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OAT-RFSQ Robot Learning Datasets

Two robot-learning datasets in Zarr format: RoboMimic MT3 with 900 demonstrations and Meta-World MT4 with 200 demonstrations, designed for imitation learning research.

Downloads178
Episodes1100

Why This Matters for Physical AI

These datasets provide structured imitation learning benchmarks across RoboMimic and Meta-World domains, enabling evaluation of robot learning algorithms on standardized manipulation tasks.

Technical Profile

Environment
simulation
Task Types
manipulation
Episodes
1100
Data Format
zarr
Part of the OAT-RFSQ family

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