{"id":13595366,"url":"https://github.com/ymcui/cmrc2018","last_synced_at":"2025-04-05T22:05:26.645Z","repository":{"id":38359853,"uuid":"116198940","full_name":"ymcui/cmrc2018","owner":"ymcui","description":"A Span-Extraction Dataset for Chinese Machine Reading Comprehension  (CMRC 2018)","archived":false,"fork":false,"pushed_at":"2022-06-15T01:04:26.000Z","size":6479,"stargazers_count":427,"open_issues_count":9,"forks_count":87,"subscribers_count":11,"default_branch":"master","last_synced_at":"2025-03-29T21:04:47.642Z","etag":null,"topics":["bert","natural-language-processing","question-answering","reading-comprehension"],"latest_commit_sha":null,"homepage":"https://ymcui.github.io/cmrc2018/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc-by-sa-4.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ymcui.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2018-01-04T01:20:52.000Z","updated_at":"2025-03-18T01:54:45.000Z","dependencies_parsed_at":"2022-08-25T02:42:08.603Z","dependency_job_id":null,"html_url":"https://github.com/ymcui/cmrc2018","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ymcui%2Fcmrc2018","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ymcui%2Fcmrc2018/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ymcui%2Fcmrc2018/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ymcui%2Fcmrc2018/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ymcui","download_url":"https://codeload.github.com/ymcui/cmrc2018/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247406085,"owners_count":20933803,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["bert","natural-language-processing","question-answering","reading-comprehension"],"created_at":"2024-08-01T16:01:48.715Z","updated_at":"2025-04-05T22:05:26.627Z","avatar_url":"https://github.com/ymcui.png","language":"Python","funding_links":[],"categories":["Python","Contents 列表","Uncategorized"],"sub_categories":["综合内容","Uncategorized"],"readme":"[**中文说明**](./README_CN.md) | [**English**](./README.md)\n\n\u003cp align=\"center\"\u003e\n    \u003cbr\u003e\n    \u003cimg src=\"./banner.png\" width=\"500\"/\u003e\n    \u003cbr\u003e\n\u003c/p\u003e\n\u003cp align=\"center\"\u003e\n    \u003ca href=\"https://github.com/ymcui/cmrc2018/blob/master/LICENSE\"\u003e\n        \u003cimg alt=\"GitHub\" src=\"https://img.shields.io/github/license/ymcui/cmrc2018.svg?color=blue\u0026style=flat-square\"\u003e\n    \u003c/a\u003e\n\u003c/p\u003e\n\nThis repository contains the data for [The Second Evaluation Workshop on Chinese Machine Reading Comprehension (CMRC 2018)](https://hfl-rc.github.io/cmrc2018/). We will present our paper on [EMNLP 2019](http://emnlp-ijcnlp2019.org).\n\n**Title: A Span-Extraction Dataset for Chinese Machine Reading Comprehension**    \nAuthors: Yiming Cui, Ting Liu, Wanxiang Che, Li Xiao, Zhipeng Chen, Wentao Ma, Shijin Wang, Guoping Hu   \nLink: [https://www.aclweb.org/anthology/D19-1600/](https://www.aclweb.org/anthology/D19-1600/)  \nVenue: EMNLP-IJCNLP 2019\n\n### Open Challenge Leaderboard (New!)\nKeep track of the latest state-of-the-art systems on CMRC 2018 dataset.  \n[https://ymcui.github.io/cmrc2018/](https://ymcui.github.io/cmrc2018/)\n\n### CMRC 2018 Public Datasets\nPlease download CMRC 2018 public datasets via the following CodaLab Worksheet.  \n[https://worksheets.codalab.org/worksheets/0x92a80d2fab4b4f79a2b4064f7ddca9ce](https://worksheets.codalab.org/worksheets/0x92a80d2fab4b4f79a2b4064f7ddca9ce)\n\n### Submission Guidelines\nIf you would like to **test your model on the hidden test and challenge set**, please follow the instructions on how to submit your model via CodaLab worksheet.  \n[https://worksheets.codalab.org/worksheets/0x96f61ee5e9914aee8b54bd11e66ec647/](https://worksheets.codalab.org/worksheets/0x96f61ee5e9914aee8b54bd11e66ec647/)\n\n**Note that the test set on [CLUE](https://github.com/CLUEbenchmark/CLUE) is NOT the complete test set. If you wish to evaluate your model OFFICIALLY on CMRC 2018, you should follow the guidelines here.  **\n\n### Quick Load Through 🤗datasets\nYou can also access this dataset as part of the [HuggingFace `datasets` library](https://github.com/huggingface/datasets) library as follow:\n\n```python\n!pip install datasets\nfrom datasets import load_dataset\ndataset = load_dataset('cmrc2018')\n```\nMore details on the options and usage for this library can be found on the `nlp` repository at https://github.com/huggingface/nlp\n\n### Reference\nIf you wish to use our data in your research, please cite:\n\n```\n@inproceedings{cui-emnlp2019-cmrc2018,\n    title = \"A Span-Extraction Dataset for {C}hinese Machine Reading Comprehension\",\n    author = \"Cui, Yiming  and\n      Liu, Ting  and\n      Che, Wanxiang  and\n      Xiao, Li  and\n      Chen, Zhipeng  and\n      Ma, Wentao  and\n      Wang, Shijin  and\n      Hu, Guoping\",\n    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)\",\n    month = nov,\n    year = \"2019\",\n    address = \"Hong Kong, China\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://www.aclweb.org/anthology/D19-1600\",\n    doi = \"10.18653/v1/D19-1600\",\n    pages = \"5886--5891\",\n}\n```\n### International Standard Language Resource Number (ISLRN)\nISLRN: 013-662-947-043-2\n\nhttp://www.islrn.org/resources/resources_info/7952/\n\n### Official HFL WeChat Account\nFollow Joint Laboratory of HIT and iFLYTEK Research (HFL) on WeChat.\n\n![qrcode.png](./qrcode.jpg)\n\n### Contact us\nPlease submit an issue.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fymcui%2Fcmrc2018","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fymcui%2Fcmrc2018","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fymcui%2Fcmrc2018/lists"}