Datasets:

nvidia
/

PhysicalAI-WorldModel-Synthetic-Warehouse-Operations-Scenes

@@ -32,7 +32,7 @@ tags:
 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 A.1.5 of the Cosmos3 technical report (citation [below](#citation)). This dataset is ready for commercial or non-commercial uses.
 ## Overview

 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