Datasets:
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observation.state list | action list | timestamp float32 0 40 ⌀ | frame_index int64 0 800 ⌀ | episode_index int64 0 24 ⌀ | index int64 0 13.1k ⌀ | task_index int64 0 0 ⌀ |
|---|---|---|---|---|---|---|
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End of preview. Expand in Data Studio
RLBench-18 v3 EEF — Validation Split (LeRobot v3.0)
RLBench 18-task PerAct validation split, converted to LeRobot v3.0 with lossless H.264 video.
Format
Same 8D EEF (wxyz, scalar-first) format as the train split. 18 tasks, 25 episodes per task, ~95K total frames.
Per-task LeRobot v3.0 datasets — load with LeRobotDataset("GT-111/rlbench_v3_eef_val/{task}").
Acknowledgments
Data: PerAct (@shridhar2022peract). Simulator: RLBench (@james2019rlbench).
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