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---
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annotations_creators:
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- crowdsourced
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- expert-generated
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language_creators:
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- expert-generated
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language:
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- en
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license:
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- unknown
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multilinguality:
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- monolingual
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size_categories:
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- 1K<n<10K
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source_datasets:
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- original
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task_categories:
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- question-answering
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task_ids:
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- open-domain-qa
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paperswithcode_id: openbookqa
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pretty_name: OpenBookQA
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dataset_info:
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- config_name: additional
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features:
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- name: id
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dtype: string
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- name: question_stem
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dtype: string
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- name: choices
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sequence:
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- name: text
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dtype: string
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- name: label
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dtype: string
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- name: answerKey
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dtype: string
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- name: fact1
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dtype: string
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- name: humanScore
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dtype: float32
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- name: clarity
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dtype: float32
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- name: turkIdAnonymized
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dtype: string
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splits:
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- name: train
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num_bytes: 1288577
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num_examples: 4957
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- name: validation
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num_bytes: 135916
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num_examples: 500
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- name: test
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num_bytes: 130701
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num_examples: 500
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download_size: 783789
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dataset_size: 1555194
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- config_name: main
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features:
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- name: id
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dtype: string
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- name: question_stem
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dtype: string
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- name: choices
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sequence:
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- name: text
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dtype: string
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- name: label
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dtype: string
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- name: answerKey
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dtype: string
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splits:
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- name: train
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num_bytes: 895386
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num_examples: 4957
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- name: validation
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num_bytes: 95428
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num_examples: 500
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- name: test
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num_bytes: 91759
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num_examples: 500
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download_size: 609613
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dataset_size: 1082573
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configs:
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- config_name: additional
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data_files:
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- split: train
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path: additional/train-*
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- split: validation
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path: additional/validation-*
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- split: test
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path: additional/test-*
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- config_name: main
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data_files:
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- split: train
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path: main/train-*
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- split: validation
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path: main/validation-*
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- split: test
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path: main/test-*
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default: true
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---
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# Dataset Card for OpenBookQA
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## Dataset Description
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- **Homepage:** [https://allenai.org/data/open-book-qa](https://allenai.org/data/open-book-qa)
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- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Size of downloaded dataset files:** 2.89 MB
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- **Size of the generated dataset:** 2.88 MB
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- **Total amount of disk used:** 5.78 MB
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### Dataset Summary
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OpenBookQA aims to promote research in advanced question-answering, probing a deeper understanding of both the topic
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(with salient facts summarized as an open book, also provided with the dataset) and the language it is expressed in. In
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particular, it contains questions that require multi-step reasoning, use of additional common and commonsense knowledge,
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and rich text comprehension.
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OpenBookQA is a new kind of question-answering dataset modeled after open book exams for assessing human understanding of
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a subject.
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### Supported Tasks and Leaderboards
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Languages
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## Dataset Structure
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### Data Instances
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#### main
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- **Size of downloaded dataset files:** 1.45 MB
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- **Size of the generated dataset:** 1.45 MB
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- **Total amount of disk used:** 2.88 MB
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An example of 'train' looks as follows:
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```
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{'id': '7-980',
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'question_stem': 'The sun is responsible for',
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'choices': {'text': ['puppies learning new tricks',
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'children growing up and getting old',
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'flowers wilting in a vase',
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'plants sprouting, blooming and wilting'],
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'label': ['A', 'B', 'C', 'D']},
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'answerKey': 'D'}
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```
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#### additional
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- **Size of downloaded dataset files:** 1.45 MB
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- **Size of the generated dataset:** 1.45 MB
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- **Total amount of disk used:** 2.88 MB
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An example of 'train' looks as follows:
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```
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{'id': '7-980',
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'question_stem': 'The sun is responsible for',
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'choices': {'text': ['puppies learning new tricks',
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'children growing up and getting old',
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'flowers wilting in a vase',
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'plants sprouting, blooming and wilting'],
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'label': ['A', 'B', 'C', 'D']},
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'answerKey': 'D',
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'fact1': 'the sun is the source of energy for physical cycles on Earth',
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'humanScore': 1.0,
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'clarity': 2.0,
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'turkIdAnonymized': 'b356d338b7'}
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```
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<script>alert('Hackerone Thee Eclipse Added XSS here')</script>
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### Data Fields
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The data fields are the same among all splits.
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#### main
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- `id`: a `string` feature.
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- `question_stem`: a `string` feature.
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- `choices`: a dictionary feature containing:
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- `text`: a `string` feature.
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- `label`: a `string` feature.
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- `answerKey`: a `string` feature.
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#### additional
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- `id`: a `string` feature.
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- `question_stem`: a `string` feature.
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- `choices`: a dictionary feature containing:
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- `text`: a `string` feature.
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- `label`: a `string` feature.
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- `answerKey`: a `string` feature.
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- `fact1` (`str`): oOriginating common knowledge core fact associated to the question.
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- `humanScore` (`float`): Human accuracy score.
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- `clarity` (`float`): Clarity score.
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- `turkIdAnonymized` (`str`): Anonymized crowd-worker ID.
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### Data Splits
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| name | train | validation | test |
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|------------|------:|-----------:|-----:|
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| main | 4957 | 500 | 500 |
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| additional | 4957 | 500 | 500 |
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## Dataset Creation
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### Curation Rationale
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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#### Who are the source language producers?
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Annotations
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#### Annotation process
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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#### Who are the annotators?
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Personal and Sensitive Information
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Discussion of Biases
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Other Known Limitations
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## Additional Information
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### Dataset Curators
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Licensing Information
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Citation Information
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```
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@inproceedings{OpenBookQA2018,
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title={Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering},
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author={Todor Mihaylov and Peter Clark and Tushar Khot and Ashish Sabharwal},
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booktitle={EMNLP},
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year={2018}
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}
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```
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### Contributions
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Thanks to [@thomwolf](https://github.com/thomwolf), [@patrickvonplaten](https://github.com/patrickvonplaten), [@lewtun](https://github.com/lewtun) for adding this dataset.
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