RyanWW/PercepTaxBench

PercepTax — Benchmarking Physical Intelligence through Cross-Property Reasoning in Vision-Language Models PercepTax is an open-ended visual-question-answering benchmark that tests whether vision-language models can reason across physical object properties — material, shape, function, affordance — together with spatial relations and compositional / counterfactual reasoning. In each question the object of interest is marked by a colored box, and the model must answer in free form… See the full description on the dataset page: https://huggingface.co/datasets/RyanWW/PercepTaxBench.

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