Datasets › Hi-Phy
Hi-Phy
Hi-Phy is a benchmark for physical reasoning that allows researchers to test individual physical reasoning capabilities. Inspired by how humans acquire these capabilities, the benchmark proposes a general hierarchy of physical reasoning capabilities with increasing complexity. this benchmark tests capabilities according to this hierarchy through generated physical reasoning tasks in the video game Angry Birds.
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 1 paper 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
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- Hi-Phy
1 variant name, as the archive lists them.
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