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CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain

2019-11-20 · Chaojun Xiao, Haoxi Zhong, Zhipeng Guo, Cunchao Tu, Zhiyuan Liu, Maosong Sun, Tianyang Zhang, Xianpei Han, Zhen Hu, Heng Wang, Jianfeng Xu

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.

📄 PDF Abstract BibTeX arXiv:1911.08962

Code (2)

china-ai-law-challenge/CAIL2019 공식 구현 tf
china-ai-law-challenge/CAIL2019/tree/master/scm 공식 구현 tf

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