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Copy RMC-AIDA-L_pour_tea into RoboCOIN_useable

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  1. RMC-AIDA-L_pour_tea/.gitattributes +59 -0
  2. RMC-AIDA-L_pour_tea/README.md +337 -0
  3. RMC-AIDA-L_pour_tea/annotations/eef_acc_mag_annotation.jsonl +3 -0
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  5. RMC-AIDA-L_pour_tea/annotations/eef_velocity_annotation.jsonl +3 -0
  6. RMC-AIDA-L_pour_tea/annotations/gripper_activity_annotation.jsonl +4 -0
  7. RMC-AIDA-L_pour_tea/annotations/gripper_mode_annotation.jsonl +3 -0
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RMC-AIDA-L_pour_tea/.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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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.bz2 filter=lfs diff=lfs merge=lfs -text
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+ *.ckpt filter=lfs diff=lfs merge=lfs -text
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+ *.h5 filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.mds filter=lfs diff=lfs merge=lfs -text
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+ *.pt filter=lfs diff=lfs merge=lfs -text
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+ *.pth 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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+ *.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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+ *.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
RMC-AIDA-L_pour_tea/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: 100K-1M
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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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+ # RMC-AIDA-L_pour_tea
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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:** `realman_rmc_aidal`
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+ | **Codebase Version:** `v2.1`
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+ **End-Effector Type:** `two_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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+ - `home`
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+ - `restaurant`
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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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+ - `place`
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+ - `pick`
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+ - `pour`
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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** | 790 |
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+ | **Total Frames** | 547759 |
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+ | **Total Tasks** | 2 |
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+ | **Total Videos** | 2370 |
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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** | 4.0GB |
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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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+ Grasp the handle of the teapot with one hand and pour tea into the teacup.
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+ Grasp the handle of the teapot with one hand and pour tea into the teacup.
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+
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+ ### Sub-Tasks
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+ This dataset includes 14 distinct subtasks:
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+
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+ 1. **Pour tea into the teacup with the light gripper**
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+ 2. **Pour tea into the teacup with the right gripper**
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+ 3. **end**
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+ 4. **abnormal**
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+ 5. **Pour tea into the teacup with the left gripper**
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+ 6. **Pick up the teacup with the right gripper**
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+ 7. **Put down the teapot with the left gripper**
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+ 8. **Pick up the teacup with the left gripper**
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+ 9. **Pick up the teapot with the right gripper**
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+ 10. **Place the teacup in the center of view with the left gripper**
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+ 11. **Pick up the teapot with the left gripper**
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+ 12. **Put down the teapot with the right gripper**
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+ 13. **Place the teacup in the center of view with the right gripper**
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+ 14. **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 3 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 0:789
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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
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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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+ - **gripper_open_scale_state**: float32
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+ - Dimensions: left_gripper_open_scale, right_gripper_open_scale
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+ - **gripper_open_scale_action**: float32
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+ - Dimensions: left_gripper_open_scale, right_gripper_open_scale
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+ - **gripper_mode_state**: int32
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+ - Dimensions: left_gripper_mode, right_gripper_mode
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+ - **gripper_mode_action**: int32
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+ - Dimensions: left_gripper_mode, right_gripper_mode
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+ - **gripper_activity_state**: int32
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+ - Dimensions: left_gripper_activity, right_gripper_activity
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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": "realman_rmc_aidal", "total_episodes": 790, "total_frames": 547759, "total_tasks": 2, "total_videos": 2370, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": {"train": "0:789"}, "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.state": {"dtype": "float32", "shape": [28], "names": ["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_gripper_open", "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_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_gripper_open", "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"]}, "action": {"dtype": "float32", "shape": [28], "names": ["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_gripper_open", "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_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_gripper_open", "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"]}, "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]}}}
246
+ ```
247
+
248
+ ### Directory Structure
249
+
250
+ The dataset is organized as follows (showing leaf directories with first 5 files only):
251
+
252
+ ```
253
+ RMC-AIDA-L_pour_tea_qced_hardlink/
254
+ ├── annotations/
255
+ │ ├── eef_acc_mag_annotation.jsonl
256
+ │ ├── eef_direction_annotation.jsonl
257
+ │ ├── eef_velocity_annotation.jsonl
258
+ │ ├── gripper_activity_annotation.jsonl
259
+ │ ├── gripper_mode_annotation.jsonl
260
+ │ └── (...)
261
+ ├── data/
262
+ │ └── chunk-000/
263
+ │ ├── episode_000000.parquet
264
+ │ ├── episode_000001.parquet
265
+ │ ├── episode_000002.parquet
266
+ │ ├── episode_000003.parquet
267
+ │ ├── episode_000004.parquet
268
+ │ └── (...)
269
+ ├── meta/
270
+ │ ├── episodes.jsonl
271
+ │ ├── episodes_stats.jsonl
272
+ │ ├── info.json
273
+ │ └── tasks.jsonl
274
+ └── videos/
275
+ └── chunk-000/
276
+ ├── observation.images.cam_high_rgb/
277
+ │ ├── episode_000000.mp4
278
+ │ ├── episode_000001.mp4
279
+ │ ├── episode_000002.mp4
280
+ │ ├── episode_000003.mp4
281
+ │ ├── episode_000004.mp4
282
+ │ └── (...)
283
+ ├── observation.images.cam_left_wrist_rgb/
284
+ │ ├── episode_000000.mp4
285
+ │ ├── episode_000001.mp4
286
+ │ ├── episode_000002.mp4
287
+ │ ├── episode_000003.mp4
288
+ │ ├── episode_000004.mp4
289
+ │ └── (...)
290
+ └── observation.images.cam_right_wrist_rgb/
291
+ ├── episode_000000.mp4
292
+ ├── episode_000001.mp4
293
+ ├── episode_000002.mp4
294
+ ├── episode_000003.mp4
295
+ ├── episode_000004.mp4
296
+ └── (...)
297
+ ```
298
+
299
+
300
+ ## 📞 Contact and Support
301
+
302
+ For questions, issues, or feedback regarding this dataset, please contact:
303
+ - **Email:** None
304
+ For questions, issues, or feedback regarding this dataset, please contact us.
305
+ ### Support
306
+ For technical support, please open an issue on our GitHub repository.
307
+
308
+ ## 📄 License
309
+
310
+ This dataset is released under the **apache-2.0** license.
311
+
312
+ Please refer to the LICENSE file for full license terms and conditions.
313
+
314
+
315
+ ## 📚 Citation
316
+
317
+ If you use this dataset in your research, please cite:
318
+
319
+ ```bibtex
320
+ @article{robocoin,
321
+ title={RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation},
322
+ 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},
323
+ journal={arXiv preprint arXiv:2511.17441},
324
+ url = {https://arxiv.org/abs/2511.17441},
325
+ year={2025}
326
+ }
327
+ ```
328
+
329
+ ### Additional References
330
+
331
+ If you use this dataset, please also consider citing:
332
+ - LeRobot Framework: https://github.com/huggingface/lerobot
333
+
334
+ ## 📌 Version Information
335
+
336
+ ## Version History
337
+ - v1.0.0 (2025-11): Initial release
RMC-AIDA-L_pour_tea/annotations/eef_acc_mag_annotation.jsonl ADDED
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+ {"eef_acc_mag_index": 0, "eef_acc_mag": "constant"}
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+ {"eef_acc_mag_index": 1, "eef_acc_mag": "accelerating"}
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+ {"eef_acc_mag_index": 2, "eef_acc_mag": "decelerating"}
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+ {"eef_direction_index": 3, "eef_direction": "right"}
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+ {"eef_direction_index": 4, "eef_direction": "up"}
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+ {"eef_direction_index": 5, "eef_direction": "down"}
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+ {"eef_direction_index": 6, "eef_direction": "still"}
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+ {"eef_velocity_index": 0, "eef_velocity": "still"}
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+ {"gripper_activity_index": 0, "gripper_activity": "openning"}
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+ {"gripper_activity_index": 1, "gripper_activity": "closing"}
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+ {"gripper_activity_index": 2, "gripper_activity": "holding"}
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+ {"gripper_activity_index": 3, "gripper_activity": "unknown"}
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+ {"gripper_mode_index": 1, "gripper_mode": "closed"}
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+ {"gripper_mode_index": 2, "gripper_mode": "unknown"}
RMC-AIDA-L_pour_tea/annotations/scene_annotations.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
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+ {"subtask_index": 0, "subtask": "Pour tea into the teacup with the light gripper"}
2
+ {"subtask_index": 1, "subtask": "Pour tea into the teacup with the right gripper"}
3
+ {"subtask_index": 2, "subtask": "end"}
4
+ {"subtask_index": 3, "subtask": "abnormal"}
5
+ {"subtask_index": 4, "subtask": "Pour tea into the teacup with the left gripper"}
6
+ {"subtask_index": 5, "subtask": "Pick up the teacup with the right gripper"}
7
+ {"subtask_index": 6, "subtask": "Put down the teapot with the left gripper"}
8
+ {"subtask_index": 7, "subtask": "Pick up the teacup with the left gripper"}
9
+ {"subtask_index": 8, "subtask": "End"}
10
+ {"subtask_index": 9, "subtask": "Pick up the teapot with the right gripper"}
11
+ {"subtask_index": 10, "subtask": "Place the teacup in the center of view with the left gripper"}
12
+ {"subtask_index": 11, "subtask": "Pick up the teapot with the left gripper"}
13
+ {"subtask_index": 12, "subtask": "Put down the teapot with the right gripper"}
14
+ {"subtask_index": 13, "subtask": "Abnormal"}
15
+ {"subtask_index": 14, "subtask": "Place the teacup in the center of view with the right gripper"}
16
+ {"subtask_index": 15, "subtask": "null"}
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