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README.md
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### Example Dataset
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```bash
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# Direct download (may be slow in some regions)
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huggingface-cli download FastUMIPro/example_data_fastumi_pro_raw --repo-type dataset --local-dir ~/fastumi_data/
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### Example Dataset
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```bash
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# Direct download (may be slow in some regions)
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huggingface-cli download FastUMIPro/example_data_fastumi_pro_raw --repo-type dataset --local-dir ~/fastumi_data/
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Mirror Download (Recommended)
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bash
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# Set mirror endpoint
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export HF_ENDPOINT=https://hf-mirror.com
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# Download via mirror
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huggingface-cli download --repo-type dataset --resume-download FastUMIPro/example_data_fastumi_pro_raw --local-dir ~/fastumi_data/
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📁 Data Structure
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Each session represents an independent operation "episode" containing observation data and action sequences.
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Directory Structure
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text
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session_001/
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└── device_label_xv_serial/
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└── session_timestamp/
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├── RGB_Images/
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│ ├── timestamps.csv
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│ └── Frames/
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│ ├── frame_000001.jpg
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│ └── ...
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├── SLAM_Poses/
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│ └── slam_raw.txt
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├── Vive_Poses/
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│ └── vive_data_tum.txt
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├── ToF_PointClouds/
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│ ├── timestamps.csv
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│ └── PointClouds/
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│ └── pointcloud_000001.pcd
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├── Clamp_Data/
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│ └── clamp_data_tum.txt
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└── Merged_Trajectory/
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├── merged_trajectory.txt
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└── merge_stats.txt
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Data Specifications
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Data Type Path Shape/Type Description
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RGB Images Frames/frame_...jpg (frames, 1080, 1920, 3), uint8, 60 FPS Camera video data
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SLAM Poses slam_raw.txt (timestamps, 7), float UMI end-effector poses
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Vive Poses vive_data_tum.txt (timestamps, 7), float Vive base station poses
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ToF PointClouds PointClouds/pointcloud_...pcd pcd format Time-of-Flight point cloud data
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Clamp Data clamp_data_tum.txt (timestamps, 1), float Gripper spacing (mm)
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Merged Trajectory merged_trajectory.txt (timestamps, 7), float Fused trajectory (Vive/UMI based on velocity)
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Pose Data Format
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All pose data (SLAM, Vive, Merged) follow the same format:
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text
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[Pos_X, Pos_Y, Pos_Z, Q_X, Q_Y, Q_Z, Q_W]
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🔄 Data Conversion
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[TBD - Data conversion methods will be added here]
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🤝 Collaboration
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FastUMI Pro dataset is available for research collaboration. The full FastUMI-150K dataset has been provided to partner research teams for large-scale model training.
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📞 Contact
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For questions or suggestions, please contact the development team:
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Lead: Ding Yan
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Email: [email protected]
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WeChat: Duke_dingyan
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