mistral_medical_meadow_wikidoc_instruct_dataset

Dataset made for instruction supervised finetuning of Mistral LLMs based on the Medical meadow wikidoc dataset:

- Medical meadow wikidoc (https://huggingface.co/datasets/medalpaca/medical_meadow_wikidoc/blob/main/README.md)

## Medical meadow wikidoc

The Medical Meadow Wikidoc dataset comprises question-answer pairs sourced from WikiDoc, an online platform where medical professionals collaboratively contribute and share contemporary medical knowledge. WikiDoc features two primary sections: the "Living Textbook" and "Patient Information". The "Living Textbook" encompasses chapters across various medical specialties, from which we extracted content. Utilizing GTP-3.5-Turbo, the paragraph headings are transformed into questions and utilized the respective paragraphs as answers. Notably, the structure of "Patient Information" is distinct; each section's subheading already serves as a question, eliminating the necessity for rephrasing.

本数据集为基于医疗园地维基文档（Medical Meadow Wikidoc）数据集构建的、用于Mistral系列大语言模型（Large Language Model，LLM）指令监督微调的数据集，其原始数据集链接为：https://huggingface.co/datasets/medalpaca/medical_meadow_wikidoc/blob/main/README.md

## 医疗园地维基文档（Medical Meadow Wikidoc）
医疗园地维基文档数据集由来自WikiDoc的问答对构成。WikiDoc是一个由医疗专业人员协作贡献并分享当代医学知识的在线平台，设有两大核心板块："活教材（Living Textbook）"与"患者信息（Patient Information）"。
我们从覆盖各类医学专科的"活教材"各章节中提取内容，使用GPT-3.5-Turbo将段落标题转换为问题，并以对应段落作为答案。值得注意的是，"患者信息"板块的结构存在差异：其各分区的子标题本身已作为问题存在，无需进行重述改写。

搜集汇总

背景与挑战

背景概述

该数据集基于Medical meadow wikidoc构建，专为Mistral大语言模型的指令监督微调设计。数据源自WikiDoc平台的医疗专业文献，通过GPT-3.5-Turbo将段落标题转化为问题，并以对应段落作为答案，形成医疗领域的问答对。