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NU-World-Model-Embodied-AI/phyground

PhyGround: Benchmarking Physical Reasoning in Generative World Models Project page · Paper · Evaluation code · PhyJudge-9B PhyGround is a criteria-grounded benchmark for diagnosing physical failures in generated video. It contains 250 prompts covering 13 observable physical laws across solid-body mechanics, fluid dynamics, and optics. Each prompt is paired with a first-frame image, 10 released generation configurations, and applicable-law labels. The Hub repository includes:… See the full description on the dataset page: https://huggingface.co/datasets/NU-World-Model-Embodied-AI/phyground.

Author / organizationNU-World-Model-Embodied-AI
License (as declared)cc-by-4.0
Downloads1.1K (as reported by Hugging Face)
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Created8 May 2026
Last updated at source7 August 2026
videobenchmarkphysical-aiworld-modelvideo-generationhuman-annotationsphysics
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