cLegal-QA: a Chinese legal question answering with natural language generation methods by Yizhen Wang, Xueying Shen, Zixian Huang, Lihui Niu, Shiyan Ou

“…To address this, our study developed a comprehensive automatic question answering dataset for Chinese civil law, named cLegal-QA, which comprises 14,000 high-frequency questions from Chinese legal communities. This dataset spans various legal disputes and includes questions, disputes, scenarios, multiple lawyer responses, and gold-standard answers from human annotators. …”
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Research on Business Environment Risk Governance Based on Occupational Claims: 1784 Cases of Food Safety Disputes by Jiangjie Sun, Yufei Gao, Xueli Jiang, Yan Li, Mengyao Yang, Ziyan Zhao, Hangzhou Yang, Jinliang You

“…In this study, we collected 1784 cases of food occupational claims from the Chinese legal documents website. Using Excel, Review Manager 5.0 and SPSS 19.0, the number of cases prosecuted as “consumers” were obtained by means of textual analysis, and the development process was directly influenced by occupational claims, with 2017 as a great value point (watershed); the rate of losing occupational claim cases has been climbing since 2018; and the risk of losing occupational claims is higher than that of true meaningful consumer advocacy cases (Z = 6.99, p < 0.001), and in 2019, the risk of losing a case was 33.34 times higher than that of an ordinary consumer. …”
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