Hibbaan/indian-case-laws

Indian Case Laws数据集是一个开放的印度判例法数据集，专为AI应用、搜索和法律研究设计。该数据集是KanoonGPT开放法律数据计划的一部分，旨在使印度法律数据更易于访问、追踪和构建，以支持开源研究、法律技术和生产级AI系统。它覆盖了1950年至2026年（滚动更新，新判决持续添加）的时间范围，包括印度最高法院和25个高等法院的判决。数据集内容基于eCourts判决生态系统和AWS开放数据发布，经过标准化处理，包含结构化元数据（如当事人、引用、法院详情、日期等）和部分文本负载，以支持法律搜索、检索增强生成（RAG）管道、印度法律NLP基准测试、判例法分析等应用。数据集设计遵循AI就绪、结构化优先、可追溯至源头和质量透明等原则，并分为sample、structured和full三个变体发布。

Indian Case Laws dataset is an open Indian case-law data resource for AI, search, and legal research. It is part of the KanoonGPT Open Legal Data Initiative, which aims to make Indian legal data easier to access, trace, and build on for open-source research, legal tech, and production AI systems. The dataset covers a timeframe from 1950 to 2026 (rolling, with new judgments added continuously) and includes judgments from the Supreme Court of India and 25 High Courts. It is built from public Indian court judgment data sourced from the eCourts judgments ecosystem and mirrored through AWS Open Data releases. The dataset contains structured metadata (e.g., parties, citations, court details, dates) and, in some variants, judgment text payloads, designed for applications such as legal search and retrieval, citation-aware RAG pipelines, Indian legal NLP benchmarks, case-law analytics, and downstream model training. It is published in three variants (sample, structured, full) and emphasizes AI-readiness, structured formatting, traceability to source, and quality transparency.