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README.md
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dtype: float32
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- name: next.done
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dtype: bool
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- name: next.success
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dtype: bool
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- name: index
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dtype: int64
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- name: task_index
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dtype: int64
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splits:
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- name: train
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num_bytes: 88950
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num_examples: 600
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download_size: 35684
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dataset_size: 88950
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---
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# Sim Bucket-to-Bin Dataset
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This dataset
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---
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# For reference on dataset card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md
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# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
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annotations_creators:
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- no-annotation
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language:
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- en
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license: mit
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multilinguality:
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- monolingual
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size_categories:
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- 1K<n<10K
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source_datasets:
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- original
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task_categories:
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- computer-vision
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task_ids:
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- image-classification
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pretty_name: Sim Bucket-to-Bin Dataset
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---
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This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
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## Dataset Description
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Simulated robot control episodes for learning from pixels and interaction.
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- **Homepage:** https://github.com/huggingface/lerobot
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- **Paper:** [More Information Needed]
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- **License:** MIT
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## Dataset Structure
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- Episodes contain RGB camera data and robot state.
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- Data is stored in Parquet files.
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- Video files are MP4 compressed per camera.
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## Citation
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**BibTeX:**
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```bibtex
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@misc{lerobot2024,
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author = {HuggingFace Robotics Team},
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title = {LeRobot: Learning from Simulation at Scale},
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year = {2024},
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url = {https://github.com/huggingface/lerobot}
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}
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