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robotics_pusht_lerobot

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robotics
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Upload LeRobot dataset release

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  1. LICENSE +5 -0
  2. README.md +55 -0
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  8. videos/observation.image/chunk-000/file-000.mp4 +3 -0
  9. zarr.json +6 -0
LICENSE ADDED
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+ This dataset repository is distributed under `license: other` because it contains LeRobot-formatted adaptations of upstream robotics benchmark data/assets.
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+
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+ The LeRobot formatting/adaptation files were prepared for this release. The underlying benchmark environments, trajectories, images, videos, and task definitions retain their original upstream copyrights, licenses, and attribution requirements. This notice does not relicense upstream assets.
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+
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+ Please see `README.md` for dataset-specific provenance and citation notes.
README.md ADDED
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+ ---
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+ license: other
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+ pretty_name: Robotics PushT LeRobot
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+ tags:
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+ - lerobot
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+ - robotics
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+ - imitation-learning
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+ - multimodal-behavior-cloning
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+ ---
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+
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+ # PushT LeRobot Dataset
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+
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+ LeRobot-formatted PushT robot pushing dataset used for multimodal behavior cloning experiments.
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+
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+ ## Dataset Details
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+
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+ - Format: LeRobot v3.0
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+ - Robot type: `pusht_sim`
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+ - Episodes: 206
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+ - Frames: 25650
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+ - FPS: 10
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+ - Tasks: 1
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+ - Action shape: `[2]`
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+ - State shape: `[24]`
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+ - Videos: yes
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+
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+ The repository follows the standard LeRobot layout with `meta/`, `data/`, and, when available, `videos/` at the repository root.
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+
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+ ## Loading
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+
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+ ```python
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+ from lerobot.common.datasets.lerobot_dataset import LeRobotDataset
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+
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+ dataset = LeRobotDataset("nct-tso/robotics_pusht_lerobot")
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+ ```
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+
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+ ## Provenance and License
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+
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+ This release is a LeRobot-formatted adaptation of an upstream robotics benchmark dataset.
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+
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+ Upstream benchmark/source: PushT benchmark from the Diffusion Policy robotics benchmark lineage.
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+
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+ 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.
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+
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+ ## Citation
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+
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+ If you use this dataset release, please cite both:
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+
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+ 1. The LeRobot adaptation / dataset release:
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+
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+ **VersatIL: A Unified, Composable Imitation Learning Library for Reproducible Autonomous Robot Policies**
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+ Lorenzo Mazza, Ariel Rodriguez, Stefanie Speidel.
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+ Citation details coming soon.
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+
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+ 2. The relevant upstream benchmark papers or repositories for the original environment, task definition, and data source.
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