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Copy AIRBOT_MMK2_place_the_umbrella_and_the_ruler into RoboCOIN_useable

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  1. AIRBOT_MMK2_place_the_umbrella_and_the_ruler/.gitattributes +59 -0
  2. AIRBOT_MMK2_place_the_umbrella_and_the_ruler/README.md +326 -0
  3. AIRBOT_MMK2_place_the_umbrella_and_the_ruler/annotations/eef_acc_mag_annotation.jsonl +3 -0
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AIRBOT_MMK2_place_the_umbrella_and_the_ruler/.gitattributes ADDED
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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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+ *.tflite 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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+ *.webp filter=lfs diff=lfs merge=lfs -text
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AIRBOT_MMK2_place_the_umbrella_and_the_ruler/README.md ADDED
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+ ---
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+ task_categories:
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+ - robotics
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+
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+ language:
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+ - en
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+ - zh
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+
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+
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+ extra_gated_prompt: 'By accessing this dataset, you agree to cite the associated paper in your research/publications—see the "Citation" section for details. You agree to not use the dataset to conduct experiments that cause harm to human subjects.'
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+
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+
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+
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+ extra_gated_fields:
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+
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+ Company/Organization:
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+ type: 'text'
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+ description: 'e.g., "ETH Zurich", "Boston Dynamics", "Independent Researcher"'
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+
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+ Country:
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+ type: 'country'
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+ description: 'e.g., "Germany", "China", "United States"'
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+
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+
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+
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+ tags:
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+ - RoboCOIN
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+ - LeRobot
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+
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+ frame_range: 1K-10K
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+
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+ license: apache-2.0
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+
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+ configs:
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+ - config_name: default
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+ data_files: data/*/*.parquet
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+ ---
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+
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+ # AIRBOT_MMK2_place_the_umbrella_and_the_ruler
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+
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+ ## 📋 Overview
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+
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+ This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
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+
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+ **Robot Type:** `discover_robotics_aitbot_mmk2`
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+ | **Codebase Version:** `v2.1`
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+ **End-Effector Type:** `five_finger_hand`
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+
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+ ## 🏠 Scene Types
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+
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+ This dataset covers the following scene types:
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+ - `home`
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+
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+
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+ ## 🤖 Atomic Actions
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+
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+ This dataset includes the following atomic actions:
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+ - `grasp`
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+ - `place`
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+ - `pick`
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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** | 42 |
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+ | **Total Frames** | 7298 |
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+ | **Total Tasks** | 1 |
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+ | **Total Videos** | 168 |
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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** | 242.5MB |
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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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+ Pick up the small umbrella with one hand and place it in the white lid, then pick up the measuring ruler with your other hand and place it in the white lid.
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+
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+ ### Sub-Tasks
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+ This dataset includes 7 distinct subtasks:
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+
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+ 1. **Grasp the umbrella with the left gripper**
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+ 2. **Grasp the tape measure with the right gripper**
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+ 3. **Static**
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+ 4. **End**
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+ 5. **Place the tape measure in the white basket with the right gripper**
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+ 6. **Place the umbrella in the white basket with the left gripper**
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+ 7. **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 0:41
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+
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+
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+ ## 📁 Dataset Structure
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+
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+ This dataset follows the LeRobot format and contains the following components:
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+
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+ ### Data Files
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+ - **Videos**: Compressed video files containing RGB camera observations
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+ - **State Data**: Robot joint positions, velocities, and other state information
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+ - **Action Data**: Robot action commands and trajectories
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+ - **Metadata**: Episode metadata, timestamps, and annotations
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+
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+ ### File Organization
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+ - **Data Path Pattern**: `data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet`
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+ - **Video Path Pattern**: `videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4`
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+ - **Chunking**: Data is organized into 1 chunk(s)
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+ of size 1000
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+
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+
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+ ### Features Schema
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+
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+ The dataset includes the following features:
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+
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+ #### Visual Observations
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+ - **observation.images.cam_high_rgb**: video
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+ - FPS: 30
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+ - Codec: av1- **observation.images.cam_left_wrist_rgb**: video
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+ - FPS: 30
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+ - Codec: av1- **observation.images.cam_right_wrist_rgb**: video
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+ - FPS: 30
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+ - Codec: av1- **observation.images.cam_third_view**: video
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+ - FPS: 30
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+ - Codec: av1
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+
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+ #### State and Action- **observation.state**: float32- **action**: float32
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+
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+ #### Temporal Information
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+ - **timestamp**: float32
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+ - **frame_index**: int64
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+ - **episode_index**: int64
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+ - **index**: int64
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+ - **task_index**: int64
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+
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+
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+ #### Annotations
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+ - **subtask_annotation**: int32
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+ - **scene_annotation**: int32
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+
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+
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+ #### Motion Features
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+ - **eef_sim_pose_state**: float32
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+ - Dimensions: left_eef_pos_x, left_eef_pos_y, left_eef_pos_z, left_eef_ori_x, left_eef_ori_y, left_eef_ori_z, right_eef_pos_x, right_eef_pos_y, right_eef_pos_z, right_eef_ori_x, right_eef_ori_y, right_eef_ori_z
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+ - **eef_sim_pose_action**: float32
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+ - Dimensions: left_eef_pos_x, left_eef_pos_y, left_eef_pos_z, left_eef_ori_x, left_eef_ori_y, left_eef_ori_z, right_eef_pos_x, right_eef_pos_y, right_eef_pos_z, right_eef_ori_x, right_eef_ori_y, right_eef_ori_z
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+ - **eef_direction_state**: int32
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+ - Dimensions: left_eef_direction, right_eef_direction
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+ - **eef_direction_action**: int32
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+ - Dimensions: left_eef_direction, right_eef_direction
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+ - **eef_velocity_state**: int32
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+ - Dimensions: left_eef_velocity, right_eef_velocity
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+ - **eef_velocity_action**: int32
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+ - Dimensions: left_eef_velocity, right_eef_velocity
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+ - **eef_acc_mag_state**: int32
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+ - Dimensions: left_eef_acc_mag, right_eef_acc_mag
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+ - **eef_acc_mag_action**: int32
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+ - Dimensions: left_eef_acc_mag, right_eef_acc_mag
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+
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+
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+ #### Gripper Features
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+
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+
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+ ### Meta Information
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+
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+ The complete dataset metadata is available in [meta/info.json](meta/info.json):
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+
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+ ```json
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+ {"codebase_version": "v2.1", "robot_type": "discover_robotics_aitbot_mmk2", "total_episodes": 42, "total_frames": 7298, "total_tasks": 1, "total_videos": 168, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": {"train": "0:41"}, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": {"observation.images.cam_high_rgb": {"dtype": "video", "shape": [480, 640, 3], "names": ["height", "width", "channels"], "info": {"video.height": 480, "video.width": 640, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false}}, "observation.images.cam_left_wrist_rgb": {"dtype": "video", "shape": [480, 640, 3], "names": ["height", "width", "channels"], "info": {"video.height": 480, "video.width": 640, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false}}, "observation.images.cam_right_wrist_rgb": {"dtype": "video", "shape": [480, 640, 3], "names": ["height", "width", "channels"], "info": {"video.height": 480, "video.width": 640, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false}}, "observation.images.cam_third_view": {"dtype": "video", "shape": [480, 640, 3], "names": ["height", "width", "channels"], "info": {"video.height": 480, "video.width": 640, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false}}, "observation.state": {"dtype": "float32", "shape": [36], "names": ["left_arm_joint_1_rad", "left_arm_joint_2_rad", "left_arm_joint_3_rad", "left_arm_joint_4_rad", "left_arm_joint_5_rad", "left_arm_joint_6_rad", "right_arm_joint_1_rad", "right_arm_joint_2_rad", "right_arm_joint_3_rad", "right_arm_joint_4_rad", "right_arm_joint_5_rad", "right_arm_joint_6_rad", "left_hand_joint_1_rad", "left_hand_joint_2_rad", "left_hand_joint_3_rad", "left_hand_joint_4_rad", "left_hand_joint_5_rad", "left_hand_joint_6_rad", "left_hand_joint_7_rad", "left_hand_joint_8_rad", "left_hand_joint_9_rad", "left_hand_joint_10_rad", "left_hand_joint_11_rad", "left_hand_joint_12_rad", "right_hand_joint_1_rad", "right_hand_joint_2_rad", "right_hand_joint_3_rad", "right_hand_joint_4_rad", "right_hand_joint_5_rad", "right_hand_joint_6_rad", "right_hand_joint_7_rad", "right_hand_joint_8_rad", "right_hand_joint_9_rad", "right_hand_joint_10_rad", "right_hand_joint_11_rad", "right_hand_joint_12_rad"]}, "action": {"dtype": "float32", "shape": [36], "names": ["left_arm_joint_1_rad", "left_arm_joint_2_rad", "left_arm_joint_3_rad", "left_arm_joint_4_rad", "left_arm_joint_5_rad", "left_arm_joint_6_rad", "right_arm_joint_1_rad", "right_arm_joint_2_rad", "right_arm_joint_3_rad", "right_arm_joint_4_rad", "right_arm_joint_5_rad", "right_arm_joint_6_rad", "left_hand_joint_1_rad", "left_hand_joint_2_rad", "left_hand_joint_3_rad", "left_hand_joint_4_rad", "left_hand_joint_5_rad", "left_hand_joint_6_rad", "left_hand_joint_7_rad", "left_hand_joint_8_rad", "left_hand_joint_9_rad", "left_hand_joint_10_rad", "left_hand_joint_11_rad", "left_hand_joint_12_rad", "right_hand_joint_1_rad", "right_hand_joint_2_rad", "right_hand_joint_3_rad", "right_hand_joint_4_rad", "right_hand_joint_5_rad", "right_hand_joint_6_rad", "right_hand_joint_7_rad", "right_hand_joint_8_rad", "right_hand_joint_9_rad", "right_hand_joint_10_rad", "right_hand_joint_11_rad", "right_hand_joint_12_rad"]}, "timestamp": {"dtype": "float32", "shape": [1], "names": null}, "frame_index": {"dtype": "int64", "shape": [1], "names": null}, "episode_index": {"dtype": "int64", "shape": [1], "names": null}, "index": {"dtype": "int64", "shape": [1], "names": null}, "task_index": {"dtype": "int64", "shape": [1], "names": null}, "subtask_annotation": {"names": null, "dtype": "int32", "shape": [5]}, "scene_annotation": {"names": null, "dtype": "int32", "shape": [1]}, "eef_sim_pose_state": {"names": ["left_eef_pos_x", "left_eef_pos_y", "left_eef_pos_z", "left_eef_ori_x", "left_eef_ori_y", "left_eef_ori_z", "right_eef_pos_x", "right_eef_pos_y", "right_eef_pos_z", "right_eef_ori_x", "right_eef_ori_y", "right_eef_ori_z"], "dtype": "float32", "shape": [12]}, "eef_sim_pose_action": {"names": ["left_eef_pos_x", "left_eef_pos_y", "left_eef_pos_z", "left_eef_ori_x", "left_eef_ori_y", "left_eef_ori_z", "right_eef_pos_x", "right_eef_pos_y", "right_eef_pos_z", "right_eef_ori_x", "right_eef_ori_y", "right_eef_ori_z"], "dtype": "float32", "shape": [12]}, "eef_direction_state": {"names": ["left_eef_direction", "right_eef_direction"], "dtype": "int32", "shape": [2]}, "eef_direction_action": {"names": ["left_eef_direction", "right_eef_direction"], "dtype": "int32", "shape": [2]}, "eef_velocity_state": {"names": ["left_eef_velocity", "right_eef_velocity"], "dtype": "int32", "shape": [2]}, "eef_velocity_action": {"names": ["left_eef_velocity", "right_eef_velocity"], "dtype": "int32", "shape": [2]}, "eef_acc_mag_state": {"names": ["left_eef_acc_mag", "right_eef_acc_mag"], "dtype": "int32", "shape": [2]}, "eef_acc_mag_action": {"names": ["left_eef_acc_mag", "right_eef_acc_mag"], "dtype": "int32", "shape": [2]}}}
228
+ ```
229
+
230
+ ### Directory Structure
231
+
232
+ The dataset is organized as follows (showing leaf directories with first 5 files only):
233
+
234
+ ```
235
+ AIRBOT_MMK2_place_the_umbrella_and_the_ruler_qced_hardlink/
236
+ ├── annotations/
237
+ │ ├── eef_acc_mag_annotation.jsonl
238
+ │ ├── eef_direction_annotation.jsonl
239
+ │ ├── eef_velocity_annotation.jsonl
240
+ │ ├── gripper_activity_annotation.jsonl
241
+ │ ├── gripper_mode_annotation.jsonl
242
+ │ └── (...)
243
+ ├── data/
244
+ │ └── chunk-000/
245
+ │ ├── episode_000000.parquet
246
+ │ ├── episode_000001.parquet
247
+ │ ├── episode_000002.parquet
248
+ │ ├── episode_000003.parquet
249
+ │ ├── episode_000004.parquet
250
+ │ └── (...)
251
+ ├── meta/
252
+ │ ├── episodes.jsonl
253
+ │ ├── episodes_stats.jsonl
254
+ │ ├── info.json
255
+ │ └── tasks.jsonl
256
+ └── videos/
257
+ └── chunk-000/
258
+ ├── observation.images.cam_high_rgb/
259
+ │ ├── episode_000000.mp4
260
+ │ ├── episode_000001.mp4
261
+ │ ├── episode_000002.mp4
262
+ │ ├── episode_000003.mp4
263
+ │ ├── episode_000004.mp4
264
+ │ └── (...)
265
+ ├── observation.images.cam_left_wrist_rgb/
266
+ │ ├── episode_000000.mp4
267
+ │ ├── episode_000001.mp4
268
+ │ ├── episode_000002.mp4
269
+ │ ├── episode_000003.mp4
270
+ │ ├── episode_000004.mp4
271
+ │ └── (...)
272
+ ├── observation.images.cam_right_wrist_rgb/
273
+ │ ├── episode_000000.mp4
274
+ │ ├── episode_000001.mp4
275
+ │ ├── episode_000002.mp4
276
+ │ ├── episode_000003.mp4
277
+ │ ├── episode_000004.mp4
278
+ │ └── (...)
279
+ └── observation.images.cam_third_view/
280
+ ├── episode_000000.mp4
281
+ ├── episode_000001.mp4
282
+ ├── episode_000002.mp4
283
+ ├── episode_000003.mp4
284
+ ├── episode_000004.mp4
285
+ └── (...)
286
+ ```
287
+
288
+
289
+ ## 📞 Contact and Support
290
+
291
+ For questions, issues, or feedback regarding this dataset, please contact:
292
+ - **Email:** None
293
+ For questions, issues, or feedback regarding this dataset, please contact us.
294
+ ### Support
295
+ For technical support, please open an issue on our GitHub repository.
296
+
297
+ ## 📄 License
298
+
299
+ This dataset is released under the **apache-2.0** license.
300
+
301
+ Please refer to the LICENSE file for full license terms and conditions.
302
+
303
+
304
+ ## 📚 Citation
305
+
306
+ If you use this dataset in your research, please cite:
307
+
308
+ ```bibtex
309
+ @article{robocoin,
310
+ title={RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation},
311
+ 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},
312
+ journal={arXiv preprint arXiv:2511.17441},
313
+ url = {https://arxiv.org/abs/2511.17441},
314
+ year={2025}
315
+ }
316
+ ```
317
+
318
+ ### Additional References
319
+
320
+ If you use this dataset, please also consider citing:
321
+ - LeRobot Framework: https://github.com/huggingface/lerobot
322
+
323
+ ## 📌 Version Information
324
+
325
+ ## Version History
326
+ - v1.0.0 (2025-11): Initial release
AIRBOT_MMK2_place_the_umbrella_and_the_ruler/annotations/eef_acc_mag_annotation.jsonl ADDED
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+ {"eef_acc_mag_index": 0, "eef_acc_mag": "constant"}
2
+ {"eef_acc_mag_index": 1, "eef_acc_mag": "accelerating"}
3
+ {"eef_acc_mag_index": 2, "eef_acc_mag": "decelerating"}
AIRBOT_MMK2_place_the_umbrella_and_the_ruler/annotations/eef_direction_annotation.jsonl ADDED
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+ {"eef_direction_index": 0, "eef_direction": "forward"}
2
+ {"eef_direction_index": 1, "eef_direction": "backward"}
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+ {"eef_direction_index": 2, "eef_direction": "left"}
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+ {"eef_direction_index": 3, "eef_direction": "right"}
5
+ {"eef_direction_index": 4, "eef_direction": "up"}
6
+ {"eef_direction_index": 5, "eef_direction": "down"}
7
+ {"eef_direction_index": 6, "eef_direction": "still"}
AIRBOT_MMK2_place_the_umbrella_and_the_ruler/annotations/eef_velocity_annotation.jsonl ADDED
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+ {"eef_velocity_index": 0, "eef_velocity": "still"}
2
+ {"eef_velocity_index": 1, "eef_velocity": "slow"}
3
+ {"eef_velocity_index": 2, "eef_velocity": "fast"}
AIRBOT_MMK2_place_the_umbrella_and_the_ruler/annotations/gripper_activity_annotation.jsonl ADDED
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+ {"gripper_activity_index": 0, "gripper_activity": "openning"}
2
+ {"gripper_activity_index": 1, "gripper_activity": "closing"}
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+ {"gripper_activity_index": 2, "gripper_activity": "holding"}
4
+ {"gripper_activity_index": 3, "gripper_activity": "unknown"}
AIRBOT_MMK2_place_the_umbrella_and_the_ruler/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_place_the_umbrella_and_the_ruler/annotations/scene_annotations.jsonl ADDED
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+ {"scene_index": 0, "scene": "The orange tape measure is positioned to the right, the foldable umbrella is on the left, and the white lid is located at the front-left."}
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+ {"scene_index": 1, "scene": "The orange tape measure is positioned to the right, the foldable umbrella is on the left, and both the foldable object and the white lid are located at the front left."}
3
+ {"scene_index": 2, "scene": "The orange tape measure is on the right, the white lid is in front, the foldable umbrella is at the back left, and there s another white lid also in front."}
4
+ {"scene_index": 3, "scene": "The white lid is at the front The orange tape measure is on the right The foldable umbrella is in front left and unable is at back left"}
5
+ {"scene_index": 4, "scene": "The orange tape measure is on the right, the white lid is in front-left, and two foldable umbrellas are both located at the back-left."}
6
+ {"scene_index": 5, "scene": "The orange tape measure is on the right. The foldable umbrella is in front of the left side. The white lid is also in the front left. White is in front."}
7
+ {"scene_index": 6, "scene": "The orange tape measure is on the right, the foldable umbrella is on the left, and the white lid is in front."}
8
+ {"scene_index": 7, "scene": "The orange tape measure is on the right, the white lid is in front left, and the foldable umbrella is on the left."}
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+ {"scene_index": 8, "scene": "The orange tape measure is on the right, the foldable umbrella is at the back left, and the white lid is in front of it."}
10
+ {"scene_index": 9, "scene": "The foldable umbrella is at front left. The white lid is at front left. The orange tape measure is at right. The foldable umbrella is at left."}
11
+ {"scene_index": 10, "scene": "The orange tape measure is on the right, the foldable umbrella is on the left, and the white lid is in front left."}
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+ {"scene_index": 11, "scene": "The orange tape measure is on the right, the foldable umbrella is on the left, and the white lid is in front left."}
13
+ {"scene_index": 12, "scene": "The white lid is at the front, two foldable umbrellas are on the left and back left, and two orange tape measures are on the right."}
14
+ {"scene_index": 13, "scene": "The orange tape measure is on the right, while two foldable umbrellas and a white lid are all located in the front left area."}
15
+ {"scene_index": 14, "scene": "The orange tape measure is on the right, the foldable umbrella is on the left, and the white lid is in the front-left."}
16
+ {"scene_index": 15, "scene": "The foldable umbrella is on the left, the orange tape measures are both on the right, and the white lid is in front left."}
17
+ {"scene_index": 16, "scene": "Orange tape measure is on the right White lid is in front-left Foldable umbrella is also in front-left"}
18
+ {"scene_index": 17, "scene": "The white lid is at the front, the orange tape measure is on the right, and the foldable umbrella is on the left."}
19
+ {"scene_index": 18, "scene": "The white lid is at the front, the orange tape measure is on the right, and there are two foldable umbrellas, one located at the front left and the other on the left."}
20
+ {"scene_index": 19, "scene": "The orange tape measure is on the right side, and there s a white lid in front. A foldable umbrella is positioned to the left, and another foldable umbrella is located at the front-left."}
21
+ {"scene_index": 20, "scene": "The foldable umbrella is positioned at front left, sharing the same location as the white lid, while the orange tape measure is placed on the right."}
22
+ {"scene_index": 21, "scene": "The white lid is in front, while the foldable umbrella is on the left. On the right side, there s an orange tape measure and an orange."}
23
+ {"scene_index": 22, "scene": "The orange tape measure is on the right, the foldable umbrella is on the left, and the white lid is at the front-left."}
24
+ {"scene_index": 23, "scene": "The foldable umbrella is on the left, the orange tape measure is on the right, a white lid is at the front left, and another white lid is at the front."}
25
+ {"scene_index": 24, "scene": "The orange tape measure is on the right, the white lid is in front-left, and the foldable umbrella is on the left."}
26
+ {"scene_index": 25, "scene": "The orange tape measure is on the right, the foldable umbrella is on the left, and the white lid is in front."}
27
+ {"scene_index": 26, "scene": "The white lid is at the front, the foldable umbrella is at the back left, and the orange tape measure is on the right."}
28
+ {"scene_index": 27, "scene": "The orange tape measure is positioned to the right, while the foldable umbrella is placed to the left. The white lids are located at the front, with one specifically situated in the front-left area."}
29
+ {"scene_index": 28, "scene": "The white lid is at front left; orange tape measure is on the right; both foldable umbrellas are placed at front left and left."}
30
+ {"scene_index": 29, "scene": "The foldable umbrella is on the left, the orange tape measure is on the right, and the white lid is in front-left."}
31
+ {"scene_index": 30, "scene": "The orange tape measure is on the right side, the foldable umbrella is located at the back left, the white lid and the white item are both positioned in front."}
32
+ {"scene_index": 31, "scene": "The orange tape measure is on the right, the foldable umbrella is in the front left, another foldable umbrella is on the left, and the white lid is at the front."}
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+ {"scene_index": 32, "scene": "White lid is at the front, orange tape measure is on the right, and two foldable umbrellas are on the left."}
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+ {"scene_index": 33, "scene": "The foldable umbrella is on the left, the orange tape measure is on the right, and the white lid is in front."}
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+ {"scene_index": 34, "scene": "The foldable umbrella is on the left, the orange tape measure is on the right, and the white lid is in front left."}
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+ {"scene_index": 35, "scene": "The orange tape measure is on the right, the foldable umbrella is on the left, the white lid is at the front, and there s another white lid in the front-left."}
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+ {"scene_index": 36, "scene": "The orange tape measure is on the right side. The white lid and both foldable umbrellas are positioned in the front left area."}
38
+ {"scene_index": 37, "scene": "The orange tape measure is on the right, the foldable umbrella is on the left, the white lid is at the front left, and another white lid is at the front."}
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+ {"scene_index": 38, "scene": "The orange tape measure is on the right, the foldable umbrella is on the left, and the white lid is in front."}
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+ {"scene_index": 39, "scene": "The orange tape measure is on the right, with two foldable umbrellas positioned to its left, a white lid located at the front left."}
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+ {"scene_index": 40, "scene": "The foldable umbrella is at the back-left, the white lid is in front, and the orange tape measure is on the right."}
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+ {"scene_index": 41, "scene": "The orange tape measure is on the right, the white lid is in front, and the foldable umbrella is on the left."}
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+ {"scene_index": 42, "scene": "The orange tape measure is on the right side, the foldable umbrella is at the back left, the white lid is in front left, and another object labeled as able is also located in front left."}
44
+ {"scene_index": 43, "scene": "The foldable umbrella is on the left, the white lid is in the front-left position, and the orange tape measure is on the right."}
AIRBOT_MMK2_place_the_umbrella_and_the_ruler/annotations/subtask_annotations.jsonl ADDED
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+ {"subtask_index": 1, "subtask": "Grasp the tape measure with the right gripper"}
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+ {"subtask_index": 2, "subtask": "Static"}
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+ {"subtask_index": 3, "subtask": "End"}
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+ {"subtask_index": 4, "subtask": "Place the tape measure in the white basket with the right gripper"}
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+ {"subtask_index": 5, "subtask": "Place the umbrella in the white basket with the left gripper"}
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+ {"subtask_index": 6, "subtask": "null"}
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