Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Sub-tasks:
extractive-qa
Languages:
Chinese
Size:
10K - 100K
License:
Update files from the datasets library (from 1.3.0)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.3.0
README.md
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---
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---
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# Dataset Card for "cmrc2018"
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks](#supported-tasks)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits Sample Size](#data-splits-sample-size)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## [Dataset Description](#dataset-description)
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- **Homepage:** [https://github.com/ymcui/cmrc2018](https://github.com/ymcui/cmrc2018)
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- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Size of downloaded dataset files:** 10.97 MB
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- **Size of the generated dataset:** 21.28 MB
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- **Total amount of disk used:** 32.26 MB
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### [Dataset Summary](#dataset-summary)
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A Span-Extraction dataset for Chinese machine reading comprehension to add language
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diversities in this area. The dataset is composed by near 20,000 real questions annotated
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on Wikipedia paragraphs by human experts. We also annotated a challenge set which
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contains the questions that need comprehensive understanding and multi-sentence
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inference throughout the context.
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### [Supported Tasks](#supported-tasks)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Languages](#languages)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## [Dataset Structure](#dataset-structure)
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We show detailed information for up to 5 configurations of the dataset.
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### [Data Instances](#data-instances)
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#### default
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- **Size of downloaded dataset files:** 10.97 MB
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- **Size of the generated dataset:** 21.28 MB
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- **Total amount of disk used:** 32.26 MB
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An example of 'validation' looks as follows.
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```
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This example was too long and was cropped:
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{
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"answers": {
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"answer_start": [11, 11],
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"text": ["光荣和ω-force", "光荣和ω-force"]
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},
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"context": "\"《战国无双3》()是由光荣和ω-force开发的战国无双系列的正统第三续作。本作以三大故事为主轴,分别是以武田信玄等人为主的《关东三国志》,织田信长等人为主的《战国三杰》,石田三成等人为主的《关原的年轻武者》,丰富游戏内的剧情。此部份专门介绍角色,欲知武...",
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"id": "DEV_0_QUERY_0",
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"question": "《战国无双3》是由哪两个公司合作开发的?"
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}
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```
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### [Data Fields](#data-fields)
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The data fields are the same among all splits.
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#### default
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- `id`: a `string` feature.
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- `context`: a `string` feature.
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- `question`: a `string` feature.
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- `answers`: a dictionary feature containing:
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- `text`: a `string` feature.
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- `answer_start`: a `int32` feature.
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### [Data Splits Sample Size](#data-splits-sample-size)
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| name |train|validation|test|
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|-------|----:|---------:|---:|
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|default|10142| 3219|1002|
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## [Dataset Creation](#dataset-creation)
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### [Curation Rationale](#curation-rationale)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Source Data](#source-data)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Annotations](#annotations)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Personal and Sensitive Information](#personal-and-sensitive-information)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## [Considerations for Using the Data](#considerations-for-using-the-data)
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### [Social Impact of Dataset](#social-impact-of-dataset)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Discussion of Biases](#discussion-of-biases)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Other Known Limitations](#other-known-limitations)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## [Additional Information](#additional-information)
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### [Dataset Curators](#dataset-curators)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Licensing Information](#licensing-information)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Citation Information](#citation-information)
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```
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@inproceedings{cui-emnlp2019-cmrc2018,
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title = "A Span-Extraction Dataset for {C}hinese Machine Reading Comprehension",
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author = "Cui, Yiming and
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Liu, Ting and
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Che, Wanxiang and
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Xiao, Li and
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Chen, Zhipeng and
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Ma, Wentao and
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Wang, Shijin and
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Hu, Guoping",
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booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
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month = nov,
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year = "2019",
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address = "Hong Kong, China",
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publisher = "Association for Computational Linguistics",
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url = "https://www.aclweb.org/anthology/D19-1600",
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doi = "10.18653/v1/D19-1600",
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pages = "5886--5891",
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}
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```
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### Contributions
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Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten), [@mariamabarham](https://github.com/mariamabarham), [@lewtun](https://github.com/lewtun), [@thomwolf](https://github.com/thomwolf) for adding this dataset.
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