遇见数据集

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arXiv2025-09-30 收录
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该数据集是一个大规模的多模态数据集,专为数学推理任务而设计,其中包含了长链思维(CoTs)的内容。该数据集旨在支持多模态慢思考模型的进展,对于评估推理能力至关重要。其所涉及的任务类型为多模态数学推理。

This dataset is a large-scale multimodal dataset exclusively designed for mathematical reasoning tasks, and it incorporates Chain-of-Thought (CoTs) content. It is intended to support the advancement of multimodal slow-thinking models and is critical for evaluating reasoning capabilities. The task types encompassed in this dataset are multimodal mathematical reasoning.

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