Datasets:
Dataset Card for KorQuAD V2.1
Dataset Summary
KorQuAD 2.0 is a Korean question-answering dataset consisting of over 100,000 pairs. It differs from the previous standard dataset, KorQuAD 1.0, in three major ways. First, instead of being limited to one or two paragraphs, the given context consists of an entire Wikipedia page. Second, since the context may include tables and lists, it requires understanding of documents structured with HTML tags. Lastly, the answers are not limited to single words or phrases, but can span long sections such as entire paragraphs, tables, or lists.
Supported Tasks and Leaderboards
Supported Tasks: Question Answering
See the homepage for the leaderboard.
Languages
Korean
Dataset Structure
Data Instances
{
'answer': {
"text": "<table>\n<tbody><tr>\n<th colspan=\"3\"> [omitted]",
"html_answer_start": 114760,
"html_answer_text": "<table class=\"wikitable\" style=\"text-align:center\">\n<tbody>[omitted]",
"answer_start": 33018
},
'context': '<!DOCTYPE html>\n<html>\n<head>\n<meta>\n<title>파비오 칸나바로 - 위키백과, 우리 모두의 백과사전</title>\n\n\n<link>\n.....[omitted]',
'id': '28097',
'question': '칸나바로가 그의 조국을 위해 뛴 연도별 경기수와 골수는 어떻게 될까?',
'title': '파비오_칸나바로',
'url': 'https://ko.wikipedia.org/wiki/파비오_칸나바로'
}
Data Fields
{
'id': Value(dtype='string', id=None),
'title': Value(dtype='string', id=None),
'context': Value(dtype='string', id=None),
'question': Value(dtype='string', id=None),
'answer': {
'text': Value(dtype='string', id=None),
'answer_start': Value(dtype='int64', id=None),
'html_answer_start': Value(dtype='int64', id=None),
'html_answer_text': Value(dtype='string', id=None)},
'url': Value(dtype='string', id=None),
'raw_html': Value(dtype='string', id=None)
}
Data Splits
- Train : 83486
- Validation: 10165
Dataset Creation
See the paper
Additional Information
Dataset Curators
Authors crowd-sourced the annotators to build the dataset. See the paper for more information.
Licensing Information
The license is originally distributed with CC-BY-ND-2.0 License. We redistribute the data for the convenience of model evaluation. We are currently asking Authors for further plans if they will directly distribute the data on huggingface.
Citation Information
@article{NODE09353166,
author={Youngmin Kim,Seungyoung Lim;Hyunjeong Lee;Soyoon Park;Myungji Kim},
title={{KorQuAD 2.0: Korean QA Dataset for Web Document Machine Comprehension}},
booltitle={{Journal of KIISE 제47권 제6호}},
journal={{Journal of KIISE}},
volume={{47}},
issue={{6}},
publisher={The Korean Institute of Information Scientists and Engineers},
year={2020},
ISSN={{2383-630X}},
pages={577-586},
url={https://koreascience.kr/article/CFKO201930060807852.page}
}
Contact Information
If you find something wrong happened while we upload the dataset to huggingface hub, contact [email protected].
Otherwise, see the homepage.
Contributions
See the homepage for more information.
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