Datasets › Physion

Physion

Introduced by Daniel M. Bear et al. in Physion: Evaluating Physical Prediction from Vision in Humans and Machines15 Jun 2021 archive 2025-07-28

Physion is a visual and physical prediction benchmark to measure the performance of machine learning models on making predictions about commonplace real world physical events. In realistically simulating a wide variety of physical phenomena -- rigid and soft-body collisions, stable multi-object configurations, rolling and sliding, projectile motion -- this dataset presents a more comprehensive challenge than existing benchmarks. Moreover, the dataset also contains human responses for the stimuli so that model predictions can be directly compared to human judgments.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 19 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

MIT License

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Physion

1 variant name, as the archive lists them.

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