CLARU
sanskxr02cc-by-4.0

Fidelity Data Factory – Egocentric State–Action Transitions (v0)

A dataset of ~200k+ state-action-state transitions extracted from real-world egocentric video recorded in factory environments, intended for learning dynamics and representations from large-scale human activity data.

Downloads139
Episodes200000

Why This Matters for Physical AI

This dataset provides large-scale human egocentric activity data with structured state-action transitions to enable research in world models, dynamics learning, and representation learning from real-world visual observations.

Technical Profile

Modalities
rgbproprioception
Action Space
delta_positions
Environment
labwarehouse
Task Types
manipulationhuman-interaction
Episodes
200000
Data Format
JSONL
License
cc-by-4.0
Part of the Fidelity Data Factory family

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