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README.md
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tags:
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- robotics
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- manipulation
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- multimodal
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- trajectory-data
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license: other
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task_categories:
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- robotics
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multimodal: vision+action
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dataset_info:
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features:
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- name: rgb_images
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data_files: "**/*"
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---
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</h1>
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<h3
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</h3>
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<
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<img src="https://img.shields.io/badge/Product-FastUMI_Pro-brightgreen?style=flat"/>
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<img src="https://img.shields.io/badge/Multimodal-7_Sensors-orange?style=flat"/>
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<img src="https://img.shields.io/badge/Trajectory_Data-150K-blue?style=flat"/>
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<img src="https://img.shields.io/badge/Application-VLA_Training-purple?style=flat"/>
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</p>
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---
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(only **dozens of episodes**, *not* a large-scale dataset).
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It showcases the multimodal sensing capabilities of the FastUMI Pro system, including:
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- Visual SLAM pose trajectories
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- Vive tracking data
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- Time-of-Flight (ToF) point clouds
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- Clamp (gripper gap) measurements
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- Fused pose trajectories
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For full-scale datasets or customized collection services, please **contact the FastUMI team directly**.
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---
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##
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- **Multi-sensor synchronization** across RGB, SLAM, Vive, ToF, and clamp channels
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- **Standardized directory and timestamp structure**
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- **Ready for embodied AI, imitation learning, and robotics research**
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- **Hardware-agnostic data format** for cross-platform manipulation applications
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| Tool | Description | Link |
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|------|-------------|------|
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| **Single-Arm Demo Replay** | Single-arm data replay code | [GitHub](https://github.com/Loki-Lu/FastUMI_replay_singleARM) |
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| **Dual-Arm Demo Replay** | Dual-arm data replay code | [GitHub](https://github.com/Loki-Lu/FastUMI_replay_dualARM) |
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| **Hardware SDK** | FastUMI hardware development kit | [GitHub](https://github.com/FastUMIRobotics/FastUMI_Hardware_SDK) |
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| **Monitor Tool** | Real-time device monitoring | [GitHub](https://github.com/FastUMIRobotics/FastUMI_Monitor_Tool) |
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| **Data Collection** | Data collection utilities | [GitHub](https://github.com/FastUMIRobotics/FastUMI_Data_Collection) |
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-->
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- **Paper**: [MLM: Learning Multi-task Loco-Manipulation Whole-Body Control for Quadruped Robot with Arm](https://arxiv.org/abs/2508.10538)
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- **Tutorial**: PI0 (FastUMI Data Lightweight Adaptation, Version V0) Full Pipeline
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-->
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---
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##
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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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```
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export HF_ENDPOINT=https://hf-mirror.com
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```
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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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```
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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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└── merge_stats.txt
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```
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| :--- | :--- | :--- | :--- | :--- |
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| **RGB Images** | `session_XXX/RGB_Images/Video.MP4` | `(frames, 1080, 1920, 3)`| `uint8`| Camera video data, 60 FPS |
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| **SLAM Poses** | `session_XXX/SLAM_Poses/slam_raw.txt` | `(timestamps, 7)`| `float` | UMI end-effector poses |
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| **Vive Poses** | `session_XXX/Vive_Poses/vive_data_tum.txt` | `(timestamps, 7)`| `float` | Vive base station poses |
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| **ToF PointClouds** | `session_XXX/PointClouds/pointcloud_...pcd` | `pcd format` | pcd | Time-of-Flight point cloud data |
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| **Clamp Data** | `session_XXX/Clamp_Data/clamp_data_tum.txt` | `(timestamps, 1)`| `float` | Gripper spacing (mm) |
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| **Merged Trajectory** | `session_XXX/Merged_Trajectory/merged_trajectory.txt` | `(timestamps, 7)`| `float` | Fused trajectory (Vive/UMI based on velocity) |
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| **Pos X** | X-coordinate of position (meters) |
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| **Pos Y** | Y-coordinate of position (meters) |
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| **Pos Z** | Z-coordinate of position (meters) |
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| **Q_X** | X-component of orientation quaternion |
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| **Q_Y** | Y-component of orientation quaternion |
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| **Q_Z** | Z-component of orientation quaternion |
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| **Q_W** | W-component of orientation quaternion |
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[TBD]
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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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***
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> | **负责人 (Lead)** | Ding Yan |
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> | **Email** | **[dingyan@lumosbot.tech](mailto:dingyan@lumosbot.tech)** |
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> | **WeChat** | **`Duke_dingyan`** |
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tags:
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- robotics
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- manipulation
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- trajectory-data
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- multimodal
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- embodied-ai
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multimodal: vision+language+action
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license: other
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task_categories:
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- robotics
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dataset_info:
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features:
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- name: rgb_images
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data_files: "**/*"
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---
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<div align="center">
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<h1 style="font-size: 42px; font-weight: 900; margin-bottom: 10px;">
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FastUMI Pro – Multimodal Sample Dataset
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</h1>
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<h3 style="font-size: 20px; font-weight: 400; margin-top: -10px;">
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Small-Scale Demonstration Data From the FastUMI Pro Multimodal Sensing System
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<br>(Only Dozens of Trajectories — Full Dataset Available Upon Request)
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</h3>
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<br>
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<img src="https://img.shields.io/badge/FastUMI-Pro-brightgreen" />
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<img src="https://img.shields.io/badge/Sample%20Dataset-Small-blue" />
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<img src="https://img.shields.io/badge/Multimodal-Vision%20%7C%20Pose%20%7C%20PointCloud-orange" />
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<br><br>
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<a href="https://fastumi.com/pro/">Project Homepage</a>
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</div>
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## 📖 Overview
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The **FastUMI Pro Sample Dataset** provides a publicly available preview of the multimodal sensing pipeline used by the FastUMI Pro system.
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This release contains **only a small number of demonstration trajectories**, intended for:
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- System testing
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- Algorithm prototyping
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- Pipeline integration
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- Demonstration of multimodal alignment quality
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This dataset includes:
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- RGB camera frames
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- Visual SLAM trajectories
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- Vive tracking poses
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- ToF point clouds
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- Clamp (gripper width) sensor readings
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- Fused multi-sensor trajectory data
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Full-scale datasets and enterprise data services are available upon request.
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## 📁 Directory Structure
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<div align="center">
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<h3>Dataset Folder Layout</h3>
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</div>
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```markdown
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session_001/
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└── device_label_xv_serial/
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└── session_timestamp/
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└── merge_stats.txt
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```
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---
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## 📊 Data Specifications
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| **Data Type** | **Path** | **Shape** | **Type** | **Description** |
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|--------------|----------|-----------|----------|-----------------|
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| RGB Images | RGB_Images/Frames/*.jpg | (H, W, 3) | uint8 | Multi-view RGB images |
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| SLAM Poses | SLAM_Poses/slam_raw.txt | (N, 8) | float | Timestamp + SE(3) pose |
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| Vive Poses | Vive_Poses/vive_data_tum.txt | (N, 8) | float | Vive tracking |
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| ToF PointClouds | ToF_PointClouds/PointClouds/*.pcd | variable | pcd | ToF 3D point clouds |
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| Clamp Data | Clamp_Data/clamp_data_tum.txt | (N, 2) | float | Timestamp + clamp width |
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| Merged Trajectory | Merged_Trajectory/merged_trajectory.txt | (N, 8) | float | Fused pose trajectory |
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---
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## 🧭 Pose Data Format
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```markdown
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timestamp x y z qx qy qz qw
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```
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| Field | Description |
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|-------|-------------|
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| timestamp | Unix timestamp |
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| x | Position X (meters) |
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| y | Position Y (meters) |
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| z | Position Z (meters) |
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| qx | Quaternion X |
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| qy | Quaternion Y |
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| qz | Quaternion Z |
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| qw | Quaternion W |
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---
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## 📥 Download
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```bash
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huggingface-cli download FastUMIPro/example_data_fastumi_pro_raw \
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--repo-type dataset \
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--local-dir ./fastumi_sample/
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```
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Mirror (optional):
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```bash
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export HF_ENDPOINT=https://hf-mirror.com
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```
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---
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## ⚠️ Dataset Scale
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This dataset contains **only a small number of sample episodes**
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and is **not intended for large-scale model training**.
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For:
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- Full datasets
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- Enterprise multimodal collection
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- Research collaboration
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→ Please contact the FastUMI team.
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---
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## 📞 Contact
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Lead: **Ding Yan**
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Email: **dingyan@lumosbot.tech**
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WeChat: **Duke_dingyan**
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---
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