metadata
annotations_creators:
- found
language_creators:
- found
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- open-domain-qa
- multiple-choice-qa
pretty_name: Ai2Arc
language_bcp47:
- en-US
dataset_info:
- config_name: ARC-Challenge
features:
- name: id
dtype: string
- name: question
dtype: string
- name: choices
sequence:
- name: text
dtype: string
- name: label
dtype: string
- name: answerKey
dtype: string
splits:
- name: train
num_bytes: 349760
num_examples: 1119
- name: test
num_bytes: 375511
num_examples: 1172
- name: validation
num_bytes: 96660
num_examples: 299
download_size: 449460
dataset_size: 821931
- config_name: ARC-Easy
features:
- name: id
dtype: string
- name: question
dtype: string
- name: choices
sequence:
- name: text
dtype: string
- name: label
dtype: string
- name: answerKey
dtype: string
splits:
- name: train
num_bytes: 619000
num_examples: 2251
- name: test
num_bytes: 657514
num_examples: 2376
- name: validation
num_bytes: 157394
num_examples: 570
download_size: 762935
dataset_size: 1433908
configs:
- config_name: ARC-Challenge
data_files:
- split: train
path: ARC-Challenge/train-*
- split: test
path: ARC-Challenge/test-*
- split: validation
path: ARC-Challenge/validation-*
- config_name: ARC-Easy
data_files:
- split: train
path: ARC-Easy/train-*
- split: test
path: ARC-Easy/test-*
- split: validation
path: ARC-Easy/validation-*
Dataset Card for "ai2_arc"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://allenai.org/data/arc
- Repository: More Information Needed
- Paper: Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
- Point of Contact: More Information Needed
- Size of downloaded dataset files: 1361.68 MB
- Size of the generated dataset: 2.28 MB
- Total amount of disk used: 1363.96 MB
Dataset Summary
A new dataset of 7,787 genuine grade-school level, multiple-choice science questions, assembled to encourage research in advanced question-answering. The dataset is partitioned into a Challenge Set and an Easy Set, where the former contains only questions answered incorrectly by both a retrieval-based algorithm and a word co-occurrence algorithm. We are also including a corpus of over 14 million science sentences relevant to the task, and an implementation of three neural baseline models for this dataset. We pose ARC as a challenge to the community.
Supported Tasks and Leaderboards
Languages
Dataset Structure
Data Instances
ARC-Challenge
- Size of downloaded dataset files: 680.84 MB
- Size of the generated dataset: 0.83 MB
- Total amount of disk used: 681.67 MB
An example of 'train' looks as follows.
{
"answerKey": "B",
"choices": {
"label": ["A", "B", "C", "D"],
"text": ["Shady areas increased.", "Food sources increased.", "Oxygen levels increased.", "Available water increased."]
},
"id": "Mercury_SC_405487",
"question": "One year, the oak trees in a park began producing more acorns than usual. The next year, the population of chipmunks in the park also increased. Which best explains why there were more chipmunks the next year?"
}
ARC-Easy
- Size of downloaded dataset files: 680.84 MB
- Size of the generated dataset: 1.45 MB
- Total amount of disk used: 682.29 MB
An example of 'train' looks as follows.
{
"answerKey": "B",
"choices": {
"label": ["A", "B", "C", "D"],
"text": ["Shady areas increased.", "Food sources increased.", "Oxygen levels increased.", "Available water increased."]
},
"id": "Mercury_SC_405487",
"question": "One year, the oak trees in a park began producing more acorns than usual. The next year, the population of chipmunks in the park also increased. Which best explains why there were more chipmunks the next year?"
}
Data Fields
The data fields are the same among all splits.
ARC-Challenge
id: astringfeature.question: astringfeature.choices: a dictionary feature containing:text: astringfeature.label: astringfeature.
answerKey: astringfeature.
ARC-Easy
id: astringfeature.question: astringfeature.choices: a dictionary feature containing:text: astringfeature.label: astringfeature.
answerKey: astringfeature.
Data Splits
| name | train | validation | test |
|---|---|---|---|
| ARC-Challenge | 1119 | 299 | 1172 |
| ARC-Easy | 2251 | 570 | 2376 |
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
Citation Information
@article{allenai:arc,
author = {Peter Clark and Isaac Cowhey and Oren Etzioni and Tushar Khot and
Ashish Sabharwal and Carissa Schoenick and Oyvind Tafjord},
title = {Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge},
journal = {arXiv:1803.05457v1},
year = {2018},
}
Contributions
Thanks to @lewtun, @patrickvonplaten, @thomwolf for adding this dataset.