Copy Cobot_Magic_pour_drink into RoboCOIN_useable

.gitattributes

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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+Cobot_Magic_pour_drink/meta/episodes_stats.jsonl filter=lfs diff=lfs merge=lfs -text

Cobot_Magic_pour_drink/.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
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+*.mds filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
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+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text
+meta/episodes_stats.jsonl filter=lfs diff=lfs merge=lfs -text

Cobot_Magic_pour_drink/README.md

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+---
+task_categories:
+  - robotics
+
+language:
+  - en
+  - zh
+
+
+extra_gated_prompt: 'By accessing this dataset, you agree to cite the associated paper in your research/publications—see the "Citation" section for details. You agree to not use the dataset to conduct experiments that cause harm to human subjects.'
+
+
+
+extra_gated_fields:
+
+  Company/Organization:
+    type: 'text'
+    description: 'e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"'
+
+  Country:
+    type: 'country'
+    description: 'e.g., "Germany", "China", "United States"'
+
+
+
+tags:
+  - RoboCOIN
+  - LeRobot
+
+frame_range: 100K-1M
+
+license: apache-2.0
+
+configs:
+- config_name: default
+  data_files: data/*/*.parquet
+---
+
+# Cobot_Magic_pour_drink
+
+## 📋 Overview
+
+This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
+
+**Robot Type:** `agilex_cobot_decoupled_magic`
+ | **Codebase Version:** `v2.1`
+**End-Effector Type:** `two_finger_gripper`
+
+## 🏠 Scene Types
+
+This dataset covers the following scene types:
+- `home`
+
+
+## 🤖 Atomic Actions
+
+This dataset includes the following atomic actions:
+- `grasp`
+- `pick`
+- `place`
+- `pour`
+
+
+## 📊 Dataset Statistics
+
+| Metric | Value |
+|--------|-------|
+| **Total Episodes** | 1613 |
+| **Total Frames** | 862292 |
+| **Total Tasks** | 61 |
+| **Total Videos** | 4839 |
+| **Total Chunks** | 2 |
+| **Chunk Size** | 1000 |
+| **FPS** | 30 |
+| **Dataset Size** | 12.6GB |
+
+
+## 👥 Authors
+
+### Contributors
+This dataset is contributed by:
+- [RoboCOIN](https://flagopen.github.io/RoboCOIN/) - RoboCOIN Team
+
+
+## 🔗 Links
+
+- **🏠 Homepage:** [https://flagopen.github.io/RoboCOIN/](https://flagopen.github.io/RoboCOIN/)
+- **📄 Paper:** [https://arxiv.org/abs/2511.17441](https://arxiv.org/abs/2511.17441)
+- **💻 Repository:** [https://github.com/FlagOpen/RoboCOIN](https://github.com/FlagOpen/RoboCOIN)
+- **🌐 Project Page:** [https://flagopen.github.io/RoboCOIN/](https://flagopen.github.io/RoboCOIN/)
+- **🐛 Issues:** [https://github.com/FlagOpen/RoboCOIN/issues](https://github.com/FlagOpen/RoboCOIN/issues)
+- **📜 License:** apache-2.0
+
+## 🏷️ Dataset Tags
+
+- `RoboCOIN`
+- `LeRobot`
+
+
+## 🎯 Task Descriptions
+
+### Primary Tasks
+fill the black mug completely with NFC orange juice.
+pour half of the NFC orange juice into the black mug.
+pour three quarters of the NFC orange juice into the black mug.
+pour quarter of the NFC orange juice into the black mug.
+fill the paper cup completely with NFC orange juice.
+pour half of the NFC orange juice into the paper cup.
+pour three quarters of the NFC orange juice into the paper cup.
+pour quarter of the NFC orange juice into the paper cup.
+fill the transparent cup completely with NFC orange juice.
+pour half of the NFC orange juice into the transparent cup.
+pour three quarters of the NFC orange juice into the transparent cup.
+pour quarter of the NFC orange juice into the transparent cup.
+fill the black mug completely with red wine.
+pour half of the red wine into the black mug.
+pour three quarters of the red wine into the black mug.
+pour quarter of the red wine into the black mug.
+fill the paper cup completely with red wine.
+pour half of the red wine into the paper cup.
+pour three quarters of the red wine into the paper cup.
+pour quarter of the red wine into the paper cup.
+fill the transparent cup completely with red wine.
+pour half of the red wine into the transparent cup.
+pour three quarters of the red wine into the transparent cup.
+pour quarter of the red wine into the transparent cup.
+fill the black mug completely with sprite.
+pour half of the sprite into the black mug.
+pour three quarters of the sprite into the black mug.
+pour quarter of the sprite into the black mug.
+fill the paper cup completely with sprite.
+pour half of the sprite into the paper cup.
+pour three quarters of the sprite into the paper cup.
+pour quarter of the sprite into the paper cup.
+fill the transparent cup completely with sprite.
+pour half of the sprite into the transparent cup.
+pour three quarters of the sprite into the transparent cup.
+pour quarter of the sprite into the transparent cup.
+pour the cestbon into the black cup.
+pour the cestbon into the gray cup.
+pour the cestbon into the red cup.
+pour the cestbon into the white cup.
+pour the cestbon into the yellow cup.
+pour the coffee into the black cup.
+pour the coffee into the gray cup.
+pour the coffee into the white cup.
+pour the coffee into the yellow cup.
+pour the coffee into the red cup.
+pour the cola into the black cup.
+pour the cola into the gray cup.
+pour the cola into the red cup.
+pour the cola into the white cup.
+pour the cola into the yellow cup.
+pour the milk into the black cup.
+pour the milk into the gray cup.
+pour the milk into the red cup.
+pour the milk into the white cup.
+pour the milk into the yellow cup.
+pour the sprite into the black cup.
+pour the sprite into the gray cup.
+pour the sprite into the red cup.
+pour the sprite into the yellow cup.
+pour the sprite into the white cup.
+
+### Sub-Tasks
+This dataset includes 57 distinct subtasks:
+
+1. **Grasp the black cup with left gripper** 
+2. **Grasp the white cup with right gripper** 
+3. **Static** 
+4. **Place the orange juice bottle on the table with left gripper** 
+5. **Lift the black cup with left gripper** 
+6. **Place the water bottle on the table with right gripper** 
+7. **Place the grey cup on the table with left gripper** 
+8. **End** 
+9. **Place the sprite bottle on the table with right gripper** 
+10. **Lift the red cup with left gripper** 
+11. **Place the cola bottle on the table with left gripper** 
+12. **Grasp the bottle with cola with right gripper** 
+13. **Grasp the bottle with sprite with left gripper** 
+14. **Pour the water from bottle to cup with right gripper** 
+15. **Place the coffee bottle on the table with right gripper** 
+16. **Grasp the bottle with orange juice with left gripper** 
+17. **Pour the red wine from bottle to cup with left gripper** 
+18. **Place the black cup in the center of view with right gripper** 
+19. **Place the transparent cup on the table with right gripper** 
+20. **Place the white cup on the table with right gripper** 
+21. **Grasp the bottle filled water with right gripper** 
+22. **Grasp the bottle with coffee with right gripper** 
+23. **Place the yellow paper cup on the table with left gripper** 
+24. **Pour the yuexian Milk from bottle to cup with right gripper** 
+25. **Grasp the bottle with red wine with left gripper** 
+26. **Grasp the black cup with right gripper** 
+27. **Place the white cup on the table with left gripper** 
+28. **Grasp the yellow paper cup with right gripper** 
+29. **Grasp the yellow paper cup with left gripper** 
+30. **Pour the orange juice from bottle to cup with left gripper** 
+31. **Grasp the bottle with water with right gripper** 
+32. **Pour the yogurt from bottle to cup with left gripper** 
+33. **Grasp the bottle with yuexian Milk with right gripper** 
+34. **Place the yellow paper cup on the table with right gripper** 
+35. **Pour the cola from bottle to cup with right gripper** 
+36. **Abnormal** 
+37. **Grasp the white cup with left gripper** 
+38. **Pour the sprite from bottle to cup with left gripper** 
+39. **Lift the grey cup with left gripper** 
+40. **Place the black cup on the table with left gripper** 
+41. **Grasp the red cup with left gripper** 
+42. **Place the red cup on the table with left gripper** 
+43. **Lift the yellow paper cup with right gripper** 
+44. **Grasp the grey cup with left gripper** 
+45. **Place the yuexian Milk bottle on the table with right gripper** 
+46. **Lift the yellow paper cup with left gripper** 
+47. **Place the sprite bottle on the table with left gripper** 
+48. **Lift the white cup with left gripper** 
+49. **Place the cola bottle on the table with right gripper** 
+50. **Pour the sprite from bottle to cup with right gripper** 
+51. **Place the red wine bottle on the table with left gripper** 
+52. **Lift the white cup with right gripper** 
+53. **Grasp the transparent cup with right gripper** 
+54. **Grasp the bottle with sprite with right gripper** 
+55. **Pour the coffee from bottle to cup with right gripper** 
+56. **Lift the grey cup with right gripper** 
+57. **null** 
+
+
+## 🎥 Camera Views
+
+This dataset includes 3 camera views.
+
+## 🏷️ Available Annotations
+
+This dataset includes rich annotations to support diverse learning approaches:
+
+### Subtask Annotations
+- **Subtask Segmentation**: Fine-grained subtask segmentation and labeling
+### Scene Annotations
+- **Scene-level Descriptions**: Semantic scene classifications and descriptions
+### End-Effector Annotations
+- **Direction**: Movement direction classifications for robot end-effectors
+- **Velocity**: Velocity magnitude categorizations during manipulation
+- **Acceleration**: Acceleration magnitude classifications for motion analysis
+
+
+### Gripper Annotations
+- **Gripper Mode**: Open/close state annotations for gripper control
+- **Gripper Activity**: Activity state classifications (active/inactive)
+
+
+### Additional Features
+- **End-Effector Simulation Pose**: 6D pose information for end-effectors in simulation space
+  - Available for both state and action
+- **Gripper Opening Scale**: Continuous gripper opening measurements
+  - Available for both state and action
+
+
+## 📂 Data Splits
+
+The dataset is organized into the following splits:
+
+- **Training**: Episodes 0:1612
+
+
+## 📁 Dataset Structure
+
+This dataset follows the LeRobot format and contains the following components:
+
+### Data Files
+- **Videos**: Compressed video files containing RGB camera observations
+- **State Data**: Robot joint positions, velocities, and other state information
+- **Action Data**: Robot action commands and trajectories
+- **Metadata**: Episode metadata, timestamps, and annotations
+
+### File Organization
+- **Data Path Pattern**: `data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet`
+- **Video Path Pattern**: `videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4`
+- **Chunking**: Data is organized into 2 chunk(s)
+of size 1000
+
+
+### Features Schema
+
+The dataset includes the following features:
+
+#### Visual Observations
+- **observation.images.cam_high_rgb**: video
+  - FPS: 30
+  - Codec: av1- **observation.images.cam_left_wrist_rgb**: video
+  - FPS: 30
+  - Codec: av1- **observation.images.cam_right_wrist_rgb**: video
+  - FPS: 30
+  - Codec: av1
+
+#### State and Action- **observation.state**: float32- **action**: float32
+
+#### Temporal Information
+- **timestamp**: float32
+- **frame_index**: int64
+- **episode_index**: int64
+- **index**: int64
+- **task_index**: int64
+
+
+#### Annotations
+- **subtask_annotation**: int32
+- **scene_annotation**: int32
+
+
+#### Motion Features
+- **eef_sim_pose_state**: float32
+  - Dimensions: left_eef_pos_x, left_eef_pos_y, left_eef_pos_z, left_eef_ori_x, left_eef_ori_y, left_eef_ori_z, right_eef_pos_x, right_eef_pos_y, right_eef_pos_z, right_eef_ori_x, right_eef_ori_y, right_eef_ori_z
+- **eef_sim_pose_action**: float32
+  - Dimensions: left_eef_pos_x, left_eef_pos_y, left_eef_pos_z, left_eef_ori_x, left_eef_ori_y, left_eef_ori_z, right_eef_pos_x, right_eef_pos_y, right_eef_pos_z, right_eef_ori_x, right_eef_ori_y, right_eef_ori_z
+- **eef_direction_state**: int32
+  - Dimensions: left_eef_direction, right_eef_direction
+- **eef_direction_action**: int32
+  - Dimensions: left_eef_direction, right_eef_direction
+- **eef_velocity_state**: int32
+  - Dimensions: left_eef_velocity, right_eef_velocity
+- **eef_velocity_action**: int32
+  - Dimensions: left_eef_velocity, right_eef_velocity
+- **eef_acc_mag_state**: int32
+  - Dimensions: left_eef_acc_mag, right_eef_acc_mag
+- **eef_acc_mag_action**: int32
+  - Dimensions: left_eef_acc_mag, right_eef_acc_mag
+
+
+#### Gripper Features
+- **gripper_open_scale_state**: float32
+  - Dimensions: left_gripper_open_scale, right_gripper_open_scale
+- **gripper_open_scale_action**: float32
+  - Dimensions: left_gripper_open_scale, right_gripper_open_scale
+- **gripper_mode_state**: int32
+  - Dimensions: left_gripper_mode, right_gripper_mode
+- **gripper_mode_action**: int32
+  - Dimensions: left_gripper_mode, right_gripper_mode
+- **gripper_activity_state**: int32
+  - Dimensions: left_gripper_activity, right_gripper_activity
+
+
+### Meta Information
+
+The complete dataset metadata is available in [meta/info.json](meta/info.json):
+
+```json
+{"codebase_version": "v2.1", "robot_type": "agilex_cobot_decoupled_magic", "total_episodes": 1613, "total_frames": 862292, "total_tasks": 61, "total_videos": 4839, "total_chunks": 2, "chunks_size": 1000, "fps": 30, "splits": {"train": "0:1612"}, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": {"observation.images.cam_high_rgb": {"dtype": "video", "shape": [480, 640, 3], "names": ["height", "width", "channels"], "info": {"video.height": 480, "video.width": 640, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false}}, "observation.images.cam_left_wrist_rgb": {"dtype": "video", "shape": [480, 640, 3], "names": ["height", "width", "channels"], "info": {"video.height": 480, "video.width": 640, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false}}, "observation.images.cam_right_wrist_rgb": {"dtype": "video", "shape": [480, 640, 3], "names": ["height", "width", "channels"], "info": {"video.height": 480, "video.width": 640, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false}}, "observation.state": {"dtype": "float32", "shape": [26], "names": ["left_arm_joint_1_rad", "left_arm_joint_2_rad", "left_arm_joint_3_rad", "left_arm_joint_4_rad", "left_arm_joint_5_rad", "left_arm_joint_6_rad", "left_gripper_open", "left_eef_pos_x_m", "left_eef_pos_y_m", "left_eef_pos_z_m", "left_eef_rot_euler_x_rad", "left_eef_rot_euler_y_rad", "left_eef_rot_euler_z_rad", "right_arm_joint_1_rad", "right_arm_joint_2_rad", "right_arm_joint_3_rad", "right_arm_joint_4_rad", "right_arm_joint_5_rad", "right_arm_joint_6_rad", "right_gripper_open", "right_eef_pos_x_m", "right_eef_pos_y_m", "right_eef_pos_z_m", "right_eef_rot_euler_x_rad", "right_eef_rot_euler_y_rad", "right_eef_rot_euler_z_rad"]}, "action": {"dtype": "float32", "shape": [26], "names": ["left_arm_joint_1_rad", "left_arm_joint_2_rad", "left_arm_joint_3_rad", "left_arm_joint_4_rad", "left_arm_joint_5_rad", "left_arm_joint_6_rad", "left_gripper_open", "left_eef_pos_x_m", "left_eef_pos_y_m", "left_eef_pos_z_m", "left_eef_rot_euler_x_rad", "left_eef_rot_euler_y_rad", "left_eef_rot_euler_z_rad", "right_arm_joint_1_rad", "right_arm_joint_2_rad", "right_arm_joint_3_rad", "right_arm_joint_4_rad", "right_arm_joint_5_rad", "right_arm_joint_6_rad", "right_gripper_open", "right_eef_pos_x_m", "right_eef_pos_y_m", "right_eef_pos_z_m", "right_eef_rot_euler_x_rad", "right_eef_rot_euler_y_rad", "right_eef_rot_euler_z_rad"]}, "timestamp": {"dtype": "float32", "shape": [1], "names": null}, "frame_index": {"dtype": "int64", "shape": [1], "names": null}, "episode_index": {"dtype": "int64", "shape": [1], "names": null}, "index": {"dtype": "int64", "shape": [1], "names": null}, "task_index": {"dtype": "int64", "shape": [1], "names": null}, "subtask_annotation": {"names": null, "dtype": "int32", "shape": [5]}, "scene_annotation": {"names": null, "dtype": "int32", "shape": [1]}, "eef_sim_pose_state": {"names": ["left_eef_pos_x", "left_eef_pos_y", "left_eef_pos_z", "left_eef_ori_x", "left_eef_ori_y", "left_eef_ori_z", "right_eef_pos_x", "right_eef_pos_y", "right_eef_pos_z", "right_eef_ori_x", "right_eef_ori_y", "right_eef_ori_z"], "dtype": "float32", "shape": [12]}, "eef_sim_pose_action": {"names": ["left_eef_pos_x", "left_eef_pos_y", "left_eef_pos_z", "left_eef_ori_x", "left_eef_ori_y", "left_eef_ori_z", "right_eef_pos_x", "right_eef_pos_y", "right_eef_pos_z", "right_eef_ori_x", "right_eef_ori_y", "right_eef_ori_z"], "dtype": "float32", "shape": [12]}, "eef_direction_state": {"names": ["left_eef_direction", "right_eef_direction"], "dtype": "int32", "shape": [2]}, "eef_direction_action": {"names": ["left_eef_direction", "right_eef_direction"], "dtype": "int32", "shape": [2]}, "eef_velocity_state": {"names": ["left_eef_velocity", "right_eef_velocity"], "dtype": "int32", "shape": [2]}, "eef_velocity_action": {"names": ["left_eef_velocity", "right_eef_velocity"], "dtype": "int32", "shape": [2]}, "eef_acc_mag_state": {"names": ["left_eef_acc_mag", "right_eef_acc_mag"], "dtype": "int32", "shape": [2]}, "eef_acc_mag_action": {"names": ["left_eef_acc_mag", "right_eef_acc_mag"], "dtype": "int32", "shape": [2]}, "gripper_open_scale_state": {"names": ["left_gripper_open_scale", "right_gripper_open_scale"], "dtype": "float32", "shape": [2]}, "gripper_open_scale_action": {"names": ["left_gripper_open_scale", "right_gripper_open_scale"], "dtype": "float32", "shape": [2]}, "gripper_mode_state": {"names": ["left_gripper_mode", "right_gripper_mode"], "dtype": "int32", "shape": [2]}, "gripper_mode_action": {"names": ["left_gripper_mode", "right_gripper_mode"], "dtype": "int32", "shape": [2]}, "gripper_activity_state": {"names": ["left_gripper_activity", "right_gripper_activity"], "dtype": "int32", "shape": [2]}}}
+```
+
+### Directory Structure
+
+The dataset is organized as follows (showing leaf directories with first 5 files only):
+
+```
+Cobot_Magic_pour_drink_qced_hardlink/
+├── annotations/
+│   ├── eef_acc_mag_annotation.jsonl
+│   ├── eef_direction_annotation.jsonl
+│   ├── eef_velocity_annotation.jsonl
+│   ├── gripper_activity_annotation.jsonl
+│   ├── gripper_mode_annotation.jsonl
+│   └── (...)
+├── data/
+│   ├── chunk-000/
+│   │   ├── episode_000000.parquet
+│   │   ├── episode_000001.parquet
+│   │   ├── episode_000002.parquet
+│   │   ├── episode_000003.parquet
+│   │   ├── episode_000004.parquet
+│   │   └── (...)
+│   └── chunk-001/
+│       ├── episode_001000.parquet
+│       ├── episode_001001.parquet
+│       ├── episode_001002.parquet
+│       ├── episode_001003.parquet
+│       ├── episode_001004.parquet
+│       └── (...)
+├── meta/
+│   ├── episodes.jsonl
+│   ├── episodes_stats.jsonl
+│   ├── info.json
+│   └── tasks.jsonl
+└── videos/
+    ├── chunk-000/
+    │   ├── observation.images.cam_high_rgb/
+    │   │   ├── episode_000000.mp4
+    │   │   ├── episode_000001.mp4
+    │   │   ├── episode_000002.mp4
+    │   │   ├── episode_000003.mp4
+    │   │   ├── episode_000004.mp4
+    │   │   └── (...)
+    │   ├── observation.images.cam_left_wrist_rgb/
+    │   │   ├── episode_000000.mp4
+    │   │   ├── episode_000001.mp4
+    │   │   ├── episode_000002.mp4
+    │   │   ├── episode_000003.mp4
+    │   │   ├── episode_000004.mp4
+    │   │   └── (...)
+    │   └── observation.images.cam_right_wrist_rgb/
+    │       ├── episode_000000.mp4
+    │       ├── episode_000001.mp4
+    │       ├── episode_000002.mp4
+    │       ├── episode_000003.mp4
+    │       ├── episode_000004.mp4
+    │       └── (...)
+    └── chunk-001/
+        ├── observation.images.cam_high_rgb/
+        │   ├── episode_001000.mp4
+        │   ├── episode_001001.mp4
+        │   ├── episode_001002.mp4
+        │   ├── episode_001003.mp4
+        │   ├── episode_001004.mp4
+        │   └── (...)
+        ├── observation.images.cam_left_wrist_rgb/
+        │   ├── episode_001000.mp4
+        │   ├── episode_001001.mp4
+        │   ├── episode_001002.mp4
+        │   ├── episode_001003.mp4
+        │   ├── episode_001004.mp4
+        │   └── (...)
+        └── observation.images.cam_right_wrist_rgb/
+            ├── episode_001000.mp4
+            ├── episode_001001.mp4
+            ├── episode_001002.mp4
+            ├── episode_001003.mp4
+            ├── episode_001004.mp4
+            └── (...)
+```
+
+
+## 📞 Contact and Support
+
+For questions, issues, or feedback regarding this dataset, please contact:
+- **Email:** None
+For questions, issues, or feedback regarding this dataset, please contact us.
+### Support
+For technical support, please open an issue on our GitHub repository.
+
+## 📄 License
+
+This dataset is released under the **apache-2.0** license.
+
+Please refer to the LICENSE file for full license terms and conditions.
+
+
+## 📚 Citation
+
+If you use this dataset in your research, please cite:
+
+```bibtex
+@article{robocoin,
+    title={RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation},
+    author={Shihan Wu, Xuecheng Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin, Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang, Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie, Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian, Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong, He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang, Yonghua Lin, Zhongyuan Wang and Guocai Yao},
+    journal={arXiv preprint arXiv:2511.17441},
+    url = {https://arxiv.org/abs/2511.17441},
+    year={2025}
+    }
+```
+
+### Additional References
+
+If you use this dataset, please also consider citing:
+- LeRobot Framework: https://github.com/huggingface/lerobot
+
+## 📌 Version Information
+
+## Version History
+- v1.0.0 (2025-11): Initial release

Cobot_Magic_pour_drink/annotations/eef_acc_mag_annotation.jsonl

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+{"gripper_activity_index": 1, "gripper_activity": "closing"}
+{"gripper_activity_index": 2, "gripper_activity": "holding"}
+{"gripper_activity_index": 3, "gripper_activity": "unknown"}

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+{"subtask_index": 0, "subtask": "Grasp the black cup with left gripper"}
+{"subtask_index": 1, "subtask": "Grasp the white cup with right gripper"}
+{"subtask_index": 2, "subtask": "Static"}
+{"subtask_index": 3, "subtask": "Place the orange juice bottle on the table with left gripper"}
+{"subtask_index": 4, "subtask": "Lift the black cup with left gripper"}
+{"subtask_index": 5, "subtask": "Place the water bottle on the table with right gripper"}
+{"subtask_index": 6, "subtask": "Place the grey cup on the table with left gripper"}
+{"subtask_index": 7, "subtask": "End"}
+{"subtask_index": 8, "subtask": "Place the sprite bottle on the table with right gripper"}
+{"subtask_index": 9, "subtask": "Lift the red cup with left gripper"}
+{"subtask_index": 10, "subtask": "Place the cola bottle on the table with left gripper"}
+{"subtask_index": 11, "subtask": "Grasp the bottle with cola with right gripper"}
+{"subtask_index": 12, "subtask": "Grasp the bottle with sprite with left gripper"}
+{"subtask_index": 13, "subtask": "Pour the water from bottle to cup with right gripper"}
+{"subtask_index": 14, "subtask": "Place the coffee bottle on the table with right gripper"}
+{"subtask_index": 15, "subtask": "Grasp the bottle with orange juice with left gripper"}
+{"subtask_index": 16, "subtask": "Pour the red wine from bottle to cup with left gripper"}
+{"subtask_index": 17, "subtask": "Place the black cup in the center of view with right gripper"}
+{"subtask_index": 18, "subtask": "Place the transparent cup on the table with right gripper"}
+{"subtask_index": 19, "subtask": "Place the white cup on the table with right gripper"}
+{"subtask_index": 20, "subtask": "Grasp the bottle filled water with right gripper"}
+{"subtask_index": 21, "subtask": "Grasp the bottle with coffee with right gripper"}
+{"subtask_index": 22, "subtask": "Place the yellow paper cup on the table with left gripper"}
+{"subtask_index": 23, "subtask": "Pour the yuexian Milk from bottle to cup with right gripper"}
+{"subtask_index": 24, "subtask": "Grasp the bottle with red wine with left gripper"}
+{"subtask_index": 25, "subtask": "Grasp the black cup with right gripper"}
+{"subtask_index": 26, "subtask": "Place the white cup on the table with left gripper"}
+{"subtask_index": 27, "subtask": "Grasp the yellow paper cup with right gripper"}
+{"subtask_index": 28, "subtask": "Grasp the yellow paper cup with left gripper"}
+{"subtask_index": 29, "subtask": "Pour the orange juice from bottle to cup with left gripper"}
+{"subtask_index": 30, "subtask": "Grasp the bottle with water with right gripper"}
+{"subtask_index": 31, "subtask": "Pour the yogurt from bottle to cup with left gripper"}
+{"subtask_index": 32, "subtask": "Grasp the bottle with yuexian Milk with right gripper"}
+{"subtask_index": 33, "subtask": "Place the yellow paper cup on the table with right gripper"}
+{"subtask_index": 34, "subtask": "Pour the cola from bottle to cup with right gripper"}
+{"subtask_index": 35, "subtask": "Abnormal"}
+{"subtask_index": 36, "subtask": "Grasp the white cup with left gripper"}
+{"subtask_index": 37, "subtask": "Pour the sprite from bottle to cup with left gripper"}
+{"subtask_index": 38, "subtask": "Lift the grey cup with left gripper"}
+{"subtask_index": 39, "subtask": "Place the black cup on the table with left gripper"}
+{"subtask_index": 40, "subtask": "Grasp the red cup with left gripper"}
+{"subtask_index": 41, "subtask": "Place the red cup on the table with left gripper"}
+{"subtask_index": 42, "subtask": "Lift the yellow paper cup with right gripper"}
+{"subtask_index": 43, "subtask": "Grasp the grey cup with left gripper"}
+{"subtask_index": 44, "subtask": "Place the yuexian Milk bottle on the table with right gripper"}
+{"subtask_index": 45, "subtask": "Lift the yellow paper cup with left gripper"}
+{"subtask_index": 46, "subtask": "Place the sprite bottle on the table with left gripper"}
+{"subtask_index": 47, "subtask": "Lift the white cup with left gripper"}
+{"subtask_index": 48, "subtask": "Place the cola bottle on the table with right gripper"}
+{"subtask_index": 49, "subtask": "Pour the sprite from bottle to cup with right gripper"}
+{"subtask_index": 50, "subtask": "Place the red wine bottle on the table with left gripper"}
+{"subtask_index": 51, "subtask": "Lift the white cup with right gripper"}
+{"subtask_index": 52, "subtask": "Grasp the transparent cup with right gripper"}
+{"subtask_index": 53, "subtask": "Grasp the bottle with sprite with right gripper"}
+{"subtask_index": 54, "subtask": "Pour the coffee from bottle to cup with right gripper"}
+{"subtask_index": 55, "subtask": "Lift the grey cup with right gripper"}
+{"subtask_index": 56, "subtask": "null"}

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