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KorQuAD/squad_kor_v2

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Hugging Face2024-01-18 更新2024-06-15 收录
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资源简介:
--- annotations_creators: - crowdsourced language_creators: - found language: - ko license: - cc-by-nd-4.0 multilinguality: - monolingual size_categories: - 10K<n<100K source_datasets: - extended|squad_kor_v1 - original task_categories: - question-answering task_ids: - extractive-qa paperswithcode_id: null pretty_name: KorQuAD v2.1 dataset_info: features: - name: id dtype: string - name: title dtype: string - name: context dtype: string - name: question dtype: string - name: answer struct: - name: text dtype: string - name: answer_start dtype: int32 - name: html_answer_start dtype: int32 - name: url dtype: string - name: raw_html dtype: string config_name: squad_kor_v2 splits: - name: train num_bytes: 17983434492 num_examples: 83486 - name: validation num_bytes: 2230543100 num_examples: 10165 download_size: 1373763305 dataset_size: 20213977592 --- # Dataset Card for KorQuAD v2.1 ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - [**Homepage**](https://korquad.github.io/) - [**Repository**](https://github.com/korquad/korquad.github.io/tree/master/dataset) - [**Paper**](https://korquad.github.io/dataset/KorQuAD_2.0/KorQuAD_2.0_paper.pdf) ### Dataset Summary KorQuAD 2.0 is a Korean question and answering dataset consisting of a total of 100,000+ pairs. There are three major differences from KorQuAD 1.0, which is the standard Korean Q & A data. The first is that a given document is a whole Wikipedia page, not just one or two paragraphs. Second, because the document also contains tables and lists, it is necessary to understand the document structured with HTML tags. Finally, the answer can be a long text covering not only word or phrase units, but paragraphs, tables, and lists. ### Supported Tasks and Leaderboards `question-answering` ### Languages Korean ## Dataset Structure Follows the standart SQuAD format. There is only 1 answer per question ### Data Instances An example from the data set looks as follows: ```py {'answer': {'answer_start': 3873, 'html_answer_start': 16093, 'text': '20,890 표'}, 'context': '<!DOCTYPE html>\n<html>\n<head>\n<meta>\n<title>심규언 - 위키백과, 우리 모두의 백과사전</title>\n\n\n<link>\n.....[omitted]', 'id': '36615', 'question': '심규언은 17대 지방 선거에서 몇 표를 득표하였는가?', 'raw_html': '<!DOCTYPE html>\n<html c ...[omitted]', 'title': '심규언', 'url': 'https://ko.wikipedia.org/wiki/심규언'} ``` ### Data Fields ```py {'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='int32', id=None), 'html_answer_start': Value(dtype='int32', id=None)}, 'url': Value(dtype='string', id=None), 'raw_html': Value(dtype='string', id=None)} ``` ### Data Splits - Train : 83486 - Validation: 10165 ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data Wikipedia #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [CC BY-ND 2.0 KR](https://creativecommons.org/licenses/by-nd/2.0/kr/deed.en) ### 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={http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE09353166}} ``` ### Contributions Thanks to [@cceyda](https://github.com/cceyda) for adding this dataset.
提供机构:
KorQuAD
原始信息汇总

数据集概述

数据集描述

数据集摘要

KorQuAD 2.0 是一个包含超过 100,000 对韩语问答数据集。与 KorQuAD 1.0 相比,主要有三点不同:一是给定的文档是一个完整的维基百科页面,而不仅仅是一两个段落;二是文档包含表格和列表,需要理解带有 HTML 标签的结构化文档;三是答案可以是覆盖单词、短语、段落、表格和列表的长文本。

支持的任务和排行榜

  • question-answering

语言

  • 韩语

数据集结构

数据实例

数据集中的一个示例如下:

python {answer: {answer_start: 3873, html_answer_start: 16093, text: 20,890 표}, context: <!DOCTYPE html> <html> <head> <meta> <title>심규언 - 위키백과, 우리 모두의 백과사전</title>

<link> .....[omitted], id: 36615, question: 심규언은 17대 지방 선거에서 몇 표를 득표하였는가?, raw_html: <!DOCTYPE html> <html c ...[omitted], title: 심규언, url: https://ko.wikipedia.org/wiki/심규언}

数据字段

python {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=int32, id=None), html_answer_start: Value(dtype=int32, id=None)}, url: Value(dtype=string, id=None), raw_html: Value(dtype=string, id=None)}

数据分割

  • 训练集:83486
  • 验证集:10165

数据集创建

数据来源

  • 维基百科

其他信息

许可证信息

引用信息

plaintext @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={http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE09353166}}

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