AutoMathText

AutoMathText is an extensive and carefully curated dataset containing approximately 200GB of mathematical text. Each piece of content in the dataset is independently selected and scored by Qwen, the most advanced open source language model, ensuring high standards of relevance and quality. The dataset is particularly suitable for promoting advanced research at the intersection of mathematics and artificial intelligence, serving as an educational tool for learning and teaching complex mathematical concepts, and providing a basis for developing and training AI models that specifically process and understand mathematical content.

Demand group:

["Conduct academic research in the field of mathematics", "Assist educators to teach mathematics courses better", "Train machine learning models to process mathematics text"]

Example of usage scenario:

Researchers can use this data set to conduct cutting-edge cross-field research such as mathematical representation learning.

Teachers can mine content in data sets to help students learn abstract mathematical concepts

Data scientists can pre-train mathematical text processing models based on this dataset

Product features:

Contains approximately 200GB of high quality mathematical text

Content carefully selected and rated by advanced language models

Suitable for advanced research in mathematics and artificial intelligence

Can be used as an educational tool for teaching and learning complex mathematical concepts

Provide a data basis for the development of AI that processes mathematical content