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NU-World-Model-Embodied-AI/phyground

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Preview for NU-World-Model-Embodied-AI/phyground

Dataset Analysis

PhyGround Project Page | GitHub | Paper PhyGround is a criteria-grounded benchmark for evaluating physical reasoning in video generation. The benchmark contains 250 curated prompts, each augmented with an expected physical outcome, and a taxonomy of 13 physical laws across solid-body mechanics, fluid dynamics, and optics. Sample Usage You can download the benchmark prompts and first-frame images using the Hugging Face CLI: huggingface-cli download --repo-type dataset… See the full description on the dataset page: https://huggingface.co/datasets/NU-World-Model-Embodied-AI/phyground.

Provenance

Collected from huggingface-datasets.

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Resources

Tags

task_categories:text-to-videotask_categories:image-to-videosize_categories:n<1Kformat:jsonmodality:textmodality:videolibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantarxiv:2605.10806region:us