toloka/u-math

U-MATH is a comprehensive benchmark of 1,100 unpublished university-level problems sourced from real teaching materials. It is designed to evaluate the mathematical reasoning capabilities of Large Language Models (LLMs). The dataset is balanced across six core mathematical topics and includes 20% of multimodal problems (involving visual elements such as graphs and diagrams). For fine-grained performance evaluation results and detailed discussion, check out our paper. 📊 U-MATH benchmark at… See the full description on the dataset page: https://huggingface.co/datasets/toloka/u-math.

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