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Upload README.md with huggingface_hub

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  ---
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- dataset_info:
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- features:
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- - name: observation.state
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- list: float64
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- - name: action
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- list: float64
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- - name: episode_index
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- dtype: int64
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- - name: frame_index
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- dtype: int64
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- - name: timestamp
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- dtype: float64
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- - name: next.reward
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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 contains simulated episodes of a robot pushing a cube.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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+ ## Dataset Description
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+
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+ Simulated robot control episodes for learning from pixels and interaction.
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+
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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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+
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+ ## Dataset Structure
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+
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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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+
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+ ## Citation
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+
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+ **BibTeX:**
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+
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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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+ }