awinml/legalbench-rag
LegalBench-RAG Dataset summary LegalBench-RAG is a retrieval benchmark for the legal domain. Each question points to one legal document, and the answer is one or more exact character spans of that document. A retriever must return the text that answers the question, not only the right document. The benchmark has 6,889 questions over 714 documents in four sources: Source Documents Questions What the documents are privacy_qa 7 194 Mobile app privacy… See the full description on the dataset page: https://huggingface.co/datasets/awinml/legalbench-rag.
| Author / organization | awinml |
|---|---|
| License (as declared) | other |
| Downloads | 5.8K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 28 September 2026 |
| Last updated at source | 28 September 2026 |
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