llama2_medical_meadow_wikidoc_instruct_dataset

Dataset made for instruction supervised finetuning of Llama 2 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.本数据集基于医学草地维基文档数据集（Medical Meadow Wikidoc）构建，用于Llama 2大语言模型（LLMs）的指令监督微调： - 医学草地维基文档数据集（Medical Meadow Wikidoc）：https://huggingface.co/datasets/medalpaca/medical_meadow_wikidoc/blob/main/README.md ## 医学草地维基文档数据集（Medical Meadow Wikidoc） 该数据集的样本均为问答对，数据源自WikiDoc——一个由医学专业人员协作贡献并分享现代医学知识的在线平台。WikiDoc包含两大核心板块：「活态教科书」（Living Textbook）与「患者信息」（Patient Information）。其中「活态教科书」板块涵盖了各医学专科的章节内容，我们从中提取了所需数据；我们通过GTP-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：其每个小节的子标题本身即为问题，无需额外进行句式改写。

搜集汇总

背景与挑战

背景概述

该数据集专为Llama 2大语言模型的指令监督微调设计，基于Medical Meadow Wikidoc数据集构建。它包含从WikiDoc平台提取的医疗问答对，涵盖'Living Textbook'和'Patient Information'部分，问题通过GPT-3.5-Turbo生成或直接采用子标题形式。