jinulee-v/expert-rag-benchmarks

Expert RAG Benchmarks A unified collection of four expert-level legal RAG benchmarks, exposed as six named splits and three relational configurations: questions, documents, and qrels. The KCL split is named kcl_essay because Hugging Face split identifiers do not permit hyphens; its source name remains kcl-essay. Loading from datasets import load_dataset repo_id = "jinulee-v/expert-rag-benchmarks" questions = load_dataset(repo_id, "questions", split="housing")… See the full description on the dataset page: https://huggingface.co/datasets/jinulee-v/expert-rag-benchmarks.