AutoMathText is a comprehensive and meticulously planned dataset containing approximately 200GB of mathematical texts. Each item in the dataset is autonomously selected and rated by the state-of-the-art open-source language model Qwen, ensuring high standards of relevance and quality. This dataset is particularly suitable for fostering advanced research in the intersection of mathematics and artificial intelligence, as an educational tool for learning and teaching complex mathematical concepts, and as a foundation for developing and training AI models dedicated to processing and understanding mathematical content.