{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/cail2019-scm-a-dataset-of-similar-case","title":"CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain","arxiv_id":"1911.08962","date":"2019-11-20","proceeding":null,"authors":["Chaojun Xiao","Haoxi Zhong","Zhipeng Guo","Cunchao Tu","Zhiyuan Liu","Maosong Sun","Tianyang Zhang","Xianpei Han","Zhen Hu","Heng Wang","Jianfeng Xu"],"abstract":"In this paper, we introduce CAIL2019-SCM, Chinese AI and Law 2019 Similar Case Matching dataset. CAIL2019-SCM contains 8,964 triplets of cases published by the Supreme People's Court of China. CAIL2019-SCM focuses on detecting similar cases, and the participants are required to check which two cases are more similar in the triplets. There are 711 teams who participated in this year's competition, and the best team has reached a score of 71.88. We have also implemented several baselines to help researchers better understand this task. The dataset and more details can be found from https://github.com/china-ai-law-challenge/CAIL2019/tree/master/scm.","url_abs":"https://arxiv.org/abs/1911.08962v3","url_pdf":"https://arxiv.org/pdf/1911.08962v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"cail2019-scm-a-dataset-of-similar-case","repo_url":"https://github.com/china-ai-law-challenge/CAIL2019","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"tf","reach":null},{"paper_slug":"cail2019-scm-a-dataset-of-similar-case","repo_url":"https://github.com/china-ai-law-challenge/CAIL2019/tree/master/scm","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"traffic-object-detection","task_name":"Traffic Object Detection"}],"methods":[],"datasets_introduced":[{"slug":"cail2019-scm","name":"CAIL2019-SCM","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1911.08962","atlas_url":"https://app.syntology.ai/?focus=1911.08962","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}