Datasets › COAT
COAT (CommonSense Object Affordance Task)
Useful for checking the physical reasoning capabilities in household agents. Made through human annotations of what type of object configurations we prefer for accomplishing a household task.
Consists of 4 major datasets that are organized for evaluating such object selection capabilities across 3 major factors 1) Utility [1 dataset] 2) Context [1 dataset] 3) Physical State [2 datasets]
We also provide 2 datasets used for evaluating object selection capabilities by applying all 3 factors together. Namely the F_{ideal} and F_{moderate} datasets.
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
Languages archive 2025-07-28
Variants archive 2025-07-28
- COAT
1 variant name, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections