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  1. README.md +148 -0
  2. data/chunk-001/episode_001000.parquet +3 -0
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README.md ADDED
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+ ---
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+ license: cc-by-4.0
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+ task_categories:
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+ - robotics
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+ tags:
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+ - robotics
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+ - manipulation
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+ - libero
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+ - vision-language-action
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+ - multi-task
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+ - converted
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+ - lerobot
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+ pretty_name: LIBERO Converted
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+ size_categories:
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+ - 100K<n<1M
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+ ---
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+
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+ # LIBERO Dataset for LeRobot
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+
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+ This is the [LIBERO dataset](https://huggingface.co/datasets/physical-intelligence/libero), **preprocessed by the HuggingFace VLA team to fit the LeRobot framework**.
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+
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+ The dataset is structured for easy use in VLA (Vision-Language-Action) LeRobot training pipelines, so you can easily train and evaluate models without extra preprocessing.
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+
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+ ## Dataset Description
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+
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+ LIBERO (Language-Integrated Benchmark for Evaluating Robot Manipulation) is a comprehensive benchmark for robot manipulation tasks with natural language instructions. This dataset combines four individual Libero datasets: **Libero-Spatial**, **Libero-Object**, **Libero-Goal** and **Libero-10**. All datasets were taken from the original sources and converted into LeRobot format.
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+
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+ - **Homepage**: https://libero-project.github.io
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+ - **Paper**: https://arxiv.org/abs/2306.03310
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+ - **License**: CC-BY 4.0
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+
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+ This converted version maintains all original functionality while providing standardized feature naming conventions.
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+
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+ ### Details
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+
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+ - **Episodes**: 1,693 manipulation episodes
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+ - **Tasks**: 40 unique manipulation tasks
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+ - **Robot**: Franka Panda 7-DOF arm
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+ - **Cameras**: Dual camera setup (main view + wrist camera)
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+ - **Resolution**: 256×256 RGB images
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+ - **Action Space**: 7-dimensional (6 joint velocities + gripper)
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+ - **FPS**: 10 Hz
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+
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+ ## Dataset Structure
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+
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+ ### Features
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+
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+ | Feature | Type | Shape | Description |
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+ |---------|------|-------|-------------|
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+ | `observation.images.image` | Image | (256, 256, 3) | Main camera RGB view |
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+ | `observation.images.image2` | Image | (256, 256, 3) | Wrist camera RGB view |
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+ | `observation.state` | Tensor | (8,) | Joint positions + gripper state |
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+ | `action` | Tensor | (7,) | Target joint velocities + gripper action |
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+ | `timestamp` | Float | () | Episode timestamp |
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+ | `frame_index` | Int | () | Frame index within episode |
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+ | `episode_index` | Int | () | Episode identifier |
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+ | `index` | Int | () | Global frame index |
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+ | `task_index` | Int | () | Task identifier (0-39) |
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+
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+ ### Task Categories
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+
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+ The dataset includes 40 diverse manipulation tasks across multiple categories:
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+ - **Pick and Place**: Object manipulation and placement
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+ - **Drawer Operations**: Opening and closing drawers
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+ - **Door Operations**: Handle manipulation and door opening/closing
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+ - **Assembly Tasks**: Multi-object coordination and assembly
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+ - **Tool Use**: Utilizing tools for manipulation tasks
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+
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+ ## Usage
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+
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+ ### Loading the Dataset
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+
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+ ```python
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+ from lerobot.datasets.lerobot_dataset import LeRobotDataset
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+
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+ # Load the converted dataset
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+ dataset = LeRobotDataset("HuggingFaceVLA/libero")
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+
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+ # Access a sample
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+ sample = dataset[0]
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+ main_image = sample["observation.images.image"]
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+ wrist_image = sample["observation.images.image2"]
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+ robot_state = sample["observation.state"]
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+ action = sample["action"]
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+ ```
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+
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+ ## Conversion Details
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+
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+ This dataset was converted from the original LIBERO v2.0 format to LeRobot v2.1 format with the following improvements:
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+
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+ 1. **Standardized Feature Names**: Renamed keys to follow LeRobot conventions
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+ 2. **Added Episode Statistics**: Generated `episodes_stats.jsonl` for efficient loading
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+ 3. **Updated Metadata**: Compatible with latest LeRobot framework
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+ 4. **Structured Image Keys**: Organized image features under `observation.images.*`
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+ 5. **Preserved All Data**: No data loss during conversion
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+
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+ ### Original to Converted Key Mapping
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+
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+ | Original Key | Converted Key |
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+ |--------------|---------------|
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+ | `image` | `observation.images.image` |
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+ | `wrist_image` | `observation.images.image2` |
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+ | `state` | `observation.state` |
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+ | `actions` | `action` |
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+
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+ ## Dataset Statistics
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+
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+ - **Total Episodes**: 1,693
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+ - **Total Frames**: 273,465
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+ - **Average Episode Length**: 161.6 frames
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+ - **Dataset Size**: ~35GB
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+ - **Format**: LeRobot v2.1
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+
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+ ## Citation
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+
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+ If you use this dataset, please cite the original LIBERO paper:
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+
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+ ```bibtex
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+ @article{liu2023libero,
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+ title={LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning},
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+ author={Liu, Bo and Zeng, Yifeng and Patil, Arjun and Mu, Xingyu and Xu, Qingqing and Liu, Ying and Wu, Stone and Liu, Yurong and Tenenbaum, Joshua B and others},
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+ journal={arXiv preprint arXiv:2306.03310},
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+ year={2023}
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+ }
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+ ```
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+
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+ ## License
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+
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+ This dataset is released under the CC-BY 4.0 License, following the original LIBERO dataset licensing.
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+
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+ ## Original Dataset
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+
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+ - **Original Source**: [physical-intelligence/libero](https://huggingface.co/datasets/physical-intelligence/libero)
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+ - **Paper**: [LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning](https://arxiv.org/abs/2306.03310)
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+ - **Homepage**: [https://libero-project.github.io](https://libero-project.github.io)
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+
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+ ## Conversion Process
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+
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+ This dataset was converted using the LeRobot conversion pipeline:
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+
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+ 1. Downloaded original dataset from HuggingFace Hub
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+ 2. Applied LeRobot v2.0 to v2.1 conversion
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+ 3. Renamed features to standard conventions
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+ 4. Generated episode statistics
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+ 5. Validated data integrity
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+ 6. Uploaded with proper metadata
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+
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+ For questions about the conversion or issues with the dataset, please open an issue on the [LeRobot repository](https://github.com/huggingface/lerobot).
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