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| license: apache-2.0 | |
| task_categories: | |
| - robotics | |
| tags: | |
| - LeRobot | |
| - LIBERO | |
| - imitation-learning | |
| - robotics | |
| pretty_name: LIBERO Spatial Image — LIBERO Task 0 | |
| # LIBERO Spatial Image — LIBERO Task 0 | |
| This is a single-task subset derived from | |
| [`lerobot/libero_spatial_image`](https://huggingface.co/datasets/lerobot/libero_spatial_image). | |
| Its name follows the canonical task order of the LIBERO benchmark used at | |
| runtime by verl-vla. | |
| The selected task is LIBERO Spatial `task_id=0`: | |
| > Pick up the black bowl between the plate and the ramekin and place it on the plate. | |
| In the upstream LeRobot dataset's local task table, the same task is stored as | |
| `task_index=4`. The numeric IDs differ because the upstream dataset and LIBERO | |
| benchmark use different task-table orderings. | |
| ## Dataset summary | |
| - Format: LeRobot v3.0 | |
| - Robot: Panda | |
| - Frequency: 10 FPS | |
| - Episodes: 45 | |
| - Frames: 4,487 | |
| - Tasks: 1 | |
| - Canonical LIBERO task ID: 0 | |
| - Upstream dataset-local task index: 4 | |
| - Observations: agent-view image, wrist image, and 8-dimensional robot state | |
| - Actions: 7-dimensional continuous action | |
| ## Derivation and validation | |
| All upstream episodes whose task description exactly matches the LIBERO task-0 | |
| description were selected. Observation and action values were copied without | |
| modification, while episode, frame, sample, and dataset-local task indices were | |
| rebuilt into a contiguous single-task LeRobot dataset. | |
| Images are losslessly encoded as PNG data. The first extracted episode was | |
| checked for exact tensor equality against its source episode for both images, | |
| state, and action. Global image mean and standard deviation were recomputed | |
| directly from all 4,487 decoded frames because the installed LeRobot version's | |
| per-episode image-statistics aggregation produced invalid near-zero standard | |
| deviations during subset creation. | |
| This is a derived subset, not an independently collected dataset. Refer to the | |
| upstream dataset and the [LIBERO project](https://libero-project.github.io/) for | |
| the original collection and benchmark details. | |
| ## Loading with LeRobot | |
| ```python | |
| from lerobot.datasets.lerobot_dataset import LeRobotDataset | |
| dataset = LeRobotDataset("Miical/libero_spatial_image_task0") | |
| ``` | |
| ## License and attribution | |
| The upstream dataset is published under the Apache-2.0 license. This derived | |
| subset retains that license. Please credit the upstream LeRobot dataset and | |
| LIBERO when using it. | |