HPAI-BSC/medmcqa-cot-llama31

该数据集是对MedMCQA数据集的增强版本，通过使用Llama-3.1-70B-Instruct模型生成思维链（Chain of Thought, CoT）答案来提高答案质量。数据集的创建过程中，模型被要求重新表述和解释问题，解释每个选项，并总结这些解释以得出最终答案。数据集的目的是提供一个高质量、易于使用的指令调优数据集，基于MedQA。

This dataset is an enhanced version of the MedMCQA dataset, leveraging the Llama-3.1-70B-Instruct model to generate Chain of Thought (CoT) answers to improve the quality of answers. During the dataset creation process, the model is asked to rephrase and explain the question, explain each option, and summarize these explanations to arrive at the final answer. The purpose of the dataset is to provide a high-quality, easy-to-use instruction tuning dataset based on MedQA.