Upload dataset Airbot_MMK2_storage_bell_pepper

README.md

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+---
+task_categories:
+  - robotics
+
+language:
+  - en
+
+
+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
+
+license: apache-2.0
+
+configs:
+- config_name: default
+  data_files: data/chunk-{id}/episode_{id}.parquet
+---
+
+# Airbot_MMK2_storage_bell_pepper
+
+## Dataset Description
+
+This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
+
+## Task Preview
+
+<video src="videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4" controls width="640"></video>
+
+[View Video Directly](videos/chunk-000/observation.images.cam_front_rgb/episode_000000.mp4)
+
+### Overview
+
+- **Total Episodes:** 48
+- **Total Frames:** 7525
+- **FPS:** 30
+- **Dataset Size:** 200.59 MB
+- **Robot Name:** `Airbot_MMK2`
+- **End-Effector Type:** `five_finger_gripper`
+- **Teleoperation Type:** `Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.`
+- **Sensors:** `cam_head_rgb`, 
+`cam_left_wrist_rgb`, 
+`cam_right_wrist_rgb`, 
+`cam_front_rgb`
+
+- **Camera Information:** cam_head_rgb; 
+cam_left_wrist_rgb; 
+cam_right_wrist_rgb; 
+cam_front_rgb
+
+- **Scene:** `scene_level1->scene_level2`
+- **Objects:** `red_bell_pepper(unknown)`, 
+`yellow_bell_pepper(unknown)`, 
+`white_basket(unknown)`
+
+- **Task Description:** put the red peppers and yellow peppers into the box.
+
+
+### Primary Task Instruction
+> put the red peppers and yellow peppers into the box.
+
+### Robot Configuration
+
+- **Robot Name:** `Airbot_MMK2`
+- **Codebase Version:** `v2.1`
+- **End-Effector Type:** `five_finger_gripper`
+- **Teleoperation Type:** `Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.`
+
+## Scene and Objects
+
+### Scene Type
+`scene_level1->scene_level2`
+
+### Objects
+- `red_bell_pepper(unknown)`
+- `yellow_bell_pepper(unknown)`
+- `white_basket(unknown)`
+
+
+## Task Descriptions
+
+- **Standardized Task Description:** `put the red peppers and yellow peppers into the box.`
+- **Operation Type:** `Due to some reasons, this dataset temporarily cannot provide the operation type information.`
+
+- **Environment Type:** `Due to some reasons, this dataset temporarily cannot provide the environment type information.`
+
+### Sub-Tasks
+This dataset includes 6 distinct subtasks:
+
+1. **Place the yellow pepper into the left compartment of the storage box with the left gripper** (Index: 0)
+2. **End** (Index: 1)
+3. **Grasp the green pepper with the right gripper** (Index: 2)
+4. **Place the green pepper into the right compartment of the storage box with the right gripper** (Index: 3)
+5. **Grasp the yellow pepper with the left gripper** (Index: 4)
+6. **null** (Index: 5)
+
+
+### Atomic Actions
+- `grasp`
+- `pick`
+- `place`
+
+
+## Hardware and Sensors
+
+
+### Sensors
+
+- `cam_head_rgb`
+
+- `cam_left_wrist_rgb`
+
+- `cam_right_wrist_rgb`
+
+- `cam_front_rgb`
+
+
+
+
+### Camera Information
+
+
+- `cam_head_rgb`: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
+
+- `cam_left_wrist_rgb`: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
+
+- `cam_right_wrist_rgb`: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
+
+- `cam_front_rgb`: dtype=video, shape=480x640x3, resolution=640x480, codec=av1, pix_fmt=yuv420p
+
+
+
+
+### Coordinate System
+- **Definition:** `right-hand-frame`
+
+
+### Dimensions & Units
+- **Joint Rotation:** `radian`
+- **End-Effector Rotation:** `end_rotation_dim`
+- **End-Effector Translation:** `end_translation_dim`
+
+
+
+
+## Dataset Statistics
+
+| Metric | Value |
+|--------|-------|
+| **Total Episodes** | 48 |
+| **Total Frames** | 7525 |
+| **Total Tasks** | 6 |
+| **Total Videos** | 192 |
+| **Total Chunks** | 1 |
+| **Chunk Size** | 1000 |
+| **FPS** | 30 |
+| **State Dimensions** | 36 |
+| **Action Dimensions** | 36 |
+| **Camera Views** | 4 |
+| **Dataset Size** | 200.59 MB |
+
+
+## Data Splits
+
+The dataset is organized into the following splits:
+
+- **Training**: Episodes 0:47
+
+
+## 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-{id}/episode_{id}.parquet`
+- **Video Path Pattern**: `videos/chunk-{id}/observation.images.cam_left_wrist_rgb/episode_{id}.mp{id}`
+- **Chunking**: Data is organized into 1 chunk(s)
+of size 1000
+
+### Data Structure (Tree)
+
+```
+Airbot_MMK2_storage_bell_pepper_qced_hardlink/
+|-- annotations
+|   |-- eef_acc_mag_annotation.jsonl
+|   |-- eef_direction_annotation.jsonl
+|   |-- eef_velocity_annotation.jsonl
+|   |-- gripper_activity_annotation.jsonl
+|   |-- gripper_mode_annotation.jsonl
+|   |-- scene_annotations.jsonl
+|   `-- subtask_annotations.jsonl
+|-- data
+|   `-- chunk-000
+|       |-- episode_000000.parquet
+|       |-- episode_000001.parquet
+|       |-- episode_000002.parquet
+|       |-- episode_000003.parquet
+|       |-- episode_000004.parquet
+|       |-- episode_000005.parquet
+|       |-- episode_000006.parquet
+|       |-- episode_000007.parquet
+|       |-- episode_000008.parquet
+|       |-- episode_000009.parquet
+|       |-- episode_000010.parquet
+|       `-- episode_000011.parquet
+|       `-- ... (36 more entries)
+|-- meta
+|   |-- episodes.jsonl
+|   |-- episodes_stats.jsonl
+|   |-- info.json
+|   `-- tasks.jsonl
+`-- videos
+    `-- chunk-000
+        |-- observation.images.cam_front_rgb
+        |-- observation.images.cam_head_rgb
+        |-- observation.images.cam_left_wrist_rgb
+        `-- observation.images.cam_right_wrist_rgb
+```
+
+## Camera Views
+
+
+
+
+
+
+This dataset includes 4 camera views: `cam_head_rgb`, `cam_left_wrist_rgb`, `cam_right_wrist_rgb`, `cam_front_rgb`.
+
+
+## Features (Full YAML)
+
+```yaml
+observation.images.cam_head_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.images.cam_front_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:
+  - 36
+  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
+  - 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
+  - left_hand_joint_1_rad
+  - left_hand_joint_2_rad
+  - left_hand_joint_3_rad
+  - left_hand_joint_4_rad
+  - left_hand_joint_5_rad
+  - left_hand_joint_6_rad
+  - left_hand_joint_7_rad
+  - left_hand_joint_8_rad
+  - left_hand_joint_9_rad
+  - left_hand_joint_10_rad
+  - left_hand_joint_11_rad
+  - left_hand_joint_12_rad
+  - right_hand_joint_1_rad
+  - right_hand_joint_2_rad
+  - right_hand_joint_3_rad
+  - right_hand_joint_4_rad
+  - right_hand_joint_5_rad
+  - right_hand_joint_6_rad
+  - right_hand_joint_7_rad
+  - right_hand_joint_8_rad
+  - right_hand_joint_9_rad
+  - right_hand_joint_10_rad
+  - right_hand_joint_11_rad
+  - right_hand_joint_12_rad
+action:
+  dtype: float32
+  shape:
+  - 36
+  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
+  - 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
+  - left_hand_joint_1_rad
+  - left_hand_joint_2_rad
+  - left_hand_joint_3_rad
+  - left_hand_joint_4_rad
+  - left_hand_joint_5_rad
+  - left_hand_joint_6_rad
+  - left_hand_joint_7_rad
+  - left_hand_joint_8_rad
+  - left_hand_joint_9_rad
+  - left_hand_joint_10_rad
+  - left_hand_joint_11_rad
+  - left_hand_joint_12_rad
+  - right_hand_joint_1_rad
+  - right_hand_joint_2_rad
+  - right_hand_joint_3_rad
+  - right_hand_joint_4_rad
+  - right_hand_joint_5_rad
+  - right_hand_joint_6_rad
+  - right_hand_joint_7_rad
+  - right_hand_joint_8_rad
+  - right_hand_joint_9_rad
+  - right_hand_joint_10_rad
+  - right_hand_joint_11_rad
+  - right_hand_joint_12_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
+  shape:
+  - 5
+  dtype: int32
+scene_annotation:
+  names: null
+  shape:
+  - 1
+  dtype: int32
+eef_sim_pose_state:
+  names:
+  - left_eef_pos_x
+  - left_eef_pos_y
+  - left_eef_pos_z
+  - left_eef_rot_x
+  - left_eef_rot_y
+  - left_eef_rot_z
+  - right_eef_pos_x
+  - right_eef_pos_y
+  - right_eef_pos_z
+  - right_eef_rot_x
+  - right_eef_rot_y
+  - right_eef_rot_z
+  shape:
+  - 12
+  dtype: float32
+eef_sim_pose_action:
+  names:
+  - left_eef_pos_x
+  - left_eef_pos_y
+  - left_eef_pos_z
+  - left_eef_rot_x
+  - left_eef_rot_y
+  - left_eef_rot_z
+  - right_eef_pos_x
+  - right_eef_pos_y
+  - right_eef_pos_z
+  - right_eef_rot_x
+  - right_eef_rot_y
+  - right_eef_rot_z
+  shape:
+  - 12
+  dtype: float32
+eef_direction_state:
+  names:
+  - left_eef_direction
+  - right_eef_direction
+  shape:
+  - 2
+  dtype: int32
+eef_direction_action:
+  names:
+  - left_eef_direction
+  - right_eef_direction
+  shape:
+  - 2
+  dtype: int32
+eef_velocity_state:
+  names:
+  - left_eef_velocity
+  - right_eef_velocity
+  shape:
+  - 2
+  dtype: int32
+eef_velocity_action:
+  names:
+  - left_eef_velocity
+  - right_eef_velocity
+  shape:
+  - 2
+  dtype: int32
+eef_acc_mag_state:
+  names:
+  - left_eef_acc_mag
+  - right_eef_acc_mag
+  shape:
+  - 2
+  dtype: int32
+eef_acc_mag_action:
+  names:
+  - left_eef_acc_mag
+  - right_eef_acc_mag
+  shape:
+  - 2
+  dtype: int32
+
+```
+
+## Available Annotations
+
+This dataset includes rich annotations to support diverse learning approaches:
+
+- `eef_acc_mag_annotation.jsonl`
+- `eef_direction_annotation.jsonl`
+- `eef_velocity_annotation.jsonl`
+- `gripper_activity_annotation.jsonl`
+- `gripper_mode_annotation.jsonl`
+- `scene_annotations.jsonl`
+- `subtask_annotations.jsonl`
+
+
+## Dataset Tags
+
+- `RoboCOIN`
+- `LeRobot`
+
+
+## Authors
+
+### Contributors
+This dataset is contributed by:-RoboCOIN Team at Beijing Academy of Artificial Intelligence (BAAI)
+
+### Annotators
+No annotator information available.
+
+## 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)
+## Contact and Support
+
+For questions, issues, or feedback regarding this dataset, please contact us.
+### Support
+For technical support, please open an issue on our GitHub repository.
+
+## License
+
+apache-2.0
+
+## 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
+
+Initial Release

annotations/eef_acc_mag_annotation.jsonl

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+{"eef_acc_mag_index": 0, "eef_acc_mag": "constant"}
+{"eef_acc_mag_index": 1, "eef_acc_mag": "accelerating"}
+{"eef_acc_mag_index": 2, "eef_acc_mag": "decelerating"}

annotations/eef_direction_annotation.jsonl

@@ -0,0 +1,7 @@
+{"eef_direction_index": 0, "eef_direction": "forward"}
+{"eef_direction_index": 1, "eef_direction": "backward"}
+{"eef_direction_index": 2, "eef_direction": "left"}
+{"eef_direction_index": 3, "eef_direction": "right"}
+{"eef_direction_index": 4, "eef_direction": "up"}
+{"eef_direction_index": 5, "eef_direction": "down"}
+{"eef_direction_index": 6, "eef_direction": "still"}

annotations/eef_velocity_annotation.jsonl

@@ -0,0 +1,3 @@
+{"eef_velocity_index": 0, "eef_velocity": "still"}
+{"eef_velocity_index": 1, "eef_velocity": "slow"}
+{"eef_velocity_index": 2, "eef_velocity": "fast"}

annotations/gripper_activity_annotation.jsonl

@@ -0,0 +1,4 @@
+{"gripper_activity_index": 0, "gripper_activity": "openning"}
+{"gripper_activity_index": 1, "gripper_activity": "closing"}
+{"gripper_activity_index": 2, "gripper_activity": "holding"}
+{"gripper_activity_index": 3, "gripper_activity": "unknown"}

annotations/gripper_mode_annotation.jsonl

@@ -0,0 +1,3 @@
+{"gripper_mode_index": 0, "gripper_mode": "open"}
+{"gripper_mode_index": 1, "gripper_mode": "closed"}
+{"gripper_mode_index": 2, "gripper_mode": "unknown"}

annotations/scene_annotations.jsonl

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+{"scene_index": 0, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 1, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 2, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 3, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 4, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 5, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 6, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 7, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 8, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 9, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 10, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 11, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 12, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 13, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 14, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 15, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 16, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 17, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 18, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 19, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 20, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 21, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 22, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 23, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 24, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 25, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 26, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 27, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
+{"scene_index": 28, "scene": "The yellow pepper is in the back-left, the green pepper is in the back-right, and the white box is in the front"}
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