lingshu-medical-mllm/ReasonMed
ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning 📄 Paper | 💻 Code | 📊 Dataset ReasonMed is the largest open-source medical reasoning dataset to date, containing 370 K high-quality question–answer examples with multi-step chain-of-thought (CoT) rationales and concise summaries. We distilled these from 1.75 M initial reasoning paths generated by three competitive large-language models (Qwen-2.5-72B… See the full description on the dataset page: https://huggingface.co/datasets/lingshu-medical-mllm/ReasonMed.
| Author / organization | lingshu-medical-mllm |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 363 (as reported by Hugging Face) |
| Likes | 96 |
| Created | 10 June 2025 |
| Last updated at source | 24 June 2025 |
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Connected in the knowledge graph
- mradermacher/LlamaMed-3.1-8B-Reasoner-i1-GGUFModel · used to train
- mradermacher/Sanad-1.0-GGUFModel · used to train
- mradermacher/Sanad-1.0-i1-GGUFModel · used to train
- mradermacher/LlamaMed-3.1-8B-Reasoner-GGUFModel · used to train
Recent changes
- 17 Oct 2026 Description: ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning 📄 Paper | 💻 Code | 📊 Dataset ReasonMed is the largest open-source medical reasoning dataset to date, containing 370 K high-quality question–answer examples w → ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning 📄 Paper | 💻 Code | 📊 Dataset ReasonMed is the largest open-source medical reasoning dataset to date, containing 370 K high-quality qu
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