# Dataset Card for "KLUE_mrc_negative_train"

KLUE mrc train dataset에 BM25을 이용해서 question에 대한 hard negative text 20개를 추가한 데이터입니다.

BM25로 hard negative text를 찾았고, preprocessing을 통해 중복 데이터를 최대한 삭제했습니다.

사용한 BM25의 정보는 아래와 같습니다.

|top-k|top-10|top-20|top-50|top-100|
|-|-|-|-|-|
|accuracy(%)|92.1|95.0|97.1|98.8|


# Citation
```
@misc{park2021klue,
      title={KLUE: Korean Language Understanding Evaluation}, 
      author={Sungjoon Park and Jihyung Moon and Sungdong Kim and Won Ik Cho and Jiyoon Han and Jangwon Park and Chisung Song and Junseong Kim and Yongsook Song and Taehwan Oh and Joohong Lee and Juhyun Oh and Sungwon Lyu and Younghoon Jeong and Inkwon Lee and Sangwoo Seo and Dongjun Lee and Hyunwoo Kim and Myeonghwa Lee and Seongbo Jang and Seungwon Do and Sunkyoung Kim and Kyungtae Lim and Jongwon Lee and Kyumin Park and Jamin Shin and Seonghyun Kim and Lucy Park and Alice Oh and Jungwoo Ha and Kyunghyun Cho},
      year={2021},
      eprint={2105.09680},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
```

task_categories:question-answering language:ko license:cc-by-4.0 arxiv:2105.09680 region:us
{"language": ["ko"], "license": "cc-by-4.0", "task_categories": ["question-answering"], "dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "id", "dtype": "string"}, {"name": "answers", "struct": [{"name": "answer_start", "sequence": "int64"}, {"name": "text", "sequence": "string"}]}, {"name": "document_id", "dtype": "int64"}, {"name": "hard_negative_text", "sequence": "string"}, {"name": "hard_negative_document_id", "sequence": "int64"}, {"name": "hard_negative_title", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 205021808, "num_examples": 3952}, {"name": "validation", "num_bytes": 12329366, "num_examples": 240}], "download_size": 124133126, "dataset_size": 217351174}}
TAGS
#task_categories-question-answering #language-Korean #license-cc-by-4.0 #arxiv-2105.09680 #region-us 

Dataset Card for "KLUE\_mrc\_negative\_train"
=============================================


KLUE mrc train dataset에 BM25을 이용해서 question에 대한 hard negative text 20개를 추가한 데이터입니다.


BM25로 hard negative text를 찾았고, preprocessing을 통해 중복 데이터를 최대한 삭제했습니다.


사용한 BM25의 정보는 아래와 같습니다.




TAGS
#task_categories-question-answering #language-Korean #license-cc-by-4.0 #arxiv-2105.09680 #region-us 

passage: TAGS
#task_categories-question-answering #language-Korean #license-cc-by-4.0 #arxiv-2105.09680 #region-us 
