II-Medical SFT is a public medical reasoning dataset designed to support supervised fine-tuning of large language models (LLMs) for medical reasoning tasks. It contains multi-turn dialogues, clinical case scenarios, and question-answer pairs, reflecting the complex reasoning processes encountered in real-world clinical practice.

The dataset contains approximately 2.2 million samples, covering multi-source medical scenarios, meeting the needs of fine-tuning complex medical models, and aims to help the models develop key capabilities such as differential diagnosis, evidence-based decision-making, patient communication, and guideline-based treatment plans.