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Copy AIRBOT_MMK2_place_the_basin into RoboCOIN_useable

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  1. AIRBOT_MMK2_place_the_basin/.gitattributes +59 -0
  2. AIRBOT_MMK2_place_the_basin/README.md +329 -0
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AIRBOT_MMK2_place_the_basin/.gitattributes ADDED
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tar filter=lfs diff=lfs merge=lfs -text
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+ *.tflite filter=lfs diff=lfs merge=lfs -text
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+ *.tgz filter=lfs diff=lfs merge=lfs -text
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+ *.zst filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - uncompressed
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+ *.pcm filter=lfs diff=lfs merge=lfs -text
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+ *.sam filter=lfs diff=lfs merge=lfs -text
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+ *.raw filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - compressed
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+ *.aac filter=lfs diff=lfs merge=lfs -text
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+ *.ogg filter=lfs diff=lfs merge=lfs -text
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+ *.wav filter=lfs diff=lfs merge=lfs -text
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+ # Image files - uncompressed
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+ *.bmp filter=lfs diff=lfs merge=lfs -text
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+ *.png filter=lfs diff=lfs merge=lfs -text
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+ *.tiff filter=lfs diff=lfs merge=lfs -text
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+ # Image files - compressed
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+ *.jpg filter=lfs diff=lfs merge=lfs -text
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+ *.jpeg filter=lfs diff=lfs merge=lfs -text
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+ *.webp filter=lfs diff=lfs merge=lfs -text
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+ # Video files - compressed
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+ *.mp4 filter=lfs diff=lfs merge=lfs -text
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+ *.webm filter=lfs diff=lfs merge=lfs -text
AIRBOT_MMK2_place_the_basin/README.md ADDED
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+ ---
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+ task_categories:
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+ - robotics
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+
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+ language:
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+ - en
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+ - zh
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+
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+
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+ 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.'
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+
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+
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+
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+ extra_gated_fields:
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+
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+ Company/Organization:
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+ type: 'text'
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+ description: 'e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"'
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+
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+ Country:
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+ type: 'country'
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+ description: 'e.g., "Germany", "China", "United States"'
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+
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+
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+
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+ tags:
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+ - RoboCOIN
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+ - LeRobot
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+
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+ frame_range: 1K-10K
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+
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+ license: apache-2.0
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+
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+ configs:
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+ - config_name: default
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+ data_files: data/*/*.parquet
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+ ---
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+
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+ # AIRBOT_MMK2_place_the_basin
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+
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+ ## 📋 Overview
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+
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+ This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
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+
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+ **Robot Type:** `discover_robotics_aitbot_mmk2`
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+ | **Codebase Version:** `v2.1`
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+ **End-Effector Type:** `five_finger_hand`
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+
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+ ## 🏠 Scene Types
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+
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+ This dataset covers the following scene types:
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+ - `home`
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+
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+
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+ ## 🤖 Atomic Actions
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+
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+ This dataset includes the following atomic actions:
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+ - `grasp`
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+ - `pick`
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+ - `place`
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+
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+
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+ ## 📊 Dataset Statistics
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+
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+ | Metric | Value |
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+ |--------|-------|
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+ | **Total Episodes** | 50 |
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+ | **Total Frames** | 7672 |
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+ | **Total Tasks** | 1 |
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+ | **Total Videos** | 200 |
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+ | **Total Chunks** | 1 |
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+ | **Chunk Size** | 1000 |
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+ | **FPS** | 30 |
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+ | **Dataset Size** | 272.9MB |
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+
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+
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+ ## 👥 Authors
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+
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+ ### Contributors
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+ This dataset is contributed by:
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+ - [RoboCOIN](https://flagopen.github.io/RoboCOIN/) - RoboCOIN Team
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+
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+
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+ ## 🔗 Links
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+
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+ - **🏠 Homepage:** [https://flagopen.github.io/RoboCOIN/](https://flagopen.github.io/RoboCOIN/)
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+ - **📄 Paper:** [https://arxiv.org/abs/2511.17441](https://arxiv.org/abs/2511.17441)
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+ - **💻 Repository:** [https://github.com/FlagOpen/RoboCOIN](https://github.com/FlagOpen/RoboCOIN)
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+ - **🌐 Project Page:** [https://flagopen.github.io/RoboCOIN/](https://flagopen.github.io/RoboCOIN/)
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+ - **🐛 Issues:** [https://github.com/FlagOpen/RoboCOIN/issues](https://github.com/FlagOpen/RoboCOIN/issues)
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+ - **📜 License:** apache-2.0
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+
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+ ## 🏷️ Dataset Tags
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+
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+ - `RoboCOIN`
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+ - `LeRobot`
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+
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+
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+ ## 🎯 Task Descriptions
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+
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+ ### Primary Tasks
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+ hold the basin on the table with both hands simultaneously, pick it up and then put it down.
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+
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+ ### Sub-Tasks
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+ This dataset includes 10 distinct subtasks:
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+
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+ 1. **Static**
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+ 2. **Place the basin on the table with the right gripper**
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+ 3. **Grasp the basin with the right gripper**
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+ 4. **End**
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+ 5. **Lift the basin with the left gripper **
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+ 6. **Grasp the basin with the left gripper **
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+ 7. **Lift the basin with the right gripper**
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+ 8. **Place the basin on the table with the left gripper **
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+ 9. **Abnormal**
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+ 10. **null**
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+
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+
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+ ## 🎥 Camera Views
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+
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+ This dataset includes 4 camera views.
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+
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+ ## 🏷️ Available Annotations
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+
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+ This dataset includes rich annotations to support diverse learning approaches:
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+
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+ ### Subtask Annotations
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+ - **Subtask Segmentation**: Fine-grained subtask segmentation and labeling
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+ ### Scene Annotations
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+ - **Scene-level Descriptions**: Semantic scene classifications and descriptions
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+ ### End-Effector Annotations
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+ - **Direction**: Movement direction classifications for robot end-effectors
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+ - **Velocity**: Velocity magnitude categorizations during manipulation
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+ - **Acceleration**: Acceleration magnitude classifications for motion analysis
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+
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+
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+ ### Gripper Annotations
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+ - **Gripper Mode**: Open/close state annotations for gripper control
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+ - **Gripper Activity**: Activity state classifications (active/inactive)
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+
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+
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+ ### Additional Features
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+ - **End-Effector Simulation Pose**: 6D pose information for end-effectors in simulation space
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+ - Available for both state and action
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+ - **Gripper Opening Scale**: Continuous gripper opening measurements
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+ - Available for both state and action
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+
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+
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+ ## 📂 Data Splits
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+
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+ The dataset is organized into the following splits:
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+
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+ - **Training**: Episodes 0:49
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+
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+
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+ ## 📁 Dataset Structure
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+
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+ This dataset follows the LeRobot format and contains the following components:
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+
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+ ### Data Files
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+ - **Videos**: Compressed video files containing RGB camera observations
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+ - **State Data**: Robot joint positions, velocities, and other state information
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+ - **Action Data**: Robot action commands and trajectories
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+ - **Metadata**: Episode metadata, timestamps, and annotations
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+
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+ ### File Organization
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+ - **Data Path Pattern**: `data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet`
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+ - **Video Path Pattern**: `videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4`
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+ - **Chunking**: Data is organized into 1 chunk(s)
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+ of size 1000
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+
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+
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+ ### Features Schema
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+
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+ The dataset includes the following features:
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+
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+ #### Visual Observations
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+ - **observation.images.cam_high_rgb**: video
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+ - FPS: 30
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+ - Codec: av1- **observation.images.cam_left_wrist_rgb**: video
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+ - FPS: 30
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+ - Codec: av1- **observation.images.cam_right_wrist_rgb**: video
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+ - FPS: 30
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+ - Codec: av1- **observation.images.cam_third_view**: video
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+ - FPS: 30
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+ - Codec: av1
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+
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+ #### State and Action- **observation.state**: float32- **action**: float32
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+
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+ #### Temporal Information
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+ - **timestamp**: float32
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+ - **frame_index**: int64
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+ - **episode_index**: int64
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+ - **index**: int64
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+ - **task_index**: int64
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+
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+
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+ #### Annotations
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+ - **subtask_annotation**: int32
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+ - **scene_annotation**: int32
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+
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+
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+ #### Motion Features
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+ - **eef_sim_pose_state**: float32
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+ - 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
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+ - **eef_sim_pose_action**: float32
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+ - 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
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+ - **eef_direction_state**: int32
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+ - Dimensions: left_eef_direction, right_eef_direction
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+ - **eef_direction_action**: int32
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+ - Dimensions: left_eef_direction, right_eef_direction
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+ - **eef_velocity_state**: int32
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+ - Dimensions: left_eef_velocity, right_eef_velocity
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+ - **eef_velocity_action**: int32
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+ - Dimensions: left_eef_velocity, right_eef_velocity
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+ - **eef_acc_mag_state**: int32
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+ - Dimensions: left_eef_acc_mag, right_eef_acc_mag
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+ - **eef_acc_mag_action**: int32
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+ - Dimensions: left_eef_acc_mag, right_eef_acc_mag
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+
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+
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+ #### Gripper Features
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+
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+
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+ ### Meta Information
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+
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+ The complete dataset metadata is available in [meta/info.json](meta/info.json):
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+
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+ ```json
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+ {"codebase_version": "v2.1", "robot_type": "discover_robotics_aitbot_mmk2", "total_episodes": 50, "total_frames": 7672, "total_tasks": 1, "total_videos": 200, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": {"train": "0:49"}, "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]}}}
231
+ ```
232
+
233
+ ### Directory Structure
234
+
235
+ The dataset is organized as follows (showing leaf directories with first 5 files only):
236
+
237
+ ```
238
+ AIRBOT_MMK2_place_the_basin_qced_hardlink/
239
+ ├── annotations/
240
+ │ ├── eef_acc_mag_annotation.jsonl
241
+ │ ├── eef_direction_annotation.jsonl
242
+ │ ├── eef_velocity_annotation.jsonl
243
+ │ ├── gripper_activity_annotation.jsonl
244
+ │ ├── gripper_mode_annotation.jsonl
245
+ │ └── (...)
246
+ ├── data/
247
+ │ └── chunk-000/
248
+ │ ├── episode_000000.parquet
249
+ │ ├── episode_000001.parquet
250
+ │ ├── episode_000002.parquet
251
+ │ ├── episode_000003.parquet
252
+ │ ├── episode_000004.parquet
253
+ │ └── (...)
254
+ ├── meta/
255
+ │ ├── episodes.jsonl
256
+ │ ├── episodes_stats.jsonl
257
+ │ ├── info.json
258
+ │ └── tasks.jsonl
259
+ └── videos/
260
+ └── chunk-000/
261
+ ├── observation.images.cam_high_rgb/
262
+ │ ├── episode_000000.mp4
263
+ │ ├── episode_000001.mp4
264
+ │ ├── episode_000002.mp4
265
+ │ ├── episode_000003.mp4
266
+ │ ├── episode_000004.mp4
267
+ │ └── (...)
268
+ ├── observation.images.cam_left_wrist_rgb/
269
+ │ ├── episode_000000.mp4
270
+ │ ├── episode_000001.mp4
271
+ │ ├── episode_000002.mp4
272
+ │ ├── episode_000003.mp4
273
+ │ ├── episode_000004.mp4
274
+ │ └── (...)
275
+ ├── observation.images.cam_right_wrist_rgb/
276
+ │ ├── episode_000000.mp4
277
+ │ ├── episode_000001.mp4
278
+ │ ├── episode_000002.mp4
279
+ │ ├── episode_000003.mp4
280
+ │ ├── episode_000004.mp4
281
+ │ └── (...)
282
+ └── observation.images.cam_third_view/
283
+ ├── episode_000000.mp4
284
+ ├── episode_000001.mp4
285
+ ├── episode_000002.mp4
286
+ ├── episode_000003.mp4
287
+ ├── episode_000004.mp4
288
+ └── (...)
289
+ ```
290
+
291
+
292
+ ## 📞 Contact and Support
293
+
294
+ For questions, issues, or feedback regarding this dataset, please contact:
295
+ - **Email:** None
296
+ For questions, issues, or feedback regarding this dataset, please contact us.
297
+ ### Support
298
+ For technical support, please open an issue on our GitHub repository.
299
+
300
+ ## 📄 License
301
+
302
+ This dataset is released under the **apache-2.0** license.
303
+
304
+ Please refer to the LICENSE file for full license terms and conditions.
305
+
306
+
307
+ ## 📚 Citation
308
+
309
+ If you use this dataset in your research, please cite:
310
+
311
+ ```bibtex
312
+ @article{robocoin,
313
+ title={RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation},
314
+ 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},
315
+ journal={arXiv preprint arXiv:2511.17441},
316
+ url = {https://arxiv.org/abs/2511.17441},
317
+ year={2025}
318
+ }
319
+ ```
320
+
321
+ ### Additional References
322
+
323
+ If you use this dataset, please also consider citing:
324
+ - LeRobot Framework: https://github.com/huggingface/lerobot
325
+
326
+ ## 📌 Version Information
327
+
328
+ ## Version History
329
+ - v1.0.0 (2025-11): Initial release
AIRBOT_MMK2_place_the_basin/annotations/eef_acc_mag_annotation.jsonl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {"eef_acc_mag_index": 0, "eef_acc_mag": "constant"}
2
+ {"eef_acc_mag_index": 1, "eef_acc_mag": "accelerating"}
3
+ {"eef_acc_mag_index": 2, "eef_acc_mag": "decelerating"}
AIRBOT_MMK2_place_the_basin/annotations/eef_direction_annotation.jsonl ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {"eef_direction_index": 0, "eef_direction": "forward"}
2
+ {"eef_direction_index": 1, "eef_direction": "backward"}
3
+ {"eef_direction_index": 2, "eef_direction": "left"}
4
+ {"eef_direction_index": 3, "eef_direction": "right"}
5
+ {"eef_direction_index": 4, "eef_direction": "up"}
6
+ {"eef_direction_index": 5, "eef_direction": "down"}
7
+ {"eef_direction_index": 6, "eef_direction": "still"}
AIRBOT_MMK2_place_the_basin/annotations/eef_velocity_annotation.jsonl ADDED
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1
+ {"eef_velocity_index": 0, "eef_velocity": "still"}
2
+ {"eef_velocity_index": 1, "eef_velocity": "slow"}
3
+ {"eef_velocity_index": 2, "eef_velocity": "fast"}
AIRBOT_MMK2_place_the_basin/annotations/gripper_activity_annotation.jsonl ADDED
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+ {"gripper_activity_index": 0, "gripper_activity": "openning"}
2
+ {"gripper_activity_index": 1, "gripper_activity": "closing"}
3
+ {"gripper_activity_index": 2, "gripper_activity": "holding"}
4
+ {"gripper_activity_index": 3, "gripper_activity": "unknown"}
AIRBOT_MMK2_place_the_basin/annotations/gripper_mode_annotation.jsonl ADDED
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+ {"gripper_mode_index": 0, "gripper_mode": "open"}
2
+ {"gripper_mode_index": 1, "gripper_mode": "closed"}
3
+ {"gripper_mode_index": 2, "gripper_mode": "unknown"}
AIRBOT_MMK2_place_the_basin/annotations/scene_annotations.jsonl ADDED
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+ {"scene_index": 0, "scene": "The basin is positioned at the front, while the table is centered."}
2
+ {"scene_index": 1, "scene": "The basin is positioned at the front, while the table is centered."}
3
+ {"scene_index": 2, "scene": "The basin is at the front, the table is centered, and another table is placed at the back."}
4
+ {"scene_index": 3, "scene": "The basin is at the front, and the two tables are both in the center."}
5
+ {"scene_index": 4, "scene": "The basin is at the front, while the table is centered."}
6
+ {"scene_index": 5, "scene": "The basin is positioned at the front, while the table is centered."}
7
+ {"scene_index": 6, "scene": "The basin is at the front, the table is in the center, and there is another table at the back."}
8
+ {"scene_index": 7, "scene": "The basin is positioned at the front, while the table is located in the center."}
9
+ {"scene_index": 8, "scene": "The basin is positioned at the front, while the table is centered."}
10
+ {"scene_index": 9, "scene": "The basin is located at the front, while the table is centered."}
11
+ {"scene_index": 10, "scene": "The basin is positioned at the front, while the table is centered."}
12
+ {"scene_index": 11, "scene": "The basin is positioned at the front, while the table is located at the center."}
13
+ {"scene_index": 12, "scene": "The basin is positioned at the front, while the table is located at the center."}
14
+ {"scene_index": 13, "scene": "The basin is positioned at the front, while the table is located at the back."}
15
+ {"scene_index": 14, "scene": "The basin is positioned at the front, while the table is located at the center."}
16
+ {"scene_index": 15, "scene": "The basin is located at the front, while the table is positioned at the center."}
17
+ {"scene_index": 16, "scene": "The basin is located at the front position."}
18
+ {"scene_index": 17, "scene": "The basin is positioned at the front, while the table is located at the center."}
19
+ {"scene_index": 18, "scene": "The basin is positioned at the front, while the table is located at the back."}
20
+ {"scene_index": 19, "scene": "The basin is located at the front, while the table is centered."}
21
+ {"scene_index": 20, "scene": "The table is at the center, and the basin is in front of it."}
22
+ {"scene_index": 21, "scene": "The basin is positioned at the front, while the table is centered."}
23
+ {"scene_index": 22, "scene": "The basin is located at the front, while the table is positioned at the center."}
24
+ {"scene_index": 23, "scene": "The basin is positioned at the front, while the table is located at the center."}
25
+ {"scene_index": 24, "scene": "The basin is positioned at the front, while the table is centered."}
26
+ {"scene_index": 25, "scene": "The table is centered, and the basin is positioned at the front."}
27
+ {"scene_index": 26, "scene": "The basin is located at the front, while the table is centered."}
28
+ {"scene_index": 27, "scene": "The basin is located at the front, while the table is centered."}
29
+ {"scene_index": 28, "scene": "The basin is located at the front, while the table is positioned at the center."}
30
+ {"scene_index": 29, "scene": "The basin is located at the front-right, while the table is centered between them."}
31
+ {"scene_index": 30, "scene": "The basin is located at the front, while the table is positioned at the center."}
32
+ {"scene_index": 31, "scene": "The basin is positioned at the front, while the table is located in the center."}
33
+ {"scene_index": 32, "scene": "The basin is located at the front, while the table is centered."}
34
+ {"scene_index": 33, "scene": "The basin is positioned at the front, while the table is located at the center."}
35
+ {"scene_index": 34, "scene": "The basin is located at the front, while the table is positioned at the center."}
36
+ {"scene_index": 35, "scene": "The basin is positioned at the front, while the table is located in the center."}
37
+ {"scene_index": 36, "scene": "The basin is positioned at the front, while the table is centered."}
38
+ {"scene_index": 37, "scene": "The basin is at the front, while both tables are centered."}
39
+ {"scene_index": 38, "scene": "The basin is located at the front, while the table is centered."}
40
+ {"scene_index": 39, "scene": "The basin is at the front, the table is at the back, and another table is in the center."}
41
+ {"scene_index": 40, "scene": "The basin is positioned at the front, while the table is centered."}
42
+ {"scene_index": 41, "scene": "The basin is located at the front, while the table is positioned at the center."}
43
+ {"scene_index": 42, "scene": "The basin is located at the front, while the table is centered."}
44
+ {"scene_index": 43, "scene": "The basin is positioned at the front, while the table is located in the center."}
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+ {"scene_index": 44, "scene": "The basin is positioned at the front, while the table is located in the center."}
46
+ {"scene_index": 45, "scene": "The basin is positioned at the front, while the table is centered."}
47
+ {"scene_index": 46, "scene": "The table is at the center, and the basin is located at the front."}
48
+ {"scene_index": 47, "scene": "The basin is positioned at the front, while the tables are both centered."}
49
+ {"scene_index": 48, "scene": "The basin is located at the front, while the table is positioned at the center."}
50
+ {"scene_index": 49, "scene": "The basin is at the front right, the table is at the back, and there s another table in the center."}
AIRBOT_MMK2_place_the_basin/annotations/subtask_annotations.jsonl ADDED
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1
+ {"subtask_index": 0, "subtask": "Static"}
2
+ {"subtask_index": 1, "subtask": "Place the basin on the table with the right gripper"}
3
+ {"subtask_index": 2, "subtask": "Grasp the basin with the right gripper"}
4
+ {"subtask_index": 3, "subtask": "End"}
5
+ {"subtask_index": 4, "subtask": "Lift the basin with the left gripper "}
6
+ {"subtask_index": 5, "subtask": "Grasp the basin with the left gripper "}
7
+ {"subtask_index": 6, "subtask": "Lift the basin with the right gripper"}
8
+ {"subtask_index": 7, "subtask": "Place the basin on the table with the left gripper "}
9
+ {"subtask_index": 8, "subtask": "Abnormal"}
10
+ {"subtask_index": 9, "subtask": "null"}
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