Upload canonical LIBERO task-0 subset with validated statistics

README.md

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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.

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