspruch", "possible_translations": [ "Schiedsspruch" ] }, "2781": { "input": "nectar", "output": "Nektar", "possible_translations": [ "Nektar" ] }, "2782": { "input": "prevention", "output": "Prävention", "possible_translations": [ "Prävention" ] }, "2783": { "input": "fringe", "output": "Randgruppe", "possible_translations": [ "Randgruppe", "Rand-", "Pony", "Rand" ] }, "2784": { "input": "lockout", "output": "Aussperrung", "possible_translations": [ "Aussperrung" ] }, "2785": { "input": "transcription", "output": "Transkription", "possible_translations": [ "Transkription" ] }, "2786": { "input": "peacetime", "output": "Friedenszeit", "possible_translations": [ "Friedenszeit" ] }, "2787": { "input": "whistle", "output": "Pfeifen", "possible_translations": [ "pfeifen", "Pfiff", "Pfeifen", "flöten", "Trillerpfeife", "Flöte", "Pfeife" ] }, "2788": { "input": "spear", "output": "Speer", "possible_translations": [ "Speer" ] }, "2789": { "input": "hint", "output": "Hinweis", "possible_translations": [ "Hinweis" ] }, "2790": { "input": "boot", "output": "Stiefel", "possible_translations": [ "starten", "Stiefel", "laden" ] }, "2791": { "input": "nationality", "output": "Nationalität", "possible_translations": [ "Nationalität" ] }, "2792": { "input": "puck", "output": "Eishockeyscheibe", "possible_translations": [ "Scheibe", "Puck", "Eishockeyscheibe" ] }, "2793": { "input": "titanium", "output": "Titan", "possible_translations": [ "Titan" ] }, "2794": { "input": "waist", "output": "Taille", "possible_translations": [ "Rumpf", "Taille" ] }, "2795": { "input": "classroom", "output": "Klassenzimmer", "possible_translations": [ "Klassenzimmer", "Klassenraum" ] }, "2796": { "input": "algae", "output": "Algen", "possible_translations": [ "Algen" ] }, "2797": { "input": "irony", "output": "Ironie", "possible_translations": [ "Ironie" ] }, "2798": { "input": "tap", "output": "Gewindeschneider", "possible_translations": [ "Zapfen", "Wasserhahn", "Zapfhahn", "Mischbatterie", "Hahn", "mit einem Hahn versehen", "abzapfen", "Spund", "anzapfen", "Kran", "Gewindeschneider", "Armatur" ] }, "2799": { "input": "intro", "output": "intro", "possible_translations": [ "intro" ] }, "2800": { "input": "consul", "output": "Konsul", "possible_translations": [ "Konsul" ] }, "2801": { "input": "imitation", "output": "Imitation", "possible_translations": [ "Imitation", "Nachahmung", "Imitat", "Kopie" ] }, "2802": { "input": "acquaintance", "output": "Bekannter", "possible_translations": [ "Bekanntschaft", "Bekannte", "Bekannter", "Umgang" ] }, "2803": { "input": "destiny", "output": "Schicksal", "possible_translations": [ "Schicksal", "Los" ] }, "2804": { "input": "rigging", "output": "Takelage", "possible_translations": [ "Takelage" ] }, "2805": { "input": "convict", "output": "Sträfling", "possible_translations": [ "verurteilen", "Sträfling" ] }, "2806": { "input": "venom", "output": "Gift", "possible_translations": [ "Gift" ] }, "2807": { "input": "courtesy", "output": "Höflichkeit", "possible_translations": [ "Höflichkeit" ] }, "2808": { "input": "interlude", "output": "Zwischenspiel", "possible_translations": [ "Zwischenspiel" ] } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/induce/translation_en-es.json ================================================ { "metadata": { "num_examples": 2711 }, "examples": { "1": { "input": "time", "output": "hora", "possible_translations": [ "cronometrar", "tanda", "era", "momento", "tiempo", "hora del día", "vez", "hora", "programar", "veces", "por" ] }, "2": { "input": "game", "output": "juego", "possible_translations": [ "juego", "caza" ] }, "3": { "input": "film", "output": "película", "possible_translations": [ "filme", "rodar", "filmar", "película", "cinematografiar" ] }, "4": { "input": "season", "output": "temporada", "possible_translations": [ "condimentar", "temporada", "aclimatar", "estación", "sazonar", "adobar", "acostumbrar", "habituar", "período o época", "aliñar", "madurar" ] }, "5": { "input": "year", "output": "año", "possible_translations": [ "grado", "año" ] }, "6": { "input": "second", "output": "segundo", "possible_translations": [ "segundo", "momento", "segunda", "secundar" ] }, "7": { "input": "album", "output": "álbum", "possible_translations": [ "álbum" ] }, "8": { "input": "song", "output": "canción", "possible_translations": [ "canción" ] }, "9": { "input": "number", "output": "número", "possible_translations": [ "cantidad", "numerar", "serie", "número" ] }, "10": { "input": "part", "output": "categoría", "possible_translations": [ "repartir", "porción", "categoría", "partirse", "separarse", "papel", "hacer una raya", "parte", "partir", "apartarse", "pedazo", "retiro", "partido", "partidura", "raya", "trozo", "carrera" ] }, "11": { "input": "team", "output": "equipo", "possible_translations": [ "yunta", "tiro", "cuadrilla", "equipo" ] }, "12": { "input": "episode", "output": "episodio", "possible_translations": [ "episodio" ] }, "13": { "input": "work", "output": "trabajo", "possible_translations": [ "hacer funcionar", "ser eficaz", "obra", "motivar", "tallar", "trabajo", "funcionar", "marchar", "moverse", "operar", "obras", "producir", "fermentar", "trabajar", "torcerse", "bordar" ] }, "14": { "input": "day", "output": "día", "possible_translations": [ "día" ] }, "15": { "input": "end", "output": "muerte", "possible_translations": [ "finalizar", "muerte", "fin", "finir", "acabarse", "terminar", "terminarse", "acabar" ] }, "16": { "input": "music", "output": "música", "possible_translations": [ "música" ] }, "17": { "input": "state", "output": "estado", "possible_translations": [ "declarar", "estado" ] }, "18": { "input": "century", "output": "centuria", "possible_translations": [ "centuria", "siglo" ] }, "19": { "input": "area", "output": "área", "possible_translations": [ "región", "área" ] }, "20": { "input": "life", "output": "vida", "possible_translations": [ "vida", "duración de la vida" ] }, "21": { "input": "city", "output": "ciudad", "possible_translations": [ "ciudad", "urbe" ] }, "22": { "input": "show", "output": "programa", "possible_translations": [ "mostrar", "show", "demostración", "espectáculo", "programa", "exposición", "demostrar" ] }, "23": { "input": "war", "output": "guerra", "possible_translations": [ "guerrear", "guerra" ] }, "24": { "input": "group", "output": "grupo", "possible_translations": [ "grupo", "agrupar" ] }, "25": { "input": "character", "output": "carácter", "possible_translations": [ "personaje", "carácter" ] }, "26": { "input": "system", "output": "sistema", "possible_translations": [ "sistema" ] }, "27": { "input": "name", "output": "nombre", "possible_translations": [ "elegir", "nombrar", "precisar", "reputación", "escoger", "nombre", "renombre", "fama", "especificar", "denominar" ] }, "28": { "input": "government", "output": "gobierno", "possible_translations": [ "gobierno" ] }, "29": { "input": "line", "output": "línea", "possible_translations": [ "hilo", "segmento", "cola", "hilera", "trazo", "recta", "cinta métrica", "verso", "rasgo", "renglón", "fila", "línea" ] }, "30": { "input": "home", "output": "hogar", "possible_translations": [ "hogar", "patria", "a casa" ] }, "31": { "input": "band", "output": "banda", "possible_translations": [ "banda", "pasmo", "cinta", "grupo", "franja" ] }, "32": { "input": "record", "output": "registro", "possible_translations": [ "grabar", "anotar", "registrar", "récord", "registro" ] }, "33": { "input": "ship", "output": "barco", "possible_translations": [ "barco", "enviar", "nave", "buque" ] }, "34": { "input": "world", "output": "mundo", "possible_translations": [ "globo", "universo", "mundo", "tierra" ] }, "35": { "input": "death", "output": "muerte", "possible_translations": [ "muerte", "la muerte", "el arcano de la muerte" ] }, "36": { "input": "release", "output": "versión", "possible_translations": [ "descargado", "lanzamiento", "lanzar", "soltar", "versión", "soltado", "liberar" ] }, "37": { "input": "video", "output": "vídeo", "possible_translations": [ "vídeo", "video", "videocinta" ] }, "38": { "input": "role", "output": "papel", "possible_translations": [ "rol", "papel" ] }, "39": { "input": "match", "output": "igual", "possible_translations": [ "corresponder", "emparejar", "cerilla", "igual", "partido", "igualar", "coincidir", "fósforo" ] }, "40": { "input": "way", "output": "medios", "possible_translations": [ "camino", "forma", "medios", "vía", "muy", "manera", "modo" ] }, "41": { "input": "south", "output": "sur", "possible_translations": [ "sureño", "meridional", "al sur", "sur", "hacer aguas", "del sur", "austral" ] }, "42": { "input": "side", "output": "lado", "possible_translations": [ "lado", "bando", "página", "equipo", "selección" ] }, "43": { "input": "career", "output": "carrera", "possible_translations": [ "carrera" ] }, "44": { "input": "school", "output": "escuela", "possible_translations": [ "universidad", "cardumen", "educar", "banco de peces", "facultad", "escolarizar", "escuela" ] }, "45": { "input": "production", "output": "elaboración", "possible_translations": [ "elaboración", "producción" ] }, "46": { "input": "story", "output": "cuento", "possible_translations": [ "historia", "cuento" ] }, "47": { "input": "water", "output": "agua", "possible_translations": [ "vaso de agua", "aguar", "dar agua a", "agua", "regar", "aguas menores", "aguas", "humor", "botella de agua", "fluidos corporales", "fluido" ] }, "48": { "input": "power", "output": "potencia", "possible_translations": [ "electricidad", "poder", "corriente", "potencia" ] }, "49": { "input": "form", "output": "formulario", "possible_translations": [ "forma", "formar", "formulario" ] }, "50": { "input": "storm", "output": "temporal", "possible_translations": [ "irrumpir", "ventisca", "temporal", "ventisquero", "vendaval", "asaltar", "tempestad", "borrasca", "viento fuerte", "tormenta", "temporal de viento" ] }, "51": { "input": "player", "output": "jugador", "possible_translations": [ "jugador", "jugadora" ] }, "52": { "input": "history", "output": "historia", "possible_translations": [ "historia", "historial", "antecedentes", "registro", "historia clínica" ] }, "53": { "input": "version", "output": "versión", "possible_translations": [ "versión" ] }, "54": { "input": "support", "output": "apoyo", "possible_translations": [ "apoyar", "soporte", "apuntalar", "respaldo", "respaldar", "sostener", "apoyo" ] }, "55": { "input": "book", "output": "libro", "possible_translations": [ "anotar", "libreto", "álbum", "multar", "reservar", "libro" ] }, "56": { "input": "period", "output": "período", "possible_translations": [ "período", "y punto", "punto" ] }, "57": { "input": "half", "output": "mitad", "possible_translations": [ "mitad" ] }, "58": { "input": "company", "output": "compañía", "possible_translations": [ "compañía", "empresa" ] }, "59": { "input": "position", "output": "posición", "possible_translations": [ "posición", "puesto" ] }, "60": { "input": "order", "output": "orden", "possible_translations": [ "pedir", "orden", "ordenar", "arreglar", "mandato", "mandar" ] }, "61": { "input": "attack", "output": "ataque", "possible_translations": [ "ataque", "atacar" ] }, "62": { "input": "building", "output": "edificación", "possible_translations": [ "edificación", "edificio", "construcción" ] }, "63": { "input": "town", "output": "ciudad", "possible_translations": [ "ciudad", "pueblo" ] }, "64": { "input": "performance", "output": "actuación", "possible_translations": [ "actuación", "rendimiento", "espectáculo", "exhibición", "cumplimiento", "desempeño", "prestación", "número", "realización", "ejecución", "representación" ] }, "65": { "input": "country", "output": "país", "possible_translations": [ "campo", "de campo", "campesino", "país", "de provincia", "provinciano", "campestre", "ranchera" ] }, "66": { "input": "west", "output": "oeste", "possible_translations": [ "occidental", "al oeste", "oeste" ] }, "67": { "input": "service", "output": "servicio", "possible_translations": [ "saque", "servicio", "servir" ] }, "68": { "input": "father", "output": "padre", "possible_translations": [ "engendrar", "producir", "padre", "ocasionar" ] }, "69": { "input": "track", "output": "pista", "possible_translations": [ "rastro", "vía", "surco", "huella", "pista" ] }, "70": { "input": "club", "output": "club", "possible_translations": [ "palo", "bastón", "club", "agrupar", "discoteca", "garrote", "apalear", "trébol", "garrotear" ] }, "71": { "input": "control", "output": "control", "possible_translations": [ "manejo", "mando", "patrón de comparación", "control", "dirección", "autodominio", "organización", "de control", "controlar", "contramedida", "administración" ] }, "72": { "input": "development", "output": "desarrollo", "possible_translations": [ "desarrollo" ] }, "73": { "input": "result", "output": "resultado", "possible_translations": [ "resultar", "resultado", "resolución" ] }, "74": { "input": "run", "output": "galopar", "possible_translations": [ "afluir", "fluir", "galopar", "correr", "carrera" ] }, "75": { "input": "week", "output": "semana", "possible_translations": [ "semana" ] }, "76": { "input": "class", "output": "clase", "possible_translations": [ "curso", "promoción", "clase" ] }, "77": { "input": "force", "output": "fuerza", "possible_translations": [ "obligar", "fuerza", "forzar" ] }, "78": { "input": "land", "output": "patria", "possible_translations": [ "país", "aterrizar", "patria", "tierra" ] }, "79": { "input": "house", "output": "casa", "possible_translations": [ "albergar", "almacenar", "casa", "encajar", "Cámara", "alojar", "hospedar", "teatro", "envolver", "vivienda" ] }, "80": { "input": "fire", "output": "fuego", "possible_translations": [ "tiro", "incendio", "horno", "lumbre", "despedir", "echar", "disparo", "estufa", "tirar", "fuego", "licenciar", "descargar", "disparar", "cocer" ] }, "81": { "input": "television", "output": "televisión", "possible_translations": [ "televisión", "televisor" ] }, "82": { "input": "return", "output": "regresar", "possible_translations": [ "retornar", "retorno", "regreso", "volver", "vuelta", "retrovender", "regresar", "devolver" ] }, "83": { "input": "head", "output": "cabeza", "possible_translations": [ "cabeza", "director", "liderar", "dirigir", "directora", "marote", "jefe", "punta", "sabiola", "encabezar", "cabecear", "dirigirse", "líder", "testa", "maceta" ] }, "84": { "input": "style", "output": "tratamiento", "possible_translations": [ "gineceo", "estilo", "tratamiento", "honorífico", "pistilo", "título" ] }, "85": { "input": "design", "output": "diseño", "possible_translations": [ "diseño", "intención", "diseñar", "modelo" ] }, "86": { "input": "level", "output": "nivel", "possible_translations": [ "nivel", "niveles", "nivelado", "llano" ] }, "87": { "input": "success", "output": "éxito", "possible_translations": [ "éxito", "acierto" ] }, "88": { "input": "route", "output": "recorrido", "possible_translations": [ "recorrido", "trayecto", "ruta" ] }, "89": { "input": "member", "output": "miembro", "possible_translations": [ "miembro", "miembro viril" ] }, "90": { "input": "battle", "output": "batalla", "possible_translations": [ "luchar", "lucha", "batalla", "batallar" ] }, "91": { "input": "addition", "output": "adición", "possible_translations": [ "suma", "añadidura", "adición" ] }, "92": { "input": "air", "output": "aire", "possible_translations": [ "airear", "aerar", "aire", "retransmitir", "aria" ] }, "93": { "input": "road", "output": "camino", "possible_translations": [ "camino", "ruta", "calle" ] }, "94": { "input": "range", "output": "campo de tiro", "possible_translations": [ "sierra", "cordillera", "campo de tiro", "intervalo", "dehesa", "escala", "gama", "amplitud", "rango", "hornillo", "estufa", "alcance", "extensión", "distancia", "autonomía" ] }, "95": { "input": "age", "output": "edad", "possible_translations": [ "era", "edades", "generación", "años", "época", "envejecer", "mayoría", "envejecerse", "tercera edad", "edad" ] }, "96": { "input": "race", "output": "raza", "possible_translations": [ "corriente", "raíz", "raza", "concurso", "correr", "carrera" ] }, "97": { "input": "body", "output": "cuerpo", "possible_translations": [ "torso", "cuerpo", "carrocería" ] }, "98": { "input": "present", "output": "presente", "possible_translations": [ "ahora", "mostrar", "presentar", "presente", "actual" ] }, "99": { "input": "action", "output": "acción", "possible_translations": [ "acción" ] }, "100": { "input": "population", "output": "población", "possible_translations": [ "población" ] }, "101": { "input": "campaign", "output": "campaña", "possible_translations": [ "campaña" ] }, "102": { "input": "stage", "output": "etapa", "possible_translations": [ "calesa", "montar", "actuar", "etapa", "fingir", "platina", "trucar", "escenario", "diligencia", "escena", "fase" ] }, "103": { "input": "station", "output": "estación", "possible_translations": [ "estación" ] }, "104": { "input": "site", "output": "sitio", "possible_translations": [ "solar", "sitio" ] }, "105": { "input": "law", "output": "ley", "possible_translations": [ "ley", "derecho" ] }, "106": { "input": "night", "output": "oscuridad", "possible_translations": [ "noche", "oscuridad", "tarde" ] }, "107": { "input": "construction", "output": "construcción", "possible_translations": [ "construcción" ] }, "108": { "input": "damage", "output": "daño", "possible_translations": [ "dañar", "daño", "damno" ] }, "109": { "input": "case", "output": "caja", "possible_translations": [ "caso", "carcasa", "estudiar el terreno", "maleta", "caja", "vitrina", "causa", "empaquetar" ] }, "110": { "input": "event", "output": "evento", "possible_translations": [ "suceso", "accidente", "evento", "acontecimiento" ] }, "111": { "input": "scene", "output": "escena", "possible_translations": [ "escenario", "escena" ] }, "112": { "input": "front", "output": "frente", "possible_translations": [ "frente", "fingir", "aparentar" ] }, "113": { "input": "ground", "output": "fondo", "possible_translations": [ "fondo", "fundamento", "polo a tierra", "castigar", "poner a tierra", "picado", "conectar a tierra", "base", "suelo", "molido", "tierra", "toma de tierra" ] }, "114": { "input": "field", "output": "campo", "possible_translations": [ "terreno", "cuerpo", "campo" ] }, "115": { "input": "region", "output": "región", "possible_translations": [ "región" ] }, "116": { "input": "office", "output": "oficina", "possible_translations": [ "oficina" ] }, "117": { "input": "example", "output": "ejemplar", "possible_translations": [ "ejemplar", "ejemplo" ] }, "118": { "input": "wife", "output": "esposa", "possible_translations": [ "esposa", "mujer" ] }, "119": { "input": "army", "output": "ejército", "possible_translations": [ "multitud", "armada", "ejército" ] }, "120": { "input": "mother", "output": "madre", "possible_translations": [ "madre" ] }, "121": { "input": "project", "output": "proyecto", "possible_translations": [ "proyectar", "proyecto" ] }, "122": { "input": "rest", "output": "reposo", "possible_translations": [ "pausa", "descansar", "reposar", "sobra", "desistir", "brazo", "resto", "reposo", "descanso" ] }, "123": { "input": "highway", "output": "carretera", "possible_translations": [ "carretera" ] }, "124": { "input": "training", "output": "capacitación", "possible_translations": [ "capacitación", "entrenamiento" ] }, "125": { "input": "rock", "output": "piedra", "possible_translations": [ "peña", "piedra preciosa", "peñasco", "rockear", "roca", "rock", "mecer", "piedra" ] }, "126": { "input": "shot", "output": "peso", "possible_translations": [ "tiro", "cansado", "chupito", "peso", "tequilazo", "desgastado", "trago", "disparo", "bala" ] }, "127": { "input": "process", "output": "proceso", "possible_translations": [ "proceder", "proceso", "tratar", "procesar" ] }, "128": { "input": "command", "output": "orden", "possible_translations": [ "mandato", "mando", "orden" ] }, "129": { "input": "month", "output": "mes", "possible_translations": [ "mes" ] }, "130": { "input": "crew", "output": "tripulación", "possible_translations": [ "grupo", "tripulación", "grumete", "equipo", "tripulante", "equipaje" ] }, "131": { "input": "studio", "output": "estudio", "possible_translations": [ "estudio" ] }, "132": { "input": "director", "output": "director", "possible_translations": [ "director", "directora" ] }, "133": { "input": "hurricane", "output": "huracán", "possible_translations": [ "huracán" ] }, "134": { "input": "change", "output": "cambio", "possible_translations": [ "menudo", "calderilla", "chatarra", "devueltas", "mutar", "suelto", "cambiarse", "vueltas", "feria", "cambiar", "mutación", "morralla", "modificar", "sencillo", "reemplazar", "vuelto", "reemplazo", "vuelta", "demudarse", "cambio", "modificación", "recambiar", "mudar", "evolución", "demudar" ] }, "135": { "input": "appearance", "output": "aparición", "possible_translations": [ "apariencia", "aparición" ] }, "136": { "input": "goal", "output": "portería", "possible_translations": [ "portería", "gol", "meta" ] }, "137": { "input": "relationship", "output": "relación", "possible_translations": [ "relación" ] }, "138": { "input": "court", "output": "corte", "possible_translations": [ "pololear", "corte", "cortejar", "cancha", "callejón", "tribunal", "patio", "juzgado" ] }, "139": { "input": "church", "output": "iglesia", "possible_translations": [ "iglesia", "servicio religioso" ] }, "140": { "input": "attempt", "output": "atentado", "possible_translations": [ "ensayo", "tentativa", "intentar", "intento", "atentado", "tratar de" ] }, "141": { "input": "recording", "output": "grabación", "possible_translations": [ "grabación" ] }, "142": { "input": "sound", "output": "sonido", "possible_translations": [ "seno", "estrecho", "sonido", "sano", "sondear", "son", "sonda", "sonar" ] }, "143": { "input": "cast", "output": "reparto", "possible_translations": [ "castear", "sondear", "reparto", "elenco", "sondar", "escayola", "molde", "yeso" ] }, "144": { "input": "base", "output": "base", "possible_translations": [ "base", "basar", "bajo", "sede" ] }, "145": { "input": "interest", "output": "interés", "possible_translations": [ "interés", "interesar" ] }, "146": { "input": "term", "output": "término", "possible_translations": [ "semestre", "plazo", "términos", "término", "trimestre" ] }, "147": { "input": "post", "output": "poste", "possible_translations": [ "poste", "estaca" ] }, "148": { "input": "art", "output": "arte", "possible_translations": [ "arte" ] }, "149": { "input": "future", "output": "futuro", "possible_translations": [ "venidero", "porvenir", "futuro" ] }, "150": { "input": "league", "output": "legua", "possible_translations": [ "legua", "liga", "asociarse", "alianza" ] }, "151": { "input": "review", "output": "crítica", "possible_translations": [ "reseña", "revisión", "revisar", "revista", "repaso", "crítica", "reseñar", "repasar" ] }, "152": { "input": "section", "output": "sección", "possible_translations": [ "sección", "pelotón" ] }, "153": { "input": "cover", "output": "tapa", "possible_translations": [ "tapa", "sábana", "mencionar", "portada", "cobertor", "cubrir", "escondrijo", "abrigar", "guarida", "cubierto", "proteger", "cubierta", "colcha", "esconder", "ocultar", "apuntar" ] }, "154": { "input": "idea", "output": "idea", "possible_translations": [ "idea" ] }, "155": { "input": "football", "output": "fútbol", "possible_translations": [ "fútbol", "futbol ; balompié ; pambol" ] }, "156": { "input": "election", "output": "elección", "possible_translations": [ "elección" ] }, "157": { "input": "loss", "output": "pérdida", "possible_translations": [ "pérdida", "derrota" ] }, "158": { "input": "coast", "output": "costa", "possible_translations": [ "deslizar", "costa", "litoral", "perecear" ] }, "159": { "input": "person", "output": "persona", "possible_translations": [ "individuo", "persona" ] }, "160": { "input": "sea", "output": "mar", "possible_translations": [ "mar" ] }, "161": { "input": "gun", "output": "escopeta", "possible_translations": [ "balear", "pistola", "rifle", "escopeta", "obús", "disparar", "cañón" ] }, "162": { "input": "hand", "output": "mano", "possible_translations": [ "obrero", "mano de obra", "cacho", "entregar", "pasar", "manecilla", "dar", "mano", "puñado", "aguja", "manotada", "llevar" ] }, "163": { "input": "study", "output": "estudio", "possible_translations": [ "examinar", "estudio", "estudiar" ] }, "164": { "input": "response", "output": "respuesta", "possible_translations": [ "respuesta" ] }, "165": { "input": "star", "output": "estrella", "possible_translations": [ "estelarizar", "estrella", "protagonizar", "asterisco", "artista", "astro" ] }, "166": { "input": "decision", "output": "decisión", "possible_translations": [ "decisión" ] }, "167": { "input": "magazine", "output": "cargador", "possible_translations": [ "depósito", "revista", "cargador", "magacín" ] }, "168": { "input": "issue", "output": "emisión", "possible_translations": [ "herederos", "resultar", "descendencia", "extender", "progenie", "emitir", "entregar", "proceder", "emisión", "natar", "cuestión", "envío", "recibir", "lucrar", "crecer", "flujo", "problema", "preocupación" ] }, "169": { "input": "debut", "output": "debut", "possible_translations": [ "debut", "debutar" ] }, "170": { "input": "program", "output": "programa", "possible_translations": [ "programar", "programa" ] }, "171": { "input": "score", "output": "partitura", "possible_translations": [ "anotar", "tantos", "puntuar", "puntaje", "partitura" ] }, "172": { "input": "money", "output": "dinero", "possible_translations": [ "plata", "efectivo", "real", "dinero", "pisto", "cobres", "pasta", "lana" ] }, "173": { "input": "surface", "output": "superficie", "possible_translations": [ "superficie" ] }, "174": { "input": "community", "output": "comunidad", "possible_translations": [ "comunidad" ] }, "175": { "input": "length", "output": "largo", "possible_translations": [ "longitud", "eslora", "largo" ] }, "176": { "input": "bridge", "output": "puente", "possible_translations": [ "puente", "bóveda", "pasarela", "bridge" ] }, "177": { "input": "plan", "output": "plano", "possible_translations": [ "plan", "plano", "planear", "tener intención de" ] }, "178": { "input": "center", "output": "centro", "possible_translations": [ "concentrarse en", "promediar", "centro", "pívot", "centrar", "mediar", "central", "meollo" ] }, "179": { "input": "business", "output": "negocio", "possible_translations": [ "negocio", "empresa", "asunto" ] }, "180": { "input": "pressure", "output": "presión", "possible_translations": [ "presión" ] }, "181": { "input": "percent", "output": "por ciento", "possible_translations": [ "por ciento" ] }, "182": { "input": "speed", "output": "velocidad", "possible_translations": [ "velocidad", "rapidez" ] }, "183": { "input": "president", "output": "presidente", "possible_translations": [ "presidente", "presidenta", "presidente director" ] }, "184": { "input": "media", "output": "medios", "possible_translations": [ "medios de comunicación", "medios" ] }, "185": { "input": "summer", "output": "verano", "possible_translations": [ "verano", "veranear" ] }, "186": { "input": "material", "output": "material", "possible_translations": [ "material", "significativo" ] }, "187": { "input": "cut", "output": "corte", "possible_translations": [ "cortado", "colar", "cortar", "corte", "circuncidado", "faltar", "tallar", "incidir", "recortar", "atravesar", "tallado", "retirar" ] }, "188": { "input": "writer", "output": "escritor", "possible_translations": [ "escritor", "escritora" ] }, "189": { "input": "date", "output": "fecha", "possible_translations": [ "compañero", "cita", "fechar", "data", "fecha", "dátil", "compañera", "citar" ] }, "190": { "input": "influence", "output": "influencia", "possible_translations": [ "influenciar", "influencia", "influir" ] }, "191": { "input": "fleet", "output": "flota", "possible_translations": [ "flota" ] }, "192": { "input": "size", "output": "talla", "possible_translations": [ "medir", "ordenar por tamaño", "tamaño", "cola", "formar por tamaño", "sellar", "encolar", "sellador", "talla" ] }, "193": { "input": "structure", "output": "estructura", "possible_translations": [ "estructura" ] }, "194": { "input": "fact", "output": "hecho", "possible_translations": [ "hecho" ] }, "195": { "input": "past", "output": "pretérito", "possible_translations": [ "pretérito", "pasado" ] }, "196": { "input": "type", "output": "tipo", "possible_translations": [ "identificar el tipo de", "clase", "tipear", "teclear", "escribir a máquina", "mecanografiar", "tipo" ] }, "197": { "input": "daughter", "output": "hija", "possible_translations": [ "hija" ] }, "198": { "input": "car", "output": "coche", "possible_translations": [ "automóvil", "carro", "máquina", "auto", "coche" ] }, "199": { "input": "food", "output": "alimento", "possible_translations": [ "alimento", "comida" ] }, "200": { "input": "room", "output": "cuarto", "possible_translations": [ "habitación", "sala", "espacio", "recámara", "cuarto", "lugar", "pieza" ] }, "201": { "input": "movement", "output": "movimiento", "possible_translations": [ "movimiento" ] }, "202": { "input": "cost", "output": "costo", "possible_translations": [ "costo", "costar" ] }, "203": { "input": "river", "output": "río", "possible_translations": [ "río" ] }, "204": { "input": "contract", "output": "contrato", "possible_translations": [ "contratar", "contraer", "contrato" ] }, "205": { "input": "view", "output": "vista", "possible_translations": [ "mirada", "vista", "visión", "ver" ] }, "206": { "input": "language", "output": "lenguaje", "possible_translations": [ "lengua", "idioma", "lenguaje" ] }, "207": { "input": "self", "output": "yo", "possible_translations": [ "ser", "yo" ] }, "208": { "input": "course", "output": "curso", "possible_translations": [ "trayectoria", "curso", "perseguir", "plato", "ruta", "rumbo", "correr" ] }, "209": { "input": "experience", "output": "experiencia", "possible_translations": [ "experiencia", "vivencia", "vivir", "experimentar" ] }, "210": { "input": "producer", "output": "productor", "possible_translations": [ "productor" ] }, "211": { "input": "research", "output": "investigación", "possible_translations": [ "investigar", "investigación" ] }, "212": { "input": "radio", "output": "radio", "possible_translations": [ "radio" ] }, "213": { "input": "space", "output": "espacio", "possible_translations": [ "espacio" ] }, "214": { "input": "feature", "output": "característica", "possible_translations": [ "cualidad", "aparecer", "priorizar", "característica", "rasgo", "protagonizar", "atributo" ] }, "215": { "input": "division", "output": "división", "possible_translations": [ "división" ] }, "216": { "input": "effect", "output": "efecto", "possible_translations": [ "efectos especiales", "vigor", "efectuar", "efectos", "efecto", "vigencia" ] }, "217": { "input": "leader", "output": "líder", "possible_translations": [ "líder", "dirigente" ] }, "218": { "input": "woman", "output": "mujer", "possible_translations": [ "mujer" ] }, "219": { "input": "voice", "output": "voz", "possible_translations": [ "sonoro", "orden", "voto", "voz", "palabra" ] }, "220": { "input": "face", "output": "cara", "possible_translations": [ "cara", "gesto", "superficie", "lado", "enfrentarse", "enfrentar", "faz", "haz", "esfera", "frente", "imagen", "rostro", "encarar", "mueca", "mirar a", "cariz" ] }, "221": { "input": "gold", "output": "oro", "possible_translations": [ "oro", "diana", "medalla de oro", "moneda de oro", "dorado", "de oro" ] }, "222": { "input": "increase", "output": "aumento", "possible_translations": [ "aumentar", "aumento", "subir", "incremento", "incrementar" ] }, "223": { "input": "friend", "output": "novio", "possible_translations": [ "amigo", "aliado", "hacer amigos", "novia", "mijo", "conocido", "compadre", "amiga", "aliada", "amiguito", "novio", "fulano", "favorecer", "amistar" ] }, "224": { "input": "location", "output": "ubicación", "possible_translations": [ "posición", "lugar", "ubicación" ] }, "225": { "input": "status", "output": "estado", "possible_translations": [ "estado" ] }, "226": { "input": "child", "output": "niño", "possible_translations": [ "niña", "hija", "hijo", "infante", "niño" ] }, "227": { "input": "report", "output": "informe", "possible_translations": [ "presentarse", "informar", "informe", "rendir cuentas", "notificar", "ser responsable" ] }, "228": { "input": "village", "output": "aldea", "possible_translations": [ "pueblo", "aldea" ] }, "229": { "input": "manager", "output": "representante", "possible_translations": [ "director", "gestor", "representante", "gerente" ] }, "230": { "input": "majority", "output": "mayoría de edad", "possible_translations": [ "mayoría", "mayoría de edad" ] }, "231": { "input": "cause", "output": "causa", "possible_translations": [ "causar", "causa" ] }, "232": { "input": "act", "output": "acto", "possible_translations": [ "acto", "comportarse", "hecho", "ley", "actuar", "acción" ] }, "233": { "input": "minute", "output": "minuto", "possible_translations": [ "diminuto", "minutar", "minucioso", "menudo", "acta", "momento", "minuto" ] }, "234": { "input": "meeting", "output": "encuentro", "possible_translations": [ "mítin", "junta", "encuentro", "mitin", "reunión ; reunión", "reunión" ] }, "235": { "input": "park", "output": "parque", "possible_translations": [ "parque", "aparcar", "coto", "estacionar" ] }, "236": { "input": "nature", "output": "naturaleza", "possible_translations": [ "naturaleza" ] }, "237": { "input": "flight", "output": "vuelo", "possible_translations": [ "tramo", "huida", "fuga", "vuelo" ] }, "238": { "input": "information", "output": "información", "possible_translations": [ "información" ] }, "239": { "input": "fight", "output": "lucha", "possible_translations": [ "luchar", "combatir", "pelear", "lucha" ] }, "240": { "input": "defeat", "output": "vencimiento", "possible_translations": [ "vencimiento", "vencer", "derrotar", "derrota", "anular" ] }, "241": { "input": "singer", "output": "cantante", "possible_translations": [ "cantora", "cantor", "cantante" ] }, "242": { "input": "need", "output": "necesidad", "possible_translations": [ "necesidad", "necesidades", "necesitar" ] }, "243": { "input": "industry", "output": "industria", "possible_translations": [ "industria" ] }, "244": { "input": "guitar", "output": "guitarra", "possible_translations": [ "jarana", "guitarra" ] }, "245": { "input": "interview", "output": "entrevista", "possible_translations": [ "entrevistar", "entrevista" ] }, "246": { "input": "hour", "output": "hora", "possible_translations": [ "hora" ] }, "247": { "input": "audience", "output": "audiencia", "possible_translations": [ "público", "audiencia" ] }, "248": { "input": "education", "output": "educación", "possible_translations": [ "educación" ] }, "249": { "input": "attention", "output": "atención", "possible_translations": [ "atención" ] }, "250": { "input": "operation", "output": "operación", "possible_translations": [ "operación" ] }, "251": { "input": "reach", "output": "alcance", "possible_translations": [ "alcanzar", "alcance", "influencia", "llegar", "tender" ] }, "252": { "input": "officer", "output": "oficial", "possible_translations": [ "oficial" ] }, "253": { "input": "sister", "output": "hermana", "possible_translations": [ "hermana", "sor", "hermano" ] }, "254": { "input": "ability", "output": "capacidad", "possible_translations": [ "capacidad", "habilidad" ] }, "255": { "input": "depression", "output": "depresión", "possible_translations": [ "depresión" ] }, "256": { "input": "pop", "output": "papi", "possible_translations": [ "pum", "papi" ] }, "257": { "input": "deal", "output": "reparto", "possible_translations": [ "repartir", "asignar", "comerciar", "negocio", "tratar", "vender drogas", "acuerdo", "parte", "distribuir", "dedicarse", "transacción", "traficar", "reparto", "manejar", "lanzar", "ocuparse" ] }, "258": { "input": "ball", "output": "bola", "possible_translations": [ "bola", "círculo", "pelotas", "coger con", "pelota", "follar con", "esfera", "tirada", "baile", "cojones", "tirarse a", "agallas", "huevos", "bala", "balón" ] }, "259": { "input": "subject", "output": "sujeto", "possible_translations": [ "curso", "ramo", "someter", "asignatura", "sujeto", "tema", "materia", "súbdito" ] }, "260": { "input": "commander", "output": "comandante", "possible_translations": [ "comandante" ] }, "261": { "input": "rate", "output": "tasa", "possible_translations": [ "impuesto", "velocidad", "proporción", "tasa" ] }, "262": { "input": "produce", "output": "frutas y verduras", "possible_translations": [ "realizar", "producto", "frutas y verduras", "producir" ] }, "263": { "input": "competition", "output": "competencia", "possible_translations": [ "competición", "competencia" ] }, "264": { "input": "artist", "output": "artista", "possible_translations": [ "artista" ] }, "265": { "input": "energy", "output": "energía", "possible_translations": [ "energía" ] }, "266": { "input": "model", "output": "modelo", "possible_translations": [ "mostrar", "armar", "moldear", "modelar", "ejemplar", "proyectar", "maqueta", "modelo", "graficar", "ejemplo" ] }, "267": { "input": "theme", "output": "tema", "possible_translations": [ "thema", "tema" ] }, "268": { "input": "wind", "output": "flatulencia", "possible_translations": [ "enrollar", "serpentear", "flatulencia", "viento" ] }, "269": { "input": "pass", "output": "paso", "possible_translations": [ "ocurrir", "pasar", "pasaje", "paso", "aprobar", "suceder", "fallecer" ] }, "270": { "input": "plot", "output": "plano", "possible_translations": [ "trama", "trazar", "plano", "argumento", "conspirar", "gráfica", "lote", "diagrama", "complot", "solar", "tramar", "conspiración" ] }, "271": { "input": "access", "output": "acceso", "possible_translations": [ "acceder", "acceso" ] }, "272": { "input": "practice", "output": "práctica", "possible_translations": [ "practicar", "entrenar", "ejercer", "práctica" ] }, "273": { "input": "peak", "output": "cima", "possible_translations": [ "cima" ] }, "274": { "input": "capital", "output": "capital", "possible_translations": [ "capitel", "excelente", "capital", "mayúscula" ] }, "275": { "input": "word", "output": "palabra", "possible_translations": [ "vocablo", "redactar", "palabra" ] }, "276": { "input": "edition", "output": "edición", "possible_translations": [ "edición", "tiraje" ] }, "277": { "input": "script", "output": "escritura", "possible_translations": [ "escritura", "libreto", "escrito", "guion", "script" ] }, "278": { "input": "health", "output": "salud", "possible_translations": [ "salud", "sanidad" ] }, "279": { "input": "movie", "output": "película", "possible_translations": [ "película", "cine" ] }, "280": { "input": "network", "output": "red", "possible_translations": [ "red" ] }, "281": { "input": "board", "output": "tablero", "possible_translations": [ "pizarrón", "tablero", "bordo", "consejo", "abordar", "comité", "pizarra", "buró", "junta", "tabla", "embarcar" ] }, "282": { "input": "effort", "output": "ahínco", "possible_translations": [ "ahínco", "esfuerzo" ] }, "283": { "input": "press", "output": "prensa", "possible_translations": [ "oprimir", "prensar", "pres", "prensa", "presionar" ] }, "284": { "input": "marriage", "output": "unión", "possible_translations": [ "boda", "matrimonio", "unión" ] }, "285": { "input": "college", "output": "facultad", "possible_translations": [ "facultad" ] }, "286": { "input": "mass", "output": "masa", "possible_translations": [ "misa", "másico", "masa", "multitudinario", "masivo", "másica" ] }, "287": { "input": "culture", "output": "cultura", "possible_translations": [ "cultura", "cultivo" ] }, "288": { "input": "cyclone", "output": "ciclón", "possible_translations": [ "ciclón" ] }, "289": { "input": "variety", "output": "variedad", "possible_translations": [ "variedad" ] }, "290": { "input": "metal", "output": "metal", "possible_translations": [ "metal" ] }, "291": { "input": "combat", "output": "batalla", "possible_translations": [ "combatir", "batalla", "acción" ] }, "292": { "input": "market", "output": "mercado", "possible_translations": [ "mercado", "comercializar", "poner al mercado", "del mercado", "plaza" ] }, "293": { "input": "science", "output": "ciencia", "possible_translations": [ "ciencia", "conocimiento" ] }, "294": { "input": "source", "output": "fuente", "possible_translations": [ "fuente", "origen", "fontana", "código fuente" ] }, "295": { "input": "quality", "output": "calidad", "possible_translations": [ "cualidad", "calidad", "de calidad" ] }, "296": { "input": "fall", "output": "caída", "possible_translations": [ "descender", "caer", "caerse", "caída" ] }, "297": { "input": "presence", "output": "presencia", "possible_translations": [ "presencia" ] }, "298": { "input": "oil", "output": "aceite", "possible_translations": [ "aceite", "petróleo", "engrasar", "óleo", "aceitar" ] }, "299": { "input": "direction", "output": "dirección", "possible_translations": [ "dirección" ] }, "300": { "input": "break", "output": "quebrar", "possible_translations": [ "quebrar", "descomponer", "ruptura", "romperse", "descomponerse", "romper", "cambiar" ] }, "301": { "input": "rule", "output": "regla", "possible_translations": [ "regla", "mandar", "gobernar" ] }, "302": { "input": "enemy", "output": "enemigo", "possible_translations": [ "enemigo" ] }, "303": { "input": "yard", "output": "patio", "possible_translations": [ "patio", "yarda" ] }, "304": { "input": "concert", "output": "concierto", "possible_translations": [ "concertación", "concierto", "concertar" ] }, "305": { "input": "engine", "output": "motor", "possible_translations": [ "locomotora", "motor" ] }, "306": { "input": "traffic", "output": "tráfico", "possible_translations": [ "tránsito", "tráfico", "trata" ] }, "307": { "input": "advance", "output": "adelanto", "possible_translations": [ "avance", "adelanto" ] }, "308": { "input": "mission", "output": "misión", "possible_translations": [ "misión" ] }, "309": { "input": "portion", "output": "porción", "possible_translations": [ "porción" ] }, "310": { "input": "castle", "output": "castillo", "possible_translations": [ "castro", "castillo", "enrocarse" ] }, "311": { "input": "property", "output": "propiedad", "possible_translations": [ "propiedad", "cualidad", "posesión", "pertenecia", "finca", "bienes" ] }, "312": { "input": "pair", "output": "par", "possible_translations": [ "par", "emparejar" ] }, "313": { "input": "award", "output": "laudo", "possible_translations": [ "fallar", "decretar", "galardón", "premio", "laudo", "premiar", "galardonar", "sentenciar" ] }, "314": { "input": "impact", "output": "impacto", "possible_translations": [ "impacto", "efecto", "consecuencia" ] }, "315": { "input": "collection", "output": "colección", "possible_translations": [ "recogida", "conjunto", "colección", "recolección" ] }, "316": { "input": "call", "output": "llamada", "possible_translations": [ "llamarse", "visita", "gritar", "visitar", "canto", "convocatoria", "llamada", "llamar", "grito" ] }, "317": { "input": "port", "output": "puerto", "possible_translations": [ "puerto", "vino de Oporto", "a babor" ] }, "318": { "input": "approach", "output": "enfoque", "possible_translations": [ "planteamiento", "aproximarse a", "aproximarse", "acercarse", "aproximación", "acercamiento", "acercarse a", "enfoque" ] }, "319": { "input": "situation", "output": "localización", "possible_translations": [ "nivel", "situación", "ubicación", "puesto", "localización", "estado" ] }, "320": { "input": "distance", "output": "distancia", "possible_translations": [ "distancia", "alejar-se" ] }, "321": { "input": "amount", "output": "cantidad", "possible_translations": [ "cantidad", "monto" ] }, "322": { "input": "test", "output": "prueba", "possible_translations": [ "test", "prueba", "probar", "testear", "examinar", "examen" ] }, "323": { "input": "actor", "output": "actor", "possible_translations": [ "actor", "actriz" ] }, "324": { "input": "piece", "output": "pieza", "possible_translations": [ "pedazo", "pieza de artillería", "pieza", "trozo" ] }, "325": { "input": "dance", "output": "baile", "possible_translations": [ "danzar", "danza", "bailar", "baile" ] }, "326": { "input": "today", "output": "hoy", "possible_translations": [ "hoy día", "hoy en día", "actualmente", "hoy" ] }, "327": { "input": "train", "output": "tren", "possible_translations": [ "tren", "entrenarse", "entrenar" ] }, "328": { "input": "figure", "output": "figura", "possible_translations": [ "cifra", "figura", "ocurrírsele" ] }, "329": { "input": "trial", "output": "juicio", "possible_translations": [ "proceso", "prueba", "ensayo", "juicio", "trial", "tribulación", "experimento" ] }, "330": { "input": "concept", "output": "concepto", "possible_translations": [ "concepto" ] }, "331": { "input": "scale", "output": "escala", "possible_translations": [ "escalar", "escamar", "escama", "platillo", "escala", "gama", "balanza" ] }, "332": { "input": "society", "output": "sociedad", "possible_translations": [ "sociedad", "comunidad" ] }, "333": { "input": "job", "output": "tarea", "possible_translations": [ "pega", "empleo", "curro", "trabajo", "chamba", "laburo", "talacha", "tarea", "camello", "trabajar" ] }, "334": { "input": "chief", "output": "jefe", "possible_translations": [ "jefe" ] }, "335": { "input": "foot", "output": "pie", "possible_translations": [ "pie", "pata" ] }, "336": { "input": "author", "output": "autor", "possible_translations": [ "autora", "autor", "escribir", "escritor", "escritora" ] }, "337": { "input": "activity", "output": "actividad", "possible_translations": [ "actividad" ] }, "338": { "input": "policy", "output": "póliza", "possible_translations": [ "póliza", "política" ] }, "339": { "input": "cross", "output": "cruz", "possible_translations": [ "enfadado", "cruce", "cruzar", "de través", "pasar", "marcar con una cruz", "aspa", "contrario", "transversal", "atravesar", "persignarse", "atravesado", "santiguarse", "cruz" ] }, "340": { "input": "captain", "output": "capitán", "possible_translations": [ "capitanear", "capitán" ] }, "341": { "input": "theory", "output": "teoría", "possible_translations": [ "teoría" ] }, "342": { "input": "account", "output": "cuenta", "possible_translations": [ "cálculo", "reporte", "cuenta" ] }, "343": { "input": "strength", "output": "potencia", "possible_translations": [ "fuerza", "solidez", "potencia", "fortaleza", "fuerte", "intensidad" ] }, "344": { "input": "plant", "output": "planta", "possible_translations": [ "mata", "sembrar", "infiltrar", "colocar", "fabricación", "plantar", "planta", "vegetal" ] }, "345": { "input": "charge", "output": "figura", "possible_translations": [ "cargo", "atacar", "cargar", "figura" ] }, "346": { "input": "county", "output": "condado", "possible_translations": [ "condado" ] }, "347": { "input": "screen", "output": "pantalla", "possible_translations": [ "biombo", "malla", "criba", "tamiz", "filtrar", "tamizar", "pantalla", "mampara", "bloqueo" ] }, "348": { "input": "wall", "output": "pared", "possible_translations": [ "barrera", "pared", "muralla", "muro", "tabique", "murar", "amurallar" ] }, "349": { "input": "pilot", "output": "piloto", "possible_translations": [ "pilotar", "probar", "piloto" ] }, "350": { "input": "reception", "output": "recepción", "possible_translations": [ "recibimiento", "recepción", "cobertura" ] }, "351": { "input": "lot", "output": "destino", "possible_translations": [ "destino" ] }, "352": { "input": "winter", "output": "invierno", "possible_translations": [ "invernar", "invierno" ] }, "353": { "input": "wing", "output": "ala", "possible_translations": [ "ala", "improvisar", "aleta" ] }, "354": { "input": "focus", "output": "enfoque", "possible_translations": [ "enfocar", "hipocentro", "concentrarse", "foco", "punto focal", "centrarse en", "enfoque", "foco de atención" ] }, "355": { "input": "blood", "output": "sangre", "possible_translations": [ "ensangrentar", "lazo de sangre", "crúor", "sangre" ] }, "356": { "input": "weather", "output": "tiempo", "possible_translations": [ "tiempo" ] }, "357": { "input": "defense", "output": "defensa", "possible_translations": [ "defensa" ] }, "358": { "input": "student", "output": "estudiante", "possible_translations": [ "estudiante", "alumno", "alumna" ] }, "359": { "input": "artillery", "output": "artillería", "possible_translations": [ "artillería" ] }, "360": { "input": "district", "output": "distrito", "possible_translations": [ "distrito" ] }, "361": { "input": "image", "output": "imagen", "possible_translations": [ "imagen" ] }, "362": { "input": "share", "output": "participación", "possible_translations": [ "compartir", "participación", "dar", "dividir", "acción" ] }, "363": { "input": "border", "output": "cenefa", "possible_translations": [ "orla", "parterre", "cenefa", "frontera", "borde" ] }, "364": { "input": "capture", "output": "captura", "possible_translations": [ "captura", "capturar" ] }, "365": { "input": "injury", "output": "herida", "possible_translations": [ "herida", "lesión" ] }, "366": { "input": "equipment", "output": "equipamiento", "possible_translations": [ "equipamiento", "equipo" ] }, "367": { "input": "organization", "output": "organización", "possible_translations": [ "organización" ] }, "368": { "input": "stone", "output": "piedra", "possible_translations": [ "apedrear", "pétreo", "roca", "gema", "piedra preciosa", "piedra", "lapidar", "cálculo", "de piedra", "hueso" ] }, "369": { "input": "quarter", "output": "cuarto", "possible_translations": [ "cuartel", "cuartear", "trimestre", "cuarto" ] }, "370": { "input": "growth", "output": "crecimiento", "possible_translations": [ "crecimiento" ] }, "371": { "input": "box", "output": "caja", "possible_translations": [ "caja", "boxear", "garita", "cajón", "encajonar", "boj", "marco", "puñetazo", "tele", "palco" ] }, "372": { "input": "husband", "output": "marido", "possible_translations": [ "esposo", "ahorrar", "marido", "manejar con economía" ] }, "373": { "input": "matter", "output": "materia", "possible_translations": [ "importar", "materia", "asunto" ] }, "374": { "input": "content", "output": "contenido", "possible_translations": [ "contenido", "contentar", "contento" ] }, "375": { "input": "travel", "output": "viaje", "possible_translations": [ "viaje", "viajar", "recorrer", "viajar por" ] }, "376": { "input": "heart", "output": "corazón", "possible_translations": [ "coraje", "corazón", "copas", "corazones" ] }, "377": { "input": "tournament", "output": "torneo", "possible_translations": [ "campeonato", "justa", "torneo" ] }, "378": { "input": "conflict", "output": "discrepancia", "possible_translations": [ "discrepancia", "coincidir", "discrepar estar reñido", "conflicto" ] }, "379": { "input": "couple", "output": "un par de", "possible_translations": [ "par", "pareja", "acoplar", "unos", "un par de" ] }, "380": { "input": "reference", "output": "referencia", "possible_translations": [ "referencia" ] }, "381": { "input": "speech", "output": "discurso", "possible_translations": [ "discurso", "habla" ] }, "382": { "input": "territory", "output": "territorio", "possible_translations": [ "territorio" ] }, "383": { "input": "camp", "output": "campamento", "possible_translations": [ "bando", "amanerado estilo camp", "facción", "acampar", "maricón", "campamento", "maricona" ] }, "384": { "input": "value", "output": "valor", "possible_translations": [ "importancia", "apreciar", "valor", "valorar" ] }, "385": { "input": "championship", "output": "campeonato", "possible_translations": [ "campeonato" ] }, "386": { "input": "treatment", "output": "tratamiento", "possible_translations": [ "trato", "tratamiento" ] }, "387": { "input": "university", "output": "universidad", "possible_translations": [ "universidad" ] }, "388": { "input": "machine", "output": "máquina", "possible_translations": [ "máquina" ] }, "389": { "input": "guest", "output": "huésped", "possible_translations": [ "huésped" ] }, "390": { "input": "problem", "output": "problema", "possible_translations": [ "lío", "ejercicio", "bronca", "dificultad", "problema", "embrollo" ] }, "391": { "input": "reason", "output": "razón", "possible_translations": [ "razonar", "razón", "razón ; causa" ] }, "392": { "input": "horse", "output": "caballo", "possible_translations": [ "equino", "caballo", "potro", "yegua", "caballería", "equina" ] }, "393": { "input": "governor", "output": "gobernador", "possible_translations": [ "gobernadora", "gobernador" ] }, "394": { "input": "soundtrack", "output": "banda sonora", "possible_translations": [ "banda sonora" ] }, "395": { "input": "offer", "output": "oferta", "possible_translations": [ "oferta", "ofrecimiento", "presentar", "ofrecer" ] }, "396": { "input": "senior", "output": "señor", "possible_translations": [ "señor" ] }, "397": { "input": "background", "output": "segundo plano", "possible_translations": [ "antecedente", "formación", "fondo", "segundo plano" ] }, "398": { "input": "degree", "output": "grado", "possible_translations": [ "grado", "título", "diploma" ] }, "399": { "input": "railway", "output": "vía férrea", "possible_translations": [ "vía férrea", "vía", "riel", "ferrocarril" ] }, "400": { "input": "authority", "output": "autoridad", "possible_translations": [ "autoridad" ] }, "401": { "input": "birth", "output": "nacimiento", "possible_translations": [ "nacimiento" ] }, "402": { "input": "vote", "output": "voto", "possible_translations": [ "votar", "voto" ] }, "403": { "input": "filming", "output": "filmación", "possible_translations": [ "filmación" ] }, "404": { "input": "escape", "output": "escape", "possible_translations": [ "eludir", "abortar", "salvarse", "liberación", "tronar", "* fugarse", "evadir", "escapar", "detener", "escapada", "escape", "escaparse", "esconderse", "fuga", "cancelar", "liberarse", "escapatorio" ] }, "405": { "input": "capacity", "output": "capacidad", "possible_translations": [ "capacidad" ] }, "406": { "input": "basis", "output": "base", "possible_translations": [ "base" ] }, "407": { "input": "fiction", "output": "ficción", "possible_translations": [ "ficción" ] }, "408": { "input": "sequence", "output": "secuencia", "possible_translations": [ "secuencia" ] }, "409": { "input": "weight", "output": "peso", "possible_translations": [ "pesa", "pesar", "masa", "peso", "ponderar" ] }, "410": { "input": "newspaper", "output": "periódico", "possible_translations": [ "papel de periódico", "periódico" ] }, "411": { "input": "squadron", "output": "escuadrón", "possible_translations": [ "escuadra", "cuadrilla", "escuadrón" ] }, "412": { "input": "risk", "output": "riesgo", "possible_translations": [ "arriesgar", "riesgo", "poner en riesgo", "peligro" ] }, "413": { "input": "care", "output": "atención", "possible_translations": [ "gustar", "cuidar", "atención", "importar", "interesar", "esmero", "cuidado" ] }, "414": { "input": "agreement", "output": "acuerdo", "possible_translations": [ "concordancia", "convenio", "acuerdo", "contrato" ] }, "415": { "input": "contrast", "output": "contraste", "possible_translations": [ "contraste", "contrastar" ] }, "416": { "input": "failure", "output": "fallo", "possible_translations": [ "fallo", "fracasado", "avería", "fracaso" ] }, "417": { "input": "nation", "output": "nación", "possible_translations": [ "nación" ] }, "418": { "input": "eye", "output": "ojo", "possible_translations": [ "ojo del huracán", "ojo" ] }, "419": { "input": "threat", "output": "amenaza", "possible_translations": [ "amenaza" ] }, "420": { "input": "claim", "output": "concesión", "possible_translations": [ "concesión", "hacer una reclamación", "demandar", "afirmar", "reclamar", "afirmación", "demanda", "sostener", "reclamación" ] }, "421": { "input": "supply", "output": "oferta", "possible_translations": [ "oferta", "suministrar", "abastecimiento", "suplir", "proveer", "municionar", "útil", "suplente", "equipar", "provisiones", "abasto", "abastecer", "suministro" ] }, "422": { "input": "disease", "output": "enfermedad", "possible_translations": [ "enfermedad" ] }, "423": { "input": "draft", "output": "borrador", "possible_translations": [ "reclutamiento", "conscripción", "leva", "de grifo", "esbozo", "reclutar", "de baril", "borrador" ] }, "424": { "input": "bill", "output": "cartel", "possible_translations": [ "nota", "cartel", "pico", "proyecto de ley", "letra", "proposición de ley", "declaración", "factura" ] }, "425": { "input": "tower", "output": "torre", "possible_translations": [ "torre", "la casa de dios" ] }, "426": { "input": "administration", "output": "administración", "possible_translations": [ "administración" ] }, "427": { "input": "personnel", "output": "personal", "possible_translations": [ "personal" ] }, "428": { "input": "expansion", "output": "expansión", "possible_translations": [ "expansión", "dilatación" ] }, "429": { "input": "hospital", "output": "hospital", "possible_translations": [ "hospital" ] }, "430": { "input": "leadership", "output": "liderazgo", "possible_translations": [ "liderazgo", "caudillaje" ] }, "431": { "input": "ring", "output": "anillo", "possible_translations": [ "ring", "llamar por teléfono", "telefonear", "pista", "banda", "aro", "anillo", "anilla", "rosca", "sonar", "sortija" ] }, "432": { "input": "management", "output": "administración", "possible_translations": [ "administración", "gestión" ] }, "433": { "input": "landing", "output": "rellano", "possible_translations": [ "rellano", "aterrizaje", "muelle", "descansillo" ] }, "434": { "input": "data", "output": "datos", "possible_translations": [ "datos" ] }, "435": { "input": "choice", "output": "opción", "possible_translations": [ "decisión", "exquisito", "opción", "selección", "elección" ] }, "436": { "input": "northwest", "output": "noroeste", "possible_translations": [ "noroeste", "del noroeste" ] }, "437": { "input": "silver", "output": "plateado", "possible_translations": [ "de plata", "plateado", "plata", "plata labrada", "blanco", "platería", "argentino" ] }, "438": { "input": "crossing", "output": "cruce", "possible_translations": [ "cruce peatonal", "vado", "cruce" ] }, "439": { "input": "fuel", "output": "combustible", "possible_translations": [ "combustible" ] }, "440": { "input": "contact", "output": "contacto", "possible_translations": [ "contactar", "entrar en contacto con", "contacto" ] }, "441": { "input": "gas", "output": "gas", "possible_translations": [ "echar gasolina", "acelerar", "repostar", "llenar el tanque", "gas" ] }, "442": { "input": "girl", "output": "aniñado", "possible_translations": [ "lola", "mujer", "nena", "niñita", "chica", "aniñado", "cabra", "jotito", "muchacha", "mujercita", "niña", "maricón", "chiquilla", "chamaca" ] }, "443": { "input": "split", "output": "espagat", "possible_translations": [ "repartir", "escisión", "espagat", "partir", "escindir", "fisura", "separar", "dividir" ] }, "444": { "input": "committee", "output": "comité", "possible_translations": [ "comité" ] }, "445": { "input": "drama", "output": "drama", "possible_translations": [ "drama", "obra teatral" ] }, "446": { "input": "sex", "output": "sexo", "possible_translations": [ "género", "sexar", "sexual", "sexo", "relaciones sexuales" ] }, "447": { "input": "spring", "output": "resorte", "possible_translations": [ "manantial", "resorte", "muelle", "fuente", "origen", "saltar", "primavera" ] }, "448": { "input": "article", "output": "artículo", "possible_translations": [ "artículo", "objecto" ] }, "449": { "input": "animal", "output": "animal", "possible_translations": [ "bestia", "animal" ] }, "450": { "input": "comedy", "output": "comedia", "possible_translations": [ "comedia" ] }, "451": { "input": "paper", "output": "papel académico", "possible_translations": [ "artículo científico", "artículo", "papel académico", "papel", "de papel" ] }, "452": { "input": "leg", "output": "pierna", "possible_translations": [ "etapa", "cateto", "pierna", "pata" ] }, "453": { "input": "genus", "output": "género", "possible_translations": [ "género" ] }, "454": { "input": "flag", "output": "bandera", "possible_translations": [ "enlosar", "flaquear", "lirio", "bandera", "desfallecer", "parar", "piedra", "losa", "señalar", "marcar o señalar con una bandera" ] }, "455": { "input": "interchange", "output": "intercambio", "possible_translations": [ "transbordo", "intercambio", "transbordos", "reemplazar", "intercambios", "intercambiar" ] }, "456": { "input": "purpose", "output": "propósito", "possible_translations": [ "decisión", "razón", "intención", "determinación", "objeto", "propósito", "proponerse", "resolución", "objetivo", "tema" ] }, "457": { "input": "security", "output": "seguridad", "possible_translations": [ "prenda", "certificado", "confianza", "documento", "respaldo", "garantía", "seguridad", "título de propiedad" ] }, "458": { "input": "infantry", "output": "infantería", "possible_translations": [ "regimiento de infantería", "tercio", "infantería" ] }, "459": { "input": "search", "output": "búsqueda", "possible_translations": [ "inspeccionar", "cachear", "buscar", "búsqueda", "sondear buscando" ] }, "460": { "input": "incident", "output": "incidente", "possible_translations": [ "incidente" ] }, "461": { "input": "mind", "output": "mente", "possible_translations": [ "juicio", "concentración", "ánimo", "propósito", "mente", "cordura", "voluntad", "opinión" ] }, "462": { "input": "battalion", "output": "batallón", "possible_translations": [ "batallón" ] }, "463": { "input": "text", "output": "texto", "possible_translations": [ "texto", "mensaje de texto", "SMS", "textear", "mensaje" ] }, "464": { "input": "finish", "output": "meta", "possible_translations": [ "finalizar", "meta", "fin", "acabarse", "terminar", "terminarse", "acabar" ] }, "465": { "input": "critic", "output": "crítico", "possible_translations": [ "crítico" ] }, "466": { "input": "creation", "output": "creación", "possible_translations": [ "creación" ] }, "467": { "input": "mile", "output": "milla", "possible_translations": [ "milla" ] }, "468": { "input": "budget", "output": "presupuesto", "possible_translations": [ "presupuestar", "presupuesto", "presuuesto" ] }, "469": { "input": "flooding", "output": "anegamiento", "possible_translations": [ "anegamiento" ] }, "470": { "input": "tradition", "output": "tradición", "possible_translations": [ "tradición" ] }, "471": { "input": "arrival", "output": "llegada", "possible_translations": [ "venida", "llegada", "arribo" ] }, "472": { "input": "ceremony", "output": "ceremonia", "possible_translations": [ "ceremonia" ] }, "473": { "input": "condition", "output": "condición", "possible_translations": [ "situación", "condición" ] }, "474": { "input": "thing", "output": "cosa", "possible_translations": [ "cosa" ] }, "475": { "input": "color", "output": "color", "possible_translations": [ "en color", "ponerse colorado", "teñir", "colorar", "colorear", "color" ] }, "476": { "input": "intensity", "output": "intensidad", "possible_translations": [ "intensidad" ] }, "477": { "input": "street", "output": "calle", "possible_translations": [ "calle" ] }, "478": { "input": "session", "output": "sesión", "possible_translations": [ "sesión" ] }, "479": { "input": "wave", "output": "onda", "possible_translations": [ "hacer señal", "abanicar", "onda", "ondular", "ola", "agitar" ] }, "480": { "input": "piano", "output": "piano", "possible_translations": [ "piano" ] }, "481": { "input": "criticism", "output": "crítica", "possible_translations": [ "crítica" ] }, "482": { "input": "planet", "output": "planeta", "possible_translations": [ "planeta" ] }, "483": { "input": "reign", "output": "reinado", "possible_translations": [ "reinado", "reinar" ] }, "484": { "input": "murder", "output": "asesinato", "possible_translations": [ "devorar", "asesinato", "asesinar" ] }, "485": { "input": "selection", "output": "selección", "possible_translations": [ "selección" ] }, "486": { "input": "computer", "output": "computador", "possible_translations": [ "computador", "calculador" ] }, "487": { "input": "council", "output": "concejo", "possible_translations": [ "concejo" ] }, "488": { "input": "peace", "output": "paz", "possible_translations": [ "sosiego", "paz" ] }, "489": { "input": "opportunity", "output": "oportunidad", "possible_translations": [ "oportunidad" ] }, "490": { "input": "question", "output": "duda", "possible_translations": [ "poner en tela de juicio", "dudar", "cuestionar", "interrogante", "cuestión", "pregunta", "moción", "consultar", "preguntar", "incógnita", "tema", "duda", "interrogar", "asunto", "tópico" ] }, "491": { "input": "analysis", "output": "análisis", "possible_translations": [ "análisis" ] }, "492": { "input": "shooting", "output": "tiroteo", "possible_translations": [ "tiro", "tiroteo" ] }, "493": { "input": "display", "output": "espectáculo", "possible_translations": [ "monitor", "aparador", "exhibir", "espectáculo", "exposición" ] }, "494": { "input": "deck", "output": "piso", "possible_translations": [ "terraza", "plataforma", "baraja", "piso", "cubierta", "balcón" ] }, "495": { "input": "advantage", "output": "ventaja", "possible_translations": [ "provecho", "ventaja", "beneficio" ] }, "496": { "input": "conference", "output": "conferencia", "possible_translations": [ "conferencia" ] }, "497": { "input": "fan", "output": "fan", "possible_translations": [ "fan", "seguidor", "hincha", "abanico", "abanicar", "aficionado", "ventilador", "ventilar" ] }, "498": { "input": "prison", "output": "cárcel", "possible_translations": [ "penitenciaría", "cárcel", "prisión" ] }, "499": { "input": "host", "output": "anfitrión", "possible_translations": [ "propietario", "organizador", "anfitriona", "conductor", "anfitrión", "hospedador", "maestro de ceremonias", "hospedante", "alojar", "huésped", "hospedero", "presentador" ] }, "500": { "input": "volume", "output": "volumen", "possible_translations": [ "volumen" ] }, "501": { "input": "protection", "output": "protección", "possible_translations": [ "protección" ] }, "502": { "input": "target", "output": "blanco", "possible_translations": [ "objetivo", "blanco" ] }, "503": { "input": "expedition", "output": "expedición", "possible_translations": [ "expedición" ] }, "504": { "input": "publication", "output": "publicación", "possible_translations": [ "publicación" ] }, "505": { "input": "temperature", "output": "fiebre", "possible_translations": [ "temperatura", "fiebre" ] }, "506": { "input": "economy", "output": "economía", "possible_translations": [ "economía" ] }, "507": { "input": "brief", "output": "resumen", "possible_translations": [ "corto", "sucinto", "poner al tanto", "breve", "resumen", "conciso" ] }, "508": { "input": "edge", "output": "ventaja", "possible_translations": [ "orilla", "lado", "arista", "borde", "filo", "ventaja" ] }, "509": { "input": "intersection", "output": "intersección", "possible_translations": [ "intersección", "cruce" ] }, "510": { "input": "motion", "output": "movimiento", "possible_translations": [ "moción", "movimiento" ] }, "511": { "input": "chance", "output": "probabilidad", "possible_translations": [ "azar", "posibilidad", "probabilidad", "oportunidad", "chance", "suerte" ] }, "512": { "input": "label", "output": "etiqueta", "possible_translations": [ "etiquetar", "rotular", "etiqueta", "rótulo" ] }, "513": { "input": "gain", "output": "ganancia", "possible_translations": [ "ganancia", "ganar" ] }, "514": { "input": "element", "output": "elemento", "possible_translations": [ "elemento" ] }, "515": { "input": "rear", "output": "posterior", "possible_translations": [ "criar", "erigir", "posterior", "retaguardia" ] }, "516": { "input": "literature", "output": "literatura", "possible_translations": [ "literatura" ] }, "517": { "input": "strike", "output": "huelga", "possible_translations": [ "parar el trabajo", "huelga", "ocurrirse", "bajar", "parecer", "golpear", "tachar", "hacer la huelga", "borrar", "arriar", "pegar" ] }, "518": { "input": "technology", "output": "tecnología", "possible_translations": [ "tecnología" ] }, "519": { "input": "adult", "output": "adulto", "possible_translations": [ "adulto", "adulta" ] }, "520": { "input": "gameplay", "output": "jugabilidad", "possible_translations": [ "jugabilidad" ] }, "521": { "input": "resistance", "output": "resistencia", "possible_translations": [ "resistencia" ] }, "522": { "input": "launch", "output": "lanzamiento", "possible_translations": [ "botar", "lanzamiento", "lancha", "lancear", "lanzar" ] }, "523": { "input": "shape", "output": "forma", "possible_translations": [ "forma" ] }, "524": { "input": "sign", "output": "signo", "possible_translations": [ "signar", "señal", "presagio", "signo del zodiaco", "lengua de signos", "signo", "letrero", "símbolo", "aviso", "lengua de señas", "firmar", "hablar a señas", "muestra", "señalización", "seña", "placa" ] }, "525": { "input": "tax", "output": "impuesto", "possible_translations": [ "impuesto", "tasa" ] }, "526": { "input": "agent", "output": "agente", "possible_translations": [ "agente" ] }, "527": { "input": "popularity", "output": "popularidad", "possible_translations": [ "popularidad" ] }, "528": { "input": "reaction", "output": "reacción", "possible_translations": [ "reacción" ] }, "529": { "input": "editor", "output": "montador", "possible_translations": [ "director", "montador", "directora", "editor", "redactora", "redactor", "montadora" ] }, "530": { "input": "reputation", "output": "reputación", "possible_translations": [ "reputación" ] }, "531": { "input": "estate", "output": "finca", "possible_translations": [ "finca" ] }, "532": { "input": "poem", "output": "poema", "possible_translations": [ "poema", "oda", "poesía" ] }, "533": { "input": "southeast", "output": "sureste", "possible_translations": [ "sureste", "del sudeste", "sudeste" ] }, "534": { "input": "height", "output": "altura", "possible_translations": [ "cumbre", "altura" ] }, "535": { "input": "alternative", "output": "alternativo", "possible_translations": [ "alternativo", "alternativa" ] }, "536": { "input": "franchise", "output": "franquicia", "possible_translations": [ "franquicia" ] }, "537": { "input": "opinion", "output": "opinión", "possible_translations": [ "opinión", "conclusiones" ] }, "538": { "input": "steel", "output": "acero", "possible_translations": [ "acero" ] }, "539": { "input": "cricket", "output": "críquet", "possible_translations": [ "críquet", "grillo", "cricket" ] }, "540": { "input": "lap", "output": "regazo", "possible_translations": [ "vuelta", "dobladillo", "regazo" ] }, "541": { "input": "safety", "output": "seguridad", "possible_translations": [ "seguridad", "seguro" ] }, "542": { "input": "existence", "output": "existencia", "possible_translations": [ "existencia" ] }, "543": { "input": "introduction", "output": "introducción", "possible_translations": [ "introducción" ] }, "544": { "input": "promotion", "output": "ascenso", "possible_translations": [ "ascenso", "propagación", "promoción", "divulgación" ] }, "545": { "input": "branch", "output": "rama", "possible_translations": [ "rama", "ramificar", "ramo", "sucursal" ] }, "546": { "input": "product", "output": "producto", "possible_translations": [ "producto" ] }, "547": { "input": "exchange", "output": "intercambio", "possible_translations": [ "canjear", "intercambio", "intercambiar", "cambiar" ] }, "548": { "input": "defence", "output": "defensa", "possible_translations": [ "defensa" ] }, "549": { "input": "baseball", "output": "béisbol", "possible_translations": [ "béisbol" ] }, "550": { "input": "mouth", "output": "boca", "possible_translations": [ "desembocadura", "boca", "orificio", "entrada" ] }, "551": { "input": "request", "output": "solicitud", "possible_translations": [ "demandar", "demanda", "solicitar", "pedir", "solicitud", "petición" ] }, "552": { "input": "moment", "output": "momento", "possible_translations": [ "momento" ] }, "553": { "input": "freeway", "output": "autopista", "possible_translations": [ "autopista" ] }, "554": { "input": "crowd", "output": "montón", "possible_translations": [ "multitud", "vulgo", "muchedumbre", "montón", "amasijo", "turba" ] }, "555": { "input": "settlement", "output": "acuerdo", "possible_translations": [ "acuerdo", "poblado", "asentamiento" ] }, "556": { "input": "note", "output": "nota", "possible_translations": [ "nota", "tener en cuenta", "anotar", "billete", "denotar", "notar" ] }, "557": { "input": "description", "output": "señalamiento", "possible_translations": [ "señalamiento", "descripción" ] }, "558": { "input": "method", "output": "método", "possible_translations": [ "method", "método" ] }, "559": { "input": "iron", "output": "hierro", "possible_translations": [ "plancha", "planchar", "férreo", "hierro" ] }, "560": { "input": "composition", "output": "composición", "possible_translations": [ "redacción", "composición" ] }, "561": { "input": "reserve", "output": "reserva", "possible_translations": [ "reserva", "reservar" ] }, "562": { "input": "knowledge", "output": "conocimiento", "possible_translations": [ "sabiduría", "conocimientos", "conocimiento" ] }, "563": { "input": "bank", "output": "banco", "possible_translations": [ "bajío", "sucursal", "ladear", "depositar", "amontonar", "almacén", "banco", "ribera", "teclado", "ladearse", "tener la cuenta en", "hilera", "talud", "orilla", "ladeo", "banca", "ahorrar", "terraplén", "ingresar", "apilar" ] }, "564": { "input": "statement", "output": "declaración", "possible_translations": [ "declaración", "resumen", "instrucción" ] }, "565": { "input": "southwest", "output": "suroeste", "possible_translations": [ "del sudoeste", "suroeste" ] }, "566": { "input": "rain", "output": "lluvia", "possible_translations": [ "lluvia", "llover" ] }, "567": { "input": "violence", "output": "violencia", "possible_translations": [ "violencia" ] }, "568": { "input": "function", "output": "función", "possible_translations": [ "cargo", "función", "fungir", "funcionar" ] }, "569": { "input": "assault", "output": "asalto", "possible_translations": [ "acometimiento", "asalto", "atacar", "asaltar" ] }, "570": { "input": "battery", "output": "pila", "possible_translations": [ "golpes", "lesiones", "pila", "batería" ] }, "571": { "input": "coal", "output": "carbón", "possible_translations": [ "carbón", "brasa" ] }, "572": { "input": "candidate", "output": "candidato", "possible_translations": [ "candidato" ] }, "573": { "input": "table", "output": "tablas", "possible_translations": [ "mesa", "traer a discusión", "tabla", "posponer", "tabular", "tablas", "poner sobre la mesa" ] }, "574": { "input": "distribution", "output": "distribución", "possible_translations": [ "distribución" ] }, "575": { "input": "independence", "output": "independencia", "possible_translations": [ "independencia" ] }, "576": { "input": "entrance", "output": "entrada", "possible_translations": [ "encantar", "entrada" ] }, "577": { "input": "forest", "output": "bosque", "possible_translations": [ "bosque", "floresta", "selva" ] }, "578": { "input": "camera", "output": "cámara", "possible_translations": [ "cámara", "videocámara" ] }, "579": { "input": "stadium", "output": "estadio", "possible_translations": [ "estadio" ] }, "580": { "input": "appeal", "output": "apelación", "possible_translations": [ "apelar", "atraer", "apelación" ] }, "581": { "input": "campus", "output": "campus", "possible_translations": [ "campus" ] }, "582": { "input": "landfall", "output": "recalada", "possible_translations": [ "tocar tierra", "aterrada", "recalada" ] }, "583": { "input": "cell", "output": "célula", "possible_translations": [ "célula", "bartolina", "teléfono móvil", "celular", "celda", "móvil", "teléfono celular" ] }, "584": { "input": "decade", "output": "década", "possible_translations": [ "década", "decenio" ] }, "585": { "input": "boy", "output": "niño", "possible_translations": [ "chico", "varón", "muchacho", "¿varón o mujer?", "niño", "chaval" ] }, "586": { "input": "winner", "output": "ganador", "possible_translations": [ "ganadora", "vencedor", "ganador" ] }, "587": { "input": "evening", "output": "crepúsculo", "possible_translations": [ "crepúsculo", "tarde" ] }, "588": { "input": "investigation", "output": "investigación", "possible_translations": [ "investigación" ] }, "589": { "input": "message", "output": "mensaje", "possible_translations": [ "recado", "mensaje" ] }, "590": { "input": "proposal", "output": "propuesta", "possible_translations": [ "propuesta" ] }, "591": { "input": "trip", "output": "tropezar", "possible_translations": [ "viaje", "hacer topezar", "tropezar" ] }, "592": { "input": "bit", "output": "bocado", "possible_translations": [ "bocado", "broca" ] }, "593": { "input": "duty", "output": "deber", "possible_translations": [ "arancel", "obligación", "deber" ] }, "594": { "input": "bomb", "output": "bomba", "possible_translations": [ "bomba", "hacer la bomba", "bombardear", "bombear" ] }, "595": { "input": "phase", "output": "fase", "possible_translations": [ "fase" ] }, "596": { "input": "religion", "output": "religión", "possible_translations": [ "religión" ] }, "597": { "input": "hair", "output": "pelo", "possible_translations": [ "pelo", "cabello" ] }, "598": { "input": "controversy", "output": "controversia", "possible_translations": [ "polémica", "controversia" ] }, "599": { "input": "hall", "output": "pasillo", "possible_translations": [ "salón", "pasillo" ] }, "600": { "input": "tail", "output": "nalgas", "possible_translations": [ "cola", "nalgas" ] }, "601": { "input": "actress", "output": "actriz", "possible_translations": [ "actriz" ] }, "602": { "input": "bird", "output": "pájaro", "possible_translations": [ "muchacha chica", "pájaro", "ave" ] }, "603": { "input": "owner", "output": "propietario", "possible_translations": [ "propietario", "dueño", "poseedor" ] }, "604": { "input": "steam", "output": "vapor", "possible_translations": [ "vapor" ] }, "605": { "input": "opera", "output": "ópera", "possible_translations": [ "ópera" ] }, "606": { "input": "entry", "output": "entrada", "possible_translations": [ "elemento", "artículo", "entrada", "recibidor", "vestíbulo", "registro", "acceso" ] }, "607": { "input": "crime", "output": "delincuencia", "possible_translations": [ "delincuencia", "criminalidad", "delito" ] }, "608": { "input": "composer", "output": "compositor", "possible_translations": [ "compositora", "compositor" ] }, "609": { "input": "transfer", "output": "transferencia", "possible_translations": [ "calcar", "transferir", "impreso", "transferencia", "calco", "imprimir" ] }, "610": { "input": "price", "output": "precio", "possible_translations": [ "precio" ] }, "611": { "input": "mountain", "output": "montón", "possible_translations": [ "montaña", "montón" ] }, "612": { "input": "extension", "output": "extensión", "possible_translations": [ "extensión" ] }, "613": { "input": "roof", "output": "techo", "possible_translations": [ "techar", "techo", "tejado" ] }, "614": { "input": "identity", "output": "identidad", "possible_translations": [ "identidad" ] }, "615": { "input": "bottom", "output": "fondo", "possible_translations": [ "culo", "fondo", "pasivo" ] }, "616": { "input": "zone", "output": "zona", "possible_translations": [ "zona", "declarar", "dividir en zonas" ] }, "617": { "input": "challenge", "output": "desafío", "possible_translations": [ "retar", "desafiar", "reto", "desafío" ] }, "618": { "input": "lane", "output": "carrera", "possible_translations": [ "carril", "camino", "canal", "calle", "carrera" ] }, "619": { "input": "rail", "output": "carril", "possible_translations": [ "carril", "barandal", "carrilera", "riel", "rascón" ] }, "620": { "input": "principal", "output": "director", "possible_translations": [ "jefe de estudios", "director", "principal de escuela", "principal" ] }, "621": { "input": "hotel", "output": "hotel", "possible_translations": [ "albergue", "hotel" ] }, "622": { "input": "relief", "output": "relieve", "possible_translations": [ "relevo", "alivio", "desahogo", "asistencia", "auxilio", "relieve", "ayuda humanitaria" ] }, "623": { "input": "debate", "output": "debate", "possible_translations": [ "debate", "debatir" ] }, "624": { "input": "depth", "output": "profundidad", "possible_translations": [ "profundidad" ] }, "625": { "input": "purchase", "output": "compra", "possible_translations": [ "compra", "adquisición", "comprar" ] }, "626": { "input": "departure", "output": "partida", "possible_translations": [ "partida", "salida" ] }, "627": { "input": "income", "output": "ingreso", "possible_translations": [ "ingreso" ] }, "628": { "input": "decline", "output": "declinación", "possible_translations": [ "rechazar", "declinar", "declinación" ] }, "629": { "input": "accident", "output": "accidente", "possible_translations": [ "accidente" ] }, "630": { "input": "connection", "output": "llamada", "possible_translations": [ "vinculación", "conexión", "llamada", "confianza" ] }, "631": { "input": "mode", "output": "moda", "possible_translations": [ "moda" ] }, "632": { "input": "progress", "output": "progreso", "possible_translations": [ "progresar", "progreso" ] }, "633": { "input": "sequel", "output": "secuela", "possible_translations": [ "secuela" ] }, "634": { "input": "disc", "output": "disco", "possible_translations": [ "disco", "disco intervertebral" ] }, "635": { "input": "museum", "output": "museo", "possible_translations": [ "museo" ] }, "636": { "input": "armor", "output": "armadura", "possible_translations": [ "blindaje", "coraza", "armadura" ] }, "637": { "input": "measure", "output": "medida", "possible_translations": [ "medición", "medida", "regla", "compás", "medir" ] }, "638": { "input": "demand", "output": "demanda", "possible_translations": [ "exigir", "demandar", "demanda", "exigencia" ] }, "639": { "input": "spot", "output": "mancha", "possible_translations": [ "grano", "localizar", "divisar", "mancha", "ubicar", "avistar", "detectar", "paraje", "poquito / poquita" ] }, "640": { "input": "tank", "output": "tanque", "possible_translations": [ "tanque" ] }, "641": { "input": "circulation", "output": "circulación", "possible_translations": [ "circulación" ] }, "642": { "input": "intelligence", "output": "inteligencia", "possible_translations": [ "inteligencia" ] }, "643": { "input": "possibility", "output": "posibilidad", "possible_translations": [ "posibilidad" ] }, "644": { "input": "journey", "output": "viaje", "possible_translations": [ "viaje", "viajar", "jornada" ] }, "645": { "input": "freedom", "output": "libertad", "possible_translations": [ "libertad" ] }, "646": { "input": "drug", "output": "droga", "possible_translations": [ "droga", "drogar" ] }, "647": { "input": "generation", "output": "generación", "possible_translations": [ "generación" ] }, "648": { "input": "replacement", "output": "reemplazo", "possible_translations": [ "suplente", "sustituto", "substituto", "reemplazo" ] }, "649": { "input": "downtown", "output": "centro", "possible_translations": [ "centro" ] }, "650": { "input": "destruction", "output": "destrucción", "possible_translations": [ "destrucción" ] }, "651": { "input": "youth", "output": "juventud", "possible_translations": [ "adolescente", "adolescencia", "juventud", "mozo", "moza", "joven", "mancebo" ] }, "652": { "input": "medal", "output": "medalla", "possible_translations": [ "medalla" ] }, "653": { "input": "atmosphere", "output": "atmósfera", "possible_translations": [ "atmósfera", "clima", "aire", "ambiente" ] }, "654": { "input": "task", "output": "incumbencia", "possible_translations": [ "atarear", "tarea", "incumbencia", "quehacer" ] }, "655": { "input": "block", "output": "manzana", "possible_translations": [ "impedir", "obstruir", "bloquear", "cuadra", "bloque", "atorar", "manzana", "block" ] }, "656": { "input": "guard", "output": "guarda", "possible_translations": [ "tapador", "custodiar", "guardar", "guarda", "bloque", "vigilar", "vanguardia", "protector", "guardia" ] }, "657": { "input": "regiment", "output": "regimiento", "possible_translations": [ "regimiento" ] }, "658": { "input": "chorus", "output": "coro", "possible_translations": [ "coro", "estribillo" ] }, "659": { "input": "hip", "output": "cadera", "possible_translations": [ "cadera" ] }, "660": { "input": "establishment", "output": "establecimiento", "possible_translations": [ "establecimiento" ] }, "661": { "input": "store", "output": "depósito", "possible_translations": [ "depósito", "almacenar", "conservar" ] }, "662": { "input": "completion", "output": "conclusión", "possible_translations": [ "conclusión" ] }, "663": { "input": "origin", "output": "origen", "possible_translations": [ "origen" ] }, "664": { "input": "responsibility", "output": "responsabilidad", "possible_translations": [ "responsabilidad" ] }, "665": { "input": "warning", "output": "advertencia", "possible_translations": [ "advertencia", "aviso", "precaución" ] }, "666": { "input": "skin", "output": "piel", "possible_translations": [ "máscara", "desollar", "despellejar", "piel" ] }, "667": { "input": "page", "output": "página", "possible_translations": [ "página", "paje" ] }, "668": { "input": "province", "output": "provincia", "possible_translations": [ "provincia" ] }, "669": { "input": "glass", "output": "vaso", "possible_translations": [ "copa", "vaso" ] }, "670": { "input": "path", "output": "camino", "possible_translations": [ "sendero", "senda", "camino" ] }, "671": { "input": "passage", "output": "pasaje", "possible_translations": [ "pasaje" ] }, "672": { "input": "counter", "output": "contador", "possible_translations": [ "contador", "mostrador", "taquilla" ] }, "673": { "input": "breed", "output": "raza", "possible_translations": [ "engendrar", "aparearse", "variedad", "cepa", "cultivar", "casta", "procrear", "criar", "raza" ] }, "674": { "input": "association", "output": "asociación", "possible_translations": [ "asociación" ] }, "675": { "input": "climate", "output": "clima", "possible_translations": [ "clima" ] }, "676": { "input": "corner", "output": "ángulo", "possible_translations": [ "ángulo", "rincón", "esquina" ] }, "677": { "input": "classification", "output": "clasificación", "possible_translations": [ "clasificación" ] }, "678": { "input": "vehicle", "output": "vehículo", "possible_translations": [ "vehículo", "vehículos" ] }, "679": { "input": "reality", "output": "realidad", "possible_translations": [ "realidad" ] }, "680": { "input": "picture", "output": "cine", "possible_translations": [ "foto", "imagen", "cine", "fotografía" ] }, "681": { "input": "memory", "output": "memoria", "possible_translations": [ "memoria", "recuerdo" ] }, "682": { "input": "segment", "output": "segmento", "possible_translations": [ "segmentar", "segmento" ] }, "683": { "input": "bar", "output": "barra", "possible_translations": [ "bar", "barra", "barrar" ] }, "684": { "input": "touchdown", "output": "touchdown", "possible_translations": [ "touchdown" ] }, "685": { "input": "difficulty", "output": "dificultad", "possible_translations": [ "dificultad" ] }, "686": { "input": "flow", "output": "flujo", "possible_translations": [ "flujo", "fluir", "caudal" ] }, "687": { "input": "basketball", "output": "baloncesto", "possible_translations": [ "baloncesto", "básquetbol" ] }, "688": { "input": "cavalry", "output": "caballería", "possible_translations": [ "caballería" ] }, "689": { "input": "discovery", "output": "descubrimiento", "possible_translations": [ "descubrimiento", "hallazgo" ] }, "690": { "input": "inspiration", "output": "inspiración", "possible_translations": [ "inspiración" ] }, "691": { "input": "funding", "output": "financiación", "possible_translations": [ "financiación" ] }, "692": { "input": "spoke", "output": "rayo", "possible_translations": [ "rayo" ] }, "693": { "input": "praise", "output": "alabanza", "possible_translations": [ "alabar", "adoración", "alabanza", "loa", "enaltecimiento" ] }, "694": { "input": "penalty", "output": "castigo", "possible_translations": [ "castigo" ] }, "695": { "input": "pitch", "output": "tono", "possible_translations": [ "armar", "campo", "declive", "tono", "paso", "echar", "pez", "lanzamiento", "plantar", "brea", "altura tonal", "altura", "distancia", "lanzar", "promover" ] }, "696": { "input": "pattern", "output": "dibujo", "possible_translations": [ "diseño", "forma", "perfilar", "estampado", "modelo", "molde", "patrón", "estructurar", "ornamento", "adorno", "estampar", "dibujo" ] }, "697": { "input": "heat", "output": "calor", "possible_translations": [ "emoción", "", "tira", "brama", "excitar", "picor", "onda de calor", "celo", "poli", "empalago", "caldear", "intensidad", "chota", "picante", "elevar la temperatura", "bola rápida", "eliminatoria", "cachondear", "vorágine", "calentar", "ímpetu", "calor", "estimular", "canícula", "estro", "cachondez" ] }, "698": { "input": "commission", "output": "comisión", "possible_translations": [ "comisión", "encargar" ] }, "699": { "input": "strategy", "output": "estrategia", "possible_translations": [ "estrategia" ] }, "700": { "input": "documentary", "output": "documental", "possible_translations": [ "documental", "documentario" ] }, "701": { "input": "cap", "output": "fulminante", "possible_translations": [ "fulminante", "gorra", "gorro", "detonante", "cofia" ] }, "702": { "input": "architecture", "output": "arquitectura", "possible_translations": [ "arquitectura" ] }, "703": { "input": "category", "output": "categoría", "possible_translations": [ "categoría" ] }, "704": { "input": "contest", "output": "concurso", "possible_translations": [ "competición", "impugnar", "cuestionar", "oponerse", "debate", "competir", "competencia", "concurso" ] }, "705": { "input": "plane", "output": "plano", "possible_translations": [ "platano", "cepillar", "plano", "avión", "cepillo" ] }, "706": { "input": "minister", "output": "ministro", "possible_translations": [ "ministro" ] }, "707": { "input": "adaptation", "output": "ajuste", "possible_translations": [ "versión", "ajuste", "adaptación", "modificación" ] }, "708": { "input": "champion", "output": "campeón", "possible_translations": [ "campeón" ] }, "709": { "input": "scheme", "output": "esquema", "possible_translations": [ "ardid", "intriga", "artimaña", "esquema", "treta", "estratagema", "maquinación" ] }, "710": { "input": "library", "output": "biblioteca", "possible_translations": [ "biblioteca", "librería" ] }, "711": { "input": "sale", "output": "liquidación", "possible_translations": [ "venta", "liquidación", "rebaja" ] }, "712": { "input": "fit", "output": "convulción", "possible_translations": [ "caber", "hacer juego", "quedar", "crisis", "convulción", "en forma", "apropiado" ] }, "713": { "input": "throne", "output": "trono", "possible_translations": [ "trono" ] }, "714": { "input": "passenger", "output": "pasajero", "possible_translations": [ "pasajero" ] }, "715": { "input": "partner", "output": "compañero", "possible_translations": [ "compañero" ] }, "716": { "input": "submarine", "output": "submarino", "possible_translations": [ "submarino" ] }, "717": { "input": "absence", "output": "ausencia", "possible_translations": [ "ausencia", "falta" ] }, "718": { "input": "door", "output": "puerta", "possible_translations": [ "puerta" ] }, "719": { "input": "engineer", "output": "ingeniero", "possible_translations": [ "ingeniero", "manipular genéticamente" ] }, "720": { "input": "airport", "output": "aeropuerto", "possible_translations": [ "aeropuerto" ] }, "721": { "input": "interior", "output": "interior", "possible_translations": [ "interior" ] }, "722": { "input": "behavior", "output": "comportamiento", "possible_translations": [ "conducta", "comportamiento" ] }, "723": { "input": "respect", "output": "respeto", "possible_translations": [ "respeto", "respetar" ] }, "724": { "input": "conclusion", "output": "conclusión", "possible_translations": [ "conclusión" ] }, "725": { "input": "acid", "output": "ácido", "possible_translations": [ "agrio", "malhumorado", "ácido" ] }, "726": { "input": "facility", "output": "facilidad", "possible_translations": [ "facilidad", "instalación" ] }, "727": { "input": "retirement", "output": "jubilación", "possible_translations": [ "jubilación", "retirada" ] }, "728": { "input": "colony", "output": "colonia", "possible_translations": [ "colonia" ] }, "729": { "input": "fashion", "output": "moda", "possible_translations": [ "moda" ] }, "730": { "input": "convection", "output": "convección", "possible_translations": [ "convección" ] }, "731": { "input": "legislation", "output": "legislación", "possible_translations": [ "legislación" ] }, "732": { "input": "favor", "output": "favor", "possible_translations": [ "favor", "preferir", "favorecer" ] }, "733": { "input": "kingdom", "output": "reino", "possible_translations": [ "reino" ] }, "734": { "input": "credit", "output": "crédito", "possible_translations": [ "crédito" ] }, "735": { "input": "rescue", "output": "rescate", "possible_translations": [ "rescate", "rescatar" ] }, "736": { "input": "farm", "output": "finca", "possible_translations": [ "finca", "granja" ] }, "737": { "input": "crash", "output": "choque", "possible_translations": [ "chocar", "choque" ] }, "738": { "input": "battleship", "output": "acorazado", "possible_translations": [ "acorazado" ] }, "739": { "input": "habitat", "output": "habitación", "possible_translations": [ "habitación", "habitat" ] }, "740": { "input": "hop", "output": "lúpulo", "possible_translations": [ "lúpulo", "saltar", "salto" ] }, "741": { "input": "judge", "output": "juez", "possible_translations": [ "árbitro", "juez", "juzgar", "opinar" ] }, "742": { "input": "chairman", "output": "presidente", "possible_translations": [ "presidente" ] }, "743": { "input": "arrangement", "output": "arreglo", "possible_translations": [ "planes", "preparativos", "acuerdo", "disposición", "arreglo" ] }, "744": { "input": "sport", "output": "espécimen raro", "possible_translations": [ "mostrar", "burlarse", "burla", "espécimen raro", "aventura", "jugar", "juguete", "deporte", "llevar", "deportista" ] }, "745": { "input": "dog", "output": "perro", "possible_translations": [ "perro" ] }, "746": { "input": "step", "output": "paso", "possible_translations": [ "escalón", "peldaño", "paso", "caminar" ] }, "747": { "input": "fruit", "output": "fruta", "possible_translations": [ "fruto", "fruta", "marica", "maricón" ] }, "748": { "input": "grade", "output": "nivel", "possible_translations": [ "nivel", "desnivel" ] }, "749": { "input": "emergency", "output": "emergencia", "possible_translations": [ "urgencia", "emergencia" ] }, "750": { "input": "limit", "output": "límite", "possible_translations": [ "límite", "limitar" ] }, "751": { "input": "cancer", "output": "cáncer", "possible_translations": [ "cáncer" ] }, "752": { "input": "shark", "output": "tiburón", "possible_translations": [ "tiburón" ] }, "753": { "input": "festival", "output": "festival", "possible_translations": [ "festival" ] }, "754": { "input": "siege", "output": "sitio", "possible_translations": [ "sitio", "asedio", "asediar", "sitiar" ] }, "755": { "input": "successor", "output": "sucesor", "possible_translations": [ "sucesor" ] }, "756": { "input": "narrative", "output": "narrativa", "possible_translations": [ "narración", "narrativo", "narrativa" ] }, "757": { "input": "cycle", "output": "ciclo", "possible_translations": [ "ciclo" ] }, "758": { "input": "hill", "output": "cerro", "possible_translations": [ "cerro", "colina", "loma" ] }, "759": { "input": "belt", "output": "cinturón", "possible_translations": [ "cincho", "correa", "faja", "cinturón", "golpe", "golpear", "cinto", "cinturón de seguridad" ] }, "760": { "input": "journalist", "output": "periodista", "possible_translations": [ "reportero", "periodista" ] }, "761": { "input": "concern", "output": "preocupación", "possible_translations": [ "preocupar", "referirse a", "preocupación" ] }, "762": { "input": "object", "output": "objeto", "possible_translations": [ "complemento", "objetar", "objeto" ] }, "763": { "input": "childhood", "output": "infancia", "possible_translations": [ "niñez", "infancia" ] }, "764": { "input": "conduct", "output": "conducción", "possible_translations": [ "manejar", "dirigir", "guiar", "conducir", "conducta", "conducción", "comportarse" ] }, "765": { "input": "ride", "output": "rait", "possible_translations": [ "medio de transporte", "cabalgar", "rait", "conducir", "montar", "autoestop", "pasear en coche" ] }, "766": { "input": "talk", "output": "conversación", "possible_translations": [ "conversar", "conferencia", "conversación", "hablar" ] }, "767": { "input": "chapter", "output": "sede", "possible_translations": [ "capítulo", "sede" ] }, "768": { "input": "exception", "output": "excepción", "possible_translations": [ "excepción" ] }, "769": { "input": "difference", "output": "diferencia", "possible_translations": [ "diferencia" ] }, "770": { "input": "arm", "output": "brazo", "possible_translations": [ "armar", "brazo", "arma" ] }, "771": { "input": "device", "output": "dispositivo", "possible_translations": [ "dispositivo", "mecanismo" ] }, "772": { "input": "animation", "output": "animación", "possible_translations": [ "animación" ] }, "773": { "input": "poet", "output": "poeta", "possible_translations": [ "poeta", "poetisa" ] }, "774": { "input": "brain", "output": "cerebro", "possible_translations": [ "cerebro" ] }, "775": { "input": "stock", "output": "caldo", "possible_translations": [ "reserva", "existencias", "acción", "ganado", "caldo", "disponible", "en almacén", "surtido" ] }, "776": { "input": "chain", "output": "cadena", "possible_translations": [ "cadena" ] }, "777": { "input": "retreat", "output": "retiro", "possible_translations": [ "retirarse", "retiro" ] }, "778": { "input": "poetry", "output": "poesía", "possible_translations": [ "poesía" ] }, "779": { "input": "dialogue", "output": "diálogo", "possible_translations": [ "diálogo", "conversación" ] }, "780": { "input": "format", "output": "formato", "possible_translations": [ "formato", "formatear" ] }, "781": { "input": "universe", "output": "universo", "possible_translations": [ "universo" ] }, "782": { "input": "shell", "output": "cáscara", "possible_translations": [ "caparazón", "terminal", "casquete", "crustáceo", "vaina", "desvainar", "cáscara", "bombardear", "descascarar", "concha", "marisco" ] }, "783": { "input": "union", "output": "unión", "possible_translations": [ "unión" ] }, "784": { "input": "convoy", "output": "caravana", "possible_translations": [ "caravana" ] }, "785": { "input": "afternoon", "output": "tarde", "possible_translations": [ "tarde" ] }, "786": { "input": "belief", "output": "creencia", "possible_translations": [ "creencia" ] }, "787": { "input": "valley", "output": "valle", "possible_translations": [ "valle" ] }, "788": { "input": "driver", "output": "conductor", "possible_translations": [ "manejador", "controlador", "conductor", "conductora", "chofer" ] }, "789": { "input": "suit", "output": "palo", "possible_translations": [ "palo", "traje", "terno", "proceso .", "acción", "convenir", "vestido", "tacuche", "litigio", "pleito", "flux" ] }, "790": { "input": "diameter", "output": "diámetro", "possible_translations": [ "diámetro" ] }, "791": { "input": "convention", "output": "convenio", "possible_translations": [ "costumbre", "convenio", "tratado", "convención" ] }, "792": { "input": "founder", "output": "fundador", "possible_translations": [ "fundador", "fracasar", "hundir", "zozobrar" ] }, "793": { "input": "hero", "output": "héroe", "possible_translations": [ "héroe" ] }, "794": { "input": "code", "output": "código", "possible_translations": [ "codificar", "programar", "código", "clave" ] }, "795": { "input": "crisis", "output": "crisis", "possible_translations": [ "crisis" ] }, "796": { "input": "engineering", "output": "ingeniería", "possible_translations": [ "sala de máquinas", "ingeniería" ] }, "797": { "input": "designer", "output": "diseñador", "possible_translations": [ "diseñadora", "diseñador" ] }, "798": { "input": "reform", "output": "reforma", "possible_translations": [ "reforma", "reformar" ] }, "799": { "input": "fear", "output": "miedo", "possible_translations": [ "tener miedo de", "respeto", "miedo", "temor", "pavor", "temer" ] }, "800": { "input": "technique", "output": "técnica", "possible_translations": [ "técnica" ] }, "801": { "input": "weekend", "output": "fin de semana", "possible_translations": [ "fin de semana" ] }, "802": { "input": "mix", "output": "mezcla", "possible_translations": [ "mezcla", "mezclar" ] }, "803": { "input": "tone", "output": "tono", "possible_translations": [ "tono" ] }, "804": { "input": "finale", "output": "final", "possible_translations": [ "final" ] }, "805": { "input": "permission", "output": "permiso", "possible_translations": [ "permiso" ] }, "806": { "input": "advice", "output": "consejo", "possible_translations": [ "aviso", "consejo" ] }, "807": { "input": "maintenance", "output": "mantenimiento", "possible_translations": [ "mantenimiento" ] }, "808": { "input": "weapon", "output": "arma", "possible_translations": [ "arma" ] }, "809": { "input": "factor", "output": "factor", "possible_translations": [ "factor" ] }, "810": { "input": "vice", "output": "torno de banco", "possible_translations": [ "torno de banco", "vicio" ] }, "811": { "input": "address", "output": "dirección", "possible_translations": [ "dirección", "dirigir" ] }, "812": { "input": "verse", "output": "estrofa", "possible_translations": [ "verso", "estrofa" ] }, "813": { "input": "bus", "output": "autobús", "possible_translations": [ "ómnibus", "guagua", "rufa", "camión", "bus", "cazadora", "colectivo", "micro", "bondi", "camioneta", "autobús" ] }, "814": { "input": "window", "output": "ventana", "possible_translations": [ "ventana" ] }, "815": { "input": "personality", "output": "personalidad", "possible_translations": [ "personalidad" ] }, "816": { "input": "squad", "output": "escuadra", "possible_translations": [ "cuadro", "cuadrilla", "escuadrón", "conjunto", "escuadra" ] }, "817": { "input": "mainstream", "output": "común y corriente", "possible_translations": [ "convencional", "común y corriente", "aceptado", "cotidiano", "normal", "tipico" ] }, "818": { "input": "chemical", "output": "producto químico", "possible_translations": [ "químico", "producto químico" ] }, "819": { "input": "spirit", "output": "espíritu", "possible_translations": [ "espíritu", "alma", "bebida espirituosa", "alcohol" ] }, "820": { "input": "vision", "output": "visión", "possible_translations": [ "vista", "visión" ] }, "821": { "input": "hockey", "output": "hockey", "possible_translations": [ "hockey" ] }, "822": { "input": "channel", "output": "canal", "possible_translations": [ "canalizar", "canal", "dirigir" ] }, "823": { "input": "carbon", "output": "carbono", "possible_translations": [ "copia con papel carbón", "carbón", "papel carbón", "carbono" ] }, "824": { "input": "drawing", "output": "dibujo", "possible_translations": [ "rifa", "dibujar", "croquis", "esquema", "sorteo", "dibujo" ] }, "825": { "input": "dynasty", "output": "dinastía", "possible_translations": [ "dinastía" ] }, "826": { "input": "approval", "output": "aprobación", "possible_translations": [ "aprobación" ] }, "827": { "input": "housing", "output": "vivienda", "possible_translations": [ "vivienda" ] }, "828": { "input": "card", "output": "carta", "possible_translations": [ "carta", "tarjeta", "naipe" ] }, "829": { "input": "intention", "output": "intención", "possible_translations": [ "intención" ] }, "830": { "input": "creator", "output": "creador", "possible_translations": [ "creador" ] }, "831": { "input": "symbol", "output": "símbolo", "possible_translations": [ "símbolo" ] }, "832": { "input": "tribute", "output": "tributo", "possible_translations": [ "tributo", "homenaje" ] }, "833": { "input": "collapse", "output": "colapso", "possible_translations": [ "derrumbarse", "colapso", "colapsar", "desplomarse" ] }, "834": { "input": "protagonist", "output": "protagonista", "possible_translations": [ "protagonista" ] }, "835": { "input": "link", "output": "enlace", "possible_translations": [ "eslabón", "hiperenlace", "enlace", "hipervínculo", "vínculo", "lazo" ] }, "836": { "input": "tie", "output": "ligadura", "possible_translations": [ "amarrar", "empate", "vínculo", "ligar", "atar", "asegurar", "lazo", "ligadura" ] }, "837": { "input": "designation", "output": "designación", "possible_translations": [ "designación" ] }, "838": { "input": "radar", "output": "radar", "possible_translations": [ "radar" ] }, "839": { "input": "load", "output": "carga", "possible_translations": [ "carga", "cargamento", "cargar" ] }, "840": { "input": "appointment", "output": "cita", "possible_translations": [ "cita", "compromiso", "nombramiento" ] }, "841": { "input": "possession", "output": "posesión", "possible_translations": [ "posesión" ] }, "842": { "input": "surprise", "output": "sorpresa", "possible_translations": [ "sorpresa", "sorprender" ] }, "843": { "input": "suicide", "output": "suicidio", "possible_translations": [ "suicida", "suicidio" ] }, "844": { "input": "dispute", "output": "disputar", "possible_translations": [ "disputar" ] }, "845": { "input": "survey", "output": "supervisión", "possible_translations": [ "inspeccionar", "encuesta", "estudio de mercado", "campaña topográfica", "supervisión", "informe" ] }, "846": { "input": "canal", "output": "canal", "possible_translations": [ "canal" ] }, "847": { "input": "benefit", "output": "beneficio", "possible_translations": [ "beneficiar", "ventaja", "beneficio" ] }, "848": { "input": "struggle", "output": "lucha", "possible_translations": [ "luchar", "esforzarse con denuedo", "lucha" ] }, "849": { "input": "fishing", "output": "pesca", "possible_translations": [ "pesca" ] }, "850": { "input": "soil", "output": "tierra", "possible_translations": [ "ensuciar", "suelo", "tierra" ] }, "851": { "input": "balance", "output": "equilibrio", "possible_translations": [ "balance", "balancear", "equilibrio", "hacer balance", "balanza" ] }, "852": { "input": "schedule", "output": "horario", "possible_translations": [ "itinerario", "programar", "horario" ] }, "853": { "input": "column", "output": "columna", "possible_translations": [ "columna" ] }, "854": { "input": "teacher", "output": "maestro", "possible_translations": [ "maestro", "profesor", "docente", "profesora", "maestra" ] }, "855": { "input": "brand", "output": "marca", "possible_translations": [ "marca", "tizón" ] }, "856": { "input": "evolution", "output": "evolución", "possible_translations": [ "evolución" ] }, "857": { "input": "wedding", "output": "boda", "possible_translations": [ "boda", "nupcias", "casamiento" ] }, "858": { "input": "cent", "output": "centavo", "possible_translations": [ "centavo", "céntimo" ] }, "859": { "input": "earth", "output": "tierra", "possible_translations": [ "madriguera", "terreno", "conectar a tierra", "suelo", "tierra" ] }, "860": { "input": "alignment", "output": "alineamiento", "possible_translations": [ "alineación", "alineamiento" ] }, "861": { "input": "faith", "output": "fe", "possible_translations": [ "fe" ] }, "862": { "input": "concrete", "output": "hormigón", "possible_translations": [ "concretizar", "hormigón", "concreto", "específico", "de concreto", "hormigonar", "de hormigón" ] }, "863": { "input": "shear", "output": "cizalla", "possible_translations": [ "cortar", "esquilar", "cizallar", "cizallado", "tundir", "distorsionar", "tonsurar", "cizalla" ] }, "864": { "input": "map", "output": "plano", "possible_translations": [ "mapa", "plano" ] }, "865": { "input": "opponent", "output": "oponente", "possible_translations": [ "oponente" ] }, "866": { "input": "foundation", "output": "fundación", "possible_translations": [ "fundación", "dotar de fondos", "base", "cimiento", "fundar" ] }, "867": { "input": "copy", "output": "copia", "possible_translations": [ "imitar", "ejemplar", "recibir", "copia", "copiar" ] }, "868": { "input": "percentage", "output": "porcentaje", "possible_translations": [ "porcentaje" ] }, "869": { "input": "argument", "output": "argumento", "possible_translations": [ "riña", "argumento", "discusión", "argumentación", "bronca", "pelea" ] }, "870": { "input": "closing", "output": "clausura", "possible_translations": [ "clausura", "cierre" ] }, "871": { "input": "ammunition", "output": "munición", "possible_translations": [ "munición" ] }, "872": { "input": "arrest", "output": "arresto", "possible_translations": [ "prender", "parar", "detener", "paro", "detenido", "arrestar", "coger", "arresto" ] }, "873": { "input": "resolution", "output": "resolución", "possible_translations": [ "resolución" ] }, "874": { "input": "railroad", "output": "ferrocarril", "possible_translations": [ "riel", "ferrocarril" ] }, "875": { "input": "disaster", "output": "desastre", "possible_translations": [ "desastre" ] }, "876": { "input": "attendance", "output": "asistencia", "possible_translations": [ "asistencia", "presencia" ] }, "877": { "input": "household", "output": "familia", "possible_translations": [ "séquito", "casa", "doméstico", "casero", "hogareños", "huéspedes", "familia", "familiar" ] }, "878": { "input": "restaurant", "output": "restaurante", "possible_translations": [ "restaurante", "restorán" ] }, "879": { "input": "honour", "output": "honor", "possible_translations": [ "ajustarse", "honor", "privilegio", "acatar", "honrar", "respetar" ] }, "880": { "input": "junction", "output": "juntura", "possible_translations": [ "juntura" ] }, "881": { "input": "funeral", "output": "funeral", "possible_translations": [ "funeral", "entierro" ] }, "882": { "input": "affair", "output": "amorío", "possible_translations": [ "amorío", "aventura", "negocio", "asunto" ] }, "883": { "input": "compilation", "output": "compilación", "possible_translations": [ "compilación" ] }, "884": { "input": "exit", "output": "salida", "possible_translations": [ "salida", "partida", "partir", "salir" ] }, "885": { "input": "statue", "output": "estatua", "possible_translations": [ "estatua" ] }, "886": { "input": "explosion", "output": "explosión", "possible_translations": [ "explosión" ] }, "887": { "input": "professor", "output": "profesor", "possible_translations": [ "profesora", "profesor" ] }, "888": { "input": "mention", "output": "mención", "possible_translations": [ "mencionar", "mención" ] }, "889": { "input": "oxygen", "output": "oxígeno", "possible_translations": [ "oxígeno" ] }, "890": { "input": "collaboration", "output": "colaboración", "possible_translations": [ "colaboración" ] }, "891": { "input": "sector", "output": "sector", "possible_translations": [ "sector" ] }, "892": { "input": "tunnel", "output": "túnel", "possible_translations": [ "túnel" ] }, "893": { "input": "pain", "output": "pena", "possible_translations": [ "apenar", "castigar", "dolor", "doler", "condenar", "pena" ] }, "894": { "input": "entertainment", "output": "entretenimiento", "possible_translations": [ "espectáculo", "entretenimiento" ] }, "895": { "input": "residence", "output": "residencia", "possible_translations": [ "residencia" ] }, "896": { "input": "preparation", "output": "preparación", "possible_translations": [ "preparación" ] }, "897": { "input": "alliance", "output": "alianza", "possible_translations": [ "alianza" ] }, "898": { "input": "orbit", "output": "órbita", "possible_translations": [ "órbita", "orbitar" ] }, "899": { "input": "restoration", "output": "restauración", "possible_translations": [ "restauración" ] }, "900": { "input": "detail", "output": "detalle", "possible_translations": [ "detalle", "destacamento" ] }, "901": { "input": "coverage", "output": "cobertura", "possible_translations": [ "cobertura" ] }, "902": { "input": "wear", "output": "ropa", "possible_translations": [ "fatigar", "ropa", "desgaste", "llevar" ] }, "903": { "input": "horror", "output": "horror", "possible_translations": [ "horror" ] }, "904": { "input": "grant", "output": "patrocinio", "possible_translations": [ "patrocinio", "subvención", "beca", "conceder" ] }, "905": { "input": "option", "output": "opción financiera", "possible_translations": [ "opción financiera", "opción", "opciones" ] }, "906": { "input": "communication", "output": "comunicación", "possible_translations": [ "comunicado", "comunicación" ] }, "907": { "input": "neck", "output": "cogote", "possible_translations": [ "pescuezo", "cuello", "nuca", "cogote" ] }, "908": { "input": "transition", "output": "transición", "possible_translations": [ "transición" ] }, "909": { "input": "walk", "output": "paseo", "possible_translations": [ "trecho", "paseo", "trayecto", "andar", "caminar", "andares", "pasear", "acompañar" ] }, "910": { "input": "repair", "output": "reparación", "possible_translations": [ "reparación", "reparar" ] }, "911": { "input": "ownership", "output": "posesión", "possible_translations": [ "propiedad", "posesión" ] }, "912": { "input": "perspective", "output": "perspectiva", "possible_translations": [ "perspectiva" ] }, "913": { "input": "cargo", "output": "carga", "possible_translations": [ "carga" ] }, "914": { "input": "bear", "output": "oso", "possible_translations": [ "atestiguar", "soportar", "portar", "resistir", "oso", "aguantar", "llevar", "parir", "dar a luz" ] }, "915": { "input": "solution", "output": "solución", "possible_translations": [ "solución" ] }, "916": { "input": "patrol", "output": "ronda", "possible_translations": [ "patrulla", "hacer la ronda", "patrullar", "ronda" ] }, "917": { "input": "boundary", "output": "frontera", "possible_translations": [ "frontera", "límite" ] }, "918": { "input": "occasion", "output": "ocasión", "possible_translations": [ "ocasión" ] }, "919": { "input": "militia", "output": "milicia", "possible_translations": [ "milicia" ] }, "920": { "input": "armament", "output": "armamento", "possible_translations": [ "armamento" ] }, "921": { "input": "bowling", "output": "bolos", "possible_translations": [ "bolos" ] }, "922": { "input": "crown", "output": "corona", "possible_translations": [ "coronilla", "corona", "cumbre", "coronar" ] }, "923": { "input": "comparison", "output": "comparación", "possible_translations": [ "comparación" ] }, "924": { "input": "flagship", "output": "buque insignia", "possible_translations": [ "buque insignia" ] }, "925": { "input": "jazz", "output": "jazz", "possible_translations": [ "jazz" ] }, "926": { "input": "bed", "output": "cama", "possible_translations": [ "lecho", "cama" ] }, "927": { "input": "application", "output": "solicitud", "possible_translations": [ "aplicación", "solicitud" ] }, "928": { "input": "pace", "output": "paso", "possible_translations": [ "con todo respeto", "trote", "galope", "paso", "con el debido respeto", "ritmo" ] }, "929": { "input": "agency", "output": "albedrío", "possible_translations": [ "agency", "albedrío", "oficina", "agencia" ] }, "930": { "input": "truth", "output": "verdad", "possible_translations": [ "verdad" ] }, "931": { "input": "palace", "output": "palacio", "possible_translations": [ "palacio" ] }, "932": { "input": "storage", "output": "almacén", "possible_translations": [ "bodega", "almacén", "depósito", "almacenaje", "almacenamiento" ] }, "933": { "input": "frame", "output": "lote", "possible_translations": [ "cuadro", "armar", "estructura", "inculpar falsamente", "enmarcar", "contextualizar", "levantar la estructura", "lote", "fotograma", "marco", "esqueleto", "encuadrar", "concebir", "armazón", "osamenta" ] }, "934": { "input": "flank", "output": "flanco", "possible_translations": [ "flanco", "costado" ] }, "935": { "input": "exhibition", "output": "exhibición", "possible_translations": [ "exhibición", "exposición" ] }, "936": { "input": "monument", "output": "monumento", "possible_translations": [ "monumento" ] }, "937": { "input": "predecessor", "output": "predecesor", "possible_translations": [ "antecesor", "predecesor" ] }, "938": { "input": "surgery", "output": "cirugía", "possible_translations": [ "operación", "cirugía" ] }, "939": { "input": "poll", "output": "encuesta", "possible_translations": [ "encuesta", "encuestas" ] }, "940": { "input": "philosophy", "output": "filosofía", "possible_translations": [ "filosofía" ] }, "941": { "input": "adventure", "output": "aventura", "possible_translations": [ "aventura" ] }, "942": { "input": "kick", "output": "patada", "possible_translations": [ "puntapié", "dar una patada a", "coz", "patada", "dar un puntapié a", "patear" ] }, "943": { "input": "dollar", "output": "dólar", "possible_translations": [ "dólar" ] }, "944": { "input": "protest", "output": "protesta", "possible_translations": [ "protesta", "protestar" ] }, "945": { "input": "layer", "output": "gallina ponedora", "possible_translations": [ "hijuelo", "capa", "gallina ponedora", "onedora" ] }, "946": { "input": "catch", "output": "pega", "possible_translations": [ "cuestión", "pega", "trampa", "truco", "atrapar", "traba", "capturar" ] }, "947": { "input": "gap", "output": "brecha", "possible_translations": [ "hueco", "brecha", "abertura" ] }, "948": { "input": "phone", "output": "teléfono", "possible_translations": [ "teléfono", "fono", "telefonear", "llamar por teléfono" ] }, "949": { "input": "context", "output": "contexto", "possible_translations": [ "contexto", "marco" ] }, "950": { "input": "casting", "output": "fundición", "possible_translations": [ "audición", "fundición", "casting", "fundería" ] }, "951": { "input": "protein", "output": "proteína", "possible_translations": [ "proteína" ] }, "952": { "input": "reconnaissance", "output": "reconocimiento", "possible_translations": [ "reconocimiento" ] }, "953": { "input": "spin", "output": "vuelta", "possible_translations": [ "espín", "endulzar", "pintar bonito", "hilar", "rotar", "barrena", "vuelta", "sesgo positivo", "dorar la píldora", "girar", "giro" ] }, "954": { "input": "legacy", "output": "legado", "possible_translations": [ "legado", "número previo" ] }, "955": { "input": "drum", "output": "tambor", "possible_translations": [ "recalcar", "tambor", "bidón", "tamborear", "inculcar", "barril", "cilindro" ] }, "956": { "input": "typhoon", "output": "tifón", "possible_translations": [ "tifón" ] }, "957": { "input": "justice", "output": "justicia", "possible_translations": [ "justedad", "justeza", "justicia" ] }, "958": { "input": "illness", "output": "enfermedad", "possible_translations": [ "enfermedad" ] }, "959": { "input": "merchant", "output": "comerciante", "possible_translations": [ "mercader", "comerciante" ] }, "960": { "input": "revenue", "output": "recaudación", "possible_translations": [ "retorno", "rédito", "recaudación" ] }, "961": { "input": "bombing", "output": "bombardeo", "possible_translations": [ "bombardeo" ] }, "962": { "input": "fund", "output": "fondo", "possible_translations": [ "capital", "fondo", "patrocinar", "sufragar", "financiar" ] }, "963": { "input": "bow", "output": "arco", "possible_translations": [ "proa", "arquearse", "arco", "doblar", "inclinarse", "reverencia", "lazo" ] }, "964": { "input": "definition", "output": "definición", "possible_translations": [ "definición" ] }, "965": { "input": "meat", "output": "carne", "possible_translations": [ "carne" ] }, "966": { "input": "guitarist", "output": "guitarrista", "possible_translations": [ "guitarrero", "guitarrista", "guitarra" ] }, "967": { "input": "marketing", "output": "mercadotecnia", "possible_translations": [ "mercadotecnia" ] }, "968": { "input": "ruling", "output": "decisión", "possible_translations": [ "decisión", "gobernante" ] }, "969": { "input": "factory", "output": "fábrica", "possible_translations": [ "planta", "fábrica" ] }, "970": { "input": "profile", "output": "perfil", "possible_translations": [ "perfil" ] }, "971": { "input": "mining", "output": "minería", "possible_translations": [ "minería" ] }, "972": { "input": "bonus", "output": "bonificación", "possible_translations": [ "beneficio", "plus", "bonificación" ] }, "973": { "input": "theater", "output": "teatro", "possible_translations": [ "teatro" ] }, "974": { "input": "signal", "output": "señal", "possible_translations": [ "señalar", "señal" ] }, "975": { "input": "clothing", "output": "ropa", "possible_translations": [ "ropa" ] }, "976": { "input": "delivery", "output": "parto", "possible_translations": [ "entrega", "parto", "nacimiento" ] }, "977": { "input": "coin", "output": "moneda", "possible_translations": [ "moneda", "acuñar" ] }, "978": { "input": "pit", "output": "foso", "possible_translations": [ "semilla", "foso", "deshuesar", "fosa", "excavación", "hueso" ] }, "979": { "input": "elevation", "output": "altitud", "possible_translations": [ "elevación", "exaltación", "ascenso", "altitud", "enaltecimiento", "promontorio" ] }, "980": { "input": "flood", "output": "inundación ; avenida", "possible_translations": [ "diluvio", "inundación ; avenida" ] }, "981": { "input": "dress", "output": "vestido", "possible_translations": [ "traje", "vestido", "vestirse", "vestir" ] }, "982": { "input": "organ", "output": "órgano", "possible_translations": [ "órgano", "publicación oficial" ] }, "983": { "input": "architect", "output": "arquitecto", "possible_translations": [ "arquitecta", "arquitecto" ] }, "984": { "input": "legislature", "output": "legislatura", "possible_translations": [ "legislatura" ] }, "985": { "input": "musician", "output": "músico", "possible_translations": [ "músico" ] }, "986": { "input": "conversion", "output": "conversión", "possible_translations": [ "conversión" ] }, "987": { "input": "concentration", "output": "concentración", "possible_translations": [ "concentración" ] }, "988": { "input": "aftermath", "output": "consecuencias", "possible_translations": [ "resultados", "consecuencias" ] }, "989": { "input": "baby", "output": "bebé", "possible_translations": [ "benjamín", "benjamina", "bebe", "nene", "bebé", "niña", "nena", "guagua", "niño" ] }, "990": { "input": "danger", "output": "peligro", "possible_translations": [ "peligro" ] }, "991": { "input": "wrestling", "output": "lucha libre", "possible_translations": [ "pressing catch", "lucha libre" ] }, "992": { "input": "string", "output": "cadena", "possible_translations": [ "cadena", "mecate", "encordar", "enhebrar", "cuerda", "cordel" ] }, "993": { "input": "meter", "output": "medidor", "possible_translations": [ "metro", "contador", "medidor" ] }, "994": { "input": "removal", "output": "mudanza", "possible_translations": [ "mudanza" ] }, "995": { "input": "interpretation", "output": "interpretación", "possible_translations": [ "apreciación", "interpretación" ] }, "996": { "input": "venue", "output": "cancha", "possible_translations": [ "cancha" ] }, "997": { "input": "cult", "output": "secta", "possible_translations": [ "secta" ] }, "998": { "input": "rebellion", "output": "rebelión", "possible_translations": [ "insurrección", "rebelión" ] }, "999": { "input": "panel", "output": "panel", "possible_translations": [ "entrepaño", "viñeta", "panel" ] }, "1000": { "input": "announcement", "output": "anunciación", "possible_translations": [ "anuncio", "anunciación" ] }, "1001": { "input": "soldier", "output": "soldado", "possible_translations": [ "milico", "militar", "soldado" ] }, "1002": { "input": "discussion", "output": "discusión", "possible_translations": [ "discusión" ] }, "1003": { "input": "behaviour", "output": "comportamiento", "possible_translations": [ "conducta", "comportamiento" ] }, "1004": { "input": "loan", "output": "préstamo", "possible_translations": [ "prestar", "préstamo" ] }, "1005": { "input": "roll", "output": "rollo", "possible_translations": [ "enroscar", "retumbo", "embrollar", "rollo", "rodillo", "reflexionar", "redoblamiento", "envolver", "rosca", "rodeadora", "rodear", "redobladura", "redoblar", "rodar", "ruedo", "redoble", "allanar", "balanceo", "rodeo", "reflejar", "rodeador", "registro" ] }, "1006": { "input": "aspect", "output": "aspecto", "possible_translations": [ "aspecto" ] }, "1007": { "input": "talent", "output": "talento", "possible_translations": [ "talento" ] }, "1008": { "input": "landscape", "output": "apaisado", "possible_translations": [ "paisaje", "apaisado" ] }, "1009": { "input": "withdrawal", "output": "coitus interruptus", "possible_translations": [ "coitus interruptus", "retirada", "síndrome de abstinencia" ] }, "1010": { "input": "angle", "output": "ángulo", "possible_translations": [ "ángulo", "pescar con caña", "punto de vista", "pescar con anzuelo" ] }, "1011": { "input": "margin", "output": "margen", "possible_translations": [ "margen" ] }, "1012": { "input": "circle", "output": "círculo", "possible_translations": [ "rodear", "círculo", "grupo", "esfera", "circular", "órbita", "curva", "moverse en círculo" ] }, "1013": { "input": "trouble", "output": "problema", "possible_translations": [ "fastidiar", "agobiar", "problema", "molestar", "pena" ] }, "1014": { "input": "exposure", "output": "exposición", "possible_translations": [ "publicidad", "exposición", "denuncia" ] }, "1015": { "input": "specimen", "output": "ejemplar", "possible_translations": [ "espécimen", "ejemplar" ] }, "1016": { "input": "pool", "output": "estanque", "possible_translations": [ "pileta", "compartir", "estanque", "reunir", "participar" ] }, "1017": { "input": "constitution", "output": "constitución", "possible_translations": [ "constituciones", "constitución" ] }, "1018": { "input": "beam", "output": "viga", "possible_translations": [ "radio", "viga", "travesaño" ] }, "1019": { "input": "shift", "output": "cambio", "possible_translations": [ "tecla mayúsculas", "turno", "tecla shift", "mover", "desviación", "moverse", "deslizamiento", "cambio", "desplazamiento", "cambiar" ] }, "1020": { "input": "duo", "output": "dúo", "possible_translations": [ "equipo de dos", "dúo", "dupla" ] }, "1021": { "input": "plate", "output": "placa", "possible_translations": [ "lámina", "grabado", "matrícula", "placa", "plato", "chapar", "armadura" ] }, "1022": { "input": "magic", "output": "magia", "possible_translations": [ "mágico", "magia", "embrujar" ] }, "1023": { "input": "expression", "output": "expresión", "possible_translations": [ "expresión", "aspecto" ] }, "1024": { "input": "skull", "output": "calavera", "possible_translations": [ "cráneo", "calavera" ] }, "1025": { "input": "emphasis", "output": "énfasis", "possible_translations": [ "énfasis" ] }, "1026": { "input": "alcohol", "output": "alcohol", "possible_translations": [ "alcohol" ] }, "1027": { "input": "exercise", "output": "ejercicio", "possible_translations": [ "ejercer", "ejercicio", "ejercitar" ] }, "1028": { "input": "basin", "output": "cuenca", "possible_translations": [ "bol", "pileta", "lavabo", "palangana", "cuenca", "lavamanos" ] }, "1029": { "input": "assembly", "output": "asamblea", "possible_translations": [ "asamblea", "ensamblaje" ] }, "1030": { "input": "prize", "output": "premio", "possible_translations": [ "premio", "botín", "apreciar" ] }, "1031": { "input": "sole", "output": "suela", "possible_translations": [ "único", "planta", "suela", "lenguado", "solo", "planta del pie" ] }, "1032": { "input": "bid", "output": "licitación", "possible_translations": [ "licitación" ] }, "1033": { "input": "advertising", "output": "publicidad", "possible_translations": [ "publicidad" ] }, "1034": { "input": "regime", "output": "régimen", "possible_translations": [ "régimen", "regímenes" ] }, "1035": { "input": "birthday", "output": "cumpleaños", "possible_translations": [ "natalicio", "cumpleaños", "fecha de nacimiento" ] }, "1036": { "input": "delay", "output": "retraso", "possible_translations": [ "demorar", "retrasar", "demora", "retraso" ] }, "1037": { "input": "employment", "output": "empleo", "possible_translations": [ "empleo" ] }, "1038": { "input": "jury", "output": "jurado", "possible_translations": [ "jurado" ] }, "1039": { "input": "attitude", "output": "postura", "possible_translations": [ "postura", "actitud" ] }, "1040": { "input": "hydrogen", "output": "hidrógeno", "possible_translations": [ "hidrógeno" ] }, "1041": { "input": "software", "output": "software", "possible_translations": [ "programa", "software" ] }, "1042": { "input": "translation", "output": "traducción", "possible_translations": [ "traducción", "traslación" ] }, "1043": { "input": "cousin", "output": "primo", "possible_translations": [ "prima", "primo" ] }, "1044": { "input": "swimming", "output": "natación", "possible_translations": [ "natación" ] }, "1045": { "input": "lawyer", "output": "abogado", "possible_translations": [ "notario", "abogado", "abogada" ] }, "1046": { "input": "execution", "output": "ejecución", "possible_translations": [ "ejecución" ] }, "1047": { "input": "terrain", "output": "terreno", "possible_translations": [ "terreno" ] }, "1048": { "input": "electricity", "output": "electricidad", "possible_translations": [ "electricidad" ] }, "1049": { "input": "tenure", "output": "antigüedad", "possible_translations": [ "antigüedad", "arrendamiento", "tenencia" ] }, "1050": { "input": "friendship", "output": "amistad", "possible_translations": [ "amistad" ] }, "1051": { "input": "dream", "output": "sueño", "possible_translations": [ "soñar", "sueño" ] }, "1052": { "input": "bone", "output": "hueso", "possible_translations": [ "hueso", "joder con", "culear", "coger con", "follar con", "deshuesar", "quitar las espinas", "espina" ] }, "1053": { "input": "rhythm", "output": "ritmo", "possible_translations": [ "ritmo" ] }, "1054": { "input": "shop", "output": "tienda", "possible_translations": [ "negocio", "taller", "comercio", "almacén", "tienda", "ir de compras", "changarro" ] }, "1055": { "input": "publisher", "output": "editor", "possible_translations": [ "editorial", "editor" ] }, "1056": { "input": "component", "output": "componente", "possible_translations": [ "componente" ] }, "1057": { "input": "uncle", "output": "tío", "possible_translations": [ "tío" ] }, "1058": { "input": "parliament", "output": "parlamento", "possible_translations": [ "parlamento" ] }, "1059": { "input": "sun", "output": "sol", "possible_translations": [ "orto", "estrella", "puesta de sol", "ocaso", "salida del sol", "asolear", "sol" ] }, "1060": { "input": "precipitation", "output": "precipitación", "possible_translations": [ "precipitación lluvia", "precipitación" ] }, "1061": { "input": "tube", "output": "tubo", "possible_translations": [ "canuto", "tubo" ] }, "1062": { "input": "virus", "output": "virus", "possible_translations": [ "virus" ] }, "1063": { "input": "contribution", "output": "contribución", "possible_translations": [ "aporte", "contribución" ] }, "1064": { "input": "earthquake", "output": "terremoto", "possible_translations": [ "terremoto", "chaka", "temblor" ] }, "1065": { "input": "scholar", "output": "erudito", "possible_translations": [ "docto", "erudito", "sabio", "estudioso", "especialista" ] }, "1066": { "input": "fill", "output": "relleno", "possible_translations": [ "relleno", "llenar" ] }, "1067": { "input": "debt", "output": "deuda", "possible_translations": [ "deuda" ] }, "1068": { "input": "frequency", "output": "frecuencia", "possible_translations": [ "frecuencia" ] }, "1069": { "input": "coat", "output": "cubierta", "possible_translations": [ "cubrir", "abrigo", "saco", "cubierta", "pelaje", "casaca" ] }, "1070": { "input": "destroyer", "output": "destructor", "possible_translations": [ "destructor", "destruidor" ] }, "1071": { "input": "improvement", "output": "mejora", "possible_translations": [ "enmienda", "mejora", "mejoría", "mejoramiento" ] }, "1072": { "input": "doctor", "output": "doctor", "possible_translations": [ "médico", "doctora", "doctor", "médica" ] }, "1073": { "input": "profit", "output": "ganancia", "possible_translations": [ "ganancia", "explotar", "beneficiarse", "beneficio" ] }, "1074": { "input": "trust", "output": "consorcio", "possible_translations": [ "obligación", "confiar", "creer", "confianza", "fe", "esperar", "deber", "fideicomiso", "crédito", "consorcio", "fiar" ] }, "1075": { "input": "touch", "output": "toque", "possible_translations": [ "tocar", "toque" ] }, "1076": { "input": "ballad", "output": "balada", "possible_translations": [ "balada" ] }, "1077": { "input": "bay", "output": "alazán", "possible_translations": [ "alazán", "bahía", "alazana" ] }, "1078": { "input": "investment", "output": "inversión", "possible_translations": [ "inversión" ] }, "1079": { "input": "cannon", "output": "cañón", "possible_translations": [ "cañón" ] }, "1080": { "input": "voting", "output": "votando", "possible_translations": [ "votando" ] }, "1081": { "input": "trough", "output": "vaguada", "possible_translations": [ "vaguada", "comedero" ] }, "1082": { "input": "photography", "output": "fotografía", "possible_translations": [ "fotografía" ] }, "1083": { "input": "parody", "output": "parodia", "possible_translations": [ "parodiar", "parodia" ] }, "1084": { "input": "phrase", "output": "expresión", "possible_translations": [ "sintagma", "formular", "expresión", "frasear", "frase", "expresar" ] }, "1085": { "input": "trail", "output": "sendero", "possible_translations": [ "sendero", "rastro", "arrastrar", "pista", "seguir" ] }, "1086": { "input": "reduction", "output": "reducción", "possible_translations": [ "reducción", "disminución", "rebaja" ] }, "1087": { "input": "ruler", "output": "gobernante", "possible_translations": [ "regla", "gobernante" ] }, "1088": { "input": "shoulder", "output": "hombro", "possible_translations": [ "hombro" ] }, "1089": { "input": "survival", "output": "supervivencia", "possible_translations": [ "supervivencia" ] }, "1090": { "input": "signature", "output": "firma", "possible_translations": [ "firma", "pliego" ] }, "1091": { "input": "communist", "output": "comunista", "possible_translations": [ "comunista" ] }, "1092": { "input": "uranium", "output": "uranio", "possible_translations": [ "uranio" ] }, "1093": { "input": "melody", "output": "melodía", "possible_translations": [ "melodía" ] }, "1094": { "input": "copper", "output": "cobre", "possible_translations": [ "paco", "cobrizo", "cobre" ] }, "1095": { "input": "wish", "output": "deseo", "possible_translations": [ "deseo", "desear" ] }, "1096": { "input": "minority", "output": "minoría", "possible_translations": [ "minoría" ] }, "1097": { "input": "document", "output": "documento", "possible_translations": [ "documento", "documentar" ] }, "1098": { "input": "instrument", "output": "instrumento", "possible_translations": [ "instrumento", "herramienta" ] }, "1099": { "input": "revolt", "output": "rebelión", "possible_translations": [ "alzarse en protesta", "rebelión" ] }, "1100": { "input": "tip", "output": "propina", "possible_translations": [ "dar propina", "propina" ] }, "1101": { "input": "escort", "output": "escolta", "possible_translations": [ "escolta", "escoltar" ] }, "1102": { "input": "programming", "output": "programación", "possible_translations": [ "programación" ] }, "1103": { "input": "sky", "output": "firmamento", "possible_translations": [ "cielos", "cielo", "firmamento" ] }, "1104": { "input": "climb", "output": "subida", "possible_translations": [ "subida", "subir", "escalar", "ascenso", "trepar" ] }, "1105": { "input": "representation", "output": "representación", "possible_translations": [ "representación" ] }, "1106": { "input": "magnitude", "output": "magnitud", "possible_translations": [ "norma", "magnitud" ] }, "1107": { "input": "hole", "output": "hueco", "possible_translations": [ "hueco", "hoyo" ] }, "1108": { "input": "prisoner", "output": "prisionero", "possible_translations": [ "preso", "prisionero" ] }, "1109": { "input": "autumn", "output": "otoño", "possible_translations": [ "otoño" ] }, "1110": { "input": "stream", "output": "flujo", "possible_translations": [ "corriente", "flujo", "arroyo", "fluir", "correr" ] }, "1111": { "input": "abuse", "output": "abuso", "possible_translations": [ "abuso sexual", "abuso", "abusar" ] }, "1112": { "input": "chair", "output": "asiento", "possible_translations": [ "asiento", "silla" ] }, "1113": { "input": "sample", "output": "muestra", "possible_translations": [ "prueba", "muestra", "ejemplar", "samplear" ] }, "1114": { "input": "warfare", "output": "guerra", "possible_translations": [ "guerra" ] }, "1115": { "input": "rivalry", "output": "rivalidad", "possible_translations": [ "rivalidad" ] }, "1116": { "input": "lighting", "output": "iluminación", "possible_translations": [ "iluminación" ] }, "1117": { "input": "biographer", "output": "biógrafo", "possible_translations": [ "biógrafa", "biógrafo" ] }, "1118": { "input": "waste", "output": "pérdida", "possible_translations": [ "pérdida", "desperdiciar", "malgastar" ] }, "1119": { "input": "experiment", "output": "experimento", "possible_translations": [ "experimentar", "experimento" ] }, "1120": { "input": "guide", "output": "guía", "possible_translations": [ "navegar", "guía", "señal", "guiar" ] }, "1121": { "input": "medicine", "output": "medicina", "possible_translations": [ "medicamento", "medicina" ] }, "1122": { "input": "participation", "output": "participación", "possible_translations": [ "participación" ] }, "1123": { "input": "slave", "output": "esclavo", "possible_translations": [ "esclavo", "esclava" ] }, "1124": { "input": "transportation", "output": "transporte", "possible_translations": [ "transporte" ] }, "1125": { "input": "liquid", "output": "líquido", "possible_translations": [ "líquido" ] }, "1126": { "input": "institution", "output": "institución", "possible_translations": [ "institución" ] }, "1127": { "input": "parent", "output": "padre", "possible_translations": [ "origen", "madre", "padre" ] }, "1128": { "input": "salary", "output": "salario", "possible_translations": [ "sueldo", "salario" ] }, "1129": { "input": "recovery", "output": "recuperación", "possible_translations": [ "recuperación" ] }, "1130": { "input": "count", "output": "punto", "possible_translations": [ "cargo", "conde", "cuenta", "contar", "número", "conteo", "importar", "punto" ] }, "1131": { "input": "doubt", "output": "duda", "possible_translations": [ "dudar", "duda", "incertidumbre" ] }, "1132": { "input": "revolution", "output": "revolución", "possible_translations": [ "revolución" ] }, "1133": { "input": "cinema", "output": "cinematógrafo", "possible_translations": [ "película", "cine", "filme", "cinematógrafo" ] }, "1134": { "input": "cloud", "output": "nube", "possible_translations": [ "nublar", "nube" ] }, "1135": { "input": "drummer", "output": "vendedor intinerante", "possible_translations": [ "vendedor intinerante" ] }, "1136": { "input": "cabinet", "output": "consejo", "possible_translations": [ "armario", "consejo", "gabinete" ] }, "1137": { "input": "significance", "output": "significado", "possible_translations": [ "significado" ] }, "1138": { "input": "neighborhood", "output": "barrio", "possible_translations": [ "barrio", "vecindad", "barrio ; colonia", "fraccionamiento" ] }, "1139": { "input": "compound", "output": "compuesto", "possible_translations": [ "compuesto", "compuesto químico", "complejo" ] }, "1140": { "input": "legend", "output": "leyenda", "possible_translations": [ "leyenda" ] }, "1141": { "input": "jump", "output": "salto", "possible_translations": [ "saltar", "salto" ] }, "1142": { "input": "inclusion", "output": "inclusión", "possible_translations": [ "inclusión" ] }, "1143": { "input": "tale", "output": "cuento", "possible_translations": [ "historia", "cuento" ] }, "1144": { "input": "wealth", "output": "riqueza", "possible_translations": [ "riqueza", "prosperidad" ] }, "1145": { "input": "mate", "output": "pareja", "possible_translations": [ "pareja" ] }, "1146": { "input": "ratio", "output": "razón", "possible_translations": [ "proporción", "relación", "razón", "cociente" ] }, "1147": { "input": "liner", "output": "transatlántico", "possible_translations": [ "barco de línea", "transatlántico", "forro" ] }, "1148": { "input": "journal", "output": "bitácora", "possible_translations": [ "gorrón", "bitácora" ] }, "1149": { "input": "grandfather", "output": "abuelo", "possible_translations": [ "abuelo" ] }, "1150": { "input": "throw", "output": "lanzamiento", "possible_translations": [ "tirar", "lanzamiento", "lanzar", "arrojar" ] }, "1151": { "input": "summit", "output": "cumbre", "possible_translations": [ "cima", "pico", "cumbre" ] }, "1152": { "input": "descent", "output": "descenso", "possible_translations": [ "bajada", "origen", "descenso", "ascendencia" ] }, "1153": { "input": "gender", "output": "género", "possible_translations": [ "sexo", "género" ] }, "1154": { "input": "sentence", "output": "sentencia", "possible_translations": [ "sentencia", "condena", "sentenciar", "condenar", "punición", "oración", "pena" ] }, "1155": { "input": "beauty", "output": "guapa", "possible_translations": [ "belleza", "guapa", "guapo" ] }, "1156": { "input": "beating", "output": "latido", "possible_translations": [ "latido" ] }, "1157": { "input": "heritage", "output": "herencia", "possible_translations": [ "herencia" ] }, "1158": { "input": "altitude", "output": "altitud", "possible_translations": [ "altitud", "altura" ] }, "1159": { "input": "trend", "output": "moda", "possible_translations": [ "tendencia", "moda", "tender" ] }, "1160": { "input": "presentation", "output": "presentación", "possible_translations": [ "presentación" ] }, "1161": { "input": "agriculture", "output": "agricultura", "possible_translations": [ "agricultura" ] }, "1162": { "input": "resident", "output": "residente", "possible_translations": [ "residente", "habitante" ] }, "1163": { "input": "sailing", "output": "navegación", "possible_translations": [ "navegación", "náutica" ] }, "1164": { "input": "intervention", "output": "intervención", "possible_translations": [ "intervención" ] }, "1165": { "input": "fame", "output": "fama", "possible_translations": [ "fama" ] }, "1166": { "input": "tribe", "output": "tribu", "possible_translations": [ "tribu" ] }, "1167": { "input": "mythology", "output": "mitología", "possible_translations": [ "mitología" ] }, "1168": { "input": "wine", "output": "vino", "possible_translations": [ "tomar/beber vino", "vino" ] }, "1169": { "input": "confusion", "output": "confusión", "possible_translations": [ "confusión" ] }, "1170": { "input": "error", "output": "error", "possible_translations": [ "errores", "error", "yerro" ] }, "1171": { "input": "answer", "output": "respuesta", "possible_translations": [ "responder", "contestar", "contestación", "respuesta", "servir" ] }, "1172": { "input": "victim", "output": "víctima", "possible_translations": [ "víctima" ] }, "1173": { "input": "worship", "output": "culto", "possible_translations": [ "culto", "venerar", "adoración", "alabanza", "alabar", "adorar" ] }, "1174": { "input": "fate", "output": "destino", "possible_translations": [ "azar", "destino" ] }, "1175": { "input": "sight", "output": "visor", "possible_translations": [ "visión", "lugar de interés", "espectáculo", "mira", "ver", "visor", "avistar", "panorama", "vista", "apuntar" ] }, "1176": { "input": "jurisdiction", "output": "jurisdicción", "possible_translations": [ "jurisdicción" ] }, "1177": { "input": "knee", "output": "rodilla", "possible_translations": [ "rodilla", "hinojo" ] }, "1178": { "input": "observation", "output": "observación", "possible_translations": [ "parecer", "observación", "juicio", "vigilancia ; observancia", "anotación", "comentario", "registro" ] }, "1179": { "input": "interaction", "output": "interacción", "possible_translations": [ "interacción" ] }, "1180": { "input": "voyage", "output": "viaje", "possible_translations": [ "viaje" ] }, "1181": { "input": "girlfriend", "output": "amiga", "possible_translations": [ "amiga", "novia" ] }, "1182": { "input": "sculpture", "output": "escultura", "possible_translations": [ "escultura", "esculpir" ] }, "1183": { "input": "fossil", "output": "fósil", "possible_translations": [ "fósil" ] }, "1184": { "input": "streak", "output": "trazo", "possible_translations": [ "geómetra", "racha", "toque", "trazo", "sarta", "correr desnudo", "rayarse", "raya", "rayar" ] }, "1185": { "input": "lifetime", "output": "eternidad", "possible_translations": [ "vida", "toda la vida", "eternidad" ] }, "1186": { "input": "infrastructure", "output": "infraestructura", "possible_translations": [ "infraestructura" ] }, "1187": { "input": "fee", "output": "honorario", "possible_translations": [ "tarifa", "honorario", "cuota" ] }, "1188": { "input": "disturbance", "output": "perturbación", "possible_translations": [ "estorbo", "disturbio", "trastorno", "perturbación" ] }, "1189": { "input": "gift", "output": "don", "possible_translations": [ "regalo", "don", "dar", "talento", "presente", "regalar" ] }, "1190": { "input": "variation", "output": "variación", "possible_translations": [ "variación" ] }, "1191": { "input": "holiday", "output": "día feriado", "possible_translations": [ "vacación", "vacaciones", "día feriado", "fiesta", "festividad" ] }, "1192": { "input": "pack", "output": "jauría", "possible_translations": [ "jauría" ] }, "1193": { "input": "shock", "output": "choque", "possible_translations": [ "choque" ] }, "1194": { "input": "tape", "output": "cinta adhesiva", "possible_translations": [ "grabar", "cinta adhesiva", "celo", "cinta" ] }, "1195": { "input": "stretch", "output": "elasticidad", "possible_translations": [ "elasticidad", "trecho", "estiramiento", "estirón", "estirarse", "dar", "extenderse", "estirar", "tramo" ] }, "1196": { "input": "divorce", "output": "divorcio", "possible_translations": [ "divorciarse", "divorcio", "divorciar" ] }, "1197": { "input": "motor", "output": "motor", "possible_translations": [ "motor" ] }, "1198": { "input": "pursuit", "output": "persecución", "possible_translations": [ "persecución" ] }, "1199": { "input": "fortress", "output": "fortaleza", "possible_translations": [ "fortaleza" ] }, "1200": { "input": "manuscript", "output": "manuscrito", "possible_translations": [ "manuscrito" ] }, "1201": { "input": "gate", "output": "puerta", "possible_translations": [ "portón", "puerta", "barrera", "compuerta" ] }, "1202": { "input": "span", "output": "cuarta", "possible_translations": [ "palmo", "abarcar", "cuarta", "luz" ] }, "1203": { "input": "bypass", "output": "baipás", "possible_translations": [ "baipás", "variante" ] }, "1204": { "input": "chemistry", "output": "química", "possible_translations": [ "química" ] }, "1205": { "input": "screenplay", "output": "guion", "possible_translations": [ "guion", "script" ] }, "1206": { "input": "manufacturing", "output": "fabricación", "possible_translations": [ "producción", "fabricación" ] }, "1207": { "input": "handling", "output": "alcahuetería", "possible_translations": [ "alcahuetería", "manejo", "encubrimiento", "receptación", "manipulación" ] }, "1208": { "input": "guy", "output": "tipo", "possible_translations": [ "carajo", "mae", "buey", "man", "tercio", "cuate", "jodido", "coño", "gallo", "tío", "vato", "tipo" ] }, "1209": { "input": "mixture", "output": "mezcla", "possible_translations": [ "mezcla" ] }, "1210": { "input": "census", "output": "censo", "possible_translations": [ "censo" ] }, "1211": { "input": "velocity", "output": "velocidad", "possible_translations": [ "velocidad" ] }, "1212": { "input": "examination", "output": "examen", "possible_translations": [ "examinación", "examen" ] }, "1213": { "input": "lift", "output": "ascensor", "possible_translations": [ "levantar", "aventón", "ascensor", "subir", "afanar", "elevador" ] }, "1214": { "input": "trailer", "output": "acoplado", "possible_translations": [ "tráiler", "rulota", "caravana", "avance", "casa rodante", "acoplado" ] }, "1215": { "input": "pitcher", "output": "jarra", "possible_translations": [ "jarra", "activo", "soplanucas", "lanzadora", "lanzador" ] }, "1216": { "input": "skill", "output": "habilidad", "possible_translations": [ "maña", "talento", "habilidad", "destreza" ] }, "1217": { "input": "sword", "output": "espada", "possible_translations": [ "espada" ] }, "1218": { "input": "net", "output": "red", "possible_translations": [ "neto", "líquido", "red" ] }, "1219": { "input": "cable", "output": "cable", "possible_translations": [ "televisión por cable", "telegrama", "cuerda", "cable", "cablegrama" ] }, "1220": { "input": "uniform", "output": "uniforme", "possible_translations": [ "uniforme" ] }, "1221": { "input": "bombardment", "output": "bombardeo", "possible_translations": [ "bombardeo" ] }, "1222": { "input": "costume", "output": "traje", "possible_translations": [ "traje" ] }, "1223": { "input": "tissue", "output": "tejido", "possible_translations": [ "tejido" ] }, "1224": { "input": "prototype", "output": "prototipo", "possible_translations": [ "prototipo" ] }, "1225": { "input": "celebration", "output": "celebración", "possible_translations": [ "celebración" ] }, "1226": { "input": "tornado", "output": "tornado", "possible_translations": [ "tornado" ] }, "1227": { "input": "promise", "output": "promesa", "possible_translations": [ "prometer", "promesa" ] }, "1228": { "input": "laboratory", "output": "laboratorio", "possible_translations": [ "laboratorio" ] }, "1229": { "input": "craft", "output": "oficio", "possible_translations": [ "construir", "labrar", "nave", "desarrollar", "pericia", "oficio" ] }, "1230": { "input": "dozen", "output": "docena", "possible_translations": [ "docena" ] }, "1231": { "input": "feud", "output": "feudo", "possible_translations": [ "rivalidad", "hostilidad", "feudo", "enemistad", "pelea" ] }, "1232": { "input": "chest", "output": "cómoda", "possible_translations": [ "baúl", "pecho", "arca", "caja", "cómoda" ] }, "1233": { "input": "revival", "output": "avivamiento", "possible_translations": [ "avivamiento" ] }, "1234": { "input": "nickname", "output": "apodo", "possible_translations": [ "sobrenombre", "apodo", "chapa", "mote" ] }, "1235": { "input": "politician", "output": "político", "possible_translations": [ "político", "política" ] }, "1236": { "input": "consumption", "output": "consumo", "possible_translations": [ "consumo" ] }, "1237": { "input": "cup", "output": "copa", "possible_translations": [ "copa", "taza" ] }, "1238": { "input": "handle", "output": "instrumento", "possible_translations": [ "instrumento" ] }, "1239": { "input": "harbour", "output": "puerto", "possible_translations": [ "puerto", "refugio", "cobijar" ] }, "1240": { "input": "biography", "output": "biografía", "possible_translations": [ "biografía" ] }, "1241": { "input": "deputy", "output": "suplente", "possible_translations": [ "suplente", "adjunto", "representante", "diputado", "delegado", "sustituto" ] }, "1242": { "input": "lighter", "output": "encendedor", "possible_translations": [ "mechero", "encendedor", "fosforera", "lighter", "briquet", "yesquero" ] }, "1243": { "input": "moon", "output": "satélite", "possible_translations": [ "mes", "satélite", "luna" ] }, "1244": { "input": "evacuation", "output": "evacuación", "possible_translations": [ "evacuación" ] }, "1245": { "input": "clock", "output": "reloj", "possible_translations": [ "medir la velocidad de", "golpear", "cronometrar", "cuentakilómetros", "reloj" ] }, "1246": { "input": "exile", "output": "exilio", "possible_translations": [ "destierro", "exiliado", "desterrado", "exilio", "desterrar", "exiliar" ] }, "1247": { "input": "seed", "output": "semen", "possible_translations": [ "sembrar", "semen", "semilla" ] }, "1248": { "input": "lawsuit", "output": "proceso judicial", "possible_translations": [ "litigio", "pleito", "proceso judicial", "acción" ] }, "1249": { "input": "cathedral", "output": "catedral", "possible_translations": [ "catedral" ] }, "1250": { "input": "relation", "output": "relación", "possible_translations": [ "relación", "relaciones sexuales" ] }, "1251": { "input": "speculation", "output": "especulación", "possible_translations": [ "especulación" ] }, "1252": { "input": "intent", "output": "intención", "possible_translations": [ "intento", "intención", "concentrado", "propósito" ] }, "1253": { "input": "debris", "output": "ruina", "possible_translations": [ "ñiqueñaque", "basura", "ruina", "escombros", "ruinas", "cachureo", "morrena", "fragmentos glaciares", "restos" ] }, "1254": { "input": "sleep", "output": "sueño", "possible_translations": [ "chele", "dormir", "sueño", "legaña", "lagaña" ] }, "1255": { "input": "decrease", "output": "disminución", "possible_translations": [ "disminución", "disminuir" ] }, "1256": { "input": "conquest", "output": "conquista", "possible_translations": [ "conquista" ] }, "1257": { "input": "mechanism", "output": "mecanismo", "possible_translations": [ "mecanismo" ] }, "1258": { "input": "nose", "output": "nariz", "possible_translations": [ "nariz", "morro", "olfato", "hocico" ] }, "1259": { "input": "vicinity", "output": "cercanías", "possible_translations": [ "inmediaciones", "proximidad", "cercanías", "cercanía" ] }, "1260": { "input": "killer", "output": "asesino", "possible_translations": [ "matador", "mortífero", "asesina", "asesino", "mortal" ] }, "1261": { "input": "humanity", "output": "humanidad", "possible_translations": [ "humanidad" ] }, "1262": { "input": "exhibit", "output": "prueba documental", "possible_translations": [ "exhibir", "prueba instrumental", "prueba documental", "exponer" ] }, "1263": { "input": "conversation", "output": "conversación", "possible_translations": [ "conversación" ] }, "1264": { "input": "disorder", "output": "desorden", "possible_translations": [ "disturbio", "desenfreno", "trastorno", "desorden" ] }, "1265": { "input": "suspension", "output": "suspensión", "possible_translations": [ "suspensión" ] }, "1266": { "input": "boyfriend", "output": "novio", "possible_translations": [ "amigo", "pololo", "novio", "enamorado" ] }, "1267": { "input": "helicopter", "output": "helicóptero", "possible_translations": [ "autogiro", "helicóptero" ] }, "1268": { "input": "metre", "output": "metro", "possible_translations": [ "metro" ] }, "1269": { "input": "infection", "output": "infección", "possible_translations": [ "infección" ] }, "1270": { "input": "metric", "output": "métrica", "possible_translations": [ "métrica", "métrico" ] }, "1271": { "input": "stress", "output": "estrés", "possible_translations": [ "tensión", "acentuar", "enfatizar", "tensar", "acento", "estrés", "estresar", "énfasis", "tensionar" ] }, "1272": { "input": "taste", "output": "gusto", "possible_translations": [ "gustar", "gusto", "muestra", "probar", "gustos", "catar" ] }, "1273": { "input": "portrait", "output": "retrato", "possible_translations": [ "retrato" ] }, "1274": { "input": "jet", "output": "azabache", "possible_translations": [ "chorro", "a propulsión", "azabache", "a reacción", "a chorro" ] }, "1275": { "input": "explanation", "output": "explicación", "possible_translations": [ "explicación" ] }, "1276": { "input": "acre", "output": "acre", "possible_translations": [ "acre" ] }, "1277": { "input": "peninsula", "output": "península", "possible_translations": [ "península" ] }, "1278": { "input": "diamond", "output": "diamante", "possible_translations": [ "diamante", "gema" ] }, "1279": { "input": "attorney", "output": "abogado", "possible_translations": [ "notario", "abogado", "abogada" ] }, "1280": { "input": "heir", "output": "heredero", "possible_translations": [ "heredero", "sucesor", "heredera" ] }, "1281": { "input": "roadway", "output": "calzada", "possible_translations": [ "calzada" ] }, "1282": { "input": "truck", "output": "camión", "possible_translations": [ "camioneta", "camión" ] }, "1283": { "input": "bowl", "output": "tazón", "possible_translations": [ "tazón", "cuenco" ] }, "1284": { "input": "user", "output": "usuario", "possible_translations": [ "usuario" ] }, "1285": { "input": "lover", "output": "amante", "possible_translations": [ "amante", "enamorada", "enamorado" ] }, "1286": { "input": "closure", "output": "clausura", "possible_translations": [ "cierre", "clausura" ] }, "1287": { "input": "wheel", "output": "pez gordo", "possible_translations": [ "rueda", "volante", "pez gordo", "rodar", "volar en círculos", "llanta", "circunvolar" ] }, "1288": { "input": "suggestion", "output": "sugestión", "possible_translations": [ "sugestión", "propuesta" ] }, "1289": { "input": "proof", "output": "prueba", "possible_translations": [ "prueba" ] }, "1290": { "input": "fungus", "output": "hongo", "possible_translations": [ "hongo" ] }, "1291": { "input": "conspiracy", "output": "conspiración", "possible_translations": [ "conspiración" ] }, "1292": { "input": "attraction", "output": "atracción", "possible_translations": [ "atracción" ] }, "1293": { "input": "faculty", "output": "facultad", "possible_translations": [ "facultad" ] }, "1294": { "input": "reporter", "output": "reportero", "possible_translations": [ "reportero" ] }, "1295": { "input": "romance", "output": "romance", "possible_translations": [ "romance" ] }, "1296": { "input": "license", "output": "licencia", "possible_translations": [ "licencia", "permiso", "licenciatura" ] }, "1297": { "input": "grass", "output": "hierba", "possible_translations": [ "mota", "césped", "grama", "hierba", "pasto" ] }, "1298": { "input": "sheep", "output": "oveja", "possible_translations": [ "pusilánime", "oveja", "papanatas" ] }, "1299": { "input": "publicity", "output": "publicidad", "possible_translations": [ "publicidad" ] }, "1300": { "input": "parking", "output": "estacionamiento", "possible_translations": [ "aparcamiento", "estacionamiento" ] }, "1301": { "input": "surge", "output": "oleada", "possible_translations": [ "oleada", "sobretensión" ] }, "1302": { "input": "stability", "output": "estabilidad", "possible_translations": [ "estabilidad" ] }, "1303": { "input": "patient", "output": "paciente", "possible_translations": [ "paciente" ] }, "1304": { "input": "noise", "output": "ruido", "possible_translations": [ "ruido" ] }, "1305": { "input": "companion", "output": "compañero", "possible_translations": [ "compañero", "compañera" ] }, "1306": { "input": "drink", "output": "bebida", "possible_translations": [ "bebida", "copa", "chínguere", "trago", "beber", "alipús", "tomar" ] }, "1307": { "input": "check", "output": "cuenta", "possible_translations": [ "jaque", "cotejar", "inspección", "despachar", "cotejo", "controlar", "gancho", "contener", "depositar", "inspeccionar", "examinar", "marca de cotejo", "verificación", "verificar", "comparar", "comprobar", "cuenta", "limitar", "facturar", "examen", "patrón cuadriculado" ] }, "1308": { "input": "telephone", "output": "teléfono", "possible_translations": [ "teléfono", "telefonear", "llamar por teléfono" ] }, "1309": { "input": "cruise", "output": "crucero", "possible_translations": [ "navegar", "crucero" ] }, "1310": { "input": "roster", "output": "lista de personal", "possible_translations": [ "lista de personal" ] }, "1311": { "input": "comment", "output": "comentario", "possible_translations": [ "comentario", "comentar" ] }, "1312": { "input": "tune", "output": "melodía", "possible_translations": [ "melodía", "afinar" ] }, "1313": { "input": "paint", "output": "pintura", "possible_translations": [ "pintar", "pintura" ] }, "1314": { "input": "insurance", "output": "seguro", "possible_translations": [ "seguro" ] }, "1315": { "input": "photo", "output": "foto", "possible_translations": [ "foto", "instantánea", "fotografía" ] }, "1316": { "input": "cash", "output": "efectivo", "possible_translations": [ "efectivo" ] }, "1317": { "input": "crop", "output": "fusta", "possible_translations": [ "cultivo", "fusta", "agosto", "cosecha", "rapado", "rapar", "recortar", "buche" ] }, "1318": { "input": "rice", "output": "arroz", "possible_translations": [ "arroz" ] }, "1319": { "input": "diversity", "output": "diversidad", "possible_translations": [ "diversidad" ] }, "1320": { "input": "pole", "output": "polo", "possible_translations": [ "palo", "polo", "garrocha", "vara" ] }, "1321": { "input": "stuff", "output": "cosas", "possible_translations": [ "disecar", "materia", "rellenar", "lleno", "cosas", "cosa", "atiborrar" ] }, "1322": { "input": "scholarship", "output": "erudición", "possible_translations": [ "erudición", "beca", "sabiduría" ] }, "1323": { "input": "rotation", "output": "rotación", "possible_translations": [ "rotación" ] }, "1324": { "input": "wartime", "output": "tiempo de guerra", "possible_translations": [ "tiempo de guerra" ] }, "1325": { "input": "pink", "output": "rosado", "possible_translations": [ "clavel", "rosado", "pink", "rosa" ] }, "1326": { "input": "monastery", "output": "monasterio", "possible_translations": [ "monasterio" ] }, "1327": { "input": "reconstruction", "output": "reconstrucción", "possible_translations": [ "restauración", "reconstrucción", "reconstrucción de los hechos" ] }, "1328": { "input": "mill", "output": "fábrica", "possible_translations": [ "molino", "moler", "fábrica", "pulir" ] }, "1329": { "input": "spacecraft", "output": "nave espacial", "possible_translations": [ "astronave", "nave espacial" ] }, "1330": { "input": "egg", "output": "huevo", "possible_translations": [ "óvulo", "huevo" ] }, "1331": { "input": "commitment", "output": "compromiso", "possible_translations": [ "compromiso", "acuerdo", "promesa" ] }, "1332": { "input": "radius", "output": "radio", "possible_translations": [ "radio" ] }, "1333": { "input": "crest", "output": "cresta", "possible_translations": [ "cresta", "cornisa" ] }, "1334": { "input": "labour", "output": "parto", "possible_translations": [ "parto", "trabajadores", "campesinos", "trabajar", "trabajo" ] }, "1335": { "input": "revenge", "output": "venganza", "possible_translations": [ "venganza" ] }, "1336": { "input": "exterior", "output": "exterior", "possible_translations": [ "exterior" ] }, "1337": { "input": "consequence", "output": "consecuencia", "possible_translations": [ "consecuencia" ] }, "1338": { "input": "expert", "output": "perito", "possible_translations": [ "experto", "perito" ] }, "1339": { "input": "formula", "output": "fórmula", "possible_translations": [ "fórmula" ] }, "1340": { "input": "runner", "output": "corredor", "possible_translations": [ "corredor" ] }, "1341": { "input": "dust", "output": "polvo", "possible_translations": [ "desempolvar", "espolvorear", "polvo", "limpiar el polvo" ] }, "1342": { "input": "proportion", "output": "proporción", "possible_translations": [ "proporción" ] }, "1343": { "input": "scandal", "output": "escándalo", "possible_translations": [ "escándalo" ] }, "1344": { "input": "shield", "output": "escudo", "possible_translations": [ "escudo", "proteger", "blindar" ] }, "1345": { "input": "mansion", "output": "mansión", "possible_translations": [ "mansión", "palacete" ] }, "1346": { "input": "electron", "output": "electrón", "possible_translations": [ "electrón" ] }, "1347": { "input": "outcome", "output": "resultado", "possible_translations": [ "consecuencia", "objetivos", "resultado" ] }, "1348": { "input": "logo", "output": "logotipo", "possible_translations": [ "logotipo" ] }, "1349": { "input": "transmission", "output": "caja de cambios", "possible_translations": [ "caja de cambios", "transmisión" ] }, "1350": { "input": "consideration", "output": "consideración", "possible_translations": [ "consideración" ] }, "1351": { "input": "autobiography", "output": "autobiografía", "possible_translations": [ "autobiografía" ] }, "1352": { "input": "vegetation", "output": "vegetación", "possible_translations": [ "vegetación" ] }, "1353": { "input": "rider", "output": "jinete", "possible_translations": [ "jinete" ] }, "1354": { "input": "depiction", "output": "representación", "possible_translations": [ "representación" ] }, "1355": { "input": "monster", "output": "monstruo", "possible_translations": [ "monstruo" ] }, "1356": { "input": "punishment", "output": "castigo", "possible_translations": [ "castigo", "penitencia" ] }, "1357": { "input": "custom", "output": "a medida", "possible_translations": [ "habituación", "costumbre", "con especificaciones", "especializado", "al pedido", "único", "a órden", "a medida", "encargo", "personalizado" ] }, "1358": { "input": "worker", "output": "obrera", "possible_translations": [ "obrero", "obrera", "trabajador" ] }, "1359": { "input": "presidency", "output": "presidencia", "possible_translations": [ "presidencia" ] }, "1360": { "input": "doctrine", "output": "doctrina", "possible_translations": [ "doctrina" ] }, "1361": { "input": "pound", "output": "libra", "possible_translations": [ "pulverizar", "libra", "pilar", "perrera" ] }, "1362": { "input": "assassination", "output": "magnicidio", "possible_translations": [ "magnicidio", "asesinato" ] }, "1363": { "input": "sum", "output": "cantidad", "possible_translations": [ "cantidad", "suma", "sumar", "adición" ] }, "1364": { "input": "achievement", "output": "logro", "possible_translations": [ "logro", "realización" ] }, "1365": { "input": "payment", "output": "pago", "possible_translations": [ "pago" ] }, "1366": { "input": "nephew", "output": "sobrino", "possible_translations": [ "sobrino" ] }, "1367": { "input": "switch", "output": "aguja", "possible_translations": [ "interruptor", "latigazo", "intercambiar", "aguja", "conmutador", "cambiar", "switch" ] }, "1368": { "input": "phenomenon", "output": "fenómeno", "possible_translations": [ "fenómeno" ] }, "1369": { "input": "width", "output": "anchura", "possible_translations": [ "anchura" ] }, "1370": { "input": "venture", "output": "aventura", "possible_translations": [ "arriesgar", "aventura" ] }, "1371": { "input": "hypothesis", "output": "hipótesis", "possible_translations": [ "hipótesis" ] }, "1372": { "input": "mail", "output": "malla", "possible_translations": [ "enviar por correo", "correo", "correo electrónico", "mail", "malla" ] }, "1373": { "input": "witness", "output": "testigo", "possible_translations": [ "testimonio", "evidencia", "prueba", "testificar", "testigo", "probar" ] }, "1374": { "input": "poverty", "output": "pobreza", "possible_translations": [ "pobreza", "pauperismo" ] }, "1375": { "input": "awareness", "output": "conciencia", "possible_translations": [ "conciencia" ] }, "1376": { "input": "corruption", "output": "corrupción", "possible_translations": [ "corrupción" ] }, "1377": { "input": "curve", "output": "curva", "possible_translations": [ "curvar", "curvas", "curva", "encorvar" ] }, "1378": { "input": "flower", "output": "flor", "possible_translations": [ "florecer", "flor" ] }, "1379": { "input": "exploration", "output": "exploración", "possible_translations": [ "exploración" ] }, "1380": { "input": "bell", "output": "campana", "possible_translations": [ "campanilla", "campana" ] }, "1381": { "input": "procedure", "output": "procedimiento", "possible_translations": [ "trámite", "procedimiento" ] }, "1382": { "input": "choir", "output": "coro", "possible_translations": [ "coro" ] }, "1383": { "input": "shaft", "output": "asta", "possible_translations": [ "", "mango", "astil", "raquis", "pozo", "caña", "asta", "haz", "tronco", "cañón", "eje", "rayo", "hueco", "barra" ] }, "1384": { "input": "ceiling", "output": "techo", "possible_translations": [ "techo" ] }, "1385": { "input": "mystery", "output": "misterio", "possible_translations": [ "misterio" ] }, "1386": { "input": "villain", "output": "villano", "possible_translations": [ "villano" ] }, "1387": { "input": "spite", "output": "despecho", "possible_translations": [ "malicia", "rencor", "despecho" ] }, "1388": { "input": "cat", "output": "tío", "possible_translations": [ "gata", "gato", "tío", "felino", "tipo", "felina" ] }, "1389": { "input": "requirement", "output": "exigencia", "possible_translations": [ "requisito", "exigencia" ] }, "1390": { "input": "acceptance", "output": "aceptación", "possible_translations": [ "aceptación" ] }, "1391": { "input": "horsepower", "output": "caballo de vapor", "possible_translations": [ "caballo de vapor", "CV" ] }, "1392": { "input": "associate", "output": "asociado", "possible_translations": [ "asociar", "relacionar", "asociado" ] }, "1393": { "input": "bond", "output": "enlace", "possible_translations": [ "enlace" ] }, "1394": { "input": "navigation", "output": "aeronavegación", "possible_translations": [ "aeronavegación" ] }, "1395": { "input": "cameo", "output": "camafeo", "possible_translations": [ "", "camafeo" ] }, "1396": { "input": "compromise", "output": "acuerdo", "possible_translations": [ "compromiso", "acuerdo", "arreglo", "comprometerse" ] }, "1397": { "input": "treat", "output": "sorpresa", "possible_translations": [ "tratar", "negociar", "sorpresa", "sorprender", "invitar", "rogar", "convidar", "tratado" ] }, "1398": { "input": "faction", "output": "facción", "possible_translations": [ "facción" ] }, "1399": { "input": "gauge", "output": "galga", "possible_translations": [ "galga", "medida", "calibre", "calibración", "medir", "trocha" ] }, "1400": { "input": "dive", "output": "clavado", "possible_translations": [ "buceo", "hacer un clavado", "bucear", "antro", "clavado" ] }, "1401": { "input": "goddess", "output": "diosa", "possible_translations": [ "diosa" ] }, "1402": { "input": "consensus", "output": "consenso", "possible_translations": [ "consenso" ] }, "1403": { "input": "tooth", "output": "diente", "possible_translations": [ "diente" ] }, "1404": { "input": "variant", "output": "variante", "possible_translations": [ "variante" ] }, "1405": { "input": "monarch", "output": "monarca", "possible_translations": [ "monarca" ] }, "1406": { "input": "grid", "output": "cuadrícula", "possible_translations": [ "cuadrícula", "matriz", "red", "cuadricular" ] }, "1407": { "input": "loyalty", "output": "lealtad", "possible_translations": [ "lealtad" ] }, "1408": { "input": "cotton", "output": "algodón", "possible_translations": [ "llevarse bien", "de algodón", "algodón" ] }, "1409": { "input": "battlefield", "output": "campo de batalla", "possible_translations": [ "campo de batalla" ] }, "1410": { "input": "assessment", "output": "evaluación", "possible_translations": [ "valoración", "evaluación" ] }, "1411": { "input": "seal", "output": "sello", "possible_translations": [ "junta", "empaque", "foca", "sello", "empaquetadura", "cierre", "sellar", "zapatilla" ] }, "1412": { "input": "wire", "output": "alambre", "possible_translations": [ "alambre", "hilo" ] }, "1413": { "input": "highlight", "output": "enfatización", "possible_translations": [ "enfatización", "resalte", "marcar", "rizo", "enfatizar", "resaltar" ] }, "1414": { "input": "reader", "output": "lector", "possible_translations": [ "lectora", "lector" ] }, "1415": { "input": "flesh", "output": "carne", "possible_translations": [ "carne", "pellejo" ] }, "1416": { "input": "sheet", "output": "capa", "possible_translations": [ "capa", "escota", "hoja" ] }, "1417": { "input": "referee", "output": "árbitro", "possible_translations": [ "arbitrar", "árbitro", "revisor", "réferi" ] }, "1418": { "input": "declaration", "output": "declaración", "possible_translations": [ "declaración" ] }, "1419": { "input": "missile", "output": "proyectil", "possible_translations": [ "misil", "proyectil" ] }, "1420": { "input": "airfield", "output": "aeródromo", "possible_translations": [ "aeródromo", "campo de aviación" ] }, "1421": { "input": "discipline", "output": "disciplina", "possible_translations": [ "disciplina", "ramo", "castigo" ] }, "1422": { "input": "mistake", "output": "error", "possible_translations": [ "entender mal", "error", "confundir", "equivocación" ] }, "1423": { "input": "sacrifice", "output": "sacrificio", "possible_translations": [ "sacrificio", "sacrificar" ] }, "1424": { "input": "audition", "output": "audición", "possible_translations": [ "oído", "audición", "hacer una audición" ] }, "1425": { "input": "harm", "output": "daño", "possible_translations": [ "dañar", "daño" ] }, "1426": { "input": "frigate", "output": "fragata", "possible_translations": [ "fragata" ] }, "1427": { "input": "syndrome", "output": "síndrome", "possible_translations": [ "síndrome" ] }, "1428": { "input": "supporter", "output": "soporte", "possible_translations": [ "soporte", "tenante" ] }, "1429": { "input": "machinery", "output": "maquinaria", "possible_translations": [ "mecánica", "máquinas", "maquinaria" ] }, "1430": { "input": "migration", "output": "migración", "possible_translations": [ "migración" ] }, "1431": { "input": "locomotive", "output": "locomotora", "possible_translations": [ "locomotor", "locomotora" ] }, "1432": { "input": "stroke", "output": "golpe", "possible_translations": [ "accidente cerebro vascular", "apoplejía", "trazo", "remada", "brazada", "acariciar", "golpe", "caricia", "pincelada" ] }, "1433": { "input": "custody", "output": "custodia", "possible_translations": [ "tutela", "custodia" ] }, "1434": { "input": "shopping", "output": "shopping", "possible_translations": [ "shopping" ] }, "1435": { "input": "hunt", "output": "caza", "possible_translations": [ "caza", "cazar" ] }, "1436": { "input": "proximity", "output": "proximidad", "possible_translations": [ "proximidad", "cercanía" ] }, "1437": { "input": "joke", "output": "broma", "possible_translations": [ "chiste", "broma", "bromear" ] }, "1438": { "input": "currency", "output": "moneda", "possible_translations": [ "moneda" ] }, "1439": { "input": "whale", "output": "ballena", "possible_translations": [ "ballena" ] }, "1440": { "input": "beer", "output": "cerveza", "possible_translations": [ "cerveza" ] }, "1441": { "input": "rocket", "output": "cohete", "possible_translations": [ "roqueta", "motor de cohete", "oruga", "ruca", "rúcula", "cohete" ] }, "1442": { "input": "aviation", "output": "aviación", "possible_translations": [ "aviación" ] }, "1443": { "input": "spell", "output": "rato", "possible_translations": [ "presagiar", "encanto", "hechizo", "conjuro", "brujería", "anunciar", "rato", "encantamiento", "berrinche", "descifrar", "período", "pataleta", "deletrear" ] }, "1444": { "input": "gathering", "output": "fiesta", "possible_translations": [ "fiesta" ] }, "1445": { "input": "cylinder", "output": "cilindro", "possible_translations": [ "cilindro" ] }, "1446": { "input": "cave", "output": "cueva", "possible_translations": [ "cueva" ] }, "1447": { "input": "leaf", "output": "hoja", "possible_translations": [ "tablero", "hoja" ] }, "1448": { "input": "stick", "output": "bastón", "possible_translations": [ "palo", "permanecer", "palanca de mando", "clavar", "palanca de cambios", "poner", "pegarse", "palo de hockey", "seguir de cerca", "bastón", "astilla", "barra", "atascarse", "ramita", "pegar" ] }, "1449": { "input": "installation", "output": "instalación", "possible_translations": [ "instalación" ] }, "1450": { "input": "massacre", "output": "masacre", "possible_translations": [ "masacrar", "masacre" ] }, "1451": { "input": "tourism", "output": "turismo", "possible_translations": [ "turismo" ] }, "1452": { "input": "gravity", "output": "gravedad", "possible_translations": [ "gravedad" ] }, "1453": { "input": "therapy", "output": "terapia", "possible_translations": [ "terapia" ] }, "1454": { "input": "widow", "output": "viuda", "possible_translations": [ "viuda" ] }, "1455": { "input": "hook", "output": "anzuelo", "possible_translations": [ "enganchar", "gancho", "garfio", "anzuelo" ] }, "1456": { "input": "deployment", "output": "despliegue", "possible_translations": [ "implementación", "despliegue" ] }, "1457": { "input": "milk", "output": "leche", "possible_translations": [ "leche", "ordeñar" ] }, "1458": { "input": "transit", "output": "tránsito", "possible_translations": [ "tránsito", "atravesar", "transitar", "pasaje", "girar", "transporte" ] }, "1459": { "input": "prospect", "output": "expectativa", "possible_translations": [ "posibilidad", "expectativa", "prospectiva" ] }, "1460": { "input": "cooperation", "output": "cooperación", "possible_translations": [ "cooperación" ] }, "1461": { "input": "captivity", "output": "cautividad", "possible_translations": [ "cautividad" ] }, "1462": { "input": "gear", "output": "marcha", "possible_translations": [ "engranaje", "velocidad", "marcha", "cambio", "engranar", "equipo" ] }, "1463": { "input": "corridor", "output": "pasillo", "possible_translations": [ "corredor", "pasillo" ] }, "1464": { "input": "volcano", "output": "volcán", "possible_translations": [ "volcán" ] }, "1465": { "input": "shirt", "output": "camisa", "possible_translations": [ "camisa" ] }, "1466": { "input": "delegation", "output": "delegación", "possible_translations": [ "delegación" ] }, "1467": { "input": "hybrid", "output": "híbrido", "possible_translations": [ "híbrido" ] }, "1468": { "input": "coalition", "output": "coalición", "possible_translations": [ "coalición" ] }, "1469": { "input": "developer", "output": "promotor", "possible_translations": [ "promotor" ] }, "1470": { "input": "trick", "output": "truco", "possible_translations": [ "engañar", "engrupir", "artimaña", "truco" ] }, "1471": { "input": "jaw", "output": "mandíbula", "possible_translations": [ "mandíbula" ] }, "1472": { "input": "thickness", "output": "grosor", "possible_translations": [ "grosor", "torpeza" ] }, "1473": { "input": "photograph", "output": "fotografía", "possible_translations": [ "tomar una foto", "foto", "fotografiar", "fotografía" ] }, "1474": { "input": "kiss", "output": "beso", "possible_translations": [ "besar", "beso", "besarse" ] }, "1475": { "input": "pregnancy", "output": "embarazo", "possible_translations": [ "embarazo" ] }, "1476": { "input": "trophy", "output": "trofeo", "possible_translations": [ "trofeo" ] }, "1477": { "input": "oak", "output": "roble", "possible_translations": [ "roble" ] }, "1478": { "input": "file", "output": "archivo", "possible_translations": [ "archivar", "guardar", "fichero", "gestionar", "archivo", "lima", "fila", "limar" ] }, "1479": { "input": "acquisition", "output": "adquisición", "possible_translations": [ "adquisición" ] }, "1480": { "input": "collision", "output": "colisión", "possible_translations": [ "colisión" ] }, "1481": { "input": "kitchen", "output": "cocina", "possible_translations": [ "cocina" ] }, "1482": { "input": "conjunction", "output": "conjunción", "possible_translations": [ "unión", "conjunción" ] }, "1483": { "input": "scenario", "output": "escenario", "possible_translations": [ "escenario" ] }, "1484": { "input": "package", "output": "paquete", "possible_translations": [ "paquete", "empaquetar" ] }, "1485": { "input": "substance", "output": "sustancia", "possible_translations": [ "sustancia" ] }, "1486": { "input": "roller", "output": "rodillo", "possible_translations": [ "carraca", "rodillo" ] }, "1487": { "input": "tennis", "output": "tenis", "possible_translations": [ "tenis" ] }, "1488": { "input": "motorway", "output": "autopista", "possible_translations": [ "autovía", "autopista" ] }, "1489": { "input": "progression", "output": "progresión", "possible_translations": [ "progresión" ] }, "1490": { "input": "topic", "output": "tema", "possible_translations": [ "tema" ] }, "1491": { "input": "demonstration", "output": "demostración", "possible_translations": [ "manifestación", "demostración" ] }, "1492": { "input": "erosion", "output": "erosión", "possible_translations": [ "erosión" ] }, "1493": { "input": "climbing", "output": "escalada", "possible_translations": [ "escalada" ] }, "1494": { "input": "suburb", "output": "afueras", "possible_translations": [ "arrabal", "afueras" ] }, "1495": { "input": "muzzle", "output": "bozal", "possible_translations": [ "bozal", "amordazar", "hocico" ] }, "1496": { "input": "plutonium", "output": "plutonio", "possible_translations": [ "plutonio" ] }, "1497": { "input": "wound", "output": "herida", "possible_translations": [ "lesionar", "llaga", "herida", "herir" ] }, "1498": { "input": "monitor", "output": "monitor", "possible_translations": [ "monitor", "controlar" ] }, "1499": { "input": "dawn", "output": "alba", "possible_translations": [ "alba", "aurora", "madrugada", "amanecer" ] }, "1500": { "input": "attachment", "output": "apego", "possible_translations": [ "cariño", "archivo adjunto", "ejecución", "apego", "afición" ] }, "1501": { "input": "essay", "output": "ensayo", "possible_translations": [ "ensayo" ] }, "1502": { "input": "golf", "output": "golf", "possible_translations": [ "golf" ] }, "1503": { "input": "grain", "output": "grano", "possible_translations": [ "veta", "grano" ] }, "1504": { "input": "amendment", "output": "enmienda", "possible_translations": [ "enmienda" ] }, "1505": { "input": "pleasure", "output": "placer", "possible_translations": [ "placer" ] }, "1506": { "input": "upgrade", "output": "mejora", "possible_translations": [ "mejora", "mejorar", "actualizar" ] }, "1507": { "input": "hamlet", "output": "aldehuela", "possible_translations": [ "aldea", "caserío", "aldehuela" ] }, "1508": { "input": "backup", "output": "respaldo", "possible_translations": [ "reserva", "copia de seguridad", "de reserva", "respaldo" ] }, "1509": { "input": "stance", "output": "postura", "possible_translations": [ "postura" ] }, "1510": { "input": "wreck", "output": "choque", "possible_translations": [ "destruir", "arruinar", "trasto", "cacharro", "choque" ] }, "1511": { "input": "muscle", "output": "músculo", "possible_translations": [ "músculo" ] }, "1512": { "input": "grandson", "output": "nieto", "possible_translations": [ "nieto" ] }, "1513": { "input": "citizen", "output": "ciudadano", "possible_translations": [ "ciudadano", "ciudadana" ] }, "1514": { "input": "ensemble", "output": "conjunto", "possible_translations": [ "conjunto" ] }, "1515": { "input": "speaker", "output": "altavoz", "possible_translations": [ "oradora", "altavoz", "orador", "hablante" ] }, "1516": { "input": "input", "output": "insumo", "possible_translations": [ "insumo", "introducir" ] }, "1517": { "input": "item", "output": "ítem", "possible_translations": [ "ítem" ] }, "1518": { "input": "barrier", "output": "barrera", "possible_translations": [ "límite", "barrera" ] }, "1519": { "input": "rookie", "output": "novato", "possible_translations": [ "novato", "novicio" ] }, "1520": { "input": "scrap", "output": "chatarra", "possible_translations": [ "resto", "chatarra", "desguazar", "sobras", "restos", "achatarrar" ] }, "1521": { "input": "layout", "output": "replanteo", "possible_translations": [ "diseño", "estructura", "esquema", "maqueta", "plano de replanteo", "replanteo" ] }, "1522": { "input": "darkness", "output": "oscuridad", "possible_translations": [ "oscuridad" ] }, "1523": { "input": "invitation", "output": "invitación", "possible_translations": [ "invitación" ] }, "1524": { "input": "monarchy", "output": "monarquía", "possible_translations": [ "monarquía" ] }, "1525": { "input": "midnight", "output": "medianoche", "possible_translations": [ "medianoche" ] }, "1526": { "input": "diary", "output": "diario", "possible_translations": [ "diario" ] }, "1527": { "input": "consent", "output": "consenso", "possible_translations": [ "consentir", "consenso" ] }, "1528": { "input": "disappointment", "output": "decepción", "possible_translations": [ "decepción" ] }, "1529": { "input": "employee", "output": "empleado", "possible_translations": [ "empleado", "empleada" ] }, "1530": { "input": "anger", "output": "ira", "possible_translations": [ "enfado", "enojarse", "enojo", "enojar", "ira", "bravura", "rabia" ] }, "1531": { "input": "destination", "output": "destino", "possible_translations": [ "destino" ] }, "1532": { "input": "inscription", "output": "inscripción", "possible_translations": [ "inscripción", "dedicatoria" ] }, "1533": { "input": "celebrity", "output": "celebridad", "possible_translations": [ "celebridad" ] }, "1534": { "input": "soap", "output": "jabón", "possible_translations": [ "enjabonarse", "jabón", "enjabonar" ] }, "1535": { "input": "tide", "output": "marea", "possible_translations": [ "marea" ] }, "1536": { "input": "fusion", "output": "fusión", "possible_translations": [ "fusión", "derretimiento fundición" ] }, "1537": { "input": "assignment", "output": "tarea", "possible_translations": [ "tarea" ] }, "1538": { "input": "mirror", "output": "espejo", "possible_translations": [ "espejo" ] }, "1539": { "input": "physician", "output": "médico", "possible_translations": [ "médico" ] }, "1540": { "input": "testimony", "output": "testimonio", "possible_translations": [ "testimonio" ] }, "1541": { "input": "accuracy", "output": "exactitud", "possible_translations": [ "precisión", "exactitud" ] }, "1542": { "input": "cartoon", "output": "dibujos animados", "possible_translations": [ "chiste", "tira cómica", "diagrama", "dibujos animados", "monos animados", "caricatura", "boceto" ] }, "1543": { "input": "arcade", "output": "galería", "possible_translations": [ "arcada", "galería", "galería comercial" ] }, "1544": { "input": "rifle", "output": "fusil", "possible_translations": [ "fusil", "rifle" ] }, "1545": { "input": "momentum", "output": "cantidad de movimiento", "possible_translations": [ "cantidad de movimiento", "ímpetu" ] }, "1546": { "input": "clergy", "output": "clero", "possible_translations": [ "clero" ] }, "1547": { "input": "swing", "output": "columpio", "possible_translations": [ "balancear", "oscilar", "columpio", "hamaca", "columpiar", "mecer" ] }, "1548": { "input": "hardware", "output": "arma de fuego", "possible_translations": [ "hardware", "arma de fuego", "fierros" ] }, "1549": { "input": "colonel", "output": "coronel", "possible_translations": [ "coronel" ] }, "1550": { "input": "nobility", "output": "nobleza", "possible_translations": [ "nobleza" ] }, "1551": { "input": "liver", "output": "hígado", "possible_translations": [ "hígado" ] }, "1552": { "input": "bassist", "output": "bajista", "possible_translations": [ "bajista" ] }, "1553": { "input": "bench", "output": "banco", "possible_translations": [ "banco", "banca" ] }, "1554": { "input": "enforcement", "output": "compulsión", "possible_translations": [ "coerción", "aplicación", "compulsión", "ejecución" ] }, "1555": { "input": "myth", "output": "mito", "possible_translations": [ "mito" ] }, "1556": { "input": "duet", "output": "dúo", "possible_translations": [ "dueto", "dúo" ] }, "1557": { "input": "freight", "output": "flete", "possible_translations": [ "flete", "carga" ] }, "1558": { "input": "accordance", "output": "acuerdo", "possible_translations": [ "conformidad", "acuerdo" ] }, "1559": { "input": "congregation", "output": "congregación", "possible_translations": [ "congregación" ] }, "1560": { "input": "maturity", "output": "madurez", "possible_translations": [ "madurez" ] }, "1561": { "input": "commerce", "output": "comercio", "possible_translations": [ "comercio" ] }, "1562": { "input": "municipality", "output": "municipio", "possible_translations": [ "municipio" ] }, "1563": { "input": "imprisonment", "output": "encarcelamiento", "possible_translations": [ "encarcelamiento" ] }, "1564": { "input": "skeleton", "output": "esqueleto", "possible_translations": [ "esqueleto", "estructura" ] }, "1565": { "input": "extinction", "output": "extinción", "possible_translations": [ "extinción" ] }, "1566": { "input": "passion", "output": "pasión", "possible_translations": [ "pasión" ] }, "1567": { "input": "prayer", "output": "oración", "possible_translations": [ "oradora", "rezo", "orador", "oración" ] }, "1568": { "input": "limestone", "output": "caliza", "possible_translations": [ "caliza" ] }, "1569": { "input": "specialist", "output": "especialista", "possible_translations": [ "especialista" ] }, "1570": { "input": "sketch", "output": "esbozo", "possible_translations": [ "bosquejar", "esbozar", "esquicio", "esbozo", "sketch", "bosquejo", "boceto" ] }, "1571": { "input": "scope", "output": "mira", "possible_translations": [ "alcance", "mira", "ámbito" ] }, "1572": { "input": "burn", "output": "quemar", "possible_translations": [ "quemar", "quemadura", "arder" ] }, "1573": { "input": "nationalist", "output": "nacionalista", "possible_translations": [ "nacionalista" ] }, "1574": { "input": "subsidiary", "output": "filial", "possible_translations": [ "filial", "subsidiaria" ] }, "1575": { "input": "resort", "output": "recurso", "possible_translations": [ "refugio", "reordenar", "realinear", "cambiar planes", "reacomodar", "estación turística", "recurso" ] }, "1576": { "input": "efficiency", "output": "eficiencia", "possible_translations": [ "eficiencia" ] }, "1577": { "input": "volunteer", "output": "voluntario", "possible_translations": [ "voluntario" ] }, "1578": { "input": "runway", "output": "pasarela", "possible_translations": [ "pista de despegue", "pasarela", "pista", "pista de aterrizaje" ] }, "1579": { "input": "sphere", "output": "esfera", "possible_translations": [ "bola", "esfera" ] }, "1580": { "input": "summary", "output": "resumen", "possible_translations": [ "sumario", "resumen", "apurado", "juizio apurado", "a todo dar" ] }, "1581": { "input": "trademark", "output": "marca registrada", "possible_translations": [ "marca", "marca registrada" ] }, "1582": { "input": "instruction", "output": "instrucción", "possible_translations": [ "instrucción" ] }, "1583": { "input": "perception", "output": "percepción", "possible_translations": [ "percepción" ] }, "1584": { "input": "garage", "output": "garaje", "possible_translations": [ "taller", "garaje" ] }, "1585": { "input": "sexuality", "output": "sexualidad", "possible_translations": [ "sexualidad" ] }, "1586": { "input": "lock", "output": "llave", "possible_translations": [ "rulo", "acerrojar", "bloquearse", "cerrar con llave", "esclusa", "bucle", "cerradura", "candar", "llave", "mecha", "candado" ] }, "1587": { "input": "freshman", "output": "novato", "possible_translations": [ "novato", "mechón" ] }, "1588": { "input": "tool", "output": "herramienta", "possible_translations": [ "herramienta", "utensilio" ] }, "1589": { "input": "domain", "output": "dominio", "possible_translations": [ "esfera", "dominio" ] }, "1590": { "input": "rape", "output": "violación", "possible_translations": [ "violación", "violar" ] }, "1591": { "input": "inquiry", "output": "inquisición", "possible_translations": [ "indagatoria", "inquisición" ] }, "1592": { "input": "tendency", "output": "tendencia", "possible_translations": [ "tendencia" ] }, "1593": { "input": "permit", "output": "permiso", "possible_translations": [ "permiso", "permitir" ] }, "1594": { "input": "athlete", "output": "atleta", "possible_translations": [ "atleta", "atletica", "deportista" ] }, "1595": { "input": "coffee", "output": "café", "possible_translations": [ "cafeto", "feca", "tinto", "grano de café", "café" ] }, "1596": { "input": "mask", "output": "máscara", "possible_translations": [ "mascarada", "máscara", "enmascarar", "capa", "cubrir" ] }, "1597": { "input": "availability", "output": "disponibilidad", "possible_translations": [ "disponibilidad" ] }, "1598": { "input": "synthesis", "output": "síntesis", "possible_translations": [ "deducción", "síntesis" ] }, "1599": { "input": "painter", "output": "pintor", "possible_translations": [ "barnizador", "barnizadora", "pintor", "pintora" ] }, "1600": { "input": "referendum", "output": "referéndum", "possible_translations": [ "referéndum" ] }, "1601": { "input": "basement", "output": "sótano", "possible_translations": [ "sótano" ] }, "1602": { "input": "judgment", "output": "juicio", "possible_translations": [ "juicio" ] }, "1603": { "input": "quest", "output": "búsqueda", "possible_translations": [ "búsqueda" ] }, "1604": { "input": "trap", "output": "trampa", "possible_translations": [ "sifón", "trampa", "cepo", "atrapar" ] }, "1605": { "input": "cream", "output": "crema", "possible_translations": [ "crema", "nata", "de color crema", "hacer polvo", "la crema", "hacer papilla", "mezclar con crema", "pasta", "la flor y la crema" ] }, "1606": { "input": "ballot", "output": "papeleta de voto", "possible_translations": [ "candidatura", "balota", "votar", "elecciones", "papeleta de voto", "balotar" ] }, "1607": { "input": "performer", "output": "artista", "possible_translations": [ "artista" ] }, "1608": { "input": "adoption", "output": "adopción", "possible_translations": [ "adopción" ] }, "1609": { "input": "homage", "output": "homenaje", "possible_translations": [ "homenaje" ] }, "1610": { "input": "citizenship", "output": "ciudadanía", "possible_translations": [ "ciudadanía" ] }, "1611": { "input": "regulation", "output": "regulación", "possible_translations": [ "regulación", "reglamento" ] }, "1612": { "input": "mouse", "output": "ratón", "possible_translations": [ "mouse", "ratón" ] }, "1613": { "input": "countryside", "output": "campo", "possible_translations": [ "campo" ] }, "1614": { "input": "goalkeeper", "output": "arquero", "possible_translations": [ "portero", "guardameta", "arquero", "golero" ] }, "1615": { "input": "cabin", "output": "cabina", "possible_translations": [ "camarote", "cabina", "cabaña", "barraca" ] }, "1616": { "input": "colleague", "output": "colega", "possible_translations": [ "compañero", "colega" ] }, "1617": { "input": "receiver", "output": "receptor", "possible_translations": [ "receptor", "destinatario" ] }, "1618": { "input": "stomach", "output": "barriga", "possible_translations": [ "barriga", "vientre", "estómago" ] }, "1619": { "input": "democracy", "output": "democracia", "possible_translations": [ "democracia" ] }, "1620": { "input": "installment", "output": "instalación", "possible_translations": [ "instalación" ] }, "1621": { "input": "throat", "output": "tráquea", "possible_translations": [ "tráquea", "cuello", "garganta" ] }, "1622": { "input": "genius", "output": "genio", "possible_translations": [ "genio", "genia" ] }, "1623": { "input": "keyboard", "output": "teclado", "possible_translations": [ "teclado", "teclear" ] }, "1624": { "input": "fortune", "output": "fortuna", "possible_translations": [ "fortuna" ] }, "1625": { "input": "diagnosis", "output": "diagnóstico", "possible_translations": [ "diagnóstico", "diagnosis" ] }, "1626": { "input": "mud", "output": "lodo", "possible_translations": [ "fango", "barro", "lodo" ] }, "1627": { "input": "silence", "output": "silencio", "possible_translations": [ "silenciar", "hacer callar", "silencio" ] }, "1628": { "input": "activist", "output": "activista", "possible_translations": [ "activista" ] }, "1629": { "input": "businessman", "output": "hombre de negocios", "possible_translations": [ "empresario", "hombre de negocios" ] }, "1630": { "input": "editorial", "output": "editorial", "possible_translations": [ "editorial" ] }, "1631": { "input": "cluster", "output": "grupo", "possible_translations": [ "grupo", "racimo", "amontonar", "acorde", "agruparse", "amontonamiento", "cúmulo", "agrupamiento", "agrupación", "aglomerar" ] }, "1632": { "input": "configuration", "output": "configuración", "possible_translations": [ "configuración" ] }, "1633": { "input": "complement", "output": "complemento", "possible_translations": [ "complemento", "complementar", "complementarse" ] }, "1634": { "input": "morale", "output": "entusiasmo", "possible_translations": [ "disposición", "entusiasmo", "ánimo" ] }, "1635": { "input": "conductor", "output": "director", "possible_translations": [ "director", "revisor", "guarda", "conductor", "inspector" ] }, "1636": { "input": "plastic", "output": "plástico", "possible_translations": [ "de plástico", "maleable", "plástico" ] }, "1637": { "input": "boarding", "output": "embarque", "possible_translations": [ "embarque" ] }, "1638": { "input": "trilogy", "output": "trilogía", "possible_translations": [ "trilogía" ] }, "1639": { "input": "fault", "output": "culpa", "possible_translations": [ "culpa", "defecto", "falla", "falta" ] }, "1640": { "input": "unity", "output": "unidad", "possible_translations": [ "unidad" ] }, "1641": { "input": "immigration", "output": "inmigración", "possible_translations": [ "inmigración" ] }, "1642": { "input": "determination", "output": "ahínco", "possible_translations": [ "ahínco" ] }, "1643": { "input": "infant", "output": "nene", "possible_translations": [ "infante", "nene" ] }, "1644": { "input": "calm", "output": "sosiego", "possible_translations": [ "calmo", "sosiego", "calmado", "calma" ] }, "1645": { "input": "steering", "output": "dirección", "possible_translations": [ "dirección" ] }, "1646": { "input": "reward", "output": "recompensa", "possible_translations": [ "recompensa", "recompensar" ] }, "1647": { "input": "prominence", "output": "prominencia", "possible_translations": [ "prominencia", "protuberancia" ] }, "1648": { "input": "tier", "output": "capa", "possible_translations": [ "capa", "enlace" ] }, "1649": { "input": "inability", "output": "incapacidad", "possible_translations": [ "incapacidad" ] }, "1650": { "input": "lion", "output": "león", "possible_translations": [ "león" ] }, "1651": { "input": "thrust", "output": "empuje", "possible_translations": [ "propulsar", "forzar", "asestar", "estocada", "empuje", "envión", "impulso", "énfasis" ] }, "1652": { "input": "overtime", "output": "tiempo de más", "possible_translations": [ "overtime", "a destajo", "pago overtime", "tiempo de más" ] }, "1653": { "input": "fraud", "output": "fraude", "possible_translations": [ "fraude" ] }, "1654": { "input": "graduation", "output": "graduación", "possible_translations": [ "graduación" ] }, "1655": { "input": "transformation", "output": "transformación", "possible_translations": [ "transformación" ] }, "1656": { "input": "finger", "output": "dedo", "possible_translations": [ "señalar", "dedo", "apuntar" ] }, "1657": { "input": "filter", "output": "filtro", "possible_translations": [ "filtrar", "filtrarse", "filtro" ] }, "1658": { "input": "spectrum", "output": "espectro", "possible_translations": [ "espectro" ] }, "1659": { "input": "sovereignty", "output": "soberanía", "possible_translations": [ "soberanía" ] }, "1660": { "input": "accommodation", "output": "alojamiento", "possible_translations": [ "hospedaje", "alojamiento" ] }, "1661": { "input": "shortage", "output": "falta", "possible_translations": [ "escasez", "carestía", "falta" ] }, "1662": { "input": "galaxy", "output": "galaxia", "possible_translations": [ "galaxia" ] }, "1663": { "input": "quantity", "output": "cantidad", "possible_translations": [ "cantidad" ] }, "1664": { "input": "funk", "output": "funk", "possible_translations": [ "funk" ] }, "1665": { "input": "blame", "output": "culpa", "possible_translations": [ "reprochar", "echar la culpa", "culpa", "culpar" ] }, "1666": { "input": "enthusiasm", "output": "entusiasmo", "possible_translations": [ "entusiasmo" ] }, "1667": { "input": "sentiment", "output": "sentimiento", "possible_translations": [ "sentimiento" ] }, "1668": { "input": "boom", "output": "bum", "possible_translations": [ "bum", "boom", "pum", "retumbar" ] }, "1669": { "input": "compact", "output": "acuerdo", "possible_translations": [ "compactar", "acuerdo", "compacto" ] }, "1670": { "input": "relay", "output": "relevos", "possible_translations": [ "relevos", "relevar", "relé" ] }, "1671": { "input": "recommendation", "output": "recomendación", "possible_translations": [ "recomendación" ] }, "1672": { "input": "strain", "output": "trazas", "possible_translations": [ "colar", "elongar", "trazas", "cepa", "raza variedad", "tamizar" ] }, "1673": { "input": "clearing", "output": "desmonte", "possible_translations": [ "claro", "despeje", "desmonte" ] }, "1674": { "input": "array", "output": "vector", "possible_translations": [ "arreglar", "galas", "vector", "atavío", "gama", "arreglo" ] }, "1675": { "input": "flash", "output": "relámpago", "possible_translations": [ "pinchar", "relámpago" ] }, "1676": { "input": "propeller", "output": "propulsor", "possible_translations": [ "propulsor", "hélice" ] }, "1677": { "input": "narrator", "output": "narrador", "possible_translations": [ "narrador" ] }, "1678": { "input": "nucleus", "output": "núcleo", "possible_translations": [ "núcleo" ] }, "1679": { "input": "pollution", "output": "polución", "possible_translations": [ "contaminación", "polución" ] }, "1680": { "input": "heating", "output": "calefacción", "possible_translations": [ "calefacción", "calentamiento" ] }, "1681": { "input": "displacement", "output": "desplazamiento", "possible_translations": [ "desplazamiento" ] }, "1682": { "input": "dock", "output": "acoplamiento", "possible_translations": [ "descolar", "desrabotar", "acoplamiento", "desrabar" ] }, "1683": { "input": "superstructure", "output": "superestructura", "possible_translations": [ "superestructura" ] }, "1684": { "input": "pocket", "output": "bolsillo", "possible_translations": [ "bolsillo", "tronera", "embolsar", "bolsa" ] }, "1685": { "input": "spur", "output": "espuela", "possible_translations": [ "espuela", "conexión", "espolón", "motivar", "acicate ; incentivo", "incitar", "acicatear", "estimular", "espolear", "alcurnia", "espolonear", "incentivar", "poner espuelas", "extensión", "prolongación", "animar" ] }, "1686": { "input": "imagination", "output": "imaginación", "possible_translations": [ "imaginación" ] }, "1687": { "input": "anchor", "output": "ancla", "possible_translations": [ "ancla", "anclar" ] }, "1688": { "input": "captive", "output": "preso", "possible_translations": [ "prisionero", "cautivo", "preso" ] }, "1689": { "input": "preference", "output": "preferencia", "possible_translations": [ "preferencia" ] }, "1690": { "input": "trout", "output": "trucha", "possible_translations": [ "trucha" ] }, "1691": { "input": "silk", "output": "seda", "possible_translations": [ "seda" ] }, "1692": { "input": "steal", "output": "robo", "possible_translations": [ "robo", "hurtar", "robar" ] }, "1693": { "input": "weakness", "output": "punto débil", "possible_translations": [ "punto débil", "debilidad" ] }, "1694": { "input": "viewer", "output": "espectador", "possible_translations": [ "televidente", "telespectadora", "espectador", "espectadora", "telespectador" ] }, "1695": { "input": "disk", "output": "disco", "possible_translations": [ "disco", "disco duro" ] }, "1696": { "input": "breakdown", "output": "avería", "possible_translations": [ "desglose", "panne", "avería", "colapso nervioso", "ataque de nervios", "pana", "descompostura" ] }, "1697": { "input": "parade", "output": "serie", "possible_translations": [ "desfile", "parada", "serie" ] }, "1698": { "input": "platoon", "output": "peloton", "possible_translations": [ "peloton" ] }, "1699": { "input": "photographer", "output": "fotógrafo", "possible_translations": [ "fotógrafo" ] }, "1700": { "input": "dedication", "output": "dedicación", "possible_translations": [ "dedicación" ] }, "1701": { "input": "manufacturer", "output": "fabricante", "possible_translations": [ "fabricante" ] }, "1702": { "input": "calendar", "output": "calendario", "possible_translations": [ "agenda", "calendario" ] }, "1703": { "input": "implementation", "output": "puesta en práctica", "possible_translations": [ "puesta en práctica", "implementación" ] }, "1704": { "input": "admission", "output": "admisión", "possible_translations": [ "confesión", "admisión" ] }, "1705": { "input": "deer", "output": "ciervo", "possible_translations": [ "venado", "ciervo" ] }, "1706": { "input": "discrimination", "output": "discriminación", "possible_translations": [ "discriminación" ] }, "1707": { "input": "breast", "output": "pechuga", "possible_translations": [ "pecho", "pechuga", "seno", "corazón", "teta" ] }, "1708": { "input": "concentrate", "output": "concentrado", "possible_translations": [ "concentrar", "concentrarse", "concentrado" ] }, "1709": { "input": "emotion", "output": "afecto", "possible_translations": [ "emoción", "afecto" ] }, "1710": { "input": "grandmother", "output": "abuela", "possible_translations": [ "abuela" ] }, "1711": { "input": "marble", "output": "mármol", "possible_translations": [ "picha", "bola de cristal", "bolindre", "mebli", "bola de vidrio", "balita", "mármol", "metra", "maule", "bola", "bolita", "bolincha", "mable", "canica", "cachina", "boliche", "chibola" ] }, "1712": { "input": "civilization", "output": "civilización", "possible_translations": [ "civilización" ] }, "1713": { "input": "timing", "output": "cronometraje", "possible_translations": [ "cronometraje" ] }, "1714": { "input": "controller", "output": "controlador", "possible_translations": [ "controlador" ] }, "1715": { "input": "hometown", "output": "pueblo natal", "possible_translations": [ "ciudad de orígen", "pueblo natal" ] }, "1716": { "input": "slot", "output": "tragamonedas", "possible_translations": [ "tragamonedas", "ranura", "máquina tragamonedas" ] }, "1717": { "input": "mortality", "output": "mortalidad", "possible_translations": [ "mortalidad" ] }, "1718": { "input": "gospel", "output": "evangelio", "possible_translations": [ "evangelio" ] }, "1719": { "input": "coaster", "output": "deslizador", "possible_translations": [ "navegador", "deslizador", "holgazán", "posavasos", "costero" ] }, "1720": { "input": "capability", "output": "capacidad", "possible_translations": [ "capacidad" ] }, "1721": { "input": "accounting", "output": "contabilidad", "possible_translations": [ "contabilidad" ] }, "1722": { "input": "torture", "output": "tortura", "possible_translations": [ "tortura", "torturar" ] }, "1723": { "input": "copyright", "output": "derechos de autor", "possible_translations": [ "derechos de autor" ] }, "1724": { "input": "complexity", "output": "complejidad", "possible_translations": [ "complejidad" ] }, "1725": { "input": "recipient", "output": "receptor", "possible_translations": [ "receptor", "receptora" ] }, "1726": { "input": "nurse", "output": "enfermera", "possible_translations": [ "enfermera", "enfermero", "niñera" ] }, "1727": { "input": "interface", "output": "interfaz", "possible_translations": [ "interfaz" ] }, "1728": { "input": "qualification", "output": "calificación", "possible_translations": [ "calificación" ] }, "1729": { "input": "cancellation", "output": "cancelación", "possible_translations": [ "cancelación" ] }, "1730": { "input": "helium", "output": "helio", "possible_translations": [ "helio" ] }, "1731": { "input": "violation", "output": "violación", "possible_translations": [ "violación" ] }, "1732": { "input": "discharge", "output": "caudal", "possible_translations": [ "completar", "descargo", "despedir", "caudal", "dar de alta", "cumplir", "descargar", "disparar" ] }, "1733": { "input": "bedroom", "output": "alcoba", "possible_translations": [ "habitación", "dormitorio", "recámara", "cuarto", "pieza", "alcoba" ] }, "1734": { "input": "tackle", "output": "tacleada", "possible_translations": [ "emprender", "equipo", "abordar", "aparejo", "tacleada", "taclear", "afrontar" ] }, "1735": { "input": "ancestor", "output": "ancestro", "possible_translations": [ "ancestro", "antepasado" ] }, "1736": { "input": "premise", "output": "premisa", "possible_translations": [ "premisa" ] }, "1737": { "input": "trace", "output": "traza", "possible_translations": [ "trazar", "rastro", "huella", "traza", "calcar" ] }, "1738": { "input": "boost", "output": "impulso", "possible_translations": [ "impulso", "empujar", "empuje", "impulsar" ] }, "1739": { "input": "offspring", "output": "progenie", "possible_translations": [ "progenie" ] }, "1740": { "input": "perimeter", "output": "perímetro", "possible_translations": [ "perímetro" ] }, "1741": { "input": "oxide", "output": "óxido", "possible_translations": [ "óxido" ] }, "1742": { "input": "nitrogen", "output": "nitrógeno", "possible_translations": [ "nitrógeno" ] }, "1743": { "input": "dioxide", "output": "dióxido", "possible_translations": [ "dióxido" ] }, "1744": { "input": "auction", "output": "subasta", "possible_translations": [ "remate", "subastar", "subasta", "rematar" ] }, "1745": { "input": "yield", "output": "rendimiento", "possible_translations": [ "ceder", "ceder el paso", "rendimiento", "arrojar" ] }, "1746": { "input": "courage", "output": "valor", "possible_translations": [ "valentía", "coraje", "valor" ] }, "1747": { "input": "livestock", "output": "ganado", "possible_translations": [ "ganado" ] }, "1748": { "input": "starter", "output": "estárter", "possible_translations": [ "estárter", "cebador", "entrante", "entrada" ] }, "1749": { "input": "opener", "output": "abridor", "possible_translations": [ "primer acto", "abridor" ] }, "1750": { "input": "patent", "output": "patente", "possible_translations": [ "patente" ] }, "1751": { "input": "mortar", "output": "mortero", "possible_translations": [ "mortero" ] }, "1752": { "input": "plumage", "output": "plumaje", "possible_translations": [ "plumaje" ] }, "1753": { "input": "isolation", "output": "aislamiento", "possible_translations": [ "aislamiento" ] }, "1754": { "input": "particle", "output": "partícula", "possible_translations": [ "partícula" ] }, "1755": { "input": "patch", "output": "parche", "possible_translations": [ "parche" ] }, "1756": { "input": "feedback", "output": "retroacción", "possible_translations": [ "realimentación", "retroalimentación", "retroacción" ] }, "1757": { "input": "brass", "output": "latón", "possible_translations": [ "latón" ] }, "1758": { "input": "ballet", "output": "ballet", "possible_translations": [ "ballet", "baile" ] }, "1759": { "input": "hiatus", "output": "hiato", "possible_translations": [ "descanso", "pausa", "hiato", "vacaciones" ] }, "1760": { "input": "orientation", "output": "orientación", "possible_translations": [ "orientación" ] }, "1761": { "input": "stunt", "output": "proeza", "possible_translations": [ "proeza" ] }, "1762": { "input": "clause", "output": "cláusula", "possible_translations": [ "cláusula", "oración" ] }, "1763": { "input": "corporation", "output": "corporación", "possible_translations": [ "corporación" ] }, "1764": { "input": "breach", "output": "brecha", "possible_translations": [ "brecha", "quebrada", "boquete", "disolución", "violación", "batería" ] }, "1765": { "input": "slope", "output": "pendiente", "possible_translations": [ "chuequito", "inclinación", "desnivel", "cuesta", "ojo chueco", "pendiente" ] }, "1766": { "input": "instructor", "output": "instructor", "possible_translations": [ "instructor" ] }, "1767": { "input": "uncertainty", "output": "incertidumbre", "possible_translations": [ "incertidumbre" ] }, "1768": { "input": "wrestler", "output": "luchador", "possible_translations": [ "luchador" ] }, "1769": { "input": "wildlife", "output": "vida silvestre", "possible_translations": [ "vida silvestre" ] }, "1770": { "input": "alert", "output": "alerta", "possible_translations": [ "alertar", "alerto", "vigilante", "alarma", "alerta" ] }, "1771": { "input": "triumph", "output": "triunfo", "possible_translations": [ "triunfar", "triunfo" ] }, "1772": { "input": "makeup", "output": "maquillaje", "possible_translations": [ "maquillaje" ] }, "1773": { "input": "ramp", "output": "rampa", "possible_translations": [ "puerro salvaje", "rampa" ] }, "1774": { "input": "reflection", "output": "reflexión", "possible_translations": [ "reflejo", "reflexión" ] }, "1775": { "input": "kilometre", "output": "kilómetro", "possible_translations": [ "quilómetro", "kilómetro" ] }, "1776": { "input": "senator", "output": "senador", "possible_translations": [ "senador", "senadora" ] }, "1777": { "input": "nominee", "output": "nominado", "possible_translations": [ "nominado", "nominada" ] }, "1778": { "input": "antagonist", "output": "antagonista", "possible_translations": [ "antagonista" ] }, "1779": { "input": "triangle", "output": "triángulo", "possible_translations": [ "triángulo" ] }, "1780": { "input": "ghost", "output": "sombra", "possible_translations": [ "aparición", "aparecido", "espíritu", "espectro", "alma", "fantasma", "sombra" ] }, "1781": { "input": "shadow", "output": "sombra", "possible_translations": [ "sombra" ] }, "1782": { "input": "resemblance", "output": "semejanza", "possible_translations": [ "semejanza", "posibilidad", "parecido", "verosimilitud", "similitud", "similaridad" ] }, "1783": { "input": "servant", "output": "sirviente", "possible_translations": [ "empleado", "criada", "doméstico", "servidor", "criado", "mozo", "sirviente" ] }, "1784": { "input": "diesel", "output": "diésel", "possible_translations": [ "diésel" ] }, "1785": { "input": "comedian", "output": "humorista", "possible_translations": [ "humorista" ] }, "1786": { "input": "outfit", "output": "tenida", "possible_translations": [ "tenida" ] }, "1787": { "input": "canon", "output": "canónigo", "possible_translations": [ "canónigo" ] }, "1788": { "input": "caution", "output": "precaución", "possible_translations": [ "advertir", "cautela", "fianza", "advertencia", "precaución", "cuidado" ] }, "1789": { "input": "teenager", "output": "adolescente", "possible_translations": [ "adolescente" ] }, "1790": { "input": "similarity", "output": "semejanza", "possible_translations": [ "similitud", "semejanza", "similaridad" ] }, "1791": { "input": "poster", "output": "cartel", "possible_translations": [ "cartel" ] }, "1792": { "input": "log", "output": "leño", "possible_translations": [ "leño", "tronco", "registrar", "talar", "registro" ] }, "1793": { "input": "ancestry", "output": "linaje", "possible_translations": [ "ascendencia", "linaje" ] }, "1794": { "input": "realism", "output": "realismo", "possible_translations": [ "realismo" ] }, "1795": { "input": "dragon", "output": "dragón", "possible_translations": [ "dragón", "guiverno" ] }, "1796": { "input": "patronage", "output": "clientela", "possible_translations": [ "patrocinio", "clientela" ] }, "1797": { "input": "entity", "output": "entidad", "possible_translations": [ "entidad" ] }, "1798": { "input": "soccer", "output": "fútbol", "possible_translations": [ "fútbol", "futbol; balompié", "balón-pie ; pambol" ] }, "1799": { "input": "enzyme", "output": "enzima", "possible_translations": [ "enzima" ] }, "1800": { "input": "powder", "output": "polvo", "possible_translations": [ "pulverizarse", "hacerse polvo", "empolvarse", "reducir a polvo", "ponerse polvos", "pulverizar", "espolvorear", "polvo", "triturar" ] }, "1801": { "input": "drunk", "output": "ebriedad", "possible_translations": [ "borrachera", "borracho", "pedo", "ebriedad", "ebrio" ] }, "1802": { "input": "insect", "output": "insecto", "possible_translations": [ "insecto" ] }, "1803": { "input": "biology", "output": "biología", "possible_translations": [ "biología" ] }, "1804": { "input": "counterpart", "output": "homólogo", "possible_translations": [ "homóloga", "homólogo" ] }, "1805": { "input": "cloth", "output": "trapo", "possible_translations": [ "paño", "tela", "trapo" ] }, "1806": { "input": "climax", "output": "clímax", "possible_translations": [ "clímax" ] }, "1807": { "input": "abundance", "output": "abundancia", "possible_translations": [ "abundancia" ] }, "1808": { "input": "invention", "output": "invención", "possible_translations": [ "invención" ] }, "1809": { "input": "deity", "output": "dios", "possible_translations": [ "deidad", "divinidad", "diosa", "dios" ] }, "1810": { "input": "horn", "output": "cuerno", "possible_translations": [ "bocina", "cuerno", "viento", "cacho", "queratina" ] }, "1811": { "input": "spore", "output": "espora", "possible_translations": [ "espora" ] }, "1812": { "input": "complaint", "output": "problema", "possible_translations": [ "problema", "queja" ] }, "1813": { "input": "prose", "output": "prosa", "possible_translations": [ "prosa" ] }, "1814": { "input": "gasoline", "output": "gasolina", "possible_translations": [ "nafta", "gasolina", "bencina" ] }, "1815": { "input": "beta", "output": "beta", "possible_translations": [ "beta" ] }, "1816": { "input": "humour", "output": "humor", "possible_translations": [ "humor" ] }, "1817": { "input": "stake", "output": "participación", "possible_translations": [ "estacar", "poner en juego", "estaca", "participación" ] }, "1818": { "input": "deficit", "output": "déficit", "possible_translations": [ "déficit" ] }, "1819": { "input": "collector", "output": "coleccionista", "possible_translations": [ "coleccionista" ] }, "1820": { "input": "overlap", "output": "solapo", "possible_translations": [ "solapo", "traslapar", "traslapo", "solapar", "superposición" ] }, "1821": { "input": "integration", "output": "integración", "possible_translations": [ "integración" ] }, "1822": { "input": "pride", "output": "orgullo", "possible_translations": [ "soberbia", "ser orgulloso de", "manada", "orgullo", "enorgullecerse" ] }, "1823": { "input": "boxing", "output": "boxeo", "possible_translations": [ "boxeo" ] }, "1824": { "input": "coronation", "output": "coronación", "possible_translations": [ "coronación" ] }, "1825": { "input": "crossover", "output": "entrecruzamiento", "possible_translations": [ "entrecruzamiento" ] }, "1826": { "input": "mob", "output": "rebaño", "possible_translations": [ "rodear", "ganado", "amontonarse alrededor de", "turba", "rebaño" ] }, "1827": { "input": "registration", "output": "registro", "possible_translations": [ "inscripción", "recepción", "registración", "matriculación", "registro" ] }, "1828": { "input": "button", "output": "botón", "possible_translations": [ "capullo", "abotonar", "prendedor", "botón" ] }, "1829": { "input": "renovation", "output": "renovación", "possible_translations": [ "renovación" ] }, "1830": { "input": "warrant", "output": "cédula", "possible_translations": [ "garantía", "orden", "cédula", "garantizar" ] }, "1831": { "input": "terrorist", "output": "terrorista", "possible_translations": [ "terrorista" ] }, "1832": { "input": "reactor", "output": "reactor", "possible_translations": [ "reactor" ] }, "1833": { "input": "lecture", "output": "conferencia", "possible_translations": [ "charla", "clase", "conferencia" ] }, "1834": { "input": "calcium", "output": "calcio", "possible_translations": [ "calcio" ] }, "1835": { "input": "hub", "output": "concentrador", "possible_translations": [ "multiplexor", "buje", "concentrador", "maza" ] }, "1836": { "input": "tragedy", "output": "tragedia", "possible_translations": [ "tragedia" ] }, "1837": { "input": "recall", "output": "retirada", "possible_translations": [ "evocar", "retirada" ] }, "1838": { "input": "implement", "output": "implemento", "possible_translations": [ "instrumento", "herramienta", "implementar", "implemento" ] }, "1839": { "input": "striker", "output": "huelguista", "possible_translations": [ "huelguista" ] }, "1840": { "input": "embassy", "output": "embajada", "possible_translations": [ "embajada" ] }, "1841": { "input": "knife", "output": "cuchillo", "possible_translations": [ "puñal", "acuchillar", "cuchillo" ] }, "1842": { "input": "consultant", "output": "consultor", "possible_translations": [ "consultor" ] }, "1843": { "input": "pyramid", "output": "pirámide", "possible_translations": [ "pirámide" ] }, "1844": { "input": "continuation", "output": "continuación", "possible_translations": [ "continuación" ] }, "1845": { "input": "shed", "output": "carraca", "possible_translations": [ "carraca", "verter", "cobertizo", "separar", "galpón", "derramar" ] }, "1846": { "input": "corn", "output": "callo", "possible_translations": [ "callo" ] }, "1847": { "input": "thirteenth", "output": "treceavo", "possible_translations": [ "treceavo", "decimotercera", "decimotercero" ] }, "1848": { "input": "rope", "output": "cuerda", "possible_translations": [ "cuerda", "soga" ] }, "1849": { "input": "monsoon", "output": "monzón", "possible_translations": [ "monzón" ] }, "1850": { "input": "barrel", "output": "barril", "possible_translations": [ "caño", "tonel", "barril", "cañón" ] }, "1851": { "input": "gravel", "output": "grava", "possible_translations": [ "gravilla", "grava" ] }, "1852": { "input": "merchandise", "output": "mercancía", "possible_translations": [ "mercancía" ] }, "1853": { "input": "cure", "output": "cura", "possible_translations": [ "curar", "curación", "cura" ] }, "1854": { "input": "mentor", "output": "mentor", "possible_translations": [ "mentor" ] }, "1855": { "input": "dancer", "output": "bailarín", "possible_translations": [ "bailarina", "bailarín", "bailador" ] }, "1856": { "input": "detection", "output": "detección", "possible_translations": [ "detección" ] }, "1857": { "input": "spy", "output": "espía", "possible_translations": [ "chivato", "espiar", "espía" ] }, "1858": { "input": "abbey", "output": "abadía", "possible_translations": [ "abadía" ] }, "1859": { "input": "curriculum", "output": "currículo", "possible_translations": [ "currículo" ] }, "1860": { "input": "motif", "output": "motivo", "possible_translations": [ "motivo" ] }, "1861": { "input": "reservoir", "output": "embalse", "possible_translations": [ "embalse", "reserva", "alberca", "estanque", "depósito", "represa" ] }, "1862": { "input": "bankruptcy", "output": "bancarrota", "possible_translations": [ "bancarrota" ] }, "1863": { "input": "guilt", "output": "culpa", "possible_translations": [ "culpabilidad", "culpa" ] }, "1864": { "input": "tobacco", "output": "tabaco", "possible_translations": [ "tabaco" ] }, "1865": { "input": "punt", "output": "batea", "possible_translations": [ "especular", "batea" ] }, "1866": { "input": "fitness", "output": "capacidad", "possible_translations": [ "aptitud", "capacidad", "ámbito", "nivel físico" ] }, "1867": { "input": "decoration", "output": "decoración", "possible_translations": [ "decoración", "condecoración" ] }, "1868": { "input": "consumer", "output": "consumidor", "possible_translations": [ "consumidor" ] }, "1869": { "input": "ankle", "output": "tobillo", "possible_translations": [ "tobillo" ] }, "1870": { "input": "visibility", "output": "visibilidad", "possible_translations": [ "visibilidad" ] }, "1871": { "input": "mobility", "output": "movilidad", "possible_translations": [ "movilidad" ] }, "1872": { "input": "melting", "output": "derrito", "possible_translations": [ "derrito", "fundición" ] }, "1873": { "input": "inspection", "output": "inspección", "possible_translations": [ "inspección" ] }, "1874": { "input": "luxury", "output": "lujo", "possible_translations": [ "capricho", "extravagancia", "lujo" ] }, "1875": { "input": "predator", "output": "predador", "possible_translations": [ "predador" ] }, "1876": { "input": "fog", "output": "niebla", "possible_translations": [ "niebla" ] }, "1877": { "input": "superhero", "output": "superhéroe", "possible_translations": [ "superhéroe" ] }, "1878": { "input": "sink", "output": "lavamanos", "possible_translations": [ "sumergirse", "desagüe", "lavamanos", "enclochar", "hundir", "sumergir", "fregadero" ] }, "1879": { "input": "shrine", "output": "relicario", "possible_translations": [ "relicario" ] }, "1880": { "input": "ecology", "output": "ecología", "possible_translations": [ "ecología" ] }, "1881": { "input": "plug", "output": "tapón", "possible_translations": [ "tapón", "enchufe" ] }, "1882": { "input": "replica", "output": "réplica", "possible_translations": [ "réplica" ] }, "1883": { "input": "gale", "output": "ventolera", "possible_translations": [ "ventolera" ] }, "1884": { "input": "visitor", "output": "visita", "possible_translations": [ "visita" ] }, "1885": { "input": "ministry", "output": "ministerio", "possible_translations": [ "ministerio" ] }, "1886": { "input": "pipe", "output": "tubería", "possible_translations": [ "tubo de órgano", "coditos", "codos", "pito", "instrumento tradicional de soplo", "chiflo", "encaje", "flauta )", "gaita", "tubo", "banda ancha", "fierro", "orla", "tubería", "zampoña", "pleca", "tubería informática", "chimenea" ] }, "1887": { "input": "counsel", "output": "consejo", "possible_translations": [ "abogado", "consejo", "consulta" ] }, "1888": { "input": "latitude", "output": "latitud", "possible_translations": [ "holgura", "latitud" ] }, "1889": { "input": "reproduction", "output": "reproducción", "possible_translations": [ "reproducción" ] }, "1890": { "input": "unemployment", "output": "desempleo", "possible_translations": [ "desempleo", "paro" ] }, "1891": { "input": "duck", "output": "pato", "possible_translations": [ "eludir", "hundir", "evadir", "esquivar", "esconderse", "sumergirse", "agacharse", "pata", "pato", "sumergir", "cero" ] }, "1892": { "input": "farmer", "output": "granjero", "possible_translations": [ "granjera", "granjero" ] }, "1893": { "input": "recreation", "output": "recreación", "possible_translations": [ "recreación" ] }, "1894": { "input": "accent", "output": "acento", "possible_translations": [ "tilde", "acento", "acentuar" ] }, "1895": { "input": "cage", "output": "jaula", "possible_translations": [ "jaula" ] }, "1896": { "input": "maneuver", "output": "maniobra", "possible_translations": [ "maniobrar", "maniobra" ] }, "1897": { "input": "utility", "output": "proveedor de servicios", "possible_translations": [ "conveniencia", "proveedor de servicios", "utilidad" ] }, "1898": { "input": "moisture", "output": "humedad", "possible_translations": [ "humedad" ] }, "1899": { "input": "bread", "output": "pan", "possible_translations": [ "plata", "pan", "pasta", "empanizar", "empanar", "lana" ] }, "1900": { "input": "harmony", "output": "armonía", "possible_translations": [ "armonía" ] }, "1901": { "input": "carriage", "output": "coche", "possible_translations": [ "vagón", "coche", "carruaje" ] }, "1902": { "input": "academy", "output": "academia", "possible_translations": [ "academia", "cantera" ] }, "1903": { "input": "reunion", "output": "reunión", "possible_translations": [ "reunión" ] }, "1904": { "input": "appreciation", "output": "apreciación", "possible_translations": [ "apreciación" ] }, "1905": { "input": "ideology", "output": "ideología", "possible_translations": [ "ideología" ] }, "1906": { "input": "censorship", "output": "censura", "possible_translations": [ "censura" ] }, "1907": { "input": "isotope", "output": "isótopo", "possible_translations": [ "isótopo" ] }, "1908": { "input": "prosperity", "output": "prosperidad", "possible_translations": [ "prosperidad" ] }, "1909": { "input": "suspicion", "output": "sospecha", "possible_translations": [ "sospecha" ] }, "1910": { "input": "poison", "output": "veneno", "possible_translations": [ "envenenar", "veneno" ] }, "1911": { "input": "courtyard", "output": "patio", "possible_translations": [ "patio" ] }, "1912": { "input": "dinosaur", "output": "dinosaurio", "possible_translations": [ "dinosaurio" ] }, "1913": { "input": "resource", "output": "recurso", "possible_translations": [ "medio", "recurso" ] }, "1914": { "input": "choreography", "output": "coreografía", "possible_translations": [ "coreografía" ] }, "1915": { "input": "abortion", "output": "aborto", "possible_translations": [ "aborto", "aborto involuntario", "engendro", "aborto inducido" ] }, "1916": { "input": "rejection", "output": "rechazo", "possible_translations": [ "rechazo" ] }, "1917": { "input": "constellation", "output": "constelación", "possible_translations": [ "constelación" ] }, "1918": { "input": "snake", "output": "serpiente", "possible_translations": [ "sierpe", "víbora", "hacer culebra", "culebrear", "serpentear", "culebra", "serpiente" ] }, "1919": { "input": "supervisor", "output": "supervisor", "possible_translations": [ "supervisor", "director" ] }, "1920": { "input": "granite", "output": "granito", "possible_translations": [ "granito" ] }, "1921": { "input": "superiority", "output": "superioridad", "possible_translations": [ "superioridad" ] }, "1922": { "input": "icon", "output": "icono", "possible_translations": [ "ícono", "icono" ] }, "1923": { "input": "alpha", "output": "alfa", "possible_translations": [ "alfa" ] }, "1924": { "input": "persecution", "output": "persecución", "possible_translations": [ "persecución" ] }, "1925": { "input": "wolf", "output": "lobo", "possible_translations": [ "lobo", "devorar", "engullir" ] }, "1926": { "input": "occurrence", "output": "acontecimiento", "possible_translations": [ "acontecimiento" ] }, "1927": { "input": "slide", "output": "deslizamiento", "possible_translations": [ "portaobjeto", "tobogán", "diapositiva", "deslizar", "resbalar", "corrimiento", "deslizamiento", "slide", "corrimiento de tierra", "portaobjetos" ] }, "1928": { "input": "cockpit", "output": "reñidero", "possible_translations": [ "cabina", "reñidero" ] }, "1929": { "input": "elephant", "output": "elefante", "possible_translations": [ "elefante" ] }, "1930": { "input": "novelist", "output": "novelista", "possible_translations": [ "novelista" ] }, "1931": { "input": "accession", "output": "ascenso", "possible_translations": [ "ascenso" ] }, "1932": { "input": "verdict", "output": "veredicto", "possible_translations": [ "veredicto" ] }, "1933": { "input": "integrity", "output": "integridad", "possible_translations": [ "integridad" ] }, "1934": { "input": "wage", "output": "salario", "possible_translations": [ "sueldo", "salario" ] }, "1935": { "input": "bottle", "output": "botella", "possible_translations": [ "frasco", "botella", "embotellar" ] }, "1936": { "input": "backdrop", "output": "bambalina", "possible_translations": [ "bambalina" ] }, "1937": { "input": "jacket", "output": "chaqueta", "possible_translations": [ "chaqueta", "paltó", "cazadora", "americana", "campera", "chumpa", "jacket", "saco", "gabán", "casaca", "chamarra", "chompa" ] }, "1938": { "input": "pianist", "output": "pianista", "possible_translations": [ "pianista" ] }, "1939": { "input": "ambush", "output": "emboscada", "possible_translations": [ "emboscar", "emboscada" ] }, "1940": { "input": "blog", "output": "bitácora", "possible_translations": [ "ciberbitácora", "blog", "bloguear", "bitácora" ] }, "1941": { "input": "bag", "output": "bolsa", "possible_translations": [ "jaba", "talego", "saco", "funda", "bolsa", "cartucho" ] }, "1942": { "input": "puzzle", "output": "rompecabezas", "possible_translations": [ "puzle", "dejar perplejo", "enigma", "rompecabezas", "desconcertar", "intrigar" ] }, "1943": { "input": "emergence", "output": "surgimiento", "possible_translations": [ "surgimiento", "emergencia" ] }, "1944": { "input": "foul", "output": "falta", "possible_translations": [ "enredarse", "indecente", "repugnante", "taparse", "tapar", "perro", "obsceno", "obstruer", "falta", "cometer una falta", "ensuciar", "inmundo", "grosero", "enredar" ] }, "1945": { "input": "anthology", "output": "antología", "possible_translations": [ "antología" ] }, "1946": { "input": "update", "output": "actualización", "possible_translations": [ "actualización", "actualizar" ] }, "1947": { "input": "potassium", "output": "potasio", "possible_translations": [ "potasio" ] }, "1948": { "input": "innovation", "output": "innovación", "possible_translations": [ "innovación" ] }, "1949": { "input": "fairy", "output": "marica", "possible_translations": [ "marica", "hada" ] }, "1950": { "input": "nobody", "output": "don nadie", "possible_translations": [ "pelagatos", "don nadie" ] }, "1951": { "input": "plasma", "output": "plasma", "possible_translations": [ "plasma" ] }, "1952": { "input": "coral", "output": "coral", "possible_translations": [ "coral" ] }, "1953": { "input": "camouflage", "output": "camuflaje", "possible_translations": [ "camuflaje", "camuflar", "camuflajear" ] }, "1954": { "input": "affiliate", "output": "afiliado", "possible_translations": [ "afiliar", "asociar", "afiliado", "filial", "afiliada" ] }, "1955": { "input": "cooling", "output": "enfriamiento", "possible_translations": [ "refrigerante", "enfriamiento" ] }, "1956": { "input": "spokesman", "output": "portavoz", "possible_translations": [ "portavoz", "vocero" ] }, "1957": { "input": "treasure", "output": "tesoro", "possible_translations": [ "atesorar", "tesoro" ] }, "1958": { "input": "spider", "output": "araña", "possible_translations": [ "araña" ] }, "1959": { "input": "defendant", "output": "acusado", "possible_translations": [ "acusado" ] }, "1960": { "input": "spiral", "output": "hélice", "possible_translations": [ "espiral", "hélice" ] }, "1961": { "input": "funnel", "output": "embudo", "possible_translations": [ "embudo", "chimenea" ] }, "1962": { "input": "pose", "output": "pose", "possible_translations": [ "pose", "posar" ] }, "1963": { "input": "ditch", "output": "zanja", "possible_translations": [ "abandonar", "acequia", "zanja", "dejar", "trinchera", "cuneta" ] }, "1964": { "input": "texture", "output": "textura", "possible_translations": [ "textura" ] }, "1965": { "input": "virtue", "output": "virtud", "possible_translations": [ "virtud" ] }, "1966": { "input": "treason", "output": "traición", "possible_translations": [ "traición" ] }, "1967": { "input": "grace", "output": "gracia", "possible_translations": [ "gracia", "gracias", "merced" ] }, "1968": { "input": "inflation", "output": "inflación", "possible_translations": [ "inflación" ] }, "1969": { "input": "oxidation", "output": "oxidación", "possible_translations": [ "oxidación" ] }, "1970": { "input": "pet", "output": "mascota", "possible_translations": [ "acariciar", "mascota" ] }, "1971": { "input": "hunter", "output": "cazador", "possible_translations": [ "cazador" ] }, "1972": { "input": "drought", "output": "sequía", "possible_translations": [ "sequía", "seca" ] }, "1973": { "input": "midst", "output": "centro", "possible_translations": [ "centro" ] }, "1974": { "input": "conscience", "output": "conciencia", "possible_translations": [ "conciencia" ] }, "1975": { "input": "theology", "output": "teología", "possible_translations": [ "teología" ] }, "1976": { "input": "trunk", "output": "baúl", "possible_translations": [ "trompa", "joroba", "maletera", "tronco", "cajuela", "baúl", "maleta", "maletero", "valija", "valijera" ] }, "1977": { "input": "anticipation", "output": "previsión", "possible_translations": [ "previsión", "anticipación" ] }, "1978": { "input": "sodium", "output": "sodio", "possible_translations": [ "sodio" ] }, "1979": { "input": "correspondent", "output": "corresponsal", "possible_translations": [ "corresponsal" ] }, "1980": { "input": "customer", "output": "cliente", "possible_translations": [ "cliente" ] }, "1981": { "input": "mercury", "output": "mercurio", "possible_translations": [ "mercurio" ] }, "1982": { "input": "aggression", "output": "agresión", "possible_translations": [ "agresión" ] }, "1983": { "input": "vector", "output": "vector", "possible_translations": [ "vector" ] }, "1984": { "input": "columnist", "output": "columnista", "possible_translations": [ "columnista" ] }, "1985": { "input": "advisor", "output": "consejero", "possible_translations": [ "consejero", "asesor" ] }, "1986": { "input": "sponsor", "output": "patrocinador", "possible_translations": [ "patrocinar", "patrocinadora", "patrocinador" ] }, "1987": { "input": "continuity", "output": "continuidad", "possible_translations": [ "continuidad" ] }, "1988": { "input": "plantation", "output": "plantación", "possible_translations": [ "plantación" ] }, "1989": { "input": "habit", "output": "hábito", "possible_translations": [ "uniforme", "costumbre", "hábito" ] }, "1990": { "input": "tributary", "output": "tributario", "possible_translations": [ "tributario" ] }, "1991": { "input": "outline", "output": "contorno", "possible_translations": [ "delinear", "resumir", "contorno", "esbozo" ] }, "1992": { "input": "surgeon", "output": "cirujano", "possible_translations": [ "cirujana", "cirujano" ] }, "1993": { "input": "bite", "output": "mordedura", "possible_translations": [ "picadura", "picar", "mordedura", "morder", "mordisco" ] }, "1994": { "input": "keeper", "output": "guardián", "possible_translations": [ "custodio", "guardián" ] }, "1995": { "input": "agenda", "output": "agenda", "possible_translations": [ "orden del dia", "programa", "agenda" ] }, "1996": { "input": "devotion", "output": "devoción", "possible_translations": [ "devoción", "veneración", "dedicación", "fervor" ] }, "1997": { "input": "pin", "output": "clavado", "possible_translations": [ "alfiler", "pin", "aguja", "clavar", "clavado", "clavada" ] }, "1998": { "input": "ladder", "output": "escalera", "possible_translations": [ "escalera", "carrera" ] }, "1999": { "input": "comfort", "output": "comodidad", "possible_translations": [ "comodidad", "confortar", "consuelo" ] }, "2000": { "input": "modification", "output": "modificación", "possible_translations": [ "modificación" ] }, "2001": { "input": "rehearsal", "output": "ensayo", "possible_translations": [ "ensayo" ] }, "2002": { "input": "archipelago", "output": "archipiélago", "possible_translations": [ "archipiélago" ] }, "2003": { "input": "psychology", "output": "psicología", "possible_translations": [ "psicología" ] }, "2004": { "input": "supplement", "output": "suplemento", "possible_translations": [ "complementar", "suplementario", "suplemento" ] }, "2005": { "input": "bicycle", "output": "bicicleta", "possible_translations": [ "bici", "bicicleta" ] }, "2006": { "input": "homosexuality", "output": "homosexualidad", "possible_translations": [ "homosexualidad" ] }, "2007": { "input": "corpse", "output": "cadáver", "possible_translations": [ "cadáver" ] }, "2008": { "input": "fare", "output": "tarifa", "possible_translations": [ "tarifa", "viajar", "precio", "pasajero" ] }, "2009": { "input": "bullet", "output": "bala", "possible_translations": [ "bala", "proyectil" ] }, "2010": { "input": "lighthouse", "output": "faro", "possible_translations": [ "faro" ] }, "2011": { "input": "joy", "output": "alegría", "possible_translations": [ "júbilo", "felicidad", "alegría", "gozo", "regocijo" ] }, "2012": { "input": "allegiance", "output": "fidelidad", "possible_translations": [ "fidelidad", "lealtad" ] }, "2013": { "input": "wheat", "output": "trigo", "possible_translations": [ "trigo" ] }, "2014": { "input": "rehabilitation", "output": "rehabilitación", "possible_translations": [ "rehabilitación" ] }, "2015": { "input": "slip", "output": "resbalón", "possible_translations": [ "", "tropezar", "deslizar", "resbalar", "combinación", "desliz", "falta", "resbalón", "equivocación", "error", "descuido" ] }, "2016": { "input": "decree", "output": "decreto", "possible_translations": [ "decretar", "decreto", "ordenanza" ] }, "2017": { "input": "employer", "output": "empleador", "possible_translations": [ "empleador" ] }, "2018": { "input": "surveillance", "output": "vigilancia", "possible_translations": [ "vigilancia" ] }, "2019": { "input": "folklore", "output": "folclore", "possible_translations": [ "demosofía", "folclore", "folclor" ] }, "2020": { "input": "athletics", "output": "atletismo", "possible_translations": [ "atletismo" ] }, "2021": { "input": "equation", "output": "ecuación", "possible_translations": [ "ecuación" ] }, "2022": { "input": "pen", "output": "corral", "possible_translations": [ "pluma", "corral", "escribir", "bolígrafo", "lapicera", "celda" ] }, "2023": { "input": "thesis", "output": "tesis doctoral", "possible_translations": [ "tesis doctoral", "tesis" ] }, "2024": { "input": "welding", "output": "soldadura", "possible_translations": [ "soldadura" ] }, "2025": { "input": "distress", "output": "ansiedad", "possible_translations": [ "inconforme", "peligro", "ansiedad", "en serio peligro", "apuro" ] }, "2026": { "input": "exploit", "output": "exploit", "possible_translations": [ "hazaña", "proeza", "exploit", "aprovechar", "explotar" ] }, "2027": { "input": "racism", "output": "racismo", "possible_translations": [ "racismo" ] }, "2028": { "input": "dialect", "output": "dialecto", "possible_translations": [ "dialecto" ] }, "2029": { "input": "anxiety", "output": "zozobra", "possible_translations": [ "zozobra", "ansiedad", "inquietud" ] }, "2030": { "input": "sculptor", "output": "escultor", "possible_translations": [ "escultora", "escultor" ] }, "2031": { "input": "confirmation", "output": "confirmación", "possible_translations": [ "confirmación" ] }, "2032": { "input": "masterpiece", "output": "obra maestra", "possible_translations": [ "obra maestra" ] }, "2033": { "input": "congestion", "output": "congestión", "possible_translations": [ "atasco", "congestión" ] }, "2034": { "input": "evaluation", "output": "evaluación", "possible_translations": [ "evaluación" ] }, "2035": { "input": "disappearance", "output": "desaparición", "possible_translations": [ "desaparición" ] }, "2036": { "input": "viewership", "output": "audiencia", "possible_translations": [ "audiencia" ] }, "2037": { "input": "stole", "output": "estola", "possible_translations": [ "estola" ] }, "2038": { "input": "breakaway", "output": "escapado", "possible_translations": [ "separado", "escapado", "separatista" ] }, "2039": { "input": "contender", "output": "contendiente", "possible_translations": [ "contendedor", "contendiente", "rival" ] }, "2040": { "input": "toss", "output": "tiro", "possible_translations": [ "tiro", "tirar", "lanzamiento", "desechar" ] }, "2041": { "input": "warship", "output": "buque de guerra", "possible_translations": [ "buque de guerra" ] }, "2042": { "input": "zoo", "output": "zoo", "possible_translations": [ "jardín zoo", "zoo", "zoológico" ] }, "2043": { "input": "laugh", "output": "risa", "possible_translations": [ "reír", "reírse de", "risa" ] }, "2044": { "input": "fix", "output": "aprieto", "possible_translations": [ "arreglar", "capar", "aprieto", "localización", "preparar", "amañar", "fijar", "componer", "reparar", "dosis" ] }, "2045": { "input": "groove", "output": "rutina", "possible_translations": [ "hendidura", "ranura", "estría", "rutina", "tonadilla", "acanaladura", "canal", "surco", "hábito" ] }, "2046": { "input": "warehouse", "output": "almacén", "possible_translations": [ "depósito", "almacenar", "almacén" ] }, "2047": { "input": "pope", "output": "Papa", "possible_translations": [ "Papa" ] }, "2048": { "input": "plenty", "output": "abundancia", "possible_translations": [ "abundancia" ] }, "2049": { "input": "pipeline", "output": "oleoducto", "possible_translations": [ "oleoducto", "tubería" ] }, "2050": { "input": "butterfly", "output": "mariposa", "possible_translations": [ "mariposa" ] }, "2051": { "input": "meal", "output": "harina", "possible_translations": [ "harina", "comida" ] }, "2052": { "input": "globe", "output": "globo", "possible_translations": [ "globo" ] }, "2053": { "input": "ethanol", "output": "etanol", "possible_translations": [ "etanol" ] }, "2054": { "input": "cultivation", "output": "cultura", "possible_translations": [ "cultura", "cultivación", "cultivo" ] }, "2055": { "input": "balloon", "output": "globo", "possible_translations": [ "bomba", "chimbomba", "globo" ] }, "2056": { "input": "dish", "output": "plato", "possible_translations": [ "platillo", "vajilla", "plato", "loza" ] }, "2057": { "input": "turbine", "output": "turbina", "possible_translations": [ "turbina" ] }, "2058": { "input": "chloride", "output": "cloruro", "possible_translations": [ "cloruro" ] }, "2059": { "input": "competitor", "output": "competidor", "possible_translations": [ "contrincante", "competidor" ] }, "2060": { "input": "cuisine", "output": "cocina", "possible_translations": [ "cocina" ] }, "2061": { "input": "overthrow", "output": "derrocamiento", "possible_translations": [ "derrocar", "deposición", "derrocamiento", "derribar" ] }, "2062": { "input": "malaria", "output": "paludismo", "possible_translations": [ "paludismo", "malaria" ] }, "2063": { "input": "excitement", "output": "entusiasmo", "possible_translations": [ "entusiasmo" ] }, "2064": { "input": "reasoning", "output": "razonamiento", "possible_translations": [ "razonamiento" ] }, "2065": { "input": "grammar", "output": "gramática", "possible_translations": [ "gramática" ] }, "2066": { "input": "kid", "output": "niño", "possible_translations": [ "huerco", "crío", "chico", "tomar el pelo", "chaval", "cabro", "pibe", "buqui", "güila", "chango", "pelado", "chivo", "nene", "niño", "patojo", "chavalo", "chavo", "lolo", "chamaco", "chamo", "muchacho", "chiquillo", "chibolo", "cabrito", "chino", "cipote" ] }, "2067": { "input": "pub", "output": "pub", "possible_translations": [ "bar", "taberna", "pub" ] }, "2068": { "input": "revelation", "output": "revelación", "possible_translations": [ "revelación" ] }, "2069": { "input": "fence", "output": "cerca", "possible_translations": [ "cercar", "reducidor", "barda", "valla", "perista", "cerca", "seto", "cerramiento" ] }, "2070": { "input": "asylum", "output": "asilo", "possible_translations": [ "asilo", "manicomio", "santuario" ] }, "2071": { "input": "morphology", "output": "morfología", "possible_translations": [ "morfología" ] }, "2072": { "input": "logic", "output": "lógica", "possible_translations": [ "lógica" ] }, "2073": { "input": "precedent", "output": "precedente", "possible_translations": [ "precedente" ] }, "2074": { "input": "sulfur", "output": "azufre", "possible_translations": [ "azufre", "azufrar" ] }, "2075": { "input": "showcase", "output": "escaparate", "possible_translations": [ "vitrina", "escaparate" ] }, "2076": { "input": "pronunciation", "output": "pronunciación", "possible_translations": [ "pronunciación" ] }, "2077": { "input": "mantle", "output": "manto", "possible_translations": [ "manto" ] }, "2078": { "input": "cricketer", "output": "criquetista", "possible_translations": [ "criquetista" ] }, "2079": { "input": "database", "output": "base de datos", "possible_translations": [ "banco de datos", "base de datos" ] }, "2080": { "input": "mock", "output": "imitación", "possible_translations": [ "burlar", "imitar", "burla", "imitación", "remedar" ] }, "2081": { "input": "illustration", "output": "ilustración", "possible_translations": [ "ilustración", "ejemplo", "instrucción" ] }, "2082": { "input": "administrator", "output": "administrador", "possible_translations": [ "albacea", "administrador" ] }, "2083": { "input": "ion", "output": "ion", "possible_translations": [ "ion", "ión" ] }, "2084": { "input": "catalogue", "output": "catálogo", "possible_translations": [ "catálogo", "catalogar" ] }, "2085": { "input": "laser", "output": "láser", "possible_translations": [ "láser" ] }, "2086": { "input": "surname", "output": "apellido", "possible_translations": [ "apellido" ] }, "2087": { "input": "assumption", "output": "asunción", "possible_translations": [ "suposición", "asunción" ] }, "2088": { "input": "essence", "output": "esencia", "possible_translations": [ "esencia", "extracto" ] }, "2089": { "input": "hostage", "output": "rehén", "possible_translations": [ "rehén" ] }, "2090": { "input": "curtain", "output": "cortina", "possible_translations": [ "telón", "cortina" ] }, "2091": { "input": "plateau", "output": "meseta", "possible_translations": [ "meseta" ] }, "2092": { "input": "theft", "output": "robo", "possible_translations": [ "robo", "hurto" ] }, "2093": { "input": "kilogram", "output": "kilogramo", "possible_translations": [ "quilogramo", "kilogramo" ] }, "2094": { "input": "robot", "output": "robot", "possible_translations": [ "robot" ] }, "2095": { "input": "hymn", "output": "himno", "possible_translations": [ "himno" ] }, "2096": { "input": "cheese", "output": "queso", "possible_translations": [ "queso" ] }, "2097": { "input": "atom", "output": "átomo", "possible_translations": [ "átomo" ] }, "2098": { "input": "bike", "output": "bici", "possible_translations": [ "moto", "bici" ] }, "2099": { "input": "diocese", "output": "diócesis", "possible_translations": [ "diócesis" ] }, "2100": { "input": "measurement", "output": "medida", "possible_translations": [ "medidas", "mediciones", "medición", "medida" ] }, "2101": { "input": "sperm", "output": "esperma", "possible_translations": [ "esperma" ] }, "2102": { "input": "seizure", "output": "apropiación", "possible_translations": [ "convulsión", "apropiación" ] }, "2103": { "input": "tolerance", "output": "tolerancia", "possible_translations": [ "tolerancia" ] }, "2104": { "input": "replay", "output": "repetir", "possible_translations": [ "repetir" ] }, "2105": { "input": "excavation", "output": "excavación", "possible_translations": [ "excavación" ] }, "2106": { "input": "liberation", "output": "liberación", "possible_translations": [ "liberación" ] }, "2107": { "input": "inception", "output": "comienzo", "possible_translations": [ "comienzo" ] }, "2108": { "input": "frog", "output": "rana", "possible_translations": [ "rana" ] }, "2109": { "input": "metaphor", "output": "metáforo", "possible_translations": [ "metáforo" ] }, "2110": { "input": "candidacy", "output": "candidatura", "possible_translations": [ "candidatura" ] }, "2111": { "input": "gunpowder", "output": "pólvora", "possible_translations": [ "pólvora" ] }, "2112": { "input": "equity", "output": "patrimonio neto", "possible_translations": [ "equidad", "patrimonio neto" ] }, "2113": { "input": "index", "output": "índice", "possible_translations": [ "indexar", "índice" ] }, "2114": { "input": "drift", "output": "ir a la deriva", "possible_translations": [ "errar", "ir a la deriva", "derrape", "vagar", "derivar" ] }, "2115": { "input": "precision", "output": "precisión", "possible_translations": [ "precisión" ] }, "2116": { "input": "epithet", "output": "epíteto", "possible_translations": [ "epíteto" ] }, "2117": { "input": "dirt", "output": "tierra", "possible_translations": [ "suciedad", "tierra", "mugre" ] }, "2118": { "input": "vacuum", "output": "vacío", "possible_translations": [ "aspirar", "vacío" ] }, "2119": { "input": "affection", "output": "cariño", "possible_translations": [ "cariño" ] }, "2120": { "input": "suffrage", "output": "sufragio", "possible_translations": [ "sufragio" ] }, "2121": { "input": "lineage", "output": "linaje", "possible_translations": [ "linaje", "estirpe" ] }, "2122": { "input": "probability", "output": "probabilidad", "possible_translations": [ "probabilidad" ] }, "2123": { "input": "fauna", "output": "fauna", "possible_translations": [ "fauna" ] }, "2124": { "input": "piercing", "output": "pirsin", "possible_translations": [ "pirsin" ] }, "2125": { "input": "smell", "output": "olfato", "possible_translations": [ "oler", "olor", "oler a", "olfato", "husmear" ] }, "2126": { "input": "pig", "output": "milico", "possible_translations": [ "chancho", "cochi", "coche", "gorrino", "guarro", "puerco", "cochino", "gocho", "tocino", "chon", "cochín", "marrano", "cocho", "cuto", "milico", "cerdo", "tunco", "cuchi" ] }, "2127": { "input": "instability", "output": "inestabilidad", "possible_translations": [ "inestabilidad" ] }, "2128": { "input": "trauma", "output": "trauma", "possible_translations": [ "trauma" ] }, "2129": { "input": "trainer", "output": "tenis", "possible_translations": [ "entrenador", "tenis", "amaestrador" ] }, "2130": { "input": "flashback", "output": "analepsis", "possible_translations": [ "analepsis" ] }, "2131": { "input": "luck", "output": "suerte", "possible_translations": [ "suerte" ] }, "2132": { "input": "gesture", "output": "gesto", "possible_translations": [ "gesto", "ademán" ] }, "2133": { "input": "duel", "output": "duelo", "possible_translations": [ "duelar", "duelo" ] }, "2134": { "input": "clash", "output": "colision", "possible_translations": [ "colision" ] }, "2135": { "input": "necessity", "output": "necesidad", "possible_translations": [ "necesidad" ] }, "2136": { "input": "quote", "output": "cita", "possible_translations": [ "cita", "citar", "cotizar", "cotización" ] }, "2137": { "input": "delegate", "output": "delegado", "possible_translations": [ "delegado", "delegada", "diputar" ] }, "2138": { "input": "certificate", "output": "certificado", "possible_translations": [ "certificado" ] }, "2139": { "input": "mascot", "output": "mascota", "possible_translations": [ "mascota" ] }, "2140": { "input": "motivation", "output": "motivación", "possible_translations": [ "motivación" ] }, "2141": { "input": "slate", "output": "pizarra", "possible_translations": [ "destinar", "pizarra" ] }, "2142": { "input": "thunderstorm", "output": "tormenta", "possible_translations": [ "tronada", "tormenta electrica", "tormenta" ] }, "2143": { "input": "exploitation", "output": "explotación", "possible_translations": [ "explotación" ] }, "2144": { "input": "crust", "output": "costra", "possible_translations": [ "costra", "corteza" ] }, "2145": { "input": "dimension", "output": "dimensión", "possible_translations": [ "dimensión" ] }, "2146": { "input": "severity", "output": "seriedad", "possible_translations": [ "seriedad", "severidad" ] }, "2147": { "input": "apology", "output": "disculpa", "possible_translations": [ "excusa", "disculpa" ] }, "2148": { "input": "footballer", "output": "futbolista", "possible_translations": [ "futbolista" ] }, "2149": { "input": "parachute", "output": "paracaídas", "possible_translations": [ "lanzarse en paracaídas", "paracaídas" ] }, "2150": { "input": "absorption", "output": "absorción", "possible_translations": [ "absorción", "concentración" ] }, "2151": { "input": "motto", "output": "mote", "possible_translations": [ "divisa", "lema", "mote" ] }, "2152": { "input": "mutiny", "output": "motín", "possible_translations": [ "motín", "sedición", "amotinarse" ] }, "2153": { "input": "trigger", "output": "gatillo", "possible_translations": [ "gatillo", "apretar el gatillo", "disparador", "desencadenar", "detonar" ] }, "2154": { "input": "vacation", "output": "vacaciones", "possible_translations": [ "vacacionar", "vacaciones" ] }, "2155": { "input": "contention", "output": "contienda", "possible_translations": [ "contienda" ] }, "2156": { "input": "spelling", "output": "ortografía", "possible_translations": [ "ortografía", "deletreando", "grafía" ] }, "2157": { "input": "skating", "output": "patinaje", "possible_translations": [ "patinaje" ] }, "2158": { "input": "tract", "output": "tratado", "possible_translations": [ "", "folleto", "extensión", "tracto", "tratado" ] }, "2159": { "input": "organism", "output": "organismo", "possible_translations": [ "organismo" ] }, "2160": { "input": "astronomy", "output": "astronomía", "possible_translations": [ "astronomía" ] }, "2161": { "input": "riff", "output": "riff", "possible_translations": [ "riff" ] }, "2162": { "input": "soprano", "output": "soprano", "possible_translations": [ "soprano" ] }, "2163": { "input": "geometry", "output": "geometría", "possible_translations": [ "geometría" ] }, "2164": { "input": "glee", "output": "alegría", "possible_translations": [ "alegría" ] }, "2165": { "input": "insistence", "output": "insistencia", "possible_translations": [ "insistencia" ] }, "2166": { "input": "coordination", "output": "coordinación", "possible_translations": [ "coordinación" ] }, "2167": { "input": "collaborator", "output": "colaborador", "possible_translations": [ "colaborador" ] }, "2168": { "input": "procession", "output": "procesión", "possible_translations": [ "procesión" ] }, "2169": { "input": "spokesperson", "output": "portavoz", "possible_translations": [ "portavoz" ] }, "2170": { "input": "motorcycle", "output": "motocicleta", "possible_translations": [ "moto", "motor", "motora", "motocicleta" ] }, "2171": { "input": "astronomer", "output": "astrónomo", "possible_translations": [ "astrónomo" ] }, "2172": { "input": "noon", "output": "mediodía", "possible_translations": [ "mediodía" ] }, "2173": { "input": "draught", "output": "corriente", "possible_translations": [ "trago", "tiro", "corriente", "corriente de aire", "dama", "calado" ] }, "2174": { "input": "physicist", "output": "físico", "possible_translations": [ "físico" ] }, "2175": { "input": "baptism", "output": "bautismo", "possible_translations": [ "bautizo", "bautismo" ] }, "2176": { "input": "crater", "output": "cráter", "possible_translations": [ "cráter" ] }, "2177": { "input": "grief", "output": "pesar", "possible_translations": [ "sufrimiento", "dolor", "calamidad", "pesar", "pena" ] }, "2178": { "input": "admiration", "output": "admiración", "possible_translations": [ "admiración" ] }, "2179": { "input": "simplicity", "output": "sencillez", "possible_translations": [ "simplicidad", "sencillez" ] }, "2180": { "input": "retaliation", "output": "represalia", "possible_translations": [ "represalia" ] }, "2181": { "input": "symphony", "output": "sinfonía", "possible_translations": [ "sinfonía" ] }, "2182": { "input": "hierarchy", "output": "jerarquía", "possible_translations": [ "jerarquía" ] }, "2183": { "input": "screenwriter", "output": "guionista", "possible_translations": [ "guionista" ] }, "2184": { "input": "flame", "output": "flama", "possible_translations": [ "llama", "flama" ] }, "2185": { "input": "monkey", "output": "mono", "possible_translations": [ "mono", "mico", "simio", "chango" ] }, "2186": { "input": "dose", "output": "dosis", "possible_translations": [ "dosis" ] }, "2187": { "input": "contestant", "output": "concursante", "possible_translations": [ "concursante" ] }, "2188": { "input": "voltage", "output": "voltaje", "possible_translations": [ "voltaje" ] }, "2189": { "input": "cry", "output": "grito", "possible_translations": [ "llorar", "llanto", "gritar", "grito" ] }, "2190": { "input": "terror", "output": "terror", "possible_translations": [ "terror" ] }, "2191": { "input": "institute", "output": "instituto", "possible_translations": [ "instituto" ] }, "2192": { "input": "cottage", "output": "chalet", "possible_translations": [ "chalet" ] }, "2193": { "input": "equilibrium", "output": "equilibrio", "possible_translations": [ "equilibrio" ] }, "2194": { "input": "theorem", "output": "teoría", "possible_translations": [ "", "teorema", "teoría", "suposición", "conjetura", "especulación" ] }, "2195": { "input": "flotilla", "output": "flotilla", "possible_translations": [ "flotilla" ] }, "2196": { "input": "sin", "output": "pecado", "possible_translations": [ "pecado", "pecar" ] }, "2197": { "input": "airplane", "output": "avión", "possible_translations": [ "avión", "aeroplano" ] }, "2198": { "input": "sparrow", "output": "pasérido", "possible_translations": [ "gorrión", "pájaro", "gorrión común", "pasérido" ] }, "2199": { "input": "coordinator", "output": "conjunción coordinante", "possible_translations": [ "nexo coordinante", "conjunción coordinante", "coordinadora", "coordinador" ] }, "2200": { "input": "pupil", "output": "alumno", "possible_translations": [ "pupilo", "pupila", "alumno", "alumna" ] }, "2201": { "input": "wheelchair", "output": "silla de ruedas", "possible_translations": [ "silla de ruedas" ] }, "2202": { "input": "memoir", "output": "memoria", "possible_translations": [ "memoria" ] }, "2203": { "input": "projection", "output": "proyección", "possible_translations": [ "proyección", "protuberancia" ] }, "2204": { "input": "blade", "output": "pala aspa", "possible_translations": [ "limbo", "lámina", "hoja", "espada", "pala", "pala aspa", "aleta", "cuchilla", "cuchillo" ] }, "2205": { "input": "microphone", "output": "micrófono", "possible_translations": [ "micrófono" ] }, "2206": { "input": "recruitment", "output": "reclutamiento", "possible_translations": [ "reclutamiento" ] }, "2207": { "input": "synthesizer", "output": "sintetizador", "possible_translations": [ "sintetizador" ] }, "2208": { "input": "stamp", "output": "sello", "possible_translations": [ "estampado", "franquear", "timbrar", "sello" ] }, "2209": { "input": "pseudonym", "output": "seudónimo", "possible_translations": [ "seudónimo" ] }, "2210": { "input": "cycling", "output": "ciclismo", "possible_translations": [ "ciclismo" ] }, "2211": { "input": "probe", "output": "sondeo", "possible_translations": [ "sondear", "sondeo", "sondar", "sonda", "tienta" ] }, "2212": { "input": "glory", "output": "gloria", "possible_translations": [ "gloria" ] }, "2213": { "input": "fission", "output": "fisión", "possible_translations": [ "fisionar", "fisión" ] }, "2214": { "input": "descendant", "output": "descendiente", "possible_translations": [ "descendiente" ] }, "2215": { "input": "leak", "output": "filtración", "possible_translations": [ "gotera", "vía", "filtración", "pérdida", "filtrar", "agujero", "rotura" ] }, "2216": { "input": "cavity", "output": "cavidad", "possible_translations": [ "caries", "cavidad" ] }, "2217": { "input": "catcher", "output": "receptor", "possible_translations": [ "receptor", "colector" ] }, "2218": { "input": "explorer", "output": "explorador", "possible_translations": [ "explorador" ] }, "2219": { "input": "leisure", "output": "ocio", "possible_translations": [ "tiempo libre", "ocio" ] }, "2220": { "input": "happiness", "output": "felicidad", "possible_translations": [ "felicidad" ] }, "2221": { "input": "deposit", "output": "depósito", "possible_translations": [ "depósito", "depositar", "empeño" ] }, "2222": { "input": "salmon", "output": "salmón", "possible_translations": [ "salmón", "asalmonado" ] }, "2223": { "input": "marijuana", "output": "marihuana", "possible_translations": [ "cáñamo", "marihuana", "mariguana" ] }, "2224": { "input": "deception", "output": "engaño", "possible_translations": [ "engaño" ] }, "2225": { "input": "mourning", "output": "duelo", "possible_translations": [ "duelo", "luto" ] }, "2226": { "input": "collar", "output": "collar", "possible_translations": [ "yugo", "cuello", "collar" ] }, "2227": { "input": "canopy", "output": "copa", "possible_translations": [ "toldo", "alero", "palio", "parabrisas", "copa", "campana", "dosel" ] }, "2228": { "input": "sleeve", "output": "funda", "possible_translations": [ "enfundar", "manga", "funda" ] }, "2229": { "input": "dealer", "output": "concesionario", "possible_translations": [ "crupier", "concesionario" ] }, "2230": { "input": "geology", "output": "geología", "possible_translations": [ "geología" ] }, "2231": { "input": "anatomy", "output": "anatomía", "possible_translations": [ "anatomía" ] }, "2232": { "input": "lip", "output": "labio", "possible_translations": [ "labio" ] }, "2233": { "input": "emblem", "output": "emblema", "possible_translations": [ "emblema" ] }, "2234": { "input": "pneumonia", "output": "pulmonía", "possible_translations": [ "pulmonía", "neumonía" ] }, "2235": { "input": "portal", "output": "portada", "possible_translations": [ "portal", "portada" ] }, "2236": { "input": "fraternity", "output": "fraternidad", "possible_translations": [ "fraternidad", "confraternidad", "hermandad" ] }, "2237": { "input": "immunity", "output": "inmunidad", "possible_translations": [ "inmunidad" ] }, "2238": { "input": "glider", "output": "planeador", "possible_translations": [ "velero", "planeador" ] }, "2239": { "input": "fortification", "output": "fortificación", "possible_translations": [ "fortificación" ] }, "2240": { "input": "tactic", "output": "táctica", "possible_translations": [ "táctica" ] }, "2241": { "input": "impedance", "output": "impedancia", "possible_translations": [ "impedancia" ] }, "2242": { "input": "prequel", "output": "precuela", "possible_translations": [ "precuela", "protosecuela", "retrohistoria" ] }, "2243": { "input": "fabric", "output": "tela", "possible_translations": [ "género", "tejido", "tela" ] }, "2244": { "input": "disruption", "output": "desorden", "possible_translations": [ "desorganización", "quebranto", "interrupción", "desorden", "incidente", "ruptura" ] }, "2245": { "input": "synagogue", "output": "sinagoga", "possible_translations": [ "sinagoga" ] }, "2246": { "input": "import", "output": "importación", "possible_translations": [ "significado", "importar", "importación", "importancia" ] }, "2247": { "input": "influenza", "output": "gripe", "possible_translations": [ "gripa", "gripe" ] }, "2248": { "input": "pavilion", "output": "pabellón", "possible_translations": [ "pabellón" ] }, "2249": { "input": "smallpox", "output": "viruela", "possible_translations": [ "viruela" ] }, "2250": { "input": "pottery", "output": "alfarería", "possible_translations": [ "alfarería", "cerámica", "loza" ] }, "2251": { "input": "trumpet", "output": "barrito", "possible_translations": [ "trompeta", "barrito", "barritar", "tocar a la trompeta", "berrido", "trompetear" ] }, "2252": { "input": "surf", "output": "marea", "possible_translations": [ "oleaje", "surfear", "marea" ] }, "2253": { "input": "sensitivity", "output": "sensibilidad", "possible_translations": [ "sensibilidad" ] }, "2254": { "input": "mandate", "output": "mandato", "possible_translations": [ "mandato" ] }, "2255": { "input": "beef", "output": "vacuno", "possible_translations": [ "vacuno" ] }, "2256": { "input": "mistress", "output": "maestra", "possible_translations": [ "amante", "maestra", "querida" ] }, "2257": { "input": "breakfast", "output": "desayuno", "possible_translations": [ "desayunar", "desayuno" ] }, "2258": { "input": "slogan", "output": "eslogan", "possible_translations": [ "eslogan", "lema" ] }, "2259": { "input": "taxation", "output": "régimen fiscal", "possible_translations": [ "régimen fiscal", "tasación" ] }, "2260": { "input": "geography", "output": "geografía", "possible_translations": [ "geografía" ] }, "2261": { "input": "spine", "output": "lomo", "possible_translations": [ "lomo", "espinazo", "espina" ] }, "2262": { "input": "flu", "output": "gripe", "possible_translations": [ "gripa", "gripe" ] }, "2263": { "input": "inauguration", "output": "inauguración", "possible_translations": [ "investidura", "inauguración" ] }, "2264": { "input": "abolition", "output": "abolición", "possible_translations": [ "abolición" ] }, "2265": { "input": "hostility", "output": "hostilidad", "possible_translations": [ "hostilidad" ] }, "2266": { "input": "influx", "output": "entrada", "possible_translations": [ "entrada" ] }, "2267": { "input": "millimetre", "output": "milímetro", "possible_translations": [ "milímetro" ] }, "2268": { "input": "hind", "output": "cierva", "possible_translations": [ "trasero", "cierva" ] }, "2269": { "input": "subway", "output": "metro", "possible_translations": [ "metro", "subte", "paso subterráneo" ] }, "2270": { "input": "symbolism", "output": "simbolismo", "possible_translations": [ "simbolismo" ] }, "2271": { "input": "endorsement", "output": "endoso", "possible_translations": [ "endoso" ] }, "2272": { "input": "aristocracy", "output": "aristocracia", "possible_translations": [ "aristocracia" ] }, "2273": { "input": "disability", "output": "discapacidad", "possible_translations": [ "incapacidad", "discapacidad" ] }, "2274": { "input": "prohibition", "output": "prohibición", "possible_translations": [ "prohibición" ] }, "2275": { "input": "feast", "output": "festín", "possible_translations": [ "festín", "comilona", "fiesta" ] }, "2276": { "input": "shower", "output": "ducha", "possible_translations": [ "rociar", "regadera", "ducha", "duchar", "bañarse", "chubasco", "ducharse" ] }, "2277": { "input": "symmetry", "output": "simetría", "possible_translations": [ "simetría" ] }, "2278": { "input": "pirate", "output": "pirata", "possible_translations": [ "pirata", "piratear" ] }, "2279": { "input": "confession", "output": "confesión", "possible_translations": [ "confesión" ] }, "2280": { "input": "nationalism", "output": "nacionalismo", "possible_translations": [ "nacionalismo" ] }, "2281": { "input": "neutrality", "output": "neutralidad", "possible_translations": [ "neutralidad" ] }, "2282": { "input": "wisdom", "output": "sabiduría", "possible_translations": [ "sabiduría" ] }, "2283": { "input": "communism", "output": "comunismo", "possible_translations": [ "comunismo" ] }, "2284": { "input": "mast", "output": "mástil", "possible_translations": [ "mástil" ] }, "2285": { "input": "desk", "output": "escritorio", "possible_translations": [ "pupitre", "escritorio" ] }, "2286": { "input": "homeland", "output": "patria", "possible_translations": [ "tierra natal", "patria" ] }, "2287": { "input": "robbery", "output": "robo", "possible_translations": [ "robo" ] }, "2288": { "input": "survivor", "output": "sobreviviente", "possible_translations": [ "sobreviviente", "superviviente" ] }, "2289": { "input": "pulp", "output": "pulpa", "possible_translations": [ "pulpa dental", "pulpa", "pulpa dentaria", "pulpa de celulosa" ] }, "2290": { "input": "chronicle", "output": "crónica", "possible_translations": [ "crónica" ] }, "2291": { "input": "toxicity", "output": "toxicidad", "possible_translations": [ "toxicidad" ] }, "2292": { "input": "researcher", "output": "investigador", "possible_translations": [ "investigador" ] }, "2293": { "input": "niece", "output": "sobrina", "possible_translations": [ "sobrina" ] }, "2294": { "input": "ecosystem", "output": "ecosistema", "possible_translations": [ "ecosistema" ] }, "2295": { "input": "incarnation", "output": "encarnación", "possible_translations": [ "encarnación" ] }, "2296": { "input": "plague", "output": "plaga", "possible_translations": [ "molestar", "atormentar", "plaga", "plagar" ] }, "2297": { "input": "hemisphere", "output": "hemisferio", "possible_translations": [ "hemisferio" ] }, "2298": { "input": "inventory", "output": "inventario", "possible_translations": [ "inventariar", "inventario" ] }, "2299": { "input": "donation", "output": "donación", "possible_translations": [ "donativo", "donación" ] }, "2300": { "input": "calibre", "output": "calibre", "possible_translations": [ "calibre", "calaña" ] }, "2301": { "input": "journalism", "output": "periodismo", "possible_translations": [ "periodismo" ] }, "2302": { "input": "aluminium", "output": "aluminio", "possible_translations": [ "aluminio" ] }, "2303": { "input": "annexation", "output": "anexión", "possible_translations": [ "anexión" ] }, "2304": { "input": "canvas", "output": "lona", "possible_translations": [ "lona" ] }, "2305": { "input": "crush", "output": "aplastamiento", "possible_translations": [ "estar encaprichado", "machacar", "estar colado", "aplastamiento", "estar embobado", "aplastar", "subyugar" ] }, "2306": { "input": "offset", "output": "ajuste", "possible_translations": [ "descuento", "compensar", "ajuste", "impresión Offset", "reducción", "desplazamiento", "compensación" ] }, "2307": { "input": "reliance", "output": "dependiente", "possible_translations": [ "dependencia", "confianza", "dependiente" ] }, "2308": { "input": "authenticity", "output": "autenticidad", "possible_translations": [ "autenticidad" ] }, "2309": { "input": "interval", "output": "intervalo", "possible_translations": [ "intervalo" ] }, "2310": { "input": "eligibility", "output": "elegibilidad", "possible_translations": [ "elegibilidad" ] }, "2311": { "input": "breath", "output": "respiración", "possible_translations": [ "aliento", "respiración", "respiro" ] }, "2312": { "input": "cane", "output": "caña", "possible_translations": [ "bastón", "bastón blanco", "caña" ] }, "2313": { "input": "crack", "output": "chasquido", "possible_translations": [ "chiste", "broma", "soltar gallos", "grieta", "piedra", "raja", "resquebrajar", "rendija", "gallo ; gallo", "agrietarse", "crack", "chasquido", "estallido" ] }, "2314": { "input": "sediment", "output": "sedimento", "possible_translations": [ "sedimento" ] }, "2315": { "input": "pension", "output": "pensión", "possible_translations": [ "pensionar", "pensión" ] }, "2316": { "input": "bathroom", "output": "cuarto de baño", "possible_translations": [ "cuarto de baño", "servicio", "baño" ] }, "2317": { "input": "drain", "output": "drenaje", "possible_translations": [ "desaguar", "tubo abierto", "drenaje", "drenar", "desagüe" ] }, "2318": { "input": "nightclub", "output": "club nocturno", "possible_translations": [ "club nocturno" ] }, "2319": { "input": "salvage", "output": "salvamento", "possible_translations": [ "rescate", "rescatar", "salvamento" ] }, "2320": { "input": "rage", "output": "rabia", "possible_translations": [ "rabia" ] }, "2321": { "input": "stiff", "output": "tieso", "possible_translations": [ "tieso; rígido", "adolorido", "inflexible", "tieso", "serio", "rígido", "duro", "severo" ] }, "2322": { "input": "workshop", "output": "taller", "possible_translations": [ "taller" ] }, "2323": { "input": "vault", "output": "salto", "possible_translations": [ "bóveda", "saltar", "salto", "cripta" ] }, "2324": { "input": "tuberculosis", "output": "tuberculosis", "possible_translations": [ "tuberculosis" ] }, "2325": { "input": "timeline", "output": "cronología", "possible_translations": [ "cronología", "diagrama cronológico", "línea de tiempo", "calendario" ] }, "2326": { "input": "cow", "output": "bovino", "possible_translations": [ "bovino", "vaca", "intimidar", "bruja" ] }, "2327": { "input": "enclosure", "output": "encierro", "possible_translations": [ "encierro", "reparto", "recinto", "cercamiento" ] }, "2328": { "input": "milestone", "output": "hito", "possible_translations": [ "mojón", "hito" ] }, "2329": { "input": "graph", "output": "grafo", "possible_translations": [ "gráfico", "grafo" ] }, "2330": { "input": "scrutiny", "output": "escrutinio", "possible_translations": [ "escrutinio" ] }, "2331": { "input": "bust", "output": "busto", "possible_translations": [ "reventar", "fiasco", "busto" ] }, "2332": { "input": "shuttle", "output": "lanzadera", "possible_translations": [ "transportar", "lanzadera" ] }, "2333": { "input": "illusion", "output": "ilusión", "possible_translations": [ "ilusión" ] }, "2334": { "input": "experimentation", "output": "experimentación", "possible_translations": [ "experimentación" ] }, "2335": { "input": "privilege", "output": "privilegio", "possible_translations": [ "privilegiar", "privilegio" ] }, "2336": { "input": "bend", "output": "banda", "possible_translations": [ "banda", "curvar", "doblarse", "doblegar", "doblar" ] }, "2337": { "input": "circus", "output": "circo", "possible_translations": [ "circo" ] }, "2338": { "input": "doll", "output": "muñeca", "possible_translations": [ "muñeca" ] }, "2339": { "input": "beak", "output": "pico", "possible_translations": [ "pico" ] }, "2340": { "input": "lumber", "output": "madera aserrada", "possible_translations": [ "madera aserrada" ] }, "2341": { "input": "monopoly", "output": "monopolio", "possible_translations": [ "monopolio" ] }, "2342": { "input": "lacrosse", "output": "lacrosse", "possible_translations": [ "lacrosse", "intercross", "vilorta" ] }, "2343": { "input": "snout", "output": "hocico", "possible_translations": [ "probóscide", "trompa", "hocico", "boquilla" ] }, "2344": { "input": "populace", "output": "populacho", "possible_translations": [ "populacho" ] }, "2345": { "input": "trait", "output": "rasgo", "possible_translations": [ "rasgo", "característica" ] }, "2346": { "input": "dislike", "output": "aversión", "possible_translations": [ "no gustar", "aversión", "tener aversión", "desagradar" ] }, "2347": { "input": "porch", "output": "pórtico", "possible_translations": [ "pórtico", "porche" ] }, "2348": { "input": "cement", "output": "pegamento", "possible_translations": [ "cementar", "cemento", "pegamento" ] }, "2349": { "input": "terrorism", "output": "terrorismo", "possible_translations": [ "terrorismo" ] }, "2350": { "input": "finalist", "output": "finalista", "possible_translations": [ "finalista" ] }, "2351": { "input": "wilderness", "output": "naturaleza", "possible_translations": [ "jungla", "descampado", "tierra salvaje", "naturaleza", "selva", "páramo" ] }, "2352": { "input": "playwright", "output": "dramaturgo", "possible_translations": [ "dramaturgo", "dramaturga" ] }, "2353": { "input": "irrigation", "output": "riego", "possible_translations": [ "hello", "irrigación", "riego" ] }, "2354": { "input": "turmoil", "output": "desorden", "possible_translations": [ "dificultad", "turbulencia", "desorden" ] }, "2355": { "input": "chocolate", "output": "bombón", "possible_translations": [ "bombón", "achocolatado", "chocolate", "chocolateado", "de chocolate" ] }, "2356": { "input": "equator", "output": "ecuador", "possible_translations": [ "ecuador" ] }, "2357": { "input": "proclamation", "output": "proclamación", "possible_translations": [ "proclamación" ] }, "2358": { "input": "reconciliation", "output": "reconciliación", "possible_translations": [ "reconciliación" ] }, "2359": { "input": "plea", "output": "alegato", "possible_translations": [ "alegato", "súplica" ] }, "2360": { "input": "weaponry", "output": "armas", "possible_translations": [ "armas" ] }, "2361": { "input": "friction", "output": "fricción", "possible_translations": [ "fricción" ] }, "2362": { "input": "dignity", "output": "dignidad", "possible_translations": [ "dignidad" ] }, "2363": { "input": "advocacy", "output": "apoyo", "possible_translations": [ "defensa", "apoyo" ] }, "2364": { "input": "activism", "output": "activismo", "possible_translations": [ "activismo" ] }, "2365": { "input": "diplomat", "output": "diplomático", "possible_translations": [ "diplomática", "diplomático" ] }, "2366": { "input": "punch", "output": "ponche", "possible_translations": [ "picar", "dar un puñetazo", "perforar", "puñete", "ponche", "puñetazo", "sacabocado", "taladrar", "perforadora", "punzonar" ] }, "2367": { "input": "denial", "output": "negación", "possible_translations": [ "negación" ] }, "2368": { "input": "fraction", "output": "fracción", "possible_translations": [ "", "fracción", "quebrado" ] }, "2369": { "input": "prediction", "output": "predicción", "possible_translations": [ "predicción" ] }, "2370": { "input": "dictator", "output": "dictador", "possible_translations": [ "dictadora", "dictador" ] }, "2371": { "input": "fragment", "output": "fragmento", "possible_translations": [ "fragmentar", "fragmento" ] }, "2372": { "input": "boycott", "output": "boicot", "possible_translations": [ "boicot", "boicoteo", "boicotear" ] }, "2373": { "input": "ambulance", "output": "ambulancia", "possible_translations": [ "ambulancia" ] }, "2374": { "input": "encouragement", "output": "apoyo", "possible_translations": [ "apoyo" ] }, "2375": { "input": "peat", "output": "turba", "possible_translations": [ "turba" ] }, "2376": { "input": "satisfaction", "output": "satisfacción", "possible_translations": [ "satisfacción" ] }, "2377": { "input": "bunch", "output": "montón", "possible_translations": [ "ramo", "bolsada", "pandilla", "grupo", "racimo", "enracimarse", "montón", "manojo", "puñado", "arracimarse" ] }, "2378": { "input": "sensation", "output": "sensación", "possible_translations": [ "sensación" ] }, "2379": { "input": "scenery", "output": "decorado", "possible_translations": [ "decorado" ] }, "2380": { "input": "courthouse", "output": "palacio de justicia", "possible_translations": [ "palacio de justicia" ] }, "2381": { "input": "bride", "output": "novia", "possible_translations": [ "novia" ] }, "2382": { "input": "medication", "output": "medicación", "possible_translations": [ "medicación" ] }, "2383": { "input": "archaeology", "output": "arqueología", "possible_translations": [ "arqueología" ] }, "2384": { "input": "likelihood", "output": "verosimilitud", "possible_translations": [ "verosimilitud" ] }, "2385": { "input": "vaccine", "output": "vacuna", "possible_translations": [ "vacuna" ] }, "2386": { "input": "telegraph", "output": "telégrafo", "possible_translations": [ "telégrafo", "telegrafiar" ] }, "2387": { "input": "contractor", "output": "contratista", "possible_translations": [ "contratista" ] }, "2388": { "input": "taxi", "output": "taxi", "possible_translations": [ "carretear", "libre", "taxi", "taxímetro" ] }, "2389": { "input": "mess", "output": "desorden", "possible_translations": [ "leonera", "desorden" ] }, "2390": { "input": "participant", "output": "participante", "possible_translations": [ "participante" ] }, "2391": { "input": "brake", "output": "freno", "possible_translations": [ "freno", "frenar" ] }, "2392": { "input": "murderer", "output": "asesino", "possible_translations": [ "asesina", "asesino" ] }, "2393": { "input": "expertise", "output": "pericia", "possible_translations": [ "pericia" ] }, "2394": { "input": "citadel", "output": "ciudadela", "possible_translations": [ "ciudadela" ] }, "2395": { "input": "cord", "output": "cuerda", "possible_translations": [ "hilo", "cuerda", "cable", "cordón" ] }, "2396": { "input": "cinematography", "output": "cinematografía", "possible_translations": [ "cinematografía" ] }, "2397": { "input": "autism", "output": "autismo", "possible_translations": [ "autismo" ] }, "2398": { "input": "lesson", "output": "lección", "possible_translations": [ "lección" ] }, "2399": { "input": "genome", "output": "genoma", "possible_translations": [ "genoma" ] }, "2400": { "input": "diffusion", "output": "difusión", "possible_translations": [ "difusión" ] }, "2401": { "input": "privacy", "output": "intimidad", "possible_translations": [ "intimidad" ] }, "2402": { "input": "apparatus", "output": "aparato", "possible_translations": [ "aparato", "equipo" ] }, "2403": { "input": "peasant", "output": "campesino", "possible_translations": [ "campesino", "peón", "montañero" ] }, "2404": { "input": "capitalism", "output": "capitalismo", "possible_translations": [ "capitalismo" ] }, "2405": { "input": "contempt", "output": "desgracia", "possible_translations": [ "deshonra", "desgracia", "desacato", "vergüenza", "desprecio", "desdén" ] }, "2406": { "input": "booklet", "output": "libreto", "possible_translations": [ "libreto", "folleto" ] }, "2407": { "input": "prosecutor", "output": "fiscal", "possible_translations": [ "fiscal" ] }, "2408": { "input": "amusement", "output": "diversión", "possible_translations": [ "diversión", "divertimiento" ] }, "2409": { "input": "restriction", "output": "restricción", "possible_translations": [ "restricción" ] }, "2410": { "input": "gust", "output": "ráfaga", "possible_translations": [ "ráfaga" ] }, "2411": { "input": "tent", "output": "tienda", "possible_translations": [ "tienda", "carpa", "toldo" ] }, "2412": { "input": "expectation", "output": "expectativa", "possible_translations": [ "expectación", "expectativa" ] }, "2413": { "input": "pilgrimage", "output": "peregrinación", "possible_translations": [ "peregrinación", "peregrinaje" ] }, "2414": { "input": "legitimacy", "output": "legitimidad", "possible_translations": [ "legitimidad" ] }, "2415": { "input": "meditation", "output": "meditación", "possible_translations": [ "meditación" ] }, "2416": { "input": "analogy", "output": "analogía", "possible_translations": [ "analogía" ] }, "2417": { "input": "socialism", "output": "socialismo", "possible_translations": [ "socialismo" ] }, "2418": { "input": "commuter", "output": "viajero diario", "possible_translations": [ "migrante pendular", "cercanista", "viajero diario", "viajero pendular", "trabajador pendular" ] }, "2419": { "input": "limb", "output": "miembro", "possible_translations": [ "miembro", "extremidad" ] }, "2420": { "input": "vitamin", "output": "vitamínico", "possible_translations": [ "vitamina", "vitamínico" ] }, "2421": { "input": "podium", "output": "podio", "possible_translations": [ "podio" ] }, "2422": { "input": "algorithm", "output": "algoritmo", "possible_translations": [ "algoritmo" ] }, "2423": { "input": "segregation", "output": "segregación", "possible_translations": [ "segregación" ] }, "2424": { "input": "worry", "output": "preocupación", "possible_translations": [ "preocupar", "zozobra", "inquietarse", "inquietar", "estar preocupado", "preocuparse", "preocupación" ] }, "2425": { "input": "molecule", "output": "molécula", "possible_translations": [ "molécula" ] }, "2426": { "input": "teaser", "output": "avance", "possible_translations": [ "avance" ] }, "2427": { "input": "nursery", "output": "criadero", "possible_translations": [ "vivero", "semillero", "criadero" ] }, "2428": { "input": "chancellor", "output": "canciller", "possible_translations": [ "canciller" ] }, "2429": { "input": "cook", "output": "cocinero", "possible_translations": [ "cocinar", "cocerse", "cocinero", "cocer", "cocinera" ] }, "2430": { "input": "lure", "output": "anzuelo", "possible_translations": [ "cebo", "seducir", "atraer", "atractivo", "encanto", "encantar", "anzuelo" ] }, "2431": { "input": "scratch", "output": "arañazo", "possible_translations": [ "arañar", "rascar", "raspar", "arañazo", "rasguñar" ] }, "2432": { "input": "vulnerability", "output": "vulnerabilidad", "possible_translations": [ "vulnerabilidad" ] }, "2433": { "input": "staple", "output": "grapa", "possible_translations": [ "esencialidad", "corchete", "materia prima", "producto principal", "grapar", "engrapar", "grapa", "alimento básico", "alimento de primera necesidad" ] }, "2434": { "input": "guess", "output": "conjetura", "possible_translations": [ "conjeturar", "adivinar", "conjetura", "deducir", "suponer" ] }, "2435": { "input": "bubble", "output": "burbuja", "possible_translations": [ "burbuja", "burbujear", "pompa" ] }, "2436": { "input": "exclusion", "output": "exclusión", "possible_translations": [ "exclusión" ] }, "2437": { "input": "relativity", "output": "relatividad", "possible_translations": [ "relatividad" ] }, "2438": { "input": "sociology", "output": "sociología", "possible_translations": [ "sociología" ] }, "2439": { "input": "stealth", "output": "cautela", "possible_translations": [ "cautela", "sigilo" ] }, "2440": { "input": "scouting", "output": "escultismo", "possible_translations": [ "escultismo" ] }, "2441": { "input": "affinity", "output": "afinidad", "possible_translations": [ "afinidad" ] }, "2442": { "input": "litter", "output": "camada", "possible_translations": [ "parir", "litera", "camada", "cama", "colchón de hojas", "letiera", "detritus" ] }, "2443": { "input": "outlet", "output": "salida", "possible_translations": [ "salida", "minorista de marca", "desahogo", "enchufe", "río que nace en un lago" ] }, "2444": { "input": "cheek", "output": "nalga", "possible_translations": [ "cachete", "cacha", "glúteo", "nalga", "mejilla" ] }, "2445": { "input": "forehead", "output": "frente", "possible_translations": [ "frente" ] }, "2446": { "input": "stature", "output": "estatura", "possible_translations": [ "estatura" ] }, "2447": { "input": "obligation", "output": "compromiso", "possible_translations": [ "compromiso", "obligación", "comprometerse", "deber" ] }, "2448": { "input": "valve", "output": "válvula", "possible_translations": [ "válvula", "llave" ] }, "2449": { "input": "dependence", "output": "dependencia", "possible_translations": [ "dependencia" ] }, "2450": { "input": "flour", "output": "harina", "possible_translations": [ "harina" ] }, "2451": { "input": "wrist", "output": "muñeca", "possible_translations": [ "muñeca" ] }, "2452": { "input": "takeoff", "output": "parodia", "possible_translations": [ "parodia", "despegue" ] }, "2453": { "input": "literacy", "output": "alfabetismo", "possible_translations": [ "alfabetismo" ] }, "2454": { "input": "mutation", "output": "mutación", "possible_translations": [ "mutación" ] }, "2455": { "input": "archaeologist", "output": "arqueólogo", "possible_translations": [ "arqueólogo", "arqueóloga" ] }, "2456": { "input": "activation", "output": "activación", "possible_translations": [ "activación" ] }, "2457": { "input": "simulation", "output": "simulación", "possible_translations": [ "simulación" ] }, "2458": { "input": "subscription", "output": "abono", "possible_translations": [ "abono" ] }, "2459": { "input": "synonym", "output": "sinónimo", "possible_translations": [ "sinónimo" ] }, "2460": { "input": "recession", "output": "recesión", "possible_translations": [ "recesión" ] }, "2461": { "input": "hunger", "output": "hambre", "possible_translations": [ "sed", "hambre", "tener hambre", "tener sed" ] }, "2462": { "input": "validity", "output": "validez", "possible_translations": [ "validez" ] }, "2463": { "input": "yoga", "output": "yoga", "possible_translations": [ "yoga" ] }, "2464": { "input": "plaster", "output": "ungüento", "possible_translations": [ "enlucido", "revoque", "ungüento", "escayola", "yeso" ] }, "2465": { "input": "generator", "output": "generador", "possible_translations": [ "generador", "generador eléctrico" ] }, "2466": { "input": "narration", "output": "narración", "possible_translations": [ "narración" ] }, "2467": { "input": "obstacle", "output": "obstáculo", "possible_translations": [ "obstáculo" ] }, "2468": { "input": "senate", "output": "senado", "possible_translations": [ "senado" ] }, "2469": { "input": "reservation", "output": "reserva", "possible_translations": [ "reserva", "reservación" ] }, "2470": { "input": "attribute", "output": "atributo", "possible_translations": [ "atribuir", "atributo" ] }, "2471": { "input": "pond", "output": "charca", "possible_translations": [ "estanque", "charca", "laguna" ] }, "2472": { "input": "vibe", "output": "onda", "possible_translations": [ "vibra", "onda" ] }, "2473": { "input": "fatigue", "output": "fatiga", "possible_translations": [ "fatiga" ] }, "2474": { "input": "flexibility", "output": "flexibilidad", "possible_translations": [ "flexibilidad" ] }, "2475": { "input": "crane", "output": "grulla", "possible_translations": [ "grulla", "grúa", "estirar" ] }, "2476": { "input": "cassette", "output": "casete", "possible_translations": [ "casete" ] }, "2477": { "input": "courtship", "output": "cortejo", "possible_translations": [ "cortejo" ] }, "2478": { "input": "adulthood", "output": "edad adulta", "possible_translations": [ "edad adulta", "adultez" ] }, "2479": { "input": "seller", "output": "vendedor", "possible_translations": [ "vendedor", "vendedora" ] }, "2480": { "input": "sergeant", "output": "sargento", "possible_translations": [ "sargento" ] }, "2481": { "input": "consort", "output": "consorte", "possible_translations": [ "consorte", "consorcio" ] }, "2482": { "input": "peer", "output": "par", "possible_translations": [ "par" ] }, "2483": { "input": "humidity", "output": "humedad", "possible_translations": [ "humedad" ] }, "2484": { "input": "documentation", "output": "documentación", "possible_translations": [ "documentación" ] }, "2485": { "input": "masonry", "output": "albañilería", "possible_translations": [ "albañilería" ] }, "2486": { "input": "bunker", "output": "búnker", "possible_translations": [ "búnker" ] }, "2487": { "input": "obsession", "output": "obsesión", "possible_translations": [ "obsesión" ] }, "2488": { "input": "contamination", "output": "contaminación", "possible_translations": [ "contaminación" ] }, "2489": { "input": "sickness", "output": "enfermedad", "possible_translations": [ "enfermedad" ] }, "2490": { "input": "antiquity", "output": "antigüedad", "possible_translations": [ "antigüedad" ] }, "2491": { "input": "prostitution", "output": "prostitución", "possible_translations": [ "prostitución" ] }, "2492": { "input": "listener", "output": "oyente", "possible_translations": [ "oyente" ] }, "2493": { "input": "cocaine", "output": "cocaína", "possible_translations": [ "cocaína" ] }, "2494": { "input": "reel", "output": "carrete", "possible_translations": [ "enrollar", "carrete" ] }, "2495": { "input": "vocabulary", "output": "vocabulario", "possible_translations": [ "vocabulario", "léxico" ] }, "2496": { "input": "birthplace", "output": "lugar de nacimiento", "possible_translations": [ "lugar de nacimiento", "lugar natal" ] }, "2497": { "input": "spectacle", "output": "espectáculo", "possible_translations": [ "espectáculo" ] }, "2498": { "input": "swamp", "output": "embalsadero", "possible_translations": [ "ciénaga", "embalse", "pantano", "embalsadero" ] }, "2499": { "input": "crusade", "output": "cruzada", "possible_translations": [ "cruzada" ] }, "2500": { "input": "ink", "output": "tinta", "possible_translations": [ "tatuar", "tinta", "entintar", "firmar" ] }, "2501": { "input": "prejudice", "output": "prejuicio", "possible_translations": [ "prejuicio" ] }, "2502": { "input": "analyst", "output": "analista", "possible_translations": [ "psicoanalista", "analista", "analista de sistemas" ] }, "2503": { "input": "bravery", "output": "valor", "possible_translations": [ "valor" ] }, "2504": { "input": "clone", "output": "clon", "possible_translations": [ "clon", "clonar" ] }, "2505": { "input": "rudder", "output": "timón", "possible_translations": [ "timón" ] }, "2506": { "input": "swift", "output": "vencejo", "possible_translations": [ "vencejo", "rápido" ] }, "2507": { "input": "wardrobe", "output": "armario", "possible_translations": [ "placard", "escaparate", "clóset", "ropero", "empotrado", "armario" ] }, "2508": { "input": "liquor", "output": "licor", "possible_translations": [ "licor" ] }, "2509": { "input": "reliability", "output": "fiabilidad", "possible_translations": [ "fiabilidad" ] }, "2510": { "input": "consistency", "output": "consistencia", "possible_translations": [ "consistencia" ] }, "2511": { "input": "prostitute", "output": "prostituta", "possible_translations": [ "prostituta" ] }, "2512": { "input": "stripe", "output": "galón", "possible_translations": [ "franja", "lista", "galón", "raya", "línea" ] }, "2513": { "input": "receptor", "output": "receptor", "possible_translations": [ "receptor" ] }, "2514": { "input": "antibody", "output": "anticuerpo", "possible_translations": [ "anticuerpo" ] }, "2515": { "input": "salvation", "output": "salvación", "possible_translations": [ "salvación" ] }, "2516": { "input": "alphabet", "output": "alfabeto", "possible_translations": [ "abecedario", "alfabeto" ] }, "2517": { "input": "foliage", "output": "follaje", "possible_translations": [ "follaje" ] }, "2518": { "input": "modernization", "output": "modernización", "possible_translations": [ "modernización" ] }, "2519": { "input": "creativity", "output": "creatividad", "possible_translations": [ "creatividad" ] }, "2520": { "input": "botanist", "output": "botánico", "possible_translations": [ "botánica", "botanista", "botánico" ] }, "2521": { "input": "injection", "output": "inyección", "possible_translations": [ "inyección" ] }, "2522": { "input": "diabetes", "output": "diabetes", "possible_translations": [ "diabetes" ] }, "2523": { "input": "obituary", "output": "necrología", "possible_translations": [ "necrología", "obituario" ] }, "2524": { "input": "cone", "output": "cono", "possible_translations": [ "cucurucho", "cono", "estróbilo", "barquillo" ] }, "2525": { "input": "messenger", "output": "mensajero", "possible_translations": [ "mensajero" ] }, "2526": { "input": "endurance", "output": "resistencia", "possible_translations": [ "resistencia" ] }, "2527": { "input": "abandonment", "output": "abandono", "possible_translations": [ "abandono" ] }, "2528": { "input": "localization", "output": "localización", "possible_translations": [ "localización" ] }, "2529": { "input": "rubble", "output": "escombros", "possible_translations": [ "escombros" ] }, "2530": { "input": "dissent", "output": "disensión", "possible_translations": [ "desacuerdo", "discrepar", "disentir", "disensión", "disconformidad" ] }, "2531": { "input": "granddaughter", "output": "nieta", "possible_translations": [ "nieta" ] }, "2532": { "input": "advancement", "output": "ascenso", "possible_translations": [ "progreso", "ascenso" ] }, "2533": { "input": "credibility", "output": "credibilidad", "possible_translations": [ "credibilidad" ] }, "2534": { "input": "excellence", "output": "excelencia", "possible_translations": [ "excelencia" ] }, "2535": { "input": "repetition", "output": "repetición", "possible_translations": [ "repetición" ] }, "2536": { "input": "neglect", "output": "negligencia", "possible_translations": [ "negligencia", "descuidar", "perecear" ] }, "2537": { "input": "perfection", "output": "perfección", "possible_translations": [ "perfección" ] }, "2538": { "input": "voter", "output": "votante", "possible_translations": [ "votante" ] }, "2539": { "input": "hiking", "output": "senderismo", "possible_translations": [ "senderismo" ] }, "2540": { "input": "paperback", "output": "libro de bolsillo", "possible_translations": [ "libro de bolsillo" ] }, "2541": { "input": "witchcraft", "output": "brujería", "possible_translations": [ "brujería" ] }, "2542": { "input": "strand", "output": "hebra", "possible_translations": [ "pelo", "abandonar", "hebra", "pequeño mechón", "varar", "playa" ] }, "2543": { "input": "ceasefire", "output": "alto el fuego", "possible_translations": [ "alto el fuego", "tregua", "armisticio" ] }, "2544": { "input": "accompaniment", "output": "acompañamiento", "possible_translations": [ "acompañamiento" ] }, "2545": { "input": "periphery", "output": "periferia", "possible_translations": [ "periferia" ] }, "2546": { "input": "modeling", "output": "modelaje", "possible_translations": [ "modelaje" ] }, "2547": { "input": "vapor", "output": "vapor", "possible_translations": [ "vapor" ] }, "2548": { "input": "inventor", "output": "inventor", "possible_translations": [ "inventora", "inventor" ] }, "2549": { "input": "quartet", "output": "cuarteto", "possible_translations": [ "cuarteto" ] }, "2550": { "input": "asset", "output": "bien", "possible_translations": [ "bien", "valor", "activo" ] }, "2551": { "input": "container", "output": "recipiente", "possible_translations": [ "recipiente", "contenedor" ] }, "2552": { "input": "discontent", "output": "descontento", "possible_translations": [ "descontento" ] }, "2553": { "input": "resentment", "output": "resentimiento", "possible_translations": [ "resentimiento" ] }, "2554": { "input": "envelope", "output": "sobre", "possible_translations": [ "sobre" ] }, "2555": { "input": "cartoonist", "output": "dibujante", "possible_translations": [ "dibujante" ] }, "2556": { "input": "sailor", "output": "marinero", "possible_translations": [ "marinero" ] }, "2557": { "input": "diversion", "output": "distracción", "possible_translations": [ "desviación", "distracción" ] }, "2558": { "input": "tumor", "output": "tumor", "possible_translations": [ "tumor" ] }, "2559": { "input": "landslide", "output": "corrimiento de tierra", "possible_translations": [ "voto mayoritario", "corrimiento de tierra" ] }, "2560": { "input": "shelf", "output": "estantería", "possible_translations": [ "arrecife", "estante", "estantería", "balda", "tabla", "anaquel", "banco", "cordón" ] }, "2561": { "input": "affiliation", "output": "afiliación", "possible_translations": [ "afiliación", "filiación" ] }, "2562": { "input": "deterioration", "output": "deterioro", "possible_translations": [ "deterioro", "deterioración" ] }, "2563": { "input": "metabolism", "output": "metabolismo", "possible_translations": [ "metabolismo" ] }, "2564": { "input": "thorium", "output": "torio", "possible_translations": [ "torio" ] }, "2565": { "input": "recapture", "output": "reconquista", "possible_translations": [ "reconquistar", "reconquista" ] }, "2566": { "input": "stud", "output": "semental", "possible_translations": [ "mango", "padrillo", "garañón", "cadena", "galán", "semental", "arracada", "poste", "columna", "criadero" ] }, "2567": { "input": "sermon", "output": "sermón", "possible_translations": [ "sermón" ] }, "2568": { "input": "mathematician", "output": "matemático", "possible_translations": [ "matemático", "matemática" ] }, "2569": { "input": "expulsion", "output": "expulsión", "possible_translations": [ "expulsión" ] }, "2570": { "input": "pollen", "output": "polen", "possible_translations": [ "polen" ] }, "2571": { "input": "concussion", "output": "conmoción cerebral", "possible_translations": [ "concusión", "conmoción cerebral" ] }, "2572": { "input": "jewellery", "output": "joyería", "possible_translations": [ "alhajas", "joyas", "joyería" ] }, "2573": { "input": "purity", "output": "pureza", "possible_translations": [ "pureza" ] }, "2574": { "input": "eclipse", "output": "eclipse", "possible_translations": [ "eclipse", "eclipsar" ] }, "2575": { "input": "compartment", "output": "compartimiento", "possible_translations": [ "compartimiento" ] }, "2576": { "input": "excuse", "output": "excusa", "possible_translations": [ "excusa", "perdonar", "excusar" ] }, "2577": { "input": "gateway", "output": "puerta", "possible_translations": [ "salida", "pórtico", "verja", "puerta", "entrada" ] }, "2578": { "input": "elbow", "output": "codo", "possible_translations": [ "codo" ] }, "2579": { "input": "pardon", "output": "perdón", "possible_translations": [ "indultar", "perdón", "perdonar", "indulto" ] }, "2580": { "input": "scent", "output": "olor", "possible_translations": [ "fragancia", "olor", "olfato", "esencia" ] }, "2581": { "input": "rhetoric", "output": "retórica", "possible_translations": [ "retórica" ] }, "2582": { "input": "pot", "output": "marihuana", "possible_translations": [ "olla", "marihuana", "marmita", "pote" ] }, "2583": { "input": "restraint", "output": "control", "possible_translations": [ "control", "limitación", "restricción", "detención" ] }, "2584": { "input": "superintendent", "output": "superintendente -", "possible_translations": [ "supervisor", "superintendente -", "director" ] }, "2585": { "input": "exhaust", "output": "tubo de escape", "possible_translations": [ "escape", "agotar", "tubo de escape" ] }, "2586": { "input": "semifinal", "output": "semifinal", "possible_translations": [ "semifinal" ] }, "2587": { "input": "objection", "output": "objeción", "possible_translations": [ "objeción", "protesta" ] }, "2588": { "input": "deficiency", "output": "deficiencia", "possible_translations": [ "deficiencia", "insuficiencia" ] }, "2589": { "input": "terrace", "output": "terraza", "possible_translations": [ "terraplenar", "terraza", "terrado" ] }, "2590": { "input": "fertility", "output": "fertilidad", "possible_translations": [ "fertilidad" ] }, "2591": { "input": "chemist", "output": "químico", "possible_translations": [ "químico", "química" ] }, "2592": { "input": "parrot", "output": "papagayo", "possible_translations": [ "loro", "hablar como un papagayo", "cotorra", "papagayo" ] }, "2593": { "input": "smile", "output": "sonrisa", "possible_translations": [ "sonrisa", "sonreír" ] }, "2594": { "input": "luminosity", "output": "luminosidad", "possible_translations": [ "luminosidad" ] }, "2595": { "input": "float", "output": "carroza", "possible_translations": [ "flotar", "carroza" ] }, "2596": { "input": "stallion", "output": "semental", "possible_translations": [ "mango", "padrillo", "papasote", "semental", "cojudo", "entero", "potro", "cuero" ] }, "2597": { "input": "supremacy", "output": "supremacía", "possible_translations": [ "supremacía" ] }, "2598": { "input": "bath", "output": "baño", "possible_translations": [ "baño", "cuarto de baño", "bañera", "bañar" ] }, "2599": { "input": "citation", "output": "cita", "possible_translations": [ "cita", "mención", "citación" ] }, "2600": { "input": "consultation", "output": "consulta", "possible_translations": [ "consulta" ] }, "2601": { "input": "treasury", "output": "tesoro", "possible_translations": [ "tesoro" ] }, "2602": { "input": "neighbourhood", "output": "vecindad", "possible_translations": [ "colonia", "barrio", "vecindad", "fraccionamiento" ] }, "2603": { "input": "camping", "output": "camping", "possible_translations": [ "camping" ] }, "2604": { "input": "conditioning", "output": "condicionamiento", "possible_translations": [ "condicionamiento" ] }, "2605": { "input": "magistrate", "output": "magistrado", "possible_translations": [ "magistrado" ] }, "2606": { "input": "bikini", "output": "biquini", "possible_translations": [ "biquini" ] }, "2607": { "input": "phosphate", "output": "fosfato", "possible_translations": [ "fosfato" ] }, "2608": { "input": "techno", "output": "techno", "possible_translations": [ "techno" ] }, "2609": { "input": "conscription", "output": "reclutamiento", "possible_translations": [ "reclutamiento" ] }, "2610": { "input": "kidnapping", "output": "secuestro", "possible_translations": [ "secuestro" ] }, "2611": { "input": "spray", "output": "spray", "possible_translations": [ "ramito", "pulverizar", "difundir", "difusión", "spray", "aerosol", "atomizar" ] }, "2612": { "input": "feminism", "output": "feminismo", "possible_translations": [ "feminismo" ] }, "2613": { "input": "assertion", "output": "afirmación", "possible_translations": [ "aserto", "afirmación" ] }, "2614": { "input": "tutor", "output": "tutor", "possible_translations": [ "tutor" ] }, "2615": { "input": "recipe", "output": "receta", "possible_translations": [ "receta" ] }, "2616": { "input": "compliance", "output": "cumplimiento", "possible_translations": [ "cumplimiento" ] }, "2617": { "input": "sect", "output": "secta", "possible_translations": [ "culto", "secta" ] }, "2618": { "input": "brood", "output": "nidada", "possible_translations": [ "nidada" ] }, "2619": { "input": "dopamine", "output": "dopamina", "possible_translations": [ "dopamina" ] }, "2620": { "input": "tuition", "output": "enseñanza", "possible_translations": [ "enseñanza", "colegiatura", "clases" ] }, "2621": { "input": "silicon", "output": "silicio", "possible_translations": [ "silicio" ] }, "2622": { "input": "famine", "output": "hambruna", "possible_translations": [ "hambre", "hambruna" ] }, "2623": { "input": "reinforcement", "output": "refuerzo", "possible_translations": [ "refuerzo" ] }, "2624": { "input": "dissatisfaction", "output": "descontento", "possible_translations": [ "descontento" ] }, "2625": { "input": "denomination", "output": "denominación", "possible_translations": [ "denominación" ] }, "2626": { "input": "basket", "output": "canasta", "possible_translations": [ "cesta", "canasta", "cesto" ] }, "2627": { "input": "manipulation", "output": "manipulación", "possible_translations": [ "manipulación" ] }, "2628": { "input": "insignia", "output": "insignia", "possible_translations": [ "distintivo", "insignia" ] }, "2629": { "input": "delta", "output": "delta", "possible_translations": [ "delta" ] }, "2630": { "input": "stereotype", "output": "estereotipo", "possible_translations": [ "estereotipo" ] }, "2631": { "input": "liability", "output": "responsabilidad", "possible_translations": [ "responsabilidad" ] }, "2632": { "input": "maid", "output": "doncella", "possible_translations": [ "señorita", "doncella" ] }, "2633": { "input": "certainty", "output": "certeza", "possible_translations": [ "certeza" ] }, "2634": { "input": "semester", "output": "semestre", "possible_translations": [ "semestre" ] }, "2635": { "input": "clutch", "output": "cloch", "possible_translations": [ "croche", "embrague", "nidada", "cloche", "clutch", "cloch", "aferrar" ] }, "2636": { "input": "gut", "output": "tripa", "possible_translations": [ "tripa", "panza", "tripas", "intestino" ] }, "2637": { "input": "hazard", "output": "peligro", "possible_translations": [ "peligrar", "arriesgar", "peligro", "riesgo" ] }, "2638": { "input": "grenade", "output": "granada", "possible_translations": [ "granada" ] }, "2639": { "input": "remark", "output": "observación", "possible_translations": [ "observación" ] }, "2640": { "input": "leap", "output": "salto", "possible_translations": [ "saltar", "salto" ] }, "2641": { "input": "nonsense", "output": "tontería", "possible_translations": [ "disparate", "sin sentido", "estupidez", "tonterías", "tontería", "parida" ] }, "2642": { "input": "prevalence", "output": "predominancia", "possible_translations": [ "predominio", "prevalencia", "predominancia", "preponderancia" ] }, "2643": { "input": "toilet", "output": "inodoro", "possible_translations": [ "muladar", "retrete", "excusado", "aseo", "inodoro", "vestidor", "taza del baño", "wáter", "watercló", "chiquero", "poceta", "váter", "baño", "arreglo", "sanitario" ] }, "2644": { "input": "pile", "output": "montón", "possible_translations": [ "montón", "conjunto" ] }, "2645": { "input": "pad", "output": "bloc", "possible_translations": [ "bloc" ] }, "2646": { "input": "originality", "output": "originalidad", "possible_translations": [ "originalidad" ] }, "2647": { "input": "attire", "output": "atuendo", "possible_translations": [ "atuendo", "atavío", "ataviar" ] }, "2648": { "input": "verb", "output": "verbo", "possible_translations": [ "verbo" ] }, "2649": { "input": "cheating", "output": "trampa", "possible_translations": [ "trampa" ] }, "2650": { "input": "unification", "output": "unificación", "possible_translations": [ "unificación" ] }, "2651": { "input": "electorate", "output": "electorado", "possible_translations": [ "electorado" ] }, "2652": { "input": "taxonomy", "output": "taxonomía", "possible_translations": [ "taxonomía" ] }, "2653": { "input": "pony", "output": "poni", "possible_translations": [ "caballito", "poni" ] }, "2654": { "input": "acceleration", "output": "aceleración", "possible_translations": [ "aceleración" ] }, "2655": { "input": "sighting", "output": "avistamiento", "possible_translations": [ "avistaje", "avistamiento" ] }, "2656": { "input": "topography", "output": "topografía", "possible_translations": [ "topografía" ] }, "2657": { "input": "dairy", "output": "granja", "possible_translations": [ "lechería", "granja lechera", "lácteo", "granja", "lácteos", "establo", "con 100% grasa láctea" ] }, "2658": { "input": "mercy", "output": "misericordia", "possible_translations": [ "piedad", "misericordia" ] }, "2659": { "input": "hormone", "output": "hormona", "possible_translations": [ "hormona" ] }, "2660": { "input": "toe", "output": "dedo del pie", "possible_translations": [ "ortejo", "dedo del pie" ] }, "2661": { "input": "sabotage", "output": "sabotaje", "possible_translations": [ "sabotear", "sabotaje" ] }, "2662": { "input": "smuggling", "output": "contrabando", "possible_translations": [ "contrabando" ] }, "2663": { "input": "forum", "output": "foro", "possible_translations": [ "foro" ] }, "2664": { "input": "telegram", "output": "telegrama", "possible_translations": [ "telegrama" ] }, "2665": { "input": "lizard", "output": "lagarto", "possible_translations": [ "lagarto" ] }, "2666": { "input": "butter", "output": "mantequilla", "possible_translations": [ "mantequilla", "manteca", "untar con mantequilla" ] }, "2667": { "input": "convenience", "output": "comodidad", "possible_translations": [ "comodidad", "conveniencia" ] }, "2668": { "input": "exposition", "output": "exposición", "possible_translations": [ "exposición" ] }, "2669": { "input": "readiness", "output": "preparación", "possible_translations": [ "preparación" ] }, "2670": { "input": "computing", "output": "computación", "possible_translations": [ "computación" ] }, "2671": { "input": "ribbon", "output": "cinta", "possible_translations": [ "moño", "cinta", "galón", "lazo" ] }, "2672": { "input": "calculation", "output": "cálculo", "possible_translations": [ "cómputo", "calculo", "cálculo", "conjetura" ] }, "2673": { "input": "interrogation", "output": "interrogatorio", "possible_translations": [ "signo de interrogación", "interrogatorio", "interrogación" ] }, "2674": { "input": "pornography", "output": "pornografía", "possible_translations": [ "pornografía" ] }, "2675": { "input": "pulse", "output": "pulso", "possible_translations": [ "pulso" ] }, "2676": { "input": "pepper", "output": "pimiento", "possible_translations": [ "pimienta", "acribillar", "pimiento", "pimentero" ] }, "2677": { "input": "discourse", "output": "discurso", "possible_translations": [ "discurso", "conversación" ] }, "2678": { "input": "doorway", "output": "entrada", "possible_translations": [ "entrada" ] }, "2679": { "input": "distortion", "output": "distorsión", "possible_translations": [ "distorsión" ] }, "2680": { "input": "grape", "output": "uva", "possible_translations": [ "uva", "parra", "vid" ] }, "2681": { "input": "whaling", "output": "caza de ballenas", "possible_translations": [ "caza de ballenas" ] }, "2682": { "input": "heel", "output": "cuscurro", "possible_translations": [ "poner talón o tacón a", "seguir de cerca", "tacón", "cuscurro", "taco", "talón", "mendrugo" ] }, "2683": { "input": "secrecy", "output": "secreto", "possible_translations": [ "secreto" ] }, "2684": { "input": "wavelength", "output": "longitud de onda", "possible_translations": [ "longitud de onda" ] }, "2685": { "input": "arbitration", "output": "arbitraje", "possible_translations": [ "arbitraje" ] }, "2686": { "input": "nectar", "output": "néctar", "possible_translations": [ "néctar" ] }, "2687": { "input": "prevention", "output": "prevención", "possible_translations": [ "prevención" ] }, "2688": { "input": "fringe", "output": "orla", "possible_translations": [ "capul", "extremista", "cerquillo", "a contracorriente", "pollina", "orlar", "chasquilla", "radical", "orla", "marginal", "pava", "china", "fleco", "flequillo", "periferia" ] }, "2689": { "input": "transcription", "output": "transcripción", "possible_translations": [ "transcripción" ] }, "2690": { "input": "whistle", "output": "silbato", "possible_translations": [ "chiflido", "pito", "chifle", "pitar", "pitada", "chiflar", "silbar", "silbato", "pitido" ] }, "2691": { "input": "spear", "output": "lanza", "possible_translations": [ "lanza", "arpón" ] }, "2692": { "input": "commencement", "output": "inicio", "possible_translations": [ "inicio", "incoación" ] }, "2693": { "input": "boot", "output": "bota", "possible_translations": [ "arrancar", "cepo", "bota" ] }, "2694": { "input": "nationality", "output": "nacionalidad", "possible_translations": [ "nacionalidad" ] }, "2695": { "input": "puck", "output": "disco de goma", "possible_translations": [ "disco", "disco de goma" ] }, "2696": { "input": "titanium", "output": "titanio", "possible_translations": [ "titanio" ] }, "2697": { "input": "waist", "output": "cintura", "possible_translations": [ "cintura" ] }, "2698": { "input": "classroom", "output": "aula", "possible_translations": [ "salón de clases", "sala de clases", "aula" ] }, "2699": { "input": "algae", "output": "algas", "possible_translations": [ "algas" ] }, "2700": { "input": "irony", "output": "ironía", "possible_translations": [ "ironía" ] }, "2701": { "input": "tap", "output": "machuelo", "possible_translations": [ "intervenir", "grifo", "canilla", "chuzar", "pinchar", "pluma", "dar golpecitos", "llave", "tapón", "paja", "machuelo" ] }, "2702": { "input": "drafting", "output": "dibujo técnico", "possible_translations": [ "dibujo técnico" ] }, "2703": { "input": "intro", "output": "intro", "possible_translations": [ "intro" ] }, "2704": { "input": "consul", "output": "cónsul", "possible_translations": [ "cónsul" ] }, "2705": { "input": "imitation", "output": "imitación", "possible_translations": [ "imitación" ] }, "2706": { "input": "acquaintance", "output": "amistad", "possible_translations": [ "conocida", "junta", "conocimiento", "relación", "conocido", "trato", "amistad" ] }, "2707": { "input": "destiny", "output": "destino", "possible_translations": [ "azar", "destino" ] }, "2708": { "input": "rigging", "output": "jarcia", "possible_translations": [ "jarcia" ] }, "2709": { "input": "upbringing", "output": "crianza", "possible_translations": [ "crianza" ] }, "2710": { "input": "venom", "output": "malicia", "possible_translations": [ "malicia", "veneno" ] }, "2711": { "input": "courtesy", "output": "cortesía", "possible_translations": [ "cortesía", "de cortesía" ] } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/induce/translation_en-fr.json ================================================ { "metadata": { "num_examples": 2811 }, "examples": { "1": { "input": "time", "output": "temps", "possible_translations": [ "chronométrer", "heure", "heure du jour", "fois", "peine", "temps" ] }, "2": { "input": "game", "output": "jeu", "possible_translations": [ "jeu", "gibier" ] }, "3": { "input": "film", "output": "pellicule", "possible_translations": [ "pellicule", "film", "tourner", "filmer" ] }, "4": { "input": "season", "output": "saison", "possible_translations": [ "saison", "épicer", "temps", "assaisonner" ] }, "5": { "input": "year", "output": "année", "possible_translations": [ "an", "année" ] }, "6": { "input": "second", "output": "seconde", "possible_translations": [ "article de second choix", "seconde d'angle", "soutenir", "deuxième", "deux", "seconde", "second", "instant" ] }, "7": { "input": "album", "output": "album", "possible_translations": [ "album" ] }, "8": { "input": "song", "output": "chanson", "possible_translations": [ "chanson" ] }, "9": { "input": "number", "output": "nombre", "possible_translations": [ "entier", "nombre", "numéro", "chiffre", "numéroter", "nombre entier" ] }, "10": { "input": "part", "output": "raie", "possible_translations": [ "organe", "partie", "raie", "se séparer", "séparer", "faire une raie", "rôle" ] }, "11": { "input": "team", "output": "équipe", "possible_translations": [ "équipe" ] }, "12": { "input": "episode", "output": "épisode", "possible_translations": [ "épisode" ] }, "13": { "input": "work", "output": "travail", "possible_translations": [ "travail", "se travailler", "actionner", "œuvre", "broder", "fonctionner", "bosser", "création", "marcher", "travailler" ] }, "14": { "input": "day", "output": "jour", "possible_translations": [ "journée", "jour" ] }, "15": { "input": "end", "output": "fin", "possible_translations": [ "terminer", "fin", "finir", "extrémité", "bout" ] }, "16": { "input": "music", "output": "musique", "possible_translations": [ "musique", "partition" ] }, "17": { "input": "state", "output": "état", "possible_translations": [ "déclarer", "état", "Etat", "État" ] }, "18": { "input": "century", "output": "centurie", "possible_translations": [ "centurie", "siècle" ] }, "19": { "input": "area", "output": "région", "possible_translations": [ "région", "aire" ] }, "20": { "input": "life", "output": "vie", "possible_translations": [ "vie" ] }, "21": { "input": "city", "output": "ville", "possible_translations": [ "ville", "cité" ] }, "22": { "input": "show", "output": "émission", "possible_translations": [ "démonstration", "démontrer", "spectacle", "exposition", "montrer", "émission" ] }, "23": { "input": "war", "output": "bataille", "possible_translations": [ "bataille", "guerre" ] }, "24": { "input": "group", "output": "groupe", "possible_translations": [ "groupe", "grouper" ] }, "25": { "input": "character", "output": "caractère", "possible_translations": [ "caractère", "personnage" ] }, "26": { "input": "system", "output": "système", "possible_translations": [ "système" ] }, "27": { "input": "name", "output": "nom", "possible_translations": [ "choisir", "nom", "identifier", "préciser", "élire", "appeler", "nommer", "dénommer" ] }, "28": { "input": "government", "output": "gouvernement", "possible_translations": [ "gouvernement" ] }, "29": { "input": "line", "output": "ligne", "possible_translations": [ "ride", "ligne", "droite", "trait", "lignée", "ligne de conduite", "croiser", "accoupler" ] }, "30": { "input": "home", "output": "maison", "possible_translations": [ "patrie", "maison", "à la maison" ] }, "31": { "input": "band", "output": "groupe", "possible_translations": [ "groupe" ] }, "32": { "input": "record", "output": "enregistrement", "possible_translations": [ "record", "disque", "enregistrer", "enregistrement" ] }, "33": { "input": "ship", "output": "vaisseau", "possible_translations": [ "navire", "bateau", "vaisseau", "poster", "expédier" ] }, "34": { "input": "world", "output": "La Terre", "possible_translations": [ "univers", "terre", "monde", "La Terre" ] }, "35": { "input": "death", "output": "mort", "possible_translations": [ "mort", "l'arcane sans nom", "la mort", "décès" ] }, "36": { "input": "release", "output": "version", "possible_translations": [ "lâcher", "sortie", "parution", "version", "libérer", "sortir" ] }, "37": { "input": "video", "output": "vidéo", "possible_translations": [ "vidéo", "vidéocassette", "cassette vidéo" ] }, "38": { "input": "role", "output": "rôle", "possible_translations": [ "rôle" ] }, "39": { "input": "match", "output": "allumette", "possible_translations": [ "correspondre", "allumette", "match", "concorder", "accorder", "combiner" ] }, "40": { "input": "way", "output": "manière", "possible_translations": [ "voie", "très", "chemin", "façon", "manière" ] }, "41": { "input": "south", "output": "sud", "possible_translations": [ "midi", "sud", "méridional", "austral" ] }, "42": { "input": "side", "output": "côté", "possible_translations": [ "page", "équipe", "côté", "face" ] }, "43": { "input": "career", "output": "carrière", "possible_translations": [ "carrière" ] }, "44": { "input": "school", "output": "école", "possible_translations": [ "banc", "collège", "école", "université" ] }, "45": { "input": "production", "output": "production", "possible_translations": [ "production" ] }, "46": { "input": "story", "output": "histoire", "possible_translations": [ "conte", "histoire" ] }, "47": { "input": "water", "output": "eau", "possible_translations": [ "verre d'eau", "abreuver", "eau", "mouiller", "arroser", "bouteille d'eau", "eaux", "pleurer" ] }, "48": { "input": "power", "output": "puissance", "possible_translations": [ "puissance", "courant", "électricité", "pouvoir" ] }, "49": { "input": "form", "output": "formulaire", "possible_translations": [ "former", "forme", "formulaire", "se former" ] }, "50": { "input": "storm", "output": "tempête", "possible_translations": [ "tempête", "orage", "tourmente", "donner l’assaut" ] }, "51": { "input": "player", "output": "joueur", "possible_translations": [ "joueur", "actrice", "lecteur", "acteur", "joueuse", "musicien", "fainéante", "musicienne", "fainéant" ] }, "52": { "input": "history", "output": "histoire", "possible_translations": [ "passé", "historique", "histoire" ] }, "53": { "input": "version", "output": "version", "possible_translations": [ "version" ] }, "54": { "input": "support", "output": "soutien", "possible_translations": [ "soutien", "soutenir" ] }, "55": { "input": "book", "output": "livre", "possible_translations": [ "livre", "réserver", "bouquin" ] }, "56": { "input": "period", "output": "période", "possible_translations": [ "point barre!", "un point c'est tout !", "cycle", "période", "point final !", "point", "point !" ] }, "57": { "input": "half", "output": "moitié", "possible_translations": [ "moitié", "demi" ] }, "58": { "input": "company", "output": "compagnie", "possible_translations": [ "entreprise", "société", "firme", "compagnie" ] }, "59": { "input": "position", "output": "position", "possible_translations": [ "position" ] }, "60": { "input": "order", "output": "ordre", "possible_translations": [ "commander", "relation d'ordre", "ranger", "degré", "ordre", "commande" ] }, "61": { "input": "attack", "output": "attaque", "possible_translations": [ "attaquer", "attaque" ] }, "62": { "input": "building", "output": "construction", "possible_translations": [ "bâtiment", "immeuble", "édifice", "construction" ] }, "63": { "input": "town", "output": "ville", "possible_translations": [ "bourg", "commune", "ville", "villotte", "villette" ] }, "64": { "input": "performance", "output": "exécution", "possible_translations": [ "prestation", "performance", "exécution", "représentation" ] }, "65": { "input": "country", "output": "pays", "possible_translations": [ "de la campagne", "campagne", "de la contrée", "pays", "de province", "contrée" ] }, "66": { "input": "west", "output": "ouest", "possible_translations": [ "occidental", "ouest", "vers l'ouest", "occident" ] }, "67": { "input": "service", "output": "service", "possible_translations": [ "maintenir", "service", "servir" ] }, "68": { "input": "father", "output": "père", "possible_translations": [ "papa", "père", "paterner" ] }, "69": { "input": "track", "output": "voie", "possible_translations": [ "voie", "piste", "sillon", "chemin", "marque", "trace", "sentier", "route", "empreinte" ] }, "70": { "input": "club", "output": "club", "possible_translations": [ "boîte de nuit", "gourdin", "club", "bâtonner", "boîte", "trèfle", "bâton" ] }, "71": { "input": "control", "output": "contrôle", "possible_translations": [ "contrôle", "de contrôle", "contrôler" ] }, "72": { "input": "development", "output": "développement", "possible_translations": [ "développement" ] }, "73": { "input": "result", "output": "résultat", "possible_translations": [ "résulter", "résultat" ] }, "74": { "input": "run", "output": "galoper", "possible_translations": [ "couler", "galoper", "s'écouler", "courir", "marcher" ] }, "75": { "input": "week", "output": "semaine", "possible_translations": [ "semaine" ] }, "76": { "input": "class", "output": "classe", "possible_translations": [ "promotion", "cours", "classe" ] }, "77": { "input": "force", "output": "force", "possible_translations": [ "forces", "force", "forcer", "truc", "contraindre", "pouvoir" ] }, "78": { "input": "land", "output": "terre", "possible_translations": [ "terre", "pays", "atterrir", "poser", "se poser", "terrain", "contrée" ] }, "79": { "input": "house", "output": "maison", "possible_translations": [ "chambre", "garer", "héberger", "loger", "abriter", "maison" ] }, "80": { "input": "fire", "output": "feu", "possible_translations": [ "mettre à la porte", "congédier", "incendie", "limoger", "feu", "licencier", "cuire", "faire feu", "tirer", "poêle" ] }, "81": { "input": "television", "output": "télévision", "possible_translations": [ "téléviseur", "télévision", "poste de télévision", "télé" ] }, "82": { "input": "return", "output": "retour", "possible_translations": [ "relancer", "retour", "revenir", "rendre", "retourner", "remettre" ] }, "83": { "input": "head", "output": "tête", "possible_translations": [ "commander", "faire une tête", "chef", "se diriger", "tête", "chapeauter", "diriger" ] }, "84": { "input": "style", "output": "modèle", "possible_translations": [ "modèle" ] }, "85": { "input": "design", "output": "design", "possible_translations": [ "intention", "plan", "dessein", "modèle", "conception", "design" ] }, "86": { "input": "level", "output": "niveau", "possible_translations": [ "plat", "niveau", "niveler" ] }, "87": { "input": "success", "output": "succès", "possible_translations": [ "succès" ] }, "88": { "input": "route", "output": "route", "possible_translations": [ "chemin", "route" ] }, "89": { "input": "member", "output": "membre", "possible_translations": [ "membre" ] }, "90": { "input": "battle", "output": "lutte", "possible_translations": [ "bataille", "lutte", "lutter" ] }, "91": { "input": "addition", "output": "addition", "possible_translations": [ "ajout", "addition" ] }, "92": { "input": "air", "output": "air", "possible_translations": [ "air", "éventer", "aria", "ventiler", "aérer" ] }, "93": { "input": "road", "output": "chemin", "possible_translations": [ "chemin", "route" ] }, "94": { "input": "range", "output": "terrain", "possible_translations": [ "sélection", "image", "champ champ de tir", "gamme", "amplitude", "cuisinière", "chaîne", "distance", "habitat naturel", "habitat", "ensemble d'arrivée", "prairie", "portée", "terrain", "rayon" ] }, "95": { "input": "age", "output": "âge", "possible_translations": [ "âge", "génération", "ère", "vieillir", "époque" ] }, "96": { "input": "race", "output": "race", "possible_translations": [ "course", "race", "s'élancer" ] }, "97": { "input": "body", "output": "corps", "possible_translations": [ "torse", "carrosserie", "organisation", "corps", "corpus", "corps sans vie", "cadavre" ] }, "98": { "input": "present", "output": "présent", "possible_translations": [ "présente", "présent", "présenter" ] }, "99": { "input": "action", "output": "action", "possible_translations": [ "action légale", "action", "action en justice", "mechanisme" ] }, "100": { "input": "population", "output": "population", "possible_translations": [ "population" ] }, "101": { "input": "campaign", "output": "campagne", "possible_translations": [ "campagne" ] }, "102": { "input": "stage", "output": "scène", "possible_translations": [ "calèche", "scène", "forger", "mettre en scène", "platine", "organiser", "monter de toutes pièces", "étape" ] }, "103": { "input": "station", "output": "chaîne", "possible_translations": [ "station", "chaîne", "gare" ] }, "104": { "input": "site", "output": "site", "possible_translations": [ "site" ] }, "105": { "input": "law", "output": "loi", "possible_translations": [ "loi", "théorème", "droit" ] }, "106": { "input": "night", "output": "nuit", "possible_translations": [ "nuitée", "soirée", "nuit", "soir", "obscurité", "noirceur" ] }, "107": { "input": "construction", "output": "construction", "possible_translations": [ "construction" ] }, "108": { "input": "damage", "output": "dégât", "possible_translations": [ "endommager", "dégât", "dommage" ] }, "109": { "input": "case", "output": "cas", "possible_translations": [ "cause", "écrin", "cas", "vitrine", "malle", "casse", "caisse", "carter" ] }, "110": { "input": "event", "output": "événement", "possible_translations": [ "accident", "évènement", "événement" ] }, "111": { "input": "scene", "output": "scène", "possible_translations": [ "scène de ménage", "scène" ] }, "112": { "input": "front", "output": "façade", "possible_translations": [ "devant", "avant", "front", "porte-parole", "façade" ] }, "113": { "input": "ground", "output": "terre", "possible_translations": [ "terre", "haché", "terrain de football", "masse", "gronder", "fond", "moulu", "terrain", "punir", "base", "clouer au sol", "mettre à la terre", "fondation", "sol" ] }, "114": { "input": "field", "output": "champ", "possible_translations": [ "attraper", "campo", "corps", "champ", "terrain" ] }, "115": { "input": "region", "output": "région", "possible_translations": [ "région" ] }, "116": { "input": "office", "output": "office", "possible_translations": [ "bureau", "bons offices", "bon office", "office" ] }, "117": { "input": "example", "output": "exemple", "possible_translations": [ "exemple" ] }, "118": { "input": "wife", "output": "femme", "possible_translations": [ "femme", "épouse" ] }, "119": { "input": "army", "output": "armée", "possible_translations": [ "armée" ] }, "120": { "input": "mother", "output": "mère", "possible_translations": [ "materner", "mère" ] }, "121": { "input": "project", "output": "projet", "possible_translations": [ "projet", "projeter" ] }, "122": { "input": "rest", "output": "repos", "possible_translations": [ "paix", "se reposer", "reposer", "reste", "repos" ] }, "123": { "input": "highway", "output": "grande route", "possible_translations": [ "grande route" ] }, "124": { "input": "training", "output": "entraînement", "possible_translations": [ "entraînement" ] }, "125": { "input": "rock", "output": "rocher", "possible_translations": [ "caillou", "assurer", "gérer", "roc", "rock", "remuer", "sucre d'orge", "bercer", "rocher", "secousse", "secouer", "bouleverser", "roche", "faire tanguer", "diam" ] }, "126": { "input": "shot", "output": "tir", "possible_translations": [ "poids", "frappe", "plomb", "crevé", "dose", "tir", "naze", "fichu", "shooter", "piqure", "coup" ] }, "127": { "input": "process", "output": "procès", "possible_translations": [ "recette", "traiter}", "procès", "digérer", "proceder", "procedé", "processus" ] }, "128": { "input": "command", "output": "commande ; commande", "possible_translations": [ "commander", "commande ; commande", "commandement" ] }, "129": { "input": "month", "output": "mois", "possible_translations": [ "mois" ] }, "130": { "input": "crew", "output": "équipage", "possible_translations": [ "équipe", "équipage" ] }, "131": { "input": "studio", "output": "studio", "possible_translations": [ "studio", "atelier" ] }, "132": { "input": "director", "output": "directeur", "possible_translations": [ "régisseur", "directeur" ] }, "133": { "input": "hurricane", "output": "ouragan", "possible_translations": [ "ouragan" ] }, "134": { "input": "change", "output": "monnaie", "possible_translations": [ "se changer", "muter", "modification", "mutation", "remplacer", "évolution", "se transformer", "changement", "transformer", "changer", "monnaie" ] }, "135": { "input": "appearance", "output": "apparence", "possible_translations": [ "apparence", "apparition", "comparution" ] }, "136": { "input": "goal", "output": "but", "possible_translations": [ "but", "objectif" ] }, "137": { "input": "relationship", "output": "relation", "possible_translations": [ "rapport", "relation" ] }, "138": { "input": "court", "output": "cour", "possible_translations": [ "courtiser", "faire la cour", "tribunal", "court de tennis", "court", "cour" ] }, "139": { "input": "chart", "output": "graphe", "possible_translations": [ "graphe" ] }, "140": { "input": "church", "output": "église", "possible_translations": [ "église" ] }, "141": { "input": "attempt", "output": "attentat", "possible_translations": [ "tentative", "essayer", "tenter", "attentat" ] }, "142": { "input": "recording", "output": "enregistrement", "possible_translations": [ "enregistrement" ] }, "143": { "input": "sound", "output": "son", "possible_translations": [ "sonner de", "sain", "exprimer", "prononcer", "sauf", "sonde", "complet", "sonder", "son", "sonner", "sûr", "tester", "solide" ] }, "144": { "input": "cast", "output": "jet", "possible_translations": [ "sommer", "lancer", "fondre", "plâtrer", "muer", "strabisme", "couler", "jeter", "forme", "voter", "retyper", "additionner", "jet", "transtyper", "plâtre", "moulage", "sonder", "diriger", "moule" ] }, "145": { "input": "base", "output": "base", "possible_translations": [ "caserne", "but", "abject", "ignoble", "bas", "indigne", "baser", "base", "coussin" ] }, "146": { "input": "interest", "output": "intérêt", "possible_translations": [ "intérêt", "intéresser" ] }, "147": { "input": "term", "output": "terme", "possible_translations": [ "limite", "expression", "mot", "terme", "trimestre" ] }, "148": { "input": "post", "output": "poste", "possible_translations": [ "poste", "courrier", "poteau", "poster", "message", "mettre à la poste" ] }, "149": { "input": "art", "output": "art", "possible_translations": [ "art" ] }, "150": { "input": "future", "output": "avenir", "possible_translations": [ "futur", "avenir" ] }, "151": { "input": "league", "output": "ligue", "possible_translations": [ "lieue", "ligue" ] }, "152": { "input": "review", "output": "revue", "possible_translations": [ "révision", "relecture", "critique", "revue" ] }, "153": { "input": "section", "output": "section", "possible_translations": [ "section", "article", "section ; section", "sectionner" ] }, "154": { "input": "evidence", "output": "preuve", "possible_translations": [ "preuve" ] }, "155": { "input": "brother", "output": "frère", "possible_translations": [ "frère", "pair", "semblable", "fraterniser" ] }, "156": { "input": "football", "output": "ballon de foot", "possible_translations": [ "rugby à XIII", "ballon", "football australien", "football", "ballon de foot", "soccer", "foot" ] }, "157": { "input": "election", "output": "élection", "possible_translations": [ "élection" ] }, "158": { "input": "novel", "output": "roman", "possible_translations": [ "nouvelle", "originale", "nouveau", "original", "roman" ] }, "159": { "input": "coast", "output": "côte", "possible_translations": [ "côte", "caboter" ] }, "160": { "input": "person", "output": "personne", "possible_translations": [ "personne" ] }, "161": { "input": "sea", "output": "mer", "possible_translations": [ "mer" ] }, "162": { "input": "gun", "output": "fusil", "possible_translations": [ "arme à feu", "canon", "pistolet", "fusil" ] }, "163": { "input": "hand", "output": "main", "possible_translations": [ "donner", "poignée", "passer", "aiguille", "matelot", "main" ] }, "164": { "input": "study", "output": "étude", "possible_translations": [ "étude", "faire des études", "étudier" ] }, "165": { "input": "response", "output": "réponse", "possible_translations": [ "réponse" ] }, "166": { "input": "star", "output": "étoile", "possible_translations": [ "star", "vedette", "astérisque", "sommité", "étoile", "tenir le rôle principal", "astre" ] }, "167": { "input": "decision", "output": "décision", "possible_translations": [ "décision" ] }, "168": { "input": "magazine", "output": "magasin", "possible_translations": [ "magazine", "arsenal", "magasin", "revue" ] }, "169": { "input": "issue", "output": "livraison ; délivrance", "possible_translations": [ "fructifier", "problème", "délivrer", "point de débat", "faire une percée", "descendance", "exsudat", "publier", "question", "émission ; émission", "polémique", "controverse", "fruit", "flux", "déboucher", "émission", "sortie", "numéro", "fructus", "drain", "progéniture", "livrer", "jaillir", "sortir", "faire une sortie", "donner sur", "descendre de", "émettre", "rejeton", "livraison ; délivrance" ] }, "170": { "input": "debut", "output": "première", "possible_translations": [ "première" ] }, "171": { "input": "program", "output": "programme", "possible_translations": [ "programmation", "programmer", "programme", "émission" ] }, "172": { "input": "score", "output": "partition", "possible_translations": [ "vingtaine", "gagner", "nombre de points", "score", "partition" ] }, "173": { "input": "money", "output": "argent", "possible_translations": [ "argent", "liquide", "monnaie" ] }, "174": { "input": "surface", "output": "surface", "possible_translations": [ "faire surface", "surface" ] }, "175": { "input": "turn", "output": "tour", "possible_translations": [ "tourner", "tour", "devenir" ] }, "176": { "input": "community", "output": "communauté", "possible_translations": [ "communauté" ] }, "177": { "input": "king", "output": "roi", "possible_translations": [ "dame", "roi" ] }, "178": { "input": "bridge", "output": "pont", "possible_translations": [ "chevalet", "bridge", "passerelle", "pont" ] }, "179": { "input": "plan", "output": "plan", "possible_translations": [ "projeter", "plan", "schema" ] }, "180": { "input": "center", "output": "centre", "possible_translations": [ "centre", "milieu", "centre de masse", "foyer", "sujet", "central", "pivot" ] }, "181": { "input": "business", "output": "entreprise", "possible_translations": [ "entreprise", "affaire" ] }, "182": { "input": "pressure", "output": "pression", "possible_translations": [ "pression" ] }, "183": { "input": "percent", "output": "pour cent", "possible_translations": [ "pour cent", "pourcent" ] }, "184": { "input": "speed", "output": "vitesse", "possible_translations": [ "speed", "vitesse", "foncer" ] }, "185": { "input": "president", "output": "président", "possible_translations": [ "président", "présidente" ] }, "186": { "input": "media", "output": "médias", "possible_translations": [ "médias" ] }, "187": { "input": "summer", "output": "été", "possible_translations": [ "été" ] }, "188": { "input": "material", "output": "matériel", "possible_translations": [ "tissu", "matériau", "matière", "étoffe", "matériel" ] }, "189": { "input": "cut", "output": "coupe", "possible_translations": [ "coupée", "coupés", "inciser", "coupe", "coupé", "couper", "coupées", "diminution", "réduire", "coupure", "baisse", "taillé", "entaille", "sécher" ] }, "190": { "input": "writer", "output": "écrivain", "possible_translations": [ "écrivain", "auteur" ] }, "191": { "input": "date", "output": "rendez-vous", "possible_translations": [ "date", "rendez-vous d'amour", "rendez-vous", "vieillir", "dater", "datte" ] }, "192": { "input": "influence", "output": "influence", "possible_translations": [ "influer", "influencer", "influence" ] }, "193": { "input": "fleet", "output": "flotte", "possible_translations": [ "flotte" ] }, "194": { "input": "size", "output": "taille", "possible_translations": [ "grandeur", "taille" ] }, "195": { "input": "structure", "output": "structure", "possible_translations": [ "structure" ] }, "196": { "input": "fact", "output": "fait", "possible_translations": [ "vérité", "fait" ] }, "197": { "input": "past", "output": "passé", "possible_translations": [ "dernier", "après", "passé", "passée", "dernière" ] }, "198": { "input": "type", "output": "type", "possible_translations": [ "caractère", "taper", "genre", "taper à la machine", "dactylographier", "type" ] }, "199": { "input": "daughter", "output": "fille", "possible_translations": [ "fille" ] }, "200": { "input": "car", "output": "voiture", "possible_translations": [ "automobile", "voiture", "auto", "char", "wagon" ] }, "201": { "input": "food", "output": "aliment", "possible_translations": [ "bouffe", "manger", "nourriture", "alimentation", "aliment" ] }, "202": { "input": "room", "output": "pièce", "possible_translations": [ "chambre", "place", "salle", "espace", "pièce" ] }, "203": { "input": "movement", "output": "mouvement", "possible_translations": [ "mouvement" ] }, "204": { "input": "cost", "output": "coût", "possible_translations": [ "coût", "frais", "coûter" ] }, "205": { "input": "river", "output": "torrent", "possible_translations": [ "rivière", "fleuve", "torrent" ] }, "206": { "input": "contract", "output": "contrat", "possible_translations": [ "contracter", "se rétracter", "contrat", "se recroqueviller" ] }, "207": { "input": "view", "output": "vue", "possible_translations": [ "vision", "considérer", "vue", "regarder", "regard" ] }, "208": { "input": "language", "output": "langage", "possible_translations": [ "langage", "jargon", "langue" ] }, "209": { "input": "staff", "output": "personnel", "possible_translations": [ "personnel", "doter en personnel", "canne", "staff", "portée", "bâton" ] }, "210": { "input": "course", "output": "cours", "possible_translations": [ "parcourir", "cours", "parcours", "trajectoire", "plat" ] }, "211": { "input": "experience", "output": "expérience", "possible_translations": [ "expérience", "éprouver" ] }, "212": { "input": "producer", "output": "producteur", "possible_translations": [ "producteur" ] }, "213": { "input": "research", "output": "recherche", "possible_translations": [ "explorer", "rechercher", "fouiller", "recherche", "examiner" ] }, "214": { "input": "radio", "output": "radio", "possible_translations": [ "radio", "radiodiffusion" ] }, "215": { "input": "space", "output": "espace", "possible_translations": [ "blanc", "espace", "espacer" ] }, "216": { "input": "feature", "output": "fonctionnalité", "possible_translations": [ "trait )", "fonctionnalité", "caractéristique", "spécialité", "particularité" ] }, "217": { "input": "division", "output": "division", "possible_translations": [ "division" ] }, "218": { "input": "effect", "output": "effet", "possible_translations": [ "effet", "effectuer", "effets" ] }, "219": { "input": "leader", "output": "chef", "possible_translations": [ "leader", "chef", "dirigeant" ] }, "220": { "input": "woman", "output": "femme", "possible_translations": [ "femme" ] }, "221": { "input": "voice", "output": "voix", "possible_translations": [ "son", "énoncer", "voter", "exprimer", "voix", "proclamer", "clamer", "orateur" ] }, "222": { "input": "face", "output": "face", "possible_translations": [ "faire face à", "face", "visage", "gueule", "figure", "affronter", "physionomie" ] }, "223": { "input": "gold", "output": "or", "possible_translations": [ "d’or", "médaille d'or", "or", "doré" ] }, "224": { "input": "increase", "output": "augmentation", "possible_translations": [ "augmentation", "croître", "augmenter" ] }, "225": { "input": "friend", "output": "petit ami", "possible_translations": [ "", "copine", "ami", "amie copine", "petit ami", "se lier d'amitié", "copain", "petite amie" ] }, "226": { "input": "location", "output": "lieu", "possible_translations": [ "lieu", "situation", "position", "emplacement", "localisation" ] }, "227": { "input": "status", "output": "statut", "possible_translations": [ "statut" ] }, "228": { "input": "child", "output": "enfant", "possible_translations": [ "enfant" ] }, "229": { "input": "report", "output": "rapport", "possible_translations": [ "rendre des comptes", "signaler", "reportage", "rapport", "rapporter", "communiqué" ] }, "230": { "input": "village", "output": "village", "possible_translations": [ "village" ] }, "231": { "input": "majority", "output": "majorité", "possible_translations": [ "majorité" ] }, "232": { "input": "cause", "output": "cause", "possible_translations": [ "cause", "raison", "causer" ] }, "233": { "input": "act", "output": "acte", "possible_translations": [ "se comporter", "acte", "édit", "agir", "faire", "loi", "réagir", "action", "jouer" ] }, "234": { "input": "minute", "output": "minute", "possible_translations": [ "procès-verbal", "minuscule", "minute", "moment", "minutieux", "instant" ] }, "235": { "input": "meeting", "output": "réunion", "possible_translations": [ "réunion", "rencontre" ] }, "236": { "input": "park", "output": "parc", "possible_translations": [ "parquer", "parc", "jardin public", "stationner", "garer" ] }, "237": { "input": "nature", "output": "nature", "possible_translations": [ "nature" ] }, "238": { "input": "flight", "output": "vol", "possible_translations": [ "volée", "fuite", "vol" ] }, "239": { "input": "information", "output": "renseignement", "possible_translations": [ "renseignement", "information", "informations" ] }, "240": { "input": "fight", "output": "bataille", "possible_translations": [ "se battre", "guerroyer in war", "lutte", "bagarre", "bataille", "combativité", "combattre", "combat" ] }, "241": { "input": "defeat", "output": "défaite", "possible_translations": [ "défaite", "défaire", "vaincre" ] }, "242": { "input": "singer", "output": "chanteur", "possible_translations": [ "chanteur", "chanteuse" ] }, "243": { "input": "need", "output": "besoin", "possible_translations": [ "nécessité", "être obligé de", "avoir besoin de", "besoin" ] }, "244": { "input": "industry", "output": "industrie", "possible_translations": [ "industrie" ] }, "245": { "input": "guitar", "output": "guitare", "possible_translations": [ "guitare" ] }, "246": { "input": "interview", "output": "entretien", "possible_translations": [ "entrevue", "interroger", "avoir une entrevue", "interview", "entretien" ] }, "247": { "input": "hour", "output": "heure", "possible_translations": [ "heure" ] }, "248": { "input": "audience", "output": "audience", "possible_translations": [ "lectorat", "auditoire", "audience", "assistance", "public" ] }, "249": { "input": "education", "output": "éducation", "possible_translations": [ "enseignement", "éducation" ] }, "250": { "input": "attention", "output": "attention", "possible_translations": [ "attention", "attentions" ] }, "251": { "input": "operation", "output": "opération", "possible_translations": [ "opération" ] }, "252": { "input": "officer", "output": "officier", "possible_translations": [ "officier", "fonctionnaire" ] }, "253": { "input": "sister", "output": "sœur", "possible_translations": [ "nonne", "sœur", "religieuse", "infirmière" ] }, "254": { "input": "ability", "output": "habileté", "possible_translations": [ "habileté", "capacité", "pouvoir" ] }, "255": { "input": "depression", "output": "dépression", "possible_translations": [ "dépression" ] }, "256": { "input": "pop", "output": "pop", "possible_translations": [ "pop" ] }, "257": { "input": "deal", "output": "contrat", "possible_translations": [ "traiter", "pli", "donne", "part", "agir", "faire le commerce", "marché", "distribuer", "faire face", "contrat" ] }, "258": { "input": "ball", "output": "balle", "possible_translations": [ "bal", "balle", "boule", "couille", "pelote", "boulet" ] }, "259": { "input": "subject", "output": "sujet", "possible_translations": [ "sujet", "soumettre", "discipline", "matière" ] }, "260": { "input": "commander", "output": "commandeur", "possible_translations": [ "commandeur", "commandant" ] }, "261": { "input": "rate", "output": "taux", "possible_translations": [ "coter", "proportion", "taux" ] }, "262": { "input": "competition", "output": "concours", "possible_translations": [ "concurrence", "compétition", "concours" ] }, "263": { "input": "unit", "output": "unité", "possible_translations": [ "unité" ] }, "264": { "input": "artist", "output": "artiste", "possible_translations": [ "artiste" ] }, "265": { "input": "model", "output": "modèle", "possible_translations": [ "modèle réduit", "mannequin", "maquette", "témoin", "exemple", "modeler", "modéliser", "exemplaire", "modèle" ] }, "266": { "input": "theme", "output": "thème", "possible_translations": [ "thème" ] }, "267": { "input": "wind", "output": "pet", "possible_translations": [ "contourner", "pet", "tourner", "remonter", "souffler", "essouffler", "vent", "s'essouffler", "retourner" ] }, "268": { "input": "pass", "output": "laissez-passer", "possible_translations": [ "sauf-conduit", "laissez-passer", "passer", "mourir", "passage", "réussir", "se passer", "passe" ] }, "269": { "input": "plot", "output": "lopin", "possible_translations": [ "graphique", "tracer", "lopin", "complot", "diagramme", "conspirer", "intrigue" ] }, "270": { "input": "access", "output": "accès", "possible_translations": [ "accéder", "entrée", "accès", "approche", "avoir accès" ] }, "271": { "input": "letter", "output": "lettre", "possible_translations": [ "caractère", "lettre" ] }, "272": { "input": "practice", "output": "pratique", "possible_translations": [ "practiquer", "pratique", "s'entrainer", "entrainer", "pratiquer" ] }, "273": { "input": "capital", "output": "capital", "possible_translations": [ "capital", "capitale", "chapiteau", "majuscule", "excellent" ] }, "274": { "input": "word", "output": "mot", "possible_translations": [ "mot", "Verbe", "verbe", "parole" ] }, "275": { "input": "edition", "output": "édition", "possible_translations": [ "édition" ] }, "276": { "input": "script", "output": "écriture", "possible_translations": [ "écrit", "écriture", "scénario", "script" ] }, "277": { "input": "health", "output": "santé", "possible_translations": [ "santé" ] }, "278": { "input": "movie", "output": "cinéma", "possible_translations": [ "film", "cinéma" ] }, "279": { "input": "network", "output": "réseau", "possible_translations": [ "tissus", "réseau", "réseau informatique", "mettre en réseau", "établir un réseau de contacts" ] }, "280": { "input": "board", "output": "tableau", "possible_translations": [ "compteur", "tableau", "embarquer", "plateau", "conseil d'administration", "planche", "aborder", "monter" ] }, "281": { "input": "effort", "output": "effort", "possible_translations": [ "effort" ] }, "282": { "input": "press", "output": "pressoir", "possible_translations": [ "imprimerie", "presser", "pressoir", "appuyer", "presse" ] }, "283": { "input": "marriage", "output": "mariage", "possible_translations": [ "mariage", "noces" ] }, "284": { "input": "mass", "output": "masse", "possible_translations": [ "masse", "messe" ] }, "285": { "input": "culture", "output": "culture", "possible_translations": [ "culture" ] }, "286": { "input": "cyclone", "output": "cyclone", "possible_translations": [ "cyclone" ] }, "287": { "input": "variety", "output": "variété", "possible_translations": [ "variété" ] }, "288": { "input": "morning", "output": "matin", "possible_translations": [ "matinée", "matin" ] }, "289": { "input": "metal", "output": "métal", "possible_translations": [ "métaux", "métal" ] }, "290": { "input": "combat", "output": "combat", "possible_translations": [ "bataille", "lutte", "combattre", "combat" ] }, "291": { "input": "coach", "output": "coche", "possible_translations": [ "entraîner", "entraîneur", "voiture", "entrainer", "coche" ] }, "292": { "input": "science", "output": "science", "possible_translations": [ "science" ] }, "293": { "input": "source", "output": "source", "possible_translations": [ "sources", "source", "code source" ] }, "294": { "input": "fall", "output": "chute", "possible_translations": [ "chute", "tomber", "déclin", "devenir" ] }, "295": { "input": "presence", "output": "présence", "possible_translations": [ "présence" ] }, "296": { "input": "oil", "output": "huile", "possible_translations": [ "pétrole", "huile" ] }, "297": { "input": "direction", "output": "direction", "possible_translations": [ "direction" ] }, "298": { "input": "break", "output": "espace", "possible_translations": [ "riposter", "contre-attaquer", "battre", "se briser", "ouverture", "casser", "outrepasser", "muer", "dégrader", "se casser", "rompre", "diviser", "briser", "espace", "se rompre", "pause" ] }, "299": { "input": "rule", "output": "règle", "possible_translations": [ "gouverner", "règle", "régler" ] }, "300": { "input": "enemy", "output": "ennemi", "possible_translations": [ "ennemi" ] }, "301": { "input": "yard", "output": "cour", "possible_translations": [ "verge", "yard", "vergue", "jardin", "cour" ] }, "302": { "input": "concert", "output": "concert", "possible_translations": [ "concert" ] }, "303": { "input": "engine", "output": "moteur", "possible_translations": [ "locomotive", "moteur" ] }, "304": { "input": "traffic", "output": "traite", "possible_translations": [ "circulation", "trafic", "traite" ] }, "305": { "input": "advance", "output": "avance", "possible_translations": [ "élever", "progression", "avance", "avancer", "avancée" ] }, "306": { "input": "mission", "output": "mission", "possible_translations": [ "mission" ] }, "307": { "input": "portion", "output": "part", "possible_translations": [ "part", "portion" ] }, "308": { "input": "castle", "output": "château", "possible_translations": [ "château", "roquer", "château-fort" ] }, "309": { "input": "property", "output": "propriété", "possible_translations": [ "accessoire", "possession", "domaine", "propriété" ] }, "310": { "input": "pair", "output": "paire", "possible_translations": [ "paire" ] }, "311": { "input": "award", "output": "prix", "possible_translations": [ "trophé", "décerner", "médaille", "accorder", "prix" ] }, "312": { "input": "impact", "output": "impact sur", "possible_translations": [ "toucher", "collision", "influence sur", "impact sur", "impact", "choc", "affecter" ] }, "313": { "input": "collection", "output": "collection", "possible_translations": [ "collection" ] }, "314": { "input": "call", "output": "appel", "possible_translations": [ "cri", "s'appeler", "téléphoner", "exécution", "chant", "appeler", "sur appel", "visite", "crier", "visiter", "être appelé", "faire appel", "suivre", "appel" ] }, "315": { "input": "port", "output": "port", "possible_translations": [ "port", "vin de Porto", "du bâbord" ] }, "316": { "input": "approach", "output": "approche", "possible_translations": [ "s'approcher de", "approcher", "approche" ] }, "317": { "input": "situation", "output": "situation", "possible_translations": [ "poste", "emploi", "lieu", "localisation", "situation" ] }, "318": { "input": "distance", "output": "distance", "possible_translations": [ "éloigner", "distance", "s'éloigner" ] }, "319": { "input": "amount", "output": "montant", "possible_translations": [ "monter", "correspondre", "quantité", "montant" ] }, "320": { "input": "test", "output": "test", "possible_translations": [ "épreuve", "examen", "test", "tester", "mettre à l'épreuve" ] }, "321": { "input": "inch", "output": "pouce", "possible_translations": [ "poil", "pouce" ] }, "322": { "input": "actor", "output": "acteur", "possible_translations": [ "faiseur", "faiseuse", "actrice", "acteur" ] }, "323": { "input": "piece", "output": "pièce", "possible_translations": [ "morceau", "part", "pièce" ] }, "324": { "input": "today", "output": "aujourd'hui", "possible_translations": [ "de nos jours", "aujourd'hui", "actuellement" ] }, "325": { "input": "train", "output": "caravane", "possible_translations": [ "entraîner", "dompter", "traîne", "pointer", "s'exercer", "exercer", "caravane", "train", "s'entraîner", "former" ] }, "326": { "input": "figure", "output": "figure", "possible_translations": [ "comprendre", "figure", "silhouette", "chiffre", "personnalité", "forme", "réaliser", "résoudre", "personnage" ] }, "327": { "input": "trial", "output": "procès", "possible_translations": [ "triel", "épreuve", "essai", "procès" ] }, "328": { "input": "concept", "output": "concept", "possible_translations": [ "notion", "concept" ] }, "329": { "input": "scale", "output": "échelle", "possible_translations": [ "barbure", "échelle", "squame", "armure d'écailles", "gamme", "balance", "escalader", "écailler", "écaille" ] }, "330": { "input": "society", "output": "société", "possible_translations": [ "société" ] }, "331": { "input": "job", "output": "tâche", "possible_translations": [ "tâche", "travail", "emploi", "-plastie", "métier", "plastie", "job", "poste", "boulot" ] }, "332": { "input": "foot", "output": "pied", "possible_translations": [ "payer", "patte", "pied", "donner un coup de pied" ] }, "333": { "input": "author", "output": "auteur", "possible_translations": [ "auteur", "créer", "écrire" ] }, "334": { "input": "activity", "output": "activité", "possible_translations": [ "activité" ] }, "335": { "input": "policy", "output": "politique", "possible_translations": [ "police", "politique" ] }, "336": { "input": "cross", "output": "croix", "possible_translations": [ "déjouer", "transversale", "croiser", "contraire", "transversal", "fâché", "contrarié", "traverser", "contrecarrer", "croix", "faire le signe de croix", "signe de croix" ] }, "337": { "input": "captain", "output": "capitaine", "possible_translations": [ "capitaine", "capitaine de vaisseau" ] }, "338": { "input": "theory", "output": "théorie", "possible_translations": [ "théorie" ] }, "339": { "input": "account", "output": "compte", "possible_translations": [ "compte", "rapport" ] }, "340": { "input": "invasion", "output": "invasion", "possible_translations": [ "invasion" ] }, "341": { "input": "strength", "output": "force", "possible_translations": [ "force" ] }, "342": { "input": "plant", "output": "matériel", "possible_translations": [ "planter", "matériel", "plante", "végétal" ] }, "343": { "input": "charge", "output": "charge", "possible_translations": [ "frais", "créditer", "armer", "s'élancer", "accuser", "charge", "charger", "inculpation" ] }, "344": { "input": "screen", "output": "écran", "possible_translations": [ "paravent", "écran" ] }, "345": { "input": "wall", "output": "mur", "possible_translations": [ "remparts", "paroi", "murs", "emmurer", "mur" ] }, "346": { "input": "sense", "output": "sens", "possible_translations": [ "sens", "sentir" ] }, "347": { "input": "pilot", "output": "pilote", "possible_translations": [ "programme pilote", "pilote" ] }, "348": { "input": "ice", "output": "glace", "possible_translations": [ "glace sèche", "sorbet", "refroidir", "crème glacée", "neige", "geler", "glace", "congeler", "glacer", "glace à l’eau" ] }, "349": { "input": "reception", "output": "réception", "possible_translations": [ "réception", "accueil" ] }, "350": { "input": "winter", "output": "hiver", "possible_translations": [ "hiver", "hiverner" ] }, "351": { "input": "focus", "output": "foyer", "possible_translations": [ "mettre au point", "se concentrer", "concentrer", "attention", "foyer", "focaliser", "se focaliser", "épicentre" ] }, "352": { "input": "blood", "output": "sang", "possible_translations": [ "sang" ] }, "353": { "input": "weather", "output": "temps", "possible_translations": [ "temps", "intempéries" ] }, "354": { "input": "defense", "output": "défense", "possible_translations": [ "défense" ] }, "355": { "input": "student", "output": "étudiant", "possible_translations": [ "étudiant", "étudiante", "élève" ] }, "356": { "input": "executive", "output": "exécutif", "possible_translations": [ "gestionnaire", "exécutif", "cadre", "administrateur", "directeur" ] }, "357": { "input": "district", "output": "district", "possible_translations": [ "région", "district" ] }, "358": { "input": "image", "output": "image", "possible_translations": [ "image" ] }, "359": { "input": "share", "output": "part", "possible_translations": [ "part", "partager", "action" ] }, "360": { "input": "border", "output": "bordure", "possible_translations": [ "border", "bordure", "frontière", "bord" ] }, "361": { "input": "injury", "output": "blessure", "possible_translations": [ "blessure" ] }, "362": { "input": "equipment", "output": "équipement", "possible_translations": [ "équipement" ] }, "363": { "input": "organization", "output": "organisation", "possible_translations": [ "organisation" ] }, "364": { "input": "stone", "output": "pierre", "possible_translations": [ "pierre", "caillou", "lapider", "roc", "dénoyauter", "calcul", "piedra", "en pierre", "de pierre", "gemme", "pierre précieuse", "défoncer", "roche", "noyau", "épépiner" ] }, "365": { "input": "quarter", "output": "quartier", "possible_translations": [ "quartier", "pièce de vingt-cinq cents", "trimestre", "quarter", "quart" ] }, "366": { "input": "growth", "output": "croissance", "possible_translations": [ "croissance" ] }, "367": { "input": "box", "output": "boîte", "possible_translations": [ "case", "buis", "guérite", "coquille", "téloche", "emboîter", "boxer", "mettre en boîte", "encadré", "protège-sexe", "boîte", "coup de poing" ] }, "368": { "input": "husband", "output": "mari", "possible_translations": [ "époux", "ménager", "économiser", "mari" ] }, "369": { "input": "matter", "output": "matière", "possible_translations": [ "affaire", "importer", "matière" ] }, "370": { "input": "content", "output": "contenu", "possible_translations": [ "contente", "contenu", "content", "satisfaire" ] }, "371": { "input": "travel", "output": "voyage", "possible_translations": [ "transmettre", "propager", "voyager", "voyage" ] }, "372": { "input": "heart", "output": "cœur", "possible_translations": [ "cœur" ] }, "373": { "input": "tournament", "output": "tournoi", "possible_translations": [ "tournoi" ] }, "374": { "input": "conflict", "output": "conflit", "possible_translations": [ "conflit", "incompatibilité" ] }, "375": { "input": "floor", "output": "sol", "possible_translations": [ "parole", "partie entière", "sol" ] }, "376": { "input": "couple", "output": "quelques", "possible_translations": [ "paire", "couple", "époux", "quelques", "deux ou trois..." ] }, "377": { "input": "reference", "output": "référence", "possible_translations": [ "référence", "allusion", "faire référence à", "renvoi", "recommandation" ] }, "378": { "input": "speech", "output": "discours", "possible_translations": [ "discours", "parole" ] }, "379": { "input": "territory", "output": "territoire", "possible_translations": [ "territoire" ] }, "380": { "input": "value", "output": "valeur", "possible_translations": [ "valeur" ] }, "381": { "input": "rainfall", "output": "précipitations", "possible_translations": [ "précipitations" ] }, "382": { "input": "championship", "output": "championnat", "possible_translations": [ "championnat", "championne", "champion" ] }, "383": { "input": "treatment", "output": "traitement", "possible_translations": [ "traitement" ] }, "384": { "input": "university", "output": "université", "possible_translations": [ "université" ] }, "385": { "input": "machine", "output": "machine", "possible_translations": [ "machine" ] }, "386": { "input": "guest", "output": "invité", "possible_translations": [ "hôte", "client", "invité" ] }, "387": { "input": "problem", "output": "problème", "possible_translations": [ "problème" ] }, "388": { "input": "reason", "output": "raison", "possible_translations": [ "raison" ] }, "389": { "input": "horse", "output": "cavalerie", "possible_translations": [ "cavalier", "cheval d'arçons", "cavalerie", "équidé" ] }, "390": { "input": "governor", "output": "gouverneur", "possible_translations": [ "gouverneur", "governeure" ] }, "391": { "input": "soundtrack", "output": "bande son", "possible_translations": [ "bande son", "piste sonore", "musique de film", "bande originale de film" ] }, "392": { "input": "offer", "output": "offre", "possible_translations": [ "offrir", "offre" ] }, "393": { "input": "senior", "output": "supérieur", "possible_translations": [ "aîné", "supérieur" ] }, "394": { "input": "background", "output": "tâche de fond", "possible_translations": [ "en arrière-plan", "milieu", "antécédents", "passé", "fond d'écran", "tâche de fond", "histoire", "fond", "historique", "arrière-plan" ] }, "395": { "input": "degree", "output": "degré", "possible_translations": [ "diplôme", "degré", "ordre" ] }, "396": { "input": "railway", "output": "chemin de fer", "possible_translations": [ "réseau ferroviaire", "chemin de fer", "voie ferrée" ] }, "397": { "input": "authority", "output": "autorité", "possible_translations": [ "autorité" ] }, "398": { "input": "birth", "output": "naissance", "possible_translations": [ "naissance", "accoucher" ] }, "399": { "input": "vote", "output": "vote", "possible_translations": [ "voter", "vote", "voix" ] }, "400": { "input": "filming", "output": "tournage", "possible_translations": [ "tournage" ] }, "401": { "input": "escape", "output": "évasion", "possible_translations": [ "éviter", "échapper", "évasion", "échappatoire" ] }, "402": { "input": "capacity", "output": "capacité", "possible_translations": [ "capacité" ] }, "403": { "input": "basis", "output": "base", "possible_translations": [ "base" ] }, "404": { "input": "fiction", "output": "fiction", "possible_translations": [ "fiction" ] }, "405": { "input": "sequence", "output": "suite", "possible_translations": [ "suite", "séquence", "ordre" ] }, "406": { "input": "weight", "output": "poids", "possible_translations": [ "poids", "lest", "appesantir", "pondérer", "alourdir", "masse", "lester" ] }, "407": { "input": "opposition", "output": "opposition", "possible_translations": [ "opposition" ] }, "408": { "input": "newspaper", "output": "journal", "possible_translations": [ "journal", "papier journal", "journaux" ] }, "409": { "input": "squadron", "output": "escadron", "possible_translations": [ "escadron" ] }, "410": { "input": "risk", "output": "risque", "possible_translations": [ "risque" ] }, "411": { "input": "care", "output": "souci", "possible_translations": [ "se soucier", "souci", "soigner", "s'intéresser", "soin" ] }, "412": { "input": "agreement", "output": "accord", "possible_translations": [ "pacte", "accord", "entente", "contrat" ] }, "413": { "input": "contrast", "output": "contraste", "possible_translations": [ "contraste", "contraster" ] }, "414": { "input": "failure", "output": "échec", "possible_translations": [ "échec", "raté", "panne" ] }, "415": { "input": "nation", "output": "nation", "possible_translations": [ "nation" ] }, "416": { "input": "eye", "output": "œil", "possible_translations": [ "trou", "chas", "œil", "examiner" ] }, "417": { "input": "threat", "output": "danger public", "possible_translations": [ "menace", "danger public" ] }, "418": { "input": "claim", "output": "réclamation", "possible_translations": [ "réclamation", "revendiquer", "affirmation", "revendication", "demande" ] }, "419": { "input": "supply", "output": "approvisionnement", "possible_translations": [ "fournir", "approvisionnement", "approvisionner" ] }, "420": { "input": "disease", "output": "maladie", "possible_translations": [ "maladie" ] }, "421": { "input": "drive", "output": "lecteur", "possible_translations": [ "battre", "chasser", "lecteur", "conduire", "aller", "rendre", "motivation", "emmener", "pulsion", "avancée", "offensive", "guider", "enfoncer", "volonté", "pousser" ] }, "422": { "input": "draft", "output": "gorgée", "possible_translations": [ "courant d'air", "gorgée", "ébauche", "brouillon", "ébaucher", "conscription", "tirant" ] }, "423": { "input": "bill", "output": "facture", "possible_translations": [ "greffe", "note", "piocher", "promontoire", "acte", "projet de loi", "serpe", "tract", "hallebarde", "facture", "bec", "addition", "hallebardier", "serpette" ] }, "424": { "input": "tower", "output": "la maison dieu", "possible_translations": [ "la maison dieu", "tour" ] }, "425": { "input": "administration", "output": "administration", "possible_translations": [ "administration" ] }, "426": { "input": "personnel", "output": "personnel", "possible_translations": [ "personnel" ] }, "427": { "input": "expansion", "output": "expansion", "possible_translations": [ "expansion" ] }, "428": { "input": "boat", "output": "bateau", "possible_translations": [ "bateau" ] }, "429": { "input": "hospital", "output": "hôpital", "possible_translations": [ "hôpital" ] }, "430": { "input": "ring", "output": "anneau", "possible_translations": [ "ring", "sonner", "bague", "piste", "manège", "cercle", "anneau" ] }, "431": { "input": "management", "output": "administration", "possible_translations": [ "administration", "gestion" ] }, "432": { "input": "landing", "output": "palier", "possible_translations": [ "palier", "atterrissage" ] }, "433": { "input": "data", "output": "données", "possible_translations": [ "donnée", "données" ] }, "434": { "input": "choice", "output": "choix", "possible_translations": [ "choix", "de choix", "morceau de choix" ] }, "435": { "input": "northwest", "output": "nord-ouest", "possible_translations": [ "du nord-ouest", "nord-ouest" ] }, "436": { "input": "silver", "output": "argenterie", "possible_translations": [ "argent", "argenterie", "en argent", "argenté" ] }, "437": { "input": "crossing", "output": "carrefour", "possible_translations": [ "carrefour", "croisement", "traversée" ] }, "438": { "input": "fuel", "output": "carburant", "possible_translations": [ "alimenter", "combustible", "carburant", "attiser" ] }, "439": { "input": "contact", "output": "contact", "possible_translations": [ "toucher", "contacter", "contact", "lentille", "connaissance" ] }, "440": { "input": "gas", "output": "gaz", "possible_translations": [ "gaz", "missile", "boulet", "boulet de canon", "essence", "marrant" ] }, "441": { "input": "seat", "output": "assise", "possible_translations": [ "siège", "siège chaise", "assise", "séant" ] }, "442": { "input": "girl", "output": "servante", "possible_translations": [ "fille", "servante", "femme", "jeune fille" ] }, "443": { "input": "committee", "output": "tuteur", "possible_translations": [ "curateur", "tuteur", "gardien", "comité", "commission" ] }, "444": { "input": "drama", "output": "drame", "possible_translations": [ "drame" ] }, "445": { "input": "sex", "output": "sexe", "possible_translations": [ "le sexe", "sexe", "rapports sexuels", "cul", "sexer" ] }, "446": { "input": "spring", "output": "ressort", "possible_translations": [ "printemps", "ressort", "garde", "sauter", "source" ] }, "447": { "input": "article", "output": "article", "possible_translations": [ "article" ] }, "448": { "input": "animal", "output": "bête", "possible_translations": [ "bête", "animal" ] }, "449": { "input": "comedy", "output": "comédie", "possible_translations": [ "comédie" ] }, "450": { "input": "transport", "output": "transport", "possible_translations": [ "reporter", "transport", "transport de troupes", "transporter" ] }, "451": { "input": "paper", "output": "papier", "possible_translations": [ "papier", "en papier", "de papier", "rédaction" ] }, "452": { "input": "genus", "output": "genre", "possible_translations": [ "genre" ] }, "453": { "input": "flag", "output": "drapeau", "possible_translations": [ "pavillon", "sémaphore", "drapeau", "flag", "option", "étendard", "affaiblir", "switch" ] }, "454": { "input": "interchange", "output": "échangeur autoroutier", "possible_translations": [ "échangeur autoroutier" ] }, "455": { "input": "purpose", "output": "intention", "possible_translations": [ "but", "intention", "objectif", "sujet" ] }, "456": { "input": "security", "output": "sécurité", "possible_translations": [ "sécurité", "titre", "sécurisant" ] }, "457": { "input": "infantry", "output": "infanterie", "possible_translations": [ "régiment d'infanterie", "infanterie", "fantassins" ] }, "458": { "input": "search", "output": "recherche", "possible_translations": [ "recherche", "fouiller", "chercher" ] }, "459": { "input": "incident", "output": "incident", "possible_translations": [ "fait-divers", "accident", "incident" ] }, "460": { "input": "mind", "output": "esprit", "possible_translations": [ "prendre garde", "déranger", "esprit" ] }, "461": { "input": "battalion", "output": "bataillon", "possible_translations": [ "bataillon" ] }, "462": { "input": "text", "output": "texte", "possible_translations": [ "textoter", "texte", "texto", "SMS" ] }, "463": { "input": "finish", "output": "fin", "possible_translations": [ "achever", "fini", "fin", "finir", "se terminer" ] }, "464": { "input": "critic", "output": "critique ; détracteur", "possible_translations": [ "critique ; détracteur", "critique", "détractrice" ] }, "465": { "input": "creation", "output": "création", "possible_translations": [ "création" ] }, "466": { "input": "mile", "output": "mille", "possible_translations": [ "mille" ] }, "467": { "input": "budget", "output": "budget", "possible_translations": [ "budget", "budgétaire" ] }, "468": { "input": "tradition", "output": "tradition", "possible_translations": [ "tradition" ] }, "469": { "input": "arrival", "output": "arrivée", "possible_translations": [ "arrivée" ] }, "470": { "input": "ceremony", "output": "cérémonie", "possible_translations": [ "cérémonie" ] }, "471": { "input": "condition", "output": "condition", "possible_translations": [ "condition" ] }, "472": { "input": "thing", "output": "chose", "possible_translations": [ "chose", "machin", "truc" ] }, "473": { "input": "color", "output": "couleur", "possible_translations": [ "teinter", "couleur", "en couleur", "rougir", "colorier", "colorer" ] }, "474": { "input": "intensity", "output": "intensité", "possible_translations": [ "intensité" ] }, "475": { "input": "street", "output": "rue", "possible_translations": [ "rue" ] }, "476": { "input": "session", "output": "session", "possible_translations": [ "séance", "session" ] }, "477": { "input": "wave", "output": "vague", "possible_translations": [ "onde", "ondulation", "saluer", "vague", "onduler" ] }, "478": { "input": "piano", "output": "piano", "possible_translations": [ "piano" ] }, "479": { "input": "criticism", "output": "critique", "possible_translations": [ "critique" ] }, "480": { "input": "planet", "output": "planète", "possible_translations": [ "planète" ] }, "481": { "input": "reign", "output": "règne", "possible_translations": [ "règne", "régner" ] }, "482": { "input": "murder", "output": "meurtre", "possible_translations": [ "homicide", "meurtre" ] }, "483": { "input": "selection", "output": "sélection", "possible_translations": [ "sélection" ] }, "484": { "input": "computer", "output": "ordinateur", "possible_translations": [ "ordinateur" ] }, "485": { "input": "council", "output": "conseil", "possible_translations": [ "conseil" ] }, "486": { "input": "comic", "output": "bande dessinée", "possible_translations": [ "comédien", "cocasse", "comique", "BD", "bande dessinée", "drôle", "marrant" ] }, "487": { "input": "peace", "output": "paix", "possible_translations": [ "paix" ] }, "488": { "input": "opportunity", "output": "opportunité", "possible_translations": [ "chance", "occasion", "opportunité" ] }, "489": { "input": "question", "output": "question", "possible_translations": [ "motion", "mettre en question", "doute", "question", "interroger", "mettre en doute", "questionner", "remettre en question", "douter de" ] }, "490": { "input": "analysis", "output": "analyse", "possible_translations": [ "analyse" ] }, "491": { "input": "shooting", "output": "tir", "possible_translations": [ "tir", "fusillade" ] }, "492": { "input": "display", "output": "représentation", "possible_translations": [ "spectacle", "étaler", "afficher", "représentation" ] }, "493": { "input": "deck", "output": "jeu de cartes", "possible_translations": [ "jeu de cartes", "pont" ] }, "494": { "input": "advantage", "output": "avantage", "possible_translations": [ "favoriser", "avantager", "avantage" ] }, "495": { "input": "conference", "output": "conférence", "possible_translations": [ "conférence" ] }, "496": { "input": "fan", "output": "fan", "possible_translations": [ "fan", "admirateur", "éventail", "ventilateur", "disperser", "admiratrice", "éventer" ] }, "497": { "input": "prison", "output": "prison", "possible_translations": [ "geôle", "cabane", "prison" ] }, "498": { "input": "host", "output": "hôte", "possible_translations": [ "amphitryon", "maître de maison", "hôte", "hostie", "ost", "recevoir", "animer", "animateur", "organisateur", "héberger" ] }, "499": { "input": "volume", "output": "volume", "possible_translations": [ "volume" ] }, "500": { "input": "protection", "output": "protection", "possible_translations": [ "protection" ] }, "501": { "input": "target", "output": "cible", "possible_translations": [ "objectif", "cible", "cibler", "viser" ] }, "502": { "input": "expedition", "output": "expédition", "possible_translations": [ "expédition" ] }, "503": { "input": "publication", "output": "publication", "possible_translations": [ "publication" ] }, "504": { "input": "temperature", "output": "température", "possible_translations": [ "température" ] }, "505": { "input": "economy", "output": "économie", "possible_translations": [ "économie" ] }, "506": { "input": "edge", "output": "bord", "possible_translations": [ "carre", "arête", "côté", "bord" ] }, "507": { "input": "intersection", "output": "intersection", "possible_translations": [ "carrefour", "intersection" ] }, "508": { "input": "motion", "output": "mouvement", "possible_translations": [ "mouvement", "motion" ] }, "509": { "input": "chance", "output": "raccroc", "possible_translations": [ "raccroc", "chance" ] }, "510": { "input": "label", "output": "étiquette", "possible_translations": [ "étiquette", "étiqueter" ] }, "511": { "input": "gain", "output": "gain", "possible_translations": [ "gain", "gagner" ] }, "512": { "input": "element", "output": "élément", "possible_translations": [ "membre", "point", "élément" ] }, "513": { "input": "rear", "output": "arrière", "possible_translations": [ "élever", "arrière-garde", "arrière", "ériger", "derrière" ] }, "514": { "input": "literature", "output": "littérature", "possible_translations": [ "littérature" ] }, "515": { "input": "strike", "output": "strike", "possible_translations": [ "biffer", "frappe", "grève", "strike", "battre", "frapper", "coup" ] }, "516": { "input": "technology", "output": "technologie", "possible_translations": [ "technologie" ] }, "517": { "input": "adult", "output": "adulte", "possible_translations": [ "adulte" ] }, "518": { "input": "resistance", "output": "résistance", "possible_translations": [ "résistance" ] }, "519": { "input": "launch", "output": "lancement", "possible_translations": [ "lancer", "lancement" ] }, "520": { "input": "shape", "output": "forme", "possible_translations": [ "forme", "former", "donner une forme" ] }, "521": { "input": "sign", "output": "signe", "possible_translations": [ "présage", "parler la langue des signes", "faire signer", "dire ... en langue des signes", "symbole", "signe", "marqueur", "langue des signes", "signer", "panneau de signalisation" ] }, "522": { "input": "tax", "output": "impôt", "possible_translations": [ "impôt" ] }, "523": { "input": "agent", "output": "agent", "possible_translations": [ "agent" ] }, "524": { "input": "popularity", "output": "popularité", "possible_translations": [ "popularité" ] }, "525": { "input": "reaction", "output": "réaction", "possible_translations": [ "réaction" ] }, "526": { "input": "editor", "output": "rédacteur", "possible_translations": [ "monteuse", "monteur", "éditeur", "rédacteur" ] }, "527": { "input": "reputation", "output": "réputation", "possible_translations": [ "renommée", "réputation" ] }, "528": { "input": "estate", "output": "domaine", "possible_translations": [ "", "propriété", "proprieté", "domaine" ] }, "529": { "input": "poem", "output": "poème", "possible_translations": [ "poème" ] }, "530": { "input": "southeast", "output": "sud-est", "possible_translations": [ "du sud-est", "sud-est" ] }, "531": { "input": "height", "output": "hauteur", "possible_translations": [ "taille", "hauteur" ] }, "532": { "input": "alternative", "output": "alternative", "possible_translations": [ "alternative", "alternatif" ] }, "533": { "input": "opinion", "output": "avis", "possible_translations": [ "opinion", "avis", "conclusions" ] }, "534": { "input": "steel", "output": "acier", "possible_translations": [ "acier" ] }, "535": { "input": "cricket", "output": "cricket", "possible_translations": [ "cri-cri", "cricket", "criquet", "grillon" ] }, "536": { "input": "lap", "output": "côté", "possible_translations": [ "genoux", "laper", "côté" ] }, "537": { "input": "safety", "output": "sécurité", "possible_translations": [ "sécurité", "sûreté" ] }, "538": { "input": "existence", "output": "existence", "possible_translations": [ "existence" ] }, "539": { "input": "introduction", "output": "introduction", "possible_translations": [ "introduction", "présentation" ] }, "540": { "input": "promotion", "output": "promotion", "possible_translations": [ "promotion" ] }, "541": { "input": "branch", "output": "branche", "possible_translations": [ "brancher", "rameau", "branche", "filiale" ] }, "542": { "input": "product", "output": "produit", "possible_translations": [ "produit" ] }, "543": { "input": "exchange", "output": "échange", "possible_translations": [ "échange", "troc", "troquer", "échanger", "bourse" ] }, "544": { "input": "defence", "output": "défense", "possible_translations": [ "défense" ] }, "545": { "input": "baseball", "output": "balle de baseball", "possible_translations": [ "balle de baseball", "baseball", "base-ball" ] }, "546": { "input": "platform", "output": "scène", "possible_translations": [ "quai", "plateforme", "podium", "scène" ] }, "547": { "input": "mouth", "output": "embouchure", "possible_translations": [ "bouche", "embouchure" ] }, "548": { "input": "request", "output": "requête", "possible_translations": [ "requête", "prier", "demande", "demander" ] }, "549": { "input": "moment", "output": "moment", "possible_translations": [ "moment", "instant" ] }, "550": { "input": "freeway", "output": "autoroute", "possible_translations": [ "autoroute" ] }, "551": { "input": "settlement", "output": "colonie", "possible_translations": [ "agglomération", "règlement", "acte de propriété", "solution", "colonie", "arrangement" ] }, "552": { "input": "note", "output": "note", "possible_translations": [ "noter", "note", "prendre note", "remarquer" ] }, "553": { "input": "description", "output": "signalement", "possible_translations": [ "description", "signalement" ] }, "554": { "input": "method", "output": "méthode", "possible_translations": [ "méthode", "La Méthode" ] }, "555": { "input": "environment", "output": "environnement", "possible_translations": [ "environnement" ] }, "556": { "input": "iron", "output": "fer", "possible_translations": [ "fer à repasser", "fer", "de fer", "repasser" ] }, "557": { "input": "genre", "output": "genre", "possible_translations": [ "genre" ] }, "558": { "input": "composition", "output": "composition", "possible_translations": [ "essai", "œuvre", "composition" ] }, "559": { "input": "reserve", "output": "réserve", "possible_translations": [ "réserve", "réserves", "réserver", "réservation" ] }, "560": { "input": "bank", "output": "banque", "possible_translations": [ "banc", "banque", "rive" ] }, "561": { "input": "southwest", "output": "sud-ouest", "possible_translations": [ "sud-ouest", "du sud-ouest" ] }, "562": { "input": "rain", "output": "pluie", "possible_translations": [ "royer", "pleuvoir", "pleuvoir des cordes", "pluie" ] }, "563": { "input": "violence", "output": "violence", "possible_translations": [ "violence" ] }, "564": { "input": "function", "output": "fonction", "possible_translations": [ "fonction", "fonctionner", "marcher" ] }, "565": { "input": "assault", "output": "assaut", "possible_translations": [ "assaut", "attaquer" ] }, "566": { "input": "battery", "output": "batterie", "possible_translations": [ "pile", "batterie", "coups et blessures" ] }, "567": { "input": "coal", "output": "charbon", "possible_translations": [ "charbon", "braises", "houille" ] }, "568": { "input": "candidate", "output": "candidat", "possible_translations": [ "candidate", "candidat" ] }, "569": { "input": "table", "output": "tableau", "possible_translations": [ "table", "tableau", "mettre sur la table" ] }, "570": { "input": "distribution", "output": "distribution", "possible_translations": [ "distribution" ] }, "571": { "input": "independence", "output": "indépendance", "possible_translations": [ "indépendance" ] }, "572": { "input": "entrance", "output": "entrée", "possible_translations": [ "entrée", "enchanter" ] }, "573": { "input": "combination", "output": "combinaison", "possible_translations": [ "combinaison" ] }, "574": { "input": "forest", "output": "forêt", "possible_translations": [ "forêt", "brousse", "bosquet", "sylve", "bois", "boqueteau" ] }, "575": { "input": "camera", "output": "appareil photo", "possible_translations": [ "caméra", "appareil photo" ] }, "576": { "input": "stadium", "output": "stade", "possible_translations": [ "stade" ] }, "577": { "input": "appeal", "output": "appel", "possible_translations": [ "attrait", "plaire", "faire appel", "interjeter appel", "appeler", "appel" ] }, "578": { "input": "cell", "output": "cellule", "possible_translations": [ "pile", "cellule", "mobile", "portable" ] }, "579": { "input": "decade", "output": "dizaine", "possible_translations": [ "décennie", "décade", "dizaine" ] }, "580": { "input": "boy", "output": "garçon", "possible_translations": [ "garçon", "boy", "gars" ] }, "581": { "input": "winner", "output": "gagnant", "possible_translations": [ "vainqueur", "gagnant" ] }, "582": { "input": "evening", "output": "crépuscule", "possible_translations": [ "soir", "crépuscule" ] }, "583": { "input": "investigation", "output": "investigation", "possible_translations": [ "investigation" ] }, "584": { "input": "message", "output": "message", "possible_translations": [ "message" ] }, "585": { "input": "proposal", "output": "proposition", "possible_translations": [ "proposition" ] }, "586": { "input": "trip", "output": "faux pas", "possible_translations": [ "triper", "s'enfarger", "trip", "se prendre les pieds", "bévue", "faux pas", "trébucher", "croche-pied", "croc-en-jambe", "faire un croche-pied" ] }, "587": { "input": "bit", "output": "mors", "possible_translations": [ "bit", "mors", "peu", "foret", "petit morceau" ] }, "588": { "input": "duty", "output": "devoir", "possible_translations": [ "taxe", "travail", "obligation", "devoir", "service" ] }, "589": { "input": "bomb", "output": "bombe", "possible_translations": [ "bombe sexuelle", "bombe", "bombarder" ] }, "590": { "input": "phase", "output": "phase", "possible_translations": [ "phase" ] }, "591": { "input": "religion", "output": "religion", "possible_translations": [ "religion" ] }, "592": { "input": "hair", "output": "cheveu", "possible_translations": [ "poil", "chevelure", "poils", "cheveux", "cheveu" ] }, "593": { "input": "controversy", "output": "controverse", "possible_translations": [ "controverse", "polémique" ] }, "594": { "input": "hall", "output": "salle", "possible_translations": [ "couloir", "salon", "foyer", "manoir", "résidence universitaire", "corridor", "hall", "salle" ] }, "595": { "input": "tail", "output": "queue", "possible_translations": [ "pile", "queue" ] }, "596": { "input": "importance", "output": "importance", "possible_translations": [ "importance" ] }, "597": { "input": "actress", "output": "actrice", "possible_translations": [ "actrice" ] }, "598": { "input": "bird", "output": "oiseau", "possible_translations": [ "minette", "poule", "taule", "oiselet", "nana", "tôle", "gonzesse", "oiselle", "oiseau", "petit oiseau", "doigt d'honneur" ] }, "599": { "input": "owner", "output": "propriétaire", "possible_translations": [ "propriétaire" ] }, "600": { "input": "steam", "output": "vapeur", "possible_translations": [ "cuisiner à la vapeur", "vapeur" ] }, "601": { "input": "opera", "output": "opéra", "possible_translations": [ "opéra" ] }, "602": { "input": "crime", "output": "crime", "possible_translations": [ "crime" ] }, "603": { "input": "composer", "output": "compositeur", "possible_translations": [ "compositeur" ] }, "604": { "input": "transfer", "output": "transfert", "possible_translations": [ "transfert", "transférer" ] }, "605": { "input": "price", "output": "prix", "possible_translations": [ "prix" ] }, "606": { "input": "mountain", "output": "montagne", "possible_translations": [ "montagne" ] }, "607": { "input": "extension", "output": "extension", "possible_translations": [ "extension" ] }, "608": { "input": "roof", "output": "toit", "possible_translations": [ "toit" ] }, "609": { "input": "driving", "output": "conduite", "possible_translations": [ "conduite" ] }, "610": { "input": "identity", "output": "identité", "possible_translations": [ "identité" ] }, "611": { "input": "bottom", "output": "fond", "possible_translations": [ "bas", "passif", "cul", "dessous", "arrière-train", "fond", "derrière" ] }, "612": { "input": "zone", "output": "zone", "possible_translations": [ "zone" ] }, "613": { "input": "challenge", "output": "défi", "possible_translations": [ "défier", "défi", "challenge" ] }, "614": { "input": "lane", "output": "voie", "possible_translations": [ "voie", "chemin", "ruelle", "allée" ] }, "615": { "input": "rail", "output": "rail", "possible_translations": [ "rails", "rail", "râle" ] }, "616": { "input": "principal", "output": "principal", "possible_translations": [ "proviseur", "directrice", "principal", "proviseure", "directeur" ] }, "617": { "input": "hotel", "output": "hôtel", "possible_translations": [ "hôtel" ] }, "618": { "input": "relief", "output": "relief", "possible_translations": [ "soulagement", "allégement", "relief", "relève" ] }, "619": { "input": "debate", "output": "débat", "possible_translations": [ "débattre", "discussion", "débat" ] }, "620": { "input": "depth", "output": "profondeur", "possible_translations": [ "profondeur" ] }, "621": { "input": "purchase", "output": "achat", "possible_translations": [ "acheter", "acquisition", "acquérir", "achat" ] }, "622": { "input": "departure", "output": "déviation", "possible_translations": [ "déviation", "départ" ] }, "623": { "input": "income", "output": "revenu", "possible_translations": [ "revenu", "recette" ] }, "624": { "input": "decline", "output": "déclin", "possible_translations": [ "accorder", "refuser", "décliner", "déclin" ] }, "625": { "input": "accident", "output": "accident", "possible_translations": [ "accident" ] }, "626": { "input": "recognition", "output": "reconnaissance", "possible_translations": [ "reconnaissance" ] }, "627": { "input": "connection", "output": "connexion", "possible_translations": [ "lien", "connexion", "rapport", "correspondance", "complicité" ] }, "628": { "input": "mode", "output": "mode", "possible_translations": [ "mode" ] }, "629": { "input": "progress", "output": "progrès", "possible_translations": [ "amélioration", "progresser", "progrès" ] }, "630": { "input": "sequel", "output": "suite", "possible_translations": [ "suite" ] }, "631": { "input": "disc", "output": "disque", "possible_translations": [ "disque" ] }, "632": { "input": "museum", "output": "musée", "possible_translations": [ "musée" ] }, "633": { "input": "armor", "output": "armure", "possible_translations": [ "cuirasse", "armure" ] }, "634": { "input": "measure", "output": "mesure", "possible_translations": [ "mesurer", "mesures", "mesure" ] }, "635": { "input": "department", "output": "ministère", "possible_translations": [ "département", "ministère" ] }, "636": { "input": "demand", "output": "demande", "possible_translations": [ "exiger", "demande", "exige" ] }, "637": { "input": "spot", "output": "tache", "possible_translations": [ "bouton", "s'apercevoir", "tacher", "endroit", "tache", "détecter", "détacher", "repérer", "peu", "trouver" ] }, "638": { "input": "tank", "output": "réservoir", "possible_translations": [ "citerne", "cuve", "réservoir", "char de combat", "aquarium", "tank", "bonbonne", "bouteille" ] }, "639": { "input": "intelligence", "output": "renseignements", "possible_translations": [ "renseignements", "intelligence" ] }, "640": { "input": "possibility", "output": "possibilité", "possible_translations": [ "possibilité" ] }, "641": { "input": "journey", "output": "voyage", "possible_translations": [ "voyager", "voyage" ] }, "642": { "input": "freedom", "output": "liberté", "possible_translations": [ "liberté" ] }, "643": { "input": "drug", "output": "drogue", "possible_translations": [ "drogue", "droguer" ] }, "644": { "input": "generation", "output": "génération", "possible_translations": [ "création", "génération" ] }, "645": { "input": "replacement", "output": "remplaçant", "possible_translations": [ "substitut", "remplaçant" ] }, "646": { "input": "downtown", "output": "centre-ville", "possible_translations": [ "quartier d'affaires", "centre-ville" ] }, "647": { "input": "assistance", "output": "assistance", "possible_translations": [ "assistance" ] }, "648": { "input": "destruction", "output": "destruction", "possible_translations": [ "destruction" ] }, "649": { "input": "youth", "output": "jeunesse", "possible_translations": [ "jeunesse", "jeune", "les jeunes", "jeune homme" ] }, "650": { "input": "medal", "output": "médaille", "possible_translations": [ "médaille" ] }, "651": { "input": "task", "output": "tâche", "possible_translations": [ "tâche", "corvée" ] }, "652": { "input": "block", "output": "bloc", "possible_translations": [ "bloc", "blocage", "ciboulot", "boucher", "obstruction", "tronche", "bloquer", "rue", "immeuble", "tête", "pâté", "contrer", "pâté de maison", "billot" ] }, "653": { "input": "guard", "output": "garde", "possible_translations": [ "protection", "arrière", "gardien", "garde", "garder", "défense" ] }, "654": { "input": "regiment", "output": "régiment", "possible_translations": [ "régiment" ] }, "655": { "input": "chorus", "output": "chœur", "possible_translations": [ "refrain", "chœur", "chorale", "chœur antique" ] }, "656": { "input": "hip", "output": "hanche", "possible_translations": [ "hanche", "cynorrhodon" ] }, "657": { "input": "establishment", "output": "établissement", "possible_translations": [ "établissement", "establishment" ] }, "658": { "input": "store", "output": "entrepôt", "possible_translations": [ "stocker", "entrepôt", "conserver", "stock" ] }, "659": { "input": "completion", "output": "achèvement", "possible_translations": [ "achèvement", "exécution" ] }, "660": { "input": "origin", "output": "origine", "possible_translations": [ "origine", "source" ] }, "661": { "input": "responsibility", "output": "responsabilité", "possible_translations": [ "responsabilité" ] }, "662": { "input": "warning", "output": "avertir", "possible_translations": [ "avertir", "attention", "avertissement" ] }, "663": { "input": "skin", "output": "peau", "possible_translations": [ "peau", "écorcher", "apparence" ] }, "664": { "input": "page", "output": "page", "possible_translations": [ "biper", "page", "convoquer", "moment", "haut fait", "feuilleter", "paginer" ] }, "665": { "input": "province", "output": "province", "possible_translations": [ "province", "état" ] }, "666": { "input": "glass", "output": "verre", "possible_translations": [ "verre" ] }, "667": { "input": "path", "output": "chemin", "possible_translations": [ "sentier", "chemin" ] }, "668": { "input": "passage", "output": "passage", "possible_translations": [ "passage" ] }, "669": { "input": "counter", "output": "compteur", "possible_translations": [ "contre", "guichet", "compteur" ] }, "670": { "input": "breed", "output": "race", "possible_translations": [ "élever", "race", "se reproduire", "engendrer" ] }, "671": { "input": "association", "output": "association", "possible_translations": [ "association" ] }, "672": { "input": "cruiser", "output": "croiseur", "possible_translations": [ "croiseur" ] }, "673": { "input": "climate", "output": "climat", "possible_translations": [ "climat" ] }, "674": { "input": "corner", "output": "coin", "possible_translations": [ "négocier un prix de gros", "piéger", "rencogner", "coin", "manœuvrer", "tourner" ] }, "675": { "input": "classification", "output": "classification", "possible_translations": [ "classification" ] }, "676": { "input": "vehicle", "output": "véhicule", "possible_translations": [ "véhicule" ] }, "677": { "input": "reality", "output": "réalité", "possible_translations": [ "réalité" ] }, "678": { "input": "picture", "output": "cinéma", "possible_translations": [ "photo", "image", "cinéma" ] }, "679": { "input": "memory", "output": "mémoire", "possible_translations": [ "souvenir", "mémoire" ] }, "680": { "input": "segment", "output": "segment", "possible_translations": [ "segmenter", "segment" ] }, "681": { "input": "bar", "output": "barre", "possible_translations": [ "bar", "zinc", "barrer", "barre", "interdire", "comptoir", "mesure", "bloquer" ] }, "682": { "input": "touchdown", "output": "touchdown", "possible_translations": [ "touchdown", "touché" ] }, "683": { "input": "difficulty", "output": "difficulté", "possible_translations": [ "difficulté" ] }, "684": { "input": "flow", "output": "écoulement", "possible_translations": [ "écoulement", "couler", "flux" ] }, "685": { "input": "basketball", "output": "basket-ball", "possible_translations": [ "basket-ball", "basketball" ] }, "686": { "input": "cavalry", "output": "cavalerie", "possible_translations": [ "cavalerie" ] }, "687": { "input": "discovery", "output": "découverte", "possible_translations": [ "découverte" ] }, "688": { "input": "inspiration", "output": "inspiration", "possible_translations": [ "inspiration" ] }, "689": { "input": "anniversary", "output": "anniversaire", "possible_translations": [ "anniversaire de mariage", "anniversaire" ] }, "690": { "input": "funding", "output": "financement", "possible_translations": [ "financement" ] }, "691": { "input": "spoke", "output": "rayon", "possible_translations": [ "rayon" ] }, "692": { "input": "penalty", "output": "penalisation", "possible_translations": [ "penalisation", "peine" ] }, "693": { "input": "pitch", "output": "tangage", "possible_translations": [ "sève", "lancer", "donner la note", "tangage", "écartement", "poix", "hauteur", "résine", "laïus", "brai", "pente", "inclinaison", "pas", "terrain", "présentation", "angle", "promouvoir;", "jeter;", "argument", "monter;" ] }, "694": { "input": "batting", "output": "ouate", "possible_translations": [ "ouate" ] }, "695": { "input": "pattern", "output": "patron", "possible_translations": [ "patron", "modèle" ] }, "696": { "input": "heat", "output": "chaleur", "possible_translations": [ "rut", "flicaille", "excitation", "warm up", "réchauffer", "chauffer", "piquant", "chauffe", "échauffer", "artillerie", "exciter", "chaleur" ] }, "697": { "input": "commission", "output": "commission", "possible_translations": [ "commander", "missionner", "commission d'agent immobilier", "charger", "mettre en service", "courtage", "commission" ] }, "698": { "input": "strategy", "output": "stratégie", "possible_translations": [ "stratégie" ] }, "699": { "input": "documentary", "output": "documentaire", "possible_translations": [ "documentaire" ] }, "700": { "input": "cap", "output": "bonnet", "possible_translations": [ "bonnet", "casquette", "tuque" ] }, "701": { "input": "architecture", "output": "architecture", "possible_translations": [ "architecture" ] }, "702": { "input": "involvement", "output": "implication", "possible_translations": [ "implication" ] }, "703": { "input": "category", "output": "catégorie", "possible_translations": [ "catégorie" ] }, "704": { "input": "contest", "output": "concours", "possible_translations": [ "compétition", "concours" ] }, "705": { "input": "plane", "output": "avion", "possible_translations": [ "planer", "plan", "platane", "plat", "avion", "rabot" ] }, "706": { "input": "minister", "output": "pasteur", "possible_translations": [ "ministre", "pasteur" ] }, "707": { "input": "adaptation", "output": "adaptation", "possible_translations": [ "adaptation" ] }, "708": { "input": "champion", "output": "champion", "possible_translations": [ "championne", "championner", "champion" ] }, "709": { "input": "scheme", "output": "schéma", "possible_translations": [ "système", "combine", "plan", "schéma" ] }, "710": { "input": "library", "output": "bibliothèque", "possible_translations": [ "bibliothèque", "logithèque" ] }, "711": { "input": "sale", "output": "vente", "possible_translations": [ "vente", "soldes", "liquidation" ] }, "712": { "input": "fit", "output": "crise", "possible_translations": [ "être approprié", "adapter", "être adapté", "convenir", "crise", "aller", "ajuster" ] }, "713": { "input": "fighter", "output": "chasseur", "possible_translations": [ "chasseur" ] }, "714": { "input": "rival", "output": "rival", "possible_translations": [ "rivaliser", "rival" ] }, "715": { "input": "passenger", "output": "passager", "possible_translations": [ "passager" ] }, "716": { "input": "partner", "output": "partenaire", "possible_translations": [ "associé", "partenaire" ] }, "717": { "input": "reviewer", "output": "relecteur", "possible_translations": [ "réviseur", "relecteur" ] }, "718": { "input": "submarine", "output": "sous-marin", "possible_translations": [ "sous-marin" ] }, "719": { "input": "absence", "output": "absence", "possible_translations": [ "absence" ] }, "720": { "input": "door", "output": "porte", "possible_translations": [ "porte", "huis" ] }, "721": { "input": "engineer", "output": "ingénieur", "possible_translations": [ "ingénieur", "machiniste", "ingénieure", "mécanicien" ] }, "722": { "input": "airport", "output": "aéroport", "possible_translations": [ "aéroport" ] }, "723": { "input": "interior", "output": "intérieur", "possible_translations": [ "intérieur" ] }, "724": { "input": "behavior", "output": "comportement", "possible_translations": [ "comportement" ] }, "725": { "input": "respect", "output": "respect", "possible_translations": [ "respecter", "respect" ] }, "726": { "input": "conclusion", "output": "conclusion", "possible_translations": [ "fin", "conclusion" ] }, "727": { "input": "acid", "output": "acide", "possible_translations": [ "aigre", "acide" ] }, "728": { "input": "facility", "output": "facilité", "possible_translations": [ "centre", "facilité", "pôle", "infrastructure", "installation" ] }, "729": { "input": "retirement", "output": "retraite", "possible_translations": [ "retraite" ] }, "730": { "input": "colony", "output": "colonie", "possible_translations": [ "colonie" ] }, "731": { "input": "fashion", "output": "mode", "possible_translations": [ "façon", "mode", "façonner", "vogue" ] }, "732": { "input": "legislation", "output": "loi", "possible_translations": [ "loi", "législation" ] }, "733": { "input": "favor", "output": "faveur", "possible_translations": [ "favoriser", "faveur" ] }, "734": { "input": "kingdom", "output": "royaume", "possible_translations": [ "royaume", "règne" ] }, "735": { "input": "credit", "output": "crédit", "possible_translations": [ "reconnaissance", "crédit", "mérite" ] }, "736": { "input": "rescue", "output": "sauvetage", "possible_translations": [ "sauvetage", "délivrer", "secours", "secourir", "rescousse", "sauver" ] }, "737": { "input": "farm", "output": "ferme", "possible_translations": [ "ferme", "exploitation agricole", "domaine" ] }, "738": { "input": "crash", "output": "descente", "possible_translations": [ "s'écraser", "pieuter", "descente", "plantage", "planter", "krach" ] }, "739": { "input": "battleship", "output": "cuirassé", "possible_translations": [ "cuirassé", "bataille navale" ] }, "740": { "input": "habitat", "output": "habitat", "possible_translations": [ "habitat" ] }, "741": { "input": "hop", "output": "houblon", "possible_translations": [ "sauter à cloche-pied", "houblon" ] }, "742": { "input": "judge", "output": "juge", "possible_translations": [ "juger", "arbitre", "juge" ] }, "743": { "input": "chairman", "output": "secrétaire général", "possible_translations": [ "président", "secrétaire général" ] }, "744": { "input": "outbreak", "output": "irruption", "possible_translations": [ "irruption", "éruption" ] }, "745": { "input": "arrangement", "output": "arrangement", "possible_translations": [ "disposition", "arrangement", "préparatifs", "composition", "accord" ] }, "746": { "input": "sport", "output": "flirt", "possible_translations": [ "moquer", "sport", "flirt", "taquiner", "jouer" ] }, "747": { "input": "dog", "output": "chien", "possible_translations": [ "thon", "chien" ] }, "748": { "input": "step", "output": "pas", "possible_translations": [ "marche", "faire un pas", "pas", "marcher" ] }, "749": { "input": "fruit", "output": "fruit", "possible_translations": [ "pédé", "fruit", "folle" ] }, "750": { "input": "grade", "output": "mention", "possible_translations": [ "mention", "classe" ] }, "751": { "input": "emergency", "output": "urgences", "possible_translations": [ "urgence", "crise", "urgences" ] }, "752": { "input": "limit", "output": "limite", "possible_translations": [ "limite", "limiter" ] }, "753": { "input": "cancer", "output": "cancer", "possible_translations": [ "cancer" ] }, "754": { "input": "shark", "output": "requin", "possible_translations": [ "requin" ] }, "755": { "input": "festival", "output": "festival", "possible_translations": [ "festival" ] }, "756": { "input": "siege", "output": "siège", "possible_translations": [ "siège", "assiéger" ] }, "757": { "input": "successor", "output": "successeur", "possible_translations": [ "successeur" ] }, "758": { "input": "narrative", "output": "récit", "possible_translations": [ "narratif", "récit" ] }, "759": { "input": "cycle", "output": "cycle", "possible_translations": [ "cycle", "passer par un cycle", "tour", "faire du vélo" ] }, "760": { "input": "hill", "output": "colline", "possible_translations": [ "colline" ] }, "761": { "input": "belt", "output": "ceinture", "possible_translations": [ "courroie", "ceinture", "région" ] }, "762": { "input": "journalist", "output": "journaliste", "possible_translations": [ "journaliste" ] }, "763": { "input": "concern", "output": "importance", "possible_translations": [ "toucher", "concerner", "inquiétude", "préoccuper", "soin", "importance", "intérêt.", "interesser", "inquiéter", "souci." ] }, "764": { "input": "object", "output": "objet", "possible_translations": [ "objecter", "objet", "s'opposer" ] }, "765": { "input": "childhood", "output": "enfance", "possible_translations": [ "enfance" ] }, "766": { "input": "conduct", "output": "comportement", "possible_translations": [ "se comporter", "comportement", "conduire", "mener", "conduite" ] }, "767": { "input": "hunting", "output": "chasse", "possible_translations": [ "chasse", "vènerie" ] }, "768": { "input": "ride", "output": "bagnole", "possible_translations": [ "à", "monter en", "conduire", "monter", "bagnole", "rouler" ] }, "769": { "input": "talk", "output": "conversation", "possible_translations": [ "conversation", "parler", "bavarder", "conférence", "discussion", "discours" ] }, "770": { "input": "chapter", "output": "branche", "possible_translations": [ "section", "branche", "chapitre" ] }, "771": { "input": "footage", "output": "pellicule enregistrée", "possible_translations": [ "métrage cinématographique", "pellicule enregistrée", "métrage" ] }, "772": { "input": "exception", "output": "exception", "possible_translations": [ "exception" ] }, "773": { "input": "difference", "output": "différence", "possible_translations": [ "différend", "différence" ] }, "774": { "input": "arm", "output": "bras", "possible_translations": [ "arme", "armer", "arrière-bras", "bras" ] }, "775": { "input": "device", "output": "appareil", "possible_translations": [ "appareil", "ruse", "artifice", "stratagème", "manœuvre" ] }, "776": { "input": "animation", "output": "animation", "possible_translations": [ "animation" ] }, "777": { "input": "poet", "output": "poète", "possible_translations": [ "poète" ] }, "778": { "input": "brain", "output": "cerveau", "possible_translations": [ "encéphale", "cerveau", "cervelle" ] }, "779": { "input": "stock", "output": "jas", "possible_translations": [ "violier", "giroflée des jardins", "bétail", "jas", "pioche", "réserve", "stock", "action", "matthiole", "crosse" ] }, "780": { "input": "chain", "output": "chaîne", "possible_translations": [ "enchaîner", "chaîne", "chaîner" ] }, "781": { "input": "retreat", "output": "retraite", "possible_translations": [ "se retirer", "battre en retraite", "se replier", "retraite" ] }, "782": { "input": "poetry", "output": "poésie", "possible_translations": [ "poésie" ] }, "783": { "input": "format", "output": "format", "possible_translations": [ "format" ] }, "784": { "input": "universe", "output": "univers", "possible_translations": [ "Univers", "univers" ] }, "785": { "input": "shell", "output": "coquille", "possible_translations": [ "carapace", "coquille", "coquillage", "squelette", "interpréteur de commandes", "obus", "douille", "cosse", "couche", "coque", "décortiquer", "carcasse" ] }, "786": { "input": "union", "output": "union", "possible_translations": [ "réunion", "union" ] }, "787": { "input": "convoy", "output": "convoi", "possible_translations": [ "convoi" ] }, "788": { "input": "afternoon", "output": "après-midi", "possible_translations": [ "après-midi" ] }, "789": { "input": "belief", "output": "croyance", "possible_translations": [ "foi", "conviction", "croyance" ] }, "790": { "input": "valley", "output": "vallée", "possible_translations": [ "vallée" ] }, "791": { "input": "driver", "output": "conducteur", "possible_translations": [ "chauffeur", "pilote", "conducteur", "conductrice" ] }, "792": { "input": "suit", "output": "enseigne", "possible_translations": [ "couleur", "procès", "poursuite", "enseigne", "costume", "ensemble", "costard", "complet", "convenir", "suite", "combinaison", "tenue", "tailleur" ] }, "793": { "input": "diameter", "output": "diamètre", "possible_translations": [ "diamètre" ] }, "794": { "input": "convention", "output": "convention", "possible_translations": [ "convention" ] }, "795": { "input": "founder", "output": "fondateur", "possible_translations": [ "couler", "fondatrice", "sombrer", "fondeur", "fondateur" ] }, "796": { "input": "hero", "output": "héros", "possible_translations": [ "héros", "protagoniste" ] }, "797": { "input": "code", "output": "code", "possible_translations": [ "code", "programmer" ] }, "798": { "input": "crisis", "output": "crise", "possible_translations": [ "crise" ] }, "799": { "input": "engineering", "output": "ingénierie", "possible_translations": [ "ingénierie", "salle des machines" ] }, "800": { "input": "designer", "output": "designer", "possible_translations": [ "designer", "styliste" ] }, "801": { "input": "reform", "output": "réforme", "possible_translations": [ "réforme", "réformer" ] }, "802": { "input": "fear", "output": "crainte", "possible_translations": [ "crainte", "avoir peur", "peur", "craindre" ] }, "803": { "input": "technique", "output": "technique", "possible_translations": [ "technique" ] }, "804": { "input": "weekend", "output": "fin de semaine", "possible_translations": [ "fin de semaine", "weekend" ] }, "805": { "input": "mix", "output": "mélange", "possible_translations": [ "mélanger", "mélange", "mixer" ] }, "806": { "input": "tone", "output": "ton", "possible_translations": [ "ton" ] }, "807": { "input": "permission", "output": "permission", "possible_translations": [ "permission" ] }, "808": { "input": "advice", "output": "conseil", "possible_translations": [ "conseil" ] }, "809": { "input": "maintenance", "output": "entretien", "possible_translations": [ "entretien", "maintenance" ] }, "810": { "input": "weapon", "output": "arme", "possible_translations": [ "arme" ] }, "811": { "input": "factor", "output": "facteur", "possible_translations": [ "facteur" ] }, "812": { "input": "vice", "output": "vice", "possible_translations": [ "vice" ] }, "813": { "input": "address", "output": "discours", "possible_translations": [ "adresse", "habileté", "discours" ] }, "814": { "input": "verse", "output": "verset", "possible_translations": [ "verset", "vers", "couplet" ] }, "815": { "input": "bus", "output": "autobus", "possible_translations": [ "autobus", "bus" ] }, "816": { "input": "window", "output": "fenêtre", "possible_translations": [ "fenêtre" ] }, "817": { "input": "personality", "output": "personnalité", "possible_translations": [ "personnalité" ] }, "818": { "input": "squad", "output": "escouade", "possible_translations": [ "escouade" ] }, "819": { "input": "mainstream", "output": "courant principal", "possible_translations": [ "courant principal", "commercial" ] }, "820": { "input": "chemical", "output": "produit chimique", "possible_translations": [ "chimique", "produit chimique" ] }, "821": { "input": "spirit", "output": "esprit", "possible_translations": [ "élan", "spiritueux", "moral", "esprit" ] }, "822": { "input": "vision", "output": "vision", "possible_translations": [ "vision", "aspiration", "apparition", "vue" ] }, "823": { "input": "hockey", "output": "hockey sur gazon", "possible_translations": [ "hockey sur gazon", "hockey sur glace", "hockey" ] }, "824": { "input": "channel", "output": "chaîne", "possible_translations": [ "chaîne", "canaliser" ] }, "825": { "input": "carbon", "output": "carbone", "possible_translations": [ "charbon", "carbone" ] }, "826": { "input": "drawing", "output": "dessin", "possible_translations": [ "pige", "dessin" ] }, "827": { "input": "dynasty", "output": "dynastie", "possible_translations": [ "dynastie" ] }, "828": { "input": "approval", "output": "approbation", "possible_translations": [ "agrément", "approbation" ] }, "829": { "input": "housing", "output": "logement", "possible_translations": [ "logement", "résidence" ] }, "830": { "input": "card", "output": "carte", "possible_translations": [ "carde", "fiche", "carte", "carder" ] }, "831": { "input": "intention", "output": "intention", "possible_translations": [ "intention" ] }, "832": { "input": "creator", "output": "créateur", "possible_translations": [ "créatrice", "créateur" ] }, "833": { "input": "symbol", "output": "symbole", "possible_translations": [ "symbole" ] }, "834": { "input": "tribute", "output": "hommage", "possible_translations": [ "hommage", "tribut" ] }, "835": { "input": "collapse", "output": "effondrement", "possible_translations": [ "s'effondrer", "effondrement" ] }, "836": { "input": "protagonist", "output": "protagoniste", "possible_translations": [ "héroïne", "héros", "protagoniste" ] }, "837": { "input": "link", "output": "lien", "possible_translations": [ "contenir un lien", "hyperlien", "connexion", "lier", "pointer", "lien hypertexte", "maillon", "chaînon", "être lié", "torche", "relier", "rapport", "être hyperlié", "flambeau", "lien" ] }, "838": { "input": "folk", "output": "peuple", "possible_translations": [ "peuple" ] }, "839": { "input": "tie", "output": "liaison de prolongation", "possible_translations": [ "match nul", "lier", "remise", "liaison de prolongation", "égalité", "liaison de tenue" ] }, "840": { "input": "designation", "output": "appellation", "possible_translations": [ "appellation" ] }, "841": { "input": "load", "output": "charge", "possible_translations": [ "puissance", "charger", "paquet", "charge", "des tas" ] }, "842": { "input": "appointment", "output": "rendez-vous", "possible_translations": [ "rendez-vous", "nomination", "rencard" ] }, "843": { "input": "possession", "output": "possession", "possible_translations": [ "bien", "possession", "propriété" ] }, "844": { "input": "occupation", "output": "occupation", "possible_translations": [ "occupation" ] }, "845": { "input": "suicide", "output": "suicide", "possible_translations": [ "suicidée", "suicide", "suicidé" ] }, "846": { "input": "dispute", "output": "dispute", "possible_translations": [ "litige", "dispute" ] }, "847": { "input": "survey", "output": "enquête", "possible_translations": [ "inspecter", "arpentage", "enquête", "reconnaissance", "sondage" ] }, "848": { "input": "canal", "output": "canal", "possible_translations": [ "canal" ] }, "849": { "input": "benefit", "output": "avantage", "possible_translations": [ "bénéfice", "profiter", "avantage", "subvention" ] }, "850": { "input": "struggle", "output": "lutte", "possible_translations": [ "lutte", "lutter", "combattre", "s'efforcer" ] }, "851": { "input": "fishing", "output": "pêche", "possible_translations": [ "pêche" ] }, "852": { "input": "soil", "output": "terre", "possible_translations": [ "souillure", "terre", "territoire", "souiller", "salir", "sol" ] }, "853": { "input": "balance", "output": "balance", "possible_translations": [ "balance", "équilibre", "solde", "apurer" ] }, "854": { "input": "schedule", "output": "planning", "possible_translations": [ "ordonnancement", "prévoir", "planning", "horaire", "programmer", "ordonnancer", "emploi du temps", "planifier" ] }, "855": { "input": "column", "output": "colonne", "possible_translations": [ "colonne" ] }, "856": { "input": "teacher", "output": "professeur", "possible_translations": [ "professeur", "maître d'école" ] }, "857": { "input": "brand", "output": "marque", "possible_translations": [ "graver", "tison", "marquer", "flétrir", "cataloguer", "marque", "style" ] }, "858": { "input": "evolution", "output": "évolution", "possible_translations": [ "évolution" ] }, "859": { "input": "wedding", "output": "mariage", "possible_translations": [ "mariage", "noces" ] }, "860": { "input": "cent", "output": "centime", "possible_translations": [ "centime", "cent" ] }, "861": { "input": "earth", "output": "terre", "possible_translations": [ "terre", "terrier", "relier à la terre", "enterrer", "mettre à la terre" ] }, "862": { "input": "alignment", "output": "alliance", "possible_translations": [ "ajustage", "alliance", "conjonction", "itinéraire linéaire", "alignement" ] }, "863": { "input": "faith", "output": "foi", "possible_translations": [ "foi", "confiance" ] }, "864": { "input": "concrete", "output": "béton", "possible_translations": [ "de béton", "bétonner", "concret", "béton", "concréter", "concrétiser" ] }, "865": { "input": "shear", "output": "cisailles", "possible_translations": [ "tondaison", "cisailles", "cisaille", "cisailler", "couper", "tondeuse", "tonte", "cisaillement", "tondre" ] }, "866": { "input": "map", "output": "plan", "possible_translations": [ "plan", "carte" ] }, "867": { "input": "opponent", "output": "adversaire", "possible_translations": [ "adversaire" ] }, "868": { "input": "foundation", "output": "fondation", "possible_translations": [ "fond de teint", "fondation", "fondement" ] }, "869": { "input": "copy", "output": "copie", "possible_translations": [ "recevoir", "copier", "copie", "exemplaire", "imiter" ] }, "870": { "input": "percentage", "output": "pourcentage", "possible_translations": [ "pourcentage" ] }, "871": { "input": "argument", "output": "argument", "possible_translations": [ "argumentation", "argument", "querelle" ] }, "872": { "input": "closing", "output": "clôture", "possible_translations": [ "clôture" ] }, "873": { "input": "ammunition", "output": "balle", "possible_translations": [ "munitions", "balle" ] }, "874": { "input": "arrest", "output": "arrestation", "possible_translations": [ "arrestation", "arrêter" ] }, "875": { "input": "resolution", "output": "résolution", "possible_translations": [ "résolution", "détermination" ] }, "876": { "input": "disaster", "output": "désastre", "possible_translations": [ "désastre", "catastrophe" ] }, "877": { "input": "attendance", "output": "présence", "possible_translations": [ "présence" ] }, "878": { "input": "household", "output": "foyer", "possible_translations": [ "ménage", "domestique", "foyer" ] }, "879": { "input": "restaurant", "output": "restaurant", "possible_translations": [ "restaurant" ] }, "880": { "input": "honour", "output": "honneur", "possible_translations": [ "honneur" ] }, "881": { "input": "junction", "output": "jonction", "possible_translations": [ "jonction" ] }, "882": { "input": "funeral", "output": "funérailles", "possible_translations": [ "funérailles", "obsèques", "funéraire" ] }, "883": { "input": "affair", "output": "aventure", "possible_translations": [ "liaison", "aventure" ] }, "884": { "input": "compilation", "output": "compilation", "possible_translations": [ "compilation" ] }, "885": { "input": "exit", "output": "sortie", "possible_translations": [ "sortie", "issue", "sortir" ] }, "886": { "input": "statue", "output": "statue", "possible_translations": [ "statue" ] }, "887": { "input": "explosion", "output": "explosion", "possible_translations": [ "explosion" ] }, "888": { "input": "professor", "output": "professeur", "possible_translations": [ "professeur", "professeure", "prof" ] }, "889": { "input": "oxygen", "output": "oxygène", "possible_translations": [ "oxygène" ] }, "890": { "input": "collaboration", "output": "collaboration", "possible_translations": [ "collaboration" ] }, "891": { "input": "sector", "output": "secteur", "possible_translations": [ "secteur" ] }, "892": { "input": "tunnel", "output": "tunnel", "possible_translations": [ "tunnel" ] }, "893": { "input": "pain", "output": "douleur", "possible_translations": [ "casse-couilles", "douleur", "casse-pied", "peine" ] }, "894": { "input": "entertainment", "output": "divertissement", "possible_translations": [ "divertissement" ] }, "895": { "input": "residence", "output": "résidence", "possible_translations": [ "siège social", "résidence" ] }, "896": { "input": "preparation", "output": "préparation", "possible_translations": [ "préparation" ] }, "897": { "input": "alliance", "output": "alliance", "possible_translations": [ "alliance" ] }, "898": { "input": "orbit", "output": "orbite", "possible_translations": [ "orbite", "orbiter autour de", "mettre en orbite" ] }, "899": { "input": "restoration", "output": "restauration", "possible_translations": [ "restauration" ] }, "900": { "input": "detail", "output": "détail", "possible_translations": [ "détachement", "détailler", "coordonnées", "détails", "détail" ] }, "901": { "input": "coverage", "output": "couverture", "possible_translations": [ "reportage", "couverture" ] }, "902": { "input": "wear", "output": "usure", "possible_translations": [ "usure", "porter", "user" ] }, "903": { "input": "partnership", "output": "partenariat", "possible_translations": [ "partenariat" ] }, "904": { "input": "horror", "output": "horreur", "possible_translations": [ "aversion", "effroi", "horreur", "dégoût" ] }, "905": { "input": "option", "output": "choix", "possible_translations": [ "choix", "possibilité" ] }, "906": { "input": "racing", "output": "course", "possible_translations": [ "course" ] }, "907": { "input": "communication", "output": "communication", "possible_translations": [ "communication" ] }, "908": { "input": "neck", "output": "cou", "possible_translations": [ "col", "tordre le cou", "nuque", "manche", "cou", "goulot" ] }, "909": { "input": "engagement", "output": "fiançailles", "possible_translations": [ "fiançailles" ] }, "910": { "input": "walk", "output": "but-sur-balles", "possible_translations": [ "parcourir", "battre", "ficher le camp", "se barrer", "se casser", "balade", "faire à pied", "raccompagner", "se tirer", "marcher", "démarche", "allée", "marche", "promenade", "accompagner", "promener", "s'envoler", "se promener", "but-sur-balles" ] }, "911": { "input": "repair", "output": "réparation", "possible_translations": [ "réparer", "réparation" ] }, "912": { "input": "ownership", "output": "possession", "possible_translations": [ "possession", "propriété" ] }, "913": { "input": "perspective", "output": "perspective", "possible_translations": [ "perspective", "perspectif" ] }, "914": { "input": "cargo", "output": "cargaison", "possible_translations": [ "cargaison" ] }, "915": { "input": "bear", "output": "ours", "possible_translations": [ "porter", "baissier", "tolérer", "supporter", "ours", "accoucher", "ourse" ] }, "916": { "input": "solution", "output": "solution", "possible_translations": [ "solution" ] }, "917": { "input": "patrol", "output": "patrouille", "possible_translations": [ "patrouille" ] }, "918": { "input": "boundary", "output": "frontière", "possible_translations": [ "limite", "frontière" ] }, "919": { "input": "occasion", "output": "occasion", "possible_translations": [ "occasion" ] }, "920": { "input": "militia", "output": "milice", "possible_translations": [ "milice" ] }, "921": { "input": "armament", "output": "armement", "possible_translations": [ "force de frappe", "armement" ] }, "922": { "input": "bowling", "output": "bowling", "possible_translations": [ "bowling" ] }, "923": { "input": "crown", "output": "couronne", "possible_translations": [ "", "milieu", "clef", "couronner", "fond", "faîte", "houppier", "houpier", "sommet", "de la couronne", "couronnement", "couronne", "lauriers", "cime" ] }, "924": { "input": "comparison", "output": "comparaison", "possible_translations": [ "comparaison", "degrés de comparaison" ] }, "925": { "input": "flagship", "output": "navire amiral", "possible_translations": [ "navire amiral" ] }, "926": { "input": "jazz", "output": "jazz", "possible_translations": [ "jazz" ] }, "927": { "input": "circuit", "output": "circuit", "possible_translations": [ "circuit" ] }, "928": { "input": "bed", "output": "lit", "possible_translations": [ "lit" ] }, "929": { "input": "application", "output": "application", "possible_translations": [ "candidature", "programme", "demande", "application" ] }, "930": { "input": "pace", "output": "pas", "possible_translations": [ "arpenter", "train", "pas", "rythme", "tempo" ] }, "931": { "input": "satellite", "output": "satellite", "possible_translations": [ "satellite" ] }, "932": { "input": "truth", "output": "vérité", "possible_translations": [ "vérité", "verdad" ] }, "933": { "input": "palace", "output": "palais", "possible_translations": [ "palais" ] }, "934": { "input": "storage", "output": "stockage", "possible_translations": [ "stockage" ] }, "935": { "input": "frame", "output": "image", "possible_translations": [ "image", "encadrer", "trame", "armature", "ossature", "manche", "frame", "cadre" ] }, "936": { "input": "flank", "output": "flanc", "possible_translations": [ "flanchet", "flanc" ] }, "937": { "input": "exhibition", "output": "exposition", "possible_translations": [ "exposition" ] }, "938": { "input": "monument", "output": "monument", "possible_translations": [ "monument", "mémorial" ] }, "939": { "input": "predecessor", "output": "précédent", "possible_translations": [ "précédent", "prédécesseur" ] }, "940": { "input": "surgery", "output": "chirurgie", "possible_translations": [ "chirurgie", "salle opératoire", "opération" ] }, "941": { "input": "poll", "output": "sondage", "possible_translations": [ "sondage" ] }, "942": { "input": "philosophy", "output": "philosophie", "possible_translations": [ "philosophie" ] }, "943": { "input": "adventure", "output": "aventure", "possible_translations": [ "aventure" ] }, "944": { "input": "apartment", "output": "appartements", "possible_translations": [ "appartements", "appartement" ] }, "945": { "input": "kick", "output": "coup de pied", "possible_translations": [ "coup de pied", "faire + verb phrase + en lui donnant un coup de pied", "kicker", "botter", "donner un coup de pied à" ] }, "946": { "input": "dollar", "output": "dollar", "possible_translations": [ "dollar" ] }, "947": { "input": "protest", "output": "manifestation", "possible_translations": [ "protester", "protestation", "manifestation" ] }, "948": { "input": "layer", "output": "couche", "possible_translations": [ "pondeuse", "couche", "marcotte" ] }, "949": { "input": "catch", "output": "hic", "possible_translations": [ "prise", "attraper", "touche", "conquête", "hic" ] }, "950": { "input": "gap", "output": "brèche", "possible_translations": [ "col", "brèche", "solution de continuité", "trouer", "trouée", "écart", "entailler" ] }, "951": { "input": "phone", "output": "téléphone", "possible_translations": [ "appeler", "phone", "téléphoner", "téléphone" ] }, "952": { "input": "context", "output": "contexte", "possible_translations": [ "contexte" ] }, "953": { "input": "casting", "output": "moulage", "possible_translations": [ "moulage", "audition" ] }, "954": { "input": "protein", "output": "protéine", "possible_translations": [ "protéine" ] }, "955": { "input": "reconnaissance", "output": "reconnaissance", "possible_translations": [ "reconnaissance" ] }, "956": { "input": "spin", "output": "vrille", "possible_translations": [ "pivoter rapidement.", "filer", "vrille", "effet", "spin", "brossage", "tournoyer" ] }, "957": { "input": "legacy", "output": "héritage", "possible_translations": [ "système hérité", "leg", "héritage" ] }, "958": { "input": "drum", "output": "tambour", "possible_translations": [ "tonneau", "tambour", "bidon", "cylindre", "batterie", "baril" ] }, "959": { "input": "typhoon", "output": "typhon", "possible_translations": [ "typhon", "ouragan" ] }, "960": { "input": "justice", "output": "justice", "possible_translations": [ "conseiller", "justice" ] }, "961": { "input": "illness", "output": "maladie", "possible_translations": [ "maladie" ] }, "962": { "input": "merchant", "output": "marchand", "possible_translations": [ "marchand" ] }, "963": { "input": "revenue", "output": "revenu", "possible_translations": [ "revenu" ] }, "964": { "input": "bombing", "output": "bombardement", "possible_translations": [ "bombardement" ] }, "965": { "input": "fund", "output": "fonds", "possible_translations": [ "fonds", "financer" ] }, "966": { "input": "console", "output": "console", "possible_translations": [ "console", "console de jeu", "consoler" ] }, "967": { "input": "bow", "output": "arc", "possible_translations": [ "s'incliner", "faire une révérence", "proue", "étrave", "archet", "révérence", "courber", "arc", "fléchir" ] }, "968": { "input": "definition", "output": "définition", "possible_translations": [ "définition", "definition" ] }, "969": { "input": "meat", "output": "viande", "possible_translations": [ "viande" ] }, "970": { "input": "guitarist", "output": "guitariste", "possible_translations": [ "guitariste" ] }, "971": { "input": "marketing", "output": "mercatique", "possible_translations": [ "marketing", "mercatique" ] }, "972": { "input": "ruling", "output": "décision", "possible_translations": [ "arrêt", "au pouvoir", "régnant", "décision" ] }, "973": { "input": "factory", "output": "usine", "possible_translations": [ "fabrique", "usine", "manufacture" ] }, "974": { "input": "profile", "output": "profil", "possible_translations": [ "profil", "contour", "réputation" ] }, "975": { "input": "print", "output": "empreinte", "possible_translations": [ "imprimer", "empreinte" ] }, "976": { "input": "mining", "output": "extraction minière", "possible_translations": [ "extraction minière" ] }, "977": { "input": "bonus", "output": "boni", "possible_translations": [ "boni" ] }, "978": { "input": "theater", "output": "théâtre", "possible_translations": [ "théâtre" ] }, "979": { "input": "signal", "output": "signal", "possible_translations": [ "signal", "signaler" ] }, "980": { "input": "clothing", "output": "vêtements", "possible_translations": [ "vêtements", "habits" ] }, "981": { "input": "coin", "output": "jeton", "possible_translations": [ "frapper une monnaie", "inventer", "forger", "pièce", "monnaie", "jeton" ] }, "982": { "input": "pit", "output": "noyau", "possible_translations": [ "fosse", "dénoyauter", "pépin", "noyau", "épépiner" ] }, "983": { "input": "strip", "output": "bande", "possible_translations": [ "faire un striptease", "strip", "se déshabiller", "bande", "enlever" ] }, "984": { "input": "flood", "output": "inondation", "possible_translations": [ "inondation", "inonder", "noyer", "submerger" ] }, "985": { "input": "dress", "output": "tenue", "possible_translations": [ "s'habiller", "panser", "tenue", "robe", "habiller" ] }, "986": { "input": "triple", "output": "triple", "possible_translations": [ "triple", "tripler", "pour trois" ] }, "987": { "input": "punk", "output": "punk", "possible_translations": [ "punk", "petit con", "vaurien", "morpion", "racaille" ] }, "988": { "input": "organ", "output": "orgue", "possible_translations": [ "organe", "orgue" ] }, "989": { "input": "architect", "output": "architecte", "possible_translations": [ "architecturer", "architecte" ] }, "990": { "input": "legislature", "output": "corps législatif", "possible_translations": [ "corps législatif" ] }, "991": { "input": "musician", "output": "musicien", "possible_translations": [ "musicienne", "musicien" ] }, "992": { "input": "diet", "output": "régime", "possible_translations": [ "régime" ] }, "993": { "input": "concentration", "output": "concentration", "possible_translations": [ "concentration" ] }, "994": { "input": "aftermath", "output": "regain", "possible_translations": [ "regain", "séquelles" ] }, "995": { "input": "baby", "output": "bébé", "possible_translations": [ "pour bébé", "benjamin", "chou", "petit", "mon beau", "ma belle", "benjamine", "bébé" ] }, "996": { "input": "danger", "output": "danger", "possible_translations": [ "danger" ] }, "997": { "input": "wrestling", "output": "lutte", "possible_translations": [ "lutte", "catch" ] }, "998": { "input": "string", "output": "corde", "possible_translations": [ "marijuana", "cordes", "suite", "cannabis", "corde", "enfiler", "chaîne de caractères", "série" ] }, "999": { "input": "meter", "output": "mètre", "possible_translations": [ "compteur", "mètre" ] }, "1000": { "input": "sub", "output": "sandwich sous-marin", "possible_translations": [ "sandwich sous-marin" ] }, "1001": { "input": "removal", "output": "enlèvement", "possible_translations": [ "enlèvement", "déménagement" ] }, "1002": { "input": "interpretation", "output": "interprétation", "possible_translations": [ "interprétation" ] }, "1003": { "input": "venue", "output": "lieu", "possible_translations": [ "salle", "lieu" ] }, "1004": { "input": "cult", "output": "culte", "possible_translations": [ "secte", "culte" ] }, "1005": { "input": "encounter", "output": "rencontre", "possible_translations": [ "rencontrer", "rencontre" ] }, "1006": { "input": "remix", "output": "remix", "possible_translations": [ "remix" ] }, "1007": { "input": "rebellion", "output": "rébellion", "possible_translations": [ "rébellion" ] }, "1008": { "input": "panel", "output": "panneau", "possible_translations": [ "table ronde", "", "case", "panneau", "vignette" ] }, "1009": { "input": "announcement", "output": "annonce", "possible_translations": [ "annonce" ] }, "1010": { "input": "soldier", "output": "soldat", "possible_translations": [ "soldat", "mouillette" ] }, "1011": { "input": "fantasy", "output": "fantasme", "possible_translations": [ "fantasme", "fantaisie", "fantasy" ] }, "1012": { "input": "discussion", "output": "discussion", "possible_translations": [ "discussion" ] }, "1013": { "input": "behaviour", "output": "comportement", "possible_translations": [ "comportement", "conduite" ] }, "1014": { "input": "loan", "output": "emprunt", "possible_translations": [ "prêt", "prêter", "emprunt" ] }, "1015": { "input": "roll", "output": "rouleau", "possible_translations": [ "rouleau", "roulement", "roue", "rouler", "roulis", "faire rouler", "petit pain" ] }, "1016": { "input": "aspect", "output": "aspect", "possible_translations": [ "aspect" ] }, "1017": { "input": "talent", "output": "talent", "possible_translations": [ "talent" ] }, "1018": { "input": "landscape", "output": "paysage", "possible_translations": [ "paysage" ] }, "1019": { "input": "withdrawal", "output": "retrait", "possible_translations": [ "retrait", "coït interrompu", "manque", "sevrage" ] }, "1020": { "input": "angle", "output": "angle", "possible_translations": [ "point de vue", "angle" ] }, "1021": { "input": "margin", "output": "marge", "possible_translations": [ "marge" ] }, "1022": { "input": "circle", "output": "disque", "possible_translations": [ "encercler", "disque", "entourer", "cercler", "cercle" ] }, "1023": { "input": "trouble", "output": "peine", "possible_translations": [ "troubler", "peine", "souci", "déranger" ] }, "1024": { "input": "exposure", "output": "exposition", "possible_translations": [ "exposition" ] }, "1025": { "input": "specimen", "output": "exemple", "possible_translations": [ "exemple", "spécimen" ] }, "1026": { "input": "density", "output": "densité", "possible_translations": [ "densité" ] }, "1027": { "input": "pool", "output": "piscine", "possible_translations": [ "piscine" ] }, "1028": { "input": "constitution", "output": "constitution", "possible_translations": [ "constitution" ] }, "1029": { "input": "beam", "output": "age", "possible_translations": [ "age", "timon", "faisceau", "poutre", "lien", "limon", "ligature", "madrier" ] }, "1030": { "input": "shift", "output": "décalage", "possible_translations": [ "roulement", "décalage", "touche majuscule" ] }, "1031": { "input": "duo", "output": "duo", "possible_translations": [ "duo" ] }, "1032": { "input": "membership", "output": "adhésion", "possible_translations": [ "appartenance", "adhésion" ] }, "1033": { "input": "loop", "output": "boucle", "possible_translations": [ "boucler", "boucle" ] }, "1034": { "input": "plate", "output": "planche", "possible_translations": [ "armure de plates", "plaque", "assiette", "plaque d'immatriculation", "dentier", "plaquer", "plat", "planche", "plaque minéralogique" ] }, "1035": { "input": "magic", "output": "magie", "possible_translations": [ "magique", "magie", "sorcelerie", "ensorcelé" ] }, "1036": { "input": "expression", "output": "expression", "possible_translations": [ "expression" ] }, "1037": { "input": "skull", "output": "crâne", "possible_translations": [ "crâne" ] }, "1038": { "input": "emphasis", "output": "accent", "possible_translations": [ "graisse", "accent", "emphase" ] }, "1039": { "input": "alcohol", "output": "alcool", "possible_translations": [ "alcool" ] }, "1040": { "input": "exercise", "output": "exercice", "possible_translations": [ "exercer", "exercice" ] }, "1041": { "input": "basin", "output": "bassin", "possible_translations": [ "bassin", "lavabo", "cuvette", "bassine" ] }, "1042": { "input": "prize", "output": "prix", "possible_translations": [ "estimer", "prix" ] }, "1043": { "input": "sole", "output": "semelle", "possible_translations": [ "célibataire", "semeler", "semelle", "sole", "seul", "unique", "plante", "plante du pied" ] }, "1044": { "input": "bid", "output": "enchère", "possible_translations": [ "enchère", "faire une enchère", "soumissionner" ] }, "1045": { "input": "advertising", "output": "publicité", "possible_translations": [ "publicité" ] }, "1046": { "input": "regime", "output": "régime", "possible_translations": [ "régime" ] }, "1047": { "input": "birthday", "output": "anniversaire", "possible_translations": [ "date de naissance", "anniversaire", "fête" ] }, "1048": { "input": "delay", "output": "délai", "possible_translations": [ "retarder", "retard", "délai" ] }, "1049": { "input": "employment", "output": "emploi", "possible_translations": [ "travail", "emploi" ] }, "1050": { "input": "attitude", "output": "posture", "possible_translations": [ "état d'esprit", "posture" ] }, "1051": { "input": "hydrogen", "output": "hydrogène", "possible_translations": [ "hydrogène" ] }, "1052": { "input": "software", "output": "logiciel", "possible_translations": [ "logiciel" ] }, "1053": { "input": "translation", "output": "traduction", "possible_translations": [ "transmission", "translation", "traduction" ] }, "1054": { "input": "cousin", "output": "cousin", "possible_translations": [ "cousine", "cousin" ] }, "1055": { "input": "swimming", "output": "natation", "possible_translations": [ "natation" ] }, "1056": { "input": "lawyer", "output": "juriste", "possible_translations": [ "avocate", "juriste", "informally also avocat", "homme de loi" ] }, "1057": { "input": "execution", "output": "exécution", "possible_translations": [ "exécution" ] }, "1058": { "input": "terrain", "output": "terrain", "possible_translations": [ "terrain" ] }, "1059": { "input": "electricity", "output": "électricité", "possible_translations": [ "électricité" ] }, "1060": { "input": "duration", "output": "durée", "possible_translations": [ "durée" ] }, "1061": { "input": "tenure", "output": "tenure", "possible_translations": [ "tenure" ] }, "1062": { "input": "dream", "output": "rêve", "possible_translations": [ "souhait", "voeu", "souhaiter", "songe", "rêve", "rêver" ] }, "1063": { "input": "succession", "output": "succession", "possible_translations": [ "succession" ] }, "1064": { "input": "bone", "output": "os", "possible_translations": [ "os", "fourrer", "arête", "baleine", "emmancher", "désosser" ] }, "1065": { "input": "rhythm", "output": "rythme", "possible_translations": [ "rythme" ] }, "1066": { "input": "shop", "output": "boutique", "possible_translations": [ "faire du shopping", "atelier", "magasin", "faire des courses", "boutique", "faire les magasins", "faire des achats" ] }, "1067": { "input": "publisher", "output": "éditeur", "possible_translations": [ "maison d'édition", "éditeur" ] }, "1068": { "input": "component", "output": "composant", "possible_translations": [ "composant" ] }, "1069": { "input": "parliament", "output": "parlement", "possible_translations": [ "parlement" ] }, "1070": { "input": "sun", "output": "soleil", "possible_translations": [ "soleil", "Soleil" ] }, "1071": { "input": "precipitation", "output": "précipitation", "possible_translations": [ "précipitation" ] }, "1072": { "input": "slavery", "output": "esclavage", "possible_translations": [ "esclavage" ] }, "1073": { "input": "tube", "output": "boîte", "possible_translations": [ "boîte", "tuyau" ] }, "1074": { "input": "radiation", "output": "radiation", "possible_translations": [ "radiation" ] }, "1075": { "input": "virus", "output": "virus informatique", "possible_translations": [ "virus", "virus informatique" ] }, "1076": { "input": "contribution", "output": "contribution", "possible_translations": [ "contribution", "contribution financière" ] }, "1077": { "input": "earthquake", "output": "tremblement de terre", "possible_translations": [ "tremblement de terre", "séisme" ] }, "1078": { "input": "scholar", "output": "savant", "possible_translations": [ "érudit", "savant" ] }, "1079": { "input": "songwriter", "output": "auteur-compositeur", "possible_translations": [ "auteur-compositeur" ] }, "1080": { "input": "debt", "output": "dette", "possible_translations": [ "dette" ] }, "1081": { "input": "ticket", "output": "billet", "possible_translations": [ "ticket", "billet", "contravention", "prune", "amende" ] }, "1082": { "input": "frequency", "output": "fréquence", "possible_translations": [ "fréquence" ] }, "1083": { "input": "coat", "output": "couche", "possible_translations": [ "couche", "paletot", "couvrir", "manteau" ] }, "1084": { "input": "destroyer", "output": "destructeur", "possible_translations": [ "destructeur", "contre-torpilleur", "destroyer" ] }, "1085": { "input": "improvement", "output": "amélioration", "possible_translations": [ "amélioration" ] }, "1086": { "input": "doctor", "output": "médecin", "possible_translations": [ "médecin", "docteur" ] }, "1087": { "input": "profit", "output": "profit", "possible_translations": [ "profiter", "gain", "profit", "bénéfice" ] }, "1088": { "input": "trust", "output": "confiance", "possible_translations": [ "confiance", "avoir foi en quelqu'un", "faire confiance" ] }, "1089": { "input": "ballad", "output": "ballade", "possible_translations": [ "ballade" ] }, "1090": { "input": "bay", "output": "laurier", "possible_translations": [ "compartiment", "laurier", "bai", "baie", "aboyer" ] }, "1091": { "input": "investment", "output": "investissement", "possible_translations": [ "investissement" ] }, "1092": { "input": "cannon", "output": "canon", "possible_translations": [ "canon" ] }, "1093": { "input": "voting", "output": "votation", "possible_translations": [ "votation" ] }, "1094": { "input": "trough", "output": "gouttière", "possible_translations": [ "gouttière", "abreuvoir", "auge", "thalweg", "creux" ] }, "1095": { "input": "photography", "output": "photographie", "possible_translations": [ "photographie" ] }, "1096": { "input": "parody", "output": "parodie", "possible_translations": [ "parodie", "parodier" ] }, "1097": { "input": "phrase", "output": "expression", "possible_translations": [ "exprimer", "expression", "phraser", "syntagme", "phrase", "locution" ] }, "1098": { "input": "trail", "output": "piste", "possible_translations": [ "pister", "traîner", "piste", "suivre", "sentier", "traces" ] }, "1099": { "input": "reduction", "output": "réduction", "possible_translations": [ "réduction" ] }, "1100": { "input": "ruler", "output": "dirigeant", "possible_translations": [ "dirigeant", "règle", "chef" ] }, "1101": { "input": "confidence", "output": "confidence", "possible_translations": [ "assurance", "confidence", "confiance en soi", "confiance" ] }, "1102": { "input": "shoulder", "output": "épaule", "possible_translations": [ "bande d'arrêt d'urgence", "accotement stabilisé", "épaule" ] }, "1103": { "input": "survival", "output": "survie", "possible_translations": [ "survie" ] }, "1104": { "input": "signature", "output": "signature", "possible_translations": [ "signature" ] }, "1105": { "input": "communist", "output": "communiste", "possible_translations": [ "communiste" ] }, "1106": { "input": "uranium", "output": "uranium", "possible_translations": [ "uranium" ] }, "1107": { "input": "melody", "output": "mélodie", "possible_translations": [ "mélodie" ] }, "1108": { "input": "copper", "output": "cuivré", "possible_translations": [ "cuivre", "cuivré", "keuf poulet poulaga", "flic" ] }, "1109": { "input": "wish", "output": "souhait", "possible_translations": [ "souhait", "espérer", "souhaiter" ] }, "1110": { "input": "minority", "output": "minorité", "possible_translations": [ "minoritaire", "minorité" ] }, "1111": { "input": "document", "output": "document", "possible_translations": [ "documenter", "écrit", "document" ] }, "1112": { "input": "instrument", "output": "acte", "possible_translations": [ "instrument", "acte" ] }, "1113": { "input": "tip", "output": "décharge", "possible_translations": [ "pourliche", "décharge", "tuyau", "astuce", "bout", "bonne-main", "pourboire", "extrémité", "conseil", "pointe" ] }, "1114": { "input": "escort", "output": "escorte", "possible_translations": [ "escorte", "escorter" ] }, "1115": { "input": "programming", "output": "programmation", "possible_translations": [ "programmation" ] }, "1116": { "input": "conservation", "output": "défense", "possible_translations": [ "préservation", "défense" ] }, "1117": { "input": "sky", "output": "ciel", "possible_translations": [ "ciel" ] }, "1118": { "input": "representation", "output": "représentation", "possible_translations": [ "représentation" ] }, "1119": { "input": "magnitude", "output": "magnitude", "possible_translations": [ "magnitude", "grandeur", "ampleur" ] }, "1120": { "input": "hole", "output": "trou", "possible_translations": [ "trouer", "trou", "mitard", "faille", "creux" ] }, "1121": { "input": "prisoner", "output": "prisonnier", "possible_translations": [ "prisonnier" ] }, "1122": { "input": "autumn", "output": "automne", "possible_translations": [ "automne" ] }, "1123": { "input": "stream", "output": "flot", "possible_translations": [ "flot", "cours d'eau", "courant", "groupe de niveau", "ruisseau", "torrent" ] }, "1124": { "input": "abuse", "output": "abus", "possible_translations": [ "viol", "abuser", "abus" ] }, "1125": { "input": "chair", "output": "chaise", "possible_translations": [ "fauteuil", "chaise", "présider" ] }, "1126": { "input": "sample", "output": "échantillon", "possible_translations": [ "échantillon", "goûter", "échantillonner", "exemple", "extrait" ] }, "1127": { "input": "warfare", "output": "guerre", "possible_translations": [ "combat", "guerre" ] }, "1128": { "input": "rivalry", "output": "rivalité", "possible_translations": [ "rivalité" ] }, "1129": { "input": "biographer", "output": "biographe", "possible_translations": [ "biographe" ] }, "1130": { "input": "waste", "output": "dégradation", "possible_translations": [ "dévaster", "gâcher", "dégénération", "déchets", "fèces", "tuer", "gaspiller", "dépérir", "dégradation", "ordures", "détruire", "merde", "gaspillage" ] }, "1131": { "input": "experiment", "output": "expérience", "possible_translations": [ "expérimenter", "expérience" ] }, "1132": { "input": "guide", "output": "guide", "possible_translations": [ "guider", "guide" ] }, "1133": { "input": "medicine", "output": "médecine", "possible_translations": [ "médicaments", "remède", "médecine", "traitement", "médicament" ] }, "1134": { "input": "participation", "output": "participation", "possible_translations": [ "participation" ] }, "1135": { "input": "slave", "output": "esclave", "possible_translations": [ "esclave", "serf", "serve" ] }, "1136": { "input": "transportation", "output": "transport", "possible_translations": [ "transport", "transportation" ] }, "1137": { "input": "liquid", "output": "liquide", "possible_translations": [ "liquide" ] }, "1138": { "input": "institution", "output": "institution", "possible_translations": [ "institution" ] }, "1139": { "input": "parent", "output": "parent", "possible_translations": [ "parent" ] }, "1140": { "input": "salary", "output": "salaire", "possible_translations": [ "salaire" ] }, "1141": { "input": "recovery", "output": "récupération", "possible_translations": [ "rétablissement", "recouvrement", "récupération", "guérison" ] }, "1142": { "input": "count", "output": "compte", "possible_translations": [ "nombre", "comte", "compte", "compte à rebours", "chef d'accusation", "compter", "décompte" ] }, "1143": { "input": "doubt", "output": "doute", "possible_translations": [ "doute", "douter" ] }, "1144": { "input": "revolution", "output": "révolution", "possible_translations": [ "révolution", "tour", "coup d'état" ] }, "1145": { "input": "cinema", "output": "cinéma", "possible_translations": [ "film", "cinéma" ] }, "1146": { "input": "cloud", "output": "nuage", "possible_translations": [ "s'obscurcir", "nuage" ] }, "1147": { "input": "drummer", "output": "batteur", "possible_translations": [ "batteur" ] }, "1148": { "input": "cabinet", "output": "cabinet", "possible_translations": [ "armoire", "cabinet" ] }, "1149": { "input": "significance", "output": "importance signification", "possible_translations": [ "signification", "importance signification" ] }, "1150": { "input": "neighborhood", "output": "voisinage", "possible_translations": [ "quartier", "voisinage", "environs" ] }, "1151": { "input": "compound", "output": "complexe", "possible_translations": [ "composé", "composé chimique", "complexe", "composer" ] }, "1152": { "input": "legend", "output": "légende", "possible_translations": [ "légende" ] }, "1153": { "input": "jump", "output": "saut", "possible_translations": [ "sursauter", "doubler", "saut", "sauter" ] }, "1154": { "input": "inclusion", "output": "inclusion", "possible_translations": [ "inclusion" ] }, "1155": { "input": "tale", "output": "conte", "possible_translations": [ "conte" ] }, "1156": { "input": "wealth", "output": "richesse", "possible_translations": [ "abondance", "richesse", "profusion" ] }, "1157": { "input": "mate", "output": "copain", "possible_translations": [ "s'assembler", "camarade", "s'accoupler", "pote", "copain" ] }, "1158": { "input": "ratio", "output": "rapport", "possible_translations": [ "ratio", "rapport" ] }, "1159": { "input": "journal", "output": "revue", "possible_translations": [ "revue" ] }, "1160": { "input": "grandfather", "output": "grand-père", "possible_translations": [ "aïeul", "grand-père" ] }, "1161": { "input": "throw", "output": "jet", "possible_translations": [ "déplacer", "lancer", "lancement", "jeter", "bouger", "jet" ] }, "1162": { "input": "summit", "output": "sommet", "possible_translations": [ "sommet" ] }, "1163": { "input": "descent", "output": "origine", "possible_translations": [ "origine", "descendance" ] }, "1164": { "input": "gender", "output": "genre", "possible_translations": [ "sexe", "genre" ] }, "1165": { "input": "sentence", "output": "phrase", "possible_translations": [ "jugement", "condamner", "punir", "phrase", "peine" ] }, "1166": { "input": "beauty", "output": "beauté", "possible_translations": [ "beauté" ] }, "1167": { "input": "beating", "output": "battage", "possible_translations": [ "battage", "battement" ] }, "1168": { "input": "heritage", "output": "héritage", "possible_translations": [ "héritage" ] }, "1169": { "input": "altitude", "output": "altitude", "possible_translations": [ "altitude", "hauteur" ] }, "1170": { "input": "trend", "output": "tendance", "possible_translations": [ "tendre vers", "tendance", "penchant" ] }, "1171": { "input": "presentation", "output": "exposé", "possible_translations": [ "exposé", "présentation" ] }, "1172": { "input": "agriculture", "output": "agriculture", "possible_translations": [ "agriculture" ] }, "1173": { "input": "resident", "output": "résident", "possible_translations": [ "habitante", "habitant", "résident", "résidente" ] }, "1174": { "input": "sailing", "output": "navigation la voile", "possible_translations": [ "navigation la voile" ] }, "1175": { "input": "intervention", "output": "intervention", "possible_translations": [ "intervention" ] }, "1176": { "input": "fame", "output": "gloire", "possible_translations": [ "gloire" ] }, "1177": { "input": "tribe", "output": "tribu", "possible_translations": [ "tribu" ] }, "1178": { "input": "mythology", "output": "mythologie", "possible_translations": [ "mythologie" ] }, "1179": { "input": "wine", "output": "vin", "possible_translations": [ "lie-de-vin", "fêter en buvant", "boire du vin", "arroser", "vin" ] }, "1180": { "input": "confusion", "output": "confusion", "possible_translations": [ "confusion", "désordre", "malentendu" ] }, "1181": { "input": "error", "output": "erreur", "possible_translations": [ "erreur" ] }, "1182": { "input": "answer", "output": "réponse", "possible_translations": [ "solution", "réponse", "répondre" ] }, "1183": { "input": "victim", "output": "victime", "possible_translations": [ "victime" ] }, "1184": { "input": "fate", "output": "destin", "possible_translations": [ "destinée", "sort", "destin" ] }, "1185": { "input": "sight", "output": "vue", "possible_translations": [ "mire", "viser", "vue", "apercevoir", "truc à voir", "vision", "principales attractions", "quelque chose à voir", "monuments", "viseur", "voir" ] }, "1186": { "input": "jurisdiction", "output": "juridiction", "possible_translations": [ "juridiction" ] }, "1187": { "input": "knee", "output": "genou", "possible_translations": [ "genou" ] }, "1188": { "input": "observation", "output": "observation", "possible_translations": [ "remarque", "observation" ] }, "1189": { "input": "interaction", "output": "interaction", "possible_translations": [ "interaction" ] }, "1190": { "input": "voyage", "output": "voyage", "possible_translations": [ "voyage" ] }, "1191": { "input": "girlfriend", "output": "amie", "possible_translations": [ "blonde", "copine", "amie", "petite copine", "petite amie" ] }, "1192": { "input": "principle", "output": "principe", "possible_translations": [ "principe" ] }, "1193": { "input": "demo", "output": "démo", "possible_translations": [ "démonstration", "démo" ] }, "1194": { "input": "fossil", "output": "fossile", "possible_translations": [ "fossile" ] }, "1195": { "input": "streak", "output": "mite", "possible_translations": [ "mite", "raie" ] }, "1196": { "input": "lifetime", "output": "éternité", "possible_translations": [ "éternité", "vie", "durée de vie", "cent sept ans" ] }, "1197": { "input": "infrastructure", "output": "infrastructure", "possible_translations": [ "infrastructure" ] }, "1198": { "input": "fee", "output": "honoraires", "possible_translations": [ "honoraires" ] }, "1199": { "input": "gift", "output": "don", "possible_translations": [ "donner", "offrir", "don", "talent", "faire don de", "présent", "cadeau" ] }, "1200": { "input": "variation", "output": "variation", "possible_translations": [ "déclinaison", "variation", "variante" ] }, "1201": { "input": "tension", "output": "tension", "possible_translations": [ "tension" ] }, "1202": { "input": "tag", "output": "balise", "possible_translations": [ "balise", "taguer", "chat", "étiquette", "étiqueter", "loup" ] }, "1203": { "input": "impression", "output": "impression", "possible_translations": [ "impression" ] }, "1204": { "input": "pack", "output": "meute", "possible_translations": [ "emballer", "pack", "paquet", "meute" ] }, "1205": { "input": "shock", "output": "choc", "possible_translations": [ "choc", "choquer" ] }, "1206": { "input": "tape", "output": "ruban adhésif", "possible_translations": [ "bande", "ruban adhésif" ] }, "1207": { "input": "stretch", "output": "étirement", "possible_translations": [ "étirement", "s'étendre", "s'étirer", "étendre" ] }, "1208": { "input": "divorce", "output": "divorce", "possible_translations": [ "divorcer", "divorce" ] }, "1209": { "input": "motor", "output": "moteur", "possible_translations": [ "moteur" ] }, "1210": { "input": "inning", "output": "manche", "possible_translations": [ "manche" ] }, "1211": { "input": "pursuit", "output": "poursuite", "possible_translations": [ "poursuite" ] }, "1212": { "input": "fortress", "output": "forteresse", "possible_translations": [ "forteresse" ] }, "1213": { "input": "manuscript", "output": "manuscrit", "possible_translations": [ "manuscrit" ] }, "1214": { "input": "teammate", "output": "coéquipier", "possible_translations": [ "coéquipier", "coéuipière" ] }, "1215": { "input": "gate", "output": "porte logique", "possible_translations": [ "grille", "porte logique", "porte", "portail" ] }, "1216": { "input": "dinner", "output": "dîner", "possible_translations": [ "dîner", "souper", "déjeuner" ] }, "1217": { "input": "span", "output": "empan", "possible_translations": [ "empan", "chevaucher", "couvrir", "s'étendre" ] }, "1218": { "input": "bypass", "output": "contournement", "possible_translations": [ "contourner", "contournement", "passer outre", "pontage", "déviation" ] }, "1219": { "input": "chemistry", "output": "chimie", "possible_translations": [ "chimie" ] }, "1220": { "input": "handling", "output": "manipulation", "possible_translations": [ "maniement", "manipulation" ] }, "1221": { "input": "guy", "output": "hauban", "possible_translations": [ "mec", "bougre", "hauban", "gars" ] }, "1222": { "input": "mixture", "output": "mélange", "possible_translations": [ "mélange" ] }, "1223": { "input": "census", "output": "recensement", "possible_translations": [ "recensement" ] }, "1224": { "input": "velocity", "output": "vitesse", "possible_translations": [ "vitesse" ] }, "1225": { "input": "examination", "output": "examen", "possible_translations": [ "examen" ] }, "1226": { "input": "lift", "output": "portance", "possible_translations": [ "voler", "ascenseur", "lift", "piquer", "portance", "lever" ] }, "1227": { "input": "trailer", "output": "remorque", "possible_translations": [ "roulotte", "remorque", "bande-annonce" ] }, "1228": { "input": "pitcher", "output": "cruche", "possible_translations": [ "pichet", "lanceur", "lanceuse", "cruche" ] }, "1229": { "input": "skill", "output": "habileté", "possible_translations": [ "habileté", "capacité", "don" ] }, "1230": { "input": "sword", "output": "épéiste", "possible_translations": [ "épée", "épéiste" ] }, "1231": { "input": "net", "output": "réseau", "possible_translations": [ "filet", "net", "réseau", "netto" ] }, "1232": { "input": "cable", "output": "câble", "possible_translations": [ "câble" ] }, "1233": { "input": "uniform", "output": "uniforme", "possible_translations": [ "uniforme" ] }, "1234": { "input": "bombardment", "output": "bombardement", "possible_translations": [ "bombardement" ] }, "1235": { "input": "costume", "output": "costume", "possible_translations": [ "costume" ] }, "1236": { "input": "tissue", "output": "tissu", "possible_translations": [ "mouchoir en papier", "kleenex", "tissu" ] }, "1237": { "input": "prototype", "output": "prototype", "possible_translations": [ "prototype" ] }, "1238": { "input": "celebration", "output": "célébration", "possible_translations": [ "célébration", "fête" ] }, "1239": { "input": "tornado", "output": "tornade", "possible_translations": [ "tornade" ] }, "1240": { "input": "promise", "output": "vœu", "possible_translations": [ "promettre", "promesse", "vœu" ] }, "1241": { "input": "laboratory", "output": "laboratoire", "possible_translations": [ "laboratoire" ] }, "1242": { "input": "dozen", "output": "dizaine", "possible_translations": [ "douzaine", "dizaine" ] }, "1243": { "input": "separation", "output": "séparation", "possible_translations": [ "séparation" ] }, "1244": { "input": "feud", "output": "fief", "possible_translations": [ "inimitié", "querelle", "fief", "faide" ] }, "1245": { "input": "chest", "output": "coffre", "possible_translations": [ "coffre", "poitrine" ] }, "1246": { "input": "revival", "output": "réveil", "possible_translations": [ "réveil", "hjjejhd" ] }, "1247": { "input": "nickname", "output": "surnom", "possible_translations": [ "surnom", "surnommer" ] }, "1248": { "input": "politician", "output": "politicien", "possible_translations": [ "femme politique", "politicien", "homme politique" ] }, "1249": { "input": "consumption", "output": "consommation", "possible_translations": [ "consommation", "consommer", "consumer" ] }, "1250": { "input": "cup", "output": "coupe", "possible_translations": [ "bonnet", "tasse", "coupe" ] }, "1251": { "input": "handle", "output": "indicateur", "possible_translations": [ "traiter", "s'occuper de", "paris", "gérer", "manchon", "indicateur", "manette", "levier", "châsse", "manier", "traiter de", "anse", "tirette", "barre de manœuvre", "se pencher sur", "instrument", "mancheron", "tâter", "indicatif", "manœuvrer", "brancard", "poignée", "pseudonyme", "manipuler", "manche", "outil" ] }, "1252": { "input": "harbour", "output": "port", "possible_translations": [ "port", "quai", "abriter", "havre" ] }, "1253": { "input": "biography", "output": "biographie", "possible_translations": [ "biographie" ] }, "1254": { "input": "deputy", "output": "adjoint", "possible_translations": [ "député", "adjoint", "suppléant" ] }, "1255": { "input": "lighter", "output": "briquet", "possible_translations": [ "briquet" ] }, "1256": { "input": "moon", "output": "lune", "possible_translations": [ "mois", "montrer sa lune", "lune" ] }, "1257": { "input": "usage", "output": "coutume", "possible_translations": [ "usage", "coutume" ] }, "1258": { "input": "evacuation", "output": "évacuation", "possible_translations": [ "évacuation" ] }, "1259": { "input": "clock", "output": "horloge", "possible_translations": [ "compteur de vitesse", "horloge", "indicateur de vitesse" ] }, "1260": { "input": "exile", "output": "exil", "possible_translations": [ "exil", "exilé" ] }, "1261": { "input": "seed", "output": "postérité", "possible_translations": [ "départager", "sperme", "postérité", "graine", "classer", "semence", "semer", "apparier", "ensemencer" ] }, "1262": { "input": "lawsuit", "output": "poursuite judiciaire", "possible_translations": [ "poursuite judiciaire", "procès" ] }, "1263": { "input": "cathedral", "output": "cathédrale", "possible_translations": [ "cathédrale" ] }, "1264": { "input": "relation", "output": "parent", "possible_translations": [ "parenté", "parentèle", "parente", "parentaille", "parentage", "parent", "relation" ] }, "1265": { "input": "speculation", "output": "spéculation", "possible_translations": [ "spéculation" ] }, "1266": { "input": "debris", "output": "débris", "possible_translations": [ "débris" ] }, "1267": { "input": "sleep", "output": "sommeil", "possible_translations": [ "dormir", "chassie", "sommeil" ] }, "1268": { "input": "conquest", "output": "conquête", "possible_translations": [ "conquête" ] }, "1269": { "input": "mechanism", "output": "mechanisme", "possible_translations": [ "mechanisme", "mécanisme" ] }, "1270": { "input": "nose", "output": "nez", "possible_translations": [ "odorat", "gueule", "trompe", "museau", "nez" ] }, "1271": { "input": "vicinity", "output": "vicinité", "possible_translations": [ "environs", "vicinité", "voisinage" ] }, "1272": { "input": "killer", "output": "tueur", "possible_translations": [ "", "meurtrière", "assassin", "tueur", "meurtrier" ] }, "1273": { "input": "humanity", "output": "humanité", "possible_translations": [ "humanité" ] }, "1274": { "input": "exhibit", "output": "exposition", "possible_translations": [ "exposition", "exposer" ] }, "1275": { "input": "conversation", "output": "conversation", "possible_translations": [ "conversation" ] }, "1276": { "input": "disorder", "output": "trouble", "possible_translations": [ "trouble", "désordre" ] }, "1277": { "input": "boyfriend", "output": "chum", "possible_translations": [ "amoureux", "ami", "copain", "chum", "petit ami" ] }, "1278": { "input": "helicopter", "output": "hélicoptère", "possible_translations": [ "héliporter", "hélicoptère" ] }, "1279": { "input": "metre", "output": "mètre", "possible_translations": [ "mètre" ] }, "1280": { "input": "infection", "output": "infection", "possible_translations": [ "infection" ] }, "1281": { "input": "metric", "output": "métrique", "possible_translations": [ "métrique" ] }, "1282": { "input": "stress", "output": "stress", "possible_translations": [ "stresser", "souligner", "stress", "emphaser", "tension" ] }, "1283": { "input": "taste", "output": "goût", "possible_translations": [ "essayer", "avant-goût", "goûter", "saveur", "goût" ] }, "1284": { "input": "portrait", "output": "portrait", "possible_translations": [ "portrait" ] }, "1285": { "input": "jet", "output": "gicleur", "possible_translations": [ "gicleur", "jais", "noir de jais", "jet" ] }, "1286": { "input": "explanation", "output": "explication", "possible_translations": [ "explication" ] }, "1287": { "input": "acre", "output": "acre", "possible_translations": [ "acre" ] }, "1288": { "input": "peninsula", "output": "péninsule", "possible_translations": [ "péninsule" ] }, "1289": { "input": "diamond", "output": "diamant", "possible_translations": [ "carreau", "diamanter", "diamant" ] }, "1290": { "input": "attorney", "output": "juriste", "possible_translations": [ "juriste", "avocat", "avocate" ] }, "1291": { "input": "heir", "output": "héritier", "possible_translations": [ "héritière", "successeur", "héritier" ] }, "1292": { "input": "roadway", "output": "chaussée", "possible_translations": [ "chaussée" ] }, "1293": { "input": "truck", "output": "camion", "possible_translations": [ "camion", "conduire un camion" ] }, "1294": { "input": "bowl", "output": "bol", "possible_translations": [ "bol" ] }, "1295": { "input": "user", "output": "consommateur", "possible_translations": [ "utilisateur", "consommateur", "utilisatrice" ] }, "1296": { "input": "lover", "output": "amoureux", "possible_translations": [ "amant", "amoureuse", "amoureux", "amante" ] }, "1297": { "input": "closure", "output": "fermeture", "possible_translations": [ "fermeture" ] }, "1298": { "input": "wheel", "output": "roue", "possible_translations": [ "volant", "roue" ] }, "1299": { "input": "suggestion", "output": "suggestion", "possible_translations": [ "suggestion" ] }, "1300": { "input": "proof", "output": "preuve", "possible_translations": [ "épreuve", "preuve" ] }, "1301": { "input": "fungus", "output": "fongus", "possible_translations": [ "fongus" ] }, "1302": { "input": "conspiracy", "output": "conspiration", "possible_translations": [ "conspiration" ] }, "1303": { "input": "attraction", "output": "attraction", "possible_translations": [ "attraction", "attirance" ] }, "1304": { "input": "faculty", "output": "faculté", "possible_translations": [ "faculté" ] }, "1305": { "input": "reporter", "output": "reporter", "possible_translations": [ "rapporteur", "reporter", "journaliste" ] }, "1306": { "input": "romance", "output": "romance", "possible_translations": [ "amour romantique", "romance", "idylle" ] }, "1307": { "input": "license", "output": "licence", "possible_translations": [ "licence" ] }, "1308": { "input": "grass", "output": "herbe", "possible_translations": [ "balance", "gazon", "moucharder", "pelouse", "beuh", "herbe" ] }, "1309": { "input": "sheep", "output": "mouton", "possible_translations": [ "mouton" ] }, "1310": { "input": "publicity", "output": "publicité", "possible_translations": [ "publicité" ] }, "1311": { "input": "parking", "output": "stationnement", "possible_translations": [ "stationnement", "parking" ] }, "1312": { "input": "surge", "output": "montée", "possible_translations": [ "poussée", "afflux", "déferler", "montée", "vague" ] }, "1313": { "input": "stability", "output": "stabilité", "possible_translations": [ "stabilité" ] }, "1314": { "input": "patient", "output": "patient", "possible_translations": [ "patient", "patiente" ] }, "1315": { "input": "noise", "output": "bruit", "possible_translations": [ "bruit", "vacarme", "brouhaha" ] }, "1316": { "input": "companion", "output": "compagnon", "possible_translations": [ "compagnon", "compagne" ] }, "1317": { "input": "drink", "output": "verre", "possible_translations": [ "verre", "boire", "boisson" ] }, "1318": { "input": "check", "output": "vérification", "possible_translations": [ "checker", "vérifier", "cocher", "contrôler", "contrôle", "enregistrer", "échec", "déposer", "examen", "faire attention", "croix", "addition", "vérification", "laisser" ] }, "1319": { "input": "telephone", "output": "téléphone", "possible_translations": [ "téléphoner", "téléphone" ] }, "1320": { "input": "cruise", "output": "croisière", "possible_translations": [ "croisière" ] }, "1321": { "input": "roster", "output": "liste", "possible_translations": [ "inscrire", "liste", "consigner" ] }, "1322": { "input": "comment", "output": "commentaire", "possible_translations": [ "commenter", "commentaire" ] }, "1323": { "input": "tune", "output": "tube", "possible_translations": [ "mélodie", "tube" ] }, "1324": { "input": "paint", "output": "peinture", "possible_translations": [ "peinturer", "peinture", "peindre" ] }, "1325": { "input": "insurance", "output": "assurance", "possible_translations": [ "assurance" ] }, "1326": { "input": "photo", "output": "photo", "possible_translations": [ "photo" ] }, "1327": { "input": "cash", "output": "espèces", "possible_translations": [ "encaisser", "espèces" ] }, "1328": { "input": "creature", "output": "créature", "possible_translations": [ "créature", "être" ] }, "1329": { "input": "crop", "output": "cravache", "possible_translations": [ "jabot", "découper", "récolte", "cravache" ] }, "1330": { "input": "rice", "output": "riz", "possible_translations": [ "arroz", "riz" ] }, "1331": { "input": "diversity", "output": "diversité", "possible_translations": [ "diversité" ] }, "1332": { "input": "pole", "output": "pôle", "possible_translations": [ "pôle", "perche" ] }, "1333": { "input": "stuff", "output": "truc", "possible_translations": [ "péter", "truffer", "machin", "bourrer", "foutre", "déglinguer", "fourrer", "mettre", "farcir", "truc", "substance" ] }, "1334": { "input": "scholarship", "output": "érudition", "possible_translations": [ "bourse", "érudition" ] }, "1335": { "input": "rotation", "output": "tour", "possible_translations": [ "rotation", "tour" ] }, "1336": { "input": "pink", "output": "rose", "possible_translations": [ "pétiller", "œillet", "rose" ] }, "1337": { "input": "monastery", "output": "monastère", "possible_translations": [ "monastère" ] }, "1338": { "input": "reconstruction", "output": "reconstitution", "possible_translations": [ "reconstitution" ] }, "1339": { "input": "mill", "output": "moulin", "possible_translations": [ "moulin", "fabrique", "usine", "manufacture", "moudre" ] }, "1340": { "input": "spacecraft", "output": "vaisseau spatial", "possible_translations": [ "vaisseau spatial" ] }, "1341": { "input": "dual", "output": "duel", "possible_translations": [ "dual", "duel", "double" ] }, "1342": { "input": "egg", "output": "œuf", "possible_translations": [ "jeter des oeufs", "ovule", "œuf" ] }, "1343": { "input": "distinction", "output": "distinction", "possible_translations": [ "distinction", "différence" ] }, "1344": { "input": "commitment", "output": "engagement", "possible_translations": [ "engagement" ] }, "1345": { "input": "radius", "output": "rayon", "possible_translations": [ "radius", "rayon" ] }, "1346": { "input": "crest", "output": "crête", "possible_translations": [ "cimier", "huppe", "crête", "aigrette" ] }, "1347": { "input": "labour", "output": "accouchement", "possible_translations": [ "travail", "ouvrage", "travailler", "accouchement" ] }, "1348": { "input": "revenge", "output": "vengeance", "possible_translations": [ "venger", "vengeance" ] }, "1349": { "input": "consequence", "output": "conséquence", "possible_translations": [ "conséquence" ] }, "1350": { "input": "formula", "output": "formule", "possible_translations": [ "formule" ] }, "1351": { "input": "runner", "output": "coulisse", "possible_translations": [ "coulisse", "glissière", "coureur", "coureuse" ] }, "1352": { "input": "dust", "output": "poussière", "possible_translations": [ "pulvériser", "poussière", "épousseter" ] }, "1353": { "input": "proportion", "output": "proportion", "possible_translations": [ "proportion" ] }, "1354": { "input": "scandal", "output": "scandale", "possible_translations": [ "scandale", "esclandre" ] }, "1355": { "input": "shield", "output": "bouclier", "possible_translations": [ "bouclier", "protéger", "écu" ] }, "1356": { "input": "electron", "output": "électron", "possible_translations": [ "électron" ] }, "1357": { "input": "outcome", "output": "issue", "possible_translations": [ "dénouement", "résultat", "issue" ] }, "1358": { "input": "logo", "output": "logo", "possible_translations": [ "logo", "logotype" ] }, "1359": { "input": "propaganda", "output": "propagande", "possible_translations": [ "propagande" ] }, "1360": { "input": "transmission", "output": "transmission", "possible_translations": [ "transmission", "boite de vitesses" ] }, "1361": { "input": "consideration", "output": "considération", "possible_translations": [ "considération", "raison", "récompense", "motif" ] }, "1362": { "input": "autobiography", "output": "autobiographie", "possible_translations": [ "autobiographie" ] }, "1363": { "input": "vegetation", "output": "végétation", "possible_translations": [ "végétation" ] }, "1364": { "input": "rider", "output": "cavalier", "possible_translations": [ "cavalier" ] }, "1365": { "input": "depiction", "output": "représentation", "possible_translations": [ "représentation" ] }, "1366": { "input": "monster", "output": "bête", "possible_translations": [ "bête", "monstrueux", "monstre" ] }, "1367": { "input": "routine", "output": "routine", "possible_translations": [ "routine", "numéro", "de routine" ] }, "1368": { "input": "worker", "output": "ouvrier", "possible_translations": [ "travailleuse", "ouvrière", "ouvrier", "travailleur" ] }, "1369": { "input": "presidency", "output": "présidence", "possible_translations": [ "présidence" ] }, "1370": { "input": "doctrine", "output": "doctrine", "possible_translations": [ "doctrine" ] }, "1371": { "input": "pound", "output": "fourrière", "possible_translations": [ "livre", "fourrière", "pilonner" ] }, "1372": { "input": "assassination", "output": "assassinat", "possible_translations": [ "assassinat" ] }, "1373": { "input": "sum", "output": "somme", "possible_translations": [ "somme", "calcul", "additionner" ] }, "1374": { "input": "achievement", "output": "succès", "possible_translations": [ "succès", "accomplissement", "haut fait", "réalisation" ] }, "1375": { "input": "payment", "output": "paiement", "possible_translations": [ "payement", "paiement" ] }, "1376": { "input": "consciousness", "output": "conscience", "possible_translations": [ "conscience" ] }, "1377": { "input": "priority", "output": "priorité", "possible_translations": [ "priorité" ] }, "1378": { "input": "nephew", "output": "neveu", "possible_translations": [ "neveu" ] }, "1379": { "input": "phenomenon", "output": "phénomène", "possible_translations": [ "phénomène" ] }, "1380": { "input": "width", "output": "largeur", "possible_translations": [ "largeur" ] }, "1381": { "input": "hypothesis", "output": "hypothèse", "possible_translations": [ "hypothèse" ] }, "1382": { "input": "mail", "output": "poste", "possible_translations": [ "poste", "courrier", "mail", "courrier électronique", "courriel", "e-mail" ] }, "1383": { "input": "witness", "output": "témoin", "possible_translations": [ "témoigner", "preuve", "témoin", "témoignage" ] }, "1384": { "input": "poverty", "output": "pauvreté", "possible_translations": [ "pauvreté" ] }, "1385": { "input": "finance", "output": "finance", "possible_translations": [ "financer", "finance", "finances" ] }, "1386": { "input": "awareness", "output": "conscience", "possible_translations": [ "conscience", "connaissance" ] }, "1387": { "input": "corruption", "output": "corruption", "possible_translations": [ "corruption" ] }, "1388": { "input": "curve", "output": "courbe", "possible_translations": [ "courbe", "courber", "courbes" ] }, "1389": { "input": "scientist", "output": "scientifique", "possible_translations": [ "savante", "savant", "scientifique" ] }, "1390": { "input": "flower", "output": "fleur", "possible_translations": [ "fleur", "s'épanouir", "fleurir" ] }, "1391": { "input": "exploration", "output": "exploration", "possible_translations": [ "exploration" ] }, "1392": { "input": "bell", "output": "cloche", "possible_translations": [ "pavillon", "cloche" ] }, "1393": { "input": "procedure", "output": "procédure", "possible_translations": [ "procédure", "fonction", "procédé" ] }, "1394": { "input": "choir", "output": "chœur", "possible_translations": [ "chœur", "classe" ] }, "1395": { "input": "shaft", "output": "hampe", "possible_translations": [ "hampe" ] }, "1396": { "input": "ceiling", "output": "plafond", "possible_translations": [ "plafond", "partie entière par excès" ] }, "1397": { "input": "mystery", "output": "mystère", "possible_translations": [ "mystère" ] }, "1398": { "input": "villain", "output": "vilain", "possible_translations": [ "paysan", "méchant", "vilain", "scélérat" ] }, "1399": { "input": "cat", "output": "chat", "possible_translations": [ "félin", "féliné", "débecter", "chat", "capon", "félidé", "débequeter", "dégobiller", "féliformes", "chatte", "féloidés", "machairodontinés", "machairodontiné", "panthériné", "féliforme", "féloidé", "caponner", "fouetter avec un chat à neuf queues" ] }, "1400": { "input": "requirement", "output": "contrainte", "possible_translations": [ "exigence", "contrainte", "besoin", "demande" ] }, "1401": { "input": "horsepower", "output": "cheval-vapeur", "possible_translations": [ "cheval-vapeur" ] }, "1402": { "input": "cubic", "output": "cubique", "possible_translations": [ "cubique", "cube" ] }, "1403": { "input": "bond", "output": "lien", "possible_translations": [ "liaison", "appareil", "alliance", "obligation", "appareiller", "lier", "entrave", "lien" ] }, "1404": { "input": "navigation", "output": "navigation", "possible_translations": [ "navigation" ] }, "1405": { "input": "cameo", "output": "camaïeu", "possible_translations": [ "camaïeu" ] }, "1406": { "input": "web", "output": "âme", "possible_translations": [ "réseau", "poche", "palmure", "bande", "panier", "Web", "bobine", "Toile", "âme" ] }, "1407": { "input": "mood", "output": "humeur", "possible_translations": [ "mauvaise humeur", "atmosphère", "humeur", "ambiance" ] }, "1408": { "input": "faction", "output": "faction", "possible_translations": [ "faction" ] }, "1409": { "input": "gauge", "output": "étalon", "possible_translations": [ "gabarit", "mesurer", "estimer", "étalon", "écartement", "jauger" ] }, "1410": { "input": "eruption", "output": "éruption", "possible_translations": [ "éruption" ] }, "1411": { "input": "dive", "output": "piqué", "possible_translations": [ "plonger", "gargote", "plongée", "plongeon", "nager", "chiquer", "piqué" ] }, "1412": { "input": "goddess", "output": "déesse", "possible_translations": [ "déesse" ] }, "1413": { "input": "consensus", "output": "consensus", "possible_translations": [ "consensus" ] }, "1414": { "input": "tooth", "output": "dent", "possible_translations": [ "dent" ] }, "1415": { "input": "variant", "output": "variante", "possible_translations": [ "variante" ] }, "1416": { "input": "monarch", "output": "monarque", "possible_translations": [ "monarque" ] }, "1417": { "input": "grid", "output": "grille", "possible_translations": [ "grille", "réseau" ] }, "1418": { "input": "loyalty", "output": "loyauté", "possible_translations": [ "loyauté" ] }, "1419": { "input": "cotton", "output": "coton", "possible_translations": [ "coton" ] }, "1420": { "input": "battlefield", "output": "champ de bataille", "possible_translations": [ "champ de bataille" ] }, "1421": { "input": "assessment", "output": "évaluation", "possible_translations": [ "évaluation", "estimation" ] }, "1422": { "input": "seal", "output": "sceau", "possible_translations": [ "sceau", "joint", "cacheter", "sceller", "phoque" ] }, "1423": { "input": "wire", "output": "fil", "possible_translations": [ "fil" ] }, "1424": { "input": "highlight", "output": "temps fort", "possible_translations": [ "instant le plus marquant", "mettre en valeur", "réhaut", "moment le plus marquant", "etre la star de", "surligner", "fait saillant", "temps fort", "rehaut" ] }, "1425": { "input": "reader", "output": "lecteur", "possible_translations": [ "lectrice", "lecteur" ] }, "1426": { "input": "clip", "output": "extrait", "possible_translations": [ "extrait", "clip" ] }, "1427": { "input": "flesh", "output": "chair", "possible_translations": [ "peau", "viande", "pulpe", "corps", "carnation", "chair" ] }, "1428": { "input": "vocalist", "output": "vocaliste", "possible_translations": [ "vocaliste" ] }, "1429": { "input": "sheet", "output": "feuille", "possible_translations": [ "feuille", "écoute", "plaque" ] }, "1430": { "input": "referee", "output": "arbitre", "possible_translations": [ "arbitre" ] }, "1431": { "input": "declaration", "output": "déclaration", "possible_translations": [ "déclaration" ] }, "1432": { "input": "missile", "output": "projectile", "possible_translations": [ "missile", "projectile" ] }, "1433": { "input": "airfield", "output": "aérodrome", "possible_translations": [ "aérodrome" ] }, "1434": { "input": "discipline", "output": "discipline", "possible_translations": [ "pénalité", "branche", "discipline" ] }, "1435": { "input": "mistake", "output": "faute", "possible_translations": [ "", "erreur", "méprendre", "se tromper", "faire erreur", "faute", "confondre" ] }, "1436": { "input": "sacrifice", "output": "sacrifice", "possible_translations": [ "sacrifice", "sacrifier" ] }, "1437": { "input": "gallery", "output": "galerie", "possible_translations": [ "galerie", "balcon" ] }, "1438": { "input": "audition", "output": "audition", "possible_translations": [ "auditionner", "audition" ] }, "1439": { "input": "harm", "output": "mal", "possible_translations": [ "nuire à", "tort", "dommage", "faire du mal à", "mal" ] }, "1440": { "input": "frigate", "output": "frégate", "possible_translations": [ "frégate" ] }, "1441": { "input": "expense", "output": "dépense", "possible_translations": [ "dépense" ] }, "1442": { "input": "syndrome", "output": "syndrome", "possible_translations": [ "syndrome" ] }, "1443": { "input": "troop", "output": "troupes", "possible_translations": [ "troupes" ] }, "1444": { "input": "supporter", "output": "support", "possible_translations": [ "partisan", "support", "supporter", "supporteuse", "supporteur" ] }, "1445": { "input": "machinery", "output": "mécanique", "possible_translations": [ "parc de machines", "méchanique", "machinierie", "mécanique" ] }, "1446": { "input": "migration", "output": "free", "possible_translations": [ "free", "french", "migration" ] }, "1447": { "input": "locomotive", "output": "locomotive", "possible_translations": [ "locomotive" ] }, "1448": { "input": "stroke", "output": "coup", "possible_translations": [ "brasse", "trait", "accident vasculaire cérébral", "caresse", "AVC", "attaque cérébrale", "caresser", "coup", "barre oblique", "infarctus" ] }, "1449": { "input": "shopping", "output": "shopping", "possible_translations": [ "courses", "shopping" ] }, "1450": { "input": "hunt", "output": "chasse", "possible_translations": [ "chasse", "chasser", "chercher" ] }, "1451": { "input": "proximity", "output": "proximité", "possible_translations": [ "proximité" ] }, "1452": { "input": "joke", "output": "plaisanterie", "possible_translations": [ "plaisanter", "ratée", "blaguer", "plaisanterie", "blague", "raté" ] }, "1453": { "input": "currency", "output": "monnaie", "possible_translations": [ "numéraire", "devise", "monnaie" ] }, "1454": { "input": "bore", "output": "mascaret", "possible_translations": [ "percer", "mascaret", "barber", "ennuyer" ] }, "1455": { "input": "whale", "output": "baleine", "possible_translations": [ "baleine" ] }, "1456": { "input": "beer", "output": "bière", "possible_translations": [ "bière" ] }, "1457": { "input": "rocket", "output": "roquette", "possible_translations": [ "fusée", "roquette" ] }, "1458": { "input": "aviation", "output": "aviation", "possible_translations": [ "aviation" ] }, "1459": { "input": "spell", "output": "charme", "possible_translations": [ "charme", "sort", "épeler", "maléfice" ] }, "1460": { "input": "gathering", "output": "rencontre", "possible_translations": [ "cahier", "assemblée", "groupe", "réunion", "rassemblement", "rencontre" ] }, "1461": { "input": "cylinder", "output": "cylindre", "possible_translations": [ "barillet", "cylindre phonographique", "cylindre", "bonbonne" ] }, "1462": { "input": "cave", "output": "caverne", "possible_translations": [ "éboulement", "grotte", "cave", "caverne", "antre" ] }, "1463": { "input": "leaf", "output": "feuille", "possible_translations": [ "rallonge", "feuille", "battant" ] }, "1464": { "input": "screening", "output": "protection", "possible_translations": [ "projection", "protection" ] }, "1465": { "input": "stick", "output": "canne", "possible_translations": [ "ficher", "coincer", "planter", "bâton", "rester", "bouturer", "coller", "canne", "crosse" ] }, "1466": { "input": "installation", "output": "installation", "possible_translations": [ "installation" ] }, "1467": { "input": "massacre", "output": "massacre", "possible_translations": [ "massacre", "massacrer" ] }, "1468": { "input": "editing", "output": "rédaction", "possible_translations": [ "rédaction" ] }, "1469": { "input": "tourism", "output": "tourisme", "possible_translations": [ "tourisme" ] }, "1470": { "input": "gravity", "output": "gravité", "possible_translations": [ "gravité", "pesanteur" ] }, "1471": { "input": "therapy", "output": "thérapie", "possible_translations": [ "thérapie" ] }, "1472": { "input": "widow", "output": "veuve", "possible_translations": [ "veuve" ] }, "1473": { "input": "hook", "output": "crochet", "possible_translations": [ "agrafe", "hameçon", "ferrer “to iron a fish”", "accrocher", "crochet" ] }, "1474": { "input": "milk", "output": "lait", "possible_translations": [ "traire", "lait" ] }, "1475": { "input": "transit", "output": "transit", "possible_translations": [ "transiter", "transit" ] }, "1476": { "input": "prospect", "output": "perspective", "possible_translations": [ "perspective", "prospecter" ] }, "1477": { "input": "cooperation", "output": "coopération", "possible_translations": [ "coopération" ] }, "1478": { "input": "captivity", "output": "captivité", "possible_translations": [ "captivité" ] }, "1479": { "input": "gear", "output": "engrenage", "possible_translations": [ "engrenage", "passer ses vitesses", "vitesse" ] }, "1480": { "input": "corridor", "output": "couloir aérien", "possible_translations": [ "couloir", "corridor", "couloir aérien" ] }, "1481": { "input": "volcano", "output": "volcan", "possible_translations": [ "volcan" ] }, "1482": { "input": "shirt", "output": "chemise", "possible_translations": [ "chemise" ] }, "1483": { "input": "delegation", "output": "délégation", "possible_translations": [ "délégation" ] }, "1484": { "input": "hybrid", "output": "hybride", "possible_translations": [ "hybride" ] }, "1485": { "input": "coalition", "output": "coalition", "possible_translations": [ "coalition" ] }, "1486": { "input": "developer", "output": "promoteur", "possible_translations": [ "révélateur", "développeur", "développateur", "promoteur", "concepteur", "créateur" ] }, "1487": { "input": "trick", "output": "tour", "possible_translations": [ "tromper", "pli", "embobiner", "farce", "tour", "duper", "truc", "rouler" ] }, "1488": { "input": "jaw", "output": "mâchoire", "possible_translations": [ "mâchoire", "mâchoire supérieure", "mâchoire inférieure" ] }, "1489": { "input": "thickness", "output": "épaisseur", "possible_translations": [ "épaisseur", "grosseur" ] }, "1490": { "input": "kiss", "output": "baiser", "possible_translations": [ "s'embrasser", "bisou", "embrasser", "effleurer", "bise", "baiser", "bec", "bécot" ] }, "1491": { "input": "operator", "output": "opérateur", "possible_translations": [ "téléphoniste", "opérateur" ] }, "1492": { "input": "pregnancy", "output": "grossesse", "possible_translations": [ "gestation", "grossesse" ] }, "1493": { "input": "trophy", "output": "trophée", "possible_translations": [ "trophée" ] }, "1494": { "input": "oak", "output": "chêne", "possible_translations": [ "chênes", "chêne" ] }, "1495": { "input": "file", "output": "fichier", "possible_translations": [ "limer", "lime", "colonne", "fichier" ] }, "1496": { "input": "acquisition", "output": "acquisition", "possible_translations": [ "acquisition" ] }, "1497": { "input": "collision", "output": "collision", "possible_translations": [ "collision" ] }, "1498": { "input": "kitchen", "output": "cuisine", "possible_translations": [ "cuisine" ] }, "1499": { "input": "conjunction", "output": "conjonction", "possible_translations": [ "conjonction" ] }, "1500": { "input": "scenario", "output": "scénario", "possible_translations": [ "scénario" ] }, "1501": { "input": "package", "output": "paquet", "possible_translations": [ "empaqueter", "paquet", "emballer" ] }, "1502": { "input": "substance", "output": "substance", "possible_translations": [ "substance", "biens" ] }, "1503": { "input": "roller", "output": "rollier", "possible_translations": [ "rouleau", "rollier" ] }, "1504": { "input": "tennis", "output": "tennis", "possible_translations": [ "tennis" ] }, "1505": { "input": "motorway", "output": "autoroute", "possible_translations": [ "autoroute" ] }, "1506": { "input": "petition", "output": "pétition", "possible_translations": [ "pétitionner", "pétition" ] }, "1507": { "input": "diving", "output": "plongée sous-marine", "possible_translations": [ "plongeur", "plongeant", "plongée sous-marine", "plongeon" ] }, "1508": { "input": "progression", "output": "progression", "possible_translations": [ "progression" ] }, "1509": { "input": "topic", "output": "sujet", "possible_translations": [ "sujet", "thème" ] }, "1510": { "input": "demonstration", "output": "démonstration", "possible_translations": [ "démonstration", "manifestation" ] }, "1511": { "input": "erosion", "output": "érosion", "possible_translations": [ "érosion" ] }, "1512": { "input": "climbing", "output": "escalade", "possible_translations": [ "escalade" ] }, "1513": { "input": "suburb", "output": "banlieue", "possible_translations": [ "banlieue" ] }, "1514": { "input": "muzzle", "output": "muselière", "possible_translations": [ "museau", "muselière", "museler" ] }, "1515": { "input": "plutonium", "output": "plutonium", "possible_translations": [ "plutonium" ] }, "1516": { "input": "wound", "output": "blessure", "possible_translations": [ "blessure", "blesser", "offenser", "lésion", "offense", "plaie" ] }, "1517": { "input": "monitor", "output": "écran", "possible_translations": [ "monitrice", "surveiller", "moniteur", "contrôler", "écran" ] }, "1518": { "input": "dawn", "output": "aube", "possible_translations": [ "aurore", "naître", "se lever", "lever du soleil", "aube" ] }, "1519": { "input": "attachment", "output": "pièce jointe", "possible_translations": [ "pièce jointe" ] }, "1520": { "input": "essay", "output": "essai", "possible_translations": [ "essai", "dissertation", "rédaction" ] }, "1521": { "input": "golf", "output": "golf", "possible_translations": [ "golfer", "golf" ] }, "1522": { "input": "grain", "output": "grain", "possible_translations": [ "grainer", "grain", "grener" ] }, "1523": { "input": "amendment", "output": "amendement", "possible_translations": [ "amendement" ] }, "1524": { "input": "pleasure", "output": "plaisir", "possible_translations": [ "plaisir", "désir" ] }, "1525": { "input": "hamlet", "output": "hameau", "possible_translations": [ "hameau" ] }, "1526": { "input": "backup", "output": "sauvegarde", "possible_translations": [ "sauvegarde" ] }, "1527": { "input": "stance", "output": "position", "possible_translations": [ "posture", "attitude", "position" ] }, "1528": { "input": "wreck", "output": "accident", "possible_translations": [ "épave", "accident", "bousiller", "ruiner", "carcasse" ] }, "1529": { "input": "muscle", "output": "muscle", "possible_translations": [ "muscle" ] }, "1530": { "input": "grandson", "output": "petit-fils", "possible_translations": [ "petit-fils" ] }, "1531": { "input": "citizen", "output": "citoyen", "possible_translations": [ "habitant", "citoyen", "civil", "résident", "civile", "citoyenne" ] }, "1532": { "input": "ensemble", "output": "ensemble", "possible_translations": [ "ensemble" ] }, "1533": { "input": "speaker", "output": "baffle", "possible_translations": [ "président", "parleur", "baffle", "haut-parleur", "orateur", "locuteur" ] }, "1534": { "input": "input", "output": "entrée", "possible_translations": [ "rentrer", "entrée" ] }, "1535": { "input": "item", "output": "truc", "possible_translations": [ "truc", "article", "point" ] }, "1536": { "input": "barrier", "output": "barrière", "possible_translations": [ "limite", "frontière", "barrière" ] }, "1537": { "input": "rookie", "output": "bleu", "possible_translations": [ "bleu" ] }, "1538": { "input": "scrap", "output": "ferraille", "possible_translations": [ "litige", "restes", "bribe", "ferraille", "bout" ] }, "1539": { "input": "layout", "output": "plan", "possible_translations": [ "structure", "plan", "disposition", "schéma", "mise en page maquette" ] }, "1540": { "input": "compensation", "output": "compensation", "possible_translations": [ "émolument", "dédommagement", "indemnisation", "contrepartie", "compensation" ] }, "1541": { "input": "darkness", "output": "noirceur", "possible_translations": [ "sombreur", "ténèbres", "obscurité", "noirceur" ] }, "1542": { "input": "invitation", "output": "invitation", "possible_translations": [ "invitation" ] }, "1543": { "input": "notion", "output": "notion", "possible_translations": [ "notion" ] }, "1544": { "input": "monarchy", "output": "monarchie", "possible_translations": [ "monarchie" ] }, "1545": { "input": "midnight", "output": "minuit", "possible_translations": [ "minuit" ] }, "1546": { "input": "diary", "output": "journal intime", "possible_translations": [ "journal intime" ] }, "1547": { "input": "consent", "output": "consentement", "possible_translations": [ "approuver", "consentement", "agrément", "agréer", "approbation", "consentir" ] }, "1548": { "input": "disappointment", "output": "déception", "possible_translations": [ "déception" ] }, "1549": { "input": "employee", "output": "employé", "possible_translations": [ "employé", "employée" ] }, "1550": { "input": "identification", "output": "pièce d'identité", "possible_translations": [ "identification", "pièce d'identité" ] }, "1551": { "input": "anger", "output": "colère", "possible_translations": [ "fâcher", "ire", "courroux", "rage", "fureur", "mettre en colère", "colère" ] }, "1552": { "input": "destination", "output": "destination", "possible_translations": [ "arrivée", "destination" ] }, "1553": { "input": "inscription", "output": "inscription", "possible_translations": [ "inscription", "dédicace", "légende" ] }, "1554": { "input": "celebrity", "output": "célébrité", "possible_translations": [ "célébrité" ] }, "1555": { "input": "soap", "output": "savon", "possible_translations": [ "se savonner", "savon", "savonner" ] }, "1556": { "input": "tide", "output": "marée", "possible_translations": [ "marée", "tendance" ] }, "1557": { "input": "fusion", "output": "fusion", "possible_translations": [ "fusion" ] }, "1558": { "input": "assignment", "output": "affectation", "possible_translations": [ "affectation" ] }, "1559": { "input": "mirror", "output": "copie", "possible_translations": [ "miroir", "glace", "copie" ] }, "1560": { "input": "physician", "output": "médecin", "possible_translations": [ "médecin" ] }, "1561": { "input": "testimony", "output": "témoin", "possible_translations": [ "témoignage", "témoin" ] }, "1562": { "input": "accuracy", "output": "exactitude", "possible_translations": [ "précision", "exactitude" ] }, "1563": { "input": "cartoon", "output": "dessin animé", "possible_translations": [ "caricature", "dessin animé", "bande dessinée", "BD" ] }, "1564": { "input": "arcade", "output": "salle d'arcade", "possible_translations": [ "arcade", "salle d'arcade" ] }, "1565": { "input": "rifle", "output": "fusil", "possible_translations": [ "fusil" ] }, "1566": { "input": "momentum", "output": "élan", "possible_translations": [ "élan", "quantité de mouvement" ] }, "1567": { "input": "clergy", "output": "clergé", "possible_translations": [ "clergé" ] }, "1568": { "input": "swing", "output": "revirement", "possible_translations": [ "balancer", "balançoire", "revirement", "se balancer", "balancement", "swing", "swinguer", "osciller", "Swing" ] }, "1569": { "input": "hardware", "output": "arme à feu", "possible_translations": [ "quincaillerie", "arme à feu", "matériel" ] }, "1570": { "input": "colonel", "output": "colonel", "possible_translations": [ "colonel" ] }, "1571": { "input": "nobility", "output": "noblesse", "possible_translations": [ "noblesse" ] }, "1572": { "input": "liver", "output": "foie", "possible_translations": [ "foie" ] }, "1573": { "input": "blast", "output": "rafale", "possible_translations": [ "rafale" ] }, "1574": { "input": "bench", "output": "banc", "possible_translations": [ "banc" ] }, "1575": { "input": "myth", "output": "mythe", "possible_translations": [ "mythe" ] }, "1576": { "input": "duet", "output": "duo", "possible_translations": [ "duetto", "duo" ] }, "1577": { "input": "freight", "output": "cargo", "possible_translations": [ "cargo", "fret" ] }, "1578": { "input": "accordance", "output": "accordance", "possible_translations": [ "accordance" ] }, "1579": { "input": "congregation", "output": "assemblée", "possible_translations": [ "assemblée", "congrégation", "rassemblement", "assemblée des fidèles" ] }, "1580": { "input": "maturity", "output": "maturité", "possible_translations": [ "maturité" ] }, "1581": { "input": "commerce", "output": "rapports", "possible_translations": [ "rapports", "commerce" ] }, "1582": { "input": "municipality", "output": "municipalité", "possible_translations": [ "municipalité" ] }, "1583": { "input": "imprisonment", "output": "emprisonnement", "possible_translations": [ "emprisonnement" ] }, "1584": { "input": "skeleton", "output": "squelette", "possible_translations": [ "squelette" ] }, "1585": { "input": "extinction", "output": "extinction", "possible_translations": [ "extinction" ] }, "1586": { "input": "passion", "output": "passion", "possible_translations": [ "Passion", "passion" ] }, "1587": { "input": "prayer", "output": "prière", "possible_translations": [ "prière", "prières" ] }, "1588": { "input": "limestone", "output": "calcaire", "possible_translations": [ "calcaire" ] }, "1589": { "input": "specialist", "output": "spécialiste", "possible_translations": [ "spécialiste" ] }, "1590": { "input": "sketch", "output": "esquisse", "possible_translations": [ "sketch", "esquisse", "esquisser", "ébauche" ] }, "1591": { "input": "scope", "output": "portée", "possible_translations": [ "portée" ] }, "1592": { "input": "burn", "output": "brûlure", "possible_translations": [ "graver", "brûler", "brûlure" ] }, "1593": { "input": "nationalist", "output": "nationaliste", "possible_translations": [ "nationaliste" ] }, "1594": { "input": "subsidiary", "output": "filiale", "possible_translations": [ "filiale", "subsidiaire" ] }, "1595": { "input": "resort", "output": "sortie", "possible_translations": [ "recours", "retrier", "sortie", "recourir", "lieu de vacances", "resort" ] }, "1596": { "input": "efficiency", "output": "rendement", "possible_translations": [ "rendement" ] }, "1597": { "input": "volunteer", "output": "volontaire", "possible_translations": [ "volontaire", "bénévole" ] }, "1598": { "input": "runway", "output": "piste", "possible_translations": [ "podium", "piste d'atterrissage", "piste", "passerelle" ] }, "1599": { "input": "sphere", "output": "sphère", "possible_translations": [ "sphère", "boule" ] }, "1600": { "input": "summary", "output": "résumé", "possible_translations": [ "résumé", "sommaire", "compte rendu", "récapitulation" ] }, "1601": { "input": "trademark", "output": "marque commerciale", "possible_translations": [ "marque commerciale" ] }, "1602": { "input": "instruction", "output": "instruction", "possible_translations": [ "instruction" ] }, "1603": { "input": "perception", "output": "perception", "possible_translations": [ "perception" ] }, "1604": { "input": "garage", "output": "garage", "possible_translations": [ "garage" ] }, "1605": { "input": "sexuality", "output": "sexualité", "possible_translations": [ "sexe", "sexualité" ] }, "1606": { "input": "lock", "output": "verrou", "possible_translations": [ "sas", "cadenas", "fermer", "barrer", "écluse", "serrure", "mèche", "verrou" ] }, "1607": { "input": "freshman", "output": "bizut / bizuth", "possible_translations": [ "bizut / bizuth", "bleue", "bleu" ] }, "1608": { "input": "tool", "output": "outil", "possible_translations": [ "outil", "façonner", "mouton" ] }, "1609": { "input": "domain", "output": "domaine", "possible_translations": [ "domaine" ] }, "1610": { "input": "rape", "output": "viol", "possible_translations": [ "pirater", "violer", "viol" ] }, "1611": { "input": "inquiry", "output": "enquête", "possible_translations": [ "enquête" ] }, "1612": { "input": "tendency", "output": "tendance", "possible_translations": [ "tendance" ] }, "1613": { "input": "permit", "output": "permis", "possible_translations": [ "permission", "permis", "permettre" ] }, "1614": { "input": "athlete", "output": "athlète", "possible_translations": [ "sportive", "sportif", "athlète" ] }, "1615": { "input": "coffee", "output": "café", "possible_translations": [ "café", "caféier" ] }, "1616": { "input": "scorer", "output": "buteur", "possible_translations": [ "buteur", "buteuse", "scoreur" ] }, "1617": { "input": "mask", "output": "masque", "possible_translations": [ "masque f", "masque" ] }, "1618": { "input": "effectiveness", "output": "efficacité", "possible_translations": [ "efficacité" ] }, "1619": { "input": "availability", "output": "disponibilité", "possible_translations": [ "disponibilité" ] }, "1620": { "input": "synthesis", "output": "synthèse", "possible_translations": [ "synthèse" ] }, "1621": { "input": "painter", "output": "peintre décorateur", "possible_translations": [ "peintresse décoratrice", "peintre décorateur", "peintre", "peintre décoratrice", "artiste peintre", "peintresse" ] }, "1622": { "input": "referendum", "output": "référendum", "possible_translations": [ "référendum" ] }, "1623": { "input": "basement", "output": "sous-sol", "possible_translations": [ "sous-sol" ] }, "1624": { "input": "judgment", "output": "jugement", "possible_translations": [ "verdict", "jugement", "jugement dernier", "sentence" ] }, "1625": { "input": "quest", "output": "quête", "possible_translations": [ "quête" ] }, "1626": { "input": "trap", "output": "piège", "possible_translations": [ "intercepter", "siphon", "piège", "traquenard", "souricière", "piéger attraper", "piéger", "gueule", "collet", "charrette anglaise", "trappe" ] }, "1627": { "input": "cream", "output": "crème", "possible_translations": [ "fleur", "crème de la crème", "onguent", "crème" ] }, "1628": { "input": "ballot", "output": "bulletin de vote", "possible_translations": [ "voter", "bulletin de vote", "bulletin" ] }, "1629": { "input": "performer", "output": "artiste", "possible_translations": [ "artiste" ] }, "1630": { "input": "adoption", "output": "adoption", "possible_translations": [ "adoption" ] }, "1631": { "input": "placement", "output": "placement", "possible_translations": [ "placement" ] }, "1632": { "input": "homage", "output": "hommage", "possible_translations": [ "hommage" ] }, "1633": { "input": "citizenship", "output": "citoyenneté", "possible_translations": [ "nationalité", "citoyenneté" ] }, "1634": { "input": "skiing", "output": "ski", "possible_translations": [ "ski" ] }, "1635": { "input": "regulation", "output": "règlement", "possible_translations": [ "réglementation", "règlement", "régulation" ] }, "1636": { "input": "mouse", "output": "souris", "possible_translations": [ "fureter", "souris" ] }, "1637": { "input": "countryside", "output": "campagne", "possible_translations": [ "campagne" ] }, "1638": { "input": "goalkeeper", "output": "gardien de but", "possible_translations": [ "portier", "gardienne", "gardienne de but", "goal", "gardien", "gardien de but", "portière" ] }, "1639": { "input": "cabin", "output": "cabine", "possible_translations": [ "cabine", "cabane" ] }, "1640": { "input": "colleague", "output": "confrère", "possible_translations": [ "confrère", "collègue" ] }, "1641": { "input": "receiver", "output": "récepteur", "possible_translations": [ "receveur", "destinataire", "récepteur", "receleur", "écouteur" ] }, "1642": { "input": "stomach", "output": "ventre", "possible_translations": [ "bedon", "ventre", "estomac", "digérer" ] }, "1643": { "input": "democracy", "output": "démocratie", "possible_translations": [ "démocratie" ] }, "1644": { "input": "dominance", "output": "dominance", "possible_translations": [ "dominance" ] }, "1645": { "input": "installment", "output": "installation", "possible_translations": [ "épisode", "installation", "au fur et à mesure" ] }, "1646": { "input": "throat", "output": "goulot", "possible_translations": [ "gorge", "goulot" ] }, "1647": { "input": "keyboard", "output": "clavier", "possible_translations": [ "clavier électronique", "clavier" ] }, "1648": { "input": "fortune", "output": "destin", "possible_translations": [ "fortune", "bonne chance", "destin" ] }, "1649": { "input": "correspondence", "output": "correspondance", "possible_translations": [ "correspondance" ] }, "1650": { "input": "diagnosis", "output": "diagnostic", "possible_translations": [ "diagnose", "diagnostic" ] }, "1651": { "input": "mud", "output": "boue", "possible_translations": [ "fange", "boue" ] }, "1652": { "input": "silence", "output": "silence", "possible_translations": [ "silence" ] }, "1653": { "input": "activist", "output": "activiste", "possible_translations": [ "militant", "activiste" ] }, "1654": { "input": "preservation", "output": "préservation", "possible_translations": [ "préservation" ] }, "1655": { "input": "businessman", "output": "homme d'affaires", "possible_translations": [ "businessman", "homme d'affaires" ] }, "1656": { "input": "commit", "output": "commit", "possible_translations": [ "commettre", "confier", "consigner", "commit", "s'engager", "remettre" ] }, "1657": { "input": "editorial", "output": "éditorial", "possible_translations": [ "éditorial" ] }, "1658": { "input": "cluster", "output": "groupe", "possible_translations": [ "groupe", "amas" ] }, "1659": { "input": "configuration", "output": "configuration", "possible_translations": [ "configuration" ] }, "1660": { "input": "complement", "output": "complète", "possible_translations": [ "complète", "compléter", "complémenter" ] }, "1661": { "input": "morale", "output": "enthousiasme", "possible_translations": [ "enthousiasme" ] }, "1662": { "input": "conductor", "output": "chef d'orchestre", "possible_translations": [ "chef d'orchestre", "conducteur" ] }, "1663": { "input": "plastic", "output": "plastique", "possible_translations": [ "plastique" ] }, "1664": { "input": "boarding", "output": "abordage", "possible_translations": [ "abordage", "embarquement" ] }, "1665": { "input": "trilogy", "output": "trilogie", "possible_translations": [ "trilogie" ] }, "1666": { "input": "fault", "output": "défaut", "possible_translations": [ "défaut", "faute", "faille" ] }, "1667": { "input": "unity", "output": "unité", "possible_translations": [ "unité" ] }, "1668": { "input": "immigration", "output": "immigration", "possible_translations": [ "immigration" ] }, "1669": { "input": "infant", "output": "nourrisson", "possible_translations": [ "nourrisson" ] }, "1670": { "input": "steering", "output": "direction", "possible_translations": [ "direction" ] }, "1671": { "input": "fever", "output": "fièvre", "possible_translations": [ "fièvre" ] }, "1672": { "input": "reward", "output": "récompense", "possible_translations": [ "récompenser", "récompense" ] }, "1673": { "input": "depot", "output": "dépôt", "possible_translations": [ "dépôt" ] }, "1674": { "input": "prominence", "output": "protubérance", "possible_translations": [ "protubérance" ] }, "1675": { "input": "tier", "output": "rang", "possible_translations": [ "rang" ] }, "1676": { "input": "inability", "output": "incapacité", "possible_translations": [ "incapacité" ] }, "1677": { "input": "lion", "output": "lion", "possible_translations": [ "Lion", "lionne", "lion" ] }, "1678": { "input": "thrust", "output": "poussée", "possible_translations": [ "poussée", "propulser", "estocade" ] }, "1679": { "input": "overtime", "output": "prolongation", "possible_translations": [ "prolongation", "heures supplémentaires" ] }, "1680": { "input": "fraud", "output": "fraude", "possible_translations": [ "charlatan", "imposteur", "fraude", "fraudeur" ] }, "1681": { "input": "graduation", "output": "graduation", "possible_translations": [ "graduation" ] }, "1682": { "input": "transformation", "output": "transformation", "possible_translations": [ "transformation" ] }, "1683": { "input": "finger", "output": "doigt", "possible_translations": [ "doigter", "tripoter", "doigt", "pointer" ] }, "1684": { "input": "filter", "output": "filtre", "possible_translations": [ "filtrer", "filtre" ] }, "1685": { "input": "spectrum", "output": "spectre", "possible_translations": [ "spectre" ] }, "1686": { "input": "sovereignty", "output": "souveraineté", "possible_translations": [ "souveraineté" ] }, "1687": { "input": "accommodation", "output": "accommodation", "possible_translations": [ "hébergement", "accommodation" ] }, "1688": { "input": "shortage", "output": "défaut", "possible_translations": [ "défaut", "déficit", "rareté", "insuffisance", "pénurie" ] }, "1689": { "input": "galaxy", "output": "galaxie", "possible_translations": [ "galaxie" ] }, "1690": { "input": "quantity", "output": "quantité", "possible_translations": [ "quantité" ] }, "1691": { "input": "funk", "output": "funk", "possible_translations": [ "funk" ] }, "1692": { "input": "blame", "output": "coupabilité", "possible_translations": [ "blâme", "reprocher", "blâmer", "coupabilité" ] }, "1693": { "input": "enthusiasm", "output": "enthousiasme", "possible_translations": [ "enthousiasme", "passion" ] }, "1694": { "input": "sentiment", "output": "sentiment", "possible_translations": [ "sentiment" ] }, "1695": { "input": "boom", "output": "boum", "possible_translations": [ "boum", "hausse", "bôme", "mat", "prospérer", "boom", "gui" ] }, "1696": { "input": "relay", "output": "relais", "possible_translations": [ "relais", "relai", "transmettre", "relayer" ] }, "1697": { "input": "recommendation", "output": "recommandation", "possible_translations": [ "recommandation" ] }, "1698": { "input": "strain", "output": "hérédité", "possible_translations": [ "souche", "race", "hérédité" ] }, "1699": { "input": "clearing", "output": "clairière", "possible_translations": [ "clairière" ] }, "1700": { "input": "array", "output": "tableau", "possible_translations": [ "tableau", "gamme" ] }, "1701": { "input": "propeller", "output": "hélice", "possible_translations": [ "hélice" ] }, "1702": { "input": "confrontation", "output": "confrontation", "possible_translations": [ "confrontation" ] }, "1703": { "input": "narrator", "output": "narrateur", "possible_translations": [ "narratrice", "narrateur" ] }, "1704": { "input": "nucleus", "output": "noyau", "possible_translations": [ "noyau" ] }, "1705": { "input": "pollution", "output": "pollution", "possible_translations": [ "défilement", "pollution" ] }, "1706": { "input": "heating", "output": "chauffage", "possible_translations": [ "chauffage", "chauffant" ] }, "1707": { "input": "dock", "output": "socle", "possible_translations": [ "socle", "darse" ] }, "1708": { "input": "pocket", "output": "poche", "possible_translations": [ "empocher", "de poche", "poche" ] }, "1709": { "input": "welfare", "output": "aide sociale", "possible_translations": [ "bien-être", "aide sociale" ] }, "1710": { "input": "spur", "output": "ergot", "possible_translations": [ "ergot", "éperonner", "éperon" ] }, "1711": { "input": "imagination", "output": "imagination", "possible_translations": [ "imagination" ] }, "1712": { "input": "anchor", "output": "ancre", "possible_translations": [ "ancre", "ancrer" ] }, "1713": { "input": "captive", "output": "captif", "possible_translations": [ "captif", "captive" ] }, "1714": { "input": "preference", "output": "préférence", "possible_translations": [ "préférence" ] }, "1715": { "input": "trout", "output": "truite", "possible_translations": [ "truite" ] }, "1716": { "input": "silk", "output": "soie", "possible_translations": [ "soie" ] }, "1717": { "input": "weakness", "output": "faiblesse", "possible_translations": [ "feblece", "point faible", "faiblesse", "faible" ] }, "1718": { "input": "viewer", "output": "visionneur", "possible_translations": [ "visionneur", "téléspectateur", "visionneuse", "spectateur" ] }, "1719": { "input": "disk", "output": "disque", "possible_translations": [ "disque" ] }, "1720": { "input": "breakdown", "output": "dégradation", "possible_translations": [ "collapse", "panne", "crise nerveuse", "dégradation", "crise de nerfs", "détail" ] }, "1721": { "input": "parade", "output": "défilé", "possible_translations": [ "défilé", "parade", "étalage" ] }, "1722": { "input": "platoon", "output": "peloton", "possible_translations": [ "peloton" ] }, "1723": { "input": "photographer", "output": "photographe", "possible_translations": [ "photographe" ] }, "1724": { "input": "dedication", "output": "dédicace", "possible_translations": [ "dédicace" ] }, "1725": { "input": "manufacturer", "output": "fabricant", "possible_translations": [ "fabricant" ] }, "1726": { "input": "calendar", "output": "calendrier", "possible_translations": [ "calendrier", "agenda", "programme", "emploi du temps" ] }, "1727": { "input": "medley", "output": "pot-pourri", "possible_translations": [ "pot-pourri", "mélange", "salade" ] }, "1728": { "input": "monitoring", "output": "surveillance", "possible_translations": [ "surveillance", "monitoring" ] }, "1729": { "input": "implementation", "output": "mise en œuvre", "possible_translations": [ "mise en œuvre" ] }, "1730": { "input": "deer", "output": "cerf", "possible_translations": [ "chevreuil", "cerf" ] }, "1731": { "input": "discrimination", "output": "discrimination", "possible_translations": [ "discrimination" ] }, "1732": { "input": "breast", "output": "poitrine", "possible_translations": [ "sein", "blanc", "poitrail", "poitrine" ] }, "1733": { "input": "concentrate", "output": "concentré", "possible_translations": [ "se concentrer", "concentrer", "concentré" ] }, "1734": { "input": "emotion", "output": "émotion", "possible_translations": [ "émotion" ] }, "1735": { "input": "freestyle", "output": "nage libre", "possible_translations": [ "nage libre" ] }, "1736": { "input": "grandmother", "output": "grand-mère", "possible_translations": [ "aïeule", "grand-mère" ] }, "1737": { "input": "marble", "output": "marbre", "possible_translations": [ "marbrer", "bille", "marbre" ] }, "1738": { "input": "guidance", "output": "conseils", "possible_translations": [ "conseils" ] }, "1739": { "input": "controller", "output": "contrôleur", "possible_translations": [ "contrôleur", "contrôleuse" ] }, "1740": { "input": "hometown", "output": "ville natale", "possible_translations": [ "ville natale" ] }, "1741": { "input": "slot", "output": "machine à sous", "possible_translations": [ "machine à sous", "emplacement", "barre", "fente" ] }, "1742": { "input": "mortality", "output": "mortalité", "possible_translations": [ "mortalité", "condition mortelle" ] }, "1743": { "input": "gospel", "output": "évangile", "possible_translations": [ "évangile" ] }, "1744": { "input": "coaster", "output": "caboteur", "possible_translations": [ "sous-verre", "caboteur" ] }, "1745": { "input": "statute", "output": "statut", "possible_translations": [ "statut" ] }, "1746": { "input": "accounting", "output": "comptabilité", "possible_translations": [ "comptabilité" ] }, "1747": { "input": "demolition", "output": "démolition", "possible_translations": [ "démolition" ] }, "1748": { "input": "farmland", "output": "terres agricoles", "possible_translations": [ "terres agricoles" ] }, "1749": { "input": "complexity", "output": "complexité", "possible_translations": [ "complexité" ] }, "1750": { "input": "recipient", "output": "receveur", "possible_translations": [ "personne gréffée", "receveur", "destinataire", "récipiendaire", "receveuse" ] }, "1751": { "input": "nurse", "output": "infirmière", "possible_translations": [ "donner le sein", "allaiter", "soigner", "nourrice", "infirmière", "infirmier" ] }, "1752": { "input": "interface", "output": "interface", "possible_translations": [ "interface" ] }, "1753": { "input": "manufacture", "output": "produit", "possible_translations": [ "manufacturer", "production", "produit", "fabriquer", "produire" ] }, "1754": { "input": "qualification", "output": "qualification", "possible_translations": [ "qualification" ] }, "1755": { "input": "cancellation", "output": "annulation", "possible_translations": [ "annulation" ] }, "1756": { "input": "helium", "output": "hélium", "possible_translations": [ "hélium" ] }, "1757": { "input": "violation", "output": "infraction", "possible_translations": [ "infraction" ] }, "1758": { "input": "discharge", "output": "débit", "possible_translations": [ "débit" ] }, "1759": { "input": "broadcasting", "output": "radiodiffusion", "possible_translations": [ "radiodiffusion", "émission" ] }, "1760": { "input": "bedroom", "output": "chambre", "possible_translations": [ "chambre", "chambre à coucher", "piaule" ] }, "1761": { "input": "tackle", "output": "tacle plaquage", "possible_translations": [ "tacler", "tacle plaquage", "combattre", "affronter", "plaquer" ] }, "1762": { "input": "ancestor", "output": "ancêtre", "possible_translations": [ "ancêtre" ] }, "1763": { "input": "premise", "output": "prémisse", "possible_translations": [ "local", "prémisse" ] }, "1764": { "input": "trace", "output": "trace", "possible_translations": [ "tracer", "calquer", "trace" ] }, "1765": { "input": "offspring", "output": "descendance", "possible_translations": [ "postérité", "enfant", "progéniture", "descendance", "enfance", "enfants" ] }, "1766": { "input": "perimeter", "output": "périmètre", "possible_translations": [ "périmètre" ] }, "1767": { "input": "oxide", "output": "oxyde", "possible_translations": [ "oxyde" ] }, "1768": { "input": "nitrogen", "output": "azote", "possible_translations": [ "azote" ] }, "1769": { "input": "dioxide", "output": "dioxyde", "possible_translations": [ "dioxyde" ] }, "1770": { "input": "auction", "output": "enchères", "possible_translations": [ "enchères", "vente aux enchères" ] }, "1771": { "input": "defender", "output": "défenseur", "possible_translations": [ "défenseur" ] }, "1772": { "input": "yield", "output": "rendement", "possible_translations": [ "rendement", "rapporter", "céder", "laisser passer", "retourner", "se rendre", "capituler" ] }, "1773": { "input": "kit", "output": "lapereau", "possible_translations": [ "nécessaire", "équipement", "lapereau", "jeu" ] }, "1774": { "input": "courage", "output": "courage", "possible_translations": [ "courage" ] }, "1775": { "input": "livestock", "output": "bétail", "possible_translations": [ "bétail" ] }, "1776": { "input": "starter", "output": "starter", "possible_translations": [ "hors d'œuvre", "starter" ] }, "1777": { "input": "patent", "output": "brevet", "possible_translations": [ "brevet" ] }, "1778": { "input": "mortar", "output": "mortier", "possible_translations": [ "mortier" ] }, "1779": { "input": "plumage", "output": "plumage", "possible_translations": [ "plume", "plumage" ] }, "1780": { "input": "isolation", "output": "isolation", "possible_translations": [ "isolation", "isolement" ] }, "1781": { "input": "particle", "output": "particule", "possible_translations": [ "particule" ] }, "1782": { "input": "aesthetic", "output": "esthétique", "possible_translations": [ "esthétique" ] }, "1783": { "input": "patch", "output": "patch", "possible_translations": [ "patch" ] }, "1784": { "input": "feedback", "output": "évaluation", "possible_translations": [ "effet Larsen", "rétroaction", "évaluation" ] }, "1785": { "input": "brass", "output": "laiton", "possible_translations": [ "douille", "cuivres", "laiton", "en laiton", "galonnés", "couleur de laiton" ] }, "1786": { "input": "ballet", "output": "ballet", "possible_translations": [ "ballet" ] }, "1787": { "input": "hiatus", "output": "hiatus", "possible_translations": [ "hiatus", "lacune" ] }, "1788": { "input": "orientation", "output": "orientation", "possible_translations": [ "orientation" ] }, "1789": { "input": "stunt", "output": "cascade", "possible_translations": [ "coup publicitaire", "cascade", "acrobatie" ] }, "1790": { "input": "cooking", "output": "cuisine", "possible_translations": [ "cuisine", "tambouille" ] }, "1791": { "input": "corporation", "output": "corporation", "possible_translations": [ "corporation", "société" ] }, "1792": { "input": "breach", "output": "infraction", "possible_translations": [ "violation", "brèche", "brouille", "infraction" ] }, "1793": { "input": "slope", "output": "pente", "possible_translations": [ "pente", "inclinaison" ] }, "1794": { "input": "instructor", "output": "instructeur", "possible_translations": [ "instructeur" ] }, "1795": { "input": "wrestler", "output": "lutteur", "possible_translations": [ "lutteur" ] }, "1796": { "input": "wildlife", "output": "nature", "possible_translations": [ "nature", "environnement", "flore", "faune" ] }, "1797": { "input": "alert", "output": "alarme", "possible_translations": [ "alarme", "alerte" ] }, "1798": { "input": "makeup", "output": "constitution", "possible_translations": [ "maquillage", "constitution" ] }, "1799": { "input": "ramp", "output": "rampe", "possible_translations": [ "ramper", "passerelle", "rampe" ] }, "1800": { "input": "kilometre", "output": "kilomètre", "possible_translations": [ "kilomètre" ] }, "1801": { "input": "senator", "output": "sénateur", "possible_translations": [ "sénatrice", "sénateur" ] }, "1802": { "input": "nominee", "output": "candidat", "possible_translations": [ "candidate", "candidat" ] }, "1803": { "input": "triangle", "output": "triangle", "possible_translations": [ "triangle" ] }, "1804": { "input": "ghost", "output": "fantôme", "possible_translations": [ "revenant", "apparition", "fantôme", "fantasme", "spectre", "esprit" ] }, "1805": { "input": "shadow", "output": "ombre", "possible_translations": [ "ombre", "filer", "prendre en filature" ] }, "1806": { "input": "resemblance", "output": "ressemblance", "possible_translations": [ "comparaison", "probabilité", "ressemblance" ] }, "1807": { "input": "servant", "output": "domestique", "possible_translations": [ "servante", "serviteur", "domestique" ] }, "1808": { "input": "diesel", "output": "diésel", "possible_translations": [ "gazole", "diésel" ] }, "1809": { "input": "filling", "output": "plombage", "possible_translations": [ "plombage" ] }, "1810": { "input": "lunch", "output": "déjeuner", "possible_translations": [ "dîner", "déjeuner", "lunch", "prendre déjeuner", "luncher" ] }, "1811": { "input": "comedian", "output": "humoriste", "possible_translations": [ "humoriste", "comique" ] }, "1812": { "input": "elimination", "output": "élimination", "possible_translations": [ "élimination" ] }, "1813": { "input": "outfit", "output": "maison", "possible_translations": [ "complet", "tenue", "nécessaire", "costume", "maison" ] }, "1814": { "input": "canon", "output": "canon", "possible_translations": [ "chanoine", "canon" ] }, "1815": { "input": "caution", "output": "admonition", "possible_translations": [ "mise en garde", "admonition", "précaution", "avertir", "avertissement" ] }, "1816": { "input": "teenager", "output": "adolescent", "possible_translations": [ "adolescente", "adolescent" ] }, "1817": { "input": "similarity", "output": "similarité", "possible_translations": [ "similarité", "similitude" ] }, "1818": { "input": "poster", "output": "affiche", "possible_translations": [ "poster", "affiche" ] }, "1819": { "input": "log", "output": "bûche", "possible_translations": [ "inscrire un évènement dans un journal", "tronc", "ajouter un évènement dans un journal", "souche", "couper", "abattre", "billot", "bûche" ] }, "1820": { "input": "ancestry", "output": "ascendance", "possible_translations": [ "ascendance" ] }, "1821": { "input": "realism", "output": "réalisme", "possible_translations": [ "réalisme" ] }, "1822": { "input": "dragon", "output": "dragon", "possible_translations": [ "dragon", "vouivre" ] }, "1823": { "input": "patronage", "output": "clientèle", "possible_translations": [ "clientèle", "clientélisme", "soutien", "patronage" ] }, "1824": { "input": "shipyard", "output": "chantier naval", "possible_translations": [ "chantier naval" ] }, "1825": { "input": "entity", "output": "entité", "possible_translations": [ "entité" ] }, "1826": { "input": "soccer", "output": "football", "possible_translations": [ "soccer", "football" ] }, "1827": { "input": "deadline", "output": "date butoir", "possible_translations": [ "date limite", "échéance", "date butoir" ] }, "1828": { "input": "enzyme", "output": "enzyme", "possible_translations": [ "enzyme" ] }, "1829": { "input": "powder", "output": "poudre", "possible_translations": [ "poudrer", "se pulvériser", "réduire en poudre", "poudreuse", "poudre", "pulvériser", "se poudrer", "se réduire en poudre", "saupoudrer", "se repoudrer" ] }, "1830": { "input": "drunk", "output": "ivrogne", "possible_translations": [ "ivre", "paqueté", "bourré", "saoul", "ivrogne" ] }, "1831": { "input": "insect", "output": "insecte", "possible_translations": [ "insecte" ] }, "1832": { "input": "biology", "output": "biologie", "possible_translations": [ "biologie" ] }, "1833": { "input": "counterpart", "output": "homologue", "possible_translations": [ "contre-partie", "duplicat", "homologue", "équivalent", "pendant" ] }, "1834": { "input": "cloth", "output": "tissu", "possible_translations": [ "étoffe", "tenue", "tissu" ] }, "1835": { "input": "supervision", "output": "supervision", "possible_translations": [ "supervision", "surveillance" ] }, "1836": { "input": "climax", "output": "apogée", "possible_translations": [ "jouissance", "apogée" ] }, "1837": { "input": "sitcom", "output": "comédie de situation", "possible_translations": [ "sitcom", "comédie de situation" ] }, "1838": { "input": "unrest", "output": "agitation", "possible_translations": [ "agitation" ] }, "1839": { "input": "abundance", "output": "abondance", "possible_translations": [ "abondance" ] }, "1840": { "input": "deity", "output": "déité", "possible_translations": [ "déité", "divinité" ] }, "1841": { "input": "horn", "output": "corne", "possible_translations": [ "klaxon", "cor", "corne" ] }, "1842": { "input": "spore", "output": "spore", "possible_translations": [ "spore" ] }, "1843": { "input": "complaint", "output": "plainte", "possible_translations": [ "réclamation", "plainte" ] }, "1844": { "input": "prose", "output": "prose", "possible_translations": [ "prose" ] }, "1845": { "input": "constituency", "output": "circonscription électorale", "possible_translations": [ "circonscription électorale", "circonscription" ] }, "1846": { "input": "beta", "output": "bêta", "possible_translations": [ "bêta" ] }, "1847": { "input": "humour", "output": "humour", "possible_translations": [ "humour", "amadouer", "disposition", "humeur" ] }, "1848": { "input": "stake", "output": "pieu", "possible_translations": [ "jalon", "pal", "tuteur", "enjeu", "pieu", "mise" ] }, "1849": { "input": "deficit", "output": "déficit budgétaire", "possible_translations": [ "déficit", "déficit budgétaire" ] }, "1850": { "input": "collector", "output": "collecteur", "possible_translations": [ "encaisseur", "percepteur", "collectionneur", "collectionneuse", "collecteur" ] }, "1851": { "input": "integration", "output": "intégration", "possible_translations": [ "intégration" ] }, "1852": { "input": "pride", "output": "fierté", "possible_translations": [ "orgueil", "fierté" ] }, "1853": { "input": "coronation", "output": "couronnement", "possible_translations": [ "couronnement" ] }, "1854": { "input": "comeback", "output": "repartie", "possible_translations": [ "repartie" ] }, "1855": { "input": "mob", "output": "foule", "possible_translations": [ "troupeau", "foule", "cohue" ] }, "1856": { "input": "registration", "output": "enregistrement", "possible_translations": [ "enregistrement" ] }, "1857": { "input": "button", "output": "bouton", "possible_translations": [ "bouton", "bourgeon", "badge", "boutonner", "macaron", "clou" ] }, "1858": { "input": "shooter", "output": "flingue", "possible_translations": [ "jeu de fusillade", "tireur", "flingue" ] }, "1859": { "input": "renovation", "output": "rénovation", "possible_translations": [ "rénovation" ] }, "1860": { "input": "warrant", "output": "mandat de conformité", "possible_translations": [ "mandat de conformité", "mandat" ] }, "1861": { "input": "terrorist", "output": "terroriste", "possible_translations": [ "terroriste" ] }, "1862": { "input": "reactor", "output": "réactif", "possible_translations": [ "réacteur", "réactif" ] }, "1863": { "input": "lecture", "output": "conférence", "possible_translations": [ "donner une conférence", "gronder", "faire la leçon", "donner un cours magistral", "conférence", "cours magistral" ] }, "1864": { "input": "calcium", "output": "calcium", "possible_translations": [ "calcium" ] }, "1865": { "input": "hub", "output": "moyeu", "possible_translations": [ "hub", "moyeu", "centre", "pôle", "concentrateur" ] }, "1866": { "input": "framework", "output": "charpente", "possible_translations": [ "structure", "cadre", "charpente", "carcasse" ] }, "1867": { "input": "tragedy", "output": "tragédie", "possible_translations": [ "tragédie" ] }, "1868": { "input": "recall", "output": "rappel", "possible_translations": [ "se rappeler", "se remémorer", "rappeler", "se souvenir", "rappel" ] }, "1869": { "input": "implement", "output": "instrument", "possible_translations": [ "instrument", "appliquer", "établir", "exécuter" ] }, "1870": { "input": "client", "output": "client", "possible_translations": [ "client" ] }, "1871": { "input": "embassy", "output": "ambassade", "possible_translations": [ "ambassade" ] }, "1872": { "input": "knife", "output": "couteau", "possible_translations": [ "couteau", "frapper d'un coup de couteau" ] }, "1873": { "input": "consultant", "output": "consultant", "possible_translations": [ "consultante", "consultant" ] }, "1874": { "input": "pyramid", "output": "pyramide", "possible_translations": [ "pyramide" ] }, "1875": { "input": "drag", "output": "taffe", "possible_translations": [ "taffe", "trainée", "traîner" ] }, "1876": { "input": "continuation", "output": "continuation", "possible_translations": [ "continuation" ] }, "1877": { "input": "shed", "output": "hangar", "possible_translations": [ "séparer", "hangar", "baraque", "verser" ] }, "1878": { "input": "corn", "output": "cor", "possible_translations": [ "cor" ] }, "1879": { "input": "thirteenth", "output": "treizième", "possible_translations": [ "treizième ; treize", "treizième" ] }, "1880": { "input": "rope", "output": "corde", "possible_translations": [ "corde", "cordage" ] }, "1881": { "input": "monsoon", "output": "mousson", "possible_translations": [ "mousson" ] }, "1882": { "input": "barrel", "output": "tonneau", "possible_translations": [ "baril", "barillet", "barrique", "canon", "tonneau" ] }, "1883": { "input": "gravel", "output": "graviers", "possible_translations": [ "graviers", "gravillons" ] }, "1884": { "input": "fuselage", "output": "fuselage", "possible_translations": [ "fuselage" ] }, "1885": { "input": "membrane", "output": "membrane", "possible_translations": [ "membrane" ] }, "1886": { "input": "merchandise", "output": "marchandise", "possible_translations": [ "marchandise" ] }, "1887": { "input": "cure", "output": "traitement", "possible_translations": [ "soigner", "traitement", "guérir" ] }, "1888": { "input": "mentor", "output": "mentor", "possible_translations": [ "mentor" ] }, "1889": { "input": "dancer", "output": "danseur", "possible_translations": [ "danseuse", "danseur" ] }, "1890": { "input": "spy", "output": "espion", "possible_translations": [ "espionne", "espionner", "espion" ] }, "1891": { "input": "abbey", "output": "abbaye", "possible_translations": [ "abbaye" ] }, "1892": { "input": "motif", "output": "motif", "possible_translations": [ "motif" ] }, "1893": { "input": "reservoir", "output": "réservoir", "possible_translations": [ "réservoir" ] }, "1894": { "input": "bankruptcy", "output": "faillite", "possible_translations": [ "banqueroute", "faillite" ] }, "1895": { "input": "guilt", "output": "sentiment de culpabilité", "possible_translations": [ "culpabilité", "sentiment de culpabilité" ] }, "1896": { "input": "tobacco", "output": "tabac", "possible_translations": [ "tabac" ] }, "1897": { "input": "fitness", "output": "fitness", "possible_translations": [ "fitness" ] }, "1898": { "input": "decoration", "output": "décoration", "possible_translations": [ "décoration" ] }, "1899": { "input": "consumer", "output": "consommateur", "possible_translations": [ "consommateur" ] }, "1900": { "input": "storey", "output": "étage", "possible_translations": [ "étage" ] }, "1901": { "input": "gambling", "output": "jeux de hasard", "possible_translations": [ "pari", "jeux de hasard" ] }, "1902": { "input": "ankle", "output": "cheville", "possible_translations": [ "cheville" ] }, "1903": { "input": "vinyl", "output": "vinyle", "possible_translations": [ "disque vinyle", "vinyle" ] }, "1904": { "input": "submission", "output": "soumission", "possible_translations": [ "soumission" ] }, "1905": { "input": "visibility", "output": "visibilité", "possible_translations": [ "visibilité" ] }, "1906": { "input": "mobility", "output": "mobilité", "possible_translations": [ "mobilité" ] }, "1907": { "input": "propulsion", "output": "propulsion", "possible_translations": [ "propulsion" ] }, "1908": { "input": "furniture", "output": "mobilier", "possible_translations": [ "meuble", "mobilier" ] }, "1909": { "input": "melting", "output": "fusion", "possible_translations": [ "fusion" ] }, "1910": { "input": "inspection", "output": "inspection", "possible_translations": [ "inspection" ] }, "1911": { "input": "luxury", "output": "luxe", "possible_translations": [ "luxe" ] }, "1912": { "input": "sprint", "output": "sprint", "possible_translations": [ "sprint" ] }, "1913": { "input": "predator", "output": "prédateur", "possible_translations": [ "prédateur" ] }, "1914": { "input": "interact", "output": "entr’acte", "possible_translations": [ "entr’acte", "interagir" ] }, "1915": { "input": "fog", "output": "brouillard", "possible_translations": [ "voile", "brume", "brouillard" ] }, "1916": { "input": "relegation", "output": "relégation", "possible_translations": [ "relégation" ] }, "1917": { "input": "sink", "output": "évier", "possible_translations": [ "s'enfoncer", "couler", "évier" ] }, "1918": { "input": "shrine", "output": "sanctuaire", "possible_translations": [ "sanctuaire", "lieu saint", "châsse" ] }, "1919": { "input": "precursor", "output": "réactif", "possible_translations": [ "réactif", "précurseur" ] }, "1920": { "input": "ecology", "output": "écologie", "possible_translations": [ "écologie" ] }, "1921": { "input": "plug", "output": "bouchon", "possible_translations": [ "boucher", "bouchon", "bourrer", "fiche", "fermer" ] }, "1922": { "input": "liberty", "output": "liberté", "possible_translations": [ "liberté" ] }, "1923": { "input": "replica", "output": "réplique", "possible_translations": [ "copie exacte", "réplique" ] }, "1924": { "input": "gale", "output": "coup de vent", "possible_translations": [ "coup de vent" ] }, "1925": { "input": "ministry", "output": "ministère", "possible_translations": [ "cabinet", "ministère du culte", "gouvernement", "ministère" ] }, "1926": { "input": "pipe", "output": "pipe", "possible_translations": [ "cornemuse", "conduit", "pipe", "tuyau" ] }, "1927": { "input": "counsel", "output": "conseil", "possible_translations": [ "projet", "plan", "expertise", "conseiller", "conseil" ] }, "1928": { "input": "latitude", "output": "latitude", "possible_translations": [ "latitude", "parallèle" ] }, "1929": { "input": "reproduction", "output": "reproduction", "possible_translations": [ "reproduction" ] }, "1930": { "input": "unemployment", "output": "chômage", "possible_translations": [ "chômage" ] }, "1931": { "input": "duck", "output": "canard", "possible_translations": [ "plonger", "canard", "cane", "baisser", "esquiver" ] }, "1932": { "input": "farmer", "output": "agriculteur", "possible_translations": [ "agriculteur", "cultivateur", "fermier", "agricultrice", "fermière", "cultivatrice" ] }, "1933": { "input": "recreation", "output": "récréation", "possible_translations": [ "récréation" ] }, "1934": { "input": "accent", "output": "accent", "possible_translations": [ "accent", "accentuer" ] }, "1935": { "input": "cage", "output": "cage", "possible_translations": [ "cage", "encager" ] }, "1936": { "input": "maneuver", "output": "manœuvre", "possible_translations": [ "manœuvrer", "manœuvre" ] }, "1937": { "input": "utility", "output": "utilité", "possible_translations": [ "utilité", "utilitaire" ] }, "1938": { "input": "moisture", "output": "humidité", "possible_translations": [ "humidité" ] }, "1939": { "input": "bread", "output": "pain", "possible_translations": [ "blé", "pain", "fric", "paner" ] }, "1940": { "input": "harmony", "output": "harmonie", "possible_translations": [ "harmonie" ] }, "1941": { "input": "carriage", "output": "wagon", "possible_translations": [ "voiture", "wagon", "carrosse" ] }, "1942": { "input": "morality", "output": "moralité", "possible_translations": [ "moralité" ] }, "1943": { "input": "academy", "output": "académie", "possible_translations": [ "académie" ] }, "1944": { "input": "reunion", "output": "réunion", "possible_translations": [ "réunification", "réunion", "rassemblement" ] }, "1945": { "input": "ideology", "output": "idéologie", "possible_translations": [ "idéologie" ] }, "1946": { "input": "censorship", "output": "censure", "possible_translations": [ "censure" ] }, "1947": { "input": "isotope", "output": "isotope", "possible_translations": [ "isotope" ] }, "1948": { "input": "outflow", "output": "sortie", "possible_translations": [ "sortie" ] }, "1949": { "input": "turnpike", "output": "route à péage", "possible_translations": [ "route à péage" ] }, "1950": { "input": "prosperity", "output": "prospérité", "possible_translations": [ "prospérité" ] }, "1951": { "input": "suspicion", "output": "suspicion", "possible_translations": [ "soupçon", "suspicion" ] }, "1952": { "input": "suite", "output": "suite", "possible_translations": [ "suite" ] }, "1953": { "input": "poison", "output": "poison", "possible_translations": [ "empoisonner", "poison" ] }, "1954": { "input": "courtyard", "output": "cour", "possible_translations": [ "cour" ] }, "1955": { "input": "coinage", "output": "frappe", "possible_translations": [ "frappe" ] }, "1956": { "input": "indication", "output": "indication", "possible_translations": [ "indication" ] }, "1957": { "input": "dinosaur", "output": "dinosaure", "possible_translations": [ "dinosaure" ] }, "1958": { "input": "resource", "output": "ressource", "possible_translations": [ "ressource" ] }, "1959": { "input": "equality", "output": "égalité", "possible_translations": [ "égalité" ] }, "1960": { "input": "choreography", "output": "chorégraphie", "possible_translations": [ "chorégraphie" ] }, "1961": { "input": "abortion", "output": "avortement", "possible_translations": [ "interruption volontaire de grossesse", "avorton", "fausse couche", "avortement", "IVG" ] }, "1962": { "input": "constellation", "output": "constellation", "possible_translations": [ "constellation" ] }, "1963": { "input": "supervisor", "output": "superviseur", "possible_translations": [ "superviseur" ] }, "1964": { "input": "granite", "output": "granite", "possible_translations": [ "granit", "granite" ] }, "1965": { "input": "superiority", "output": "supériorité", "possible_translations": [ "supériorité" ] }, "1966": { "input": "icon", "output": "icône", "possible_translations": [ "icône", "icon" ] }, "1967": { "input": "menu", "output": "carte", "possible_translations": [ "carte", "menu" ] }, "1968": { "input": "alpha", "output": "alpha", "possible_translations": [ "alpha" ] }, "1969": { "input": "persecution", "output": "persécution", "possible_translations": [ "persécution" ] }, "1970": { "input": "wolf", "output": "loup", "possible_translations": [ "engloutir", "dévorer", "loup", "tombeur" ] }, "1971": { "input": "occurrence", "output": "occurrence", "possible_translations": [ "occurrence" ] }, "1972": { "input": "swim", "output": "natation", "possible_translations": [ "nager", "natation" ] }, "1973": { "input": "slide", "output": "glissade", "possible_translations": [ "glissade", "toboggan", "lame", "diapositive", "glissière", "glisser", "diapo", "coulisse", "glissoire", "glissement de terrain", "glissement" ] }, "1974": { "input": "cockpit", "output": "cabine de pilotage", "possible_translations": [ "cabine de pilotage", "cockpit" ] }, "1975": { "input": "elephant", "output": "éléphantesque", "possible_translations": [ "éléphantelle", "éléphant", "éléphantesque", "éléphante", "éléphanteau" ] }, "1976": { "input": "novelist", "output": "romancier", "possible_translations": [ "romancier" ] }, "1977": { "input": "accession", "output": "accession", "possible_translations": [ "accession" ] }, "1978": { "input": "verdict", "output": "verdict", "possible_translations": [ "verdict" ] }, "1979": { "input": "wage", "output": "salaire", "possible_translations": [ "salaire", "mener" ] }, "1980": { "input": "bottle", "output": "bouteille", "possible_translations": [ "nourrir au biberon", "mettre en bouteille", "culot", "embouteiller", "donner le biberon à", "bouteille" ] }, "1981": { "input": "backdrop", "output": "contexte", "possible_translations": [ "décor", "toile de fond", "contexte" ] }, "1982": { "input": "dissolution", "output": "dissolution", "possible_translations": [ "dissolution" ] }, "1983": { "input": "fiscal", "output": "budgétaire", "possible_translations": [ "budgétaire" ] }, "1984": { "input": "jacket", "output": "veste", "possible_translations": [ "veste", "jaquette", "couverture" ] }, "1985": { "input": "pianist", "output": "pianiste", "possible_translations": [ "pianiste" ] }, "1986": { "input": "ambush", "output": "embuscade", "possible_translations": [ "embuscade" ] }, "1987": { "input": "blog", "output": "blog", "possible_translations": [ "faire du blogging", "bloguer", "blog", "blogue" ] }, "1988": { "input": "bag", "output": "sac", "possible_translations": [ "poche", "sachet", "ensacher", "sac" ] }, "1989": { "input": "emergence", "output": "émergence", "possible_translations": [ "émergence" ] }, "1990": { "input": "foul", "output": "faute", "possible_translations": [ "faute", "souillé" ] }, "1991": { "input": "update", "output": "mise à jour", "possible_translations": [ "actualiser", "mettre au courant", "mise à jour", "mettre à jour", "updater" ] }, "1992": { "input": "potassium", "output": "potassium", "possible_translations": [ "potassium" ] }, "1993": { "input": "innovation", "output": "innovation", "possible_translations": [ "innovation" ] }, "1994": { "input": "fairy", "output": "tapette", "possible_translations": [ "tapette", "fée" ] }, "1995": { "input": "nobody", "output": "moins-que-rien", "possible_translations": [ "moins-que-rien" ] }, "1996": { "input": "plasma", "output": "plasma", "possible_translations": [ "plasma" ] }, "1997": { "input": "coral", "output": "corail", "possible_translations": [ "corail" ] }, "1998": { "input": "camouflage", "output": "camouflage", "possible_translations": [ "camouflage", "déguisement", "camoufler", "camouflage ; déguisement" ] }, "1999": { "input": "cooling", "output": "refroidissement", "possible_translations": [ "refroidissement" ] }, "2000": { "input": "spokesman", "output": "porte-parole", "possible_translations": [ "porte-parole" ] }, "2001": { "input": "treasure", "output": "trésor", "possible_translations": [ "priser", "trésor", "garder précieusement" ] }, "2002": { "input": "spider", "output": "araignée", "possible_translations": [ "araignée" ] }, "2003": { "input": "defendant", "output": "inculpé", "possible_translations": [ "inculpé", "défendeur" ] }, "2004": { "input": "autonomy", "output": "autonomie", "possible_translations": [ "autonomie" ] }, "2005": { "input": "spiral", "output": "spirale", "possible_translations": [ "spirale" ] }, "2006": { "input": "certification", "output": "certification", "possible_translations": [ "certification" ] }, "2007": { "input": "funnel", "output": "entonnoir", "possible_translations": [ "", "canaliser", "utiliser un entonnoir", "cheminée", "entonnoir", "faire circuler des resources ou de l'argent" ] }, "2008": { "input": "pose", "output": "pose", "possible_translations": [ "constituer", "mettre", "poser", "représenter", "pose" ] }, "2009": { "input": "ditch", "output": "fossé", "possible_translations": [ "sécher", "tranchée", "laisser tomber", "larguer", "fossé", "se débarrasser de", "faire l'école buissonnière", "rigole", "abandonner" ] }, "2010": { "input": "texture", "output": "texture", "possible_translations": [ "texture" ] }, "2011": { "input": "virtue", "output": "vertu", "possible_translations": [ "vertu" ] }, "2012": { "input": "treason", "output": "trahison", "possible_translations": [ "trahison" ] }, "2013": { "input": "grace", "output": "grâce", "possible_translations": [ "bénédicité", "grâce", "miséricorde", "grâces" ] }, "2014": { "input": "inflation", "output": "inflation", "possible_translations": [ "inflation" ] }, "2015": { "input": "contributor", "output": "contributeur", "possible_translations": [ "soumissionnaire", "contributeur" ] }, "2016": { "input": "oxidation", "output": "oxydation", "possible_translations": [ "oxydation" ] }, "2017": { "input": "pet", "output": "chouchou", "possible_translations": [ "se peloter", "chouchou", "caresser", "peloter", "animal de compagnie", "animal familier" ] }, "2018": { "input": "hunter", "output": "chasseur", "possible_translations": [ "chercheuse", "chien de chasse", "chercheur", "cheval de chasse", "chasseur" ] }, "2019": { "input": "drought", "output": "sécheresse", "possible_translations": [ "sécheresse" ] }, "2020": { "input": "conscience", "output": "conscience", "possible_translations": [ "conscience" ] }, "2021": { "input": "theology", "output": "théologie", "possible_translations": [ "théologie" ] }, "2022": { "input": "trunk", "output": "trompe", "possible_translations": [ "malle", "coffre", "tronc", "valise", "trompe" ] }, "2023": { "input": "sodium", "output": "sodium", "possible_translations": [ "sodium" ] }, "2024": { "input": "ambition", "output": "ambition", "possible_translations": [ "ambition" ] }, "2025": { "input": "customer", "output": "client", "possible_translations": [ "client" ] }, "2026": { "input": "mercury", "output": "mercure", "possible_translations": [ "mercure" ] }, "2027": { "input": "aggression", "output": "aggression", "possible_translations": [ "aggression" ] }, "2028": { "input": "vector", "output": "vecteur", "possible_translations": [ "vecteur" ] }, "2029": { "input": "columnist", "output": "chroniqueur", "possible_translations": [ "chroniqueur" ] }, "2030": { "input": "advisor", "output": "conseiller", "possible_translations": [ "conseiller" ] }, "2031": { "input": "sponsor", "output": "sponsor", "possible_translations": [ "sponsor" ] }, "2032": { "input": "conception", "output": "conception", "possible_translations": [ "conception" ] }, "2033": { "input": "continuity", "output": "continuité", "possible_translations": [ "continuité" ] }, "2034": { "input": "plantation", "output": "plantation", "possible_translations": [ "plantation" ] }, "2035": { "input": "habit", "output": "habitude", "possible_translations": [ "uniforme", "habitude", "costume", "habiller", "habit" ] }, "2036": { "input": "outline", "output": "contour", "possible_translations": [ "résumé", "ébauche", "esquisse", "synopsis", "contour", "silhouette", "résumer", "entourer", "aperçu", "esquisser" ] }, "2037": { "input": "staging", "output": "mise en scène", "possible_translations": [ "mise en scène" ] }, "2038": { "input": "surgeon", "output": "chirurgien", "possible_translations": [ "chirurgien", "chirurgienne" ] }, "2039": { "input": "bite", "output": "morsure", "possible_translations": [ "piquer", "morsure", "bouchée", "piqûre", "mordre" ] }, "2040": { "input": "keeper", "output": "conservateur", "possible_translations": [ "conservateur", "gâche", "gardienne de but", "passant", "gardien", "gardien de but", "arrêtoir", "conservateure" ] }, "2041": { "input": "agenda", "output": "planning", "possible_translations": [ "planning" ] }, "2042": { "input": "devotion", "output": "dévouement", "possible_translations": [ "dévouement" ] }, "2043": { "input": "pin", "output": "clouage", "possible_translations": [ "pin's", "épingler", "épingle", "broche", "clouage", "quille", "épinglette", "clouer" ] }, "2044": { "input": "ladder", "output": "échelle", "possible_translations": [ "échelle" ] }, "2045": { "input": "comfort", "output": "confort", "possible_translations": [ "consoler", "confort" ] }, "2046": { "input": "modification", "output": "modification", "possible_translations": [ "modification" ] }, "2047": { "input": "rehearsal", "output": "répétition", "possible_translations": [ "répétition" ] }, "2048": { "input": "archipelago", "output": "archipel", "possible_translations": [ "archipel" ] }, "2049": { "input": "psychology", "output": "psychologie", "possible_translations": [ "psychologie" ] }, "2050": { "input": "supplement", "output": "supplément", "possible_translations": [ "supplément" ] }, "2051": { "input": "bicycle", "output": "vélo", "possible_translations": [ "vélo", "bicyclette", "faire de la bicyclette", "faire du vélo", "rouler à vélo" ] }, "2052": { "input": "homosexuality", "output": "homosexualité", "possible_translations": [ "homosexualité" ] }, "2053": { "input": "sympathy", "output": "sympathie", "possible_translations": [ "sympathie", "condoléance", "compassion" ] }, "2054": { "input": "disagreement", "output": "désaccord", "possible_translations": [ "désaccord" ] }, "2055": { "input": "fixture", "output": "luminaire", "possible_translations": [ "luminaire" ] }, "2056": { "input": "corpse", "output": "cadavre", "possible_translations": [ "cadavre" ] }, "2057": { "input": "fare", "output": "tarif", "possible_translations": [ "passager", "prix", "tarif" ] }, "2058": { "input": "bullet", "output": "balle", "possible_translations": [ "balle", "puce" ] }, "2059": { "input": "lighthouse", "output": "phare", "possible_translations": [ "phare" ] }, "2060": { "input": "joy", "output": "joie", "possible_translations": [ "joie" ] }, "2061": { "input": "allegiance", "output": "fidélité", "possible_translations": [ "allégeance", "fidélité", "loyauté" ] }, "2062": { "input": "wheat", "output": "blé", "possible_translations": [ "blé", "froment" ] }, "2063": { "input": "rehabilitation", "output": "réhabilitation", "possible_translations": [ "réhabilitation" ] }, "2064": { "input": "slip", "output": "glissade", "possible_translations": [ "glissade", "barbotine", "glisser", "faire passer", "se tromper", "faire erreur", "fiche", "empirer" ] }, "2065": { "input": "decree", "output": "décret", "possible_translations": [ "ordonnance", "décret" ] }, "2066": { "input": "employer", "output": "employeur", "possible_translations": [ "employeur", "employeuse" ] }, "2067": { "input": "twist", "output": "torsion", "possible_translations": [ "entortiller", "twist", "torsion", "tordre" ] }, "2068": { "input": "cope", "output": "chape", "possible_translations": [ "se débrouiller", "faire face", "chape" ] }, "2069": { "input": "repertoire", "output": "répertoire", "possible_translations": [ "répertoire" ] }, "2070": { "input": "surveillance", "output": "surveillance", "possible_translations": [ "surveillance" ] }, "2071": { "input": "folklore", "output": "folklore", "possible_translations": [ "folklore" ] }, "2072": { "input": "athletics", "output": "athlétisme", "possible_translations": [ "athlétisme" ] }, "2073": { "input": "equation", "output": "équation", "possible_translations": [ "équation" ] }, "2074": { "input": "pen", "output": "cygne femelle", "possible_translations": [ "plume", "cellule", "stylo", "écrire", "cygne femelle", "enclos" ] }, "2075": { "input": "thesis", "output": "thèse", "possible_translations": [ "thèse" ] }, "2076": { "input": "distress", "output": "détresse", "possible_translations": [ "détresse" ] }, "2077": { "input": "exploit", "output": "exploit", "possible_translations": [ "exploiter", "exploit" ] }, "2078": { "input": "racism", "output": "racisme", "possible_translations": [ "racisme" ] }, "2079": { "input": "dialect", "output": "dialecte", "possible_translations": [ "patois", "dialecte" ] }, "2080": { "input": "anxiety", "output": "anxiété", "possible_translations": [ "anxiété", "inquiétude" ] }, "2081": { "input": "sculptor", "output": "sculpteur", "possible_translations": [ "sculpteur" ] }, "2082": { "input": "confirmation", "output": "confirmation", "possible_translations": [ "vérification", "confirmation" ] }, "2083": { "input": "masterpiece", "output": "chef-d'œuvre", "possible_translations": [ "chef-d'œuvre" ] }, "2084": { "input": "commentator", "output": "commentateur", "possible_translations": [ "commentateur" ] }, "2085": { "input": "congestion", "output": "embouteillage", "possible_translations": [ "embouteillage", "bouchon" ] }, "2086": { "input": "emission", "output": "émission", "possible_translations": [ "émission" ] }, "2087": { "input": "evaluation", "output": "évaluation", "possible_translations": [ "évaluation" ] }, "2088": { "input": "disappearance", "output": "disparition", "possible_translations": [ "disparition" ] }, "2089": { "input": "premier", "output": "premier ministre", "possible_translations": [ "premier", "premier ministre", "première" ] }, "2090": { "input": "viewership", "output": "audience", "possible_translations": [ "audience" ] }, "2091": { "input": "stole", "output": "étole", "possible_translations": [ "", "voler", "étole" ] }, "2092": { "input": "barrage", "output": "barrage", "possible_translations": [ "barrage" ] }, "2093": { "input": "contender", "output": "concurrent", "possible_translations": [ "concurrent", "rival" ] }, "2094": { "input": "warship", "output": "navire de guerre", "possible_translations": [ "navire de guerre" ] }, "2095": { "input": "laugh", "output": "rire", "possible_translations": [ "rire", "se moquer de", "se rire de" ] }, "2096": { "input": "fix", "output": "réparation", "possible_translations": [ "fixer", "réparer", "dose", "réparation" ] }, "2097": { "input": "groove", "output": "rainure", "possible_translations": [ "rainure" ] }, "2098": { "input": "tenor", "output": "ténor", "possible_translations": [ "ténor" ] }, "2099": { "input": "warehouse", "output": "entrepôt", "possible_translations": [ "entrepôt" ] }, "2100": { "input": "pope", "output": "pape", "possible_translations": [ "pape", "papesse", "pope" ] }, "2101": { "input": "plenty", "output": "abondance", "possible_translations": [ "abondance" ] }, "2102": { "input": "pipeline", "output": "pipeline", "possible_translations": [ "pipeline" ] }, "2103": { "input": "butterfly", "output": "papillon", "possible_translations": [ "papillon" ] }, "2104": { "input": "meal", "output": "moûture", "possible_translations": [ "moûture", "repas" ] }, "2105": { "input": "globe", "output": "Terre", "possible_translations": [ "globe", "Terre", "terre" ] }, "2106": { "input": "ethanol", "output": "éthanol", "possible_translations": [ "éthanol" ] }, "2107": { "input": "cultivation", "output": "culture", "possible_translations": [ "culture" ] }, "2108": { "input": "balloon", "output": "ballon", "possible_translations": [ "ballon gonflable", "ballon en baudruche", "ballon", "ballon de baudruche", "montgolfière" ] }, "2109": { "input": "dish", "output": "plat", "possible_translations": [ "parabole", "vaisselle", "canon", "plat", "assiette" ] }, "2110": { "input": "turbine", "output": "turbine", "possible_translations": [ "turbine" ] }, "2111": { "input": "chloride", "output": "chlorure", "possible_translations": [ "chlorure" ] }, "2112": { "input": "competitor", "output": "compétiteur", "possible_translations": [ "concurrent", "compétiteur", "compétitrice" ] }, "2113": { "input": "detention", "output": "détention", "possible_translations": [ "arrestation", "détention" ] }, "2114": { "input": "preview", "output": "avant-première", "possible_translations": [ "avant-première", "prévoir", "prévisualiser", "aperçu", "diffuser" ] }, "2115": { "input": "cuisine", "output": "cuisine", "possible_translations": [ "cuisine" ] }, "2116": { "input": "malaria", "output": "paludisme", "possible_translations": [ "paludisme", "malaria" ] }, "2117": { "input": "excitement", "output": "excitation", "possible_translations": [ "excitation" ] }, "2118": { "input": "reasoning", "output": "raisonnement", "possible_translations": [ "raisonnement" ] }, "2119": { "input": "grammar", "output": "grammaire", "possible_translations": [ "grammaire" ] }, "2120": { "input": "kid", "output": "gamin", "possible_translations": [ "bambin", "se moquer", "niaiser", "chevreau", "plaisanter", "gamin", "gosse", "blaguer", "flo" ] }, "2121": { "input": "pub", "output": "pub", "possible_translations": [ "bar", "pub", "estaminet" ] }, "2122": { "input": "revelation", "output": "révélation", "possible_translations": [ "révélation" ] }, "2123": { "input": "fence", "output": "clôture", "possible_translations": [ "clôture", "clôturer" ] }, "2124": { "input": "asylum", "output": "asile", "possible_translations": [ "asile psychiatrique", "asile" ] }, "2125": { "input": "morphology", "output": "morphologie", "possible_translations": [ "morphologie" ] }, "2126": { "input": "logic", "output": "logique", "possible_translations": [ "logique" ] }, "2127": { "input": "precedent", "output": "précédent", "possible_translations": [ "jurisprudence", "précédent" ] }, "2128": { "input": "sulfur", "output": "soufre", "possible_translations": [ "soufre" ] }, "2129": { "input": "pronunciation", "output": "prononciation", "possible_translations": [ "prononciation" ] }, "2130": { "input": "mantle", "output": "manteau", "possible_translations": [ "manteau" ] }, "2131": { "input": "database", "output": "base de données", "possible_translations": [ "base de données", "database" ] }, "2132": { "input": "mock", "output": "se moquer", "possible_translations": [ "examen blanc", "se moquer", "succédané", "imitation", "parodier", "imiter" ] }, "2133": { "input": "illustration", "output": "illustration", "possible_translations": [ "représentation", "illustration" ] }, "2134": { "input": "administrator", "output": "administrateur", "possible_translations": [ "administrateur" ] }, "2135": { "input": "ion", "output": "ion", "possible_translations": [ "ion" ] }, "2136": { "input": "catalogue", "output": "catalogue", "possible_translations": [ "inventaire", "cataloguer", "catalogue" ] }, "2137": { "input": "laser", "output": "laser", "possible_translations": [ "laser" ] }, "2138": { "input": "surname", "output": "nom", "possible_translations": [ "nom", "patronyme nom de famille" ] }, "2139": { "input": "assumption", "output": "supposition", "possible_translations": [ "hypothèse", "proposition", "supposition", "prémisse" ] }, "2140": { "input": "hostage", "output": "otage", "possible_translations": [ "otage" ] }, "2141": { "input": "curtain", "output": "voil", "possible_translations": [ "voil", "rideau" ] }, "2142": { "input": "plateau", "output": "plateau", "possible_translations": [ "plateau" ] }, "2143": { "input": "theft", "output": "vol", "possible_translations": [ "vol" ] }, "2144": { "input": "clearance", "output": "braderie", "possible_translations": [ "dégagement", "liquidation", "soldes", "braderie" ] }, "2145": { "input": "trafficking", "output": "narcotrafic", "possible_translations": [ "narcotrafic" ] }, "2146": { "input": "kilogram", "output": "kilogramme", "possible_translations": [ "kilo", "kilogramme" ] }, "2147": { "input": "belly", "output": "ventre", "possible_translations": [ "ventre" ] }, "2148": { "input": "robot", "output": "robot", "possible_translations": [ "robot" ] }, "2149": { "input": "hymn", "output": "hymne", "possible_translations": [ "hymne" ] }, "2150": { "input": "cheese", "output": "fromage", "possible_translations": [ "ouistiti", "fromage", "fric" ] }, "2151": { "input": "atom", "output": "atome", "possible_translations": [ "atome" ] }, "2152": { "input": "midfielder", "output": "milieu de terrain", "possible_translations": [ "milieu de terrain" ] }, "2153": { "input": "bike", "output": "vélo", "possible_translations": [ "vélo", "moto", "pute", "traînée" ] }, "2154": { "input": "diocese", "output": "diocèse", "possible_translations": [ "diocèse", "éparchie" ] }, "2155": { "input": "measurement", "output": "mesure", "possible_translations": [ "mesure" ] }, "2156": { "input": "sperm", "output": "sperme", "possible_translations": [ "spermatozoïde", "sperme" ] }, "2157": { "input": "seizure", "output": "attaque", "possible_translations": [ "attaque", "saisie", "crise" ] }, "2158": { "input": "tolerance", "output": "tolérance", "possible_translations": [ "tolérance" ] }, "2159": { "input": "excavation", "output": "excavation", "possible_translations": [ "excavation" ] }, "2160": { "input": "liberation", "output": "libération", "possible_translations": [ "libération" ] }, "2161": { "input": "inception", "output": "commencement", "possible_translations": [ "début", "commencement" ] }, "2162": { "input": "frog", "output": "talon", "possible_translations": [ "talon", "grenouille" ] }, "2163": { "input": "metaphor", "output": "métaphore", "possible_translations": [ "métaphore" ] }, "2164": { "input": "candidacy", "output": "candidature", "possible_translations": [ "candidature" ] }, "2165": { "input": "gunpowder", "output": "poudre à canon", "possible_translations": [ "poudre à canon" ] }, "2166": { "input": "equity", "output": "action", "possible_translations": [ "solidarité", "impartialité", "action" ] }, "2167": { "input": "index", "output": "indice", "possible_translations": [ "index", "indexer", "indice" ] }, "2168": { "input": "drift", "output": "dérive", "possible_translations": [ "dévier", "dérive", "dériver", "errer" ] }, "2169": { "input": "precision", "output": "précision", "possible_translations": [ "précision" ] }, "2170": { "input": "epithet", "output": "épithète", "possible_translations": [ "épithète" ] }, "2171": { "input": "dirt", "output": "terre", "possible_translations": [ "tache", "terre", "salissure", "boue" ] }, "2172": { "input": "vacuum", "output": "vide", "possible_translations": [ "vide", "passer l'aspirateur", "vacuum" ] }, "2173": { "input": "suffrage", "output": "suffrage", "possible_translations": [ "suffrage" ] }, "2174": { "input": "lineage", "output": "descendance", "possible_translations": [ "lignée", "descendance", "lignage" ] }, "2175": { "input": "probability", "output": "probabilité", "possible_translations": [ "probabilité" ] }, "2176": { "input": "maker", "output": "fabricant", "possible_translations": [ "fabricant" ] }, "2177": { "input": "fauna", "output": "faune", "possible_translations": [ "faune" ] }, "2178": { "input": "piercing", "output": "piercing", "possible_translations": [ "perçant", "piercing" ] }, "2179": { "input": "smell", "output": "odorat", "possible_translations": [ "sentir", "odorat", "odeur", "parfum" ] }, "2180": { "input": "composite", "output": "composite", "possible_translations": [ "combiné", "composé", "composite", "composer" ] }, "2181": { "input": "pig", "output": "cochon", "possible_translations": [ "salaud", "flic", "pourceau", "keuf", "cochon", "porc" ] }, "2182": { "input": "instability", "output": "instabilité", "possible_translations": [ "instabilité" ] }, "2183": { "input": "trauma", "output": "traumatisme", "possible_translations": [ "traumatisme" ] }, "2184": { "input": "trainer", "output": "basket", "possible_translations": [ "entraîneur", "basket" ] }, "2185": { "input": "flashback", "output": "flashback", "possible_translations": [ "flashback" ] }, "2186": { "input": "luck", "output": "chance", "possible_translations": [ "bol", "veine", "chance", "cul" ] }, "2187": { "input": "gesture", "output": "geste", "possible_translations": [ "geste" ] }, "2188": { "input": "duel", "output": "duel", "possible_translations": [ "croiser le fer", "duel" ] }, "2189": { "input": "clash", "output": "fracas", "possible_translations": [ "s'affronter", "cliquetis", "fracas", "escarmouche", "échauffourée" ] }, "2190": { "input": "necessity", "output": "nécessité", "possible_translations": [ "nécessité" ] }, "2191": { "input": "naturalist", "output": "naturaliste", "possible_translations": [ "naturaliste" ] }, "2192": { "input": "quote", "output": "citation", "possible_translations": [ "cotation", "citation", "coter", "ouvrir les guillemets", "citer", "devis" ] }, "2193": { "input": "delegate", "output": "délégué", "possible_translations": [ "déléguée", "déléguer", "délégué" ] }, "2194": { "input": "innocence", "output": "innocence", "possible_translations": [ "innocence" ] }, "2195": { "input": "certificate", "output": "document", "possible_translations": [ "document" ] }, "2196": { "input": "mascot", "output": "mascotte", "possible_translations": [ "mascotte" ] }, "2197": { "input": "motivation", "output": "motivation", "possible_translations": [ "motivation" ] }, "2198": { "input": "slate", "output": "ardoise", "possible_translations": [ "ardoise" ] }, "2199": { "input": "thunderstorm", "output": "orage", "possible_translations": [ "orage" ] }, "2200": { "input": "exploitation", "output": "exploitation", "possible_translations": [ "exploitation" ] }, "2201": { "input": "crust", "output": "croûte", "possible_translations": [ "croûte", "écorce" ] }, "2202": { "input": "severity", "output": "sévérité", "possible_translations": [ "sévérité" ] }, "2203": { "input": "apology", "output": "excuse", "possible_translations": [ "excuse", "apologie" ] }, "2204": { "input": "parachute", "output": "parachute", "possible_translations": [ "parachute", "parachuter" ] }, "2205": { "input": "absorption", "output": "absorption", "possible_translations": [ "absorption" ] }, "2206": { "input": "motto", "output": "devise", "possible_translations": [ "devise" ] }, "2207": { "input": "mutiny", "output": "révolte", "possible_translations": [ "mutinerie", "révolte" ] }, "2208": { "input": "trigger", "output": "gâchette", "possible_translations": [ "gâchette", "déclenchement" ] }, "2209": { "input": "vacation", "output": "vacances", "possible_translations": [ "vacances", "aller en vacances" ] }, "2210": { "input": "spelling", "output": "orthographe", "possible_translations": [ "orthographe" ] }, "2211": { "input": "skating", "output": "glisse", "possible_translations": [ "patinage", "glisse" ] }, "2212": { "input": "tract", "output": "appareil", "possible_translations": [ "appareil" ] }, "2213": { "input": "organism", "output": "organisme", "possible_translations": [ "organisme" ] }, "2214": { "input": "astronomy", "output": "astronomie", "possible_translations": [ "astronomie" ] }, "2215": { "input": "soprano", "output": "soprano", "possible_translations": [ "soprano" ] }, "2216": { "input": "geometry", "output": "géométrie", "possible_translations": [ "géométrie" ] }, "2217": { "input": "glee", "output": "joie", "possible_translations": [ "joie" ] }, "2218": { "input": "insistence", "output": "insistance", "possible_translations": [ "insistance" ] }, "2219": { "input": "coordination", "output": "coordination", "possible_translations": [ "coordination" ] }, "2220": { "input": "collaborator", "output": "collaborateur", "possible_translations": [ "collaborateur", "collaboratrice" ] }, "2221": { "input": "procession", "output": "procession", "possible_translations": [ "cortège", "procession" ] }, "2222": { "input": "spokesperson", "output": "porte-parole", "possible_translations": [ "porte-parole" ] }, "2223": { "input": "motorcycle", "output": "moto", "possible_translations": [ "motocyclette", "moto" ] }, "2224": { "input": "resonance", "output": "résonance", "possible_translations": [ "résonance" ] }, "2225": { "input": "astronomer", "output": "astronome", "possible_translations": [ "astronome" ] }, "2226": { "input": "noon", "output": "midi", "possible_translations": [ "midi" ] }, "2227": { "input": "physicist", "output": "physicien physicienne", "possible_translations": [ "physicien physicienne" ] }, "2228": { "input": "filmmaker", "output": "cinéaste", "possible_translations": [ "cinéaste" ] }, "2229": { "input": "baptism", "output": "baptême", "possible_translations": [ "baptême" ] }, "2230": { "input": "crater", "output": "cratère", "possible_translations": [ "cratère" ] }, "2231": { "input": "grief", "output": "douleur", "possible_translations": [ "douleur", "peine" ] }, "2232": { "input": "admiration", "output": "admiration", "possible_translations": [ "admiration" ] }, "2233": { "input": "simplicity", "output": "simplicité", "possible_translations": [ "simplicité" ] }, "2234": { "input": "retaliation", "output": "représailles", "possible_translations": [ "représailles" ] }, "2235": { "input": "symphony", "output": "symphonie", "possible_translations": [ "symphonie" ] }, "2236": { "input": "hierarchy", "output": "hiérarchie", "possible_translations": [ "hiérarchie" ] }, "2237": { "input": "screenwriter", "output": "scénariste", "possible_translations": [ "scénariste" ] }, "2238": { "input": "flame", "output": "polémique", "possible_translations": [ "polémique", "flamme" ] }, "2239": { "input": "monkey", "output": "singe", "possible_translations": [ "guenon", "singe" ] }, "2240": { "input": "dose", "output": "dose", "possible_translations": [ "dose" ] }, "2241": { "input": "voltage", "output": "tension", "possible_translations": [ "tension" ] }, "2242": { "input": "cry", "output": "pleur", "possible_translations": [ "cri", "crier", "pleur", "pleurer" ] }, "2243": { "input": "terror", "output": "terreur", "possible_translations": [ "effroi", "terreur" ] }, "2244": { "input": "institute", "output": "institut", "possible_translations": [ "fonder", "lancer", "instituer", "institut" ] }, "2245": { "input": "cottage", "output": "cottage", "possible_translations": [ "cottage" ] }, "2246": { "input": "characterization", "output": "caractérisation", "possible_translations": [ "caractérisation" ] }, "2247": { "input": "equilibrium", "output": "équilibre", "possible_translations": [ "équilibre" ] }, "2248": { "input": "theorem", "output": "théorème", "possible_translations": [ "théorème" ] }, "2249": { "input": "sanctuary", "output": "réserve", "possible_translations": [ "réserve", "sanctuaire", "refuge", "asile" ] }, "2250": { "input": "flotilla", "output": "flottille", "possible_translations": [ "flottille" ] }, "2251": { "input": "sin", "output": "péché", "possible_translations": [ "péché", "pécher" ] }, "2252": { "input": "airplane", "output": "avion", "possible_translations": [ "aéroplane", "avion" ] }, "2253": { "input": "sparrow", "output": "bruant", "possible_translations": [ "moineau franc", "moineau", "bruant", "moineau domestique", "piaf" ] }, "2254": { "input": "coordinator", "output": "coordonnateur", "possible_translations": [ "coordonnatrice", "coordonnateur" ] }, "2255": { "input": "expressway", "output": "autoroute", "possible_translations": [ "autoroute" ] }, "2256": { "input": "pupil", "output": "élève", "possible_translations": [ "pupille", "prunelle", "élève" ] }, "2257": { "input": "wheelchair", "output": "fauteuil roulant", "possible_translations": [ "chaise roulante", "fauteuil roulant" ] }, "2258": { "input": "enterprise", "output": "entreprise", "possible_translations": [ "entreprise", "venture", "initiative" ] }, "2259": { "input": "memoir", "output": "mémoires", "possible_translations": [ "mémoires" ] }, "2260": { "input": "projection", "output": "saillie", "possible_translations": [ "projection", "saillie" ] }, "2261": { "input": "blade", "output": "lame", "possible_translations": [ "lame" ] }, "2262": { "input": "extraction", "output": "extraction", "possible_translations": [ "extraction" ] }, "2263": { "input": "microphone", "output": "microphone", "possible_translations": [ "microphone" ] }, "2264": { "input": "recruitment", "output": "recrutement", "possible_translations": [ "recrutement" ] }, "2265": { "input": "synthesizer", "output": "synthétiseur", "possible_translations": [ "synthétiseur" ] }, "2266": { "input": "stamp", "output": "cachet", "possible_translations": [ "tampon", "tamponner", "taper", "taper du pied", "estamper", "cachet", "timbrer", "affranchir" ] }, "2267": { "input": "pseudonym", "output": "nom de guerre", "possible_translations": [ "pseudonyme", "nom de guerre" ] }, "2268": { "input": "cycling", "output": "cyclisme", "possible_translations": [ "cyclisme" ] }, "2269": { "input": "fundraising", "output": "collecte de fonds", "possible_translations": [ "collecte de fonds" ] }, "2270": { "input": "probe", "output": "sonde", "possible_translations": [ "sonde", "enquête", "perche" ] }, "2271": { "input": "glory", "output": "gloire", "possible_translations": [ "gloire" ] }, "2272": { "input": "fission", "output": "fission", "possible_translations": [ "scissiparité", "fissionner", "fission" ] }, "2273": { "input": "descendant", "output": "descendant", "possible_translations": [ "descendant" ] }, "2274": { "input": "leak", "output": "fuite", "possible_translations": [ "fuir", "fuite", "taupe", "voie d'eau" ] }, "2275": { "input": "cavity", "output": "carie", "possible_translations": [ "carie" ] }, "2276": { "input": "catcher", "output": "receveur", "possible_translations": [ "receveur", "attrapeur" ] }, "2277": { "input": "explorer", "output": "explorateur", "possible_translations": [ "sonde", "explorateur", "exploratrice" ] }, "2278": { "input": "leisure", "output": "loisir", "possible_translations": [ "loisir", "temps libre" ] }, "2279": { "input": "happiness", "output": "bonheur", "possible_translations": [ "bonheur" ] }, "2280": { "input": "deposit", "output": "dépôt", "possible_translations": [ "arrhes", "gisement", "déposer", "caution", "acompte", "dépôt" ] }, "2281": { "input": "revision", "output": "révision", "possible_translations": [ "révision", "modification" ] }, "2282": { "input": "salmon", "output": "saumon", "possible_translations": [ "saumon" ] }, "2283": { "input": "marijuana", "output": "marijuana", "possible_translations": [ "marijuana", "marihuana" ] }, "2284": { "input": "deception", "output": "tromperie", "possible_translations": [ "supercherie", "tromperie" ] }, "2285": { "input": "millennium", "output": "millénaire", "possible_translations": [ "millénaire" ] }, "2286": { "input": "mourning", "output": "deuil", "possible_translations": [ "deuil" ] }, "2287": { "input": "collar", "output": "collier", "possible_translations": [ "col", "collier" ] }, "2288": { "input": "cancel", "output": "annulation", "possible_translations": [ "oblitérer", "bécarre", "annuler", "neutraliser", "résilier", "compenser", "mettre fin", "se désabonner", "éliminer", "annulation" ] }, "2289": { "input": "canopy", "output": "canopée", "possible_translations": [ "dais", "marquise", "baldaquin", "voûte", "canopée", "toile de parachute" ] }, "2290": { "input": "sleeve", "output": "chemise", "possible_translations": [ "chemise", "pochette", "manche", "manchon", "boîtier", "gaine" ] }, "2291": { "input": "geology", "output": "géologie", "possible_translations": [ "géologie" ] }, "2292": { "input": "anatomy", "output": "anatomie", "possible_translations": [ "anatomie" ] }, "2293": { "input": "lip", "output": "lèvre", "possible_translations": [ "lèvre" ] }, "2294": { "input": "emblem", "output": "emblème", "possible_translations": [ "emblème" ] }, "2295": { "input": "pneumonia", "output": "pneumonie", "possible_translations": [ "pneumonie" ] }, "2296": { "input": "predation", "output": "prédation", "possible_translations": [ "prédation" ] }, "2297": { "input": "portal", "output": "portail", "possible_translations": [ "portique", "portail", "veine porte" ] }, "2298": { "input": "confluence", "output": "confluent", "possible_translations": [ "confluent", "confluence", "convergence" ] }, "2299": { "input": "fraternity", "output": "fraternité", "possible_translations": [ "fraternité" ] }, "2300": { "input": "glider", "output": "planeur", "possible_translations": [ "planeur" ] }, "2301": { "input": "fortification", "output": "fortification", "possible_translations": [ "fortification", "renforcement" ] }, "2302": { "input": "tactic", "output": "tactique", "possible_translations": [ "tactique" ] }, "2303": { "input": "prequel", "output": "préquelle", "possible_translations": [ "antépisode", "préquelle", "prequel" ] }, "2304": { "input": "fabric", "output": "tissu", "possible_translations": [ "structure", "textile", "tissu" ] }, "2305": { "input": "synagogue", "output": "synagogue", "possible_translations": [ "synagogue" ] }, "2306": { "input": "influenza", "output": "grippe", "possible_translations": [ "grippe" ] }, "2307": { "input": "pavilion", "output": "pavillon", "possible_translations": [ "pavillon" ] }, "2308": { "input": "concession", "output": "concession", "possible_translations": [ "concession" ] }, "2309": { "input": "smallpox", "output": "variole", "possible_translations": [ "petite vérole", "variole" ] }, "2310": { "input": "pottery", "output": "poterie", "possible_translations": [ "poterie" ] }, "2311": { "input": "trumpet", "output": "barrissement", "possible_translations": [ "trompettiste", "barrir", "jouer de la trompette", "baréter", "trompeter", "barrissement", "trompette" ] }, "2312": { "input": "surf", "output": "brisants", "possible_translations": [ "brisants", "surfer" ] }, "2313": { "input": "sensitivity", "output": "sensibilité", "possible_translations": [ "sensibilité" ] }, "2314": { "input": "mandate", "output": "mandat", "possible_translations": [ "autoriser", "mandat" ] }, "2315": { "input": "beef", "output": "bœuf", "possible_translations": [ "bœuf" ] }, "2316": { "input": "mistress", "output": "maîtresse", "possible_translations": [ "maîtresse" ] }, "2317": { "input": "breakfast", "output": "petit déjeuner", "possible_translations": [ "déjeuner", "prendre le petit-déjeuner", "petit déjeuner" ] }, "2318": { "input": "slogan", "output": "slogan", "possible_translations": [ "slogan" ] }, "2319": { "input": "taxation", "output": "taxation", "possible_translations": [ "taxation" ] }, "2320": { "input": "geography", "output": "géographie", "possible_translations": [ "géographie" ] }, "2321": { "input": "spine", "output": "dos", "possible_translations": [ "dos", "échine", "épine", "colonne vertébrale", "piquant" ] }, "2322": { "input": "reprise", "output": "reprise", "possible_translations": [ "reprise" ] }, "2323": { "input": "inauguration", "output": "inauguration", "possible_translations": [ "inauguration", "investiture" ] }, "2324": { "input": "abolition", "output": "abolition", "possible_translations": [ "abolition" ] }, "2325": { "input": "hostility", "output": "hostilité", "possible_translations": [ "hostilité" ] }, "2326": { "input": "influx", "output": "influx", "possible_translations": [ "influx" ] }, "2327": { "input": "packaging", "output": "emballage", "possible_translations": [ "emballage" ] }, "2328": { "input": "millimetre", "output": "millimètre", "possible_translations": [ "millimètre" ] }, "2329": { "input": "hind", "output": "biche", "possible_translations": [ "biche", "arrière" ] }, "2330": { "input": "subway", "output": "métro", "possible_translations": [ "métropolitain", "métro" ] }, "2331": { "input": "backstage", "output": "coulisses", "possible_translations": [ "coulisses" ] }, "2332": { "input": "symbolism", "output": "symbolisme", "possible_translations": [ "symbolisme" ] }, "2333": { "input": "aristocracy", "output": "aristocratie", "possible_translations": [ "aristocratie" ] }, "2334": { "input": "disability", "output": "infirmité", "possible_translations": [ "pension d'invalidité", "infirmité", "invalidité", "handicap" ] }, "2335": { "input": "prohibition", "output": "interdiction", "possible_translations": [ "interdiction" ] }, "2336": { "input": "feast", "output": "fête", "possible_translations": [ "banquet", "festin", "fête" ] }, "2337": { "input": "shower", "output": "douche", "possible_translations": [ "douche", "averse", "ondée", "prendre une douche", "se doucher" ] }, "2338": { "input": "symmetry", "output": "symétrie", "possible_translations": [ "symétrie" ] }, "2339": { "input": "pirate", "output": "pirate", "possible_translations": [ "pirate", "piraté", "pirater", "corsaire" ] }, "2340": { "input": "confession", "output": "confession", "possible_translations": [ "confession" ] }, "2341": { "input": "nationalism", "output": "nationalisme", "possible_translations": [ "nationalisme" ] }, "2342": { "input": "module", "output": "module", "possible_translations": [ "module" ] }, "2343": { "input": "neutrality", "output": "neutralité", "possible_translations": [ "neutralité" ] }, "2344": { "input": "wisdom", "output": "sagesse", "possible_translations": [ "sagesse" ] }, "2345": { "input": "communism", "output": "communisme", "possible_translations": [ "communisme" ] }, "2346": { "input": "mast", "output": "mât", "possible_translations": [ "mât" ] }, "2347": { "input": "desk", "output": "bureau", "possible_translations": [ "bureau", "pupitre" ] }, "2348": { "input": "homeland", "output": "patrie", "possible_translations": [ "patrie" ] }, "2349": { "input": "robbery", "output": "banditisme", "possible_translations": [ "vol à main armée", "banditisme", "braquage", "brigandage" ] }, "2350": { "input": "survivor", "output": "survivant", "possible_translations": [ "rescapé", "rescapée", "survivante", "survivant" ] }, "2351": { "input": "takeover", "output": "prise de contrôle", "possible_translations": [ "prise de contrôle", "acquisition" ] }, "2352": { "input": "casino", "output": "casino", "possible_translations": [ "casino" ] }, "2353": { "input": "pulp", "output": "pulpe", "possible_translations": [ "pulpe" ] }, "2354": { "input": "chronicle", "output": "chronique", "possible_translations": [ "chronique" ] }, "2355": { "input": "toxicity", "output": "toxicité", "possible_translations": [ "toxicité" ] }, "2356": { "input": "researcher", "output": "chercheur", "possible_translations": [ "chercheur" ] }, "2357": { "input": "niece", "output": "nièce", "possible_translations": [ "nièce" ] }, "2358": { "input": "ecosystem", "output": "écosystème", "possible_translations": [ "écosystème" ] }, "2359": { "input": "incarnation", "output": "incarnation", "possible_translations": [ "incarnation" ] }, "2360": { "input": "plague", "output": "peste", "possible_translations": [ "la peste", "fléau", "calamité", "peste", "affliger", "plaie" ] }, "2361": { "input": "hemisphere", "output": "hémisphère", "possible_translations": [ "hémisphère" ] }, "2362": { "input": "cadet", "output": "cadet", "possible_translations": [ "cadet" ] }, "2363": { "input": "inventory", "output": "inventaire", "possible_translations": [ "inventaire" ] }, "2364": { "input": "donation", "output": "donation", "possible_translations": [ "donation" ] }, "2365": { "input": "calibre", "output": "calibre", "possible_translations": [ "calibre" ] }, "2366": { "input": "relocation", "output": "déménagement", "possible_translations": [ "délocalisation", "déménagement" ] }, "2367": { "input": "journalism", "output": "journalisme", "possible_translations": [ "journalisme" ] }, "2368": { "input": "aluminium", "output": "aluminium", "possible_translations": [ "aluminium" ] }, "2369": { "input": "curse", "output": "mauvais sort", "possible_translations": [ "malédiction", "maudire", "mauvais sort" ] }, "2370": { "input": "annexation", "output": "annexion", "possible_translations": [ "annexion" ] }, "2371": { "input": "canvas", "output": "toile", "possible_translations": [ "toiler", "toile", "entoiler" ] }, "2372": { "input": "crush", "output": "barricade", "possible_translations": [ "s'écraser", "écraser", "avoir le béguin", "béguin", "barricade", "écrabouiller", "amourette", "concasser" ] }, "2373": { "input": "offset", "output": "compensation", "possible_translations": [ "décalages", "impression en offset", "début", "compenser", "décalage", "contrebalancer", "contrepartie", "compensation" ] }, "2374": { "input": "authenticity", "output": "authenticité", "possible_translations": [ "authenticité" ] }, "2375": { "input": "interval", "output": "intervalle", "possible_translations": [ "intervalle" ] }, "2376": { "input": "eligibility", "output": "éligibilité", "possible_translations": [ "éligibilité" ] }, "2377": { "input": "breath", "output": "haleine", "possible_translations": [ "haleine", "souffle", "respiration" ] }, "2378": { "input": "cane", "output": "canne", "possible_translations": [ "bâtonner", "canne blanche", "tige", "canne", "bastonnade" ] }, "2379": { "input": "sediment", "output": "sédiment", "possible_translations": [ "sédiment", "sédimenter" ] }, "2380": { "input": "pension", "output": "pension", "possible_translations": [ "pensioner", "pension", "retraite" ] }, "2381": { "input": "textile", "output": "textile", "possible_translations": [ "textile" ] }, "2382": { "input": "bathroom", "output": "toilette", "possible_translations": [ "toilette", "salle de bains" ] }, "2383": { "input": "drain", "output": "drain", "possible_translations": [ "hémorragie", "gouffre", "essorer", "drainer", "drain", "déshydrater" ] }, "2384": { "input": "nightclub", "output": "boîte de nuit", "possible_translations": [ "boîte de nuit" ] }, "2385": { "input": "salvage", "output": "épave", "possible_translations": [ "épave", "sauvetages", "rescapées", "sauver", "récompense", "épaves", "sauvetage", "récompenses", "rescapé", "rescapée", "recycler", "rescapés" ] }, "2386": { "input": "rage", "output": "rage", "possible_translations": [ "faire rage", "rage", "rager", "furie", "se déchaîner" ] }, "2387": { "input": "disguise", "output": "déguisement", "possible_translations": [ "déguisement", "déguiser" ] }, "2388": { "input": "electro", "output": "electro", "possible_translations": [ "electro", "électro" ] }, "2389": { "input": "stiff", "output": "macchabée", "possible_translations": [ "raide", "macchabée", "rigide" ] }, "2390": { "input": "renewal", "output": "renouvellement", "possible_translations": [ "renouvellement" ] }, "2391": { "input": "workshop", "output": "atelier", "possible_translations": [ "atelier" ] }, "2392": { "input": "incorporation", "output": "incorporation", "possible_translations": [ "incorporation" ] }, "2393": { "input": "vault", "output": "voûte", "possible_translations": [ "voûte /voute ; cellier ; caveau", "bondir", "saut de cheval", "voûte", "crypte", "voute", "chambre-forte" ] }, "2394": { "input": "tuberculosis", "output": "tuberculose", "possible_translations": [ "tuberculose" ] }, "2395": { "input": "timeline", "output": "frise chronologique", "possible_translations": [ "planning", "chronologie", "frise chronologique", "horaire", "ligne de temps" ] }, "2396": { "input": "cow", "output": "vache", "possible_translations": [ "bovin", "vache", "garce", "chipie", "femelle" ] }, "2397": { "input": "breakup", "output": "rupture", "possible_translations": [ "rupture" ] }, "2398": { "input": "enclosure", "output": "enclos", "possible_translations": [ "enclos" ] }, "2399": { "input": "milestone", "output": "jalon", "possible_translations": [ "jalon", "borne" ] }, "2400": { "input": "graph", "output": "graphique", "possible_translations": [ "graphique", "graphe" ] }, "2401": { "input": "bust", "output": "buste", "possible_translations": [ "pincer", "fiasco", "prendre la main dans le sac", "arrestation", "éclater", "attraper", "buste", "niquer", "bouziller", "prendre sur le fait", "choper", "arrêter" ] }, "2402": { "input": "shuttle", "output": "navette", "possible_translations": [ "navette" ] }, "2403": { "input": "illusion", "output": "illusion", "possible_translations": [ "illusion" ] }, "2404": { "input": "privilege", "output": "privilège", "possible_translations": [ "privilégier", "privilège" ] }, "2405": { "input": "bend", "output": "bande", "possible_translations": [ "bande", "courber" ] }, "2406": { "input": "circus", "output": "cirque", "possible_translations": [ "cirque" ] }, "2407": { "input": "doll", "output": "poupée", "possible_translations": [ "poupée" ] }, "2408": { "input": "beak", "output": "bec", "possible_translations": [ "bec", "éperon" ] }, "2409": { "input": "lumber", "output": "bois de charpente", "possible_translations": [ "bois de charpente" ] }, "2410": { "input": "monopoly", "output": "monopole", "possible_translations": [ "monopole" ] }, "2411": { "input": "lacrosse", "output": "crosse", "possible_translations": [ "crosse" ] }, "2412": { "input": "snout", "output": "museau", "possible_translations": [ "museau" ] }, "2413": { "input": "populace", "output": "bas peuple", "possible_translations": [ "bas peuple", "plèbe", "populace" ] }, "2414": { "input": "trait", "output": "trait", "possible_translations": [ "trait" ] }, "2415": { "input": "dislike", "output": "antipathie", "possible_translations": [ "ne pas aimer", "antipathie" ] }, "2416": { "input": "porch", "output": "porche", "possible_translations": [ "véranda", "porche" ] }, "2417": { "input": "cement", "output": "ciment", "possible_translations": [ "ciment", "adhésif", "colle", "cimenter" ] }, "2418": { "input": "gradient", "output": "gradient", "possible_translations": [ "gradient", "pente" ] }, "2419": { "input": "terrorism", "output": "terrorisme", "possible_translations": [ "terrorisme" ] }, "2420": { "input": "finalist", "output": "finaliste", "possible_translations": [ "finaliste" ] }, "2421": { "input": "wilderness", "output": "naturalité", "possible_translations": [ "nature sauvage", "naturalité" ] }, "2422": { "input": "playwright", "output": "dramaturge", "possible_translations": [ "dramaturge", "auteur dramatique" ] }, "2423": { "input": "irrigation", "output": "irrigation", "possible_translations": [ "irrigation", "irrigate" ] }, "2424": { "input": "turmoil", "output": "chaos", "possible_translations": [ "chaos", "désordre" ] }, "2425": { "input": "chocolate", "output": "chocolat", "possible_translations": [ "praline", "chocolat", "au chocolat", "chocolaté", "de chocolat" ] }, "2426": { "input": "equator", "output": "équateur", "possible_translations": [ "équateur" ] }, "2427": { "input": "proclamation", "output": "proclamation", "possible_translations": [ "proclamation" ] }, "2428": { "input": "reconciliation", "output": "réconciliation", "possible_translations": [ "réconciliation", "rapprochement" ] }, "2429": { "input": "plea", "output": "supplication", "possible_translations": [ "supplication", "appel" ] }, "2430": { "input": "weaponry", "output": "armement", "possible_translations": [ "arsenal", "armement" ] }, "2431": { "input": "friction", "output": "friction", "possible_translations": [ "désaccord", "frottement", "friction" ] }, "2432": { "input": "dignity", "output": "dignité", "possible_translations": [ "dignité" ] }, "2433": { "input": "advocacy", "output": "barreau", "possible_translations": [ "barreau", "promotion", "mobilisation" ] }, "2434": { "input": "activism", "output": "activisme", "possible_translations": [ "activisme" ] }, "2435": { "input": "diplomat", "output": "diplomate", "possible_translations": [ "diplomate" ] }, "2436": { "input": "punch", "output": "punch", "possible_translations": [ "pointeau", "poinçonnage", "poinçonner", "poinçon", "poinçonneuse", "punch", "coup de poing" ] }, "2437": { "input": "fraction", "output": "fraction", "possible_translations": [ "fraction" ] }, "2438": { "input": "prediction", "output": "prédiction", "possible_translations": [ "prédiction" ] }, "2439": { "input": "dictator", "output": "dictateur", "possible_translations": [ "dictateur" ] }, "2440": { "input": "fragment", "output": "fragment", "possible_translations": [ "fragmenter", "fragment" ] }, "2441": { "input": "boycott", "output": "boycott", "possible_translations": [ "boycottage", "boycotter", "boycott" ] }, "2442": { "input": "ambulance", "output": "ambulance", "possible_translations": [ "ambulance" ] }, "2443": { "input": "encouragement", "output": "encouragement", "possible_translations": [ "encouragement" ] }, "2444": { "input": "critique", "output": "critique", "possible_translations": [ "faire la critique", "critique" ] }, "2445": { "input": "peat", "output": "tourbe", "possible_translations": [ "tourbe" ] }, "2446": { "input": "satisfaction", "output": "satisfaction", "possible_translations": [ "satisfaction" ] }, "2447": { "input": "lithium", "output": "lithium", "possible_translations": [ "lithium" ] }, "2448": { "input": "bunch", "output": "groupe", "possible_translations": [ "mouche", "groupe", "empiler", "peloton", "mettre en banc", "poche", "poche de minerai", "bande", "nid", "mettre en masse", "poupée", "grouper", "réserve", "bouquet", "poupe", "poche minéralisée", "botte", "javelle" ] }, "2449": { "input": "sensation", "output": "sensation", "possible_translations": [ "sensation" ] }, "2450": { "input": "scenery", "output": "décor naturel", "possible_translations": [ "décor", "décor naturel", "paysage" ] }, "2451": { "input": "courthouse", "output": "palais de justice", "possible_translations": [ "palais de justice", "tribunal" ] }, "2452": { "input": "bride", "output": "jeune mariée", "possible_translations": [ "épouse", "jeune mariée", "future mariée", "future épouse", "mariée" ] }, "2453": { "input": "archaeology", "output": "archéologie", "possible_translations": [ "archéologie" ] }, "2454": { "input": "likelihood", "output": "vraisemblance", "possible_translations": [ "vraisemblance" ] }, "2455": { "input": "vaccine", "output": "vaccin", "possible_translations": [ "vaccin" ] }, "2456": { "input": "telegraph", "output": "télégraphe", "possible_translations": [ "télégraphier", "télégraphe" ] }, "2457": { "input": "contractor", "output": "entrepreneur", "possible_translations": [ "sous-traitant", "entrepreneur" ] }, "2458": { "input": "taxi", "output": "taxi", "possible_translations": [ "taxi" ] }, "2459": { "input": "connector", "output": "connecteur", "possible_translations": [ "connecteur" ] }, "2460": { "input": "mess", "output": "fouillis", "possible_translations": [ "fouillis", "messe", "gâchis", "bordel", "chenis", "foutoir" ] }, "2461": { "input": "grip", "output": "poignée", "possible_translations": [ "saisir", "poignée", "agripper" ] }, "2462": { "input": "headline", "output": "titre", "possible_translations": [ "titre", "manchette" ] }, "2463": { "input": "participant", "output": "participant", "possible_translations": [ "participant", "participante" ] }, "2464": { "input": "brake", "output": "frein", "possible_translations": [ "frein", "freiner" ] }, "2465": { "input": "murderer", "output": "meurtrier", "possible_translations": [ "meurtrière", "meurtrier" ] }, "2466": { "input": "expertise", "output": "expertise", "possible_translations": [ "expertise", "compétence" ] }, "2467": { "input": "citadel", "output": "citadelle", "possible_translations": [ "citadelle" ] }, "2468": { "input": "cord", "output": "corde", "possible_translations": [ "corde" ] }, "2469": { "input": "cinematography", "output": "cinématographie", "possible_translations": [ "cinématographie" ] }, "2470": { "input": "autism", "output": "autisme", "possible_translations": [ "autisme" ] }, "2471": { "input": "lesson", "output": "leçon", "possible_translations": [ "leçon", "devoirs" ] }, "2472": { "input": "genome", "output": "génome", "possible_translations": [ "génome" ] }, "2473": { "input": "diffusion", "output": "diffusion", "possible_translations": [ "diffusion" ] }, "2474": { "input": "privacy", "output": "intimité", "possible_translations": [ "vie privée", "intimité" ] }, "2475": { "input": "apparatus", "output": "appareil", "possible_translations": [ "appareil" ] }, "2476": { "input": "peasant", "output": "paysan", "possible_translations": [ "paysan", "rustaud", "rustique", "villageoise", "villageois", "paysanne", "rustaude" ] }, "2477": { "input": "capitalism", "output": "capitalisme", "possible_translations": [ "capitalisme" ] }, "2478": { "input": "contempt", "output": "mépris", "possible_translations": [ "outrage", "mépris" ] }, "2479": { "input": "booklet", "output": "livret", "possible_translations": [ "livret", "brochure", "pamphlet" ] }, "2480": { "input": "prosecutor", "output": "procureur", "possible_translations": [ "procuratrice", "procureur" ] }, "2481": { "input": "amusement", "output": "amusement", "possible_translations": [ "amusement" ] }, "2482": { "input": "royalty", "output": "royalty", "possible_translations": [ "règne", "redevance", "royalty" ] }, "2483": { "input": "gust", "output": "souffle", "possible_translations": [ "coup de vent", "bourrasque", "rafale", "souffle" ] }, "2484": { "input": "tent", "output": "tente", "possible_translations": [ "tente", "guitoune" ] }, "2485": { "input": "expectation", "output": "attente", "possible_translations": [ "attente" ] }, "2486": { "input": "pilgrimage", "output": "pèlerinage", "possible_translations": [ "pèlerinage" ] }, "2487": { "input": "legitimacy", "output": "légitimité", "possible_translations": [ "légitimité" ] }, "2488": { "input": "meditation", "output": "méditation", "possible_translations": [ "méditation" ] }, "2489": { "input": "analogy", "output": "analogie", "possible_translations": [ "analogie" ] }, "2490": { "input": "socialism", "output": "socialisme", "possible_translations": [ "socialisme" ] }, "2491": { "input": "commuter", "output": "navetteur", "possible_translations": [ "pendulaire", "navetteur" ] }, "2492": { "input": "limb", "output": "limbe", "possible_translations": [ "démembrer", "limbe", "membre", "branche" ] }, "2493": { "input": "cake", "output": "gâteau", "possible_translations": [ "gâteau", "pâtisserie" ] }, "2494": { "input": "vitamin", "output": "vitamine", "possible_translations": [ "vitamine" ] }, "2495": { "input": "podium", "output": "podium", "possible_translations": [ "podium" ] }, "2496": { "input": "algorithm", "output": "algorithme", "possible_translations": [ "algorithme" ] }, "2497": { "input": "segregation", "output": "ségrégation", "possible_translations": [ "ségrégation", "séparation" ] }, "2498": { "input": "worry", "output": "souci", "possible_translations": [ "s'inquiéter", "souci", "inquiéter", "angoisse", "harceler" ] }, "2499": { "input": "molecule", "output": "molécule", "possible_translations": [ "molécule" ] }, "2500": { "input": "teaser", "output": "bande-annonce", "possible_translations": [ "aguiche", "teaser", "bande-annonce" ] }, "2501": { "input": "nursery", "output": "crèche", "possible_translations": [ "crèche", "pouponnière", "pépinière" ] }, "2502": { "input": "chancellor", "output": "chancelier", "possible_translations": [ "chancelière", "contremaître de jury", "chancelier" ] }, "2503": { "input": "daytime", "output": "journée", "possible_translations": [ "journée", "jour" ] }, "2504": { "input": "cook", "output": "chef", "possible_translations": [ "cuisiner", "chef", "cuisinier", "cuire" ] }, "2505": { "input": "lure", "output": "leurre", "possible_translations": [ "attrait", "attirer", "séduire", "leurrer", "leurre" ] }, "2506": { "input": "scratch", "output": "égratignure", "possible_translations": [ "flouze", "rayure", "blé", "rayer", "griffer", "égratignure", "pognon", "grisbi", "gratter", "biffer", "thune", "égratigner", "oublier" ] }, "2507": { "input": "vulnerability", "output": "vulnérabilité", "possible_translations": [ "vulnérabilité" ] }, "2508": { "input": "staple", "output": "agrafe", "possible_translations": [ "agrafer", "agrafe" ] }, "2509": { "input": "guess", "output": "conjecture", "possible_translations": [ "deviner", "conjecture", "supposer", "déduire" ] }, "2510": { "input": "gamma", "output": "gamme", "possible_translations": [ "gamme" ] }, "2511": { "input": "bubble", "output": "bulle", "possible_translations": [ "trou", "bulle", "bouillonner" ] }, "2512": { "input": "exclusion", "output": "exclusion", "possible_translations": [ "exclusion" ] }, "2513": { "input": "relativity", "output": "relativité", "possible_translations": [ "relativité" ] }, "2514": { "input": "sociology", "output": "sociologie", "possible_translations": [ "sociologie" ] }, "2515": { "input": "stealth", "output": "furtivité", "possible_translations": [ "discrétion", "furtivité" ] }, "2516": { "input": "scouting", "output": "scoutisme", "possible_translations": [ "scoutisme" ] }, "2517": { "input": "affinity", "output": "affinité", "possible_translations": [ "affinité" ] }, "2518": { "input": "litter", "output": "litière", "possible_translations": [ "détritus", "portée", "jeter des ordures", "litière" ] }, "2519": { "input": "domination", "output": "domination", "possible_translations": [ "domination" ] }, "2520": { "input": "outlet", "output": "exutoire", "possible_translations": [ "prise", "dérivatif", "sortie", "franchise", "prise de courant", "magasin d’usine", "exutoire", "issue" ] }, "2521": { "input": "cheek", "output": "fesse", "possible_translations": [ "culot", "fesse", "toupet", "joue" ] }, "2522": { "input": "forehead", "output": "front", "possible_translations": [ "front" ] }, "2523": { "input": "discretion", "output": "discrétion", "possible_translations": [ "discrétion" ] }, "2524": { "input": "obligation", "output": "obligation", "possible_translations": [ "obligation", "engagement" ] }, "2525": { "input": "valve", "output": "valve", "possible_translations": [ "clapet", "soupape", "valve" ] }, "2526": { "input": "dependence", "output": "dépendance", "possible_translations": [ "dépendance" ] }, "2527": { "input": "flour", "output": "farine", "possible_translations": [ "enfariner", "farine", "fariner" ] }, "2528": { "input": "wrist", "output": "poignet", "possible_translations": [ "poignet" ] }, "2529": { "input": "takeoff", "output": "décollage", "possible_translations": [ "décollage" ] }, "2530": { "input": "literacy", "output": "littératie", "possible_translations": [ "littérisme", "alphabétisme", "littératie" ] }, "2531": { "input": "outlook", "output": "vue", "possible_translations": [ "vue", "perspective", "point de vue" ] }, "2532": { "input": "mutation", "output": "mutation", "possible_translations": [ "mutation" ] }, "2533": { "input": "archaeologist", "output": "archéologue", "possible_translations": [ "archéologue" ] }, "2534": { "input": "activation", "output": "activation", "possible_translations": [ "activation" ] }, "2535": { "input": "simulation", "output": "simulation", "possible_translations": [ "simulation" ] }, "2536": { "input": "subscription", "output": "abonnement", "possible_translations": [ "abonnement" ] }, "2537": { "input": "synonym", "output": "synonyme", "possible_translations": [ "synonyme" ] }, "2538": { "input": "recession", "output": "récession", "possible_translations": [ "récession" ] }, "2539": { "input": "hunger", "output": "faim", "possible_translations": [ "avoir faim", "soif", "faim", "avoir soif" ] }, "2540": { "input": "validity", "output": "validité", "possible_translations": [ "validité" ] }, "2541": { "input": "yoga", "output": "yoga", "possible_translations": [ "yoga" ] }, "2542": { "input": "induction", "output": "induction", "possible_translations": [ "induction" ] }, "2543": { "input": "thread", "output": "fil", "possible_translations": [ "processus léger", "filer", "fil" ] }, "2544": { "input": "plaster", "output": "plâtre", "possible_translations": [ "enduire", "plâtrer", "plâtre", "enduit", "onguent" ] }, "2545": { "input": "cinematographer", "output": "directeur de la photographie", "possible_translations": [ "directeur de la photographie", "directeur photo" ] }, "2546": { "input": "generator", "output": "générateur", "possible_translations": [ "générateur électrique", "générateur" ] }, "2547": { "input": "narration", "output": "narration", "possible_translations": [ "narration" ] }, "2548": { "input": "obstacle", "output": "obstacle", "possible_translations": [ "obstacle" ] }, "2549": { "input": "subfamily", "output": "sous-famille", "possible_translations": [ "sous-famille" ] }, "2550": { "input": "senate", "output": "sénat", "possible_translations": [ "sénat" ] }, "2551": { "input": "reservation", "output": "réservation", "possible_translations": [ "réserve", "réservation" ] }, "2552": { "input": "workforce", "output": "main-d'œuvre", "possible_translations": [ "personnel", "main-d'œuvre" ] }, "2553": { "input": "pond", "output": "étang", "possible_translations": [ "océan Atlantique", "mare", "étang" ] }, "2554": { "input": "vibe", "output": "vibe", "possible_translations": [ "vibe" ] }, "2555": { "input": "fatigue", "output": "fatigue", "possible_translations": [ "fatigue", "fatiguer", "corvée", "épuisement" ] }, "2556": { "input": "flexibility", "output": "souplesse", "possible_translations": [ "souplesse", "flexibilité" ] }, "2557": { "input": "crane", "output": "grue", "possible_translations": [ "grue", "allonger" ] }, "2558": { "input": "cassette", "output": "cassette", "possible_translations": [ "cassette audio", "vidéocassette", "cassette vidéo", "audiocassette", "cassette" ] }, "2559": { "input": "courtship", "output": "cour", "possible_translations": [ "cour" ] }, "2560": { "input": "adulthood", "output": "âge adulte", "possible_translations": [ "maturité", "âge adulte" ] }, "2561": { "input": "seller", "output": "vendeur", "possible_translations": [ "vendeuse", "vendeur" ] }, "2562": { "input": "sergeant", "output": "sergent", "possible_translations": [ "sergent" ] }, "2563": { "input": "ventilation", "output": "aération", "possible_translations": [ "aération" ] }, "2564": { "input": "consort", "output": "consort", "possible_translations": [ "consort" ] }, "2565": { "input": "peer", "output": "pair", "possible_translations": [ "noble", "pareil", "semblable", "scruter du regard", "pair" ] }, "2566": { "input": "humidity", "output": "humidité", "possible_translations": [ "humidité" ] }, "2567": { "input": "obsession", "output": "obsession", "possible_translations": [ "idée fixe", "fixation", "obsession" ] }, "2568": { "input": "contamination", "output": "contamination", "possible_translations": [ "contamination" ] }, "2569": { "input": "sickness", "output": "maladie", "possible_translations": [ "maladie" ] }, "2570": { "input": "antiquity", "output": "Antiquité", "possible_translations": [ "antiquité", "Antiquité" ] }, "2571": { "input": "prostitution", "output": "prostitution", "possible_translations": [ "prostitution" ] }, "2572": { "input": "listener", "output": "auditeur", "possible_translations": [ "écouteuse", "auditeur", "écouteur", "auditrice" ] }, "2573": { "input": "cocaine", "output": "cocaïne", "possible_translations": [ "cocaïne" ] }, "2574": { "input": "reel", "output": "reel", "possible_translations": [ "enrouleur", "reel", "bobine", "tituber", "embobiner", "enrouler" ] }, "2575": { "input": "vocabulary", "output": "vocabulaire", "possible_translations": [ "vocabulaire", "lexique" ] }, "2576": { "input": "birthplace", "output": "lieu de naissance", "possible_translations": [ "lieu de naissance" ] }, "2577": { "input": "spectacle", "output": "spectacle", "possible_translations": [ "spectacle" ] }, "2578": { "input": "swamp", "output": "marécage", "possible_translations": [ "submerger", "marais", "marécage" ] }, "2579": { "input": "crusade", "output": "croisade", "possible_translations": [ "croisade" ] }, "2580": { "input": "ink", "output": "encre", "possible_translations": [ "encre" ] }, "2581": { "input": "deposition", "output": "destitution", "possible_translations": [ "destitution" ] }, "2582": { "input": "penis", "output": "pénis", "possible_translations": [ "membre", "bite", "pénis" ] }, "2583": { "input": "logging", "output": "exploitation forestière", "possible_translations": [ "exploitation forestière" ] }, "2584": { "input": "prejudice", "output": "préjugé", "possible_translations": [ "préjudice", "idée préconçue", "préjugé" ] }, "2585": { "input": "analyst", "output": "analyste", "possible_translations": [ "analyste", "psychanalyste" ] }, "2586": { "input": "bravery", "output": "courage", "possible_translations": [ "courage" ] }, "2587": { "input": "clone", "output": "clone", "possible_translations": [ "clone", "cloner" ] }, "2588": { "input": "rudder", "output": "gouvernail", "possible_translations": [ "gouvernail" ] }, "2589": { "input": "shake", "output": "secousse", "possible_translations": [ "secousse", "se secouer", "secouer", "agiter", "se serrer la main" ] }, "2590": { "input": "swift", "output": "martinet", "possible_translations": [ "martinet", "rapide" ] }, "2591": { "input": "wardrobe", "output": "garde-robe", "possible_translations": [ "armoire", "garde-robe" ] }, "2592": { "input": "liquor", "output": "spiritueux", "possible_translations": [ "spiritueux" ] }, "2593": { "input": "reliability", "output": "fiabilité", "possible_translations": [ "fiabilité" ] }, "2594": { "input": "consistency", "output": "consistance", "possible_translations": [ "consistance" ] }, "2595": { "input": "degradation", "output": "dégradation", "possible_translations": [ "dégradation" ] }, "2596": { "input": "rendezvous", "output": "rendez-vous", "possible_translations": [ "rendez-vous" ] }, "2597": { "input": "stripe", "output": "galon", "possible_translations": [ "rayer", "rayure", "galon" ] }, "2598": { "input": "receptor", "output": "récepteur", "possible_translations": [ "récepteur" ] }, "2599": { "input": "antibody", "output": "anticorps", "possible_translations": [ "anticorps" ] }, "2600": { "input": "salvation", "output": "salut", "possible_translations": [ "salut" ] }, "2601": { "input": "alphabet", "output": "alphabet", "possible_translations": [ "alphabet" ] }, "2602": { "input": "modernization", "output": "modernisation", "possible_translations": [ "modernisation" ] }, "2603": { "input": "creativity", "output": "créativité", "possible_translations": [ "créativité" ] }, "2604": { "input": "sampling", "output": "échantillonnage", "possible_translations": [ "échantillonnage", "échantillon", "prélèvement" ] }, "2605": { "input": "botanist", "output": "botaniste", "possible_translations": [ "botaniste" ] }, "2606": { "input": "injection", "output": "injection", "possible_translations": [ "injection" ] }, "2607": { "input": "diabetes", "output": "diabète", "possible_translations": [ "diabète" ] }, "2608": { "input": "wreckage", "output": "décombres", "possible_translations": [ "décombres" ] }, "2609": { "input": "obituary", "output": "nécrologie", "possible_translations": [ "nécrologie" ] }, "2610": { "input": "aggregator", "output": "agrégateur", "possible_translations": [ "agrégateur" ] }, "2611": { "input": "cone", "output": "cône", "possible_translations": [ "cône", "surface conique", "pomme de pin", "pive" ] }, "2612": { "input": "messenger", "output": "messager", "possible_translations": [ "messager" ] }, "2613": { "input": "endurance", "output": "endurance", "possible_translations": [ "endurance" ] }, "2614": { "input": "abandonment", "output": "abandon", "possible_translations": [ "désertion", "abandon" ] }, "2615": { "input": "localization", "output": "localisation", "possible_translations": [ "localisation" ] }, "2616": { "input": "rubble", "output": "décombres", "possible_translations": [ "décombres", "débris" ] }, "2617": { "input": "dissent", "output": "dissidence", "possible_translations": [ "dissidence" ] }, "2618": { "input": "granddaughter", "output": "petite-fille", "possible_translations": [ "petite-fille" ] }, "2619": { "input": "advancement", "output": "progrès", "possible_translations": [ "progrès" ] }, "2620": { "input": "credibility", "output": "crédibilité", "possible_translations": [ "crédibilité" ] }, "2621": { "input": "excellence", "output": "excellence", "possible_translations": [ "excellence" ] }, "2622": { "input": "neglect", "output": "négligence", "possible_translations": [ "négligence", "négliger" ] }, "2623": { "input": "perfection", "output": "perfection", "possible_translations": [ "perfection" ] }, "2624": { "input": "forage", "output": "fourrager", "possible_translations": [ "fourrage", "fourrager", "fouiller" ] }, "2625": { "input": "voter", "output": "votant", "possible_translations": [ "votant" ] }, "2626": { "input": "hiking", "output": "randonnée pédestre", "possible_translations": [ "randonnée", "randonnée pédestre" ] }, "2627": { "input": "paperback", "output": "livre broché", "possible_translations": [ "broché", "livre broché" ] }, "2628": { "input": "witchcraft", "output": "sorcellerie", "possible_translations": [ "sorcellerie" ] }, "2629": { "input": "strand", "output": "brin", "possible_translations": [ "échouer", "grève", "brin", "mèche", "abandonner" ] }, "2630": { "input": "ceasefire", "output": "cessez-le-feu", "possible_translations": [ "trêve", "cessez-le-feu" ] }, "2631": { "input": "accompaniment", "output": "accompagnement", "possible_translations": [ "accompagnement" ] }, "2632": { "input": "periphery", "output": "périphérie", "possible_translations": [ "périphérie" ] }, "2633": { "input": "vapor", "output": "vapeur", "possible_translations": [ "vapeur" ] }, "2634": { "input": "inventor", "output": "inventeur", "possible_translations": [ "inventrice", "inventeur" ] }, "2635": { "input": "quartet", "output": "quatuor", "possible_translations": [ "quatuor", "quartette", "quadrille" ] }, "2636": { "input": "asset", "output": "actif", "possible_translations": [ "actif", "atout", "avoir" ] }, "2637": { "input": "posture", "output": "posture", "possible_translations": [ "posture" ] }, "2638": { "input": "container", "output": "récipient", "possible_translations": [ "container", "récipient", "contenant", "conteneur" ] }, "2639": { "input": "discontent", "output": "mécontentement", "possible_translations": [ "mécontentement", "protestation" ] }, "2640": { "input": "envelope", "output": "enveloppe", "possible_translations": [ "enveloppe" ] }, "2641": { "input": "cartoonist", "output": "dessinateur", "possible_translations": [ "dessinateur de bande dessinée", "dessinatrice de dessins animés", "dessinateur", "cartooniste dessinateur de dessins animés", "dessinatrice" ] }, "2642": { "input": "sailor", "output": "matelot", "possible_translations": [ "marin", "matelot" ] }, "2643": { "input": "diversion", "output": "diversion", "possible_translations": [ "diversion" ] }, "2644": { "input": "tumor", "output": "tumeur", "possible_translations": [ "tumeur" ] }, "2645": { "input": "landslide", "output": "glissement de terrain", "possible_translations": [ "glissement de terrain" ] }, "2646": { "input": "shelf", "output": "étagère", "possible_translations": [ "tablard", "étagère", "rayonnage", "rayon" ] }, "2647": { "input": "deterioration", "output": "détérioration", "possible_translations": [ "détérioration" ] }, "2648": { "input": "metabolism", "output": "métabolisme", "possible_translations": [ "métabolisme" ] }, "2649": { "input": "thorium", "output": "thorium", "possible_translations": [ "thorium" ] }, "2650": { "input": "echo", "output": "écho", "possible_translations": [ "écho" ] }, "2651": { "input": "stud", "output": "clou", "possible_translations": [ "boucle d'oreille", "étalon", "clou" ] }, "2652": { "input": "mathematician", "output": "mathématicien", "possible_translations": [ "mathématicien", "mathématicienne" ] }, "2653": { "input": "troupe", "output": "troupe", "possible_translations": [ "troupe" ] }, "2654": { "input": "expulsion", "output": "expulsion", "possible_translations": [ "expulsion" ] }, "2655": { "input": "concussion", "output": "commotion", "possible_translations": [ "commotion cérébrale", "choc", "commotion" ] }, "2656": { "input": "jewellery", "output": "joaillerie", "possible_translations": [ "bijoux", "joaillerie" ] }, "2657": { "input": "purity", "output": "pureté", "possible_translations": [ "pureté" ] }, "2658": { "input": "eclipse", "output": "éclipse", "possible_translations": [ "éclipser", "éclipse" ] }, "2659": { "input": "scheduling", "output": "planification", "possible_translations": [ "ordonnancement", "planification", "programmation" ] }, "2660": { "input": "compartment", "output": "compartiment", "possible_translations": [ "compartiment" ] }, "2661": { "input": "excuse", "output": "prétexte", "possible_translations": [ "excuser", "pardonner", "excuse", "justifier", "prétexte" ] }, "2662": { "input": "gateway", "output": "porte", "possible_translations": [ "porte", "gateway", "transition", "passerelle" ] }, "2663": { "input": "elbow", "output": "coude", "possible_translations": [ "coude", "jouer des coudes" ] }, "2664": { "input": "pardon", "output": "pardon", "possible_translations": [ "quoi", "excusez-moi", "grâce", "excuse-moi", "pardon", "comment?", "pardonner", "désolé", "gracier", "pardon?" ] }, "2665": { "input": "scent", "output": "odeur", "possible_translations": [ "sentir", "odeur" ] }, "2666": { "input": "rhetoric", "output": "rhétorique", "possible_translations": [ "rhétorique" ] }, "2667": { "input": "pot", "output": "pot", "possible_translations": [ "marie-jeanne", "chaudron", "beuh", "zamal", "marmite", "herbe", "pot", "beu", "mari" ] }, "2668": { "input": "restraint", "output": "frein", "possible_translations": [ "frein" ] }, "2669": { "input": "semifinal", "output": "demi-finale", "possible_translations": [ "demi-finale" ] }, "2670": { "input": "objection", "output": "objection", "possible_translations": [ "objection" ] }, "2671": { "input": "deficiency", "output": "déficience", "possible_translations": [ "déficience", "carence" ] }, "2672": { "input": "terrace", "output": "terrasse", "possible_translations": [ "terrasse", "gradins" ] }, "2673": { "input": "fertility", "output": "fertilité", "possible_translations": [ "fertilité" ] }, "2674": { "input": "chemist", "output": "chimiste", "possible_translations": [ "chimiste" ] }, "2675": { "input": "parrot", "output": "perroquet", "possible_translations": [ "perroquet", "répéter comme un perroquet", "perroqueter" ] }, "2676": { "input": "vernacular", "output": "langue vulgaire", "possible_translations": [ "en langage courant", "langue nationale", "dialecte", "langue vulgaire", "idiome", "patois", "vernaculaire" ] }, "2677": { "input": "smile", "output": "sourire", "possible_translations": [ "sourire" ] }, "2678": { "input": "luminosity", "output": "luminosité", "possible_translations": [ "luminosité" ] }, "2679": { "input": "float", "output": "flotteur", "possible_translations": [ "float", "nombre flottant", "flotter", "flottant", "char", "flotteur" ] }, "2680": { "input": "stallion", "output": "étalon", "possible_translations": [ "étalon" ] }, "2681": { "input": "supremacy", "output": "suprématie", "possible_translations": [ "suprématie" ] }, "2682": { "input": "bath", "output": "bain", "possible_translations": [ "bain", "baignoire", "salle de bains" ] }, "2683": { "input": "masculine", "output": "masculin", "possible_translations": [ "masculin" ] }, "2684": { "input": "builder", "output": "constructeur", "possible_translations": [ "bâtisseur", "constructeur" ] }, "2685": { "input": "consultation", "output": "consultation", "possible_translations": [ "consultation" ] }, "2686": { "input": "treasury", "output": "trésorerie", "possible_translations": [ "trésorerie" ] }, "2687": { "input": "neighbourhood", "output": "voisinage", "possible_translations": [ "quartier", "environs", "voisinage" ] }, "2688": { "input": "camping", "output": "camping", "possible_translations": [ "camping", "campisme" ] }, "2689": { "input": "conditioning", "output": "conditionnement", "possible_translations": [ "conditionnement" ] }, "2690": { "input": "magistrate", "output": "magistrat", "possible_translations": [ "magistrat" ] }, "2691": { "input": "bikini", "output": "bikini", "possible_translations": [ "bikini" ] }, "2692": { "input": "phosphate", "output": "phosphate", "possible_translations": [ "phosphate" ] }, "2693": { "input": "conscription", "output": "conscription", "possible_translations": [ "conscription" ] }, "2694": { "input": "schooling", "output": "scolarité", "possible_translations": [ "scolarité" ] }, "2695": { "input": "kidnapping", "output": "enlèvement", "possible_translations": [ "enlèvement", "kidnapping" ] }, "2696": { "input": "spray", "output": "embrun", "possible_translations": [ "gerbe", "rameau", "gouttelette", "embrun", "pulvériser", "branchette", "asperger", "vaporiser" ] }, "2697": { "input": "feminism", "output": "féminisme", "possible_translations": [ "féminisme" ] }, "2698": { "input": "capsule", "output": "capsule", "possible_translations": [ "gélule", "capsule" ] }, "2699": { "input": "recipe", "output": "recette", "possible_translations": [ "recette" ] }, "2700": { "input": "compliance", "output": "conformité", "possible_translations": [ "observance", "conformité" ] }, "2701": { "input": "sect", "output": "secte", "possible_translations": [ "secte" ] }, "2702": { "input": "brood", "output": "couvée", "possible_translations": [ "se morfondre", "couvée", "broyer du noir", "couver" ] }, "2703": { "input": "dopamine", "output": "dopamine", "possible_translations": [ "dopamine" ] }, "2704": { "input": "chip", "output": "chip", "possible_translations": [ "frite", "cocher", "micropuce", "brisure", "coche", "croustille", "chips", "briser", "chip" ] }, "2705": { "input": "tuition", "output": "cours", "possible_translations": [ "cours", "frais de scolarité" ] }, "2706": { "input": "silicon", "output": "silicium", "possible_translations": [ "silicium" ] }, "2707": { "input": "famine", "output": "famine", "possible_translations": [ "famine" ] }, "2708": { "input": "reinforcement", "output": "renfort", "possible_translations": [ "renfort" ] }, "2709": { "input": "dissatisfaction", "output": "insatisfaction", "possible_translations": [ "mécontentement", "insatisfaction" ] }, "2710": { "input": "denomination", "output": "dénomination", "possible_translations": [ "dénomination", "désignation" ] }, "2711": { "input": "basket", "output": "panier", "possible_translations": [ "panier" ] }, "2712": { "input": "insignia", "output": "insigne", "possible_translations": [ "insigne" ] }, "2713": { "input": "delta", "output": "delta", "possible_translations": [ "delta" ] }, "2714": { "input": "locality", "output": "quartier", "possible_translations": [ "quartier", "région", "voisinage" ] }, "2715": { "input": "stereotype", "output": "stéréotype", "possible_translations": [ "stéréotype", "stéréotyper", "cliché", "clicher" ] }, "2716": { "input": "litigation", "output": "litige", "possible_translations": [ "litige" ] }, "2717": { "input": "juice", "output": "jus", "possible_translations": [ "jus" ] }, "2718": { "input": "liability", "output": "responsabilité", "possible_translations": [ "passif", "responsabilité" ] }, "2719": { "input": "maid", "output": "bonne", "possible_translations": [ "servante", "jeune fille", "demoiselle", "bonne", "domestique", "bonne à tout faire" ] }, "2720": { "input": "certainty", "output": "certitude", "possible_translations": [ "certitude" ] }, "2721": { "input": "semester", "output": "semestre", "possible_translations": [ "semestre" ] }, "2722": { "input": "clutch", "output": "embrayage", "possible_translations": [ "serrer", "agripper", "embrayage", "nichée", "couvée", "pédale d'embrayage" ] }, "2723": { "input": "gut", "output": "panse", "possible_translations": [ "viscéral", "consistence f sg", "cordes de boyau", "vider de sa substance", "couilles", "cran m sg", "boyaux", "boyau", "panse", "vider", "éviscérer", "bedaine", "délabrer", "en boyau", "intestin", "bide" ] }, "2724": { "input": "trim", "output": "assiette", "possible_translations": [ "assiette", "tailler" ] }, "2725": { "input": "hazard", "output": "hasard", "possible_translations": [ "danger", "hasard", "tenter", "hasarder" ] }, "2726": { "input": "apple", "output": "pomme", "possible_translations": [ "pommier", "pomme" ] }, "2727": { "input": "grenade", "output": "grenade", "possible_translations": [ "grenade" ] }, "2728": { "input": "gag", "output": "haut-le-coeur", "possible_translations": [ "bâillonner", "haut-le-coeur", "bâillon", "avoir un haut-le-cœur" ] }, "2729": { "input": "brightness", "output": "intelligence", "possible_translations": [ "luminosité", "brillance", "intelligence" ] }, "2730": { "input": "imprint", "output": "informations légales", "possible_translations": [ "informations légales", "pavé de l'ours", "empreinte", "ours" ] }, "2731": { "input": "remark", "output": "remarque", "possible_translations": [ "remarque" ] }, "2732": { "input": "leap", "output": "saut", "possible_translations": [ "saut", "bondir", "bond", "sauter" ] }, "2733": { "input": "nonsense", "output": "non-sens", "possible_translations": [ "absurdité", "bêtise", "sottise", "non-sens" ] }, "2734": { "input": "prevalence", "output": "prédominance", "possible_translations": [ "prédominance" ] }, "2735": { "input": "backlash", "output": "retour de bâton", "possible_translations": [ "jeu", "retour de bâton" ] }, "2736": { "input": "toilet", "output": "toilettes", "possible_translations": [ "toilettes", "toilette", "cabinets", "w.-c.", "wc", "cabinet" ] }, "2737": { "input": "pile", "output": "pile", "possible_translations": [ "pile", "pieu", "tas", "monceau" ] }, "2738": { "input": "pad", "output": "coussinet", "possible_translations": [ "bloc", "taule", "pieu", "rembourrer", "coussinet", "piaule", "plume", "tampon", "paddock", "pavé numérique", "plumard", "clavier" ] }, "2739": { "input": "originality", "output": "originalité", "possible_translations": [ "originalité" ] }, "2740": { "input": "registry", "output": "registre", "possible_translations": [ "base de registre", "registre", "enregistrement" ] }, "2741": { "input": "verb", "output": "verbe", "possible_translations": [ "verbe" ] }, "2742": { "input": "casualty", "output": "victime", "possible_translations": [ "victime" ] }, "2743": { "input": "unification", "output": "unification", "possible_translations": [ "unification" ] }, "2744": { "input": "tuning", "output": "paramétrage", "possible_translations": [ "réglage", "paramétrage", "accordage", "tuning" ] }, "2745": { "input": "electorate", "output": "électorat", "possible_translations": [ "électorat" ] }, "2746": { "input": "bolster", "output": "traversin", "possible_translations": [ "traversin" ] }, "2747": { "input": "taxonomy", "output": "taxinomie", "possible_translations": [ "taxinomie" ] }, "2748": { "input": "turf", "output": "gazon", "possible_translations": [ "gazon", "hippodrome", "champ de courses", "une motte de gazon", "gazonner" ] }, "2749": { "input": "pony", "output": "poney", "possible_translations": [ "poney" ] }, "2750": { "input": "acceleration", "output": "accélération", "possible_translations": [ "accélération" ] }, "2751": { "input": "topography", "output": "topographie", "possible_translations": [ "topographie" ] }, "2752": { "input": "dairy", "output": "alimentation générale", "possible_translations": [ "laiterie ; laiterie", "laitière", "laitier", "dépanneur", "alimentation générale", "laiterie", "laitages", "crémerie", "crémerie ; produits laitiers" ] }, "2753": { "input": "mercy", "output": "miséricorde", "possible_translations": [ "miséricorde" ] }, "2754": { "input": "mapping", "output": "cartographie", "possible_translations": [ "cartographie" ] }, "2755": { "input": "hormone", "output": "hormone", "possible_translations": [ "hormone" ] }, "2756": { "input": "toe", "output": "doigt de pied", "possible_translations": [ "orteil", "doigt de pied" ] }, "2757": { "input": "sabotage", "output": "sabotage", "possible_translations": [ "sabotage", "saboter" ] }, "2758": { "input": "smuggling", "output": "trafique", "possible_translations": [ "trafique" ] }, "2759": { "input": "ratification", "output": "ratification", "possible_translations": [ "ratification" ] }, "2760": { "input": "forum", "output": "forum", "possible_translations": [ "forum" ] }, "2761": { "input": "telegram", "output": "télégramme", "possible_translations": [ "télégramme" ] }, "2762": { "input": "lizard", "output": "lézard", "possible_translations": [ "lézard" ] }, "2763": { "input": "butter", "output": "beurre", "possible_translations": [ "beurrer", "beurre" ] }, "2764": { "input": "doctorate", "output": "doctorat", "possible_translations": [ "doctorat" ] }, "2765": { "input": "convenience", "output": "commodité", "possible_translations": [ "commodité", "avantage" ] }, "2766": { "input": "exposition", "output": "exposition", "possible_translations": [ "exposition" ] }, "2767": { "input": "readiness", "output": "état de préparation", "possible_translations": [ "état de préparation", "préparation" ] }, "2768": { "input": "computing", "output": "computation", "possible_translations": [ "informatique", "utilisation d'un ordinateur", "computation" ] }, "2769": { "input": "ribbon", "output": "ruban", "possible_translations": [ "ruban" ] }, "2770": { "input": "pornography", "output": "pornographie", "possible_translations": [ "pornographie" ] }, "2771": { "input": "pulse", "output": "pouls", "possible_translations": [ "pouls" ] }, "2772": { "input": "pepper", "output": "poivrier", "possible_translations": [ "poivrier", "assaisonner de poivre", "poivrer", "poivre" ] }, "2773": { "input": "injunction", "output": "injonction", "possible_translations": [ "injonction" ] }, "2774": { "input": "productivity", "output": "productivité", "possible_translations": [ "productivité" ] }, "2775": { "input": "discourse", "output": "discours", "possible_translations": [ "conversation", "exposé", "discussion", "discours" ] }, "2776": { "input": "doorway", "output": "embrasure de la porte", "possible_translations": [ "embrasure de la porte" ] }, "2777": { "input": "distortion", "output": "distorsion", "possible_translations": [ "aberration", "corruption", "distorsion", "déformation" ] }, "2778": { "input": "grape", "output": "raisin", "possible_translations": [ "raisin", "vigne" ] }, "2779": { "input": "whaling", "output": "chasse à la baleine", "possible_translations": [ "chasse à la baleine" ] }, "2780": { "input": "heel", "output": "talon", "possible_translations": [ "croûton", "talon", "talonner", "quignon" ] }, "2781": { "input": "secrecy", "output": "secret", "possible_translations": [ "secret" ] }, "2782": { "input": "wavelength", "output": "longueur d'onde", "possible_translations": [ "longueur d'onde" ] }, "2783": { "input": "arbitration", "output": "arbitrage", "possible_translations": [ "arbitrage" ] }, "2784": { "input": "nectar", "output": "nectar", "possible_translations": [ "nectar" ] }, "2785": { "input": "prevention", "output": "prévention", "possible_translations": [ "prévention" ] }, "2786": { "input": "fringe", "output": "frange", "possible_translations": [ "marginal", "radicaux", "théâtre d'avant-garde", "périphérie", "franger", "frange", "théâtre alternatif" ] }, "2787": { "input": "lockout", "output": "lock-out", "possible_translations": [ "lockout", "grève patronale", "lock-out" ] }, "2788": { "input": "transcription", "output": "transcription", "possible_translations": [ "transcription" ] }, "2789": { "input": "whistle", "output": "sifflet", "possible_translations": [ "sifflements", "sifflement", "sifflet", "siffler" ] }, "2790": { "input": "spear", "output": "harpon", "possible_translations": [ "harpon", "lance" ] }, "2791": { "input": "hint", "output": "indication", "possible_translations": [ "soupçon", "indication", "faire allusion" ] }, "2792": { "input": "boot", "output": "copie pirate", "possible_translations": [ "vomir", "bottine", "déconnecter", "expulser", "démarrer", "botter", "botte", "copie pirate" ] }, "2793": { "input": "promoter", "output": "promoteur", "possible_translations": [ "promoteur" ] }, "2794": { "input": "nationality", "output": "nationalité", "possible_translations": [ "nationalité" ] }, "2795": { "input": "puck", "output": "palet", "possible_translations": [ "rondelle", "galet", "palet" ] }, "2796": { "input": "titanium", "output": "titane", "possible_translations": [ "titane" ] }, "2797": { "input": "waist", "output": "taille", "possible_translations": [ "taille", "ceinture" ] }, "2798": { "input": "classroom", "output": "salle de classe", "possible_translations": [ "salle de classe" ] }, "2799": { "input": "algae", "output": "algues", "possible_translations": [ "algues" ] }, "2800": { "input": "irony", "output": "ironie", "possible_translations": [ "ironie du sort", "ironie", "ferreux" ] }, "2801": { "input": "tap", "output": "dérivation", "possible_translations": [ "dérivation", "taper", "tarauder", "tirer", "bouchon", "taraud", "robinet" ] }, "2802": { "input": "intro", "output": "intro", "possible_translations": [ "intro" ] }, "2803": { "input": "consul", "output": "consul", "possible_translations": [ "consul" ] }, "2804": { "input": "imitation", "output": "imitation", "possible_translations": [ "imitation" ] }, "2805": { "input": "acquaintance", "output": "relation", "possible_translations": [ "fréquentation", "accointance", "relation" ] }, "2806": { "input": "destiny", "output": "destinée", "possible_translations": [ "destinée", "destin" ] }, "2807": { "input": "rigging", "output": "gréement", "possible_translations": [ "gréement" ] }, "2808": { "input": "convict", "output": "bagnard", "possible_translations": [ "bagnard", "reconnaître coupable", "condamné" ] }, "2809": { "input": "boiling", "output": "ébullition", "possible_translations": [ "bouillant", "ébullition" ] }, "2810": { "input": "courtesy", "output": "indulgence", "possible_translations": [ "indulgence", "politesse", "courtoisie" ] }, "2811": { "input": "interlude", "output": "interlude", "possible_translations": [ "interlude" ] } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/induce/word_in_context.json ================================================ { "metadata": { "num_examples": 4084 }, "examples": { "1": { "input": "Sentence 1: Approach a task. Sentence 2: To approach the city. Word: approach", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2": { "input": "Sentence 1: Run rogue. Sentence 2: She ran 10 miles that day. Word: run", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3": { "input": "Sentence 1: We like to summer in the Mediterranean. Sentence 2: We summered in Kashmir. Word: summer", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4": { "input": "Sentence 1: His horse won by a head. Sentence 2: He is two heads taller than his little sister. Word: head", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "5": { "input": "Sentence 1: The company agrees to meet the cost of any repairs. Sentence 2: This proposal meets my requirements. Word: meet", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "6": { "input": "Sentence 1: The organism has reached a crucial stage in its development. Sentence 2: Our news team brings you the latest developments. Word: development", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "7": { "input": "Sentence 1: The governor should act on the new energy bill. Sentence 2: Think before you act. Word: act", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "8": { "input": "Sentence 1: Port the helm. Sentence 2: Port arms! Word: port", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "9": { "input": "Sentence 1: Fall into a trap. Sentence 2: She fell to pieces after she lost her work. Word: fall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "10": { "input": "Sentence 1: The boat had a metallic finish. Sentence 2: He applied a coat of a clear finish. Word: finish", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "11": { "input": "Sentence 1: Clothes make the man. Sentence 2: This makes the third infraction. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "12": { "input": "Sentence 1: Dress the windows. Sentence 2: Marlene dressed herself. Word: dress", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "13": { "input": "Sentence 1: Strike a medal. Sentence 2: The boxer struck the attacker dead. Word: strike", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "14": { "input": "Sentence 1: Under the head of minor Roman poets. Sentence 2: They tracked him back toward the head of the stream. Word: head", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "15": { "input": "Sentence 1: He can hold his liquor. Sentence 2: The auditorium can't hold more than 500 people. Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "16": { "input": "Sentence 1: Spill the milk. Sentence 2: The former employee spilled all the details. Word: spill", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "17": { "input": "Sentence 1: Beat one's foot rhythmically. Sentence 2: I beat the traffic. Word: beat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "18": { "input": "Sentence 1: The voice of the law. Sentence 2: Conservatism has many voices. Word: voice", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "19": { "input": "Sentence 1: Hit a ball. Sentence 2: He hit a home run. Word: hit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "20": { "input": "Sentence 1: He knocked lightly on the closed door of the study. Sentence 2: He is a quick study. Word: study", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "21": { "input": "Sentence 1: It can be tricky to land a helicopter. Sentence 2: Use the net to land the fish. Word: land", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "22": { "input": "Sentence 1: They make a cute couple. Sentence 2: One swallow does not a summer make. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "23": { "input": "Sentence 1: She was vice-presidential material. Sentence 2: He was university material. Word: material", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "24": { "input": "Sentence 1: He was suffering from museum fatigue. Sentence 2: The American public is experiencing scandal fatigue. Word: fatigue", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "25": { "input": "Sentence 1: Begin a new chapter in your life. Sentence 2: Begin a cigar. Word: begin", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "26": { "input": "Sentence 1: The solution took three hours. Sentence 2: They were trying to find a peaceful solution. Word: solution", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "27": { "input": "Sentence 1: They stopped at an open space in the jungle. Sentence 2: The astronauts walked in outer space without a tether. Word: space", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "28": { "input": "Sentence 1: He is still recovering from a shot to his leg. Sentence 2: I caught him with a solid shot to the chin. Word: shot", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "29": { "input": "Sentence 1: A riding academy. Sentence 2: Academies of literature and philology. Word: academy", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "30": { "input": "Sentence 1: Catch fire. Sentence 2: The bucket catches water from the downspout. Word: catch", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "31": { "input": "Sentence 1: Here I stand, wondering what to do next. Sentence 2: There stood on the corner a statue. Word: stand", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "32": { "input": "Sentence 1: Pull the oars. Sentence 2: Pull the trigger of the gun. Word: pull", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "33": { "input": "Sentence 1: A bald spot. Sentence 2: A leopard's spots. Word: spot", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "34": { "input": "Sentence 1: He hit a home run. Sentence 2: He hit .300 in the past season. Word: hit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "35": { "input": "Sentence 1: Point the letter. Sentence 2: The dancers toes pointed outward. Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "36": { "input": "Sentence 1: The ball hit the fence. Sentence 2: I hit the jackpot. Word: hit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "37": { "input": "Sentence 1: The book wallah. Sentence 2: A kitchen wallah. Word: wallah", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "38": { "input": "Sentence 1: In the abdominal region. Sentence 2: The temperate regions. Word: region", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "39": { "input": "Sentence 1: These bonds carry warrants. Sentence 2: This new washer carries a two year guarantee. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "40": { "input": "Sentence 1: Raise the question of promotions. Sentence 2: Raise from the dead. Word: raise", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "41": { "input": "Sentence 1: Keep appointments. Sentence 2: We kept to the original conditions of the contract. Word: keep", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "42": { "input": "Sentence 1: She may not make the grade. Sentence 2: He made twenty bucks playing poker last night. Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "43": { "input": "Sentence 1: Use the plastic bags to store the food. Sentence 2: We can use this mathematical formula to solve the problem. Word: use", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "44": { "input": "Sentence 1: The cycle of the seasons, or of the year. Sentence 2: The never-ending cycle of the seasons. Word: cycle", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "45": { "input": "Sentence 1: The round of the seasons. Sentence 2: The story is going the rounds in Washington. Word: round", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "46": { "input": "Sentence 1: Roll out the paper. Sentence 2: The drawer rolled open. Word: roll", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "47": { "input": "Sentence 1: I shall be writing to you soon. Sentence 2: 3 times 5 is fifteen. Word: be", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "48": { "input": "Sentence 1: Paul laughed a cheerful laugh. Sentence 2: She laughed her excitement. Word: laugh", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "49": { "input": "Sentence 1: Our advertisements reach millions. Sentence 2: His hand reaches the river. Word: reach", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "50": { "input": "Sentence 1: A wall of prejudice. Sentence 2: The container's walls were blue. Word: wall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "51": { "input": "Sentence 1: The change was intended to increase sales. Sentence 2: This storm is certainly a change for the worse. Word: change", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "52": { "input": "Sentence 1: This project is his baby. Sentence 2: Stand up for yourself-don't be such a baby! Word: baby", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "53": { "input": "Sentence 1: Settling a score. Sentence 2: The player with the highest score is the winner. Word: score", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "54": { "input": "Sentence 1: The owners decided to move and to close the factory. Sentence 2: My business closes every night at 8 P.M. Word: close", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "55": { "input": "Sentence 1: Go about the world in a certain manner. Sentence 2: We should go farther in this matter. Word: go", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "56": { "input": "Sentence 1: Payments fall on the 1st of the month. Sentence 2: Night fell. Word: fall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "57": { "input": "Sentence 1: The employer wants to cut back health benefits. Sentence 2: Cut trenches. Word: cut", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "58": { "input": "Sentence 1: Do you know my sister? Sentence 2: I know him under a different name. Word: know", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "59": { "input": "Sentence 1: It can be tricky to land a helicopter. Sentence 2: This may land you in jail. Word: land", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "60": { "input": "Sentence 1: Rake gravel. Sentence 2: The gunfire raked the coast. Word: rake", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "61": { "input": "Sentence 1: He could tell that she was unhappy. Sentence 2: She told him how he did it. Word: tell", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "62": { "input": "Sentence 1: The astronauts walked in outer space without a tether. Sentence 2: The space between his teeth. Word: space", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "63": { "input": "Sentence 1: It started to snow. Sentence 2: It is snowing. Word: snow", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "64": { "input": "Sentence 1: She didn't leave until midnight. Sentence 2: Leave the flowers that you see in the park behind. Word: leave", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "65": { "input": "Sentence 1: They called for artillery support. Sentence 2: He applied to the state for support. Word: support", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "66": { "input": "Sentence 1: Steve is a boy of 16. Sentence 2: She made the boy brush his teeth every night. Word: boy", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "67": { "input": "Sentence 1: Give an excuse. Sentence 2: What will you give her for her birthday? Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "68": { "input": "Sentence 1: He gave his fingers a snap. Sentence 2: Servants appeared at the snap of his fingers. Word: snap", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "69": { "input": "Sentence 1: Take a scene. Sentence 2: Take a test. Word: take", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "70": { "input": "Sentence 1: Energy can take a wide variety of forms. Sentence 2: Europeans often laugh at American energy. Word: energy", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "71": { "input": "Sentence 1: Brim a cup to good fellowship. Sentence 2: The room brimmed with people. Word: brim", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "72": { "input": "Sentence 1: I'll hold you by your promise. Sentence 2: He's held by a contract. Word: hold", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "73": { "input": "Sentence 1: Mineral origin. Sentence 2: Vegetable origins. Word: origin", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "74": { "input": "Sentence 1: You should see a lawyer. Sentence 2: We had to see a psychiatrist. Word: see", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "75": { "input": "Sentence 1: Patch the skirt. Sentence 2: The field was patched with snow. Word: patch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "76": { "input": "Sentence 1: At that point I had to leave. Sentence 2: To fall off a point. Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "77": { "input": "Sentence 1: Tickets are $5 per head. Sentence 2: He is two heads taller than his little sister. Word: head", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "78": { "input": "Sentence 1: Strike a bargain. Sentence 2: Strike fire from the flintstone. Word: strike", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "79": { "input": "Sentence 1: A unit of wheat is a bushel. Sentence 2: He was a member of a special police unit. Word: unit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "80": { "input": "Sentence 1: Shoot a movie. Sentence 2: Shoot a basket. Word: shoot", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "81": { "input": "Sentence 1: A good title to an estate, or an imperfect title. Sentence 2: His title to fame. Word: title", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "82": { "input": "Sentence 1: This speech didn't play well with the American public. Sentence 2: Play football. Word: play", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "83": { "input": "Sentence 1: Drive the cows into the barn. Sentence 2: Their debts finally drove them to sell the business. Word: drive", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "84": { "input": "Sentence 1: To make like a deer caught in the headlights. Sentence 2: He will make a splendid father! Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "85": { "input": "Sentence 1: Shoot a basket. Sentence 2: Shoot a goal. Word: shoot", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "86": { "input": "Sentence 1: Now the conductor will couple the train cars. Sentence 2: I've coupled our system to theirs. Word: couple", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "87": { "input": "Sentence 1: The word \"kerosine\" is a variant of \"kerosene\". Sentence 2: A variant of the same word. Word: variant", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "88": { "input": "Sentence 1: Can you work an electric drill? Sentence 2: Work the metal into a sword. Word: work", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "89": { "input": "Sentence 1: The application of maximum thrust. Sentence 2: Massage has far-reaching medical applications. Word: application", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "90": { "input": "Sentence 1: Fall into a trap. Sentence 2: They fell out of favor. Word: fall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "91": { "input": "Sentence 1: The pull of the moon. Sentence 2: Iron fillings drawn by the pull of a magnet. Word: pull", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "92": { "input": "Sentence 1: The story is false, so far as I can discover. Sentence 2: I discovered what to do. Word: discover", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "93": { "input": "Sentence 1: In the interest of safety. Sentence 2: Victorian furniture is an interest of mine. Word: interest", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "94": { "input": "Sentence 1: Come into the room. Sentence 2: He came from France. Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "95": { "input": "Sentence 1: He started the company in his garage. Sentence 2: He only invests in large well-established companies. Word: company", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "96": { "input": "Sentence 1: The course of the river. Sentence 2: He took a course in basket weaving. Word: course", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "97": { "input": "Sentence 1: He had a bowel movement. Sentence 2: It was an expensive watch with a diamond movement. Word: movement", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "98": { "input": "Sentence 1: It takes time to learn the setup around here. Sentence 2: The laboratory included an elaborate setup for measuring the energy. Word: setup", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "99": { "input": "Sentence 1: Float the plaster. Sentence 2: The balloon floated off into the distance. Word: float", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "100": { "input": "Sentence 1: The pursuit of love. Sentence 2: Unremitting pursuit of wealth doesn't bring happiness, particularly if successful. Word: pursuit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "101": { "input": "Sentence 1: Call a football game. Sentence 2: She was called into the director's office. Word: call", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "102": { "input": "Sentence 1: A filming session. Sentence 2: A gossip session. Word: session", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "103": { "input": "Sentence 1: He is an avid collector of nineteenth-century postage stamps. Sentence 2: That old piano is just a big dust collector. Word: collector", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "104": { "input": "Sentence 1: A point of information. Sentence 2: Get to the point. Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "105": { "input": "Sentence 1: The unkindest cut of all. Sentence 2: The mayor proposed extensive cuts in the city budget. Word: cut", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "106": { "input": "Sentence 1: In the deep of winter. Sentence 2: In the deep of night. Word: deep", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "107": { "input": "Sentence 1: I want to get there early; let's roll. Sentence 2: The drawer rolled open. Word: roll", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "108": { "input": "Sentence 1: Point a gun. Sentence 2: Point the letter. Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "109": { "input": "Sentence 1: We vaccinate against scarlet fever. Sentence 2: The nurse vaccinated the children in the school. Word: vaccinate", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "110": { "input": "Sentence 1: I'm really seeing you in a different light today. Sentence 2: The light of my life. Word: light", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "111": { "input": "Sentence 1: Don't go outside wearing just a t-shirt; you'll freeze! Sentence 2: Freeze the leftover food. Word: freeze", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "112": { "input": "Sentence 1: Order a work stoppage. Sentence 2: Order me some flowers. Word: order", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "113": { "input": "Sentence 1: You are trying my patience. Sentence 2: Try the yak butter. Word: try", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "114": { "input": "Sentence 1: An air of mystery. Sentence 2: The program was on the air from 9 til midnight. Word: air", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "115": { "input": "Sentence 1: A formation of planes. Sentence 2: A defensive formation. Word: formation", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "116": { "input": "Sentence 1: I can see a risk in this strategy. Sentence 2: We went to see the Eiffel Tower in the morning. Word: see", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "117": { "input": "Sentence 1: Vermont will open elk hunting season next week. Sentence 2: An opportunity opened up. Word: open", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "118": { "input": "Sentence 1: Clear the leaves from the lawn. Sentence 2: Clear snow from the road. Word: clear", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "119": { "input": "Sentence 1: You had better pack your swollen ankle with ice. Sentence 2: Pack the books into the boxes. Word: pack", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "120": { "input": "Sentence 1: Fall into a strange way of thinking. Sentence 2: Fall in love. Word: fall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "121": { "input": "Sentence 1: She knows how to work the system. Sentence 2: This old radio doesn't work anymore. Word: work", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "122": { "input": "Sentence 1: Develop a passion for painting. Sentence 2: Please develop this roll of film. Word: develop", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "123": { "input": "Sentence 1: Can you give me lessons? Sentence 2: I gave her my money. Word: give", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "124": { "input": "Sentence 1: He has a lot of interest in vintage cars. Sentence 2: Victorian furniture is an interest of mine. Word: interest", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "125": { "input": "Sentence 1: Artists must study the structure of the human body. Sentence 2: His lectures have no structure. Word: structure", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "126": { "input": "Sentence 1: Nothing good will come of this. Sentence 2: Come down here! Word: come", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "127": { "input": "Sentence 1: To admit a serious thought into the mind. Sentence 2: She admitted us. Word: admit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "128": { "input": "Sentence 1: A lot of money. Sentence 2: He bought a lot on the lake. Word: lot", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "129": { "input": "Sentence 1: Chief of Staff is the second-highest position in the army. Sentence 2: Atheists do not enjoy a favorable position in American life. Word: position", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "130": { "input": "Sentence 1: I can feel the sadness in his poems. Sentence 2: It feels nice to be home again. Word: feel", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "131": { "input": "Sentence 1: He was suffering from museum fatigue. Sentence 2: Political fatigue. Word: fatigue", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "132": { "input": "Sentence 1: The dog's woolly shag. Sentence 2: He bought a shag rug. Word: shag", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "133": { "input": "Sentence 1: Plug the hole. Sentence 2: He attempted to plug the leaks with some caulk. Word: plug", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "134": { "input": "Sentence 1: Can you count the books on your shelf? Sentence 2: I can count my colleagues in the opposition. Word: count", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "135": { "input": "Sentence 1: The gods assume human or animal form in these fables. Sentence 2: She assumed indifference, even though she was seething with anger. Word: assume", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "136": { "input": "Sentence 1: The car is so dirty, we need to wash it. Sentence 2: He washed the dirt from his coat. Word: wash", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "137": { "input": "Sentence 1: Give thought to. Sentence 2: The roof finally gave under the weight of the ice. Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "138": { "input": "Sentence 1: I spent my spring holidays in Morocco. Sentence 2: He will hold office until the spring of next year. Word: spring", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "139": { "input": "Sentence 1: Cut orders. Sentence 2: Cut a caper. Word: cut", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "140": { "input": "Sentence 1: What do we have here? Sentence 2: I have two years left. Word: have", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "141": { "input": "Sentence 1: The head of the compass needle is pointing due north. Sentence 2: 200 head of cattle. Word: head", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "142": { "input": "Sentence 1: The number of parameters is small. Sentence 2: He had a number of chores to do. Word: number", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "143": { "input": "Sentence 1: She knows how to work the system. Sentence 2: Is your husband working again? Word: work", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "144": { "input": "Sentence 1: We raise hogs here. Sentence 2: Raise the price of bread. Word: raise", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "145": { "input": "Sentence 1: He played baseball in high school. Sentence 2: There was a baseball game on every empty lot. Word: baseball", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "146": { "input": "Sentence 1: He is the best one. Sentence 2: Driver, noun: one who drives. Word: one", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "147": { "input": "Sentence 1: Rub oil into her skin. Sentence 2: I rubbed the cloth over the glass. Word: rub", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "148": { "input": "Sentence 1: I've been suffering your insults for years. Sentence 2: He suffered the penalty. Word: suffer", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "149": { "input": "Sentence 1: The teacher asked how many people made up his home. Sentence 2: Deliver the package to my home. Word: home", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "150": { "input": "Sentence 1: Give thought to. Sentence 2: Give priority to. Word: give", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "151": { "input": "Sentence 1: Immolate the valuables at the temple. Sentence 2: The Aztecs immolated human victims. Word: immolate", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "152": { "input": "Sentence 1: Draw a conclusion. Sentence 2: He spent the day drawing in the garden. Word: draw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "153": { "input": "Sentence 1: Bind the books in leather. Sentence 2: The hydrogen binds the oxygen. Word: bind", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "154": { "input": "Sentence 1: He was on the heavy side. Sentence 2: It brought out his better side. Word: side", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "155": { "input": "Sentence 1: They stopped at an open space in the jungle. Sentence 2: They tested his ability to locate objects in space. Word: space", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "156": { "input": "Sentence 1: The clarinet was out of tune. Sentence 2: He can not sing in tune. Word: tune", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "157": { "input": "Sentence 1: Night spot. Sentence 2: A leopard's spots. Word: spot", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "158": { "input": "Sentence 1: Can you take this bag, please. Sentence 2: Take the case of China. Word: take", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "159": { "input": "Sentence 1: She can hold an audience spellbound. Sentence 2: This story held our interest. Word: hold", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "160": { "input": "Sentence 1: She didn't think to harm me. Sentence 2: We thought to return early that night. Word: think", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "161": { "input": "Sentence 1: Charge a conductor. Sentence 2: The speaker charged up the crowd with his inflammatory remarks. Word: charge", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "162": { "input": "Sentence 1: Did you see today's newspaper? Sentence 2: Today is beautiful. Word: today", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "163": { "input": "Sentence 1: Remove a threat. Sentence 2: Doug removed the smudges. Word: remove", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "164": { "input": "Sentence 1: A check on its dependability under stress. Sentence 2: He paid all his bills by check. Word: check", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "165": { "input": "Sentence 1: I tried to call you all night. Sentence 2: The new dean calls meetings every week. Word: call", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "166": { "input": "Sentence 1: The lines converge at this point. Sentence 2: The crowd converged on the movie star. Word: converge", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "167": { "input": "Sentence 1: I know him under a different name. Sentence 2: We know this movie. Word: know", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "168": { "input": "Sentence 1: Do you take me for a fool? Sentence 2: He was often taken to be a man of means. Word: take", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "169": { "input": "Sentence 1: Fall by the wayside. Sentence 2: We must stand or fall. Word: fall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "170": { "input": "Sentence 1: Hunger for affection. Sentence 2: I have a hunger to win. Word: hunger", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "171": { "input": "Sentence 1: Drive the game. Sentence 2: He drives a bread truck. Word: drive", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "172": { "input": "Sentence 1: Mothers fondle their babies. Sentence 2: They fondled in the back seat of the taxi. Word: fondle", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "173": { "input": "Sentence 1: He is on the purchasing side of the business. Sentence 2: Look on the bright side. Word: side", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "174": { "input": "Sentence 1: You drive nails into wood with a hammer. Sentence 2: Their debts finally drove them to sell the business. Word: drive", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "175": { "input": "Sentence 1: Burn garbage. Sentence 2: The car burns only Diesel oil. Word: burn", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "176": { "input": "Sentence 1: Drive the forest. Sentence 2: She drove me to school every day. Word: drive", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "177": { "input": "Sentence 1: Catch one's breath. Sentence 2: I caught some Z's on the train. Word: catch", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "178": { "input": "Sentence 1: The Holocaust was insanity on an enormous scale. Sentence 2: There are some who question the scale of our ambitions. Word: scale", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "179": { "input": "Sentence 1: An advance in health or knowledge. Sentence 2: She rejected his advances. Word: advance", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "180": { "input": "Sentence 1: To admit evidence in the trial of a cause. Sentence 2: We can not admit non-members into our club building. Word: admit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "181": { "input": "Sentence 1: Raise a mutiny. Sentence 2: Raised edges. Word: raise", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "182": { "input": "Sentence 1: She has a thing about him. Sentence 2: He has a thing about seafood. Word: thing", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "183": { "input": "Sentence 1: The doctor-patient relationship is based on trust. Sentence 2: He betrayed their trust. Word: trust", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "184": { "input": "Sentence 1: A high-pitched voice that could shatter glass. Sentence 2: The old oak tree has been shattered by lightning. Word: shatter", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "185": { "input": "Sentence 1: I think that he is her boyfriend. Sentence 2: I think he is very smart. Word: think", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "186": { "input": "Sentence 1: May God keep you. Sentence 2: The student was kept after school. Word: keep", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "187": { "input": "Sentence 1: He stared as she buttoned her top. Sentence 2: Put your books on top of the desk. Word: top", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "188": { "input": "Sentence 1: They joined the wagon train for safety. Sentence 2: The bride's train was carried by her two young nephews. Word: train", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "189": { "input": "Sentence 1: The formation of sentences. Sentence 2: A defensive formation. Word: formation", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "190": { "input": "Sentence 1: Begin a cigar. Sentence 2: My property begins with the three maple trees. Word: begin", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "191": { "input": "Sentence 1: Her former friends now avoid her. Sentence 2: We avoided the area. Word: avoid", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "192": { "input": "Sentence 1: This guy can press 300 pounds. Sentence 2: She is pressing her opponent but will eventually lose. Word: press", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "193": { "input": "Sentence 1: Hastened the period of time of his recovery. Sentence 2: In England they call a period a stop. Word: period", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "194": { "input": "Sentence 1: Accept students for graduate study. Sentence 2: I can not accept your invitation. Word: accept", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "195": { "input": "Sentence 1: A few words would answer. Sentence 2: She answered the door. Word: answer", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "196": { "input": "Sentence 1: A filming session. Sentence 2: A training session. Word: session", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "197": { "input": "Sentence 1: Shovel sand. Sentence 2: He shovelled in the backyard all afternoon long. Word: shovel", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "198": { "input": "Sentence 1: Raise a siege. Sentence 2: Raise a family. Word: raise", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "199": { "input": "Sentence 1: Haul nets. Sentence 2: Haul stones. Word: haul", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "200": { "input": "Sentence 1: Break the cycle of poverty. Sentence 2: The first winter storm broke over New York. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "201": { "input": "Sentence 1: They put it into containers for ease of transportation. Sentence 2: A life of luxury and ease. Word: ease", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "202": { "input": "Sentence 1: Fall by the wayside. Sentence 2: Christmas falls on a Monday this year. Word: fall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "203": { "input": "Sentence 1: Swing forward. Sentence 2: This action swung many votes over to his side. Word: swing", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "204": { "input": "Sentence 1: He's always stuffing his face with chips. Sentence 2: Dew dripped from the face of the leaf. Word: face", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "205": { "input": "Sentence 1: Tomorrow the doctor will take the cast off her arm. Sentence 2: He took off his shoes. Word: take", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "206": { "input": "Sentence 1: Did you catch the thief? Sentence 2: He caught her staring out the window. Word: catch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "207": { "input": "Sentence 1: Tomorrow the doctor will take the cast off her arm. Sentence 2: Take the gun from your pocket. Word: take", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "208": { "input": "Sentence 1: My students range from very bright to dull. Sentence 2: The instruments ranged from tuba to cymbals. Word: range", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "209": { "input": "Sentence 1: Please focus on your studies and not on your hobbies. Sentence 2: We focused on it. Word: focus", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "210": { "input": "Sentence 1: Now we have a fine mess. Sentence 2: What do we have here? Word: have", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "211": { "input": "Sentence 1: He sailed around the world. Sentence 2: All the world loves a lover. Word: world", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "212": { "input": "Sentence 1: A life of luxury and ease. Sentence 2: He passed all the exams with ease. Word: ease", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "213": { "input": "Sentence 1: These dyes and colors are guaranteed not to run. Sentence 2: The sale will run for ten days. Word: run", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "214": { "input": "Sentence 1: He came to a bad end. Sentence 2: The end of the pier. Word: end", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "215": { "input": "Sentence 1: Many children join a sports club. Sentence 2: Most politicians have joined a party. Word: join", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "216": { "input": "Sentence 1: They agreed about the difficulty of the climb. Sentence 2: Finished the test only with great difficulty. Word: difficulty", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "217": { "input": "Sentence 1: Pottery was his life. Sentence 2: He appointed himself emperor for life. Word: life", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "218": { "input": "Sentence 1: Your wish will come true. Sentence 2: The shoes came untied. Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "219": { "input": "Sentence 1: He wrote on the flap of the envelope. Sentence 2: The flap of a wing. Word: flap", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "220": { "input": "Sentence 1: The two buildings touch. Sentence 2: Their hands touched. Word: touch", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "221": { "input": "Sentence 1: The price of gasoline. Sentence 2: I paid a high price for my folly. Word: price", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "222": { "input": "Sentence 1: These pipes carry waste water into the river. Sentence 2: This paper carries a restaurant review. Word: carry", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "223": { "input": "Sentence 1: Keep potatoes fresh. Sentence 2: I can not keep track of all my employees. Word: keep", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "224": { "input": "Sentence 1: Can I buy you a drink? Sentence 2: Drink was his downfall. Word: drink", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "225": { "input": "Sentence 1: Whet my appetite. Sentence 2: To whet one's appetite or one's courage. Word: whet", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "226": { "input": "Sentence 1: Lie dormant. Sentence 2: The book lies on the table. Word: lie", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "227": { "input": "Sentence 1: It was just smoke and mirrors. Sentence 2: His dreams all turned to smoke. Word: smoke", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "228": { "input": "Sentence 1: We are in accord with your proposal. Sentence 2: The accord of light and shade in painting. Word: accord", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "229": { "input": "Sentence 1: Please write to me every week. Sentence 2: Your son has been writing on the wall. Word: write", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "230": { "input": "Sentence 1: The wheels sang their song as the train rocketed ahead. Sentence 2: The song of bullets was in the air. Word: song", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "231": { "input": "Sentence 1: The opening received good critical reviews. Sentence 2: The opening established the basic theme. Word: opening", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "232": { "input": "Sentence 1: Earth the circuit. Sentence 2: That noise is because the amplifier is not properly earthed. Word: earth", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "233": { "input": "Sentence 1: This move will simplify our lives. Sentence 2: We had to simplify the instructions. Word: simplify", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "234": { "input": "Sentence 1: They paid taxes on every stage of the operation. Sentence 2: A large-scale farming operation. Word: operation", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "235": { "input": "Sentence 1: Hold your temper. Sentence 2: The canteen holds fresh water. Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "236": { "input": "Sentence 1: The school was built in 1932. Sentence 2: Our children attend a public school in our neighborhood. Word: school", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "237": { "input": "Sentence 1: Throw a frisbee. Sentence 2: Jane threw dinner together. Word: throw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "238": { "input": "Sentence 1: Do you want to work after the age of 60? Sentence 2: My wife never worked. Word: work", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "239": { "input": "Sentence 1: They stopped at an open space in the jungle. Sentence 2: The space between his teeth. Word: space", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "240": { "input": "Sentence 1: Do you know the way to the airport? Sentence 2: They split the loot three ways. Word: way", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "241": { "input": "Sentence 1: We simply could not start the engine. Sentence 2: Start a foundation. Word: start", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "242": { "input": "Sentence 1: Will you pay cash or charge the purchase? Sentence 2: Charge all weapons, shields, and banners. Word: charge", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "243": { "input": "Sentence 1: I shall be writing to you soon. Sentence 2: We liked to chat while we were eating. Word: be", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "244": { "input": "Sentence 1: Did you get it? Sentence 2: It must be getting more serious. Word: get", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "245": { "input": "Sentence 1: Pull the string gently. Sentence 2: Pull the rope. Word: pull", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "246": { "input": "Sentence 1: The automobile reduced the demand for buggywhips. Sentence 2: There were many demands on his time. Word: demand", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "247": { "input": "Sentence 1: Lift the box onto the table. Sentence 2: I lifted the books. Word: lift", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "248": { "input": "Sentence 1: Can you connect the two loudspeakers? Sentence 2: This computer will connect well to the network. Word: connect", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "249": { "input": "Sentence 1: You had better pack your swollen ankle with ice. Sentence 2: Pack the faucet. Word: pack", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "250": { "input": "Sentence 1: This difficult idea seems to evade her. Sentence 2: The con man always evades. Word: evade", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "251": { "input": "Sentence 1: Play football. Sentence 2: Pele played for the Brazilian teams in many important matches. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "252": { "input": "Sentence 1: She has a glib tongue. Sentence 2: Tongues of flame licked at the walls. Word: tongue", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "253": { "input": "Sentence 1: It was a nice piece of work. Sentence 2: He needed a piece of granite. Word: piece", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "254": { "input": "Sentence 1: They set out on their return to the base camp. Sentence 2: I expect the house to be spotless upon my return. Word: return", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "255": { "input": "Sentence 1: We drive the turnpike to work. Sentence 2: Drive the forest. Word: drive", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "256": { "input": "Sentence 1: They were arrayed in line of battle. Sentence 2: The cast stood in line for the curtain call. Word: line", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "257": { "input": "Sentence 1: A peach stone. Sentence 2: You should remove the stones from prunes before cooking. Word: stone", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "258": { "input": "Sentence 1: Smother a yawn. Sentence 2: The butter cream smothered the cake. Word: smother", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "259": { "input": "Sentence 1: A thing of the spirit. Sentence 2: A funny thing happened on the way to the ... Word: thing", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "260": { "input": "Sentence 1: Set this poem to music. Sentence 2: To set pear trees in an orchard. Word: set", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "261": { "input": "Sentence 1: Tow is flax with short staple. Sentence 2: Staple fibers vary widely in length. Word: staple", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "262": { "input": "Sentence 1: Tame the soil. Sentence 2: The author finally tamed some of his potentially offensive statements. Word: tame", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "263": { "input": "Sentence 1: He spoke in a nervous tone of voice. Sentence 2: He began in a conversational tone. Word: tone", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "264": { "input": "Sentence 1: Pull your knees towards your chin. Sentence 2: Pull the string gently. Word: pull", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "265": { "input": "Sentence 1: To admit evidence in the trial of a cause. Sentence 2: This pipe admits air. Word: admit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "266": { "input": "Sentence 1: Keep count. Sentence 2: Keep appointments. Word: keep", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "267": { "input": "Sentence 1: Play cards. Sentence 2: Gielgud played Hamlet. Word: play", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "268": { "input": "Sentence 1: Every number has a unique position in the sequence. Sentence 2: He has an unlisted number. Word: number", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "269": { "input": "Sentence 1: The lioness was a mother of four cubs. Sentence 2: The mother of three children. Word: mother", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "270": { "input": "Sentence 1: Fall asleep. Sentence 2: They fell out of favor. Word: fall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "271": { "input": "Sentence 1: What did you get at the toy store? Sentence 2: Get someone mad. Word: get", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "272": { "input": "Sentence 1: Pottery of this cast was found throughout the region. Sentence 2: The delicate cast of his features. Word: cast", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "273": { "input": "Sentence 1: Victorian furniture is an interest of mine. Sentence 2: In the common interest. Word: interest", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "274": { "input": "Sentence 1: This nest egg will ensure a nice retirement for us. Sentence 2: Our exertions ensured us a good outcome. Word: ensure", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "275": { "input": "Sentence 1: We can not admit non-members into our club building. Sentence 2: She admitted us. Word: admit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "276": { "input": "Sentence 1: Implement a procedure. Sentence 2: He implemented a new economic plan. Word: implement", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "277": { "input": "Sentence 1: To carry the war from Greece into Asia. Sentence 2: The jar carries wine. Word: carry", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "278": { "input": "Sentence 1: Stick your thumb in the crack. Sentence 2: Stick some feathers in the turkey before you serve it. Word: stick", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "279": { "input": "Sentence 1: He got the sack for being late all the time. Sentence 2: The boss is gon na give her the sack today. Word: sack", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "280": { "input": "Sentence 1: I don't have any money left. Sentence 2: I have two years left. Word: have", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "281": { "input": "Sentence 1: A daily run of 100,000 gallons of paint. Sentence 2: Yesterday we did a run of 12,000 units. Word: run", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "282": { "input": "Sentence 1: Clarify beer. Sentence 2: Clarify the butter. Word: clarify", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "283": { "input": "Sentence 1: We visited a farm where they raise chickens. Sentence 2: A few important questions were raised after the attack. Word: raise", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "284": { "input": "Sentence 1: In Vermont, the leaves turn early. Sentence 2: Ivory turns well. Word: turn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "285": { "input": "Sentence 1: He held a large block of the company's stock. Sentence 2: The pyramids were built with large stone blocks. Word: block", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "286": { "input": "Sentence 1: I have two sisters. Sentence 2: How many cars does she have? Word: have", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "287": { "input": "Sentence 1: I really care about my work. Sentence 2: I don't care. Word: care", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "288": { "input": "Sentence 1: She doesn't know this composer. Sentence 2: I know him under a different name. Word: know", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "289": { "input": "Sentence 1: The fashion did not catch. Sentence 2: He caught the allusion in her glance. Word: catch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "290": { "input": "Sentence 1: Put your ideas in writing. Sentence 2: That song put me in awful good humor. Word: put", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "291": { "input": "Sentence 1: The president wanted to disband the scandal-plagued agency. Sentence 2: The principal disbanded the political student organization. Word: disband", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "292": { "input": "Sentence 1: You must carry your camping gear. Sentence 2: Amanda carried the package from home. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "293": { "input": "Sentence 1: The teenager couldn't bear the shame of introducing his parents. Sentence 2: One mistake brought shame to all his family. Word: shame", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "294": { "input": "Sentence 1: Can we finance the addition to our home? Sentence 2: He financed his home purchase through a local credit union. Word: finance", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "295": { "input": "Sentence 1: This will save money. Sentence 2: This will save you a lot of time. Word: save", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "296": { "input": "Sentence 1: Leave lots of time for the trip. Sentence 2: At what time does your train leave? Word: leave", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "297": { "input": "Sentence 1: To blow a horse. Sentence 2: Blow now! Word: blow", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "298": { "input": "Sentence 1: Beat the subway fare. Sentence 2: Beat a path through the forest. Word: beat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "299": { "input": "Sentence 1: The sweat cut little rivulets into her face. Sentence 2: Cut a movie scene. Word: cut", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "300": { "input": "Sentence 1: They're just country folk. Sentence 2: Lots of folks like to travel during the holidays. Word: folk", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "301": { "input": "Sentence 1: A ten day's leave to visit his mother. Sentence 2: She was granted leave to speak. Word: leave", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "302": { "input": "Sentence 1: It came by the first post. Sentence 2: If you hurry you'll catch the post. Word: post", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "303": { "input": "Sentence 1: Draw on a cigarette. Sentence 2: Draw wire. Word: draw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "304": { "input": "Sentence 1: Tap beer in a bar. Sentence 2: Tap an M3 thread all the way through the hole. Word: tap", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "305": { "input": "Sentence 1: To post someone for cowardice. Sentence 2: Post a warning. Word: post", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "306": { "input": "Sentence 1: The two buildings touch. Sentence 2: Are you all right? You've hardly touched your lunch. Word: touch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "307": { "input": "Sentence 1: The Post Office issued a series commemorating famous American entertainers. Sentence 2: His coin collection included the complete series of Indian-head pennies. Word: series", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "308": { "input": "Sentence 1: The flock of birds took to the air. Sentence 2: Open a window and let in some air. Word: air", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "309": { "input": "Sentence 1: The voice of experience. Sentence 2: The wee small voice of conscience. Word: voice", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "310": { "input": "Sentence 1: I had a strange feeling in my leg. Sentence 2: She had a feeling of euphoria. Word: feeling", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "311": { "input": "Sentence 1: I'll save you the trouble. Sentence 2: This move will save money. Word: save", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "312": { "input": "Sentence 1: Remove a case to another court. Sentence 2: Doug removed the smudges. Word: remove", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "313": { "input": "Sentence 1: No human situation is simple. Sentence 2: The dangerous situation developed suddenly. Word: situation", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "314": { "input": "Sentence 1: Play games. Sentence 2: He plays on three teams. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "315": { "input": "Sentence 1: A reduction in the assessment per head of sheep. Sentence 2: He was at the head of the column. Word: head", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "316": { "input": "Sentence 1: His friendship was a comfort. Sentence 2: A padded chair was one of the room's few comforts. Word: comfort", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "317": { "input": "Sentence 1: His stories were too susceptible to ulteriority. Sentence 2: Their conversation was limited to ulteriorities. Word: ulteriority", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "318": { "input": "Sentence 1: Leave the room. Sentence 2: She wants to leave. Word: leave", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "319": { "input": "Sentence 1: Many sunken ships rest on the ocean floor. Sentence 2: The floor of the cave. Word: floor", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "320": { "input": "Sentence 1: Under control. Sentence 2: He had lost control of his sphincters. Word: control", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "321": { "input": "Sentence 1: A length of tubing. Sentence 2: A length of timber. Word: length", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "322": { "input": "Sentence 1: These people still follow the laws of their ancient religion. Sentence 2: Follow the road. Word: follow", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "323": { "input": "Sentence 1: Crime doesn't pay. Sentence 2: He paid me 5000 pounds for the car. Word: pay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "324": { "input": "Sentence 1: What a revolting development! Sentence 2: Recent developments in Iraq. Word: development", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "325": { "input": "Sentence 1: To pack goods in a box. Sentence 2: Crowds packed the stands. Word: pack", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "326": { "input": "Sentence 1: The mechanism of the ear. Sentence 2: The mechanism of infection. Word: mechanism", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "327": { "input": "Sentence 1: I need to charge my car battery. Sentence 2: The teacher charged the children to memorize the poem. Word: charge", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "328": { "input": "Sentence 1: Can you teach me to sew? Sentence 2: I taught them French. Word: teach", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "329": { "input": "Sentence 1: City life. Sentence 2: Get a life. Word: life", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "330": { "input": "Sentence 1: Use your head! Sentence 2: Use the plastic bags to store the food. Word: use", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "331": { "input": "Sentence 1: He waited a long time. Sentence 2: He had a time holding back the tears. Word: time", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "332": { "input": "Sentence 1: I will stake my good reputation for this. Sentence 2: Stake your goat. Word: stake", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "333": { "input": "Sentence 1: We had to oblige him. Sentence 2: The singer obliged with another song. Word: oblige", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "334": { "input": "Sentence 1: When bending the elbow the biceps are the agonist. Sentence 2: Acetylcholine is an agonist at the a cholinergic receptor. Word: agonist", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "335": { "input": "Sentence 1: This will save you a lot of time. Sentence 2: She saved the old family photographs in a drawer. Word: save", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "336": { "input": "Sentence 1: Run a subject. Sentence 2: I'm not ready to run a marathon. Word: run", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "337": { "input": "Sentence 1: I just don't get him. Sentence 2: Where did she get these news? Word: get", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "338": { "input": "Sentence 1: The grant doesn't cover my salary. Sentence 2: The second officer covered the top floor. Word: cover", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "339": { "input": "Sentence 1: Make enemies. Sentence 2: He made a fool of himself at the meeting. Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "340": { "input": "Sentence 1: The automobile reduced the demand for buggywhips. Sentence 2: His demands for attention were unceasing. Word: demand", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "341": { "input": "Sentence 1: Answer the riddle. Sentence 2: Answer a question. Word: answer", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "342": { "input": "Sentence 1: Strike an arc. Sentence 2: They were struck with fear. Word: strike", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "343": { "input": "Sentence 1: We should go farther in this matter. Sentence 2: The day went well until I got your call. Word: go", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "344": { "input": "Sentence 1: Block an attack. Sentence 2: The offensive linemen tried to block the blitz. Word: block", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "345": { "input": "Sentence 1: He made trade protection a plank in the party platform. Sentence 2: Insurance provided protection against loss of wages due to illness. Word: protection", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "346": { "input": "Sentence 1: If you see this man, run! Sentence 2: These dresses run small. Word: run", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "347": { "input": "Sentence 1: I went into the salon to get a clip. Sentence 2: He could do ten at a clip. Word: clip", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "348": { "input": "Sentence 1: The rule of St. Dominic. Sentence 2: He determined the upper bound with Descartes' rule of signs. Word: rule", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "349": { "input": "Sentence 1: He made his escape from the mental hospital. Sentence 2: The prisoners made their escape by digging a tunnel. Word: escape", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "350": { "input": "Sentence 1: The check will clear within 2 business days. Sentence 2: The sky cleared after the storm. Word: clear", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "351": { "input": "Sentence 1: A long and happy marriage. Sentence 2: You should enter marriage for love. Word: marriage", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "352": { "input": "Sentence 1: Load the camera. Sentence 2: He loaded his gun carefully. Word: load", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "353": { "input": "Sentence 1: Meat loaf. Sentence 2: A loaf of cheese. Word: loaf", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "354": { "input": "Sentence 1: The car is so dirty, we need to wash it. Sentence 2: The swollen river washed away the footbridge. Word: wash", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "355": { "input": "Sentence 1: How great thou art! Sentence 2: It's quite an art. Word: art", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "356": { "input": "Sentence 1: Starch clothes. Sentence 2: She starched her blouses. Word: starch", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "357": { "input": "Sentence 1: The party went with a swing. Sentence 2: He took a wild swing at my head. Word: swing", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "358": { "input": "Sentence 1: Messages must go through diplomatic channels. Sentence 2: She went through a lot of trouble. Word: go", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "359": { "input": "Sentence 1: Toy with an idea. Sentence 2: Figo is toying with the English defence. Word: toy", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "360": { "input": "Sentence 1: Paste the sign on the wall. Sentence 2: Cut and paste the sentence in the text. Word: paste", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "361": { "input": "Sentence 1: A man of action. Sentence 2: He saw action in Korea. Word: action", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "362": { "input": "Sentence 1: The head of the list. Sentence 2: I've got to go to the head. Word: head", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "363": { "input": "Sentence 1: They had a nice stay in Paris. Sentence 2: A lengthy hospital stay. Word: stay", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "364": { "input": "Sentence 1: Stick your thumb in the crack. Sentence 2: She sticks to her principles. Word: stick", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "365": { "input": "Sentence 1: They are accused of conspiring to constrain trade. Sentence 2: They rode the trade winds going west. Word: trade", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "366": { "input": "Sentence 1: I wouldn't touch her with a ten-foot pole. Sentence 2: The local Mafia won't touch gambling. Word: touch", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "367": { "input": "Sentence 1: They put out quite a spread. Sentence 2: The spread between lending and borrowing costs. Word: spread", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "368": { "input": "Sentence 1: The surface had a greasy feeling. Sentence 2: The wool on my arm produced a strange feeling. Word: feeling", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "369": { "input": "Sentence 1: Take a scene. Sentence 2: Do you take sugar in your coffee? Word: take", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "370": { "input": "Sentence 1: Dress the patient. Sentence 2: He was dressed in the latest fashions. Word: dress", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "371": { "input": "Sentence 1: Catch fire. Sentence 2: Catch the mood. Word: catch", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "372": { "input": "Sentence 1: Play sports. Sentence 2: Play cards. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "373": { "input": "Sentence 1: The voting process doesn't work as well as people thought. Sentence 2: This method doesn't work. Word: work", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "374": { "input": "Sentence 1: Seek happiness. Sentence 2: Seek a position. Word: seek", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "375": { "input": "Sentence 1: The art of conversation. Sentence 2: How great thou art! Word: art", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "376": { "input": "Sentence 1: Make a decision. Sentence 2: Make advances. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "377": { "input": "Sentence 1: He had a pain in his side. Sentence 2: Which side of the tray shall I put it on? Word: side", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "378": { "input": "Sentence 1: Check the brakes. Sentence 2: I will check up on the car tomorrow. Word: check", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "379": { "input": "Sentence 1: A patch of bad weather. Sentence 2: A patch of clouds. Word: patch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "380": { "input": "Sentence 1: We will strike a medal in your honour. Sentence 2: Strike coins. Word: strike", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "381": { "input": "Sentence 1: To strip to the buff. Sentence 2: Swimming in the buff. Word: buff", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "382": { "input": "Sentence 1: The strength of the company's stock in recent weeks. Sentence 2: Fatigue sapped his strength. Word: strength", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "383": { "input": "Sentence 1: Can you back up your claims? Sentence 2: I can't back this plan. Word: back", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "384": { "input": "Sentence 1: Is it your or my turn to break? Sentence 2: Things began breaking bad for him when his parents died. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "385": { "input": "Sentence 1: He removed the top of the carton. Sentence 2: He couldn't get the top off of the bottle. Word: top", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "386": { "input": "Sentence 1: The government took a firm course. Sentence 2: He took a course in basket weaving. Word: course", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "387": { "input": "Sentence 1: To set glass in a sash. Sentence 2: The sun sets early these days. Word: set", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "388": { "input": "Sentence 1: 200 head of cattle. Sentence 2: 200 head of cattle and 50 head of horses. Word: head", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "389": { "input": "Sentence 1: I can not accept your invitation. Sentence 2: We accept the idea of universal health care. Word: accept", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "390": { "input": "Sentence 1: I don't care. Sentence 2: I don't care what he does. Word: care", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "391": { "input": "Sentence 1: Beat a path through the forest. Sentence 2: Beat one's breast. Word: beat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "392": { "input": "Sentence 1: Jones came in third. Sentence 2: A distant third. Word: third", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "393": { "input": "Sentence 1: To raise Sandy Hook light. Sentence 2: Raise the specter of unemployment. Word: raise", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "394": { "input": "Sentence 1: I know that the President lied to the people. Sentence 2: I want to know who is winning the game! Word: know", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "395": { "input": "Sentence 1: We can use this mathematical formula to solve the problem. Sentence 2: He doesn't know how to use a computer. Word: use", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "396": { "input": "Sentence 1: The gene inactivation system. Sentence 2: Thermal inactivation of serum samples. Word: inactivation", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "397": { "input": "Sentence 1: Where do today's public schools fail? Sentence 2: The attempt to rescue the hostages failed miserably. Word: fail", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "398": { "input": "Sentence 1: She has no peer in the concoction of mystery stories. Sentence 2: His testimony was a concoction. Word: concoction", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "399": { "input": "Sentence 1: She always looked forward to the avocado season. Sentence 2: He celebrated his 10th season with the ballet company. Word: season", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "400": { "input": "Sentence 1: The crazy lady made a scene in the grocery store. Sentence 2: He painted scenes from everyday life. Word: scene", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "401": { "input": "Sentence 1: This computer will connect well to the network. Sentence 2: Herman connected the computers together. Word: connect", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "402": { "input": "Sentence 1: The water reached ankle level. Sentence 2: The pictures were at the same level. Word: level", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "403": { "input": "Sentence 1: These pipes carry waste water into the river. Sentence 2: Amanda carried the package from home. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "404": { "input": "Sentence 1: These bonds carry warrants. Sentence 2: The loan carries a high interest rate. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "405": { "input": "Sentence 1: The flight of a refugee. Sentence 2: Flights of imagination. Word: flight", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "406": { "input": "Sentence 1: Cut the engine. Sentence 2: She cut all of her major titles again. Word: cut", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "407": { "input": "Sentence 1: I carry these thoughts in the back of my head. Sentence 2: I will carry the secret to my grave. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "408": { "input": "Sentence 1: She could not cut the long days in the office. Sentence 2: His opponent cut upward toward his chin. Word: cut", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "409": { "input": "Sentence 1: He can not carry a tune. Sentence 2: Amanda carried the package to New York. Word: carry", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "410": { "input": "Sentence 1: After that day she never trusted him again. Sentence 2: These days it is not unusual. Word: day", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "411": { "input": "Sentence 1: This Chinese year is the year of the Rooster. Sentence 2: She is 4 years old. Word: year", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "412": { "input": "Sentence 1: She cut the deck for a long time. Sentence 2: Wayne cut. Word: cut", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "413": { "input": "Sentence 1: Please develop this roll of film for me. Sentence 2: Develop land. Word: develop", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "414": { "input": "Sentence 1: Disperse particles. Sentence 2: The Jews are dispersed among all nations. Word: disperse", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "415": { "input": "Sentence 1: Gather the close family members. Sentence 2: Gather some stones. Word: gather", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "416": { "input": "Sentence 1: They built a fire at the mouth of the cave. Sentence 2: He stuffed his mouth with candy. Word: mouth", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "417": { "input": "Sentence 1: Moral bankruptcy. Sentence 2: Intellectual bankruptcy. Word: bankruptcy", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "418": { "input": "Sentence 1: Take action. Sentence 2: Take vengeance. Word: take", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "419": { "input": "Sentence 1: His stories made him the center of the party. Sentence 2: They had to reinforce the center. Word: center", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "420": { "input": "Sentence 1: He was a great actor in his time. Sentence 2: He waited a long time. Word: time", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "421": { "input": "Sentence 1: Throw a javelin. Sentence 2: She threw herself forwards. Word: throw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "422": { "input": "Sentence 1: The check will clear within 2 business days. Sentence 2: Clear the leaves from the lawn. Word: clear", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "423": { "input": "Sentence 1: Turn the clay on the wheel. Sentence 2: Ivory turns well. Word: turn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "424": { "input": "Sentence 1: This thing has got to end. Sentence 2: It is a remarkable thing. Word: thing", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "425": { "input": "Sentence 1: For the sake of argument. Sentence 2: Died for the sake of his country. Word: sake", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "426": { "input": "Sentence 1: True memorability of phrase. Sentence 2: Continuous change results in lack of memorability. Word: memorability", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "427": { "input": "Sentence 1: He was numb with shock. Sentence 2: The old car needed a new set of shocks. Word: shock", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "428": { "input": "Sentence 1: The sweat cut little rivulets into her face. Sentence 2: Cut trenches. Word: cut", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "429": { "input": "Sentence 1: The sight of his wife brought him back to reality. Sentence 2: To gain sight of land. Word: sight", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "430": { "input": "Sentence 1: The voice of the law. Sentence 2: The noisy voice of the waterfall. Word: voice", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "431": { "input": "Sentence 1: Edge the tablecloth with embroidery. Sentence 2: He edged towards the car. Word: edge", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "432": { "input": "Sentence 1: I hold him personally responsible. Sentence 2: The bridge held. Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "433": { "input": "Sentence 1: Strike 'z' on the keyboard. Sentence 2: The pianist strikes a middle C. Word: strike", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "434": { "input": "Sentence 1: A racially integrated business concern. Sentence 2: We do business all over the world. Word: business", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "435": { "input": "Sentence 1: In the day of the dinosaurs. Sentence 2: He was a successful pianist in his day. Word: day", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "436": { "input": "Sentence 1: This table would serve very well. Sentence 2: He had served in financial planning positions. Word: serve", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "437": { "input": "Sentence 1: He slipped through an opening in the crowd. Sentence 2: There was a small opening between the trees. Word: opening", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "438": { "input": "Sentence 1: I understand how to do it. Sentence 2: I understand what she means. Word: understand", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "439": { "input": "Sentence 1: Work one's way through the crowd. Sentence 2: She never worked because she inherited a lot of money. Word: work", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "440": { "input": "Sentence 1: Have, throw, or make a party. Sentence 2: The horse threw its rider. Word: throw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "441": { "input": "Sentence 1: Laws limit the sale of handguns. Sentence 2: They tried to boost sales. Word: sale", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "442": { "input": "Sentence 1: Will the stock market crash again? Sentence 2: The car crashed through the glass door. Word: crash", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "443": { "input": "Sentence 1: I carry her image in my mind's eye. Sentence 2: I carry these thoughts in the back of my head. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "444": { "input": "Sentence 1: Let's not quibble over pennies. Sentence 2: They are constantly quibbling over insignificant details. Word: quibble", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "445": { "input": "Sentence 1: These luxuries all had to go under the Khmer Rouge. Sentence 2: This chair has got to go. Word: go", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "446": { "input": "Sentence 1: Draw pulp from the fruit. Sentence 2: A ship draws ten feet of water. Word: draw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "447": { "input": "Sentence 1: Common sense is not so common. Sentence 2: He hasn't got the sense God gave little green apples. Word: sense", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "448": { "input": "Sentence 1: We'll get them! Sentence 2: She didn't get the joke. Word: get", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "449": { "input": "Sentence 1: I expected a brief account. Sentence 2: A person of considerable account. Word: account", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "450": { "input": "Sentence 1: In your heart you know it is true. Sentence 2: You haven't got the heart for baseball. Word: heart", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "451": { "input": "Sentence 1: Murder in the second degree. Sentence 2: There are 360 degrees in a circle. Word: degree", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "452": { "input": "Sentence 1: That's three times he's made the same mistake. Sentence 2: He called four times. Word: time", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "453": { "input": "Sentence 1: It was replaced because of its age. Sentence 2: We've known each other for ages. Word: age", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "454": { "input": "Sentence 1: The ball was still in play. Sentence 2: Insiders said the company's stock was in play. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "455": { "input": "Sentence 1: Come out of the closet! Sentence 2: He comes from humble origins. Word: come", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "456": { "input": "Sentence 1: Exhaust one's savings. Sentence 2: This kind of work exhausts me. Word: exhaust", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "457": { "input": "Sentence 1: While there's life there's hope. Sentence 2: Life depends on many chemical and physical processes. Word: life", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "458": { "input": "Sentence 1: We stayed in Hawaii for a week. Sentence 2: The smell stayed in the room. Word: stay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "459": { "input": "Sentence 1: Shoot a movie. Sentence 2: He shot seventeen stills. Word: shoot", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "460": { "input": "Sentence 1: His stories were too susceptible to ulteriority. Sentence 2: A terrible feeling of ulteriority. Word: ulteriority", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "461": { "input": "Sentence 1: He performed in drag. Sentence 2: The waitresses looked like missionaries in drag. Word: drag", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "462": { "input": "Sentence 1: Dew dripped from the face of the leaf. Sentence 2: Why the sad face? Word: face", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "463": { "input": "Sentence 1: We congratulated him on his performance at the rehearsal. Sentence 2: The play ran for 100 performances. Word: performance", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "464": { "input": "Sentence 1: She loves to ride her new motorcycle through town. Sentence 2: The cab rode him downtown. Word: ride", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "465": { "input": "Sentence 1: The camera could define the smallest object. Sentence 2: The tree was clearly defined by the light. Word: define", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "466": { "input": "Sentence 1: Break an alibi. Sentence 2: He slipped on the ice and broke his leg. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "467": { "input": "Sentence 1: Normalize relations with China. Sentence 2: Normalize the temperature. Word: normalize", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "468": { "input": "Sentence 1: A military buildup in preparation for the invasion. Sentence 2: The buildup of leaves blocked the drain pipes. Word: buildup", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "469": { "input": "Sentence 1: If you bend it too much, it will snap. Sentence 2: She snapped a picture of the President. Word: snap", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "470": { "input": "Sentence 1: The lyric in line 3 doesn't rhyme. Sentence 2: The lyrics were written by the composer. Word: lyric", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "471": { "input": "Sentence 1: To make like a deer caught in the headlights. Sentence 2: This wool makes into a nice sweater. Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "472": { "input": "Sentence 1: I have confidence in our team. Sentence 2: Everyone trusted him with their confidences. Word: confidence", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "473": { "input": "Sentence 1: He is a lawyer with a sports background. Sentence 2: The lawyer had a background in computer science. Word: background", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "474": { "input": "Sentence 1: Come out of the closet! Sentence 2: A scream came from the woman's mouth. Word: come", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "475": { "input": "Sentence 1: Bob Dylan occupied the top slot for several weeks. Sentence 2: He put a quarter in the slot. Word: slot", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "476": { "input": "Sentence 1: Life has lost its point. Sentence 2: What is the point of discussing it? Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "477": { "input": "Sentence 1: The main point on the agenda was taken up first. Sentence 2: What is the point of discussing it? Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "478": { "input": "Sentence 1: A leak in a gas pipe. Sentence 2: A leak in a boat. Word: leak", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "479": { "input": "Sentence 1: The shot was wide off the mark. Sentence 2: He poured a shot of whiskey. Word: shot", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "480": { "input": "Sentence 1: I do it for the fun of it. Sentence 2: He is fun to have around. Word: fun", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "481": { "input": "Sentence 1: Not a breath of scandal ever touched her. Sentence 2: There wasn't a breath of air in the room. Word: breath", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "482": { "input": "Sentence 1: The statue stood on a marble support. Sentence 2: The government provides support to the arts in several ways. Word: support", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "483": { "input": "Sentence 1: He finally saw the light. Sentence 2: He stepped into the light. Word: light", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "484": { "input": "Sentence 1: We could always call on a friend. Sentence 2: Call roll. Word: call", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "485": { "input": "Sentence 1: Her cancer was in remission. Sentence 2: His cancer is in remission. Word: remission", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "486": { "input": "Sentence 1: I need some fresh air. Sentence 2: A smell of chemicals in the air. Word: air", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "487": { "input": "Sentence 1: The principle of the internal combustion engine. Sentence 2: The principles of democracy. Word: principle", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "488": { "input": "Sentence 1: I can't get these boots off (or on). Sentence 2: Get me those books over there, please. Word: get", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "489": { "input": "Sentence 1: Hold your breath. Sentence 2: What's holding that mirror? Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "490": { "input": "Sentence 1: I can't get these boots off (or on). Sentence 2: She didn't get the joke. Word: get", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "491": { "input": "Sentence 1: Charge the wagon with hay. Sentence 2: Will I get charged for this service? Word: charge", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "492": { "input": "Sentence 1: Set up an experiment. Sentence 2: Set the table. Word: set", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "493": { "input": "Sentence 1: His next stop is Atlanta. Sentence 2: They agreed to see each other at the bus stop. Word: stop", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "494": { "input": "Sentence 1: Operator, could you connect me to the Raffles in Singapore? Sentence 2: These computers connected well. Word: connect", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "495": { "input": "Sentence 1: Play fair. Sentence 2: Play football. Word: play", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "496": { "input": "Sentence 1: He planted a field of wheat. Sentence 2: There were some cows grazing in a field. Word: field", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "497": { "input": "Sentence 1: Take the lift to the fourth floor. Sentence 2: He responded with a lift of his eyebrow. Word: lift", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "498": { "input": "Sentence 1: Kill a motion. Sentence 2: These new shoes are killing me! Word: kill", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "499": { "input": "Sentence 1: Bestow an honor on someone. Sentence 2: Medals were bestowed on the winning team. Word: bestow", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "500": { "input": "Sentence 1: People impute great cleverness to cats. Sentence 2: We imputed this quotation to Shakespeare. Word: impute", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "501": { "input": "Sentence 1: Play the casinos in Trouville. Sentence 2: Play the races. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "502": { "input": "Sentence 1: You must carry your camping gear. Sentence 2: This train is carrying nuclear waste. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "503": { "input": "Sentence 1: This form of conflict is essential to Mann's writing. Sentence 2: A conflict of loyalties. Word: conflict", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "504": { "input": "Sentence 1: This trombone is very expensive. Sentence 2: Jim plays the trombone very well. Word: trombone", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "505": { "input": "Sentence 1: The time of year for planting. Sentence 2: This time he succeeded. Word: time", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "506": { "input": "Sentence 1: These pipes carry waste water into the river. Sentence 2: Amanda carried the package. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "507": { "input": "Sentence 1: Consider the possibility of moving. Sentence 2: Please consider your family. Word: consider", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "508": { "input": "Sentence 1: To stay a flat sheet in a steam boiler. Sentence 2: Please stay the bloodshed! Word: stay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "509": { "input": "Sentence 1: I take it you're not going? Sentence 2: How should I take this message? Word: take", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "510": { "input": "Sentence 1: The baby was a boy. Sentence 2: The boys were playing kickball in the mud. Word: boy", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "511": { "input": "Sentence 1: You haven't got the heart for baseball. Sentence 2: Hearts were trumps. Word: heart", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "512": { "input": "Sentence 1: Slices of hard-boiled egg on a bed of spinach. Sentence 2: He worked in the coal beds. Word: bed", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "513": { "input": "Sentence 1: The significance of a gesture. Sentence 2: The significance of his remark became clear only later. Word: significance", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "514": { "input": "Sentence 1: His lap was covered with food stains. Sentence 2: The job fell right in my lap. Word: lap", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "515": { "input": "Sentence 1: Dress a turkey. Sentence 2: Dress the surface smooth. Word: dress", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "516": { "input": "Sentence 1: Check the brakes. Sentence 2: Check out the engine. Word: check", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "517": { "input": "Sentence 1: To poise the scales of a balance. Sentence 2: I poised the crowbar in my hand, and waited. Word: poise", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "518": { "input": "Sentence 1: Use the plastic bags to store the food. Sentence 2: We only use Spanish at home. Word: use", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "519": { "input": "Sentence 1: Should we believe a publication like the National Enquirer? Sentence 2: You can not believe this man. Word: believe", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "520": { "input": "Sentence 1: Plug the wall. Sentence 2: He attempted to plug the leaks with some caulk. Word: plug", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "521": { "input": "Sentence 1: He could tell that she was unhappy. Sentence 2: Ellen told Helen about the situation. Word: tell", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "522": { "input": "Sentence 1: You need to get permission to leave early. Sentence 2: I got a computer from my parents for my birthday. Word: get", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "523": { "input": "Sentence 1: Cut my hair. Sentence 2: Cut the engine. Word: cut", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "524": { "input": "Sentence 1: This is a product of lime and nitric acid. Sentence 2: His reaction was the product of hunger and fatigue. Word: product", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "525": { "input": "Sentence 1: These ugly billboards have to go! Sentence 2: These luxuries all had to go under the Khmer Rouge. Word: go", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "526": { "input": "Sentence 1: Play with her feelings. Sentence 2: He plays on three teams. Word: play", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "527": { "input": "Sentence 1: To purchase land, to purchase a house. Sentence 2: Carmen purchased a dress for $50. Word: purchase", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "528": { "input": "Sentence 1: These pipes carry waste water into the river. Sentence 2: Amanda carried the package from home to New York. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "529": { "input": "Sentence 1: The plane is about to land. Sentence 2: The ship landed in Pearl Harbor. Word: land", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "530": { "input": "Sentence 1: This dough does not work easily. Sentence 2: The soft metal works well. Word: work", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "531": { "input": "Sentence 1: He checked the direction and velocity of the wind. Sentence 2: Keep going in the same direction. Word: direction", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "532": { "input": "Sentence 1: The game was interrupted by a brief shower. Sentence 2: He took a shower after the game. Word: shower", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "533": { "input": "Sentence 1: He's a master of the business deal. Sentence 2: He got a good deal on his car. Word: deal", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "534": { "input": "Sentence 1: A stock cube. Sentence 2: A sugar cube. Word: cube", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "535": { "input": "Sentence 1: She was humming an air from Beethoven. Sentence 2: An air of mystery. Word: air", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "536": { "input": "Sentence 1: He ran to safety. Sentence 2: Be sure that the safety is set before proceeding. Word: safety", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "537": { "input": "Sentence 1: They tested his ability to locate objects in space. Sentence 2: Write your name in the space provided. Word: space", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "538": { "input": "Sentence 1: The characters were well drawn but the plot was banal. Sentence 2: They concocted a plot to discredit the governor. Word: plot", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "539": { "input": "Sentence 1: He was ejected for protesting the call. Sentence 2: After two raises there was a call. Word: call", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "540": { "input": "Sentence 1: New Englanders drop their post-vocalic r's. Sentence 2: She dropped acid when she was a teenager. Word: drop", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "541": { "input": "Sentence 1: He failed in his manner of address to the captain. Sentence 2: A man of pleasing or insinuating address. Word: address", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "542": { "input": "Sentence 1: Drive the forest. Sentence 2: We drove to the university every morning. Word: drive", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "543": { "input": "Sentence 1: She threw the invitation away. Sentence 2: She was an invitation to trouble. Word: invitation", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "544": { "input": "Sentence 1: During his first year in office. Sentence 2: He rented an office in the new building. Word: office", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "545": { "input": "Sentence 1: There's a $15 cover tonight. Sentence 2: They made a cover of a Beatles' song. Word: cover", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "546": { "input": "Sentence 1: Play football. Sentence 2: He plays on three teams. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "547": { "input": "Sentence 1: Block a garment. Sentence 2: He blocked the basketball player's shot. Word: block", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "548": { "input": "Sentence 1: He inserted the wedge into a split in the log. Sentence 2: He demanded his split before they disbanded. Word: split", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "549": { "input": "Sentence 1: Martha, will you say the Pledge of Allegiance? Sentence 2: She said her 'Hail Mary'. Word: say", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "550": { "input": "Sentence 1: The plane went into a steep bank. Sentence 2: A huge bank of earth. Word: bank", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "551": { "input": "Sentence 1: The job will take more than an hour. Sentence 2: I spent an hour at lunch. Word: hour", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "552": { "input": "Sentence 1: I shall be writing to you soon. Sentence 2: The woman is walking. Word: be", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "553": { "input": "Sentence 1: Government and business could not agree. Sentence 2: Computers are now widely used in business. Word: business", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "554": { "input": "Sentence 1: The sale will run for ten days. Sentence 2: The contract runs through 2008. Word: run", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "555": { "input": "Sentence 1: Hey, buddy, you got a light? Sentence 2: Can you shed light on this problem? Word: light", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "556": { "input": "Sentence 1: He occupied a post in the treasury. Sentence 2: Sent via post. Word: post", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "557": { "input": "Sentence 1: He was at the top of his form. Sentence 2: To apply for the position, complete the application form. Word: form", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "558": { "input": "Sentence 1: So that's fifteen love to Kournikova. Sentence 2: It was 40 love. Word: love", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "559": { "input": "Sentence 1: In line with. Sentence 2: He got out of line. Word: line", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "560": { "input": "Sentence 1: She didn't want to answer. Sentence 2: This may answer her needs. Word: answer", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "561": { "input": "Sentence 1: A sudden recognition of the problem he faced. Sentence 2: Give her recognition for trying. Word: recognition", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "562": { "input": "Sentence 1: A small mom-and-pop business. Sentence 2: A racially integrated business concern. Word: business", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "563": { "input": "Sentence 1: He was a successful pianist in his day. Sentence 2: In the days of sailing ships. Word: day", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "564": { "input": "Sentence 1: Kill the engine. Sentence 2: These new shoes are killing me! Word: kill", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "565": { "input": "Sentence 1: He's out of my orbit. Sentence 2: In the political orbit of a world power. Word: orbit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "566": { "input": "Sentence 1: An angry face. Sentence 2: Dew dripped from the face of the leaf. Word: face", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "567": { "input": "Sentence 1: Block a nerve. Sentence 2: Block a garment. Word: block", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "568": { "input": "Sentence 1: The storm did a lot of damage to the area. Sentence 2: What's the damage? he asked the waiter. Word: damage", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "569": { "input": "Sentence 1: He managed to wash out the stains. Sentence 2: The car is so dirty, we need to wash it. Word: wash", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "570": { "input": "Sentence 1: Murder in the second degree. Sentence 2: He earned his degree at Princeton summa cum laude. Word: degree", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "571": { "input": "Sentence 1: Rub oil into her skin. Sentence 2: I rubbed my hands together for warmth. Word: rub", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "572": { "input": "Sentence 1: Roll your hair around your finger. Sentence 2: The ball rolled down the hill. Word: roll", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "573": { "input": "Sentence 1: Stream of consciousness. Sentence 2: Two streams of development run through American history. Word: stream", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "574": { "input": "Sentence 1: He missed the point of the joke. Sentence 2: The cannibal's teeth were filed to sharp points. Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "575": { "input": "Sentence 1: The pain of loneliness. Sentence 2: That kid is a terrible pain. Word: pain", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "576": { "input": "Sentence 1: He's packin' a piece! Sentence 2: He needed a piece of granite. Word: piece", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "577": { "input": "Sentence 1: Don't run that software unless you have permission. Sentence 2: Run rogue. Word: run", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "578": { "input": "Sentence 1: Tell me what is bothering you. Sentence 2: Ellen told Helen how to avoid the crowd. Word: tell", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "579": { "input": "Sentence 1: You can't take credit for this! Sentence 2: He was often taken to be a man of means. Word: take", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "580": { "input": "Sentence 1: Many deaf people communicate with sign language. Sentence 2: He and his sons haven't communicated for years. Word: communicate", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "581": { "input": "Sentence 1: Fall asleep. Sentence 2: Many soldiers fell at Verdun. Word: fall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "582": { "input": "Sentence 1: An oak tree will grow from that acorn. Sentence 2: The gardener grew that acorn into an oak tree. Word: grow", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "583": { "input": "Sentence 1: He lived a long and happy life. Sentence 2: Life depends on many chemical and physical processes. Word: life", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "584": { "input": "Sentence 1: A riding academy. Sentence 2: The American Academy of Arts and Sciences. Word: academy", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "585": { "input": "Sentence 1: Give homage. Sentence 2: She gave herself to many men. Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "586": { "input": "Sentence 1: She loaded her shopping into the car. Sentence 2: I carried three heavy bags of shopping up the stairs. Word: shopping", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "587": { "input": "Sentence 1: Hold these truths to be self-evident. Sentence 2: Hold the bridge against the enemy's attacks. Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "588": { "input": "Sentence 1: I find him to be obnoxious. Sentence 2: I found the movie rather entertaining. Word: find", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "589": { "input": "Sentence 1: Messages must go through diplomatic channels. Sentence 2: Do you think the sofa will go through the door? Word: go", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "590": { "input": "Sentence 1: Keep count. Sentence 2: I can not keep track of all my employees. Word: keep", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "591": { "input": "Sentence 1: They had stock footage of lightning, tornados, and hurricanes. Sentence 2: He edited the news footage. Word: footage", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "592": { "input": "Sentence 1: Turn your face to the wall. Sentence 2: Ivory turns well. Word: turn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "593": { "input": "Sentence 1: He prefers shoes of Italian derivation. Sentence 2: Music of Turkish derivation. Word: derivation", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "594": { "input": "Sentence 1: Declare dividends. Sentence 2: Declare bankruptcy. Word: declare", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "595": { "input": "Sentence 1: Some parents exercise their infants. Sentence 2: This puzzle will exercise your mind. Word: exercise", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "596": { "input": "Sentence 1: There was a small opening between the trees. Sentence 2: A salamander darted out of an opening in the rocks. Word: opening", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "597": { "input": "Sentence 1: Bob Dylan occupied the top slot for several weeks. Sentence 2: She beat some tough competition for the number one slot. Word: slot", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "598": { "input": "Sentence 1: Electrons orbit the nucleus. Sentence 2: The moon orbits around the Earth. Word: orbit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "599": { "input": "Sentence 1: Bear a resemblance. Sentence 2: The unidentified plant bore gorgeous flowers. Word: bear", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "600": { "input": "Sentence 1: Open a business. Sentence 2: The door opened. Word: open", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "601": { "input": "Sentence 1: The simultaneous optimization of growth and profitability. Sentence 2: To promote the optimization and diversification of agricultural products. Word: optimization", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "602": { "input": "Sentence 1: Enter a race. Sentence 2: Enter a drug treatment program. Word: enter", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "603": { "input": "Sentence 1: Come into contact with a terrorist group. Sentence 2: Your wish will come true. Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "604": { "input": "Sentence 1: This material doesn't give. Sentence 2: He gave his life for his children. Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "605": { "input": "Sentence 1: I keep my specimens under glass to protect them. Sentence 2: Keep smiling. Word: keep", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "606": { "input": "Sentence 1: The opponent refused to strike. Sentence 2: The teacher struck the child. Word: strike", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "607": { "input": "Sentence 1: Keep food for a week in the pantry. Sentence 2: There's little to earn and many to keep. Word: keep", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "608": { "input": "Sentence 1: Do you carry kerosene heaters? Sentence 2: The loan carries a high interest rate. Word: carry", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "609": { "input": "Sentence 1: The wee small voice of conscience. Sentence 2: The voice of the law. Word: voice", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "610": { "input": "Sentence 1: I want to disengage myself from his influence. Sentence 2: Disengage the gears. Word: disengage", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "611": { "input": "Sentence 1: Please develop this roll of film for me. Sentence 2: They developed a new technique. Word: develop", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "612": { "input": "Sentence 1: She joined the party after dinner. Sentence 2: We're expecting a large party from the London office. Word: party", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "613": { "input": "Sentence 1: He gave me a lift to the bus station. Sentence 2: He gave me a lift home. Word: lift", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "614": { "input": "Sentence 1: All the salesmen met their quota for the month. Sentence 2: The quota for Japanese imports was negotiated. Word: quota", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "615": { "input": "Sentence 1: Do you communicate well with your advisor? Sentence 2: He and his sons haven't communicated for years. Word: communicate", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "616": { "input": "Sentence 1: He hoped for a new life in Australia. Sentence 2: Pottery was his life. Word: life", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "617": { "input": "Sentence 1: Strike coins. Sentence 2: The thought struck terror in our minds. Word: strike", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "618": { "input": "Sentence 1: Air out the smoke-filled rooms. Sentence 2: Air the old winter clothes. Word: air", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "619": { "input": "Sentence 1: Trim an airplane. Sentence 2: Trim the photograph. Word: trim", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "620": { "input": "Sentence 1: Have a feeling. Sentence 2: I won't have this dog in my house! Word: have", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "621": { "input": "Sentence 1: I need to rest for a piece. Sentence 2: She bought a lovely piece of china. Word: piece", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "622": { "input": "Sentence 1: This school is well-known for having teachers of high quality. Sentence 2: The quality of students has risen. Word: quality", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "623": { "input": "Sentence 1: Turn cartwheels. Sentence 2: Turn a somersault. Word: turn", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "624": { "input": "Sentence 1: He does not even possess a working telephone. Sentence 2: What possessed you to buy this house? Word: possess", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "625": { "input": "Sentence 1: He has a lot of interest in vintage cars. Sentence 2: The iron interests stepped up production. Word: interest", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "626": { "input": "Sentence 1: This table would serve very well. Sentence 2: His freedom served him well. Word: serve", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "627": { "input": "Sentence 1: Pop the clutch. Sentence 2: The muskets popped away on all sides. Word: pop", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "628": { "input": "Sentence 1: We hiked through the Andes mountain range. Sentence 2: The valley was between two ranges of hills. Word: range", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "629": { "input": "Sentence 1: Your skin is the largest organ of your body. Sentence 2: He is so disgusting he makes my skin crawl. Word: skin", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "630": { "input": "Sentence 1: Block a nerve. Sentence 2: Block the wheels of a car. Word: block", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "631": { "input": "Sentence 1: They took a firm stand against copyright infringement. Sentence 2: They cut down a stand of trees. Word: stand", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "632": { "input": "Sentence 1: Kronas kurss -- the exchange rate of the krona. Sentence 2: Papīra krona -- paper krona (i.e., bills, banknotes). Word: krona", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "633": { "input": "Sentence 1: Turn and face your partner now. Sentence 2: The bunkers faced north and east, toward Germany. Word: face", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "634": { "input": "Sentence 1: If you were in my place what would you do? Sentence 2: He comes from a place near Chicago. Word: place", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "635": { "input": "Sentence 1: His people have been farmers for generations. Sentence 2: Are your people still alive? Word: people", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "636": { "input": "Sentence 1: That mountain is solid rock. Sentence 2: He threw a rock at me. Word: rock", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "637": { "input": "Sentence 1: At what stage are the social sciences? Sentence 2: The band returned to the stage to play an encore. Word: stage", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "638": { "input": "Sentence 1: She's an elegant dresser. Sentence 2: He's a very snappy dresser. Word: dresser", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "639": { "input": "Sentence 1: Turn the earth in the Spring. Sentence 2: Turn the heat down. Word: turn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "640": { "input": "Sentence 1: The heart and soul of any democracy is its electorate. Sentence 2: You haven't got the heart for baseball. Word: heart", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "641": { "input": "Sentence 1: An affinity for politics. Sentence 2: James's affinity with Sam. Word: affinity", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "642": { "input": "Sentence 1: Air pollution. Sentence 2: The flock of birds took to the air. Word: air", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "643": { "input": "Sentence 1: Apply for a job. Sentence 2: He applied for a leave of absence. Word: apply", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "644": { "input": "Sentence 1: To admit evidence in the trial of a cause. Sentence 2: She admitted us here. Word: admit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "645": { "input": "Sentence 1: Keep count. Sentence 2: The pianist kept time with the metronome. Word: keep", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "646": { "input": "Sentence 1: The rebels threaten to seize civilian hostages. Sentence 2: The terrorists seized the politicians. Word: seize", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "647": { "input": "Sentence 1: The cinema relies on apparent motion. Sentence 2: He made a motion to adjourn. Word: motion", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "648": { "input": "Sentence 1: He didn't say a word about it. Sentence 2: Can I have a word with you? Word: word", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "649": { "input": "Sentence 1: Please follow the guide through the museum. Sentence 2: The ducklings followed their mother around the pond. Word: follow", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "650": { "input": "Sentence 1: Check the time of the class. Sentence 2: Check the oil in your car once a month. Word: check", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "651": { "input": "Sentence 1: This invention will make you a millionaire. Sentence 2: He made a fool of himself at the meeting. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "652": { "input": "Sentence 1: My backyard look onto the pond. Sentence 2: The house looks north. Word: look", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "653": { "input": "Sentence 1: I don't have any money left. Sentence 2: What do we have here? Word: have", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "654": { "input": "Sentence 1: The alkaline inclination of the local waters. Sentence 2: Her inclination is for classical music. Word: inclination", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "655": { "input": "Sentence 1: I demand an explanation. Sentence 2: This position demands a lot of personal sacrifice. Word: demand", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "656": { "input": "Sentence 1: I'm not ready to run a marathon. Sentence 2: Let the dogs run free. Word: run", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "657": { "input": "Sentence 1: Cut a ticket. Sentence 2: Cut orders. Word: cut", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "658": { "input": "Sentence 1: Roll your hair around your finger. Sentence 2: The thunder rolled. Word: roll", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "659": { "input": "Sentence 1: Ballet dancers can rotate their legs out by 90 degrees. Sentence 2: We rotate the lead soprano every night. Word: rotate", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "660": { "input": "Sentence 1: Melons come from a vine. Sentence 2: News came in of the massacre in Rwanda. Word: come", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "661": { "input": "Sentence 1: We should go farther in this matter. Sentence 2: She went through a lot of trouble. Word: go", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "662": { "input": "Sentence 1: Block a muscle. Sentence 2: Block trains. Word: block", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "663": { "input": "Sentence 1: A corner on the silver market. Sentence 2: A piano was in one corner of the room. Word: corner", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "664": { "input": "Sentence 1: I shall try my skills on this. Sentence 2: Try the yak butter. Word: try", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "665": { "input": "Sentence 1: The Times is not the voice of New York. Sentence 2: Conservatism has many voices. Word: voice", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "666": { "input": "Sentence 1: Could you convert my dollars into pounds? Sentence 2: Smith converted and his team won. Word: convert", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "667": { "input": "Sentence 1: It is vital that he not know. Sentence 2: She knew of our plan. Word: know", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "668": { "input": "Sentence 1: Play football. Sentence 2: Play with her feelings. Word: play", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "669": { "input": "Sentence 1: Get an idea. Sentence 2: Get nauseous. Word: get", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "670": { "input": "Sentence 1: The acquisition of one company by another. Sentence 2: The acquisition of wealth. Word: acquisition", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "671": { "input": "Sentence 1: Stop being a baby! Sentence 2: Stand up for yourself -- don't be such a baby! Word: baby", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "672": { "input": "Sentence 1: Teenagers follow their friends in everything. Sentence 2: Carter followed Ford. Word: follow", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "673": { "input": "Sentence 1: The house gets a percentage of every bet. Sentence 2: He has a house on Cape Cod. Word: house", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "674": { "input": "Sentence 1: Play sports. Sentence 2: Pele played for the Brazilian teams in many important matches. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "675": { "input": "Sentence 1: She had a smile on her face. Sentence 2: He always puts a smile on my face. Word: smile", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "676": { "input": "Sentence 1: There shouldn't be more than two dozens. Sentence 2: Pack the shirts in dozens, please. Word: dozen", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "677": { "input": "Sentence 1: The machinery is out of order. Sentence 2: Magnolias belong to the order Magnoliales. Word: order", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "678": { "input": "Sentence 1: To exclude young animals from the womb or from eggs. Sentence 2: The unruly student was excluded from the game. Word: exclude", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "679": { "input": "Sentence 1: He could not touch the meaning of the poem. Sentence 2: She never touched her husband. Word: touch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "680": { "input": "Sentence 1: Lift one's eyes. Sentence 2: Lift potatoes. Word: lift", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "681": { "input": "Sentence 1: A racially integrated business concern. Sentence 2: Show me where the business was today. Word: business", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "682": { "input": "Sentence 1: He does not have a grain of sense. Sentence 2: A grain of sand. Word: grain", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "683": { "input": "Sentence 1: Heat the water on the stove. Sentence 2: The sun heats the oceans. Word: heat", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "684": { "input": "Sentence 1: I tell you that man is a crook! Sentence 2: Ellen told Helen about the situation. Word: tell", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "685": { "input": "Sentence 1: I'm going to go freshen up. Sentence 2: She freshened up after the tennis game. Word: freshen", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "686": { "input": "Sentence 1: I mean to go to Baddeck this summer. Sentence 2: I mean no harm. Word: mean", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "687": { "input": "Sentence 1: A miasma of cigar smoke. Sentence 2: The miasma of the marshes. Word: miasma", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "688": { "input": "Sentence 1: You can't take credit for this! Sentence 2: We took an apartment on a quiet street. Word: take", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "689": { "input": "Sentence 1: Draw parallels. Sentence 2: Draw a conclusion. Word: draw", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "690": { "input": "Sentence 1: Not a breath of scandal ever touched her. Sentence 2: The child's breath came quickly and unevenly. Word: breath", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "691": { "input": "Sentence 1: His claim that he was innocent. Sentence 2: Evidence contradicted the government's claims. Word: claim", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "692": { "input": "Sentence 1: Come into the room. Sentence 2: He came singing down the road. Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "693": { "input": "Sentence 1: Teachers should be well trained in their subject. Sentence 2: Her favorite subject is physics. Word: subject", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "694": { "input": "Sentence 1: We will strike a medal in your honour. Sentence 2: The boxer struck the attacker dead. Word: strike", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "695": { "input": "Sentence 1: The head of the list. Sentence 2: The head of the stairs. Word: head", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "696": { "input": "Sentence 1: Come out of the closet! Sentence 2: He came through the door. Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "697": { "input": "Sentence 1: It is time to board the aircraft. Sentence 2: The old lady is boarding three men. Word: board", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "698": { "input": "Sentence 1: He could be Gingrich's double. Sentence 2: Saddam Hussein was rumored to have many doubles. Word: double", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "699": { "input": "Sentence 1: Build up confidence. Sentence 2: The contractor builds houses for $100. Word: build", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "700": { "input": "Sentence 1: Pay attention to. Sentence 2: Pay an obligation. Word: pay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "701": { "input": "Sentence 1: The iPhone application VR+ connects to major social networks. Sentence 2: He has tried several different word processing applications. Word: application", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "702": { "input": "Sentence 1: A five-pound beef heart will serve six. Sentence 2: He drew a heart and called it a valentine. Word: heart", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "703": { "input": "Sentence 1: I hold with those who say life is sacred. Sentence 2: The bridge held. Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "704": { "input": "Sentence 1: While we're in Brighton, let's get a stick of rock! Sentence 2: He threw a rock at me. Word: rock", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "705": { "input": "Sentence 1: We could do with a little more help around here. Sentence 2: We did 6 miles on our hike every day. Word: do", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "706": { "input": "Sentence 1: The end of the pier. Sentence 2: They rode to the end of the line. Word: end", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "707": { "input": "Sentence 1: We hope you never have to suffer the same pain. Sentence 2: He suffered the penalty. Word: suffer", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "708": { "input": "Sentence 1: Do you want to work after the age of 60? Sentence 2: Is your husband working again? Word: work", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "709": { "input": "Sentence 1: The circus will be in town next week. Sentence 2: He ran away from home to join the circus. Word: circus", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "710": { "input": "Sentence 1: The coach cut two players from the team. Sentence 2: We cut through the neighbor's yard to get home sooner. Word: cut", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "711": { "input": "Sentence 1: Make a phone call. Sentence 2: Make one's way into the forest. Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "712": { "input": "Sentence 1: They had a good time together. Sentence 2: We had a wonderful time at the party. Word: time", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "713": { "input": "Sentence 1: He overstepped his place. Sentence 2: He put the lamp back in its place. Word: place", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "714": { "input": "Sentence 1: Can you connect the two loudspeakers? Sentence 2: Herman connected the computers together. Word: connect", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "715": { "input": "Sentence 1: It was a package deal. Sentence 2: He rose to prominence through a series of shady deals. Word: deal", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "716": { "input": "Sentence 1: How fast does your new car go? Sentence 2: These luxuries all had to go under the Khmer Rouge. Word: go", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "717": { "input": "Sentence 1: There was a light at every corner. Sentence 2: They played as long as it was light. Word: light", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "718": { "input": "Sentence 1: The sheets feel soft. Sentence 2: The ground feels shaky. Word: feel", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "719": { "input": "Sentence 1: He placed a phone call to London. Sentence 2: She reported several anonymous calls. Word: call", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "720": { "input": "Sentence 1: Dissent to the laws of the country. Sentence 2: Several Republicans dissented. Word: dissent", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "721": { "input": "Sentence 1: I am not of your persuasion. Sentence 2: It is his persuasion that abortion should never be condoned. Word: persuasion", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "722": { "input": "Sentence 1: These chemicals produce a noxious vapor. Sentence 2: This procedure produces a curious effect. Word: produce", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "723": { "input": "Sentence 1: Beat the egg whites. Sentence 2: Agassi beat Becker in the tennis championship. Word: beat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "724": { "input": "Sentence 1: Draw the curtains. Sentence 2: Draw a conclusion. Word: draw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "725": { "input": "Sentence 1: The space between his teeth. Sentence 2: The architect left space in front of the building. Word: space", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "726": { "input": "Sentence 1: Law and order. Sentence 2: The house is in order. Word: order", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "727": { "input": "Sentence 1: His resentment took the form of extreme hostility. Sentence 2: The composition presents problems for students of musical form. Word: form", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "728": { "input": "Sentence 1: Come into the room. Sentence 2: He came through the door. Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "729": { "input": "Sentence 1: A war of wits. Sentence 2: A price war. Word: war", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "730": { "input": "Sentence 1: Summerize a house. Sentence 2: Summerize your car. Word: summerize", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "731": { "input": "Sentence 1: Don't touch my CDs! Sentence 2: Stefan was touched by the song's message of hope. Word: touch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "732": { "input": "Sentence 1: His bid was $35,000. Sentence 2: A bid for a lucrative transport contract. Word: bid", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "733": { "input": "Sentence 1: Apply for a job. Sentence 2: She applied for college. Word: apply", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "734": { "input": "Sentence 1: The ball hit the fence. Sentence 2: We hit Detroit by noon. Word: hit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "735": { "input": "Sentence 1: Run rogue. Sentence 2: Run to the store! Word: run", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "736": { "input": "Sentence 1: He washed his face. Sentence 2: She has a pretty face. Word: face", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "737": { "input": "Sentence 1: Let's get down to work now. Sentence 2: Get working as soon as the sun rises! Word: get", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "738": { "input": "Sentence 1: Players had to reserve a court in advance. Sentence 2: Pay court to the emperor. Word: court", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "739": { "input": "Sentence 1: The gauge read 'empty'. Sentence 2: Read the advertisement. Word: read", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "740": { "input": "Sentence 1: Keep potatoes fresh. Sentence 2: Keep notes. Word: keep", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "741": { "input": "Sentence 1: Curled up on the foot of the bed. Sentence 2: The foot of the page. Word: foot", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "742": { "input": "Sentence 1: I estimate the trip will take about ten minutes. Sentence 2: Tomorrow the doctor will take the cast off her arm. Word: take", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "743": { "input": "Sentence 1: Strike 'z' on the keyboard. Sentence 2: Her comments struck a sour note. Word: strike", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "744": { "input": "Sentence 1: Spend money. Sentence 2: I spent the time on worrying about the future. Word: spend", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "745": { "input": "Sentence 1: One swallow does not a summer make. Sentence 2: Clothes make the man. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "746": { "input": "Sentence 1: Reduce an image. Sentence 2: Reduce one's standard of living. Word: reduce", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "747": { "input": "Sentence 1: She had a difficult delivery. Sentence 2: His reluctant delivery of bad news. Word: delivery", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "748": { "input": "Sentence 1: In your behalf. Sentence 2: Campaigning in his own behalf. Word: behalf", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "749": { "input": "Sentence 1: Keep my job for me while I give birth. Sentence 2: Keep a diary. Word: keep", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "750": { "input": "Sentence 1: I will carry the secret to my grave. Sentence 2: I carry a lot of life insurance. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "751": { "input": "Sentence 1: A procession of mourners. Sentence 2: Processions were forbidden. Word: procession", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "752": { "input": "Sentence 1: Fortunately she had the good sense to run away. Sentence 2: He hasn't got the sense God gave little green apples. Word: sense", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "753": { "input": "Sentence 1: He had a drop too much to drink. Sentence 2: A drop of each sample was analyzed. Word: drop", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "754": { "input": "Sentence 1: Don't bolt your food! Sentence 2: Seeing the snake, the horse bolted. Word: bolt", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "755": { "input": "Sentence 1: That store offers a variety of products. Sentence 2: That store offers a variety of products. Word: product", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "756": { "input": "Sentence 1: He's in the plumbing game. Sentence 2: The game is 6 all. Word: game", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "757": { "input": "Sentence 1: Don't approach that house. Sentence 2: We were approaching our destination. Word: approach", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "758": { "input": "Sentence 1: He put the lamp back in its place. Sentence 2: A place in my heart. Word: place", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "759": { "input": "Sentence 1: Sanitize the language in a book. Sentence 2: Sanitize history. Word: sanitize", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "760": { "input": "Sentence 1: Add it to my score and I'll settle later. Sentence 2: A score were sent out but only one returned. Word: score", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "761": { "input": "Sentence 1: It is a job requiring serious application. Sentence 2: December 31 is the deadline for MBA applications. Word: application", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "762": { "input": "Sentence 1: Let's see -- which movie should we see tonight? Sentence 2: See whether you can come tomorrow. Word: see", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "763": { "input": "Sentence 1: To pack fish. Sentence 2: Crowds packed the stands. Word: pack", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "764": { "input": "Sentence 1: I want to see whether she speaks French. Sentence 2: I saw their laughing and joking. Word: see", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "765": { "input": "Sentence 1: We hit Detroit by noon. Sentence 2: Hit a ball. Word: hit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "766": { "input": "Sentence 1: Range of motion. Sentence 2: The army maintains a missile range in the desert. Word: range", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "767": { "input": "Sentence 1: Mineral origin. Sentence 2: Origin in sensation. Word: origin", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "768": { "input": "Sentence 1: The dog was taught to fetch and carry. Sentence 2: Carry a cause. Word: carry", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "769": { "input": "Sentence 1: To carry an account to the ledger. Sentence 2: How many credits is this student carrying? Word: carry", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "770": { "input": "Sentence 1: Our children attend a public school in our neighborhood. Sentence 2: Harvard University is a famous American postsecondary school. Word: school", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "771": { "input": "Sentence 1: Let's follow our great helmsman! Sentence 2: He followed his lecture with a question and answer period. Word: follow", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "772": { "input": "Sentence 1: Pull the trigger of the gun. Sentence 2: Pull the handle towards you. Word: pull", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "773": { "input": "Sentence 1: The scale of the model. Sentence 2: There are some who question the scale of our ambitions. Word: scale", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "774": { "input": "Sentence 1: Assemble your colleagues. Sentence 2: The parents assembled in the school hall. Word: assemble", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "775": { "input": "Sentence 1: I shall be writing to you soon. Sentence 2: The sky is a deep blue today. Word: be", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "776": { "input": "Sentence 1: How much furniture did they leave behind? Sentence 2: There was only one piece of furniture in the room. Word: furniture", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "777": { "input": "Sentence 1: A shared line. Sentence 2: A dedicated line. Word: line", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "778": { "input": "Sentence 1: To snap a whip. Sentence 2: Snap your fingers. Word: snap", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "779": { "input": "Sentence 1: That dress caught her eye. Sentence 2: He tried to catch her eye. Word: eye", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "780": { "input": "Sentence 1: It should arrive any day now. Sentence 2: Those were the days. Word: day", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "781": { "input": "Sentence 1: Call a runner out. Sentence 2: Call a football game. Word: call", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "782": { "input": "Sentence 1: The waitresses looked like missionaries in drag. Sentence 2: He went to the party dressed in drag. Word: drag", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "783": { "input": "Sentence 1: He felt better after a little sleep. Sentence 2: They had to put their family pet to sleep. Word: sleep", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "784": { "input": "Sentence 1: We're planning to camp in the field until Sunday. Sentence 2: Can we go camping again this summer? Word: camp", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "785": { "input": "Sentence 1: Port a rifle. Sentence 2: Port arms! Word: port", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "786": { "input": "Sentence 1: Pull weeds. Sentence 2: I'm pulling for the underdog. Word: pull", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "787": { "input": "Sentence 1: A branch of Congress. Sentence 2: He broke off one of the branches. Word: branch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "788": { "input": "Sentence 1: I find this difficult to masturbate to. Sentence 2: The old man wanted to be masturbated by the prostitute. Word: masturbate", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "789": { "input": "Sentence 1: She didn't get the joke. Sentence 2: She got a bruise on her leg. Word: get", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "790": { "input": "Sentence 1: I move to repel the rule regarding obligatory school uniform. Sentence 2: He moved his hand slightly to the right. Word: move", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "791": { "input": "Sentence 1: You must carry your camping gear. Sentence 2: Carry the suitcases to the car. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "792": { "input": "Sentence 1: Peeling potatoes is a drag. Sentence 2: He went to the party dressed in drag. Word: drag", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "793": { "input": "Sentence 1: Use your head! Sentence 2: I can't use this tool. Word: use", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "794": { "input": "Sentence 1: I hold to these ideas. Sentence 2: Hold your tongue. Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "795": { "input": "Sentence 1: Strike coins. Sentence 2: A bullet struck him. Word: strike", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "796": { "input": "Sentence 1: The devotion of his time and wealth to science. Sentence 2: Their devotion to each other was beautiful. Word: devotion", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "797": { "input": "Sentence 1: He had drunk more than he could carry. Sentence 2: The troops carried the town after a brief fight. Word: carry", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "798": { "input": "Sentence 1: If you keep partying like this, your school-work will suffer. Sentence 2: Many saints suffered martyrdom. Word: suffer", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "799": { "input": "Sentence 1: Turn your palm this way. Sentence 2: Turn a key. Word: turn", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "800": { "input": "Sentence 1: Stretch the imagination. Sentence 2: I always stretch my muscles before exercising. Word: stretch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "801": { "input": "Sentence 1: Litmus paper turns red on contact with an acid. Sentence 2: They forget to solder the contacts. Word: contact", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "802": { "input": "Sentence 1: You take a chance when you let her drive. Sentence 2: We had the chance to meet the president last week. Word: chance", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "803": { "input": "Sentence 1: The cover concealed their guns from enemy aircraft. Sentence 2: They made a cover of a Beatles' song. Word: cover", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "804": { "input": "Sentence 1: The figure was about a thousand. Sentence 2: She made the best score on compulsory figures. Word: figure", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "805": { "input": "Sentence 1: He could not work the math problem. Sentence 2: This unpleasant situation isn't going to work itself out. Word: work", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "806": { "input": "Sentence 1: The local Mafia won't touch gambling. Sentence 2: Are you all right? You've hardly touched your lunch. Word: touch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "807": { "input": "Sentence 1: It was a nice piece of work. Sentence 2: It is down the road a piece. Word: piece", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "808": { "input": "Sentence 1: Don't make this into a big deal. Sentence 2: This invention will make you a millionaire. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "809": { "input": "Sentence 1: Can you take me to the main entrance? Sentence 2: Take a scene. Word: take", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "810": { "input": "Sentence 1: His submission to the will of God. Sentence 2: The union was brought into submission. Word: submission", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "811": { "input": "Sentence 1: To sophisticate the understanding. -- Southey. Sentence 2: To sophisticate wine. -- Howell. Word: sophisticate", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "812": { "input": "Sentence 1: I am reading a good book on economics. Sentence 2: They got a subpoena to examine our books. Word: book", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "813": { "input": "Sentence 1: They shot 20 head of quail. Sentence 2: 200 head of cattle. Word: head", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "814": { "input": "Sentence 1: She was granted leave to speak. Sentence 2: Might I beg leave to accompany you? Word: leave", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "815": { "input": "Sentence 1: They improve their product every year. Sentence 2: The product of 2 and 3 is 6. Word: product", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "816": { "input": "Sentence 1: Would you like some tea? Sentence 2: The store shelves held many different kinds of tea. Word: tea", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "817": { "input": "Sentence 1: My library subscription is about to expire. Sentence 2: The deed was attested by the subscription of his signature. Word: subscription", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "818": { "input": "Sentence 1: Take vengeance. Sentence 2: Do you take sugar in your coffee? Word: take", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "819": { "input": "Sentence 1: The movement of cargo onto the vessel. Sentence 2: He had a bowel movement. Word: movement", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "820": { "input": "Sentence 1: Printing at higher resolution will cause a reduction in performance. Sentence 2: The resolution of an equation. Word: resolution", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "821": { "input": "Sentence 1: I read this address as a satire. Sentence 2: I can read his feelings in his face. Word: read", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "822": { "input": "Sentence 1: How should I take this message? Sentence 2: You can't take credit for this! Word: take", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "823": { "input": "Sentence 1: Block a nerve. Sentence 2: You are blocking the name of your first wife! Word: block", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "824": { "input": "Sentence 1: A swelling with a disposition to rupture. Sentence 2: Salt has a disposition to dissolve in water. Word: disposition", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "825": { "input": "Sentence 1: Clear a debt. Sentence 2: The sky cleared. Word: clear", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "826": { "input": "Sentence 1: It's quite an art. Sentence 2: The art of conversation. Word: art", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "827": { "input": "Sentence 1: Dress the windows. Sentence 2: Dress the victim's wounds. Word: dress", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "828": { "input": "Sentence 1: Choke a carburetor. Sentence 2: The pirate choked the sailor to death. Word: choke", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "829": { "input": "Sentence 1: Tease wool. Sentence 2: The children teased the new teacher. Word: tease", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "830": { "input": "Sentence 1: Didn't know the way home. Sentence 2: If I had my way. Word: way", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "831": { "input": "Sentence 1: The centimetre is a unit of length. Sentence 2: Units of nucleic acids. Word: unit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "832": { "input": "Sentence 1: The horse refuses to back. Sentence 2: The wind backed. Word: back", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "833": { "input": "Sentence 1: The sale will run for ten days. Sentence 2: The film runs 5 hours. Word: run", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "834": { "input": "Sentence 1: He detected a note of sarcasm. Sentence 2: There was a note of gaiety in her manner. Word: note", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "835": { "input": "Sentence 1: It took more than half my time. Sentence 2: Take time to smell the roses. Word: time", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "836": { "input": "Sentence 1: He came to a bad end. Sentence 2: One end of the box was marked 'This side up'. Word: end", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "837": { "input": "Sentence 1: Driver, noun: one who drives. Sentence 2: This is the one I ordered. Word: one", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "838": { "input": "Sentence 1: The files will erase quickly. Sentence 2: I erased that note because it was wrong. Word: erase", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "839": { "input": "Sentence 1: Extend the casserole with a little rice. Sentence 2: Extend the TV antenna. Word: extend", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "840": { "input": "Sentence 1: Run a new program on the Mac. Sentence 2: My computer is too old to run the new OS. Word: run", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "841": { "input": "Sentence 1: She hates me, that's about the size of it. Sentence 2: That's the size of the situation. Word: size", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "842": { "input": "Sentence 1: Fabric with a tendency to shrink. Sentence 2: Denim has a tendency to fade. Word: tendency", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "843": { "input": "Sentence 1: The wee small voice of conscience. Sentence 2: He said his voices told him to do it. Word: voice", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "844": { "input": "Sentence 1: What does Bob do? -- He's a plumber. Sentence 2: This car does 150 miles per hour. Word: do", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "845": { "input": "Sentence 1: They moved in under a mask of friendship. Sentence 2: No mask could conceal his ignorance. Word: mask", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "846": { "input": "Sentence 1: That mechanic's a bum -- he couldn't fix a yo-yo. Sentence 2: A lazy bum. Word: bum", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "847": { "input": "Sentence 1: Can I charge this purchase? Sentence 2: Charge a conductor. Word: charge", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "848": { "input": "Sentence 1: He will hold office until the spring of next year. Sentence 2: The emerging buds were a sure sign of spring. Word: spring", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "849": { "input": "Sentence 1: A homeless tramp. Sentence 2: The tramp of military boots. Word: tramp", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "850": { "input": "Sentence 1: I may be an hour. Sentence 2: \"Where is my umbrella?\" \"The toolshed is in the back.\" Word: be", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "851": { "input": "Sentence 1: Turn the heat down. Sentence 2: This milk has turned; it smells awful. Word: turn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "852": { "input": "Sentence 1: Raise a sad cry. Sentence 2: Raised edges. Word: raise", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "853": { "input": "Sentence 1: Convert slaves to laborers. Sentence 2: Convert lead into gold. Word: convert", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "854": { "input": "Sentence 1: The wall followed the road. Sentence 2: Stomach walls. Word: wall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "855": { "input": "Sentence 1: Use your head! Sentence 2: I used to get things done. Word: use", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "856": { "input": "Sentence 1: I know him under a different name. Sentence 2: This flower is known as a Peruvian Lily. Word: know", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "857": { "input": "Sentence 1: Play sports. Sentence 2: Who's playing now? Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "858": { "input": "Sentence 1: Carry the suitcases to the car. Sentence 2: Amanda carried the package. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "859": { "input": "Sentence 1: Your wish will come true. Sentence 2: The water came to a boil. Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "860": { "input": "Sentence 1: A section of a fishing rod. Sentence 2: The finance section of the company. Word: section", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "861": { "input": "Sentence 1: Play the stock market. Sentence 2: They played games on their opponents. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "862": { "input": "Sentence 1: She wants to leave. Sentence 2: The president's remarks left us speechless. Word: leave", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "863": { "input": "Sentence 1: Hold your temper. Sentence 2: The book holds in store much valuable advise. Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "864": { "input": "Sentence 1: This song keeps going through my head. Sentence 2: The head of the whole operation. Word: head", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "865": { "input": "Sentence 1: I start my day with a good breakfast. Sentence 2: Who started this company? Word: start", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "866": { "input": "Sentence 1: Engineers will work to correct the effects or air resistance. Sentence 2: Correct the mistakes. Word: correct", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "867": { "input": "Sentence 1: Our advertisements reach millions. Sentence 2: The sunlight reached the wall. Word: reach", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "868": { "input": "Sentence 1: The line of men fall forward. Sentence 2: Light fell on her face. Word: fall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "869": { "input": "Sentence 1: In just a bit. Sentence 2: There are 8 bits in a byte. Word: bit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "870": { "input": "Sentence 1: The insurance will replace the lost income. Sentence 2: This antique vase can never be replaced. Word: replace", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "871": { "input": "Sentence 1: We can use this mathematical formula to solve the problem. Sentence 2: She uses her influential friends to get jobs. Word: use", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "872": { "input": "Sentence 1: The south wall had a small window. Sentence 2: The walls were covered with pictures. Word: wall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "873": { "input": "Sentence 1: A time period of 30 years. Sentence 2: Hastened the period of time of his recovery. Word: period", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "874": { "input": "Sentence 1: Appeal to somebody for help. Sentence 2: The idea of a vacation appeals to me. Word: appeal", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "875": { "input": "Sentence 1: The sleeves come to your knuckles. Sentence 2: He came from France. Word: come", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "876": { "input": "Sentence 1: He ate his fill of potatoes. Sentence 2: Don't feed him any more: he's had his fill. Word: fill", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "877": { "input": "Sentence 1: We stayed in Hawaii for a week. Sentence 2: I can only stay for an hour. Word: stay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "878": { "input": "Sentence 1: Take a pulse. Sentence 2: A reading was taken of the earth's tremors. Word: take", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "879": { "input": "Sentence 1: A good sport. Sentence 2: A poor sport. Word: sport", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "880": { "input": "Sentence 1: A leak in a roof. Sentence 2: He had to clean up the leak. Word: leak", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "881": { "input": "Sentence 1: I think she is pretty, contrary to most people. Sentence 2: I think that he is her boyfriend. Word: think", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "882": { "input": "Sentence 1: There's no place like home. Sentence 2: The teacher asked how many people made up his home. Word: home", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "883": { "input": "Sentence 1: The club has a busy calendar this year. Sentence 2: I have you on my calendar for next Monday. Word: calendar", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "884": { "input": "Sentence 1: He made a good impression. Sentence 2: I wanted to create an impression of success. Word: impression", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "885": { "input": "Sentence 1: There is an example on page 10. Sentence 2: This patient provides a typical example of the syndrome. Word: example", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "886": { "input": "Sentence 1: Drive a ball. Sentence 2: What are you driving at? Word: drive", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "887": { "input": "Sentence 1: Shift the date for our class reunion. Sentence 2: She shifted slightly in her seat. Word: shift", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "888": { "input": "Sentence 1: He had become an institution in the theater. Sentence 2: The institution of slavery. Word: institution", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "889": { "input": "Sentence 1: You can't compare my problems and yours. Sentence 2: We compared notes after we had both seen the movie. Word: compare", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "890": { "input": "Sentence 1: I made the students feel different about themselves. Sentence 2: You make me feel naked. Word: feel", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "891": { "input": "Sentence 1: We do business all over the world. Sentence 2: He bought his brother's business. Word: business", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "892": { "input": "Sentence 1: Day and night. Sentence 2: The dawn turned night into day. Word: day", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "893": { "input": "Sentence 1: The war on poverty. Sentence 2: The \"war on terror\" is a campaign against terrorist crime. Word: war", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "894": { "input": "Sentence 1: Will the stock market crash again? Sentence 2: The economy crashed. Word: crash", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "895": { "input": "Sentence 1: She knotted the end of the thread. Sentence 2: The ends justify the means. Word: end", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "896": { "input": "Sentence 1: They endured a torrent of inquiries. Sentence 2: A torrent of abuse. Word: torrent", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "897": { "input": "Sentence 1: Go easy on him: he is but a child. Sentence 2: She writes books for children. Word: child", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "898": { "input": "Sentence 1: Birds of prey often seize small mammals. Sentence 2: To seize smuggled goods. Word: seize", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "899": { "input": "Sentence 1: When will the meeting be? Sentence 2: It is almost eight. Word: be", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "900": { "input": "Sentence 1: Will you pay cash or charge the purchase? Sentence 2: He charged his weapon at me. Word: charge", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "901": { "input": "Sentence 1: He finished an inglorious last. Sentence 2: He was the last to leave. Word: last", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "902": { "input": "Sentence 1: He earned his degree at Princeton summa cum laude. Sentence 2: Water boils at 100 degrees Celsius. Word: degree", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "903": { "input": "Sentence 1: The play had a long run on Broadway. Sentence 2: The team enjoyed a brief run of victories. Word: run", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "904": { "input": "Sentence 1: I support France in the World Cup. Sentence 2: The evidence supports the defendant. Word: support", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "905": { "input": "Sentence 1: The trend of the stock market. Sentence 2: The upward trend of stock-market prices. Word: trend", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "906": { "input": "Sentence 1: Stimulate my appetite. Sentence 2: This play stimulates. Word: stimulate", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "907": { "input": "Sentence 1: The bank is on the corner of Nassau and Witherspoon. Sentence 2: He operated a bank of switches. Word: bank", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "908": { "input": "Sentence 1: She could not come because she was too upset. Sentence 2: He came after a few minutes. Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "909": { "input": "Sentence 1: He needed silence in order to sleep. Sentence 2: He gestured for silence. Word: silence", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "910": { "input": "Sentence 1: Masticate rubber. Sentence 2: The cow stood, quietly masticating its cud. Word: masticate", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "911": { "input": "Sentence 1: The head of the page. Sentence 2: The head of the stairs. Word: head", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "912": { "input": "Sentence 1: The time is 10 o'clock. Sentence 2: Do you know what time it is? Word: time", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "913": { "input": "Sentence 1: I will work hard to improve my grades. Sentence 2: They worked on the task. Word: work", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "914": { "input": "Sentence 1: He bet $2 on number six to show. Sentence 2: The car's dull finish showed years of neglect. Word: show", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "915": { "input": "Sentence 1: Keep open the possibility of a merger. Sentence 2: Keep my job for me while I give birth. Word: keep", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "916": { "input": "Sentence 1: They broke faith with their investors. Sentence 2: A member of his own faith contradicted him. Word: faith", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "917": { "input": "Sentence 1: The arrangement of the furniture. Sentence 2: A flower arrangement. Word: arrangement", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "918": { "input": "Sentence 1: His support made a real difference. Sentence 2: The difference in her is amazing. Word: difference", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "919": { "input": "Sentence 1: He will make a fine father. Sentence 2: He makes a great host. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "920": { "input": "Sentence 1: I shall be writing to you soon. Sentence 2: There was a lot of noise in the kitchen. Word: be", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "921": { "input": "Sentence 1: Just think -- you could be rich one day! Sentence 2: Think what a scene it must have been! Word: think", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "922": { "input": "Sentence 1: The seat of these trousers is almost worn through. Sentence 2: He booked their seats in advance. Word: seat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "923": { "input": "Sentence 1: The broadcast reached an audience of millions. Sentence 2: He requested an audience with the king. Word: audience", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "924": { "input": "Sentence 1: He had to appear in court last month. Sentence 2: Homo sapiens appeared millions of years ago. Word: appear", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "925": { "input": "Sentence 1: I couldn't tell what the thing was. Sentence 2: To say the same thing in other terms. Word: thing", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "926": { "input": "Sentence 1: To empty a well or a cistern. Sentence 2: Empty the water. Word: empty", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "927": { "input": "Sentence 1: A reading of the current situation. Sentence 2: He was famous for his reading of Mozart. Word: reading", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "928": { "input": "Sentence 1: He managed to show a bold face despite his embarrassment. Sentence 2: The face of this company. Word: face", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "929": { "input": "Sentence 1: A sense of danger. Sentence 2: A sense of happiness. Word: sense", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "930": { "input": "Sentence 1: Run an errand. Sentence 2: Who are these people running around in the building? Word: run", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "931": { "input": "Sentence 1: They were sitting by the water's edge. Sentence 2: He asked for a drink of water. Word: water", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "932": { "input": "Sentence 1: Have, throw, or make a party. Sentence 2: Throw a javelin. Word: throw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "933": { "input": "Sentence 1: I lost my locket in this patch of grass here. Sentence 2: Doesn't that patch of clouds looks like a bunny? Word: patch", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "934": { "input": "Sentence 1: Don't feed him any more: he's had his fill. Sentence 2: She had heard her fill of gossip. Word: fill", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "935": { "input": "Sentence 1: Make lead into gold. Sentence 2: We barely made the plane. Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "936": { "input": "Sentence 1: This play will either make or break the playwright. Sentence 2: His peccadilloes finally broke his marriage. Word: break", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "937": { "input": "Sentence 1: Float a ship. Sentence 2: The government floated the ruble for a few months. Word: float", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "938": { "input": "Sentence 1: A hermit doesn't much care for civilization. Sentence 2: Early Mayan civilization. Word: civilization", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "939": { "input": "Sentence 1: To stay a flat sheet in a steam boiler. Sentence 2: I had to stay at home and watch the children. Word: stay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "940": { "input": "Sentence 1: Infection can cause a lupus flare. Sentence 2: A colitis flare. Word: flare", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "941": { "input": "Sentence 1: A large-scale farming operation. Sentence 2: It can perform millions of operations per second. Word: operation", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "942": { "input": "Sentence 1: Everyone got a cut of the earnings. Sentence 2: The lawyer took a cut of the profits. Word: cut", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "943": { "input": "Sentence 1: The climate had the softness of the south of France. Sentence 2: Softness is not something permitted of good leaders. Word: softness", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "944": { "input": "Sentence 1: Your header is too long; \"Local Cannibals\" will suffice. Sentence 2: He took a header into the shrubbery. Word: header", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "945": { "input": "Sentence 1: Maple syrup. Sentence 2: Pancake syrup. Word: syrup", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "946": { "input": "Sentence 1: Is this enough to cover the check? Sentence 2: This should cover everyone in the group. Word: cover", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "947": { "input": "Sentence 1: A wall of prejudice. Sentence 2: A wall of smoke. Word: wall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "948": { "input": "Sentence 1: We had to stand for the entire performance! Sentence 2: The statue stood on the corner. Word: stand", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "949": { "input": "Sentence 1: To crack a whip. Sentence 2: Registrations cracked through the 30,000 mark in the county. Word: crack", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "950": { "input": "Sentence 1: We had a feast to celebrate the harvest. Sentence 2: The Thanksgiving feast. Word: feast", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "951": { "input": "Sentence 1: His back was nicely tanned. Sentence 2: He stood at the back of the stage. Word: back", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "952": { "input": "Sentence 1: Widespread resistance to the new urban development plans. Sentence 2: The enemy offered little resistance. Word: resistance", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "953": { "input": "Sentence 1: The key to solving this problem is persistence. Sentence 2: The key to development is economic integration. Word: key", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "954": { "input": "Sentence 1: A leak in a boat. Sentence 2: A leak in a roof. Word: leak", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "955": { "input": "Sentence 1: The town debated the purification of the water supply. Sentence 2: First you have to cut off the water. Word: water", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "956": { "input": "Sentence 1: Can I buy you a drink? Sentence 2: He jumped into the drink and had to be rescued. Word: drink", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "957": { "input": "Sentence 1: The plane crashed in the vicinity of Asheville. Sentence 2: There is a hurricane in the vicinity of the Bahamas. Word: vicinity", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "958": { "input": "Sentence 1: Play football. Sentence 2: Play cards. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "959": { "input": "Sentence 1: Ground the electrical connections for safety reasons. Sentence 2: The storm grounded the ship. Word: ground", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "960": { "input": "Sentence 1: He looked around for the source of the disturbance. Sentence 2: There was a disturbance of neural function. Word: disturbance", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "961": { "input": "Sentence 1: She likes to dress when going to the opera. Sentence 2: Dress the plants in the garden. Word: dress", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "962": { "input": "Sentence 1: The old house served as a dwelling for Albert. Sentence 2: I was doing dwelling in the cave. Word: dwelling", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "963": { "input": "Sentence 1: Put the kettle on the fire. Sentence 2: Fire was one of our ancestors' first discoveries. Word: fire", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "964": { "input": "Sentence 1: I have known him all his life. Sentence 2: She's my love, my life. Word: life", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "965": { "input": "Sentence 1: There was a connection via the internet. Sentence 2: He has powerful connections. Word: connection", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "966": { "input": "Sentence 1: It is vital that he not know. Sentence 2: I want to know who is winning the game! Word: know", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "967": { "input": "Sentence 1: Drill a hole into the wall. Sentence 2: Drill for oil. Word: drill", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "968": { "input": "Sentence 1: $50 won't even purchase a dress. Sentence 2: To purchase land, to purchase a house. Word: purchase", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "969": { "input": "Sentence 1: Pittsburgh is the source of the Ohio River. Sentence 2: He spent hours looking for the source of that quotation. Word: source", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "970": { "input": "Sentence 1: It should arrive any day now. Sentence 2: I've been here for 2 days and a bit. Word: day", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "971": { "input": "Sentence 1: We had sex in the back seat. Sentence 2: All you ever think about is sex. Word: sex", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "972": { "input": "Sentence 1: She wants to leave. Sentence 2: His good luck finally left him. Word: leave", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "973": { "input": "Sentence 1: You drive nails into wood with a hammer. Sentence 2: We drive the turnpike to work. Word: drive", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "974": { "input": "Sentence 1: Could you develop the ideas in your thesis. Sentence 2: Spassky developed quickly. Word: develop", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "975": { "input": "Sentence 1: A history of France. Sentence 2: A critical time in the school's history. Word: history", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "976": { "input": "Sentence 1: In the interest of safety. Sentence 2: In the common interest. Word: interest", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "977": { "input": "Sentence 1: The development of Alaskan resources. Sentence 2: Such land is practical for small park developments. Word: development", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "978": { "input": "Sentence 1: Come into contact with a terrorist group. Sentence 2: The shoes came untied. Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "979": { "input": "Sentence 1: We had to dress quickly. Sentence 2: Can the child dress by herself? Word: dress", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "980": { "input": "Sentence 1: Politicians have to respect a mass movement. Sentence 2: Movement is a sign of life. Word: movement", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "981": { "input": "Sentence 1: An industrialized land. Sentence 2: They come from a faraway land. Word: land", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "982": { "input": "Sentence 1: Follow the road. Sentence 2: Follow the trail. Word: follow", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "983": { "input": "Sentence 1: Execute the decision of the people. Sentence 2: Your orders have been executed, sir! Word: execute", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "984": { "input": "Sentence 1: Lift my spirits. Sentence 2: Lift his ego. Word: lift", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "985": { "input": "Sentence 1: All of human history. Sentence 2: The dawn of recorded history. Word: history", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "986": { "input": "Sentence 1: The complex machinery of negotiation. Sentence 2: The machinery of command labored and brought forth an order. Word: machinery", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "987": { "input": "Sentence 1: We serve meals for the homeless. Sentence 2: The entertainers served up a lively show. Word: serve", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "988": { "input": "Sentence 1: We must strike the enemy's oil fields. Sentence 2: The Germans struck Poland on Sept. 1, 1939. Word: strike", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "989": { "input": "Sentence 1: I start at eight in the morning. Sentence 2: The rain started at 9:00. Word: start", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "990": { "input": "Sentence 1: We must strike the enemy's oil fields. Sentence 2: A hammer strikes against the bell of a clock. Word: strike", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "991": { "input": "Sentence 1: That tree was hit by lightning. Sentence 2: The lightning was hot enough to melt the sand. Word: lightning", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "992": { "input": "Sentence 1: Turn your dance partner around. Sentence 2: The alchemists tried to turn lead into gold. Word: turn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "993": { "input": "Sentence 1: He cut a sorry figure standing there in the rain. Sentence 2: A heroic figure. Word: figure", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "994": { "input": "Sentence 1: He suffered from fatigue and emotional tension. Sentence 2: Tension holds the belt in the pulleys. Word: tension", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "995": { "input": "Sentence 1: These bonds carry warrants. Sentence 2: The dog was taught to fetch and carry. Word: carry", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "996": { "input": "Sentence 1: Gossip is a malicious poison. Sentence 2: The poison of fascism. Word: poison", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "997": { "input": "Sentence 1: He took a course in basket weaving. Sentence 2: She prepared a three course meal. Word: course", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "998": { "input": "Sentence 1: Cut paper dolls. Sentence 2: Cut a nice figure. Word: cut", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "999": { "input": "Sentence 1: Arouse pity. Sentence 2: To arouse compassion. Word: arouse", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1000": { "input": "Sentence 1: The sleeves come to your knuckles. Sentence 2: Come into the room. Word: come", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1001": { "input": "Sentence 1: He occupied a post in the treasury. Sentence 2: A pair of posts marked the goal. Word: post", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1002": { "input": "Sentence 1: Make a move. Sentence 2: Make advances. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1003": { "input": "Sentence 1: He had to appear in court last month. Sentence 2: She appeared on several charges of theft. Word: appear", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1004": { "input": "Sentence 1: Potatoes bake to a crisp. Sentence 2: I baked a delicious cherry pie. Word: bake", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1005": { "input": "Sentence 1: Pay a call. Sentence 2: You'll pay for this! Word: pay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1006": { "input": "Sentence 1: Only the top side of the box was painted. Sentence 2: He stared as she buttoned her top. Word: top", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1007": { "input": "Sentence 1: Fall prey to an imposter. Sentence 2: They fell out of favor. Word: fall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1008": { "input": "Sentence 1: The song of bullets was in the air. Sentence 2: The song of the wind. Word: song", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1009": { "input": "Sentence 1: They drew up a six-step plan. Sentence 2: They discussed plans for a new bond issue. Word: plan", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1010": { "input": "Sentence 1: This will permit the rain to run off. Sentence 2: This permits the water to rush in. Word: permit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1011": { "input": "Sentence 1: The volume of ticket sales decreased this week. Sentence 2: The volume of exports. Word: volume", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1012": { "input": "Sentence 1: You were in the courtroom. What is your reaction? Sentence 2: A bad reaction to the medicine. Word: reaction", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1013": { "input": "Sentence 1: She could not help watching the sad spectacle. Sentence 2: I can't help myself -- I have to smoke. Word: help", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1014": { "input": "Sentence 1: Take an opportunity. Sentence 2: The escaped convict took to the hills. Word: take", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1015": { "input": "Sentence 1: After two raises there was a call. Sentence 2: The salesman's call on a customer. Word: call", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1016": { "input": "Sentence 1: Keep your cool. Sentence 2: Keep your temper. Word: keep", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1017": { "input": "Sentence 1: Mount a horse. Sentence 2: The rider mounted his horse. Word: mount", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1018": { "input": "Sentence 1: The very picture of a modern general. Sentence 2: The political picture is favorable. Word: picture", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1019": { "input": "Sentence 1: He managed to wash out the stains. Sentence 2: Can you wash away the spots on the windows? Word: wash", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1020": { "input": "Sentence 1: I didn't mean to knock your tooth out. Sentence 2: I'm afraid I don't understand what you mean. Word: mean", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1021": { "input": "Sentence 1: I hold with those who say life is sacred. Sentence 2: She can hold an audience spellbound. Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1022": { "input": "Sentence 1: A cabbage patch. Sentence 2: A briar patch. Word: patch", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1023": { "input": "Sentence 1: To hold true. Sentence 2: He's held by a contract. Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1024": { "input": "Sentence 1: Render thanks. Sentence 2: Render fat in a casserole. Word: render", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1025": { "input": "Sentence 1: The safety of the ship is the captain's concern. Sentence 2: She felt strong concern for those less fortunate. Word: concern", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1026": { "input": "Sentence 1: Electrons orbit the nucleus. Sentence 2: The planets are orbiting the sun. Word: orbit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1027": { "input": "Sentence 1: Who's got dibs on the chips? Sentence 2: Dibs means I get the hammock. Word: dibs", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1028": { "input": "Sentence 1: The airwaves carry the sound. Sentence 2: Sound carries well over water. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1029": { "input": "Sentence 1: The patient developed severe pain and distension. Sentence 2: That kid is a terrible pain. Word: pain", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1030": { "input": "Sentence 1: What do you make of his remarks? Sentence 2: Make a mistake. Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1031": { "input": "Sentence 1: He was given credit for his work. Sentence 2: Give her credit for trying. Word: credit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1032": { "input": "Sentence 1: He gave a final set to his hat. Sentence 2: The set of prime numbers is infinite. Word: set", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1033": { "input": "Sentence 1: From noon till night. Sentence 2: They worked from morning to night. Word: night", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1034": { "input": "Sentence 1: Rub my hands. Sentence 2: Rub oil into her skin. Word: rub", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1035": { "input": "Sentence 1: Burn a CD. Sentence 2: Witches were burned in Salem. Word: burn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1036": { "input": "Sentence 1: While there's life there's hope. Sentence 2: I have known him all his life. Word: life", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1037": { "input": "Sentence 1: Turn your face to the wall. Sentence 2: She is turning 50 this year. Word: turn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1038": { "input": "Sentence 1: His instructions deliberately gave them the wrong set. Sentence 2: The sets were meticulously authentic. Word: set", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1039": { "input": "Sentence 1: He stared as she buttoned her top. Sentence 2: I bought this top as it matches my jeans. Word: top", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1040": { "input": "Sentence 1: I didn't hold a good hand all evening. Sentence 2: He kept trying to see my hand. Word: hand", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1041": { "input": "Sentence 1: He received no formal education. Sentence 2: A good teacher is essential for a good education. Word: education", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1042": { "input": "Sentence 1: A ten day's leave to visit his mother. Sentence 2: Might I beg leave to accompany you? Word: leave", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1043": { "input": "Sentence 1: Play with her feelings. Sentence 2: She plays on her clients' emotions. Word: play", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1044": { "input": "Sentence 1: Can you see the bird in that tree? Sentence 2: I saw her bake the cake. Word: see", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1045": { "input": "Sentence 1: Beat the egg whites. Sentence 2: Reading beats watching television. Word: beat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1046": { "input": "Sentence 1: To raise Sandy Hook light. Sentence 2: Raise hell. Word: raise", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1047": { "input": "Sentence 1: These ugly billboards have to go! Sentence 2: The day went well until I got your call. Word: go", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1048": { "input": "Sentence 1: I can not work a miracle. Sentence 2: Can you work an electric drill? Word: work", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1049": { "input": "Sentence 1: Break a promise. Sentence 2: Break a law. Word: break", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1050": { "input": "Sentence 1: His etiolation signaled years in prison. Sentence 2: The etiolation of celery. Word: etiolation", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1051": { "input": "Sentence 1: If you've time to spare go by air. Sentence 2: I need some fresh air. Word: air", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1052": { "input": "Sentence 1: They began to fight like fun. Sentence 2: He was fun to be with. Word: fun", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1053": { "input": "Sentence 1: Make clay into bricks. Sentence 2: Make water into wine. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1054": { "input": "Sentence 1: When he lectures, I can not follow. Sentence 2: Follow the trail. Word: follow", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1055": { "input": "Sentence 1: He was given credit for his work. Sentence 2: I give you credit for owning up to your mistake. Word: credit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1056": { "input": "Sentence 1: Xhosa speakers click. Sentence 2: Click! The door opened. Word: click", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1057": { "input": "Sentence 1: Cover her face with a handkerchief. Sentence 2: Cover the child with a blanket. Word: cover", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1058": { "input": "Sentence 1: I can see what will happen. Sentence 2: I can see a risk in this strategy. Word: see", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1059": { "input": "Sentence 1: The cognitive operation of remembering. Sentence 2: That rule is no longer in operation. Word: operation", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1060": { "input": "Sentence 1: The foot of the mountain. Sentence 2: His bare feet projected from his trousers. Word: foot", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1061": { "input": "Sentence 1: Draw steel. Sentence 2: Draw a line. Word: draw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1062": { "input": "Sentence 1: Her former friends now avoid her. Sentence 2: He avoided going to the area. Word: avoid", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1063": { "input": "Sentence 1: How fast does your new car go? Sentence 2: This door goes to the basement. Word: go", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1064": { "input": "Sentence 1: The emission of heat from a fire. Sentence 2: The emission was mostly blood. Word: emission", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1065": { "input": "Sentence 1: Your wish will come true. Sentence 2: The bill came to $2,000. Word: come", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1066": { "input": "Sentence 1: You never lift a finger to help me! Sentence 2: Lift a load. Word: lift", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1067": { "input": "Sentence 1: They had too much furniture for the small apartment. Sentence 2: There was only one piece of furniture in the room. Word: furniture", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1068": { "input": "Sentence 1: Offer prayers to the gods. Sentence 2: He offered his opinion. Word: offer", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1069": { "input": "Sentence 1: Control the budget. Sentence 2: Control an account. Word: control", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1070": { "input": "Sentence 1: Give priority to. Sentence 2: The French doors give onto a terrace. Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1071": { "input": "Sentence 1: Draw water for a bath. Sentence 2: Draw parallels. Word: draw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1072": { "input": "Sentence 1: They fought to regain the lost ground. Sentence 2: The worm crawls through the ground. Word: ground", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1073": { "input": "Sentence 1: You must carry your camping gear. Sentence 2: Amanda carried the package from home to New York. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1074": { "input": "Sentence 1: The reflex motion of his eyebrows revealed his surprise. Sentence 2: He made a motion to adjourn. Word: motion", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1075": { "input": "Sentence 1: To burn the mouth with pepper. Sentence 2: The iron burnt a hole in my dress. Word: burn", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1076": { "input": "Sentence 1: Fall prey to an imposter. Sentence 2: Her hair fell across her forehead. Word: fall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1077": { "input": "Sentence 1: Stay alone. Sentence 2: The judge stayed the execution order. Word: stay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1078": { "input": "Sentence 1: Play the stock market. Sentence 2: Who's playing now? Word: play", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1079": { "input": "Sentence 1: My day began early this morning. Sentence 2: It was a busy day on the stock exchange. Word: day", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1080": { "input": "Sentence 1: Carry the suitcases to the car. Sentence 2: These pipes carry waste water into the river. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1081": { "input": "Sentence 1: Drill for oil. Sentence 2: Don't drill here, there's a gas pipe. Word: drill", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1082": { "input": "Sentence 1: Blend the nuts and raisins together. Sentence 2: He blends in with the crowd. Word: blend", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1083": { "input": "Sentence 1: That is enough for the present. Sentence 2: He lives in the present with no thought of tomorrow. Word: present", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1084": { "input": "Sentence 1: This dough does not work easily. Sentence 2: My wife never worked. Word: work", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1085": { "input": "Sentence 1: Fall into a trap. Sentence 2: She fell ill. Word: fall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1086": { "input": "Sentence 1: He didn't want his wife to know of the relationship. Sentence 2: The relationship between mothers and their children. Word: relationship", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1087": { "input": "Sentence 1: He wrote the date on the back of the photograph. Sentence 2: I hung the clothes on the back of the door. Word: back", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1088": { "input": "Sentence 1: She played the part of Desdemona. Sentence 2: We all have a part to play. Word: part", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1089": { "input": "Sentence 1: Block an attack. Sentence 2: He blocked the basketball player's shot. Word: block", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1090": { "input": "Sentence 1: His display of foulness deserved severe punishment. Sentence 2: Mouths which speak such foulness must be cleansed. Word: foulness", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1091": { "input": "Sentence 1: The wee small voice of conscience. Sentence 2: The incessant voices of the artillery. Word: voice", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1092": { "input": "Sentence 1: She asked the hairdresser to wave her hair. Sentence 2: She waved her gun. Word: wave", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1093": { "input": "Sentence 1: I will run the sample. Sentence 2: Our coach had us running plays for the whole practice. Word: run", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1094": { "input": "Sentence 1: We raise hogs here. Sentence 2: Raise the question of promotions. Word: raise", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1095": { "input": "Sentence 1: It just won't make much difference to me. Sentence 2: There were irreconcilable differences. Word: difference", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1096": { "input": "Sentence 1: She gave great head. Sentence 2: They tracked him back toward the head of the stream. Word: head", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1097": { "input": "Sentence 1: Please turn down the volume on the stereo. Sentence 2: The kids played their music at full volume. Word: volume", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1098": { "input": "Sentence 1: To snap a whip. Sentence 2: Bullets snapped past us. Word: snap", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1099": { "input": "Sentence 1: Where did she get these news? Sentence 2: You can not get water out of a stone. Word: get", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1100": { "input": "Sentence 1: He paid all his bills by check. Sentence 2: He asked the waiter for the check. Word: check", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1101": { "input": "Sentence 1: The artist must first learn to see. Sentence 2: I went to see my friend Mary the other day. Word: see", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1102": { "input": "Sentence 1: Draw parallels. Sentence 2: He drew an elaborate plan of attack. Word: draw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1103": { "input": "Sentence 1: Under the head of minor Roman poets. Sentence 2: The head of the hammer. Word: head", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1104": { "input": "Sentence 1: Keep open the possibility of a merger. Sentence 2: Keep my seat, please. Word: keep", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1105": { "input": "Sentence 1: Raise my salary. Sentence 2: Raise a sad cry. Word: raise", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1106": { "input": "Sentence 1: If he asks for food, point him toward the refrigerator. Sentence 2: The dog pointed the dead duck. Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1107": { "input": "Sentence 1: Do you want to work after the age of 60? Sentence 2: He works his parents for sympathy. Word: work", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1108": { "input": "Sentence 1: The boat beat in the strong wind. Sentence 2: Beat the subway fare. Word: beat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1109": { "input": "Sentence 1: The depth of the water. Sentence 2: From the depths of darkest Africa. Word: depth", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1110": { "input": "Sentence 1: The team is a unit. Sentence 2: A unit of wheat is a bushel. Word: unit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1111": { "input": "Sentence 1: Cut a Ping-Pong ball. Sentence 2: Cut paper dolls. Word: cut", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1112": { "input": "Sentence 1: Spray paint on the wall. Sentence 2: Spray water on someone. Word: spray", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1113": { "input": "Sentence 1: He threw the ball into the air. Sentence 2: A smell of chemicals in the air. Word: air", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1114": { "input": "Sentence 1: We can not admit non-members into our club building. Sentence 2: To admit a serious thought into the mind. Word: admit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1115": { "input": "Sentence 1: Your wish will come true. Sentence 2: Next came the student from France. Word: come", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1116": { "input": "Sentence 1: These pages don't belong. Sentence 2: The uniform looks like it belonged to a museum collection. Word: belong", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1117": { "input": "Sentence 1: The set of rational numbers, \\mathbbQ, is the prototypical field. Sentence 2: Field of view. Word: field", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1118": { "input": "Sentence 1: He was a bull of a man. Sentence 2: What he said was mostly bull. Word: bull", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1119": { "input": "Sentence 1: To drive sheep out of a field. Sentence 2: Drive the forest. Word: drive", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1120": { "input": "Sentence 1: His grandfather was in the Pacific theater during the war. Sentence 2: He served in the Vietnam theater for three years. Word: theater", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1121": { "input": "Sentence 1: It was about 500 square feet in area. Sentence 2: The photo is a little dark in that area. Word: area", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1122": { "input": "Sentence 1: Don't interrupt me when I'm reading. Sentence 2: We interrupt the program for the following messages. Word: interrupt", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1123": { "input": "Sentence 1: Cut a disk. Sentence 2: This cuts into my earnings. Word: cut", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1124": { "input": "Sentence 1: He sacrificed a piece to get a strategic advantage. Sentence 2: He wrote an interesting piece on Iran. Word: piece", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1125": { "input": "Sentence 1: A rifle action. Sentence 2: The Union action of emancipating Southern slaves. Word: action", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1126": { "input": "Sentence 1: Origin in sensation. Sentence 2: The rumor had its origin in idle gossip. Word: origin", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1127": { "input": "Sentence 1: He has a special place in my thoughts. Sentence 2: Your place or mine? Word: place", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1128": { "input": "Sentence 1: Don't drift from the set course. Sentence 2: The stock market drifted upward. Word: drift", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1129": { "input": "Sentence 1: How nice to see you again! Sentence 2: I'll probably see you at the meeting. Word: see", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1130": { "input": "Sentence 1: Raise a siege. Sentence 2: The President raised several million dollars for his college. Word: raise", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1131": { "input": "Sentence 1: We have a big barrel to catch the rainwater. Sentence 2: Catch the mood. Word: catch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1132": { "input": "Sentence 1: The part of his hair was slightly to the left. Sentence 2: His part was right in the middle. Word: part", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1133": { "input": "Sentence 1: The rifle had been fitted with a special stock. Sentence 2: She made gravy with a base of beef stock. Word: stock", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1134": { "input": "Sentence 1: His best finish in a major tournament was third. Sentence 2: Excitement grew as the finish neared. Word: finish", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1135": { "input": "Sentence 1: It is not work but worry that kills. Sentence 2: His worry over the prospect of being fired. Word: worry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1136": { "input": "Sentence 1: The accusative case canonically indicates a direct object. Sentence 2: A case of the jitters. Word: case", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1137": { "input": "Sentence 1: To loosen a knot. Sentence 2: After the Thanksgiving meal, Bill loosened his belt. Word: loosen", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1138": { "input": "Sentence 1: Cut the songs. Sentence 2: She cut all of her major titles again. Word: cut", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1139": { "input": "Sentence 1: Flatten your stomach with these exercises. Sentence 2: Flatten a road. Word: flatten", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1140": { "input": "Sentence 1: We've been having a lot of rain lately. Sentence 2: The rains came late that year. Word: rain", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1141": { "input": "Sentence 1: Normalize relations with China. Sentence 2: Normalize the spelling. Word: normalize", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1142": { "input": "Sentence 1: What message do you see in this letter? Sentence 2: We had to see a psychiatrist. Word: see", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1143": { "input": "Sentence 1: I can not say 'zip wire'. Sentence 2: Please say your name slowly and clearly. Word: say", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1144": { "input": "Sentence 1: He attributed the change to their marriage. Sentence 2: Can I get change for this $100 bill please? Word: change", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1145": { "input": "Sentence 1: Draw a conclusion. Sentence 2: She drew $2,000 from the account. Word: draw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1146": { "input": "Sentence 1: It brought out his better side. Sentence 2: John wrote 15 sides for his essay! Word: side", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1147": { "input": "Sentence 1: Winnow chaff. Sentence 2: Winnow the finalists from the long list of applicants. Word: winnow", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1148": { "input": "Sentence 1: He got a refill for his notebook. Sentence 2: He got a refill for his ball-point pen. Word: refill", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1149": { "input": "Sentence 1: Hold in place. Sentence 2: Hold these truths to be self-evident. Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1150": { "input": "Sentence 1: He sensed the presence of danger. Sentence 2: He tested for the presence of radon. Word: presence", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1151": { "input": "Sentence 1: Render fat in a casserole. Sentence 2: They had to render the estate. Word: render", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1152": { "input": "Sentence 1: New York is at the mouth of the Hudson. Sentence 2: The jar had a wide mouth. Word: mouth", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1153": { "input": "Sentence 1: You never understand what I mean! Sentence 2: I mean to go to Baddeck this summer. Word: mean", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1154": { "input": "Sentence 1: The production of white blood cells. Sentence 2: They hope to increase spaghetti production next year. Word: production", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1155": { "input": "Sentence 1: A serious loss of business. Sentence 2: Weight loss. Word: loss", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1156": { "input": "Sentence 1: There's good stuff in that book. Sentence 2: The stuff of heros. Word: stuff", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1157": { "input": "Sentence 1: The military academy at West Point. Sentence 2: The American Academy of Arts and Sciences. Word: academy", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1158": { "input": "Sentence 1: Give one's talents to a good cause. Sentence 2: What gives? Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1159": { "input": "Sentence 1: She didn't touch her food all night. Sentence 2: Are you all right? You've hardly touched your lunch. Word: touch", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1160": { "input": "Sentence 1: To arouse jealousy. Sentence 2: To arouse compassion. Word: arouse", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1161": { "input": "Sentence 1: The ball rolled into the corner pocket. Sentence 2: The ball travelled 90 mph on his serve. Word: ball", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1162": { "input": "Sentence 1: He recorded the spoken language of the streets. Sentence 2: He uttered harsh language. Word: language", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1163": { "input": "Sentence 1: To raise your walking stick to defend yourself. Sentence 2: A few important questions were raised after the attack. Word: raise", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1164": { "input": "Sentence 1: Sanitize a document before releasing it to the press. Sentence 2: Sanitize history. Word: sanitize", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1165": { "input": "Sentence 1: The renowned director could translate experience to film with ease. Sentence 2: The growth in income translates into greater purchasing power. Word: translate", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1166": { "input": "Sentence 1: Remove a threat. Sentence 2: Doug removed the smudges from the tabletop. Word: remove", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1167": { "input": "Sentence 1: The south wall had a small window. Sentence 2: Stomach walls. Word: wall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1168": { "input": "Sentence 1: Start a new job. Sentence 2: I start my day with a good breakfast. Word: start", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1169": { "input": "Sentence 1: It is not known who created this piece. Sentence 2: I need to rest for a piece. Word: piece", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1170": { "input": "Sentence 1: A wall of water. Sentence 2: The south wall had a small window. Word: wall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1171": { "input": "Sentence 1: The TV program has a new time slot. Sentence 2: He put a quarter in the slot. Word: slot", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1172": { "input": "Sentence 1: To volunteer for doing the dishes. Sentence 2: He volunteered the information. Word: volunteer", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1173": { "input": "Sentence 1: I vouch for the quality of my products. Sentence 2: He vouched his words by his deeds. Word: vouch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1174": { "input": "Sentence 1: A prison term. Sentence 2: The term allowed to a debtor to discharge his debt. Word: term", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1175": { "input": "Sentence 1: He could hardly conceal his excitement when she agreed. Sentence 2: His face was flushed with excitement and his hands trembled. Word: excitement", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1176": { "input": "Sentence 1: Play fair. Sentence 2: Play games. Word: play", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1177": { "input": "Sentence 1: We sat around the fire singing songs and telling stories. Sentence 2: Barbecue over an open fire. Word: fire", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1178": { "input": "Sentence 1: The hurricane demolished houses in its path. Sentence 2: Genius usually follows a revolutionary path. Word: path", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1179": { "input": "Sentence 1: It took more than half my time. Sentence 2: I didn't have time to finish. Word: time", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1180": { "input": "Sentence 1: He is the Republican boss in Kentucky. Sentence 2: Party bosses have a reputation for corruption. Word: boss", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1181": { "input": "Sentence 1: The author gives a depressing picture of life in Poland. Sentence 2: He had no clear picture of himself or his world. Word: picture", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1182": { "input": "Sentence 1: A horse hates having a bit put in its mouth. Sentence 2: The horse was not accustomed to a bit. Word: bit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1183": { "input": "Sentence 1: She may not make the grade. Sentence 2: We made it! Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1184": { "input": "Sentence 1: The connection between church and state is inescapable. Sentence 2: The connection between overeating and obesity. Word: connection", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1185": { "input": "Sentence 1: The store is huge, occupying an entire city block. Sentence 2: He lives in the next block. Word: block", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1186": { "input": "Sentence 1: A novel application of electronics to medical diagnosis. Sentence 2: He has tried several different word processing applications. Word: application", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1187": { "input": "Sentence 1: There are 50 acres of land in this estate. Sentence 2: The family owned a large estate on Long Island. Word: estate", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1188": { "input": "Sentence 1: He played a shtik Beethoven. Sentence 2: Play it straight with no shtik. Word: shtik", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1189": { "input": "Sentence 1: It's a quarter til 4. Sentence 2: The wind is coming from that quarter. Word: quarter", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1190": { "input": "Sentence 1: 'Now push hard,' said the doctor to the woman. Sentence 2: He pushed her to finish her doctorate. Word: push", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1191": { "input": "Sentence 1: This old radio doesn't work anymore. Sentence 2: The vintner worked the wine in big oak vats. Word: work", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1192": { "input": "Sentence 1: Give the orders. Sentence 2: Give him my best regards. Word: give", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1193": { "input": "Sentence 1: It started to snow. Sentence 2: It was snowing all night. Word: snow", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1194": { "input": "Sentence 1: Don't pay him any mind. Sentence 2: Pay attention. Word: pay", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1195": { "input": "Sentence 1: Make a stir. Sentence 2: Make friends. Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1196": { "input": "Sentence 1: What do you make of his remarks? Sentence 2: Make a dress. Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1197": { "input": "Sentence 1: Think thin. Sentence 2: Think big. Word: think", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1198": { "input": "Sentence 1: She agreed to bear the responsibility. Sentence 2: Bearing orders. Word: bear", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1199": { "input": "Sentence 1: I want to see whether she speaks French. Sentence 2: Could you see about lunch? Word: see", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1200": { "input": "Sentence 1: * I acknowledge my transgressions. -- Psalm 51:3. Sentence 2: She acknowledged that she might have forgotten. Word: acknowledge", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1201": { "input": "Sentence 1: Used her parents' influence to get the job. Sentence 2: She was the most important influence in my life. Word: influence", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1202": { "input": "Sentence 1: You should consult the dictionary. Sentence 2: They were content to consult libraries. -- William Whewell. Word: consult", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1203": { "input": "Sentence 1: I will work hard to improve my grades. Sentence 2: John worked with Paul on the task. Word: work", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1204": { "input": "Sentence 1: Give the orders. Sentence 2: I gave my coat to the beggar. Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1205": { "input": "Sentence 1: I mean to go to Baddeck this summer. Sentence 2: I only meant to help you. Word: mean", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1206": { "input": "Sentence 1: This dough does not work easily. Sentence 2: Work the phones. Word: work", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1207": { "input": "Sentence 1: A body of precedents. Sentence 2: A body of doctrine. Word: body", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1208": { "input": "Sentence 1: Bounce a check. Sentence 2: The rubber ball bounced. Word: bounce", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1209": { "input": "Sentence 1: The strength of the company's stock in recent weeks. Sentence 2: It was destroyed by the strength of the gale. Word: strength", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1210": { "input": "Sentence 1: A building lot in a city. Sentence 2: He bought a lot on the lake. Word: lot", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1211": { "input": "Sentence 1: I'll take the blue plates. Sentence 2: We took the road on the right. Word: take", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1212": { "input": "Sentence 1: We must strike the enemy's oil fields. Sentence 2: Panic struck me. Word: strike", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1213": { "input": "Sentence 1: There was a connection via the internet. Sentence 2: The connection between overeating and obesity. Word: connection", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1214": { "input": "Sentence 1: Break down a proof. Sentence 2: Break an alibi. Word: break", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1215": { "input": "Sentence 1: His saxophone was in pledge. Sentence 2: Signed a pledge never to reveal the secret. Word: pledge", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1216": { "input": "Sentence 1: There is not a drop of pity in that man. Sentence 2: Put three drops of oil into the mixture. Word: drop", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1217": { "input": "Sentence 1: Within the compass of an encircling wall. Sentence 2: Within the compass of education. Word: compass", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1218": { "input": "Sentence 1: To snap a fastener. Sentence 2: The lock snapped shut. Word: snap", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1219": { "input": "Sentence 1: I'll meet you at the foot of the stairs. Sentence 2: The foot of the page. Word: foot", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1220": { "input": "Sentence 1: They sailed south around the point. Sentence 2: She scored three points. Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1221": { "input": "Sentence 1: The student body. Sentence 2: They moved their arms and legs and bodies. Word: body", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1222": { "input": "Sentence 1: We had a wonderful time at the party. Sentence 2: He had a time holding back the tears. Word: time", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1223": { "input": "Sentence 1: Break a lucky streak. Sentence 2: Break the cycle of poverty. Word: break", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1224": { "input": "Sentence 1: They tested his ability to locate objects in space. Sentence 2: The spaces are the notes F-A-C-E. Word: space", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1225": { "input": "Sentence 1: We can not continue several servants any longer. Sentence 2: The bad weather continued for two more weeks. Word: continue", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1226": { "input": "Sentence 1: Run a new program on the Mac. Sentence 2: Run the dishwasher. Word: run", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1227": { "input": "Sentence 1: Bear news. Sentence 2: Bear gifts. Word: bear", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1228": { "input": "Sentence 1: This dish could use a touch of garlic. Sentence 2: At his touch the room filled with lights. Word: touch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1229": { "input": "Sentence 1: The drums beat all night. Sentence 2: Beat the table with his shoe. Word: beat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1230": { "input": "Sentence 1: The letter \"G\" was found in volume 4. Sentence 2: Please turn down the volume on the stereo. Word: volume", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1231": { "input": "Sentence 1: I will work hard to improve my grades. Sentence 2: They worked at finishing the task. Word: work", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1232": { "input": "Sentence 1: We don't garage our car. Sentence 2: We garaged the convertible during the monsoon months. Word: garage", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1233": { "input": "Sentence 1: Sanitize a document before releasing it to the press. Sentence 2: Sanitize the language in a book. Word: sanitize", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1234": { "input": "Sentence 1: The soft metal works well. Sentence 2: Start from the bottom and work towards the top. Word: work", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1235": { "input": "Sentence 1: Don't ride me so hard over my failure. Sentence 2: Let it ride. Word: ride", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1236": { "input": "Sentence 1: The power of its engine determines its operation. Sentence 2: A multinational operation. Word: operation", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1237": { "input": "Sentence 1: The only city of any size in that area. Sentence 2: He blanched when he saw the size of the bill. Word: size", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1238": { "input": "Sentence 1: I doubt these reports. Sentence 2: He doubted that was really what you meant. Word: doubt", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1239": { "input": "Sentence 1: Develop the rook. Sentence 2: Well-developed breasts. Word: develop", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1240": { "input": "Sentence 1: In the day of the dinosaurs. Sentence 2: In the days of the Roman Empire. Word: day", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1241": { "input": "Sentence 1: They handed out the printed text of the mayor's speech. Sentence 2: There were more than a thousand words of text. Word: text", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1242": { "input": "Sentence 1: That's our finest cut of meat. Sentence 2: His cut in the lining revealed the hidden jewels. Word: cut", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1243": { "input": "Sentence 1: He was a great actor in his time. Sentence 2: Time stops for nobody. Word: time", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1244": { "input": "Sentence 1: His salary was determined by his rank and seniority. Sentence 2: The entrance was guarded by ranks of policemen. Word: rank", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1245": { "input": "Sentence 1: Throw a javelin. Sentence 2: Throw a glance. Word: throw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1246": { "input": "Sentence 1: The Democratic Party is an umbrella for many liberal groups. Sentence 2: Under the umbrella of capitalism. Word: umbrella", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1247": { "input": "Sentence 1: Raise a family. Sentence 2: To raise somebody to office. Word: raise", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1248": { "input": "Sentence 1: Curled up on the foot of the bed. Sentence 2: The foot of the mountain. Word: foot", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1249": { "input": "Sentence 1: Raise hell. Sentence 2: Raise Cain. Word: raise", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1250": { "input": "Sentence 1: The dog barked all night. Sentence 2: The dogs were too hot to touch. Word: dog", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1251": { "input": "Sentence 1: They say he gives good head. Sentence 2: The head of the list. Word: head", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1252": { "input": "Sentence 1: He was a member of a special police unit. Sentence 2: After the battle the soldier had trouble rejoining his unit. Word: unit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1253": { "input": "Sentence 1: I really want to sing in the school choir. Sentence 2: She was singing while she was cooking. Word: sing", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1254": { "input": "Sentence 1: This will save money. Sentence 2: I'll save you the trouble. Word: save", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1255": { "input": "Sentence 1: I'll see you to the door. Sentence 2: I want to see results. Word: see", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1256": { "input": "Sentence 1: How much is the damage? Sentence 2: What's the damage? he asked the waiter. Word: damage", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1257": { "input": "Sentence 1: The employees' attitude is really hurting the concern. Sentence 2: A racially integrated business concern. Word: concern", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1258": { "input": "Sentence 1: A ranch hand. Sentence 2: Give him a hand. Word: hand", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1259": { "input": "Sentence 1: Crush an aluminum can. Sentence 2: She was crushed by his refusal of her invitation. Word: crush", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1260": { "input": "Sentence 1: Let the dogs run free. Sentence 2: Who are these people running around in the building? Word: run", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1261": { "input": "Sentence 1: He had an unruly shock of black hair. Sentence 2: The train hit the buffers with a great shock. Word: shock", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1262": { "input": "Sentence 1: The cover concealed their guns from enemy aircraft. Sentence 2: The fox was flushed from its cover. Word: cover", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1263": { "input": "Sentence 1: To toy with a piece of food on one's plate. Sentence 2: Figo is toying with the English defence. Word: toy", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1264": { "input": "Sentence 1: I know that the President lied to the people. Sentence 2: It is vital that he not know. Word: know", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1265": { "input": "Sentence 1: His interests didn't match her interests. Sentence 2: Let them match their best athletes against ours. Word: match", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1266": { "input": "Sentence 1: Cut a movie scene. Sentence 2: Cut a Ping-Pong ball. Word: cut", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1267": { "input": "Sentence 1: There's a $15 cover tonight. Sentence 2: Artillery provided cover fire for the withdrawal. Word: cover", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1268": { "input": "Sentence 1: Increasing recognition that diabetes frequently coexists with other chronic diseases. Sentence 2: A sudden recognition of the problem he faced. Word: recognition", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1269": { "input": "Sentence 1: Can you see the bird in that tree? Sentence 2: He is blind -- he can not see. Word: see", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1270": { "input": "Sentence 1: They resisted every effort on his part. Sentence 2: It requires vigilance on our part. Word: part", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1271": { "input": "Sentence 1: A crop circle was made in a corn field. Sentence 2: He planted a field of wheat. Word: field", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1272": { "input": "Sentence 1: Can you follow her argument? Sentence 2: When he lectures, I can not follow. Word: follow", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1273": { "input": "Sentence 1: I didn't shed many tears when he left me. Sentence 2: Our dog sheds every Spring. Word: shed", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1274": { "input": "Sentence 1: They gained ground step by step. Sentence 2: They fought to regain the lost ground. Word: ground", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1275": { "input": "Sentence 1: A trial of progesterone failed to relieve the pain. Sentence 2: Candidates must compete in a trial of skill. Word: trial", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1276": { "input": "Sentence 1: At that point I had to leave. Sentence 2: A row of points. Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1277": { "input": "Sentence 1: Your performance doesn't even touch that of your colleagues. Sentence 2: I wouldn't touch her with a ten-foot pole. Word: touch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1278": { "input": "Sentence 1: Set fire to a building. Sentence 2: The moon sets at eight o'clock tonight. Word: set", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1279": { "input": "Sentence 1: Corruption of a minor. Sentence 2: The luxury and corruption among the upper classes. Word: corruption", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1280": { "input": "Sentence 1: He bought his brother's business. Sentence 2: Business has been slow lately. Word: business", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1281": { "input": "Sentence 1: Throw accusations at someone. Sentence 2: The horse threw its inexperienced rider. Word: throw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1282": { "input": "Sentence 1: Break a circuit. Sentence 2: Who broke into my account last night? Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1283": { "input": "Sentence 1: Let's break for lunch. Sentence 2: A man broken by the terrible experience of near-death. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1284": { "input": "Sentence 1: I went to see my friend Mary the other day. Sentence 2: This program will be seen all over the world. Word: see", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1285": { "input": "Sentence 1: He does not support his natural children. Sentence 2: The scholarship supported me when I was in college. Word: support", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1286": { "input": "Sentence 1: A member of the faculty. Sentence 2: Only members will be admitted. Word: member", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1287": { "input": "Sentence 1: To make like a deer caught in the headlights. Sentence 2: Make merry. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1288": { "input": "Sentence 1: The price of success is hard work. Sentence 2: What price glory? Word: price", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1289": { "input": "Sentence 1: My cold is gone -- I feel fine today. Sentence 2: She felt sad after her loss. Word: feel", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1290": { "input": "Sentence 1: The cattle roam across the prairie. Sentence 2: The gypsies roamed the woods. Word: roam", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1291": { "input": "Sentence 1: Stone tools precede bronze tools. Sentence 2: Bill preceded John in the long line of Susan's husbands. Word: precede", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1292": { "input": "Sentence 1: The body of the car was badly rusted. Sentence 2: Wool has more body than rayon. Word: body", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1293": { "input": "Sentence 1: After that failure he lost his confidence. Sentence 2: Everyone trusted him with their confidences. Word: confidence", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1294": { "input": "Sentence 1: We could always call on a friend. Sentence 2: The engineer called round whilst you were away. Word: call", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1295": { "input": "Sentence 1: Intellectual bankruptcy. Sentence 2: Spiritual bankruptcy. Word: bankruptcy", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1296": { "input": "Sentence 1: I saw through his little game from the start. Sentence 2: You need four people to play this game. Word: game", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1297": { "input": "Sentence 1: A trial of progesterone failed to relieve the pain. Sentence 2: A sample for ten days free trial. Word: trial", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1298": { "input": "Sentence 1: We can not trust anyone who deceives us. Sentence 2: In God We Trust-written on denominations of US currency. Word: trust", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1299": { "input": "Sentence 1: Give him his due -- he is a good actor. Sentence 2: Give the devil his due. Word: due", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1300": { "input": "Sentence 1: General Smith was placed in command. Sentence 2: A good command of French. Word: command", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1301": { "input": "Sentence 1: We had to dress quickly. Sentence 2: Marlene dressed herself. Word: dress", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1302": { "input": "Sentence 1: You have no right to go through my personal diary. Sentence 2: They are endowed by their Creator with certain unalienable Rights. Word: right", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1303": { "input": "Sentence 1: This old radio doesn't work anymore. Sentence 2: This pilot works the controls. Word: work", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1304": { "input": "Sentence 1: One end of the box was marked 'This side up'. Sentence 2: The ends justify the means. Word: end", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1305": { "input": "Sentence 1: Give a course. Sentence 2: She gave the boy a good spanking. Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1306": { "input": "Sentence 1: The wine has a nutty flavor and a pleasant finish. Sentence 2: Booze will be the finish of him. Word: finish", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1307": { "input": "Sentence 1: Take shelter from the storm. Sentence 2: Take a test. Word: take", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1308": { "input": "Sentence 1: He learned to tolerate the heat. Sentence 2: I can tolerate working on Saturdays, but not on Sundays. Word: tolerate", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1309": { "input": "Sentence 1: The luck of the Irish. Sentence 2: They say luck is a lady. Word: luck", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1310": { "input": "Sentence 1: Nobody can break out -- this prison is high security. Sentence 2: They broke into my car and stole my radio! Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1311": { "input": "Sentence 1: I understand what she means. Sentence 2: I understand wanting more. Word: understand", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1312": { "input": "Sentence 1: Stretch the fabric. Sentence 2: I stretched the rubber band until it almost broke. Word: stretch", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1313": { "input": "Sentence 1: There was a drop in pressure in the pulmonary artery. Sentence 2: A drop of 57 points on the Dow Jones index. Word: drop", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1314": { "input": "Sentence 1: The military academy at West Point. Sentence 2: The French Academy. Word: academy", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1315": { "input": "Sentence 1: He prepared his presentation carefully in advance. Sentence 2: Cesarean sections are sometimes the result of abnormal presentations. Word: presentation", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1316": { "input": "Sentence 1: A liberal political complexion. Sentence 2: He altered the complexion of his times. Word: complexion", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1317": { "input": "Sentence 1: Suck the poison from the place where the snake bit. Sentence 2: This sucks! Word: suck", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1318": { "input": "Sentence 1: He borrowed a large sum. Sentence 2: The sum of forty pounds. Word: sum", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1319": { "input": "Sentence 1: I keep my specimens under glass to protect them. Sentence 2: Keep my job for me while I give birth. Word: keep", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1320": { "input": "Sentence 1: He is playing third. Sentence 2: Now put it into third. Word: third", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1321": { "input": "Sentence 1: There is an opening in the sales department. Sentence 2: He slipped through an opening in the crowd. Word: opening", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1322": { "input": "Sentence 1: I bet she will be there! Sentence 2: You can bet on that! Word: bet", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1323": { "input": "Sentence 1: You'll pay for this! Sentence 2: You'll pay for this opinion later. Word: pay", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1324": { "input": "Sentence 1: Start from the bottom and work towards the top. Sentence 2: This dough does not work easily. Word: work", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1325": { "input": "Sentence 1: I think he is very smart. Sentence 2: Think what a scene it must have been! Word: think", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1326": { "input": "Sentence 1: A mother's love is not easily shaken. Sentence 2: The theater was her first love. Word: love", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1327": { "input": "Sentence 1: I got some great bargains at their annual sale. Sentence 2: They held a sale to reduce their inventory. Word: sale", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1328": { "input": "Sentence 1: Cold is a vasoconstrictor. Sentence 2: Come in, out of the cold. Word: cold", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1329": { "input": "Sentence 1: Cover the child with a blanket. Sentence 2: Cover the grave with flowers. Word: cover", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1330": { "input": "Sentence 1: Kronas kurss -- the exchange rate of the krona. Sentence 2: Grāmata maksā piecas kronas -- the book costs five krona. Word: krona", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1331": { "input": "Sentence 1: Stretch out that piece of cloth. Sentence 2: I always stretch my muscles before exercising. Word: stretch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1332": { "input": "Sentence 1: The press of business matters. Sentence 2: Stop the presses! Word: press", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1333": { "input": "Sentence 1: Set these words in italics. Sentence 2: Set the tray down. Word: set", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1334": { "input": "Sentence 1: The defensive line braced to stop the run. Sentence 2: The team enjoyed a brief run of victories. Word: run", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1335": { "input": "Sentence 1: Nuts shell in falling. Sentence 2: The corn shelled. Word: shell", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1336": { "input": "Sentence 1: I couldn't tell what the thing was. Sentence 2: She has a thing about him. Word: thing", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1337": { "input": "Sentence 1: Pull the string gently. Sentence 2: Pull the handle towards you. Word: pull", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1338": { "input": "Sentence 1: Assisted procreation can help those trying to conceive. Sentence 2: The racist conceives such people to be inferior. Word: conceive", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1339": { "input": "Sentence 1: They gave him emotional support during difficult times. Sentence 2: His support kept the family together. Word: support", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1340": { "input": "Sentence 1: His nomination was hotly protested. Sentence 2: There was keen competition for the nomination. Word: nomination", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1341": { "input": "Sentence 1: Round off the amount. Sentence 2: Ninety-five rounds up to one hundred. Word: round", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1342": { "input": "Sentence 1: The book had an important impact on my thinking. Sentence 2: His friend's opinion had an impact on his decision. Word: impact", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1343": { "input": "Sentence 1: Hastened the period of time of his recovery. Sentence 2: Picasso's blue period. Word: period", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1344": { "input": "Sentence 1: He ate a third of the pie. Sentence 2: A simple harmony written in major thirds. Word: third", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1345": { "input": "Sentence 1: The power of his love saved her. Sentence 2: The deterrent power of nuclear weapons. Word: power", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1346": { "input": "Sentence 1: He uttered harsh language. Sentence 2: The English language. Word: language", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1347": { "input": "Sentence 1: The seat of a saddle. Sentence 2: There were not enough seats for all the guests. Word: seat", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1348": { "input": "Sentence 1: He doesn't care about how / whether she comes. Sentence 2: I don't care what he does. Word: care", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1349": { "input": "Sentence 1: The incarnation is a basic doctrine of classical Christianity. Sentence 2: The four noble truths summarise the main doctrines of Buddhism. Word: doctrine", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1350": { "input": "Sentence 1: I know that the President lied to the people. Sentence 2: I know it's time. Word: know", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1351": { "input": "Sentence 1: It was a mountainous area. Sentence 2: It was a closed area of employment. Word: area", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1352": { "input": "Sentence 1: There was a small opening between the trees. Sentence 2: The opening established the basic theme. Word: opening", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1353": { "input": "Sentence 1: They were arrayed in line of battle. Sentence 2: He drew a line on the chart. Word: line", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1354": { "input": "Sentence 1: The Moon is a natural satellite of the Earth. Sentence 2: Many telecommunication satellites orbit at 36000 km above the equator. Word: satellite", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1355": { "input": "Sentence 1: This computer will connect well to the network. Sentence 2: Herman connected the computers. Word: connect", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1356": { "input": "Sentence 1: I mean no harm. Sentence 2: I only meant to help you. Word: mean", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1357": { "input": "Sentence 1: Language sets homo sapiens apart from all other animals. Sentence 2: The language introduced is standard throughout the text. Word: language", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1358": { "input": "Sentence 1: Seek happiness. Sentence 2: Seek an education. Word: seek", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1359": { "input": "Sentence 1: Your wish will come true. Sentence 2: Winter comes after autumn. Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1360": { "input": "Sentence 1: The sequence of reciprocals has zero as its limit. Sentence 2: To the limit of his ability. Word: limit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1361": { "input": "Sentence 1: It is growing rapidly with no limitation in sight. Sentence 2: Statute of limitations. Word: limitation", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1362": { "input": "Sentence 1: Take steps. Sentence 2: Take the gun from your pocket. Word: take", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1363": { "input": "Sentence 1: Do you know my sister? Sentence 2: She doesn't know this composer. Word: know", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1364": { "input": "Sentence 1: To attain (or to reach) proficiency. Sentence 2: A test of proficiency in English. Word: proficiency", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1365": { "input": "Sentence 1: Her death came as a terrible shock. Sentence 2: He had two deaths on his conscience. Word: death", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1366": { "input": "Sentence 1: I carry these thoughts in the back of my head. Sentence 2: Amanda carried the package from home to New York. Word: carry", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1367": { "input": "Sentence 1: Hold your breath. Sentence 2: He's held by a contract. Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1368": { "input": "Sentence 1: Stay alone. Sentence 2: Stay put in the corner here! Word: stay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1369": { "input": "Sentence 1: Ping your machine in the office. Sentence 2: The bugs pinged the lamp shade. Word: ping", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1370": { "input": "Sentence 1: He rode into the mouth of the canyon. Sentence 2: They built a fire at the mouth of the cave. Word: mouth", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1371": { "input": "Sentence 1: There was widespread danger of disease. Sentence 2: You are in no danger. Word: danger", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1372": { "input": "Sentence 1: The political picture is favorable. Sentence 2: The dictionary had many pictures. Word: picture", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1373": { "input": "Sentence 1: She tied her bikini top. Sentence 2: He screamed at the top of his lungs. Word: top", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1374": { "input": "Sentence 1: Draw pulp from the fruit. Sentence 2: To draw a memorial, a deed, or bill of exchange. Word: draw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1375": { "input": "Sentence 1: Shape the dough. Sentence 2: Shape a figure. Word: shape", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1376": { "input": "Sentence 1: A number 13 shoe. Sentence 2: This sweater is an all-wool number. Word: number", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1377": { "input": "Sentence 1: Can the child dress by herself? Sentence 2: Marlene dressed herself. Word: dress", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1378": { "input": "Sentence 1: Refine pig iron. Sentence 2: Refine oil. Word: refine", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1379": { "input": "Sentence 1: Do research. Sentence 2: This car does 150 miles per hour. Word: do", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1380": { "input": "Sentence 1: Please speak up, the line is very faint. Sentence 2: A dedicated line. Word: line", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1381": { "input": "Sentence 1: Cut a check. Sentence 2: Cut the rope. Word: cut", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1382": { "input": "Sentence 1: These pipes carry waste water into the river. Sentence 2: Amanda carried the package to New York from home. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1383": { "input": "Sentence 1: They traditionally trim the tree on Christmas Eve. Sentence 2: The airplane trimmed. Word: trim", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1384": { "input": "Sentence 1: Open a window and let in some air. Sentence 2: Air pollution. Word: air", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1385": { "input": "Sentence 1: His plan of attack was misguided. Sentence 2: An attack on inflation. Word: attack", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1386": { "input": "Sentence 1: Mow the grass. Sentence 2: He mowed the lawn. Word: mow", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1387": { "input": "Sentence 1: Strike an arc. Sentence 2: The bullet struck her thigh. Word: strike", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1388": { "input": "Sentence 1: Can you shed light on this problem? Sentence 2: Put that light out! Word: light", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1389": { "input": "Sentence 1: A dedicated line. Sentence 2: The letter consisted of three short lines. Word: line", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1390": { "input": "Sentence 1: A great congregation of birds flew over. Sentence 2: A congregation of children pleaded for his autograph. Word: congregation", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1391": { "input": "Sentence 1: Fall prey to an imposter. Sentence 2: Fall in love. Word: fall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1392": { "input": "Sentence 1: Take two aspirin and call me in the morning. Sentence 2: The ship will call in Honolulu tomorrow. Word: call", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1393": { "input": "Sentence 1: The whole floor complained about the lack of heat. Sentence 2: The room has a wooden floor. Word: floor", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1394": { "input": "Sentence 1: The Academy of Music. Sentence 2: The American Academy of Arts and Sciences. Word: academy", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1395": { "input": "Sentence 1: I had no further trade with him. Sentence 2: I did no trades with them once the rumors started. Word: trade", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1396": { "input": "Sentence 1: Pull the trigger of the gun. Sentence 2: Pull the rope. Word: pull", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1397": { "input": "Sentence 1: I didn't catch your name. Sentence 2: One foot caught in the stirrup. Word: catch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1398": { "input": "Sentence 1: The familiar conflict between Republicans and Democrats. Sentence 2: His conflict of interest made him ineligible for the post. Word: conflict", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1399": { "input": "Sentence 1: This multiplication of cells is a natural correlate of growth. Sentence 2: Repeated copying leads to a multiplication of errors. Word: multiplication", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1400": { "input": "Sentence 1: Defense against hurricanes is an urgent problem. Sentence 2: A good boxer needs a good defense. Word: defense", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1401": { "input": "Sentence 1: He left me an almost impossible shot. Sentence 2: He is a crack shot. Word: shot", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1402": { "input": "Sentence 1: Put that light out! Sentence 2: The light of my life. Word: light", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1403": { "input": "Sentence 1: The formation of crystals. Sentence 2: The formation of pseudopods. Word: formation", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1404": { "input": "Sentence 1: Do you have a light? Sentence 2: Hey, buddy, you got a light? Word: light", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1405": { "input": "Sentence 1: The reticulation of a leaf. Sentence 2: The reticulation of a photographic emulsion. Word: reticulation", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1406": { "input": "Sentence 1: Process iron. Sentence 2: Process the applicants. Word: process", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1407": { "input": "Sentence 1: His conflict of interest made him ineligible for the post. Sentence 2: A conflict of loyalties. Word: conflict", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1408": { "input": "Sentence 1: Strip a wall of its wallpaper. Sentence 2: Norm will strip the old varnish before painting the chair. Word: strip", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1409": { "input": "Sentence 1: It was an experience he would not soon forget. Sentence 2: He had a religious experience. Word: experience", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1410": { "input": "Sentence 1: She was humming an air from Beethoven. Sentence 2: Her hand stopped in mid air. Word: air", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1411": { "input": "Sentence 1: Deliver the package to my home. Sentence 2: He doesn't have a home to go to. Word: home", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1412": { "input": "Sentence 1: He stood on the right. Sentence 2: The pharmacy is just on the right past the bookshop. Word: right", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1413": { "input": "Sentence 1: Give a course. Sentence 2: Give a gulp. Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1414": { "input": "Sentence 1: The engineer called round whilst you were away. Sentence 2: Call roll. Word: call", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1415": { "input": "Sentence 1: Victorian furniture is an interest of mine. Sentence 2: Lexicography is one of my interests. Word: interest", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1416": { "input": "Sentence 1: Run a new program on the Mac. Sentence 2: Don't run that software unless you have permission. Word: run", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1417": { "input": "Sentence 1: To apply for the position, complete the application form. Sentence 2: He filled out his tax form. Word: form", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1418": { "input": "Sentence 1: Soon the rain will stop. Sentence 2: The car stopped. Word: stop", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1419": { "input": "Sentence 1: The face of the city is changing. Sentence 2: The face of this company. Word: face", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1420": { "input": "Sentence 1: They were an angry lot. Sentence 2: Lots of people think so. Word: lot", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1421": { "input": "Sentence 1: He tried to understand their system of classification. Sentence 2: The system consists of a motor and a small computer. Word: system", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1422": { "input": "Sentence 1: The foot of the mountain. Sentence 2: The foot of the page. Word: foot", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1423": { "input": "Sentence 1: I can't use this tool. Sentence 2: Use this knife to slice the bread. Word: use", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1424": { "input": "Sentence 1: To line the shelves. Sentence 2: Line one's pockets. Word: line", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1425": { "input": "Sentence 1: To burn the mouth with pepper. Sentence 2: She was burning with anger. Word: burn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1426": { "input": "Sentence 1: The visibility from that angle was good. Sentence 2: Low visibility caused by fog. Word: visibility", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1427": { "input": "Sentence 1: He went out to have a look. Sentence 2: He gave it a good looking at. Word: look", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1428": { "input": "Sentence 1: He attributes the disappointing results to softness in the economy. Sentence 2: And in softness almost beyond hearing. Word: softness", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1429": { "input": "Sentence 1: Did you catch a cold? Sentence 2: I have to catch a train at 7 o'clock. Word: catch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1430": { "input": "Sentence 1: He checked the point on his compass. Sentence 2: A row of points. Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1431": { "input": "Sentence 1: A bad reaction to the medicine. Sentence 2: The forces of reaction carried the election. Word: reaction", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1432": { "input": "Sentence 1: To press a crowd back. Sentence 2: This guy can press 300 pounds. Word: press", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1433": { "input": "Sentence 1: Do you want to work after the age of 60? Sentence 2: She works as a waitress to put herself through college. Word: work", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1434": { "input": "Sentence 1: Immediate demobilization of the reserves. Sentence 2: Demobilization of factories. Word: demobilization", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1435": { "input": "Sentence 1: I have a house and a car. Sentence 2: Have an assistant. Word: have", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1436": { "input": "Sentence 1: 'won't' is a contraction of 'will not'. Sentence 2: 'o'clock' is a contraction of 'of the clock'. Word: contraction", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1437": { "input": "Sentence 1: Ears open to catch every sound. Sentence 2: I caught the aroma of coffee. Word: catch", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1438": { "input": "Sentence 1: Go about the world in a certain manner. Sentence 2: She went through a lot of trouble. Word: go", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1439": { "input": "Sentence 1: Pay attention. Sentence 2: He paid me 5000 pounds for the car. Word: pay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1440": { "input": "Sentence 1: For your sake. Sentence 2: Died for the sake of his country. Word: sake", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1441": { "input": "Sentence 1: Attempts to explain the origin of evil in the world. Sentence 2: Don't go giving me evils! Word: evil", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1442": { "input": "Sentence 1: How many cars does she have? Sentence 2: Have an assistant. Word: have", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1443": { "input": "Sentence 1: Roll your hair around your finger. Sentence 2: Bill rolled the ball down the hill. Word: roll", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1444": { "input": "Sentence 1: Drill a hole into the wall. Sentence 2: Don't drill here, there's a gas pipe. Word: drill", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1445": { "input": "Sentence 1: The chimney corner was full of cobwebs. Sentence 2: A piano was in one corner of the room. Word: corner", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1446": { "input": "Sentence 1: I will check up on the car tomorrow. Sentence 2: Check out the engine. Word: check", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1447": { "input": "Sentence 1: I need to go water the cattle. Sentence 2: We watered the buffalo. Word: water", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1448": { "input": "Sentence 1: To purchase land, to purchase a house. Sentence 2: The family purchased a new car. Word: purchase", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1449": { "input": "Sentence 1: Try the yak butter. Sentence 2: The judge tried both father and son in separate trials. Word: try", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1450": { "input": "Sentence 1: Tap one's memory. Sentence 2: Tap a source of money. Word: tap", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1451": { "input": "Sentence 1: He was ejected for protesting the call. Sentence 2: I received several calls today. Word: call", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1452": { "input": "Sentence 1: Sugar loaf. Sentence 2: Meat loaf. Word: loaf", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1453": { "input": "Sentence 1: We must move quickly. Sentence 2: Come on guys, let's move: there's work to do! Word: move", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1454": { "input": "Sentence 1: He walked to school every morning. Sentence 2: The school was built in 1932. Word: school", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1455": { "input": "Sentence 1: A chair is furniture. Sofas are also furniture. Sentence 2: There was only one piece of furniture in the room. Word: furniture", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1456": { "input": "Sentence 1: We must develop more potential customers. Sentence 2: We develop the leaders for the future. Word: develop", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1457": { "input": "Sentence 1: A body of law. Sentence 2: They found the body in the lake. Word: body", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1458": { "input": "Sentence 1: It should arrive any day now. Sentence 2: These days it is not unusual. Word: day", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1459": { "input": "Sentence 1: He dusted off the seat before sitting down. Sentence 2: There are two hundred seats in this classroom. Word: seat", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1460": { "input": "Sentence 1: If the vase falls to the floor, it might break. Sentence 2: She broke the vase. Word: break", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1461": { "input": "Sentence 1: When is your baby due? Sentence 2: The baby of the family. Word: baby", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1462": { "input": "Sentence 1: Charge all weapons, shields, and banners. Sentence 2: He charged the director with indifference. Word: charge", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1463": { "input": "Sentence 1: The application of indexes to tables of data. Sentence 2: The iPhone application VR+ connects to major social networks. Word: application", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1464": { "input": "Sentence 1: Extend a hand. Sentence 2: My land extends over the hills on the horizon. Word: extend", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1465": { "input": "Sentence 1: They hope to make a bigger profit. Sentence 2: You have to spend money to make money! Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1466": { "input": "Sentence 1: It is much cooler in the shade. Sentence 2: Close the shade, please: it's too bright in here. Word: shade", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1467": { "input": "Sentence 1: Social life. Sentence 2: City life. Word: life", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1468": { "input": "Sentence 1: I keep my specimens under glass to protect them. Sentence 2: Keep on working! Word: keep", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1469": { "input": "Sentence 1: Fall by the wayside. Sentence 2: The cities fell to the enemy. Word: fall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1470": { "input": "Sentence 1: Charlie likes to play Mary. Sentence 2: Princeton plays Yale this weekend. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1471": { "input": "Sentence 1: The train pulled into the station. Sentence 2: He started looking for a gas station. Word: station", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1472": { "input": "Sentence 1: Block the wheels of a car. Sentence 2: Block his election. Word: block", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1473": { "input": "Sentence 1: This is a nice place for a picnic. Sentence 2: A place in my heart. Word: place", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1474": { "input": "Sentence 1: Muslims fast during Ramadan. Sentence 2: Catholics sometimes fast during Lent. Word: fast", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1475": { "input": "Sentence 1: Strike 'z' on the keyboard. Sentence 2: The horse finally struck a pace. Word: strike", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1476": { "input": "Sentence 1: The union of opposing factions. Sentence 2: The Soviet Union. Word: union", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1477": { "input": "Sentence 1: Marsupials carry their young in a pouch. Sentence 2: The senator carried his home state. Word: carry", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1478": { "input": "Sentence 1: 200 head of cattle. Sentence 2: A reduction in the assessment per head of sheep. Word: head", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1479": { "input": "Sentence 1: The workers spell every four hours. Sentence 2: To spell the helmsman. Word: spell", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1480": { "input": "Sentence 1: Did you get it? Sentence 2: I just don't get him. Word: get", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1481": { "input": "Sentence 1: Play games. Sentence 2: We played hockey all afternoon. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1482": { "input": "Sentence 1: Stretch the fabric. Sentence 2: I always stretch my muscles before exercising. Word: stretch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1483": { "input": "Sentence 1: Play football. Sentence 2: We played hockey all afternoon. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1484": { "input": "Sentence 1: Play safe. Sentence 2: Play fair. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1485": { "input": "Sentence 1: Raise the price of bread. Sentence 2: Raise my salary. Word: raise", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1486": { "input": "Sentence 1: The material lost 2 inches per yard in shrinkage. Sentence 2: Shrinkage is the retail trade's euphemism for shoplifting. Word: shrinkage", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1487": { "input": "Sentence 1: I define myself as a techno-anarchist. Sentence 2: Define 'sadness'. Word: define", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1488": { "input": "Sentence 1: The book of Isaiah. Sentence 2: Genesis is the first book of the Bible. Word: book", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1489": { "input": "Sentence 1: It just won't make much of a difference to anyone. Sentence 2: It just won't make much difference to me. Word: difference", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1490": { "input": "Sentence 1: In defense he said the other man started it. Sentence 2: The artillery battered down the defenses. Word: defense", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1491": { "input": "Sentence 1: Raise from the dead. Sentence 2: Raise a protest. Word: raise", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1492": { "input": "Sentence 1: Beg the question. Sentence 2: Beg the point in the discussion. Word: beg", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1493": { "input": "Sentence 1: Cold is a vasoconstrictor. Sentence 2: Come in out of the cold. Word: cold", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1494": { "input": "Sentence 1: Strike a medal. Sentence 2: The teacher struck the child. Word: strike", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1495": { "input": "Sentence 1: I have faith in the goodness of my fellow man. Sentence 2: They broke faith with their investors. Word: faith", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1496": { "input": "Sentence 1: Verify a claim. Sentence 2: Please verify that the doors are closed. Word: verify", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1497": { "input": "Sentence 1: The south wall had a small window. Sentence 2: We're adding another wall in this room during the remodeling. Word: wall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1498": { "input": "Sentence 1: His threat to kill me was quite explicit. Sentence 2: Earthquakes are a constant threat in Japan. Word: threat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1499": { "input": "Sentence 1: Receive letters from the front. Sentence 2: He received Christ. Word: receive", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1500": { "input": "Sentence 1: Canada is a member of the United Nations. Sentence 2: Members of the opposite sex. Word: member", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1501": { "input": "Sentence 1: You must consider her age. Sentence 2: I'm considering going to the beach tomorrow. Word: consider", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1502": { "input": "Sentence 1: He has a very complicated love life. Sentence 2: He hadn't had any love in months. Word: love", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1503": { "input": "Sentence 1: The hills around here fall towards the ocean. Sentence 2: Her weight fell to under a hundred pounds. Word: fall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1504": { "input": "Sentence 1: Can you work an electric drill? Sentence 2: This pilot works the controls. Word: work", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1505": { "input": "Sentence 1: Lob the tennis ball. Sentence 2: The guard lobbed a pass just over the defender. Word: lob", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1506": { "input": "Sentence 1: The melon had a delicious taste. Sentence 2: The candy left him with a bad taste. Word: taste", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1507": { "input": "Sentence 1: Stand the test of time. Sentence 2: She stands 6 feet tall. Word: stand", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1508": { "input": "Sentence 1: We simply could not start the engine. Sentence 2: John started the party. Word: start", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1509": { "input": "Sentence 1: His reaction was the product of hunger and fatigue. Sentence 2: Skill is the product of hours of practice. Word: product", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1510": { "input": "Sentence 1: Did you catch that allusion? Sentence 2: He caught the allusion in her glance. Word: catch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1511": { "input": "Sentence 1: Soon the rain will stop. Sentence 2: The riots stopped when police moved in. Word: stop", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1512": { "input": "Sentence 1: We must follow closely the economic development is Cuba. Sentence 2: Please follow the guide through the museum. Word: follow", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1513": { "input": "Sentence 1: We added a new rosebush to our rose bed. Sentence 2: The gardener planted a bed of roses. Word: bed", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1514": { "input": "Sentence 1: The whole school turned out for the game. Sentence 2: He didn't miss a single day of school. Word: school", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1515": { "input": "Sentence 1: Magnolias belong to the division Magnoliophyta. Sentence 2: The BBC's engineering division. Word: division", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1516": { "input": "Sentence 1: Moved from third to fifth position. Sentence 2: Stand in this position, with your arms at your side. Word: position", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1517": { "input": "Sentence 1: It worked up to right now. Sentence 2: Now is the right time. Word: now", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1518": { "input": "Sentence 1: Settling a score. Sentence 2: The score was 7 to 0. Word: score", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1519": { "input": "Sentence 1: The missionaries quickly spread their new message across the country. Sentence 2: He spread fertilizer over the lawn. Word: spread", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1520": { "input": "Sentence 1: Fire a bullet. Sentence 2: Surrender fires the cold skepticism. Word: fire", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1521": { "input": "Sentence 1: Her features had a delicate cast to them. Sentence 2: The delicate cast of his features. Word: cast", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1522": { "input": "Sentence 1: Polish my shoes. Sentence 2: He polished up the chrome until it gleamed. Word: polish", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1523": { "input": "Sentence 1: If you cut then I'll deal. Sentence 2: The employer wants to cut back health benefits. Word: cut", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1524": { "input": "Sentence 1: The addition of a leap day every four years. Sentence 2: The addition of cinnamon improved the flavor. Word: addition", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1525": { "input": "Sentence 1: Do you think the sofa will go through the door? Sentence 2: The belt just barely went around his waist. Word: go", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1526": { "input": "Sentence 1: Check into the rumor. Sentence 2: Check the time of the class. Word: check", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1527": { "input": "Sentence 1: To my immense gratification he arrived on time. Sentence 2: Dull repetitious work gives no gratification. Word: gratification", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1528": { "input": "Sentence 1: There is an opening in the sales department. Sentence 2: A salamander darted out of an opening in the rocks. Word: opening", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1529": { "input": "Sentence 1: Education is the door to success. Sentence 2: I knocked on the vice president's door. Word: door", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1530": { "input": "Sentence 1: There's little to earn and many to keep. Sentence 2: His snoring kept me from falling asleep. Word: keep", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1531": { "input": "Sentence 1: He wrote on the flap of the envelope. Sentence 2: The flap of a sail. Word: flap", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1532": { "input": "Sentence 1: A long and happy marriage. Sentence 2: Their marriage was conducted in the chapel. Word: marriage", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1533": { "input": "Sentence 1: The room has a wooden floor. Sentence 2: They needed rugs to cover the bare floors. Word: floor", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1534": { "input": "Sentence 1: An air of mystery. Sentence 2: The house had a neglected air. Word: air", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1535": { "input": "Sentence 1: I've been suffering your insults for years. Sentence 2: Many saints suffered martyrdom. Word: suffer", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1536": { "input": "Sentence 1: We must develop more potential customers. Sentence 2: The embryo develops into a fetus. Word: develop", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1537": { "input": "Sentence 1: He enjoyed selling but he hated the travel. Sentence 2: Space travel. Word: travel", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1538": { "input": "Sentence 1: Gather some stones. Sentence 2: The teacher gathered the kids together. Word: gather", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1539": { "input": "Sentence 1: The fringe of a picture. Sentence 2: Interference fringe. Word: fringe", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1540": { "input": "Sentence 1: Efface the memory of the time in the camps. Sentence 2: Efface oneself. Word: efface", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1541": { "input": "Sentence 1: Mid term goals. Sentence 2: A prison term. Word: term", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1542": { "input": "Sentence 1: The maths problem is a real snorter, isn't it? Sentence 2: The problem was a real snorter. Word: snorter", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1543": { "input": "Sentence 1: He played catch with his son in the backyard. Sentence 2: The kids love to play catch. Word: catch", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1544": { "input": "Sentence 1: The horse threw its rider. Sentence 2: She threw herself forwards. Word: throw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1545": { "input": "Sentence 1: Arrogance and lack of taste contributed to his rapid success. Sentence 2: She enjoyed her brief taste of independence. Word: taste", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1546": { "input": "Sentence 1: The soccer player began to swing at the referee. Sentence 2: He swung his left fist. Word: swing", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1547": { "input": "Sentence 1: I'm not going to buy your stupid excuses anymore! Sentence 2: Carmen bought a dress for $50. Word: buy", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1548": { "input": "Sentence 1: The point guard drove toward the basket. Sentence 2: Let's play some basket. Word: basket", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1549": { "input": "Sentence 1: He doesn't know how to use a computer. Sentence 2: Use this knife to slice the bread. Word: use", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1550": { "input": "Sentence 1: We take the Times every day. Sentence 2: Take action. Word: take", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1551": { "input": "Sentence 1: When will the meeting be? Sentence 2: The woman is walking. Word: be", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1552": { "input": "Sentence 1: Catch fire. Sentence 2: The trees caught quickly in the dry wind. Word: catch", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1553": { "input": "Sentence 1: His mother threatened to spank him if he didn't behave. Sentence 2: The children must learn to behave. Word: behave", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1554": { "input": "Sentence 1: Pull the old soup cans from the supermarket shelf. Sentence 2: Pull a bank robbery. Word: pull", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1555": { "input": "Sentence 1: A crop circle was made in a corn field. Sentence 2: They are outstanding in their field. Word: field", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1556": { "input": "Sentence 1: Arouse pity. Sentence 2: To arouse jealousy. Word: arouse", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1557": { "input": "Sentence 1: The sauce should reduce to one cup. Sentence 2: The cells reduce. Word: reduce", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1558": { "input": "Sentence 1: Spread information. Sentence 2: Spread your arms. Word: spread", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1559": { "input": "Sentence 1: Cover her face with a handkerchief. Sentence 2: This should cover everyone in the group. Word: cover", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1560": { "input": "Sentence 1: I could hear the breath of the runner behind me. Sentence 2: He took a deep breath and dived into the pool. Word: breath", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1561": { "input": "Sentence 1: A riding academy. Sentence 2: The French Academy. Word: academy", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1562": { "input": "Sentence 1: Hold your tongue. Sentence 2: He can hold his liquor. Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1563": { "input": "Sentence 1: Nothing good will come of this. Sentence 2: The bill came to $2,000. Word: come", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1564": { "input": "Sentence 1: To empty a well or a cistern. Sentence 2: The cinema emptied quickly after the end of the film. Word: empty", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1565": { "input": "Sentence 1: The order of Saint Benedict. Sentence 2: An explosion of a low order of magnitude. Word: order", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1566": { "input": "Sentence 1: I can't use this tool. Sentence 2: Use the plastic bags to store the food. Word: use", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1567": { "input": "Sentence 1: Her surprise did not register. Sentence 2: Register for an election. Word: register", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1568": { "input": "Sentence 1: To approach the city. Sentence 2: We were approaching our destination. Word: approach", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1569": { "input": "Sentence 1: He was suspected of implication in several robberies. Sentence 2: The expectation was spread both by word and by implication. Word: implication", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1570": { "input": "Sentence 1: The line of soldiers advanced with their bayonets fixed. Sentence 2: In line with. Word: line", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1571": { "input": "Sentence 1: Slices of hard-boiled egg on a bed of spinach. Sentence 2: River bed. Word: bed", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1572": { "input": "Sentence 1: He had a religious experience. Sentence 2: He recalled the experience vividly. Word: experience", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1573": { "input": "Sentence 1: Come into the room. Sentence 2: Come down here! Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1574": { "input": "Sentence 1: Ancient Egyptians believed in the divinity of the Pharaohs. Sentence 2: Harvard Divinity School has been teaching theology since 1636. Word: divinity", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1575": { "input": "Sentence 1: Tea has fragrant white flowers. Sentence 2: We met at the Dean's tea for newcomers. Word: tea", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1576": { "input": "Sentence 1: Can I go now? Sentence 2: It's your turn; go. Word: go", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1577": { "input": "Sentence 1: The war on poverty. Sentence 2: In the US, conservatives rail against the \"war on Christmas\". Word: war", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1578": { "input": "Sentence 1: This dough does not work easily. Sentence 2: Can you work an electric drill? Word: work", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1579": { "input": "Sentence 1: His heroism saved a life. Sentence 2: She's my love, my life. Word: life", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1580": { "input": "Sentence 1: I mean no harm. Sentence 2: Happiness means everything. Word: mean", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1581": { "input": "Sentence 1: Trace a pattern. Sentence 2: Trace a design. Word: trace", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1582": { "input": "Sentence 1: A sense of happiness. Sentence 2: In the best sense charity is really a duty. Word: sense", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1583": { "input": "Sentence 1: You must carry your camping gear. Sentence 2: Amanda carried the package. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1584": { "input": "Sentence 1: I know your mother, but I've never met your father. Sentence 2: I know this voice! Word: know", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1585": { "input": "Sentence 1: This car does not compare with our line of Mercedes. Sentence 2: You can't compare my problems and yours. Word: compare", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1586": { "input": "Sentence 1: Make a cake. Sentence 2: Make a dress. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1587": { "input": "Sentence 1: He had no clear picture of himself or his world. Sentence 2: He described his mental picture of his assailant. Word: picture", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1588": { "input": "Sentence 1: Beat one's breast. Sentence 2: This sure beats work! Word: beat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1589": { "input": "Sentence 1: Puddle iron. Sentence 2: Puddle young plants. Word: puddle", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1590": { "input": "Sentence 1: The surface had a greasy feeling. Sentence 2: She had a feeling of euphoria. Word: feeling", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1591": { "input": "Sentence 1: This computer will connect well to the network. Sentence 2: Our computers connected. Word: connect", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1592": { "input": "Sentence 1: Can you break a hundred-dollar bill for me? Sentence 2: The dam broke. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1593": { "input": "Sentence 1: I spent my spring holidays in Morocco. Sentence 2: The emerging buds were a sure sign of spring. Word: spring", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1594": { "input": "Sentence 1: He put all his efforts into this job. Sentence 2: I wouldn't put it that way. Word: put", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1595": { "input": "Sentence 1: Strike fire from the flintstone. Sentence 2: Strike a match. Word: strike", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1596": { "input": "Sentence 1: Pay an obligation. Sentence 2: He was allowed to go as soon as he paid. Word: pay", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1597": { "input": "Sentence 1: The crazy lady made a scene in the grocery store. Sentence 2: They saw an angry scene outside the pub. Word: scene", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1598": { "input": "Sentence 1: Cast a warm light. Sentence 2: Cast a vote. Word: cast", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1599": { "input": "Sentence 1: Fall into a trap. Sentence 2: The barometer is falling. Word: fall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1600": { "input": "Sentence 1: A component or constituent element of a system. Sentence 2: Spare components for cars. Word: component", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1601": { "input": "Sentence 1: Work the metal. Sentence 2: The salesman works the Midwest. Word: work", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1602": { "input": "Sentence 1: Pay a visit. Sentence 2: He paid off the loan three months early. Word: pay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1603": { "input": "Sentence 1: To pick rags. Sentence 2: She finally picked her successor. Word: pick", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1604": { "input": "Sentence 1: I can not find my gloves! Sentence 2: Physicists believe they found a new elementary particle. Word: find", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1605": { "input": "Sentence 1: Remove a threat. Sentence 2: Remove the dirty dishes from the table. Word: remove", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1606": { "input": "Sentence 1: I know that the President lied to the people. Sentence 2: She knew of our plan. Word: know", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1607": { "input": "Sentence 1: The set of all rational numbers is a field. Sentence 2: The set of rational numbers, \\mathbbQ, is the prototypical field. Word: field", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1608": { "input": "Sentence 1: The gift of language. Sentence 2: He taught foreign languages. Word: language", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1609": { "input": "Sentence 1: Fill a container. Sentence 2: The liquid fills the container. Word: fill", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1610": { "input": "Sentence 1: They are having a clearance sale: 50% off. Sentence 2: They held a sale to reduce their inventory. Word: sale", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1611": { "input": "Sentence 1: No one wanted to play end. Sentence 2: The end of the pier. Word: end", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1612": { "input": "Sentence 1: To offset one charge against another. Sentence 2: Offset deposits and withdrawals. Word: offset", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1613": { "input": "Sentence 1: He held me up at the point of a gun. Sentence 2: The one with the most points will win the game. Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1614": { "input": "Sentence 1: Give him a hand. Sentence 2: The hired hand fixed the railing. Word: hand", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1615": { "input": "Sentence 1: I want to tell you a story. Sentence 2: The father told a story to his child. Word: tell", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1616": { "input": "Sentence 1: The ocean was finally at rest. Sentence 2: He threw away the rest. Word: rest", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1617": { "input": "Sentence 1: He read his newspaper at breakfast. Sentence 2: Murdoch owns many newspapers. Word: newspaper", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1618": { "input": "Sentence 1: Fall by the wayside. Sentence 2: He fell to his knees. Word: fall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1619": { "input": "Sentence 1: He worked for price stabilization for farm products. Sentence 2: Wage stabilization is necessary for industrial peace. Word: stabilization", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1620": { "input": "Sentence 1: They phoned hoping to place her in the management team. Sentence 2: I placed ten dollars on the Lakers beating the Bulls. Word: place", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1621": { "input": "Sentence 1: The cup of her bra. Sentence 2: He wore a jock strap with a metal cup. Word: cup", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1622": { "input": "Sentence 1: He bought his brother's business. Sentence 2: A racially integrated business concern. Word: business", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1623": { "input": "Sentence 1: Construct an argument. Sentence 2: Construct a proof. Word: construct", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1624": { "input": "Sentence 1: Please check each name on the list. Sentence 2: She checked for an instant and missed a step. Word: check", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1625": { "input": "Sentence 1: Play water from a hose. Sentence 2: The fountains played all day. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1626": { "input": "Sentence 1: I know that I left the key on the table. Sentence 2: Galileo knew that the earth moves around the sun. Word: know", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1627": { "input": "Sentence 1: Strike a balance. Sentence 2: The auto workers are striking for higher wages. Word: strike", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1628": { "input": "Sentence 1: He built a modest dwelling near the pond. Sentence 2: I was doing dwelling in the cave. Word: dwelling", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1629": { "input": "Sentence 1: He held me up at the point of a gun. Sentence 2: Get to the point. Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1630": { "input": "Sentence 1: To fall off a point. Sentence 2: He checked the point on his compass. Word: point", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1631": { "input": "Sentence 1: Service my truck. Sentence 2: The washing machine needs to be serviced. Word: service", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1632": { "input": "Sentence 1: The formation of crystals. Sentence 2: The formation of gas in the intestine. Word: formation", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1633": { "input": "Sentence 1: The banjo had a long neck. Sentence 2: The bottle had a wide neck. Word: neck", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1634": { "input": "Sentence 1: The piano had a very stiff action. Sentence 2: A rifle action. Word: action", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1635": { "input": "Sentence 1: I wish I could go home now. Sentence 2: I wish that Christmas were over. Word: wish", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1636": { "input": "Sentence 1: What does the law say? Sentence 2: She said 'Hello' to everyone in the office. Word: say", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1637": { "input": "Sentence 1: Give a course. Sentence 2: I gave two sons to the war. Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1638": { "input": "Sentence 1: Hold these truths to be self-evident. Sentence 2: Hold your temper. Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1639": { "input": "Sentence 1: This may answer her needs. Sentence 2: A few words would answer. Word: answer", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1640": { "input": "Sentence 1: To admit a serious thought into the mind. Sentence 2: She admitted us here. Word: admit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1641": { "input": "Sentence 1: Let's see -- which movie should we see tonight? Sentence 2: How nice to see you again! Word: see", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1642": { "input": "Sentence 1: To admit a serious thought into the mind. Sentence 2: They were admitted into his house. Word: admit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1643": { "input": "Sentence 1: I want to get there early; let's roll. Sentence 2: The cameras were rolling. Word: roll", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1644": { "input": "Sentence 1: The piece has a fast rhythm. Sentence 2: We walked with a quick, even rhythm. Word: rhythm", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1645": { "input": "Sentence 1: You didn't give me enough notice. Sentence 2: A notice of sale. Word: notice", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1646": { "input": "Sentence 1: The trend of the stock market. Sentence 2: The trend of a coastline. Word: trend", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1647": { "input": "Sentence 1: Trace your path. Sentence 2: Trace the outline of a figure in the sand. Word: trace", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1648": { "input": "Sentence 1: The announcement of the verdict brought a violent reaction. Sentence 2: You were in the courtroom. What is your reaction? Word: reaction", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1649": { "input": "Sentence 1: He doesn't care about how / whether she comes. Sentence 2: I don't care. Word: care", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1650": { "input": "Sentence 1: Offer resistance. Sentence 2: He offered his sympathy. Word: offer", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1651": { "input": "Sentence 1: He gestured for silence. Sentence 2: There was a shocked silence. Word: silence", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1652": { "input": "Sentence 1: He recalled the experience vividly. Sentence 2: It was an experience he would not soon forget. Word: experience", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1653": { "input": "Sentence 1: A rugged complexion. Sentence 2: A liberal political complexion. Word: complexion", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1654": { "input": "Sentence 1: He didn't make the choir after his voice changed. Sentence 2: He made twenty bucks playing poker last night. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1655": { "input": "Sentence 1: To advance one's interests. Sentence 2: We are advancing technology every day. Word: advance", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1656": { "input": "Sentence 1: His deference to her wishes was very flattering. Sentence 2: In deference to your wishes. Word: deference", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1657": { "input": "Sentence 1: When will the meeting be? Sentence 2: There were two hundred people at his funeral. Word: be", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1658": { "input": "Sentence 1: This boat can only carry a small sail. Sentence 2: Amanda carried the package to New York. Word: carry", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1659": { "input": "Sentence 1: I beat the traffic. Sentence 2: The drums beat all night. Word: beat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1660": { "input": "Sentence 1: Teenagers follow their friends in everything. Sentence 2: Follow these simple rules. Word: follow", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1661": { "input": "Sentence 1: Open a window and let in some air. Sentence 2: A smell of chemicals in the air. Word: air", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1662": { "input": "Sentence 1: A cabbage patch. Sentence 2: Doesn't that patch of clouds looks like a bunny? Word: patch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1663": { "input": "Sentence 1: It was on the order of a mile. Sentence 2: Law and order. Word: order", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1664": { "input": "Sentence 1: The voice of experience. Sentence 2: He said his voices told him to do it. Word: voice", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1665": { "input": "Sentence 1: National independence takes priority over class struggle. Sentence 2: He set his e-mail message's priority to high. Word: priority", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1666": { "input": "Sentence 1: Pick meat from a bone. Sentence 2: Pick up the tab. Word: pick", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1667": { "input": "Sentence 1: There's little to earn and many to keep. Sentence 2: Keep count. Word: keep", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1668": { "input": "Sentence 1: Put the kettle on the fire. Sentence 2: Barbecue over an open fire. Word: fire", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1669": { "input": "Sentence 1: Par for this course is 72. Sentence 2: He needs to make this shot for par. Word: par", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1670": { "input": "Sentence 1: His back was nicely tanned. Sentence 2: They pinned a 'kick me' sign on his back. Word: back", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1671": { "input": "Sentence 1: We looked through the glass to see stars. Sentence 2: Would you like a glass of milk? Word: glass", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1672": { "input": "Sentence 1: Make enemies. Sentence 2: What do you make of his remarks? Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1673": { "input": "Sentence 1: Turn the corner. Sentence 2: We turned from Socialism to Capitalism. Word: turn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1674": { "input": "Sentence 1: Picasso's blue period. Sentence 2: A time period of 30 years. Word: period", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1675": { "input": "Sentence 1: You can lose your identity when you join the army. Sentence 2: It was too dark to determine his identity. Word: identity", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1676": { "input": "Sentence 1: Toe a nail. Sentence 2: She toes inwards. Word: toe", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1677": { "input": "Sentence 1: What was your score on your homework? Sentence 2: The score was 7 to 0. Word: score", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1678": { "input": "Sentence 1: Come down here! Sentence 2: Come out of the closet! Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1679": { "input": "Sentence 1: He performed in drag. Sentence 2: He went to the party dressed in drag. Word: drag", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1680": { "input": "Sentence 1: The match ended in their first loss of the season. Sentence 2: The company operated at a loss last year. Word: loss", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1681": { "input": "Sentence 1: Sublime iodine. Sentence 2: Some salts sublime when heated. Word: sublime", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1682": { "input": "Sentence 1: The story is false, so far as I can discover. Sentence 2: Turning the corner, I discovered a lovely little shop. Word: discover", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1683": { "input": "Sentence 1: To arouse anger. Sentence 2: Arouse pity. Word: arouse", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1684": { "input": "Sentence 1: He could not work the math problem. Sentence 2: Work out your problems with the boss. Word: work", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1685": { "input": "Sentence 1: We had to cut short the conversation. Sentence 2: Cut the noise. Word: cut", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1686": { "input": "Sentence 1: Time stops for nobody. Sentence 2: These times were erroneously converted between zones. Word: time", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1687": { "input": "Sentence 1: Beat the cream. Sentence 2: Beat the subway fare. Word: beat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1688": { "input": "Sentence 1: Gather some stones. Sentence 2: People gathered round as he began to tell his story. Word: gather", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1689": { "input": "Sentence 1: He wore a jock strap with a metal cup. Sentence 2: Bees filled the waxen cups with honey. Word: cup", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1690": { "input": "Sentence 1: Rub my hands. Sentence 2: The cat rubbed itself against my leg. Word: rub", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1691": { "input": "Sentence 1: Process a loan. Sentence 2: Process the applicants. Word: process", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1692": { "input": "Sentence 1: Pay a debt. Sentence 2: Don't pay him any mind. Word: pay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1693": { "input": "Sentence 1: He put the lamp back in its place. Sentence 2: He has a special place in my thoughts. Word: place", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1694": { "input": "Sentence 1: Such images define their sense of nationality. Sentence 2: Immigrants of the same nationality often seek each other out. Word: nationality", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1695": { "input": "Sentence 1: Draw parallels. Sentence 2: A ship draws ten feet of water. Word: draw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1696": { "input": "Sentence 1: Float data. Sentence 2: The dancer floated across the stage. Word: float", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1697": { "input": "Sentence 1: We must move quickly. Sentence 2: To move in a matter. Word: move", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1698": { "input": "Sentence 1: To hold good. Sentence 2: The weather held. Word: hold", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1699": { "input": "Sentence 1: The grandfather clock beat midnight. Sentence 2: Beat swords into ploughshares. Word: beat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1700": { "input": "Sentence 1: The Japanese were active last week on the diplomatic front. Sentence 2: They advertise on many different fronts. Word: front", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1701": { "input": "Sentence 1: The word is a basic linguistic unit. Sentence 2: The reduced the number of units and installations. Word: unit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1702": { "input": "Sentence 1: There was a reversal of autonomic function. Sentence 2: The reversal of the image in the lens. Word: reversal", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1703": { "input": "Sentence 1: Corn doesn't grow here. Sentence 2: In these forests, mushrooms grow under the trees. Word: grow", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1704": { "input": "Sentence 1: They gave full play to the artist's talent. Sentence 2: We saw a two-act play in the theatre. Word: play", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1705": { "input": "Sentence 1: I just can't see your point. Sentence 2: Now I see! Word: see", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1706": { "input": "Sentence 1: Work your way through every problem or task. Sentence 2: Start from the bottom and work towards the top. Word: work", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1707": { "input": "Sentence 1: They used the elephants to help put up the circus. Sentence 2: The circus will be in town next week. Word: circus", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1708": { "input": "Sentence 1: Turn your palm this way. Sentence 2: Turn the clay on the wheel. Word: turn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1709": { "input": "Sentence 1: Drop him from the Republican ticket. Sentence 2: The cow dropped her calf this morning. Word: drop", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1710": { "input": "Sentence 1: Follow the road. Sentence 2: Let's follow our great helmsman! Word: follow", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1711": { "input": "Sentence 1: His faith was all the support he needed. Sentence 2: They developed a scheme of mutual support. Word: support", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1712": { "input": "Sentence 1: The story is false, so far as I can discover. Sentence 2: I discovered what he should do. Word: discover", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1713": { "input": "Sentence 1: Make a cake. Sentence 2: He made twenty bucks playing poker last night. Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1714": { "input": "Sentence 1: We will strike a medal in your honour. Sentence 2: Strike a medal. Word: strike", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1715": { "input": "Sentence 1: Get nauseous. Sentence 2: She didn't get to Chicago until after midnight. Word: get", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1716": { "input": "Sentence 1: Retrograde arguments. Sentence 2: Retrograding planets. Word: retrograde", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1717": { "input": "Sentence 1: Those clouds show little sign of raining soon. Sentence 2: They welcomed the signs of spring. Word: sign", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1718": { "input": "Sentence 1: The outcome justified the search. Sentence 2: A thorough search of the ledgers revealed nothing. Word: search", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1719": { "input": "Sentence 1: Fish with a delicate flavor and texture. Sentence 2: Breadfruit has the same texture as bread. Word: texture", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1720": { "input": "Sentence 1: We enjoyed our round of the local bars. Sentence 2: The story is going the rounds in Washington. Word: round", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1721": { "input": "Sentence 1: Develop a market for the new mobile phone. Sentence 2: Please develop this roll of film. Word: develop", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1722": { "input": "Sentence 1: Had a streak of bad luck. Sentence 2: I hope I can keep up this streak of accomplishments. Word: streak", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1723": { "input": "Sentence 1: The office is in the gift of the President. Sentence 2: She had a gift for playing the flute. Word: gift", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1724": { "input": "Sentence 1: Please inspect your father's will carefully. Sentence 2: We inspected the area. Word: inspect", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1725": { "input": "Sentence 1: Park the car in the yard. Sentence 2: Park your bag in this locker. Word: park", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1726": { "input": "Sentence 1: It will pay to wait. Sentence 2: It pays to go through the trouble. Word: pay", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1727": { "input": "Sentence 1: Beat the drum. Sentence 2: Beat one's breast. Word: beat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1728": { "input": "Sentence 1: They shot 20 head of quail. Sentence 2: 200 head of cattle and 50 head of horses. Word: head", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1729": { "input": "Sentence 1: The flight to Paris leaves at 7 o'clock tonight. Sentence 2: I took the noon flight to Chicago. Word: flight", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1730": { "input": "Sentence 1: In England they call a slowpoke a slowcoach. Sentence 2: Hey you slowcoaches in the back! Get a move on! Word: slowcoach", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1731": { "input": "Sentence 1: He applied a coat of a clear finish. Sentence 2: The car's finish was so shiny and new. Word: finish", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1732": { "input": "Sentence 1: A place in my heart. Sentence 2: He comes from a place near Chicago. Word: place", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1733": { "input": "Sentence 1: A unit of wheat is a bushel. Sentence 2: The centimetre is a unit of length. Word: unit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1734": { "input": "Sentence 1: Raise an army. Sentence 2: Raise your 'o'. Word: raise", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1735": { "input": "Sentence 1: The shortness of a stubby pencil. Sentence 2: The patient's shortness of breath. Word: shortness", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1736": { "input": "Sentence 1: Some students had stolen the key to the final exam. Sentence 2: He spoke in a low key. Word: key", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1737": { "input": "Sentence 1: This liquid will soften your laundry. Sentence 2: Soften the butter before beating in the sugar. Word: soften", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1738": { "input": "Sentence 1: I see that you have been promoted. Sentence 2: Did you know that she is seeing an older man? Word: see", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1739": { "input": "Sentence 1: Drop him from the Republican ticket. Sentence 2: Stock prices dropped. Word: drop", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1740": { "input": "Sentence 1: Victorian furniture is an interest of mine. Sentence 2: He counts reading among his interests. Word: interest", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1741": { "input": "Sentence 1: That year there was a crop failure. Sentence 2: He felt that his entire life had been a failure. Word: failure", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1742": { "input": "Sentence 1: Make revolution. Sentence 2: Make an effort. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1743": { "input": "Sentence 1: Rub oil into her skin. Sentence 2: The cat rubbed itself against my leg. Word: rub", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1744": { "input": "Sentence 1: Shuffle the cards. Sentence 2: I shuffled my feet in embarrassment. Word: shuffle", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1745": { "input": "Sentence 1: Stir the soup. Sentence 2: Stir emotions. Word: stir", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1746": { "input": "Sentence 1: The war against crime. Sentence 2: The war on poverty. Word: war", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1747": { "input": "Sentence 1: Keep my job for me while I give birth. Sentence 2: The students keep me on my toes. Word: keep", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1748": { "input": "Sentence 1: I would not call her beautiful. Sentence 2: Take two aspirin and call me in the morning. Word: call", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1749": { "input": "Sentence 1: The people slowly progressed from barbarism to civilization. Sentence 2: He is remembered for his generosity and civilization. Word: civilization", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1750": { "input": "Sentence 1: He inserted the wedge into a split in the log. Sentence 2: They announced a two-for-one split of the common stock. Word: split", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1751": { "input": "Sentence 1: They had sex in the back seat. Sentence 2: We had sex in the back seat. Word: sex", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1752": { "input": "Sentence 1: If the vase falls to the floor, it might break. Sentence 2: She broke the match. Word: break", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1753": { "input": "Sentence 1: Tomorrow the doctor will take the cast off her arm. Sentence 2: Can you take this bag, please. Word: take", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1754": { "input": "Sentence 1: The child's breath came quickly and unevenly. Sentence 2: He was fighting to his last breath. Word: breath", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1755": { "input": "Sentence 1: She read the sky and predicted rain. Sentence 2: I can't read his strange behavior. Word: read", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1756": { "input": "Sentence 1: Can you follow her argument? Sentence 2: Follow a pattern. Word: follow", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1757": { "input": "Sentence 1: To club exertions. Sentence 2: The two men clubbed together. Word: club", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1758": { "input": "Sentence 1: Pad the seat of the chair. Sentence 2: Pad a bra. Word: pad", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1759": { "input": "Sentence 1: He spoke in a low key. Sentence 2: Some students cheated by using the answer key. Word: key", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1760": { "input": "Sentence 1: Hold in place. Sentence 2: I hold with those who say life is sacred. Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1761": { "input": "Sentence 1: Draw a weapon. Sentence 2: A ship draws ten feet of water. Word: draw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1762": { "input": "Sentence 1: Hang the venison for a few days. Sentence 2: Hang one's head in shame. Word: hang", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1763": { "input": "Sentence 1: We stand on common ground. Sentence 2: Paris stands on the Seine. Word: stand", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1764": { "input": "Sentence 1: The accident was a good lesson to me. Sentence 2: He did the lesson for today. Word: lesson", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1765": { "input": "Sentence 1: I won't have this dog in my house! Sentence 2: Have, throw, or make a party. Word: have", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1766": { "input": "Sentence 1: Respect my authority! Sentence 2: He has the authority to issue warrants. Word: authority", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1767": { "input": "Sentence 1: This invention will make you a millionaire. Sentence 2: She made us look silly. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1768": { "input": "Sentence 1: They were at the head of the attack. Sentence 2: The head of the column advanced boldly. Word: head", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1769": { "input": "Sentence 1: Hang a door. Sentence 2: The cloud of suspicion hangs over her. Word: hang", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1770": { "input": "Sentence 1: Communicate a disease. Sentence 2: He communicated his anxieties to the psychiatrist. Word: communicate", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1771": { "input": "Sentence 1: Draw a line. Sentence 2: To draw a memorial, a deed, or bill of exchange. Word: draw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1772": { "input": "Sentence 1: I felt the same way. Sentence 2: That's the way it is. Word: way", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1773": { "input": "Sentence 1: Analyze the evidence in a criminal trial. Sentence 2: The inspector analyzed the building for its soundness. Word: analyze", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1774": { "input": "Sentence 1: She never worked because she inherited a lot of money. Sentence 2: Is your husband working again? Word: work", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1775": { "input": "Sentence 1: He was responsible for the beginning of negotiations. Sentence 2: The beginning of the war. Word: beginning", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1776": { "input": "Sentence 1: Deliver a package. Sentence 2: Our local super market delivers. Word: deliver", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1777": { "input": "Sentence 1: A ship in distress. Sentence 2: She was the classic maiden in distress. Word: distress", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1778": { "input": "Sentence 1: My daughter's fancy wedding is going to break me! Sentence 2: This play will either make or break the playwright. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1779": { "input": "Sentence 1: Deep in her breast lives the silent wound. Sentence 2: He feared that mentioning it might reopen the wound. Word: wound", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1780": { "input": "Sentence 1: Remove a threat. Sentence 2: He removed the marbles from the bag. Word: remove", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1781": { "input": "Sentence 1: He was at the top of his form. Sentence 2: The team was off form last night. Word: form", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1782": { "input": "Sentence 1: Did you ever visit Paris? Sentence 2: The principal visited his rage on the students. Word: visit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1783": { "input": "Sentence 1: Hold one's nose. Sentence 2: Hold the bridge against the enemy's attacks. Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1784": { "input": "Sentence 1: In these forests, mushrooms grow under the trees. Sentence 2: Her hair doesn't grow much anymore. Word: grow", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1785": { "input": "Sentence 1: He was ejected for protesting the call. Sentence 2: He placed a phone call to London. Word: call", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1786": { "input": "Sentence 1: His reaction was the product of hunger and fatigue. Sentence 2: They improve their product every year. Word: product", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1787": { "input": "Sentence 1: It's a quarter til 4. Sentence 2: A quarter after 4 o'clock. Word: quarter", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1788": { "input": "Sentence 1: Thomas listened to his favorite song on the radio yesterday. Sentence 2: A successful musical must have at least three good songs. Word: song", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1789": { "input": "Sentence 1: She's got a perfect smile. Sentence 2: She had a smile on her face. Word: smile", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1790": { "input": "Sentence 1: A heart condition. Sentence 2: A skin condition. Word: condition", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1791": { "input": "Sentence 1: He deserves his day in court. Sentence 2: In the days of sailing ships. Word: day", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1792": { "input": "Sentence 1: Block a muscle. Sentence 2: Block a nerve. Word: block", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1793": { "input": "Sentence 1: I'm leaving work early because I have a doctor's appointment. Sentence 2: They made an appointment to meet at six. Word: appointment", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1794": { "input": "Sentence 1: It can be tricky to land a helicopter. Sentence 2: The plane landed in Istanbul. Word: land", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1795": { "input": "Sentence 1: What do we have here? Sentence 2: He had an insulin shock after eating three candy bars. Word: have", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1796": { "input": "Sentence 1: The mixer returned to the plant for another fill. Sentence 2: He ate his fill of potatoes. Word: fill", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1797": { "input": "Sentence 1: This cartridge has a powder charge of 50 grains. Sentence 2: The battery needed a fresh charge. Word: charge", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1798": { "input": "Sentence 1: A unit of wheat is a bushel. Sentence 2: The word is a basic linguistic unit. Word: unit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1799": { "input": "Sentence 1: Roll out the paper. Sentence 2: The pastry rolls well. Word: roll", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1800": { "input": "Sentence 1: I apply this rule to get good results. Sentence 2: Apply a magnetic field here. Word: apply", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1801": { "input": "Sentence 1: It ended on a sour note. Sentence 2: There was a note of gaiety in her manner. Word: note", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1802": { "input": "Sentence 1: This dough does not work easily. Sentence 2: He could not work the math problem. Word: work", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1803": { "input": "Sentence 1: The formation of memories. Sentence 2: The formation of sentences. Word: formation", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1804": { "input": "Sentence 1: The addition of cinnamon improved the flavor. Sentence 2: He was a new addition to the staff. Word: addition", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1805": { "input": "Sentence 1: In a weak financial state. Sentence 2: The current state of knowledge. Word: state", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1806": { "input": "Sentence 1: They were sitting by the water's edge. Sentence 2: They invaded our territorial waters. Word: water", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1807": { "input": "Sentence 1: The operator couldn't get Kobe because of the earthquake. Sentence 2: Get permission to take a few days off from work. Word: get", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1808": { "input": "Sentence 1: She's my love, my life. Sentence 2: He could no longer cope with the complexities of life. Word: life", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1809": { "input": "Sentence 1: Can I have a dozen eggs, please? Sentence 2: I ordered two dozen doughnuts. Word: dozen", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1810": { "input": "Sentence 1: Files with a red tab will be stored separately. Sentence 2: Pull the tab to open the can. Word: tab", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1811": { "input": "Sentence 1: I keep a small stock of painkillers for emergencies. Sentence 2: There's little to earn and many to keep. Word: keep", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1812": { "input": "Sentence 1: The drinking fountain was out in the hall. Sentence 2: The elevators were at the end of the hall. Word: hall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1813": { "input": "Sentence 1: Set the table. Sentence 2: To set glass in a sash. Word: set", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1814": { "input": "Sentence 1: Turn the legs of the table. Sentence 2: People turn to mysticism at the turn of a millennium. Word: turn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1815": { "input": "Sentence 1: The ballet dancer walked with a graceful attitude. Sentence 2: He assumed an attitude of surrender. Word: attitude", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1816": { "input": "Sentence 1: Get to the point. Sentence 2: At that point I had to leave. Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1817": { "input": "Sentence 1: These ugly billboards have to go! Sentence 2: This chair has got to go. Word: go", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1818": { "input": "Sentence 1: You'll find vitamin C for sale at most pharmacies. Sentence 2: The new line of cars will soon be on sale. Word: sale", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1819": { "input": "Sentence 1: Show me where the business was today. Sentence 2: Business is good today. Word: business", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1820": { "input": "Sentence 1: Set the table. Sentence 2: Set the dogs on the scent of the missing children. Word: set", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1821": { "input": "Sentence 1: He tries to hit on women in bars. Sentence 2: We were hit by really bad weather. Word: hit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1822": { "input": "Sentence 1: Break cigarette smoking. Sentence 2: On the hottest day of the year the refrigerator broke. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1823": { "input": "Sentence 1: Don't fire until you see the whites of their eyes. Sentence 2: Oil fires the furnace. Word: fire", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1824": { "input": "Sentence 1: To press a crowd back. Sentence 2: Press a record. Word: press", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1825": { "input": "Sentence 1: Draw a wagon. Sentence 2: She drew $2,000 from the account. Word: draw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1826": { "input": "Sentence 1: Some students had stolen the key to the final exam. Sentence 2: Some students cheated by using the answer key. Word: key", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1827": { "input": "Sentence 1: My sister lives in that apartment building. Sentence 2: There was a three-story building on the corner. Word: building", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1828": { "input": "Sentence 1: The play lasted two hours. Sentence 2: They made a futile play for power. Word: play", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1829": { "input": "Sentence 1: Political fatigue. Sentence 2: The American public is experiencing scandal fatigue. Word: fatigue", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1830": { "input": "Sentence 1: A head of lettuce. Sentence 2: I've got to go to the head. Word: head", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1831": { "input": "Sentence 1: These shoes come in three colors. Sentence 2: The sleeves come to your knuckles. Word: come", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1832": { "input": "Sentence 1: The temperature could hit 110 F tomorrow. Sentence 2: The movie hits theaters in December. Word: hit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1833": { "input": "Sentence 1: An art exhibition. Sentence 2: I was never any good at art. Word: art", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1834": { "input": "Sentence 1: Rack one's brains. Sentence 2: Rack a camera. Word: rack", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1835": { "input": "Sentence 1: He didn't make the choir after his voice changed. Sentence 2: You have to spend money to make money! Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1836": { "input": "Sentence 1: We take all major credit cards. Sentence 2: Do you take sugar in your coffee? Word: take", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1837": { "input": "Sentence 1: The match ended in their first loss of the season. Sentence 2: His loss of credibility led to his resignation. Word: loss", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1838": { "input": "Sentence 1: My neighbour has an annoying cat. Sentence 2: My neighbour is very irritable and grumpy at times. Word: neighbour", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1839": { "input": "Sentence 1: Read the advertisement. Sentence 2: Have you read Salman Rushdie? Word: read", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1840": { "input": "Sentence 1: Shift the date for our class reunion. Sentence 2: Shift one's position. Word: shift", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1841": { "input": "Sentence 1: The rookie made a brief appearance in the first period. Sentence 2: It was Bernhardt's last appearance in America. Word: appearance", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1842": { "input": "Sentence 1: The application of indexes to tables of data. Sentence 2: The application of maximum thrust. Word: application", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1843": { "input": "Sentence 1: I want to tell a story. Sentence 2: The father told a story to his child. Word: tell", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1844": { "input": "Sentence 1: The horse won by a neck. Sentence 2: The bottle had a wide neck. Word: neck", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1845": { "input": "Sentence 1: The facts had been brought to the surface. Sentence 2: Three quarters of the Earth's surface is covered by water. Word: surface", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1846": { "input": "Sentence 1: Break down a proof. Sentence 2: I broke my foot while playing hockey. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1847": { "input": "Sentence 1: Shell the legumes. Sentence 2: Shell mussels. Word: shell", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1848": { "input": "Sentence 1: We should go farther in this matter. Sentence 2: His money went on drink. Word: go", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1849": { "input": "Sentence 1: A novel application of electronics to medical diagnosis. Sentence 2: December 31 is the deadline for applications. Word: application", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1850": { "input": "Sentence 1: John's attendance for the conventions was not good. Sentence 2: Attendance was up by 50 per cent. Word: attendance", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1851": { "input": "Sentence 1: We carry a very large mortgage. Sentence 2: The troops carried the town after a brief fight. Word: carry", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1852": { "input": "Sentence 1: You can't compare my problems and yours. Sentence 2: John compared his haircut to his friend's. Word: compare", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1853": { "input": "Sentence 1: I like the cut of that suit. Sentence 2: A dress of traditional cut. Word: cut", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1854": { "input": "Sentence 1: Make a wall of stones. Sentence 2: Make a dress. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1855": { "input": "Sentence 1: She knotted the end of the thread. Sentence 2: They rode to the end of the line. Word: end", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1856": { "input": "Sentence 1: Order ruled in the streets. Sentence 2: Law and order. Word: order", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1857": { "input": "Sentence 1: Suddenly her gigantic power melted into softness for the baby. Sentence 2: He attributes the disappointing results to softness in the economy. Word: softness", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1858": { "input": "Sentence 1: I can't read his strange behavior. Sentence 2: The fortune teller read his fate in the crystal ball. Word: read", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1859": { "input": "Sentence 1: Coordinate our efforts. Sentence 2: Coordinate the painters, masons, and plumbers. Word: coordinate", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1860": { "input": "Sentence 1: The facts extend beyond a consideration of her personal assets. Sentence 2: My memory extends back to my fourth year of life. Word: extend", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1861": { "input": "Sentence 1: This time he succeeded. Sentence 2: He called four times. Word: time", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1862": { "input": "Sentence 1: Do you have a light? Sentence 2: The light of my life. Word: light", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1863": { "input": "Sentence 1: To crack a whip. Sentence 2: Crack a safe. Word: crack", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1864": { "input": "Sentence 1: The political left is not holding enough power. Sentence 2: Jab with your left. Word: left", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1865": { "input": "Sentence 1: This diamond comes from a mine in South Africa. Sentence 2: Most coal and ore comes from open-pit mines nowadays. Word: mine", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1866": { "input": "Sentence 1: I beg your pardon. I didn't mean to cause offence. Sentence 2: I begged for her to do it. Word: beg", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1867": { "input": "Sentence 1: Draw on a cigarette. Sentence 2: She drew $2,000 from the account. Word: draw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1868": { "input": "Sentence 1: His daily run keeps him fit. Sentence 2: He broke into a run. Word: run", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1869": { "input": "Sentence 1: Catch the mood. Sentence 2: The Rolls Royce caught us near the exit ramp. Word: catch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1870": { "input": "Sentence 1: He won't step into his father's footsteps. Sentence 2: Step over to the blackboard. Word: step", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1871": { "input": "Sentence 1: The spaceship came under the pull of the gas giant. Sentence 2: The pull of the moon. Word: pull", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1872": { "input": "Sentence 1: You can stay with me while you are in town. Sentence 2: I can only stay for an hour. Word: stay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1873": { "input": "Sentence 1: Cover her face with a handkerchief. Sentence 2: The period covered the turn of the century. Word: cover", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1874": { "input": "Sentence 1: I beg your pardon. I didn't mean to cause offence. Sentence 2: I begged her for release. Word: beg", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1875": { "input": "Sentence 1: The head of the stairs. Sentence 2: She gave great head. Word: head", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1876": { "input": "Sentence 1: The horse threw its rider. Sentence 2: Throw a glance. Word: throw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1877": { "input": "Sentence 1: In the year 1920. Sentence 2: This Chinese year is the year of the Rooster. Word: year", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1878": { "input": "Sentence 1: I want to see results. Sentence 2: Could you see about lunch? Word: see", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1879": { "input": "Sentence 1: Block the book cover. Sentence 2: His brother blocked him at every turn. Word: block", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1880": { "input": "Sentence 1: It ended on a sour note. Sentence 2: He detected a note of sarcasm. Word: note", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1881": { "input": "Sentence 1: That mechanic's a bum -- he couldn't fix a yo-yo. Sentence 2: That guy keeps interrupting the concert. Throw the bum out! Word: bum", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1882": { "input": "Sentence 1: Turn on the spot. Sentence 2: He turned traitor. Word: turn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1883": { "input": "Sentence 1: We know this movie. Sentence 2: Do you know my sister? Word: know", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1884": { "input": "Sentence 1: Philip's dwelling fronted on the street. -- Alfred Tennyson. Sentence 2: I was doing dwelling in the cave. Word: dwelling", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1885": { "input": "Sentence 1: Atheists do not enjoy a favorable position in American life. Sentence 2: Moved from third to fifth position. Word: position", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1886": { "input": "Sentence 1: Do you take sugar in your coffee? Sentence 2: A reading was taken of the earth's tremors. Word: take", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1887": { "input": "Sentence 1: Face the lapels of the jacket. Sentence 2: An enormous dilemma faces us. Word: face", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1888": { "input": "Sentence 1: These potatoes keep for a long time. Sentence 2: She keeps an apartment in Paris for her shopping trips. Word: keep", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1889": { "input": "Sentence 1: I don't care. Sentence 2: We cared about the opera. Word: care", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1890": { "input": "Sentence 1: The Republican nomination for Governor. Sentence 2: His nomination was hotly protested. Word: nomination", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1891": { "input": "Sentence 1: The two stories don't agree in many details. Sentence 2: They agreed with her how to do it. Word: agree", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1892": { "input": "Sentence 1: He threw the ball into the air. Sentence 2: Her hand stopped in mid air. Word: air", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1893": { "input": "Sentence 1: Break cigarette smoking. Sentence 2: His peccadilloes finally broke his marriage. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1894": { "input": "Sentence 1: At what time does your train leave? Sentence 2: Her blood left a stain on the napkin. Word: leave", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1895": { "input": "Sentence 1: Pull your knees towards your chin. Sentence 2: Pull the rope. Word: pull", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1896": { "input": "Sentence 1: The letter of a room. Sentence 2: There are twenty-six letters in the English alphabet. Word: letter", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1897": { "input": "Sentence 1: A school of small glittering fish swam by. Sentence 2: The divers encountered a huge school of mackerel. Word: school", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1898": { "input": "Sentence 1: He was mistreated while in police custody. Sentence 2: The suspect is in custody. Word: custody", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1899": { "input": "Sentence 1: Clear a debt. Sentence 2: The fog cleared in the afternoon. Word: clear", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1900": { "input": "Sentence 1: The line of soldiers advanced with their bayonets fixed. Sentence 2: They were arrayed in line of battle. Word: line", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1901": { "input": "Sentence 1: The party of the first part. Sentence 2: The green party took 12% of the vote. Word: party", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1902": { "input": "Sentence 1: The plane was just a speck in the sky. Sentence 2: A tiny speck of soot. Word: speck", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1903": { "input": "Sentence 1: The policy so far is all stick and no carrot. Sentence 2: The recipe calls for half a stick of butter. Word: stick", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1904": { "input": "Sentence 1: If I had my way. Sentence 2: That's the way it is. Word: way", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1905": { "input": "Sentence 1: Play fair. Sentence 2: Play it safe. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1906": { "input": "Sentence 1: Come down here! Sentence 2: He came from France to Colorado. Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1907": { "input": "Sentence 1: Break a circuit. Sentence 2: Break a promise. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1908": { "input": "Sentence 1: I've always had a liking for reading. Sentence 2: She developed a liking for gin. Word: liking", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1909": { "input": "Sentence 1: 'Now push hard,' said the doctor to the woman. Sentence 2: The guy hanging around the school is pushing drugs. Word: push", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1910": { "input": "Sentence 1: Hoop vats. Sentence 2: To hoop a barrel or puncheon. Word: hoop", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1911": { "input": "Sentence 1: Render the brick walls in the den. Sentence 2: Render thanks. Word: render", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1912": { "input": "Sentence 1: I carry her image in my mind's eye. Sentence 2: His voice carried a lot of anger. Word: carry", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1913": { "input": "Sentence 1: Don't make this into a big deal. Sentence 2: Make yourself clear. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1914": { "input": "Sentence 1: I didn't mean to knock your tooth out. Sentence 2: I mean to go to Baddeck this summer. Word: mean", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1915": { "input": "Sentence 1: A lonely way of life. Sentence 2: Make way for. Word: way", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1916": { "input": "Sentence 1: Give a yelp. Sentence 2: This student gives promise of real creativity. Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1917": { "input": "Sentence 1: Channelize a stream. Sentence 2: Channelize the country for better transportation. Word: channelize", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1918": { "input": "Sentence 1: This mushrooms can poison. Sentence 2: Poison someone's mind. Word: poison", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1919": { "input": "Sentence 1: My ambition is to own a helicopter. Sentence 2: His ambition is to own his own business. Word: ambition", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1920": { "input": "Sentence 1: Perversion also shows up in kinky telephone cords. Sentence 2: The tendrils of the plant exhibited perversion. Word: perversion", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1921": { "input": "Sentence 1: Rub my hands. Sentence 2: I rubbed my hands together for warmth. Word: rub", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1922": { "input": "Sentence 1: He broke the point of his pencil. Sentence 2: He stuck the point of the knife into a tree. Word: point", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1923": { "input": "Sentence 1: A multinational operation. Sentence 2: It can perform millions of operations per second. Word: operation", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1924": { "input": "Sentence 1: The back of the dental chair was adjustable. Sentence 2: He stood at the back of the stage. Word: back", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1925": { "input": "Sentence 1: The publisher wants to distribute the book in Asia. Sentence 2: Values distribute. Word: distribute", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1926": { "input": "Sentence 1: The book dealer would not break the set. Sentence 2: Break off the negotiations. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1927": { "input": "Sentence 1: These shoes come in three colors. Sentence 2: He came through the door. Word: come", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1928": { "input": "Sentence 1: Check into the rumor. Sentence 2: Check the brakes. Word: check", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1929": { "input": "Sentence 1: I hit the jackpot. Sentence 2: The temperature could hit 110 F tomorrow. Word: hit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1930": { "input": "Sentence 1: He drank a cup of coffee. Sentence 2: He borrowed a cup of sugar. Word: cup", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1931": { "input": "Sentence 1: The insurance will replace the lost income. Sentence 2: He replaced the old razor blade. Word: replace", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1932": { "input": "Sentence 1: Make merry. Sentence 2: They made nice together, as if their fight never happened. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1933": { "input": "Sentence 1: Roll out the paper. Sentence 2: She rolled the ball. Word: roll", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1934": { "input": "Sentence 1: Armored from head to foot. Sentence 2: His bare feet projected from his trousers. Word: foot", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1935": { "input": "Sentence 1: Put down 5 and carry 2. Sentence 2: I am carrying his child. Word: carry", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1936": { "input": "Sentence 1: Wash in warm water and tumble dry. Sentence 2: They tumbled the teams with no apparent pattern. Word: tumble", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1937": { "input": "Sentence 1: A multinational operation. Sentence 2: A large-scale farming operation. Word: operation", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1938": { "input": "Sentence 1: The dollar is the United States unit of currency. Sentence 2: The word is a basic linguistic unit. Word: unit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1939": { "input": "Sentence 1: Hold in place. Sentence 2: Hold your breath. Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1940": { "input": "Sentence 1: He stuck the point of the knife into a tree. Sentence 2: A row of points. Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1941": { "input": "Sentence 1: He's come a long way. Sentence 2: The shoes came untied. Word: come", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1942": { "input": "Sentence 1: Is this enough to cover the check? Sentence 2: This paint covers well. Word: cover", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1943": { "input": "Sentence 1: I will carry the secret to my grave. Sentence 2: The painting of Mary carries motherly love. Word: carry", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1944": { "input": "Sentence 1: The statue stood on a marble support. Sentence 2: He leaned against the wall for support. Word: support", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1945": { "input": "Sentence 1: We only use Spanish at home. Sentence 2: Use your head! Word: use", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1946": { "input": "Sentence 1: Pay a visit. Sentence 2: Pay a call. Word: pay", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1947": { "input": "Sentence 1: How did your interview go? Sentence 2: Do you think the sofa will go through the door? Word: go", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1948": { "input": "Sentence 1: A critical time in the school's history. Sentence 2: History repeats itself if we don't learn from its mistakes. Word: history", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1949": { "input": "Sentence 1: He left school before the end of term. Sentence 2: The term allowed to a debtor to discharge his debt. Word: term", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1950": { "input": "Sentence 1: He got several girls in trouble. Sentence 2: One trouble after another delayed the job. Word: trouble", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1951": { "input": "Sentence 1: Run a new program on the Mac. Sentence 2: Our coach had us running plays for the whole practice. Word: run", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1952": { "input": "Sentence 1: He took a deep breath and dived into the pool. Sentence 2: I could feel the runner's breath on my shoulder. Word: breath", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1953": { "input": "Sentence 1: We had to stand for the entire performance! Sentence 2: They stood the statue on the pedestal. Word: stand", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1954": { "input": "Sentence 1: Bake the potatoes. Sentence 2: She's been baking all day to prepare for the dinner. Word: bake", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1955": { "input": "Sentence 1: We have a fix on your position. Sentence 2: He got a good fix on the target. Word: fix", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1956": { "input": "Sentence 1: He asked for a poll of public opinion. Sentence 2: His opinions appeared frequently on the editorial page. Word: opinion", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1957": { "input": "Sentence 1: The face of the city is changing. Sentence 2: He washed his face. Word: face", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1958": { "input": "Sentence 1: Catastrophes make good copy. Sentence 2: She made a copy of the designer dress. Word: copy", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1959": { "input": "Sentence 1: Strike a medal. Sentence 2: She struck her head on the low ceiling. Word: strike", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1960": { "input": "Sentence 1: You need to get permission to leave early. Sentence 2: He got a girl into trouble. Word: get", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1961": { "input": "Sentence 1: A chain of ideas, one leading to the next. Sentence 2: The chain of command. Word: chain", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1962": { "input": "Sentence 1: Could you please scratch my back? Sentence 2: His back was nicely tanned. Word: back", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1963": { "input": "Sentence 1: Please focus on your studies and not on your hobbies. Sentence 2: Focus on passing the test. Word: focus", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1964": { "input": "Sentence 1: Those clouds show little sign of raining soon. Sentence 2: Signs of disease are objective, whereas symptoms are subjective. Word: sign", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1965": { "input": "Sentence 1: We'll have to shift these boxes to the downtown office. Sentence 2: Shift one's attention. Word: shift", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1966": { "input": "Sentence 1: Turn your palm this way. Sentence 2: The company turned a good profit after a year. Word: turn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1967": { "input": "Sentence 1: Make an estimate. Sentence 2: Can you make me an omelette? Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1968": { "input": "Sentence 1: This sofa won't go with the chairs. Sentence 2: We should go farther in this matter. Word: go", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1969": { "input": "Sentence 1: To allow a son to be absent. Sentence 2: Mandela was allowed few visitors in prison. Word: allow", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1970": { "input": "Sentence 1: She didn't get to Chicago until after midnight. Sentence 2: The blow got him in the back. Word: get", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1971": { "input": "Sentence 1: Mouths which speak such foulness must be cleansed. Sentence 2: He understood the foulness of sin. Word: foulness", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1972": { "input": "Sentence 1: Slices of hard-boiled egg on a bed of spinach. Sentence 2: Sea bed. Word: bed", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1973": { "input": "Sentence 1: They stopped at an open space in the jungle. Sentence 2: It all happened in the space of 10 minutes. Word: space", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1974": { "input": "Sentence 1: Rally together against a common enemy. Sentence 2: The enemy attacked at dawn. Word: enemy", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1975": { "input": "Sentence 1: Do nothing. Sentence 2: Will $100 do? Word: do", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1976": { "input": "Sentence 1: Walk down the street. Sentence 2: He lives on Nassau Street. Word: street", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1977": { "input": "Sentence 1: Come this way and I'll show you a shortcut. Sentence 2: He said he was looking for the way out. Word: way", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1978": { "input": "Sentence 1: An achievement that puts everything else in the shade. Sentence 2: His brother's success left him in the shade. Word: shade", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1979": { "input": "Sentence 1: The acquisition of wealth. Sentence 2: The acquisition of sports equipment can be fun in itself. Word: acquisition", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1980": { "input": "Sentence 1: He had a great feeling for music. Sentence 2: The house gave me a feeling of dread. Word: feeling", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1981": { "input": "Sentence 1: Break a branch from a tree. Sentence 2: Twigs break off of those branches easily. Word: break", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1982": { "input": "Sentence 1: We like to summer in the Mediterranean. Sentence 2: My family always summered at the seashore. Word: summer", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1983": { "input": "Sentence 1: The scale of the map. Sentence 2: The scale of the model. Word: scale", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1984": { "input": "Sentence 1: A terrible feeling of ulteriority. Sentence 2: Their conversation was limited to ulteriorities. Word: ulteriority", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1985": { "input": "Sentence 1: Life has lost its point. Sentence 2: Get to the point. Word: point", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1986": { "input": "Sentence 1: Come out of the closet! Sentence 2: He came from France. Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1987": { "input": "Sentence 1: He's a master of the business deal. Sentence 2: We need to finalise the deal with Henderson by midnight. Word: deal", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1988": { "input": "Sentence 1: Red Rum only won by a nose. Sentence 2: My horse lost the race by a nose. Word: nose", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1989": { "input": "Sentence 1: Shed your clothes. Sentence 2: He shed his image as a pushy boss. Word: shed", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1990": { "input": "Sentence 1: After that day she never trusted him again. Sentence 2: I've been here for 2 days and a bit. Word: day", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1991": { "input": "Sentence 1: I could hear the breath of the runner behind me. Sentence 2: The child's breath came quickly and unevenly. Word: breath", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1992": { "input": "Sentence 1: We had to see a psychiatrist. Sentence 2: He saw action in Viet Nam. Word: see", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1993": { "input": "Sentence 1: The plains lay just beyond the mountain range. Sentence 2: The valley was between two ranges of hills. Word: range", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1994": { "input": "Sentence 1: Play cards. Sentence 2: Play games. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "1995": { "input": "Sentence 1: The jar had a wide mouth. Sentence 2: They built a fire at the mouth of the cave. Word: mouth", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1996": { "input": "Sentence 1: Drift the cattle herds westwards. Sentence 2: The laborers drift from one town to the next. Word: drift", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1997": { "input": "Sentence 1: The tires showed uneven wear. Sentence 2: She bought it for everyday wear. Word: wear", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1998": { "input": "Sentence 1: Make merry. Sentence 2: She makes like an actress. Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "1999": { "input": "Sentence 1: The noblemen visited the queen in her court. Sentence 2: The king will visit the duke's court. Word: court", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2000": { "input": "Sentence 1: I ordered two dozen doughnuts. Sentence 2: Pack the shirts in dozens, please. Word: dozen", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2001": { "input": "Sentence 1: I lost my locket in this patch of grass here. Sentence 2: The world economy had a rough patch in the 1930s. Word: patch", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2002": { "input": "Sentence 1: He never left my side. Sentence 2: They always sat on the right side of the church. Word: side", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2003": { "input": "Sentence 1: A drop of each sample was analyzed. Sentence 2: Put three drops of oil into the mixture. Word: drop", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2004": { "input": "Sentence 1: The battalion was a mere skeleton of its former self. Sentence 2: There must be a skeleton somewhere in that family's closet. Word: skeleton", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2005": { "input": "Sentence 1: He does not support his natural children. Sentence 2: The government supports the arts in several ways. Word: support", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2006": { "input": "Sentence 1: The track bed had washed away. Sentence 2: Sea bed, river bed, lake bed. Word: bed", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2007": { "input": "Sentence 1: We know this movie. Sentence 2: This flower is known as a Peruvian Lily. Word: know", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2008": { "input": "Sentence 1: To snap a fastener. Sentence 2: Snap your fingers. Word: snap", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2009": { "input": "Sentence 1: Under the head of minor Roman poets. Sentence 2: They shot 20 head of quail. Word: head", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2010": { "input": "Sentence 1: Mark homework. Sentence 2: This sign marks the border. Word: mark", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2011": { "input": "Sentence 1: She is the personification of optimism. Sentence 2: The Grim Reaper is a personification of death. Word: personification", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2012": { "input": "Sentence 1: Open your mouth and say 'aah', directed the doctor. Sentence 2: He stuffed his mouth with candy. Word: mouth", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2013": { "input": "Sentence 1: Too much rain may blight the garden with mold. Sentence 2: This vine never blights. Word: blight", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2014": { "input": "Sentence 1: The feeling is difficult to describe, but not unpleasant. Sentence 2: Discreet Italian police described it in a manner typically continental. Word: describe", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2015": { "input": "Sentence 1: They paid taxes on every stage of the operation. Sentence 2: A multinational operation. Word: operation", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2016": { "input": "Sentence 1: He cherished the faith of a good woman. Sentence 2: A member of his own faith contradicted him. Word: faith", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2017": { "input": "Sentence 1: You never understand what I mean! Sentence 2: Happiness means everything. Word: mean", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2018": { "input": "Sentence 1: Rub my hands. Sentence 2: I rubbed the cloth over the glass. Word: rub", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2019": { "input": "Sentence 1: He is on the purchasing side of the business. Sentence 2: The patient was bleeding on the right side. Word: side", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2020": { "input": "Sentence 1: Karma's a bitch. Sentence 2: My bitch just had puppies: they're so cute! Word: bitch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2021": { "input": "Sentence 1: Does my policy cover accidental loss? Sentence 2: Cover the meat with a lot of gravy. Word: cover", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2022": { "input": "Sentence 1: He could no longer cope with the complexities of life. Sentence 2: Get a life. Word: life", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2023": { "input": "Sentence 1: Hold your temper. Sentence 2: Hold your tongue. Word: hold", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2024": { "input": "Sentence 1: Leave it as is. Sentence 2: Leave the young fawn alone. Word: leave", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2025": { "input": "Sentence 1: Grate carrots and onions. Sentence 2: Grate nutmeg. Word: grate", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2026": { "input": "Sentence 1: General Smith was placed in command. Sentence 2: An admiral in command. Word: command", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2027": { "input": "Sentence 1: He bet $2 on number six to show. Sentence 2: I showed the customer the glove section. Word: show", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2028": { "input": "Sentence 1: They shot 20 head of quail. Sentence 2: A reduction in the assessment per head of sheep. Word: head", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2029": { "input": "Sentence 1: Come down here! Sentence 2: He came through the door. Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2030": { "input": "Sentence 1: The paint will brighten the room. Sentence 2: She brightened when I changed the subject. Word: brighten", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2031": { "input": "Sentence 1: He had a drop too much to drink. Sentence 2: Put three drops of oil into the mixture. Word: drop", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2032": { "input": "Sentence 1: Come into the room. Sentence 2: Come with me to the Casbah. Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2033": { "input": "Sentence 1: The stick does not bend. Sentence 2: Bend the rod. Word: bend", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2034": { "input": "Sentence 1: The boxer was a magnificent fighting machine. Sentence 2: The war machine. Word: machine", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2035": { "input": "Sentence 1: Stick some feathers in the turkey before you serve it. Sentence 2: Stick around and you will learn something! Word: stick", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2036": { "input": "Sentence 1: I feel that he doesn't like me. Sentence 2: I felt my way cautiously through the dangerous business maneuver. Word: feel", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2037": { "input": "Sentence 1: My neighborhood voted for Bush. Sentence 2: It is a friendly neighborhood. Word: neighborhood", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2038": { "input": "Sentence 1: How should I take this message? Sentence 2: He was often taken to be a man of means. Word: take", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2039": { "input": "Sentence 1: The judge leniently granted a sentence with no hard time. Sentence 2: He is doing time in the county jail. Word: time", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2040": { "input": "Sentence 1: She didn't leave until midnight. Sentence 2: At what time does your train leave? Word: leave", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2041": { "input": "Sentence 1: Work one's muscles. Sentence 2: My personal trainer works me hard. Word: work", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2042": { "input": "Sentence 1: She's got a perfect smile. Sentence 2: He has a sinister smile. Word: smile", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2043": { "input": "Sentence 1: He put all his efforts into this job. Sentence 2: She put too much emphasis on her the last statement. Word: put", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2044": { "input": "Sentence 1: Close up an umbrella. Sentence 2: Her arms closed around her long lost relative. Word: close", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2045": { "input": "Sentence 1: They always sat on the right side of the church. Sentence 2: The Confederate side was prepared to attack. Word: side", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2046": { "input": "Sentence 1: If you were in my place what would you do? Sentence 2: He has a special place in my thoughts. Word: place", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2047": { "input": "Sentence 1: Will online dictionaries ever supplant paper dictionaries? Sentence 2: The computer has supplanted the slide rule. Word: supplant", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2048": { "input": "Sentence 1: We'll get them! Sentence 2: This time I got him. Word: get", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2049": { "input": "Sentence 1: This computer will connect well to the network. Sentence 2: These computers connected well. Word: connect", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2050": { "input": "Sentence 1: A congregation is a vehicle of group identity. Sentence 2: The play was just a vehicle to display her talents. Word: vehicle", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2051": { "input": "Sentence 1: He wants to reconstruct the original text. Sentence 2: They handed out the printed text of the mayor's speech. Word: text", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2052": { "input": "Sentence 1: The table was covered with a film of dust. Sentence 2: The film was shot on location. Word: film", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2053": { "input": "Sentence 1: Place a phone call. Sentence 2: He bet $2 on number six to place. Word: place", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2054": { "input": "Sentence 1: Can you play on this old recorder? Sentence 2: He plays the flute. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2055": { "input": "Sentence 1: The area of a rectangle. Sentence 2: The spacious cooking area provided plenty of room for servants. Word: area", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2056": { "input": "Sentence 1: Remember me in your prayers. Sentence 2: Remember to call your mother every day! Word: remember", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2057": { "input": "Sentence 1: The population of New Jersey will not stand for this! Sentence 2: The African-American population of Salt Lake City has been increasing. Word: population", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2058": { "input": "Sentence 1: The plundering of the Parthenon. Sentence 2: His plundering of the great authors. Word: plundering", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2059": { "input": "Sentence 1: The alchemists sought to transform lead into gold. Sentence 2: She transformed the clay into a beautiful sculpture. Word: transform", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2060": { "input": "Sentence 1: The literacy rate. Sentence 2: The rate of production at the factory is skyrocketing. Word: rate", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2061": { "input": "Sentence 1: An obituary notice. Sentence 2: You didn't give me enough notice. Word: notice", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2062": { "input": "Sentence 1: These bonds carry warrants. Sentence 2: Sound carries well over water. Word: carry", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2063": { "input": "Sentence 1: The hired hand fixed the railing. Sentence 2: A ranch hand. Word: hand", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2064": { "input": "Sentence 1: The throat of a chimney. Sentence 2: The throat of the vase. Word: throat", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2065": { "input": "Sentence 1: It is not known who created this piece. Sentence 2: She played two beautiful pieces on the piano. Word: piece", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2066": { "input": "Sentence 1: Life depends on many chemical and physical processes. Sentence 2: The battery had a short life. Word: life", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2067": { "input": "Sentence 1: Open a window and let in some air. Sentence 2: I need some fresh air. Word: air", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2068": { "input": "Sentence 1: We're adding another wall in this room during the remodeling. Sentence 2: The walls were covered with pictures. Word: wall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2069": { "input": "Sentence 1: A component or constituent element of a system. Sentence 2: The smaller component is hard to reach. Word: component", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2070": { "input": "Sentence 1: We'll have to shift these boxes to the downtown office. Sentence 2: Shift the emphasis. Word: shift", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2071": { "input": "Sentence 1: He built the house on land leased from the city. Sentence 2: An industrialized land. Word: land", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2072": { "input": "Sentence 1: Pipe a tune. Sentence 2: Pipe oil, water, and gas into the desert. Word: pipe", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2073": { "input": "Sentence 1: He celebrated after the sale of company. Sentence 2: The salesman faxed the sales agreement to his home office. Word: sale", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2074": { "input": "Sentence 1: A crop circle was made in a corn field. Sentence 2: There were some cows grazing in a field. Word: field", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2075": { "input": "Sentence 1: The wire has an extension of 50 feet. Sentence 2: Extension of the program to all in need. Word: extension", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2076": { "input": "Sentence 1: Call a football game. Sentence 2: I tried to call you all night. Word: call", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2077": { "input": "Sentence 1: A psychological profile of serial killers. Sentence 2: A biochemical profile of blood. Word: profile", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2078": { "input": "Sentence 1: Do you know the date of the wedding? Sentence 2: I arranged a date with my Australian business partners. Word: date", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2079": { "input": "Sentence 1: Play the stock market. Sentence 2: Play cards. Word: play", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2080": { "input": "Sentence 1: It is part of the fabric of society. Sentence 2: The fabric of the universe. Word: fabric", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2081": { "input": "Sentence 1: He hit the ball to deep center. Sentence 2: His stories made him the center of the party. Word: center", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2082": { "input": "Sentence 1: Pack the books into the boxes. Sentence 2: To pack goods in a box. Word: pack", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2083": { "input": "Sentence 1: He never worked because he inherited a lot of money. Sentence 2: My wife never worked. Word: work", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2084": { "input": "Sentence 1: She got a run in her stocking. Sentence 2: The ship made its run in record time. Word: run", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2085": { "input": "Sentence 1: The house is in order. Sentence 2: IBM received an order for a hundred computers. Word: order", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2086": { "input": "Sentence 1: Please rearrange these files. Sentence 2: Rearrange the furniture in my room. Word: rearrange", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2087": { "input": "Sentence 1: Fly a kite. Sentence 2: Lindbergh was the first to fly the Atlantic. Word: fly", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2088": { "input": "Sentence 1: Draw parallels. Sentence 2: He drew great benefits from his membership in the association. Word: draw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2089": { "input": "Sentence 1: Let's crash the party! Sentence 2: The economy crashed. Word: crash", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2090": { "input": "Sentence 1: I used to take The Sunday Times. Sentence 2: You can't take credit for this! Word: take", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2091": { "input": "Sentence 1: She called it a day and went to bed. Sentence 2: It was a busy day on the stock exchange. Word: day", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2092": { "input": "Sentence 1: Please focus on your studies and not on your hobbies. Sentence 2: We focused on what he wanted. Word: focus", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2093": { "input": "Sentence 1: You can use paper krona (i.e., bills, banknotes). Sentence 2: The book costs five krona. Word: krona", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2094": { "input": "Sentence 1: To fall a tree. Sentence 2: Night fell. Word: fall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2095": { "input": "Sentence 1: She made the boy brush his teeth every night. Sentence 2: Most soldiers are only boys in uniform. Word: boy", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2096": { "input": "Sentence 1: Make the bed. Sentence 2: Make up a room. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2097": { "input": "Sentence 1: The gun was steadied on a special rest. Sentence 2: The ocean was finally at rest. Word: rest", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2098": { "input": "Sentence 1: I shall be writing to you soon. Sentence 2: I am 75 kilograms. Word: be", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2099": { "input": "Sentence 1: The assembly line was on a 12-hour run. Sentence 2: I'm having a run of bad luck. Word: run", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2100": { "input": "Sentence 1: I know it's time. Sentence 2: It is vital that he not know. Word: know", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2101": { "input": "Sentence 1: They are the progressive wing of the Republican Party. Sentence 2: He preferred the drumsticks to the wings. Word: wing", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2102": { "input": "Sentence 1: Head the fish. Sentence 2: This student heads the class. Word: head", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2103": { "input": "Sentence 1: Interest rates run from 5 to 10 percent. Sentence 2: Our coach had us running plays for the whole practice. Word: run", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2104": { "input": "Sentence 1: Purge the water. Sentence 2: Purge your mind. Word: purge", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2105": { "input": "Sentence 1: The glass from the shattered windshield cut into her forehead. Sentence 2: The new tooth is cutting. Word: cut", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2106": { "input": "Sentence 1: Charges of opposite sign. Sentence 2: He posted signs in all the shop windows. Word: sign", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2107": { "input": "Sentence 1: The horse was tough to break. Sentence 2: I broke in the new intern. Word: break", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2108": { "input": "Sentence 1: There is no use for your invention. Sentence 2: He warned against the use of narcotic drugs. Word: use", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2109": { "input": "Sentence 1: There was a grain of truth in what he said. Sentence 2: We stored a thousand tons of grain for the winter. Word: grain", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2110": { "input": "Sentence 1: Where do these books go? Sentence 2: It's your turn; go. Word: go", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2111": { "input": "Sentence 1: A bad reaction to the medicine. Sentence 2: The announcement of the verdict brought a violent reaction. Word: reaction", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2112": { "input": "Sentence 1: Reseat Carnegie Hall. Sentence 2: We should reseat this cinema-the old seats are worn. Word: reseat", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2113": { "input": "Sentence 1: People are dying of starvation all over the world. Sentence 2: All the world loves a lover. Word: world", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2114": { "input": "Sentence 1: The house is in order. Sentence 2: Order ruled in the streets. Word: order", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2115": { "input": "Sentence 1: To blow a horse. Sentence 2: The whales blew. Word: blow", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2116": { "input": "Sentence 1: Fix breakfast for the guests, please. Sentence 2: That'll fix him good! Word: fix", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2117": { "input": "Sentence 1: Turn the clay on the wheel. Sentence 2: Turn the legs of the table. Word: turn", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2118": { "input": "Sentence 1: 10.5 (\"ten point five\"; = ten and a half). Sentence 2: He stuck the point of the knife into a tree. Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2119": { "input": "Sentence 1: Give thought to. Sentence 2: I gave two sons to the war. Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2120": { "input": "Sentence 1: Snap a football. Sentence 2: The lock snapped shut. Word: snap", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2121": { "input": "Sentence 1: Nothing good will come of this. Sentence 2: His breath came hard. Word: come", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2122": { "input": "Sentence 1: Stay alone. Sentence 2: I can only stay for an hour. Word: stay", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2123": { "input": "Sentence 1: Pound the roots with a heavy flat stone. Sentence 2: My heart is pounding. Word: pound", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2124": { "input": "Sentence 1: The rumor had its origin in idle gossip. Sentence 2: Mineral origin. Word: origin", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2125": { "input": "Sentence 1: Rectify a curve. Sentence 2: Rectify alternating current. Word: rectify", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2126": { "input": "Sentence 1: He made it the law of the land. Sentence 2: There's no work on the land any more. Word: land", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2127": { "input": "Sentence 1: You must carry your camping gear. Sentence 2: Sound carries well over water. Word: carry", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2128": { "input": "Sentence 1: An armed guard sat in the box with the driver. Sentence 2: The flowchart contained many boxes. Word: box", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2129": { "input": "Sentence 1: Flatten a road. Sentence 2: Mary would flatten the dough before rolling it into pretzels. Word: flatten", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2130": { "input": "Sentence 1: To approach the city. Sentence 2: Don't approach that house. Word: approach", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2131": { "input": "Sentence 1: Have an assistant. Sentence 2: Have a lover. Word: have", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2132": { "input": "Sentence 1: Par for this course is 72. Sentence 2: On a par with the best. Word: par", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2133": { "input": "Sentence 1: He can hold his liquor. Sentence 2: This theory still holds. Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2134": { "input": "Sentence 1: Develop the rook. Sentence 2: The country developed into a mighty superpower. Word: develop", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2135": { "input": "Sentence 1: The English language. Sentence 2: He didn't have the language to express his feelings. Word: language", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2136": { "input": "Sentence 1: He blamed his slip on the ice. Sentence 2: The jolt caused many slips and a few spills. Word: slip", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2137": { "input": "Sentence 1: A multinational operation. Sentence 2: They had to consolidate their operations. Word: operation", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2138": { "input": "Sentence 1: That store offers a variety of products. Sentence 2: The product of 2 and 3 is 6. Word: product", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2139": { "input": "Sentence 1: The bill shed 50 pages of pork-barrel addons. Sentence 2: Our dog sheds every Spring. Word: shed", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2140": { "input": "Sentence 1: The rate of production at the factory is skyrocketing. Sentence 2: He works at a great rate. Word: rate", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2141": { "input": "Sentence 1: Leave the flowers that you see in the park behind. Sentence 2: Leave it as is. Word: leave", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2142": { "input": "Sentence 1: I've got to go to the head. Sentence 2: This song keeps going through my head. Word: head", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2143": { "input": "Sentence 1: To advance the ripening of fruit. Sentence 2: To advance one's interests. Word: advance", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2144": { "input": "Sentence 1: Pulp fruit. Sentence 2: Pulp wood. Word: pulp", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2145": { "input": "Sentence 1: Turn the dial to 10. Sentence 2: Turn the heat down. Word: turn", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2146": { "input": "Sentence 1: A block of stone. Sentence 2: The pyramids were built with large stone blocks. Word: block", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2147": { "input": "Sentence 1: Business is good today. Sentence 2: Business has been slow lately. Word: business", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2148": { "input": "Sentence 1: Fix a race. Sentence 2: Let's fix the picture to the frame. Word: fix", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2149": { "input": "Sentence 1: A formation of planes. Sentence 2: The formation of sentences. Word: formation", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2150": { "input": "Sentence 1: The two streets connect to become a highway. Sentence 2: My computer connected to his computer. Word: connect", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2151": { "input": "Sentence 1: Twigs break off of those branches easily. Sentence 2: Break a promise. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2152": { "input": "Sentence 1: Go about the world in a certain manner. Sentence 2: His knowledge doesn't go very far. Word: go", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2153": { "input": "Sentence 1: If you cut then I'll deal. Sentence 2: She cut the deck for a long time. Word: cut", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2154": { "input": "Sentence 1: An invasion of bees. Sentence 2: An invasion of mobile phones. Word: invasion", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2155": { "input": "Sentence 1: We can not admit non-members into our club building. Sentence 2: A ticket admits one into a playhouse. Word: admit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2156": { "input": "Sentence 1: Open to attack by the elements. Sentence 2: The film was sensitive to attack by acids. Word: attack", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2157": { "input": "Sentence 1: Please tell me how to do it. Sentence 2: Ellen told Helen about the situation. Word: tell", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2158": { "input": "Sentence 1: Strike a medal. Sentence 2: Strike coins. Word: strike", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2159": { "input": "Sentence 1: She kept a firm hold on the railing. Sentence 2: Keep a firm hold on the handlebars. Word: hold", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2160": { "input": "Sentence 1: I shall be writing to you soon. Sentence 2: He is a herpetologist. Word: be", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2161": { "input": "Sentence 1: I shall be writing to you soon. Sentence 2: This building is three hundred years old. Word: be", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2162": { "input": "Sentence 1: See a movie. Sentence 2: This program will be seen all over the world. Word: see", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2163": { "input": "Sentence 1: The difference in her is amazing. Sentence 2: It just won't make much of a difference to anyone. Word: difference", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2164": { "input": "Sentence 1: Draw a conclusion. Sentence 2: I draw a line here. Word: draw", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2165": { "input": "Sentence 1: The misery and wretchedness of those slums is intolerable. Sentence 2: She was exhausted by her misery and grief. Word: misery", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2166": { "input": "Sentence 1: The patient was bleeding on the right side. Sentence 2: Which side of the tray shall I put it on? Word: side", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2167": { "input": "Sentence 1: Keep food for a week in the pantry. Sentence 2: She never keeps her promises. Word: keep", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2168": { "input": "Sentence 1: Beat one's breast. Sentence 2: This beats me! Word: beat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2169": { "input": "Sentence 1: A thread of smoke climbed upward. Sentence 2: From the air the road was a grey thread. Word: thread", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2170": { "input": "Sentence 1: I could hear the breath of the runner behind me. Sentence 2: He was fighting to his last breath. Word: breath", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2171": { "input": "Sentence 1: The body lay in a pool of blood. Sentence 2: The pools of Solomon. Word: pool", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2172": { "input": "Sentence 1: His love for his work. Sentence 2: So that's fifteen-love to Kournikova. Word: love", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2173": { "input": "Sentence 1: What position does he play? Sentence 2: Stop running all over the field and play your position! Word: position", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2174": { "input": "Sentence 1: Her former friends now avoid her. Sentence 2: I try to avoid the company of gamblers. Word: avoid", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2175": { "input": "Sentence 1: These luxuries all had to go under the Khmer Rouge. Sentence 2: This violinist is as good as Juilliard-trained violinists go. Word: go", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2176": { "input": "Sentence 1: Check the brakes. Sentence 2: Check whether this page has a watermark. Word: check", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2177": { "input": "Sentence 1: Drop me a line when you get there. Sentence 2: They attacked the enemy's line. Word: line", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2178": { "input": "Sentence 1: Answer the door. Sentence 2: She answered the door. Word: answer", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2179": { "input": "Sentence 1: Take a left at the corner. Sentence 2: Jab with your left. Word: left", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2180": { "input": "Sentence 1: The boat beat in the strong wind. Sentence 2: The sun was beating down on us. Word: beat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2181": { "input": "Sentence 1: He is out of action. Sentence 2: The piano had a very stiff action. Word: action", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2182": { "input": "Sentence 1: They are having a clearance sale: 50% off. Sentence 2: I got some great bargains at their annual sale. Word: sale", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2183": { "input": "Sentence 1: Kill a motion. Sentence 2: The farmer killed a pig for the holidays. Word: kill", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2184": { "input": "Sentence 1: A tendency to be too strict. Sentence 2: Denim has a tendency to fade. Word: tendency", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2185": { "input": "Sentence 1: Make love, not war. Sentence 2: Make revolution. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2186": { "input": "Sentence 1: The Academy of Music. Sentence 2: Academies of literature and philology. Word: academy", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2187": { "input": "Sentence 1: It was a case of bad judgment. Sentence 2: A case of the jitters. Word: case", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2188": { "input": "Sentence 1: They attacked the enemy's line. Sentence 2: There is a narrow line between sanity and insanity. Word: line", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2189": { "input": "Sentence 1: She played Chopin for her opener. Sentence 2: The season's opener was a game against the Yankees. Word: opener", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2190": { "input": "Sentence 1: A bark feeder. Sentence 2: A mud feeder. Word: feeder", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2191": { "input": "Sentence 1: Can you advance me some money? Sentence 2: To advance one's interests. Word: advance", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2192": { "input": "Sentence 1: Enter an agreement. Sentence 2: Enter negotiations. Word: enter", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2193": { "input": "Sentence 1: They measured the station's signal strength. Sentence 2: He had the strength of ten men. Word: strength", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2194": { "input": "Sentence 1: My computer is too old to run the new OS. Sentence 2: I will run the sample. Word: run", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2195": { "input": "Sentence 1: She had heard her fill of gossip. Sentence 2: He ate his fill of potatoes. Word: fill", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2196": { "input": "Sentence 1: It worked up to right now. Sentence 2: Now is a good time to do it. Word: now", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2197": { "input": "Sentence 1: An explosion of a low order of magnitude. Sentence 2: It was on the order of a mile. Word: order", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2198": { "input": "Sentence 1: Get a life. Sentence 2: Social life. Word: life", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2199": { "input": "Sentence 1: I want to see results. Sentence 2: You'll see a lot of cheating in this school. Word: see", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2200": { "input": "Sentence 1: The French doors admit onto the yard. Sentence 2: This pipe admits air. Word: admit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2201": { "input": "Sentence 1: Bear news. Sentence 2: Bear a heavy load. Word: bear", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2202": { "input": "Sentence 1: Make a phone call. Sentence 2: Make a move. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2203": { "input": "Sentence 1: Dig the oars into the water. Sentence 2: Dig your foot into the floor. Word: dig", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2204": { "input": "Sentence 1: The room was a mess because he hadn't expected company. Sentence 2: Keep the house clean; I have company coming. Word: company", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2205": { "input": "Sentence 1: Let's go this way for a while. Sentence 2: Her money went on clothes. Word: go", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2206": { "input": "Sentence 1: The clone was a copy of its ancestor. Sentence 2: Please bring me the copies of those reports. Word: copy", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2207": { "input": "Sentence 1: Armored from head to foot. Sentence 2: The swiftest of foot. Word: foot", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2208": { "input": "Sentence 1: The price is in the neighborhood of $100. Sentence 2: He always blames someone else in the immediate neighborhood. Word: neighborhood", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2209": { "input": "Sentence 1: A salamander darted out of an opening in the rocks. Sentence 2: The opening received good critical reviews. Word: opening", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2210": { "input": "Sentence 1: He had to clean up the leak. Sentence 2: A leak in a boat. Word: leak", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2211": { "input": "Sentence 1: I carry her image in my mind's eye. Sentence 2: I carry a lot of life insurance. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2212": { "input": "Sentence 1: He lost his place on the page. Sentence 2: Grosvenor Place. Word: place", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2213": { "input": "Sentence 1: This job doesn't match my dreams. Sentence 2: The company matched the discount policy of its competitors. Word: match", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2214": { "input": "Sentence 1: This nest egg will ensure a nice retirement for us. Sentence 2: The circumstances ensured that he would arrive in time. Word: ensure", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2215": { "input": "Sentence 1: A good review by this critic will make your play! Sentence 2: She married into wealth and so has it made. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2216": { "input": "Sentence 1: Play sports. Sentence 2: We played hockey all afternoon. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2217": { "input": "Sentence 1: He is blind -- he can not see. Sentence 2: I saw their laughing and joking. Word: see", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2218": { "input": "Sentence 1: A lot of people are out of work. Sentence 2: He hasn't come home yet, he's still at work. Word: work", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2219": { "input": "Sentence 1: Rig an election. Sentence 2: Rig prices. Word: rig", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2220": { "input": "Sentence 1: The language introduced is standard throughout the text. Sentence 2: The gift of language. Word: language", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2221": { "input": "Sentence 1: Deal a blow to someone. Sentence 2: I can deal with this crew of workers. Word: deal", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2222": { "input": "Sentence 1: A unit of wheat is a bushel. Sentence 2: The dollar is the United States unit of currency. Word: unit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2223": { "input": "Sentence 1: The sheets feel soft. Sentence 2: He felt the wind. Word: feel", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2224": { "input": "Sentence 1: It was caused by an improbable concatenation of circumstances. Sentence 2: A complicated concatenation of circumstances. Word: concatenation", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2225": { "input": "Sentence 1: Does she pay you for the work you are doing? Sentence 2: He paid off the loan three months early. Word: pay", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2226": { "input": "Sentence 1: I can breathe better when the air is clean. Sentence 2: Paul breathed a deep breath. Word: breathe", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2227": { "input": "Sentence 1: Open the door a crack. Sentence 2: There was a crack in the mirror. Word: crack", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2228": { "input": "Sentence 1: We do business all over the world. Sentence 2: Computers are now widely used in business. Word: business", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2229": { "input": "Sentence 1: Declare dividends. Sentence 2: The President declared war. Word: declare", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2230": { "input": "Sentence 1: Raise my salary. Sentence 2: Raise the question of promotions. Word: raise", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2231": { "input": "Sentence 1: Make one's way into the forest. Sentence 2: Make yourself clear. Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2232": { "input": "Sentence 1: A financial crunch. Sentence 2: An end-of-the year crunch. Word: crunch", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2233": { "input": "Sentence 1: The facts extend beyond a consideration of her personal assets. Sentence 2: She extended her visit by another day. Word: extend", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2234": { "input": "Sentence 1: The drums beat all night. Sentence 2: Beat the rhythm. Word: beat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2235": { "input": "Sentence 1: He was elected to a seat in the Senate. Sentence 2: He dusted off the seat before sitting down. Word: seat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2236": { "input": "Sentence 1: Answer the door. Sentence 2: Nobody answered when I knocked on the door. Word: answer", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2237": { "input": "Sentence 1: She could not cut the long days in the office. Sentence 2: The glass from the shattered windshield cut into her forehead. Word: cut", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2238": { "input": "Sentence 1: Files with a red tab will be stored separately. Sentence 2: The collar has a tab with a button hole. Word: tab", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2239": { "input": "Sentence 1: The cooling touch of the night air. Sentence 2: There was a touch of sarcasm in his tone. Word: touch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2240": { "input": "Sentence 1: I will work hard to improve my grades. Sentence 2: John worked with Paul at finishing the task. Word: work", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2241": { "input": "Sentence 1: The car is so dirty, we need to wash it. Sentence 2: The nurse washed away the blood. Word: wash", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2242": { "input": "Sentence 1: Can you shed light on this problem? Sentence 2: Do you have a light? Word: light", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2243": { "input": "Sentence 1: There were allegations of the withholding of evidence. Sentence 2: I resented his withholding permission. Word: withholding", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2244": { "input": "Sentence 1: Use the plastic bags to store the food. Sentence 2: He doesn't know how to use a computer. Word: use", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2245": { "input": "Sentence 1: Family members had been buried in the vault for centuries. Sentence 2: The bank kept their money safe in a large vault. Word: vault", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2246": { "input": "Sentence 1: He got life for killing the guard. Sentence 2: City life. Word: life", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2247": { "input": "Sentence 1: Strengthen the relations between the two countries. Sentence 2: This exercise will strengthen your upper body. Word: strengthen", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2248": { "input": "Sentence 1: The teaching consists of theory lessons and case studies. Sentence 2: A window case. Word: case", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2249": { "input": "Sentence 1: A growing realization of the risk involved. Sentence 2: The victory was the realization of a whole year's work. Word: realization", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2250": { "input": "Sentence 1: See you another time. Sentence 2: This time he succeeded. Word: time", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2251": { "input": "Sentence 1: To arouse anger. Sentence 2: To arouse compassion. Word: arouse", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2252": { "input": "Sentence 1: He was elected to a seat in the Senate. Sentence 2: The seat of his pants was worn through. Word: seat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2253": { "input": "Sentence 1: Refine paper stock. Sentence 2: Refine pig iron. Word: refine", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2254": { "input": "Sentence 1: He was famous for his facility as an archer. Sentence 2: A cell phone with internet facility. Word: facility", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2255": { "input": "Sentence 1: It was just smoke and mirrors. Sentence 2: He showed batters nothing but smoke. Word: smoke", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2256": { "input": "Sentence 1: To move in a matter. Sentence 2: Move those boxes into the corner, please. Word: move", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2257": { "input": "Sentence 1: He borrowed a large sum. Sentence 2: A tidy sum. Word: sum", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2258": { "input": "Sentence 1: Out of respect for his privacy. Sentence 2: She lost all respect for him. Word: respect", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2259": { "input": "Sentence 1: Gather some stones. Sentence 2: Herman gathered the students together. Word: gather", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2260": { "input": "Sentence 1: I take it you're not going? Sentence 2: He was often taken to be a man of means. Word: take", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2261": { "input": "Sentence 1: Did you catch a cold? Sentence 2: The fashion did not catch. Word: catch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2262": { "input": "Sentence 1: The patient was bleeding on the right side. Sentence 2: He had a pain in his side. Word: side", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2263": { "input": "Sentence 1: He gave it up as a bad job. Sentence 2: She did an outstanding job as Ophelia. Word: job", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2264": { "input": "Sentence 1: Is the direction of the economy a function of government? Sentence 2: I couldn't follow the direction of his thoughts. Word: direction", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2265": { "input": "Sentence 1: Pull a bank robbery. Sentence 2: He regularly pulls 12-hour days, sometimes 14. Word: pull", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2266": { "input": "Sentence 1: Break into tears. Sentence 2: If the vase falls to the floor, it might break. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2267": { "input": "Sentence 1: He wore a condom over his dick. Sentence 2: Sorry, girls, I suck dick. Word: dick", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2268": { "input": "Sentence 1: He managed to wash out the stains. Sentence 2: He washed the dirt from his coat. Word: wash", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2269": { "input": "Sentence 1: There was a dip in the road. Sentence 2: This onion dip is just scrumptious. Word: dip", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2270": { "input": "Sentence 1: A sense of self. Sentence 2: A sense of danger. Word: sense", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2271": { "input": "Sentence 1: We were just waiting for someone to take the lead. Sentence 2: They didn't follow our lead. Word: lead", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2272": { "input": "Sentence 1: He was here for a little while. Sentence 2: He lectured for quite a long while. Word: while", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2273": { "input": "Sentence 1: He has a happy disposition. Sentence 2: I have little disposition now to do as you say. Word: disposition", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2274": { "input": "Sentence 1: Hang a door. Sentence 2: Hang the venison for a few days. Word: hang", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2275": { "input": "Sentence 1: That's three times he's made the same mistake. Sentence 2: This time he succeeded. Word: time", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2276": { "input": "Sentence 1: A girl's education was less important than a boy's. Sentence 2: He received no formal education. Word: education", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2277": { "input": "Sentence 1: The houseguests had to camp in the living room. Sentence 2: Can we go camping again this summer? Word: camp", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2278": { "input": "Sentence 1: She enjoyed her brief taste of independence. Sentence 2: His cold deprived him of his sense of taste. Word: taste", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2279": { "input": "Sentence 1: Will $100 do? Sentence 2: We did 6 miles on our hike every day. Word: do", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2280": { "input": "Sentence 1: The house gave me a feeling of dread. Sentence 2: He had terrible feelings of guilt. Word: feeling", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2281": { "input": "Sentence 1: The dictionary's coverage of standard English is excellent. Sentence 2: There are overlapping coverages on your insurance policies. Word: coverage", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2282": { "input": "Sentence 1: You have to spend money to make money! Sentence 2: He made twenty bucks playing poker last night. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2283": { "input": "Sentence 1: Cut a ticket. Sentence 2: Cut a check. Word: cut", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2284": { "input": "Sentence 1: A body of law. Sentence 2: A body of precedents. Word: body", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2285": { "input": "Sentence 1: Capture the essence of Spring. Sentence 2: She captured all the men's hearts. Word: capture", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2286": { "input": "Sentence 1: Time stops for nobody. Sentence 2: The time of year for planting. Word: time", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2287": { "input": "Sentence 1: Will you trade your precious watch for my earring? Sentence 2: The stock traded around $20 a share. Word: trade", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2288": { "input": "Sentence 1: The slow development of her skill as a writer. Sentence 2: The development of his ideas took many years. Word: development", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2289": { "input": "Sentence 1: Extend the casserole with a little rice. Sentence 2: Extend my greetings. Word: extend", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2290": { "input": "Sentence 1: You really have to empathize. Sentence 2: You've really got to empathize with what they want. Word: empathize", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2291": { "input": "Sentence 1: I can see what will happen. Sentence 2: I can't see him on horseback! Word: see", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2292": { "input": "Sentence 1: She refused to give them her Social Security number. Sentence 2: She preferred the black nylon number. Word: number", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2293": { "input": "Sentence 1: Sugar loaf. Sentence 2: A loaf of cheese. Word: loaf", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2294": { "input": "Sentence 1: The thick branches overhanging the path made progress difficult. Sentence 2: He listened for the progress of the troops. Word: progress", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2295": { "input": "Sentence 1: He grew up in a good Christian home. Sentence 2: There's no place like home. Word: home", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2296": { "input": "Sentence 1: Please reply to my letter. Sentence 2: He replied that he was not sure. Word: reply", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2297": { "input": "Sentence 1: They're just country folk. Sentence 2: Folks around here drink moonshine. Word: folk", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2298": { "input": "Sentence 1: Keep going in the same direction. Sentence 2: He had no direction in his life. Word: direction", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2299": { "input": "Sentence 1: A lot of people are out of work. Sentence 2: He arrived at work early today. Word: work", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2300": { "input": "Sentence 1: Carry the suitcases to the car. Sentence 2: Amanda carried the package from home to New York. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2301": { "input": "Sentence 1: It vanished into the night. Sentence 2: The cat disappeared into the night. Word: night", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2302": { "input": "Sentence 1: He had a kidney transplant. Sentence 2: A child had a multiple organ transplant two months ago. Word: transplant", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2303": { "input": "Sentence 1: They found the body in the lake. Sentence 2: Heavenly body. Word: body", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2304": { "input": "Sentence 1: No one wanted to play end. Sentence 2: They rode to the end of the line. Word: end", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2305": { "input": "Sentence 1: Extend a loan. Sentence 2: The facts extend beyond a consideration of her personal assets. Word: extend", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2306": { "input": "Sentence 1: I'll save you the trouble. Sentence 2: This will save you a lot of time. Word: save", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2307": { "input": "Sentence 1: How fast does your new car go? Sentence 2: The patient went peacefully. Word: go", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2308": { "input": "Sentence 1: This play is going to ruffle some people. Sentence 2: She has a way of ruffling feathers among her colleagues. Word: ruffle", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2309": { "input": "Sentence 1: $50 won't even purchase a dress. Sentence 2: The family purchased a new car. Word: purchase", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2310": { "input": "Sentence 1: They were in the eye of the storm. Sentence 2: Bright lights really hurt my eyes. Word: eye", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2311": { "input": "Sentence 1: This led to an unfortunate chain of events. Sentence 2: The chain of command. Word: chain", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2312": { "input": "Sentence 1: They were sitting by the water's edge. Sentence 2: First you have to cut off the water. Word: water", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2313": { "input": "Sentence 1: Draw a conclusion. Sentence 2: The doctors drew medical supplies from the hospital's emergency bank. Word: draw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2314": { "input": "Sentence 1: I apply this rule to get good results. Sentence 2: Apply for a job. Word: apply", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2315": { "input": "Sentence 1: Can you stand the bookshelf up? Sentence 2: The law stands! Word: stand", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2316": { "input": "Sentence 1: My son went to Berkeley to find himself. Sentence 2: The arrow found its mark. Word: find", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2317": { "input": "Sentence 1: The feeling is difficult to describe, but not unpleasant. Sentence 2: He described going to work. Word: describe", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2318": { "input": "Sentence 1: Iron fillings drawn by the pull of a magnet. Sentence 2: The spaceship came under the pull of the gas giant. Word: pull", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2319": { "input": "Sentence 1: Pull the oars. Sentence 2: Pull the ball. Word: pull", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2320": { "input": "Sentence 1: Education is the door to success. Sentence 2: We closed the door to Haitian immigrants. Word: door", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2321": { "input": "Sentence 1: It was about 500 square feet in area. Sentence 2: The area of a rectangle. Word: area", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2322": { "input": "Sentence 1: He's a meticulous dresser. Sentence 2: She's an elegant dresser. Word: dresser", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2323": { "input": "Sentence 1: Straighten hair. Sentence 2: Straighten this post. Word: straighten", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2324": { "input": "Sentence 1: How it got out is a mystery. Sentence 2: The truth behind the events remains a mystery. Word: mystery", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2325": { "input": "Sentence 1: The dog barked at his own reflection in the mirror. Sentence 2: The pulse is a reflection of the heart's condition. Word: reflection", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2326": { "input": "Sentence 1: The company agrees to meet the cost of any repairs. Sentence 2: Does this paper meet the requirements for the degree? Word: meet", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2327": { "input": "Sentence 1: The French doors admit onto the yard. Sentence 2: A ticket admits one into a playhouse. Word: admit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2328": { "input": "Sentence 1: Put these words to music. Sentence 2: Put money into bonds. Word: put", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2329": { "input": "Sentence 1: Stuff a pillow with feathers. Sentence 2: My nose is all stuffed. Word: stuff", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2330": { "input": "Sentence 1: It was all done in play. Sentence 2: Rain stopped play in the 4th inning. Word: play", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2331": { "input": "Sentence 1: This piano has a wonderful touch. Sentence 2: She likes the touch of silk on her skin. Word: touch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2332": { "input": "Sentence 1: Wharf the passengers. Sentence 2: Wharf the mouth of the river. Word: wharf", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2333": { "input": "Sentence 1: The despite in which outsiders were held is legendary. Sentence 2: She wanted neither favor nor despite. Word: despite", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2334": { "input": "Sentence 1: I always stretch my muscles before exercising. Sentence 2: His mustache stretched all the way to his sideburns. Word: stretch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2335": { "input": "Sentence 1: There is a narrow line between sanity and insanity. Sentence 2: He got out of line. Word: line", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2336": { "input": "Sentence 1: Snap your fingers. Sentence 2: When her baby died, she snapped. Word: snap", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2337": { "input": "Sentence 1: Charge the wagon with hay. Sentence 2: The teacher charged the children to memorize the poem. Word: charge", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2338": { "input": "Sentence 1: Analyze a chemical compound. Sentence 2: Analyze a specimen. Word: analyze", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2339": { "input": "Sentence 1: Cut class. Sentence 2: Cut a caper. Word: cut", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2340": { "input": "Sentence 1: When is your baby due? Sentence 2: The baby of the Supreme Court. Word: baby", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2341": { "input": "Sentence 1: I drive to work every day. Sentence 2: We drove to the university every morning. Word: drive", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2342": { "input": "Sentence 1: The floor of the pelvis. Sentence 2: The floor of the cave. Word: floor", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2343": { "input": "Sentence 1: Who cast this beautiful movie? Sentence 2: Cast a vote. Word: cast", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2344": { "input": "Sentence 1: They accused the paper of biased coverage of race relations. Sentence 2: There are overlapping coverages on your insurance policies. Word: coverage", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2345": { "input": "Sentence 1: The base of the triangle. Sentence 2: The attack wiped out our forward bases. Word: base", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2346": { "input": "Sentence 1: Take the elevator and get off at the promenade level. Sentence 2: What level is the office on? Word: level", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2347": { "input": "Sentence 1: His novels always have a lot of action. Sentence 2: The action of natural forces. Word: action", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2348": { "input": "Sentence 1: Treat an oil spill. Sentence 2: Treat the lawn with chemicals. Word: treat", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2349": { "input": "Sentence 1: She can hold an audience spellbound. Sentence 2: The soprano held the audience. Word: hold", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2350": { "input": "Sentence 1: Here I stand, wondering what to do next. Sentence 2: I am standing my ground and won't give in! Word: stand", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2351": { "input": "Sentence 1: To send a message, or a letter. Sentence 2: Nora sent me the book. Word: send", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2352": { "input": "Sentence 1: Raise a smile. Sentence 2: Raise your 'o'. Word: raise", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2353": { "input": "Sentence 1: I need to charge my car battery. Sentence 2: Don't forget to charge the drill. Word: charge", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2354": { "input": "Sentence 1: The photo is a little dark in that area. Sentence 2: The area of a rectangle. Word: area", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2355": { "input": "Sentence 1: How nice to see you again! Sentence 2: We had to see a psychiatrist. Word: see", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2356": { "input": "Sentence 1: To counterfeit the signature of another, coins, notes, etc. Sentence 2: They counterfeited dollar bills. Word: counterfeit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2357": { "input": "Sentence 1: We have a big barrel to catch the rainwater. Sentence 2: Catch a show on Broadway. Word: catch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2358": { "input": "Sentence 1: The oceans are teeming with life. Sentence 2: Social life. Word: life", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2359": { "input": "Sentence 1: I'll take the blue plates. Sentence 2: Take any one of these cards. Word: take", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2360": { "input": "Sentence 1: She was famous as an interpreter of Shakespearean roles. Sentence 2: His paintings reveal a sensitive interpreter of nature. Word: interpreter", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2361": { "input": "Sentence 1: Throw accusations at someone. Sentence 2: She threw a beautiful teapot. Word: throw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2362": { "input": "Sentence 1: Pull the tab to open the can. Sentence 2: The collar has a tab with a button hole. Word: tab", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2363": { "input": "Sentence 1: Butchers often use machines to mince meat. Sentence 2: Mince the garlic. Word: mince", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2364": { "input": "Sentence 1: The timing and control of his movements were unimpaired. Sentence 2: He had lost control of his sphincters. Word: control", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2365": { "input": "Sentence 1: Origin in sensation. Sentence 2: Vegetable origins. Word: origin", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2366": { "input": "Sentence 1: We had sex in the back seat. Sentence 2: (The believers ... those ...) who abstain from sex. Word: sex", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2367": { "input": "Sentence 1: Cover your head! Sentence 2: The period covered the turn of the century. Word: cover", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2368": { "input": "Sentence 1: Can you connect the two loudspeakers? Sentence 2: Herman connected the computers. Word: connect", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2369": { "input": "Sentence 1: The seat of these trousers is almost worn through. Sentence 2: The seat of his pants was worn through. Word: seat", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2370": { "input": "Sentence 1: The lioness was a mother of four cubs. Sentence 2: Necessity is the mother of invention. Word: mother", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2371": { "input": "Sentence 1: You should consult the dictionary. Sentence 2: Men forgot, or feared, to consult. Word: consult", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2372": { "input": "Sentence 1: He shivered from the cold. Sentence 2: The cold helped clear his head. Word: cold", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2373": { "input": "Sentence 1: The ship made its run in record time. Sentence 2: The bus on the Cherry Street run is always crowded. Word: run", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2374": { "input": "Sentence 1: The appointment had to be approved by the whole committee. Sentence 2: He erred by the appointment of unsuitable men. Word: appointment", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2375": { "input": "Sentence 1: We could always call on a friend. Sentence 2: Call the outcome of an election. Word: call", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2376": { "input": "Sentence 1: Give one's opinion. Sentence 2: Give an excuse. Word: give", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2377": { "input": "Sentence 1: Raise hell. Sentence 2: Raise the roof. Word: raise", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2378": { "input": "Sentence 1: Give me a hand with the chores. Sentence 2: He kept trying to see my hand. Word: hand", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2379": { "input": "Sentence 1: Play a hooked fish. Sentence 2: He played $20 on the new horse. Word: play", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2380": { "input": "Sentence 1: Cover the grave with flowers. Sentence 2: Cover her face with a handkerchief. Word: cover", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2381": { "input": "Sentence 1: He stepped into the light. Sentence 2: Hey, buddy, you got a light? Word: light", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2382": { "input": "Sentence 1: Did you catch a cold? Sentence 2: I caught some Z's on the train. Word: catch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2383": { "input": "Sentence 1: View a show on television. Sentence 2: View an exhibition. Word: view", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2384": { "input": "Sentence 1: What do you get when you add up these numbers? Sentence 2: I got a computer from my parents for my birthday. Word: get", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2385": { "input": "Sentence 1: Go about the world in a certain manner. Sentence 2: Messages must go through diplomatic channels. Word: go", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2386": { "input": "Sentence 1: The story is false, so far as I can discover. Sentence 2: I discovered the fleece. Word: discover", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2387": { "input": "Sentence 1: He hit a home run. Sentence 2: The movie hits theaters in December. Word: hit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2388": { "input": "Sentence 1: Where do you keep your gardening tools? Sentence 2: These potatoes keep for a long time. Word: keep", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2389": { "input": "Sentence 1: Coordinate our efforts. Sentence 2: Coordinate his actions with that of his colleagues. Word: coordinate", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2390": { "input": "Sentence 1: The pull of the moon. Sentence 2: The pull of the current. Word: pull", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2391": { "input": "Sentence 1: Gather the close family members. Sentence 2: Be careful not to stretch or gather your knitting. Word: gather", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2392": { "input": "Sentence 1: He had to appear in court last month. Sentence 2: A ship appeared. Word: appear", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2393": { "input": "Sentence 1: The boys were playing kickball in the mud. Sentence 2: She made the boy brush his teeth every night. Word: boy", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2394": { "input": "Sentence 1: The meaning of life. Sentence 2: What is the meaning of this sentence. Word: meaning", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2395": { "input": "Sentence 1: Has a happy lot. Sentence 2: Lots of people think so. Word: lot", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2396": { "input": "Sentence 1: Their assumption of his guilt disqualified them from jury duty. Sentence 2: Any society is built upon certain assumptions. Word: assumption", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2397": { "input": "Sentence 1: Negotiations ran into a brick wall. Sentence 2: A wall of smoke. Word: wall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2398": { "input": "Sentence 1: He drew a heart and called it a valentine. Sentence 2: He had a change of heart. Word: heart", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2399": { "input": "Sentence 1: One swallow does not a summer make. Sentence 2: This makes the third infraction. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2400": { "input": "Sentence 1: The rear part of the house. Sentence 2: Glue the two parts together. Word: part", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2401": { "input": "Sentence 1: The containment of the rebellion. Sentence 2: The containment of the AIDS epidemic. Word: containment", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2402": { "input": "Sentence 1: Only the top side of the box was painted. Sentence 2: Put your books on top of the desk. Word: top", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2403": { "input": "Sentence 1: The children were playing house. Sentence 2: She felt she had to get out of the house. Word: house", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2404": { "input": "Sentence 1: Check the spelling of this word. Sentence 2: Check your luggage before boarding. Word: check", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2405": { "input": "Sentence 1: What will you give her for her birthday? Sentence 2: He gives of his energies to the organization. Word: give", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2406": { "input": "Sentence 1: The thrust of the jet engines. Sentence 2: He made a thrusting motion with his fist. Word: thrust", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2407": { "input": "Sentence 1: The washing machine won't go unless it's plugged in. Sentence 2: The day went well until I got your call. Word: go", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2408": { "input": "Sentence 1: The improbability of such rare coincidences. Sentence 2: Impossibility should never be confused with improbability. Word: improbability", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2409": { "input": "Sentence 1: The whole room was cheering. Sentence 2: The room was on its feet. Word: room", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2410": { "input": "Sentence 1: I shall be writing to you soon. Sentence 2: I have been to Spain many times. Word: be", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2411": { "input": "Sentence 1: Poison the atmosphere in the office. Sentence 2: Poison someone's mind. Word: poison", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2412": { "input": "Sentence 1: Do you take me for a fool? Sentence 2: I take it you're not going? Word: take", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2413": { "input": "Sentence 1: Please focus on your studies and not on your hobbies. Sentence 2: We focused on what to do. Word: focus", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2414": { "input": "Sentence 1: Fire a bullet. Sentence 2: Fire a gun. Word: fire", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2415": { "input": "Sentence 1: Would you please cut the cake? Sentence 2: This knife cuts well. Word: cut", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2416": { "input": "Sentence 1: Give a course. Sentence 2: What will you give her for her birthday? Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2417": { "input": "Sentence 1: It's been an age since we last saw you. Sentence 2: It was replaced because of its age. Word: age", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2418": { "input": "Sentence 1: A cartilaginous style. Sentence 2: The anal styles of insects. Word: style", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2419": { "input": "Sentence 1: I'll post the news on the bulletin board. Sentence 2: Post a sentinel in front of the door. Word: post", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2420": { "input": "Sentence 1: Roll your hair around your finger. Sentence 2: The President's convoy rolled past the crowds. Word: roll", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2421": { "input": "Sentence 1: His sour breath offended her. Sentence 2: The child's breath came quickly and unevenly. Word: breath", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2422": { "input": "Sentence 1: They come from a faraway land. Sentence 2: He returned to the land of his birth. Word: land", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2423": { "input": "Sentence 1: The beer had a large head of foam. Sentence 2: Admission is three dollars a head. Word: head", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2424": { "input": "Sentence 1: Melons come from a vine. Sentence 2: Understanding comes from experience. Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2425": { "input": "Sentence 1: Don't go outside wearing just a t-shirt; you'll freeze! Sentence 2: The water in the bowl froze. Word: freeze", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2426": { "input": "Sentence 1: We're adding another wall in this room during the remodeling. Sentence 2: Stomach walls. Word: wall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2427": { "input": "Sentence 1: Every dog has his day. Sentence 2: My day began early this morning. Word: day", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2428": { "input": "Sentence 1: The sale will run for ten days. Sentence 2: The meeting ran late. Word: run", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2429": { "input": "Sentence 1: The enemy offered little resistance. Sentence 2: The resistance of bacteria to certain antibiotics. Word: resistance", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2430": { "input": "Sentence 1: Pay a debt. Sentence 2: He was allowed to go as soon as he paid. Word: pay", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2431": { "input": "Sentence 1: To wander over the fields. Sentence 2: Might her husband be wandering? Word: wander", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2432": { "input": "Sentence 1: He volunteered to taste her latest concoction. Sentence 2: His testimony was a concoction. Word: concoction", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2433": { "input": "Sentence 1: They climbed the north face of the mountain. Sentence 2: The face of the city is changing. Word: face", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2434": { "input": "Sentence 1: (The believers ... those ...) who abstain from sex. Sentence 2: All you ever think about is sex. Word: sex", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2435": { "input": "Sentence 1: The emerging buds were a sure sign of spring. Sentence 2: Spring is the time of the year most species reproduce. Word: spring", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2436": { "input": "Sentence 1: Call a football game. Sentence 2: Bluejays called to one another. Word: call", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2437": { "input": "Sentence 1: Fall prey to an imposter. Sentence 2: She fell ill. Word: fall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2438": { "input": "Sentence 1: Can I buy you a drink? Sentence 2: I asked for a hot drink. Word: drink", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2439": { "input": "Sentence 1: Please follow the guide through the museum. Sentence 2: She followed a guru for years. Word: follow", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2440": { "input": "Sentence 1: Ceramic can be used to insulate power lines. Sentence 2: We had his bedroom insulated before winter came. Word: insulate", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2441": { "input": "Sentence 1: I know Latin. Sentence 2: Adam knew Eve. Word: know", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2442": { "input": "Sentence 1: He got out of line. Sentence 2: Toe the line. Word: line", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2443": { "input": "Sentence 1: His voice had an edge to it. Sentence 2: She sat on the edge of the bed. Word: edge", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2444": { "input": "Sentence 1: The piano had a very stiff action. Sentence 2: Recent federal action undermined the segregationist position. Word: action", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2445": { "input": "Sentence 1: Can I give you the children for the weekend? Sentence 2: Give a yelp. Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2446": { "input": "Sentence 1: Raise Cain. Sentence 2: Raise the roof. Word: raise", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2447": { "input": "Sentence 1: You need to get permission to leave early. Sentence 2: He got 5 years in prison. Word: get", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2448": { "input": "Sentence 1: Tip the screen upward. Sentence 2: Tip artichokes. Word: tip", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2449": { "input": "Sentence 1: The time of year for planting. Sentence 2: He waited a long time. Word: time", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2450": { "input": "Sentence 1: The renowned director could translate experience to film with ease. Sentence 2: Braque translated collage into oil. Word: translate", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2451": { "input": "Sentence 1: Drive the forest. Sentence 2: She is driving away at her doctoral thesis. Word: drive", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2452": { "input": "Sentence 1: Does your husband know how to cook? Sentence 2: She knows how to knit. Word: know", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2453": { "input": "Sentence 1: Throw the car into reverse. Sentence 2: She threw a beautiful teapot. Word: throw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2454": { "input": "Sentence 1: The flock of birds took to the air. Sentence 2: A smell of chemicals in the air. Word: air", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2455": { "input": "Sentence 1: She has a lot of class. Sentence 2: The class of all sets is not a set. Word: class", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2456": { "input": "Sentence 1: The offensive linemen tried to block the blitz. Sentence 2: He blocked the basketball player's shot. Word: block", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2457": { "input": "Sentence 1: He occupied a post in the treasury. Sentence 2: Parcel post. Word: post", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2458": { "input": "Sentence 1: The temperature could hit 110 F tomorrow. Sentence 2: The thermometer hit 100 degrees. Word: hit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2459": { "input": "Sentence 1: The judge tried both father and son in separate trials. Sentence 2: The judge pronounced often before, but never so widely press-attended. Word: judge", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2460": { "input": "Sentence 1: She has a feel for music. Sentence 2: He has a feel for animals. Word: feel", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2461": { "input": "Sentence 1: The child's breath came quickly and unevenly. Sentence 2: He took a deep breath and dived into the pool. Word: breath", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2462": { "input": "Sentence 1: How much does this savings certificate pay annually? Sentence 2: To pay attention. Word: pay", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2463": { "input": "Sentence 1: She will field questions immediately after her presentation. Sentence 2: The lawyer fielded all questions from the press. Word: field", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2464": { "input": "Sentence 1: Pull a bank robbery. Sentence 2: The car pulls to the right. Word: pull", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2465": { "input": "Sentence 1: Her fringe is so long it covers her eyes. Sentence 2: Interference fringe. Word: fringe", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2466": { "input": "Sentence 1: A good ear for pitch. Sentence 2: He had a keen ear. Word: ear", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2467": { "input": "Sentence 1: Slices of hard-boiled egg on a bed of spinach. Sentence 2: Lake bed. Word: bed", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2468": { "input": "Sentence 1: He examined the child's head for vermin. Sentence 2: Bring these gypsy vermin to the Palace of Justice. Word: vermin", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2469": { "input": "Sentence 1: Armored from head to foot. Sentence 2: Curled up on the foot of the bed. Word: foot", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2470": { "input": "Sentence 1: I have two years left. Sentence 2: He had an insulin shock after eating three candy bars. Word: have", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2471": { "input": "Sentence 1: What do you get when you add up these numbers? Sentence 2: My children finally got me to buy a computer. Word: get", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2472": { "input": "Sentence 1: This table would serve very well. Sentence 2: The tree stump serves as a table. Word: serve", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2473": { "input": "Sentence 1: The face of the city is changing. Sentence 2: He managed to show a bold face despite his embarrassment. Word: face", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2474": { "input": "Sentence 1: A mountain pass. Sentence 2: We got through the pass before it started to snow. Word: pass", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2475": { "input": "Sentence 1: Life has lost its point. Sentence 2: He broke the point of his pencil. Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2476": { "input": "Sentence 1: The system consists of a motor and a small computer. Sentence 2: He bought a new stereo system. Word: system", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2477": { "input": "Sentence 1: He felt as if his whole body were on fire. Sentence 2: All bodies are held together by internal forces. Word: body", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2478": { "input": "Sentence 1: To admit a serious thought into the mind. Sentence 2: This pipe admits air. Word: admit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2479": { "input": "Sentence 1: Work the raisins into the dough. Sentence 2: Do you want to work after the age of 60? Word: work", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2480": { "input": "Sentence 1: I'm afflicted by worry throughout the night. Sentence 2: It is not work but worry that kills. Word: worry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2481": { "input": "Sentence 1: I'll store these books in the attic. Sentence 2: Store grain for the winter. Word: store", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2482": { "input": "Sentence 1: Such odd-shaped items do not pack well. Sentence 2: This singer always packs the concert halls. Word: pack", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2483": { "input": "Sentence 1: Her former friends now avoid her. Sentence 2: He avoided his nagging. Word: avoid", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2484": { "input": "Sentence 1: He's always stuffing his gob with fast food. Sentence 2: Oi, you, shut your gob! Word: gob", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2485": { "input": "Sentence 1: Potatoes bake to a crisp. Sentence 2: Bake the potatoes. Word: bake", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2486": { "input": "Sentence 1: Drift the cattle herds westwards. Sentence 2: The balloon was drifting in the breeze. Word: drift", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2487": { "input": "Sentence 1: I'll take three salmon steaks. Sentence 2: We are taking an orphan from Romania. Word: take", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2488": { "input": "Sentence 1: The unlawful restraint of trade. Sentence 2: Restraints imposed on imports. Word: restraint", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2489": { "input": "Sentence 1: Leave the flowers that you see in the park behind. Sentence 2: The fugitive has left the country. Word: leave", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2490": { "input": "Sentence 1: Has a large repertory of dialects and characters. Sentence 2: The repertory of the supposed feats of mesmerism. Word: repertory", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2491": { "input": "Sentence 1: The houseguests had to camp in the living room. Sentence 2: We camped there. Word: camp", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2492": { "input": "Sentence 1: Clean grain before milling it. Sentence 2: Clean the spots off the rug. Word: clean", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2493": { "input": "Sentence 1: Develop a market for the new mobile phone. Sentence 2: Well developed breasts. Word: develop", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2494": { "input": "Sentence 1: Common sense is not so common. Sentence 2: Fortunately she had the good sense to run away. Word: sense", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2495": { "input": "Sentence 1: How much do you charge for lunch? Sentence 2: The speaker charged up the crowd with his inflammatory remarks. Word: charge", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2496": { "input": "Sentence 1: It brought the scandal to light. Sentence 2: Put that light out! Word: light", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2497": { "input": "Sentence 1: A deal of trouble. Sentence 2: He rose to prominence through a series of shady deals. Word: deal", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2498": { "input": "Sentence 1: A good shot requires good balance and tempo. Sentence 2: He left me an almost impossible shot. Word: shot", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2499": { "input": "Sentence 1: Stick the photo onto the corkboard. Sentence 2: Stick some feathers in the turkey before you serve it. Word: stick", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2500": { "input": "Sentence 1: We breakfast at seven. Sentence 2: Cynthia breakfasted on peaches. Word: breakfast", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2501": { "input": "Sentence 1: Does my policy cover accidental loss? Sentence 2: The female covers the eggs. Word: cover", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2502": { "input": "Sentence 1: Earthquakes originate far below the surface. Sentence 2: Three quarters of the Earth's surface is covered by water. Word: surface", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2503": { "input": "Sentence 1: A leak in a gas pipe. Sentence 2: He had to clean up the leak. Word: leak", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2504": { "input": "Sentence 1: A keen musical sense. Sentence 2: In the best sense charity is really a duty. Word: sense", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2505": { "input": "Sentence 1: I shall be writing to you soon. Sentence 2: She is our resident philosopher. Word: be", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2506": { "input": "Sentence 1: Raise a smile. Sentence 2: Raise your hands. Word: raise", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2507": { "input": "Sentence 1: A patch of clouds. Sentence 2: Patches of thin ice. Word: patch", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2508": { "input": "Sentence 1: We can not trust anyone who deceives us. Sentence 2: We can trust in God. Word: trust", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2509": { "input": "Sentence 1: He slammed the door as he left. Sentence 2: He knocked on the door. Word: door", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2510": { "input": "Sentence 1: \"Can he reach?\" \"The chair must not touch the wall.\" Sentence 2: The local Mafia won't touch gambling. Word: touch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2511": { "input": "Sentence 1: Which horse are you backing in this race? Sentence 2: Back this enterprise. Word: back", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2512": { "input": "Sentence 1: His victory is a certainty. Sentence 2: His certainty reassured the others. Word: certainty", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2513": { "input": "Sentence 1: What do whales eat? Sentence 2: This dog doesn't eat certain kinds of meat. Word: eat", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2514": { "input": "Sentence 1: He reserved a large block of seats. Sentence 2: He held a large block of the company's stock. Word: block", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2515": { "input": "Sentence 1: Dog is a hyponym of animal. Sentence 2: British is a hyponym of European. Word: hyponym", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2516": { "input": "Sentence 1: I fail to understand your motives. Sentence 2: A number of banks failed that year. Word: fail", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2517": { "input": "Sentence 1: Recuperate one's losses. Sentence 2: The patient is recuperating. Word: recuperate", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2518": { "input": "Sentence 1: Raise a mutiny. Sentence 2: Raise a family. Word: raise", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2519": { "input": "Sentence 1: From noon till night. Sentence 2: The cat disappeared into the night. Word: night", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2520": { "input": "Sentence 1: He's a master of the business deal. Sentence 2: It was a package deal. Word: deal", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2521": { "input": "Sentence 1: Dig salt. Sentence 2: Dig coal. Word: dig", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2522": { "input": "Sentence 1: At what time does your train leave? Sentence 2: His good luck finally left him. Word: leave", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2523": { "input": "Sentence 1: The trunk was full of stuff. Sentence 2: Wheat is the stuff they use to make bread. Word: stuff", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2524": { "input": "Sentence 1: Put down 5 and carry 2. Sentence 2: This paper carries a restaurant review. Word: carry", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2525": { "input": "Sentence 1: I feel that we need to try harder. Sentence 2: It feels nice to be home again. Word: feel", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2526": { "input": "Sentence 1: He was arrested on a charge of larceny. Sentence 2: The charges against the estate. Word: charge", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2527": { "input": "Sentence 1: Women carrying home shopping didn't give me a second glance. Sentence 2: On Saturdays we usually do the shopping. Word: shopping", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2528": { "input": "Sentence 1: The grandfather clock beat midnight. Sentence 2: Beat one's breast. Word: beat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2529": { "input": "Sentence 1: Which side of the tray shall I put it on? Sentence 2: He is on the purchasing side of the business. Word: side", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2530": { "input": "Sentence 1: He has a hold over them. Sentence 2: He ordered a hold in the action. Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2531": { "input": "Sentence 1: Shift the emphasis. Sentence 2: Shift one's attention. Word: shift", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2532": { "input": "Sentence 1: We had to cut short the conversation. Sentence 2: This bread cuts easily. Word: cut", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2533": { "input": "Sentence 1: This computer will connect well to the network. Sentence 2: Our computers connected together. Word: connect", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2534": { "input": "Sentence 1: He was a member of a special police unit. Sentence 2: The reduced the number of units and installations. Word: unit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2535": { "input": "Sentence 1: The swiftest of foot. Sentence 2: He followed on foot. Word: foot", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2536": { "input": "Sentence 1: He failed to get the Black vote. Sentence 2: American women got the vote in 1920. Word: vote", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2537": { "input": "Sentence 1: Draw a card. Sentence 2: To draw a memorial, a deed, or bill of exchange. Word: draw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2538": { "input": "Sentence 1: I shall be writing to you soon. Sentence 2: Ignorance is bliss. Word: be", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2539": { "input": "Sentence 1: Cover the grave with flowers. Sentence 2: She covered herself with glory. Word: cover", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2540": { "input": "Sentence 1: The Holocaust was insanity on an enormous scale. Sentence 2: The scale of the model. Word: scale", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2541": { "input": "Sentence 1: I can't use this tool. Sentence 2: He doesn't know how to use a computer. Word: use", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2542": { "input": "Sentence 1: It was stuff I had heard before. Sentence 2: What is all that stuff on your bedroom floor? Word: stuff", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2543": { "input": "Sentence 1: His claim on her attentions. Sentence 2: Evidence contradicted the government's claims. Word: claim", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2544": { "input": "Sentence 1: She didn't leave until midnight. Sentence 2: The president's remarks left us speechless. Word: leave", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2545": { "input": "Sentence 1: It all happened in the space of 10 minutes. Sentence 2: The architect left space in front of the building. Word: space", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2546": { "input": "Sentence 1: Play sports. Sentence 2: Play with her feelings. Word: play", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2547": { "input": "Sentence 1: The French doors give onto a terrace. Sentence 2: The wall gave in. Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2548": { "input": "Sentence 1: Could you develop the ideas in your thesis. Sentence 2: The patient developed abdominal pains. Word: develop", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2549": { "input": "Sentence 1: They polled their membership. Sentence 2: He has memberships in clubs in three cities. Word: membership", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2550": { "input": "Sentence 1: A notice of sale. Sentence 2: An obituary notice. Word: notice", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2551": { "input": "Sentence 1: The death of my grandmother saddened the whole family. Sentence 2: Her death came as a terrible shock. Word: death", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2552": { "input": "Sentence 1: The bedrooms open into the hall. Sentence 2: He opened the meeting with a long speech. Word: open", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2553": { "input": "Sentence 1: We hope you never have to suffer the same pain. Sentence 2: Many saints suffered martyrdom. Word: suffer", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2554": { "input": "Sentence 1: He opened the window a crack. Sentence 2: I'd like to take a crack at that game. Word: crack", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2555": { "input": "Sentence 1: They sat by the fire and talked. Sentence 2: He went through fire and damnation. Word: fire", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2556": { "input": "Sentence 1: He ducked under the nose of the gun. Sentence 2: He has a cold in the nose. Word: nose", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2557": { "input": "Sentence 1: What was the date of submission of your proposal? Sentence 2: His submission to the will of God. Word: submission", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2558": { "input": "Sentence 1: Keep notes. Sentence 2: Keep open the possibility of a merger. Word: keep", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2559": { "input": "Sentence 1: \"Can he reach?\" \"The chair must not touch the wall.\" Sentence 2: Their hands touched. Word: touch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2560": { "input": "Sentence 1: Convert all the measurements to metric units. Sentence 2: It is easier to work in metric. Word: metric", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2561": { "input": "Sentence 1: He offered a persuasive defense of the theory. Sentence 2: The defense called for a mistrial. Word: defense", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2562": { "input": "Sentence 1: Prepare a speech. Sentence 2: The prince was prepared to become King one day. Word: prepare", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2563": { "input": "Sentence 1: Run a risk. Sentence 2: Run a temperature. Word: run", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2564": { "input": "Sentence 1: He could not touch the meaning of the poem. Sentence 2: Touch the stone for good luck. Word: touch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2565": { "input": "Sentence 1: I have to catch a train at 7 o'clock. Sentence 2: Catch one's breath. Word: catch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2566": { "input": "Sentence 1: He doesn't care about how / whether she comes. Sentence 2: I really care about my work. Word: care", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2567": { "input": "Sentence 1: Don't behave like a fool. Sentence 2: The children must learn to behave. Word: behave", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2568": { "input": "Sentence 1: The wine has a nutty flavor and a pleasant finish. Sentence 2: Excitement grew as the finish neared. Word: finish", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2569": { "input": "Sentence 1: The plane's operation in high winds. Sentence 2: A multinational operation. Word: operation", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2570": { "input": "Sentence 1: Prepare a report. Sentence 2: The prince was prepared to become King one day. Word: prepare", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2571": { "input": "Sentence 1: A figure of $17 was suggested. Sentence 2: The area covered can be seen from Figure 2. Word: figure", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2572": { "input": "Sentence 1: What do we have here? Sentence 2: Have, throw, or make a party. Word: have", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2573": { "input": "Sentence 1: He had a pain in his side. Sentence 2: The Confederate side was prepared to attack. Word: side", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2574": { "input": "Sentence 1: A sense of happiness. Sentence 2: A sense of security. Word: sense", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2575": { "input": "Sentence 1: A beggar's masquerade of wealth. Sentence 2: I was invited to the masquerade at their home. Word: masquerade", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2576": { "input": "Sentence 1: Why the sad face? Sentence 2: He washed his face. Word: face", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2577": { "input": "Sentence 1: The patient was bleeding on the right side. Sentence 2: Look on the bright side. Word: side", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2578": { "input": "Sentence 1: Cigarettes kill. Sentence 2: Drunken driving kills. Word: kill", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2579": { "input": "Sentence 1: It started to dawn, and we had to get up. Sentence 2: The age of computers had dawned. Word: dawn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2580": { "input": "Sentence 1: Extend the loan. Sentence 2: The war extended over five years. Word: extend", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2581": { "input": "Sentence 1: I will work hard to improve my grades. Sentence 2: He's working in a bar. Word: work", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2582": { "input": "Sentence 1: The patient must drink several liters each day. Sentence 2: He drank out of the goblet. Word: drink", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2583": { "input": "Sentence 1: I used to play with trucks as a little girl. Sentence 2: They played long and hard. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2584": { "input": "Sentence 1: That's three times he's made the same mistake. Sentence 2: It is time to go. Word: time", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2585": { "input": "Sentence 1: He used a piece of tape for a belt. Sentence 2: He wrapped a tape around the package. Word: tape", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2586": { "input": "Sentence 1: Can you play on this old recorder? Sentence 2: Play fair. Word: play", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2587": { "input": "Sentence 1: This computer will connect well to the network. Sentence 2: These computers connected well together. Word: connect", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2588": { "input": "Sentence 1: We love to ski the Rockies. Sentence 2: My children don't ski. Word: ski", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2589": { "input": "Sentence 1: She got a run in her stocking. Sentence 2: I have a run in my stocking. Word: run", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2590": { "input": "Sentence 1: The line stretched clear around the corner. Sentence 2: A dedicated line. Word: line", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2591": { "input": "Sentence 1: Catch one's breath. Sentence 2: The fire caught. Word: catch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2592": { "input": "Sentence 1: The horse will run the Preakness next year. Sentence 2: I'm not ready to run a marathon. Word: run", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2593": { "input": "Sentence 1: He placed a phone call to London. Sentence 2: I received several calls today. Word: call", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2594": { "input": "Sentence 1: There was a certain woodenness in his replies. Sentence 2: He criticized the woodenness of the acting. Word: woodenness", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2595": { "input": "Sentence 1: In the year 1920. Sentence 2: I was born in the year 1950. Word: year", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2596": { "input": "Sentence 1: Make a mistake. Sentence 2: This invention will make you a millionaire. Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2597": { "input": "Sentence 1: He didn't make the choir after his voice changed. Sentence 2: They hope to make a bigger profit. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2598": { "input": "Sentence 1: How much furniture did they leave behind? Sentence 2: They had too much furniture for the small apartment. Word: furniture", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2599": { "input": "Sentence 1: A nice line of shoes. Sentence 2: They were arrayed in line of battle. Word: line", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2600": { "input": "Sentence 1: Give an excuse. Sentence 2: The roof finally gave under the weight of the ice. Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2601": { "input": "Sentence 1: God's grace is manifested in the salvation of sinners. Sentence 2: There but for the grace of God go I. Word: grace", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2602": { "input": "Sentence 1: Guard against infection. Sentence 2: Guard against becoming too friendly with the staff. Word: guard", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2603": { "input": "Sentence 1: Hold your tongue. Sentence 2: About a dozen animals were held inside the stockade. Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2604": { "input": "Sentence 1: Baby rabbits. Sentence 2: When is your baby due? Word: baby", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2605": { "input": "Sentence 1: This dough does not work easily. Sentence 2: Work the raisins into the dough. Word: work", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2606": { "input": "Sentence 1: Grade A milk. Sentence 2: He got a good grade on the test. Word: grade", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2607": { "input": "Sentence 1: Treat the lawn with chemicals. Sentence 2: Don't worry about the expensive wine -- I'm treating. Word: treat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2608": { "input": "Sentence 1: It brought the scandal to light. Sentence 2: He could paint the lightest light and the darkest dark. Word: light", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2609": { "input": "Sentence 1: Introduce a rule. Sentence 2: Introduce exotic fruits. Word: introduce", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2610": { "input": "Sentence 1: He was in the employ of the city. Sentence 2: The school district has six thousand teachers in its employ. Word: employ", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2611": { "input": "Sentence 1: We must strike the enemy's oil fields. Sentence 2: The ship struck a reef. Word: strike", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2612": { "input": "Sentence 1: She can hold an audience spellbound. Sentence 2: Hold your breath. Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2613": { "input": "Sentence 1: A training session. Sentence 2: A gossip session. Word: session", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2614": { "input": "Sentence 1: The court is now in session. Sentence 2: The noblemen visited the queen in her court. Word: court", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2615": { "input": "Sentence 1: Blow on the soup to cool it down. Sentence 2: The fuse blew. Word: blow", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2616": { "input": "Sentence 1: Draw a weapon. Sentence 2: The President's comments drew sharp criticism from the Republicans. Word: draw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2617": { "input": "Sentence 1: These bonds carry warrants. Sentence 2: We carry a very large mortgage. Word: carry", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2618": { "input": "Sentence 1: His claim to the property has come under question. Sentence 2: The question of seniority will be discussed at the meeting. Word: question", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2619": { "input": "Sentence 1: To render Latin into English. Sentence 2: Render the town to the enemy. Word: render", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2620": { "input": "Sentence 1: What makes her do this way? Sentence 2: Do my room in blue. Word: do", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2621": { "input": "Sentence 1: Hold a reception. Sentence 2: The canteen holds fresh water. Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2622": { "input": "Sentence 1: Play games. Sentence 2: Pele played for the Brazilian teams in many important matches. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2623": { "input": "Sentence 1: They served beer on draft. Sentence 2: His first drafts were better than most authors' final products. Word: draft", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2624": { "input": "Sentence 1: He placed a phone call to London. Sentence 2: I received several phone calls today. Word: call", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2625": { "input": "Sentence 1: I can not bear his constant criticism. Sentence 2: He bore himself with dignity. Word: bear", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2626": { "input": "Sentence 1: Run a new program on the Mac. Sentence 2: I will run the sample. Word: run", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2627": { "input": "Sentence 1: Likes a drink before dinner. Sentence 2: Can I buy you a drink? Word: drink", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2628": { "input": "Sentence 1: I can not keep track of all my employees. Sentence 2: I keep my specimens under glass to protect them. Word: keep", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2629": { "input": "Sentence 1: They admired his performance under stress. Sentence 2: They listened to ten different performances. Word: performance", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2630": { "input": "Sentence 1: The film is set in Africa. Sentence 2: Set the tray down. Word: set", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2631": { "input": "Sentence 1: She didn't touch her food all night. Sentence 2: The two buildings touch. Word: touch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2632": { "input": "Sentence 1: The strong man could turn an iron bar. Sentence 2: Turn the earth in the Spring. Word: turn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2633": { "input": "Sentence 1: Coordinate his actions with that of his colleagues. Sentence 2: Coordinate the painters, masons, and plumbers. Word: coordinate", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2634": { "input": "Sentence 1: To admit a serious thought into the mind. Sentence 2: A ticket admits one into a playhouse. Word: admit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2635": { "input": "Sentence 1: These stories don't check! Sentence 2: She checked for an instant and missed a step. Word: check", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2636": { "input": "Sentence 1: I will run the sample. Sentence 2: Don't run that software unless you have permission. Word: run", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2637": { "input": "Sentence 1: Many sunken ships rest on the ocean floor. Sentence 2: The floor of the pelvis. Word: floor", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2638": { "input": "Sentence 1: I'll give you three books for four CDs. Sentence 2: Give thought to. Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2639": { "input": "Sentence 1: In the common interest. Sentence 2: An interest in music. Word: interest", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2640": { "input": "Sentence 1: My cold is gone -- I feel fine today. Sentence 2: She felt tired after the long hike. Word: feel", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2641": { "input": "Sentence 1: After that day she never trusted him again. Sentence 2: Those were the days. Word: day", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2642": { "input": "Sentence 1: These bonds carry warrants. Sentence 2: All major networks carried the press conference. Word: carry", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2643": { "input": "Sentence 1: How many books did Georges Simenon write? Sentence 2: Please write to me every week. Word: write", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2644": { "input": "Sentence 1: Find the product of two numbers. Sentence 2: Water is found to be a compound substance. Word: find", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2645": { "input": "Sentence 1: Don't fight it! Sentence 2: He fought for breath. Word: fight", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2646": { "input": "Sentence 1: The Union action of emancipating Southern slaves. Sentence 2: Recent federal action undermined the segregationist position. Word: action", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2647": { "input": "Sentence 1: Convert lead into gold. Sentence 2: He converted his garden into a tennis court. Word: convert", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2648": { "input": "Sentence 1: I don't like the look of the new design. Sentence 2: She got her mother's looks. Word: look", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2649": { "input": "Sentence 1: He played with his rubber ball in the bathtub. Sentence 2: He threw nine straight balls before the manager yanked him. Word: ball", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2650": { "input": "Sentence 1: Dew dripped from the face of the leaf. Sentence 2: He looked out at a roomful of faces. Word: face", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2651": { "input": "Sentence 1: He visited during my absence. Sentence 2: Absence makes the heart grow fonder. Word: absence", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2652": { "input": "Sentence 1: The battery had a short life. Sentence 2: While there's life there's hope. Word: life", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2653": { "input": "Sentence 1: Do you want to work after the age of 60? Sentence 2: She never worked because she inherited a lot of money. Word: work", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2654": { "input": "Sentence 1: To raise your walking stick to defend yourself. Sentence 2: Raise a shout. Word: raise", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2655": { "input": "Sentence 1: He had a drop too much to drink. Sentence 2: A drop of 57 points on the Dow Jones index. Word: drop", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2656": { "input": "Sentence 1: What is the point of discussing it? Sentence 2: He stuck the point of the knife into a tree. Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2657": { "input": "Sentence 1: They climbed the north face of the mountain. Sentence 2: Why the sad face? Word: face", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2658": { "input": "Sentence 1: Drive a car or bus. Sentence 2: She drives for the taxi company in Newark. Word: drive", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2659": { "input": "Sentence 1: She may not make the grade. Sentence 2: I make the height about 100 feet. Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2660": { "input": "Sentence 1: You really have to empathize. Sentence 2: You really have to empathize with them. Word: empathize", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2661": { "input": "Sentence 1: I can see a risk in this strategy. Sentence 2: I can't see him on horseback! Word: see", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2662": { "input": "Sentence 1: I have two sisters. Sentence 2: Have another bowl of chicken soup! Word: have", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2663": { "input": "Sentence 1: The saw buckled when it hit a knot. Sentence 2: A small knot of women listened to his sermon. Word: knot", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2664": { "input": "Sentence 1: A four-month stay in bankruptcy court. Sentence 2: They had a nice stay in Paris. Word: stay", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2665": { "input": "Sentence 1: Close up an umbrella. Sentence 2: They closed the deal on the building. Word: close", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2666": { "input": "Sentence 1: Develop a market for the new mobile phone. Sentence 2: We must develop more potential customers. Word: develop", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2667": { "input": "Sentence 1: Leave the young fawn alone. Sentence 2: Leave the flowers that you see in the park behind. Word: leave", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2668": { "input": "Sentence 1: The cooling touch of the night air. Sentence 2: This piano has a wonderful touch. Word: touch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2669": { "input": "Sentence 1: There will be a charge of five dollars. Sentence 2: The admission charge. Word: charge", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2670": { "input": "Sentence 1: Fall into a trap. Sentence 2: The estate fell to the oldest daughter. Word: fall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2671": { "input": "Sentence 1: Exercise gave him a good stomach for dinner. Sentence 2: A good stomach for roast beef. Word: stomach", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2672": { "input": "Sentence 1: He got out of line. Sentence 2: He drew a line on the chart. Word: line", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2673": { "input": "Sentence 1: He cast a spell to cure warts. Sentence 2: He whispered a spell as he moved his hands. Word: spell", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2674": { "input": "Sentence 1: Beat the cream. Sentence 2: Beat the egg whites. Word: beat", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2675": { "input": "Sentence 1: Check into the rumor. Sentence 2: He checked my kings. Word: check", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2676": { "input": "Sentence 1: He's come a long way. Sentence 2: Which letter comes before Y? Word: come", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2677": { "input": "Sentence 1: Answer the telephone. Sentence 2: Nobody answered when I knocked on the door. Word: answer", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2678": { "input": "Sentence 1: He walked to the front of the stage. Sentence 2: He led the national liberation front. Word: front", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2679": { "input": "Sentence 1: We simply could not start the engine. Sentence 2: The rain started at 9:00. Word: start", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2680": { "input": "Sentence 1: The song of the wind. Sentence 2: Thomas listened to his favorite song on the radio yesterday. Word: song", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2681": { "input": "Sentence 1: Run amok. Sentence 2: He is running the Marathon this year. Word: run", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2682": { "input": "Sentence 1: To snap a whip. Sentence 2: The pipe snapped. Word: snap", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2683": { "input": "Sentence 1: In the year 1920. Sentence 2: She is 4 years old. Word: year", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2684": { "input": "Sentence 1: This may land you in jail. Sentence 2: Use the net to land the fish. Word: land", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2685": { "input": "Sentence 1: To fall a tree. Sentence 2: He fell to his knees. Word: fall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2686": { "input": "Sentence 1: To fall off a point. Sentence 2: They sailed south around the point. Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2687": { "input": "Sentence 1: Turn the corner. Sentence 2: The water turned into ice. Word: turn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2688": { "input": "Sentence 1: He dropped the logs on the ground. Sentence 2: They gained ground step by step. Word: ground", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2689": { "input": "Sentence 1: She tends to make a big production out of nothing. Sentence 2: They hope to increase spaghetti production next year. Word: production", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2690": { "input": "Sentence 1: To stay a flat sheet in a steam boiler. Sentence 2: The judge stayed the execution order. Word: stay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2691": { "input": "Sentence 1: How did your interview go? Sentence 2: How fast does your new car go? Word: go", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2692": { "input": "Sentence 1: The present ministry of the Holy Spirit. Sentence 2: He is studying for the ministry. Word: ministry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2693": { "input": "Sentence 1: Stir the soil. Sentence 2: Stir emotions. Word: stir", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2694": { "input": "Sentence 1: Build a reputation. Sentence 2: Build detergents. Word: build", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2695": { "input": "Sentence 1: The emission of heat from a fire. Sentence 2: The emission of light from the sun. Word: emission", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2696": { "input": "Sentence 1: I back you all the way. Sentence 2: Back this enterprise. Word: back", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2697": { "input": "Sentence 1: The world's foremost authority on orangutans. Sentence 2: Tennessee Valley Authority. Word: authority", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2698": { "input": "Sentence 1: A litany of failures. Sentence 2: The patient recited a litany of complaints. Word: litany", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2699": { "input": "Sentence 1: She had a feeling of euphoria. Sentence 2: The house gave me a feeling of dread. Word: feeling", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2700": { "input": "Sentence 1: He was hospitalized for extreme fatigue. Sentence 2: He was suffering from museum fatigue. Word: fatigue", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2701": { "input": "Sentence 1: They proposed a new direction for the firm. Sentence 2: He checked the direction and velocity of the wind. Word: direction", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2702": { "input": "Sentence 1: I apply this rule to get good results. Sentence 2: This thinking was applied to many projects. Word: apply", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2703": { "input": "Sentence 1: Enter a drug treatment program. Sentence 2: Enter negotiations. Word: enter", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2704": { "input": "Sentence 1: Fall into a strange way of thinking. Sentence 2: She fell ill. Word: fall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2705": { "input": "Sentence 1: Truck fresh vegetables across the mountains. Sentence 2: Amanda trucked the package from Philadelphia to her mother's house. Word: truck", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2706": { "input": "Sentence 1: This box won't take all the items. Sentence 2: She took a chill. Word: take", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2707": { "input": "Sentence 1: The second movement is slow and melodic. Sentence 2: A broad movement of the electorate to the right. Word: movement", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2708": { "input": "Sentence 1: To toy with a piece of food on one's plate. Sentence 2: Toy with an idea. Word: toy", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2709": { "input": "Sentence 1: The thread wouldn't go through the eye. Sentence 2: They were in the eye of the storm. Word: eye", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2710": { "input": "Sentence 1: Come on guys, let's move: there's work to do! Sentence 2: The horse moves a carriage. Word: move", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2711": { "input": "Sentence 1: I try to avoid the company of gamblers. Sentence 2: We avoided the ball. Word: avoid", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2712": { "input": "Sentence 1: Will you pay cash or charge the purchase? Sentence 2: How much do you charge for lunch? Word: charge", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2713": { "input": "Sentence 1: He used pliers to work the wire into shape. Sentence 2: The salesman works the Midwest. Word: work", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2714": { "input": "Sentence 1: The foot of the list. Sentence 2: Curled up on the foot of the bed. Word: foot", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2715": { "input": "Sentence 1: 200 head of cattle. Sentence 2: This song keeps going through my head. Word: head", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2716": { "input": "Sentence 1: His body was in rebellion against fatigue. Sentence 2: Each generation must have its own rebellion. Word: rebellion", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2717": { "input": "Sentence 1: Let's gather in the dining room. Sentence 2: Gather some stones. Word: gather", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2718": { "input": "Sentence 1: Mount an attack. Sentence 2: Mount a play. Word: mount", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2719": { "input": "Sentence 1: To lay a tax on land. Sentence 2: This hen doesn't lay. Word: lay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2720": { "input": "Sentence 1: The motor was out of commission. Sentence 2: Put the ships into commission. Word: commission", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2721": { "input": "Sentence 1: The salesman's call on a customer. Sentence 2: That sound is the distinctive call of the cuckoo bird. Word: call", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2722": { "input": "Sentence 1: He condemned religious sectarianism. Sentence 2: They were discussing sectarianism between Shias and Sunnis. Word: sectarianism", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2723": { "input": "Sentence 1: We visited a farm where they raise chickens. Sentence 2: To raise somebody to office. Word: raise", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2724": { "input": "Sentence 1: We must follow closely the economic development is Cuba. Sentence 2: A terrible tsunami followed the earthquake. Word: follow", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2725": { "input": "Sentence 1: Can we finance the addition to our home? Sentence 2: His parents financed his college education. Word: finance", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2726": { "input": "Sentence 1: She may not make the grade. Sentence 2: Make a stir. Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2727": { "input": "Sentence 1: I wouldn't touch her with a ten-foot pole. Sentence 2: She never touched her husband. Word: touch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2728": { "input": "Sentence 1: A set of golf clubs. Sentence 2: A set of books. Word: set", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2729": { "input": "Sentence 1: Receive payment. Sentence 2: Receive a gift. Word: receive", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2730": { "input": "Sentence 1: He has an artist's eye. Sentence 2: She has an eye for fresh talent. Word: eye", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2731": { "input": "Sentence 1: The lawyer questioned the truth of my account. Sentence 2: Truth to one's own feelings is all-important in life. Word: truth", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2732": { "input": "Sentence 1: The baby was a boy. Sentence 2: Steve is a boy of 16. Word: boy", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2733": { "input": "Sentence 1: The French doors admit onto the yard. Sentence 2: He admitted his errors. Word: admit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2734": { "input": "Sentence 1: Book fair. Sentence 2: World fair. Word: fair", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2735": { "input": "Sentence 1: The child won everyone's heart. Sentence 2: He stood still, his heart thumping wildly. Word: heart", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2736": { "input": "Sentence 1: Back into the driveway. Sentence 2: The wind backed. Word: back", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2737": { "input": "Sentence 1: It all happened in the space of 10 minutes. Sentence 2: They tested his ability to locate objects in space. Word: space", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2738": { "input": "Sentence 1: This violinist is as good as Juilliard-trained violinists go. Sentence 2: How fast does your new car go? Word: go", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2739": { "input": "Sentence 1: Can the child dress by herself? Sentence 2: Marlene dressed the baby. Word: dress", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2740": { "input": "Sentence 1: A lazy bum. Sentence 2: That guy keeps interrupting the concert. Throw the bum out! Word: bum", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2741": { "input": "Sentence 1: Please, help! Sentence 2: Can you help me carry this table? Word: help", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2742": { "input": "Sentence 1: A round of pleasures. Sentence 2: The story is going the rounds in Washington. Word: round", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2743": { "input": "Sentence 1: $50 won't even purchase a dress. Sentence 2: Carmen purchased a dress for $50. Word: purchase", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2744": { "input": "Sentence 1: We could always call on a friend. Sentence 2: He called me a bastard. Word: call", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2745": { "input": "Sentence 1: We'll get them! Sentence 2: Get me those books over there, please. Word: get", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2746": { "input": "Sentence 1: Dogs should be kept under restraint. Sentence 2: Legal restraints. Word: restraint", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2747": { "input": "Sentence 1: The course of the river. Sentence 2: The government took a firm course. Word: course", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2748": { "input": "Sentence 1: A set of golf clubs. Sentence 2: He gave a final set to his hat. Word: set", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2749": { "input": "Sentence 1: A nice line of shoes. Sentence 2: Toe the line. Word: line", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2750": { "input": "Sentence 1: Pat and Leslie's marriage to each other lasted forty years. Sentence 2: You should enter marriage for love. Word: marriage", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2751": { "input": "Sentence 1: They hope to make a bigger profit. Sentence 2: She made ten points in that game. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2752": { "input": "Sentence 1: They serve a restricted role on the bench. Sentence 2: She served in Congress for two terms. Word: serve", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2753": { "input": "Sentence 1: He bought his brother's business. Sentence 2: A small mom-and-pop business. Word: business", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2754": { "input": "Sentence 1: He wants to reconstruct the original text. Sentence 2: There were more than a thousand words of text. Word: text", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2755": { "input": "Sentence 1: Roughcast a wall. Sentence 2: To roughcast a wall or building. Word: roughcast", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2756": { "input": "Sentence 1: Fall asleep. Sentence 2: She fell ill. Word: fall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2757": { "input": "Sentence 1: He tried to catch her eye. Sentence 2: The thread wouldn't go through the eye. Word: eye", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2758": { "input": "Sentence 1: Restore law and order. Sentence 2: Restore the stolen painting to its rightful owner. Word: restore", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2759": { "input": "Sentence 1: We had to stand for the entire performance! Sentence 2: On the pedestal stood a statue. Word: stand", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2760": { "input": "Sentence 1: All you ever think about is sex. Sentence 2: They had sex in the back seat. Word: sex", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2761": { "input": "Sentence 1: Refine oil. Sentence 2: Refine paper stock. Word: refine", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2762": { "input": "Sentence 1: The film is set in Africa. Sentence 2: Set up an experiment. Word: set", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2763": { "input": "Sentence 1: Trade fair. Sentence 2: Book fair. Word: fair", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2764": { "input": "Sentence 1: Come out of the closet! Sentence 2: Come with me to the Casbah. Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2765": { "input": "Sentence 1: The institution of slavery. Sentence 2: The institution of marriage. Word: institution", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2766": { "input": "Sentence 1: The so-called glorious experiment came to an inglorious end. Sentence 2: The end was exciting. Word: end", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2767": { "input": "Sentence 1: Ready, set, go! Sentence 2: I went on holiday and got malaria. Word: go", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2768": { "input": "Sentence 1: Spokes radiate from the hub of the wheel. Sentence 2: The heat radiates from a stove. Word: radiate", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2769": { "input": "Sentence 1: Have a feeling. Sentence 2: What do we have here? Word: have", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2770": { "input": "Sentence 1: I can not find my gloves! Sentence 2: Did you find your glasses? Word: find", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2771": { "input": "Sentence 1: A master of the violin. Sentence 2: One of the old masters. Word: master", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2772": { "input": "Sentence 1: He is remembered for his generosity and civilization. Sentence 2: Early Mayan civilization. Word: civilization", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2773": { "input": "Sentence 1: The spaceship came under the pull of the gas giant. Sentence 2: The pull of the current. Word: pull", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2774": { "input": "Sentence 1: The edge of the leaf is wavy. Sentence 2: The water's edge. Word: edge", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2775": { "input": "Sentence 1: Give him a hand. Sentence 2: Her hands are really strong. Word: hand", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2776": { "input": "Sentence 1: The fire spared the forest floor. Sentence 2: The room has a wooden floor. Word: floor", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2777": { "input": "Sentence 1: I could feel the runner's breath on my shoulder. Sentence 2: His sour breath offended her. Word: breath", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2778": { "input": "Sentence 1: Respect my authority! Sentence 2: She spoke with authority. Word: authority", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2779": { "input": "Sentence 1: A force out was recorded on the scorecard. Sentence 2: Force equals mass times acceleration. Word: force", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2780": { "input": "Sentence 1: The class of 1982 was particularly noteworthy. Sentence 2: Early morning classes are always sleepy. Word: class", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2781": { "input": "Sentence 1: Stream of consciousness. Sentence 2: A stream of people emptied from the terminal. Word: stream", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2782": { "input": "Sentence 1: Can I keep my old stuffed animals? Sentence 2: I can not keep track of all my employees. Word: keep", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2783": { "input": "Sentence 1: The face of this company. Sentence 2: Why the sad face? Word: face", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2784": { "input": "Sentence 1: She cut the deck for a long time. Sentence 2: Cut a disk. Word: cut", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2785": { "input": "Sentence 1: I know it's time. Sentence 2: He knows about 19th century politics. Word: know", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2786": { "input": "Sentence 1: I suspect he is a fugitive. Sentence 2: To suspect the presence of disease. Word: suspect", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2787": { "input": "Sentence 1: Raise a shout. Sentence 2: Raise a sad cry. Word: raise", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2788": { "input": "Sentence 1: I still owe for the car. Sentence 2: She owes me $200. Word: owe", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2789": { "input": "Sentence 1: To step to one of the neighbors. Sentence 2: Step off ten yards. Word: step", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2790": { "input": "Sentence 1: Paul made a cheerful laugh. Sentence 2: Paul laughed at Mary. Word: laugh", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2791": { "input": "Sentence 1: Drive a car or bus. Sentence 2: She finally drove him to change jobs. Word: drive", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2792": { "input": "Sentence 1: I can't use this tool. Sentence 2: We can use this mathematical formula to solve the problem. Word: use", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2793": { "input": "Sentence 1: I could see the roof of the bear's mouth. Sentence 2: The roof of the cave was very high. Word: roof", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2794": { "input": "Sentence 1: We must acknowledge the kindness she showed towards us. Sentence 2: * They his gifts acknowledged none. -- John Milton. Word: acknowledge", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2795": { "input": "Sentence 1: Would you please cut the cake? Sentence 2: Cut a hole. Word: cut", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2796": { "input": "Sentence 1: To add numbers. Sentence 2: This paper will add to her reputation. Word: add", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2797": { "input": "Sentence 1: Answer the telephone. Sentence 2: She answered the door. Word: answer", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2798": { "input": "Sentence 1: Had difficulty walking. Sentence 2: Finished the test only with great difficulty. Word: difficulty", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2799": { "input": "Sentence 1: Come out of the closet! Sentence 2: He came singing down the road. Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2800": { "input": "Sentence 1: Remember me in your prayers. Sentence 2: He remembered her in his will. Word: remember", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2801": { "input": "Sentence 1: She brings a wealth of knowledge to the project. Sentence 2: Great wealth is not a sign of great intelligence. Word: wealth", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2802": { "input": "Sentence 1: IBM received an order for a hundred computers. Sentence 2: The machine is now in working order. Word: order", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2803": { "input": "Sentence 1: A briar patch. Sentence 2: A patch of clouds. Word: patch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2804": { "input": "Sentence 1: How does this song go again? Sentence 2: These ugly billboards have to go! Word: go", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2805": { "input": "Sentence 1: Turn a key. Sentence 2: Turn the clay on the wheel. Word: turn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2806": { "input": "Sentence 1: Snap your fingers. Sentence 2: Bullets snapped past us. Word: snap", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2807": { "input": "Sentence 1: He was a great actor in his time. Sentence 2: The time of year for planting. Word: time", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2808": { "input": "Sentence 1: Make a wall of stones. Sentence 2: Make a cake. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2809": { "input": "Sentence 1: We had to dress quickly. Sentence 2: Dress the patient. Word: dress", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2810": { "input": "Sentence 1: He went out to have a look. Sentence 2: His camera does his looking for him. Word: look", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2811": { "input": "Sentence 1: To say the same thing in other terms. Sentence 2: How can you say such a thing? Word: thing", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2812": { "input": "Sentence 1: Shake the salt out of the salt shaker. Sentence 2: I couldn't shake the car that was following me. Word: shake", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2813": { "input": "Sentence 1: The annual report has been my baby since September. Sentence 2: When is your baby due? Word: baby", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2814": { "input": "Sentence 1: The people concerned have a deficit in verbal memory. Sentence 2: They have serious linguistic deficits. Word: deficit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2815": { "input": "Sentence 1: The alchemists sought to transform lead into gold. Sentence 2: This experience transformed her completely. Word: transform", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2816": { "input": "Sentence 1: Charm is his most endearing property. Sentence 2: A study of the physical properties of atomic particles. Word: property", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2817": { "input": "Sentence 1: Take sick. Sentence 2: I estimate the trip will take about ten minutes. Word: take", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2818": { "input": "Sentence 1: Confidence is always borrowed, never owned. Sentence 2: Everyone trusted him with their confidences. Word: confidence", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2819": { "input": "Sentence 1: Toe the line. Sentence 2: They attacked the enemy's line. Word: line", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2820": { "input": "Sentence 1: It is time to go. Sentence 2: At what times do the trains arrive? Word: time", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2821": { "input": "Sentence 1: He threw a rock at me. Sentence 2: Some fool has thrown a rock through my window. Word: rock", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2822": { "input": "Sentence 1: Take time to smell the roses. Sentence 2: I didn't have time to finish. Word: time", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2823": { "input": "Sentence 1: Please tell me how to do it. Sentence 2: I tell you that man is a crook! Word: tell", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2824": { "input": "Sentence 1: I didn't hold a good hand all evening. Sentence 2: Objections were voiced on every hand. Word: hand", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2825": { "input": "Sentence 1: Those clouds show little sign of raining soon. Sentence 2: He showed signs of strain. Word: sign", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2826": { "input": "Sentence 1: We were just waiting for someone to take the lead. Sentence 2: He takes the lead in any group. Word: lead", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2827": { "input": "Sentence 1: The insurance won't cover this. Sentence 2: He covered left field. Word: cover", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2828": { "input": "Sentence 1: Roll a cigarette. Sentence 2: They rolled from town to town. Word: roll", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2829": { "input": "Sentence 1: The car's finish was so shiny and new. Sentence 2: The boat had a metallic finish. Word: finish", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2830": { "input": "Sentence 1: Hold these truths to be self-evident. Sentence 2: I'll hold you by your promise. Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2831": { "input": "Sentence 1: Shoot craps. Sentence 2: Shoot a movie. Word: shoot", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2832": { "input": "Sentence 1: Did you catch that allusion? Sentence 2: I have to catch a train at 7 o'clock. Word: catch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2833": { "input": "Sentence 1: The baby was a boy. Sentence 2: Most soldiers are only boys in uniform. Word: boy", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2834": { "input": "Sentence 1: Please strike this remark from the record. Sentence 2: Strike a pose. Word: strike", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2835": { "input": "Sentence 1: Approach a new project. Sentence 2: Approach a task. Word: approach", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2836": { "input": "Sentence 1: A stretch of clear water. Sentence 2: He did a stretch in the federal penitentiary. Word: stretch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2837": { "input": "Sentence 1: Raise a shout. Sentence 2: Raise a protest. Word: raise", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2838": { "input": "Sentence 1: Strike a balance. Sentence 2: Strike a bargain. Word: strike", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2839": { "input": "Sentence 1: Work stone into tools. Sentence 2: How does your idea work in practice? Word: work", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2840": { "input": "Sentence 1: His absence is the hinge of our plan. Sentence 2: This argument was the hinge on which the question turned. Word: hinge", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2841": { "input": "Sentence 1: Use your common sense. Sentence 2: I can't use this tool. Word: use", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2842": { "input": "Sentence 1: Come out of the closet! Sentence 2: The bill came to $2,000. Word: come", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2843": { "input": "Sentence 1: A grain of salt. Sentence 2: A grain of sand. Word: grain", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2844": { "input": "Sentence 1: To drive sheep out of a field. Sentence 2: Drive the cows into the barn. Word: drive", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2845": { "input": "Sentence 1: Such odd-shaped items do not pack well. Sentence 2: She packs a gun when she goes into the mountains. Word: pack", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2846": { "input": "Sentence 1: Block an attack. Sentence 2: Block the book cover. Word: block", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2847": { "input": "Sentence 1: Does this paper meet the requirements for the degree? Sentence 2: This proposal meets my requirements. Word: meet", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2848": { "input": "Sentence 1: The newspaper is featuring a competition to win a car. Sentence 2: Business competition can be fiendish at times. Word: competition", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2849": { "input": "Sentence 1: To allow a servant his liberty. Sentence 2: Mandela was allowed few visitors in prison. Word: allow", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2850": { "input": "Sentence 1: Grāmata maksā piecas kronas -- the book costs five krona. Sentence 2: Piecas kronas -- five krona. Word: krona", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2851": { "input": "Sentence 1: They got an early start. Sentence 2: The movie was entertaining from start to finish. Word: start", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2852": { "input": "Sentence 1: Can you see the bird in that tree? Sentence 2: I saw their laughing and joking. Word: see", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2853": { "input": "Sentence 1: Potato peeler. Sentence 2: She invented a potato peeler. Word: peeler", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2854": { "input": "Sentence 1: A chain of mountains. Sentence 2: This led to an unfortunate chain of events. Word: chain", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2855": { "input": "Sentence 1: I try to avoid the company of gamblers. Sentence 2: We avoided the area. Word: avoid", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2856": { "input": "Sentence 1: I work at night and sleep during the day. Sentence 2: The dawn turned night into day. Word: day", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2857": { "input": "Sentence 1: Break cigarette smoking. Sentence 2: He slipped on the ice and broke his leg. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2858": { "input": "Sentence 1: The judge leniently granted a sentence with no hard time. Sentence 2: He had a time holding back the tears. Word: time", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2859": { "input": "Sentence 1: The cup of her bra. Sentence 2: Bees filled the waxen cups with honey. Word: cup", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2860": { "input": "Sentence 1: To raise a wall, or a heap of stones. Sentence 2: Raise a family. Word: raise", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2861": { "input": "Sentence 1: I can count my colleagues in the opposition. Sentence 2: Each answer counts as three points. Word: count", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2862": { "input": "Sentence 1: Drop a hint. Sentence 2: The light dropped from the ceiling. Word: drop", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2863": { "input": "Sentence 1: Follow the trail. Sentence 2: Follow a pattern. Word: follow", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2864": { "input": "Sentence 1: Water is the element of fishes. Sentence 2: In your element. Word: element", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2865": { "input": "Sentence 1: Brigitte Bardot was a renowned beauty. Sentence 2: His roses were beauties. Word: beauty", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2866": { "input": "Sentence 1: His state of health. Sentence 2: In a weak financial state. Word: state", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2867": { "input": "Sentence 1: She had a habit twirling the ends of her hair. Sentence 2: A shrub of spreading habit. Word: habit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2868": { "input": "Sentence 1: He managed it on a shoestring. Sentence 2: He did all that on a shoestring budget. Word: shoestring", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2869": { "input": "Sentence 1: Can you give me lessons? Sentence 2: I gave my coat to the beggar. Word: give", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2870": { "input": "Sentence 1: I was hoping for a yes. Sentence 2: Was that a yes? Word: yes", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2871": { "input": "Sentence 1: Can you follow her argument? Sentence 2: A terrible tsunami followed the earthquake. Word: follow", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2872": { "input": "Sentence 1: Don't bother bringing equipment, as we will provide it. Sentence 2: This procedure provides for lots of leeway. Word: provide", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2873": { "input": "Sentence 1: The course was less than a mile. Sentence 2: He took a course in basket weaving. Word: course", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2874": { "input": "Sentence 1: I can not bear his constant criticism. Sentence 2: She is bearing his child. Word: bear", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2875": { "input": "Sentence 1: Shorts that ride up. Sentence 2: Ship rides at anchor. Word: ride", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2876": { "input": "Sentence 1: We drive the turnpike to work. Sentence 2: The amplifier drives the tube. Word: drive", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2877": { "input": "Sentence 1: Drive a golf ball. Sentence 2: He drives a bread truck. Word: drive", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2878": { "input": "Sentence 1: Make way for. Sentence 2: Didn't know the way home. Word: way", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2879": { "input": "Sentence 1: Now I see! Sentence 2: I want to see whether she speaks French. Word: see", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2880": { "input": "Sentence 1: We should make Cincinnati by 7 tonight. Sentence 2: We barely made it to the finish line. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2881": { "input": "Sentence 1: Leach the soil. Sentence 2: The fertilizer leached into the ground. Word: leach", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2882": { "input": "Sentence 1: Crime doesn't pay. Sentence 2: It pays to go through the trouble. Word: pay", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2883": { "input": "Sentence 1: Your choice of colors was unfortunate. Sentence 2: The ice cream sundae is a popular choice for dessert. Word: choice", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2884": { "input": "Sentence 1: I want to see whether she speaks French. Sentence 2: I went to see my friend Mary the other day. Word: see", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2885": { "input": "Sentence 1: Break into tears. Sentence 2: The blade broke her skin. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2886": { "input": "Sentence 1: One foot of the chair was on the carpet. Sentence 2: Armored from head to foot. Word: foot", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2887": { "input": "Sentence 1: The alchemists tried to turn lead into gold. Sentence 2: Turn the heat down. Word: turn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2888": { "input": "Sentence 1: The soccer player began to swing at the referee. Sentence 2: This action swung many votes over to his side. Word: swing", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2889": { "input": "Sentence 1: We can use this mathematical formula to solve the problem. Sentence 2: Use this knife to slice the bread. Word: use", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2890": { "input": "Sentence 1: He was fighting to his last breath. Sentence 2: Not a breath of scandal ever touched her. Word: breath", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2891": { "input": "Sentence 1: 19th century thought. Sentence 2: Darwinian thought. Word: thought", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2892": { "input": "Sentence 1: He was a successful pianist in his day. Sentence 2: In the days of the Roman Empire. Word: day", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2893": { "input": "Sentence 1: Make clay into bricks. Sentence 2: Make lead into gold. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2894": { "input": "Sentence 1: The young prince will soon occupy the throne. Sentence 2: He occupies two rooms on the top floor. Word: occupy", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2895": { "input": "Sentence 1: Mount a theater production. Sentence 2: Mount a play. Word: mount", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2896": { "input": "Sentence 1: His display of foulness deserved severe punishment. Sentence 2: He understood the foulness of sin. Word: foulness", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2897": { "input": "Sentence 1: The written part of the exam. Sentence 2: Please turn to Part I, Chapter 2. Word: part", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2898": { "input": "Sentence 1: How many cars does she have? Sentence 2: The dog down the street has a lax owner. Word: have", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2899": { "input": "Sentence 1: It was his rule to take a walk before breakfast. Sentence 2: He knew the rules of chess. Word: rule", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2900": { "input": "Sentence 1: I used to play with trucks as a little girl. Sentence 2: The kids were playing outside all day. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2901": { "input": "Sentence 1: A body of law. Sentence 2: A body of doctrine. Word: body", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2902": { "input": "Sentence 1: The taproot of his resentment. Sentence 2: Genius and insanity spring from the same taproot. Word: taproot", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2903": { "input": "Sentence 1: They are accused of conspiring to constrain trade. Sentence 2: Venice was an important center of trade with the East. Word: trade", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2904": { "input": "Sentence 1: The thermometer hit 100 degrees. Sentence 2: The movie hits theaters in December. Word: hit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2905": { "input": "Sentence 1: This is the one I ordered. Sentence 2: He is the best one. Word: one", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2906": { "input": "Sentence 1: First you have to cut off the water. Sentence 2: The boat was found in within the territorial waters. Word: water", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2907": { "input": "Sentence 1: Pack the books into the boxes. Sentence 2: To pack fish. Word: pack", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2908": { "input": "Sentence 1: The plains lay just beyond the mountain range. Sentence 2: He dreamed of a home on the range. Word: range", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2909": { "input": "Sentence 1: We only use Spanish at home. Sentence 2: He doesn't know how to use a computer. Word: use", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2910": { "input": "Sentence 1: Make an estimate. Sentence 2: What do you make of his remarks? Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2911": { "input": "Sentence 1: Don't catch your meaning. Sentence 2: Catch some sleep. Word: catch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2912": { "input": "Sentence 1: The ship went aground in the channel. Sentence 2: The English Channel lies between France and England. Word: channel", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2913": { "input": "Sentence 1: Cut a ticket. Sentence 2: The employer wants to cut back health benefits. Word: cut", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2914": { "input": "Sentence 1: To start a stream of water. Sentence 2: Start a new job. Word: start", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2915": { "input": "Sentence 1: Give a divorce. Sentence 2: The wall gave in. Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2916": { "input": "Sentence 1: Undergo a strange sensation. Sentence 2: The chemical undergoes a sudden change. Word: undergo", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2917": { "input": "Sentence 1: Pull your knees towards your chin. Sentence 2: Pull the handle towards you. Word: pull", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2918": { "input": "Sentence 1: Don't trust my ex-wife. Sentence 2: I trust you will behave better from now on. Word: trust", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2919": { "input": "Sentence 1: The lighted ribbon of traffic. Sentence 2: A mere ribbon of land. Word: ribbon", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2920": { "input": "Sentence 1: A chain of mountains. Sentence 2: The chain of command. Word: chain", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2921": { "input": "Sentence 1: I take aspirin every day to thin my blood. Sentence 2: Hitler took the Baltic Republics. Word: take", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2922": { "input": "Sentence 1: You need to learn to be more tolerant of difference. Sentence 2: It just won't make much of a difference to anyone. Word: difference", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2923": { "input": "Sentence 1: The weakness of the span was overlooked until it collapsed. Sentence 2: His weakness increased as he became older. Word: weakness", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2924": { "input": "Sentence 1: The recipe calls for half a stick of butter. Sentence 2: Fever left him weak on his sticks. Word: stick", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2925": { "input": "Sentence 1: Fall prey to an imposter. Sentence 2: The curtain fell on the diva. Word: fall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2926": { "input": "Sentence 1: Thanks to that quack I am a human wreck. Sentence 2: The house was a wreck when they bought it. Word: wreck", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2927": { "input": "Sentence 1: Set a record. Sentence 2: To set pear trees in an orchard. Word: set", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2928": { "input": "Sentence 1: I mean no harm. Sentence 2: I didn't mean to knock your tooth out. Word: mean", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2929": { "input": "Sentence 1: He wanted a shot at the champion. Sentence 2: I caught him with a solid shot to the chin. Word: shot", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2930": { "input": "Sentence 1: Point a chimney. Sentence 2: The gun points with ease. Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2931": { "input": "Sentence 1: Vermont will open elk hunting season next week. Sentence 2: This opens up new possibilities. Word: open", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2932": { "input": "Sentence 1: Leave the room. Sentence 2: Leave it as is. Word: leave", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2933": { "input": "Sentence 1: The Earth turns. Sentence 2: The wheels are turning. Word: turn", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2934": { "input": "Sentence 1: Pick a fight or a quarrel. Sentence 2: Pick pockets. Word: pick", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2935": { "input": "Sentence 1: Piecas kronas -- five krona. Sentence 2: Papīra krona -- paper krona (i.e., bills, banknotes). Word: krona", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2936": { "input": "Sentence 1: The foot of the list. Sentence 2: He stood at the foot of the tower. Word: foot", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2937": { "input": "Sentence 1: Analyze a sentence. Sentence 2: Analyze a chemical compound. Word: analyze", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2938": { "input": "Sentence 1: He had a time holding back the tears. Sentence 2: They had a good time together. Word: time", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2939": { "input": "Sentence 1: Remember to tip the waiter. Sentence 2: Tip the screen upward. Word: tip", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2940": { "input": "Sentence 1: Can you help me carry this table? Sentence 2: She never helps around the house. Word: help", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2941": { "input": "Sentence 1: I approve of his educational policies. Sentence 2: I certainly approved of Mary's acquaitance. Word: approve", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2942": { "input": "Sentence 1: He was arrested on a charge of larceny. Sentence 2: The admission charge. Word: charge", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2943": { "input": "Sentence 1: Beat on the door. Sentence 2: The sun was beating down on us. Word: beat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2944": { "input": "Sentence 1: He had a bit of good luck. Sentence 2: A horse hates having a bit put in its mouth. Word: bit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2945": { "input": "Sentence 1: Rise to a challenge. Sentence 2: The building rose before them. Word: rise", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2946": { "input": "Sentence 1: The thermometer hit 100 degrees. Sentence 2: I hit the jackpot. Word: hit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2947": { "input": "Sentence 1: I always stretch my muscles before exercising. Sentence 2: Stretch your legs! Word: stretch", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2948": { "input": "Sentence 1: Let's get down to work now. Sentence 2: She didn't get the joke. Word: get", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2949": { "input": "Sentence 1: A drop of each sample was analyzed. Sentence 2: They expected the drop would be successful. Word: drop", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2950": { "input": "Sentence 1: He stepped into the light. Sentence 2: It brought the scandal to light. Word: light", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2951": { "input": "Sentence 1: Home is where the heart is. Sentence 2: He grew up in a good Christian home. Word: home", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2952": { "input": "Sentence 1: Go to the supermarket and buy some tea. Sentence 2: Would you like some tea? Word: tea", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2953": { "input": "Sentence 1: He studied the score of the sonata. Sentence 2: A score were sent out but only one returned. Word: score", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2954": { "input": "Sentence 1: A comedy series. Sentence 2: His coin collection included the complete series of Indian-head pennies. Word: series", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2955": { "input": "Sentence 1: Foil your opponent. Sentence 2: In this picture, the figures are foiled against the background. Word: foil", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2956": { "input": "Sentence 1: Do you communicate well with your advisor? Sentence 2: Many deaf people communicate with sign language. Word: communicate", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2957": { "input": "Sentence 1: Lift an embargo. Sentence 2: Lift potatoes. Word: lift", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2958": { "input": "Sentence 1: Extend the casserole with a little rice. Sentence 2: Can we extend the legs of this dining table? Word: extend", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2959": { "input": "Sentence 1: I gave him a bit of my mind. Sentence 2: A bit of lint. Word: bit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2960": { "input": "Sentence 1: There is no better time than now. Sentence 2: Now is the right time. Word: now", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2961": { "input": "Sentence 1: The range and variety of his work is amazing. Sentence 2: Varieties are frequently recognized in botany. Word: variety", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2962": { "input": "Sentence 1: They serve a restricted role on the bench. Sentence 2: He had served in financial planning positions. Word: serve", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2963": { "input": "Sentence 1: Catch one's breath. Sentence 2: Catch some sleep. Word: catch", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2964": { "input": "Sentence 1: I can feel the sadness in his poems. Sentence 2: He felt his flesh crawl. Word: feel", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2965": { "input": "Sentence 1: They resisted every effort on his part. Sentence 2: They analyzed the river into three parts. Word: part", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2966": { "input": "Sentence 1: We're planning to camp in the field until Sunday. Sentence 2: The houseguests had to camp in the living room. Word: camp", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2967": { "input": "Sentence 1: The move into my fiancé's house took two long days. Sentence 2: They say that three moves equal one fire. Word: move", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2968": { "input": "Sentence 1: Matters came to a head yesterday. Sentence 2: I've got to go to the head. Word: head", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2969": { "input": "Sentence 1: A remarkable degree of frankness. Sentence 2: There are 360 degrees in a circle. Word: degree", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2970": { "input": "Sentence 1: Can you remember her phone number? Sentence 2: I can't remember saying any such thing. Word: remember", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2971": { "input": "Sentence 1: I want to know who is winning the game! Sentence 2: I know it's time. Word: know", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2972": { "input": "Sentence 1: She has a heart of gold. Sentence 2: The child was as good as gold. Word: gold", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2973": { "input": "Sentence 1: Run a temperature. Sentence 2: Let the dogs run free. Word: run", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2974": { "input": "Sentence 1: The hills around here fall towards the ocean. Sentence 2: His eyes fell. Word: fall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2975": { "input": "Sentence 1: To admit evidence in the trial of a cause. Sentence 2: She admitted us. Word: admit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2976": { "input": "Sentence 1: The change of government had no impact on the economy. Sentence 2: He inspected several changes before selecting one. Word: change", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2977": { "input": "Sentence 1: It will pay to wait. Sentence 2: To pay attention. Word: pay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2978": { "input": "Sentence 1: The death of my grandmother saddened the whole family. Sentence 2: She stayed until his death. Word: death", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2979": { "input": "Sentence 1: You must carry your camping gear. Sentence 2: These pipes carry waste water into the river. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2980": { "input": "Sentence 1: His parting shot was 'drop dead'. Sentence 2: I caught him with a solid shot to the chin. Word: shot", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2981": { "input": "Sentence 1: He can have the run of the house. Sentence 2: He has the run of the house. Word: run", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2982": { "input": "Sentence 1: Beat the subway fare. Sentence 2: Beat the table with his shoe. Word: beat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2983": { "input": "Sentence 1: Lift a ban. Sentence 2: Lift a load. Word: lift", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2984": { "input": "Sentence 1: There is no better time than now. Sentence 2: Now is a good time to do it. Word: now", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2985": { "input": "Sentence 1: He was a great actor in his time. Sentence 2: He had a time holding back the tears. Word: time", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2986": { "input": "Sentence 1: She was opening her post. Sentence 2: Is there any post for me? Word: post", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2987": { "input": "Sentence 1: Strike a bargain. Sentence 2: The Germans struck Poland on Sept. 1, 1939. Word: strike", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2988": { "input": "Sentence 1: They made a check of their equipment. Sentence 2: He paid all his bills by check. Word: check", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2989": { "input": "Sentence 1: Their love left them indifferent to their surroundings. Sentence 2: He hadn't had any love in months. Word: love", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2990": { "input": "Sentence 1: Drink was his downfall. Sentence 2: I asked for a hot drink. Word: drink", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2991": { "input": "Sentence 1: The song of bullets was in the air. Sentence 2: He bought it for a song. Word: song", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2992": { "input": "Sentence 1: He applied to the state for support. Sentence 2: They developed a scheme of mutual support. Word: support", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2993": { "input": "Sentence 1: The stock market reached a peak in September 1929. Sentence 2: Voltage peak. Word: peak", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2994": { "input": "Sentence 1: Come into contact with a terrorist group. Sentence 2: Where did you come from? Word: come", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2995": { "input": "Sentence 1: Take a risk. Sentence 2: I'll take that plate off the table. Word: take", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2996": { "input": "Sentence 1: The country set. Sentence 2: He did four sets of the incline bench press. Word: set", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "2997": { "input": "Sentence 1: There are some who question the scale of our ambitions. Sentence 2: The scale of the map. Word: scale", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2998": { "input": "Sentence 1: We visited a farm where they raise chickens. Sentence 2: Raise a family. Word: raise", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "2999": { "input": "Sentence 1: Cut a hole. Sentence 2: The sweat cut little rivulets into her face. Word: cut", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3000": { "input": "Sentence 1: The foot of the mountain. Sentence 2: The foot of the list. Word: foot", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3001": { "input": "Sentence 1: Give a divorce. Sentence 2: Give the orders. Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3002": { "input": "Sentence 1: The plane turned to make a second pass. Sentence 2: The media representatives had special passes. Word: pass", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3003": { "input": "Sentence 1: To snap a whip. Sentence 2: To snap a fastener. Word: snap", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3004": { "input": "Sentence 1: The whole of American literature. Sentence 2: Europe considered as a whole. Word: whole", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3005": { "input": "Sentence 1: The armies met in the shock of battle. Sentence 2: The train hit the buffers with a great shock. Word: shock", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3006": { "input": "Sentence 1: Pop the clutch. Sentence 2: The soldiers were popping. Word: pop", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3007": { "input": "Sentence 1: I always carry money. Sentence 2: The troops carried the town after a brief fight. Word: carry", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3008": { "input": "Sentence 1: An interesting idea hit her. Sentence 2: The ball hit the fence. Word: hit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3009": { "input": "Sentence 1: Anthropologists do much of their work in the field. Sentence 2: Field work traditionally distinguishes true archaeologists from armchair archaeologists. Word: field", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3010": { "input": "Sentence 1: The ship changed its course 15 degrees towards south. Sentence 2: The river takes a southern course. Word: course", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3011": { "input": "Sentence 1: Make a move. Sentence 2: They make a cute couple. Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3012": { "input": "Sentence 1: We don't intermingle much. Sentence 2: The yolks and the whites intermingled. Word: intermingle", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3013": { "input": "Sentence 1: They made a stopover to visit their friends. Sentence 2: There is a stopover to change planes in Chicago. Word: stopover", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3014": { "input": "Sentence 1: Sign language. Sentence 2: He didn't have the language to express his feelings. Word: language", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3015": { "input": "Sentence 1: What does the law say? Sentence 2: The registrar says that I owe the school money. Word: say", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3016": { "input": "Sentence 1: Throw the car into reverse. Sentence 2: The horse threw its inexperienced rider. Word: throw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3017": { "input": "Sentence 1: The letters \"a\", \"n\" and \"d\" spell \"and\". Sentence 2: I'm afraid this spells trouble! Word: spell", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3018": { "input": "Sentence 1: Can you help me carry this table? Sentence 2: Everyone helped out during the earthquake. Word: help", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3019": { "input": "Sentence 1: Take steps. Sentence 2: Shall we take a guide in Rome? Word: take", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3020": { "input": "Sentence 1: Come down here! Sentence 2: He came from France. Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3021": { "input": "Sentence 1: Come into the room. Sentence 2: Come out of the closet! Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3022": { "input": "Sentence 1: Turn on the spot. Sentence 2: Turn the dial to 10. Word: turn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3023": { "input": "Sentence 1: Trace a design. Sentence 2: The women traced the pasture. Word: trace", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3024": { "input": "Sentence 1: A high liver. Sentence 2: I'd like some goose liver pate. Word: liver", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3025": { "input": "Sentence 1: The beer had a large head of foam. Sentence 2: Pour me a fresh beer; this one has no head. Word: head", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3026": { "input": "Sentence 1: The two stories don't agree in many details. Sentence 2: We agreed what to do. Word: agree", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3027": { "input": "Sentence 1: Jogging works off my excess energy. Sentence 2: Europeans often laugh at American energy. Word: energy", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3028": { "input": "Sentence 1: The rules forbid our smoking. Sentence 2: The rules forbid us from smoking. Word: forbid", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3029": { "input": "Sentence 1: He has a sinister smile. Sentence 2: She had a smile on her face. Word: smile", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3030": { "input": "Sentence 1: You really have to empathize. Sentence 2: You really have to empathize with their doing it. Word: empathize", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3031": { "input": "Sentence 1: Dew dripped from the face of the leaf. Sentence 2: They climbed the north face of the mountain. Word: face", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3032": { "input": "Sentence 1: Clear the leaves from the lawn. Sentence 2: The balloon cleared the tree tops. Word: clear", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3033": { "input": "Sentence 1: He's family. Sentence 2: His family has lived in Massachusetts since the Mayflower. Word: family", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3034": { "input": "Sentence 1: He was sidelined with a hamstring pull. Sentence 2: Iron fillings drawn by the pull of a magnet. Word: pull", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3035": { "input": "Sentence 1: Marriage was scarcely his dish. Sentence 2: She prepared a special dish for dinner. Word: dish", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3036": { "input": "Sentence 1: Wear one's hair in a certain way. Sentence 2: She wore a smile all day. Word: wear", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3037": { "input": "Sentence 1: The grant doesn't cover my salary. Sentence 2: Cover the child with a blanket. Word: cover", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3038": { "input": "Sentence 1: Block the graphs so one can see the results clearly. Sentence 2: Block a plate for printing. Word: block", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3039": { "input": "Sentence 1: The language introduced is standard throughout the text. Sentence 2: He taught foreign languages. Word: language", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3040": { "input": "Sentence 1: 200 head of cattle and 50 head of horses. Sentence 2: A head of steam. Word: head", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3041": { "input": "Sentence 1: Can cause shortness of breath. Sentence 2: There was no shortness of money. Word: shortness", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3042": { "input": "Sentence 1: The return of spring. Sentence 2: The average return was about 5%. Word: return", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3043": { "input": "Sentence 1: I believe it's your deal. Sentence 2: I didn't have a good deal all evening. Word: deal", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3044": { "input": "Sentence 1: I like jogging. Sentence 2: She likes to read Russian novels. Word: like", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3045": { "input": "Sentence 1: Draw pulp from the fruit. Sentence 2: Draw blood and pus. Word: draw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3046": { "input": "Sentence 1: Run riot. Sentence 2: We ran the ad three times. Word: run", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3047": { "input": "Sentence 1: Scratch that remark. Sentence 2: Don't scratch your insect bites! Word: scratch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3048": { "input": "Sentence 1: He stuffed his mouth with candy. Sentence 2: He rode into the mouth of the canyon. Word: mouth", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3049": { "input": "Sentence 1: What do we have here? Sentence 2: Have a lover. Word: have", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3050": { "input": "Sentence 1: She felt she had to get out of the house. Sentence 2: He has a house on Cape Cod. Word: house", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3051": { "input": "Sentence 1: The south wall had a small window. Sentence 2: A wall of prejudice. Word: wall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3052": { "input": "Sentence 1: Our football team took a licking last night. Sentence 2: They suffered a convincing licking. Word: licking", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3053": { "input": "Sentence 1: Come into contact with a terrorist group. Sentence 2: The water came to a boil. Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3054": { "input": "Sentence 1: Drop him from the Republican ticket. Sentence 2: Shop til you drop. Word: drop", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3055": { "input": "Sentence 1: Let's play like I am mommy. Sentence 2: Play cowboy and Indians. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3056": { "input": "Sentence 1: Keep appointments. Sentence 2: She never keeps her promises. Word: keep", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3057": { "input": "Sentence 1: Please strike this remark from the record. Sentence 2: We must strike the enemy's oil fields. Word: strike", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3058": { "input": "Sentence 1: It sounds good but what's the catch? Sentence 2: The player made an impressive catch. Word: catch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3059": { "input": "Sentence 1: Cut a movie scene. Sentence 2: Cut the engines when the plane comes to a halt! Word: cut", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3060": { "input": "Sentence 1: This violinist is as good as Juilliard-trained violinists go. Sentence 2: It's your turn; go. Word: go", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3061": { "input": "Sentence 1: Crown my teeth. Sentence 2: The speech crowned the meeting. Word: crown", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3062": { "input": "Sentence 1: Develop a passion for painting. Sentence 2: Develop the rook. Word: develop", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3063": { "input": "Sentence 1: On weekends I play. Sentence 2: She played all her money on the dark horse. Word: play", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3064": { "input": "Sentence 1: Who's got dibs on the chips? Sentence 2: I have dibs on that last slice of pizza. Word: dibs", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3065": { "input": "Sentence 1: Her red hat gave her outfit a splash of color. Sentence 2: He made a great splash and then disappeared. Word: splash", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3066": { "input": "Sentence 1: There was too much play in the steering wheel. Sentence 2: It is still my play. Word: play", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3067": { "input": "Sentence 1: She had to pay the penalty for speaking out rashly. Sentence 2: You'll pay for this! Word: pay", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3068": { "input": "Sentence 1: I take it you're not going? Sentence 2: I estimate the trip will take about ten minutes. Word: take", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3069": { "input": "Sentence 1: I give you two minutes to respond. Sentence 2: She gave him First Aid. Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3070": { "input": "Sentence 1: I used to take The Sunday Times. Sentence 2: The hard work took its toll on her. Word: take", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3071": { "input": "Sentence 1: He came to a bad end. Sentence 2: The end of town. Word: end", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3072": { "input": "Sentence 1: We had a wonderful time at the party. Sentence 2: The judge leniently granted a sentence with no hard time. Word: time", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3073": { "input": "Sentence 1: To lash something to a spar. Sentence 2: The lion lashed its tail. Word: lash", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3074": { "input": "Sentence 1: The pain of loneliness. Sentence 2: The patient developed severe pain and distension. Word: pain", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3075": { "input": "Sentence 1: Can you take this bag, please. Sentence 2: Take a cookie! Word: take", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3076": { "input": "Sentence 1: Put that light out! Sentence 2: He stopped the car and turned off the lights. Word: light", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3077": { "input": "Sentence 1: Tears well in her eyes. Sentence 2: The currents well up. Word: well", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3078": { "input": "Sentence 1: The boat beat in the strong wind. Sentence 2: I beat the traffic. Word: beat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3079": { "input": "Sentence 1: The heart and soul of the Republican Party. Sentence 2: The heart and soul of any democracy is its electorate. Word: heart", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3080": { "input": "Sentence 1: Float a ship. Sentence 2: The boat floated on the water. Word: float", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3081": { "input": "Sentence 1: Can you drive this four-wheel truck? Sentence 2: What are you driving at? Word: drive", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3082": { "input": "Sentence 1: The tumult of the elements. Sentence 2: The tumult of the spirits or passions. Word: tumult", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3083": { "input": "Sentence 1: Develop the rook. Sentence 2: Report the news as it develops. Word: develop", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3084": { "input": "Sentence 1: We take all major credit cards. Sentence 2: We took a pay cut. Word: take", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3085": { "input": "Sentence 1: Shake one's head. Sentence 2: The bad news shook her hopes. Word: shake", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3086": { "input": "Sentence 1: To strengthen authority. Sentence 2: His body strengthened. Word: strengthen", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3087": { "input": "Sentence 1: The foot of the page. Sentence 2: The foot of the list. Word: foot", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3088": { "input": "Sentence 1: His knowledge doesn't go very far. Sentence 2: This property goes all the way to the state line. Word: go", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3089": { "input": "Sentence 1: Carry the suitcases to the car. Sentence 2: Amanda carried the package to New York. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3090": { "input": "Sentence 1: Loss of livestock left the rancher bankrupt. Sentence 2: A serious loss of business. Word: loss", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3091": { "input": "Sentence 1: Strike coins. Sentence 2: Strike a pose. Word: strike", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3092": { "input": "Sentence 1: Don't forget to charge the drill. Sentence 2: She was charged with supervising the creation of a concordance. Word: charge", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3093": { "input": "Sentence 1: Spiritual bankruptcy. Sentence 2: Moral bankruptcy. Word: bankruptcy", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3094": { "input": "Sentence 1: Competition was pushing them to the wall. Sentence 2: The wind blew against the walls of the tent. Word: wall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3095": { "input": "Sentence 1: They didn't have much in the way of clothing. Sentence 2: They are on the way. Word: way", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3096": { "input": "Sentence 1: The frequency of modulation was 40 cycles per second. Sentence 2: The frequency of his seizures increased as he grew older. Word: frequency", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3097": { "input": "Sentence 1: Is there any news about the storm? Sentence 2: That's news to me. Word: news", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3098": { "input": "Sentence 1: We sat around the fire singing songs and telling stories. Sentence 2: Fire was one of our ancestors' first discoveries. Word: fire", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3099": { "input": "Sentence 1: We carry a very large mortgage. Sentence 2: How many credits is this student carrying? Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3100": { "input": "Sentence 1: I want to get there early; let's roll. Sentence 2: The water rolled. Word: roll", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3101": { "input": "Sentence 1: The ball hit the fence. Sentence 2: The movie hits theaters in December. Word: hit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3102": { "input": "Sentence 1: To raise somebody to office. Sentence 2: Raise the specter of unemployment. Word: raise", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3103": { "input": "Sentence 1: The Earth turns. Sentence 2: He turned traitor. Word: turn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3104": { "input": "Sentence 1: The two streets connect to become a highway. Sentence 2: Our computers connected together. Word: connect", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3105": { "input": "Sentence 1: We should make Cincinnati by 7 tonight. Sentence 2: Make the bed. Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3106": { "input": "Sentence 1: Blaze a trail. Sentence 2: Meteors blazed across the atmosphere. Word: blaze", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3107": { "input": "Sentence 1: Your mother is a right pain. Sentence 2: That kid is a terrible pain. Word: pain", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3108": { "input": "Sentence 1: How could you do such a thing? Sentence 2: He has a thing about seafood. Word: thing", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3109": { "input": "Sentence 1: Magnolias belong to the order Magnoliales. Sentence 2: It was on the order of a mile. Word: order", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3110": { "input": "Sentence 1: The second movement is slow and melodic. Sentence 2: It was an expensive watch with a diamond movement. Word: movement", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3111": { "input": "Sentence 1: Pay attention. Sentence 2: He paid off the loan three months early. Word: pay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3112": { "input": "Sentence 1: The house is in order. Sentence 2: Magnolias belong to the order Magnoliales. Word: order", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3113": { "input": "Sentence 1: He was surprised by the absence of any explanation. Sentence 2: Absence makes the heart grow fonder. Word: absence", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3114": { "input": "Sentence 1: The train backed into the station. Sentence 2: The wind backed. Word: back", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3115": { "input": "Sentence 1: He placed a phone call to London. Sentence 2: The salesman's call on a customer. Word: call", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3116": { "input": "Sentence 1: The police returned to the scene of the crime. Sentence 2: He made a scene. Word: scene", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3117": { "input": "Sentence 1: Show me where the business was today. Sentence 2: Government and business could not agree. Word: business", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3118": { "input": "Sentence 1: Vermont will open elk hunting season next week. Sentence 2: Open a business. Word: open", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3119": { "input": "Sentence 1: The reporter fiddle with the facts. Sentence 2: We found out that she had been fiddling for years. Word: fiddle", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3120": { "input": "Sentence 1: He left school before the end of term. Sentence 2: A prison term. Word: term", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3121": { "input": "Sentence 1: I went to a lot of trouble. Sentence 2: He won without any trouble. Word: trouble", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3122": { "input": "Sentence 1: A sense of self. Sentence 2: A sense of happiness. Word: sense", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3123": { "input": "Sentence 1: Great progress in the arts. Sentence 2: He listened for the progress of the troops. Word: progress", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3124": { "input": "Sentence 1: She made a funny. Sentence 2: She told a funny story. Word: funny", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3125": { "input": "Sentence 1: Do research. Sentence 2: Will $100 do? Word: do", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3126": { "input": "Sentence 1: The floor of the pelvis. Sentence 2: He is a floor trader. Word: floor", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3127": { "input": "Sentence 1: Their quarterback was a good scrambler. Sentence 2: Scramblers can often unnerve a better tennis player. Word: scrambler", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3128": { "input": "Sentence 1: The sudden apparition of the Spaniards. -- William H. Prescott. Sentence 2: Natives were amazed at the apparition of this white stranger. Word: apparition", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3129": { "input": "Sentence 1: Lie dormant. Sentence 2: The snow lies on the roof. Word: lie", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3130": { "input": "Sentence 1: A hurl of abuse. Sentence 2: He managed a hurl of 50.3 metres. Word: hurl", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3131": { "input": "Sentence 1: Every man is a fool in some man's opinion. Sentence 2: His opinions appeared frequently on the editorial page. Word: opinion", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3132": { "input": "Sentence 1: We only use Spanish at home. Sentence 2: I can't use this tool. Word: use", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3133": { "input": "Sentence 1: Clothes make the man. Sentence 2: He made to speak but said nothing in the end. Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3134": { "input": "Sentence 1: Stay after school. Sentence 2: He didn't miss a single day of school. Word: school", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3135": { "input": "Sentence 1: Make a decision. Sentence 2: Make a move. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3136": { "input": "Sentence 1: Come into contact with a terrorist group. Sentence 2: Their anger came to a boil. Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3137": { "input": "Sentence 1: Turn the flour onto a plate. Sentence 2: Turn towards me. Word: turn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3138": { "input": "Sentence 1: The end of the year. Sentence 2: The end was exciting. Word: end", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3139": { "input": "Sentence 1: Load the camera. Sentence 2: He loaded carbs into his system before the marathon. Word: load", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3140": { "input": "Sentence 1: It worked up to right now. Sentence 2: There is no better time than now. Word: now", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3141": { "input": "Sentence 1: Roll a cigarette. Sentence 2: The drawer rolled open. Word: roll", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3142": { "input": "Sentence 1: The cognitive operation of remembering. Sentence 2: A multinational operation. Word: operation", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3143": { "input": "Sentence 1: The children were playing house. Sentence 2: He has a house on Cape Cod. Word: house", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3144": { "input": "Sentence 1: I spend my pocket money in two days. Sentence 2: I spent the time worrying about the future. Word: spend", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3145": { "input": "Sentence 1: There was a brief encounter in the hallway. Sentence 2: Their encounter was a matter of chance. Word: encounter", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3146": { "input": "Sentence 1: The rules forbid smoking. Sentence 2: The rules forbid our smoking. Word: forbid", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3147": { "input": "Sentence 1: Ears open to catch every sound. Sentence 2: Catch a glimpse. Word: catch", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3148": { "input": "Sentence 1: Stick the corner of the sheet under the mattress. Sentence 2: The friends stuck together through the war. Word: stick", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3149": { "input": "Sentence 1: To electrify a limb, or the body. Sentence 2: Electrify an appliance. Word: electrify", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3150": { "input": "Sentence 1: Why don't you call me in the morning? Sentence 2: Why don't you call tomorrow? Word: call", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3151": { "input": "Sentence 1: The car is so dirty, we need to wash it. Sentence 2: Can you wash away the spots on the windows? Word: wash", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3152": { "input": "Sentence 1: Come into the room. Sentence 2: The first success came three days later. Word: come", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3153": { "input": "Sentence 1: Now I see! Sentence 2: Can you see the bird in that tree? Word: see", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3154": { "input": "Sentence 1: Those clouds show little sign of raining soon. Sentence 2: Those clouds show signs of raining soon. Word: sign", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3155": { "input": "Sentence 1: A component or constituent element of a system. Sentence 2: In your element. Word: element", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3156": { "input": "Sentence 1: A ball of fire. Sentence 2: A ball of twine. Word: ball", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3157": { "input": "Sentence 1: He awoke with a start. Sentence 2: He woke with a start. Word: start", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3158": { "input": "Sentence 1: Set these words in italics. Sentence 2: Set the house afire. Word: set", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3159": { "input": "Sentence 1: The defensive platoon of the football team. Sentence 2: Platoons of tourists poured out of the busses. Word: platoon", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3160": { "input": "Sentence 1: He was on the heavy side. Sentence 2: Look on the bright side. Word: side", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3161": { "input": "Sentence 1: They are up to date. Sentence 2: We haven't heard from them to date. Word: date", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3162": { "input": "Sentence 1: Raise a sad cry. Sentence 2: Raise a protest. Word: raise", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3163": { "input": "Sentence 1: The movie demanded a dramatic canvas of sound. Sentence 2: The crowded canvas of history. Word: canvas", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3164": { "input": "Sentence 1: Lift the box onto the table. Sentence 2: I lifted the books onto the table. Word: lift", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3165": { "input": "Sentence 1: The set of prime numbers is infinite. Sentence 2: The set of his mind was obvious. Word: set", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3166": { "input": "Sentence 1: I feel that we need to try harder. Sentence 2: I felt my way cautiously through the dangerous business maneuver. Word: feel", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3167": { "input": "Sentence 1: He is a quick study. Sentence 2: No schools offer graduate study in interior design. Word: study", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3168": { "input": "Sentence 1: He drank a mixture of beer and lemonade. Sentence 2: A gradual mixture of cultures. Word: mixture", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3169": { "input": "Sentence 1: To raise Sandy Hook light. Sentence 2: Raise your hands. Word: raise", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3170": { "input": "Sentence 1: She read the sky and predicted rain. Sentence 2: The fortune teller read his fate in the crystal ball. Word: read", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3171": { "input": "Sentence 1: Would male strippers be appropriate for the divorce shower? Sentence 2: Today there will be frequent showers and some sunny spells. Word: shower", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3172": { "input": "Sentence 1: Football tickets are expensive at fifty bucks a throw. Sentence 2: He couldn't afford $50 a throw. Word: throw", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3173": { "input": "Sentence 1: Make a mistake. Sentence 2: My wife made me buy a new sofa. Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3174": { "input": "Sentence 1: The sale will run for ten days. Sentence 2: The book runs 655 pages. Word: run", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3175": { "input": "Sentence 1: Reduce a problem to a single question. Sentence 2: Reduce one's standard of living. Word: reduce", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3176": { "input": "Sentence 1: Beat one's breast. Sentence 2: Beat one's foot rhythmically. Word: beat", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3177": { "input": "Sentence 1: I'll meet you at the foot of the stairs. Sentence 2: His bare feet projected from his trousers. Word: foot", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3178": { "input": "Sentence 1: Can you count the books on your shelf? Sentence 2: There are three apples; count them. Word: count", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3179": { "input": "Sentence 1: Stay alone. Sentence 2: We stayed in Hawaii for a week. Word: stay", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3180": { "input": "Sentence 1: The soul of honor. Sentence 2: Soul was politically significant during the Civil Rights movement. Word: soul", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3181": { "input": "Sentence 1: Men first stepped on the moon in 1969. Sentence 2: The average distance to the Moon is 384,400 kilometers. Word: moon", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3182": { "input": "Sentence 1: To beam forth light. Sentence 2: The fire beamed on their faces. Word: beam", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3183": { "input": "Sentence 1: Fall asleep. Sentence 2: She fell to pieces after she lost her work. Word: fall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3184": { "input": "Sentence 1: In England they call a period a stop. Sentence 2: Picasso's blue period. Word: period", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3185": { "input": "Sentence 1: Pay an obligation. Sentence 2: Pay a debt. Word: pay", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3186": { "input": "Sentence 1: This violinist is as good as Juilliard-trained violinists go. Sentence 2: Get going! Word: go", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3187": { "input": "Sentence 1: Contact with the pier scraped paint from the hull. Sentence 2: The pilot made contact with the base. Word: contact", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3188": { "input": "Sentence 1: This project is his baby. Sentence 2: Hey baby, what are you doing later? Word: baby", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3189": { "input": "Sentence 1: Don't make this into a big deal. Sentence 2: He made a fool of himself at the meeting. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3190": { "input": "Sentence 1: Police controlled the motion of the crowd. Sentence 2: He made a motion to adjourn. Word: motion", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3191": { "input": "Sentence 1: Keep food for a week in the pantry. Sentence 2: I keep my specimens under glass to protect them. Word: keep", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3192": { "input": "Sentence 1: The flock of birds took to the air. Sentence 2: I need some fresh air. Word: air", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3193": { "input": "Sentence 1: A congregation is a vehicle of group identity. Sentence 2: His editorials provided a vehicle for his political views. Word: vehicle", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3194": { "input": "Sentence 1: Block a plate for printing. Sentence 2: Block the wheels of a car. Word: block", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3195": { "input": "Sentence 1: Dress the patient. Sentence 2: Dress the plants in the garden. Word: dress", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3196": { "input": "Sentence 1: Stand the test of time. Sentence 2: There stood on the corner a statue. Word: stand", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3197": { "input": "Sentence 1: You had better pack your swollen ankle with ice. Sentence 2: Pack your tents to the top of the mountain. Word: pack", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3198": { "input": "Sentence 1: I beg your pardon. I didn't mean to cause offence. Sentence 2: He begged her to go to the prom with him. Word: beg", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3199": { "input": "Sentence 1: The separation of wheat from chaff. Sentence 2: He hid in the separation between walls. Word: separation", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3200": { "input": "Sentence 1: The break in the eighth frame cost him the match. Sentence 2: They hoped to avoid a break in relations. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3201": { "input": "Sentence 1: The machine is now in working order. Sentence 2: He put his desk in order. Word: order", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3202": { "input": "Sentence 1: To call the roll of a military company. Sentence 2: The ship will call in Honolulu tomorrow. Word: call", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3203": { "input": "Sentence 1: Negociate securities. Sentence 2: The pianist negociated the difficult runs. Word: negociate", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3204": { "input": "Sentence 1: We have a big barrel to catch the rainwater. Sentence 2: He was caught in the act of stealing a biscuit. Word: catch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3205": { "input": "Sentence 1: The head of the page. Sentence 2: The head of the list. Word: head", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3206": { "input": "Sentence 1: The plant needs a firm anchorage. Sentence 2: The mother provides emotional anchorage for the entire family. Word: anchorage", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3207": { "input": "Sentence 1: Turn on the spot. Sentence 2: The wheels are turning. Word: turn", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3208": { "input": "Sentence 1: How much do you charge for lunch? Sentence 2: This fellow charges $100 for a massage. Word: charge", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3209": { "input": "Sentence 1: The opponent refused to strike. Sentence 2: The boxer struck the attacker dead. Word: strike", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3210": { "input": "Sentence 1: A chair is furniture. Sofas are also furniture. Sentence 2: How much furniture did they leave behind? Word: furniture", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3211": { "input": "Sentence 1: You make me feel naked. Sentence 2: She felt small and insignificant. Word: feel", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3212": { "input": "Sentence 1: I want to tell a story. Sentence 2: Tell what happened. Word: tell", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3213": { "input": "Sentence 1: Come down here! Sentence 2: Come with me to the Casbah. Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3214": { "input": "Sentence 1: Prove a will. Sentence 2: The exception proves the rule. Word: prove", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3215": { "input": "Sentence 1: I will carry the secret to my grave. Sentence 2: I carry her image in my mind's eye. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3216": { "input": "Sentence 1: When will the meeting be? Sentence 2: I shall be writing to you soon. Word: be", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3217": { "input": "Sentence 1: Unauthorized reproduction of this article is prohibited. Sentence 2: Gutenberg's reproduction of holy texts was far more efficient. Word: reproduction", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3218": { "input": "Sentence 1: It contains approximately a third of the minimum daily requirement. Sentence 2: He ate a third of the pie. Word: third", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3219": { "input": "Sentence 1: Boys in the village have probably been shooting vermin. Sentence 2: Cereals must be protected from mice and other vermin. Word: vermin", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3220": { "input": "Sentence 1: This is a product of lime and nitric acid. Sentence 2: Skill is the product of hours of practice. Word: product", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3221": { "input": "Sentence 1: Every artist needs an audience. Sentence 2: He saw that he had lost his audience. Word: audience", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3222": { "input": "Sentence 1: Break an alibi. Sentence 2: The dam broke. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3223": { "input": "Sentence 1: A head of cauliflower. Sentence 2: He is two heads taller than his little sister. Word: head", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3224": { "input": "Sentence 1: To fall off a point. Sentence 2: The one with the most points will win the game. Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3225": { "input": "Sentence 1: Do you remember that he once loved you? Sentence 2: I can't remember saying any such thing. Word: remember", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3226": { "input": "Sentence 1: The reason that war was declared. Sentence 2: There is reason to believe he is lying. Word: reason", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3227": { "input": "Sentence 1: Get a life. Sentence 2: His heroism saved a life. Word: life", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3228": { "input": "Sentence 1: To raise a wall, or a heap of stones. Sentence 2: Raise a siege. Word: raise", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3229": { "input": "Sentence 1: I shall be writing to you soon. Sentence 2: The sky is blue. Word: be", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3230": { "input": "Sentence 1: The mayor threw out the first ball. Sentence 2: The ball rolled into the corner pocket. Word: ball", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3231": { "input": "Sentence 1: There is a constant hum of military preparation. Sentence 2: The hum of distant traffic. Word: hum", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3232": { "input": "Sentence 1: A solid border around a table of figures. Sentence 2: There's a nice frilly border around the picture frame. Word: border", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3233": { "input": "Sentence 1: What make of car is that? Sentence 2: What make of car do you drive? Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3234": { "input": "Sentence 1: Keep food for a week in the pantry. Sentence 2: I always keep batteries in the freezer. Word: keep", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3235": { "input": "Sentence 1: Increased expenses put a squeeze on profits. Sentence 2: Getting through that small opening was a tight squeeze. Word: squeeze", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3236": { "input": "Sentence 1: Piecas kronas -- five krona. Sentence 2: Kronas kurss -- the exchange rate of the krona. Word: krona", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3237": { "input": "Sentence 1: Your place or mine? Sentence 2: A woman's place is no longer in the kitchen. Word: place", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3238": { "input": "Sentence 1: The key to winning a game. Sentence 2: The key to solving this problem is persistence. Word: key", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3239": { "input": "Sentence 1: I ride to work in a bus. Sentence 2: She rode a wave of popularity. Word: ride", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3240": { "input": "Sentence 1: Can you teach me to sew? Sentence 2: Wanda taught the students. Word: teach", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3241": { "input": "Sentence 1: Home is where the heart is. Sentence 2: There's no place like home. Word: home", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3242": { "input": "Sentence 1: Pull a horse. Sentence 2: Pull weeds. Word: pull", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3243": { "input": "Sentence 1: The mechanism for arousal from sleep. Sentence 2: The animal undergoes regular spells of arousal. Word: arousal", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3244": { "input": "Sentence 1: You should practice playing piano every day. Sentence 2: Pianists practice scales. Word: practice", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3245": { "input": "Sentence 1: We were hit by really bad weather. Sentence 2: The temperature could hit 110 F tomorrow. Word: hit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3246": { "input": "Sentence 1: To militate in favor of a particular result. Sentence 2: Politeness militated against this opinion being expressed. Word: militate", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3247": { "input": "Sentence 1: I beat the traffic. Sentence 2: Beat the subway fare. Word: beat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3248": { "input": "Sentence 1: Messages must go through diplomatic channels. Sentence 2: We should go farther in this matter. Word: go", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3249": { "input": "Sentence 1: She made a copy of the designer dress. Sentence 2: Please bring me the copies of those reports. Word: copy", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3250": { "input": "Sentence 1: I know it's time. Sentence 2: She knew of our plan. Word: know", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3251": { "input": "Sentence 1: The never-ending cycle of the seasons. Sentence 2: The cycle of the seasons, or of the year. Word: cycle", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3252": { "input": "Sentence 1: Shoot a goal. Sentence 2: In my round of golf yesterday I shot a 76. Word: shoot", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3253": { "input": "Sentence 1: My neighborhood voted for Bush. Sentence 2: The price is in the neighborhood of $100. Word: neighborhood", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3254": { "input": "Sentence 1: Keep notes. Sentence 2: Keep a diary. Word: keep", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3255": { "input": "Sentence 1: They resisted every effort on his part. Sentence 2: Glue the two parts together. Word: part", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3256": { "input": "Sentence 1: Reduce a problem to a single question. Sentence 2: The cells reduce. Word: reduce", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3257": { "input": "Sentence 1: I start at eight in the morning. Sentence 2: I start my day with a good breakfast. Word: start", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3258": { "input": "Sentence 1: To set pear trees in an orchard. Sentence 2: Set these words in italics. Word: set", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3259": { "input": "Sentence 1: This is my house and my family's ancestral home. Sentence 2: She felt she had to get out of the house. Word: house", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3260": { "input": "Sentence 1: He longed for the touch of her hand. Sentence 2: This room needs a woman's touch. Word: touch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3261": { "input": "Sentence 1: A return to one's question. Sentence 2: The return of spring. Word: return", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3262": { "input": "Sentence 1: He ate a large bag of popcorn. Sentence 2: He carried his small bag onto the plane with him. Word: bag", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3263": { "input": "Sentence 1: We can not admit non-members into our club building. Sentence 2: She admitted us here. Word: admit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3264": { "input": "Sentence 1: Take sick. Sentence 2: Be taken drunk. Word: take", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3265": { "input": "Sentence 1: A fan aids air circulation. Sentence 2: Ocean circulation is an important part of global climate. Word: circulation", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3266": { "input": "Sentence 1: Nuts shell in falling. Sentence 2: Wheat or rye shells in reaping. Word: shell", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3267": { "input": "Sentence 1: Melt butter. Sentence 2: The wax melted in the sun. Word: melt", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3268": { "input": "Sentence 1: The hills around here fall towards the ocean. Sentence 2: His voice fell to a whisper. Word: fall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3269": { "input": "Sentence 1: The sound awakened them. Sentence 2: Owen Sound. Word: sound", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3270": { "input": "Sentence 1: Receive the incoming radio signals. Sentence 2: The community warmly received the refugees. Word: receive", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3271": { "input": "Sentence 1: The trapped miners found a pocket of air. Sentence 2: They dipped into the taxpayers' pockets. Word: pocket", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3272": { "input": "Sentence 1: He built the house on land leased from the city. Sentence 2: There's no work on the land any more. Word: land", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3273": { "input": "Sentence 1: Draw on a cigarette. Sentence 2: Draw a deep breath. Word: draw", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3274": { "input": "Sentence 1: To militate against the possibility of his election. Sentence 2: To militate in favor of a particular result. Word: militate", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3275": { "input": "Sentence 1: They paid taxes on every stage of the operation. Sentence 2: They had to consolidate their operations. Word: operation", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3276": { "input": "Sentence 1: A head of cauliflower. Sentence 2: A head of lettuce. Word: head", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3277": { "input": "Sentence 1: My neighbour has an annoying cat. Sentence 2: They're our neighbours across the street. Word: neighbour", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3278": { "input": "Sentence 1: An executive or judical office. Sentence 2: He rented an office in the new building. Word: office", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3279": { "input": "Sentence 1: To die to pleasure or to sin. Sentence 2: She died from cancer. Word: die", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3280": { "input": "Sentence 1: A set of golf clubs. Sentence 2: A set of teeth. Word: set", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3281": { "input": "Sentence 1: Cut the skin with the point of the knife. Sentence 2: A row of points. Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3282": { "input": "Sentence 1: Running at full stretch. Sentence 2: By no stretch of the imagination. Word: stretch", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3283": { "input": "Sentence 1: To hold true. Sentence 2: The weather held. Word: hold", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3284": { "input": "Sentence 1: She didn't get to Chicago until after midnight. Sentence 2: Get permission to take a few days off from work. Word: get", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3285": { "input": "Sentence 1: The noisy voice of the waterfall. Sentence 2: The incessant voices of the artillery. Word: voice", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3286": { "input": "Sentence 1: A sense of danger. Sentence 2: A sense of security. Word: sense", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3287": { "input": "Sentence 1: Point a chimney. Sentence 2: Point the letter. Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3288": { "input": "Sentence 1: The dirty side will show. Sentence 2: His good upbringing really shows. Word: show", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3289": { "input": "Sentence 1: He stepped into the light. Sentence 2: They played as long as it was light. Word: light", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3290": { "input": "Sentence 1: He appointed himself emperor for life. Sentence 2: While there's life there's hope. Word: life", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3291": { "input": "Sentence 1: He works on commission. Sentence 2: A reseller's commission. Word: commission", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3292": { "input": "Sentence 1: I draw a line here. Sentence 2: Draw parallels. Word: draw", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3293": { "input": "Sentence 1: They gave full play to the artist's talent. Sentence 2: The coach drew up the plays for her team. Word: play", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3294": { "input": "Sentence 1: There was too much for one person to do. Sentence 2: Each person is unique, both mentally and physically. Word: person", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3295": { "input": "Sentence 1: The key to winning a game. Sentence 2: The key to development is economic integration. Word: key", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3296": { "input": "Sentence 1: Make friends. Sentence 2: Make enemies. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3297": { "input": "Sentence 1: I may be an hour. Sentence 2: When will the meeting be? Word: be", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3298": { "input": "Sentence 1: These potatoes keep for a long time. Sentence 2: Keep the commandments. Word: keep", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3299": { "input": "Sentence 1: You drive nails into wood with a hammer. Sentence 2: Drive a nail into the wall. Word: drive", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3300": { "input": "Sentence 1: You need four people to play this game. Sentence 2: Games in the classroom can make learning fun. Word: game", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3301": { "input": "Sentence 1: She can hold an audience spellbound. Sentence 2: Hold this bowl for a moment, please. Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3302": { "input": "Sentence 1: We had to stand for the entire performance! Sentence 2: There stood on the corner a statue. Word: stand", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3303": { "input": "Sentence 1: Draw a weapon. Sentence 2: Draw a wagon. Word: draw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3304": { "input": "Sentence 1: A good review by this critic will make your play! Sentence 2: This company is what made you. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3305": { "input": "Sentence 1: We had the chance to meet the president last week. Sentence 2: Now is your chance. Word: chance", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3306": { "input": "Sentence 1: May God keep you. Sentence 2: She keeps an apartment in Paris for her shopping trips. Word: keep", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3307": { "input": "Sentence 1: Clear the water before it can be drunk. Sentence 2: Clear the patrons from the theater after the bomb threat. Word: clear", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3308": { "input": "Sentence 1: Can I keep my old stuffed animals? Sentence 2: She never keeps her promises. Word: keep", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3309": { "input": "Sentence 1: Even if it's not illegal, plagiarism is usually frowned upon. Sentence 2: Copy from one, it's plagiarism. Copy from two, it's research. Word: plagiarism", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3310": { "input": "Sentence 1: He designed a new piece of equipment. Sentence 2: She bought a lovely piece of china. Word: piece", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3311": { "input": "Sentence 1: The English language. Sentence 2: He recorded the spoken language of the streets. Word: language", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3312": { "input": "Sentence 1: Turn your dance partner around. Sentence 2: Turn the car around. Word: turn", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3313": { "input": "Sentence 1: He was on the heavy side. Sentence 2: He is on the purchasing side of the business. Word: side", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3314": { "input": "Sentence 1: The gas expanded to twice its original volume. Sentence 2: The volume of ticket sales decreased this week. Word: volume", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3315": { "input": "Sentence 1: Can I keep my old stuffed animals? Sentence 2: Keep smiling. Word: keep", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3316": { "input": "Sentence 1: Air pollution. Sentence 2: Her hand stopped in mid air. Word: air", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3317": { "input": "Sentence 1: Your wish will come true. Sentence 2: Which letter comes before Y? Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3318": { "input": "Sentence 1: Philip's dwelling fronted on the street. -- Alfred Tennyson. Sentence 2: He built a modest dwelling near the pond. Word: dwelling", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3319": { "input": "Sentence 1: This speech didn't play well with the American public. Sentence 2: His remarks played to the suspicions of the committee. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3320": { "input": "Sentence 1: I fear the worst will happen. Sentence 2: I fear for their safety. Word: fear", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3321": { "input": "Sentence 1: The explosion was heard a mile away. Sentence 2: An explosion of rage. Word: explosion", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3322": { "input": "Sentence 1: Most BASIC files use the filename extension .BAS. Sentence 2: A text file will have a file extension of .txt. Word: extension", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3323": { "input": "Sentence 1: Waiter, please bring me a single malt whiskey. Sentence 2: This brings me to the main point. Word: bring", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3324": { "input": "Sentence 1: Turn the legs of the table. Sentence 2: Turn a somersault. Word: turn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3325": { "input": "Sentence 1: She was the picture of despair. Sentence 2: The very picture of a modern general. Word: picture", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3326": { "input": "Sentence 1: They make a cute couple. Sentence 2: Clothes make the man. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3327": { "input": "Sentence 1: Offer prayers to the gods. Sentence 2: The Shakespeare Company is offering 'King Lear' this month. Word: offer", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3328": { "input": "Sentence 1: He stuck his head out the window. Sentence 2: They tracked him back toward the head of the stream. Word: head", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3329": { "input": "Sentence 1: The machinery is out of order. Sentence 2: IBM received an order for a hundred computers. Word: order", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3330": { "input": "Sentence 1: She didn't leave until midnight. Sentence 2: The ship leaves at midnight. Word: leave", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3331": { "input": "Sentence 1: A bedside stand. Sentence 2: The army made a final stand at the Rhone. Word: stand", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3332": { "input": "Sentence 1: The institution of marriage. Sentence 2: He had become an institution in the theater. Word: institution", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3333": { "input": "Sentence 1: They're going to the Civil War battle reenactment this weekend. Sentence 2: The reenactment of the battle of Princeton. Word: reenactment", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3334": { "input": "Sentence 1: He has a touch of rheumatism. Sentence 2: This piano has a wonderful touch. Word: touch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3335": { "input": "Sentence 1: He celebrated after the sale of company. Sentence 2: They held a sale to reduce their inventory. Word: sale", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3336": { "input": "Sentence 1: An angry face. Sentence 2: He looked out at a roomful of faces. Word: face", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3337": { "input": "Sentence 1: The architect left space in front of the building. Sentence 2: They stopped at an open space in the jungle. Word: space", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3338": { "input": "Sentence 1: Make advances. Sentence 2: She'll make a fine president. Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3339": { "input": "Sentence 1: An estimate of what it would cost. Sentence 2: Many factors are involved in any estimate of human life. Word: estimate", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3340": { "input": "Sentence 1: Swing a bat. Sentence 2: His mood swings. Word: swing", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3341": { "input": "Sentence 1: A sample for ten days free trial. Sentence 2: Candidates must compete in a trial of skill. Word: trial", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3342": { "input": "Sentence 1: I want to go home now. Sentence 2: This piano wants the attention of a competent tuner. Word: want", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3343": { "input": "Sentence 1: He didn't miss a single day of school. Sentence 2: He walked to school every morning. Word: school", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3344": { "input": "Sentence 1: The battalion was a mere skeleton of its former self. Sentence 2: The bare skeleton of a novel. Word: skeleton", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3345": { "input": "Sentence 1: Putting them in readiness. Sentence 2: \"A happy readiness of conversation\" -- Jane Austen. Word: readiness", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3346": { "input": "Sentence 1: Give a yelp. Sentence 2: The roof finally gave under the weight of the ice. Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3347": { "input": "Sentence 1: Stretch out that piece of cloth. Sentence 2: The rubber band stretched almost to the breaking point. Word: stretch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3348": { "input": "Sentence 1: Keep your cool. Sentence 2: He keeps bees. Word: keep", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3349": { "input": "Sentence 1: This guy can press 300 pounds. Sentence 2: Press a record. Word: press", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3350": { "input": "Sentence 1: We were hit by really bad weather. Sentence 2: He hit .300 in the past season. Word: hit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3351": { "input": "Sentence 1: His editorials provided a vehicle for his political views. Sentence 2: The play was just a vehicle to display her talents. Word: vehicle", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3352": { "input": "Sentence 1: I used to take The Sunday Times. Sentence 2: Take action. Word: take", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3353": { "input": "Sentence 1: It will pay to wait. Sentence 2: You'll pay for this opinion later. Word: pay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3354": { "input": "Sentence 1: He got in touch with his colleagues. Sentence 2: This room needs a woman's touch. Word: touch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3355": { "input": "Sentence 1: To repair a shattered fortune. Sentence 2: To repair to sanctuary for safety. Word: repair", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3356": { "input": "Sentence 1: He uttered harsh language. Sentence 2: Sign language. Word: language", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3357": { "input": "Sentence 1: Play safe. Sentence 2: The tape was playing for hours. Word: play", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3358": { "input": "Sentence 1: He cut a sorry figure standing there in the rain. Sentence 2: He made a figure of Santa Claus. Word: figure", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3359": { "input": "Sentence 1: Break a promise. Sentence 2: The surf broke. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3360": { "input": "Sentence 1: This Chinese year is the year of the Rooster. Sentence 2: I was born in the year 1950. Word: year", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3361": { "input": "Sentence 1: It brought out his better side. Sentence 2: He is on the purchasing side of the business. Word: side", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3362": { "input": "Sentence 1: Use the plastic bags to store the food. Sentence 2: Use this knife to slice the bread. Word: use", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3363": { "input": "Sentence 1: You'll pay for this opinion later. Sentence 2: He was allowed to go as soon as he paid. Word: pay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3364": { "input": "Sentence 1: A leak in a gas pipe. Sentence 2: A leak in a roof. Word: leak", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3365": { "input": "Sentence 1: As they say in the trade. Sentence 2: They are accused of conspiring to constrain trade. Word: trade", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3366": { "input": "Sentence 1: His weakness increased as he became older. Sentence 2: He has a weakness for chocolate. Word: weakness", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3367": { "input": "Sentence 1: World fair. Sentence 2: Trade fair. Word: fair", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3368": { "input": "Sentence 1: The story is false, so far as I can discover. Sentence 2: I discovered how to do it. Word: discover", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3369": { "input": "Sentence 1: His drive and energy exhausted his co-workers. Sentence 2: The riverside drive offers many exciting scenic views. Word: drive", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3370": { "input": "Sentence 1: The car hit a tree. Sentence 2: The ball hit the fence. Word: hit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3371": { "input": "Sentence 1: They broke faith with their investors. Sentence 2: Keep the faith. Word: faith", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3372": { "input": "Sentence 1: I have little disposition now to do as you say. Sentence 2: Salt has a disposition to dissolve in water. Word: disposition", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3373": { "input": "Sentence 1: She never lost control of herself. Sentence 2: He had lost control of his sphincters. Word: control", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3374": { "input": "Sentence 1: There as a trail of blood. Sentence 2: The trail led straight to the perpetrator. Word: trail", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3375": { "input": "Sentence 1: He followed on foot. Sentence 2: The foot of the mountain. Word: foot", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3376": { "input": "Sentence 1: The centimetre is a unit of length. Sentence 2: The dollar is the United States unit of currency. Word: unit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3377": { "input": "Sentence 1: This nest egg will ensure a nice retirement for us. Sentence 2: The circumstances ensured a good outcome for him. Word: ensure", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3378": { "input": "Sentence 1: Pay a visit. Sentence 2: It pays to go through the trouble. Word: pay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3379": { "input": "Sentence 1: Saw the board across the grain. Sentence 2: A grain of salt. Word: grain", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3380": { "input": "Sentence 1: They had sex in the back seat. Sentence 2: (The believers ... those ...) who abstain from sex. Word: sex", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3381": { "input": "Sentence 1: I'm not going to buy your stupid excuses anymore! Sentence 2: I can't buy this story. Word: buy", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3382": { "input": "Sentence 1: His tantrums are a statement of his need for attention. Sentence 2: A Cadillac makes a statement about who you are. Word: statement", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3383": { "input": "Sentence 1: Shelve books. Sentence 2: The library needs volunteers to help shelve books. Word: shelve", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3384": { "input": "Sentence 1: It was my good luck to be there. Sentence 2: They say luck is a lady. Word: luck", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3385": { "input": "Sentence 1: Trace a pattern. Sentence 2: Trace the student's progress. Word: trace", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3386": { "input": "Sentence 1: To sophisticate wine. -- Howell. Sentence 2: Sophisticate rose water with geraniol. Word: sophisticate", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3387": { "input": "Sentence 1: He sacrificed a piece to get a strategic advantage. Sentence 2: He needed a piece of granite. Word: piece", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3388": { "input": "Sentence 1: Can you give me lessons? Sentence 2: When they asked, I gave my coat. Word: give", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3389": { "input": "Sentence 1: Check the brakes. Sentence 2: Check the oil in your car once a month. Word: check", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3390": { "input": "Sentence 1: He has an unlisted number. Sentence 2: He had a number of chores to do. Word: number", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3391": { "input": "Sentence 1: It just won't make much of a difference to anyone. Sentence 2: His support made a real difference. Word: difference", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3392": { "input": "Sentence 1: Burn garbage. Sentence 2: She was burning with anger. Word: burn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3393": { "input": "Sentence 1: They serve a restricted role on the bench. Sentence 2: The minister served the King for many years. Word: serve", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3394": { "input": "Sentence 1: Give priority to. Sentence 2: Give one's name. Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3395": { "input": "Sentence 1: I beg your pardon. I didn't mean to cause offence. Sentence 2: I begged to come. Word: beg", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3396": { "input": "Sentence 1: Catch fire. Sentence 2: She caught her son eating candy. Word: catch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3397": { "input": "Sentence 1: Develop land. Sentence 2: The country developed its natural resources. Word: develop", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3398": { "input": "Sentence 1: I'd like a big bit of cake, please. Sentence 2: There are 8 bits in a byte. Word: bit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3399": { "input": "Sentence 1: Sculpture is a form of art. Sentence 2: To apply for the position, complete the application form. Word: form", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3400": { "input": "Sentence 1: The military academy at West Point. Sentence 2: Academies of literature and philology. Word: academy", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3401": { "input": "Sentence 1: Propagate sound or light through air. Sentence 2: Sound and light propagate in this medium. Word: propagate", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3402": { "input": "Sentence 1: Fall into a strange way of thinking. Sentence 2: They fell out of favor. Word: fall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3403": { "input": "Sentence 1: Treat an oil spill. Sentence 2: You treated me like a fool. Word: treat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3404": { "input": "Sentence 1: I envied his rapid buildup of assets. Sentence 2: A military buildup in preparation for the invasion. Word: buildup", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3405": { "input": "Sentence 1: The roll of a ball. Sentence 2: Calculate the roll of that aircraft. Word: roll", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3406": { "input": "Sentence 1: Can you teach me to sew? Sentence 2: Can you teach sewing to me? Word: teach", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3407": { "input": "Sentence 1: Pick up the tab. Sentence 2: Pick up the burden of high-interest mortgages. Word: pick", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3408": { "input": "Sentence 1: Bear a heavy load. Sentence 2: Bear a resemblance. Word: bear", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3409": { "input": "Sentence 1: No thanks, I don't drink. Sentence 2: You've been drinking, haven't you? Word: drink", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3410": { "input": "Sentence 1: Crime doesn't pay. Sentence 2: To pay attention. Word: pay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3411": { "input": "Sentence 1: This nest egg will ensure a nice retirement for us. Sentence 2: Our exertions ensured a good outcome. Word: ensure", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3412": { "input": "Sentence 1: An emerging professional class. Sentence 2: Flirting is not unknown in college classes. Word: class", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3413": { "input": "Sentence 1: We'll get them! Sentence 2: Did you get it? Word: get", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3414": { "input": "Sentence 1: To seize a ship after libeling. Sentence 2: The terrorists seized the politicians. Word: seize", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3415": { "input": "Sentence 1: He does not have a grain of sense. Sentence 2: There was a grain of truth in what he said. Word: grain", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3416": { "input": "Sentence 1: I understand wanting more. Sentence 2: I understand how to do it. Word: understand", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3417": { "input": "Sentence 1: Shoot a golf ball. Sentence 2: Shoot craps. Word: shoot", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3418": { "input": "Sentence 1: A ball of fire. Sentence 2: A ball of wool. Word: ball", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3419": { "input": "Sentence 1: Please sweep the floor. Sentence 2: They were swept up by the events. Word: sweep", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3420": { "input": "Sentence 1: Don't touch my CDs! Sentence 2: She didn't touch her food all night. Word: touch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3421": { "input": "Sentence 1: The love of money is the root of all evil. Sentence 2: Communism's Russian root. Word: root", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3422": { "input": "Sentence 1: Wear gloves so your hands stay warm. Sentence 2: We are staying in Detroit. Word: stay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3423": { "input": "Sentence 1: Economy of effort. Sentence 2: The Scots are famous for their economy. Word: economy", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3424": { "input": "Sentence 1: Room to pass. Sentence 2: There wasn't that much elbow room in the aircraft. Word: room", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3425": { "input": "Sentence 1: My cat often sleeps on my bed. Sentence 2: He worked in the coal beds. Word: bed", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3426": { "input": "Sentence 1: These bonds carry warrants. Sentence 2: The restaurant carries an unusual name. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3427": { "input": "Sentence 1: What do you get when you add up these numbers? Sentence 2: Get nauseous. Word: get", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3428": { "input": "Sentence 1: As a Greek numeral, iota represents ten. Sentence 2: There are twelve iotas on that page. Word: iota", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3429": { "input": "Sentence 1: The teaching consists of theory lessons and case studies. Sentence 2: A door case. Word: case", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3430": { "input": "Sentence 1: Every artist needs an audience. Sentence 2: The broadcast reached an audience of millions. Word: audience", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3431": { "input": "Sentence 1: She knotted the end of the thread. Sentence 2: The end of the pier. Word: end", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3432": { "input": "Sentence 1: Give priority to. Sentence 2: Give bond. Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3433": { "input": "Sentence 1: The application of indexes to tables of data. Sentence 2: Massage has far-reaching medical applications. Word: application", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3434": { "input": "Sentence 1: We can use this mathematical formula to solve the problem. Sentence 2: Use your head! Word: use", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3435": { "input": "Sentence 1: A working stiff. Sentence 2: A lucky stiff. Word: stiff", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3436": { "input": "Sentence 1: They saw the light of the beacon. Sentence 2: He stopped the car and turned off the lights. Word: light", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3437": { "input": "Sentence 1: A stick of dynamite. Sentence 2: Cinnamon sticks. Word: stick", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3438": { "input": "Sentence 1: Fall into a category. Sentence 2: Silly phrases fell from her mouth. Word: fall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3439": { "input": "Sentence 1: Heat the house. Sentence 2: Heat the water on the stove. Word: heat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3440": { "input": "Sentence 1: We hit Detroit by noon. Sentence 2: Jones hit for the pitcher. Word: hit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3441": { "input": "Sentence 1: The minister doesn't see anybody before noon. Sentence 2: The doctor will see you now. Word: see", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3442": { "input": "Sentence 1: He passed all the exams with ease. Sentence 2: They put it into containers for ease of transportation. Word: ease", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3443": { "input": "Sentence 1: The pilot had to bank the aircraft. Sentence 2: Bank a fire. Word: bank", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3444": { "input": "Sentence 1: To stick an apple on a fork. Sentence 2: He stuck the cloth with the needle. Word: stick", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3445": { "input": "Sentence 1: If you hurry you'll catch the post. Sentence 2: Is there any post for me? Word: post", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3446": { "input": "Sentence 1: I couldn't get his words out of my head. Sentence 2: This song keeps going through my head. Word: head", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3447": { "input": "Sentence 1: I don't like the look of the new design. Sentence 2: I don't like the looks of this place. Word: look", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3448": { "input": "Sentence 1: A sense of self. Sentence 2: A sense of security. Word: sense", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3449": { "input": "Sentence 1: She had to pay the penalty for speaking out rashly. Sentence 2: You'll pay for this opinion later. Word: pay", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3450": { "input": "Sentence 1: Every artist needs an audience. Sentence 2: He requested an audience with the king. Word: audience", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3451": { "input": "Sentence 1: What price glory? Sentence 2: They say that every politician has a price. Word: price", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3452": { "input": "Sentence 1: Call the speaker on a question of fact. Sentence 2: Call roll. Word: call", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3453": { "input": "Sentence 1: They stayed in the pattern until the fog lifted. Sentence 2: The traffic patterns around O'Hare are very crowded. Word: pattern", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3454": { "input": "Sentence 1: You need to flip the pancake onto the other side. Sentence 2: Flip over the pork chop. Word: flip", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3455": { "input": "Sentence 1: I'm not going to buy your stupid excuses anymore! Sentence 2: Carmen bought a dress from Diana. Word: buy", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3456": { "input": "Sentence 1: Turn your face to the wall. Sentence 2: Turn your dance partner around. Word: turn", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3457": { "input": "Sentence 1: Think thin. Sentence 2: Idly, the detective thought what his next move should be. Word: think", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3458": { "input": "Sentence 1: When will the meeting be? Sentence 2: The dog was drowned by the boy. Word: be", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3459": { "input": "Sentence 1: A drop of each sample was analyzed. Sentence 2: There is not a drop of pity in that man. Word: drop", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3460": { "input": "Sentence 1: Operator, could you connect me to the Raffles in Singapore? Sentence 2: The local train does not connect with the Amtrak train. Word: connect", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3461": { "input": "Sentence 1: The Academy of Music. Sentence 2: The French Academy. Word: academy", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3462": { "input": "Sentence 1: The head of a comet. Sentence 2: She gave great head. Word: head", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3463": { "input": "Sentence 1: Change per unit volume. Sentence 2: The dollar is the United States unit of currency. Word: unit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3464": { "input": "Sentence 1: Rustle cattle. Sentence 2: The dry leaves were rustling in the breeze. Word: rustle", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3465": { "input": "Sentence 1: Hold one's nose. Sentence 2: I hold with those who say life is sacred. Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3466": { "input": "Sentence 1: They were pleased about their move to the country. Sentence 2: The move into my fiancé's house took two long days. Word: move", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3467": { "input": "Sentence 1: I'm leaving work early because I have a doctor's appointment. Sentence 2: He erred by the appointment of unsuitable men. Word: appointment", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3468": { "input": "Sentence 1: Ditch a plane. Sentence 2: Ditch a lover. Word: ditch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3469": { "input": "Sentence 1: The world economy had a rough patch in the 1930s. Sentence 2: Doesn't that patch of clouds looks like a bunny? Word: patch", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3470": { "input": "Sentence 1: Set a broken bone. Sentence 2: The moon sets at eight o'clock tonight. Word: set", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3471": { "input": "Sentence 1: Defense against hurricanes is an urgent problem. Sentence 2: He joined the defense against invasion. Word: defense", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3472": { "input": "Sentence 1: If I had my way. Sentence 2: Come this way and I'll show you a shortcut. Word: way", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3473": { "input": "Sentence 1: What do you get when you add up these numbers? Sentence 2: Let's get down to work now. Word: get", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3474": { "input": "Sentence 1: I spread the rice grains evenly over the floor. Sentence 2: He spread fertilizer over the lawn. Word: spread", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3475": { "input": "Sentence 1: Strike a match. Sentence 2: The teacher struck the child. Word: strike", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3476": { "input": "Sentence 1: The howl of the wind made him restless. Sentence 2: He gave a howl of pain. Word: howl", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3477": { "input": "Sentence 1: I shall be writing to you soon. Sentence 2: The dog was drowned by the boy. Word: be", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3478": { "input": "Sentence 1: Spin silk. Sentence 2: The creek spun its course through the woods. Word: spin", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3479": { "input": "Sentence 1: Wear one's hair in a certain way. Sentence 2: He always wears a smile. Word: wear", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3480": { "input": "Sentence 1: In the day of the dinosaurs. Sentence 2: In the days of sailing ships. Word: day", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3481": { "input": "Sentence 1: Train the vine. Sentence 2: She is training to be a teacher. Word: train", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3482": { "input": "Sentence 1: I can only stay for an hour. Sentence 2: The judge stayed the execution order. Word: stay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3483": { "input": "Sentence 1: Didn't know the way home. Sentence 2: It's a long way to Moscow. Word: way", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3484": { "input": "Sentence 1: A wall of water. Sentence 2: Negotiations ran into a brick wall. Word: wall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3485": { "input": "Sentence 1: He was on the heavy side. Sentence 2: A cube has six sides. Word: side", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3486": { "input": "Sentence 1: His conclusion took the evidence into account. Sentence 2: In conclusion I want to say ... Word: conclusion", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3487": { "input": "Sentence 1: The policy so far is all stick and no carrot. Sentence 2: Fever left him weak on his sticks. Word: stick", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3488": { "input": "Sentence 1: You anger too easily. Sentence 2: He angers easily. Word: anger", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3489": { "input": "Sentence 1: He lost all feeling in his arm. Sentence 2: He had terrible feelings of guilt. Word: feeling", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3490": { "input": "Sentence 1: The old house served as a dwelling for Albert. Sentence 2: Philip's dwelling fronted on the street. -- Alfred Tennyson. Word: dwelling", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3491": { "input": "Sentence 1: It was a fight to the finish. Sentence 2: Booze will be the finish of him. Word: finish", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3492": { "input": "Sentence 1: Please focus on your studies and not on your hobbies. Sentence 2: We focused on reading the book. Word: focus", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3493": { "input": "Sentence 1: The whole school turned out for the game. Sentence 2: The school keeps parents informed. Word: school", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3494": { "input": "Sentence 1: Hold these truths to be self-evident. Sentence 2: About a dozen animals were held inside the stockade. Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3495": { "input": "Sentence 1: We offer seafood as the first course. Sentence 2: He took a course in basket weaving. Word: course", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3496": { "input": "Sentence 1: A dedicated line. Sentence 2: I can't follow your line of reasoning. Word: line", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3497": { "input": "Sentence 1: Bear a heavy load. Sentence 2: Bearing orders. Word: bear", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3498": { "input": "Sentence 1: A sunburnt complexion. Sentence 2: A liberal political complexion. Word: complexion", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3499": { "input": "Sentence 1: Matters came to a head yesterday. Sentence 2: The head of the column advanced boldly. Word: head", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3500": { "input": "Sentence 1: Break a record. Sentence 2: Voices broke in the air. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3501": { "input": "Sentence 1: There has been talk about you lately. Sentence 2: I attended an interesting talk on local history. Word: talk", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3502": { "input": "Sentence 1: Puncture a tire. Sentence 2: The tire punctured. Word: puncture", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3503": { "input": "Sentence 1: She loves to ride her new motorcycle through town. Sentence 2: The child rode on his mother's hips. Word: ride", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3504": { "input": "Sentence 1: You never lift a finger to help me! Sentence 2: Lift an embargo. Word: lift", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3505": { "input": "Sentence 1: Play the stock market. Sentence 2: Play with her feelings. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3506": { "input": "Sentence 1: Check your luggage before boarding. Sentence 2: She checked for an instant and missed a step. Word: check", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3507": { "input": "Sentence 1: I mean no harm. Sentence 2: 'maison' means 'house' in French. Word: mean", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3508": { "input": "Sentence 1: Pump bullets into the dummy. Sentence 2: The athlete pumps weights in the gym. Word: pump", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3509": { "input": "Sentence 1: We'll get them! Sentence 2: He got his arm broken in the scuffle. Word: get", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3510": { "input": "Sentence 1: He won the prize for best costume. Sentence 2: We wore gorilla costumes to the party. Word: costume", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3511": { "input": "Sentence 1: We beat the competition. Sentence 2: Agassi beat Becker in the tennis championship. Word: beat", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3512": { "input": "Sentence 1: There is a lovely little church in the valley. Sentence 2: The church was empty. Word: church", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3513": { "input": "Sentence 1: Close with the enemy. Sentence 2: Close the door. Word: close", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3514": { "input": "Sentence 1: I made the students feel different about themselves. Sentence 2: He felt his flesh crawl. Word: feel", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3515": { "input": "Sentence 1: Spoke a good word in his friend's behalf. Sentence 2: In your behalf. Word: behalf", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3516": { "input": "Sentence 1: A wall of prejudice. Sentence 2: A wall of water. Word: wall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3517": { "input": "Sentence 1: She doesn't know this composer. Sentence 2: We know this movie. Word: know", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3518": { "input": "Sentence 1: The essay contained too much detail. Sentence 2: A detail was sent to remove the fallen trees. Word: detail", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3519": { "input": "Sentence 1: The washing machine won't go unless it's plugged in. Sentence 2: Her face went red with anger. Word: go", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3520": { "input": "Sentence 1: She can not conduct modern pieces. Sentence 2: Bernstein conducted Mahler like no other conductor. Word: conduct", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3521": { "input": "Sentence 1: Raise a mutiny. Sentence 2: Raise the roof. Word: raise", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3522": { "input": "Sentence 1: A unit of wheat is a bushel. Sentence 2: Change per unit volume. Word: unit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3523": { "input": "Sentence 1: Simply an identity element if both are true. Sentence 2: It was too dark to determine his identity. Word: identity", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3524": { "input": "Sentence 1: Show me where the business was today. Sentence 2: Business has been slow lately. Word: business", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3525": { "input": "Sentence 1: Extract information from the telegram. Sentence 2: Extract a bad tooth. Word: extract", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3526": { "input": "Sentence 1: I hold him personally responsible. Sentence 2: Hold these truths to be self-evident. Word: hold", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3527": { "input": "Sentence 1: A ball of mud caught him on the shoulder. Sentence 2: The children were playing ball in the garden. Word: ball", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3528": { "input": "Sentence 1: It just won't make much difference to me. Sentence 2: His support made a real difference. Word: difference", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3529": { "input": "Sentence 1: Loss of blood is an important cause of shock. Sentence 2: Electricians get accustomed to occasional shocks. Word: shock", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3530": { "input": "Sentence 1: The key to development is economic integration. Sentence 2: They were carrying two keys of heroin. Word: key", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3531": { "input": "Sentence 1: Smell out corruption. Sentence 2: I smell trouble. Word: smell", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3532": { "input": "Sentence 1: I try to avoid the company of gamblers. Sentence 2: He avoided going to the area. Word: avoid", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3533": { "input": "Sentence 1: Pressurize a space suit. Sentence 2: The airplane cabin is pressurized. Word: pressurize", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3534": { "input": "Sentence 1: A mental case. Sentence 2: The musicians left their instrument cases backstage. Word: case", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3535": { "input": "Sentence 1: We serve meals for the homeless. Sentence 2: The President's wisdom has served the country well. Word: serve", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3536": { "input": "Sentence 1: Come into contact with a terrorist group. Sentence 2: Winter comes after autumn. Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3537": { "input": "Sentence 1: The story is false, so far as I can discover. Sentence 2: I discovered how she did it. Word: discover", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3538": { "input": "Sentence 1: The soft metal works well. Sentence 2: He used pliers to work the wire into shape. Word: work", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3539": { "input": "Sentence 1: My day began early this morning. Sentence 2: She called it a day and went to bed. Word: day", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3540": { "input": "Sentence 1: Oil field. Sentence 2: He longed for the fields of his youth. Word: field", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3541": { "input": "Sentence 1: I carry her image in my mind's eye. Sentence 2: The senator carried his home state. Word: carry", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3542": { "input": "Sentence 1: Break a branch from a tree. Sentence 2: The business partners broke over a tax question. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3543": { "input": "Sentence 1: She'll make a fine president. Sentence 2: He will make a splendid father! Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3544": { "input": "Sentence 1: Does my policy cover accidental loss? Sentence 2: The insurance won't cover this. Word: cover", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3545": { "input": "Sentence 1: Drive the game. Sentence 2: She finally drove him to change jobs. Word: drive", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3546": { "input": "Sentence 1: Standing on the corner watching all the girls go by. Sentence 2: In many corners of the world they still practice slavery. Word: corner", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3547": { "input": "Sentence 1: Pull the string gently. Sentence 2: Pull the trigger of the gun. Word: pull", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3548": { "input": "Sentence 1: I can feel the sadness in his poems. Sentence 2: She felt an object brushing her arm. Word: feel", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3549": { "input": "Sentence 1: Her church group has planned an adoption shower. Sentence 2: He took a shower after the game. Word: shower", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3550": { "input": "Sentence 1: People turn to mysticism at the turn of a millennium. Sentence 2: The pedophile turned to boys for satisfaction. Word: turn", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3551": { "input": "Sentence 1: A candy sampler. Sentence 2: A sampler of French poets. Word: sampler", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3552": { "input": "Sentence 1: The Times is not the voice of New York. Sentence 2: The voice of the law. Word: voice", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3553": { "input": "Sentence 1: He hit her hard in the face. Sentence 2: He hit a home run. Word: hit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3554": { "input": "Sentence 1: They developed a scheme of mutual support. Sentence 2: The government provides support to the arts in several ways. Word: support", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3555": { "input": "Sentence 1: The passing of winter. Sentence 2: His future depended on his passing that test. Word: passing", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3556": { "input": "Sentence 1: She preferred the black nylon number. Sentence 2: This sweater is an all-wool number. Word: number", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3557": { "input": "Sentence 1: A drop of each sample was analyzed. Sentence 2: There was a drop in pressure in the pulmonary artery. Word: drop", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3558": { "input": "Sentence 1: Work equals force times distance. Sentence 2: He arrived at work early today. Word: work", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3559": { "input": "Sentence 1: The store is huge, occupying an entire city block. Sentence 2: He reserved a large block of seats. Word: block", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3560": { "input": "Sentence 1: The barber did a real job on my hair. Sentence 2: Dry rot did the job of destroying the barn. Word: job", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3561": { "input": "Sentence 1: Give one's talents to a good cause. Sentence 2: Can you give me lessons? Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3562": { "input": "Sentence 1: Dress a turkey. Sentence 2: Dress the patient. Word: dress", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3563": { "input": "Sentence 1: A broad movement of the electorate to the right. Sentence 2: He was a charter member of the movement. Word: movement", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3564": { "input": "Sentence 1: She used a different color for the trim. Sentence 2: Each flavor of quarks comes in three colors. Word: color", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3565": { "input": "Sentence 1: I think she is pretty, contrary to most people. Sentence 2: I think he is very smart. Word: think", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3566": { "input": "Sentence 1: He got a tip on the stock market. Sentence 2: They clambered to the tip of Monadnock. Word: tip", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3567": { "input": "Sentence 1: I love hearing the song of canary birds. Sentence 2: The song of the wind. Word: song", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3568": { "input": "Sentence 1: Cure cement. Sentence 2: Cure resin. Word: cure", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3569": { "input": "Sentence 1: Did you get it? Sentence 2: What did you get at the toy store? Word: get", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3570": { "input": "Sentence 1: Pay up, please! Sentence 2: It pays to go through the trouble. Word: pay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3571": { "input": "Sentence 1: Events now in process. Sentence 2: The process of thinking. Word: process", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3572": { "input": "Sentence 1: These two surfaces osculate. Sentence 2: One curve osculates the other. Word: osculate", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3573": { "input": "Sentence 1: We live in a litigious age. Sentence 2: The Bronze Age was followed by the Iron Age. Word: age", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3574": { "input": "Sentence 1: I'm going for a dip before breakfast. Sentence 2: This onion dip is just scrumptious. Word: dip", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3575": { "input": "Sentence 1: I resent having to carry her all the time. Sentence 2: The painting of Mary carries motherly love. Word: carry", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3576": { "input": "Sentence 1: The children were playing ball in the garden. Sentence 2: He played with his rubber ball in the bathtub. Word: ball", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3577": { "input": "Sentence 1: The fields vegetate vigorously. Sentence 2: The bacterial growth vegetated along. Word: vegetate", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3578": { "input": "Sentence 1: She made a copy of the designer dress. Sentence 2: The clone was a copy of its ancestor. Word: copy", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3579": { "input": "Sentence 1: Break a branch from a tree. Sentence 2: The twig broke off the branch. Word: break", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3580": { "input": "Sentence 1: She made the boy brush his teeth every night. Sentence 2: The baby was a boy. Word: boy", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3581": { "input": "Sentence 1: Can you connect the two loudspeakers? Sentence 2: These computers connected well together. Word: connect", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3582": { "input": "Sentence 1: Skill is the product of hours of practice. Sentence 2: His reaction was the product of hunger and fatigue. Word: product", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3583": { "input": "Sentence 1: The house was filled with company when I arrived. Sentence 2: Keep the house clean; I have company coming. Word: company", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3584": { "input": "Sentence 1: Don't lie to your parents. Sentence 2: The book lies on the table. Word: lie", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3585": { "input": "Sentence 1: This ticket will admit one adult to the show. Sentence 2: This pipe admits air. Word: admit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3586": { "input": "Sentence 1: The pictures were at the same level. Sentence 2: Park the car on the level. Word: level", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3587": { "input": "Sentence 1: They were soon out of view. Sentence 2: Consider what follows from the positivist view. Word: view", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3588": { "input": "Sentence 1: I'll offset the time difference locally. Sentence 2: To offset one charge against another. Word: offset", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3589": { "input": "Sentence 1: To draw a memorial, a deed, or bill of exchange. Sentence 2: The deed was drawn in the lawyer's office. Word: draw", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3590": { "input": "Sentence 1: I have two sisters. Sentence 2: The dog down the street has a lax owner. Word: have", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3591": { "input": "Sentence 1: The Holocaust was insanity on an enormous scale. Sentence 2: The scale of the map. Word: scale", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3592": { "input": "Sentence 1: Does she pay you for the work you are doing? Sentence 2: Pay attention. Word: pay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3593": { "input": "Sentence 1: Play water from a hose. Sentence 2: Pele played for the Brazilian teams in many important matches. Word: play", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3594": { "input": "Sentence 1: The trunk was full of stuff. Sentence 2: What is all that stuff on your bedroom floor? Word: stuff", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3595": { "input": "Sentence 1: Kill the engine. Sentence 2: She was killed in the collision of three cars. Word: kill", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3596": { "input": "Sentence 1: We hiked through the Andes mountain range. Sentence 2: The plains lay just beyond the mountain range. Word: range", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3597": { "input": "Sentence 1: How does your idea work in practice? Sentence 2: The voting process doesn't work as well as people thought. Word: work", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3598": { "input": "Sentence 1: Turn the car around. Sentence 2: Turn your face to the wall. Word: turn", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3599": { "input": "Sentence 1: Screen a film. Sentence 2: Screen these samples. Word: screen", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3600": { "input": "Sentence 1: A fit of coughing. Sentence 2: I admired the fit of her coat. Word: fit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3601": { "input": "Sentence 1: We should make Cincinnati by 7 tonight. Sentence 2: She was made president of the club. Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3602": { "input": "Sentence 1: I shall be writing to you soon. Sentence 2: There were two hundred people at his funeral. Word: be", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3603": { "input": "Sentence 1: The beer had a large head of foam. Sentence 2: The head of the compass needle is pointing due north. Word: head", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3604": { "input": "Sentence 1: Keep my seat, please. Sentence 2: Keep my job for me while I give birth. Word: keep", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3605": { "input": "Sentence 1: Get someone mad. Sentence 2: He got AIDS. Word: get", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3606": { "input": "Sentence 1: Skill is the product of hours of practice. Sentence 2: Skill is the product of hours of practice. Word: product", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3607": { "input": "Sentence 1: He deserves a good kick in the butt. Sentence 2: Get your butt to the car. Word: butt", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3608": { "input": "Sentence 1: The ship will call in Honolulu tomorrow. Sentence 2: A transmitter in Samoa was heard calling. Word: call", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3609": { "input": "Sentence 1: A place in my heart. Sentence 2: He has a special place in my thoughts. Word: place", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3610": { "input": "Sentence 1: The accusative case canonically indicates a direct object. Sentence 2: The teaching consists of theory lessons and case studies. Word: case", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3611": { "input": "Sentence 1: Pay up, please! Sentence 2: She offered to pay the bill. Word: pay", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3612": { "input": "Sentence 1: She was granted leave to speak. Sentence 2: He took his leave. Word: leave", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3613": { "input": "Sentence 1: Drive a car or bus. Sentence 2: My new truck drives well. Word: drive", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3614": { "input": "Sentence 1: You really have to empathize with their doing it. Sentence 2: You really have to empathize with them. Word: empathize", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3615": { "input": "Sentence 1: The moon's disk hung in a cloudless sky. Sentence 2: Venus' disk cut off light from the Sun. Word: disk", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3616": { "input": "Sentence 1: Play cards. Sentence 2: He plays on three teams. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3617": { "input": "Sentence 1: It just won't make much difference to me. Sentence 2: The difference in her is amazing. Word: difference", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3618": { "input": "Sentence 1: Shuck oysters. Sentence 2: Shall we shuck walnuts? Word: shuck", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3619": { "input": "Sentence 1: It was a fight to the finish. Sentence 2: He applied a coat of a clear finish. Word: finish", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3620": { "input": "Sentence 1: The fabric of our lives. Sentence 2: It is part of the fabric of society. Word: fabric", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3621": { "input": "Sentence 1: I take aspirin every day to thin my blood. Sentence 2: I don't take sugar in my coffee. Word: take", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3622": { "input": "Sentence 1: I'll offset the time difference locally. Sentence 2: Offset deposits and withdrawals. Word: offset", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3623": { "input": "Sentence 1: They have two more years before they retire. Sentence 2: I have two years left. Word: have", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3624": { "input": "Sentence 1: A man of action. Sentence 2: The piano had a very stiff action. Word: action", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3625": { "input": "Sentence 1: My broker recommended a greater diversification of my investments. Sentence 2: He limited his losses by diversification of his product line. Word: diversification", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3626": { "input": "Sentence 1: He cashed a check at the bank. Sentence 2: He tried to break the bank at Monte Carlo. Word: bank", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3627": { "input": "Sentence 1: He removed the top of the carton. Sentence 2: The mower cuts off the tops of the grass. Word: top", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3628": { "input": "Sentence 1: Pound the roots with a heavy flat stone. Sentence 2: The salesman pounded the door knocker. Word: pound", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3629": { "input": "Sentence 1: The operator couldn't get Kobe because of the earthquake. Sentence 2: What did you get at the toy store? Word: get", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3630": { "input": "Sentence 1: The collar has a tab with a button hole. Sentence 2: The filing cards were organized by cards having indexed tabs. Word: tab", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3631": { "input": "Sentence 1: Some actresses have more than one face lift. Sentence 2: Take the lift to the fourth floor. Word: lift", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3632": { "input": "Sentence 1: Conquer your fears. Sentence 2: Conquer a country. Word: conquer", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3633": { "input": "Sentence 1: This sweater is an all-wool number. Sentence 2: It was one of the best numbers he ever did. Word: number", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3634": { "input": "Sentence 1: This unpleasant situation isn't going to work itself out. Sentence 2: The salesman works the Midwest. Word: work", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3635": { "input": "Sentence 1: A bit of lint. Sentence 2: The horse was not accustomed to a bit. Word: bit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3636": { "input": "Sentence 1: These pipes carry waste water into the river. Sentence 2: This train is carrying nuclear waste. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3637": { "input": "Sentence 1: Let the dogs run free. Sentence 2: She runs around telling everyone of her troubles. Word: run", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3638": { "input": "Sentence 1: The police monitor the suspect's moves. Sentence 2: We are monitoring the air quality. Word: monitor", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3639": { "input": "Sentence 1: See you another time. Sentence 2: He called four times. Word: time", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3640": { "input": "Sentence 1: Use your head! Sentence 2: He doesn't know how to use a computer. Word: use", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3641": { "input": "Sentence 1: We congratulated him on his performance at the rehearsal. Sentence 2: The frequent performances of the symphony testify to its popularity. Word: performance", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3642": { "input": "Sentence 1: You can not get water out of a stone. Sentence 2: We'll get them! Word: get", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3643": { "input": "Sentence 1: The crowded canvas of history. Sentence 2: The boxer picked himself up off the canvas. Word: canvas", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3644": { "input": "Sentence 1: The pull up the hill had him breathing harder. Sentence 2: The pull of the moon. Word: pull", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3645": { "input": "Sentence 1: He has a sinister smile. Sentence 2: He always puts a smile on my face. Word: smile", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3646": { "input": "Sentence 1: Turn the clay on the wheel. Sentence 2: She turned to her relatives for help. Word: turn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3647": { "input": "Sentence 1: To say the same thing in other terms. Sentence 2: She has a thing about him. Word: thing", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3648": { "input": "Sentence 1: The country set. Sentence 2: The smart set goes there. Word: set", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3649": { "input": "Sentence 1: An angry face. Sentence 2: Why the sad face? Word: face", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3650": { "input": "Sentence 1: When bending the elbow the biceps are the agonist. Sentence 2: When bending the elbow the biceps are the agonist. Word: agonist", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3651": { "input": "Sentence 1: Today's panel includes John Smith. Sentence 2: He checked the instrument panel. Word: panel", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3652": { "input": "Sentence 1: Many children join a sports club. Sentence 2: He joined the Communist Party as a young man. Word: join", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3653": { "input": "Sentence 1: We used a poison to kill the weeds. Sentence 2: The poison of fascism. Word: poison", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3654": { "input": "Sentence 1: An interesting idea hit her. Sentence 2: He hit a home run. Word: hit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3655": { "input": "Sentence 1: The question of seniority will be discussed at the meeting. Sentence 2: There was a question of which material to use. Word: question", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3656": { "input": "Sentence 1: He turned the box over to examine the bottom side. Sentence 2: They painted all four sides of the house. Word: side", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3657": { "input": "Sentence 1: Negotiations ran into a brick wall. Sentence 2: A wall of prejudice. Word: wall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3658": { "input": "Sentence 1: Fall by the wayside. Sentence 2: To fall a tree. Word: fall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3659": { "input": "Sentence 1: I shall be writing to you soon. Sentence 2: I would drive you, were I to obtain a car. Word: be", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3660": { "input": "Sentence 1: I still owe for the car. Sentence 2: The thesis owes much to his adviser. Word: owe", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3661": { "input": "Sentence 1: Trim lumber. Sentence 2: Trim an airplane. Word: trim", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3662": { "input": "Sentence 1: A four-month stay in bankruptcy court. Sentence 2: A lengthy hospital stay. Word: stay", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3663": { "input": "Sentence 1: Throw a shoe. Sentence 2: Throw a glance. Word: throw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3664": { "input": "Sentence 1: The coach cut two players from the team. Sentence 2: Wayne cut. Word: cut", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3665": { "input": "Sentence 1: Their nomadic mode of existence. Sentence 2: Switched from keyboard to voice mode. Word: mode", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3666": { "input": "Sentence 1: The object of my affection. Sentence 2: Objects of thought. Word: object", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3667": { "input": "Sentence 1: Time stops for nobody. Sentence 2: He called four times. Word: time", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3668": { "input": "Sentence 1: The washing machine won't go unless it's plugged in. Sentence 2: These ugly billboards have to go! Word: go", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3669": { "input": "Sentence 1: Extend my greetings. Sentence 2: Extend the loan. Word: extend", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3670": { "input": "Sentence 1: The base of the lamp. Sentence 2: The base of the skull. Word: base", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3671": { "input": "Sentence 1: The rumor had its origin in idle gossip. Sentence 2: Vegetable origins. Word: origin", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3672": { "input": "Sentence 1: I can only stay for an hour. Sentence 2: The smell stayed in the room. Word: stay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3673": { "input": "Sentence 1: The film is set in Africa. Sentence 2: Set the dogs on the scent of the missing children. Word: set", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3674": { "input": "Sentence 1: Strike fire from the flintstone. Sentence 2: The boxer struck the attacker dead. Word: strike", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3675": { "input": "Sentence 1: The resistance of bacteria to certain antibiotics. Sentence 2: Widespread resistance to the new urban development plans. Word: resistance", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3676": { "input": "Sentence 1: Levy a fine. Sentence 2: To levy a tax. Word: levy", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3677": { "input": "Sentence 1: He was arrested on a charge of larceny. Sentence 2: The child was a charge of the nanny. Word: charge", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3678": { "input": "Sentence 1: You have no right to go through my personal diary. Sentence 2: He stood on the right. Word: right", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3679": { "input": "Sentence 1: In return we gave them as good as we got. Sentence 2: A return to one's question. Word: return", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3680": { "input": "Sentence 1: Nobody can break out -- this prison is high security. Sentence 2: Three inmates broke jail. Word: break", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3681": { "input": "Sentence 1: He slipped through an opening in the crowd. Sentence 2: A salamander darted out of an opening in the rocks. Word: opening", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3682": { "input": "Sentence 1: When will the meeting be? Sentence 2: I am 75 kilograms. Word: be", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3683": { "input": "Sentence 1: Draw the shades. Sentence 2: The ship drew near the shore. Word: draw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3684": { "input": "Sentence 1: There was a note of gaiety in her manner. Sentence 2: His notes were appended at the end of the article. Word: note", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3685": { "input": "Sentence 1: They had too much furniture for the small apartment. Sentence 2: A chair is furniture. Sofas are also furniture. Word: furniture", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3686": { "input": "Sentence 1: People did not accept atonal music at that time. Sentence 2: We accept the idea of universal health care. Word: accept", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3687": { "input": "Sentence 1: We need to finalise the deal with Henderson by midnight. Sentence 2: It was a package deal. Word: deal", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3688": { "input": "Sentence 1: My daughter's fancy wedding is going to break me! Sentence 2: He broke the glass plate. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3689": { "input": "Sentence 1: Ply your wits! Sentence 2: He plied his trade as carpenter for forty-three years. Word: ply", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3690": { "input": "Sentence 1: Is the direction of the economy a function of government? Sentence 2: He gave directions faster than she could follow them. Word: direction", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3691": { "input": "Sentence 1: A drain on resources. Sentence 2: A drain of young talent by emigration. Word: drain", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3692": { "input": "Sentence 1: They sailed south around the point. Sentence 2: A row of points. Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3693": { "input": "Sentence 1: It brought out his better side. Sentence 2: The patient was bleeding on the right side. Word: side", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3694": { "input": "Sentence 1: But there is always the famous example of the Smiths. Sentence 2: I profited from his example. Word: example", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3695": { "input": "Sentence 1: Where do you stand on the War? Sentence 2: Standing water. Word: stand", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3696": { "input": "Sentence 1: The wall had a smooth texture. Sentence 2: The beans had a grainy, gritty texture in her mouth. Word: texture", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3697": { "input": "Sentence 1: He put flowers on his mother's grave. Sentence 2: He went to his grave without forgiving me. Word: grave", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3698": { "input": "Sentence 1: There was not a scrap left. Sentence 2: She jotted it on a scrap of paper. Word: scrap", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3699": { "input": "Sentence 1: To make like a deer caught in the headlights. Sentence 2: They made nice together, as if their fight never happened. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3700": { "input": "Sentence 1: He walked to school every morning. Sentence 2: A school of small glittering fish swam by. Word: school", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3701": { "input": "Sentence 1: Drop a hint. Sentence 2: Shop til you drop. Word: drop", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3702": { "input": "Sentence 1: Admission is three dollars a head. Sentence 2: Tickets are $5 per head. Word: head", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3703": { "input": "Sentence 1: Pull a bank robbery. Sentence 2: Pull a chicken. Word: pull", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3704": { "input": "Sentence 1: I drive to work every day. Sentence 2: Drive a golf ball. Word: drive", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3705": { "input": "Sentence 1: An important piece of the evidence. Sentence 2: He wrote an interesting piece on Iran. Word: piece", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3706": { "input": "Sentence 1: Don't lie to your parents. Sentence 2: The snow lies on the roof. Word: lie", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3707": { "input": "Sentence 1: A stick of wood. Sentence 2: The recipe calls for half a stick of butter. Word: stick", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3708": { "input": "Sentence 1: Order ruled in the streets. Sentence 2: The machinery is out of order. Word: order", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3709": { "input": "Sentence 1: We stayed in Hawaii for a week. Sentence 2: The judge stayed the execution order. Word: stay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3710": { "input": "Sentence 1: Drop him from the Republican ticket. Sentence 2: She dropped into army jargon. Word: drop", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3711": { "input": "Sentence 1: We like to walk every Sunday. Sentence 2: We must walk with our dispossessed brothers and sisters. Word: walk", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3712": { "input": "Sentence 1: The truck overturned while carrying a full load of oil. Sentence 2: The system broke down under excessive loads. Word: load", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3713": { "input": "Sentence 1: This table would serve very well. Sentence 2: They serve a restricted role on the bench. Word: serve", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3714": { "input": "Sentence 1: A set of teeth. Sentence 2: A set of books. Word: set", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3715": { "input": "Sentence 1: Ditch a plane. Sentence 2: Ditch a car. Word: ditch", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3716": { "input": "Sentence 1: This invention will make you a millionaire. Sentence 2: Make yourself clear. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3717": { "input": "Sentence 1: I'll take that plate off the table. Sentence 2: Take these letters to the boss. Word: take", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3718": { "input": "Sentence 1: Drive the forest. Sentence 2: What are you driving at? Word: drive", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3719": { "input": "Sentence 1: Polish your social manners. Sentence 2: He polished up the chrome until it gleamed. Word: polish", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3720": { "input": "Sentence 1: To move in a matter. Sentence 2: Come on guys, let's move: there's work to do! Word: move", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3721": { "input": "Sentence 1: The battery had a short life. Sentence 2: He lived a long and happy life. Word: life", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3722": { "input": "Sentence 1: I spread the rice grains evenly over the floor. Sentence 2: The rumor spread. Word: spread", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3723": { "input": "Sentence 1: He could not work the math problem. Sentence 2: Work one's way through the crowd. Word: work", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3724": { "input": "Sentence 1: The world of insects. Sentence 2: The outdoor world. Word: world", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3725": { "input": "Sentence 1: It was his area of specialization. Sentence 2: Areas of interest include ... Word: area", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3726": { "input": "Sentence 1: Make an effort. Sentence 2: Make love, not war. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3727": { "input": "Sentence 1: The ball travelled 90 mph on his serve. Sentence 2: The mayor threw out the first ball. Word: ball", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3728": { "input": "Sentence 1: They divorced after the birth of the child. Sentence 2: His election signaled the birth of a new age. Word: birth", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3729": { "input": "Sentence 1: You don't look your age! Sentence 2: This project looks fishy. Word: look", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3730": { "input": "Sentence 1: Hit the bottle. Sentence 2: He hit a home run. Word: hit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3731": { "input": "Sentence 1: Check the brakes. Sentence 2: Check the growth of communism in South East Asia. Word: check", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3732": { "input": "Sentence 1: Your place or mine? Sentence 2: If you were in my place what would you do? Word: place", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3733": { "input": "Sentence 1: Can we extend the legs of this dining table? Sentence 2: Extend the TV antenna. Word: extend", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3734": { "input": "Sentence 1: Drink was his downfall. Sentence 2: I'd like another drink please. Word: drink", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3735": { "input": "Sentence 1: The girls were playing in the court. Sentence 2: The house was built around an inner court. Word: court", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3736": { "input": "Sentence 1: She cut the deck for a long time. Sentence 2: Soap cuts grease. Word: cut", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3737": { "input": "Sentence 1: Insiders said the company's stock was in play. Sentence 2: The play of light on the water. Word: play", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3738": { "input": "Sentence 1: He finally got his big break. Sentence 2: It was presented without commercial breaks. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3739": { "input": "Sentence 1: My neighbour is very irritable and grumpy at times. Sentence 2: They're our neighbours across the street. Word: neighbour", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3740": { "input": "Sentence 1: Stretch the imagination. Sentence 2: To enjoy the picnic, we stretched out on the grass. Word: stretch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3741": { "input": "Sentence 1: Cut grain. Sentence 2: Cut a disk. Word: cut", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3742": { "input": "Sentence 1: I can't follow your line of reasoning. Sentence 2: Toe the line. Word: line", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3743": { "input": "Sentence 1: Change per unit volume. Sentence 2: He was a member of a special police unit. Word: unit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3744": { "input": "Sentence 1: The French doors give onto a terrace. Sentence 2: Give a course. Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3745": { "input": "Sentence 1: These bonds carry warrants. Sentence 2: This undertaking carries many dangers. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3746": { "input": "Sentence 1: Draw water from a well. Sentence 2: Draw parallels. Word: draw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3747": { "input": "Sentence 1: Can you wash away the spots on the windows? Sentence 2: The swollen river washed away the footbridge. Word: wash", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3748": { "input": "Sentence 1: Truck fresh vegetables across the mountains. Sentence 2: Amanda trucked the package to her mother's house from Philadelphia. Word: truck", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3749": { "input": "Sentence 1: It's your turn; go. Sentence 2: The gun went \"bang\". Word: go", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3750": { "input": "Sentence 1: Play safe. Sentence 2: Play it safe. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3751": { "input": "Sentence 1: We were hit by really bad weather. Sentence 2: He hit a home run. Word: hit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3752": { "input": "Sentence 1: Shakespeare's production of poetry was enormous. Sentence 2: The production of white blood cells. Word: production", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3753": { "input": "Sentence 1: Set the table. Sentence 2: Set the tray down. Word: set", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3754": { "input": "Sentence 1: They say he gives good head. Sentence 2: 200 head of cattle and 50 head of horses. Word: head", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3755": { "input": "Sentence 1: He tried to strangle his opponent. Sentence 2: He strangled his wife and dissolved the body in acid. Word: strangle", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3756": { "input": "Sentence 1: They served beer on draft. Sentence 2: He left the country to avoid the draft. Word: draft", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3757": { "input": "Sentence 1: Make a mess in one's office. Sentence 2: She'll make a fine president. Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3758": { "input": "Sentence 1: What does the law say? Sentence 2: She said her 'Hail Mary'. Word: say", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3759": { "input": "Sentence 1: Drive the cows into the barn. Sentence 2: Drive the ball far out into the field. Word: drive", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3760": { "input": "Sentence 1: The key to winning a game. Sentence 2: They were carrying two keys of heroin. Word: key", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3761": { "input": "Sentence 1: She wants to leave. Sentence 2: He left the Senate after two terms. Word: leave", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3762": { "input": "Sentence 1: Can you see the bird in that tree? Sentence 2: I saw him laughing. Word: see", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3763": { "input": "Sentence 1: His instructions deliberately gave them the wrong set. Sentence 2: A set of tools. Word: set", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3764": { "input": "Sentence 1: Cut trenches. Sentence 2: Cut a hole. Word: cut", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3765": { "input": "Sentence 1: Write your name in the space provided. Sentence 2: It all happened in the space of 10 minutes. Word: space", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3766": { "input": "Sentence 1: A ceremony commemorating Pearl Harbor. Sentence 2: He disposed of it without ceremony. Word: ceremony", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3767": { "input": "Sentence 1: Give the orders. Sentence 2: The French doors give onto a terrace. Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3768": { "input": "Sentence 1: His charge was deliver a message. Sentence 2: The charges against the estate. Word: charge", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3769": { "input": "Sentence 1: A heroic figure. Sentence 2: He cut a fine figure. Word: figure", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3770": { "input": "Sentence 1: It brought out his better side. Sentence 2: The Confederate side was prepared to attack. Word: side", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3771": { "input": "Sentence 1: An account of a battle. Sentence 2: He asked to see the executive who handled his account. Word: account", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3772": { "input": "Sentence 1: To pay attention. Sentence 2: She had to pay the penalty for speaking out rashly. Word: pay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3773": { "input": "Sentence 1: Do you take me for a fool? Sentence 2: You can't take credit for this! Word: take", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3774": { "input": "Sentence 1: The head of the page. Sentence 2: A reduction in the assessment per head of sheep. Word: head", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3775": { "input": "Sentence 1: Art does not need to be innovative to be good. Sentence 2: It's quite an art. Word: art", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3776": { "input": "Sentence 1: He warned against the use of narcotic drugs. Sentence 2: Ballet is beautiful but what use is it? Word: use", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3777": { "input": "Sentence 1: Change per unit volume. Sentence 2: The centimetre is a unit of length. Word: unit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3778": { "input": "Sentence 1: They set out on their return to the base camp. Sentence 2: The average return was about 5%. Word: return", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3779": { "input": "Sentence 1: They had a fierce wrestle. Sentence 2: We watched his grappling and wrestling with the bully. Word: wrestle", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3780": { "input": "Sentence 1: The pull of the current. Sentence 2: Iron fillings drawn by the pull of a magnet. Word: pull", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3781": { "input": "Sentence 1: The \"war on terror\" is a campaign against terrorist crime. Sentence 2: In the US, conservatives rail against the \"war on Christmas\". Word: war", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3782": { "input": "Sentence 1: To execute a difficult piece of music brilliantly. Sentence 2: The skater executed a triple pirouette. Word: execute", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3783": { "input": "Sentence 1: While there's life there's hope. Sentence 2: He gave up on life. Word: life", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3784": { "input": "Sentence 1: We had a wonderful time at the party. Sentence 2: I didn't have time to finish. Word: time", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3785": { "input": "Sentence 1: Mastering a second language requires a lot of work. Sentence 2: He arrived at work early today. Word: work", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3786": { "input": "Sentence 1: Uncork the French wine. Sentence 2: Uncork a bottle of wine. Word: uncork", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3787": { "input": "Sentence 1: His best finish in a major tournament was third. Sentence 2: It was a fight to the finish. Word: finish", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3788": { "input": "Sentence 1: Can you wash away the spots on the windows? Sentence 2: He washed the dirt from his coat. Word: wash", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3789": { "input": "Sentence 1: Your wish will come true. Sentence 2: Their anger came to a boil. Word: come", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3790": { "input": "Sentence 1: A shared line. Sentence 2: Please speak up, the line is very faint. Word: line", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3791": { "input": "Sentence 1: He was fighting to his last breath. Sentence 2: He took a deep breath and dived into the pool. Word: breath", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3792": { "input": "Sentence 1: Negotiations ran into a brick wall. Sentence 2: The walls of the cylinder were perforated. Word: wall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3793": { "input": "Sentence 1: Can you connect the two loudspeakers? Sentence 2: Our computers connected. Word: connect", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3794": { "input": "Sentence 1: You should shower after vigorous exercise. Sentence 2: He showered her with presents. Word: shower", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3795": { "input": "Sentence 1: He hoped for a new life in Australia. Sentence 2: He could no longer cope with the complexities of life. Word: life", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3796": { "input": "Sentence 1: Pull a chicken. Sentence 2: The car pulls to the right. Word: pull", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3797": { "input": "Sentence 1: The prescription specified only one refill. Sentence 2: He got a refill of his prescription. Word: refill", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3798": { "input": "Sentence 1: May the force be with you. Sentence 2: The forces of evil. Word: force", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3799": { "input": "Sentence 1: Tea has fragrant white flowers. Sentence 2: Iced tea is a cooling drink. Word: tea", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3800": { "input": "Sentence 1: Set up an experiment. Sentence 2: The moon sets at eight o'clock tonight. Word: set", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3801": { "input": "Sentence 1: Mount an attack. Sentence 2: Mount a theater production. Word: mount", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3802": { "input": "Sentence 1: The patter of mice. Sentence 2: The patter of tiny feet. Word: patter", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3803": { "input": "Sentence 1: He has a house on Cape Cod. Sentence 2: This is my house and my family's ancestral home. Word: house", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3804": { "input": "Sentence 1: We can use this mathematical formula to solve the problem. Sentence 2: We only use Spanish at home. Word: use", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3805": { "input": "Sentence 1: To wander over the fields. Sentence 2: Jews were wandering. Word: wander", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3806": { "input": "Sentence 1: Diversify your financial portfolio to hedge price risks. Sentence 2: Hedge your bets. Word: hedge", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3807": { "input": "Sentence 1: He danced hypnotically while she beat the atabaque. Sentence 2: Reading beats watching television. Word: beat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3808": { "input": "Sentence 1: Make my day. Sentence 2: Make revolution. Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3809": { "input": "Sentence 1: A unit of wheat is a bushel. Sentence 2: Units of nucleic acids. Word: unit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3810": { "input": "Sentence 1: Throw a shoe. Sentence 2: She threw herself forwards. Word: throw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3811": { "input": "Sentence 1: Fall into a strange way of thinking. Sentence 2: Fall prey to an imposter. Word: fall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3812": { "input": "Sentence 1: Do you want to come over to my place later? Sentence 2: Your place or mine? Word: place", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3813": { "input": "Sentence 1: Cover the grave with flowers. Sentence 2: The insurance won't cover this. Word: cover", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3814": { "input": "Sentence 1: Can you follow her argument? Sentence 2: She followed the men with the binoculars. Word: follow", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3815": { "input": "Sentence 1: The reason that war was declared. Sentence 2: They had good reason to rejoice. Word: reason", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3816": { "input": "Sentence 1: The practice of the law. Sentence 2: I took over his practice when he retired. Word: practice", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3817": { "input": "Sentence 1: A grain of sand. Sentence 2: Saw the board across the grain. Word: grain", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3818": { "input": "Sentence 1: Come this way and I'll show you a shortcut. Sentence 2: Do you know the way to the airport? Word: way", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3819": { "input": "Sentence 1: He did a stretch in the federal penitentiary. Sentence 2: There were stretches of boredom. Word: stretch", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3820": { "input": "Sentence 1: Play cards. Sentence 2: We played hockey all afternoon. Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3821": { "input": "Sentence 1: Beat a path through the forest. Sentence 2: Beat the rhythm. Word: beat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3822": { "input": "Sentence 1: Analyze a specimen. Sentence 2: Analyze a sentence. Word: analyze", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3823": { "input": "Sentence 1: Can you shed light on this problem? Sentence 2: He finally saw the light. Word: light", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3824": { "input": "Sentence 1: To line a copy book. Sentence 2: Line one's pockets. Word: line", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3825": { "input": "Sentence 1: The pregnancy was a stroke of bad luck. Sentence 2: She applied the paint in careful strokes. Word: stroke", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3826": { "input": "Sentence 1: He paused on the bottom step. Sentence 2: He walked with unsteady steps. Word: step", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3827": { "input": "Sentence 1: I asked for a hot drink. Sentence 2: Likes a drink before dinner. Word: drink", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3828": { "input": "Sentence 1: Rest assured. Sentence 2: The blame seems to rest with your father. Word: rest", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3829": { "input": "Sentence 1: They didn't follow our lead. Sentence 2: He takes the lead in any group. Word: lead", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3830": { "input": "Sentence 1: Flick a piece of paper across the table. Sentence 2: The lights flicked on and off. Word: flick", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3831": { "input": "Sentence 1: No thanks, I don't drink. Sentence 2: We were up drinking all night. Word: drink", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3832": { "input": "Sentence 1: He turned the box over to examine the bottom side. Sentence 2: A cube has six sides. Word: side", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3833": { "input": "Sentence 1: Women carrying home shopping didn't give me a second glance. Sentence 2: I carried three heavy bags of shopping up the stairs. Word: shopping", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3834": { "input": "Sentence 1: Shake one's head. Sentence 2: He was shaken from his dreams. Word: shake", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3835": { "input": "Sentence 1: Ms. Smith will represent the defendant. Sentence 2: Our parents represented to us the need for more caution. Word: represent", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3836": { "input": "Sentence 1: It is time to go. Sentence 2: These times were erroneously converted between zones. Word: time", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3837": { "input": "Sentence 1: When will the meeting be? Sentence 2: I have been to Spain many times. Word: be", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3838": { "input": "Sentence 1: Don't ride the clutch! Sentence 2: Did you ever ride a camel? Word: ride", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3839": { "input": "Sentence 1: A piano has a greater range than the human voice. Sentence 2: He answered a range of questions. Word: range", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3840": { "input": "Sentence 1: When will the meeting be? Sentence 2: The sky is blue. Word: be", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3841": { "input": "Sentence 1: He bought a book of stamps. Sentence 2: They run things by the book around here. Word: book", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3842": { "input": "Sentence 1: It brought out his better side. Sentence 2: Look on the bright side. Word: side", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3843": { "input": "Sentence 1: He had worked in construction all his life. Sentence 2: Their main business is home construction. Word: construction", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3844": { "input": "Sentence 1: He comes from a place near Chicago. Sentence 2: He lost his place on the page. Word: place", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3845": { "input": "Sentence 1: Turn cartwheels. Sentence 2: Turn the dial to 10. Word: turn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3846": { "input": "Sentence 1: It was great to feel my baby moving about inside. Sentence 2: I felt healthy and very feminine carrying the baby. Word: baby", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3847": { "input": "Sentence 1: Normalize the spelling. Sentence 2: Normalize the temperature. Word: normalize", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3848": { "input": "Sentence 1: I can not bear his constant criticism. Sentence 2: Bearing orders. Word: bear", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3849": { "input": "Sentence 1: Make advances. Sentence 2: Make a phone call. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3850": { "input": "Sentence 1: Payments fall on the 1st of the month. Sentence 2: The onus fell on us. Word: fall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3851": { "input": "Sentence 1: He must have a heart of stone. Sentence 2: A peach stone. Word: stone", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3852": { "input": "Sentence 1: A reduction in the assessment per head of sheep. Sentence 2: 200 head of cattle and 50 head of horses. Word: head", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3853": { "input": "Sentence 1: My computer is too old to run the new OS. Sentence 2: Run the dishwasher. Word: run", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3854": { "input": "Sentence 1: The class of all sets is not a set. Sentence 2: There are two classes of detergents. Word: class", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3855": { "input": "Sentence 1: Being in office already gives a candidate a great advantage. Sentence 2: The whole office was late the morning of the blizzard. Word: office", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3856": { "input": "Sentence 1: To hold true. Sentence 2: Hold that position behind the trees! Word: hold", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3857": { "input": "Sentence 1: The war against crime. Sentence 2: The \"war on terror\" is a campaign against terrorist crime. Word: war", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3858": { "input": "Sentence 1: Suffer a terrible fate. Sentence 2: His grades suffered. Word: suffer", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3859": { "input": "Sentence 1: To arouse anger. Sentence 2: To arouse jealousy. Word: arouse", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3860": { "input": "Sentence 1: Don't run that software unless you have permission. Sentence 2: Run the dishwasher. Word: run", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3861": { "input": "Sentence 1: A ranch hand. Sentence 2: Her hands are really strong. Word: hand", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3862": { "input": "Sentence 1: If the new teacher won't break, we'll add some stress. Sentence 2: The clouds broke after the heavy downpour. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3863": { "input": "Sentence 1: Shopping center. Sentence 2: The center fumbled the handoff. Word: center", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3864": { "input": "Sentence 1: Drive the forest. Sentence 2: We drove the car to the garage. Word: drive", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3865": { "input": "Sentence 1: Beg money and food. Sentence 2: Beg the point in the discussion. Word: beg", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3866": { "input": "Sentence 1: To raise a wall, or a heap of stones. Sentence 2: The President raised several million dollars for his college. Word: raise", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3867": { "input": "Sentence 1: This method doesn't work. Sentence 2: How does your idea work in practice? Word: work", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3868": { "input": "Sentence 1: Air pollution. Sentence 2: A smell of chemicals in the air. Word: air", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3869": { "input": "Sentence 1: Her speech was barren of southernisms. Sentence 2: I detected a slight accent in his speech. Word: speech", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3870": { "input": "Sentence 1: The court is now in session. Sentence 2: The girls were playing in the court. Word: court", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3871": { "input": "Sentence 1: He watched the house burn. Sentence 2: Maple wood burns well. Word: burn", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3872": { "input": "Sentence 1: Spread information. Sentence 2: The missionaries quickly spread their new message across the country. Word: spread", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3873": { "input": "Sentence 1: His back was to the wall. Sentence 2: The container's walls were blue. Word: wall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3874": { "input": "Sentence 1: She wiped lipstick from her mouth. Sentence 2: The jar had a wide mouth. Word: mouth", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3875": { "input": "Sentence 1: The old house served as a dwelling for Albert. Sentence 2: He built a modest dwelling near the pond. Word: dwelling", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3876": { "input": "Sentence 1: She lost all respect for him. Sentence 2: Be sure to give my respects to the dean. Word: respect", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3877": { "input": "Sentence 1: Authority for the program was renewed several times. Sentence 2: He is an authority on corporate law. Word: authority", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3878": { "input": "Sentence 1: Flood the market with tennis shoes. Sentence 2: The images flooded his mind. Word: flood", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3879": { "input": "Sentence 1: Take steps. Sentence 2: Take action. Word: take", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3880": { "input": "Sentence 1: Break the code. Sentence 2: Break a branch from a tree. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3881": { "input": "Sentence 1: Her hair doesn't grow much anymore. Sentence 2: Corn doesn't grow here. Word: grow", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3882": { "input": "Sentence 1: Take two aspirin and call me in the morning. Sentence 2: I tried to call you all night. Word: call", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3883": { "input": "Sentence 1: After the battle the soldier had trouble rejoining his unit. Sentence 2: The coach said the offensive unit did a good job. Word: unit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3884": { "input": "Sentence 1: Precious stones occur in a large area in Brazil. Sentence 2: Sexism occurs in many workplaces. Word: occur", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3885": { "input": "Sentence 1: Leave the young fawn alone. Sentence 2: Unfortunately, this cleaning product leaves behind a noticeable residue. Word: leave", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3886": { "input": "Sentence 1: A hook-and-ladder company. Sentence 2: It took six companies to put out the fire. Word: company", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3887": { "input": "Sentence 1: Give a course. Sentence 2: The draft gave me a cold. Word: give", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3888": { "input": "Sentence 1: The Lord Mayor's procession. Sentence 2: Processions were forbidden. Word: procession", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3889": { "input": "Sentence 1: Make a phone call. Sentence 2: They make a cute couple. Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3890": { "input": "Sentence 1: Do you take me for a fool? Sentence 2: How should I take this message? Word: take", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3891": { "input": "Sentence 1: The king will visit the duke's court. Sentence 2: Pay court to the emperor. Word: court", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3892": { "input": "Sentence 1: Leave the flowers that you see in the park behind. Sentence 2: Unfortunately, this cleaning product leaves behind a noticeable residue. Word: leave", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3893": { "input": "Sentence 1: I ride to work in a bus. Sentence 2: Ship rides at anchor. Word: ride", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3894": { "input": "Sentence 1: The truth is that he didn't want to do it. Sentence 2: At last he knew the truth. Word: truth", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3895": { "input": "Sentence 1: To set glass in a sash. Sentence 2: To set a precious stone in a border of metal. Word: set", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3896": { "input": "Sentence 1: He had a drop too much to drink. Sentence 2: There is not a drop of pity in that man. Word: drop", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3897": { "input": "Sentence 1: Hardly enough elbow room to turn around. Sentence 2: There wasn't that much elbow room in the aircraft. Word: room", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3898": { "input": "Sentence 1: The relative security of the gay ghetto. Sentence 2: No escape from the ghetto of the typing pool. Word: ghetto", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3899": { "input": "Sentence 1: The fabric of our lives. Sentence 2: The fabric of the universe. Word: fabric", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3900": { "input": "Sentence 1: If the vase falls to the floor, it might break. Sentence 2: The flat plain was broken by tall mesas. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3901": { "input": "Sentence 1: Track a missile. Sentence 2: I tracked prints. Word: track", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3902": { "input": "Sentence 1: Can you drive this four-wheel truck? Sentence 2: Drive the game. Word: drive", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3903": { "input": "Sentence 1: Allow for mistakes. Sentence 2: The evidence allows only one conclusion. Word: allow", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3904": { "input": "Sentence 1: He enjoyed selling but he hated the travel. Sentence 2: Travel to Spain. Word: travel", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3905": { "input": "Sentence 1: Lift potatoes. Sentence 2: Lift my spirits. Word: lift", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3906": { "input": "Sentence 1: The operator couldn't get Kobe because of the earthquake. Sentence 2: Let's get down to work now. Word: get", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3907": { "input": "Sentence 1: It was a sturdy table. Sentence 2: He entertained the whole table with his witty remarks. Word: table", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3908": { "input": "Sentence 1: The question of disease merits serious discussion. Sentence 2: There was a question of which material to use. Word: question", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3909": { "input": "Sentence 1: They sat down to talk business. Sentence 2: We talk French sometimes. Word: talk", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3910": { "input": "Sentence 1: Do you want to come over to my place later? Sentence 2: He lost his place on the page. Word: place", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3911": { "input": "Sentence 1: She sat on the edge of the bed. Sentence 2: The water's edge. Word: edge", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3912": { "input": "Sentence 1: The queen of ocean liners. Sentence 2: Paris is the queen of cities. Word: queen", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3913": { "input": "Sentence 1: Shake one's head. Sentence 2: She shook her finger at the naughty students. Word: shake", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3914": { "input": "Sentence 1: Catch the mood. Sentence 2: Don't catch your meaning. Word: catch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3915": { "input": "Sentence 1: Grate one's teeth in anger. Sentence 2: To grate a window. Word: grate", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3916": { "input": "Sentence 1: The catcher made a good throw to second base. Sentence 2: He couldn't afford $50 a throw. Word: throw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3917": { "input": "Sentence 1: Fall into a strange way of thinking. Sentence 2: Fall asleep. Word: fall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3918": { "input": "Sentence 1: Take vengeance. Sentence 2: Take steps. Word: take", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3919": { "input": "Sentence 1: The movie demanded a dramatic canvas of sound. Sentence 2: The boxer picked himself up off the canvas. Word: canvas", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3920": { "input": "Sentence 1: To electrify a jar. Sentence 2: This patriotic sentiment electrified the audience. Word: electrify", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3921": { "input": "Sentence 1: He could not touch the meaning of the poem. Sentence 2: They stood next to each other, their shoulders touching. Word: touch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3922": { "input": "Sentence 1: Mailed an indignant letter to the editor. Sentence 2: A blood letter. Word: letter", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3923": { "input": "Sentence 1: There is strength in union. Sentence 2: The Soviet Union. Word: union", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3924": { "input": "Sentence 1: I didn't mean to knock your tooth out. Sentence 2: I only meant to help you. Word: mean", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3925": { "input": "Sentence 1: Potatoes bake to a crisp. Sentence 2: She's been baking all day to prepare for the dinner. Word: bake", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3926": { "input": "Sentence 1: Messages must go through diplomatic channels. Sentence 2: Get going! Word: go", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3927": { "input": "Sentence 1: He asked the waiter for the check. Sentence 2: The tablecloth had red and white checks. Word: check", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3928": { "input": "Sentence 1: His state of health. Sentence 2: The current state of knowledge. Word: state", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3929": { "input": "Sentence 1: Do you know the way to the airport? Sentence 2: He said he was looking for the way out. Word: way", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3930": { "input": "Sentence 1: We had to dress quickly. Sentence 2: Marlene dressed the baby. Word: dress", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3931": { "input": "Sentence 1: He put all his efforts into this job. Sentence 2: Put these words to music. Word: put", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3932": { "input": "Sentence 1: I need to charge my car battery. Sentence 2: He came charging into my office. Word: charge", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3933": { "input": "Sentence 1: He watched the house burn. Sentence 2: The sun burned his face. Word: burn", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3934": { "input": "Sentence 1: This play will either make or break the playwright. Sentence 2: The figurine broke. Word: break", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3935": { "input": "Sentence 1: Dig salt. Sentence 2: Dig out a channel. Word: dig", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3936": { "input": "Sentence 1: Al Smith used to say, 'Let's look at the record'. Sentence 2: His name is in all the record books. Word: record", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3937": { "input": "Sentence 1: The police are following a promising lead. Sentence 2: We were just waiting for someone to take the lead. Word: lead", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3938": { "input": "Sentence 1: Toe the line. Sentence 2: A washing line. Word: line", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3939": { "input": "Sentence 1: Strike a bargain. Sentence 2: We must strike the enemy's oil fields. Word: strike", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3940": { "input": "Sentence 1: His daily run keeps him fit. Sentence 2: Running is good exercise. Word: run", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3941": { "input": "Sentence 1: He drew a line on the chart. Sentence 2: His face has many lines. Word: line", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3942": { "input": "Sentence 1: Deliver the mail. Sentence 2: The guard delivered the criminal to the police. Word: deliver", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3943": { "input": "Sentence 1: Fall into a strange way of thinking. Sentence 2: She fell to pieces after she lost her work. Word: fall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3944": { "input": "Sentence 1: He is the very model of a modern major general. Sentence 2: A model of clarity. Word: model", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3945": { "input": "Sentence 1: His date never stopped talking. Sentence 2: We haven't heard from them to date. Word: date", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3946": { "input": "Sentence 1: A wave of settlers. Sentence 2: Troops advancing in waves. Word: wave", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3947": { "input": "Sentence 1: He rode into the mouth of the canyon. Sentence 2: She wiped lipstick from her mouth. Word: mouth", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3948": { "input": "Sentence 1: Sand of a fine grain. Sentence 2: A stone of coarse grain. Word: grain", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3949": { "input": "Sentence 1: The sound awakened them. Sentence 2: Puget Sound. Word: sound", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3950": { "input": "Sentence 1: We should meet at a pre-arranged point. Sentence 2: They sailed south around the point. Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3951": { "input": "Sentence 1: Introduce exotic fruits. Sentence 2: Introduce legislation. Word: introduce", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3952": { "input": "Sentence 1: That's the size of the situation. Sentence 2: A wolf is about the size of a large dog. Word: size", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3953": { "input": "Sentence 1: He always puts a smile on my face. Sentence 2: She's got a perfect smile. Word: smile", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3954": { "input": "Sentence 1: Play cards. Sentence 2: Who's playing now? Word: play", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3955": { "input": "Sentence 1: His hand was illegible. Sentence 2: A good hand. Word: hand", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3956": { "input": "Sentence 1: To charge high for goods. Sentence 2: Will I get charged for this service? Word: charge", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3957": { "input": "Sentence 1: He came to a bad end. Sentence 2: The so-called glorious experiment came to an inglorious end. Word: end", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3958": { "input": "Sentence 1: Draw a conclusion. Sentence 2: Draw a line. Word: draw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3959": { "input": "Sentence 1: He operated a bank of switches. Sentence 2: A huge bank of earth. Word: bank", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3960": { "input": "Sentence 1: The heart and soul of the Republican Party. Sentence 2: They ran forward into the heart of the struggle. Word: heart", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3961": { "input": "Sentence 1: If I had my way. Sentence 2: A lonely way of life. Word: way", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3962": { "input": "Sentence 1: An indication of foul play. Sentence 2: Indications of strain. Word: indication", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3963": { "input": "Sentence 1: Stick the corner of the sheet under the mattress. Sentence 2: This question really stuck me. Word: stick", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3964": { "input": "Sentence 1: To admit a serious thought into the mind. Sentence 2: To admit evidence in the trial of a cause. Word: admit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3965": { "input": "Sentence 1: We carry a very large mortgage. Sentence 2: His efforts carried the entire project. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3966": { "input": "Sentence 1: It's rude to point at other people. Sentence 2: The dancers toes pointed outward. Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3967": { "input": "Sentence 1: Get nauseous. Sentence 2: The cat got the goldfish. Word: get", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3968": { "input": "Sentence 1: There is a narrow line between sanity and insanity. Sentence 2: Toe the line. Word: line", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3969": { "input": "Sentence 1: He tried to sing the tenor part. Sentence 2: His part was right in the middle. Word: part", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3970": { "input": "Sentence 1: Fall into a trap. Sentence 2: Fall in love. Word: fall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3971": { "input": "Sentence 1: The company operated at a loss last year. Sentence 2: A serious loss of business. Word: loss", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3972": { "input": "Sentence 1: He could no longer cope with the complexities of life. Sentence 2: He lived a long and happy life. Word: life", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3973": { "input": "Sentence 1: From cradle to grave. Sentence 2: He went to his grave without forgiving me. Word: grave", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3974": { "input": "Sentence 1: Bear a resemblance. Sentence 2: Bear a signature. Word: bear", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3975": { "input": "Sentence 1: Swing back. Sentence 2: Swing forward. Word: swing", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3976": { "input": "Sentence 1: Don't run that software unless you have permission. Sentence 2: The dogs are running deer. Word: run", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3977": { "input": "Sentence 1: A municipal office. Sentence 2: He rented an office in the new building. Word: office", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3978": { "input": "Sentence 1: If the vase falls to the floor, it might break. Sentence 2: He broke the glass plate. Word: break", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3979": { "input": "Sentence 1: The annual report has been my baby since September. Sentence 2: This project is his baby. Word: baby", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3980": { "input": "Sentence 1: There's little to earn and many to keep. Sentence 2: Where do you keep your gardening tools? Word: keep", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3981": { "input": "Sentence 1: Fall into a trap. Sentence 2: Fall prey to an imposter. Word: fall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3982": { "input": "Sentence 1: Can you connect the two loudspeakers? Sentence 2: Our computers connected together. Word: connect", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3983": { "input": "Sentence 1: A good lead for a job. Sentence 2: They didn't follow our lead. Word: lead", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3984": { "input": "Sentence 1: You can't do that in a university setting. Sentence 2: The perfect setting for a ghost story. Word: setting", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3985": { "input": "Sentence 1: We can not admit non-members into our club building. Sentence 2: They were admitted into his house. Word: admit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3986": { "input": "Sentence 1: He tries to hit on women in bars. Sentence 2: He hit a home run. Word: hit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3987": { "input": "Sentence 1: He cut a fine figure. Sentence 2: He cut a sorry figure standing there in the rain. Word: figure", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3988": { "input": "Sentence 1: To start a business. Sentence 2: Start a new job. Word: start", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3989": { "input": "Sentence 1: At what time does your train leave? Sentence 2: The ship leaves at midnight. Word: leave", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3990": { "input": "Sentence 1: I give you credit for owning up to your mistake. Sentence 2: Give her credit for trying. Word: credit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3991": { "input": "Sentence 1: Traffic on the internet is lightest during the night. Sentence 2: Heavy traffic overloaded the trunk lines. Word: traffic", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3992": { "input": "Sentence 1: I need to rest for a piece. Sentence 2: He needed a piece of granite. Word: piece", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3993": { "input": "Sentence 1: The feeling is difficult to describe, but not unpleasant. Sentence 2: He described what we should do. Word: describe", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3994": { "input": "Sentence 1: Dig coal. Sentence 2: Dig out a channel. Word: dig", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3995": { "input": "Sentence 1: Make water into wine. Sentence 2: Make lead into gold. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3996": { "input": "Sentence 1: He came to a bad end. Sentence 2: No one wanted to play end. Word: end", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3997": { "input": "Sentence 1: Play the casinos in Trouville. Sentence 2: Play the stock market. Word: play", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "3998": { "input": "Sentence 1: We took a 10-minute break. Sentence 2: Let's take a five-minute break. Word: break", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "3999": { "input": "Sentence 1: He bought some reading material at the airport. Sentence 2: He has a job meter reading for the gas company. Word: reading", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4000": { "input": "Sentence 1: An occasion arranged to honor the president. Sentence 2: There was no occasion for complaint. Word: occasion", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4001": { "input": "Sentence 1: You reek of perfume. Sentence 2: Marshes reeking in the sun. Word: reek", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4002": { "input": "Sentence 1: Have, throw, or make a party. Sentence 2: Throw a shoe. Word: throw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4003": { "input": "Sentence 1: He tried to crystallize his thoughts. Sentence 2: My ideas crystallized overnight. Word: crystallize", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4004": { "input": "Sentence 1: Give a yelp. Sentence 2: Give a gulp. Word: give", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4005": { "input": "Sentence 1: Gold field. Sentence 2: He longed for the fields of his youth. Word: field", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4006": { "input": "Sentence 1: The baby of the family. Sentence 2: The baby of the Supreme Court. Word: baby", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4007": { "input": "Sentence 1: Answer the telephone. Sentence 2: Answer the door. Word: answer", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4008": { "input": "Sentence 1: He had a number of chores to do. Sentence 2: It was one of the best numbers he ever did. Word: number", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4009": { "input": "Sentence 1: That acorn will grow into an oak tree. Sentence 2: The gardener grew that acorn into an oak tree. Word: grow", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4010": { "input": "Sentence 1: Halt the presses. Sentence 2: Halt the engines. Word: halt", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4011": { "input": "Sentence 1: Files with a red tab will be stored separately. Sentence 2: The filing cards were organized by cards having indexed tabs. Word: tab", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4012": { "input": "Sentence 1: To start a rumour. Sentence 2: Start a new job. Word: start", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4013": { "input": "Sentence 1: His parting shot was 'drop dead'. Sentence 2: A good shot requires good balance and tempo. Word: shot", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4014": { "input": "Sentence 1: I take it you're not going? Sentence 2: You can't take credit for this! Word: take", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4015": { "input": "Sentence 1: It brought out his better side. Sentence 2: They always sat on the right side of the church. Word: side", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4016": { "input": "Sentence 1: I couldn't shake the car that was following me. Sentence 2: The bad news shook her hopes. Word: shake", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4017": { "input": "Sentence 1: Alternately relax and tense your calf muscle. Sentence 2: The bodybuilder's neck muscles tensed. Word: tense", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4018": { "input": "Sentence 1: Room to pass. Sentence 2: Hardly enough elbow room to turn around. Word: room", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4019": { "input": "Sentence 1: I'll take a pound of that sausage. Sentence 2: She took up her position behind the tree. Word: take", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4020": { "input": "Sentence 1: Throw the car into reverse. Sentence 2: Have, throw, or make a party. Word: throw", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4021": { "input": "Sentence 1: They were beaten by a more aggressive team. Sentence 2: Beat the egg whites. Word: beat", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4022": { "input": "Sentence 1: A CPU is a component of a computer. Sentence 2: Spare components for cars. Word: component", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4023": { "input": "Sentence 1: She knows how to work the system. Sentence 2: He works his parents for sympathy. Word: work", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4024": { "input": "Sentence 1: Cover her face with a handkerchief. Sentence 2: The female covers the eggs. Word: cover", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4025": { "input": "Sentence 1: This will permit the rain to run off. Sentence 2: She permitted her son to visit her estranged husband. Word: permit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4026": { "input": "Sentence 1: Where am I going to get my next hit? Sentence 2: After three misses she finally got a hit. Word: hit", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4027": { "input": "Sentence 1: Did you get it? Sentence 2: She didn't get the joke. Word: get", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4028": { "input": "Sentence 1: Cut the skin with the point of the knife. Sentence 2: He broke the point of his pencil. Word: point", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4029": { "input": "Sentence 1: I can not work a miracle. Sentence 2: His fingers worked with tension. Word: work", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4030": { "input": "Sentence 1: These bonds carry warrants. Sentence 2: She carries her ideas to the extreme. Word: carry", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4031": { "input": "Sentence 1: He earned his degree at Princeton summa cum laude. Sentence 2: There are 360 degrees in a circle. Word: degree", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4032": { "input": "Sentence 1: The word is a basic linguistic unit. Sentence 2: He was a member of a special police unit. Word: unit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4033": { "input": "Sentence 1: Fall prey to an imposter. Sentence 2: The line of men fall forward. Word: fall", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4034": { "input": "Sentence 1: To militate against the possibility of his election. Sentence 2: Politeness militated against this opinion being expressed. Word: militate", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4035": { "input": "Sentence 1: He has just made his first sale. Sentence 2: They had to complete the sale before the banks closed. Word: sale", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4036": { "input": "Sentence 1: I see that you have been promoted. Sentence 2: We had to see a psychiatrist. Word: see", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4037": { "input": "Sentence 1: Candidates must compete in a trial of skill. Sentence 2: The trials for the semifinals began yesterday. Word: trial", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4038": { "input": "Sentence 1: He is blind -- he can not see. Sentence 2: I saw him laughing. Word: see", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4039": { "input": "Sentence 1: Design a better mousetrap. Sentence 2: She designed to go far in the world of business. Word: design", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4040": { "input": "Sentence 1: Please develop this roll of film for me. Sentence 2: Please develop this roll of film. Word: develop", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4041": { "input": "Sentence 1: Pull one's horse to a stand. Sentence 2: Pull the ball. Word: pull", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4042": { "input": "Sentence 1: I don't care what he does. Sentence 2: We cared about the opera. Word: care", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4043": { "input": "Sentence 1: He gave a howl of pain. Sentence 2: Howls of laughter. Word: howl", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4044": { "input": "Sentence 1: Did you two break the trolley by racing with it? Sentence 2: On the hottest day of the year the refrigerator broke. Word: break", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4045": { "input": "Sentence 1: Dress the patient. Sentence 2: Can the child dress by herself? Word: dress", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4046": { "input": "Sentence 1: He was cut down on a close play at third. Sentence 2: A simple harmony written in major thirds. Word: third", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4047": { "input": "Sentence 1: The harmonic series has been much studied. Sentence 2: They were investigating a series of bank robberies. Word: series", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4048": { "input": "Sentence 1: Don't lie to your parents. Sentence 2: He lies in his coffin. Word: lie", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4049": { "input": "Sentence 1: We need an entreaty to stop the hostilities. Sentence 2: An entreaty to stop the fighting. Word: entreaty", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4050": { "input": "Sentence 1: We know this movie. Sentence 2: Adam knew Eve. Word: know", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4051": { "input": "Sentence 1: Fall into a trap. Sentence 2: Fall asleep. Word: fall", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4052": { "input": "Sentence 1: Inhibit the action of the enzyme. Sentence 2: Inhibit the rate of a chemical reaction. Word: inhibit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4053": { "input": "Sentence 1: The child was a charge of the nanny. Sentence 2: The teacher led her charges across the street. Word: charge", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4054": { "input": "Sentence 1: Render the town to the enemy. Sentence 2: Render up the prisoners. Word: render", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4055": { "input": "Sentence 1: Lift a ban. Sentence 2: I lifted the books onto the table. Word: lift", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4056": { "input": "Sentence 1: Top the evening with champagne. Sentence 2: Top and tail the carrots. Word: top", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4057": { "input": "Sentence 1: Why did I ever believe you? Sentence 2: She believes in spirits. Word: believe", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4058": { "input": "Sentence 1: He works for the United States mail service. Sentence 2: The mail handles billions of items every day. Word: mail", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4059": { "input": "Sentence 1: That acorn will grow into an oak tree. Sentence 2: An oak tree will grow from that acorn. Word: grow", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4060": { "input": "Sentence 1: When will the meeting be? Sentence 2: We liked to chat while we were eating. Word: be", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4061": { "input": "Sentence 1: Make a phone call. Sentence 2: Make a decision. Word: make", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4062": { "input": "Sentence 1: This invention will make you a millionaire. Sentence 2: This wool makes into a nice sweater. Word: make", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4063": { "input": "Sentence 1: To admit evidence in the trial of a cause. Sentence 2: A ticket admits one into a playhouse. Word: admit", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4064": { "input": "Sentence 1: She gave great head. Sentence 2: They say he gives good head. Word: head", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4065": { "input": "Sentence 1: Everyone hopes for a better tomorrow. Sentence 2: Tomorrow's world. Word: tomorrow", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4066": { "input": "Sentence 1: Cut recording tape. Sentence 2: Cut from one scene to another. Word: cut", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4067": { "input": "Sentence 1: Go to the supermarket and buy some tea. Sentence 2: Tea has fragrant white flowers. Word: tea", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4068": { "input": "Sentence 1: For fools rush in where angels fear to tread. Sentence 2: Tread grapes to make wine. Word: tread", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4069": { "input": "Sentence 1: They began to fight like fun. Sentence 2: She asked for money and then the fun began. Word: fun", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4070": { "input": "Sentence 1: Smooth the way towards peace negotiations. Sentence 2: Smooth the surface of the wood. Word: smooth", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4071": { "input": "Sentence 1: The gauge read 'empty'. Sentence 2: This dictionary can be read by the computer. Word: read", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4072": { "input": "Sentence 1: I carry these thoughts in the back of my head. Sentence 2: I carry a lot of life insurance. Word: carry", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4073": { "input": "Sentence 1: The team enjoyed a brief run of victories. Sentence 2: Yesterday we did a run of 12,000 units. Word: run", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4074": { "input": "Sentence 1: Here we enter the region of opinion. Sentence 2: The farming regions of France. Word: region", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4075": { "input": "Sentence 1: Can I charge this purchase? Sentence 2: The suspect was charged with murdering his wife. Word: charge", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4076": { "input": "Sentence 1: This led to an unfortunate chain of events. Sentence 2: A chain of ideas, one leading to the next. Word: chain", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4077": { "input": "Sentence 1: Catch one's breath. Sentence 2: I caught the hem of my dress in the brambles. Word: catch", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4078": { "input": "Sentence 1: You really have to empathize with them. Sentence 2: You've really got to empathize with what they want. Word: empathize", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4079": { "input": "Sentence 1: It will pay to wait. Sentence 2: He paid me 5000 pounds for the car. Word: pay", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4080": { "input": "Sentence 1: I know the feeling! Sentence 2: Have you ever known hunger? Word: know", "output": "same", "possible_outputs": [ "same", "yes", "true" ] }, "4081": { "input": "Sentence 1: Confidence is always borrowed, never owned. Sentence 2: After that failure he lost his confidence. Word: confidence", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4082": { "input": "Sentence 1: Messages must go through diplomatic channels. Sentence 2: The speech has to go through several more drafts. Word: go", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4083": { "input": "Sentence 1: The end of the year. Sentence 2: One end of the box was marked 'This side up'. Word: end", "output": "not the same", "possible_outputs": [ "not the same", "no", "false" ] }, "4084": { "input": "Sentence 1: Emotion caused a constriction of his throat. Sentence 2: He felt a constriction in her chest. Word: constriction", "output": "same", "possible_outputs": [ "same", "yes", "true" ] } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/induce/word_sorting.json ================================================ { "metadata": { "num_examples": 1420 }, "examples": { "1": { "input": "\nList: syndrome therefrom\n", "output": "syndrome therefrom" }, "2": { "input": "\nList: thrill splutter panicking scorch same dot prod obstetric malton onus drumhead delmarva barn embezzle it&t damp guru subsist entirety greene\n", "output": "barn damp delmarva dot drumhead embezzle entirety greene guru it&t malton obstetric onus panicking prod same scorch splutter subsist thrill" }, "3": { "input": "\nList: vegetate artillery harm fda doris prosody bainite incongruous monkey vivian\n", "output": "artillery bainite doris fda harm incongruous monkey prosody vegetate vivian" }, "4": { "input": "\nList: sioux fortescue purloin percept helmsman\n", "output": "fortescue helmsman percept purloin sioux" }, "5": { "input": "\nList: indifferent trainman bootlegging\n", "output": "bootlegging indifferent trainman" }, "6": { "input": "\nList: conference apparition ignore dutton layperson coupe superstitious westward turnoff messenger copra floruit primitive implement\n", "output": "apparition conference copra coupe dutton floruit ignore implement layperson messenger primitive superstitious turnoff westward" }, "7": { "input": "\nList: covalent spiderwort horowitz divisive spiritual cheshire affluent gideon quadrature julio peanut epsilon diagnostician grover folklore gothic salient\n", "output": "affluent cheshire covalent diagnostician divisive epsilon folklore gideon gothic grover horowitz julio peanut quadrature salient spiderwort spiritual" }, "8": { "input": "\nList: euclidean stonehenge hobby cloudy winsome invite thrifty fight majestic citrus surge scene\n", "output": "citrus cloudy euclidean fight hobby invite majestic scene stonehenge surge thrifty winsome" }, "9": { "input": "\nList: thunderclap swab built poland\n", "output": "built poland swab thunderclap" }, "10": { "input": "\nList: regret starlight wallboard cotyledon more pepperoni\n", "output": "cotyledon more pepperoni regret starlight wallboard" }, "11": { "input": "\nList: burley bela arapaho bacteria bock\n", "output": "arapaho bacteria bela bock burley" }, "12": { "input": "\nList: scrumptious sidereal thermal yakima siena gorky saxon scottish figural hydroxyl seventeen neapolitan rampage nerve grapple fate plainfield stooge knives allotted\n", "output": "allotted fate figural gorky grapple hydroxyl knives neapolitan nerve plainfield rampage saxon scottish scrumptious seventeen sidereal siena stooge thermal yakima" }, "13": { "input": "\nList: lucrative you've tunnel archery bride coquette polytypy barbudo radix arlen lockwood teem officious\n", "output": "archery arlen barbudo bride coquette lockwood lucrative officious polytypy radix teem tunnel you've" }, "14": { "input": "\nList: gentle boletus galveston aniline eddy fontainebleau wile scandalous skat sportsmen\n", "output": "aniline boletus eddy fontainebleau galveston gentle scandalous skat sportsmen wile" }, "15": { "input": "\nList: crowfoot scrupulous campfire contrast purgatory\n", "output": "campfire contrast crowfoot purgatory scrupulous" }, "16": { "input": "\nList: bare census intrinsic torch timeout infirm humility snagging exaltation patristic paregoric gnomon moth sorrowful manatee oblique stressful\n", "output": "bare census exaltation gnomon humility infirm intrinsic manatee moth oblique paregoric patristic snagging sorrowful stressful timeout torch" }, "17": { "input": "\nList: marlborough pyrotechnic filly grocer treadle transitive platelet deliver landau hotbox uncle siemens anger hessian gneiss convoy ninebark advent plat stapleton\n", "output": "advent anger convoy deliver filly gneiss grocer hessian hotbox landau marlborough ninebark plat platelet pyrotechnic siemens stapleton transitive treadle uncle" }, "18": { "input": "\nList: filamentous semaphore bulrush audacious xylophone sensate municipal harris intervenor battleground rubicund\n", "output": "audacious battleground bulrush filamentous harris intervenor municipal rubicund semaphore sensate xylophone" }, "19": { "input": "\nList: county quantify nail o'connell phony bauer poole venice accelerate nominee raisin putnam\n", "output": "accelerate bauer county nail nominee o'connell phony poole putnam quantify raisin venice" }, "20": { "input": "\nList: bituminous ami decadent knickerbocker exeter\n", "output": "ami bituminous decadent exeter knickerbocker" }, "21": { "input": "\nList: slurp raytheon gloucester\n", "output": "gloucester raytheon slurp" }, "22": { "input": "\nList: chlorate glidden incentive manatee spurt lavoisier judicatory\n", "output": "chlorate glidden incentive judicatory lavoisier manatee spurt" }, "23": { "input": "\nList: shouldn't lorenz runneth skintight plastisol swept coven etruscan disturb\n", "output": "coven disturb etruscan lorenz plastisol runneth shouldn't skintight swept" }, "24": { "input": "\nList: shreveport gamut berg multiplexor bluish puerto subliminal\n", "output": "berg bluish gamut multiplexor puerto shreveport subliminal" }, "25": { "input": "\nList: daffy hypothesis croupier dockyard household peccary triode minstrelsy nepotism sawtimber mantic info confess serenade summate silver duty loam mandate\n", "output": "confess croupier daffy dockyard duty household hypothesis info loam mandate mantic minstrelsy nepotism peccary sawtimber serenade silver summate triode" }, "26": { "input": "\nList: champ jigsaw acclaim pipeline exempt gadwall hypothalamus clothbound sensory lozenge hayes conclusion delirious dyestuff hood seashell commodity plentiful sarcastic teen\n", "output": "acclaim champ clothbound commodity conclusion delirious dyestuff exempt gadwall hayes hood hypothalamus jigsaw lozenge pipeline plentiful sarcastic seashell sensory teen" }, "27": { "input": "\nList: dynastic inflammable prick tristan vitiate tackle stagnate conglomerate nebulae phosphide\n", "output": "conglomerate dynastic inflammable nebulae phosphide prick stagnate tackle tristan vitiate" }, "28": { "input": "\nList: dateline jill langmuir pipette household\n", "output": "dateline household jill langmuir pipette" }, "29": { "input": "\nList: tip abo frond indistinguishable stockholder gasify passenger bonaventure armful oscillatory referential guiana pancreatic through embryology herman dictatorial cremate\n", "output": "abo armful bonaventure cremate dictatorial embryology frond gasify guiana herman indistinguishable oscillatory pancreatic passenger referential stockholder through tip" }, "30": { "input": "\nList: heterostructure bertrand careful wherewith libra eyelid feign southeastern paste snip\n", "output": "bertrand careful eyelid feign heterostructure libra paste snip southeastern wherewith" }, "31": { "input": "\nList: summand cure gloria tyke doubtful extoller entropy crackle procedural cottrell litigant bologna\n", "output": "bologna cottrell crackle cure doubtful entropy extoller gloria litigant procedural summand tyke" }, "32": { "input": "\nList: inflammation slump schiller jacqueline darkle piano fungi sojourn macaque joanne gobble boldface sst\n", "output": "boldface darkle fungi gobble inflammation jacqueline joanne macaque piano schiller slump sojourn sst" }, "33": { "input": "\nList: thunder phase geld\n", "output": "geld phase thunder" }, "34": { "input": "\nList: convair frighten citizen scrubby birdseed fateful soothe extensive trillion adonis southeastern stormy judaica trundle suppose contaminant\n", "output": "adonis birdseed citizen contaminant convair extensive fateful frighten judaica scrubby soothe southeastern stormy suppose trillion trundle" }, "35": { "input": "\nList: dulse kowalewski yew politician\n", "output": "dulse kowalewski politician yew" }, "36": { "input": "\nList: odessa dance formulae dietetic mantle cost huddle resplendent bolshevism proust warmth deadline progeny hesitant palace rackety judson foster belize thirdhand\n", "output": "belize bolshevism cost dance deadline dietetic formulae foster hesitant huddle judson mantle odessa palace progeny proust rackety resplendent thirdhand warmth" }, "37": { "input": "\nList: mohawk thebes supercilious celandine faith hostile harold diploma octavia\n", "output": "celandine diploma faith harold hostile mohawk octavia supercilious thebes" }, "38": { "input": "\nList: emission upon labour whim fairfax ride crepe prig accomplice az doff clatter circumcircle tea wheelbase pleura incantation choral viaduct lorry\n", "output": "accomplice az choral circumcircle clatter crepe doff emission fairfax incantation labour lorry pleura prig ride tea upon viaduct wheelbase whim" }, "39": { "input": "\nList: kenya beth\n", "output": "beth kenya" }, "40": { "input": "\nList: broaden envy\n", "output": "broaden envy" }, "41": { "input": "\nList: skinny sharon sudan earthy parentage hello inmate announce co clayton carp phonetic watson nimbus\n", "output": "announce carp clayton co earthy hello inmate nimbus parentage phonetic sharon skinny sudan watson" }, "42": { "input": "\nList: blutwurst horizon uranyl arraign portentous faber rancho peste glacier convenient inconspicuous\n", "output": "arraign blutwurst convenient faber glacier horizon inconspicuous peste portentous rancho uranyl" }, "43": { "input": "\nList: yeager bengal fettle\n", "output": "bengal fettle yeager" }, "44": { "input": "\nList: tuba synapse inaudible brewster tithing\n", "output": "brewster inaudible synapse tithing tuba" }, "45": { "input": "\nList: wintertime mobster ugh brown fleabane longish ipsilateral cortex hair diminutive trapezoidal guy richfield highfalutin borough foot delphinium cosec abstract\n", "output": "abstract borough brown cortex cosec delphinium diminutive fleabane foot guy hair highfalutin ipsilateral longish mobster richfield trapezoidal ugh wintertime" }, "46": { "input": "\nList: episode molybdenum schedule hen sparkman calabash marietta pedantic pounce vinaigrette berra\n", "output": "berra calabash episode hen marietta molybdenum pedantic pounce schedule sparkman vinaigrette" }, "47": { "input": "\nList: aberdeen swaziland sprightly analogue easel deciduous\n", "output": "aberdeen analogue deciduous easel sprightly swaziland" }, "48": { "input": "\nList: stephen amperage protocol crimea farther raillery tech insolent ping\n", "output": "amperage crimea farther insolent ping protocol raillery stephen tech" }, "49": { "input": "\nList: keller frame hippodrome bungle yolk anheuser prompt together spidery chaperon miterwort\n", "output": "anheuser bungle chaperon frame hippodrome keller miterwort prompt spidery together yolk" }, "50": { "input": "\nList: benchmark pilot reverie hatchet prorate wince machine loess stallion amphibious percentage redcoat baseplate sank assist wehr homecoming ell thoughtful\n", "output": "amphibious assist baseplate benchmark ell hatchet homecoming loess machine percentage pilot prorate redcoat reverie sank stallion thoughtful wehr wince" }, "51": { "input": "\nList: hat core sonnet discreet\n", "output": "core discreet hat sonnet" }, "52": { "input": "\nList: marimba retrofit alphabet birmingham philology fashion educate mechanic cantonese fond entourage\n", "output": "alphabet birmingham cantonese educate entourage fashion fond marimba mechanic philology retrofit" }, "53": { "input": "\nList: impede appliance pulitzer superior\n", "output": "appliance impede pulitzer superior" }, "54": { "input": "\nList: indicate quagmire predacious gut vantage marshal across smuggle flight directrix admixture\n", "output": "across admixture directrix flight gut indicate marshal predacious quagmire smuggle vantage" }, "55": { "input": "\nList: stitch steelmake indomitable wigging cubby sheaf pique thymine exotica good mental brake nick rajah lineage choose bunny drone chevalier\n", "output": "brake bunny chevalier choose cubby drone exotica good indomitable lineage mental nick pique rajah sheaf steelmake stitch thymine wigging" }, "56": { "input": "\nList: above prometheus broken coexist big dominate olive screw thirdhand irk\n", "output": "above big broken coexist dominate irk olive prometheus screw thirdhand" }, "57": { "input": "\nList: plebiscite colombo inviolate quagmire garry satanic magnanimity aeneas notoriety nevada foothold glycerine lucre tennyson type scription pompey softball spleenwort fox\n", "output": "aeneas colombo foothold fox garry glycerine inviolate lucre magnanimity nevada notoriety plebiscite pompey quagmire satanic scription softball spleenwort tennyson type" }, "58": { "input": "\nList: ow cubit upbring gullible awash inane gown bateau scottsdale auxin eutectic jurisprudential pirouette shockley nepenthe pussycat schwartz mistletoe travelogue\n", "output": "auxin awash bateau cubit eutectic gown gullible inane jurisprudential mistletoe nepenthe ow pirouette pussycat schwartz scottsdale shockley travelogue upbring" }, "59": { "input": "\nList: tipoff fructose coleus hurricane cite tularemia irreducible wier improbable whitetail vesper whereabout\n", "output": "cite coleus fructose hurricane improbable irreducible tipoff tularemia vesper whereabout whitetail wier" }, "60": { "input": "\nList: statutory feed spavin hecatomb pestle plume figural pasty giveth incense undulate middle blackstone tel obstinacy toothpaste hunt sinkhole\n", "output": "blackstone feed figural giveth hecatomb hunt incense middle obstinacy pasty pestle plume sinkhole spavin statutory tel toothpaste undulate" }, "61": { "input": "\nList: analyses timeshare blueback telephony usa falter credential erda geophysics fireproof den shibboleth swampland keynote porte stonewort testimonial augustine guitar meter\n", "output": "analyses augustine blueback credential den erda falter fireproof geophysics guitar keynote meter porte shibboleth stonewort swampland telephony testimonial timeshare usa" }, "62": { "input": "\nList: comet pincer snippet manley injun spokesperson hydrate heusen cocksure\n", "output": "cocksure comet heusen hydrate injun manley pincer snippet spokesperson" }, "63": { "input": "\nList: million boone chalcedony sinai satin genteel alternate charity olden\n", "output": "alternate boone chalcedony charity genteel million olden satin sinai" }, "64": { "input": "\nList: voluntary yucca limnology fabulous seventh cube willow kitakyushu sequel senescent bauble length\n", "output": "bauble cube fabulous kitakyushu length limnology senescent sequel seventh voluntary willow yucca" }, "65": { "input": "\nList: whale nevins puree pusey protein pullman benefice squeamish river improvise\n", "output": "benefice improvise nevins protein pullman puree pusey river squeamish whale" }, "66": { "input": "\nList: underclassmen pegging dale bartok goat martinson whoop badinage brunswick fraternity allele dar yourselves dun anthropocentric banish starkey morphemic monomer desolater\n", "output": "allele anthropocentric badinage banish bartok brunswick dale dar desolater dun fraternity goat martinson monomer morphemic pegging starkey underclassmen whoop yourselves" }, "67": { "input": "\nList: sortie neff nicodemus\n", "output": "neff nicodemus sortie" }, "68": { "input": "\nList: berniece bremsstrahlung hoe avalanche showroom goff dactylic befriend hurry housekeep lanka gilbertson posterior flick bong hereafter metazoan\n", "output": "avalanche befriend berniece bong bremsstrahlung dactylic flick gilbertson goff hereafter hoe housekeep hurry lanka metazoan posterior showroom" }, "69": { "input": "\nList: testy trench sin rheumatic shivery orphanage functor zorn butadiene spec racy heck flair snowball booby\n", "output": "booby butadiene flair functor heck orphanage racy rheumatic shivery sin snowball spec testy trench zorn" }, "70": { "input": "\nList: leatherback scald nikko megohm sojourn woodcarver antaeus hi caw daughter gloria terminal schroedinger magnesium raincoat helvetica devonshire\n", "output": "antaeus caw daughter devonshire gloria helvetica hi leatherback magnesium megohm nikko raincoat scald schroedinger sojourn terminal woodcarver" }, "71": { "input": "\nList: sound consternate tariff blest proximity quizzes xerxes buxton\n", "output": "blest buxton consternate proximity quizzes sound tariff xerxes" }, "72": { "input": "\nList: xylem neoclassic rest fortieth marshall wiley convey experiment whimper kudo decimate incautious z's\n", "output": "convey decimate experiment fortieth incautious kudo marshall neoclassic rest whimper wiley xylem z's" }, "73": { "input": "\nList: murk pvc singlet yeats muslim coachmen clergymen companion gazpacho embark pristine granular hobble fatten allot too niggle chauncey threefold coddington\n", "output": "allot chauncey clergymen coachmen coddington companion embark fatten gazpacho granular hobble murk muslim niggle pristine pvc singlet threefold too yeats" }, "74": { "input": "\nList: tiresome sweepstake introvert carport firewood\n", "output": "carport firewood introvert sweepstake tiresome" }, "75": { "input": "\nList: zinc coriolanus leather easternmost highwaymen scavenge musky cutlet synaptic creak heaven paula astigmat muscular godson boyish\n", "output": "astigmat boyish coriolanus creak cutlet easternmost godson heaven highwaymen leather muscular musky paula scavenge synaptic zinc" }, "76": { "input": "\nList: oblong bucolic whoosh\n", "output": "bucolic oblong whoosh" }, "77": { "input": "\nList: dew betelgeuse inexplainable snazzy tao stain meaty blue trail wash grossman lyre caudal epoch trailside char cyanide\n", "output": "betelgeuse blue caudal char cyanide dew epoch grossman inexplainable lyre meaty snazzy stain tao trail trailside wash" }, "78": { "input": "\nList: opinionate interior ebb seeable jurassic flatland mammary cardamom forthwith licensor landslide valkyrie cryptic bully insurmountable nassau\n", "output": "bully cardamom cryptic ebb flatland forthwith insurmountable interior jurassic landslide licensor mammary nassau opinionate seeable valkyrie" }, "79": { "input": "\nList: neal orthodontist soybean expatriate elliot unipolar ann cometh blake confirmatory casual crinkle carbondale hangable degum bishopric shenandoah telegraph allocate tuxedo\n", "output": "allocate ann bishopric blake carbondale casual cometh confirmatory crinkle degum elliot expatriate hangable neal orthodontist shenandoah soybean telegraph tuxedo unipolar" }, "80": { "input": "\nList: matte game aldebaran inkling fiberboard pulsate lakeside shape mcgee watchworks entrepreneurial boxwood peruse backyard cabbage polyhedra lightface rowley rae invincible\n", "output": "aldebaran backyard boxwood cabbage entrepreneurial fiberboard game inkling invincible lakeside lightface matte mcgee peruse polyhedra pulsate rae rowley shape watchworks" }, "81": { "input": "\nList: ecosystem cloudy ferret knotty\n", "output": "cloudy ecosystem ferret knotty" }, "82": { "input": "\nList: definite translate aggression arachne lengthy sanford bystander asplenium gneiss southeast\n", "output": "aggression arachne asplenium bystander definite gneiss lengthy sanford southeast translate" }, "83": { "input": "\nList: chassis caruso corporal signora\n", "output": "caruso chassis corporal signora" }, "84": { "input": "\nList: nv menlo boyd counterweight groove spumoni intangible sans ovipositor hide detergent besetting\n", "output": "besetting boyd counterweight detergent groove hide intangible menlo nv ovipositor sans spumoni" }, "85": { "input": "\nList: betony bronzy charge cordial handicraft boar collet clemens bootleg possession mesh centaur contemporaneous macmahon underclassman monterey dorado contravariant regina\n", "output": "betony boar bootleg bronzy centaur charge clemens collet contemporaneous contravariant cordial dorado handicraft macmahon mesh monterey possession regina underclassman" }, "86": { "input": "\nList: admixture catwalk shelve panamanian reluctant higgins suction irremediable chateaux offertory malthusian coordinate tunis pecos equine\n", "output": "admixture catwalk chateaux coordinate equine higgins irremediable malthusian offertory panamanian pecos reluctant shelve suction tunis" }, "87": { "input": "\nList: wreak hidebound bandwidth\n", "output": "bandwidth hidebound wreak" }, "88": { "input": "\nList: arroyo ambient voltmeter secretary appropriable intimidate breccia o'connor surtout perplex coupon martinson terrestrial faze eardrum fivefold billion social\n", "output": "ambient appropriable arroyo billion breccia coupon eardrum faze fivefold intimidate martinson o'connor perplex secretary social surtout terrestrial voltmeter" }, "89": { "input": "\nList: frontage gunky indeterminable smokestack taint assure ostentatious sanderson contend paradigmatic lustrous butterball deaf dinosaur bully rhyme sashimi bye cornet\n", "output": "assure bully butterball bye contend cornet deaf dinosaur frontage gunky indeterminable lustrous ostentatious paradigmatic rhyme sanderson sashimi smokestack taint" }, "90": { "input": "\nList: lung secretive cotman coffman quirinal detour rhubarb notate monologist jacobean gnostic stove collision membrane hammock tobacco backpack\n", "output": "backpack coffman collision cotman detour gnostic hammock jacobean lung membrane monologist notate quirinal rhubarb secretive stove tobacco" }, "91": { "input": "\nList: coypu anharmonic inflammation beauteous\n", "output": "anharmonic beauteous coypu inflammation" }, "92": { "input": "\nList: consignee can't artistry golf cascade markov nine swingable shanghai condiment projectile mimosa glance gentlemen wildflower tale\n", "output": "artistry can't cascade condiment consignee gentlemen glance golf markov mimosa nine projectile shanghai swingable tale wildflower" }, "93": { "input": "\nList: quench autocracy lodge exploitation custody ventricle annuity bruno thunderclap militant somatic dare acquisitive\n", "output": "acquisitive annuity autocracy bruno custody dare exploitation lodge militant quench somatic thunderclap ventricle" }, "94": { "input": "\nList: gazpacho indiscreet ballast erosible agglomerate ogle dollop spaniard oilcloth expiry manuel extensor\n", "output": "agglomerate ballast dollop erosible expiry extensor gazpacho indiscreet manuel ogle oilcloth spaniard" }, "95": { "input": "\nList: falter tuscarora invigorate porridge wetland libya residuary wrapup ludlow landlady kamikaze christiana jot antler mallow\n", "output": "antler christiana falter invigorate jot kamikaze landlady libya ludlow mallow porridge residuary tuscarora wetland wrapup" }, "96": { "input": "\nList: crystallography survey bindle rundown shipshape roadside strange chiang dent mambo savannah spew won't ram\n", "output": "bindle chiang crystallography dent mambo ram roadside rundown savannah shipshape spew strange survey won't" }, "97": { "input": "\nList: deform budd\n", "output": "budd deform" }, "98": { "input": "\nList: lise snipe miaow\n", "output": "lise miaow snipe" }, "99": { "input": "\nList: foliate damon europa potpourri\n", "output": "damon europa foliate potpourri" }, "100": { "input": "\nList: torpedo phosphorescent pristine decadent shrunk dey administer gradate littleneck thrown jacky coachman aeneid verdict tasting sinh delhi systemwide grim\n", "output": "administer aeneid coachman decadent delhi dey gradate grim jacky littleneck phosphorescent pristine shrunk sinh systemwide tasting thrown torpedo verdict" }, "101": { "input": "\nList: spontaneity smooth execrable epaulet bobbin calumny hun anastasia omnipotent award hostelry macedon roughshod burrow align apache putty adsorption anastomotic\n", "output": "adsorption align anastasia anastomotic apache award bobbin burrow calumny epaulet execrable hostelry hun macedon omnipotent putty roughshod smooth spontaneity" }, "102": { "input": "\nList: deadwood macedonia foxtail block hexadecimal guaranty rubaiyat victoria custodian\n", "output": "block custodian deadwood foxtail guaranty hexadecimal macedonia rubaiyat victoria" }, "103": { "input": "\nList: din spruce nate pomade jordan gaillardia putt inroad jest kill jackboot whelan mirth amerada craftsmen shortcoming eclipse\n", "output": "amerada craftsmen din eclipse gaillardia inroad jackboot jest jordan kill mirth nate pomade putt shortcoming spruce whelan" }, "104": { "input": "\nList: roadster earl metaphoric hollandaise supranational psyche pedro gloss granola quarantine inauspicious penis baccarat arenaceous mackenzie blare bowman\n", "output": "arenaceous baccarat blare bowman earl gloss granola hollandaise inauspicious mackenzie metaphoric pedro penis psyche quarantine roadster supranational" }, "105": { "input": "\nList: solstice roadway loquacious niece planet steed abutted hondo loosen agamemnon islamic capacity tibet hitachi essex casualty guinea aquatic suspicion\n", "output": "abutted agamemnon aquatic capacity casualty essex guinea hitachi hondo islamic loosen loquacious niece planet roadway solstice steed suspicion tibet" }, "106": { "input": "\nList: twelvefold o'connell mainstream malformed umbilical bivalve vinegar mortify sleuth paunchy\n", "output": "bivalve mainstream malformed mortify o'connell paunchy sleuth twelvefold umbilical vinegar" }, "107": { "input": "\nList: boletus ulysses debugging passband lucretia necktie deportee calypso revving conklin omnipotent\n", "output": "boletus calypso conklin debugging deportee lucretia necktie omnipotent passband revving ulysses" }, "108": { "input": "\nList: closeup thesaurus intelligent buckaroo vertebral wily blutwurst laguerre\n", "output": "blutwurst buckaroo closeup intelligent laguerre thesaurus vertebral wily" }, "109": { "input": "\nList: faithful broom integer menu gondola deathward brainwash soc kinematic\n", "output": "brainwash broom deathward faithful gondola integer kinematic menu soc" }, "110": { "input": "\nList: wv habitation panicking schoolmate aerodynamic giacomo nebulous offset vector roosevelt jimmy botanist suburbia padre\n", "output": "aerodynamic botanist giacomo habitation jimmy nebulous offset padre panicking roosevelt schoolmate suburbia vector wv" }, "111": { "input": "\nList: labile crunchy highlight silage judaism allocable vale phenol dissipate bertram necessity champlain boutique hydrology facto often\n", "output": "allocable bertram boutique champlain crunchy dissipate facto highlight hydrology judaism labile necessity often phenol silage vale" }, "112": { "input": "\nList: hodges deoxyribose troupe motorcade devisee stratify auerbach decor incommensurable dianne\n", "output": "auerbach decor deoxyribose devisee dianne hodges incommensurable motorcade stratify troupe" }, "113": { "input": "\nList: bijective song guidebook briton irrevocable eigenspace reversible floruit dive jacket dim glycogen pinkish gaucherie concord\n", "output": "bijective briton concord dim dive eigenspace floruit gaucherie glycogen guidebook irrevocable jacket pinkish reversible song" }, "114": { "input": "\nList: fallen juvenile bermuda diagram ezra screechy aristocratic musty absorption slack quartile nod nigeria testicle congo cheerful eucre cesium\n", "output": "absorption aristocratic bermuda cesium cheerful congo diagram eucre ezra fallen juvenile musty nigeria nod quartile screechy slack testicle" }, "115": { "input": "\nList: stanhope sisyphus fungi purpose midwinter mendelevium studious driveway symmetry despond trample wring strip clearheaded encapsulate vs gob christen\n", "output": "christen clearheaded despond driveway encapsulate fungi gob mendelevium midwinter purpose sisyphus stanhope strip studious symmetry trample vs wring" }, "116": { "input": "\nList: marshmallow doge alpenstock ocean accept angus drool jutish resistive chromium vociferous castigate prize octennial stonewort concision elizabethan\n", "output": "accept alpenstock angus castigate chromium concision doge drool elizabethan jutish marshmallow ocean octennial prize resistive stonewort vociferous" }, "117": { "input": "\nList: jocund flagellate bodyguard flotation commensal involve miff ineradicable postprocess\n", "output": "bodyguard commensal flagellate flotation ineradicable involve jocund miff postprocess" }, "118": { "input": "\nList: gloriana milord rendezvous schnabel allegoric loge lollipop salle collate prolix mast euphony\n", "output": "allegoric collate euphony gloriana loge lollipop mast milord prolix rendezvous salle schnabel" }, "119": { "input": "\nList: pea yonkers darkle quadrant moldboard instant olsen hookup erudite lip\n", "output": "darkle erudite hookup instant lip moldboard olsen pea quadrant yonkers" }, "120": { "input": "\nList: regret uptake satisfy behold fumarole motif forth alcohol escutcheon pease hackberry walkie\n", "output": "alcohol behold escutcheon forth fumarole hackberry motif pease regret satisfy uptake walkie" }, "121": { "input": "\nList: charcuterie muddle diatom impenetrable footfall crucifix greenberg synchronous spoken\n", "output": "charcuterie crucifix diatom footfall greenberg impenetrable muddle spoken synchronous" }, "122": { "input": "\nList: sibyl calligraph goat inverness form threadbare\n", "output": "calligraph form goat inverness sibyl threadbare" }, "123": { "input": "\nList: cashew apprehension ensemble\n", "output": "apprehension cashew ensemble" }, "124": { "input": "\nList: seashore haughty\n", "output": "haughty seashore" }, "125": { "input": "\nList: postcondition protoplasmic musicology helical uptrend vasoconstriction diacritic beefsteak beware birthplace bicycle junctor state obstinate banshee sap\n", "output": "banshee beefsteak beware bicycle birthplace diacritic helical junctor musicology obstinate postcondition protoplasmic sap state uptrend vasoconstriction" }, "126": { "input": "\nList: whisper eyesight titmice mirage fletch cry biennial creedal miltonic fraudulent j\n", "output": "biennial creedal cry eyesight fletch fraudulent j miltonic mirage titmice whisper" }, "127": { "input": "\nList: multitudinous adopt wage worcestershire pacifist afghan glimmer friday\n", "output": "adopt afghan friday glimmer multitudinous pacifist wage worcestershire" }, "128": { "input": "\nList: lethe bilk perturb tactual\n", "output": "bilk lethe perturb tactual" }, "129": { "input": "\nList: liggett sterno pintail dilate frolic piggish forth parameter slaughterhouse lacunae mcintosh bloodstain lazy unesco protector beachhead algonquin\n", "output": "algonquin beachhead bloodstain dilate forth frolic lacunae lazy liggett mcintosh parameter piggish pintail protector slaughterhouse sterno unesco" }, "130": { "input": "\nList: erudite marriageable stahl coach inadvisable vicksburg virgo brownian eosine magnesium flax\n", "output": "brownian coach eosine erudite flax inadvisable magnesium marriageable stahl vicksburg virgo" }, "131": { "input": "\nList: clifford brindle siskin gloat florist triploidy willard sacramento\n", "output": "brindle clifford florist gloat sacramento siskin triploidy willard" }, "132": { "input": "\nList: confrontation quantitative proserpine proofread daddy hirsute\n", "output": "confrontation daddy hirsute proofread proserpine quantitative" }, "133": { "input": "\nList: allyn carbonaceous majorca investigatory supersede cetacean pathogenic johann tung paradigmatic pray\n", "output": "allyn carbonaceous cetacean investigatory johann majorca paradigmatic pathogenic pray supersede tung" }, "134": { "input": "\nList: calyx emphases vii elgin perquisite implacable blackbird afro jura mayapple whit blame\n", "output": "afro blackbird blame calyx elgin emphases implacable jura mayapple perquisite vii whit" }, "135": { "input": "\nList: cast palazzi inhibit arragon tabletop danbury abbe adposition emplace gavin income falsetto onerous\n", "output": "abbe adposition arragon cast danbury emplace falsetto gavin income inhibit onerous palazzi tabletop" }, "136": { "input": "\nList: ulcerate ballroom sparse intrepid arcing prorogue dodge benefit coupon ladle buggy shagging bassoon hypothermia decide affirmative airframe junior nineveh schmitt\n", "output": "affirmative airframe arcing ballroom bassoon benefit buggy coupon decide dodge hypothermia intrepid junior ladle nineveh prorogue schmitt shagging sparse ulcerate" }, "137": { "input": "\nList: hyperboloidal borough\n", "output": "borough hyperboloidal" }, "138": { "input": "\nList: yves butt scribe seaworthy manumitted clapeyron lift blackguard reconnaissance agile woodcut lightfooted sawbelly meager geophysical wiseacre mathieu cognoscenti purposive flamboyant\n", "output": "agile blackguard butt clapeyron cognoscenti flamboyant geophysical lift lightfooted manumitted mathieu meager purposive reconnaissance sawbelly scribe seaworthy wiseacre woodcut yves" }, "139": { "input": "\nList: duane harriet impressible whippet glamour cowbell vietnamese fest switchboard anaglyph texture\n", "output": "anaglyph cowbell duane fest glamour harriet impressible switchboard texture vietnamese whippet" }, "140": { "input": "\nList: plural dose allstate stalin dyad multitudinous powderpuff\n", "output": "allstate dose dyad multitudinous plural powderpuff stalin" }, "141": { "input": "\nList: corpulent diagnose code scalp bombproof fluorine blythe swipe honeybee damn pore maharaja cytolysis solicit\n", "output": "blythe bombproof code corpulent cytolysis damn diagnose fluorine honeybee maharaja pore scalp solicit swipe" }, "142": { "input": "\nList: fugue chicanery mountain\n", "output": "chicanery fugue mountain" }, "143": { "input": "\nList: sideboard procrustean seepage buxton olympic tty typescript marque callus unitary cameron contribute precise verify shelf extensible methanol\n", "output": "buxton callus cameron contribute extensible marque methanol olympic precise procrustean seepage shelf sideboard tty typescript unitary verify" }, "144": { "input": "\nList: sociolinguistic nigeria odysseus demystify proton voltaire penny contaminate bighorn stirrup\n", "output": "bighorn contaminate demystify nigeria odysseus penny proton sociolinguistic stirrup voltaire" }, "145": { "input": "\nList: greasy lapidary mark\n", "output": "greasy lapidary mark" }, "146": { "input": "\nList: choreograph retardant multifarious pro carbonic equestrian wishful wigwam countersink libya authenticate metal have corvallis nitric petition obfuscatory\n", "output": "authenticate carbonic choreograph corvallis countersink equestrian have libya metal multifarious nitric obfuscatory petition pro retardant wigwam wishful" }, "147": { "input": "\nList: oakland seaborg jacobi membrane trapezoidal allis marmot toggle anthology\n", "output": "allis anthology jacobi marmot membrane oakland seaborg toggle trapezoidal" }, "148": { "input": "\nList: monotonous slick provocation functor hideaway holeable assimilable lola calypso nebuchadnezzar dogwood pacifism bivariate bought\n", "output": "assimilable bivariate bought calypso dogwood functor hideaway holeable lola monotonous nebuchadnezzar pacifism provocation slick" }, "149": { "input": "\nList: livre substitution ix frisian panoramic buckley\n", "output": "buckley frisian ix livre panoramic substitution" }, "150": { "input": "\nList: no spokane cartilaginous that'd science\n", "output": "cartilaginous no science spokane that'd" }, "151": { "input": "\nList: splashy rectitude novelty\n", "output": "novelty rectitude splashy" }, "152": { "input": "\nList: sediment varsity towel fracture\n", "output": "fracture sediment towel varsity" }, "153": { "input": "\nList: mckinley pesticide school radiometer marque prig relish trianon inspiration artful cancelled castrate glaucous ear croon tioga rothschild excite endpoint citadel\n", "output": "artful cancelled castrate citadel croon ear endpoint excite glaucous inspiration marque mckinley pesticide prig radiometer relish rothschild school tioga trianon" }, "154": { "input": "\nList: iniquity yoghurt behind volcanism hornpipe mcconnell scorn zip toroidal mollie sandy wellwisher inmate\n", "output": "behind hornpipe iniquity inmate mcconnell mollie sandy scorn toroidal volcanism wellwisher yoghurt zip" }, "155": { "input": "\nList: extempore gotten\n", "output": "extempore gotten" }, "156": { "input": "\nList: yang relinquish merry maladjust olefin canaan ranch batavia\n", "output": "batavia canaan maladjust merry olefin ranch relinquish yang" }, "157": { "input": "\nList: yuh edt cheddar oblivion from poignant pang\n", "output": "cheddar edt from oblivion pang poignant yuh" }, "158": { "input": "\nList: zan natalie coplanar stevenson\n", "output": "coplanar natalie stevenson zan" }, "159": { "input": "\nList: bottle kenney chapati okinawa boon bedtime\n", "output": "bedtime boon bottle chapati kenney okinawa" }, "160": { "input": "\nList: contrariety hoop muong dimorphic crochet forthwith hurty titrate prodigy polytope guaranteeing atavism emanate iniquity grind more katie\n", "output": "atavism contrariety crochet dimorphic emanate forthwith grind guaranteeing hoop hurty iniquity katie more muong polytope prodigy titrate" }, "161": { "input": "\nList: sloane molten equip hillman max cochran practise advisee kuwait chancery hoofprint cardigan evildoer retinue wuhan ape apostate acrobacy crowbait\n", "output": "acrobacy advisee ape apostate cardigan chancery cochran crowbait equip evildoer hillman hoofprint kuwait max molten practise retinue sloane wuhan" }, "162": { "input": "\nList: catawba almagest transfusable milt photolysis limpid gnome archenemy sagging councilwomen decrement jungian\n", "output": "almagest archenemy catawba councilwomen decrement gnome jungian limpid milt photolysis sagging transfusable" }, "163": { "input": "\nList: madeira offprint trafficked immemorial subject micro clinic sprue marx va anaheim eaten\n", "output": "anaheim clinic eaten immemorial madeira marx micro offprint sprue subject trafficked va" }, "164": { "input": "\nList: reedy bully multiple edt sell referring lexicographer tit flogging perceptive minor bosporus rancorous forfeit pizza pungent sedition cork\n", "output": "bosporus bully cork edt flogging forfeit lexicographer minor multiple perceptive pizza pungent rancorous reedy referring sedition sell tit" }, "165": { "input": "\nList: thirteenth tinfoil thimble snuff ernie pow celebrity abuilding indiscoverable chigger burgher synchronous yap medlar exorcism newsboy\n", "output": "abuilding burgher celebrity chigger ernie exorcism indiscoverable medlar newsboy pow snuff synchronous thimble thirteenth tinfoil yap" }, "166": { "input": "\nList: saprophytic confident pam stowaway stupor foundling compton\n", "output": "compton confident foundling pam saprophytic stowaway stupor" }, "167": { "input": "\nList: epiphyte swift sail anchor barre dimension faunal integrate eleanor edgy singular patrician orthodoxy parasol pendant buckle concatenate masochist\n", "output": "anchor barre buckle concatenate dimension edgy eleanor epiphyte faunal integrate masochist orthodoxy parasol patrician pendant sail singular swift" }, "168": { "input": "\nList: butterscotch veterinarian kochab molybdate extoller amos farrell academia glance predatory beautiful ford fiducial metzler europium circuitous diatom monomer\n", "output": "academia amos beautiful butterscotch circuitous diatom europium extoller farrell fiducial ford glance kochab metzler molybdate monomer predatory veterinarian" }, "169": { "input": "\nList: mater rica sigmund dean eosine inebriate gibson vassar mulligatawny formula\n", "output": "dean eosine formula gibson inebriate mater mulligatawny rica sigmund vassar" }, "170": { "input": "\nList: shakespearian laudatory\n", "output": "laudatory shakespearian" }, "171": { "input": "\nList: fasciculate judicature presto\n", "output": "fasciculate judicature presto" }, "172": { "input": "\nList: thereupon wireman crag scrawny electrolytic wife cutover dickson clytemnestra took diocletian lipton inhuman stalk workplace marginal\n", "output": "clytemnestra crag cutover dickson diocletian electrolytic inhuman lipton marginal scrawny stalk thereupon took wife wireman workplace" }, "173": { "input": "\nList: bruckner admiration technion bandgap heron postprocessor maidenhair fungus allusion gambit accessory proscenium cruise\n", "output": "accessory admiration allusion bandgap bruckner cruise fungus gambit heron maidenhair postprocessor proscenium technion" }, "174": { "input": "\nList: grammarian chivalry polkadot gastronomic ferocity brenda knutson endothelial phenotype irreducible bilinear rockaway derivate eaten cacao scurrilous\n", "output": "bilinear brenda cacao chivalry derivate eaten endothelial ferocity gastronomic grammarian irreducible knutson phenotype polkadot rockaway scurrilous" }, "175": { "input": "\nList: hornblower dissipate amanita canticle annoy besiege straight notre propylene sepia california pasture encephalitis boggle crocodilian dexter snipe amatory dizzy psychiatric\n", "output": "amanita amatory annoy besiege boggle california canticle crocodilian dexter dissipate dizzy encephalitis hornblower notre pasture propylene psychiatric sepia snipe straight" }, "176": { "input": "\nList: peaceable residue sulfanilamide kingsley eft caliber headboard stamp phillip upholster irishman lobby nary gastrointestinal fragile faulkner capricious ouzo phylum\n", "output": "caliber capricious eft faulkner fragile gastrointestinal headboard irishman kingsley lobby nary ouzo peaceable phillip phylum residue stamp sulfanilamide upholster" }, "177": { "input": "\nList: multiplet catsup hypothalamus scherzo bridesmaid average therewith invocable coddle charm inequity region abbas trumpery memorandum shutout integral dogfish phloem inconvertible\n", "output": "abbas average bridesmaid catsup charm coddle dogfish hypothalamus inconvertible inequity integral invocable memorandum multiplet phloem region scherzo shutout therewith trumpery" }, "178": { "input": "\nList: windowsill appoint biharmonic moustache baneberry wiry dyne pirate\n", "output": "appoint baneberry biharmonic dyne moustache pirate windowsill wiry" }, "179": { "input": "\nList: zoroaster skimpy\n", "output": "skimpy zoroaster" }, "180": { "input": "\nList: almost delphic semitic unbeknownst astute deadlock libertarian antic levitate execution sanction scathe storehouse dandelion affable sweeney fortunate leverage horntail apache\n", "output": "affable almost antic apache astute dandelion deadlock delphic execution fortunate horntail leverage levitate libertarian sanction scathe semitic storehouse sweeney unbeknownst" }, "181": { "input": "\nList: percent maser roadside we're caching distort phillip emboss epistemology gherkin somewhat spicy injustice winston savoyard delicious defend indicate\n", "output": "caching defend delicious distort emboss epistemology gherkin indicate injustice maser percent phillip roadside savoyard somewhat spicy we're winston" }, "182": { "input": "\nList: anarchic liven shortcut total diatom guelph usage acoustic yarmulke phenomenology neo bureaucracy trammel leftward immovable fabricate syndrome suggestive provide\n", "output": "acoustic anarchic bureaucracy diatom fabricate guelph immovable leftward liven neo phenomenology provide shortcut suggestive syndrome total trammel usage yarmulke" }, "183": { "input": "\nList: maraud downtrodden hurst propane morphine parsonage gadgetry inertial gamin\n", "output": "downtrodden gadgetry gamin hurst inertial maraud morphine parsonage propane" }, "184": { "input": "\nList: foamflower lawful cayenne chandigarh only excursion declassify equanimity aseptic inclement october debauch kruger groupoid scorch dingy alterate\n", "output": "alterate aseptic cayenne chandigarh debauch declassify dingy equanimity excursion foamflower groupoid inclement kruger lawful october only scorch" }, "185": { "input": "\nList: elton olympic iodinate captious ineligible sherman\n", "output": "captious elton ineligible iodinate olympic sherman" }, "186": { "input": "\nList: alleviate duopoly mattress gland benelux townsmen buoyant klaxon hardbound tomography felice gunk\n", "output": "alleviate benelux buoyant duopoly felice gland gunk hardbound klaxon mattress tomography townsmen" }, "187": { "input": "\nList: solvate nat usable kajar downey vision detest aitken barycentric\n", "output": "aitken barycentric detest downey kajar nat solvate usable vision" }, "188": { "input": "\nList: griffith common nanosecond loosestrife decoy swabby aerospace denmark yates frill spitz enviable screechy allure sow spermatozoa saute jibe exclusive\n", "output": "aerospace allure common decoy denmark enviable exclusive frill griffith jibe loosestrife nanosecond saute screechy sow spermatozoa spitz swabby yates" }, "189": { "input": "\nList: reverie giantess muddy mast callous bate dnieper prank cortez staunch satisfy dogging moran climb garrison\n", "output": "bate callous climb cortez dnieper dogging garrison giantess mast moran muddy prank reverie satisfy staunch" }, "190": { "input": "\nList: avoid whimsey grassland elegy pitfall error gaillardia hostile caramel conclave stepchild accept carbuncle compressor utopia drib spectra rosa embower\n", "output": "accept avoid caramel carbuncle compressor conclave drib elegy embower error gaillardia grassland hostile pitfall rosa spectra stepchild utopia whimsey" }, "191": { "input": "\nList: rowley midshipman saline furl geld locomote exhumation anarchic bstj gradual riddance j liniment pantheist elution profess\n", "output": "anarchic bstj elution exhumation furl geld gradual j liniment locomote midshipman pantheist profess riddance rowley saline" }, "192": { "input": "\nList: hangout drafty supposable sushi proscenium anticonvulsant you'd magnificent scrub embolden hasty pewee carrageen disseminate glamour discovery registrar acuity\n", "output": "acuity anticonvulsant carrageen discovery disseminate drafty embolden glamour hangout hasty magnificent pewee proscenium registrar scrub supposable sushi you'd" }, "193": { "input": "\nList: sweatband murray\n", "output": "murray sweatband" }, "194": { "input": "\nList: resignation dormouse bathos walt amethyst obtuse\n", "output": "amethyst bathos dormouse obtuse resignation walt" }, "195": { "input": "\nList: paginate amicable they've histology extreme indoeuropean sonority tramway turvy coo deerstalker browne henchman pelvis calumny\n", "output": "amicable browne calumny coo deerstalker extreme henchman histology indoeuropean paginate pelvis sonority they've tramway turvy" }, "196": { "input": "\nList: transgressor sidewinder tacky casualty shouldn't courtier leprosy avoidance gibbon merge\n", "output": "avoidance casualty courtier gibbon leprosy merge shouldn't sidewinder tacky transgressor" }, "197": { "input": "\nList: wink envious scotia planetaria pooh emancipate army\n", "output": "army emancipate envious planetaria pooh scotia wink" }, "198": { "input": "\nList: condescend rampant percolate coltish date rochester placid significant\n", "output": "coltish condescend date percolate placid rampant rochester significant" }, "199": { "input": "\nList: promulgate altercate foraminifera sophocles raft wrongdoer syllabus jive cornerstone gossamer courtroom insist dusenberg sal\n", "output": "altercate cornerstone courtroom dusenberg foraminifera gossamer insist jive promulgate raft sal sophocles syllabus wrongdoer" }, "200": { "input": "\nList: jacob sleight globule consonant musician\n", "output": "consonant globule jacob musician sleight" }, "201": { "input": "\nList: nascent muddy\n", "output": "muddy nascent" }, "202": { "input": "\nList: automate abner shampoo gurgle none exquisite abramson amity fruitful shorten waterproof\n", "output": "abner abramson amity automate exquisite fruitful gurgle none shampoo shorten waterproof" }, "203": { "input": "\nList: search marcello depreciate unary frame numbly sprout clench agamemnon herbivorous eject zaire lien forum\n", "output": "agamemnon clench depreciate eject forum frame herbivorous lien marcello numbly search sprout unary zaire" }, "204": { "input": "\nList: saul fresco teen chopstick footwork smalley anaplasmosis palisade orthography storey bumble pilate clue ingot fiesta\n", "output": "anaplasmosis bumble chopstick clue fiesta footwork fresco ingot orthography palisade pilate saul smalley storey teen" }, "205": { "input": "\nList: avalanche chaplin squabble coachman ipsilateral clonic cameroon fortran cram medea referring kennan canal pyridine ussr postpone\n", "output": "avalanche cameroon canal chaplin clonic coachman cram fortran ipsilateral kennan medea postpone pyridine referring squabble ussr" }, "206": { "input": "\nList: peculiar margaret contravention ingratiate dreg superintendent drapery bizarre sequential\n", "output": "bizarre contravention drapery dreg ingratiate margaret peculiar sequential superintendent" }, "207": { "input": "\nList: sweatshirt bone ia wagoneer doleful homeobox hindustan convergent\n", "output": "bone convergent doleful hindustan homeobox ia sweatshirt wagoneer" }, "208": { "input": "\nList: pewter gross gujarati cortland diffusible nomograph stag broadcast galvanometer transition incestuous sketchbook scout larynx\n", "output": "broadcast cortland diffusible galvanometer gross gujarati incestuous larynx nomograph pewter scout sketchbook stag transition" }, "209": { "input": "\nList: portsmouth impalpable portrait gouda brainy succumb fatuous hoof lisbon erudite malaria enigma isaacson cony stronghold servomechanism\n", "output": "brainy cony enigma erudite fatuous gouda hoof impalpable isaacson lisbon malaria portrait portsmouth servomechanism stronghold succumb" }, "210": { "input": "\nList: testate orchestra permafrost leasehold shiva\n", "output": "leasehold orchestra permafrost shiva testate" }, "211": { "input": "\nList: logarithm robertson inanimate uganda micron incurring wilcox lumber sammy souvenir newman profuse maladapt cone butch airlift homeowner\n", "output": "airlift butch cone homeowner inanimate incurring logarithm lumber maladapt micron newman profuse robertson sammy souvenir uganda wilcox" }, "212": { "input": "\nList: dredge checksum huckster baronial spotlight circumstance eulogy comment felicia dartmouth monochromator neuroanatomic emittance\n", "output": "baronial checksum circumstance comment dartmouth dredge emittance eulogy felicia huckster monochromator neuroanatomic spotlight" }, "213": { "input": "\nList: breezy germinal biplane canada nutrient archipelago peloponnese thigh conspiracy constructor accrue dobbin lost hamburger insubstantial malleable ted laramie\n", "output": "accrue archipelago biplane breezy canada conspiracy constructor dobbin germinal hamburger insubstantial laramie lost malleable nutrient peloponnese ted thigh" }, "214": { "input": "\nList: wagging cabdriver astronomic pivot loch coherent\n", "output": "astronomic cabdriver coherent loch pivot wagging" }, "215": { "input": "\nList: gag grecian ada nobody militia wildcat right abc blend cankerworm hanukkah pierson ron falcon quad flamboyant lobster kruger austere indicate\n", "output": "abc ada austere blend cankerworm falcon flamboyant gag grecian hanukkah indicate kruger lobster militia nobody pierson quad right ron wildcat" }, "216": { "input": "\nList: babysat curvaceous hugh cutaneous spoke consul stationarity regiment\n", "output": "babysat consul curvaceous cutaneous hugh regiment spoke stationarity" }, "217": { "input": "\nList: woebegone nimble complementary afternoon immaculate laughlin kind hesitate loire septuagenarian sandia toggle dixie horsepower sierra shuffleboard mechanism\n", "output": "afternoon complementary dixie hesitate horsepower immaculate kind laughlin loire mechanism nimble sandia septuagenarian shuffleboard sierra toggle woebegone" }, "218": { "input": "\nList: linchpin arrear eavesdropping fasciculate shin postdoctoral maritime ibn henry hermaphrodite sticky jane brookside incorrigible vehicular herodotus\n", "output": "arrear brookside eavesdropping fasciculate henry hermaphrodite herodotus ibn incorrigible jane linchpin maritime postdoctoral shin sticky vehicular" }, "219": { "input": "\nList: sinter cortex kangaroo pillage threshold insane mcleod roundabout stipulate marionette trammel incident\n", "output": "cortex incident insane kangaroo marionette mcleod pillage roundabout sinter stipulate threshold trammel" }, "220": { "input": "\nList: soulful dnieper labile lease vehicular\n", "output": "dnieper labile lease soulful vehicular" }, "221": { "input": "\nList: cornerstone green brindle prowl nonce ballard scrappy credulous des pitney difluoride toward predilect nostalgic rape mixup horseplay jew curio\n", "output": "ballard brindle cornerstone credulous curio des difluoride green horseplay jew mixup nonce nostalgic pitney predilect prowl rape scrappy toward" }, "222": { "input": "\nList: covenant thence davenport sonorant scoreboard densitometer noisy\n", "output": "covenant davenport densitometer noisy scoreboard sonorant thence" }, "223": { "input": "\nList: inhabitation bona cicero purport gaussian silver responsible rastus zig exonerate portfolio coastal asset ruanda dusky handlebar\n", "output": "asset bona cicero coastal dusky exonerate gaussian handlebar inhabitation portfolio purport rastus responsible ruanda silver zig" }, "224": { "input": "\nList: implementor bangui nudge cavalier refractory islamabad contextual abramson waite railway carlisle magistrate silvery picnicking dustbin emacs\n", "output": "abramson bangui carlisle cavalier contextual dustbin emacs implementor islamabad magistrate nudge picnicking railway refractory silvery waite" }, "225": { "input": "\nList: strove hendrickson apostasy jacm indonesia vibrate afloat lanthanide grosbeak scavenge quark chattel conner bechtel melancholy ferment\n", "output": "afloat apostasy bechtel chattel conner ferment grosbeak hendrickson indonesia jacm lanthanide melancholy quark scavenge strove vibrate" }, "226": { "input": "\nList: spongy separate gabriel jackson quail hendrickson washy backslide shelter calvert anastomosis variety commando pizzicato sticktight syndicate hollister\n", "output": "anastomosis backslide calvert commando gabriel hendrickson hollister jackson pizzicato quail separate shelter spongy sticktight syndicate variety washy" }, "227": { "input": "\nList: behold oxalic maybe hew steel termcap pray stiffen dissipate misogyny format dew\n", "output": "behold dew dissipate format hew maybe misogyny oxalic pray steel stiffen termcap" }, "228": { "input": "\nList: patrolman arabesque novel spearmint arkansan bend brassiere diagnosable ytterbium sheep bedroom yen planeload deterrent fossiliferous alveolar trident fluke curvilinear\n", "output": "alveolar arabesque arkansan bedroom bend brassiere curvilinear deterrent diagnosable fluke fossiliferous novel patrolman planeload sheep spearmint trident yen ytterbium" }, "229": { "input": "\nList: papaw perfidious frugal labial feel sonar blunderbuss box dinnertime oresteia\n", "output": "blunderbuss box dinnertime feel frugal labial oresteia papaw perfidious sonar" }, "230": { "input": "\nList: haddock colossus sheepskin honeymoon candid pragmatic agrarian people applicate\n", "output": "agrarian applicate candid colossus haddock honeymoon people pragmatic sheepskin" }, "231": { "input": "\nList: catechism daddy\n", "output": "catechism daddy" }, "232": { "input": "\nList: holocene muriel r&d pathetic talon mare staircase bradshaw aperture sigh\n", "output": "aperture bradshaw holocene mare muriel pathetic r&d sigh staircase talon" }, "233": { "input": "\nList: bust midshipmen musicale urinary chalk rocket resiny horror tangential sapient dumb serf pathway urea goucher fatty masonry dentistry cowboy roadrunner\n", "output": "bust chalk cowboy dentistry dumb fatty goucher horror masonry midshipmen musicale pathway resiny roadrunner rocket sapient serf tangential urea urinary" }, "234": { "input": "\nList: sanhedrin scratchy helical beau venezuela awash bessie extricable indoeuropean vice pendulum cream animism\n", "output": "animism awash beau bessie cream extricable helical indoeuropean pendulum sanhedrin scratchy venezuela vice" }, "235": { "input": "\nList: him correspond seashore herpes\n", "output": "correspond herpes him seashore" }, "236": { "input": "\nList: worcestershire bonito fritter dreamboat haggard nose whodunit\n", "output": "bonito dreamboat fritter haggard nose whodunit worcestershire" }, "237": { "input": "\nList: decimate geocentric eject heady owe tipsy shoestring methyl sublimate\n", "output": "decimate eject geocentric heady methyl owe shoestring sublimate tipsy" }, "238": { "input": "\nList: hager azure guyana influence amende potassium\n", "output": "amende azure guyana hager influence potassium" }, "239": { "input": "\nList: option athabascan tarpaulin blair tarbell delphine marietta\n", "output": "athabascan blair delphine marietta option tarbell tarpaulin" }, "240": { "input": "\nList: responsive dulcet corbett impartation curium tiger leaky effect lafayette ness hull corvette explicate puerile arpeggio zircon kate\n", "output": "arpeggio corbett corvette curium dulcet effect explicate hull impartation kate lafayette leaky ness puerile responsive tiger zircon" }, "241": { "input": "\nList: window upslope\n", "output": "upslope window" }, "242": { "input": "\nList: ventilate liveth healey windsurf sleeve\n", "output": "healey liveth sleeve ventilate windsurf" }, "243": { "input": "\nList: millet c dixie battelle distillate daguerreotype cyril pear joyous windbag ottawa antoinette allentown shoot panther sparrow\n", "output": "allentown antoinette battelle c cyril daguerreotype distillate dixie joyous millet ottawa panther pear shoot sparrow windbag" }, "244": { "input": "\nList: mawkish chair regent thermofax sanatoria pigskin depreciate seminar catawba vowel\n", "output": "catawba chair depreciate mawkish pigskin regent sanatoria seminar thermofax vowel" }, "245": { "input": "\nList: dusenberg steepen postmark as deck lice bloodbath circlet prairie inputting spool\n", "output": "as bloodbath circlet deck dusenberg inputting lice postmark prairie spool steepen" }, "246": { "input": "\nList: chubby woodwork offenbach housebroken abalone basil meteor spigot embrittle story trivia chamomile burdock village muscular algonquian subtle anagram\n", "output": "abalone algonquian anagram basil burdock chamomile chubby embrittle housebroken meteor muscular offenbach spigot story subtle trivia village woodwork" }, "247": { "input": "\nList: finny nazarene perfect elizabethan em concision kristin tease hundredfold osborn automotive gizzard glacis jablonsky invalid lithuania delphine cinerama\n", "output": "automotive cinerama concision delphine elizabethan em finny gizzard glacis hundredfold invalid jablonsky kristin lithuania nazarene osborn perfect tease" }, "248": { "input": "\nList: plank jukes cranberry spectrum pewter stickleback knauer anisotropic bait lieu dearie gunny pursuant\n", "output": "anisotropic bait cranberry dearie gunny jukes knauer lieu pewter plank pursuant spectrum stickleback" }, "249": { "input": "\nList: purgatory randy teresa chlordane guano orbital ketosis mayflower rut dextrose damon simonson amaranth rachmaninoff miniature tassel squawroot hager\n", "output": "amaranth chlordane damon dextrose guano hager ketosis mayflower miniature orbital purgatory rachmaninoff randy rut simonson squawroot tassel teresa" }, "250": { "input": "\nList: anus gizmo diana mongoose nate paratroop flare tex peal swampy sore awe alpert strap seneca polarography sarcophagus\n", "output": "alpert anus awe diana flare gizmo mongoose nate paratroop peal polarography sarcophagus seneca sore strap swampy tex" }, "251": { "input": "\nList: anthony spume differentiable uplift cactus fare panorama brussels congolese waxwing calcite rock nepotistic dig feverish armstrong\n", "output": "anthony armstrong brussels cactus calcite congolese differentiable dig fare feverish nepotistic panorama rock spume uplift waxwing" }, "252": { "input": "\nList: trellis wag ineffective invocate alden\n", "output": "alden ineffective invocate trellis wag" }, "253": { "input": "\nList: greet addressee eyepiece exorcise ail matrices passerby squatted ajax filbert illumine inventory waspish\n", "output": "addressee ail ajax exorcise eyepiece filbert greet illumine inventory matrices passerby squatted waspish" }, "254": { "input": "\nList: smote bladder mitigate latin valine chimeric greasy minerva nadir phonon feathertop coquina reportorial concessionaire feldspar husbandry\n", "output": "bladder chimeric concessionaire coquina feathertop feldspar greasy husbandry latin minerva mitigate nadir phonon reportorial smote valine" }, "255": { "input": "\nList: seaport lobscouse telephoto foray handymen\n", "output": "foray handymen lobscouse seaport telephoto" }, "256": { "input": "\nList: splotch collimate ta scribble gush commendation maharashtra diet kitty melodious block yeshiva\n", "output": "block collimate commendation diet gush kitty maharashtra melodious scribble splotch ta yeshiva" }, "257": { "input": "\nList: expanse isocline thuggee sarsparilla enchantress much gill chromatograph brewster modesty caught\n", "output": "brewster caught chromatograph enchantress expanse gill isocline modesty much sarsparilla thuggee" }, "258": { "input": "\nList: downgrade lopez exam wilderness gloss primp fermentation knock embellish leland irrepressible derail marshall bream monkey riverfront christen papua jeremiah\n", "output": "bream christen derail downgrade embellish exam fermentation gloss irrepressible jeremiah knock leland lopez marshall monkey papua primp riverfront wilderness" }, "259": { "input": "\nList: indulge twinkle porpoise resume gallus wynn christen expellable inductee ballast quadrature grope pyrex po real dance lucky phosphorus extracellular\n", "output": "ballast christen dance expellable extracellular gallus grope inductee indulge lucky phosphorus po porpoise pyrex quadrature real resume twinkle wynn" }, "260": { "input": "\nList: fort ambush hilarious danubian paris shipmate othello pure antiquity germicide wasn't\n", "output": "ambush antiquity danubian fort germicide hilarious othello paris pure shipmate wasn't" }, "261": { "input": "\nList: turmeric teeth sextuple northerly audubon doomsday seaport oregano mountain\n", "output": "audubon doomsday mountain northerly oregano seaport sextuple teeth turmeric" }, "262": { "input": "\nList: guggenheim lupine foliage youthful physiognomy penthouse bakhtiari divulge drugstore recherche firebug prolongate functorial attlee\n", "output": "attlee bakhtiari divulge drugstore firebug foliage functorial guggenheim lupine penthouse physiognomy prolongate recherche youthful" }, "263": { "input": "\nList: brothel effusion emerald yaounde parsimony cochlea jacobian inseminate katmandu\n", "output": "brothel cochlea effusion emerald inseminate jacobian katmandu parsimony yaounde" }, "264": { "input": "\nList: hydrochemistry reprimand hubbard sonic subservient indirect methanol dolt referenda adam botanic superbly rudyard hackett carolina breve cameroon estrous\n", "output": "adam botanic breve cameroon carolina dolt estrous hackett hubbard hydrochemistry indirect methanol referenda reprimand rudyard sonic subservient superbly" }, "265": { "input": "\nList: guardian purgatory gymnast\n", "output": "guardian gymnast purgatory" }, "266": { "input": "\nList: balletomane brindisi mona secondhand blackstone effluvium beman swabby durward horse lament camille appetite mattock disputant\n", "output": "appetite balletomane beman blackstone brindisi camille disputant durward effluvium horse lament mattock mona secondhand swabby" }, "267": { "input": "\nList: shutdown beebread conveyor courtyard semantic aqueduct lacewing grown mummy infinitude tennessee taillight monarch neural aristocrat topheavy flagler deviate\n", "output": "aqueduct aristocrat beebread conveyor courtyard deviate flagler grown infinitude lacewing monarch mummy neural semantic shutdown taillight tennessee topheavy" }, "268": { "input": "\nList: maim squashy consonant plastisol glass snuffle avenge morpheme adam president jamaica geminid syringa perseverant mathews\n", "output": "adam avenge consonant geminid glass jamaica maim mathews morpheme perseverant plastisol president snuffle squashy syringa" }, "269": { "input": "\nList: simmer protestant yellowknife vega monongahela jalopy supremum ripley mooch egret experimentation\n", "output": "egret experimentation jalopy monongahela mooch protestant ripley simmer supremum vega yellowknife" }, "270": { "input": "\nList: magnetron sherry are whiplash lilliputian\n", "output": "are lilliputian magnetron sherry whiplash" }, "271": { "input": "\nList: grandiose cranberry dissipate propel\n", "output": "cranberry dissipate grandiose propel" }, "272": { "input": "\nList: bosom datsun public wadsworth swampland playpen montage halide stern today bract dump choreography bolton\n", "output": "bolton bosom bract choreography datsun dump halide montage playpen public stern swampland today wadsworth" }, "273": { "input": "\nList: boggy spider asthma convention thimbleful lissajous protophyta putdown thereunder pablo ostrich ghetto hobart monopoly moraine\n", "output": "asthma boggy convention ghetto hobart lissajous monopoly moraine ostrich pablo protophyta putdown spider thereunder thimbleful" }, "274": { "input": "\nList: scrawl stint abjure downdraft clint nikolai sinus aromatic doria basalt lute faith latrobe approximant uk monkish apposite lubbock candlelight gwen\n", "output": "abjure apposite approximant aromatic basalt candlelight clint doria downdraft faith gwen latrobe lubbock lute monkish nikolai scrawl sinus stint uk" }, "275": { "input": "\nList: intact taxonomist grovel pretentious nakayama meadow fun shaman pope argillaceous bombay lucille\n", "output": "argillaceous bombay fun grovel intact lucille meadow nakayama pope pretentious shaman taxonomist" }, "276": { "input": "\nList: claus induct cobalt abstain scribe tarzan tribune sustenance adduce decrypt smite newman\n", "output": "abstain adduce claus cobalt decrypt induct newman scribe smite sustenance tarzan tribune" }, "277": { "input": "\nList: frankfurt peer micro alkali baby perceive inoperative colonial spica tableau\n", "output": "alkali baby colonial frankfurt inoperative micro peer perceive spica tableau" }, "278": { "input": "\nList: parenthesis proverb chrysler emacs drought hatchet those arcing jaime rever sphygmomanometer cider stupefy whodunit butyl bigelow genotype\n", "output": "arcing bigelow butyl chrysler cider drought emacs genotype hatchet jaime parenthesis proverb rever sphygmomanometer stupefy those whodunit" }, "279": { "input": "\nList: reliquary kajar sacrosanct agnew dissertation rosalie astrophysical geothermal passbook softwood purloin brow alpert bach opposable america inimical eratosthenes inhospitable\n", "output": "agnew alpert america astrophysical bach brow dissertation eratosthenes geothermal inhospitable inimical kajar opposable passbook purloin reliquary rosalie sacrosanct softwood" }, "280": { "input": "\nList: noon extant meteorology opinionate flue\n", "output": "extant flue meteorology noon opinionate" }, "281": { "input": "\nList: interrogatory suffocate doctrine torrent\n", "output": "doctrine interrogatory suffocate torrent" }, "282": { "input": "\nList: tristate crypt stand hippie benefit shanghai liquidate\n", "output": "benefit crypt hippie liquidate shanghai stand tristate" }, "283": { "input": "\nList: goodman drunken noetherian fastidious tandem curse ridge multiplet semiramis cupidity anhydride famish petit musket chickadee coventry cart putrefaction anisotropic gulch\n", "output": "anhydride anisotropic cart chickadee coventry cupidity curse drunken famish fastidious goodman gulch multiplet musket noetherian petit putrefaction ridge semiramis tandem" }, "284": { "input": "\nList: saturday pest machine locust delicti gustave extractor transship thyself dockside append chinook lahore brigadier anthony crosswise\n", "output": "anthony append brigadier chinook crosswise delicti dockside extractor gustave lahore locust machine pest saturday thyself transship" }, "285": { "input": "\nList: dormitory feud chancellor inordinate irresistible phosphide godparent encomium piotr hodgkin clearwater exhaustion kauffman blister dyad\n", "output": "blister chancellor clearwater dormitory dyad encomium exhaustion feud godparent hodgkin inordinate irresistible kauffman phosphide piotr" }, "286": { "input": "\nList: brock commonwealth satire familial extol funnel contention reid\n", "output": "brock commonwealth contention extol familial funnel reid satire" }, "287": { "input": "\nList: hash linus coors millionaire christina\n", "output": "christina coors hash linus millionaire" }, "288": { "input": "\nList: urethra fabulous delimitation rap\n", "output": "delimitation fabulous rap urethra" }, "289": { "input": "\nList: incant bialystok berwick fetch coralline deplete freshwater solidarity marigold pomposity\n", "output": "berwick bialystok coralline deplete fetch freshwater incant marigold pomposity solidarity" }, "290": { "input": "\nList: misogynist truss clothesman town count care while\n", "output": "care clothesman count misogynist town truss while" }, "291": { "input": "\nList: hummingbird handleable ii pimp manila rowdy chamber despite ham backpack namesake hearten rehabilitate connive wiener interpretive hydrous\n", "output": "backpack chamber connive despite ham handleable hearten hummingbird hydrous ii interpretive manila namesake pimp rehabilitate rowdy wiener" }, "292": { "input": "\nList: gourd seater corruption magnanimity dilettante alexandre hadron dovetail biochemic vase grump ego preston sidearm pathos lane auger shrive minsk\n", "output": "alexandre auger biochemic corruption dilettante dovetail ego gourd grump hadron lane magnanimity minsk pathos preston seater shrive sidearm vase" }, "293": { "input": "\nList: famine dense ad psych caucus eastbound arduous oblate warburton\n", "output": "ad arduous caucus dense eastbound famine oblate psych warburton" }, "294": { "input": "\nList: irresponsible prokaryote phantasm contemporaneous mercer applejack\n", "output": "applejack contemporaneous irresponsible mercer phantasm prokaryote" }, "295": { "input": "\nList: television offhand starkey annelid avert gesture greenberg intervention typesetter asymmetry anastigmat ethernet soapsud greedy\n", "output": "anastigmat annelid asymmetry avert ethernet gesture greedy greenberg intervention offhand soapsud starkey television typesetter" }, "296": { "input": "\nList: hayes breccia gymnasium chronography saunders yugoslavia threadbare toefl oar rummage voracious teddy azalea appraise\n", "output": "appraise azalea breccia chronography gymnasium hayes oar rummage saunders teddy threadbare toefl voracious yugoslavia" }, "297": { "input": "\nList: polytypy evaporate philanthropic novosibirsk shish\n", "output": "evaporate novosibirsk philanthropic polytypy shish" }, "298": { "input": "\nList: egghead galley nitroglycerine insignia tuft tablet ascetic mcelroy godmother sandusky quarrelsome menace espionage folic gabriel birch everyone male\n", "output": "ascetic birch egghead espionage everyone folic gabriel galley godmother insignia male mcelroy menace nitroglycerine quarrelsome sandusky tablet tuft" }, "299": { "input": "\nList: hoar felsite ceremony brewery currant\n", "output": "brewery ceremony currant felsite hoar" }, "300": { "input": "\nList: tapestry terrain handicapping imp puma\n", "output": "handicapping imp puma tapestry terrain" }, "301": { "input": "\nList: velvety watercress fabric neal hafnium sebastian posh almighty reconcile elite riven snowy necrosis titanic astringent\n", "output": "almighty astringent elite fabric hafnium neal necrosis posh reconcile riven sebastian snowy titanic velvety watercress" }, "302": { "input": "\nList: elegiac cockleshell stabile thyself armhole backplane coed chill scabrous\n", "output": "armhole backplane chill cockleshell coed elegiac scabrous stabile thyself" }, "303": { "input": "\nList: vote roy anomalous director bestow marlowe gauss jess myel kowalewski chain sedan halma wrist expressway acerbity sing hallmark\n", "output": "acerbity anomalous bestow chain director expressway gauss hallmark halma jess kowalewski marlowe myel roy sedan sing vote wrist" }, "304": { "input": "\nList: snivel surfactant hinge shipmen phonetic bought toluene esplanade tater spillover berry shepard badland teet paleolithic pencil offend apology figaro plagiarist\n", "output": "apology badland berry bought esplanade figaro hinge offend paleolithic pencil phonetic plagiarist shepard shipmen snivel spillover surfactant tater teet toluene" }, "305": { "input": "\nList: moat wristband binghamton\n", "output": "binghamton moat wristband" }, "306": { "input": "\nList: rastus anything defraud folklore flush hearse nightdress suckle avarice secretariat bomb inconsiderate macro\n", "output": "anything avarice bomb defraud flush folklore hearse inconsiderate macro nightdress rastus secretariat suckle" }, "307": { "input": "\nList: dandelion knoll ambitious intractable alberta spalding collard cumin hast caviness boundary condensate wit jukebox deduce rather parthia perceptual privet puffery\n", "output": "alberta ambitious boundary caviness collard condensate cumin dandelion deduce hast intractable jukebox knoll parthia perceptual privet puffery rather spalding wit" }, "308": { "input": "\nList: sidesaddle though lunge semi charcuterie iodate courage omelet coma guaranty fasciculate moreland wherewith lifeguard lozenge prey paralytic foothold shift\n", "output": "charcuterie coma courage fasciculate foothold guaranty iodate lifeguard lozenge lunge moreland omelet paralytic prey semi shift sidesaddle though wherewith" }, "309": { "input": "\nList: chang sweatshop benjamin sponsor earring bystander alastair jealousy coneflower tapir spiteful\n", "output": "alastair benjamin bystander chang coneflower earring jealousy spiteful sponsor sweatshop tapir" }, "310": { "input": "\nList: lithosphere francisco algonquian dunham skim cyprus quip foment eavesdrop please clamp diocesan ah dungeon lurch\n", "output": "ah algonquian clamp cyprus diocesan dungeon dunham eavesdrop foment francisco lithosphere lurch please quip skim" }, "311": { "input": "\nList: lunatic coprinus quagmire bethought euterpe\n", "output": "bethought coprinus euterpe lunatic quagmire" }, "312": { "input": "\nList: randolph wand hardhat coates shortcake pent paddy inferring peril woodstock withdraw lepidopterist aryl tropopause disputant vermiculite\n", "output": "aryl coates disputant hardhat inferring lepidopterist paddy pent peril randolph shortcake tropopause vermiculite wand withdraw woodstock" }, "313": { "input": "\nList: usurpation absenteeism salesian\n", "output": "absenteeism salesian usurpation" }, "314": { "input": "\nList: prosopopoeia martin distinguish kay luger chairperson siege manipulate cyclic chen toby odometer stoat xerxes\n", "output": "chairperson chen cyclic distinguish kay luger manipulate martin odometer prosopopoeia siege stoat toby xerxes" }, "315": { "input": "\nList: mastery documentation gates farm almagest canine\n", "output": "almagest canine documentation farm gates mastery" }, "316": { "input": "\nList: coherent dieldrin mournful jorgensen physician moreland excretory dreadful someplace juridic nimh ribbon\n", "output": "coherent dieldrin dreadful excretory jorgensen juridic moreland mournful nimh physician ribbon someplace" }, "317": { "input": "\nList: aquinas grayson spline domesticate po spray afternoon sunlight rhythm viewpoint vail julep coordinate dunk gegenschein\n", "output": "afternoon aquinas coordinate domesticate dunk gegenschein grayson julep po rhythm spline spray sunlight vail viewpoint" }, "318": { "input": "\nList: precision grammarian hick airport nucleolus trustworthy denizen yugoslavia fahey through ache inauthentic martial\n", "output": "ache airport denizen fahey grammarian hick inauthentic martial nucleolus precision through trustworthy yugoslavia" }, "319": { "input": "\nList: ammoniac storyteller pathbreaking breccia coast chili wring sappy picnicking media texture longitude ac protocol exempt libation should vi cathedral tandem\n", "output": "ac ammoniac breccia cathedral chili coast exempt libation longitude media pathbreaking picnicking protocol sappy should storyteller tandem texture vi wring" }, "320": { "input": "\nList: bankrupt homeowner sordid quip signal vocable silvery bergen meaty quitter onyx rockwell support cankerworm tetrahedron mosquitoes peccary peptide duckling\n", "output": "bankrupt bergen cankerworm duckling homeowner meaty mosquitoes onyx peccary peptide quip quitter rockwell signal silvery sordid support tetrahedron vocable" }, "321": { "input": "\nList: every annihilate how entrepreneur oligocene ouagadougou androgen deferred psychotherapeutic crankshaft\n", "output": "androgen annihilate crankshaft deferred entrepreneur every how oligocene ouagadougou psychotherapeutic" }, "322": { "input": "\nList: befit extramarital erudite rung squirmy hibbard seam infighting\n", "output": "befit erudite extramarital hibbard infighting rung seam squirmy" }, "323": { "input": "\nList: aesthete orthography indecisive accompany tower avogadro thessalonian gravid philosophic springtime raymond wahl caucasus just nausea candidate\n", "output": "accompany aesthete avogadro candidate caucasus gravid indecisive just nausea orthography philosophic raymond springtime thessalonian tower wahl" }, "324": { "input": "\nList: cuttlefish annex aromatic concision peon exfoliate sketchpad flaxseed hail eucre sperm billet\n", "output": "annex aromatic billet concision cuttlefish eucre exfoliate flaxseed hail peon sketchpad sperm" }, "325": { "input": "\nList: quicksand tribune sextans gavel proust menu malarial severalty wholesome mimeograph imperial agribusiness property serviceman\n", "output": "agribusiness gavel imperial malarial menu mimeograph property proust quicksand serviceman severalty sextans tribune wholesome" }, "326": { "input": "\nList: ideate conrail\n", "output": "conrail ideate" }, "327": { "input": "\nList: polyploidy saxophone glue\n", "output": "glue polyploidy saxophone" }, "328": { "input": "\nList: marrietta presentation sneeze\n", "output": "marrietta presentation sneeze" }, "329": { "input": "\nList: geminid meadow francoise insult abutting\n", "output": "abutting francoise geminid insult meadow" }, "330": { "input": "\nList: mawr kikuyu booklet osteopath hamal geology lin inputting scaup turban fishermen existent\n", "output": "booklet existent fishermen geology hamal inputting kikuyu lin mawr osteopath scaup turban" }, "331": { "input": "\nList: dew rico hagstrom filtrate dhabi acquire mercer hodgepodge pal\n", "output": "acquire dew dhabi filtrate hagstrom hodgepodge mercer pal rico" }, "332": { "input": "\nList: incendiary shaky decontrol disrupt bipolar copeland honeycomb crater traceable hoff dope\n", "output": "bipolar copeland crater decontrol disrupt dope hoff honeycomb incendiary shaky traceable" }, "333": { "input": "\nList: sikkim intrepid london gestation degum fiction jon ontology eva\n", "output": "degum eva fiction gestation intrepid jon london ontology sikkim" }, "334": { "input": "\nList: strongroom pillsbury delay\n", "output": "delay pillsbury strongroom" }, "335": { "input": "\nList: tuberculin soggy unwieldy indignity hydro scoundrel detestation delphi parka sink snug known bye gimbel bateman\n", "output": "bateman bye delphi detestation gimbel hydro indignity known parka scoundrel sink snug soggy tuberculin unwieldy" }, "336": { "input": "\nList: wast prom accomplish sicilian hibachi scandinavia excommunicate\n", "output": "accomplish excommunicate hibachi prom scandinavia sicilian wast" }, "337": { "input": "\nList: prank king bottleneck dreamboat frolic trilobite inequivalent bergman finnegan muir annale michelangelo physiotherapist\n", "output": "annale bergman bottleneck dreamboat finnegan frolic inequivalent king michelangelo muir physiotherapist prank trilobite" }, "338": { "input": "\nList: jersey parch incautious heck rigel slanderous hallmark meningitis man bangkok elm floor depend bona cancer glacis inspector slander\n", "output": "bangkok bona cancer depend elm floor glacis hallmark heck incautious inspector jersey man meningitis parch rigel slander slanderous" }, "339": { "input": "\nList: theresa shy detail coco notre asylum coma mould lung\n", "output": "asylum coco coma detail lung mould notre shy theresa" }, "340": { "input": "\nList: reinhold grasshopper honda coneflower nematode embezzle tuberculosis isn't rowdy oceanographer inholding leaden hub pyrometer alpheratz tachinid roundabout kalamazoo galvanic\n", "output": "alpheratz coneflower embezzle galvanic grasshopper honda hub inholding isn't kalamazoo leaden nematode oceanographer pyrometer reinhold roundabout rowdy tachinid tuberculosis" }, "341": { "input": "\nList: hibbard linguist persuade ascension droop percept amy hurwitz dehumidify spy efficacious veda\n", "output": "amy ascension dehumidify droop efficacious hibbard hurwitz linguist percept persuade spy veda" }, "342": { "input": "\nList: escapade flinch adduce frailty limpid radius veterinary citation emacs birthplace citywide affirm doleful emeriti acidify carrion conflict auk\n", "output": "acidify adduce affirm auk birthplace carrion citation citywide conflict doleful emacs emeriti escapade flinch frailty limpid radius veterinary" }, "343": { "input": "\nList: diem snappy methyl indy plead album hick suggestion common anastomosis\n", "output": "album anastomosis common diem hick indy methyl plead snappy suggestion" }, "344": { "input": "\nList: ponchartrain licentious ge compilation stagnate mutiny blight puppet gad devilish oswald schoolmate\n", "output": "blight compilation devilish gad ge licentious mutiny oswald ponchartrain puppet schoolmate stagnate" }, "345": { "input": "\nList: exoskeleton dater\n", "output": "dater exoskeleton" }, "346": { "input": "\nList: equity centrist constitution angora discuss epitome katharine profusion vine messy emphases extradition expressway\n", "output": "angora centrist constitution discuss emphases epitome equity expressway extradition katharine messy profusion vine" }, "347": { "input": "\nList: irreclaimable schlitz spitz silicon manifesto inn cufflink fusible collins habitant fractious sherry clue panicked alienate alameda autumnal sculptor\n", "output": "alameda alienate autumnal clue collins cufflink fractious fusible habitant inn irreclaimable manifesto panicked schlitz sculptor sherry silicon spitz" }, "348": { "input": "\nList: falter raj winston honoraria enormous bracken snack hodges huddle imposition bow alginate paradoxic\n", "output": "alginate bow bracken enormous falter hodges honoraria huddle imposition paradoxic raj snack winston" }, "349": { "input": "\nList: marx thieves chamberlain cosgrove fortnight giggle johanson seneca topheavy\n", "output": "chamberlain cosgrove fortnight giggle johanson marx seneca thieves topheavy" }, "350": { "input": "\nList: velvety scum alcohol crony rondo myeloid clinician\n", "output": "alcohol clinician crony myeloid rondo scum velvety" }, "351": { "input": "\nList: thalia commensurable ret menlo hilt timepiece nirvana nondescript fair laughlin haggle finish improvisate parisian tirade ave aerobacter\n", "output": "aerobacter ave commensurable fair finish haggle hilt improvisate laughlin menlo nirvana nondescript parisian ret thalia timepiece tirade" }, "352": { "input": "\nList: mitochondria defecate vanish orangutan homebuilding infantile injurious alive remedy seedbed hallow warehousemen secure avesta\n", "output": "alive avesta defecate hallow homebuilding infantile injurious mitochondria orangutan remedy secure seedbed vanish warehousemen" }, "353": { "input": "\nList: pinniped cahill negligible nuance upward negroid ingratiate gamut caution florin arteriole mercenary consternate sumptuous coat intolerant physiology onlooker umber\n", "output": "arteriole cahill caution coat consternate florin gamut ingratiate intolerant mercenary negligible negroid nuance onlooker physiology pinniped sumptuous umber upward" }, "354": { "input": "\nList: meadowsweet zoroastrian checkup laurie heroic babysat impunity dress reliquary parliamentary offenbach contemptible\n", "output": "babysat checkup contemptible dress heroic impunity laurie meadowsweet offenbach parliamentary reliquary zoroastrian" }, "355": { "input": "\nList: parvenu buck locale ferry salubrious deathward rotunda expand lee fritillary dumpy bookbind existent background pastoral hop nuance landis\n", "output": "background bookbind buck deathward dumpy existent expand ferry fritillary hop landis lee locale nuance parvenu pastoral rotunda salubrious" }, "356": { "input": "\nList: ethnic sect version versus polysaccharide videotape distinct terrain yond leaden smoky oyster mazda rawhide trap estimable postmortem bellicose crewmen\n", "output": "bellicose crewmen distinct estimable ethnic leaden mazda oyster polysaccharide postmortem rawhide sect smoky terrain trap version versus videotape yond" }, "357": { "input": "\nList: procedure spook cox reindeer sheathe revelatory tarry waller resorcinol bern respectful paint logic endometrial dunham eyelid widen hawthorne skopje\n", "output": "bern cox dunham endometrial eyelid hawthorne logic paint procedure reindeer resorcinol respectful revelatory sheathe skopje spook tarry waller widen" }, "358": { "input": "\nList: ablution littleton infectious gunpowder epigenetic arkansan layette dakota lair kitakyushu sumeria rasmussen salamander saleslady london\n", "output": "ablution arkansan dakota epigenetic gunpowder infectious kitakyushu lair layette littleton london rasmussen salamander saleslady sumeria" }, "359": { "input": "\nList: crystallographer armageddon horsemen phosphorylate watch fredericton smitten\n", "output": "armageddon crystallographer fredericton horsemen phosphorylate smitten watch" }, "360": { "input": "\nList: irremovable memorable leland peril pend cheek palaeontology autosuggestible garish purport among shortage\n", "output": "among autosuggestible cheek garish irremovable leland memorable palaeontology pend peril purport shortage" }, "361": { "input": "\nList: chen necropsy andalusia examine cleavage elder lacerta chadwick teacart puncture edematous codebreak esquire boyd adsorbate appian glycogen strawberry functor\n", "output": "adsorbate andalusia appian boyd chadwick chen cleavage codebreak edematous elder esquire examine functor glycogen lacerta necropsy puncture strawberry teacart" }, "362": { "input": "\nList: viennese hoagy conestoga anaphora heuser muscovy olivine buddy riboflavin exercise eukaryote october bonnie galley smoothbore weren't\n", "output": "anaphora bonnie buddy conestoga eukaryote exercise galley heuser hoagy muscovy october olivine riboflavin smoothbore viennese weren't" }, "363": { "input": "\nList: marry danubian clytemnestra potion actinide margaret plowshare rosenzweig pedant persecution problem messy acrylate weekend\n", "output": "acrylate actinide clytemnestra danubian margaret marry messy pedant persecution plowshare potion problem rosenzweig weekend" }, "364": { "input": "\nList: exciton norwich exodus extinct\n", "output": "exciton exodus extinct norwich" }, "365": { "input": "\nList: electrolytic adroit monica cayley sort latitudinal boxy workhorse davit seaside picnicking agrarian copeland circumcircle prig sap pore crutch heritage inattention\n", "output": "adroit agrarian boxy cayley circumcircle copeland crutch davit electrolytic heritage inattention latitudinal monica picnicking pore prig sap seaside sort workhorse" }, "366": { "input": "\nList: sternberg hewitt vend erskine or canal orwell tint earmark skeet analogy\n", "output": "analogy canal earmark erskine hewitt or orwell skeet sternberg tint vend" }, "367": { "input": "\nList: gm criminal campsite variate sideway\n", "output": "campsite criminal gm sideway variate" }, "368": { "input": "\nList: meanwhile bryan abernathy davy brooke beep\n", "output": "abernathy beep brooke bryan davy meanwhile" }, "369": { "input": "\nList: ye harangue aspen underived volunteer\n", "output": "aspen harangue underived volunteer ye" }, "370": { "input": "\nList: pineapple ceramic implore urinate cowpox sleepy whip rife\n", "output": "ceramic cowpox implore pineapple rife sleepy urinate whip" }, "371": { "input": "\nList: relevant pollock slouch penn beaujolais devotee caret spinster slavery emitting charlotte characteristic stipulate windy telex farmland starry mckesson dissociate aura\n", "output": "aura beaujolais caret characteristic charlotte devotee dissociate emitting farmland mckesson penn pollock relevant slavery slouch spinster starry stipulate telex windy" }, "372": { "input": "\nList: tail hinterland expedient boise rob physic probosces knutsen secret choice hannibal guess solvent diminution despond fasciculate secretariat methacrylate marmoset cottrell\n", "output": "boise choice cottrell despond diminution expedient fasciculate guess hannibal hinterland knutsen marmoset methacrylate physic probosces rob secret secretariat solvent tail" }, "373": { "input": "\nList: fruit epicure woodard radish larva khartoum transcribe revved mukluk lear part gonzales impound doormen snotty chancery emitter oscillatory magna\n", "output": "chancery doormen emitter epicure fruit gonzales impound khartoum larva lear magna mukluk oscillatory part radish revved snotty transcribe woodard" }, "374": { "input": "\nList: laboratory erotic josephine dart sutherland\n", "output": "dart erotic josephine laboratory sutherland" }, "375": { "input": "\nList: heidegger worse tuneful splint sierra conundrum inlaid eclipse binary abidjan causate dilettante altitude\n", "output": "abidjan altitude binary causate conundrum dilettante eclipse heidegger inlaid sierra splint tuneful worse" }, "376": { "input": "\nList: mcnally avoid riot efficient\n", "output": "avoid efficient mcnally riot" }, "377": { "input": "\nList: wack nostril diffuse matriarchy job spline dominique\n", "output": "diffuse dominique job matriarchy nostril spline wack" }, "378": { "input": "\nList: qualm room bradbury cement carpetbagger rapture daylight schoolhouse gunplay koenigsberg\n", "output": "bradbury carpetbagger cement daylight gunplay koenigsberg qualm rapture room schoolhouse" }, "379": { "input": "\nList: mankind sedimentation fairchild falter reclamation serviceable corduroy sultry moose dickey discordant phrasemake\n", "output": "corduroy dickey discordant fairchild falter mankind moose phrasemake reclamation sedimentation serviceable sultry" }, "380": { "input": "\nList: loci hope blur madame stagnate ms ceasefire primp opacity experiential carleton placenta abernathy casey watertight agglomerate\n", "output": "abernathy agglomerate blur carleton casey ceasefire experiential hope loci madame ms opacity placenta primp stagnate watertight" }, "381": { "input": "\nList: fife doubleheader grackle margaret vehicle plan adultery amen\n", "output": "adultery amen doubleheader fife grackle margaret plan vehicle" }, "382": { "input": "\nList: rainbow hinge sunset disulfide prague duane mitt averse motivate\n", "output": "averse disulfide duane hinge mitt motivate prague rainbow sunset" }, "383": { "input": "\nList: florida ariadne nimble crossover lumpy chromic galt abigail slapdash\n", "output": "abigail ariadne chromic crossover florida galt lumpy nimble slapdash" }, "384": { "input": "\nList: sedentary hardcopy carry\n", "output": "carry hardcopy sedentary" }, "385": { "input": "\nList: termite imitate armada period hans douglas\n", "output": "armada douglas hans imitate period termite" }, "386": { "input": "\nList: stupid workhorse way sabbatical\n", "output": "sabbatical stupid way workhorse" }, "387": { "input": "\nList: deflect sear incalculable eohippus point perspicuous shulman glut virginia downpour diamond occident\n", "output": "deflect diamond downpour eohippus glut incalculable occident perspicuous point sear shulman virginia" }, "388": { "input": "\nList: jeopard annapolis uniform swipe lodestone dysplasia darius sykes ferromagnet headline gorgeous tercel rum safari passport mixup verse hilltop turntable bantam\n", "output": "annapolis bantam darius dysplasia ferromagnet gorgeous headline hilltop jeopard lodestone mixup passport rum safari swipe sykes tercel turntable uniform verse" }, "389": { "input": "\nList: utah pyroxene noontime fresh bulblet\n", "output": "bulblet fresh noontime pyroxene utah" }, "390": { "input": "\nList: afterthought indebted sanctify carrie tribune lacy ingather sibling aide confront guildhall hibernia culpa womb christina scotsman celebratory\n", "output": "afterthought aide carrie celebratory christina confront culpa guildhall hibernia indebted ingather lacy sanctify scotsman sibling tribune womb" }, "391": { "input": "\nList: laminate bury bamako fishmonger cohen stanch spalding\n", "output": "bamako bury cohen fishmonger laminate spalding stanch" }, "392": { "input": "\nList: centric heidegger palestine croatia kermit cambridge\n", "output": "cambridge centric croatia heidegger kermit palestine" }, "393": { "input": "\nList: stevedore farther persia epoch tyson sixth collector\n", "output": "collector epoch farther persia sixth stevedore tyson" }, "394": { "input": "\nList: tuff dactyl joyride min tube coal jenkins franca increment pobox\n", "output": "coal dactyl franca increment jenkins joyride min pobox tube tuff" }, "395": { "input": "\nList: whet sal mood trackage nordhoff gulch obsequy galway shale ohm\n", "output": "galway gulch mood nordhoff obsequy ohm sal shale trackage whet" }, "396": { "input": "\nList: masculine ulcerate tor terminology kale inapplicable crosswalk functorial cavern twelvefold welsh poverty science cavort gilbert abuse orthicon gino berra\n", "output": "abuse berra cavern cavort crosswalk functorial gilbert gino inapplicable kale masculine orthicon poverty science terminology tor twelvefold ulcerate welsh" }, "397": { "input": "\nList: headboard kalmuk ursula fiberglas\n", "output": "fiberglas headboard kalmuk ursula" }, "398": { "input": "\nList: celebrity phosphine wrath befog t's\n", "output": "befog celebrity phosphine t's wrath" }, "399": { "input": "\nList: observation bette winkle toroidal\n", "output": "bette observation toroidal winkle" }, "400": { "input": "\nList: disaccharide savannah ruin starry booby niobe flamboyant clipboard antisemitic stopover smoke oxford dreamy beech savoyard sanicle platypus\n", "output": "antisemitic beech booby clipboard disaccharide dreamy flamboyant niobe oxford platypus ruin sanicle savannah savoyard smoke starry stopover" }, "401": { "input": "\nList: narrow threw haifa arcade aspheric\n", "output": "arcade aspheric haifa narrow threw" }, "402": { "input": "\nList: giveth nickname detestation hoard clothesman ambient ramsey hieratic shopkeep practice gadgetry endemic burgundian morgen\n", "output": "ambient burgundian clothesman detestation endemic gadgetry giveth hieratic hoard morgen nickname practice ramsey shopkeep" }, "403": { "input": "\nList: analyses communicate muff polio dim russell curvaceous fickle oneida werner imbrue armload yorktown golly\n", "output": "analyses armload communicate curvaceous dim fickle golly imbrue muff oneida polio russell werner yorktown" }, "404": { "input": "\nList: cayley telephotography coddington atkinson alcott inattention naacp prentice cincinnati careful\n", "output": "alcott atkinson careful cayley cincinnati coddington inattention naacp prentice telephotography" }, "405": { "input": "\nList: mace pipette\n", "output": "mace pipette" }, "406": { "input": "\nList: detergent clownish communicate vladimir propylene closeup sommelier fermentation onlooker\n", "output": "closeup clownish communicate detergent fermentation onlooker propylene sommelier vladimir" }, "407": { "input": "\nList: stiffen appease lunacy chin shame loamy rent lawson kilgore\n", "output": "appease chin kilgore lawson loamy lunacy rent shame stiffen" }, "408": { "input": "\nList: java snark shaman watkins spillover chick atwood musk dean warwick gaussian sermon stringy dandy\n", "output": "atwood chick dandy dean gaussian java musk sermon shaman snark spillover stringy warwick watkins" }, "409": { "input": "\nList: poverty stagecoach hellbender symbiont\n", "output": "hellbender poverty stagecoach symbiont" }, "410": { "input": "\nList: georgia tungstate mantel rhine monster fisherman stingray ulster metallurgist fief\n", "output": "fief fisherman georgia mantel metallurgist monster rhine stingray tungstate ulster" }, "411": { "input": "\nList: livermore pioneer epilepsy alveolar blinn nineteenth\n", "output": "alveolar blinn epilepsy livermore nineteenth pioneer" }, "412": { "input": "\nList: small script forceful heinrich knack adventure exile milwaukee plaudit splenetic mckenna corp forgave welch mackerel churchwoman\n", "output": "adventure churchwoman corp exile forceful forgave heinrich knack mackerel mckenna milwaukee plaudit script small splenetic welch" }, "413": { "input": "\nList: oaf stockroom implicant jugoslavia usps emile haydn shelve stickleback yankton subversive\n", "output": "emile haydn implicant jugoslavia oaf shelve stickleback stockroom subversive usps yankton" }, "414": { "input": "\nList: slag shearer tactic\n", "output": "shearer slag tactic" }, "415": { "input": "\nList: ebony furlong titian powderpuff squabble pabst latter copter tonsil masonite mcginnis theta mcdonnell tulip hostler cabinetmake rue removal\n", "output": "cabinetmake copter ebony furlong hostler latter masonite mcdonnell mcginnis pabst powderpuff removal rue squabble theta titian tonsil tulip" }, "416": { "input": "\nList: allocate pollinate track ineducable holcomb alto eisner\n", "output": "allocate alto eisner holcomb ineducable pollinate track" }, "417": { "input": "\nList: marathon deferring lucre stimuli rural depositor dreamy vault hyannis lysine\n", "output": "deferring depositor dreamy hyannis lucre lysine marathon rural stimuli vault" }, "418": { "input": "\nList: parabolic distillery waylay vogue stinkpot mandatory opposite brushwork oppressive slaughter audiovisual shoestring oppenheimer agenda privy gibbet\n", "output": "agenda audiovisual brushwork distillery gibbet mandatory oppenheimer opposite oppressive parabolic privy shoestring slaughter stinkpot vogue waylay" }, "419": { "input": "\nList: astronomer protean rajah haberman countryman sulphur optic frontal burlington barge carpet denominate bomb r's omission bale prothonotary nichols\n", "output": "astronomer bale barge bomb burlington carpet countryman denominate frontal haberman nichols omission optic protean prothonotary r's rajah sulphur" }, "420": { "input": "\nList: bookshelf malaria showmen youthful extendible friedman pugh punjab moore tallyho\n", "output": "bookshelf extendible friedman malaria moore pugh punjab showmen tallyho youthful" }, "421": { "input": "\nList: triangulate heterocyclic masque wreath primeval swede popular dull billy iodinate aldehyde pleura leftward holman chill impermissible corruption imperial jiggle equal\n", "output": "aldehyde billy chill corruption dull equal heterocyclic holman imperial impermissible iodinate jiggle leftward masque pleura popular primeval swede triangulate wreath" }, "422": { "input": "\nList: duplicable inexpensive breathtaking weinberg mickey veritable whalebone attest ireland fiftieth condescension illicit contract fanny scorn veto\n", "output": "attest breathtaking condescension contract duplicable fanny fiftieth illicit inexpensive ireland mickey scorn veritable veto weinberg whalebone" }, "423": { "input": "\nList: imprecise album parthenon pillsbury\n", "output": "album imprecise parthenon pillsbury" }, "424": { "input": "\nList: stationmaster thunderflower\n", "output": "stationmaster thunderflower" }, "425": { "input": "\nList: doom groundhog bluebird quadrilateral phosphorous\n", "output": "bluebird doom groundhog phosphorous quadrilateral" }, "426": { "input": "\nList: verbena duplicity audio rampage gregory contrariety axiomatic aphelion jugoslavia baffle appanage circadian\n", "output": "aphelion appanage audio axiomatic baffle circadian contrariety duplicity gregory jugoslavia rampage verbena" }, "427": { "input": "\nList: upwell chantry allspice cavilling\n", "output": "allspice cavilling chantry upwell" }, "428": { "input": "\nList: prophetic fabulous fraught frustrater\n", "output": "fabulous fraught frustrater prophetic" }, "429": { "input": "\nList: molten lament pennant bois wetland sleight baudelaire\n", "output": "baudelaire bois lament molten pennant sleight wetland" }, "430": { "input": "\nList: gill precipice antigone remote epigenetic arbitrary complementation fantastic mutt fount\n", "output": "antigone arbitrary complementation epigenetic fantastic fount gill mutt precipice remote" }, "431": { "input": "\nList: gardner kibbutzim edwardine tallahassee alcott marquee distribution pitney bellingham brainy soundproof rennet prostrate minotaur rubric pyramid\n", "output": "alcott bellingham brainy distribution edwardine gardner kibbutzim marquee minotaur pitney prostrate pyramid rennet rubric soundproof tallahassee" }, "432": { "input": "\nList: ares judaism man shopworn irritant code agone genesis desultory hydrogenate leitmotif pushy\n", "output": "agone ares code desultory genesis hydrogenate irritant judaism leitmotif man pushy shopworn" }, "433": { "input": "\nList: eddy poseur minus fetch bainite dowitcher electroencephalograph incorrect lore\n", "output": "bainite dowitcher eddy electroencephalograph fetch incorrect lore minus poseur" }, "434": { "input": "\nList: place honorific pennant foam small mafioso chicano arrogate monolith triassic strum broody assonant subliminal\n", "output": "arrogate assonant broody chicano foam honorific mafioso monolith pennant place small strum subliminal triassic" }, "435": { "input": "\nList: kingsley thruway reprisal baronial kidnap holeable carabao etude saturable peterson deal pinhole offspring soy gaberones\n", "output": "baronial carabao deal etude gaberones holeable kidnap kingsley offspring peterson pinhole reprisal saturable soy thruway" }, "436": { "input": "\nList: geese kinesic birgit coral amherst teacup donald statuesque laborious turpitude befogging\n", "output": "amherst befogging birgit coral donald geese kinesic laborious statuesque teacup turpitude" }, "437": { "input": "\nList: caliber lubricity captain kale opthalmology manama octopus scabrous sibyl sagging disputant underling who'd dylan shah\n", "output": "caliber captain disputant dylan kale lubricity manama octopus opthalmology sagging scabrous shah sibyl underling who'd" }, "438": { "input": "\nList: automata trite information splintery giacomo tedium compensatory\n", "output": "automata compensatory giacomo information splintery tedium trite" }, "439": { "input": "\nList: phosphoric stylus mobile\n", "output": "mobile phosphoric stylus" }, "440": { "input": "\nList: seminal haphazard idiom slough silkworm glycerine abel amanita paraboloidal peruvian owl pollution reuters scot lifeboat stricken been\n", "output": "abel amanita been glycerine haphazard idiom lifeboat owl paraboloidal peruvian pollution reuters scot seminal silkworm slough stricken" }, "441": { "input": "\nList: fractious reversal\n", "output": "fractious reversal" }, "442": { "input": "\nList: quakeress giddap simmons orange martensite headwind ruination nco stanhope aurora onset averred o'neill peugeot disgruntle kingbird hydroxyl photography sentient opt\n", "output": "aurora averred disgruntle giddap headwind hydroxyl kingbird martensite nco o'neill onset opt orange peugeot photography quakeress ruination sentient simmons stanhope" }, "443": { "input": "\nList: breakup rattail roulette slap pentagonal onlooker qatar edit bypass vichy anvil astronomy suspense desegregate embarrass\n", "output": "anvil astronomy breakup bypass desegregate edit embarrass onlooker pentagonal qatar rattail roulette slap suspense vichy" }, "444": { "input": "\nList: camino skip flesh bimolecular horse seam catch turnabout puzzle whimsy lionel putrefy rene\n", "output": "bimolecular camino catch flesh horse lionel putrefy puzzle rene seam skip turnabout whimsy" }, "445": { "input": "\nList: idolatry special excretion houghton mulish corrigendum maniacal proteolytic karen promethium peppery aquinas elk depressible scratch\n", "output": "aquinas corrigendum depressible elk excretion houghton idolatry karen maniacal mulish peppery promethium proteolytic scratch special" }, "446": { "input": "\nList: beecham politic\n", "output": "beecham politic" }, "447": { "input": "\nList: fungal cascade needlepoint irrefutable rasmussen uncouth tektite giantess glassy grace beforehand va rarefy\n", "output": "beforehand cascade fungal giantess glassy grace irrefutable needlepoint rarefy rasmussen tektite uncouth va" }, "448": { "input": "\nList: synaptic windowpane coequal\n", "output": "coequal synaptic windowpane" }, "449": { "input": "\nList: centripetal suicidal empty irving\n", "output": "centripetal empty irving suicidal" }, "450": { "input": "\nList: marzipan mousy caiman victory scatterbrain appraisal rood bridgehead imprecise beachhead befoul truss wolfe richard cryptanalyst stun rhapsodic muse\n", "output": "appraisal beachhead befoul bridgehead caiman cryptanalyst imprecise marzipan mousy muse rhapsodic richard rood scatterbrain stun truss victory wolfe" }, "451": { "input": "\nList: lorry privy\n", "output": "lorry privy" }, "452": { "input": "\nList: pneumonia insistent handymen basal crandall levi sough proclaim abide sharpshoot beachhead\n", "output": "abide basal beachhead crandall handymen insistent levi pneumonia proclaim sharpshoot sough" }, "453": { "input": "\nList: priscilla plop workforce arithmetic snug hoarse basidiomycetes rector volt analogy otherwise excruciate ploy delegable void harmony\n", "output": "analogy arithmetic basidiomycetes delegable excruciate harmony hoarse otherwise plop ploy priscilla rector snug void volt workforce" }, "454": { "input": "\nList: britannica sweepstake springtime militia groton acropolis indigent asteroid custodial bighorn\n", "output": "acropolis asteroid bighorn britannica custodial groton indigent militia springtime sweepstake" }, "455": { "input": "\nList: edifice dread downgrade supranational postlude horticulture fortitude accede harley lactate yardstick\n", "output": "accede downgrade dread edifice fortitude harley horticulture lactate postlude supranational yardstick" }, "456": { "input": "\nList: sheepskin bentham heavyset rang fright wharves hollerith nectarine marjory annulus foxglove island harsh brandish kalmuk pion\n", "output": "annulus bentham brandish foxglove fright harsh heavyset hollerith island kalmuk marjory nectarine pion rang sheepskin wharves" }, "457": { "input": "\nList: tincture showdown clank ragusan sewerage champlain embank coach psychosomatic segregate tularemia discus luis impersonal harcourt crutch tribulate bald technion\n", "output": "bald champlain clank coach crutch discus embank harcourt impersonal luis psychosomatic ragusan segregate sewerage showdown technion tincture tribulate tularemia" }, "458": { "input": "\nList: chord buttermilk incubi booky delve ardent commandeer inexplicable\n", "output": "ardent booky buttermilk chord commandeer delve incubi inexplicable" }, "459": { "input": "\nList: birthplace orchestral differential cider midspan\n", "output": "birthplace cider differential midspan orchestral" }, "460": { "input": "\nList: blaspheme milky lexical pocket oxidant they've mcallister planeload decontrol patchy munificent mcnally cradle cadmium architectural heaven\n", "output": "architectural blaspheme cadmium cradle decontrol heaven lexical mcallister mcnally milky munificent oxidant patchy planeload pocket they've" }, "461": { "input": "\nList: physique pancreas clogging saxony ex hippo basque niacin coxcomb synapse scent nightshade sub spider braun loud north decompression prosper\n", "output": "basque braun clogging coxcomb decompression ex hippo loud niacin nightshade north pancreas physique prosper saxony scent spider sub synapse" }, "462": { "input": "\nList: locutor barnes splintery apocalypse java colonnade inconvenient info planoconcave offbeat thousand parch solemn marrow crap verisimilitude appraisal\n", "output": "apocalypse appraisal barnes colonnade crap inconvenient info java locutor marrow offbeat parch planoconcave solemn splintery thousand verisimilitude" }, "463": { "input": "\nList: fda farewell odyssey mardi complacent ellipsis tektronix americana literacy bedraggle subtle fertile ruben louisiana chianti emanuel\n", "output": "americana bedraggle chianti complacent ellipsis emanuel farewell fda fertile literacy louisiana mardi odyssey ruben subtle tektronix" }, "464": { "input": "\nList: discovery interim libreville grit yesteryear circumference buckle drool skulk baobab whey hanoverian vulture charybdis detector hyena sarsparilla\n", "output": "baobab buckle charybdis circumference detector discovery drool grit hanoverian hyena interim libreville sarsparilla skulk vulture whey yesteryear" }, "465": { "input": "\nList: flashy yourself two choke serology mummify plume proliferate\n", "output": "choke flashy mummify plume proliferate serology two yourself" }, "466": { "input": "\nList: pilferage collimate cowry eft hallucinogenic splendid scowl rustic irresolute convoke victor fount justinian\n", "output": "collimate convoke cowry eft fount hallucinogenic irresolute justinian pilferage rustic scowl splendid victor" }, "467": { "input": "\nList: neoclassic knot page spat gloss contrapositive jowly suspense excel alpert philodendron photo thomas sweetish resilient cadent shotbush\n", "output": "alpert cadent contrapositive excel gloss jowly knot neoclassic page philodendron photo resilient shotbush spat suspense sweetish thomas" }, "468": { "input": "\nList: syntactic trainload insulate plank baklava calamus malawi deerstalker\n", "output": "baklava calamus deerstalker insulate malawi plank syntactic trainload" }, "469": { "input": "\nList: viscosity kelly mckenzie ascription prolusion pacesetting paul\n", "output": "ascription kelly mckenzie pacesetting paul prolusion viscosity" }, "470": { "input": "\nList: mechanic plummet hock dietrich schnabel sake font monolith gee spring wineskin q's\n", "output": "dietrich font gee hock mechanic monolith plummet q's sake schnabel spring wineskin" }, "471": { "input": "\nList: teenage gulp butane aura librate they spoken trillion sup queue teal snagging\n", "output": "aura butane gulp librate queue snagging spoken sup teal teenage they trillion" }, "472": { "input": "\nList: round heathen pragmatic occurred hungary inquisitor berate bethesda horsedom\n", "output": "berate bethesda heathen horsedom hungary inquisitor occurred pragmatic round" }, "473": { "input": "\nList: cottonmouth hydrocyanic okay jugate spurt aldebaran patrilineal mouthpiece\n", "output": "aldebaran cottonmouth hydrocyanic jugate mouthpiece okay patrilineal spurt" }, "474": { "input": "\nList: mermaid beach goblet spinnaker ribosome saguaro germinate trainman slat\n", "output": "beach germinate goblet mermaid ribosome saguaro slat spinnaker trainman" }, "475": { "input": "\nList: upheld reformatory ursa debility parse antiquarian\n", "output": "antiquarian debility parse reformatory upheld ursa" }, "476": { "input": "\nList: hypnosis rockabye supernatant wick venom nordhoff rudolph aztec applique associable silage taught target ncaa buick godwin goddard promotion\n", "output": "applique associable aztec buick goddard godwin hypnosis ncaa nordhoff promotion rockabye rudolph silage supernatant target taught venom wick" }, "477": { "input": "\nList: democracy houghton\n", "output": "democracy houghton" }, "478": { "input": "\nList: afar nullstellensatz icelandic farsighted vow obnoxious brothel around anachronistic handbook hackle schultz vivacious\n", "output": "afar anachronistic around brothel farsighted hackle handbook icelandic nullstellensatz obnoxious schultz vivacious vow" }, "479": { "input": "\nList: mephistopheles glycogen schafer hygroscopic poole vinaigrette veracious algol averred\n", "output": "algol averred glycogen hygroscopic mephistopheles poole schafer veracious vinaigrette" }, "480": { "input": "\nList: tort then twelve mollify dravidian dusseldorf bessel putty minestrone courtroom debility grasp we'll shmuel nashville validate johnstown phraseology extinguish\n", "output": "bessel courtroom debility dravidian dusseldorf extinguish grasp johnstown minestrone mollify nashville phraseology putty shmuel then tort twelve validate we'll" }, "481": { "input": "\nList: magistrate tradeoff appropriable diaper contractor impeccable randy mock pedant suave\n", "output": "appropriable contractor diaper impeccable magistrate mock pedant randy suave tradeoff" }, "482": { "input": "\nList: absorptive asynchronous hereinabove bouncy bluish northumberland award paean alluvium whistleable cygnus heft nematode tutelage escapee baroness friday spangle\n", "output": "absorptive alluvium asynchronous award baroness bluish bouncy cygnus escapee friday heft hereinabove nematode northumberland paean spangle tutelage whistleable" }, "483": { "input": "\nList: raze i.e arcade dorsal ignoble glomerular dominate marijuana quadrant bondage\n", "output": "arcade bondage dominate dorsal glomerular i.e ignoble marijuana quadrant raze" }, "484": { "input": "\nList: comedy claret buchenwald dredge buffoon reconcile bonanza olefin corpus winsome tease bred indies gut colatitude nationwide irrecoverable chorale curious librettist\n", "output": "bonanza bred buchenwald buffoon chorale claret colatitude comedy corpus curious dredge gut indies irrecoverable librettist nationwide olefin reconcile tease winsome" }, "485": { "input": "\nList: pacify discriminatory captious\n", "output": "captious discriminatory pacify" }, "486": { "input": "\nList: nairobi mummy cetus olav narcotic litigant inconsiderate conciliate lymphocyte pit pillar hole perchlorate enumerable perceptual\n", "output": "cetus conciliate enumerable hole inconsiderate litigant lymphocyte mummy nairobi narcotic olav perceptual perchlorate pillar pit" }, "487": { "input": "\nList: pull address kid ernest hyphenate racial morristown hippie contractual prickle summary\n", "output": "address contractual ernest hippie hyphenate kid morristown prickle pull racial summary" }, "488": { "input": "\nList: exegesis clerk crimson extoller freckle gratify wheel tonic palisade jump colloquial italian automate jacob wrack saturday regurgitate stanley gelatin\n", "output": "automate clerk colloquial crimson exegesis extoller freckle gelatin gratify italian jacob jump palisade regurgitate saturday stanley tonic wheel wrack" }, "489": { "input": "\nList: reciprocate jo\n", "output": "jo reciprocate" }, "490": { "input": "\nList: aeschylus selfadjoint upstate billiken melancholy hun pittsfield melodramatic academician arteriolosclerosis hilltop pilfer\n", "output": "academician aeschylus arteriolosclerosis billiken hilltop hun melancholy melodramatic pilfer pittsfield selfadjoint upstate" }, "491": { "input": "\nList: spirit jonas seclusion yogi zagreb\n", "output": "jonas seclusion spirit yogi zagreb" }, "492": { "input": "\nList: imponderable reserpine frigga mcdougall vaudeville procedural formulate nuclear guardian alkaloid regimen larceny cryostat runyon lozenge\n", "output": "alkaloid cryostat formulate frigga guardian imponderable larceny lozenge mcdougall nuclear procedural regimen reserpine runyon vaudeville" }, "493": { "input": "\nList: discus tank practicable watershed laurentian\n", "output": "discus laurentian practicable tank watershed" }, "494": { "input": "\nList: liveth ricotta gambia broomcorn\n", "output": "broomcorn gambia liveth ricotta" }, "495": { "input": "\nList: postmen store quartermaster vee fleet pounce goad papyri affix abuse grassy melanoma diebold stalk waken\n", "output": "abuse affix diebold fleet goad grassy melanoma papyri postmen pounce quartermaster stalk store vee waken" }, "496": { "input": "\nList: haversack plumbago xhosa dal laugh smudge primordial accuracy northbound salutory stretch tamp caroline geocentric\n", "output": "accuracy caroline dal geocentric haversack laugh northbound plumbago primordial salutory smudge stretch tamp xhosa" }, "497": { "input": "\nList: spatula boston soy possum foss savanna necrotic tunis gloomy never bogey loess retrieval perfect technician\n", "output": "bogey boston foss gloomy loess necrotic never perfect possum retrieval savanna soy spatula technician tunis" }, "498": { "input": "\nList: peoria woodside debate groundskeep pantheist stodgy adverbial catawba disgustful glaciate muffle tingle dressmake chintz maya troff\n", "output": "adverbial catawba chintz debate disgustful dressmake glaciate groundskeep maya muffle pantheist peoria stodgy tingle troff woodside" }, "499": { "input": "\nList: sick osteoporosis cepheus bahama skillet andersen baffle neuritis corrupt amelia kane\n", "output": "amelia andersen baffle bahama cepheus corrupt kane neuritis osteoporosis sick skillet" }, "500": { "input": "\nList: soprano deacon tenspot theodore\n", "output": "deacon soprano tenspot theodore" }, "501": { "input": "\nList: knoxville tributary epigraph paramagnet stolen milt socioeconomic daydream fpc antwerp trade glottis literacy tepid\n", "output": "antwerp daydream epigraph fpc glottis knoxville literacy milt paramagnet socioeconomic stolen tepid trade tributary" }, "502": { "input": "\nList: perusal pax coset rapprochement handsome nightshade colloidal extensible lycopodium cowman impractical growth williamsburg altar cardiovascular\n", "output": "altar cardiovascular colloidal coset cowman extensible growth handsome impractical lycopodium nightshade pax perusal rapprochement williamsburg" }, "503": { "input": "\nList: onus pend unity excommunicate thresh herodotus pennant bandwidth thereabouts tyrannicide tty scrappy neuropsychiatric confirm\n", "output": "bandwidth confirm excommunicate herodotus neuropsychiatric onus pend pennant scrappy thereabouts thresh tty tyrannicide unity" }, "504": { "input": "\nList: whitehead stubble clausen moll provide phenolic segmentation excursus chuff drive oaken kitchen clench vicar grackle woodwind\n", "output": "chuff clausen clench drive excursus grackle kitchen moll oaken phenolic provide segmentation stubble vicar whitehead woodwind" }, "505": { "input": "\nList: rib textual sire droplet cicero origin oxidant fatty enumerable nobelium workplace\n", "output": "cicero droplet enumerable fatty nobelium origin oxidant rib sire textual workplace" }, "506": { "input": "\nList: stockade commiserate amanita volatile patron marijuana sus marlin indisputable irresolute taskmaster wick peale jan sassafras likeable shack urethra vitamin pinhole\n", "output": "amanita commiserate indisputable irresolute jan likeable marijuana marlin patron peale pinhole sassafras shack stockade sus taskmaster urethra vitamin volatile wick" }, "507": { "input": "\nList: juno backplane parcel afoot catatonic quibble camden jo public lea chantey fact oscar mallory striptease monmouth\n", "output": "afoot backplane camden catatonic chantey fact jo juno lea mallory monmouth oscar parcel public quibble striptease" }, "508": { "input": "\nList: lubricant mug desecrater hyde pansy estoppal strategist amigo gjetost pregnant tristan recumbent mccoy frock trastevere smith i'd whizzing\n", "output": "amigo desecrater estoppal frock gjetost hyde i'd lubricant mccoy mug pansy pregnant recumbent smith strategist trastevere tristan whizzing" }, "509": { "input": "\nList: mcclellan lindsay kerygma privet oxalate paratroop anachronistic gibbon\n", "output": "anachronistic gibbon kerygma lindsay mcclellan oxalate paratroop privet" }, "510": { "input": "\nList: fugal coldhearted khmer wainscot tyranny poliomyelitis build vetch compensatory glide aborning\n", "output": "aborning build coldhearted compensatory fugal glide khmer poliomyelitis tyranny vetch wainscot" }, "511": { "input": "\nList: introit confession promulgate plump lyra statesman tear balky reuben valine instrument\n", "output": "balky confession instrument introit lyra plump promulgate reuben statesman tear valine" }, "512": { "input": "\nList: mailmen flagpole fafnir maurice aboriginal televise archive mask desultory eviscerate farkas durable mimicry riparian retinue brouhaha excite\n", "output": "aboriginal archive brouhaha desultory durable eviscerate excite fafnir farkas flagpole mailmen mask maurice mimicry retinue riparian televise" }, "513": { "input": "\nList: perseid ulan digestion billie dalton connoisseur sub anton polite incant condition cloaca bottleneck texaco grey prospect\n", "output": "anton billie bottleneck cloaca condition connoisseur dalton digestion grey incant perseid polite prospect sub texaco ulan" }, "514": { "input": "\nList: convey chapter\n", "output": "chapter convey" }, "515": { "input": "\nList: horsedom actaeon\n", "output": "actaeon horsedom" }, "516": { "input": "\nList: inapplicable dorado ulna hirsch fecund coverlet trafficked cosmos gannet exclusive electrify fawn easy ptolemaic indignation\n", "output": "cosmos coverlet dorado easy electrify exclusive fawn fecund gannet hirsch inapplicable indignation ptolemaic trafficked ulna" }, "517": { "input": "\nList: o barrett relish eyelash embryology sonny apoplectic stuff impatient nocturnal bradford mitochondria homologue funny paulus ferreira chinamen\n", "output": "apoplectic barrett bradford chinamen embryology eyelash ferreira funny homologue impatient mitochondria nocturnal o paulus relish sonny stuff" }, "518": { "input": "\nList: gam furtive vandenberg debonair lowdown learn butch was happen derange\n", "output": "butch debonair derange furtive gam happen learn lowdown vandenberg was" }, "519": { "input": "\nList: astute pigroot testament fed informal inch solicit monsieur\n", "output": "astute fed inch informal monsieur pigroot solicit testament" }, "520": { "input": "\nList: dan global vigorous wad crept autumnal\n", "output": "autumnal crept dan global vigorous wad" }, "521": { "input": "\nList: vary cottonseed rawhide anne drizzly picayune mourn gantlet dunkirk tenebrous baltimorean benedict andrew churchyard influence excruciate pete brighton\n", "output": "andrew anne baltimorean benedict brighton churchyard cottonseed drizzly dunkirk excruciate gantlet influence mourn pete picayune rawhide tenebrous vary" }, "522": { "input": "\nList: marco mckenzie metalliferous nebulae\n", "output": "marco mckenzie metalliferous nebulae" }, "523": { "input": "\nList: howell brutal altruism fly nolan aleph leathery erotic tipsy estoppal invidious ellipsis polysemy barracuda loophole flotilla stanley sisal greedy draftsman\n", "output": "aleph altruism barracuda brutal draftsman ellipsis erotic estoppal flotilla fly greedy howell invidious leathery loophole nolan polysemy sisal stanley tipsy" }, "524": { "input": "\nList: formaldehyde uniplex cloudy gloom bravado imitable textual besmirch foist inch gobble row syzygy\n", "output": "besmirch bravado cloudy foist formaldehyde gloom gobble imitable inch row syzygy textual uniplex" }, "525": { "input": "\nList: chrome nectary substantial belt twombly organdy\n", "output": "belt chrome nectary organdy substantial twombly" }, "526": { "input": "\nList: inaccurate influence octoroon fox mobcap indentation dogberry merriam asynchronous\n", "output": "asynchronous dogberry fox inaccurate indentation influence merriam mobcap octoroon" }, "527": { "input": "\nList: stocky walton earthen yond whalebone brown doldrum claw carcinogen champ cornet thoriate queen gymnastic finish mccarty patriotic heighten nymphomaniac\n", "output": "brown carcinogen champ claw cornet doldrum earthen finish gymnastic heighten mccarty nymphomaniac patriotic queen stocky thoriate walton whalebone yond" }, "528": { "input": "\nList: bequeath mu wit intuit adjudge indispose barycentric shoehorn shortstop biopsy alpert phosphor tarpon cowherd conakry bathe pop dc carousel nocturnal\n", "output": "adjudge alpert barycentric bathe bequeath biopsy carousel conakry cowherd dc indispose intuit mu nocturnal phosphor pop shoehorn shortstop tarpon wit" }, "529": { "input": "\nList: ligand dowry bulwark kumquat illicit bawd contusion steadfast inoperative staley edgerton sanderling produce crowbar ptolemaic sonoma clemens juggernaut hump\n", "output": "bawd bulwark clemens contusion crowbar dowry edgerton hump illicit inoperative juggernaut kumquat ligand produce ptolemaic sanderling sonoma staley steadfast" }, "530": { "input": "\nList: town machinery saratoga sac handle circumvent horseshoe bergman handel accra widget strive cashier cycad heyday berkshire\n", "output": "accra bergman berkshire cashier circumvent cycad handel handle heyday horseshoe machinery sac saratoga strive town widget" }, "531": { "input": "\nList: triplet acidulate boil rutty celebes\n", "output": "acidulate boil celebes rutty triplet" }, "532": { "input": "\nList: r confessor abridge schoolyard gusty vicinity fledge bangle oblong formatted administrable hinterland\n", "output": "abridge administrable bangle confessor fledge formatted gusty hinterland oblong r schoolyard vicinity" }, "533": { "input": "\nList: mouthful x whizzing helmsmen playback handbag posh quicksilver knives miasma woodcut convene\n", "output": "convene handbag helmsmen knives miasma mouthful playback posh quicksilver whizzing woodcut x" }, "534": { "input": "\nList: infamy kaolinite stem imputation connote pumpkin jr planetesimal stressful muscular heterodyne\n", "output": "connote heterodyne imputation infamy jr kaolinite muscular planetesimal pumpkin stem stressful" }, "535": { "input": "\nList: rochester gannett exercisable piazza juan roundabout\n", "output": "exercisable gannett juan piazza rochester roundabout" }, "536": { "input": "\nList: cyclopean burnout seismography uniplex hillbilly hexagonal embodiment\n", "output": "burnout cyclopean embodiment hexagonal hillbilly seismography uniplex" }, "537": { "input": "\nList: pharmacy fingerling degradation inhabitant middleweight errand heterosexual\n", "output": "degradation errand fingerling heterosexual inhabitant middleweight pharmacy" }, "538": { "input": "\nList: mercenary afterimage impel crib interruptible homologous pensive chinese adjunct queasy shakeable chamois prize symbiosis necrotic\n", "output": "adjunct afterimage chamois chinese crib homologous impel interruptible mercenary necrotic pensive prize queasy shakeable symbiosis" }, "539": { "input": "\nList: scalar bufflehead handicapped peterson congestion saponify scrimmage athens pact nitrogen brigand bibliophile sweet\n", "output": "athens bibliophile brigand bufflehead congestion handicapped nitrogen pact peterson saponify scalar scrimmage sweet" }, "540": { "input": "\nList: whirl connubial aberrant baritone mcgovern scrim damascus nematocyst blitzkrieg geometrician taste\n", "output": "aberrant baritone blitzkrieg connubial damascus geometrician mcgovern nematocyst scrim taste whirl" }, "541": { "input": "\nList: feedback clarendon\n", "output": "clarendon feedback" }, "542": { "input": "\nList: occident gasket halley doormen profile haystack bong daley syllable shoshone skip catalina coltsfoot before comprehension bub\n", "output": "before bong bub catalina coltsfoot comprehension daley doormen gasket halley haystack occident profile shoshone skip syllable" }, "543": { "input": "\nList: pariah klaxon stadium marsh arpa inexpensive postlude airtight mossy redmond andorra prosaic monogamous head dugong congolese he nudibranch rend inveigh\n", "output": "airtight andorra arpa congolese dugong he head inexpensive inveigh klaxon marsh monogamous mossy nudibranch pariah postlude prosaic redmond rend stadium" }, "544": { "input": "\nList: pelagic perkins teahouse ida apiece tanh canfield implausible hatchway dynast forbade erik imputation warmhearted lifestyle index transmitting ingenious tetrahedral\n", "output": "apiece canfield dynast erik forbade hatchway ida implausible imputation index ingenious lifestyle pelagic perkins tanh teahouse tetrahedral transmitting warmhearted" }, "545": { "input": "\nList: ackerman rare nowadays photolytic cypriot seaborg liaison cent burnout pronto hetman taipei protophyta ferruginous sierra arctic trinket rivet punitive splotch\n", "output": "ackerman arctic burnout cent cypriot ferruginous hetman liaison nowadays photolytic pronto protophyta punitive rare rivet seaborg sierra splotch taipei trinket" }, "546": { "input": "\nList: young deterrent lace exude semantic citrate haunt fuji dissension typography appropriate portmanteau nary sagacious volunteer wry obsolete slosh\n", "output": "appropriate citrate deterrent dissension exude fuji haunt lace nary obsolete portmanteau sagacious semantic slosh typography volunteer wry young" }, "547": { "input": "\nList: derail upset baseboard vigilant\n", "output": "baseboard derail upset vigilant" }, "548": { "input": "\nList: that'll rhombic intermittent\n", "output": "intermittent rhombic that'll" }, "549": { "input": "\nList: mutatis nether douglas lambda begun loblolly film authenticate talc\n", "output": "authenticate begun douglas film lambda loblolly mutatis nether talc" }, "550": { "input": "\nList: necrosis dismal heroin incompetent shod munch gravy\n", "output": "dismal gravy heroin incompetent munch necrosis shod" }, "551": { "input": "\nList: frugal exclude magnesite pinhead statesmen adventitious lounge crumb connoisseur beltsville ucla technique grandmother\n", "output": "adventitious beltsville connoisseur crumb exclude frugal grandmother lounge magnesite pinhead statesmen technique ucla" }, "552": { "input": "\nList: descriptive ebullient gaines cardboard gavel\n", "output": "cardboard descriptive ebullient gaines gavel" }, "553": { "input": "\nList: nerve skindive toluene vagrant gagging convolution stomp inconvertible barnum impeach\n", "output": "barnum convolution gagging impeach inconvertible nerve skindive stomp toluene vagrant" }, "554": { "input": "\nList: tetrahedra zounds cynthia bob mercenary elliot calve leatherback bandstop lisp headstrong shaffer album jargon dapple culpable ace mycorrhiza huckleberry\n", "output": "ace album bandstop bob calve culpable cynthia dapple elliot headstrong huckleberry jargon leatherback lisp mercenary mycorrhiza shaffer tetrahedra zounds" }, "555": { "input": "\nList: herd hindmost people rhombi nashua gradient silk sparta symbiosis enzyme avocado olivetti euphoric newfound greenberg checkout havoc treason kremlin quay\n", "output": "avocado checkout enzyme euphoric gradient greenberg havoc herd hindmost kremlin nashua newfound olivetti people quay rhombi silk sparta symbiosis treason" }, "556": { "input": "\nList: sinology thanksgiving culpable packet popular regent nematocyst suspect\n", "output": "culpable nematocyst packet popular regent sinology suspect thanksgiving" }, "557": { "input": "\nList: gamete embraceable comptroller trespass causate hysteron exoskeleta datsun requisite guidebook royalty drawbridge\n", "output": "causate comptroller datsun drawbridge embraceable exoskeleta gamete guidebook hysteron requisite royalty trespass" }, "558": { "input": "\nList: everett professorial lutz communique ulterior leningrad lacunae bainite stance icicle wingspread locomotor exotica\n", "output": "bainite communique everett exotica icicle lacunae leningrad locomotor lutz professorial stance ulterior wingspread" }, "559": { "input": "\nList: lawsuit toad mice abut repudiate conformation bauer mackintosh angle goucher\n", "output": "abut angle bauer conformation goucher lawsuit mackintosh mice repudiate toad" }, "560": { "input": "\nList: inmate blumenthal snyder meridional methuen\n", "output": "blumenthal inmate meridional methuen snyder" }, "561": { "input": "\nList: charta infallible raillery balk specie electrophorus wisdom gawk doppler caught opaque spongy lamplight pfennig toluene chard season necromantic breve accommodate\n", "output": "accommodate balk breve caught chard charta doppler electrophorus gawk infallible lamplight necromantic opaque pfennig raillery season specie spongy toluene wisdom" }, "562": { "input": "\nList: calligraphy mangrove\n", "output": "calligraphy mangrove" }, "563": { "input": "\nList: pelvis hooves leatherwork halstead lowe creed mycenae future tenure graff petticoat orwell\n", "output": "creed future graff halstead hooves leatherwork lowe mycenae orwell pelvis petticoat tenure" }, "564": { "input": "\nList: parisian bloodshot domestic commute knudson thrace tube metzler floury retiree bissau incognito alginate parsimony evanston\n", "output": "alginate bissau bloodshot commute domestic evanston floury incognito knudson metzler parisian parsimony retiree thrace tube" }, "565": { "input": "\nList: telekinesis mainstay tableau sagacity puberty morphophonemic yuh tommy domain picasso\n", "output": "domain mainstay morphophonemic picasso puberty sagacity tableau telekinesis tommy yuh" }, "566": { "input": "\nList: funny snuggly\n", "output": "funny snuggly" }, "567": { "input": "\nList: experience ks pablo hamstrung gerundial regressive transposable picosecond divide crore certify harm ph.d\n", "output": "certify crore divide experience gerundial hamstrung harm ks pablo ph.d picosecond regressive transposable" }, "568": { "input": "\nList: bryophyte extrema lycee crumb typic muffle windowsill fisticuff\n", "output": "bryophyte crumb extrema fisticuff lycee muffle typic windowsill" }, "569": { "input": "\nList: wakefield godson blindfold\n", "output": "blindfold godson wakefield" }, "570": { "input": "\nList: brine jude barnacle mediocre abyss apparition schizomycetes australite poisonous jacket proportionate insofar appeal negroid molten wolf decorum stutter blanket trickery\n", "output": "abyss apparition appeal australite barnacle blanket brine decorum insofar jacket jude mediocre molten negroid poisonous proportionate schizomycetes stutter trickery wolf" }, "571": { "input": "\nList: horatio arrival inexplainable meetinghouse fanatic equilateral tincture baron apache grommet joyful eucharist genotype\n", "output": "apache arrival baron equilateral eucharist fanatic genotype grommet horatio inexplainable joyful meetinghouse tincture" }, "572": { "input": "\nList: tirana bifurcate meningitis zap\n", "output": "bifurcate meningitis tirana zap" }, "573": { "input": "\nList: grew miser inauthentic crate\n", "output": "crate grew inauthentic miser" }, "574": { "input": "\nList: coin saskatoon davies significant minsky ire glycerinate excretory mccabe nancy copenhagen twitchy facto yule artichoke\n", "output": "artichoke coin copenhagen davies excretory facto glycerinate ire mccabe minsky nancy saskatoon significant twitchy yule" }, "575": { "input": "\nList: ovid handicapper bygone pottery elastomer dialectic chauvinism schizoid belligerent gerhardt quadrupole buret lance amorphous\n", "output": "amorphous belligerent buret bygone chauvinism dialectic elastomer gerhardt handicapper lance ovid pottery quadrupole schizoid" }, "576": { "input": "\nList: inasmuch hunt lodestone tedious cacao thrash teamwork strychnine\n", "output": "cacao hunt inasmuch lodestone strychnine teamwork tedious thrash" }, "577": { "input": "\nList: kangaroo lancet\n", "output": "kangaroo lancet" }, "578": { "input": "\nList: miguel oxonian masquerade foible\n", "output": "foible masquerade miguel oxonian" }, "579": { "input": "\nList: shaven reedbuck\n", "output": "reedbuck shaven" }, "580": { "input": "\nList: embryo amplify rough ungulate gill projector zigging bushnell spouse convey thuban shallow lim\n", "output": "amplify bushnell convey embryo gill lim projector rough shallow spouse thuban ungulate zigging" }, "581": { "input": "\nList: nothing lull nectarine picofarad morbid posable yam absurd bonneville uproar hackney terminal felon sufficient\n", "output": "absurd bonneville felon hackney lull morbid nectarine nothing picofarad posable sufficient terminal uproar yam" }, "582": { "input": "\nList: hornbeam dutton acrophobia two bumptious lunary arab\n", "output": "acrophobia arab bumptious dutton hornbeam lunary two" }, "583": { "input": "\nList: prospector reflector glendale anecdote divorce coward petite vogel\n", "output": "anecdote coward divorce glendale petite prospector reflector vogel" }, "584": { "input": "\nList: birthrate basel capetown chicanery tricky banjo crimson bile claimant\n", "output": "banjo basel bile birthrate capetown chicanery claimant crimson tricky" }, "585": { "input": "\nList: crump informal dutiable guzzle assume biblical clone indissoluble ornate thread ike koenig\n", "output": "assume biblical clone crump dutiable guzzle ike indissoluble informal koenig ornate thread" }, "586": { "input": "\nList: lithograph ms india whistle\n", "output": "india lithograph ms whistle" }, "587": { "input": "\nList: pfennig candle profess breakwater ready bufflehead nipple o thrifty\n", "output": "breakwater bufflehead candle nipple o pfennig profess ready thrifty" }, "588": { "input": "\nList: nordhoff garish karamazov enquiry heck capitol sellout pet trackage bough morn erickson intend gondola wither shine blutwurst sprinkle isabella citizenry\n", "output": "blutwurst bough capitol citizenry enquiry erickson garish gondola heck intend isabella karamazov morn nordhoff pet sellout shine sprinkle trackage wither" }, "589": { "input": "\nList: baseplate pundit ecole ingestion\n", "output": "baseplate ecole ingestion pundit" }, "590": { "input": "\nList: applaud vogel gluey shopworn coloratura\n", "output": "applaud coloratura gluey shopworn vogel" }, "591": { "input": "\nList: berlitz thank husbandmen fortitude dockside tuneful survive flagstaff deathward parole rim glutamate judiciary cohesive cork downspout decipher enemy milch\n", "output": "berlitz cohesive cork deathward decipher dockside downspout enemy flagstaff fortitude glutamate husbandmen judiciary milch parole rim survive thank tuneful" }, "592": { "input": "\nList: antonym ellipsis hodgepodge homozygous venture children gibberellin heroic peal airedale\n", "output": "airedale antonym children ellipsis gibberellin heroic hodgepodge homozygous peal venture" }, "593": { "input": "\nList: epileptic conform whither burnett preparative command rehabilitate indisputable clinch upperclassman wisecrack contrivance\n", "output": "burnett clinch command conform contrivance epileptic indisputable preparative rehabilitate upperclassman whither wisecrack" }, "594": { "input": "\nList: animate weren't sentiment capella miscegenation shortfall baptismal andrea\n", "output": "andrea animate baptismal capella miscegenation sentiment shortfall weren't" }, "595": { "input": "\nList: vortices coercion denebola delicacy therapist effectual victory proximate gloucester\n", "output": "coercion delicacy denebola effectual gloucester proximate therapist victory vortices" }, "596": { "input": "\nList: prestige road snivel dachshund pyrolyse we've conspecific shadbush yaw lockheed israelite quixote threaten epistemology uracil describe ciliate coventry sting gadolinium\n", "output": "ciliate conspecific coventry dachshund describe epistemology gadolinium israelite lockheed prestige pyrolyse quixote road shadbush snivel sting threaten uracil we've yaw" }, "597": { "input": "\nList: sparling lovelorn yearn mcginnis mosque click erosive sling chill anastasia gamble lorry humility pall\n", "output": "anastasia chill click erosive gamble humility lorry lovelorn mcginnis mosque pall sling sparling yearn" }, "598": { "input": "\nList: staten exodus chore enamel carleton hydrocarbon pusan garrison medlar slice drudge thereby latitudinary covet seraglio acerbity vacationland jobholder\n", "output": "acerbity carleton chore covet drudge enamel exodus garrison hydrocarbon jobholder latitudinary medlar pusan seraglio slice staten thereby vacationland" }, "599": { "input": "\nList: covariant bridgeport tress invalid rest thyronine winchester\n", "output": "bridgeport covariant invalid rest thyronine tress winchester" }, "600": { "input": "\nList: meistersinger bulldoze memorabilia halo improvident pickup abetting regress impelling pole allegiant arden electrician vendor chantilly goldman one mckinney author peppermint\n", "output": "abetting allegiant arden author bulldoze chantilly electrician goldman halo impelling improvident mckinney meistersinger memorabilia one peppermint pickup pole regress vendor" }, "601": { "input": "\nList: skew heinz\n", "output": "heinz skew" }, "602": { "input": "\nList: coward municipal hardware militant hawk merge sawtooth boletus lizard lounsbury allotted homicidal alter\n", "output": "allotted alter boletus coward hardware hawk homicidal lizard lounsbury merge militant municipal sawtooth" }, "603": { "input": "\nList: nudibranch album adopt pound bromine inscrutable\n", "output": "adopt album bromine inscrutable nudibranch pound" }, "604": { "input": "\nList: orthicon texan orgasm capsize shutoff invariant tube chicagoan distant harp lang picky delve ostracism exponentiate\n", "output": "capsize chicagoan delve distant exponentiate harp invariant lang orgasm orthicon ostracism picky shutoff texan tube" }, "605": { "input": "\nList: amy bathrobe loquacious byword husky colander coleridge ski depositor\n", "output": "amy bathrobe byword colander coleridge depositor husky loquacious ski" }, "606": { "input": "\nList: tarpon perpetrate garbage faustus pray prize friction crawl singular melanin shatterproof cotta tycoon phenomenology\n", "output": "cotta crawl faustus friction garbage melanin perpetrate phenomenology pray prize shatterproof singular tarpon tycoon" }, "607": { "input": "\nList: zan canvasback snippet basal cosmetic gases auspice rib anthem behalf winfield sinbad drown marino powdery possessor potassium romance malformation\n", "output": "anthem auspice basal behalf canvasback cosmetic drown gases malformation marino possessor potassium powdery rib romance sinbad snippet winfield zan" }, "608": { "input": "\nList: vertices necropsy dalton irreconciliable dawn hyacinth huntington\n", "output": "dalton dawn huntington hyacinth irreconciliable necropsy vertices" }, "609": { "input": "\nList: fermi fayette side censor ring froze pact aristocrat bedevil rectory repudiate faunal cramer complicity pecan crowbait maladjust\n", "output": "aristocrat bedevil censor complicity cramer crowbait faunal fayette fermi froze maladjust pact pecan rectory repudiate ring side" }, "610": { "input": "\nList: seventieth phoneme cryptographer spread\n", "output": "cryptographer phoneme seventieth spread" }, "611": { "input": "\nList: arpeggio thebes quack cater irresolvable stance grievance lynn\n", "output": "arpeggio cater grievance irresolvable lynn quack stance thebes" }, "612": { "input": "\nList: threaten as cheyenne accident salaam pax severe dingy pisces antiquity pawnshop immeasurable\n", "output": "accident antiquity as cheyenne dingy immeasurable pawnshop pax pisces salaam severe threaten" }, "613": { "input": "\nList: swarm engineer pro stud granny hijack hypocrisy canary williamsburg entranceway boatmen appendage aldermen thelma accede nakayama corporate\n", "output": "accede aldermen appendage boatmen canary corporate engineer entranceway granny hijack hypocrisy nakayama pro stud swarm thelma williamsburg" }, "614": { "input": "\nList: mcnally inholding\n", "output": "inholding mcnally" }, "615": { "input": "\nList: sorption ruminate shipman saturnine secondhand ingrained bomb auspices telepathy montana this allan alan derek certainty planet castanet crupper trio spur\n", "output": "alan allan auspices bomb castanet certainty crupper derek ingrained montana planet ruminate saturnine secondhand shipman sorption spur telepathy this trio" }, "616": { "input": "\nList: divisor rightward know\n", "output": "divisor know rightward" }, "617": { "input": "\nList: emmett monsoon hashish\n", "output": "emmett hashish monsoon" }, "618": { "input": "\nList: nematocyst muddlehead scaffold memorandum dental arbitrate elution vivid extreme nielsen northeastern facet prom spent sliver hathaway\n", "output": "arbitrate dental elution extreme facet hathaway memorandum muddlehead nematocyst nielsen northeastern prom scaffold sliver spent vivid" }, "619": { "input": "\nList: chadwick pyle darn manipulable elinor blackberry rousseau winter micro hoagland\n", "output": "blackberry chadwick darn elinor hoagland manipulable micro pyle rousseau winter" }, "620": { "input": "\nList: laotian situate arteriole wah beater decomposition sedimentary nile elbow sparta consume bonfire banal mccarty dispersive\n", "output": "arteriole banal beater bonfire consume decomposition dispersive elbow laotian mccarty nile sedimentary situate sparta wah" }, "621": { "input": "\nList: whither crew odysseus mineralogy\n", "output": "crew mineralogy odysseus whither" }, "622": { "input": "\nList: phosphate perceive hewn longitudinal proponent pepsi crater watchful quite dystrophy douglas instructor wisecrack nassau\n", "output": "crater douglas dystrophy hewn instructor longitudinal nassau pepsi perceive phosphate proponent quite watchful wisecrack" }, "623": { "input": "\nList: high mafia entry verdi munch inboard\n", "output": "entry high inboard mafia munch verdi" }, "624": { "input": "\nList: experience zachary dodo krause hathaway\n", "output": "dodo experience hathaway krause zachary" }, "625": { "input": "\nList: gaffe rankine pappy northland indisputable foot bridle long endure month paterson cacm sovereign headsmen religiosity stoat taut\n", "output": "bridle cacm endure foot gaffe headsmen indisputable long month northland pappy paterson rankine religiosity sovereign stoat taut" }, "626": { "input": "\nList: scenario sober o'sullivan sally hyperbolic\n", "output": "hyperbolic o'sullivan sally scenario sober" }, "627": { "input": "\nList: entourage bile\n", "output": "bile entourage" }, "628": { "input": "\nList: pliny spacecraft commissary teakwood corrosion architect afield calorimeter femur shyly carapace regulatory ultimatum thong mi\n", "output": "afield architect calorimeter carapace commissary corrosion femur mi pliny regulatory shyly spacecraft teakwood thong ultimatum" }, "629": { "input": "\nList: phonograph baste\n", "output": "baste phonograph" }, "630": { "input": "\nList: bespectacled farcical adroit every lithosphere confute tunnel lactose marquee inveterate guiana\n", "output": "adroit bespectacled confute every farcical guiana inveterate lactose lithosphere marquee tunnel" }, "631": { "input": "\nList: concordant mincemeat now\n", "output": "concordant mincemeat now" }, "632": { "input": "\nList: tigris append celebrant incinerate fast mortuary\n", "output": "append celebrant fast incinerate mortuary tigris" }, "633": { "input": "\nList: alginate sworn teutonic census tide pneumatic blanch imposition glow\n", "output": "alginate blanch census glow imposition pneumatic sworn teutonic tide" }, "634": { "input": "\nList: freedom attica ii malformed ohm charge polygamy t's\n", "output": "attica charge freedom ii malformed ohm polygamy t's" }, "635": { "input": "\nList: punic deathward pigeon\n", "output": "deathward pigeon punic" }, "636": { "input": "\nList: theist incompatible mandatory rim duopolist jones\n", "output": "duopolist incompatible jones mandatory rim theist" }, "637": { "input": "\nList: staten traversable\n", "output": "staten traversable" }, "638": { "input": "\nList: sacramento subsidiary michelin omelet\n", "output": "michelin omelet sacramento subsidiary" }, "639": { "input": "\nList: tenderfoot kindred cute exudate walkover transversal salle o'sullivan laugh nodular stilt strafe crunchy togs sail calcite holeable codfish uri\n", "output": "calcite codfish crunchy cute exudate holeable kindred laugh nodular o'sullivan sail salle stilt strafe tenderfoot togs transversal uri walkover" }, "640": { "input": "\nList: privilege laundry quick sutton\n", "output": "laundry privilege quick sutton" }, "641": { "input": "\nList: bingle couplet\n", "output": "bingle couplet" }, "642": { "input": "\nList: ova schnabel noticeable epstein annotate abuilding cobalt corps\n", "output": "abuilding annotate cobalt corps epstein noticeable ova schnabel" }, "643": { "input": "\nList: rome apartheid\n", "output": "apartheid rome" }, "644": { "input": "\nList: panama scandium glyceride maori analogy temerity homicide pullback euphorbia dusk weighty conscience\n", "output": "analogy conscience dusk euphorbia glyceride homicide maori panama pullback scandium temerity weighty" }, "645": { "input": "\nList: epsilon corbel abundant israeli vehement quadrature causal radiography faery concomitant worth yaounde\n", "output": "abundant causal concomitant corbel epsilon faery israeli quadrature radiography vehement worth yaounde" }, "646": { "input": "\nList: potatoes persona practice prolific kansas pithy quadric thompson\n", "output": "kansas persona pithy potatoes practice prolific quadric thompson" }, "647": { "input": "\nList: winchester furman invertebrate hither compulsive\n", "output": "compulsive furman hither invertebrate winchester" }, "648": { "input": "\nList: soothe discriminatory confluent lobar headcount sect primeval infix carpetbagging souvenir riparian finn newcomer mettlesome australis latex ecuador diction\n", "output": "australis carpetbagging confluent diction discriminatory ecuador finn headcount infix latex lobar mettlesome newcomer primeval riparian sect soothe souvenir" }, "649": { "input": "\nList: honoraria deborah rubdown aye hilbert lovelorn bandgap fang subservient brunt bedlam distillate sweepstake tomato nordstrom regent stratus\n", "output": "aye bandgap bedlam brunt deborah distillate fang hilbert honoraria lovelorn nordstrom regent rubdown stratus subservient sweepstake tomato" }, "650": { "input": "\nList: westbound slave deferred ruminate palfrey mortgagor izvestia isotherm circumspect swim\n", "output": "circumspect deferred isotherm izvestia mortgagor palfrey ruminate slave swim westbound" }, "651": { "input": "\nList: cartilage spunky sulfide eigenvector curlew\n", "output": "cartilage curlew eigenvector spunky sulfide" }, "652": { "input": "\nList: pinhole dandelion spatial irrecoverable alienate page teledyne g's junketeer damask glacis blatz\n", "output": "alienate blatz damask dandelion g's glacis irrecoverable junketeer page pinhole spatial teledyne" }, "653": { "input": "\nList: sleazy tabernacle fireboat acrobatic alcohol congressional husband blocky roadster scythia skullduggery alleyway pith petition\n", "output": "acrobatic alcohol alleyway blocky congressional fireboat husband petition pith roadster scythia skullduggery sleazy tabernacle" }, "654": { "input": "\nList: davidson deflater inhalation knoxville depreciate\n", "output": "davidson deflater depreciate inhalation knoxville" }, "655": { "input": "\nList: pend frontal rooseveltian inaugurate expectorant triplet harem bimetallism maternity octoroon convalesce hyphenate dogtrot box trainman sproul baboon astray petite transconductance\n", "output": "astray baboon bimetallism box convalesce dogtrot expectorant frontal harem hyphenate inaugurate maternity octoroon pend petite rooseveltian sproul trainman transconductance triplet" }, "656": { "input": "\nList: situate scam eminent obnoxious inter alexis beatitude inductee eocene flagellate kindergarten monologue\n", "output": "alexis beatitude eminent eocene flagellate inductee inter kindergarten monologue obnoxious scam situate" }, "657": { "input": "\nList: broadcast ignoble associate crucifix drizzle jut edict communicant norma moderate minus braid feathery pinxter decade\n", "output": "associate braid broadcast communicant crucifix decade drizzle edict feathery ignoble jut minus moderate norma pinxter" }, "658": { "input": "\nList: nostalgia demoniac tungstate harp vulcan eighteenth kindred culpable holloway halve ammo dignitary chewy julep log flux theatric altitude\n", "output": "altitude ammo chewy culpable demoniac dignitary eighteenth flux halve harp holloway julep kindred log nostalgia theatric tungstate vulcan" }, "659": { "input": "\nList: slang immovable transplant expellable shinto saprophyte joanne authentic shipley shawl adorn thong faith\n", "output": "adorn authentic expellable faith immovable joanne saprophyte shawl shinto shipley slang thong transplant" }, "660": { "input": "\nList: snider advisee opportune canterelle belize altimeter\n", "output": "advisee altimeter belize canterelle opportune snider" }, "661": { "input": "\nList: jigging carboy syrupy\n", "output": "carboy jigging syrupy" }, "662": { "input": "\nList: expansible spurge\n", "output": "expansible spurge" }, "663": { "input": "\nList: debbie chadwick trig fingernail bryn mutuel absent cycle ingram po\n", "output": "absent bryn chadwick cycle debbie fingernail ingram mutuel po trig" }, "664": { "input": "\nList: bruckner duplicate satan transmittance storyteller impetuous humdrum bodice gasp sharp blake colby outermost disquisition cuttlefish practicable mawkish league inferred\n", "output": "blake bodice bruckner colby cuttlefish disquisition duplicate gasp humdrum impetuous inferred league mawkish outermost practicable satan sharp storyteller transmittance" }, "665": { "input": "\nList: photography blow cit escheat wingman insuperable hothead gherkin rectifier jeres tempo shipwreck osmium strontium ainu beefsteak purgative scad dent repelling\n", "output": "ainu beefsteak blow cit dent escheat gherkin hothead insuperable jeres osmium photography purgative rectifier repelling scad shipwreck strontium tempo wingman" }, "666": { "input": "\nList: cockcrow marketplace leave italian component verne\n", "output": "cockcrow component italian leave marketplace verne" }, "667": { "input": "\nList: contradictory norway asteroidal vexation bechtel\n", "output": "asteroidal bechtel contradictory norway vexation" }, "668": { "input": "\nList: changeable stamina simplicity bam vaduz d heathkit solar\n", "output": "bam changeable d heathkit simplicity solar stamina vaduz" }, "669": { "input": "\nList: peanut abduct disperse permutation sharon parapsychology salve healey gyrocompass taro lost quadriceps\n", "output": "abduct disperse gyrocompass healey lost parapsychology peanut permutation quadriceps salve sharon taro" }, "670": { "input": "\nList: beloit embellish choosy solstice bauer coinage vodka crusade marriageable presto\n", "output": "bauer beloit choosy coinage crusade embellish marriageable presto solstice vodka" }, "671": { "input": "\nList: supervene snafu emanuel breakoff lockup cohomology marlboro minneapolis paranoia silversmith\n", "output": "breakoff cohomology emanuel lockup marlboro minneapolis paranoia silversmith snafu supervene" }, "672": { "input": "\nList: machine luxury ducat viscometer cowbell curse vivid stamford saviour mendel caress\n", "output": "caress cowbell curse ducat luxury machine mendel saviour stamford viscometer vivid" }, "673": { "input": "\nList: sundial smut giacomo till guggenheim hypoactive digest fingerprint footmen mawkish prismatic commodious watchworks equivocate sixteenth hughes regular hypotheses\n", "output": "commodious digest equivocate fingerprint footmen giacomo guggenheim hughes hypoactive hypotheses mawkish prismatic regular sixteenth smut sundial till watchworks" }, "674": { "input": "\nList: brahmsian marjory bumpy sturm trimer mickelson workman maltster\n", "output": "brahmsian bumpy maltster marjory mickelson sturm trimer workman" }, "675": { "input": "\nList: vermouth asymptotic tournament dashboard transfuse infighting bronze abyssinia chinquapin brian loris phosphorylate cinch manservant sienna\n", "output": "abyssinia asymptotic brian bronze chinquapin cinch dashboard infighting loris manservant phosphorylate sienna tournament transfuse vermouth" }, "676": { "input": "\nList: comb urushiol powell cloth dorothea\n", "output": "cloth comb dorothea powell urushiol" }, "677": { "input": "\nList: airdrop qualify knoweth lock verdict fallen pegboard antietam batt\n", "output": "airdrop antietam batt fallen knoweth lock pegboard qualify verdict" }, "678": { "input": "\nList: cancellate navigable montague commingle piety convoy propriety debar toenail epigram chintz lancet calvary vendetta candela\n", "output": "calvary cancellate candela chintz commingle convoy debar epigram lancet montague navigable piety propriety toenail vendetta" }, "679": { "input": "\nList: pole admittance bertram worktable fourth necessitate jackman salient uranyl obfuscatory signpost vietnamese coors kept\n", "output": "admittance bertram coors fourth jackman kept necessitate obfuscatory pole salient signpost uranyl vietnamese worktable" }, "680": { "input": "\nList: osiris wright\n", "output": "osiris wright" }, "681": { "input": "\nList: telescope annotate multitude rutabaga jilt arctan\n", "output": "annotate arctan jilt multitude rutabaga telescope" }, "682": { "input": "\nList: koinonia scandal interpolate mesmeric theoretic tog inopportune erskine pullback novae cambrian daimler\n", "output": "cambrian daimler erskine inopportune interpolate koinonia mesmeric novae pullback scandal theoretic tog" }, "683": { "input": "\nList: wring surmise abolition articulatory jaundice sunshade consultative pronominal joanna\n", "output": "abolition articulatory consultative jaundice joanna pronominal sunshade surmise wring" }, "684": { "input": "\nList: pinkish helm cabinet smithson salesgirl honky scrawny osteoporosis play equipoise aback impound abscissae mortician\n", "output": "aback abscissae cabinet equipoise helm honky impound mortician osteoporosis pinkish play salesgirl scrawny smithson" }, "685": { "input": "\nList: click nimbus torn dada artemis astronomy malocclusion mummify ohmmeter curricular memoir crafty\n", "output": "artemis astronomy click crafty curricular dada malocclusion memoir mummify nimbus ohmmeter torn" }, "686": { "input": "\nList: legacy titus shakespearian date nearby mathematician bathroom griddle regretting inattentive yellow sundial\n", "output": "bathroom date griddle inattentive legacy mathematician nearby regretting shakespearian sundial titus yellow" }, "687": { "input": "\nList: crucial soup venusian mannitol whoop opal jackman gibe maureen pedagogy cologne brothel plate montage demurring tennis taunt\n", "output": "brothel cologne crucial demurring gibe jackman mannitol maureen montage opal pedagogy plate soup taunt tennis venusian whoop" }, "688": { "input": "\nList: keto wield yeah who'll newlywed\n", "output": "keto newlywed who'll wield yeah" }, "689": { "input": "\nList: psychotherapeutic whittaker lollipop battery forbore bulb galois canyon fest anything snakeroot linoleum talent shaw drawback\n", "output": "anything battery bulb canyon drawback fest forbore galois linoleum lollipop psychotherapeutic shaw snakeroot talent whittaker" }, "690": { "input": "\nList: rapid carolina backward kirchoff workplace\n", "output": "backward carolina kirchoff rapid workplace" }, "691": { "input": "\nList: pater clout slapdash anthropoid leyden which whig troposphere frequent astral earwig doctorate gratitude bespoke\n", "output": "anthropoid astral bespoke clout doctorate earwig frequent gratitude leyden pater slapdash troposphere which whig" }, "692": { "input": "\nList: pelagic gotham pedantry corpora hesse reck vote raster bruise\n", "output": "bruise corpora gotham hesse pedantry pelagic raster reck vote" }, "693": { "input": "\nList: katharine chromate arctan beater spray wayne cutthroat horton saskatoon small irradiate businesswoman oct proclaim squawbush buckboard missive windowpane\n", "output": "arctan beater buckboard businesswoman chromate cutthroat horton irradiate katharine missive oct proclaim saskatoon small spray squawbush wayne windowpane" }, "694": { "input": "\nList: comic jiffy cigarette taxpayer crux\n", "output": "cigarette comic crux jiffy taxpayer" }, "695": { "input": "\nList: ambulatory formulae exclude bandstop serendipity slab\n", "output": "ambulatory bandstop exclude formulae serendipity slab" }, "696": { "input": "\nList: atop planetoid sooth froze wyeth hickman paid\n", "output": "atop froze hickman paid planetoid sooth wyeth" }, "697": { "input": "\nList: pension anisotropic teem stonecrop channel germicide farmhouse legitimate hijack truce phloem cannabis stake dipole shag circlet rupee slung ferrite capstan\n", "output": "anisotropic cannabis capstan channel circlet dipole farmhouse ferrite germicide hijack legitimate pension phloem rupee shag slung stake stonecrop teem truce" }, "698": { "input": "\nList: haas shame circumferential myra stevedore becket millionth militant retaliate foundation insular\n", "output": "becket circumferential foundation haas insular militant millionth myra retaliate shame stevedore" }, "699": { "input": "\nList: enunciable nuclear exalt nu detriment emendable archaism ninth deniable piteous leslie slocum schoolmaster varian\n", "output": "archaism deniable detriment emendable enunciable exalt leslie ninth nu nuclear piteous schoolmaster slocum varian" }, "700": { "input": "\nList: bewitch jessica emancipate pyrometer bestselling approximant camel gluey\n", "output": "approximant bestselling bewitch camel emancipate gluey jessica pyrometer" }, "701": { "input": "\nList: thailand pumpkin airmen discordant erudition glance craggy\n", "output": "airmen craggy discordant erudition glance pumpkin thailand" }, "702": { "input": "\nList: dod surreal cachalot noontime nosy decryption blond lundquist shoo flour\n", "output": "blond cachalot decryption dod flour lundquist noontime nosy shoo surreal" }, "703": { "input": "\nList: skyscrape exhilarate tweak cbs jerome periclean whomsoever nagoya ms miles mace cancellate lusaka dyad sue susceptible\n", "output": "cancellate cbs dyad exhilarate jerome lusaka mace miles ms nagoya periclean skyscrape sue susceptible tweak whomsoever" }, "704": { "input": "\nList: porterhouse contemptuous marital boatman bamberger starlet mulligatawny evelyn divide halifax ryan jive shouldn't plebiscite strange posy racemose pyongyang\n", "output": "bamberger boatman contemptuous divide evelyn halifax jive marital mulligatawny plebiscite porterhouse posy pyongyang racemose ryan shouldn't starlet strange" }, "705": { "input": "\nList: echoes corrigible plan nm confrere charitable hearken clitoris motorcycle dig karamazov hornet\n", "output": "charitable clitoris confrere corrigible dig echoes hearken hornet karamazov motorcycle nm plan" }, "706": { "input": "\nList: individuate brunette sparky retentive octavia corvus durkee hispanic treachery screen quicksand hawley bluegrass cress hydroelectric tinsel liqueur girlish squabble frank\n", "output": "bluegrass brunette corvus cress durkee frank girlish hawley hispanic hydroelectric individuate liqueur octavia quicksand retentive screen sparky squabble tinsel treachery" }, "707": { "input": "\nList: wyatt mynheer maddox shrew sonorous manhattan augusta cabot bilge typeface\n", "output": "augusta bilge cabot maddox manhattan mynheer shrew sonorous typeface wyatt" }, "708": { "input": "\nList: sectarian concurred seedling yang broke guthrie smith\n", "output": "broke concurred guthrie sectarian seedling smith yang" }, "709": { "input": "\nList: diego bream incisive homesick vocal forgive\n", "output": "bream diego forgive homesick incisive vocal" }, "710": { "input": "\nList: flowery lazarus exquisite upstater\n", "output": "exquisite flowery lazarus upstater" }, "711": { "input": "\nList: meteoritic typic\n", "output": "meteoritic typic" }, "712": { "input": "\nList: interrupt warmup louvre summer nicotine steeplebush debbie brenda gradate doubt anent twit niece pullover countywide organic gorse\n", "output": "anent brenda countywide debbie doubt gorse gradate interrupt louvre nicotine niece organic pullover steeplebush summer twit warmup" }, "713": { "input": "\nList: minerva jesuit converse brigade fluorescent lighthearted sharpe\n", "output": "brigade converse fluorescent jesuit lighthearted minerva sharpe" }, "714": { "input": "\nList: salmonella tankard xi lubricant constructor liqueur chap diathesis sunday grep caught wheresoever staff du sketch berlioz\n", "output": "berlioz caught chap constructor diathesis du grep liqueur lubricant salmonella sketch staff sunday tankard wheresoever xi" }, "715": { "input": "\nList: nestor transship stapleton\n", "output": "nestor stapleton transship" }, "716": { "input": "\nList: bleed authoritarian fusiform trade laplace word jorgensen demon ghastly hibachi boatyard horrible tantalum manifesto dragonhead gender genteel not\n", "output": "authoritarian bleed boatyard demon dragonhead fusiform gender genteel ghastly hibachi horrible jorgensen laplace manifesto not tantalum trade word" }, "717": { "input": "\nList: bragging stimuli tinny acton dome bolivia gardner posit thinnish polymerase markovian trachea easy liquidate bag perjure beard aborigine\n", "output": "aborigine acton bag beard bolivia bragging dome easy gardner liquidate markovian perjure polymerase posit stimuli thinnish tinny trachea" }, "718": { "input": "\nList: possible coexist burp cyclorama bellyful amtrak pale gaillardia teem\n", "output": "amtrak bellyful burp coexist cyclorama gaillardia pale possible teem" }, "719": { "input": "\nList: giraffe till conception offal nebulae alike\n", "output": "alike conception giraffe nebulae offal till" }, "720": { "input": "\nList: temptation secretive triplett neptunium\n", "output": "neptunium secretive temptation triplett" }, "721": { "input": "\nList: rival romano inspiration kamchatka double muskrat\n", "output": "double inspiration kamchatka muskrat rival romano" }, "722": { "input": "\nList: bizet pang battlefront viking wysiwyg insist snell asset slipshod billet wittgenstein eave\n", "output": "asset battlefront billet bizet eave insist pang slipshod snell viking wittgenstein wysiwyg" }, "723": { "input": "\nList: kronecker chewy sandra acquitting extensible surfeit\n", "output": "acquitting chewy extensible kronecker sandra surfeit" }, "724": { "input": "\nList: cellar kiwanis orwell polish\n", "output": "cellar kiwanis orwell polish" }, "725": { "input": "\nList: plagiarism opiate prove sc impregnable dinosaur infectious huntsville tannin\n", "output": "dinosaur huntsville impregnable infectious opiate plagiarism prove sc tannin" }, "726": { "input": "\nList: herewith grebe marco horsedom disambiguate fluffy constructible literary hurt hypothyroid compile anaheim dickcissel gospel histamine\n", "output": "anaheim compile constructible dickcissel disambiguate fluffy gospel grebe herewith histamine horsedom hurt hypothyroid literary marco" }, "727": { "input": "\nList: excelling dearborn imprimatur teaspoon coupon bloodletting importation plasma petit eden phalarope baleen maximilian dr\n", "output": "baleen bloodletting coupon dearborn dr eden excelling importation imprimatur maximilian petit phalarope plasma teaspoon" }, "728": { "input": "\nList: stocky orate isfahan cornerstone grasp willa avesta windbreak layup\n", "output": "avesta cornerstone grasp isfahan layup orate stocky willa windbreak" }, "729": { "input": "\nList: pittsburgh baronet veery codebreak chrysolite axiomatic tape grosset descant voracity\n", "output": "axiomatic baronet chrysolite codebreak descant grosset pittsburgh tape veery voracity" }, "730": { "input": "\nList: symmetry microbe atlantis\n", "output": "atlantis microbe symmetry" }, "731": { "input": "\nList: cacophonist removal exultant continuity cornet cryptographer ascii atheist wristwatch colatitude septate feature phrase ministerial commendation rosenblum useful\n", "output": "ascii atheist cacophonist colatitude commendation continuity cornet cryptographer exultant feature ministerial phrase removal rosenblum septate useful wristwatch" }, "732": { "input": "\nList: artificial willoughby crisscross malformation mayflower slugging poetry divide grip comprise salad quantitative\n", "output": "artificial comprise crisscross divide grip malformation mayflower poetry quantitative salad slugging willoughby" }, "733": { "input": "\nList: thalia venous brasilia parabola keats sagging cackle grandpa dusky sis transcendent\n", "output": "brasilia cackle dusky grandpa keats parabola sagging sis thalia transcendent venous" }, "734": { "input": "\nList: raul insight inaccuracy clobber darlene melodrama insert axe hardbake was sinus\n", "output": "axe clobber darlene hardbake inaccuracy insert insight melodrama raul sinus was" }, "735": { "input": "\nList: damnation expense\n", "output": "damnation expense" }, "736": { "input": "\nList: lome inimical you tragedian hydrangea fungi\n", "output": "fungi hydrangea inimical lome tragedian you" }, "737": { "input": "\nList: nirvana cameron abuilding marcy somnolent manfred scabrous bamako chancellor flu mother\n", "output": "abuilding bamako cameron chancellor flu manfred marcy mother nirvana scabrous somnolent" }, "738": { "input": "\nList: muskellunge panorama talent hesitate prototype neigh assiduity carlisle transfix hologram orangutan helmholtz wastage moccasin stylites arachnid sky neuropathology\n", "output": "arachnid assiduity carlisle helmholtz hesitate hologram moccasin muskellunge neigh neuropathology orangutan panorama prototype sky stylites talent transfix wastage" }, "739": { "input": "\nList: smug bernoulli halifax bellboy vase ephesian arpa\n", "output": "arpa bellboy bernoulli ephesian halifax smug vase" }, "740": { "input": "\nList: pressure bindweed speedup toy derbyshire natal jackman pursuant alexandria transmute subsist adventitious basswood operatic bloodbath scum\n", "output": "adventitious alexandria basswood bindweed bloodbath derbyshire jackman natal operatic pressure pursuant scum speedup subsist toy transmute" }, "741": { "input": "\nList: padlock bebop declarative\n", "output": "bebop declarative padlock" }, "742": { "input": "\nList: menorca mycenaean halifax iodine myoglobin fernery tizzy pan impale coil morrill thy\n", "output": "coil fernery halifax impale iodine menorca morrill mycenaean myoglobin pan thy tizzy" }, "743": { "input": "\nList: flutter prick concept tearful pussy tampa eastman richmond stonecrop pilewort chromatic collie drum\n", "output": "chromatic collie concept drum eastman flutter pilewort prick pussy richmond stonecrop tampa tearful" }, "744": { "input": "\nList: incommensurate delphinus enfant pow barb spy preen nucleate\n", "output": "barb delphinus enfant incommensurate nucleate pow preen spy" }, "745": { "input": "\nList: gall detach intervention additive grain grosset garibaldi incongruity\n", "output": "additive detach gall garibaldi grain grosset incongruity intervention" }, "746": { "input": "\nList: specious feathertop\n", "output": "feathertop specious" }, "747": { "input": "\nList: skate obsessive blew greene cardboard elliptic alchemist suffocate suck truckload incompetent scuba vagary arboreal cutset bernoulli expectorant\n", "output": "alchemist arboreal bernoulli blew cardboard cutset elliptic expectorant greene incompetent obsessive scuba skate suck suffocate truckload vagary" }, "748": { "input": "\nList: citrate concentrate ingrate maya syllabify mourn\n", "output": "citrate concentrate ingrate maya mourn syllabify" }, "749": { "input": "\nList: bonnet dixie elizabeth propionate inboard garbage schottky patrilineage armada\n", "output": "armada bonnet dixie elizabeth garbage inboard patrilineage propionate schottky" }, "750": { "input": "\nList: spermatophyte obverse doorknob key\n", "output": "doorknob key obverse spermatophyte" }, "751": { "input": "\nList: reminiscent affluent macrostructure\n", "output": "affluent macrostructure reminiscent" }, "752": { "input": "\nList: inhibitor ana anorthite retrograde krause builtin stratton wail sal dew ashore sexton allegheny canopy\n", "output": "allegheny ana anorthite ashore builtin canopy dew inhibitor krause retrograde sal sexton stratton wail" }, "753": { "input": "\nList: trickle nomogram styrene parka perspicacious godfather biltmore privy derelict renewal passover ribonucleic parishioner coulomb\n", "output": "biltmore coulomb derelict godfather nomogram parishioner parka passover perspicacious privy renewal ribonucleic styrene trickle" }, "754": { "input": "\nList: fuselage lent facet hookworm revolution food altimeter lisbon rancorous jeopardy mayst indwell haploid\n", "output": "altimeter facet food fuselage haploid hookworm indwell jeopardy lent lisbon mayst rancorous revolution" }, "755": { "input": "\nList: barter glacier wynn douglas azure planet grease continuous cascade cranford gabon goldenseal gazpacho brother diogenes\n", "output": "azure barter brother cascade continuous cranford diogenes douglas gabon gazpacho glacier goldenseal grease planet wynn" }, "756": { "input": "\nList: salesman waldron haw homebuilder interruption lupine epiphytic subterranean potlatch convoy\n", "output": "convoy epiphytic haw homebuilder interruption lupine potlatch salesman subterranean waldron" }, "757": { "input": "\nList: canton accuracy probationary greenwood interviewee craft pallet cap pollock texan taxon mash boutique moneymake durham beetle zazen squawbush oat fulsome\n", "output": "accuracy beetle boutique canton cap craft durham fulsome greenwood interviewee mash moneymake oat pallet pollock probationary squawbush taxon texan zazen" }, "758": { "input": "\nList: intensive allegory manchuria kim undulate crew dung ph.d monadic butler limpid welles conspirator blest command\n", "output": "allegory blest butler command conspirator crew dung intensive kim limpid manchuria monadic ph.d undulate welles" }, "759": { "input": "\nList: andorra delegable hairspring hale impersonate ceremony decisive tying female hireling uncouth pr jejune\n", "output": "andorra ceremony decisive delegable female hairspring hale hireling impersonate jejune pr tying uncouth" }, "760": { "input": "\nList: rose vestry horrendous puppeteer decrement bp database permit pritchard ere hippie serene tabular desert rhapsodic struggle\n", "output": "bp database decrement desert ere hippie horrendous permit pritchard puppeteer rhapsodic rose serene struggle tabular vestry" }, "761": { "input": "\nList: manic meyer disrupt hying longleg\n", "output": "disrupt hying longleg manic meyer" }, "762": { "input": "\nList: menial pierre whitewash aaa stab slur silkworm torpedoes dud stanhope mi gardenia tinder ourselves\n", "output": "aaa dud gardenia menial mi ourselves pierre silkworm slur stab stanhope tinder torpedoes whitewash" }, "763": { "input": "\nList: swung proud alleyway\n", "output": "alleyway proud swung" }, "764": { "input": "\nList: myeloid canvasback someday corpsmen nathaniel spokesmen ithaca coupe bar usury bludgeon intensive sigh\n", "output": "bar bludgeon canvasback corpsmen coupe intensive ithaca myeloid nathaniel sigh someday spokesmen usury" }, "765": { "input": "\nList: consortium cladophora meningitis eluate catskill ac boron delegate harpoon mudsling mangel turnabout potash wei kaleidescope sixtyfold lime carouse\n", "output": "ac boron carouse catskill cladophora consortium delegate eluate harpoon kaleidescope lime mangel meningitis mudsling potash sixtyfold turnabout wei" }, "766": { "input": "\nList: polynesia gurgle sharpen germany ammo eaten tyson dominican carry witty heir earthworm iliad whitetail\n", "output": "ammo carry dominican earthworm eaten germany gurgle heir iliad polynesia sharpen tyson whitetail witty" }, "767": { "input": "\nList: revelation prow o maladjust brimstone sideway incipient\n", "output": "brimstone incipient maladjust o prow revelation sideway" }, "768": { "input": "\nList: lavabo dearie condescension apathy inject rhetorician elephant kyle\n", "output": "apathy condescension dearie elephant inject kyle lavabo rhetorician" }, "769": { "input": "\nList: obligatory acidulate chastity wow remediable spearhead lipschitz eastern tenable reason ideal clavicle infighting mercenary labia slipshod tenon antipodal\n", "output": "acidulate antipodal chastity clavicle eastern ideal infighting labia lipschitz mercenary obligatory reason remediable slipshod spearhead tenable tenon wow" }, "770": { "input": "\nList: arkansas polish sold sleepy fore maharashtra woodruff\n", "output": "arkansas fore maharashtra polish sleepy sold woodruff" }, "771": { "input": "\nList: beachhead opinion haunt perpetuate salient sill\n", "output": "beachhead haunt opinion perpetuate salient sill" }, "772": { "input": "\nList: ladle swordplay wireman incinerate mud discriminatory bottleneck sceptic besmirch\n", "output": "besmirch bottleneck discriminatory incinerate ladle mud sceptic swordplay wireman" }, "773": { "input": "\nList: arson epiphysis hale acrimony keyboard engine ethos fordham loath insurance ho triploidy insignificant changeable textron acuity wheelbarrow binary\n", "output": "acrimony acuity arson binary changeable engine epiphysis ethos fordham hale ho insignificant insurance keyboard loath textron triploidy wheelbarrow" }, "774": { "input": "\nList: primordial williamsburg intensive teensy spree\n", "output": "intensive primordial spree teensy williamsburg" }, "775": { "input": "\nList: depressor approximable gift yogi transgress lumpur booth oracular nottingham printmake alexandre munson\n", "output": "alexandre approximable booth depressor gift lumpur munson nottingham oracular printmake transgress yogi" }, "776": { "input": "\nList: tee taper inequivalent cowbell incalculable goldenseal densitometer tarrytown corpulent dragonhead anastomosis embraceable total panacea suicide extrusive inductance\n", "output": "anastomosis corpulent cowbell densitometer dragonhead embraceable extrusive goldenseal incalculable inductance inequivalent panacea suicide taper tarrytown tee total" }, "777": { "input": "\nList: bangor glossary frontage illustrious rill sidelong suzerain reduce firm cohort demitted millet willful camden portsmouth\n", "output": "bangor camden cohort demitted firm frontage glossary illustrious millet portsmouth reduce rill sidelong suzerain willful" }, "778": { "input": "\nList: arrow vienna windy bred spiderwort elan anthropology skill toroid frequent triennial baton\n", "output": "anthropology arrow baton bred elan frequent skill spiderwort toroid triennial vienna windy" }, "779": { "input": "\nList: avesta ampex\n", "output": "ampex avesta" }, "780": { "input": "\nList: shrewish crux surtout pretoria rowboat drunken junta blackmail mbabane autocollimate embargoes lexicographer pork dobbs morpheme celery symbiotic scrutable protean nitric\n", "output": "autocollimate blackmail celery crux dobbs drunken embargoes junta lexicographer mbabane morpheme nitric pork pretoria protean rowboat scrutable shrewish surtout symbiotic" }, "781": { "input": "\nList: matrilineal quicksand horowitz scarp guinea wichita curtis canal type maureen ivory swart presentation\n", "output": "canal curtis guinea horowitz ivory matrilineal maureen presentation quicksand scarp swart type wichita" }, "782": { "input": "\nList: spot skyrocket xerxes quack pigeon ali pilewort disquisition sc cackle safety lancashire calorie leslie enzymology\n", "output": "ali cackle calorie disquisition enzymology lancashire leslie pigeon pilewort quack safety sc skyrocket spot xerxes" }, "783": { "input": "\nList: shalom remainder mimicry glycerinate compose bouquet hung archaism leavenworth dutchman\n", "output": "archaism bouquet compose dutchman glycerinate hung leavenworth mimicry remainder shalom" }, "784": { "input": "\nList: fan pooch vitro chronic dianne rummy apparel rum pigeonberry corbel youthful flannel hager libretto forest stem crowbait concurring\n", "output": "apparel chronic concurring corbel crowbait dianne fan flannel forest hager libretto pigeonberry pooch rum rummy stem vitro youthful" }, "785": { "input": "\nList: centrex grateful romania junior protactinium eocene holdup racial guideline\n", "output": "centrex eocene grateful guideline holdup junior protactinium racial romania" }, "786": { "input": "\nList: campaign coffin short botswana parlance malicious\n", "output": "botswana campaign coffin malicious parlance short" }, "787": { "input": "\nList: package honeycomb purvey mild registry adventitious snail implement decomposable bastard alienate equinoctial puissant saviour bituminous acton hasn't\n", "output": "acton adventitious alienate bastard bituminous decomposable equinoctial hasn't honeycomb implement mild package puissant purvey registry saviour snail" }, "788": { "input": "\nList: got crystal hearse town squid annapolis levi arsenide sully oceanography nepenthe promethean concessionaire glutamate mohr wingmen tektronix\n", "output": "annapolis arsenide concessionaire crystal glutamate got hearse levi mohr nepenthe oceanography promethean squid sully tektronix town wingmen" }, "789": { "input": "\nList: discordant kilohm lulu\n", "output": "discordant kilohm lulu" }, "790": { "input": "\nList: bamako jamboree bolshevist niagara spouse lavender steelmake gin summer fine balloon lieberman eyelid neuromuscular\n", "output": "balloon bamako bolshevist eyelid fine gin jamboree lavender lieberman neuromuscular niagara spouse steelmake summer" }, "791": { "input": "\nList: cole estonia brian redneck coda\n", "output": "brian coda cole estonia redneck" }, "792": { "input": "\nList: gutenberg haystack corpus plod carouse\n", "output": "carouse corpus gutenberg haystack plod" }, "793": { "input": "\nList: seven hetman grouch oath rise climactic carlisle walden remonstrate sinus relict marshland ambiguous curtsey onrushing raillery bruegel ante morgan\n", "output": "ambiguous ante bruegel carlisle climactic curtsey grouch hetman marshland morgan oath onrushing raillery relict remonstrate rise seven sinus walden" }, "794": { "input": "\nList: orthorhombic episcopalian persistent fraction poke be curricular ripen welcome pizarro xenophobia yaounde animate pelt jovial\n", "output": "animate be curricular episcopalian fraction jovial orthorhombic pelt persistent pizarro poke ripen welcome xenophobia yaounde" }, "795": { "input": "\nList: foxhall adrift septic alistair wormy harm firefly thyroglobulin loch programmer twice worm irritant monaural exotic cyclone hockey musky asset\n", "output": "adrift alistair asset cyclone exotic firefly foxhall harm hockey irritant loch monaural musky programmer septic thyroglobulin twice worm wormy" }, "796": { "input": "\nList: consultation renovate treadmill marilyn certainty delight strategy coin substantial ky\n", "output": "certainty coin consultation delight ky marilyn renovate strategy substantial treadmill" }, "797": { "input": "\nList: sac hydro trolley knox cease skirmish heel obsequious marshland misanthropic jean\n", "output": "cease heel hydro jean knox marshland misanthropic obsequious sac skirmish trolley" }, "798": { "input": "\nList: churchwoman ammeter airlift limpet heroin coronate syntax prosopopoeia saud berg mrs yawn diabetic clutter valine orphic dorsal relief\n", "output": "airlift ammeter berg churchwoman clutter coronate diabetic dorsal heroin limpet mrs orphic prosopopoeia relief saud syntax valine yawn" }, "799": { "input": "\nList: inapproachable faint lahore smalltime leadsman pillage sapphire sprite\n", "output": "faint inapproachable lahore leadsman pillage sapphire smalltime sprite" }, "800": { "input": "\nList: ailanthus isaac lump sensory anthropology swordtail echidna lineup poland taffeta catsup tset kruger\n", "output": "ailanthus anthropology catsup echidna isaac kruger lineup lump poland sensory swordtail taffeta tset" }, "801": { "input": "\nList: backstop stenography pliocene\n", "output": "backstop pliocene stenography" }, "802": { "input": "\nList: osteology embedded sharpshoot irwin\n", "output": "embedded irwin osteology sharpshoot" }, "803": { "input": "\nList: sparge seclude pensive minim said cave\n", "output": "cave minim pensive said seclude sparge" }, "804": { "input": "\nList: vertebral welcome pacific cornell ruffian bondsmen trisyllable hardwire\n", "output": "bondsmen cornell hardwire pacific ruffian trisyllable vertebral welcome" }, "805": { "input": "\nList: classroom walden sentry seed grill dusty silverware\n", "output": "classroom dusty grill seed sentry silverware walden" }, "806": { "input": "\nList: nagy bmw blest powdery o's bus programmed mater keelson orchestrate birdwatch\n", "output": "birdwatch blest bmw bus keelson mater nagy o's orchestrate powdery programmed" }, "807": { "input": "\nList: permission fuss convair\n", "output": "convair fuss permission" }, "808": { "input": "\nList: quasar corpulent unbeknownst hydrophobia knowles inability kingston sinclair gandhian\n", "output": "corpulent gandhian hydrophobia inability kingston knowles quasar sinclair unbeknownst" }, "809": { "input": "\nList: fiducial fibrous moustache squid brussels slate igloo seminal telepathic halt mbabane\n", "output": "brussels fibrous fiducial halt igloo mbabane moustache seminal slate squid telepathic" }, "810": { "input": "\nList: pembroke partake debugging docket malden agnes sideline tank arlington follicular veery montgomery transmitter\n", "output": "agnes arlington debugging docket follicular malden montgomery partake pembroke sideline tank transmitter veery" }, "811": { "input": "\nList: pollution cognitive tattoo diverge industrial distal blinn nebuchadnezzar karen gallonage scotia hesitate\n", "output": "blinn cognitive distal diverge gallonage hesitate industrial karen nebuchadnezzar pollution scotia tattoo" }, "812": { "input": "\nList: usurp omniscient grata adoration pirogue severe inc necropsy togo bravo macassar dioxide umbra bloomfield seaboard continue\n", "output": "adoration bloomfield bravo continue dioxide grata inc macassar necropsy omniscient pirogue seaboard severe togo umbra usurp" }, "813": { "input": "\nList: accouter we'd mephistopheles anderson enthusiastic chronography faustian bolshevik gluttony ninefold saran lacy apposition away romano goody substantiate ltv pellet\n", "output": "accouter anderson apposition away bolshevik chronography enthusiastic faustian gluttony goody lacy ltv mephistopheles ninefold pellet romano saran substantiate we'd" }, "814": { "input": "\nList: natchez kingsley typesetting am lenny baseband bunsen polygyny amaranth deferring allergic addition\n", "output": "addition allergic am amaranth baseband bunsen deferring kingsley lenny natchez polygyny typesetting" }, "815": { "input": "\nList: hurry perceptual aeschylus sousa symbiosis wilhelm dhabi thesaurus geese cavilling metro tiptoe guelph omniscient bodleian\n", "output": "aeschylus bodleian cavilling dhabi geese guelph hurry metro omniscient perceptual sousa symbiosis thesaurus tiptoe wilhelm" }, "816": { "input": "\nList: headroom wham\n", "output": "headroom wham" }, "817": { "input": "\nList: problem asteroidal stress massacre lake admissible dodson tuscarora drew giddap id irrecoverable sulfanilamide elegiac calligraph theology intersperse kettering meditate\n", "output": "admissible asteroidal calligraph dodson drew elegiac giddap id intersperse irrecoverable kettering lake massacre meditate problem stress sulfanilamide theology tuscarora" }, "818": { "input": "\nList: governance curbside exasperate herman nauseum poem degum\n", "output": "curbside degum exasperate governance herman nauseum poem" }, "819": { "input": "\nList: abide singleminded australite accolade altair aloud hansom u.s.a blockade thermofax\n", "output": "abide accolade aloud altair australite blockade hansom singleminded thermofax u.s.a" }, "820": { "input": "\nList: nnw civet knapsack bainite tuberculosis annapolis wheelchair increment\n", "output": "annapolis bainite civet increment knapsack nnw tuberculosis wheelchair" }, "821": { "input": "\nList: stallion prophet yorkshire drop confiscatory slab sheila head mana immature predecessor ruffian daffodil polymerase metalloid theta\n", "output": "confiscatory daffodil drop head immature mana metalloid polymerase predecessor prophet ruffian sheila slab stallion theta yorkshire" }, "822": { "input": "\nList: quern owl levity pentateuch deane persistent jackie auspices rosy groton three simian\n", "output": "auspices deane groton jackie levity owl pentateuch persistent quern rosy simian three" }, "823": { "input": "\nList: scathe beat\n", "output": "beat scathe" }, "824": { "input": "\nList: miltonic speak thoroughbred fever\n", "output": "fever miltonic speak thoroughbred" }, "825": { "input": "\nList: hunk sanatorium griffin deforestation arctan crewmen great glibly\n", "output": "arctan crewmen deforestation glibly great griffin hunk sanatorium" }, "826": { "input": "\nList: what're sentinel acme byrne ammonite quiescent inadvisable fitzgerald quiz pravda counteract roost crafty venusian shifty piloerection\n", "output": "acme ammonite byrne counteract crafty fitzgerald inadvisable piloerection pravda quiescent quiz roost sentinel shifty venusian what're" }, "827": { "input": "\nList: italic charitable circumlocution ninety neuralgia anteater borneo piano appliance\n", "output": "anteater appliance borneo charitable circumlocution italic neuralgia ninety piano" }, "828": { "input": "\nList: wherever programming diana wordy scale pacific\n", "output": "diana pacific programming scale wherever wordy" }, "829": { "input": "\nList: foxtail adposition johnstown ferrule blackguard verna drummond despise felice maine brumidi shall infamous bramble\n", "output": "adposition blackguard bramble brumidi despise drummond felice ferrule foxtail infamous johnstown maine shall verna" }, "830": { "input": "\nList: plugging sideshow historian heraclitus eradicate built succeed osteopath\n", "output": "built eradicate heraclitus historian osteopath plugging sideshow succeed" }, "831": { "input": "\nList: imbrium philology reverie organic envious compositor appropriable olin casserole desire soy writeup tempest ornithology simply mealy cauliflower lousewort single\n", "output": "appropriable casserole cauliflower compositor desire envious imbrium lousewort mealy olin organic ornithology philology reverie simply single soy tempest writeup" }, "832": { "input": "\nList: celebes specimen krakow coleman topmost vaughn hagen whop cookie blurb tonk crosspoint sagacity course hattie zoom wanton tarpaper rd\n", "output": "blurb celebes coleman cookie course crosspoint hagen hattie krakow rd sagacity specimen tarpaper tonk topmost vaughn wanton whop zoom" }, "833": { "input": "\nList: blackboard talmud heine elastomer rayleigh romeo pyridine crunch runneth tutu upstate freeload our lounsbury chaparral cousin psychic talc mutiny\n", "output": "blackboard chaparral cousin crunch elastomer freeload heine lounsbury mutiny our psychic pyridine rayleigh romeo runneth talc talmud tutu upstate" }, "834": { "input": "\nList: stumble bolivar hangdog basin southland authoritarian dreadnought\n", "output": "authoritarian basin bolivar dreadnought hangdog southland stumble" }, "835": { "input": "\nList: abort suave sobriquet leathery\n", "output": "abort leathery sobriquet suave" }, "836": { "input": "\nList: insolvable ezra programmatic version smack epithelial\n", "output": "epithelial ezra insolvable programmatic smack version" }, "837": { "input": "\nList: operable cosmology enquiry wrapup hearken realm racketeer sloop dean sheaf pomona hike worthwhile spectrograph driftwood corpse ada merry area yost\n", "output": "ada area corpse cosmology dean driftwood enquiry hearken hike merry operable pomona racketeer realm sheaf sloop spectrograph worthwhile wrapup yost" }, "838": { "input": "\nList: avogadro sextans scrubby hadley telegraph hew shouldn't anaglyph ornamentation cockpit charlemagne\n", "output": "anaglyph avogadro charlemagne cockpit hadley hew ornamentation scrubby sextans shouldn't telegraph" }, "839": { "input": "\nList: vertebrae deciduous xi strontium backwater blackboard\n", "output": "backwater blackboard deciduous strontium vertebrae xi" }, "840": { "input": "\nList: deformation ampere santa andromache hardtop aphrodisiac atwater volcanic neonatal apocrypha leach deltoid optometrist junta pedagogue myself lectionary typology\n", "output": "ampere andromache aphrodisiac apocrypha atwater deformation deltoid hardtop junta leach lectionary myself neonatal optometrist pedagogue santa typology volcanic" }, "841": { "input": "\nList: continental basilisk grasp surah hindmost ammerman husky kent priory profuse atheism hotbed bay homosexual\n", "output": "ammerman atheism basilisk bay continental grasp hindmost homosexual hotbed husky kent priory profuse surah" }, "842": { "input": "\nList: green triangulum sniffle domino incurrer crotch utopia rickety flee lucius affair quichua diem semblance shopworn fluster gerundive pennsylvania\n", "output": "affair crotch diem domino flee fluster gerundive green incurrer lucius pennsylvania quichua rickety semblance shopworn sniffle triangulum utopia" }, "843": { "input": "\nList: checksumming lop caretaker where crucial preference randy cox culinary glare dis\n", "output": "caretaker checksumming cox crucial culinary dis glare lop preference randy where" }, "844": { "input": "\nList: clench hornmouth philanthropy cubit sternberg foodstuff elliott spectrography eduardo brassiere knudsen sandra sugary circle splint\n", "output": "brassiere circle clench cubit eduardo elliott foodstuff hornmouth knudsen philanthropy sandra spectrography splint sternberg sugary" }, "845": { "input": "\nList: wipe fed french lymphocyte chinchilla hager spinnaker abrupt minnie\n", "output": "abrupt chinchilla fed french hager lymphocyte minnie spinnaker wipe" }, "846": { "input": "\nList: maynard hillbilly periphery touch mycoplasma salacious anchorite claustrophobic\n", "output": "anchorite claustrophobic hillbilly maynard mycoplasma periphery salacious touch" }, "847": { "input": "\nList: leviticus pygmalion cunningham diurnal naivete\n", "output": "cunningham diurnal leviticus naivete pygmalion" }, "848": { "input": "\nList: vorticity pathbreaking va cherub swami lenin neoteny commiserate heed except\n", "output": "cherub commiserate except heed lenin neoteny pathbreaking swami va vorticity" }, "849": { "input": "\nList: illegal barberry shorefront\n", "output": "barberry illegal shorefront" }, "850": { "input": "\nList: conductor homomorphic impermissible inhere notice saxophone fray hypotheses etiquette squeegee condemnate diverse opinion sarong\n", "output": "condemnate conductor diverse etiquette fray homomorphic hypotheses impermissible inhere notice opinion sarong saxophone squeegee" }, "851": { "input": "\nList: percussive divination hello doorknob respirator spearmint screen navigate neglect dickens usc gator mohammed staminate arlington bogy botch cornelius\n", "output": "arlington bogy botch cornelius dickens divination doorknob gator hello mohammed navigate neglect percussive respirator screen spearmint staminate usc" }, "852": { "input": "\nList: diego garlic reclamation lucid traitor delia copywriter sample teleology wrongdoing\n", "output": "copywriter delia diego garlic lucid reclamation sample teleology traitor wrongdoing" }, "853": { "input": "\nList: backplane zambia culpa profile\n", "output": "backplane culpa profile zambia" }, "854": { "input": "\nList: exhale testosterone halibut burton aegean puppeteer sternal winemake marijuana apollo sheriff\n", "output": "aegean apollo burton exhale halibut marijuana puppeteer sheriff sternal testosterone winemake" }, "855": { "input": "\nList: thymus gallop democrat bourbon throw pus hematite lifeboat heublein commerce analyses joke buggy transcribe oratorio whimsic blackjack declamation\n", "output": "analyses blackjack bourbon buggy commerce declamation democrat gallop hematite heublein joke lifeboat oratorio pus throw thymus transcribe whimsic" }, "856": { "input": "\nList: dogfish bobcat orr belt\n", "output": "belt bobcat dogfish orr" }, "857": { "input": "\nList: apocalypse tote apostle gay kauffman dicta hog prowl aunt calm carboxy dishevel orifice tearful karate ellen\n", "output": "apocalypse apostle aunt calm carboxy dicta dishevel ellen gay hog karate kauffman orifice prowl tearful tote" }, "858": { "input": "\nList: nc hologram candide exclamatory chevron osteopathic quinn paranoid thiouracil crises evergreen plastic store phylum liable nnw exhaustible\n", "output": "candide chevron crises evergreen exclamatory exhaustible hologram liable nc nnw osteopathic paranoid phylum plastic quinn store thiouracil" }, "859": { "input": "\nList: bunsen frilly lao trunkful protocol orthodontist data acrid nationwide votary copyright burlesque isotropy stock marcel laidlaw submitted surf broglie\n", "output": "acrid broglie bunsen burlesque copyright data frilly isotropy laidlaw lao marcel nationwide orthodontist protocol stock submitted surf trunkful votary" }, "860": { "input": "\nList: surah multiplication glasgow gadfly\n", "output": "gadfly glasgow multiplication surah" }, "861": { "input": "\nList: maser bon uplift forbearance splint natty jiffy varistor rate snafu\n", "output": "bon forbearance jiffy maser natty rate snafu splint uplift varistor" }, "862": { "input": "\nList: congress neon around endometrial barefaced tony help pay\n", "output": "around barefaced congress endometrial help neon pay tony" }, "863": { "input": "\nList: mcgregor glorious arctic previous precision serviceman platypus holbrook gunfight hair ohmmeter beauregard eisner forthwith\n", "output": "arctic beauregard eisner forthwith glorious gunfight hair holbrook mcgregor ohmmeter platypus precision previous serviceman" }, "864": { "input": "\nList: carnegie vivace russ occident dobbin century trivalent man cherry moneywort premiere nancy strenuous bustle bequest jennie\n", "output": "bequest bustle carnegie century cherry dobbin jennie man moneywort nancy occident premiere russ strenuous trivalent vivace" }, "865": { "input": "\nList: jolly allele pathology bureaucracy renunciate gamesmanship cassiopeia switchback tragedian cobweb knack steak sou\n", "output": "allele bureaucracy cassiopeia cobweb gamesmanship jolly knack pathology renunciate sou steak switchback tragedian" }, "866": { "input": "\nList: sierra fee cottony enclave d defrost grandfather brick secondary yin locomotive\n", "output": "brick cottony d defrost enclave fee grandfather locomotive secondary sierra yin" }, "867": { "input": "\nList: dreamboat peach retardant monomer\n", "output": "dreamboat monomer peach retardant" }, "868": { "input": "\nList: geld couple waterman vikram circumlocution brillouin error swatch benefactor\n", "output": "benefactor brillouin circumlocution couple error geld swatch vikram waterman" }, "869": { "input": "\nList: eastwood vilify\n", "output": "eastwood vilify" }, "870": { "input": "\nList: packet facetious excitatory silhouette impossible concurrent\n", "output": "concurrent excitatory facetious impossible packet silhouette" }, "871": { "input": "\nList: diplomatic soup glendale saracen writhing denizen raven hoosegow epoxy cheater broadway equivocate roland pegging\n", "output": "broadway cheater denizen diplomatic epoxy equivocate glendale hoosegow pegging raven roland saracen soup writhing" }, "872": { "input": "\nList: hugo sequent debility trapezium referent hart firelight gantry pate davis derivate osiris euripides perturbate claw resistive\n", "output": "claw davis debility derivate euripides firelight gantry hart hugo osiris pate perturbate referent resistive sequent trapezium" }, "873": { "input": "\nList: saturday propitious oleomargarine kampuchea\n", "output": "kampuchea oleomargarine propitious saturday" }, "874": { "input": "\nList: hernandez yardstick stalwart maitre squeal ant threw hopscotch want\n", "output": "ant hernandez hopscotch maitre squeal stalwart threw want yardstick" }, "875": { "input": "\nList: parasympathetic exfoliate gator chive\n", "output": "chive exfoliate gator parasympathetic" }, "876": { "input": "\nList: ponderosa beach memo incontrollable\n", "output": "beach incontrollable memo ponderosa" }, "877": { "input": "\nList: quality ulysses\n", "output": "quality ulysses" }, "878": { "input": "\nList: sabra kiss doubtful resurrect\n", "output": "doubtful kiss resurrect sabra" }, "879": { "input": "\nList: lax idyll organometallic engine bridal ionosphere spinel lamprey metabolic include refrigerate friar sheepherder peru interrupt item squeeze congresswomen\n", "output": "bridal congresswomen engine friar idyll include interrupt ionosphere item lamprey lax metabolic organometallic peru refrigerate sheepherder spinel squeeze" }, "880": { "input": "\nList: acetate bisexual mcgregor source ferdinand coagulable expunge chancellor\n", "output": "acetate bisexual chancellor coagulable expunge ferdinand mcgregor source" }, "881": { "input": "\nList: skillful gettysburg curtsey heroine matriarch pancreas rhodium chamfer condone\n", "output": "chamfer condone curtsey gettysburg heroine matriarch pancreas rhodium skillful" }, "882": { "input": "\nList: virulent extreme hancock handhold caution greta fest doneck conspicuous karyatid firewood\n", "output": "caution conspicuous doneck extreme fest firewood greta hancock handhold karyatid virulent" }, "883": { "input": "\nList: friction wept meier some carbonic coworker childrearing fomalhaut intolerable sunbonnet inholding dusenbury lesbian berlioz kajar vivid jowly camel\n", "output": "berlioz camel carbonic childrearing coworker dusenbury fomalhaut friction inholding intolerable jowly kajar lesbian meier some sunbonnet vivid wept" }, "884": { "input": "\nList: entity featherweight\n", "output": "entity featherweight" }, "885": { "input": "\nList: nubia smalltime footpad conjunct counterman dingo equivocal proposal glacial lark conjecture gasify ballet cyclops demountable brucellosis schematic redmond loincloth\n", "output": "ballet brucellosis conjecture conjunct counterman cyclops demountable dingo equivocal footpad gasify glacial lark loincloth nubia proposal redmond schematic smalltime" }, "886": { "input": "\nList: annul dostoevsky\n", "output": "annul dostoevsky" }, "887": { "input": "\nList: suffix apollo crampon numinous licensee rivulet menfolk situs becalm clef parameter brouhaha billionth\n", "output": "apollo becalm billionth brouhaha clef crampon licensee menfolk numinous parameter rivulet situs suffix" }, "888": { "input": "\nList: midwinter bindle eft approximate sarong steinberg chinchilla flatten aptitude lawmake blowfish vane damask borneo tinkle metabolite creekside\n", "output": "approximate aptitude bindle blowfish borneo chinchilla creekside damask eft flatten lawmake metabolite midwinter sarong steinberg tinkle vane" }, "889": { "input": "\nList: thunder canteen loaf\n", "output": "canteen loaf thunder" }, "890": { "input": "\nList: accrual london\n", "output": "accrual london" }, "891": { "input": "\nList: barnes math mealtime licentious dar gypsite lass late gunflint peppergrass gigantic fugitive whitehorse declarative glamorous portray distant\n", "output": "barnes dar declarative distant fugitive gigantic glamorous gunflint gypsite lass late licentious math mealtime peppergrass portray whitehorse" }, "892": { "input": "\nList: cowardice where'd kiva fructose hiroshi categoric gerund hypnosis elmsford praline arragon age british luxurious thousandth johansen macaque minstrel\n", "output": "age arragon british categoric cowardice elmsford fructose gerund hiroshi hypnosis johansen kiva luxurious macaque minstrel praline thousandth where'd" }, "893": { "input": "\nList: mice metazoa nameable curriculum communicate sportswriting moravia japan argus merrill hatteras mold avid inflammatory prompt zealous thruway officialdom indigenous\n", "output": "argus avid communicate curriculum hatteras indigenous inflammatory japan merrill metazoa mice mold moravia nameable officialdom prompt sportswriting thruway zealous" }, "894": { "input": "\nList: preferring aires puddingstone moscow folksinging butler fiasco daffy\n", "output": "aires butler daffy fiasco folksinging moscow preferring puddingstone" }, "895": { "input": "\nList: anthracite ceramium finnegan sharpe denny minuteman lauren commentary beautiful transcendent aeolian fisk value gjetost bestow tincture uranyl successive military\n", "output": "aeolian anthracite beautiful bestow ceramium commentary denny finnegan fisk gjetost lauren military minuteman sharpe successive tincture transcendent uranyl value" }, "896": { "input": "\nList: nilpotent allen hebrew\n", "output": "allen hebrew nilpotent" }, "897": { "input": "\nList: bruckner brunt inventory backslide hatchery giddap nevins hobbyhorse shipmate\n", "output": "backslide bruckner brunt giddap hatchery hobbyhorse inventory nevins shipmate" }, "898": { "input": "\nList: lahore black barrage mycenaean nightshirt poncho batwing sykes\n", "output": "barrage batwing black lahore mycenaean nightshirt poncho sykes" }, "899": { "input": "\nList: scrub continuous inordinate keyword lessee harem histidine ky abalone betatron madmen visible nellie polo proverb gallberry sherwin salty mar colloquial\n", "output": "abalone betatron colloquial continuous gallberry harem histidine inordinate keyword ky lessee madmen mar nellie polo proverb salty scrub sherwin visible" }, "900": { "input": "\nList: cruise huddle tool malformed posey periclean procedural hell quasar locale decorticate whenever achromatic finnish\n", "output": "achromatic cruise decorticate finnish hell huddle locale malformed periclean posey procedural quasar tool whenever" }, "901": { "input": "\nList: maybe inveigh meliorate tapestry catfish ampex citron\n", "output": "ampex catfish citron inveigh maybe meliorate tapestry" }, "902": { "input": "\nList: soluble hydrostatic lola michaelangelo standby bottlecap mysore gator incurred stockton henri clasp curfew mock went gob\n", "output": "bottlecap clasp curfew gator gob henri hydrostatic incurred lola michaelangelo mock mysore soluble standby stockton went" }, "903": { "input": "\nList: chinaman aventine prognosis impressive learn polish\n", "output": "aventine chinaman impressive learn polish prognosis" }, "904": { "input": "\nList: calcutta bohr assume seclude label teletypewrite fold supranational scotsmen dowel brandt simplistic infusion unidirectional\n", "output": "assume bohr brandt calcutta dowel fold infusion label scotsmen seclude simplistic supranational teletypewrite unidirectional" }, "905": { "input": "\nList: odometer drunk upturn quern roadway mollie secretarial material apprise squirm valerie demographer glycogen excoriate\n", "output": "apprise demographer drunk excoriate glycogen material mollie odometer quern roadway secretarial squirm upturn valerie" }, "906": { "input": "\nList: peg quadriceps kept communion smuggle\n", "output": "communion kept peg quadriceps smuggle" }, "907": { "input": "\nList: homologous dragonfly extrusive sinistral bravura jackdaw birthright commerce surge physic trinket montclair empty kowalewski garish salutory irrefutable beatify\n", "output": "beatify birthright bravura commerce dragonfly empty extrusive garish homologous irrefutable jackdaw kowalewski montclair physic salutory sinistral surge trinket" }, "908": { "input": "\nList: vexatious oman erato affect solicitous yourself brownie whitcomb slunk berkshire glendale\n", "output": "affect berkshire brownie erato glendale oman slunk solicitous vexatious whitcomb yourself" }, "909": { "input": "\nList: incendiary spin dingy wiggle libertine wolverine\n", "output": "dingy incendiary libertine spin wiggle wolverine" }, "910": { "input": "\nList: upon mediterranean deductible knudsen tollbooth stuttgart spark sample inaudible cessation calcium gurkha cassava forte apatite\n", "output": "apatite calcium cassava cessation deductible forte gurkha inaudible knudsen mediterranean sample spark stuttgart tollbooth upon" }, "911": { "input": "\nList: wolff teamwork ecosystem nebula succubus contrition wicket\n", "output": "contrition ecosystem nebula succubus teamwork wicket wolff" }, "912": { "input": "\nList: chlorophyll dispensable til weinberg heroin rotogravure spine boltzmann wolverine\n", "output": "boltzmann chlorophyll dispensable heroin rotogravure spine til weinberg wolverine" }, "913": { "input": "\nList: penis agree plentiful prado\n", "output": "agree penis plentiful prado" }, "914": { "input": "\nList: radius wadi quash larry tapestry wiremen glow gm hirsch bialystok divorce libertarian holly heavyweight wrinkle\n", "output": "bialystok divorce glow gm heavyweight hirsch holly larry libertarian quash radius tapestry wadi wiremen wrinkle" }, "915": { "input": "\nList: corvus hogging erosion hexafluoride narragansett mooney thence hick pamper alum\n", "output": "alum corvus erosion hexafluoride hick hogging mooney narragansett pamper thence" }, "916": { "input": "\nList: liverwort ninetyfold lachrymose daughter calais effort herpes horror\n", "output": "calais daughter effort herpes horror lachrymose liverwort ninetyfold" }, "917": { "input": "\nList: conscript nowadays adrian saracen falter sandal example connect\n", "output": "adrian connect conscript example falter nowadays sandal saracen" }, "918": { "input": "\nList: neurasthenic triumphal anselm trust heublein commend\n", "output": "anselm commend heublein neurasthenic triumphal trust" }, "919": { "input": "\nList: bearberry radiometer dairylea broke quarantine dyne mourn frigga whomever\n", "output": "bearberry broke dairylea dyne frigga mourn quarantine radiometer whomever" }, "920": { "input": "\nList: appliance addict cardiology nichrome rhesus you're worth merrimack sora dimorphism forfend degrease mallory inveigle cancer slivery informant rickets\n", "output": "addict appliance cancer cardiology degrease dimorphism forfend informant inveigle mallory merrimack nichrome rhesus rickets slivery sora worth you're" }, "921": { "input": "\nList: lithograph inferno superbly\n", "output": "inferno lithograph superbly" }, "922": { "input": "\nList: singular emil church villein\n", "output": "church emil singular villein" }, "923": { "input": "\nList: mater pallid\n", "output": "mater pallid" }, "924": { "input": "\nList: exclusion vaginal borg dreamboat itinerant\n", "output": "borg dreamboat exclusion itinerant vaginal" }, "925": { "input": "\nList: fire fran phantom curriculum felon folic nilpotent acclimate birdbath lesson pea\n", "output": "acclimate birdbath curriculum felon fire folic fran lesson nilpotent pea phantom" }, "926": { "input": "\nList: scatterbrain aficionado coarse geld rowena congestion posture\n", "output": "aficionado coarse congestion geld posture rowena scatterbrain" }, "927": { "input": "\nList: betoken fauna hanlon rudolf atchison baltimorean propeller molar fierce topmost\n", "output": "atchison baltimorean betoken fauna fierce hanlon molar propeller rudolf topmost" }, "928": { "input": "\nList: hardy freudian survey\n", "output": "freudian hardy survey" }, "929": { "input": "\nList: munson spay assiduous administratrix catfish suit pershing workout isaacson fief scramble riverside preparatory bookstore\n", "output": "administratrix assiduous bookstore catfish fief isaacson munson pershing preparatory riverside scramble spay suit workout" }, "930": { "input": "\nList: tithing duopolist cabana symbiont pritchard eternal buzzy fund violin hillman lobscouse zellerbach classificatory thimble gratitude grandpa sari ancestor hamstrung sextuple\n", "output": "ancestor buzzy cabana classificatory duopolist eternal fund grandpa gratitude hamstrung hillman lobscouse pritchard sari sextuple symbiont thimble tithing violin zellerbach" }, "931": { "input": "\nList: nathaniel view hangover hitler eastern sore recuperate\n", "output": "eastern hangover hitler nathaniel recuperate sore view" }, "932": { "input": "\nList: trompe shrapnel\n", "output": "shrapnel trompe" }, "933": { "input": "\nList: patrimonial aurora concise inadvertent synoptic tonic drippy\n", "output": "aurora concise drippy inadvertent patrimonial synoptic tonic" }, "934": { "input": "\nList: tiger ephraim brimful bazaar asleep nouveau\n", "output": "asleep bazaar brimful ephraim nouveau tiger" }, "935": { "input": "\nList: accuracy abundant\n", "output": "abundant accuracy" }, "936": { "input": "\nList: rend servitor spitz cowl gotten roommate celerity quill they licensee exasperater zebra tickle thrall unity accomplish whir\n", "output": "accomplish celerity cowl exasperater gotten licensee quill rend roommate servitor spitz they thrall tickle unity whir zebra" }, "937": { "input": "\nList: chancery extradition educate dextrous downright asunder chartroom andromeda rattail hunch difluoride zagging clause pinnacle\n", "output": "andromeda asunder chancery chartroom clause dextrous difluoride downright educate extradition hunch pinnacle rattail zagging" }, "938": { "input": "\nList: fbi tassel ca threesome boson helsinki johanna retentive vent sawfish balk parliamentarian anew chest phoenix phipps parrish\n", "output": "anew balk boson ca chest fbi helsinki johanna parliamentarian parrish phipps phoenix retentive sawfish tassel threesome vent" }, "939": { "input": "\nList: bobcat backwood topsy residual penh brakeman histochemistry daughter leroy parole breastwork adieu steeplebush palladian indulge fluoresce\n", "output": "adieu backwood bobcat brakeman breastwork daughter fluoresce histochemistry indulge leroy palladian parole penh residual steeplebush topsy" }, "940": { "input": "\nList: sugar boot endothermic bernstein einsteinium fatigue toilsome silicide victory buchwald balzac seabed flea\n", "output": "balzac bernstein boot buchwald einsteinium endothermic fatigue flea seabed silicide sugar toilsome victory" }, "941": { "input": "\nList: phipps irreproachable shortcoming judy northland hayward worm customary determinant serenade beady adieu visigoth foamy sigmund pediment steward\n", "output": "adieu beady customary determinant foamy hayward irreproachable judy northland pediment phipps serenade shortcoming sigmund steward visigoth worm" }, "942": { "input": "\nList: rudiment nurture apoplexy preponderant mortician foam sinusoidal strabismic bakersfield boy talkie\n", "output": "apoplexy bakersfield boy foam mortician nurture preponderant rudiment sinusoidal strabismic talkie" }, "943": { "input": "\nList: schuster woeful katowice\n", "output": "katowice schuster woeful" }, "944": { "input": "\nList: jennifer shroud katie orwellian morley\n", "output": "jennifer katie morley orwellian shroud" }, "945": { "input": "\nList: questionnaire wit meander maraud domesticate totem slander hardhearted cummins corporeal anthropoid youngstown galapagos pirate hazel\n", "output": "anthropoid corporeal cummins domesticate galapagos hardhearted hazel maraud meander pirate questionnaire slander totem wit youngstown" }, "946": { "input": "\nList: wreath nicaragua continent flatland reprehensible adorn offsaddle gunpoint ashram emulate shank bagpipe gyrate conscionable metallurgy cupric hypnosis sud\n", "output": "adorn ashram bagpipe conscionable continent cupric emulate flatland gunpoint gyrate hypnosis metallurgy nicaragua offsaddle reprehensible shank sud wreath" }, "947": { "input": "\nList: payoff deuterium hammond grosbeak ministry pentecostal erase levis carbone hydrogen anglo woolworth grad autocratic\n", "output": "anglo autocratic carbone deuterium erase grad grosbeak hammond hydrogen levis ministry payoff pentecostal woolworth" }, "948": { "input": "\nList: transect tribe candela redneck\n", "output": "candela redneck transect tribe" }, "949": { "input": "\nList: luke clip indiscreet arccosine formaldehyde decay siltstone o'dell canton cinema dana allotted spirit rangy checksummed freedom\n", "output": "allotted arccosine canton checksummed cinema clip dana decay formaldehyde freedom indiscreet luke o'dell rangy siltstone spirit" }, "950": { "input": "\nList: cursor jubilate fable wriggle mollycoddle gunplay browne collage southward peculate dark insignia doe creamy\n", "output": "browne collage creamy cursor dark doe fable gunplay insignia jubilate mollycoddle peculate southward wriggle" }, "951": { "input": "\nList: eyesore lump anna anonymous envy dubhe hostess eave frambesia pica sour diagnosis histochemic bandstop sightsee\n", "output": "anna anonymous bandstop diagnosis dubhe eave envy eyesore frambesia histochemic hostess lump pica sightsee sour" }, "952": { "input": "\nList: buddhist passionate yugoslav\n", "output": "buddhist passionate yugoslav" }, "953": { "input": "\nList: decal graphic amygdaloid trenton rudimentary bannock vortices alicia engle intoxicate than oral\n", "output": "alicia amygdaloid bannock decal engle graphic intoxicate oral rudimentary than trenton vortices" }, "954": { "input": "\nList: eros accusatory aptitude impalpable artifice equilibria expropriate missoula malady\n", "output": "accusatory aptitude artifice equilibria eros expropriate impalpable malady missoula" }, "955": { "input": "\nList: hurst spirogyra dangle magnetron accelerate amuse provoke shanghai speculate mcgregor uk frigga scholastic supple waylay\n", "output": "accelerate amuse dangle frigga hurst magnetron mcgregor provoke scholastic shanghai speculate spirogyra supple uk waylay" }, "956": { "input": "\nList: smote where secondhand megavolt burette alabaster distributor downwind\n", "output": "alabaster burette distributor downwind megavolt secondhand smote where" }, "957": { "input": "\nList: cavern endometriosis marinate\n", "output": "cavern endometriosis marinate" }, "958": { "input": "\nList: prokaryotic defray awe nash craftspeople lymphoma income songful capistrano juicy inadequacy\n", "output": "awe capistrano craftspeople defray inadequacy income juicy lymphoma nash prokaryotic songful" }, "959": { "input": "\nList: october perforate refrain cursor gyroscope jurisdiction salve pornography vicksburg servile kay carboy sway dichotomy smithereens jugate\n", "output": "carboy cursor dichotomy gyroscope jugate jurisdiction kay october perforate pornography refrain salve servile smithereens sway vicksburg" }, "960": { "input": "\nList: nguyen shrimp emitter firecracker\n", "output": "emitter firecracker nguyen shrimp" }, "961": { "input": "\nList: paul emeritus dolores indy guano complete separable niobe presumptive alderman habib elena demoniac rheum\n", "output": "alderman complete demoniac dolores elena emeritus guano habib indy niobe paul presumptive rheum separable" }, "962": { "input": "\nList: azores innkeeper attache\n", "output": "attache azores innkeeper" }, "963": { "input": "\nList: inconsequential phonon thousandth entertain cinnamon cottontail unimodal utmost cotta anita windsor transposition rhesus extraterritorial volumetric snowflake my junco impinge shifty\n", "output": "anita cinnamon cotta cottontail entertain extraterritorial impinge inconsequential junco my phonon rhesus shifty snowflake thousandth transposition unimodal utmost volumetric windsor" }, "964": { "input": "\nList: y's basel lin span helmut dangle billionth\n", "output": "basel billionth dangle helmut lin span y's" }, "965": { "input": "\nList: convoke mandatory axon kenyon\n", "output": "axon convoke kenyon mandatory" }, "966": { "input": "\nList: musician hysteron\n", "output": "hysteron musician" }, "967": { "input": "\nList: pluggable singleton chutney modem fanout drawback ogle palladia concurrent houseboat ivy english sordid intent wheat putty rakish lithic\n", "output": "chutney concurrent drawback english fanout houseboat intent ivy lithic modem ogle palladia pluggable putty rakish singleton sordid wheat" }, "968": { "input": "\nList: hatch accessible within veneer ontario pursuit continuo balkan postgraduate typhus tau simulcast protactinium bullish adulterate\n", "output": "accessible adulterate balkan bullish continuo hatch ontario postgraduate protactinium pursuit simulcast tau typhus veneer within" }, "969": { "input": "\nList: nonchalant pug adele evenhanded higgins lyrebird coney racetrack armature\n", "output": "adele armature coney evenhanded higgins lyrebird nonchalant pug racetrack" }, "970": { "input": "\nList: cleanup queue hymn breastwork redbird degrade\n", "output": "breastwork cleanup degrade hymn queue redbird" }, "971": { "input": "\nList: systemic lao euphoric o'dell pareto jurisprudent stowage reclamation\n", "output": "euphoric jurisprudent lao o'dell pareto reclamation stowage systemic" }, "972": { "input": "\nList: lean goodyear scroll gallium hurley\n", "output": "gallium goodyear hurley lean scroll" }, "973": { "input": "\nList: gelable standpoint clothbound jerusalem\n", "output": "clothbound gelable jerusalem standpoint" }, "974": { "input": "\nList: ornithology gwen suave worse fright lindsey torrance\n", "output": "fright gwen lindsey ornithology suave torrance worse" }, "975": { "input": "\nList: pillory leeway piquant mouse expensive juggle pilgrimage blather creamery pedestal oxidate counterattack propulsion protrusive plumb football\n", "output": "blather counterattack creamery expensive football juggle leeway mouse oxidate pedestal pilgrimage pillory piquant plumb propulsion protrusive" }, "976": { "input": "\nList: capricorn forcible psychosomatic caviar oxygen centenary mclean omit hagen mansfield castanet\n", "output": "capricorn castanet caviar centenary forcible hagen mansfield mclean omit oxygen psychosomatic" }, "977": { "input": "\nList: tuberculin birth hector superfluity promulgate steiner\n", "output": "birth hector promulgate steiner superfluity tuberculin" }, "978": { "input": "\nList: somers graff carl obtrude beaver ralston aristocratic sword dramatist hairdo fuel settle crosscut zeroes hangout tailspin jesuit transliterate fenton\n", "output": "aristocratic beaver carl crosscut dramatist fenton fuel graff hairdo hangout jesuit obtrude ralston settle somers sword tailspin transliterate zeroes" }, "979": { "input": "\nList: stupefy vt kinematic urquhart\n", "output": "kinematic stupefy urquhart vt" }, "980": { "input": "\nList: firepower atheism aqueduct eyesight conscionable erode perish boylston concordant fief rarefy counterthreat inattention perfume polaron teleology medico gab borealis\n", "output": "aqueduct atheism borealis boylston concordant conscionable counterthreat erode eyesight fief firepower gab inattention medico perfume perish polaron rarefy teleology" }, "981": { "input": "\nList: virtuosity gilchrist pizarro duane puppyish seclude buxton wig scriptwriter skyline awesome decontrolled troff\n", "output": "awesome buxton decontrolled duane gilchrist pizarro puppyish scriptwriter seclude skyline troff virtuosity wig" }, "982": { "input": "\nList: stolid lair jovian certificate beard bong\n", "output": "beard bong certificate jovian lair stolid" }, "983": { "input": "\nList: fluoride sanatoria firebug gallagher gusty bismuth eastward groton till confident whirl incentive latinate telltale woodside multiple\n", "output": "bismuth confident eastward firebug fluoride gallagher groton gusty incentive latinate multiple sanatoria telltale till whirl woodside" }, "984": { "input": "\nList: angles hilt william squid banish crept zygote common phenyl entry cumbersome ostracism\n", "output": "angles banish common crept cumbersome entry hilt ostracism phenyl squid william zygote" }, "985": { "input": "\nList: bater costello goldsmith introduce logician shirtmake dumpy\n", "output": "bater costello dumpy goldsmith introduce logician shirtmake" }, "986": { "input": "\nList: garter now stockbroker signet nucleus intervenor keynote numerology vanderpoel brainard forlorn fenugreek dwindle stripe wig perfidy shady deplore cornea\n", "output": "brainard cornea deplore dwindle fenugreek forlorn garter intervenor keynote now nucleus numerology perfidy shady signet stockbroker stripe vanderpoel wig" }, "987": { "input": "\nList: oresteia virginal chargeable waterway mendelian evacuate stark priestley wafer dovekie concourse contumacy trademark topeka central scout\n", "output": "central chargeable concourse contumacy dovekie evacuate mendelian oresteia priestley scout stark topeka trademark virginal wafer waterway" }, "988": { "input": "\nList: huxley careful inexplainable diploidy shrubbery slowdown dairylea ingersoll pigeon bernhard fight matriarch kidnapped angst appleton literate epaulet annapolis cede dollar\n", "output": "angst annapolis appleton bernhard careful cede dairylea diploidy dollar epaulet fight huxley inexplainable ingersoll kidnapped literate matriarch pigeon shrubbery slowdown" }, "989": { "input": "\nList: crossarm lakeside wittgenstein handicraftsman gossip hearth earsplitting babbitt shill arsine\n", "output": "arsine babbitt crossarm earsplitting gossip handicraftsman hearth lakeside shill wittgenstein" }, "990": { "input": "\nList: aquifer breakage prohibitive worsen spoke raffish ascertain pulmonary pistole kilimanjaro calais axiom awl arrangeable nip industrial torsion distribution ohmmeter crab\n", "output": "aquifer arrangeable ascertain awl axiom breakage calais crab distribution industrial kilimanjaro nip ohmmeter pistole prohibitive pulmonary raffish spoke torsion worsen" }, "991": { "input": "\nList: diagnosis ny dolphin harangue yarmulke bayonet squelch acquire pleural schooner deceptive beautiful deere botswana dungeon compatible\n", "output": "acquire bayonet beautiful botswana compatible deceptive deere diagnosis dolphin dungeon harangue ny pleural schooner squelch yarmulke" }, "992": { "input": "\nList: fermium hare miguel morose chateau nasa waldron patterson\n", "output": "chateau fermium hare miguel morose nasa patterson waldron" }, "993": { "input": "\nList: splotch smattering nato plank loire sequoia cochineal wrist musicale stagecoach impressible trigram sidearm lowland fermat babysit commutate sus scarlatti acoustic\n", "output": "acoustic babysit cochineal commutate fermat impressible loire lowland musicale nato plank scarlatti sequoia sidearm smattering splotch stagecoach sus trigram wrist" }, "994": { "input": "\nList: expansion frigid doctorate ectoderm montague yarmouth\n", "output": "doctorate ectoderm expansion frigid montague yarmouth" }, "995": { "input": "\nList: box intestate fled fibrosis pavilion carib borneo angular\n", "output": "angular borneo box carib fibrosis fled intestate pavilion" }, "996": { "input": "\nList: about orwell quota\n", "output": "about orwell quota" }, "997": { "input": "\nList: bureau strontium\n", "output": "bureau strontium" }, "998": { "input": "\nList: isocline transverse precocity tractor pinwheel newbold knossos marlborough threshold azure callisto\n", "output": "azure callisto isocline knossos marlborough newbold pinwheel precocity threshold tractor transverse" }, "999": { "input": "\nList: porosity captaincy tenderhearted ouzel nematode global liggett siegfried saprophyte erudition monsanto porterhouse\n", "output": "captaincy erudition global liggett monsanto nematode ouzel porosity porterhouse saprophyte siegfried tenderhearted" }, "1000": { "input": "\nList: terrapin tenant clamshell forever aboveground dewdrop dodge booky transpiration munificent satanic\n", "output": "aboveground booky clamshell dewdrop dodge forever munificent satanic tenant terrapin transpiration" }, "1001": { "input": "\nList: stapleton caldera psychiatric juncture radioastronomy ox\n", "output": "caldera juncture ox psychiatric radioastronomy stapleton" }, "1002": { "input": "\nList: cecil carbine ringlet spree kayo many therapeutic dream pleura stiffen clara candelabra anchorage postprocessor kwashiorkor patterson\n", "output": "anchorage candelabra carbine cecil clara dream kayo kwashiorkor many patterson pleura postprocessor ringlet spree stiffen therapeutic" }, "1003": { "input": "\nList: nee rapacious applause wive switchblade sofa albatross galvanism cocaine arnold monash deprive palazzo web scriptural\n", "output": "albatross applause arnold cocaine deprive galvanism monash nee palazzo rapacious scriptural sofa switchblade web wive" }, "1004": { "input": "\nList: revelatory rabbi neonate medea garage swahili muon december byline atlanta cursory ambient applicant sluggish stanton wei weaken conley\n", "output": "ambient applicant atlanta byline conley cursory december garage medea muon neonate rabbi revelatory sluggish stanton swahili weaken wei" }, "1005": { "input": "\nList: rancid wilt journey concomitant project\n", "output": "concomitant journey project rancid wilt" }, "1006": { "input": "\nList: copywriter gunsling phosphoresce curvilinear sleety rife kinsmen necessary passaic hobby orthorhombic diachronic\n", "output": "copywriter curvilinear diachronic gunsling hobby kinsmen necessary orthorhombic passaic phosphoresce rife sleety" }, "1007": { "input": "\nList: bernadine bamboo\n", "output": "bamboo bernadine" }, "1008": { "input": "\nList: apparition party hilarious powdery tablespoonful lockhart mouthpiece\n", "output": "apparition hilarious lockhart mouthpiece party powdery tablespoonful" }, "1009": { "input": "\nList: marrowbone click rever peabody bagpipe arrival bumptious\n", "output": "arrival bagpipe bumptious click marrowbone peabody rever" }, "1010": { "input": "\nList: abort blurb artemis provident quasar moon perilous chromosomal\n", "output": "abort artemis blurb chromosomal moon perilous provident quasar" }, "1011": { "input": "\nList: indoctrinate diet lounsbury forgave ethology bide opacity\n", "output": "bide diet ethology forgave indoctrinate lounsbury opacity" }, "1012": { "input": "\nList: argillaceous flabbergast rooftree commendatory playboy certainty cyclorama aggregate cavalry\n", "output": "aggregate argillaceous cavalry certainty commendatory cyclorama flabbergast playboy rooftree" }, "1013": { "input": "\nList: wind stubble ancient thai cole procrastinate\n", "output": "ancient cole procrastinate stubble thai wind" }, "1014": { "input": "\nList: helvetica daffodil beaujolais sky wakeful wayside viet squabble didactic abash quiz\n", "output": "abash beaujolais daffodil didactic helvetica quiz sky squabble viet wakeful wayside" }, "1015": { "input": "\nList: stress carbide strickland sulfanilamide faint pull bare forsake loquacious prexy theorist octane barbarous\n", "output": "barbarous bare carbide faint forsake loquacious octane prexy pull stress strickland sulfanilamide theorist" }, "1016": { "input": "\nList: agribusiness thoroughgoing zesty spaulding bladdernut tundra marriageable anabel\n", "output": "agribusiness anabel bladdernut marriageable spaulding thoroughgoing tundra zesty" }, "1017": { "input": "\nList: machismo rash discriminate perverse mead submittal offload mirfak sanderling dapple reach pit cryptogram emphysematous\n", "output": "cryptogram dapple discriminate emphysematous machismo mead mirfak offload perverse pit rash reach sanderling submittal" }, "1018": { "input": "\nList: chintzy beverage\n", "output": "beverage chintzy" }, "1019": { "input": "\nList: spicy empathic chitin creep betide unison loft blameworthy minimal kabuki bowmen crystal seawater\n", "output": "betide blameworthy bowmen chitin creep crystal empathic kabuki loft minimal seawater spicy unison" }, "1020": { "input": "\nList: libidinous sang lithic hardcover deify messieurs express echoes abominable despite indonesia radian committal utterance struck gateway hypnosis stooge\n", "output": "abominable committal deify despite echoes express gateway hardcover hypnosis indonesia libidinous lithic messieurs radian sang stooge struck utterance" }, "1021": { "input": "\nList: primp spurge ancestor collide terminology gullah candela everyone dissipate suicidal chipboard daley intuit subrogation\n", "output": "ancestor candela chipboard collide daley dissipate everyone gullah intuit primp spurge subrogation suicidal terminology" }, "1022": { "input": "\nList: medici precept cotty abyss plastic berg smart theist duly surety riddle\n", "output": "abyss berg cotty duly medici plastic precept riddle smart surety theist" }, "1023": { "input": "\nList: kurt farmland arequipa data regiment cove beth sidewall lucre fractal sow grout haulage buttercup idiocy\n", "output": "arequipa beth buttercup cove data farmland fractal grout haulage idiocy kurt lucre regiment sidewall sow" }, "1024": { "input": "\nList: algal morgen b forbidden alligator inattention dragonfly\n", "output": "algal alligator b dragonfly forbidden inattention morgen" }, "1025": { "input": "\nList: aircraft agog causal bell walrus orifice central balsam\n", "output": "agog aircraft balsam bell causal central orifice walrus" }, "1026": { "input": "\nList: rushmore patriarchal maroon delicate birmingham wed gulp\n", "output": "birmingham delicate gulp maroon patriarchal rushmore wed" }, "1027": { "input": "\nList: celery prognosticate portmanteau elgin knoxville pentecostal singlehanded bernadine scientific panicked heterodyne indignation applaud highlight quadric exasperate wonder cessation galt\n", "output": "applaud bernadine celery cessation elgin exasperate galt heterodyne highlight indignation knoxville panicked pentecostal portmanteau prognosticate quadric scientific singlehanded wonder" }, "1028": { "input": "\nList: missive confucius apathetic slouch windshield workbook harangue hurley keynesian insensitive liturgy\n", "output": "apathetic confucius harangue hurley insensitive keynesian liturgy missive slouch windshield workbook" }, "1029": { "input": "\nList: crossbill cavalier depositor topheavy wahl cloudy quantum\n", "output": "cavalier cloudy crossbill depositor quantum topheavy wahl" }, "1030": { "input": "\nList: mayfair superfluous rejoinder populist cyprus dryad dayton mickey monster rube everhart teleprinter\n", "output": "cyprus dayton dryad everhart mayfair mickey monster populist rejoinder rube superfluous teleprinter" }, "1031": { "input": "\nList: bemadden diem univalent thailand spangle expletive law haw blaine lubbock ascii eightyfold bronzy louvre\n", "output": "ascii bemadden blaine bronzy diem eightyfold expletive haw law louvre lubbock spangle thailand univalent" }, "1032": { "input": "\nList: cantabrigian onetime immense mutilate constructible addressee peanut hyphenate lindberg sextuple\n", "output": "addressee cantabrigian constructible hyphenate immense lindberg mutilate onetime peanut sextuple" }, "1033": { "input": "\nList: riboflavin leftover methionine shoreline metabolism strenuous packet peccary digestion briton alongside point ride kraft glee peppery chen imprecise\n", "output": "alongside briton chen digestion glee imprecise kraft leftover metabolism methionine packet peccary peppery point riboflavin ride shoreline strenuous" }, "1034": { "input": "\nList: mcclellan faulkner foundry alberta get preventive external nashville simper grandchildren hob\n", "output": "alberta external faulkner foundry get grandchildren hob mcclellan nashville preventive simper" }, "1035": { "input": "\nList: chronography demolish functor momentary beau contagious psychosomatic jolla unwieldy formic oftentimes getaway sin needham sailboat archetype dinah strontium tracery\n", "output": "archetype beau chronography contagious demolish dinah formic functor getaway jolla momentary needham oftentimes psychosomatic sailboat sin strontium tracery unwieldy" }, "1036": { "input": "\nList: joey simultaneity wilhelm all foyer sis gestation screwy monarchic mardi\n", "output": "all foyer gestation joey mardi monarchic screwy simultaneity sis wilhelm" }, "1037": { "input": "\nList: guidebook factor flutter alcoholic\n", "output": "alcoholic factor flutter guidebook" }, "1038": { "input": "\nList: deceive slop maledict close yin histamine hydrodynamic wiggly prostate bluish obedient valine\n", "output": "bluish close deceive histamine hydrodynamic maledict obedient prostate slop valine wiggly yin" }, "1039": { "input": "\nList: oxonian glycogen temporary obsidian camouflage officio simultaneous frizzle atomic wellbeing hermeneutic postmaster schafer orchis\n", "output": "atomic camouflage frizzle glycogen hermeneutic obsidian officio orchis oxonian postmaster schafer simultaneous temporary wellbeing" }, "1040": { "input": "\nList: duma cordage\n", "output": "cordage duma" }, "1041": { "input": "\nList: joanna epic pascal carousel pinwheel notch hypophyseal tugging\n", "output": "carousel epic hypophyseal joanna notch pascal pinwheel tugging" }, "1042": { "input": "\nList: breakoff buffoon saucy saint malfunction duodenum x's hop coypu ideal sen inland attention encroach pterodactyl unity\n", "output": "attention breakoff buffoon coypu duodenum encroach hop ideal inland malfunction pterodactyl saint saucy sen unity x's" }, "1043": { "input": "\nList: cavemen perspicuity intemperance acculturate conspirator blurt cyclotomic water transshipping compel yeast commission quadric convertible comanche inchworm craftsman can't\n", "output": "acculturate blurt can't cavemen comanche commission compel conspirator convertible craftsman cyclotomic inchworm intemperance perspicuity quadric transshipping water yeast" }, "1044": { "input": "\nList: grievance gillespie ymca grist textile duodenum elmer eigenvalue turnstone siamese redstart inflate theft grout comatose whereby victoria gutenberg moliere headline\n", "output": "comatose duodenum eigenvalue elmer gillespie grievance grist grout gutenberg headline inflate moliere redstart siamese textile theft turnstone victoria whereby ymca" }, "1045": { "input": "\nList: plaintiff loose audacity dolly kristin buxom slouch feckless harm bombastic world lycopodium intrigue\n", "output": "audacity bombastic buxom dolly feckless harm intrigue kristin loose lycopodium plaintiff slouch world" }, "1046": { "input": "\nList: midweek sinful bolshoi firehouse chapel hilum azimuth pinnate kingsley ketone efflorescent fargo\n", "output": "azimuth bolshoi chapel efflorescent fargo firehouse hilum ketone kingsley midweek pinnate sinful" }, "1047": { "input": "\nList: academician dutchman lura tau commission quiescent az parisian patois\n", "output": "academician az commission dutchman lura parisian patois quiescent tau" }, "1048": { "input": "\nList: dumpty duopoly\n", "output": "dumpty duopoly" }, "1049": { "input": "\nList: bell lofty forbearance ruination told skunk williamson labia calfskin ideology fluent magic rampart fluffy they accrue uracil thoroughgoing\n", "output": "accrue bell calfskin fluent fluffy forbearance ideology labia lofty magic rampart ruination skunk they thoroughgoing told uracil williamson" }, "1050": { "input": "\nList: g utrecht iceland bleak governor romp craftspeople versailles\n", "output": "bleak craftspeople g governor iceland romp utrecht versailles" }, "1051": { "input": "\nList: extent thunderstorm benelux largemouth\n", "output": "benelux extent largemouth thunderstorm" }, "1052": { "input": "\nList: grumman brand count\n", "output": "brand count grumman" }, "1053": { "input": "\nList: regurgitate beethoven hazard finnegan helpful obedient\n", "output": "beethoven finnegan hazard helpful obedient regurgitate" }, "1054": { "input": "\nList: topocentric hadn't habitual hesitate sinai nettle huggins fiefdom onomatopoeia housebreak\n", "output": "fiefdom habitual hadn't hesitate housebreak huggins nettle onomatopoeia sinai topocentric" }, "1055": { "input": "\nList: phosphorus traversal cringe dielectric ephemeris sabbath viscount decimal claudio\n", "output": "claudio cringe decimal dielectric ephemeris phosphorus sabbath traversal viscount" }, "1056": { "input": "\nList: neoprene hatchet confidential swanson tater quill headroom kite energetic squad highlight paranoiac hubert airbrush postscript turbofan quint fetch\n", "output": "airbrush confidential energetic fetch hatchet headroom highlight hubert kite neoprene paranoiac postscript quill quint squad swanson tater turbofan" }, "1057": { "input": "\nList: childish castro\n", "output": "castro childish" }, "1058": { "input": "\nList: clyde palace brennan functor septic ingenuity skippy arrangeable australite tale skipjack pyrite dressmake arty houdini\n", "output": "arrangeable arty australite brennan clyde dressmake functor houdini ingenuity palace pyrite septic skipjack skippy tale" }, "1059": { "input": "\nList: elephantine eminent scarify reject interest woodyard held rudder\n", "output": "elephantine eminent held interest reject rudder scarify woodyard" }, "1060": { "input": "\nList: grandmother frizzy schoolboy guenther preemptor\n", "output": "frizzy grandmother guenther preemptor schoolboy" }, "1061": { "input": "\nList: fascist decollimate szilard multiplication boo axial offensive brainstorm usher clifton escadrille pilate flack\n", "output": "axial boo brainstorm clifton decollimate escadrille fascist flack multiplication offensive pilate szilard usher" }, "1062": { "input": "\nList: carboloy dune parisian onslaught mutagen\n", "output": "carboloy dune mutagen onslaught parisian" }, "1063": { "input": "\nList: stickleback deputation coxcomb snapdragon ail dogfish circumspect impeach invest\n", "output": "ail circumspect coxcomb deputation dogfish impeach invest snapdragon stickleback" }, "1064": { "input": "\nList: geophysics mycobacteria biracial harm millipede mailman determinate\n", "output": "biracial determinate geophysics harm mailman millipede mycobacteria" }, "1065": { "input": "\nList: plastisol verona sparkman bela crowbar turn promise alton prospectus locust bravado federal concave latch\n", "output": "alton bela bravado concave crowbar federal latch locust plastisol promise prospectus sparkman turn verona" }, "1066": { "input": "\nList: phenomena shaggy lifestyle boxwood specify superfluous\n", "output": "boxwood lifestyle phenomena shaggy specify superfluous" }, "1067": { "input": "\nList: jeannie astringent workspace mitral hawaiian vinci beresford litigious harrisburg heartfelt toolmake yawn bunyan clamshell sachs senegal infinitesimal backup decryption\n", "output": "astringent backup beresford bunyan clamshell decryption harrisburg hawaiian heartfelt infinitesimal jeannie litigious mitral sachs senegal toolmake vinci workspace yawn" }, "1068": { "input": "\nList: diaper nicodemus perseus headline colic felon greenware lazarus winemaster battle impugn ligament suet fourteen\n", "output": "battle colic diaper felon fourteen greenware headline impugn lazarus ligament nicodemus perseus suet winemaster" }, "1069": { "input": "\nList: egocentric triploid calf theoretician\n", "output": "calf egocentric theoretician triploid" }, "1070": { "input": "\nList: vintner entirety parmesan abutted incubate innuendo japan impediment gear furry abominate libra eviscerate intent aeneid candlewick\n", "output": "abominate abutted aeneid candlewick entirety eviscerate furry gear impediment incubate innuendo intent japan libra parmesan vintner" }, "1071": { "input": "\nList: superannuate dreg brie baptist conscription tad sphygmomanometer soldier pill niagara tenacity filch synopsis sand pectoral radiant natal hob grandstand almighty\n", "output": "almighty baptist brie conscription dreg filch grandstand hob natal niagara pectoral pill radiant sand soldier sphygmomanometer superannuate synopsis tad tenacity" }, "1072": { "input": "\nList: cooky apostasy tramway java snifter thereat carbonyl grassy rigel prefect cattlemen toyota algeria packard\n", "output": "algeria apostasy carbonyl cattlemen cooky grassy java packard prefect rigel snifter thereat toyota tramway" }, "1073": { "input": "\nList: bookseller irresistible\n", "output": "bookseller irresistible" }, "1074": { "input": "\nList: specie malone\n", "output": "malone specie" }, "1075": { "input": "\nList: coffin myopic camel companion substantiate setscrew somehow judo bestow headstand alphonse typesetter sultan squatting napoleonic quasiparticle\n", "output": "alphonse bestow camel coffin companion headstand judo myopic napoleonic quasiparticle setscrew somehow squatting substantiate sultan typesetter" }, "1076": { "input": "\nList: arachnid san banshee lockwood dailey alum\n", "output": "alum arachnid banshee dailey lockwood san" }, "1077": { "input": "\nList: devious donate economic trio washington acidulate confrontation apport bartok watchworks schematic fortescue shakeable flunky circumflex spikenard surfactant locomotory\n", "output": "acidulate apport bartok circumflex confrontation devious donate economic flunky fortescue locomotory schematic shakeable spikenard surfactant trio washington watchworks" }, "1078": { "input": "\nList: tiber threw paradoxic\n", "output": "paradoxic threw tiber" }, "1079": { "input": "\nList: circulatory grope pinkie portsmouth ariadne germ declaim examination testicle morpheme asperity angular intonate carcinogen odious encomia chock derbyshire\n", "output": "angular ariadne asperity carcinogen chock circulatory declaim derbyshire encomia examination germ grope intonate morpheme odious pinkie portsmouth testicle" }, "1080": { "input": "\nList: onomatopoeic dispensary floridian anther summate reactant recompense bound symbiotic nudge niobe uninominal adhere germanic gland mutant pagan bloodhound\n", "output": "adhere anther bloodhound bound dispensary floridian germanic gland mutant niobe nudge onomatopoeic pagan reactant recompense summate symbiotic uninominal" }, "1081": { "input": "\nList: bushwhack hippy yakima nickname preach squabble jock corrugate reykjavik apollonian smoothbore visceral pronto natal import\n", "output": "apollonian bushwhack corrugate hippy import jock natal nickname preach pronto reykjavik smoothbore squabble visceral yakima" }, "1082": { "input": "\nList: magnetite lip prognosticate electrolysis absurdum physique lin birdie rigel jupiter synonym worksheet nautical fingerling meistersinger lykes turbinate\n", "output": "absurdum birdie electrolysis fingerling jupiter lin lip lykes magnetite meistersinger nautical physique prognosticate rigel synonym turbinate worksheet" }, "1083": { "input": "\nList: musty alga combatant isomer lugging miscegenation sanborn\n", "output": "alga combatant isomer lugging miscegenation musty sanborn" }, "1084": { "input": "\nList: firehouse eukaryote vengeful ethyl burt ruffian andesite gestural burden runneth\n", "output": "andesite burden burt ethyl eukaryote firehouse gestural ruffian runneth vengeful" }, "1085": { "input": "\nList: woodlawn siva itinerary peregrine correlate mayapple militant seduce watchmake categoric evade parentheses provide are collateral anne shone dumpty zeiss crude\n", "output": "anne are categoric collateral correlate crude dumpty evade itinerary mayapple militant parentheses peregrine provide seduce shone siva watchmake woodlawn zeiss" }, "1086": { "input": "\nList: lordosis roomy earnest chirp poughkeepsie arthropod interim rhythmic wool tun helena pavanne tab\n", "output": "arthropod chirp earnest helena interim lordosis pavanne poughkeepsie rhythmic roomy tab tun wool" }, "1087": { "input": "\nList: smell kirby expeditious shipload rake reinhold burgess thruway\n", "output": "burgess expeditious kirby rake reinhold shipload smell thruway" }, "1088": { "input": "\nList: cysteine acquaint brice breast hobbes misanthropic basalt treason\n", "output": "acquaint basalt breast brice cysteine hobbes misanthropic treason" }, "1089": { "input": "\nList: grain councilman parody lafayette declassify exterior progress verse bellum nephew polyhedron grill spoilage pepsico hive exeter waffle\n", "output": "bellum councilman declassify exeter exterior grain grill hive lafayette nephew parody pepsico polyhedron progress spoilage verse waffle" }, "1090": { "input": "\nList: earthmoving lola plummet paramilitary ahmedabad chromosphere you're drizzly iniquity lakeside skulk bolt songbook gottfried turnip chimeric nice lagoon redbird bookplate\n", "output": "ahmedabad bolt bookplate chimeric chromosphere drizzly earthmoving gottfried iniquity lagoon lakeside lola nice paramilitary plummet redbird skulk songbook turnip you're" }, "1091": { "input": "\nList: coma bryan village raindrop proline pickup net anecdotal\n", "output": "anecdotal bryan coma net pickup proline raindrop village" }, "1092": { "input": "\nList: propriety lineage march domingo voice quintillion tensile carson waterfront nimbus greenware eleven jaeger yolk beardsley octogenarian polarography wish\n", "output": "beardsley carson domingo eleven greenware jaeger lineage march nimbus octogenarian polarography propriety quintillion tensile voice waterfront wish yolk" }, "1093": { "input": "\nList: chloroplast screw implement love sanctify mycology stannic\n", "output": "chloroplast implement love mycology sanctify screw stannic" }, "1094": { "input": "\nList: estimate strive mud sanctify meld chromatin colic bipolar kirby bonito glendale elgin neptunium reconnaissance\n", "output": "bipolar bonito chromatin colic elgin estimate glendale kirby meld mud neptunium reconnaissance sanctify strive" }, "1095": { "input": "\nList: randall lifetime spectrophotometer bryce levy\n", "output": "bryce levy lifetime randall spectrophotometer" }, "1096": { "input": "\nList: strawberry tim rube rampart goucher sting exalt columbia caliphate lubricious swarm\n", "output": "caliphate columbia exalt goucher lubricious rampart rube sting strawberry swarm tim" }, "1097": { "input": "\nList: carney prostaglandin maid fete\n", "output": "carney fete maid prostaglandin" }, "1098": { "input": "\nList: matrilineal doubleton collet abalone led alamo whelk glandular ghost popular larkspur sweat cruddy tundra olympia homebuilder could terror jessica\n", "output": "abalone alamo collet could cruddy doubleton ghost glandular homebuilder jessica larkspur led matrilineal olympia popular sweat terror tundra whelk" }, "1099": { "input": "\nList: alchemist pliable adsorbate\n", "output": "adsorbate alchemist pliable" }, "1100": { "input": "\nList: evenhanded pleural liberate thulium arsenal dollop bedtime thwack anatomy disruptive imaginary omnivore calculable\n", "output": "anatomy arsenal bedtime calculable disruptive dollop evenhanded imaginary liberate omnivore pleural thulium thwack" }, "1101": { "input": "\nList: play bellow whittle saxophone havilland spokesmen midsection calculable coup gyp schizophrenic toroid bannock\n", "output": "bannock bellow calculable coup gyp havilland midsection play saxophone schizophrenic spokesmen toroid whittle" }, "1102": { "input": "\nList: vanity doctorate syllabic nucleus muddle lana cyclops diehard diminish keyhole\n", "output": "cyclops diehard diminish doctorate keyhole lana muddle nucleus syllabic vanity" }, "1103": { "input": "\nList: puddle franz\n", "output": "franz puddle" }, "1104": { "input": "\nList: coalesce apotheosis strict dawn glamour boardinghouse hover deject goldstine kick proofread memoir loire eucalyptus irradiate endgame speedwell ethereal pork\n", "output": "apotheosis boardinghouse coalesce dawn deject endgame ethereal eucalyptus glamour goldstine hover irradiate kick loire memoir pork proofread speedwell strict" }, "1105": { "input": "\nList: secretarial emphases awe confound few competition rev eliminate raptorial fain gargantuan contrive horsepower baja lass biz\n", "output": "awe baja biz competition confound contrive eliminate emphases fain few gargantuan horsepower lass raptorial rev secretarial" }, "1106": { "input": "\nList: unite cashew breathy sunset dishwasher compensate argumentative capistrano editorial stan brandish\n", "output": "argumentative brandish breathy capistrano cashew compensate dishwasher editorial stan sunset unite" }, "1107": { "input": "\nList: landowning miff sphygmomanometer whence antonio contest fin grainy obelisk farnsworth rusty gas cargill worldwide october reckon timetable snore\n", "output": "antonio cargill contest farnsworth fin gas grainy landowning miff obelisk october reckon rusty snore sphygmomanometer timetable whence worldwide" }, "1108": { "input": "\nList: departure baronial felice macassar dictum projectile always presidential jeff virtue\n", "output": "always baronial departure dictum felice jeff macassar presidential projectile virtue" }, "1109": { "input": "\nList: lsi foxhall diabolic unkempt diploma agricultural jiggle saute\n", "output": "agricultural diabolic diploma foxhall jiggle lsi saute unkempt" }, "1110": { "input": "\nList: conception stapleton gigantic osaka arcsine solvent ulcer debrief hippo\n", "output": "arcsine conception debrief gigantic hippo osaka solvent stapleton ulcer" }, "1111": { "input": "\nList: collimate borroughs\n", "output": "borroughs collimate" }, "1112": { "input": "\nList: piraeus copulate sharpe areawide geisha etymology emphases arachnid oregano shoshone eugenic jot unipolar ignore fumigant marshy exorcist\n", "output": "arachnid areawide copulate emphases etymology eugenic exorcist fumigant geisha ignore jot marshy oregano piraeus sharpe shoshone unipolar" }, "1113": { "input": "\nList: moore sick sana baku fearful midterm trade rheumatic onondaga volatile\n", "output": "baku fearful midterm moore onondaga rheumatic sana sick trade volatile" }, "1114": { "input": "\nList: conclusion laughlin sunrise bewail stanchion jurassic mustard\n", "output": "bewail conclusion jurassic laughlin mustard stanchion sunrise" }, "1115": { "input": "\nList: landlord spooky katharine unidirectional snuggle coextensive hooves involute pompano hubby thomson michelin barren molly slim spell conferrable downstairs mollycoddle\n", "output": "barren coextensive conferrable downstairs hooves hubby involute katharine landlord michelin molly mollycoddle pompano slim snuggle spell spooky thomson unidirectional" }, "1116": { "input": "\nList: talkative eugene gaff haystack gullet beast eminent railbird counterproductive mayhem crescent\n", "output": "beast counterproductive crescent eminent eugene gaff gullet haystack mayhem railbird talkative" }, "1117": { "input": "\nList: accelerometer circumspect effluvia thebes jet amperage solvent blackfeet vengeful european involution feisty brad poem isolate sorenson hard emissary\n", "output": "accelerometer amperage blackfeet brad circumspect effluvia emissary european feisty hard involution isolate jet poem solvent sorenson thebes vengeful" }, "1118": { "input": "\nList: panoramic temptress greatcoat epa herr fibrous fateful blackbird ripley sausage collegian lambert upstream\n", "output": "blackbird collegian epa fateful fibrous greatcoat herr lambert panoramic ripley sausage temptress upstream" }, "1119": { "input": "\nList: formaldehyde thumbprint plenipotentiary earring gage puffin aquarium bannock sneak villa harpy schmidt tridiagonal myra petri\n", "output": "aquarium bannock earring formaldehyde gage harpy myra petri plenipotentiary puffin schmidt sneak thumbprint tridiagonal villa" }, "1120": { "input": "\nList: blaine billy stoop statesmen sawmill interior husky zig bela imperil solo infatuate hoopla idiosyncrasy lanthanum intercalate twirl\n", "output": "bela billy blaine hoopla husky idiosyncrasy imperil infatuate intercalate interior lanthanum sawmill solo statesmen stoop twirl zig" }, "1121": { "input": "\nList: lorinda waterline dickey bizet codicil gull captious hydrogenate successive\n", "output": "bizet captious codicil dickey gull hydrogenate lorinda successive waterline" }, "1122": { "input": "\nList: saginaw pillow feckless codeword urchin depute sawtimber lazybones wishful limp mop violet yokuts manitoba totem parkish mutilate enforcible\n", "output": "codeword depute enforcible feckless lazybones limp manitoba mop mutilate parkish pillow saginaw sawtimber totem urchin violet wishful yokuts" }, "1123": { "input": "\nList: depredation brainwash\n", "output": "brainwash depredation" }, "1124": { "input": "\nList: ballroom serge salesmen hecate russell slump jubilant quizzical girlish expeditious back thank tantric insolvent godparent bp grocer\n", "output": "back ballroom bp expeditious girlish godparent grocer hecate insolvent jubilant quizzical russell salesmen serge slump tantric thank" }, "1125": { "input": "\nList: deepen diva ambrose faro scrubby spume planoconvex blind sway\n", "output": "ambrose blind deepen diva faro planoconvex scrubby spume sway" }, "1126": { "input": "\nList: pandemonium party role decorate guilford haag manchester egotism quip squeegee score tarpaper broadside\n", "output": "broadside decorate egotism guilford haag manchester pandemonium party quip role score squeegee tarpaper" }, "1127": { "input": "\nList: hungarian vassal\n", "output": "hungarian vassal" }, "1128": { "input": "\nList: paroxysm aitken robert bladdernut jugging fluff scary longish body\n", "output": "aitken bladdernut body fluff jugging longish paroxysm robert scary" }, "1129": { "input": "\nList: homeomorphic rustle thumbnail responsive holography household wharves bellicose quintus heartthrob\n", "output": "bellicose heartthrob holography homeomorphic household quintus responsive rustle thumbnail wharves" }, "1130": { "input": "\nList: megalomania trinket gryphon spill diminution bindweed\n", "output": "bindweed diminution gryphon megalomania spill trinket" }, "1131": { "input": "\nList: gracious hyphenate suffix\n", "output": "gracious hyphenate suffix" }, "1132": { "input": "\nList: sculptor incentive heublein drugstore colic watershed impetus consummate poet octahedron bustard\n", "output": "bustard colic consummate drugstore heublein impetus incentive octahedron poet sculptor watershed" }, "1133": { "input": "\nList: sanskrit quitting sandpiper cortland homunculus shaky dutiable diabolic\n", "output": "cortland diabolic dutiable homunculus quitting sandpiper sanskrit shaky" }, "1134": { "input": "\nList: casteth tightwad annular luminance pythagorean schoolmate brunswick berate jogging safekeeping\n", "output": "annular berate brunswick casteth jogging luminance pythagorean safekeeping schoolmate tightwad" }, "1135": { "input": "\nList: maxwell teal crypto monte vindicate crash tight rankle illegible surf\n", "output": "crash crypto illegible maxwell monte rankle surf teal tight vindicate" }, "1136": { "input": "\nList: granite rubaiyat insult sauerkraut ali militiaman pinsky ely bespoke hillock jut planoconvex emergent lachesis mennonite gelable yttrium resistible\n", "output": "ali bespoke ely emergent gelable granite hillock insult jut lachesis mennonite militiaman pinsky planoconvex resistible rubaiyat sauerkraut yttrium" }, "1137": { "input": "\nList: fission sandy venture wiry memorable bentham durable cuff gong daimler moloch intense minnesota tine putrid munificent tacky astride\n", "output": "astride bentham cuff daimler durable fission gong intense memorable minnesota moloch munificent putrid sandy tacky tine venture wiry" }, "1138": { "input": "\nList: flimsy order miasma enthusiast decode\n", "output": "decode enthusiast flimsy miasma order" }, "1139": { "input": "\nList: frenchman translucent madman lumbar rebel privilege inviolate rampage imperceptible\n", "output": "frenchman imperceptible inviolate lumbar madman privilege rampage rebel translucent" }, "1140": { "input": "\nList: pamela agglutinin pessimist blimp inanimate snapshot\n", "output": "agglutinin blimp inanimate pamela pessimist snapshot" }, "1141": { "input": "\nList: storekeep potentiometer sip ascertain cleveland\n", "output": "ascertain cleveland potentiometer sip storekeep" }, "1142": { "input": "\nList: cuisine python altruism bub chef ironbound declassify embouchure songbook vice optimum ingrate dexterity consolation dicta seville equable studebaker paleozoic\n", "output": "altruism bub chef consolation cuisine declassify dexterity dicta embouchure equable ingrate ironbound optimum paleozoic python seville songbook studebaker vice" }, "1143": { "input": "\nList: hailstorm oft mealy attack puncture blomquist plaque wisenheimer aeneid solicitor tactile papillary alexei\n", "output": "aeneid alexei attack blomquist hailstorm mealy oft papillary plaque puncture solicitor tactile wisenheimer" }, "1144": { "input": "\nList: fief vermouth tattler extradition kerygma python livid lability\n", "output": "extradition fief kerygma lability livid python tattler vermouth" }, "1145": { "input": "\nList: acton seem smog urn steiner wildebeest seventy cyclops\n", "output": "acton cyclops seem seventy smog steiner urn wildebeest" }, "1146": { "input": "\nList: leave putrefy pollen sleeve impious radcliffe emulsify\n", "output": "emulsify impious leave pollen putrefy radcliffe sleeve" }, "1147": { "input": "\nList: thea lubricious barbarous coda sweden processor\n", "output": "barbarous coda lubricious processor sweden thea" }, "1148": { "input": "\nList: lakh seethe indo placeable fervid detain classic\n", "output": "classic detain fervid indo lakh placeable seethe" }, "1149": { "input": "\nList: dewey birthday o'connor\n", "output": "birthday dewey o'connor" }, "1150": { "input": "\nList: pastel belladonna transudate teak cantabrigian polio jarvin wiseacre cut eldest vought\n", "output": "belladonna cantabrigian cut eldest jarvin pastel polio teak transudate vought wiseacre" }, "1151": { "input": "\nList: character salish wring satire vineyard frightful bert\n", "output": "bert character frightful salish satire vineyard wring" }, "1152": { "input": "\nList: cityscape maier excerpt bible divert woodwind\n", "output": "bible cityscape divert excerpt maier woodwind" }, "1153": { "input": "\nList: scarf riyadh positive indochinese nova terpsichorean autobiography music ungulate befriend gigantic\n", "output": "autobiography befriend gigantic indochinese music nova positive riyadh scarf terpsichorean ungulate" }, "1154": { "input": "\nList: apollo preferring boastful hebrew aster uri rosenblum creamery amphioxis breathe hum revenge\n", "output": "amphioxis apollo aster boastful breathe creamery hebrew hum preferring revenge rosenblum uri" }, "1155": { "input": "\nList: coastal aesthetic secretariat canadian insistent moneywort suburbia\n", "output": "aesthetic canadian coastal insistent moneywort secretariat suburbia" }, "1156": { "input": "\nList: cryptanalyst genie implement cycle extradite slovenia demagogue\n", "output": "cryptanalyst cycle demagogue extradite genie implement slovenia" }, "1157": { "input": "\nList: select gummy mindful flunky moral nnw tiffany\n", "output": "flunky gummy mindful moral nnw select tiffany" }, "1158": { "input": "\nList: diatribe staid convect assort dormitory grandstand compilation broth doesn't spiky drunk\n", "output": "assort broth compilation convect diatribe doesn't dormitory drunk grandstand spiky staid" }, "1159": { "input": "\nList: picnic exudate headline mcgrath pogrom obscene zeta crossbar meant rag vast\n", "output": "crossbar exudate headline mcgrath meant obscene picnic pogrom rag vast zeta" }, "1160": { "input": "\nList: ski coast wiener lavender curvaceous\n", "output": "coast curvaceous lavender ski wiener" }, "1161": { "input": "\nList: mccullough stork exxon fiend petal cadillac loot kerygma hyperthermia ejector hooch\n", "output": "cadillac ejector exxon fiend hooch hyperthermia kerygma loot mccullough petal stork" }, "1162": { "input": "\nList: awn eta triassic airfare pronounce intrude progressive sign huge culinary abstinent canoga reprieve i's bona\n", "output": "abstinent airfare awn bona canoga culinary eta huge i's intrude progressive pronounce reprieve sign triassic" }, "1163": { "input": "\nList: gu plan extol concertmaster wadsworth backpack gluttony speedy reductio deep\n", "output": "backpack concertmaster deep extol gluttony gu plan reductio speedy wadsworth" }, "1164": { "input": "\nList: sian nancy nucleant vivid longish martyr fluctuate juggle snobbery janice thomson rototill\n", "output": "fluctuate janice juggle longish martyr nancy nucleant rototill sian snobbery thomson vivid" }, "1165": { "input": "\nList: marathon prussia cowboy lithium proffer innkeeper lag song praseodymium cameramen caret\n", "output": "cameramen caret cowboy innkeeper lag lithium marathon praseodymium proffer prussia song" }, "1166": { "input": "\nList: ramrod penguin neoclassic mountebank homogeneous commodity board sylow\n", "output": "board commodity homogeneous mountebank neoclassic penguin ramrod sylow" }, "1167": { "input": "\nList: brink angelic varitype laity house jacky headphone silhouette hemispheric zoroaster trailblazing sloganeer optimal sixtyfold\n", "output": "angelic brink headphone hemispheric house jacky laity optimal silhouette sixtyfold sloganeer trailblazing varitype zoroaster" }, "1168": { "input": "\nList: mayflower titular sanitarium spay geochemistry slunk bitten impossible separate standard melanism hesitater nutmeg\n", "output": "bitten geochemistry hesitater impossible mayflower melanism nutmeg sanitarium separate slunk spay standard titular" }, "1169": { "input": "\nList: fiddle bestiary clink parlay fiddlehead tarpaulin boyle mahoney matrimonial keyes downtown concertmaster mandatory motto latter mathias tuttle\n", "output": "bestiary boyle clink concertmaster downtown fiddle fiddlehead keyes latter mahoney mandatory mathias matrimonial motto parlay tarpaulin tuttle" }, "1170": { "input": "\nList: viking fit preen electrician kristin bookbind curmudgeon heterodyne salon lancaster decisive r's seduce appreciate\n", "output": "appreciate bookbind curmudgeon decisive electrician fit heterodyne kristin lancaster preen r's salon seduce viking" }, "1171": { "input": "\nList: teak persuasive crazy un\n", "output": "crazy persuasive teak un" }, "1172": { "input": "\nList: sabine dumpy insect oblate skiff seaquake turin jug concubine goddess starch\n", "output": "concubine dumpy goddess insect jug oblate sabine seaquake skiff starch turin" }, "1173": { "input": "\nList: alumnus toddy bayberry noble\n", "output": "alumnus bayberry noble toddy" }, "1174": { "input": "\nList: insecticide micron bookkeep expansive difficulty lacustrine eurasia\n", "output": "bookkeep difficulty eurasia expansive insecticide lacustrine micron" }, "1175": { "input": "\nList: bolshevik nurture spool throwback velvety proton slippery intermit premiere intimacy therefrom mice melon\n", "output": "bolshevik intermit intimacy melon mice nurture premiere proton slippery spool therefrom throwback velvety" }, "1176": { "input": "\nList: coiffure dang digram antares dragoon escritoire joule proletariat acumen diaper sheehan\n", "output": "acumen antares coiffure dang diaper digram dragoon escritoire joule proletariat sheehan" }, "1177": { "input": "\nList: rift gerundive sole perfectible spasm yucca respirator cosy blaine fruehauf gnaw bucolic\n", "output": "blaine bucolic cosy fruehauf gerundive gnaw perfectible respirator rift sole spasm yucca" }, "1178": { "input": "\nList: capsize peritectic starfish oboist splotch\n", "output": "capsize oboist peritectic splotch starfish" }, "1179": { "input": "\nList: serve wittgenstein emissive explicable ahmedabad grebe\n", "output": "ahmedabad emissive explicable grebe serve wittgenstein" }, "1180": { "input": "\nList: sun start teahouse nestle askance textile cremate borroughs atonal viaduct\n", "output": "askance atonal borroughs cremate nestle start sun teahouse textile viaduct" }, "1181": { "input": "\nList: quartet cutlass barge intricacy\n", "output": "barge cutlass intricacy quartet" }, "1182": { "input": "\nList: sub taxied conway politic babysit\n", "output": "babysit conway politic sub taxied" }, "1183": { "input": "\nList: bradshaw mutton cbs opposite jukebox minor\n", "output": "bradshaw cbs jukebox minor mutton opposite" }, "1184": { "input": "\nList: tumultuous infuse legendre removal fledgling bernoulli numb fame canyon ultimate aberdeen conductor loam decode construct spiny converge\n", "output": "aberdeen bernoulli canyon conductor construct converge decode fame fledgling infuse legendre loam numb removal spiny tumultuous ultimate" }, "1185": { "input": "\nList: llama decimate playwriting baseball tenney drab hairdo rigid billiken eyesight truculent vasoconstriction\n", "output": "baseball billiken decimate drab eyesight hairdo llama playwriting rigid tenney truculent vasoconstriction" }, "1186": { "input": "\nList: cannery carryover tenneco animal muriel will stalin tabular glove\n", "output": "animal cannery carryover glove muriel stalin tabular tenneco will" }, "1187": { "input": "\nList: feces chrysalis robust setup caine\n", "output": "caine chrysalis feces robust setup" }, "1188": { "input": "\nList: clearwater sextillion sense culture militarism peritectic einsteinium sardonic bravo venal burrow scrotum toy\n", "output": "bravo burrow clearwater culture einsteinium militarism peritectic sardonic scrotum sense sextillion toy venal" }, "1189": { "input": "\nList: packet whalebone utrecht cavernous contralto leadeth sick gash handyman huber\n", "output": "cavernous contralto gash handyman huber leadeth packet sick utrecht whalebone" }, "1190": { "input": "\nList: iraq washboard abut doldrum id impeller verbiage candela cosmopolitan bladder sputter\n", "output": "abut bladder candela cosmopolitan doldrum id impeller iraq sputter verbiage washboard" }, "1191": { "input": "\nList: knob skat messieurs\n", "output": "knob messieurs skat" }, "1192": { "input": "\nList: sophocles moonlit insurmountable slay clay ashtray mythic ph barnet livingston u.s.a balzac workmen cosmos\n", "output": "ashtray balzac barnet clay cosmos insurmountable livingston moonlit mythic ph slay sophocles u.s.a workmen" }, "1193": { "input": "\nList: witness gash surrogate chancy affectate teheran consternate damocles quiver repel meteoritic divisible pickman eighteen murderous fishermen pragmatism chancery dispensable verbose\n", "output": "affectate chancery chancy consternate damocles dispensable divisible eighteen fishermen gash meteoritic murderous pickman pragmatism quiver repel surrogate teheran verbose witness" }, "1194": { "input": "\nList: concurred somewhere crescendo participant amanita this runneth magnum anvil citywide minnie agee bogota stone colt temptress teethe vainglorious mullion\n", "output": "agee amanita anvil bogota citywide colt concurred crescendo magnum minnie mullion participant runneth somewhere stone teethe temptress this vainglorious" }, "1195": { "input": "\nList: phagocyte flub\n", "output": "flub phagocyte" }, "1196": { "input": "\nList: dwell clank greatcoat margin harness reverberate ireland sadist luzon cur yule competitor crucifixion strengthen blueberry vacuum beside twine vito catskill\n", "output": "beside blueberry catskill clank competitor crucifixion cur dwell greatcoat harness ireland luzon margin reverberate sadist strengthen twine vacuum vito yule" }, "1197": { "input": "\nList: convalescent severalty gadwall skywave applaud\n", "output": "applaud convalescent gadwall severalty skywave" }, "1198": { "input": "\nList: dunlop mysterious militate prowess seamen passarine saline voluptuous medico yeoman simultaneity pakistan velvety rand brain tulip megahertz anyone\n", "output": "anyone brain dunlop medico megahertz militate mysterious pakistan passarine prowess rand saline seamen simultaneity tulip velvety voluptuous yeoman" }, "1199": { "input": "\nList: exclusive loire proliferate covetous reptilian residue keyword hypothalamus touchstone gross direct respectful hour isadore ashley rattail cheat scrawny\n", "output": "ashley cheat covetous direct exclusive gross hour hypothalamus isadore keyword loire proliferate rattail reptilian residue respectful scrawny touchstone" }, "1200": { "input": "\nList: hydrochloride plover warmth countersink gab seminary cecil tangible\n", "output": "cecil countersink gab hydrochloride plover seminary tangible warmth" }, "1201": { "input": "\nList: bobolink cogent bilharziasis burdock ransom travail rousseau diamagnetic broke addressograph repugnant stupefy lisp furtive fist immodesty bedfast\n", "output": "addressograph bedfast bilharziasis bobolink broke burdock cogent diamagnetic fist furtive immodesty lisp ransom repugnant rousseau stupefy travail" }, "1202": { "input": "\nList: decompile mermaid smolder mavis simian latvia aliquot cerium trepidation pathogenic error boot stochastic choosy fossiliferous carlin pang wrack damocles hollywood\n", "output": "aliquot boot carlin cerium choosy damocles decompile error fossiliferous hollywood latvia mavis mermaid pang pathogenic simian smolder stochastic trepidation wrack" }, "1203": { "input": "\nList: scarsdale kieffer asset feasible captor octogenarian doctorate zircon\n", "output": "asset captor doctorate feasible kieffer octogenarian scarsdale zircon" }, "1204": { "input": "\nList: wisp millionfold fob adventurous wheeze multics audible n cady midwife nbs comprehensible defect fur aquifer poplar palladia\n", "output": "adventurous aquifer audible cady comprehensible defect fob fur midwife millionfold multics n nbs palladia poplar wheeze wisp" }, "1205": { "input": "\nList: alabaster maximum sector pastoral demur brushwork brokerage governess anharmonic runoff pittston chitin\n", "output": "alabaster anharmonic brokerage brushwork chitin demur governess maximum pastoral pittston runoff sector" }, "1206": { "input": "\nList: grandchildren admission itchy reedbuck insecticide empty puritan\n", "output": "admission empty grandchildren insecticide itchy puritan reedbuck" }, "1207": { "input": "\nList: viper putrefy spill\n", "output": "putrefy spill viper" }, "1208": { "input": "\nList: convent gulf hilum saunders curvature\n", "output": "convent curvature gulf hilum saunders" }, "1209": { "input": "\nList: coconut commodious finicky offhand swipe injure archfool asphalt diamond danish jurisdiction\n", "output": "archfool asphalt coconut commodious danish diamond finicky injure jurisdiction offhand swipe" }, "1210": { "input": "\nList: concise avesta cartilage anxiety hercules intelligible sledge defend shawnee tim disburse perpetuity\n", "output": "anxiety avesta cartilage concise defend disburse hercules intelligible perpetuity shawnee sledge tim" }, "1211": { "input": "\nList: inshore christenson skippy rangeland downhill prompt paralytic persuasion dispel blackguard introduction optometry honoraria smoke seaworthy bespoke zone\n", "output": "bespoke blackguard christenson dispel downhill honoraria inshore introduction optometry paralytic persuasion prompt rangeland seaworthy skippy smoke zone" }, "1212": { "input": "\nList: vociferous inefficient screwworm create puppeteer bezel propane lappet protege gopher barbara\n", "output": "barbara bezel create gopher inefficient lappet propane protege puppeteer screwworm vociferous" }, "1213": { "input": "\nList: bmw intimater indecision axiom alabamian self crump hay interpol fiddlehead hydrocyanic inferior rustic bum tavern mugging\n", "output": "alabamian axiom bmw bum crump fiddlehead hay hydrocyanic indecision inferior interpol intimater mugging rustic self tavern" }, "1214": { "input": "\nList: drip pam walton sperry hyperbolic inopportune counterflow beet siltation strict korea\n", "output": "beet counterflow drip hyperbolic inopportune korea pam siltation sperry strict walton" }, "1215": { "input": "\nList: whizzing habitation ginseng retard mckeon swampy ligament gyrocompass\n", "output": "ginseng gyrocompass habitation ligament mckeon retard swampy whizzing" }, "1216": { "input": "\nList: nu opiate townsend taiwan tonsillitis burroughs cornwall exhort autosuggestible interrupt demystify mental acculturate faith siam nymph guenther period\n", "output": "acculturate autosuggestible burroughs cornwall demystify exhort faith guenther interrupt mental nu nymph opiate period siam taiwan tonsillitis townsend" }, "1217": { "input": "\nList: mustachio anyhow grapefruit mynheer canticle propensity catalogue buckhorn colby steady suzanne streptococcus trachea\n", "output": "anyhow buckhorn canticle catalogue colby grapefruit mustachio mynheer propensity steady streptococcus suzanne trachea" }, "1218": { "input": "\nList: davies seton charon benchmark waldorf standstill parasympathetic chevy sightsee steven andesite moreover biota purveyor bearish sweep\n", "output": "andesite bearish benchmark biota charon chevy davies moreover parasympathetic purveyor seton sightsee standstill steven sweep waldorf" }, "1219": { "input": "\nList: digest gemma erase ruminant twain chosen tech tumble blackball dorothy breathtaking jericho othello monotreme chest bing katz advise gopher\n", "output": "advise bing blackball breathtaking chest chosen digest dorothy erase gemma gopher jericho katz monotreme othello ruminant tech tumble twain" }, "1220": { "input": "\nList: obelisk amphibole aeneas entourage passe volstead cindy\n", "output": "aeneas amphibole cindy entourage obelisk passe volstead" }, "1221": { "input": "\nList: medusa doddering cluj fpc fluorine metalloid addle infestation\n", "output": "addle cluj doddering fluorine fpc infestation medusa metalloid" }, "1222": { "input": "\nList: stick gelatine\n", "output": "gelatine stick" }, "1223": { "input": "\nList: peafowl bolivar guru ellwood junctor pantheist goldberg canny kathy tinfoil madmen cud hay\n", "output": "bolivar canny cud ellwood goldberg guru hay junctor kathy madmen pantheist peafowl tinfoil" }, "1224": { "input": "\nList: s's aden devon hoy bellwether delimit excavate monkeyflower mailbox admonish\n", "output": "aden admonish bellwether delimit devon excavate hoy mailbox monkeyflower s's" }, "1225": { "input": "\nList: bentley scythia madonna quadrillion jewish succession frosty nitrate elevenfold xi valuate backstitch usual trig\n", "output": "backstitch bentley elevenfold frosty jewish madonna nitrate quadrillion scythia succession trig usual valuate xi" }, "1226": { "input": "\nList: pius autograph fantod hilum newton\n", "output": "autograph fantod hilum newton pius" }, "1227": { "input": "\nList: wisconsin joanne thickish steadfast figure prehensile hallucinogenic admittance convolute below bulletin corvallis knowhow involution fragrant crowberry poop\n", "output": "admittance below bulletin convolute corvallis crowberry figure fragrant hallucinogenic involution joanne knowhow poop prehensile steadfast thickish wisconsin" }, "1228": { "input": "\nList: symbol saud midstream checksummed dread phonic determinacy novak insightful warburton\n", "output": "checksummed determinacy dread insightful midstream novak phonic saud symbol warburton" }, "1229": { "input": "\nList: blatant nonce panic nightfall sou brainstorm bobble midget circumferential balboa hyperthermia extant sanskrit gratuity yachtsman malnourished coleridge\n", "output": "balboa blatant bobble brainstorm circumferential coleridge extant gratuity hyperthermia malnourished midget nightfall nonce panic sanskrit sou yachtsman" }, "1230": { "input": "\nList: rusty anionic insistent oscillate\n", "output": "anionic insistent oscillate rusty" }, "1231": { "input": "\nList: frighten metronome rockabye molybdate snowflake deputy confine utilitarian aliquot flippant principia erie lawgiver khaki collins spiegel\n", "output": "aliquot collins confine deputy erie flippant frighten khaki lawgiver metronome molybdate principia rockabye snowflake spiegel utilitarian" }, "1232": { "input": "\nList: sibyl cathy breeze gateway bloom togo donovan democrat\n", "output": "bloom breeze cathy democrat donovan gateway sibyl togo" }, "1233": { "input": "\nList: mixture oblong pentagonal vella stuttgart metallography consequent thin disquisition spiky virus comma earthy walcott wolverine shave lippincott nullstellensatz edible schafer\n", "output": "comma consequent disquisition earthy edible lippincott metallography mixture nullstellensatz oblong pentagonal schafer shave spiky stuttgart thin vella virus walcott wolverine" }, "1234": { "input": "\nList: penultimate hind quicksilver indefinite conclave chortle dominican punctilio\n", "output": "chortle conclave dominican hind indefinite penultimate punctilio quicksilver" }, "1235": { "input": "\nList: horehound republican removal translate ministry journeymen wingspan nose ginmill lansing\n", "output": "ginmill horehound journeymen lansing ministry nose removal republican translate wingspan" }, "1236": { "input": "\nList: droop forgave featherweight decrease tablespoonful agitate downy hansel\n", "output": "agitate decrease downy droop featherweight forgave hansel tablespoonful" }, "1237": { "input": "\nList: deconvolve look regulus support bulldoze skippy needle cusp treadle necromancy molybdate winery\n", "output": "bulldoze cusp deconvolve look molybdate necromancy needle regulus skippy support treadle winery" }, "1238": { "input": "\nList: stationarity quern tracery bleed lanka hertz orate hum\n", "output": "bleed hertz hum lanka orate quern stationarity tracery" }, "1239": { "input": "\nList: cathy combine layout bitch hit pyroxene nail secular play bogy babe fusillade masquerade euphorbia chronology nocturnal paw indochinese flexible maple\n", "output": "babe bitch bogy cathy chronology combine euphorbia flexible fusillade hit indochinese layout maple masquerade nail nocturnal paw play pyroxene secular" }, "1240": { "input": "\nList: tenure conspire eerie mignon kentucky penurious hermaphroditic franca abort health yoder joyous brother alum off\n", "output": "abort alum brother conspire eerie franca health hermaphroditic joyous kentucky mignon off penurious tenure yoder" }, "1241": { "input": "\nList: effaceable bankruptcy enmity visor aubrey stromberg petrel hypothalamic emission quixote apprentice jarvin bandage methacrylate\n", "output": "apprentice aubrey bandage bankruptcy effaceable emission enmity hypothalamic jarvin methacrylate petrel quixote stromberg visor" }, "1242": { "input": "\nList: crater smuggle fischer fate senorita izvestia monaco tremulous polyandry vicarious busload scaup biotic glacis soccer stonewort postulate launch\n", "output": "biotic busload crater fate fischer glacis izvestia launch monaco polyandry postulate scaup senorita smuggle soccer stonewort tremulous vicarious" }, "1243": { "input": "\nList: baseman sensual stir\n", "output": "baseman sensual stir" }, "1244": { "input": "\nList: momentary slapdash souvenir chipboard salesperson turntable homologous deliverymen believe amethyst\n", "output": "amethyst believe chipboard deliverymen homologous momentary salesperson slapdash souvenir turntable" }, "1245": { "input": "\nList: cramer adverbial mire regressive esther spooky fugue assail augment\n", "output": "adverbial assail augment cramer esther fugue mire regressive spooky" }, "1246": { "input": "\nList: uncouth snivel presbyterian cotta asynchrony almaden squatting glacis wahl militia keno dollop slim\n", "output": "almaden asynchrony cotta dollop glacis keno militia presbyterian slim snivel squatting uncouth wahl" }, "1247": { "input": "\nList: salton plenum optometrist concussion larynges whit climatology dodecahedron airstrip tid delightful clamp\n", "output": "airstrip clamp climatology concussion delightful dodecahedron larynges optometrist plenum salton tid whit" }, "1248": { "input": "\nList: natchez moonlit\n", "output": "moonlit natchez" }, "1249": { "input": "\nList: formatted scriptural month arsenate colony isotherm fortuitous lizzie bamako tetragonal masque electric sleety kidnapping sheer\n", "output": "arsenate bamako colony electric formatted fortuitous isotherm kidnapping lizzie masque month scriptural sheer sleety tetragonal" }, "1250": { "input": "\nList: broadway nitroglycerine roundtable english quod pistachio obstetrician mudhole macmahon offend rural starkey vulnerable housework monitory announce\n", "output": "announce broadway english housework macmahon monitory mudhole nitroglycerine obstetrician offend pistachio quod roundtable rural starkey vulnerable" }, "1251": { "input": "\nList: ortega cotty quipping aberrant bourgeois gaffe don\n", "output": "aberrant bourgeois cotty don gaffe ortega quipping" }, "1252": { "input": "\nList: duquesne miltonic infeasible slanderous gatekeeper java herodotus oceanography evelyn hallucinogen archfool mayfair luxury spearhead compile tale cotyledon\n", "output": "archfool compile cotyledon duquesne evelyn gatekeeper hallucinogen herodotus infeasible java luxury mayfair miltonic oceanography slanderous spearhead tale" }, "1253": { "input": "\nList: dartmouth curlicue increasable yogi compel forever breadboard perspicacity corvallis hearken stance risk legendre chorine nominee roberta freehand calabash game\n", "output": "breadboard calabash chorine compel corvallis curlicue dartmouth forever freehand game hearken increasable legendre nominee perspicacity risk roberta stance yogi" }, "1254": { "input": "\nList: blatant gladstone deformation factorial brunch potlatch galois decca rally humdrum invasive bore diffract split clearance\n", "output": "blatant bore brunch clearance decca deformation diffract factorial galois gladstone humdrum invasive potlatch rally split" }, "1255": { "input": "\nList: michaelangelo instar quartet schuylkill creosote weave trinket fuel freak finessing bijection skintight\n", "output": "bijection creosote finessing freak fuel instar michaelangelo quartet schuylkill skintight trinket weave" }, "1256": { "input": "\nList: pickman section indecomposable boathouse conclave able catfish pregnant shutout lilliputian steprelation ervin stylish dar\n", "output": "able boathouse catfish conclave dar ervin indecomposable lilliputian pickman pregnant section shutout steprelation stylish" }, "1257": { "input": "\nList: derate digress megalomaniac teeth typewritten each magnesium bituminous segment repartee\n", "output": "bituminous derate digress each magnesium megalomaniac repartee segment teeth typewritten" }, "1258": { "input": "\nList: indwell hypocrisy japan duluth postcondition too caraway shore tonight heritable meteor bolshevik schmitt huzzah jackanapes seaboard iodinate\n", "output": "bolshevik caraway duluth heritable huzzah hypocrisy indwell iodinate jackanapes japan meteor postcondition schmitt seaboard shore tonight too" }, "1259": { "input": "\nList: restitution sandy b's emulsify blush regression train devastate whelm\n", "output": "b's blush devastate emulsify regression restitution sandy train whelm" }, "1260": { "input": "\nList: puck prussic mauritius steeplebush theodosian calorimeter genii morrow crewcut knightsbridge\n", "output": "calorimeter crewcut genii knightsbridge mauritius morrow prussic puck steeplebush theodosian" }, "1261": { "input": "\nList: tertiary sardinia skin gorge\n", "output": "gorge sardinia skin tertiary" }, "1262": { "input": "\nList: glasgow ample\n", "output": "ample glasgow" }, "1263": { "input": "\nList: demountable leach brackish lift institute mitigate alacrity cardioid suffocate atomic tusk chamfer groundskeep\n", "output": "alacrity atomic brackish cardioid chamfer demountable groundskeep institute leach lift mitigate suffocate tusk" }, "1264": { "input": "\nList: table superannuate immeasurable angola marvin piracy macarthur occult impetus polymer weird promptitude travesty hip mint thicket legal marino\n", "output": "angola hip immeasurable impetus legal macarthur marino marvin mint occult piracy polymer promptitude superannuate table thicket travesty weird" }, "1265": { "input": "\nList: ravine handicraft secretive punctuate zloty drove earmark sentiment stall stairway forgetting doughnut november paraxial burlap est\n", "output": "burlap doughnut drove earmark est forgetting handicraft november paraxial punctuate ravine secretive sentiment stairway stall zloty" }, "1266": { "input": "\nList: quantitative desirous glove amarillo augment droll deacon wolfgang nucleant aphid k transcend indestructible mohammedan swig gosling\n", "output": "amarillo aphid augment deacon desirous droll glove gosling indestructible k mohammedan nucleant quantitative swig transcend wolfgang" }, "1267": { "input": "\nList: releasable coalesce\n", "output": "coalesce releasable" }, "1268": { "input": "\nList: embroidery cubicle tete absorptive intrusion etch imbecile aural\n", "output": "absorptive aural cubicle embroidery etch imbecile intrusion tete" }, "1269": { "input": "\nList: shift pulsar personify gigahertz hereof high crazy pathetic somerset quipping aladdin felon oftentimes teutonic bright perch carbondale\n", "output": "aladdin bright carbondale crazy felon gigahertz hereof high oftentimes pathetic perch personify pulsar quipping shift somerset teutonic" }, "1270": { "input": "\nList: leafy jock pacific diorite mow percival betatron beluga chimique oasis\n", "output": "beluga betatron chimique diorite jock leafy mow oasis pacific percival" }, "1271": { "input": "\nList: bard anthropomorphic tradesman drumlin masterpiece mueller momenta dichondra pasteup rho venous standish angry dynamo stodgy elba chirp limelight salvatore\n", "output": "angry anthropomorphic bard chirp dichondra drumlin dynamo elba limelight masterpiece momenta mueller pasteup rho salvatore standish stodgy tradesman venous" }, "1272": { "input": "\nList: posse chum spat bingle chancy sicilian palette plasmid reactant wei muskegon syllogistic backorder extractor transcription\n", "output": "backorder bingle chancy chum extractor muskegon palette plasmid posse reactant sicilian spat syllogistic transcription wei" }, "1273": { "input": "\nList: iconoclasm hairspring malay gravy tangle trustworthy retrofit\n", "output": "gravy hairspring iconoclasm malay retrofit tangle trustworthy" }, "1274": { "input": "\nList: englewood irreparable exterior dogtooth picnicking shagbark avocet fabian handline teal summitry foal varistor numeric fiftieth nerve detract proscribe indenture combinatorial\n", "output": "avocet combinatorial detract dogtooth englewood exterior fabian fiftieth foal handline indenture irreparable nerve numeric picnicking proscribe shagbark summitry teal varistor" }, "1275": { "input": "\nList: catholic musky sack piggish geodesic alter pathetic mcpherson lobby plethora k bellyaching satyr leper exogamous realtor hack\n", "output": "alter bellyaching catholic exogamous geodesic hack k leper lobby mcpherson musky pathetic piggish plethora realtor sack satyr" }, "1276": { "input": "\nList: joey lilliputian raccoon melcher necropsy blanket avernus waterfall\n", "output": "avernus blanket joey lilliputian melcher necropsy raccoon waterfall" }, "1277": { "input": "\nList: intricate scotland version debenture lye illogic sea veal bacon theseus\n", "output": "bacon debenture illogic intricate lye scotland sea theseus veal version" }, "1278": { "input": "\nList: mac lovelorn instruct library erickson\n", "output": "erickson instruct library lovelorn mac" }, "1279": { "input": "\nList: tribesman culvert airflow imbrue diplomacy olav stupor breakaway mach sigmund kappa flo em hothouse they've disembowel booby numerate\n", "output": "airflow booby breakaway culvert diplomacy disembowel em flo hothouse imbrue kappa mach numerate olav sigmund stupor they've tribesman" }, "1280": { "input": "\nList: agnes typology\n", "output": "agnes typology" }, "1281": { "input": "\nList: dad roger soothsayer nair plexiglas rudiment\n", "output": "dad nair plexiglas roger rudiment soothsayer" }, "1282": { "input": "\nList: circumcision tiny hero lager servo middlemen falmouth delegable azores compressible imbibe clitoris irma regimen crepe quetzal upstand impress exam acquisitive\n", "output": "acquisitive azores circumcision clitoris compressible crepe delegable exam falmouth hero imbibe impress irma lager middlemen quetzal regimen servo tiny upstand" }, "1283": { "input": "\nList: dehydrate basilica thrombosis lexicon sarcastic punjabi elm peephole\n", "output": "basilica dehydrate elm lexicon peephole punjabi sarcastic thrombosis" }, "1284": { "input": "\nList: fop circumference arcade waldron mountebank walkie oar hypocrisy placater\n", "output": "arcade circumference fop hypocrisy mountebank oar placater waldron walkie" }, "1285": { "input": "\nList: alb whomsoever geodetic tarzan buttock brainwash tortoiseshell wilma embodiment dolomite accipiter\n", "output": "accipiter alb brainwash buttock dolomite embodiment geodetic tarzan tortoiseshell whomsoever wilma" }, "1286": { "input": "\nList: babcock obstruent cataleptic articulate breve mabel\n", "output": "articulate babcock breve cataleptic mabel obstruent" }, "1287": { "input": "\nList: bloodshot sedan popish whimsey screwy prosody\n", "output": "bloodshot popish prosody screwy sedan whimsey" }, "1288": { "input": "\nList: tore toponym\n", "output": "toponym tore" }, "1289": { "input": "\nList: frenchmen bloom epithet procrustes tinker taylor labrador beset telex\n", "output": "beset bloom epithet frenchmen labrador procrustes taylor telex tinker" }, "1290": { "input": "\nList: type icosahedral sacrifice slog\n", "output": "icosahedral sacrifice slog type" }, "1291": { "input": "\nList: psychiatric savage apartheid picnicker silken long kyle plyscore forklift optic schuster tranquil intensify collide typhus cherub consistent experimentation gambia ablution\n", "output": "ablution apartheid cherub collide consistent experimentation forklift gambia intensify kyle long optic picnicker plyscore psychiatric savage schuster silken tranquil typhus" }, "1292": { "input": "\nList: patrick scapegoat d penman cadaver opposite centrifuge tarsier forgetful papacy car fullerton trig emancipate conspiracy twit elliott during sketchy\n", "output": "cadaver car centrifuge conspiracy d during elliott emancipate forgetful fullerton opposite papacy patrick penman scapegoat sketchy tarsier trig twit" }, "1293": { "input": "\nList: marzipan execution chock estrus operable hydride parade\n", "output": "chock estrus execution hydride marzipan operable parade" }, "1294": { "input": "\nList: groupoid honesty simplex contralto wv rap tam phipps erudite sold vest hardware agribusiness nickel tatty suzanne retrograde\n", "output": "agribusiness contralto erudite groupoid hardware honesty nickel phipps rap retrograde simplex sold suzanne tam tatty vest wv" }, "1295": { "input": "\nList: mimic transferee blossom operand orkney waterloo reflect absorb rothschild dialect\n", "output": "absorb blossom dialect mimic operand orkney reflect rothschild transferee waterloo" }, "1296": { "input": "\nList: ark ruminate handicap controlling upholstery illusionary otter tarpon\n", "output": "ark controlling handicap illusionary otter ruminate tarpon upholstery" }, "1297": { "input": "\nList: imprison mendelian architectonic pedagogy trojan\n", "output": "architectonic imprison mendelian pedagogy trojan" }, "1298": { "input": "\nList: chorale syndrome\n", "output": "chorale syndrome" }, "1299": { "input": "\nList: goggle confidant gresham discuss inconsiderate sunflower irritant soft titian redbud\n", "output": "confidant discuss goggle gresham inconsiderate irritant redbud soft sunflower titian" }, "1300": { "input": "\nList: rockford chorine sweatsocks mannequin rebellion\n", "output": "chorine mannequin rebellion rockford sweatsocks" }, "1301": { "input": "\nList: sure inertia top tabu mania\n", "output": "inertia mania sure tabu top" }, "1302": { "input": "\nList: killjoy dapple penthouse alberich tiger transpire suite ferric harken accordion downplay sphagnum josephson distributor asphalt hiram blip\n", "output": "accordion alberich asphalt blip dapple distributor downplay ferric harken hiram josephson killjoy penthouse sphagnum suite tiger transpire" }, "1303": { "input": "\nList: programmed gird canopy rheumatic pinehurst\n", "output": "canopy gird pinehurst programmed rheumatic" }, "1304": { "input": "\nList: lane trick perpetuity familial disquisition stagnate genital chinquapin sonic fusillade brownish guess caretaker neuron\n", "output": "brownish caretaker chinquapin disquisition familial fusillade genital guess lane neuron perpetuity sonic stagnate trick" }, "1305": { "input": "\nList: needle derek ronnie gambit paintbrush victor newtonian enchantress cysteine laughter latin inflorescent amp myra tv doorman sister\n", "output": "amp cysteine derek doorman enchantress gambit inflorescent latin laughter myra needle newtonian paintbrush ronnie sister tv victor" }, "1306": { "input": "\nList: sneaky heap razorback oncology plane adjectival mann keyword continual holly vanadium curvilinear teflon\n", "output": "adjectival continual curvilinear heap holly keyword mann oncology plane razorback sneaky teflon vanadium" }, "1307": { "input": "\nList: grip taxicab tattler ovary\n", "output": "grip ovary tattler taxicab" }, "1308": { "input": "\nList: shipbuild posit flocculate geopolitic transplant corroborate mycoplasma chow induct bough prosecutor hackmatack libertarian polysemous rubidium\n", "output": "bough chow corroborate flocculate geopolitic hackmatack induct libertarian mycoplasma polysemous posit prosecutor rubidium shipbuild transplant" }, "1309": { "input": "\nList: infeasible autumnal amiss chariot fine cesare phase myriad selenate electrocardiogram safety payoff habitual viviparous striate missionary ginmill\n", "output": "amiss autumnal cesare chariot electrocardiogram fine ginmill habitual infeasible missionary myriad payoff phase safety selenate striate viviparous" }, "1310": { "input": "\nList: handprint gusto enrollee shake chancellor peruvian tahiti toggle astm dome watermelon centrex sashay notebook peek codicil harvard blot silt\n", "output": "astm blot centrex chancellor codicil dome enrollee gusto handprint harvard notebook peek peruvian sashay shake silt tahiti toggle watermelon" }, "1311": { "input": "\nList: apache harangue demented boulder sarcoma bale\n", "output": "apache bale boulder demented harangue sarcoma" }, "1312": { "input": "\nList: cotangent atrocious diaper thereby norwich reluctant pelagic dovetail vertebral\n", "output": "atrocious cotangent diaper dovetail norwich pelagic reluctant thereby vertebral" }, "1313": { "input": "\nList: morphism heterogeneity clench shun utopian contumacy debauch notre beatific cog rack excursus pray inapproachable chert curtain fiberglas\n", "output": "beatific chert clench cog contumacy curtain debauch excursus fiberglas heterogeneity inapproachable morphism notre pray rack shun utopian" }, "1314": { "input": "\nList: cankerworm thorax codeposit cause ferry tuple wellington playroom pastoral\n", "output": "cankerworm cause codeposit ferry pastoral playroom thorax tuple wellington" }, "1315": { "input": "\nList: abramson rowboat grownup diversionary hillside misanthrope multinomial snippet\n", "output": "abramson diversionary grownup hillside misanthrope multinomial rowboat snippet" }, "1316": { "input": "\nList: hereinafter visual\n", "output": "hereinafter visual" }, "1317": { "input": "\nList: euphemist asocial quickie buckhorn\n", "output": "asocial buckhorn euphemist quickie" }, "1318": { "input": "\nList: rosemary nubile freud refutation hardscrabble exchangeable sum abate trilogy troop\n", "output": "abate exchangeable freud hardscrabble nubile refutation rosemary sum trilogy troop" }, "1319": { "input": "\nList: erlenmeyer verge alpha muskox pomegranate\n", "output": "alpha erlenmeyer muskox pomegranate verge" }, "1320": { "input": "\nList: elucidate roundoff mottle cage hanford ge that'd deborah cytosine mellow palm puddingstone convert\n", "output": "cage convert cytosine deborah elucidate ge hanford mellow mottle palm puddingstone roundoff that'd" }, "1321": { "input": "\nList: atheist immigrate riparian structure watermelon upholstery cloudy personnel isthmus multitudinous o'dwyer priestley fitzroy\n", "output": "atheist cloudy fitzroy immigrate isthmus multitudinous o'dwyer personnel priestley riparian structure upholstery watermelon" }, "1322": { "input": "\nList: sightsee simplicial\n", "output": "sightsee simplicial" }, "1323": { "input": "\nList: bellflower baghdad divisible grub teaspoon sybil sorrowful austenite gecko pee inadequate cabinetry bluish\n", "output": "austenite baghdad bellflower bluish cabinetry divisible gecko grub inadequate pee sorrowful sybil teaspoon" }, "1324": { "input": "\nList: conscience gunnery oslo jovial indict revisable befog mimicry sterling sexton accompaniment block egress bagpipe visceral eukaryotic keyboard buzzing\n", "output": "accompaniment bagpipe befog block buzzing conscience egress eukaryotic gunnery indict jovial keyboard mimicry oslo revisable sexton sterling visceral" }, "1325": { "input": "\nList: tape hackle domineer nozzle asynchronous frambesia rembrandt trimer letitia spurge eastman puppyish specular flinty redolent butte foxtail splat\n", "output": "asynchronous butte domineer eastman flinty foxtail frambesia hackle letitia nozzle puppyish redolent rembrandt specular splat spurge tape trimer" }, "1326": { "input": "\nList: knot immutable may tempt drayman kinetic infelicity watson polaris affect speedup cortical adair indirect nightgown mollycoddle\n", "output": "adair affect cortical drayman immutable indirect infelicity kinetic knot may mollycoddle nightgown polaris speedup tempt watson" }, "1327": { "input": "\nList: nairobi countryside clot howsomever sloop frizzle act smolder scope attendee episcopal propeller nikko\n", "output": "act attendee clot countryside episcopal frizzle howsomever nairobi nikko propeller scope sloop smolder" }, "1328": { "input": "\nList: bloodhound swank paragraph secular ominous dis adieu parenthetic greece cream\n", "output": "adieu bloodhound cream dis greece ominous paragraph parenthetic secular swank" }, "1329": { "input": "\nList: fissile poach lydia sirius invade spree nymphomaniac margarine norwegian slink bunk wreak libya\n", "output": "bunk fissile invade libya lydia margarine norwegian nymphomaniac poach sirius slink spree wreak" }, "1330": { "input": "\nList: flatbed norfolk barbaric chief alpine hamilton montana beyond alfonso bayonet boycott\n", "output": "alfonso alpine barbaric bayonet beyond boycott chief flatbed hamilton montana norfolk" }, "1331": { "input": "\nList: toy footnote hess confusion reimburse sophocles grecian\n", "output": "confusion footnote grecian hess reimburse sophocles toy" }, "1332": { "input": "\nList: jockstrap waterhouse harangue tsar loquacity lawson befogging argentina sandra domestic pug provocateur parolee housebroken eighty\n", "output": "argentina befogging domestic eighty harangue housebroken jockstrap lawson loquacity parolee provocateur pug sandra tsar waterhouse" }, "1333": { "input": "\nList: mature asleep fade kane duty bail migrant binge\n", "output": "asleep bail binge duty fade kane mature migrant" }, "1334": { "input": "\nList: mermaid dunham\n", "output": "dunham mermaid" }, "1335": { "input": "\nList: granola posh\n", "output": "granola posh" }, "1336": { "input": "\nList: propriety gascony edmonds pronounceable dogtrot floorboard aloud when adieu pandora derek conrail awful shulman chevron contumacy internal\n", "output": "adieu aloud awful chevron conrail contumacy derek dogtrot edmonds floorboard gascony internal pandora pronounceable propriety shulman when" }, "1337": { "input": "\nList: viburnum hieronymus allure cleric exhumation nrc geophysics exonerate mettlesome visual wolve tracy circadian mcintyre\n", "output": "allure circadian cleric exhumation exonerate geophysics hieronymus mcintyre mettlesome nrc tracy viburnum visual wolve" }, "1338": { "input": "\nList: orchis photon massage budgetary jargon bay markovian walton pie lullaby seedy elephantine colosseum miaow transpire mandate armonk chemisorb exposure grosset\n", "output": "armonk bay budgetary chemisorb colosseum elephantine exposure grosset jargon lullaby mandate markovian massage miaow orchis photon pie seedy transpire walton" }, "1339": { "input": "\nList: unipolar stratum mullah\n", "output": "mullah stratum unipolar" }, "1340": { "input": "\nList: highlight drugging peripatetic porcine spermatophyte dusk malcolm idiomatic hydrosphere charity they'd covetous dirge cupful paoli bowmen soothsay alchemist fragment\n", "output": "alchemist bowmen charity covetous cupful dirge drugging dusk fragment highlight hydrosphere idiomatic malcolm paoli peripatetic porcine soothsay spermatophyte they'd" }, "1341": { "input": "\nList: horticulture osborne correspond fracture medallion inhomogeneous timeshare rickettsia flashlight carlsbad bilge leery\n", "output": "bilge carlsbad correspond flashlight fracture horticulture inhomogeneous leery medallion osborne rickettsia timeshare" }, "1342": { "input": "\nList: auxin nicodemus eloise aventine auburn icc boo\n", "output": "auburn auxin aventine boo eloise icc nicodemus" }, "1343": { "input": "\nList: stutter inebriate melody dangle jack biometry capetown lemur tapeworm landfill pervert doneck nabisco tribute\n", "output": "biometry capetown dangle doneck inebriate jack landfill lemur melody nabisco pervert stutter tapeworm tribute" }, "1344": { "input": "\nList: deoxyribonucleic gibby tempera demarcate fluoride microcosm algal erosion embedder bent inbred tritium shirley telephotography glassware crux\n", "output": "algal bent crux demarcate deoxyribonucleic embedder erosion fluoride gibby glassware inbred microcosm shirley telephotography tempera tritium" }, "1345": { "input": "\nList: ungulate millie assai curry loire pushy\n", "output": "assai curry loire millie pushy ungulate" }, "1346": { "input": "\nList: audible decimate schmitt bahama verbose matrices sportswriting lucerne upriver\n", "output": "audible bahama decimate lucerne matrices schmitt sportswriting upriver verbose" }, "1347": { "input": "\nList: zither garcia riffle predacious george piotr\n", "output": "garcia george piotr predacious riffle zither" }, "1348": { "input": "\nList: aim wacke ceremony attention forgave culprit backslash nephew immerse hereunto taiwan transformation snafu bedimmed\n", "output": "aim attention backslash bedimmed ceremony culprit forgave hereunto immerse nephew snafu taiwan transformation wacke" }, "1349": { "input": "\nList: wrongdoer heterozygous section iceman impetuous trafficked nostradamus\n", "output": "heterozygous iceman impetuous nostradamus section trafficked wrongdoer" }, "1350": { "input": "\nList: loamy revel spangle resistant systemic dalhousie bryn\n", "output": "bryn dalhousie loamy resistant revel spangle systemic" }, "1351": { "input": "\nList: kitten normative scan depression cider wadi betelgeuse tail redneck have hugh widen mannitol decant being bellyache daunt euripides raoul tunnel\n", "output": "being bellyache betelgeuse cider daunt decant depression euripides have hugh kitten mannitol normative raoul redneck scan tail tunnel wadi widen" }, "1352": { "input": "\nList: altruism sian hecatomb mobcap interstice ia y's yaw duel chartres augur onion barth cabinetry precocity battelle doria jan milton\n", "output": "altruism augur barth battelle cabinetry chartres doria duel hecatomb ia interstice jan milton mobcap onion precocity sian y's yaw" }, "1353": { "input": "\nList: nimbus rig lethe radon\n", "output": "lethe nimbus radon rig" }, "1354": { "input": "\nList: squashberry forsake rhenish grandiose\n", "output": "forsake grandiose rhenish squashberry" }, "1355": { "input": "\nList: carbide vendible multiple pallid swallowtail perjury expurgate sword miguel milton bridgewater gibbon batavia hades cdc moe hollow gustafson arithmetic lone\n", "output": "arithmetic batavia bridgewater carbide cdc expurgate gibbon gustafson hades hollow lone miguel milton moe multiple pallid perjury swallowtail sword vendible" }, "1356": { "input": "\nList: mattson begat skyway mental\n", "output": "begat mattson mental skyway" }, "1357": { "input": "\nList: posse phyllis bewitch hogan\n", "output": "bewitch hogan phyllis posse" }, "1358": { "input": "\nList: batavia lawgiving civic slovakia incommensurate venial airdrop phagocyte elves buddha earphone spatterdock markham spontaneity brandeis\n", "output": "airdrop batavia brandeis buddha civic earphone elves incommensurate lawgiving markham phagocyte slovakia spatterdock spontaneity venial" }, "1359": { "input": "\nList: academic xenon archfool turmeric aile bleary abscond lawsuit\n", "output": "abscond academic aile archfool bleary lawsuit turmeric xenon" }, "1360": { "input": "\nList: integer inlet yorktown switchgear debilitate rome isentropic hernia algaecide decathlon sheer neptune knowlton barbell prague\n", "output": "algaecide barbell debilitate decathlon hernia inlet integer isentropic knowlton neptune prague rome sheer switchgear yorktown" }, "1361": { "input": "\nList: ineligible baccalaureate\n", "output": "baccalaureate ineligible" }, "1362": { "input": "\nList: spot bah telemeter madonna fogarty somewhat rakish tackle phenyl proteolysis residential motif hippy challenge eruption dogwood racketeer ingram vocal\n", "output": "bah challenge dogwood eruption fogarty hippy ingram madonna motif phenyl proteolysis racketeer rakish residential somewhat spot tackle telemeter vocal" }, "1363": { "input": "\nList: y harpy pant genevieve lewd headwind mealtime bodleian bimodal oscar maltreat opel dramaturgy chrysanthemum isle\n", "output": "bimodal bodleian chrysanthemum dramaturgy genevieve harpy headwind isle lewd maltreat mealtime opel oscar pant y" }, "1364": { "input": "\nList: thessaly allocate ulcer harris elate swahili zip reminiscent ballard casbah needful cutlass fungible mathewson\n", "output": "allocate ballard casbah cutlass elate fungible harris mathewson needful reminiscent swahili thessaly ulcer zip" }, "1365": { "input": "\nList: florist ivory constant chair breeze proper monetary winifred\n", "output": "breeze chair constant florist ivory monetary proper winifred" }, "1366": { "input": "\nList: slit fiefdom algal firework dixie picayune polariscope postmark kalmuk bootlegger transact toy cyclone breastplate septillion feed\n", "output": "algal bootlegger breastplate cyclone dixie feed fiefdom firework kalmuk picayune polariscope postmark septillion slit toy transact" }, "1367": { "input": "\nList: fascicle puny xenon ingersoll synonym declamatory broad diagnosis gridlock perusal both monash daugherty\n", "output": "both broad daugherty declamatory diagnosis fascicle gridlock ingersoll monash perusal puny synonym xenon" }, "1368": { "input": "\nList: provence dolan bootstrapping jimmy forget conscious snore captivate tooth adipic flee lilian greenbriar chili stanley hosiery laze our monkish\n", "output": "adipic bootstrapping captivate chili conscious dolan flee forget greenbriar hosiery jimmy laze lilian monkish our provence snore stanley tooth" }, "1369": { "input": "\nList: downpour whitish cultural ansi dwell chairperson brushstroke\n", "output": "ansi brushstroke chairperson cultural downpour dwell whitish" }, "1370": { "input": "\nList: meredith pillow tee plebian adsorption herewith rheumatic nevada apex\n", "output": "adsorption apex herewith meredith nevada pillow plebian rheumatic tee" }, "1371": { "input": "\nList: pseudo univariate smoke cascara falkland fluoresce potts\n", "output": "cascara falkland fluoresce potts pseudo smoke univariate" }, "1372": { "input": "\nList: impair magnify unify carolyn receptor ethanol toilsome appendage introduction tamarisk spectacle chameleon concession astound croupier postdoctoral headache\n", "output": "appendage astound carolyn chameleon concession croupier ethanol headache impair introduction magnify postdoctoral receptor spectacle tamarisk toilsome unify" }, "1373": { "input": "\nList: attic lucifer ir rivalry magruder estop demultiplex tenney weatherbeaten\n", "output": "attic demultiplex estop ir lucifer magruder rivalry tenney weatherbeaten" }, "1374": { "input": "\nList: stutter fleet continent petiole revisal manatee quotation pentagonal ago straw collet antigen manchester indigestion quizzes garden\n", "output": "ago antigen collet continent fleet garden indigestion manatee manchester pentagonal petiole quizzes quotation revisal straw stutter" }, "1375": { "input": "\nList: biracial wring cecil hitherto spokesman lag stub ronald gourd renault spirogyra clitoris\n", "output": "biracial cecil clitoris gourd hitherto lag renault ronald spirogyra spokesman stub wring" }, "1376": { "input": "\nList: frederick horsemen shelley phonetic serpent verbal\n", "output": "frederick horsemen phonetic serpent shelley verbal" }, "1377": { "input": "\nList: collagen lurid piecemeal glutton niacin burdock glow armageddon trample persephone bachelor wand marshmallow\n", "output": "armageddon bachelor burdock collagen glow glutton lurid marshmallow niacin persephone piecemeal trample wand" }, "1378": { "input": "\nList: davenport beaumont delirium\n", "output": "beaumont davenport delirium" }, "1379": { "input": "\nList: primitive canon miltonic luncheon\n", "output": "canon luncheon miltonic primitive" }, "1380": { "input": "\nList: sudan colt bodyguard incant bolshevist phagocyte suspend coalesce stinkbug sidewise bien thoroughfare palace\n", "output": "bien bodyguard bolshevist coalesce colt incant palace phagocyte sidewise stinkbug sudan suspend thoroughfare" }, "1381": { "input": "\nList: radioastronomy yeoman bhoy finny lachrymose anthropomorphism purple handy upton infimum extirpate composure decorate helmsmen\n", "output": "anthropomorphism bhoy composure decorate extirpate finny handy helmsmen infimum lachrymose purple radioastronomy upton yeoman" }, "1382": { "input": "\nList: pradesh maestro indecision footstool capital oedipal hereinbelow knowledge sushi pensive electrocardiograph\n", "output": "capital electrocardiograph footstool hereinbelow indecision knowledge maestro oedipal pensive pradesh sushi" }, "1383": { "input": "\nList: deface clamp\n", "output": "clamp deface" }, "1384": { "input": "\nList: grammatic standard secure\n", "output": "grammatic secure standard" }, "1385": { "input": "\nList: penis chestnut mimicked coy etruscan bimolecular sourberry platinum daytime holyoke nawab alumnus snowbank zircon alum planeload intimacy\n", "output": "alum alumnus bimolecular chestnut coy daytime etruscan holyoke intimacy mimicked nawab penis planeload platinum snowbank sourberry zircon" }, "1386": { "input": "\nList: workstation sniff capacity epitome makeup scripture frankfurt shaman coral culpa oriental\n", "output": "capacity coral culpa epitome frankfurt makeup oriental scripture shaman sniff workstation" }, "1387": { "input": "\nList: octane humus guernsey scrappy comestible dashboard mice cattlemen\n", "output": "cattlemen comestible dashboard guernsey humus mice octane scrappy" }, "1388": { "input": "\nList: perfusion makeup epiphany cesium indecipherable cushman absentee cinder homogeneity truculent express estrous copernican shorten penchant\n", "output": "absentee cesium cinder copernican cushman epiphany estrous express homogeneity indecipherable makeup penchant perfusion shorten truculent" }, "1389": { "input": "\nList: quarrymen incompressible anselmo tobacco\n", "output": "anselmo incompressible quarrymen tobacco" }, "1390": { "input": "\nList: fodder herpes bujumbura pomade aqueous embroidery nine thermophilic alley erasable koppers interruption edt signpost lobelia font shipley homogeneous quite\n", "output": "alley aqueous bujumbura edt embroidery erasable fodder font herpes homogeneous interruption koppers lobelia nine pomade quite shipley signpost thermophilic" }, "1391": { "input": "\nList: jessie gyrate kernighan lifeguard pursuant lumber tenderloin prairie aroma execrate tool hindustan malpractice pica commend cylindric son circe thorstein\n", "output": "aroma circe commend cylindric execrate gyrate hindustan jessie kernighan lifeguard lumber malpractice pica prairie pursuant son tenderloin thorstein tool" }, "1392": { "input": "\nList: decontrolling deplore annette stymie deluge infect\n", "output": "annette decontrolling deluge deplore infect stymie" }, "1393": { "input": "\nList: cornerstone incoherent idolatry debase hayden oatcake flashlight eukaryotic\n", "output": "cornerstone debase eukaryotic flashlight hayden idolatry incoherent oatcake" }, "1394": { "input": "\nList: schroeder cheerful sagacious turquoise chlorine murder joust cancelling catharsis insufferable veto blare fishpond lemma chaos ionic advert cossack wahl ama\n", "output": "advert ama blare cancelling catharsis chaos cheerful chlorine cossack fishpond insufferable ionic joust lemma murder sagacious schroeder turquoise veto wahl" }, "1395": { "input": "\nList: janitorial faro polaron postal hallelujah matrix mediate stonewall motorcycle wail orphanage cuzco spar use trafficker\n", "output": "cuzco faro hallelujah janitorial matrix mediate motorcycle orphanage polaron postal spar stonewall trafficker use wail" }, "1396": { "input": "\nList: menfolk aniline weren't haney pedal mohawk\n", "output": "aniline haney menfolk mohawk pedal weren't" }, "1397": { "input": "\nList: passive host gladys concentrate chantilly otherworld synonymy\n", "output": "chantilly concentrate gladys host otherworld passive synonymy" }, "1398": { "input": "\nList: pomp listen animism sloven duel jobholder safekeeping therefrom\n", "output": "animism duel jobholder listen pomp safekeeping sloven therefrom" }, "1399": { "input": "\nList: jealousy exoskeleton convulsive backyard sawfly kiwi impetuous pound gunky benign cabbage smythe\n", "output": "backyard benign cabbage convulsive exoskeleton gunky impetuous jealousy kiwi pound sawfly smythe" }, "1400": { "input": "\nList: geriatric cameraman crackpot accessible subpoena vote parameter abscissa frivolity samuelson candlestick melodious paid\n", "output": "abscissa accessible cameraman candlestick crackpot frivolity geriatric melodious paid parameter samuelson subpoena vote" }, "1401": { "input": "\nList: sanctimonious excommunicate aqueduct sharecrop deprive form snakeroot marketeer a's fritter caliphate ductile lattice spectroscopy soapsud spout temper icosahedral eutectic\n", "output": "a's aqueduct caliphate deprive ductile eutectic excommunicate form fritter icosahedral lattice marketeer sanctimonious sharecrop snakeroot soapsud spectroscopy spout temper" }, "1402": { "input": "\nList: piccolo aldehyde saratoga corporeal chautauqua cicero omnivore swore garbage politic tachinid holdup willis estop acquisitive\n", "output": "acquisitive aldehyde chautauqua cicero corporeal estop garbage holdup omnivore piccolo politic saratoga swore tachinid willis" }, "1403": { "input": "\nList: youthful orca sensual leer blackburn tether cdc envy gong aphid\n", "output": "aphid blackburn cdc envy gong leer orca sensual tether youthful" }, "1404": { "input": "\nList: embryo tootle cull\n", "output": "cull embryo tootle" }, "1405": { "input": "\nList: goodwin dervish megohm principal consignor electrocardiograph furthest dreadnought least poison clothbound egotism deterrent ablate\n", "output": "ablate clothbound consignor dervish deterrent dreadnought egotism electrocardiograph furthest goodwin least megohm poison principal" }, "1406": { "input": "\nList: puree trigram\n", "output": "puree trigram" }, "1407": { "input": "\nList: briggs harlan possessor desuetude fluoride rodeo twinge gleason majesty ares parrot connecticut criss indorse\n", "output": "ares briggs connecticut criss desuetude fluoride gleason harlan indorse majesty parrot possessor rodeo twinge" }, "1408": { "input": "\nList: sparta rapprochement duct avocado molybdenum paterson grace nitrate aerial algiers calhoun nefarious checksum\n", "output": "aerial algiers avocado calhoun checksum duct grace molybdenum nefarious nitrate paterson rapprochement sparta" }, "1409": { "input": "\nList: abalone cannabis knudson implantation bumpkin naples entranceway\n", "output": "abalone bumpkin cannabis entranceway implantation knudson naples" }, "1410": { "input": "\nList: subsist sensual lie freedom ethnology emanuel emphysema reformatory bad july sputnik schoolmaster inlaid\n", "output": "bad emanuel emphysema ethnology freedom inlaid july lie reformatory schoolmaster sensual sputnik subsist" }, "1411": { "input": "\nList: flashy han whippany amanuensis\n", "output": "amanuensis flashy han whippany" }, "1412": { "input": "\nList: rakish catwalk perversion startle woodcock income irreclaimable hereinafter sniff artifice\n", "output": "artifice catwalk hereinafter income irreclaimable perversion rakish sniff startle woodcock" }, "1413": { "input": "\nList: mayflower occupy scuttle shrug suffolk aqueous\n", "output": "aqueous mayflower occupy scuttle shrug suffolk" }, "1414": { "input": "\nList: mightn't heard incentive iconography lamarck hendrickson bleary aida aesthetic skate murphy marcia joyful debit luminary\n", "output": "aesthetic aida bleary debit heard hendrickson iconography incentive joyful lamarck luminary marcia mightn't murphy skate" }, "1415": { "input": "\nList: deride mailmen freak\n", "output": "deride freak mailmen" }, "1416": { "input": "\nList: sprawl cam innermost implant hodgepodge pleiades passageway quotation group foliage lepidolite citroen nate impetus\n", "output": "cam citroen foliage group hodgepodge impetus implant innermost lepidolite nate passageway pleiades quotation sprawl" }, "1417": { "input": "\nList: sickbed lepidopterist lighten\n", "output": "lepidopterist lighten sickbed" }, "1418": { "input": "\nList: fete leprosy fiddlehead\n", "output": "fete fiddlehead leprosy" }, "1419": { "input": "\nList: butterfat carboxy milord illogic hummingbird voice confucian switzerland taxpayer secular real revere\n", "output": "butterfat carboxy confucian hummingbird illogic milord real revere secular switzerland taxpayer voice" }, "1420": { "input": "\nList: bicker instruct amarillo\n", "output": "amarillo bicker instruct" } } } ================================================ FILE: InstructZero/experiments/data/instruction_induction/raw/induce/word_unscrambling.json ================================================ { "metadata": { "num_examples": 7034 }, "examples": { "1": { "input": "ilpf", "output": "flip" }, "2": { "input": "saier", "output": "raise" }, "3": { "input": "ldiphealaphi", "output": "philadelphia" }, "4": { "input": "acn", "output": "can" }, "5": { "input": "hatefr", "output": "father" }, "6": { "input": "tcuea", "output": "acute" }, "7": { "input": "eaksc", "output": "cakes" }, "8": { "input": "vinigodpr", "output": "providing" }, "9": { "input": "insssebu", "output": "business" }, "10": { "input": "tinscoau", "output": "auctions" }, "11": { "input": "eimrt", "output": "timer" }, "12": { "input": "satown", "output": "watson" }, "13": { "input": "euyrbs", "output": "buyers" }, "14": { "input": "isknag", "output": "asking" }, "15": { "input": "urlstana", "output": "naturals" }, "16": { "input": "elpevoen", "output": "envelope" }, "17": { "input": "ocatmrde", "output": "democrat" }, "18": { "input": "kinsl", "output": "links" }, "19": { "input": "olwg", "output": "glow" }, "20": { "input": "momc", "output": "comm" }, "21": { "input": "issossnepo", "output": "possession" }, "22": { "input": "rhoes", "output": "horse" }, "23": { "input": "seam", "output": "same" }, "24": { "input": "neretedath", "output": "threatened" }, "25": { "input": "pnsorso", "output": "sponsor" }, "26": { "input": "itngmili", "output": "limiting" }, "27": { "input": "kmaenossp", "output": "spokesman" }, "28": { "input": "iprla", "output": "april" }, "29": { "input": "icsnpleidis", "output": "disciplines" }, "30": { "input": "eoznd", "output": "dozen" }, "31": { "input": "sahh", "output": "hash" }, "32": { "input": "raronw", "output": "narrow" }, "33": { "input": "mroppt", "output": "prompt" }, "34": { "input": "aomnr", "output": "roman" }, "35": { "input": "cackkajbl", "output": "blackjack" }, "36": { "input": "nttyaiqu", "output": "quantity" }, "37": { "input": "enaeetg", "output": "teenage" }, "38": { "input": "oolrcs", "output": "colors" }, "39": { "input": "sial", "output": "lisa" }, "40": { "input": "lduta", "output": "adult" }, "41": { "input": "lilsh", "output": "hills" }, "42": { "input": "eoxdb", "output": "boxed" }, "43": { "input": "oecntispex", "output": "exceptions" }, "44": { "input": "gueh", "output": "huge" }, "45": { "input": "sisk", "output": "kiss" }, "46": { "input": "vroepn", "output": "proven" }, "47": { "input": "sontseiqu", "output": "questions" }, "48": { "input": "taaiocsnstrn", "output": "transactions" }, "49": { "input": "dorsw", "output": "words" }, "50": { "input": "braltaeich", "output": "charitable" }, "51": { "input": "cleednlca", "output": "cancelled" }, "52": { "input": "legldae", "output": "alleged" }, "53": { "input": "ialcsfiof", "output": "officials" }, "54": { "input": "iwedtms", "output": "midwest" }, "55": { "input": "munosat", "output": "amounts" }, "56": { "input": "nurst", "output": "turns" }, "57": { "input": "ostalca", "output": "coastal" }, "58": { "input": "kaireun", "output": "ukraine" }, "59": { "input": "ehilsd", "output": "shield" }, "60": { "input": "luer", "output": "rule" }, "61": { "input": "ttauss", "output": "status" }, "62": { "input": "alictlme", "output": "metallic" }, "63": { "input": "dnnesomcaomiret", "output": "recommendations" }, "64": { "input": "sith", "output": "this" }, "65": { "input": "mcseairldis", "output": "disclaimers" }, "66": { "input": "oobdny", "output": "nobody" }, "67": { "input": "nthorae", "output": "another" }, "68": { "input": "uinrgtnre", "output": "returning" }, "69": { "input": "nlaep", "output": "panel" }, "70": { "input": "cukl", "output": "luck" }, "71": { "input": "alelygr", "output": "gallery" }, "72": { "input": "gast", "output": "tags" }, "73": { "input": "rorys", "output": "sorry" }, "74": { "input": "reritoecdis", "output": "directories" }, "75": { "input": "letf", "output": "left" }, "76": { "input": "tlbicaoipun", "output": "publication" }, "77": { "input": "tnnesospareiret", "output": "representations" }, "78": { "input": "vaes", "output": "save" }, "79": { "input": "ietspreren", "output": "enterprise" }, "80": { "input": "tloss", "output": "slots" }, "81": { "input": "rebedfs", "output": "freebsd" }, "82": { "input": "alilgcn", "output": "calling" }, "83": { "input": "digsnnfi", "output": "findings" }, "84": { "input": "achtswe", "output": "watches" }, "85": { "input": "rueyq", "output": "query" }, "86": { "input": "rsuewaseho", "output": "housewares" }, "87": { "input": "einegrnsc", "output": "screening" }, "88": { "input": "lneluaytev", "output": "eventually" }, "89": { "input": "iirnwg", "output": "wiring" }, "90": { "input": "aodr", "output": "road" }, "91": { "input": "oduntcc", "output": "conduct" }, "92": { "input": "wnyaay", "output": "anyway" }, "93": { "input": "usirgnn", "output": "nursing" }, "94": { "input": "coestmou", "output": "outcomes" }, "95": { "input": "iqestuan", "output": "antiques" }, "96": { "input": "leceonvi", "output": "violence" }, "97": { "input": "tansp", "output": "pants" }, "98": { "input": "efurepm", "output": "perfume" }, "99": { "input": "tacesnin", "output": "instance" }, "100": { "input": "peedpnha", "output": "happened" }, "101": { "input": "ilonmtha", "output": "hamilton" }, "102": { "input": "aerf", "output": "fear" }, "103": { "input": "aelxr", "output": "relax" }, "104": { "input": "ckngaitr", "output": "tracking" }, "105": { "input": "bhpbp", "output": "phpbb" }, "106": { "input": "inapcrtstrs", "output": "transcripts" }, "107": { "input": "aiedtnre", "output": "retained" }, "108": { "input": "erispt", "output": "priest" }, "109": { "input": "tmminieucos", "output": "communities" }, "110": { "input": "oerntiscdi", "output": "directions" }, "111": { "input": "isnnrattco", "output": "constraint" }, "112": { "input": "agophrrtophe", "output": "photographer" }, "113": { "input": "pcieysf", "output": "specify" }, "114": { "input": "onynae", "output": "anyone" }, "115": { "input": "iigtd", "output": "digit" }, "116": { "input": "bdgremica", "output": "cambridge" }, "117": { "input": "oecrtcrin", "output": "incorrect" }, "118": { "input": "emntseba", "output": "basement" }, "119": { "input": "iugoatnlre", "output": "regulation" }, "120": { "input": "ulerodsh", "output": "shoulder" }, "121": { "input": "kien", "output": "nike" }, "122": { "input": "uropgs", "output": "groups" }, "123": { "input": "ngadua", "output": "uganda" }, "124": { "input": "ratopl", "output": "portal" }, "125": { "input": "iceslipo", "output": "policies" }, "126": { "input": "acns", "output": "scan" }, "127": { "input": "tvaaar", "output": "avatar" }, "128": { "input": "oulprpa", "output": "popular" }, "129": { "input": "tarimn", "output": "martin" }, "130": { "input": "xstidee", "output": "existed" }, "131": { "input": "aepirr", "output": "repair" }, "132": { "input": "urcycaac", "output": "accuracy" }, "133": { "input": "aldg", "output": "glad" }, "134": { "input": "eitgytrin", "output": "integrity" }, "135": { "input": "onnusuyticol", "output": "continuously" }, "136": { "input": "zittnroahoaui", "output": "authorization" }, "137": { "input": "asiigrn", "output": "raising" }, "138": { "input": 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{ "input": "eiescvre", "output": "receives" }, "216": { "input": "raesitem", "output": "emirates" }, "217": { "input": "iitsrvo", "output": "visitor" }, "218": { "input": "oomd", "output": "mood" }, "219": { "input": "tsriecvppee", "output": "perspective" }, "220": { "input": "nigesd", "output": "design" }, "221": { "input": "ginatas", "output": "against" }, "222": { "input": "egread", "output": "agreed" }, "223": { "input": "cupalinbres", "output": "republicans" }, "224": { "input": "nsigu", "output": "using" }, "225": { "input": "lpeprlawa", "output": "wallpaper" }, "226": { "input": "nasd", "output": "sand" }, "227": { "input": "rvailtere", "output": "retrieval" }, "228": { "input": "tasep", "output": "tapes" }, "229": { "input": "esotmpga", "output": "gamespot" }, "230": { "input": "trctsaab", "output": "abstract" }, "231": { "input": "alstilntaino", "output": "installation" }, "232": { "input": "rorohr", "output": "horror" }, "233": { "input": "sicm", "output": "misc" }, "234": { 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}, "7011": { "input": "labett", "output": "battle" }, "7012": { "input": "rionrsmo", "output": "morrison" }, "7013": { "input": "nocipaemacd", "output": "accompanied" }, "7014": { "input": "eys", "output": "yes" }, "7015": { "input": "iiloatngobs", "output": "obligations" }, "7016": { "input": "tincgihsw", "output": "switching" }, "7017": { "input": "fefj", "output": "jeff" }, "7018": { "input": "icroptnepe", "output": "perception" }, "7019": { "input": "toverisufa", "output": "favourites" }, "7020": { "input": "higtns", "output": "things" }, "7021": { "input": "gerem", "output": "merge" }, "7022": { "input": "tesetd", "output": "tested" }, "7023": { "input": "ienctfief", "output": "efficient" }, "7024": { "input": "osiughn", "output": "housing" }, "7025": { "input": "rckitce", "output": "cricket" }, "7026": { "input": "excle", "output": "excel" }, "7027": { "input": "eagsdlsrre", "output": "regardless" }, "7028": { "input": "neatm", "output": "meant" }, "7029": { "input": "aotrry", "output": "rotary" }, "7030": { "input": "eovdm", "output": "moved" }, "7031": { "input": "fmeorrrpe", "output": "performer" }, "7032": { "input": "nlatp", "output": "plant" }, "7033": { "input": "ardb", "output": "brad" }, "7034": { "input": "laism", "output": "islam" } } } ================================================ FILE: InstructZero/experiments/evaluation/instruction_induction/__init__.py ================================================ ================================================ FILE: InstructZero/experiments/evaluation/instruction_induction/exec_accuracy.py ================================================ import numpy as np from automatic_prompt_engineer import data, llm, evaluate from evaluation.instruction_induction import utility def get_query(prompt, eval_template, input_, output_, demo_data, demos_template): demos = demos_template.fill(demo_data) query = eval_template.fill(prompt=prompt, input=input_, output='', full_demo=demos) return query def get_query_for_test(prompt, eval_template, input_, output_): query = eval_template.fill(prompt=prompt, input=input_, output='', full_demo='') return query def exec_accuracy_evaluator(prompts, eval_template, eval_data, demos_template, few_shot_data, config): queries = [] answers = [] for prompt in prompts: subsampled_data = data.subsample_data( eval_data, config['num_samples']) for d in zip(*subsampled_data): input_, output_ = d demo_data = data.subsample_data( few_shot_data, config['num_few_shot']) # demo_data = None query = get_query( prompt, eval_template, input_, output_, demo_data, demos_template) queries.append(query) answers.append(output_) # Instantiate the LLM model = llm.model_from_config(config['model']) model_outputs = model.generate_text(queries, 1) task = config['task'] metric = utility.TASK_TO_METRIC.get(task, utility.default_metric) print(f'Using metric "{metric}" for task "{task}"...') if metric == 'f1': score_fn = utility.get_multi_answer_f1 elif metric == 'es': score_fn = utility.get_multi_answer_exact_set elif metric == 'contains': score_fn = utility.get_multi_answer_contains elif metric == 'em': score_fn = utility.get_multi_answer_em scores = [] for prediction, ans_ in zip(model_outputs, answers): score = score_fn(prediction, ans_) scores.append(score) # Reshape the scores so that it is num_prompts x num_samples scores = np.array(scores).reshape(len(prompts), config['num_samples']) res = ExecAccuracyEvaluationResult(prompts, scores) return res, scores class exec_evaluator(object): def __init__(self, api_model, config): # instantiate the LLM here if api_model=='llama': self.model = llm.Llama_Forward(config) elif api_model=='flan-t5': self.model = llm.Flan_T5(config) def evaluate(self, prompts, eval_template, eval_data, demos_template, few_shot_data, config): queries = [] answers = [] prompts = [prompts[0] for i in range(20)] for prompt in prompts: subsampled_data = data.subsample_data( eval_data, config['num_samples']) for d in zip(*subsampled_data): input_, output_ = d demo_data = data.subsample_data( few_shot_data, config['num_few_shot']) # demo_data = None query = get_query( prompt, eval_template, input_, output_, demo_data, demos_template) queries.append(query) answers.append(output_) model_outputs = self.model.generate_text(queries, 1) # import pdb; pdb.set_trace() task = config['task'] metric = utility.TASK_TO_METRIC.get(task, utility.default_metric) print(f'Using metric "{metric}" for task "{task}"...') if metric == 'f1': score_fn = utility.get_multi_answer_f1 elif metric == 'es': score_fn = utility.get_multi_answer_exact_set elif metric == 'contains': score_fn = utility.get_multi_answer_contains elif metric == 'em': score_fn = utility.get_multi_answer_em scores = [] for prediction, ans_ in zip(model_outputs, answers): score = score_fn(prediction, ans_) scores.append(score) # Reshape the scores so that it is num_prompts x num_samples scores = np.array(scores).reshape(len(prompts), config['num_samples']) res = ExecAccuracyEvaluationResult(prompts, scores) return res def test(self, prompts, eval_template, eval_data, config): queries = [] answers = [] num_samples = config['evaluation']['num_samples'] prompts = [prompts[0] for i in range(num_samples)] # import pdb; pdb.set_trace() for prompt in prompts: subsampled_data = data.subsample_data( eval_data, num_samples) for d in zip(*subsampled_data): input_, output_ = d query = get_query_for_test( prompt, eval_template, input_, output_) queries.append(query) answers.append(output_) model_outputs = self.model.generate_text(queries, 1) # import pdb; pdb.set_trace() task = config['evaluation']['task'] metric = utility.TASK_TO_METRIC.get(task, utility.default_metric) print(f'Using metric "{metric}" for task "{task}"...') if metric == 'f1': score_fn = utility.get_multi_answer_f1 elif metric == 'es': score_fn = utility.get_multi_answer_exact_set elif metric == 'contains': score_fn = utility.get_multi_answer_contains elif metric == 'em': score_fn = utility.get_multi_answer_em scores = [] for prediction, ans_ in zip(model_outputs, answers): score = score_fn(prediction, ans_) scores.append(score) # Reshape the scores so that it is num_prompts x num_samples scores = np.array(scores).reshape(len(prompts), num_samples) res = ExecAccuracyEvaluationResult(prompts, scores) return res class ExecAccuracyEvaluationResult(evaluate.EvaluationResult): def __init__(self, prompts, scores): self.prompts = prompts self.scores = scores def _agg_scores(self, method): """For each prompt, compute a statistic of the scores (e.g., mean, median)""" if method == 'mean': return [np.mean(s) for s in self.scores] elif method == 'median': return [np.median(s) for s in self.scores] elif method == 'std': return [np.std(s) for s in self.scores] elif method == 'max': return [np.max(s) for s in self.scores] elif method == 'min': return [np.min(s) for s in self.scores] elif method == 'iqm': return [np.mean(np.percentile(lps, [25, 75])) for lps in self.scores] else: raise ValueError('Invalid method: {}'.format(method)) def sorted(self, method='default'): if method == 'default': scores = self._agg_scores('mean') else: scores = self._agg_scores(method) # Sort prompts by score sorted_prompts = [p for _, p in sorted(zip(scores, self.prompts))] sorted_scores = sorted(scores) # Reverse both and convert to lists sorted_prompts = list(reversed(sorted_prompts)) sorted_scores = list(reversed(sorted_scores)) return sorted_prompts, sorted_scores def in_place(self, method='default'): if method == 'default': scores = self._agg_scores('mean') else: scores = self._agg_scores(method) return self.prompts, scores ================================================ FILE: InstructZero/experiments/evaluation/instruction_induction/utility.py ================================================ ''' Taken from the Instruction Induction paper: https://arxiv.org/pdf/2205.10782.pdf ''' import re import string from collections import Counter # TODO: add some more metrics here for the new tasks. TASK_TO_METRIC = {'common_concept': 'f1', 'informal_to_formal': 'f1', 'orthography_starts_with': 'es', 'taxonomy_animal': 'es', 'synonyms': 'contains'} default_metric = 'em' def normalize_prediction(prediction, lowercase=True): prediction = prediction.replace(' and ', ' ') prediction = prediction.replace('Sentence 1:', ' ') prediction = prediction.replace('Sentence 2:', ' ') prediction = prediction.strip() prediction = prediction.split("\n")[0] prediction = prediction.split(".")[0] if lowercase: prediction = prediction.lower() # remove punctuation prediction = prediction.replace('-', ' ') prediction = prediction.translate( str.maketrans('', '', string.punctuation)) return prediction def get_f1_score(prediction, ground_truth): prediction_tokens = normalize_prediction( prediction, lowercase=True).split() ground_truth_tokens = normalize_prediction( ground_truth, lowercase=True).split() common = Counter(prediction_tokens) & Counter(ground_truth_tokens) num_same = sum(common.values()) if num_same == 0: return 0 precision = 1.0 * num_same / len(prediction_tokens) recall = 1.0 * num_same / len(ground_truth_tokens) f1 = (2 * precision * recall) / (precision + recall) return f1 def get_em_score(prediction, ground_truth): prediction_normalized = normalize_prediction(prediction, lowercase=True) ground_truth_normalized = normalize_prediction( ground_truth, lowercase=True) return prediction_normalized == ground_truth_normalized def get_exact_set_score(prediction, ground_truth): prediction_normalized = normalize_prediction( prediction, lowercase=True).split() ground_truth_normalized = normalize_prediction( ground_truth, lowercase=True).split() return int(set(prediction_normalized) == set(ground_truth_normalized)) def get_contains_score(prediction, ground_truth): prediction_normalized = normalize_prediction(prediction, lowercase=True) ground_truth_normalized = normalize_prediction( ground_truth, lowercase=True) if re.search(r'\b({0})\b'.format(ground_truth_normalized), prediction_normalized): return 1 def get_multi_answer_em(prediction, answers): for answer in answers: if get_em_score(prediction, answer) == 1: return 1 return 0 def get_multi_answer_f1(prediction, answers): f1_scores = [] for answer in answers: f1_scores.append(get_f1_score(prediction, answer)) return max(f1_scores) def get_multi_answer_exact_set(prediction, answers): for answer in answers: if get_exact_set_score(prediction, answer) == 1: return 1 return 0 def get_multi_answer_contains(prediction, answers): for answer in answers: if get_contains_score(prediction, answer) == 1: return 1 return 0 ================================================ FILE: InstructZero/experiments/instruction_coupled_kernel.py ================================================ # gpytorch for substring kernel implemented in https://github.com/henrymoss/BOSS/tree/master/boss/code/kernels/string from gpytorch.kernels.kernel import Kernel import torch import numpy as np from tqdm.auto import tqdm, trange from pathlib import Path import json import numpy as np import torch import os import cma os.environ["TF_CPP_MIN_LOG_LEVEL"] = "2" class CombinedStringKernel(Kernel): def __init__(self, base_latent_kernel, instruction_kernel, latent_train, instruction_train, **kwargs): super().__init__(**kwargs) self.base_latent_kernel = base_latent_kernel # Kernel on the latent space (Matern Kernel) self.instruction_kernel = instruction_kernel # Kernel on the latent space (Matern Kernel) self.latent_train = latent_train # normalized training input self.lp_dim = self.latent_train.shape[-1] self.instruction_train = instruction_train # SMILES format training input #self.get_smiles(self.latent_train)#.clone()) def forward(self, z1, z2, **params): # z1 and z2 are unnormalized check_dim = 0 if len(z1.shape) > 2: check_dim = z1.shape[0] z1 = z1.squeeze(1) if len(z2.shape) > 2: check_dim = z2.shape[0] z2 = z2[0] latent_train_z1 = z1[:, :self.lp_dim] latent_train_z2 = z2[:, :self.lp_dim] K_train_instruction = self.instruction_kernel.forward(self.instruction_train, self.instruction_train, **params) latent_space_kernel = self.base_latent_kernel.forward(self.latent_train, self.latent_train, **params) K_z1_training = self.base_latent_kernel.forward(latent_train_z1, self.latent_train, **params) K_z2_training = self.base_latent_kernel.forward(latent_train_z2, self.latent_train, **params) latent_space_kernel_inv = torch.inverse(latent_space_kernel + 0.0001 * torch.eye(len(self.latent_train)).to(latent_space_kernel.device)) kernel_val = K_z1_training @ latent_space_kernel_inv @ (K_train_instruction) @ latent_space_kernel_inv @ K_z2_training.T if check_dim > 0: kernel_val = kernel_val.unsqueeze(1) return kernel_val def cma_es_concat(starting_point_for_cma, EI, tkwargs): if starting_point_for_cma.type() == 'torch.cuda.DoubleTensor': starting_point_for_cma = starting_point_for_cma.detach().cpu().squeeze() es = cma.CMAEvolutionStrategy(x0=starting_point_for_cma, sigma0=0.8, inopts={'bounds': [-1, 1], "popsize": 50},) iter = 1 while not es.stop(): iter += 1 xs = es.ask() X = torch.tensor(np.array(xs)).float().unsqueeze(1).to(**tkwargs) with torch.no_grad(): Y = -1 * EI(X) es.tell(xs, Y.cpu().numpy()) # return the result to the optimizer print("current best") print(f"{es.best.f}") if (iter > 10): break return es.best.x, -1 * es.best.f ================================================ FILE: InstructZero/experiments/misc.py ================================================ import torch import random import numpy as np from evaluation.instruction_induction.exec_accuracy import exec_accuracy_evaluator import os TASKS=[ 'antonyms', 'cause_and_effect', 'common_concept', 'diff', 'first_word_letter', 'informal_to_formal', 'larger_animal', 'letters_list', 'taxonomy_animal', 'negation', 'num_to_verbal', 'active_to_passive', 'singular_to_plural', 'rhymes', 'second_word_letter', 'sentence_similarity', 'sentiment', 'orthography_starts_with', 'sum', 'synonyms', 'translation_en-de', 'translation_en-es', 'translation_en-fr', 'word_in_context', 'auto_categorization', 'auto_debugging', 'ascii', 'cs_algorithms', 'periodic_elements', 'word_sorting', 'word_unscrambling', 'odd_one_out', 'object_count' ] SMOKE_TEST = os.environ.get("SMOKE_TEST") ## bayesian opt tkwargs = { "device": torch.device("cuda:0" if torch.cuda.is_available() else "cpu"), "dtype": torch.double, } N_INIT = 25 N_ITERATIONS = 5 if not SMOKE_TEST else 1 BATCH_SIZE = 25 if not SMOKE_TEST else 1 def get_test_conf(task, test_data): test_conf={ 'generation': { 'num_subsamples': 3, 'num_demos': 5, 'num_prompts_per_subsample': 0, 'model': { 'gpt_config': { # 'model': 'text-ada-001' } } }, 'evaluation': { 'method': exec_accuracy_evaluator, # option: accuracy (cannot use likelihood here due to the textual outputs from ChatGPT do not have log prob) 'num_samples': min(100, len(test_data[0])), 'task': task, 'model': { "name": "GPT_forward", 'gpt_config': { 'model': 'GPT-3.5-turbo', } } } } return test_conf def get_conf(task, eval_data): conf = { 'generation': { 'num_subsamples': 1, 'num_demos': 10, 'num_prompts_per_subsample': 20, 'model': { 'gpt_config': { # 'model': 'text-ada-001' } } }, 'evaluation': { 'method': exec_accuracy_evaluator, 'task': task, 'num_samples': min(20, len(eval_data[0])), 'model': { 'gpt_config': { # 'model': 'text-ada-001' } } } } return conf def set_all_seed(seed): random.seed(seed) np.random.seed(seed) torch.manual_seed(seed) torch.cuda.manual_seed(seed) torch.cuda.manual_seed_all(seed) return f"Set all the seeds to {seed} successfully!" ================================================ FILE: InstructZero/experiments/run_instructzero.py ================================================ import random import torch import numpy as np import copy from automatic_prompt_engineer import ape, data from data.instruction_induction.load_data import load_data from transformers import AutoModelForCausalLM, AutoTokenizer from automatic_prompt_engineer import evaluate, config, template, data import os import re from misc import get_test_conf, get_conf from torch.quasirandom import SobolEngine from botorch.models import SingleTaskGP from gpytorch.mlls import ExactMarginalLogLikelihood from botorch import fit_gpytorch_model from botorch.acquisition.analytic import ExpectedImprovement from gpytorch.kernels import ScaleKernel, MaternKernel from gpytorch.priors import GammaPrior from instruction_coupled_kernel import * import time from misc import set_all_seed, TASKS, tkwargs, N_INIT, BATCH_SIZE, N_ITERATIONS from args import parse_args os.environ["TOKENIZERS_PARALLELISM"] = "false" class LMForwardAPI: def __init__(self, model_name=None, eval_data=None, init_prompt=None, init_qa=None, conf=None, base_conf=None, prompt_gen_data=None, random_proj=None, intrinsic_dim=None, n_prompt_tokens=None, few_shot_data=None, HF_cache_dir=None, args=None): p = torch.ones(10) kwargs={ 'torch_dtype': torch.float16, 'use_cache': True } self.ops_model = model_name # import pdb; pdb.set_trace() if self.ops_model in ["vicuna", "wizardlm", 'openchat']: self.model = AutoModelForCausalLM.from_pretrained( HF_cache_dir, low_cpu_mem_usage=True, device_map="auto", **kwargs, ) self.tokenizer = AutoTokenizer.from_pretrained( HF_cache_dir, model_max_length=1024, padding_side="left", use_fast=False, ) else: raise NotImplementedError self.init_token = init_prompt[0] + init_qa[0] if self.ops_model in ['wizardlm', 'vicuna', 'openchat']: self.embedding = self.model.get_input_embeddings().weight.clone() input_ids = self.tokenizer(init_prompt, return_tensors="pt").input_ids.cuda() self.init_prompt = self.embedding[input_ids] ################# setup n_prompts_token ################# self.n_prompt_tokens = n_prompt_tokens self.hidden_size = self.init_prompt.shape[-1] print('Shape of initial prompt embedding: {}'.format(self.init_prompt.shape)) # self.init_prompt = self.init_prompt.reshape(self.n_prompt_tokens * self.hidden_size) # Create the template for Vicuna and WizardLM self.count = 0 self.linear = torch.nn.Linear(intrinsic_dim, self.n_prompt_tokens * self.hidden_size, bias=False) if self.ops_model == 'vicuna': self.system_prompt = "A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions." self.role = ['USER:', 'ASSISTANT:'] elif self.ops_model == 'wizardlm': self.system_prompt = "A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions." self.role = ['USER:', 'ASSISTANT:'] elif self.ops_model == 'alpaca': self.system_prompt= "Below is an instruction that describes a task. Write a response that appropriately completes the request." self.role = ["### Instruction:", "### Response:"] else: NotImplementedError if random_proj == 'normal': # calculate std for normal distribution if model_name in ['wizardlm', 'vicuna', 'openchat']: print('Get the embedding firstly to avoid issues') else: raise NotImplementedError mu_hat = self.embedding.reshape(-1).mean().item() std_hat = self.embedding.reshape(-1).std().item() mu = 0.0 std = args.alpha * std_hat / (np.sqrt(intrinsic_dim) * args.sigma) print('[Embedding] mu: {} | std: {} [RandProj] mu: {} | std: {}'.format(mu_hat, std_hat, mu, std)) torch.nn.init.normal_(self.linear.weight, -1, 1) elif random_proj == 'uniform': torch.nn.init.uniform_(self.linear.weight, -1, 1) ## eval preparation self.conf = config.update_config(conf, base_conf) self.eval_data = eval_data self.eval_template = template.EvalTemplate("Instruction: [PROMPT]\n\nInput: [INPUT]\n Output: [OUTPUT]") self.demos_template = template.DemosTemplate("Input: [INPUT]\nOutput: [OUTPUT]") # Temporarily remove the API model "LLaMA-33B" and "Flan-T5 13B" # if args.api_model in ['llama', 'flan-t5']: # self.api_model = exec_evaluator(args.api_model, self.conf) # else: self.api_model = args.api_model if few_shot_data is None: self.few_shot_data = prompt_gen_data self.best_train_perf = 0.0 self.best_dev_perf = 0.0 self.best_last_perf = 10 self.best_prompt = None self.num_call = 0 self.best_instruction = None self.prompts_set = dict() def eval(self, prompt_embedding=None, test_data=None): self.num_call += 1 if prompt_embedding is None: prompt_embedding = self.best_prompt tmp_prompt = copy.deepcopy(prompt_embedding) # list or numpy.ndarray if isinstance(prompt_embedding, list): # multiple queries pe_list = [] for pe in prompt_embedding: z = torch.tensor(pe).type(torch.float32) # z z = self.linear(z) # Az prompt_embedding = torch.cat(pe_list) # num_workers*bsz x prompt_len x dim elif isinstance(prompt_embedding, np.ndarray): # single query or None prompt_embedding = torch.tensor(prompt_embedding).type(torch.float32) # z prompt_embedding = self.linear(prompt_embedding) # Az # if self.init_prompt is not None: # prompt_embedding = prompt_embedding + self.init_prompt # Az + p_0 prompt_embedding = prompt_embedding.reshape(1, self.n_prompt_tokens, -1) elif isinstance(prompt_embedding, torch.Tensor): prompt_embedding = prompt_embedding.type(torch.float32) prompt_embedding = self.linear(prompt_embedding) # Az prompt_embedding = prompt_embedding.reshape(1, self.n_prompt_tokens, -1) else: raise ValueError( f'[Prompt Embedding] Only support [list, numpy.ndarray], got `{type(prompt_embedding)}` instead.' ) # create the input text with the system prompt input_text = f"{self.system_prompt} USER:{self.init_token} ASSISTANT:" input_ids = self.tokenizer(input_text, return_tensors="pt").input_ids.cuda() input_embed = self.embedding[input_ids] prompt_embedding = prompt_embedding.to(device=input_embed.device, dtype=input_embed.dtype) input_embed = torch.cat((prompt_embedding, input_embed), 1) outputs = self.model.generate(inputs_embeds=input_embed, max_new_tokens=128) instruction = self.tokenizer.batch_decode(outputs, skip_special_tokens=True) # postprocess instruction # instruction[0] = 'The instruction was to ' + instruction[0] # import pdb; pdb.set_trace() # start = instruction[0].find('The instruction was to') # end = instruction[0].find('Comment:') # if end == -1: # instruction[0] = instruction[0][start:] # else: # instruction[0] = instruction[0][start: end] # sentences = re.split(r' *[\.\?!][\'"\)\]]* *', instruction[0]) # search_string = 'The instruction was to' # for sentence in sentences: # if sentence.startswith(search_string): # instruction[0] = sentence # break # print post-processed instruction print('Instruction: {}'.format(instruction)) if instruction[0] in self.prompts_set.keys(): (dev_perf, instruction_score) = self.prompts_set[instruction[0]] else: if self.api_model in ['chatgpt']: dev_perf, instruction_score = evaluate.evaluate_prompts(instruction, self.eval_template, self.eval_data, self.demos_template, self.few_shot_data, self.conf['evaluation']['method'], self.conf['evaluation']) dev_perf = dev_perf.sorted()[1][0] self.prompts_set[instruction[0]] = (dev_perf, instruction_score) # We will fix the bugs for other api models. Stay tuned! # elif api_model in ['llama', 'flan-t5']: # dev_perf, instruction_score = self.api_model.evaluate(instruction, self.eval_template, self.eval_data, self.demos_template, self.few_shot_data, # self.conf['evaluation']).sorted()[1][0] # self.prompts_set[instruction[0]] = (dev_perf, instruction_score) else: raise NotImplementedError if dev_perf >= self.best_last_perf: self.count += 1 if dev_perf >= self.best_dev_perf: self.best_dev_perf = dev_perf self.best_prompt = copy.deepcopy(tmp_prompt) self.best_instruction = instruction print('Dev loss: {}. Dev perf: {}. Best dev perf: {}'.format( round(float(dev_perf), 4), round(float(dev_perf), 4), round(float(self.best_dev_perf), 4))) print('********* Done *********') return dev_perf, instruction_score def return_best_prompt(self): return self.best_instruction def return_prompts_set(self): return self.prompts_set def run(args): task, HF_cache_dir=args.task, args.HF_cache_dir random_proj, intrinsic_dim, n_prompt_tokens= args.random_proj, args.intrinsic_dim, args.n_prompt_tokens assert args.task in TASKS, 'Task not found!' induce_data, test_data = load_data('induce', task), load_data('eval', task) # Get size of the induce data induce_data_size = len(induce_data[0]) prompt_gen_size = min(int(induce_data_size), 100) # Induce data is split into prompt_gen_data and eval_data prompt_gen_data, eval_data = data.create_split( induce_data, prompt_gen_size) # Data is in the form input: single item, output: list of items # For prompt_gen_data, sample a single item from the output list prompt_gen_data = prompt_gen_data[0], [random.sample(output, 1)[0] for output in prompt_gen_data[1]] # import pdb; pdb.set_trace() demos_template = "Input: [INPUT]\nOutput: [OUTPUT]" eval_template = "Instruction: [PROMPT]\n\nInput: [INPUT]\n\nOUTPUT: [OUTPUT]" # change the evaluation template init_prompt = ['\n'] prompt_gen_template = "[full_DEMO]\n\nThe instruction was to?" # prompt_gen_template = "[full_DEMO]\n\nWhat was the instruction for the task?" # prompt_gen_template = "[full_DEMO]\n\n Please generate appropriate instructions for the task." base_conf = '../configs/instruction_induction.yaml' conf = get_conf(task, eval_data) # make the demo automatically subsampled_data = data.subsample_data(prompt_gen_data, conf['generation']['num_demos']) prompt_gen_template = template.InitQATemplate(prompt_gen_template) d_template = template.DemosTemplate(demos_template) demos = d_template.fill(subsampled_data) init_qa = [prompt_gen_template.fill(demos)] model_forward_api = LMForwardAPI(model_name=args.model_name, eval_data=eval_data, init_prompt=init_prompt, init_qa=init_qa, conf=conf, base_conf=base_conf, prompt_gen_data=prompt_gen_data, random_proj=random_proj, intrinsic_dim=intrinsic_dim, n_prompt_tokens=n_prompt_tokens, HF_cache_dir=HF_cache_dir, args=args) # start bayesian opt X = SobolEngine(dimension=intrinsic_dim, scramble=True, seed=0).draw(N_INIT) X_return = [model_forward_api.eval(x) for x in X] Y = [X[0] for X in X_return] Y_scores = [X[1].squeeze() for X in X_return] X = X.to(**tkwargs) Y = torch.FloatTensor(Y).unsqueeze(-1).to(**tkwargs) Y_scores = torch.FloatTensor(np.array(Y_scores)).to(**tkwargs) print(f"Best initial point: {Y.max().item():.3f}") # standardization Y (no standardization for X) X_train = X y_train = (Y - Y.mean(dim=-2))/(Y.std(dim=-2) + 1e-9) # define matern kernel matern_kernel = MaternKernel( nu=2.5, ard_num_dims=X_train.shape[-1], lengthscale_prior=GammaPrior(3.0, 6.0), ) matern_kernel_instruction = MaternKernel( nu=2.5, ard_num_dims=Y_scores.shape[-1], lengthscale_prior=GammaPrior(3.0, 6.0), ) covar_module = ScaleKernel(base_kernel=CombinedStringKernel(base_latent_kernel=matern_kernel, instruction_kernel=matern_kernel_instruction, latent_train=X_train.double(), instruction_train=Y_scores)) gp_model = SingleTaskGP(X_train, y_train, covar_module=covar_module) gp_mll = ExactMarginalLogLikelihood(gp_model.likelihood, gp_model) for i in range(N_ITERATIONS): print(f"X_train shape {X_train.shape}") print(f"y_train shape {y_train.shape}") start_time = time.time() fit_gpytorch_model(gp_mll)#, options = {'maxiter':10}) print(f"Fitting done in {time.time()-start_time}") start_time = time.time() EI = ExpectedImprovement(gp_model, best_f = y_train.max().item()) starting_idxs = torch.argsort(-1*y_train.squeeze())[:BATCH_SIZE] starting_points = X_train[starting_idxs] best_points = [] best_vals = [] for starting_point_for_cma in starting_points: if (torch.max(starting_point_for_cma) > 1 or torch.min(starting_point_for_cma) < -1): continue newp, newv = cma_es_concat(starting_point_for_cma, EI, tkwargs) best_points.append(newp) best_vals.append(newv) print(f"best point {best_points[np.argmax(best_vals)]} \n with EI value {np.max(best_vals)}") print(f"Time for CMA-ES {time.time() - start_time}") for idx in np.argsort(-1*np.array(best_vals)): X_next_point = torch.from_numpy(best_points[idx]).float().unsqueeze(0) # Y_next_point = [model_forward_api.eval(X_next_point)] X_next_points_return = [model_forward_api.eval(X_next_point)] Y_next_point = [X[0] for X in X_next_points_return] Y_scores_next_points = [X[1].squeeze() for X in X_next_points_return] X_next_point = X_next_point.to(**tkwargs) Y_next_point = torch.FloatTensor(Y_next_point).unsqueeze(-1).to(**tkwargs) Y_scores_next_points = torch.FloatTensor(np.array(Y_scores_next_points)).to(**tkwargs) X = torch.cat([X, X_next_point]) Y = torch.cat([Y, Y_next_point]) Y_scores = torch.cat([Y_scores, Y_scores_next_points]) # standardization Y X_train = X.clone() y_train = (Y - Y.mean(dim=-2))/(Y.std(dim=-2) + 1e-9) matern_kernel = MaternKernel( nu=2.5, ard_num_dims=X_train.shape[-1], lengthscale_prior=GammaPrior(3.0, 6.0), ) matern_kernel_instruction = MaternKernel( nu=2.5, ard_num_dims=Y_scores.shape[-1], lengthscale_prior=GammaPrior(3.0, 6.0), ) covar_module = ScaleKernel(base_kernel=CombinedStringKernel(base_latent_kernel=matern_kernel, instruction_kernel=matern_kernel_instruction, latent_train=X_train.double(), instruction_train=Y_scores)) gp_model = SingleTaskGP(X_train, y_train, covar_module=covar_module) gp_mll = ExactMarginalLogLikelihood(gp_model.likelihood, gp_model) print(f"Best value found till now: {torch.max(Y)}") print('Evaluate on test data...') prompts = model_forward_api.return_best_prompt() print("Best instruction is:") print(prompts) print("The final instruction set is:") print(model_forward_api.return_prompts_set()) # Evaluate on test data print('Evaluating on test data...') test_conf = get_test_conf(task, test_data) test_res = ape.evaluate_prompts(prompts=prompts, eval_template=eval_template, eval_data=test_data, few_shot_data=prompt_gen_data, demos_template=demos_template, conf=test_conf, base_conf=base_conf) test_res = test_res[0] test_score = test_res.sorted()[1][0] return test_score # print(f'Test score on ChatGPT: {test_score}') if __name__ == '__main__': args = parse_args() # evaluation budget print(f"Using a total of {N_INIT + BATCH_SIZE * N_ITERATIONS} function evaluations") print(set_all_seed(args.seed)) test_score = run(args=args) print("Finished!!!") print(f'Test score on ChatGPT: {test_score}') ================================================ FILE: InstructZero/experiments/run_instructzero.sh ================================================ export CUDA_VISIBLE_DEVICES=0 SFT=5 RANDOM_PROJ='uniform' INTRINSIC_DIM=10 # model_dir='lmsys/vicuna-13b-v1.3' # MODEL_NAME='vicuna' model_dir='WizardLM/WizardLM-13B-V1.1' MODEL_NAME='wizardlm' export TRANSFORMERS_CACHE=/fs/nexus-scratch/bobchen datasets=(informal_to_formal odd_one_out second_word_letter synonyms word_sorting letters_list) for i in ${datasets[@]}; do echo $i python experiments/run_instructzero.py \ --task $i \ --random_proj ${RANDOM_PROJ} \ --n_prompt_tokens $SFT \ --intrinsic_dim $INTRINSIC_DIM \ --HF_cache_dir ${model_dir} \ --model_name ${MODEL_NAME} done ================================================ FILE: README.md ================================================ # InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models (ICML2024) Lichang Chen*, Jiuhai Chen*, Tom Goldstein, Heng Huang, Tianyi Zhou ### [Project page](https://lichang-chen.github.io/InstructZero/) | [Paper](https://arxiv.org/abs/2306.03082)

Find the optimal instruction is extremely important for achieving the "charm", and this holds true for Large Language Models as well. ("Wingardium Leviosa" was a charm used to make objects fly, or levitate. If you are interested in "leviOsa", please check the video in our project page).
If you have any questions, feel free to email the correspondence authors: Lichang Chen, Jiuhai Chen. (bobchen, jchen169 AT umd.edu) ## News + [2023.7] We just got the Claude API key and our code will support GPT-4 and Claude(as API LLMs), WizardLM-13B and 30B~(as open-sourced LLMs) in the next week! + [2023.7] Now our code support vicuna-v1.3 models and WizardLM-v1.1 models as open-source LLMs. + [2023.7] Introducing AlpaGasus 🦙 [Paper](https://arxiv.org/abs/2307.08701), [Webpage](https://lichang-chen.github.io/AlpaGasus/), [Code](https://github.com/gpt4life/alpagasus) - making LLM instruction-finetuning smarter, not harder, using fewer data. We uses ChatGPT to select only 9k high-quality data from Alpaca's 52k data. The 9k data lead to Faster training time (5.7x ⏩), better performance (matching >90% of Text-Davinci-003). + [2023.9] Our code now starts to support open-source LLMs as the black-box API LLM! Hope this function can help your research! ## About We propose a new kind of Alignment! The optimization process in our method is like aligning human with LLMs. (Compared to ours, instruction finetuning is more like aligning LLMs with human.) It is also the first framework to optimize the bad prompts for ChatGPT and finally obtain good prompts. ## Background LLMs are instruction followers, but it can be challenging to find the best instruction for different situations, especially for black-box LLMs on which backpropagation is forbidden. Instead of directly optimizing the discrete instruction, we optimize a low-dimensional soft prompt applied to an open-source LLM to generate the instruction for the black-box LLM.

## Code Structure We have two folders in InstructZero: - automatic_prompt_engineering: this folder contains the functions from [APE](https://github.com/keirp/automatic_prompt_engineer), like you could use functions in generate.py to calculate the cost of the whole training required. BTW, to ensure a more efficient OPENAI querying, we make asynchronous calls of ChatGPT which is adapted from [Graham's code](https://gist.github.com/neubig/80de662fb3e225c18172ec218be4917a) - experiments: contains the implementation of our pipeline and instruction-coupled kernels. ## Installation - Create env and download all the packages required as follows: ``` conda create -n InstructZero conda install pytorch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 pytorch-cuda=11.6 -c pytorch -c nvidia conda install botorch -c pytorch -c gpytorch -c conda-forge pip install -r requirements.txt # install other requirements ``` ## Usage 1. Firstly, you need to prepare your OPENAI KEY. ``` export OPENAI_API_KEY=Your_KEY ``` 2. Secondly, run the script to reproduce the experiments. ``` bash experiments/run_instructzero.sh ``` ## Hyperparameters Here we introduce the hyperparameters in our algorithm. - instrinsic_dim: the dimension of the projection matrix, default=10 - soft tokens: the length of the tunable prompt embeddings, you can choose from [3, 10] ## Frequently Asked Questions - API LLMs and open-source LLMs support: currently, we only support for Vicuna-13b and GPT-3.5-turbo (ChatGPT), respectively. We will support more models in the next month (July). Current Plan: WizardLM-13b for open-source models and Claude, GPT-4 for API LLMs. - Why is the performance of [APE](https://github.com/keirp/automatic_prompt_engineer) quite poor on ChatGPT? Answer: we only have access to the textual output from the black-box LLM, e.g., ChatGPT. So we could not calculate the log probability as the score function in InstructZero as original APE. - Cost for calling ChatGPT API: On the single dataset(e.g., EN-DE dataset), the estimated cost is $1. We will merge the cost computation function into our repo. Stay tuned! - How long does it take to run one task? It is supposed to be less than 10 minutes. ## Comments Our codebase is based on the following repo: - [Botorch](https://github.com/pytorch/botorch) - [APE](https://github.com/keirp/automatic_prompt_engineer) Thanks for their efforts to make the code public! Stay tuned! We will make the usage and installation of our packages as easy as possible! ### Citation Please consider citing our paper if you used our code, or results, thx! ``` @article{chen2023instructzero, title={InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models}, author={Chen, Lichang and Chen, Jiuhai and Goldstein, Tom and Huang, Heng and Zhou, Tianyi}, journal={arXiv preprint arXiv:2306.03082}, year={2023} } ``` ================================================ FILE: requirements.txt ================================================ transformers==4.29.2 openai==0.27.2 fire==0.5.0 tqdm==4.65.0 gradio==3.23.0 cma==3.3.0 accelerate==0.21.0 sentencepiece==0.1.99