---
pretty_name: QUAREL
license:
- cc-by-4.0
language:
- ko
dataset_info:
  features:
  - name: data_index_by_user
    dtype: int32
  - name: answer_index
    dtype: int32
  - name: logical_forms
    sequence: string
  - name: logical_form_pretty
    dtype: string
  - name: world_literals
    struct:
    - name: world1
      sequence: string
    - name: world2
      sequence: string
  - name: question
    dtype: string
  splits:
  - name: train
    num_bytes: 1151125
    num_examples: 1941
  - name: validation
    num_bytes: 166067
    num_examples: 278
  - name: test
    num_bytes: 331246
    num_examples: 552
  download_size: 593900
  dataset_size: 1648438
---
# Dataset Card for Quarel

## Licensing Information

The data is distributed under the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license.

## Source Data Citation INformation

```
@inproceedings{quarel_v1,
    title={QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships},
    author={Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal},
    year={2018},
    journal={arXiv:1805.05377v1}
}
```
## Citation Information

```
@inproceedings{KITD,
  title={언어 번역 모델을 통한 한국어 지시 학습 데이터 세트 구축},
  author={임영서, 추현창, 김산, 장진예, 정민영, 신사임},
  booktitle={제 35회 한글 및 한국어 정보처리 학술대회},
  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}
}
```