PhysicalAI WorldModel Synthetic Physical Interaction Scenes Dataset Card Dataset Description PhysicalAI WorldModel Synthetic Physical Interaction Scenes is a large scale synthetic dataset of physically simulated multi object interaction scenes, generated using NVIDIA Isaac Sim and the PhysX physics engine. It is designed to train and evaluate AI models on physical reasoning, rigid body dynamics, optical flow, depth estimation, and scene understanding. Each clip is a 5–8 second, 30 FPS, 1920×1080 simulation rendered from one or more fixed camera viewpoints, paired with ground truth physics annotations including per object velocity, angular velocity, center of mass displacement, cumulative rotation, per frame semantic segmentation, lossless depth video, and VLM generated natural language captions grounded in the underlying physics data. Most scenes produce 5 second clips (150 frames); the ball mixer scene produces 8 second clips (240 frames). The dataset contains ten procedurally parameterized scene types ( dominoes , ball mixer , bowling , billiards , towers , wrecking ball , objects falling , rolling ramp objects , rolling ramp obstruct , obstruction ), each exercising different ph…
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