Dataset overview
Xperience-10M is designed to model how intelligence unfolds in the physical world: perception coupled with action, intention, and consequence. Instead of isolated frames or synthetic trajectories, each record preserves temporally consistent, embodied human experience in real environments.
The release focuses on data quality and alignment as much as scale, so teams can use it for both foundation model pretraining and task-specific downstream adaptation.
Signal stack and scale
Structured human experience at scale.
Fun Fact
0 km
The total trajectory of 4D human movement is roughly one full circle around the Earth.
Access and collaboration
If you are building world models, robotics systems, or embodied agents and need large-scale, grounded human experience data, we would love to collaborate.
Reach out to us at contact@ropedia.com or follow updates at @ropedia_ai.
Share your model stage, target tasks, and data requirements. We can provide suitable dataset slices and discuss integration plans.