数据资源Chinese medical instruction and dialogue textChinese medical instruction-tuning datasetAbout 140K medical SFT examples; see Hugging Face card开放访问 HuatuoGPT2-SFT-GPT4-140K 医学指令数据集
HuatuoGPT2-SFT-GPT4-140K is a Chinese medical supervised fine-tuning dataset containing medical instruction-style conversations and GPT-4-assisted responses. It is useful for Chinese medical assistant alignment and medical LLM instruction tuning.
数据资源Chinese medical question-answer textChinese medical QA corpusAbout 26 million medical QA pairs开放访问 Huatuo-26M:大规模中文医学问答数据集
Huatuo-26M is a large-scale Chinese medical question-answering dataset with about 26 million QA pairs collected for medical language modeling and medical dialogue research. It is suitable for Chinese medical LLM pretraining, fine-tuning, and QA system development.
数据资源medical exam question-answer textmedical exam QA benchmarkUSMLE, Mainland China, and Taiwan exam-style QA splits; see repository开放访问 MedQA:含美国、中国大陆与台湾拆分的医学考试问答数据集
MedQA is a medical examination question answering benchmark with English and Chinese medical licensing-style question sets, including mainland China and Taiwan variants. It is widely used for medical QA and medical reasoning evaluation.
数据资源Chinese medical exam and QA textChinese medical LLM evaluation benchmarkMultiple Chinese medical exam and benchmark splits; see Hugging Face card开放访问 CMB:中文医学基准
CMB is a comprehensive Chinese medical benchmark for evaluating medical large language models on medical exams, reasoning, and clinical knowledge questions. It is suited for Chinese medical QA, LLM evaluation, and instruction-following assessment.
数据资源TextLLM benchmarkBenchmark and leaderboard开放访问 MedHELM 医学 LLM 评测基准
Medical LLM benchmark and leaderboard intended to broaden coverage beyond single medical QA datasets.
数据资源Text and medical imagesModelMedGemma / MedSigLIP model family开放访问 MedGemma / MedSigLIP 医学 AI 模型
Google Health AI Developer Foundations open model resources for medical text and medical image understanding, including MedGemma 1.5 resources.