PhysicalAI SDG Warehouse PhysicalAI SDG Warehouse is a synthetic, fully annotated video dataset of staged industrial safety events captured in a simulated warehouse environment. It contains approximately 123k video clips, totaling roughly 412 hours of footage at 1920x1080 resolution and 30 frames per second, organized across four scenarios: a forklift near miss with a human worker, a warehouse fire with worker evacuation, a forklift collision with a storage shelf, and a routine box pickup action. Every multi camera simulation run is filmed from 5 to 10 synchronized viewpoints, and the entire pipeline is reproducible end to end from a single random seed. This dataset is described in Appendix C.5 of the Cosmos3 technical report. This dataset is ready for commercial or non commercial uses. Overview The release is packaged as standard WebDataset tar shards, with one sample per simulation run. Inside each shard, all of a run's synchronized camera views share the same sample key, so a single iteration of the dataset yields a complete multi view group together with its run level metadata. The shards are sized at approximately 5GBs each, which is optimized for streaming directly into a tra…
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