Agilex_Split_Aloha_food_packaging

# Agilex_Split_Aloha_food_packaging ## 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_high_rgb/episode_000000.mp4" controls width="640"></video> [View Video Directly](videos/chunk-000/observation.images.cam_high_rgb/episode_000000.mp4) ### Overview - **Total Episodes:** 830 - **Total Frames:** 1499538 - **FPS:** 30 - **Dataset Size:** 25.84 GB - **Robot Name:** `Agilex_Split_Aloha` - **End-Effector Type:** `two_finger_end_effector` - **Teleoperation Type:** `Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.` - **Sensors:** `cam_high_rgb`, `cam_left_wrist_rgb`, `cam_right_wrist_rgb` - **Camera Information:** cam_high_rgb; cam_left_wrist_rgb; cam_right_wrist_rgb - **Scene:** `kitchen` - **Objects:** `table(unknown)`, `lunch_box(unknown)`, `banana(unknown)`, `bread(unknown)`, `pear(unknown)`, `cucumber(unknown)`, `bag(unknown)`, `lemon(unknown)` - **Task Description:** Place the lunch box, banana, and bread into the big packaging bag with the gripper., Place the lunch box, cucumber, and pear into the small packaging bag with the gripper. ### Primary Task Instruction > Place the lunch box, banana, and bread into the big packaging bag with the gripper., Place the lunch box, cucumber, and pear into the small packaging bag with the gripper. ### Robot Configuration - **Robot Name:** `Agilex_Split_Aloha` - **Codebase Version:** `v2.1` - **End-Effector Type:** `two_finger_end_effector` - **Teleoperation Type:** `Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.` ## Scene and Objects ### Scene Type - `kitchen` ### Objects - `table(unknown)` - `lunch_box(unknown)` - `banana(unknown)` - `bread(unknown)` - `pear(unknown)` - `cucumber(unknown)` - `bag(unknown)` - `lemon(unknown)` ## Task Descriptions - **Standardized Task Description:** `Place the lunch box, banana, and bread into the big packaging bag with the gripper., Place the lunch box, cucumber, and pear into the small packaging bag with the gripper.` - **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 51 distinct subtasks: 1. **Place the banana into the package.** (Index: 0) 2. **Right gripper grabs cucumber.** (Index: 1) 3. **Right gripper moves lunch bag.** (Index: 2) 4. **Right gripper grabs lunch bag.** (Index: 3) 5. **Discard.** (Index: 4) 6. **end.** (Index: 5) 7. **Right gripper grabs banana.** (Index: 6) 8. **Grasp the box with the right gripper.** (Index: 7) 9. **Grasp the package with the left gripper.** (Index: 8) 10. **Left gripper grabs lunch box.** (Index: 9) 11. **grasp the package and Pick up the bread.** (Index: 10) 12. **End.** (Index: 11) 13. **Left gripper secures lunch bag.** (Index: 12) 14. **Abnormal.** (Index: 13) 15. **Place the lemon into the package with the right gripper.** (Index: 14) 16. **Grasp the banana with the right gripper.** (Index: 15) 17. **Right gripper grabs lunch box.** (Index: 16) 18. **Left gripper stands lunch bag upright.** (Index: 17) 19. **Place the pear into the package with the right gripper.** (Index: 18) 20. **Place the pear into the package.** (Index: 19) 21. **Grasp the cucumber with the right gripper.** (Index: 20) 22. **Place the box into the package.** (Index: 21) 23. **grasp the package and Pick up the box.** (Index: 22) 24. **grasp the package and Pick up the cucumber.** (Index: 23) 25. **Right gripper stands lunch bag upright.** (Index: 24) 26. **Pick up the banana.** (Index: 25) 27. **Right gripper grabs lemon.** (Index: 26) 28. **Place the banana into the package with the right gripper.** (Index: 27) 29. **Place the bread into the package.** (Index: 28) 30. **Right gripper places into bag.** (Index: 29) 31. **Left gripper moves lunch bag.** (Index: 30) 32. **Grasp the lemon with the right gripper.** (Index: 31) 33. **Right gripper grabs bread.** (Index: 32) 34. **Pick up the pear.** (Index: 33) 35. **zip up the zipper to close the bag.** (Index: 34) 36. **Pick up the box.** (Index: 35) 37. **Right gripper grabs pear.** (Index: 36) 38. **abnormal.** (Index: 37) 39. **Right gripper pulls zipper.** (Index: 38) 40. **Pick up the bread.** (Index: 39) 41. **Grasp the pear with the right gripper.** (Index: 40) 42. **Pick up the cucumber.** (Index: 41) 43. **grasp the package and Pick up the pear.** (Index: 42) 44. **Place the box into the package with the right gripper.** (Index: 43) 45. **Place the cucumber into the package with the right gripper.** (Index: 44) 46. **Right gripper receives lunch box.** (Index: 45) 47. **grasp the package and Pick up the banana.** (Index: 46) 48. **Left gripper grabs lunch bag.** (Index: 47) 49. **Left gripper lifts lunch box.** (Index: 48) 50. **Place the cucumber into the package.** (Index: 49) 51. **null.** (Index: 50) ### Atomic Actions - `grasp` - `pull` - `place` - `pick` ## Hardware and Sensors ### Sensors - `cam_high_rgb` - `cam_left_wrist_rgb` - `cam_right_wrist_rgb` ### Camera Information - `cam_high_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 ### Coordinate System - **Definition:** `right-hand-frame` ### Dimensions & Units - **Joint Rotation:** `radian` - **End-Effector Rotation:** `radian` - **End-Effector Translation:** `meter` ## Dataset Statistics | Metric | Value | |--------|-------| | **Total Episodes** | 830 | | **Total Frames** | 1499538 | | **Total Tasks** | 51 | | **Total Videos** | 2490 | | **Total Chunks** | 1 | | **Chunk Size** | 1000 | | **FPS** | 30 | | **State Dimensions** | 26 | | **Action Dimensions** | 26 | | **Camera Views** | 3 | | **Dataset Size** | 25.84 GB | ## Data Splits The dataset is organized into the following splits: - **Training**: Episodes 0:829 ## 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_high_rgb/episode_{id}.mp{id}` - **Chunking**: Data is organized into 1 chunk(s) of size 1000 ### Data Structure (Tree) ``` Cobot_Magic_food_packaging_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 | `-- subtasks.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 | `-- ... (818 more entries) |-- meta | |-- episodes.jsonl | |-- episodes_stats.jsonl | |-- info.json | `-- tasks.jsonl |-- videos | `-- chunk-000 | |-- observation.images.cam_high_rgb | |-- observation.images.cam_left_wrist_rgb | `-- observation.images.cam_right_wrist_rgb `-- README.md ``` ## Camera Views This dataset includes 3 camera views: `cam_high_rgb`, `cam_left_wrist_rgb`, `cam_right_wrist_rgb`. ## Features (Full YAML) ```yaml 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 ``` ## 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` - `subtasks.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