Omkar2118/datasets huggingface dataset:
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.

Introducing paper: PACS: A Dataset for Physical Audiovisual CommonSense Reasoning
EgoMon
Full name: Egomon Gaze & Video dataset

EgoMon Gaze & Video Dataset is an Egocentric (first person) Dataset that consists of 7 videos of 30 minutes, more or less, each one of them.
- 7 videos with the gaze information plotted on them.
- The same videos (without the gaze information plotted on them).
- A total of 13428 images, more or less, that corresponds to each frame per second of all these videos.
- 7 text files with the gaze data extracted from each video.

Introducing paper: Temporal Saliency Adaptation in Egocentric Videos