{"id":13595360,"url":"https://github.com/ymcui/cmrc2019","last_synced_at":"2025-09-20T10:32:32.354Z","repository":{"id":38348551,"uuid":"156786918","full_name":"ymcui/cmrc2019","owner":"ymcui","description":"A Sentence Cloze Dataset for Chinese Machine Reading Comprehension (CMRC 2019)","archived":false,"fork":false,"pushed_at":"2022-10-24T18:14:07.000Z","size":10837,"stargazers_count":126,"open_issues_count":1,"forks_count":32,"subscribers_count":10,"default_branch":"master","last_synced_at":"2025-01-09T17:00:47.033Z","etag":null,"topics":["bert","natural-language-processing","question-answering","reading-comprehension"],"latest_commit_sha":null,"homepage":"https://ymcui.github.io/cmrc2019/","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":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2018-11-09T00:28:24.000Z","updated_at":"2024-09-29T08:36:21.000Z","dependencies_parsed_at":"2023-01-19T15:47:51.975Z","dependency_job_id":null,"html_url":"https://github.com/ymcui/cmrc2019","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%2Fcmrc2019","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ymcui%2Fcmrc2019/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ymcui%2Fcmrc2019/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ymcui%2Fcmrc2019/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ymcui","download_url":"https://codeload.github.com/ymcui/cmrc2019/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":233655316,"owners_count":18709257,"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":"2024-08-01T16:01:48.539Z","updated_at":"2025-09-20T10:32:25.253Z","avatar_url":"https://github.com/ymcui.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"\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/cmrc2019/blob/master/LICENSE\"\u003e\n        \u003cimg alt=\"GitHub\" src=\"https://img.shields.io/github/license/ymcui/cmrc2019.svg?color=blue\u0026style=flat-square\"\u003e\n    \u003c/a\u003e\n\u003c/p\u003e\n\nThis repository contains the data for [The Third Evaluation Workshop on Chinese Machine Reading Comprehension (CMRC 2019)](https://hfl-rc.github.io/cmrc2019/). We will present our paper at [COLING 2020](https://coling2020.org),\n\n**Title: A Sentence Cloze Dataset for Chinese Machine Reading Comprehension**  \nAuthors: Yiming Cui, Ting Liu, Ziqing Yang, Zhipeng Chen, Wentao Ma, Wanxiang Che, Shijin Wang, Guoping Hu  \nLink: https://arxiv.org/abs/2004.03116  \nVenue: COLING 2020  \n\n### Open Challenge Leaderboard (New!)\n\nKeep track of the latest state-of-the-art systems on CMRC 2019 dataset.\nhttps://ymcui.github.io/cmrc2019/\n\n### Submission Guidelines\n\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.\nhttps://worksheets.codalab.org/worksheets/0xe856b40d21de45bf898cd1d3c5135afe\n\n\n### Directory Guide\n\n- baseline: a Chinese BERT-based simple baseline system\n\n- eval: contains official evaluation script\n\n- data: contains offical evaluation data\n\n- sample_submission: sample submission for codalab competition platform (`trial_rand_submission.zip` is a randomly generated prediction file, `trial_submission.zip` is the BERT baseline prediction file)\n\n\n### Baseline System\n\nWe provide a BERT-based baseline system for participants (check *baseline* directory for more info).\n\nResults on other sets will be annouced later.\n\n\u003e QAC: Question-Level Accuracy\n\n\u003e PAC: Passage-Level Accuracy\n\n| Data | Passage # | Query # | QAC | PAC | Fake Candidates | Availability |\n| :------ | :-----: | :-----: | :-----: | :-----: | :-----: | :----- |\n| Trial Data | 139 | 1,504 | 71.941% | 28.776% | No | Public |\n| Train Data | 9,638 | 100,009 | N/A | N/A | No | Public |\n| Development Data | 300 | 3,053 | 70.586% | 13.333% | **Yes** | Public |\n| Qualifying Data | 500 | 5,081 | 70.01% | 8.20% | **Yes** | Semi-Hidden |\n| Test Data | - | - |  - | - | **Yes** | Hidden |\n\n## International Standard Language Resource Number (ISLRN)\n\nISLRN: 813-010-842-493-2\n\nhttp://www.islrn.org/resources/resources_info/8624/\n\n\n### Reference\n\nIf you wish to use our data in your research, please cite our [paper](https://arxiv.org/abs/2004.03116):\n```\n@inproceeding={cui-etal-2020-cmrc2019,\n  title={A Sentence Cloze Dataset for Chinese Machine Reading Comprehension},\n  author={Cui, Yiming and Liu, Ting and Yang, Ziqing and Chen, Zhipeng and Ma, Wentao and Che, Wanxiang and Wang, Shijin and Hu, Guoping},\n  booktitle = \t\"Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020)\",\n  year={2020}\n}\n```\n\n\n### Organization Committee\nHost: Chinese Information Processing Society of China (CIPS)  \nOrganizer: Joint Laboratory of HIT and iFLYTEK Research (HFL)  \nSponsor: iFLYTEK Co., Ltd. and iFLYTEK Research (Hebei)  \n\n### Evaluation Co-Chairs\nTing Liu, Harbin Institute of Technology  \nYiming Cui, Joint Laboratory of HIT and iFLYTEK Research\n\n\n### Official HFL WeChat Account\nFollow Joint Laboratory of HIT and iFLYTEK Research (HFL) on WeChat.\n\n![qrcode.png](https://github.com/ymcui/cmrc2019/raw/master/qrcode.jpg)\n\n\n### Contact us\nAny problems? Feel free to concat us.  \nEmail: **[cmrc2019 [aT] 126 [DoT] com](mailto:cmrc2019@126.com)**  \nForum: [CodaLab Competition Forum](https://competitions.codalab.org/forums/19781/)  \nCMRC 2019 Official Website (中文)：[https://cmrc2019.hfl-rc.com/](https://hfl-rc.github.io/cmrc2019/)  \nCMRC 2019 Official Website (English)：[https://cmrc2019.hfl-rc.com/english/](https://hfl-rc.github.io/cmrc2019/english/)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fymcui%2Fcmrc2019","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fymcui%2Fcmrc2019","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fymcui%2Fcmrc2019/lists"}