Copy AIRBOT_MMK2_storage_spoon into RoboCOIN_useable

AIRBOT_MMK2_storage_spoon/.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
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.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
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.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

AIRBOT_MMK2_storage_spoon/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: 10K-100K
+
+license: apache-2.0
+
+configs:
+- config_name: default
+  data_files: data/*/*.parquet
+---
+
+# AIRBOT_MMK2_storage_spoon
+
+## 📋 Overview
+
+This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
+
+**Robot Type:** `discover_robotics_aitbot_mmk2`
+ | **Codebase Version:** `v2.1`
+**End-Effector Type:** `five_finger_hand`
+
+## 🏠 Scene Types
+
+This dataset covers the following scene types:
+- `home`
+
+
+## 🤖 Atomic Actions
+
+This dataset includes the following atomic actions:
+- `grasp`
+- `place`
+- `pick`
+
+
+## 📊 Dataset Statistics
+
+| Metric | Value |
+|--------|-------|
+| **Total Episodes** | 49 |
+| **Total Frames** | 12204 |
+| **Total Tasks** | 1 |
+| **Total Videos** | 196 |
+| **Total Chunks** | 1 |
+| **Chunk Size** | 1000 |
+| **FPS** | 30 |
+| **Dataset Size** | 363.2MB |
+
+
+## 👥 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
+Take a spoon in one hand and put it into the basin, then take another spoon in your other hand and put it into the basin.
+
+### Sub-Tasks
+This dataset includes 7 distinct subtasks:
+
+1. **Static** 
+2. **Grasp the spoon with the right gripper** 
+3. **End** 
+4. **Grasp the spoon with the left gripper** 
+5. **Place the spoon into the basin with the right gripper** 
+6. **Place the spoon into the basin with the left gripper** 
+7. **null** 
+
+
+## 🎥 Camera Views
+
+This dataset includes 4 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 0:48
+
+
+## 📁 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 1 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- **observation.images.cam_third_view**: 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
+
+
+### Meta Information
+
+The complete dataset metadata is available in [meta/info.json](meta/info.json):
+
+```json
+{"codebase_version": "v2.1", "robot_type": "discover_robotics_aitbot_mmk2", "total_episodes": 49, "total_frames": 12204, "total_tasks": 1, "total_videos": 196, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": {"train": "0:48"}, "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.images.cam_third_view": {"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, "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]}}}
+```
+
+### Directory Structure
+
+The dataset is organized as follows (showing leaf directories with first 5 files only):
+
+```
+AIRBOT_MMK2_storage_spoon_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
+│       └── (...)
+├── 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
+        │   └── (...)
+        └── observation.images.cam_third_view/
+            ├── episode_000000.mp4
+            ├── episode_000001.mp4
+            ├── episode_000002.mp4
+            ├── episode_000003.mp4
+            ├── episode_000004.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

AIRBOT_MMK2_storage_spoon/annotations/eef_acc_mag_annotation.jsonl

@@ -0,0 +1,3 @@
+{"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"}

AIRBOT_MMK2_storage_spoon/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"}

AIRBOT_MMK2_storage_spoon/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"}

AIRBOT_MMK2_storage_spoon/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"}

AIRBOT_MMK2_storage_spoon/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"}

AIRBOT_MMK2_storage_spoon/annotations/scene_annotations.jsonl

@@ -0,0 +1,49 @@
+{"scene_index": 0, "scene": "The red spoon is at the back right, positioned diagonally opposite to the white spoon located at the back left, while the basin is centrally placed in the front."}
+{"scene_index": 1, "scene": "The basin is at the front, while both the white spoon and red spoon are located at the back, with the red spoon specifically positioned to the right."}
+{"scene_index": 2, "scene": "The red spoon is at the back right, the basin is in front, and the white spoon is at the back left."}
+{"scene_index": 3, "scene": "The white spoon is located at the back right, the basin is in front, and the red spoon is placed at the back left."}
+{"scene_index": 4, "scene": "The basin is in front, with a red spoon positioned at the back left and two white spoons placed symmetrically at the back right."}
+{"scene_index": 5, "scene": "The basin is at the front, the red spoon is positioned towards the back on the left side, and the white spoon is located towards the back on the right side."}
+{"scene_index": 6, "scene": "Basin is in front, White spoon is at the back right, Red spoon is at the back and back left."}
+{"scene_index": 7, "scene": "The red spoon is located at the back right, the basin is in front, and the white spoon is positioned at the back left."}
+{"scene_index": 8, "scene": "The white spoon is located at the back right, while the red spoon is positioned at the back left; the basin is situated in front."}
+{"scene_index": 9, "scene": "The red spoon is at the back right, positioned diagonally opposite to the white spoon located at the back left, while the basin is centrally placed in the front."}
+{"scene_index": 10, "scene": "The basin is at the front, the red spoon is at the back right, and the white spoon is at the back left."}
+{"scene_index": 11, "scene": "The basin is at the front, while the red spoon is located at the back right, and the white spoon is positioned at the back left."}
+{"scene_index": 12, "scene": "The white spoon is located at the back-right, the red spoon is positioned at the back-left, and the basin is in front."}
+{"scene_index": 13, "scene": "The red spoon is located at the back left, positioned behind and to the left of the basin which is at the front. The white spoons are both placed at the back right, identical in location but possibly distinct entities."}
+{"scene_index": 14, "scene": "The basin is at the front, with the white spoon located at the back right and both red spoons positioned at the back left."}
+{"scene_index": 15, "scene": "The basin is positioned at the front, while the white spoon is located at the back right and the red spoon is situated at the back left."}
+{"scene_index": 16, "scene": "The basin is at the front, the white spoon is located at the back right, and the red spoon is positioned at the back left."}
+{"scene_index": 17, "scene": "The basin is at the front, the red spoon is positioned at the back left, and the white spoon is located at the back right."}
+{"scene_index": 18, "scene": "The red spoon is located at the back right, the white spoon is at the back left, and the basin is in front."}
+{"scene_index": 19, "scene": "The white spoon is at the back right, the basin is in front, and the red spoon is at the back."}
+{"scene_index": 20, "scene": "The red spoon is at the back right, the basin is in front, and the white spoon is at the back left."}
+{"scene_index": 21, "scene": "The basin is at the front, the white spoon is located at the back right, and the red spoon is positioned at the back left."}
+{"scene_index": 22, "scene": "The basin is at the front, while the red spoon is positioned at the back right and the white spoon is located at the back left."}
+{"scene_index": 23, "scene": "The white spoon is located at the back right, while the red spoon is placed at the back left. The basin is positioned in front, and the red item (likely referring to the red spoon) is situated at the back left."}
+{"scene_index": 24, "scene": "The red spoon is at the back right, the basin is in front, the white spoon is at the back left, and another red spoon is also at the back right."}
+{"scene_index": 25, "scene": "The white spoon is located at the back right, while the basin is in front. The red spoons are positioned at the back, with one specifically placed at the back left and another at the back."}
+{"scene_index": 26, "scene": "The basin is in front, while a white spoon is positioned at the back right and another red spoon is placed at the back left."}
+{"scene_index": 27, "scene": "The red spoon is at the back right, the basin is in front, and the white spoon is at the back left."}
+{"scene_index": 28, "scene": "The red spoon is at the back left, the white spoon is at the back right, and the basin is in front."}
+{"scene_index": 29, "scene": "The white spoon is at the back right, the red spoon is at the back left, and the basin is in front."}
+{"scene_index": 30, "scene": "The basin is at the front, the red spoon is positioned at the back right, and the white spoon is located at the back left."}
+{"scene_index": 31, "scene": "The red spoon is at the back right, the basin is in front, and two white spoons are both at the back left."}
+{"scene_index": 32, "scene": "The basin is at the front, while the red spoon is located at the back right and the white spoon is positioned at the back left."}
+{"scene_index": 33, "scene": "The red spoon is located at the back right, the white spoon is positioned at the back, and the basin is in the front."}
+{"scene_index": 34, "scene": "The basin is at the front, while the white spoons are located at the back right, and the red spoon is positioned at the back."}
+{"scene_index": 35, "scene": "The red spoon is at the back left, the white spoon is at the back right, and the basin is in front."}
+{"scene_index": 36, "scene": "The red spoon is positioned at the back right, the basin is in front, and the white spoon is located at the back left."}
+{"scene_index": 37, "scene": "The basin is at the front, the red spoon is behind and to the left, and the white spoon is behind and to the right."}
+{"scene_index": 38, "scene": "The red spoon is at the back right, the basin is in front, and the white spoon is at the back left."}
+{"scene_index": 39, "scene": "The basin is at the front, with two white spoons on the back right and one red spoon on the back left."}
+{"scene_index": 40, "scene": "The basin is at the front, the red spoon is at the back right, and the white spoon is at the back left."}
+{"scene_index": 41, "scene": "Basin is at the front, white spoon is at the back right, red spoon is at the back left."}
+{"scene_index": 42, "scene": "The basin is at the front, the red spoon is located at the back left, and the white spoon is positioned at the back right."}
+{"scene_index": 43, "scene": "The red spoon is at the back right, the basin is in front, and the white spoon is at the back left."}
+{"scene_index": 44, "scene": "The basin is at the front, with a red spoon behind it on the back left, a white spoon also behind it on the back right, and another spoon positioned behind it on the back left."}
+{"scene_index": 45, "scene": "Basin is located at the front White Spoon is positioned at the back right Red Spoon is found at both the back left and the back."}
+{"scene_index": 46, "scene": "The basin is at the front, the red spoon is at the back left, and the white spoon is at the back right."}
+{"scene_index": 47, "scene": "The red spoon is at the back left, the white spoon is at the back right, and the basin is in front."}
+{"scene_index": 48, "scene": "The white spoon is located at the back-left position, the red spoon is at the back-right, and the basin is in the front."}

AIRBOT_MMK2_storage_spoon/annotations/subtask_annotations.jsonl

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+{"subtask_index": 0, "subtask": "Static"}
+{"subtask_index": 1, "subtask": "Grasp the spoon with the right gripper"}
+{"subtask_index": 2, "subtask": "End"}
+{"subtask_index": 3, "subtask": "Grasp the spoon with the left gripper"}
+{"subtask_index": 4, "subtask": "Place the spoon into the basin with the right gripper"}
+{"subtask_index": 5, "subtask": "Place the spoon into the basin with the left gripper"}
+{"subtask_index": 6, "subtask": "null"}

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