| --- |
| license: other |
| pretty_name: Robotics PushT LeRobot |
| tags: |
| - lerobot |
| - robotics |
| - imitation-learning |
| - multimodal-behavior-cloning |
| --- |
| |
| # PushT LeRobot Dataset |
|
|
| LeRobot-formatted PushT robot pushing dataset used for multimodal behavior cloning experiments. |
|
|
| ## Dataset Details |
|
|
| - Format: LeRobot v3.0 |
| - Robot type: `pusht_sim` |
| - Episodes: 206 |
| - Frames: 25650 |
| - FPS: 10 |
| - Tasks: 1 |
| - Action shape: `[2]` |
| - State shape: `[24]` |
| - Videos: yes |
|
|
| The repository follows the standard LeRobot layout with `meta/`, `data/`, and, when available, `videos/` at the repository root. |
|
|
| ## Loading |
|
|
| ```python |
| from lerobot.common.datasets.lerobot_dataset import LeRobotDataset |
| |
| dataset = LeRobotDataset("nct-tso/robotics_pusht_lerobot") |
| ``` |
|
|
| ## Provenance and License |
|
|
| This release is a LeRobot-formatted adaptation of an upstream robotics benchmark dataset. |
|
|
| Upstream benchmark/source: PushT benchmark from the Diffusion Policy robotics benchmark lineage. |
|
|
| The Hub metadata uses `license: other` because the release combines converted LeRobot metadata/data files with upstream benchmark assets. The upstream benchmark assets retain their original licenses and attribution requirements. See `LICENSE` for the repository-level notice. |
|
|
| ## Citation |
|
|
| If you use this dataset release, please cite both: |
|
|
| 1. The LeRobot adaptation / dataset release: |
|
|
| **VersatIL: A Unified, Composable Imitation Learning Library for Reproducible Autonomous Robot Policies** |
| Lorenzo Mazza, Ariel Rodriguez, Stefanie Speidel. |
| Citation details coming soon. |
|
|
| 2. The relevant upstream benchmark papers or repositories for the original environment, task definition, and data source. |
|
|
