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---
pretty_name: race
language:
- ko
size_categories:
- 1K<n<10K
task_categories:
- multiple-choice
task_ids:
- multiple-choice-qa
license: other
license_name: race
license_link: https://www.cs.cmu.edu/~glai1/data/race/
dataset_info:
features:
- name: data_index_by_user
dtype: int32
- name: article
dtype: string
- name: answer
dtype: string
- name: question
dtype: string
- name: options
sequence: string
splits:
- name: train
num_bytes: 191129599
num_examples: 87866
- name: validation
num_bytes: 10507580
num_examples: 4887
- name: test
num_bytes: 10668488
num_examples: 4934
download_size: 46954865
dataset_size: 212305667
---
# Dataset Card for race
## Licensing Information
http://www.cs.cmu.edu/~glai1/data/race/
1. RACE dataset is available for non-commercial research purpose only.
2. All passages are obtained from the Internet which is not property of Carnegie Mellon University. We are not responsible for the content nor the meaning of these passages.
3. You agree not to reproduce, duplicate, copy, sell, trade, resell or exploit for any commercial purpose, any portion of the contexts and any portion of derived data.
4. We reserve the right to terminate your access to the RACE dataset at any time.
## Source Data Citation INformation
```
@inproceedings{lai-etal-2017-race,
title = "{RACE}: Large-scale {R}e{A}ding Comprehension Dataset From Examinations",
author = "Lai, Guokun and
Xie, Qizhe and
Liu, Hanxiao and
Yang, Yiming and
Hovy, Eduard",
booktitle = "Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing",
month = sep,
year = "2017",
address = "Copenhagen, Denmark",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D17-1082",
doi = "10.18653/v1/D17-1082",
pages = "785--794",
}
```
## Citation Information
```
@inproceedings{KITD,
title={์–ธ์–ด ๋ฒˆ์—ญ ๋ชจ๋ธ์„ ํ†ตํ•œ ํ•œ๊ตญ์–ด ์ง€์‹œ ํ•™์Šต ๋ฐ์ดํ„ฐ ์„ธํŠธ ๊ตฌ์ถ•},
author={์ž„์˜์„œ, ์ถ”ํ˜„์ฐฝ, ๊น€์‚ฐ, ์žฅ์ง„์˜ˆ, ์ •๋ฏผ์˜, ์‹ ์‚ฌ์ž„},
booktitle={์ œ 35ํšŒ ํ•œ๊ธ€ ๋ฐ ํ•œ๊ตญ์–ด ์ •๋ณด์ฒ˜๋ฆฌ ํ•™์ˆ ๋Œ€ํšŒ},
pages={591--595},
year={2023}
}
@inproceedings{KITD,
title={Korean Instruction Tuning Dataset},
author={Yeongseo Lim, HyeonChang Chu, San Kim, Jin Yea Jang, Minyoung Jung, Saim Shin},
booktitle={Proceedings of the 35th Annual Conference on Human and Cognitive Language Technology},
pages={591--595},
year={2023}
}
```