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| license: apache-2.0 | |
| task_categories: | |
| - robotics | |
| tags: | |
| - LeRobot | |
| configs: | |
| - config_name: default | |
| data_files: data/*/*.parquet | |
| # LIBERO native-action EEF10 (LeRobot v3.0) | |
| This local dataset was converted from `lerobot/libero` at revision | |
| `a1aaacb7f6cd6ee5fb43120f673cebb0cfea7dd4` (local source: `/mnt/data/wangyuran/libero-lerobot`). Its original parquet packing, | |
| episode offsets, tasks, 10 FPS timeline, and videos are preserved. | |
| Both primary robot columns use a 10-D interface: | |
| * `observation.state`: achieved `[xyz3, rot6d6, gripper_open_scale1]` | |
| * `action`: native normalized LIBERO `[delta_xyz3, delta_rot6d6, gripper_open_command1]` | |
| The action xyz values are copied unchanged from the source. The action | |
| rotation is `rot6d(Exp(source_delta_axis_angle))`; no 0.05 m or 0.5 rad OSC | |
| scale is applied and it is not composed with the achieved state. Native | |
| LIBERO uses `+1 = close`; the action gripper is negated to match the OpenWAM | |
| pretraining convention `-1 = closed, +1 = open`. State gripper is projected | |
| from the achieved finger separation as | |
| `clip(2 * (qpos0 - qpos1) / 0.08 - 1, -1, 1)`. | |
| The training/deployment normalization artifact is | |
| `meta/normalization_stats.npy`. It contains separate | |
| `libero` (action) and `libero_state` (state) blocks, | |
| and no pooled compatibility block. The canonical LIBERO reader uses | |
| the separate blocks so achieved-state and command statistics are never mixed. | |
| Its six rot6d dimensions are hard | |
| identity-mapped during normalization, even if a stale/custom stats file is | |
| supplied. | |
| Dataset totals: 1693 episodes, 273465 frames, | |
| 40 tasks, 10.0 FPS. Full provenance and numerical | |
| round-trip checks are recorded in `meta/conversion.json`. | |