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  1. README.md +71 -0
  2. articubot_train_000002.tar +3 -0
  3. articubot_train_000003.tar +3 -0
  4. articubot_train_000004.tar +3 -0
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  19. articubot_train_000060.tar +3 -0
  20. articubot_val_known_objects_000000.tar +3 -0
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  31. articubot_val_known_objects_000017.tar +3 -0
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  33. articubot_val_known_objects_000022.tar +3 -0
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  36. articubot_val_unseen_objects_000000.tar +3 -0
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  46. articubot_val_unseen_objects_000017.tar +3 -0
  47. articubot_val_unseen_objects_000019.tar +3 -0
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  50. dataset_stats.json +1491 -0
README.md ADDED
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+ # ArticuBot Dataset (WebDataset Format)
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+
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+ ## Dataset Statistics
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+
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+ - **Total Samples**: 20,963
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+ - **Total Timesteps**: 2,299,385
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+ - **Categories**: ['Dishwasher', 'Microwave', 'Oven', 'Refrigerator', 'StorageFurniture', 'unknown']
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+ - **Splits**: ['train']
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+
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+ ## Split Statistics
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+
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+ ### train
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+ - **Samples**: 20,963
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+ - **Timesteps**: 2,299,385
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+ - **Categories**: 6
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+ - **Failed Samples**: 0
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+
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+ ## Data Format
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+
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+ Each sample in the WebDataset contains:
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+ - `metadata.json`: Complete metadata including object_id, category, and trajectory info
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+ - `trajectory.pkl`: Trajectory data with all timesteps
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+ - `info.json`: Sample structure information
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+
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+ ## Sample Structure
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+
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+ Each trajectory contains timesteps with the following data:
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+ - `state`: Robot state information
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+ - `action`: Robot actions
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+ - `point_cloud`: Scene point cloud
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+ - `gripper_pcd`: Gripper point cloud
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+ - `displacement_gripper_to_object`: Spatial displacement vectors
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+ - `goal_gripper_pcd`: Goal gripper point cloud
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+
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+ ## Usage
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+
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+ ```python
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+ import webdataset as wds
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+ import pickle
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+ import json
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+
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+ # Load training data
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+ dataset = wds.WebDataset("articubot_train_*.tar")
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+ dataset = dataset.decode()
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+
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+ for sample in dataset:
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+ # Load metadata
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+ metadata = json.loads(sample["metadata.json"])
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+
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+ # Load trajectory data
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+ trajectory_data = pickle.loads(sample["trajectory.pkl"])
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+
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+ # Process trajectory data
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+ for timestep in trajectory_data:
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+ state = timestep["state"]
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+ action = timestep["action"]
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+ # ... process other fields
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+ ```
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+
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+ ## Citation
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+
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+ If you use this dataset in your research, please cite:
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+
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+ ```bibtex
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+ @dataset{articubot_dataset,
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+ title={ArticuBot Dataset},
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+ author={Your Name},
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+ year={2024},
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+ url={https://huggingface.co/datasets/LocalWorldModels/articubot_dataset}
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+ }
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+ ```
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