EPFLiGHT/fully-open-meditron

Fully Open Meditron Corpus 是一个用于医疗大语言模型的临床医生审核训练语料库，随论文《Fully Open Meditron: An Auditable Pipeline for Clinical LLMs》发布。该语料库结合了八个聚合的公开医疗问答数据集和三个临床医生审核的合成组件，总计约601k个示例（约1.5亿个词元）。它旨在支持临床决策支持和医疗问答的大语言模型监督微调，并确保数据来源、生成提示和去污染的完全透明。

A clinician-vetted training corpus for medical large language models, accompanying the paper *Fully Open Meditron: An Auditable Pipeline for Clinical LLMs*. The corpus combines eight aggregated public medical QA datasets with three clinician-vetted synthetic components, totaling approximately 601k examples (~150M tokens). It is designed to support supervised fine-tuning of large language models for clinical decision support and medical question answering, with full transparency over data provenance, generation prompts, and decontamination.