altaidevorg/women-health-mini

该数据集是通过从信誉良好的健康相关网站和开源电子书、PDF中收集数据，专注于女性健康主题，并通过角色扮演和RAG方法增强问题质量而开发的。数据集涵盖了广泛的女性健康相关主题，旨在为语言模型的微调提供丰富多样的指令数据。

This dataset was created by scraping data from reputable health-related websites and collecting high-quality, open-source e-books and PDFs focusing on womens health. These diverse sources were curated to create a rich and varied instruction dataset, ensuring that the final dataset covers a wide range of topics relevant to womens health. To enhance the quality of the questions within the dataset, role-playing and Retrieval-Augmented Generation (RAG) methods were employed.