AutoMathText is a large-scale mathematical text data set with a data size of 1 billion to 10 billion. The data comes from a wide range of sources, including scientific papers, programming codes and web page data, with a total size of 200GB. This data set can be used for mathematical reasoning, training and fine-tuning models, and supports text generation and question and answer tasks, providing rich resources for large-scale model training. It is especially suitable for developing and testing models that understand and generate mathematics-related content, and provides a new platform for the AI field. provides valuable data support for research and applications.
AutoMathText is a huge mathematical text data set with an overall size of 200GB. The dataset aggregates data from multiple sources, including scientific papers, programming code snippets, and web page data. The data set is suitable for various application scenarios such as mathematical reasoning, reasoning training and fine-tuning. The dataset also supports text generation and question-answering tasks, and is particularly useful for developing and testing models for understanding and generating mathematics-related content. Currently, the data set contains 1 billion to 10 billion data, providing abundant resources for large-scale model training.
The huge scale and wide range of application scenarios of the AutoMathText data set make it an important resource in the field of AI, especially in the training and development of mathematics-related models. Its diverse data sources and application possibilities provide a solid foundation for promoting the development of AI technology in the field of mathematics. In the future, the continuous updating and improvement of this data set will further promote the application and innovation of AI in the field of mathematics.