---
language:
- en
license: mit
multimodality:
- video
paperswithcode_id: null
pretty_name: so100 Teleop Dataset
tags:
- robotics
- imitation-learning
- teleoperation
- video
task_categories:
- robotics
task_ids:
- robotics-manipulation
---

# Dataset Card for so100 Teleop Dataset

## Dataset Description

- **Repository:** [Add repository URL]
- **Paper:** [Add paper reference if applicable]
- **Point of Contact:** [Add contact information]

### Dataset Summary

This dataset contains teleoperation data for so100 robot manipulation tasks. The dataset includes:

- **Videos:** RGB video recordings of robot manipulation
- **Joint States:** Per-frame joint angle data
- **Actions:** Robot joint actions derived from state differences
- **Metadata:** Episode and frame indexing information

### Supported Tasks and Leaderboards

This dataset is designed for robot imitation learning and manipulation tasks.

### Languages

The dataset contains English language metadata.

## Dataset Structure

### Data Instances

Each episode contains:
- Video frames at 24.0 FPS
- Joint state data for 6 joints
- Action data for robot control
- Timestamp information
- Episode and frame indexing

### Data Fields

- `observation.state`: Joint angle data (float32, shape: [6])
- `action`: Robot joint actions (float32, shape: [6])
- `observation.images.main`: RGB video data (video, shape: [704, 1280, 3])
- `frame_index`: Frame index within episode (int64)
- `episode_index`: Episode identifier (int64)
- `index`: Global frame index (int64)
- `task_index`: Task identifier (int64)
- `timestamp`: Time from episode start (float32)
- `next.done`: Episode termination flag (bool)

### Data Splits

- **Train:** 348 frames across 1 episode

## Dataset Creation

### Source Data

#### Initial Data Collection and Normalization

The dataset was created from teleoperation recordings of so100 robot manipulation tasks.

#### Who are the source language producers?

[Add information about data collection process]

### Annotations

#### Annotation process

[Add information about annotation process if applicable]

#### Who are the annotators?

[Add information about annotators if applicable]

### Personal and Sensitive Information

[Add information about personal/sensitive data handling]

## Additional Information

### Dataset Curators

[Add curator information]

### Licensing Information

This dataset is licensed under the MIT License.

### Citation Information

```bibtex
@dataset{so100_teleop_dataset,
  title = {so100 Teleop Dataset},
  author = {[Add author information]},
  year = {2024},
  url = {[Add dataset URL]}
}
```

### Contributions

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### Contact

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