nylxyqs/RAGCare-QA
RAGCare-QA: A Benchmark Dataset for Evaluating Retrieval-Augmented Generation Pipelines in Theoretical Medical Knowledge Overview RAGCare-QA is a comprehensive dataset comprising 420 theoretical medical knowledge questions designed for evaluating Retrieval-Augmented Generation (RAG) pipelines in medical education and assessment contexts. Each question is carefully annotated with its optimal RAG pipeline type, making this dataset uniquely valuable for developing… See the full description on the dataset page: https://huggingface.co/datasets/nylxyqs/RAGCare-QA.
| Author / organization | nylxyqs |
|---|---|
| Downloads | 177 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 5 October 2026 |
| Last updated at source | 5 October 2026 |
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