Jul 4, 2018 · In this paper, we introduce the \textbf {C}hinese \textbf {AI} and \textbf {L}aw challenge dataset (CAIL2018), the first large-scale Chinese legal dataset for judgment prediction. \dataset contains more than 2.6 million criminal cases published by the Supreme People's Court of China, which are several times larger than other datasets in existing...

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为了促进法律智能相关技术的发展，在最高人民法院信息中心、共青团中央青年发展部的指导下，中国司法大数据研究院、中国中文信息学会、中电科系统团委联合清华大学、北京大学、中 …

CAIL 2022一共设置了八个任务，分别为： 司法考试 、 事件检测 、 文书校对 、 类案检索 、 涉法舆情摘要 、 论辩理解 、 信息抽取 、 可解释类案匹配，同时将提供海量司法文书数据作为数据集。 该赛道由清华大学自然语言处理与社会人文计算实验室与北京幂律智能科技有限责任公司承办。 司法考试作为我国最难的考试，也是法律工作者生涯中极其重要的考试，其难度以及淘汰率都是有目共睹的。 因此，本任务是针对司法考试的问答提出的任务。 该任务要求给定问题及选项后 …

Mar 6, 2024 · In this paper, we introduce the C hinese AI and L aw challenge dataset (CAIL2018), the first large-scale Chinese legal dataset for judgment prediction. CAIL2018 contains more than 2.6 million criminal cases published by the Supreme People’s Court of China, which are several times larger than other datasets in existing works on judgment prediction.

The Chinese AI and Law challenge (CAIL) dataset (Xiao et al., 2018) is a Chinese legal NLP dataset for judgment prediction and contains over 1m criminal cases. The dataset provides labels for relevant article of criminal code prediction, charge (type of crime) prediction, imprisonment term (period) prediction, and monetary penalty prediction.

Nov 2, 2022 · Provide a dataset of charges, law articles and prison terms used in Chinese criminal cases. To facilitate further research in the field of legal judgment prediction. Each datapoint consists of a case description and three target attributes (labels) the law article cited, charges, and the prison term.

CAIL software is integrated into Reflection (from Rocket) for an Enterprise Client Solution with all platforms (ie: NonStop, Mainframe, Midrange, and UNIX / Linux systems) for Host Access, …

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CAIL2020一共设置了四个任务，分别为： 阅读理解 、 司法摘要 、 司法考试 、 论辩挖掘，同时将提供海量司法文书数据作为数据集. 本任务技术评测训练集包括两部分，一部分为去年的CJRC训练集. 一部分为重新标注的约5100个问答对，其中民事、刑事、行政各约1700个问答对，均为需要多步推理的问题类型。 验证集和测试集各分别约为1900和2600个问答对，同样均为需要多步推理的问题类型。 第一阶段多步推理数据仅提供民事的一部分数据，规模较小，选手可充分利 …