Y-Research-Group/VisReason

VisReason: A Large-Scale Dataset for Visual Chain-of-Thought Reasoning VisReason is a large-scale dataset designed to advance visual Chain-of-Thought (CoT) reasoning in multimodal large language models (MLLMs). Rather than mapping an image directly to an answer, VisReason supervises a human-like, global-to-local reasoning process: the model first forms a holistic hypothesis about the scene, then iteratively zooms into salient regions (areas of interest) to collect fine-grained… See the full description on the dataset page: https://huggingface.co/datasets/Y-Research-Group/VisReason.

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