首个面向印度保释判決的公开数据集，助力法律NLP研究
IndianBailJudgments-1200: A Multi-Attribute Dataset for Legal NLP on Indian Bail Orders
- 构建1200份印度保释判決的多属性标注数据集
- 涵盖20余项属性，支持判決结果预测等任务
- 适用于法律AI、司法公平性分析的研究者
由于缺乏结构化数据，印度地区的法律自然语言处理研究进展缓慢。我们提出了IndianBailJudgments-1200，一个包含1200份印度法院保释判决的基准数据集，涵盖保释结果、刑法条款（IPC）、罪名类型和法律推理等20多个属性。标注通过提示工程优化的GPT-4o管道生成，并进行了一致性验证。该资源支持判決结果预测、摘要生成和公平性分析等多种法律NLP任务，是首个专注于印度保释法理学的公开数据集。
原文摘要 · Abstract (English)
Legal NLP remains underdeveloped in regions like India due to the scarcity of structured datasets. We introduce IndianBailJudgments-1200, a new benchmark dataset comprising 1200 Indian court judgments on bail decisions, annotated across 20+ attributes including bail outcome, IPC sections, crime type, and legal reasoning. Annotations were generated using a prompt-engineered GPT-4o pipeline and verified for consistency. This resource supports a wide range of legal NLP tasks such as outcome prediction, summarization, and fairness analysis, and is the first publicly available dataset focused specifically on Indian bail jurisprudence.
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