Legal Argument Generation Cases
收藏arXiv2025-09-30 收录
下载链接：
https://lizhang-aiandlaw.github.io/A-Reflective-Multi-Agent-Approach-for-Legal-Argument-Generation/
下载链接
链接失效反馈官方服务：
资源简介：
该数据集包含了一套标准化的26个法律因素，这些因素源自美国商业秘密盗用法律，并用于在各种场景中生成三层法律论证。此外，该数据集通过利用结构化的因素表示，使得能够生成论点，并便于对论点的有效性进行客观评估。该数据集的规模包括三种场景（可辩论、不匹配、不可辩论）每种场景各90个案例三联体。其任务是法律论证生成。
This dataset contains a standardized set of 26 legal factors derived from U.S. trade secret misappropriation law, which are utilized to generate three-tier legal arguments across diverse scenarios. Furthermore, by adopting structured factor representations, this dataset enables the generation of legal arguments and facilitates the objective assessment of argument validity. The dataset consists of 90 case triplets for each of the three scenarios: debatable, mismatched, and non-debatable. The core task supported by this dataset is legal argument generation.
提供机构：
Not explicitly mentioned
