AutoMathText
Mathematics Text Smart Labeling Dataset
Product Details
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. This dataset is particularly suitable for promoting advanced research at the intersection of mathematics and artificial intelligence, as an educational tool for learning and teaching complex mathematical concepts, and as a basis for developing and training AI models that specifically process and understand mathematical content.
Main Features
Target Users
Conduct academic research in the field of mathematics
Paraeducators teach math courses better
Train a machine learning model to process mathematical text
Examples
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
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