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Copy alpha_bot_2_carry_the_clothes_basket into RoboCOIN_useable

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  1. alpha_bot_2_carry_the_clothes_basket/.gitattributes +59 -0
  2. alpha_bot_2_carry_the_clothes_basket/README.md +338 -0
  3. alpha_bot_2_carry_the_clothes_basket/annotations/eef_acc_mag_annotation.jsonl +3 -0
  4. alpha_bot_2_carry_the_clothes_basket/annotations/eef_direction_annotation.jsonl +7 -0
  5. alpha_bot_2_carry_the_clothes_basket/annotations/eef_velocity_annotation.jsonl +3 -0
  6. alpha_bot_2_carry_the_clothes_basket/annotations/gripper_activity_annotation.jsonl +4 -0
  7. alpha_bot_2_carry_the_clothes_basket/annotations/gripper_mode_annotation.jsonl +3 -0
  8. alpha_bot_2_carry_the_clothes_basket/annotations/scene_annotations.jsonl +96 -0
  9. alpha_bot_2_carry_the_clothes_basket/annotations/subtask_annotations.jsonl +9 -0
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alpha_bot_2_carry_the_clothes_basket/.gitattributes ADDED
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+ *.7z 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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+ *.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
alpha_bot_2_carry_the_clothes_basket/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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+ # alpha_bot_2_carry_the_clothes_basket
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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:** `alpha_bot_2`
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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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+
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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** | 46527 |
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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** | 2.5GB |
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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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+ carry the clothes basket in coordination with both hands.
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+
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+ ### Sub-Tasks
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+ This dataset includes 9 distinct subtasks:
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+
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+ 1. **Move the basket above the other table**
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+ 2. **Grasp the basket with both grippers**
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+ 3. **Grasp the basket with left gripper**
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+ 4. **Grasp the basket with right gripper**
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+ 5. **End**
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+ 6. **Place the basket on the table with right gripper**
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+ 7. **Place the basket on the table with both grippers**
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+ 8. **Place the basket on the table with left gripper**
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+ 9. **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_chest_rgb**: video
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+ - FPS: 30
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+ - Codec: av1- **observation.images.cam_head_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": "alpha_bot_2", "total_episodes": 50, "total_frames": 46527, "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_chest_rgb": {"dtype": "video", "shape": [480, 640, 3], "names": ["height", "width", "channels"], "info": {"video.height": 480, "video.width": 640, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false}}, "observation.images.cam_head_rgb": {"dtype": "video", "shape": [480, 640, 3], "names": ["height", "width", "channels"], "info": {"video.height": 480, "video.width": 640, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false}}, "observation.images.cam_left_wrist_rgb": {"dtype": "video", "shape": [480, 640, 3], "names": ["height", "width", "channels"], "info": {"video.height": 480, "video.width": 640, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false}}, "observation.images.cam_right_wrist_rgb": {"dtype": "video", "shape": [480, 640, 3], "names": ["height", "width", "channels"], "info": {"video.height": 480, "video.width": 640, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false}}, "observation.state": {"dtype": "float32", "shape": [28], "names": ["left_arm_joint_1_rad", "left_arm_joint_2_rad", "left_arm_joint_3_rad", "left_arm_joint_4_rad", "left_arm_joint_5_rad", "left_arm_joint_6_rad", "left_arm_joint_7_rad", "left_eef_pos_x_m", "left_eef_pos_y_m", "left_eef_pos_z_m", "left_eef_rot_euler_x_rad", "left_eef_rot_euler_y_rad", "left_eef_rot_euler_z_rad", "right_arm_joint_1_rad", "right_arm_joint_2_rad", "right_arm_joint_3_rad", "right_arm_joint_4_rad", "right_arm_joint_5_rad", "right_arm_joint_6_rad", "right_arm_joint_7_rad", "right_eef_pos_x_m", "right_eef_pos_y_m", "right_eef_pos_z_m", "right_eef_rot_euler_x_rad", "right_eef_rot_euler_y_rad", "right_eef_rot_euler_z_rad", "left_gripper_open", "right_gripper_open"]}, "action": {"dtype": "float32", "shape": [28], "names": ["left_arm_joint_1_rad", "left_arm_joint_2_rad", "left_arm_joint_3_rad", "left_arm_joint_4_rad", "left_arm_joint_5_rad", "left_arm_joint_6_rad", "left_arm_joint_7_rad", "left_eef_pos_x_m", "left_eef_pos_y_m", "left_eef_pos_z_m", "left_eef_rot_euler_x_rad", "left_eef_rot_euler_y_rad", "left_eef_rot_euler_z_rad", "right_arm_joint_1_rad", "right_arm_joint_2_rad", "right_arm_joint_3_rad", "right_arm_joint_4_rad", "right_arm_joint_5_rad", "right_arm_joint_6_rad", "right_arm_joint_7_rad", "right_eef_pos_x_m", "right_eef_pos_y_m", "right_eef_pos_z_m", "right_eef_rot_euler_x_rad", "right_eef_rot_euler_y_rad", "right_eef_rot_euler_z_rad", "left_gripper_open", "right_gripper_open"]}, "timestamp": {"dtype": "float32", "shape": [1], "names": null}, "frame_index": {"dtype": "int64", "shape": [1], "names": null}, "episode_index": {"dtype": "int64", "shape": [1], "names": null}, "index": {"dtype": "int64", "shape": [1], "names": null}, "task_index": {"dtype": "int64", "shape": [1], "names": null}, "subtask_annotation": {"names": null, "dtype": "int32", "shape": [5]}, "scene_annotation": {"names": null, "dtype": "int32", "shape": [1]}, "eef_sim_pose_state": {"names": ["left_eef_pos_x", "left_eef_pos_y", "left_eef_pos_z", "left_eef_ori_x", "left_eef_ori_y", "left_eef_ori_z", "right_eef_pos_x", "right_eef_pos_y", "right_eef_pos_z", "right_eef_ori_x", "right_eef_ori_y", "right_eef_ori_z"], "dtype": "float32", "shape": [12]}, "eef_sim_pose_action": {"names": ["left_eef_pos_x", "left_eef_pos_y", "left_eef_pos_z", "left_eef_ori_x", "left_eef_ori_y", "left_eef_ori_z", "right_eef_pos_x", "right_eef_pos_y", "right_eef_pos_z", "right_eef_ori_x", "right_eef_ori_y", "right_eef_ori_z"], "dtype": "float32", "shape": [12]}, "eef_direction_state": {"names": ["left_eef_direction", "right_eef_direction"], "dtype": "int32", "shape": [2]}, "eef_direction_action": {"names": ["left_eef_direction", "right_eef_direction"], "dtype": "int32", "shape": [2]}, "eef_velocity_state": {"names": ["left_eef_velocity", "right_eef_velocity"], "dtype": "int32", "shape": [2]}, "eef_velocity_action": {"names": ["left_eef_velocity", "right_eef_velocity"], "dtype": "int32", "shape": [2]}, "eef_acc_mag_state": {"names": ["left_eef_acc_mag", "right_eef_acc_mag"], "dtype": "int32", "shape": [2]}, "eef_acc_mag_action": {"names": ["left_eef_acc_mag", "right_eef_acc_mag"], "dtype": "int32", "shape": [2]}, "gripper_open_scale_state": {"names": ["left_gripper_open_scale", "right_gripper_open_scale"], "dtype": "float32", "shape": [2]}, "gripper_open_scale_action": {"names": ["left_gripper_open_scale", "right_gripper_open_scale"], "dtype": "float32", "shape": [2]}, "gripper_mode_state": {"names": ["left_gripper_mode", "right_gripper_mode"], "dtype": "int32", "shape": [2]}, "gripper_mode_action": {"names": ["left_gripper_mode", "right_gripper_mode"], "dtype": "int32", "shape": [2]}, "gripper_activity_state": {"names": ["left_gripper_activity", "right_gripper_activity"], "dtype": "int32", "shape": [2]}}}
240
+ ```
241
+
242
+ ### Directory Structure
243
+
244
+ The dataset is organized as follows (showing leaf directories with first 5 files only):
245
+
246
+ ```
247
+ alpha_bot_2_carry_the_clothes_basket_qced_hardlink/
248
+ ├── annotations/
249
+ │ ├── eef_acc_mag_annotation.jsonl
250
+ │ ├── eef_direction_annotation.jsonl
251
+ │ ├── eef_velocity_annotation.jsonl
252
+ │ ├── gripper_activity_annotation.jsonl
253
+ │ ├── gripper_mode_annotation.jsonl
254
+ │ └── (...)
255
+ ├── data/
256
+ │ └── chunk-000/
257
+ │ ├── episode_000000.parquet
258
+ │ ├── episode_000001.parquet
259
+ │ ├── episode_000002.parquet
260
+ │ ├── episode_000003.parquet
261
+ │ ├── episode_000004.parquet
262
+ │ └── (...)
263
+ ├── meta/
264
+ │ ├── episodes.jsonl
265
+ │ ├── episodes_stats.jsonl
266
+ │ ├── info.json
267
+ │ └── tasks.jsonl
268
+ └── videos/
269
+ └── chunk-000/
270
+ ├── observation.images.cam_chest_rgb/
271
+ │ ├── episode_000000.mp4
272
+ │ ├── episode_000001.mp4
273
+ │ ├── episode_000002.mp4
274
+ │ ├── episode_000003.mp4
275
+ │ ├── episode_000004.mp4
276
+ │ └── (...)
277
+ ├── observation.images.cam_head_rgb/
278
+ │ ├── episode_000000.mp4
279
+ │ ├── episode_000001.mp4
280
+ │ ├── episode_000002.mp4
281
+ │ ├── episode_000003.mp4
282
+ │ ├── episode_000004.mp4
283
+ │ └── (...)
284
+ ├── observation.images.cam_left_wrist_rgb/
285
+ │ ├── episode_000000.mp4
286
+ │ ├── episode_000001.mp4
287
+ │ ├── episode_000002.mp4
288
+ │ ├── episode_000003.mp4
289
+ │ ├── episode_000004.mp4
290
+ │ └── (...)
291
+ └── observation.images.cam_right_wrist_rgb/
292
+ ├── episode_000000.mp4
293
+ ├── episode_000001.mp4
294
+ ├── episode_000002.mp4
295
+ ├── episode_000003.mp4
296
+ ├── episode_000004.mp4
297
+ └── (...)
298
+ ```
299
+
300
+
301
+ ## 📞 Contact and Support
302
+
303
+ For questions, issues, or feedback regarding this dataset, please contact:
304
+ - **Email:** None
305
+ For questions, issues, or feedback regarding this dataset, please contact us.
306
+ ### Support
307
+ For technical support, please open an issue on our GitHub repository.
308
+
309
+ ## 📄 License
310
+
311
+ This dataset is released under the **apache-2.0** license.
312
+
313
+ Please refer to the LICENSE file for full license terms and conditions.
314
+
315
+
316
+ ## 📚 Citation
317
+
318
+ If you use this dataset in your research, please cite:
319
+
320
+ ```bibtex
321
+ @article{robocoin,
322
+ title={RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation},
323
+ 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},
324
+ journal={arXiv preprint arXiv:2511.17441},
325
+ url = {https://arxiv.org/abs/2511.17441},
326
+ year={2025}
327
+ }
328
+ ```
329
+
330
+ ### Additional References
331
+
332
+ If you use this dataset, please also consider citing:
333
+ - LeRobot Framework: https://github.com/huggingface/lerobot
334
+
335
+ ## 📌 Version Information
336
+
337
+ ## Version History
338
+ - v1.0.0 (2025-11): Initial release
alpha_bot_2_carry_the_clothes_basket/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"}
alpha_bot_2_carry_the_clothes_basket/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"}
alpha_bot_2_carry_the_clothes_basket/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"}
alpha_bot_2_carry_the_clothes_basket/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"}
alpha_bot_2_carry_the_clothes_basket/annotations/gripper_mode_annotation.jsonl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {"gripper_mode_index": 0, "gripper_mode": "open"}
2
+ {"gripper_mode_index": 1, "gripper_mode": "closed"}
3
+ {"gripper_mode_index": 2, "gripper_mode": "unknown"}
alpha_bot_2_carry_the_clothes_basket/annotations/scene_annotations.jsonl ADDED
@@ -0,0 +1,96 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {"scene_index": 0, "scene": "The clothes basket is positioned at the center."}
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+ {"scene_index": 1, "scene": "The clothes basket is positioned at the center."}
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+ {"scene_index": 2, "scene": "The clothes basket is positioned at the center."}
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+ {"scene_index": 3, "scene": "The clothes basket is positioned to the right."}
5
+ {"scene_index": 4, "scene": "The clothes basket is positioned at the center."}
6
+ {"scene_index": 5, "scene": "The clothes basket is on the right side."}
7
+ {"scene_index": 6, "scene": "The clothes basket is on the right."}
8
+ {"scene_index": 7, "scene": "The clothes basket is on the right."}
9
+ {"scene_index": 8, "scene": "The clothes basket is located at the center position."}
10
+ {"scene_index": 9, "scene": "The clothes basket is positioned at the center."}
11
+ {"scene_index": 10, "scene": "The clothes basket is placed at the center position."}
12
+ {"scene_index": 11, "scene": "The clothes basket is positioned at the center."}
13
+ {"scene_index": 12, "scene": "The clothes basket is positioned at the center."}
14
+ {"scene_index": 13, "scene": "The clothes basket is positioned to the right."}
15
+ {"scene_index": 14, "scene": "The clothes basket is placed at the center position."}
16
+ {"scene_index": 15, "scene": "The clothes basket is positioned to the right."}
17
+ {"scene_index": 16, "scene": "The clothes basket is placed at the center position."}
18
+ {"scene_index": 17, "scene": "The clothes basket is on the right side."}
19
+ {"scene_index": 18, "scene": "The clothes basket is positioned at the center."}
20
+ {"scene_index": 19, "scene": "The clothes basket is positioned at the center."}
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+ {"scene_index": 20, "scene": "The clothes basket is positioned at the center."}
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+ {"scene_index": 21, "scene": "The clothes basket is positioned at the center."}
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+ {"scene_index": 22, "scene": "The clothes basket is positioned at the center."}
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+ {"scene_index": 23, "scene": "The clothes basket is positioned at the center."}
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+ {"scene_index": 24, "scene": "The clothes basket is on the right side."}
26
+ {"scene_index": 25, "scene": "The clothes basket is positioned at the center."}
27
+ {"scene_index": 26, "scene": "The clothes basket is located at the center position."}
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+ {"scene_index": 27, "scene": "The clothes basket is positioned at the center."}
29
+ {"scene_index": 28, "scene": "The clothes basket is positioned on the right side."}
30
+ {"scene_index": 29, "scene": "The clothes basket is positioned at the back right location."}
31
+ {"scene_index": 30, "scene": "The clothes basket is on the right side."}
32
+ {"scene_index": 31, "scene": "The clothes basket is positioned at the center."}
33
+ {"scene_index": 32, "scene": "The clothes basket is positioned at the center."}
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+ {"scene_index": 33, "scene": "The clothes basket is located at the center position."}
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+ {"scene_index": 34, "scene": "The clothes basket is positioned to the right."}
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+ {"scene_index": 35, "scene": "The clothes basket is positioned at the center."}
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+ {"scene_index": 36, "scene": "The clothes basket is positioned at the center."}
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+ {"scene_index": 37, "scene": "The clothes basket is on the right side."}
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+ {"scene_index": 38, "scene": "The clothes basket is placed at the center position."}
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+ {"scene_index": 39, "scene": "The clothes basket is placed at the center position."}
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+ {"scene_index": 40, "scene": "The clothes basket is positioned at the center."}
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+ {"scene_index": 41, "scene": "The clothes basket is positioned to the right."}
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+ {"scene_index": 42, "scene": "The clothes basket is positioned at the center."}
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+ {"scene_index": 43, "scene": "The clothes basket is placed at the center position."}
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+ {"scene_index": 44, "scene": "The clothes basket is located at the center position."}
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+ {"scene_index": 45, "scene": "The clothes basket is positioned at the center."}
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+ {"scene_index": 46, "scene": "The clothes basket is positioned at the center."}
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+ {"scene_index": 47, "scene": "The clothes basket is placed at the center position."}
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+ {"scene_index": 48, "scene": "The clothes basket is placed at the center position."}
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+ {"scene_index": 49, "scene": "The clothes basket is on the right side."}
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+ {"scene_index": 50, "scene": "The clothes basket is placed at the center position."}
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+ {"scene_index": 51, "scene": "The clothes basket is placed at the center position."}
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+ {"scene_index": 52, "scene": "The clothes basket is located at the center position."}
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+ {"scene_index": 53, "scene": "The clothes basket is located at the center position."}
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+ {"scene_index": 54, "scene": "The clothes basket is placed at the center position."}
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+ {"scene_index": 55, "scene": "The clothes basket is positioned at the center."}
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+ {"scene_index": 56, "scene": "The clothes basket is positioned at the center."}
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+ {"scene_index": 57, "scene": "The clothes basket is placed at the center position."}
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+ {"scene_index": 58, "scene": "The clothes basket is on the right."}
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+ {"scene_index": 59, "scene": "The clothes basket is placed at the center position."}
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+ {"scene_index": 60, "scene": "The clothes basket is positioned at the center."}
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+ {"scene_index": 61, "scene": "The clothes basket is placed at the center position."}
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+ {"scene_index": 62, "scene": "The clothes basket is positioned at the center."}
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+ {"scene_index": 63, "scene": "The clothes basket is placed at the center position."}
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+ {"scene_index": 64, "scene": "The clothes basket is positioned on the right side."}
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+ {"scene_index": 65, "scene": "The clothes basket is positioned to the right."}
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+ {"scene_index": 66, "scene": "The clothes basket is located at the center position."}
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+ {"scene_index": 67, "scene": "The clothes basket is positioned at the center."}
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+ {"scene_index": 68, "scene": "The clothes basket is located at the center position."}
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+ {"scene_index": 69, "scene": "The clothes basket is placed at the center position."}
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+ {"scene_index": 70, "scene": "The clothes basket is positioned at the center."}
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+ {"scene_index": 76, "scene": "The clothes basket is placed at the center position."}
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+ {"scene_index": 78, "scene": "The clothes basket is on the right."}
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+ {"scene_index": 80, "scene": "The clothes basket is positioned to the right."}
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+ {"scene_index": 82, "scene": "The clothes basket is located at the center position."}
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+ {"scene_index": 83, "scene": "The clothes basket is located at the center position."}
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+ {"scene_index": 86, "scene": "The clothes basket is positioned at the center."}
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+ {"scene_index": 89, "scene": "The clothes basket is positioned at the center."}
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+ {"scene_index": 90, "scene": "The clothes basket is placed at the center position."}
92
+ {"scene_index": 91, "scene": "The clothes basket is located at the back position, indicating that it is situated behind other objects or in a rear area."}
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+ {"scene_index": 92, "scene": "The clothes basket is located at the center position."}
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+ {"scene_index": 93, "scene": "The clothes basket is placed at the center position."}
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+ {"scene_index": 95, "scene": "The clothes basket is placed at the center position."}
alpha_bot_2_carry_the_clothes_basket/annotations/subtask_annotations.jsonl ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {"subtask_index": 0, "subtask": "Move the basket above the other table"}
2
+ {"subtask_index": 1, "subtask": "Grasp the basket with both grippers"}
3
+ {"subtask_index": 2, "subtask": "Grasp the basket with left gripper"}
4
+ {"subtask_index": 3, "subtask": "Grasp the basket with right gripper"}
5
+ {"subtask_index": 4, "subtask": "End"}
6
+ {"subtask_index": 5, "subtask": "Place the basket on the table with right gripper"}
7
+ {"subtask_index": 6, "subtask": "Place the basket on the table with both grippers"}
8
+ {"subtask_index": 7, "subtask": "Place the basket on the table with left gripper"}
9
+ {"subtask_index": 8, "subtask": "null"}
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+ size 515858
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