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Copy Airbot_MMK2_move_tub into RoboCOIN_useable

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  1. Airbot_MMK2_move_tub/.gitattributes +59 -0
  2. Airbot_MMK2_move_tub/README.md +332 -0
  3. Airbot_MMK2_move_tub/annotations/eef_acc_mag_annotation.jsonl +3 -0
  4. Airbot_MMK2_move_tub/annotations/eef_direction_annotation.jsonl +7 -0
  5. Airbot_MMK2_move_tub/annotations/eef_velocity_annotation.jsonl +3 -0
  6. Airbot_MMK2_move_tub/annotations/gripper_activity_annotation.jsonl +4 -0
  7. Airbot_MMK2_move_tub/annotations/gripper_mode_annotation.jsonl +3 -0
  8. Airbot_MMK2_move_tub/annotations/scene_annotations.jsonl +37 -0
  9. Airbot_MMK2_move_tub/annotations/subtask_annotations.jsonl +5 -0
  10. Airbot_MMK2_move_tub/data/chunk-000/episode_000000.parquet +3 -0
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  46. Airbot_MMK2_move_tub/data/chunk-000/episode_000036.parquet +3 -0
  47. Airbot_MMK2_move_tub/meta/episodes.jsonl +37 -0
  48. Airbot_MMK2_move_tub/meta/episodes_stats.jsonl +0 -0
  49. Airbot_MMK2_move_tub/meta/info.json +1 -0
  50. Airbot_MMK2_move_tub/meta/tasks.jsonl +1 -0
Airbot_MMK2_move_tub/.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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+ *.joblib 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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+ *.flac filter=lfs diff=lfs merge=lfs -text
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+ *.mp3 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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+ *.gif 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_move_tub/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: 10K-100K
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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_move_tub
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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:** `Airbot_MMK2`
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+ | **Codebase Version:** `v2.1`
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+ **End-Effector Type:** `five_finger_gripper`
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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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+ - `kitchen`
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+ - `level1`
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+ - `level2`
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+ - `level3`
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+ - `level4`
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+ - `level5`
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+ - `level1: household`
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+ - `level2: kitchen`
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+ - `household`
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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** | 37 |
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+ | **Total Frames** | 11634 |
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+ | **Total Tasks** | 1 |
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+ | **Total Videos** | 148 |
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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** | 340.0MB |
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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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+ Pass the plate to your other hand and then put it down.
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+
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+ ### Sub-Tasks
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+ This dataset includes 5 distinct subtasks:
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+
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+ 1. **Grasp the white box with left gripper**
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+ 2. **Place the white box in the center of table with right gripper**
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+ 3. **End**
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+ 4. **Pass the white box to right gripper**
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+ 5. **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 0:36
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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_rot_x, left_eef_rot_y, left_eef_rot_z, right_eef_pos_x, right_eef_pos_y, right_eef_pos_z, right_eef_rot_x, right_eef_rot_y, right_eef_rot_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_rot_x, left_eef_rot_y, left_eef_rot_z, right_eef_pos_x, right_eef_pos_y, right_eef_pos_z, right_eef_rot_x, right_eef_rot_y, right_eef_rot_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": "Airbot_MMK2", "total_episodes": 37, "total_frames": 11634, "total_tasks": 1, "total_videos": 148, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": {"train": "0:36"}, "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_rot_x", "left_eef_rot_y", "left_eef_rot_z", "right_eef_pos_x", "right_eef_pos_y", "right_eef_pos_z", "right_eef_rot_x", "right_eef_rot_y", "right_eef_rot_z"], "dtype": "float32", "shape": [12]}, "eef_sim_pose_action": {"names": ["left_eef_pos_x", "left_eef_pos_y", "left_eef_pos_z", "left_eef_rot_x", "left_eef_rot_y", "left_eef_rot_z", "right_eef_pos_x", "right_eef_pos_y", "right_eef_pos_z", "right_eef_rot_x", "right_eef_rot_y", "right_eef_rot_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]}}}
234
+ ```
235
+
236
+ ### Directory Structure
237
+
238
+ The dataset is organized as follows (showing leaf directories with first 5 files only):
239
+
240
+ ```
241
+ Airbot_MMK2_move_tub_qced_hardlink/
242
+ ├── annotations/
243
+ │ ├── eef_acc_mag_annotation.jsonl
244
+ │ ├── eef_direction_annotation.jsonl
245
+ │ ├── eef_velocity_annotation.jsonl
246
+ │ ├── gripper_activity_annotation.jsonl
247
+ │ ├── gripper_mode_annotation.jsonl
248
+ │ └── (...)
249
+ ├── data/
250
+ │ └── chunk-000/
251
+ │ ├── episode_000000.parquet
252
+ │ ├── episode_000001.parquet
253
+ │ ├── episode_000002.parquet
254
+ │ ├── episode_000003.parquet
255
+ │ ├── episode_000004.parquet
256
+ │ └── (...)
257
+ ├── meta/
258
+ │ ├── episodes.jsonl
259
+ │ ├── episodes_stats.jsonl
260
+ │ ├── info.json
261
+ │ └── tasks.jsonl
262
+ └── videos/
263
+ └── chunk-000/
264
+ ├── observation.images.cam_high_rgb/
265
+ │ ├── episode_000000.mp4
266
+ │ ├── episode_000001.mp4
267
+ │ ├── episode_000002.mp4
268
+ │ ├── episode_000003.mp4
269
+ │ ├── episode_000004.mp4
270
+ │ └── (...)
271
+ ├── observation.images.cam_left_wrist_rgb/
272
+ │ ├── episode_000000.mp4
273
+ │ ├── episode_000001.mp4
274
+ │ ├── episode_000002.mp4
275
+ │ ├── episode_000003.mp4
276
+ │ ├── episode_000004.mp4
277
+ │ └── (...)
278
+ ├── observation.images.cam_right_wrist_rgb/
279
+ │ ├── episode_000000.mp4
280
+ │ ├── episode_000001.mp4
281
+ │ ├── episode_000002.mp4
282
+ │ ├── episode_000003.mp4
283
+ │ ├── episode_000004.mp4
284
+ │ └── (...)
285
+ └── observation.images.cam_third_view/
286
+ ├── episode_000000.mp4
287
+ ├── episode_000001.mp4
288
+ ├── episode_000002.mp4
289
+ ├── episode_000003.mp4
290
+ ├── episode_000004.mp4
291
+ └── (...)
292
+ ```
293
+
294
+
295
+ ## 📞 Contact and Support
296
+
297
+ For questions, issues, or feedback regarding this dataset, please contact:
298
+ - **Email:** None
299
+ For questions, issues, or feedback regarding this dataset, please contact us.
300
+ ### Support
301
+ For technical support, please open an issue on our GitHub repository.
302
+
303
+ ## 📄 License
304
+
305
+ This dataset is released under the **apache-2.0** license.
306
+
307
+ Please refer to the LICENSE file for full license terms and conditions.
308
+
309
+
310
+ ## 📚 Citation
311
+
312
+ If you use this dataset in your research, please cite:
313
+
314
+ ```bibtex
315
+ @article{robocoin,
316
+ title={RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation},
317
+ 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},
318
+ journal={arXiv preprint arXiv:2511.17441},
319
+ url = {https://arxiv.org/abs/2511.17441},
320
+ year={2025}
321
+ }
322
+ ```
323
+
324
+ ### Additional References
325
+
326
+ If you use this dataset, please also consider citing:
327
+ - LeRobot Framework: https://github.com/huggingface/lerobot
328
+
329
+ ## 📌 Version Information
330
+
331
+ ## Version History
332
+ - v1.0.0 (2025-11): Initial release
Airbot_MMK2_move_tub/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_move_tub/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_move_tub/annotations/eef_velocity_annotation.jsonl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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_move_tub/annotations/gripper_activity_annotation.jsonl ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"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_move_tub/annotations/gripper_mode_annotation.jsonl ADDED
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1
+ {"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_move_tub/annotations/scene_annotations.jsonl ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {"scene_index": 0, "scene": "A white plastic bowl is in the front-left, and two red cubes are in the front-right and back-right. A green cube is in the front-right, and a red cube is in the back-right. A red cube is in the front-left, and a green cube is in the front-right. A red cube is in the back-left"}
2
+ {"scene_index": 1, "scene": "A white oval plastic container is in the front-left, and three red cubes are in the front-right, back-left, and back-right"}
3
+ {"scene_index": 2, "scene": "A white oval-shaped plastic container is in the front-left, and two red cubes are in the front-right, back-left, and back-right"}
4
+ {"scene_index": 3, "scene": "A white bowl is in the front-left, a red cube is in the front-right, a green cube is in the back-right, and two red cubes are in the front"}
5
+ {"scene_index": 4, "scene": "A white plastic bowl is in the front-left, and two red cubes are in the front-right, back-left, and back-right"}
6
+ {"scene_index": 5, "scene": "A white bowl is in the front-left, and two red cubes are in the front-right, one green cube is in the back-right, and one red cube is in the back-left"}
7
+ {"scene_index": 6, "scene": "A white bowl is in the front-left, and two red cubes are in the front-right, back-left, and back-right. There is a green cube in the front, and a yellow cube in the back-right"}
8
+ {"scene_index": 7, "scene": "A white plastic bowl is in the front-left, and two red cubes are in the front-right and back-right"}
9
+ {"scene_index": 8, "scene": "A white plastic tray is in the front-left, and two red cubes are in the front-right, back-left, and back-right"}
10
+ {"scene_index": 9, "scene": "A white bowl is in the front-left, two red cubes are in the front-right, one red cube is in the back-right, one green cube is in the back-left, and one red cube is in the center"}
11
+ {"scene_index": 10, "scene": "A white plastic bowl is in the front-left, and two red cubes are in the front-right and back-right. A green cube is in the front-right, and a red cube is in the back-right. A red cube is in the front-left, and a green cube is in the front-right. A red cube is in the back-left"}
12
+ {"scene_index": 11, "scene": "A white plastic bowl is in the front-left, and two red cubes are in the front-right and back-right"}
13
+ {"scene_index": 12, "scene": "A white oval plastic tray is in the front-left, two red cubes are in the front-right, one red cube is in the back-left, one green cube is in the front-right, and one red cube is in the center"}
14
+ {"scene_index": 13, "scene": "A white plastic bowl is in the front-left, and two red cubes are in the front-right, back-left, and back-right"}
15
+ {"scene_index": 14, "scene": "A white plastic bowl is in the front-left, and three red cubes are in the front-right, back-left, and back-right"}
16
+ {"scene_index": 15, "scene": "A white bowl is in the front-left, and two red cubes are in the front-right, back-left, and back-right"}
17
+ {"scene_index": 16, "scene": "A white bowl is in the front-left, and two red cubes are in the front-right, back-left, and back-right"}
18
+ {"scene_index": 17, "scene": "A white plastic bowl is in the front-left, and two red cubes are in the front-right and back-right. A green cube is in the front-right, and a red cube is in the back-right. A green cube is in the front-right"}
19
+ {"scene_index": 18, "scene": "A white bowl is in the front-left, and two red cubes are in the front-right, back-left, and back-right"}
20
+ {"scene_index": 19, "scene": "A white plastic bowl is in the front-left, and two red cubes are in the front-right, back-left, and back-right"}
21
+ {"scene_index": 20, "scene": "A white plastic tray is in the front-left, and two red cubes are in the front-right and back-right. A green cube is in the front-right, and a red cube is in the back-left. A green cube is in the front-right"}
22
+ {"scene_index": 21, "scene": "A white plastic tray is in the front-left, a red cube is in the front-right, a green cube is in the back-right, and a red cube is in the center"}
23
+ {"scene_index": 22, "scene": "A white plastic bowl is in the front-left, a red cube is in the front-right, a green cube is in the back-right, and a green cube is in the front"}
24
+ {"scene_index": 23, "scene": "A white oval tray is in the front-left, a red cube is in the front-right, a green cube is in the back-right, and a green cube is in the center"}
25
+ {"scene_index": 24, "scene": "A white plastic bowl is in the front-left, and two red cubes are in the front-right, back-left, and back-right. There is a green cube in the front-right, and a red cube in the back-right. There is a red cube in the front-left, and a red cube in the back-left. There is a red cube in the front-right, and a red cube in the back-right. There is a red cube in the front-left, and a red cube in the back-left. There is a red cube in the front-right, and a red cube in the back-right."}
26
+ {"scene_index": 25, "scene": "A white plastic bowl is in the front-left, and two red cubes are in the front-right, back-left, and back-right. There is a green cube in the front-right, a red cube in the back-left, a green cube in the front-right, and a red cube in the back-right. There is a green cube in the front-right, a red cube in the back-left, a green cube in the front-right, and a red cube in the back-right. There is a green cube in the front-right, a red cube in the back-left, a green cube in the front-right"}
27
+ {"scene_index": 26, "scene": "A white bowl is in the front-left, a red cube is in the front-right, a green cube is in the back-left, a red"}
28
+ {"scene_index": 27, "scene": "A white plastic bowl is in the front-left, and two red cubes are in the front-right and back-right. There is a green cube in the front, a red cube in the back, and a green cube in the back-right"}
29
+ {"scene_index": 28, "scene": "A white plastic bowl is in the front-left, and two red cubes are in the front-right and back-right. A green cube with a yellow Y is in the front-right, and a red cube with a white I is in the front-right. "}
30
+ {"scene_index": 29, "scene": "A white plastic bowl is in the front-left, and two red cubes are in the front-right and back-right. A green cube is in the front-right, and a red cube is in the back-left. A green cube is in the front-right"}
31
+ {"scene_index": 30, "scene": "A white plastic bowl is in the front-left, and two red cubes are in the front-right, back-left, and back-right"}
32
+ {"scene_index": 31, "scene": "A white, oval-shaped plastic container is in the front-left, and two red cubes are in the front-right and back-right. A green cube is in the front-right, and a red cube is in the back-right. A green cube is in the front-right"}
33
+ {"scene_index": 32, "scene": "A white oval dish is in the front-left, two red cubes are in the front-right, one red cube is in the back-right, one green cube is in the front-right"}
34
+ {"scene_index": 33, "scene": "A white oval tray is in the front-left, and two red cubes are in the front-right, back-left, and back-right"}
35
+ {"scene_index": 34, "scene": "A white oval tray is in the front-left, two red cubes are in the front-right, two green cubes are in the back-right, and two red cubes are in the back-left"}
36
+ {"scene_index": 35, "scene": "A white oval tray is in the front-left, two red cubes are in the front-right, one red cube is in the back-right, one green cube is in the back-left, and one red cube is in the center"}
37
+ {"scene_index": 36, "scene": "A white oval dish is in the front-left, two red cubes are in the front-right, one red cube is in the back-left, one green cube is in the back-right, and one red cube is in the center"}
Airbot_MMK2_move_tub/annotations/subtask_annotations.jsonl ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {"subtask_index": 0, "subtask": "Grasp the white box with left gripper"}
2
+ {"subtask_index": 1, "subtask": "Place the white box in the center of table with right gripper"}
3
+ {"subtask_index": 2, "subtask": "End"}
4
+ {"subtask_index": 3, "subtask": "Pass the white box to right gripper"}
5
+ {"subtask_index": 4, "subtask": "null"}
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