trajectory / README.md
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---
license: mit
task_categories:
- robotics
- reinforcement-learning
tags:
- computer-use
- trajectory
- human-demonstration
- cua-format
---
# trajectory
Computer Use Agent (CUA) format trajectories for training computer use models.
## Dataset Description
This dataset contains human-recorded computer use trajectories in CUA format.
Each trajectory represents a sequence of actions (clicks, typing, scrolling, etc.)
performed on a computer to accomplish a task.
## Latest Trajectory
- **Name**: Pole_1
- **Description**: No description
- **Total Steps**: 9
- **Tags**: None
## Format
Each trajectory file is a JSON object with the following structure:
```json
{
"timestamp": "ISO-8601 timestamp",
"session_id": "unique trajectory ID",
"name": "recording name",
"tool_calls": [
{
"type": "computer_call",
"call_id": "unique call ID",
"status": "completed|failed",
"action": {
"type": "click|type|scroll|keypress|...",
"x": 123,
"y": 456,
...
}
}
],
"messages": [...],
"tags": [...],
"images": ["base64 screenshots..."]
}
```
## Source
Generated by [Project OWL](https://github.com/growthpods/project-owl) - Computer Use Agent Training Platform
## License
MIT License