📄 中文摘要
CAIL2018是一个针对法律判决预测的大规模数据集，旨在推动法律领域的人工智能研究。该数据集包含来自中国法院的真实案例，涵盖多种法律问题和判决类型。通过提供丰富的文本数据和相应的判决结果，CAIL2018为研究人员和开发者提供了一个重要的资源，以便于训练和评估机器学习模型在法律判决预测任务中的表现。数据集的构建过程遵循严格的标准，确保了数据的质量和多样性，能够有效支持相关的算法研究和应用开发。
CAIL2018：一个大规模法律判决预测数据集
出处: CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction
发布: 2026年2月26日
📄 English Summary
CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction
CAIL2018 is a large-scale dataset designed for judgment prediction in the legal domain, aimed at advancing artificial intelligence research in law. It comprises real cases from Chinese courts, covering various legal issues and types of judgments. By providing rich textual data along with corresponding judgment outcomes, CAIL2018 serves as a vital resource for researchers and developers to train and evaluate machine learning models for legal judgment prediction tasks. The dataset is constructed following stringent standards to ensure data quality and diversity, effectively supporting related algorithm research and application development.