qasc · Dataset Card
qasc: Dataset Card
Written by Ai2, published under cc-by-4.0, revision a34ba204eb9a, read 2026-09-18. Shown as written; SAVRN's own facts about this dataset are on its page.
Dataset Card for "qasc"
Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive Information
- Considerations for Using the Data
- Social Impact of Dataset
- Discussion of Biases
- Other Known Limitations
- Additional Information
- Dataset Curators
- Licensing Information
- Citation Information
- Contributions
Dataset Description
- Homepage: https://allenai.org/data/qasc
- Repository: https://github.com/allenai/qasc/
- Paper: QASC: A Dataset for Question Answering via Sentence Composition
- Point of Contact: More Information Needed
- Size of downloaded dataset files: 1.61 MB
- Size of the generated dataset: 5.87 MB
- Total amount of disk used: 7.49 MB
Dataset Summary
QASC is a question-answering dataset with a focus on sentence composition. It consists of 9,980 8-way multiple-choice questions about grade school science (8,134 train, 926 dev, 920 test), and comes with a corpus of 17M sentences.
Supported Tasks and Leaderboards
Languages
Dataset Structure
Data Instances
default
- Size of downloaded dataset files: 1.61 MB
- Size of the generated dataset: 5.87 MB
- Total amount of disk used: 7.49 MB
An example of 'validation' looks as follows.
{
"answerKey": "F",
"choices": {
"label": ["A", "B", "C", "D", "E", "F", "G", "H"],
"text": ["sand", "occurs over a wide range", "forests", "Global warming", "rapid changes occur", "local weather conditions", "measure of motion", "city life"]
},
"combinedfact": "Climate is generally described in terms of local weather conditions",
"fact1": "Climate is generally described in terms of temperature and moisture.",
"fact2": "Fire behavior is driven by local weather conditions such as winds, temperature and moisture.",
"formatted_question": "Climate is generally described in terms of what? (A) sand (B) occurs over a wide range (C) forests (D) Global warming (E) rapid changes occur (F) local weather conditions (G) measure of motion (H) city life",
"id": "3NGI5ARFTT4HNGVWXAMLNBMFA0U1PG",
"question": "Climate is generally described in terms of what?"
}
Data Fields
The data fields are the same among all splits.
default
id: astringfeature.question: astringfeature.choices: a dictionary feature containing:text: astringfeature.label: astringfeature.answerKey: astringfeature.fact1: astringfeature.fact2: astringfeature.combinedfact: astringfeature.formatted_question: astringfeature.
Data Splits
| name | train | validation | test |
|---|---|---|---|
| default | 8134 | 926 | 920 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
The dataset is released under CC BY 4.0 license.
Citation Information
@article{allenai:qasc,
author = {Tushar Khot and Peter Clark and Michal Guerquin and Peter Jansen and Ashish Sabharwal},
title = {QASC: A Dataset for Question Answering via Sentence Composition},
journal = {arXiv:1910.11473v2},
year = {2020},
}
Contributions
Thanks to @thomwolf, @patrickvonplaten, @lewtun for adding this dataset.