Rename 1.md to README.md
Browse files- 1.md → README.md +134 -109
1.md → README.md
RENAMED
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- RoboCOIN
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- LeRobot
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frame_range: 10K-100K
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license: apache-2.0
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configs:
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# Agibot_g1_Pick_apple
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**
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| **Total Frames** | 50000 |
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| **Frame Rate (FPS)** | 30 |
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| **Total Episodes** | 100 |
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| **Total Tasks** | 100 |
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### Primary Task Instruction
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> pick up the apple from the table and place it into the basket.
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### Robot Configuration
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- **Robot Name:** `Agibot+G1edu-u3`
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- **Robot Type:** `G1edu-u3`
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- **Codebase Version:** `v2.1`
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- **End-Effector Name:** `
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- **End-Effector Type:** `two_finger_gripper, three_finger_gripper`
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- **Teleoperation Type:** `cable, wireless`
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##
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### Scene Type
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`home-kitchen`
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- `basket-container-basket`
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##
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- **Standardized Task Name:** `Agibot_g1_Pick_apple`
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- **Standardized Task Description:** `Left_arm+pick+apple`
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- **Operation Type:** `simgle_arm`
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### Sub-Tasks
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This dataset includes 3 distinct subtasks:
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- `grasp`
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##
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### Sensors
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- `Depth_camera`
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- `Force_sensor`
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### Camera Information
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### Coordinate System
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- **Definition:** `right_hand_frame`
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- **Base Translation:** `meter`
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- **Operation Platform Height:** `77.2 cm`
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##
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| Metric | Value |
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|--------|-------|
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| **Camera Views** | 3 |
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| **Dataset Size** | 2.7GB |
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##
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The dataset is organized into the following splits:
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- **Test**: Episodes 99:109
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##
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This dataset follows the LeRobot format and contains the following components:
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- **Chunking**: Data is organized into 10 chunk(s)
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of size 10
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- **timestamp**: float64
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- **frame_index**: int64
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- **episode_index**: int64
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#### Annotations
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- **subtask_annotation**: string
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- **scene_annotation**: string
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#### Motion Features
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- **eef_sim_pose_state**: float32
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- Dimensions: x, y, z, qx, qy, qz, qw
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#### Gripper Features
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The complete dataset metadata is available in [meta/info.json](meta/info.json):
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```
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##
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This dataset includes rich annotations to support diverse learning approaches:
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### Additional Features
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- **End-Effector Simulation Pose**: 6D pose information for end-effectors in simulation space
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- Available for both state and action
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- **Gripper Opening Scale**: Continuous gripper opening measurements
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- Available for both state and action
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## 🏷️ Dataset Tags
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- `RoboCOIN`
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- `LeRobot`
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##
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### Contributors
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This dataset is contributed by
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- RoboCOIN
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- [https://flagopen.github.io/RoboCOIN/](https://flagopen.github.io/RoboCOIN/)
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- RoboCOIN Team
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##
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##
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For questions, issues, or feedback regarding this dataset, please contact:
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- **Email:** robocoin@baai.ac.cn
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### Support
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For technical support, please open an issue on our GitHub repository.
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##
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This dataset is released under the **apache-2.0** license.
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Please refer to the LICENSE file for full license terms and conditions.
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##
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If you use this dataset in your research, please cite:
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If you use this dataset, please also consider citing:
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- LeRobot Framework: https://github.com/huggingface/lerobot
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##
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## Version History
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- v1.0.0 (2025-11): Initial release
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- RoboCOIN
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- LeRobot
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license: apache-2.0
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configs:
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# Agibot_g1_Pick_apple
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### Overview- **Total Episodes:** 100
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- **Total Frames:** 50000
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- **FPS:** 30
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- **Dataset Size:** 2.7GB
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- **Robot Name:** `Agibot+G1edu-u3`
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- **End-Effector Name:** `Agibot+two_finger_gripper, Agibot+three_finger_gripper`
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- **Scene:** `home-kitchen`
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- **Objects:** `table-furniture-table`,
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`basket-container-basket`
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- **Task Description:** Left_arm+pick+apple### Primary Task Instruction
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> pick up the apple from the table and place it into the basket.
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### Robot Configuration
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- **Robot Name:** `Agibot+G1edu-u3`
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- **Robot Type:** `G1edu-u3`
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- **Codebase Version:** `v2.1`
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- **End-Effector Name:** `Agibot+two_finger_gripper, Agibot+three_finger_gripper`
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- **End-Effector Type:** `two_finger_gripper, three_finger_gripper`
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- **Teleoperation Type:** `cable, wireless`
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## Scene and Objects
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### Scene Type
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`home-kitchen`
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- `basket-container-basket`
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## Task Descriptions
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- **Standardized Task Name:** `Agibot_g1_Pick_apple`
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- **Standardized Task Description:** `Left_arm+pick+apple`
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- **Operation Type:** `simgle_arm`
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- **Task Result:** `success`
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- **Environment Type:** `simulation`
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### Sub-Tasks
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This dataset includes 3 distinct subtasks:
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- `grasp`
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## Hardware and Sensors
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### Sensors
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- `Depth_camera`
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- `Force_sensor`
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### Camera Information- Camera 1: RGB, 1280x720, 30fps
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- Camera 2: RGB, 1280x720, 30fps
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- Camera 3: Depth, 640x480, 30fps
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### Coordinate System
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- **Definition:** `right_hand_frame`
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- **Base Translation:** `meter`
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- **Operation Platform Height:** `77.2 cm`
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## Dataset Statistics
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| Metric | Value |
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|--------|-------|
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| **Camera Views** | 3 |
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| **Dataset Size** | 2.7GB |
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- **Frame Range Label:** `10K-100K`
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- **Data Schema:** LeRobot-compatible format with parquet data files and MP4 video files
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## Data Splits
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The dataset is organized into the following splits:
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- **Test**: Episodes 99:109
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## Dataset Structure
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This dataset follows the LeRobot format and contains the following components:
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- **Chunking**: Data is organized into 10 chunk(s)
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of size 10
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### Data Structure (Tree)
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```
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dataset/
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├── data/
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│ ├── chunk-000/
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│ │ ├── episode_000000.parquet
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│ │ └── episode_000001.parquet
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│ └── chunk-001/
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│ ├── episode_000010.parquet
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│ └── episode_000011.parquet
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├── videos/
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│ ├── chunk-000/
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│ │ ├── camera_1/
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│ │ │ ├── episode_000000.mp4
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│ │ │ └── episode_000001.mp4
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│ │ └── camera_2/
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│ │ ├── episode_000000.mp4
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│ │ └── episode_000001.mp4
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│ └── chunk-001/
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│ └── ...
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├── meta/
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│ └── info.json
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└── README.md
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```
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## Camera Views
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This dataset includes 3 camera views.
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## Features (Full YAML)
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```yaml
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observation.images.camera_1:
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dtype: video
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shape:
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- 720
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- 1280
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- 3
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names:
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- height
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- width
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- channels
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info:
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video.fps: 30
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video.codec: h264
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observation.state:
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dtype: float32
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shape:
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- 14
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names:
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- joint_1
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- joint_2
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- '...'
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action:
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dtype: float32
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shape:
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- 7
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names:
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- action_1
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- action_2
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- '...'
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timestamp:
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dtype: float64
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frame_index:
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dtype: int64
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episode_index:
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dtype: int64
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subtask_annotation:
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dtype: string
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scene_annotation:
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dtype: string
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eef_sim_pose_state:
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dtype: float32
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shape:
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- 7
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names:
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- x
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- qy
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- qz
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- qw
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```
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## Meta Information
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The complete dataset metadata is available in [meta/info.json](meta/info.json):
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```
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## Available Annotations
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This dataset includes rich annotations to support diverse learning approaches:
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- `subtask_annotation`
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- `scene_annotation`
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- `eef_direction`
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- `eef_velocity`
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- `eef_acc_mag`
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- `gripper_mode`
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- `gripper_activity`
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## Dataset Tags
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- `RoboCOIN`
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- `LeRobot`
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## Authors
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### Contributors
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This dataset is contributed by:-[RoboCOIN](https://flagopen.github.io/RoboCOIN/) - RoboCOIN Team
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### Annotators
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This dataset is annotated by:- RoboCOIN- [https://flagopen.github.io/RoboCOIN/](https://flagopen.github.io/RoboCOIN/)- - RoboCOIN Team
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## Links
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- **Homepage:** [https://flagopen.github.io/RoboCOIN/](https://flagopen.github.io/RoboCOIN/)
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- **Paper:** [https://arxiv.org/abs/2511.17441](https://arxiv.org/abs/2511.17441)
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- **Repository:** [https://github.com/FlagOpen/RoboCOIN](https://github.com/FlagOpen/RoboCOIN)
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- **License:** apache-2.0
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## Contact and Support
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For questions, issues, or feedback regarding this dataset, please contact:
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- **Email:** robocoin@baai.ac.cn
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### Support
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For technical support, please open an issue on our GitHub repository.
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## License
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This dataset is released under the **apache-2.0** license.
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Please refer to the LICENSE file for full license terms and conditions.
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## Citation
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If you use this dataset in your research, please cite:
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If you use this dataset, please also consider citing:
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- LeRobot Framework: https://github.com/huggingface/lerobot
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## Version Information
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## Version History
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- v1.0.0 (2025-11): Initial release
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## Dataset Description
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This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
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