ChatMED-Project/RAGCare-QA
收藏Hugging Face2025-06-19 更新2025-11-01 收录
下载链接：
https://hf-mirror.com/datasets/ChatMED-Project/RAGCare-QA
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资源简介：
RAGCare-QA是一个全面的医学教育评估数据集，包含420个理论医学知识问题，旨在评估医学教育和评估环境中的检索增强生成(RAG)管道。每个问题都精心标注了其最佳RAG管道类型，使得该数据集对于开发和基准测试医学AI系统具有独特的价值。
RAGCare-QA is a comprehensive dataset of 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 and benchmarking medical AI systems.
提供机构：
ChatMED-Project
