We-Math/We-Math2.0-Standard

Dataset Card for We-Math 2.0 GitHub | Paper | Website We-Math 2.0 is a unified system designed to comprehensively enhance the mathematical reasoning capabilities of Multimodal Large Language Models (MLLMs). It integrates a structured mathematical knowledge system, model-centric data space modeling, and a reinforcement learning (RL)-based training paradigm to achieve both broad conceptual coverage and robust reasoning performance across varying difficulty levels. The key… See the full description on the dataset page: https://huggingface.co/datasets/We-Math/We-Math2.0-Standard.

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