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Manipulation Datasets

Curated robot manipulation datasets for policy learning: DROID, BridgeData v2, Open X-Embodiment, RoboMimic, and custom single-arm collections. Browse, compare, and download.

The largest category in robot learning data. Curated open-source and custom manipulation datasets spanning tabletop pick-and-place, contact-rich assembly, deformable objects, and tool use — everything a manipulation policy needs to generalize.

Key Open-Source Manipulation Datasets

Dataset Episodes Robot(s) Format
DROID 76K trajectories Franka FR3 RLDS, HDF5
BridgeData v2 60K+ WidowX-250 RLDS, HDF5
Open X-Embodiment 1M+ 22 robot types RLDS
RoboMimic Varies per task Franka (sim + real) HDF5
MimicGen 50K+ (generated) Franka (sim) HDF5
LIBERO 65K demos, 130 tasks RoboSuite sim HDF5
OpenArm Datasets Growing collection OpenArm LeRobot, HDF5

Choosing the Right Dataset

For VLA pretraining, start with Open X-Embodiment or DROID — they cover the broadest range of tasks, environments, and embodiments. For single-task fine-tuning, BridgeData v2 and RoboMimic provide cleaner, more focused task suites. For data augmentation, MimicGen can expand a small seed set by 100x through automated trajectory generation.

If you need data on a specific robot or task that does not exist in any open dataset, RCSV can collect custom manipulation datasets using our teleoperation infrastructure. We operate OpenArm, Franka, UR, and xArm collection stations.

Format Compatibility

Most modern manipulation datasets are available in multiple formats. Use our dataset comparison tools to understand schema differences. The Fearless Data Platform can convert between HDF5, RLDS, and LeRobot formats automatically.