CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain
It provides a new benchmark for legal AI research, addressing case similarity detection in the Chinese legal domain.
The paper introduces CAIL2019-SCM, a dataset of 8,964 triplets of legal cases from China for similar case matching, with the best competition score reaching 71.88.
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.