Zhiqiang007/MathV360K

Overview MathV360K is proposed by Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models, which consists 40K images from 24 datasets and 360K question-answer pairs. MathV360K is used to enhance the multimodal mathematical reasoning capabilities of MLLMs, achieving 46.6% accuracy on MathVista benchmark and 15.69% accuracy on MathVision dataset. Paper or resources for more information: [Paper] [Code] [Model] Source Data

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