CASIA-IVA-Lab/VisReason

VisReason VisReason is a benchmark for evaluating vision-centric reasoning in everyday scenarios where perception and inference are tightly coupled. It is designed to test whether multimodal large language models can reason directly from visual evidence rather than relying mainly on language-mediated abstractions. The dataset contains 1,505 carefully curated questions across 10 reasoning categories, covering perceptual, structural, and conceptual reasoning tasks. 📥… See the full description on the dataset page: https://huggingface.co/datasets/CASIA-IVA-Lab/VisReason.

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