Datasets:
Tasks:
Question Answering
Formats:
parquet
Sub-tasks:
open-domain-qa
Languages:
English
Size:
10K - 100K
License:
![albertvillanova's picture](https://cdn-avatars.huggingface.co/v1/production/uploads/1606406298765-noauth.jpeg)
albertvillanova
HF staff
Add missing features to openbookqa dataset for additional config (#4278)
dd6edb0
annotations_creators: | |
- crowdsourced | |
- expert-generated | |
language_creators: | |
- expert-generated | |
languages: | |
- en | |
licenses: | |
- unknown | |
multilinguality: | |
- monolingual | |
pretty_name: OpenBookQA | |
size_categories: | |
- 1K<n<10K | |
source_datasets: | |
- original | |
task_categories: | |
- question-answering | |
task_ids: | |
- open-domain-qa | |
paperswithcode_id: openbookqa | |
# 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:** 2.76 MB | |
- **Size of the generated dataset:** 2.75 MB | |
- **Total amount of disk used:** 5.51 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:** 1.38 MB | |
- **Size of the generated dataset:** 1.38 MB | |
- **Total amount of disk used:** 2.75 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:** 1.38 MB | |
- **Size of the generated dataset:** 1.38 MB | |
- **Total amount of disk used:** 2.75 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. | |