Copy alpha_bot_2_pass_the_sandbag into RoboCOIN_useable

alpha_bot_2_pass_the_sandbag/.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
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+*.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

alpha_bot_2_pass_the_sandbag/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
+---
+
+# alpha_bot_2_pass_the_sandbag
+
+## 📋 Overview
+
+This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
+
+**Robot Type:** `alpha_bot_2`
+ | **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`
+
+
+## 📊 Dataset Statistics
+
+| Metric | Value |
+|--------|-------|
+| **Total Episodes** | 86 |
+| **Total Frames** | 69956 |
+| **Total Tasks** | 1 |
+| **Total Videos** | 344 |
+| **Total Chunks** | 1 |
+| **Chunk Size** | 1000 |
+| **FPS** | 30 |
+| **Dataset Size** | 2.0GB |
+
+
+## 👥 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
+One hand took the sandbag from the other hand and placed it on the table.
+
+### Sub-Tasks
+This dataset includes 5 distinct subtasks:
+
+1. **Pass the paper ball to the right gripper** 
+2. **End** 
+3. **Place the paper ball on the table with right gripper** 
+4. **Grasp the paper ball with left gripper** 
+5. **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 0:85
+
+
+## 📁 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_chest_rgb**: video
+  - FPS: 30
+  - Codec: av1- **observation.images.cam_head_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": "alpha_bot_2", "total_episodes": 86, "total_frames": 69956, "total_tasks": 1, "total_videos": 344, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": {"train": "0:85"}, "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_chest_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_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.state": {"dtype": "float32", "shape": [28], "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_arm_joint_7_rad", "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_arm_joint_7_rad", "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", "left_gripper_open", "right_gripper_open"]}, "action": {"dtype": "float32", "shape": [28], "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_arm_joint_7_rad", "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_arm_joint_7_rad", "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", "left_gripper_open", "right_gripper_open"]}, "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):
+
+```
+alpha_bot_2_pass_the_sandbag_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_chest_rgb/
+        │   ├── episode_000000.mp4
+        │   ├── episode_000001.mp4
+        │   ├── episode_000002.mp4
+        │   ├── episode_000003.mp4
+        │   ├── episode_000004.mp4
+        │   └── (...)
+        ├── observation.images.cam_head_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
+            └── (...)
+```
+
+
+## 📞 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

alpha_bot_2_pass_the_sandbag/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"}

alpha_bot_2_pass_the_sandbag/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"}

alpha_bot_2_pass_the_sandbag/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"}

alpha_bot_2_pass_the_sandbag/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"}

alpha_bot_2_pass_the_sandbag/annotations/gripper_mode_annotation.jsonl

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

alpha_bot_2_pass_the_sandbag/annotations/scene_annotations.jsonl

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+{"scene_index": 0, "scene": "The sandbag is positioned at the back left."}
+{"scene_index": 1, "scene": "The sandbag is positioned at the back-left location."}
+{"scene_index": 2, "scene": "The sand is on the left, and the sandbag is positioned at the back left."}
+{"scene_index": 3, "scene": "The sandbag is located at the back left position."}
+{"scene_index": 4, "scene": "The two sandbags are positioned on the left side, with one located at the back left position."}
+{"scene_index": 5, "scene": "The sandbag is positioned at the back left."}
+{"scene_index": 6, "scene": "The sandbag is positioned at the back left location."}
+{"scene_index": 7, "scene": "The sandbag is positioned at the back left location."}
+{"scene_index": 8, "scene": "The sandbag is positioned at the back left location."}
+{"scene_index": 9, "scene": "The sandbag is located at the back left position."}
+{"scene_index": 10, "scene": "The sandbag is positioned at the back left location."}
+{"scene_index": 11, "scene": "The sandbag is positioned at the back-left location."}
+{"scene_index": 12, "scene": "The sandbag is positioned at the back left area."}
+{"scene_index": 13, "scene": "The sandbag is positioned at the back left."}
+{"scene_index": 14, "scene": "The sandbag is positioned at the back-left location."}
+{"scene_index": 15, "scene": "The bag is located at the back left position."}
+{"scene_index": 16, "scene": "The sandbag is positioned at the back left location."}
+{"scene_index": 17, "scene": "The sandbag is positioned at the back left area."}
+{"scene_index": 18, "scene": "The sandbag is located at the back left position."}
+{"scene_index": 19, "scene": "The sandbag is positioned at the back left."}
+{"scene_index": 20, "scene": "The sandbag is positioned at the back left area."}
+{"scene_index": 21, "scene": "The sandbag is positioned at the back left location."}
+{"scene_index": 22, "scene": "The sandbag is positioned at the back left location."}
+{"scene_index": 23, "scene": "The sandbag is positioned at back left, while the other bag is at left."}
+{"scene_index": 24, "scene": "The sandbag is positioned at the back left location."}
+{"scene_index": 25, "scene": "The sandbag is positioned at the back left location."}
+{"scene_index": 26, "scene": "The sandbag is positioned at the back-left location."}
+{"scene_index": 27, "scene": "The sand is located at the back left position."}
+{"scene_index": 28, "scene": "The sand is positioned at the back left."}
+{"scene_index": 29, "scene": "I m sorry, but I don t have specific details about the objects you re referring to. Could you clarify or provide more context?"}
+{"scene_index": 30, "scene": "The sandbag is positioned at the back-left location."}
+{"scene_index": 31, "scene": "The sandbag is positioned at the back left area."}
+{"scene_index": 32, "scene": "The sandbag is located at the back left position."}
+{"scene_index": 33, "scene": "The sandbag is positioned at the back-left location."}
+{"scene_index": 34, "scene": "The sandbag is located at the back left position."}
+{"scene_index": 35, "scene": "The sandbag is positioned on the left."}
+{"scene_index": 36, "scene": "The sandbag is positioned at the back-left location."}
+{"scene_index": 37, "scene": "The sandbag is positioned at the back left area."}
+{"scene_index": 38, "scene": "The sandbag is positioned at the back left location."}
+{"scene_index": 39, "scene": "I m sorry, but I don t have specific details about the objects you re referring to. Could you please provide more context or clarify what you mean by  the objects ?"}
+{"scene_index": 40, "scene": "The sandbag is positioned at the back-left location."}
+{"scene_index": 41, "scene": "The sandbag is positioned at the back left location."}
+{"scene_index": 42, "scene": "The sandbag is positioned at the back-left location."}
+{"scene_index": 43, "scene": "The sandbag is positioned at the back left location."}
+{"scene_index": 44, "scene": "The sandbag is located at the back left position."}
+{"scene_index": 45, "scene": "The sandbag is positioned at the back left location."}
+{"scene_index": 46, "scene": "The sandbag is located at the back left position."}
+{"scene_index": 47, "scene": "The sandbag is positioned on the left side."}
+{"scene_index": 48, "scene": "I m sorry, but I don t have any specific objects to describe or analyze at this time. If you provide me with a list of objects or a specific scenario, I’d be happy to help summarize their positions and relationships for you!"}
+{"scene_index": 49, "scene": "The sandbag is positioned at the back left."}
+{"scene_index": 50, "scene": "The sandbag is located at the back left position while the bag is placed to the left"}
+{"scene_index": 51, "scene": "The sandbag is positioned at the back-left location."}
+{"scene_index": 52, "scene": "The sandbag is positioned on the left."}
+{"scene_index": 53, "scene": "The sandbag is positioned at the back left location."}
+{"scene_index": 54, "scene": "Each sandbag is positioned at the specified locations, with one placed to the back-left and another to the left."}
+{"scene_index": 55, "scene": "The sand is on the left side."}
+{"scene_index": 56, "scene": "The sand is located at the back left position."}
+{"scene_index": 57, "scene": "The sandbag is positioned at the back left location."}
+{"scene_index": 58, "scene": "The sandbag is located at the back left position."}
+{"scene_index": 59, "scene": "The sandbag is located at the back left position."}
+{"scene_index": 60, "scene": "The sandbag is positioned at the back left."}
+{"scene_index": 61, "scene": "The sandbag is positioned at the back left."}
+{"scene_index": 62, "scene": "The sandbag is positioned at the back-left location."}
+{"scene_index": 63, "scene": "I am sorry, I cannot answer that question. I am an AI assistant designed to provide helpful and harmless responses."}
+{"scene_index": 64, "scene": "The sandbag is positioned at the back left."}
+{"scene_index": 65, "scene": "The sandbag is located at the back left position, and the sand is placed to the left of it."}
+{"scene_index": 66, "scene": "The sandbag is positioned at the back-left location."}
+{"scene_index": 67, "scene": "The sandbag is positioned on the left side."}
+{"scene_index": 68, "scene": "The sandbag is located at the back left position."}
+{"scene_index": 69, "scene": "The sandbag is positioned at the back left location."}
+{"scene_index": 70, "scene": "The sandbag is positioned at the back left location."}
+{"scene_index": 71, "scene": "The sandbag is positioned at the back left location."}
+{"scene_index": 72, "scene": "The sandbag is positioned at the back-left location."}
+{"scene_index": 73, "scene": "The sandbag is positioned on the left side."}
+{"scene_index": 74, "scene": "The sand is on the left side."}
+{"scene_index": 75, "scene": "The sandbag is positioned at the back left."}
+{"scene_index": 76, "scene": "The sandbag is positioned on the left."}
+{"scene_index": 77, "scene": "The sandbag is positioned at the back left."}
+{"scene_index": 78, "scene": "The sandbag is positioned on the left."}
+{"scene_index": 79, "scene": "The sandbag is positioned at the back left location."}
+{"scene_index": 80, "scene": "The sandbag is positioned at the back-left location."}
+{"scene_index": 81, "scene": "The sandbag is positioned at the back left location."}
+{"scene_index": 82, "scene": "The sandbag is positioned at the back left location."}
+{"scene_index": 83, "scene": "The sandbag is positioned at the back-left location."}
+{"scene_index": 84, "scene": "The sandbag is positioned at the back left location."}
+{"scene_index": 85, "scene": "The sandbag is positioned at the back-left location."}

alpha_bot_2_pass_the_sandbag/annotations/subtask_annotations.jsonl

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+{"subtask_index": 0, "subtask": "Pass the paper ball to the right gripper"}
+{"subtask_index": 1, "subtask": "End"}
+{"subtask_index": 2, "subtask": "Place the paper ball on the table with right gripper"}
+{"subtask_index": 3, "subtask": "Grasp the paper ball with left gripper"}
+{"subtask_index": 4, "subtask": "null"}

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