This repository contains the ReMeDi-ATMD dataset used in our paper:
Experience is the Teacher: Reusing Atomic Thoughts from LLMs to Improve Medical Dialogue
ACL Findings 2026
ReMeDi-ATMD is a Chinese medical dialogue instruction-tuning dataset constructed for improving multi-turn medical dialogue generation with reusable Atomic Thoughts. Each sample contains a medical dialogue context, the current patient utterance, and a doctor response with an explicit reasoning… See the full description on the dataset page:
https://huggingface.co/datasets/VioletAmethyst/ReMeDi-ATMD.
