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