医疗大模型预训练数据集

本次预训练数据集旨在为医疗领域的语言模型提供一个具有结构化、有序化、标准化和标识化的训练基础，以提升模型在医疗诊断准确度、患者护理水平和医疗效率等方面的表现。通过在大规模医疗文本数据上进行预训练，该模型可以更好地理解医疗领域的特定文本，并为医疗相关的问题提供有用的解答和指导。

This pretraining dataset aims to provide a structured, ordered, standardized and annotated training foundation for language models in the medical domain, so as to enhance the model's performance in aspects such as medical diagnostic accuracy, patient care quality and healthcare efficiency. By pretraining on large-scale medical text corpora, the model can better comprehend domain-specific medical texts and provide valuable answers and guidance for medical-related queries.