datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Supreme-Court-Cases-1830-2019
US Supreme Court Legal Corpus (1830–2019)
Overview
A comprehensive, production-ready AI training dataset containing 456,589 documents from 122,930 US Supreme Court cases spanning 190 years (1830–2019).
This corpus captures the full adversarial record — petitions for certiorari, respondent briefs, reply briefs, amicus curiae filings, appendices, oral argument transcripts, and opinions. It is one of the most complete collections of Supreme Court procedural and… See the full description on the dataset page: https://huggingface.co/datasets/OwnedByDanes/Supreme-Court-Cases-1830-2019.case-law-israel
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
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Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/guychuk/case-law-israel.Sherlock-Case-Files
Sherlock Case Files 📁
Sherlock Case Files is a synthetic multilingual dataset for schema-guided
information extraction. Each case asks a model to read a compact JSON schema and a text, then return exactly one JSON object matching that schema.
The dataset covers short snippets and long documents across varied domains and formats. It includes distractors and missing fields, represented by null, in English, Italian, Spanish, French, Portuguese, and German. Metadata supports… See the full description on the dataset page: https://huggingface.co/datasets/derogab/Sherlock-Case-Files.Caselaw_Access_Project_FAISS_index
The Caselaw Access Project
In collaboration with Ravel Law, Harvard Law Library digitized over 40 million U.S. court decisions consisting of 6.7 million cases from the last 360 years into a dataset that is widely accessible to use. Access a bulk download of the data through the Caselaw Access Project API (CAPAPI): https://case.law/caselaw/
Find more information about accessing state and federal written court decisions of common law through the bulk data service documentation here:… See the full description on the dataset page: https://huggingface.co/datasets/free-law/Caselaw_Access_Project_FAISS_index.japanese-legal-cases-2025Nevada_Caselaw_Access_Project
The Caselaw Access Project
In collaboration with Ravel Law, Harvard Law Library digitized over 40 million U.S. court decisions consisting of 6.7 million cases from the last 360 years into a dataset that is widely accessible to use. Access a bulk download of the data through the Caselaw Access Project API (CAPAPI): https://case.law/caselaw/
Find more information about accessing state and federal written court decisions of common law through the bulk data service documentation here:… See the full description on the dataset page: https://huggingface.co/datasets/free-law/Nevada_Caselaw_Access_Project.