Copy AIRBOT_MMK2_organize_and_place_books into RoboCOIN_useable

AIRBOT_MMK2_organize_and_place_books/.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_organize_and_place_books/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: 1K-10K
+
+license: apache-2.0
+
+configs:
+- config_name: default
+  data_files: data/*/*.parquet
+---
+
+# AIRBOT_MMK2_organize_and_place_books
+
+## 📋 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** | 48 |
+| **Total Frames** | 9838 |
+| **Total Tasks** | 1 |
+| **Total Videos** | 192 |
+| **Total Chunks** | 1 |
+| **Chunk Size** | 1000 |
+| **FPS** | 30 |
+| **Dataset Size** | 372.1MB |
+
+
+## 👥 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 the book from the table with one hand and transfer it to your other hand, then place it on another book.
+
+### Sub-Tasks
+This dataset includes 6 distinct subtasks:
+
+1. **Place the yellow book on the white book with the right gripper** 
+2. **Static** 
+3. **End** 
+4. **Deliver the yellow book from left gripper to right gripper** 
+5. **Grasp the yellow book with the left gripper** 
+6. **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 0:47
+
+
+## 📁 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-{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": 48, "total_frames": 9838, "total_tasks": 1, "total_videos": 192, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": {"train": "0:47"}, "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_organize_and_place_books_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_organize_and_place_books/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_organize_and_place_books/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_organize_and_place_books/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_organize_and_place_books/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_organize_and_place_books/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"}

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+{"scene_index": 0, "scene": "The yellow book is on the left, and the white book is in front of it on the left side."}
+{"scene_index": 1, "scene": "The yellow book is on the left, and the white book is in front of it on the left side."}
+{"scene_index": 2, "scene": "The yellow book and white book are both located at the front left position."}
+{"scene_index": 3, "scene": "White is in front right. Yellow book is in front left. White book is in front."}
+{"scene_index": 4, "scene": "The yellow book is on the left, while the white book is positioned at the front-left."}
+{"scene_index": 5, "scene": "The yellow book is on the left, with the white books positioned in front, one at the front left and another in the front."}
+{"scene_index": 6, "scene": "The yellow book is positioned at front left, while two white books are located at front."}
+{"scene_index": 7, "scene": "The yellow book is on the left, and the white book is in front."}
+{"scene_index": 8, "scene": "The yellow book is positioned on the left side."}
+{"scene_index": 9, "scene": "The yellow book is on the left, and the white book is in front of it on the left side."}
+{"scene_index": 10, "scene": "The yellow book is on the left, while the white book is in front."}
+{"scene_index": 11, "scene": "The yellow book is at the front left, the white book is at the front right, and another white book is in the front."}
+{"scene_index": 12, "scene": "The yellow book is located at the front left position, while the white book is positioned in front."}
+{"scene_index": 13, "scene": "The yellow book is on the left, while the white book is positioned at the front-left."}
+{"scene_index": 14, "scene": "The yellow book is located at the front-left position, while the white book is positioned at the front-right."}
+{"scene_index": 15, "scene": "The yellow book is at the front left, while the white book is at the front, but there’s no direct positional relationship between them other than both being in the front area."}
+{"scene_index": 16, "scene": "The yellow book is on the left, and the white book is in front."}
+{"scene_index": 17, "scene": "The yellow book and white book are both located at the front left position."}
+{"scene_index": 18, "scene": "The yellow book is positioned at front left, sharing the same front left location as the white book."}
+{"scene_index": 19, "scene": "The yellow book is on the left side, while the white books are positioned at the front right and front."}
+{"scene_index": 20, "scene": "The yellow book is on the left, while the white book is positioned at the front."}
+{"scene_index": 21, "scene": "The yellow book is on the left, while the white book is positioned in the front right."}
+{"scene_index": 22, "scene": "The yellow book is on the left, while the white book is positioned at the front-left."}
+{"scene_index": 23, "scene": "The yellow book is on the left, while two white books are in front."}
+{"scene_index": 24, "scene": "Both the yellow book and white book are located at front left."}
+{"scene_index": 25, "scene": "The yellow book is on the left, while both white books are in front."}
+{"scene_index": 26, "scene": "The yellow book is positioned at the front left, sharing the same location as the white object, which is also placed in the front left."}
+{"scene_index": 27, "scene": "The yellow book is on the left side, while the white book is positioned at the front-left area."}
+{"scene_index": 28, "scene": "The yellow book is on the left, the white books are in front."}
+{"scene_index": 29, "scene": "The yellow book is on the left, and the white book is in front."}
+{"scene_index": 30, "scene": "The yellow book is positioned at front left, while there are two white books located in the front area, one at front and another at front left."}
+{"scene_index": 31, "scene": "The yellow book is located at the front-left position, while the white book is positioned in the front area."}
+{"scene_index": 32, "scene": "The yellow book is located at the front left position, while the white object is positioned directly in front."}
+{"scene_index": 33, "scene": "The yellow book is located at front left, and white is also positioned at front left."}
+{"scene_index": 34, "scene": "The yellow book is on the left, while the white book is positioned at the front right."}
+{"scene_index": 35, "scene": "The yellow book is on the left side, while the white book is positioned at the front-left area."}
+{"scene_index": 36, "scene": "The yellow book is on the left, and the white book is in front."}
+{"scene_index": 37, "scene": "The yellow book is on the left, and the white book is in front."}
+{"scene_index": 38, "scene": "The yellow book is located at the front left position, while the white book is positioned in front."}
+{"scene_index": 39, "scene": "The yellow book is on the left, the white book is in front, and the white book is at the front-left."}
+{"scene_index": 40, "scene": "The yellow book is on the left side. The white book is positioned in the front left. Another white book is located at the front."}
+{"scene_index": 41, "scene": "The yellow book is located at the front left position, while the white book is positioned in front."}
+{"scene_index": 42, "scene": "The white book is in the front-left position, while the yellow books are positioned to the left and also occupy the front-left."}
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+{"scene_index": 48, "scene": "The yellow book and white book are both positioned at the front left."}
+{"scene_index": 49, "scene": "The yellow book is on the left, while the white book is positioned at the front-left."}

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+{"subtask_index": 2, "subtask": "End"}
+{"subtask_index": 3, "subtask": "Deliver the yellow book from left gripper to right gripper"}
+{"subtask_index": 4, "subtask": "Grasp the yellow book with the left gripper"}
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