Datasets › Physical Audiovisual CommonSense
Physical Audiovisual CommonSense
PACS (Physical Audiovisual CommonSense) is the first audiovisual benchmark annotated for physical commonsense attributes. PACS contains a total of 13,400 question-answer pairs, involving 1,377 unique physical commonsense questions and 1,526 videos. The dataset provides new opportunities to advance the research field of physical reasoning by bringing audio as a core component of this multimodal problem.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Physical Commonsense Reasoning | Physical Audiovisual CommonSense | Human With Audio (Acc %) 96.3 ± 2.1 | PACS: A Dataset for Physical Audiovisual CommonSense Reasoning | samuelyu2002/pacs | 6 | Compare |
Papers archive 2025-07-28
1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 3. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| PACS: A Dataset for Physical Audiovisual CommonSense Reasoning | 1 | 6 | 21 Mar 2022 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- Physical Audiovisual CommonSense
1 variant name, as the archive lists them.
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