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README.md
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---
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language:
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- en
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license: mit
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multimodality:
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- video
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paperswithcode_id: null
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pretty_name: so100 Teleop Dataset
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tags:
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- robotics
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- imitation-learning
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- teleoperation
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- video
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task_categories:
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- robotics
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task_ids:
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- robotics-manipulation
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---
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# Dataset Card for so100 Teleop Dataset
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## Dataset Description
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- **Repository:** [Add repository URL]
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- **Paper:** [Add paper reference if applicable]
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- **Point of Contact:** [Add contact information]
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### Dataset Summary
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This dataset contains teleoperation data for so100 robot manipulation tasks. The dataset includes:
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- **Videos:** RGB video recordings of robot manipulation
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- **Joint States:** Per-frame joint angle data
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- **Actions:** Robot joint actions derived from state differences
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- **Metadata:** Episode and frame indexing information
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### Supported Tasks and Leaderboards
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This dataset is designed for robot imitation learning and manipulation tasks.
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### Languages
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The dataset contains English language metadata.
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## Dataset Structure
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### Data Instances
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Each episode contains:
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- Video frames at 24.0 FPS
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- Joint state data for 6 joints
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- Action data for robot control
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- Timestamp information
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- Episode and frame indexing
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### Data Fields
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- `observation.state`: Joint angle data (float32, shape: [6])
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- `action`: Robot joint actions (float32, shape: [6])
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- `observation.images.main`: RGB video data (video, shape: [704, 1280, 3])
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- `frame_index`: Frame index within episode (int64)
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- `episode_index`: Episode identifier (int64)
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- `index`: Global frame index (int64)
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- `task_index`: Task identifier (int64)
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- `timestamp`: Time from episode start (float32)
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- `next.done`: Episode termination flag (bool)
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### Data Splits
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- **Train:** 348 frames across 1 episode
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## Dataset Creation
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### Source Data
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#### Initial Data Collection and Normalization
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The dataset was created from teleoperation recordings of so100 robot manipulation tasks.
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#### Who are the source language producers?
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[Add information about data collection process]
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### Annotations
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#### Annotation process
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[Add information about annotation process if applicable]
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#### Who are the annotators?
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[Add information about annotators if applicable]
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### Personal and Sensitive Information
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[Add information about personal/sensitive data handling]
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## Additional Information
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### Dataset Curators
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[Add curator information]
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### Licensing Information
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This dataset is licensed under the MIT License.
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### Citation Information
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```bibtex
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@dataset{so100_teleop_dataset,
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title = {so100 Teleop Dataset},
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author = {[Add author information]},
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year = {2024},
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url = {[Add dataset URL]}
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}
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```
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### Contributions
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[Add contribution information]
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### Contact
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[Add contact information]
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