---
dataset_info:
  features:
  - name: task_id
    dtype: string
  - name: platform
    dtype:
      class_label:
        names:
          '0': 7-Zip
          '1': Affine
          '2': Atom
          '3': Anki
          '4': Bash
          '5': Blender
          '6': Chromium
          '7': Element
          '8': Eclipse
          '9': FreeCAD
          '10': Gedit
          '11': GIMP
          '12': Inkscape
          '13': IntelliJ IDEA
          '14': LibreOffice Calc
          '15': LibreOffice Draw
          '16': LibreOffice Impress
          '17': LibreOffice Writer
          '18': Mastodon
          '19': Matrix
          '20': Nextcloud
          '21': OnlyOffice Calendar
          '22': OnlyOffice Presentation
          '23': OBS Studio
  - name: instruction
    dtype: string
  - name: step_index
    dtype: int32
  - name: image
    dtype: image
  - name: code
    dtype: string
  - name: action
    dtype: string
  splits:
  - name: train
    num_bytes: 2854516158
    num_examples: 8599
  - name: test
    num_bytes: 864575732
    num_examples: 2355
  download_size: 4099027918
  dataset_size: 3719091890
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
tags:
- computer-use-agent
---

# Trace2Action Dataset

Trace2Action is a large-scale computer-use dataset designed for training and evaluating multimodal agents 
that operate graphical user interfaces through grounded action generation and procedural reasoning.

## Structure

| Field                | Type   | Description                               |
| -------------------- | ------ | ----------------------------------------- |
| `task_id`            | string | Unique trajectory identifier              |
| `platform`           | string | Application platform name                 |
| `instruction`        | string | Natural language task objective           |
| `step_index`         | int32  | Temporal index within trajectory          |
| `image`              | Image  | Screenshot corresponding to current state |
| `code`               | string | Ground-truth executable UI action         |
| `action`             | json   | Action description in JSON format         |

Action space
- `{"type": "CLICK", "x": [0, 100], "y": [0, 100] }`
- `{"type": "RIGHT_CLICK", "x": [0, 100], "y": [0, 100]}`
- `{"type": "DOUBLE_CLICK", "x": [0, 100], "y": [0, 100]}`
- `{"type": "DRAG_TO", "x": [0, 100], "y": [0, 100]}`
- `{"type": "SCROLL", "amount": <int>}`
- `{"type": "PRESS", "key": "<str>"}`
- `{"type": "HOTKEY", "keys": ["<str>", "<str>"]}`
- `{"type": "TYPE", "text": "<str>"}`

## Applications

Train set (20):
- 7-Zip    
- Affine 
- Atom 
- Anki     
- Bash
- Blender   
- Chromium   
- Element
- Eclipse
- FreeCAD   
- GIMP
- Inkscape           
- IntelliJ IDEA   
- LibreOffice Calc 
- LibreOffice Draw
- LibreOffice Writer 
- Mastodon   
- Nextcloud  
- OnlyOffice Calendar
- OnlyOffice Presentation

Test set (4):
- Gedit
- LibreOffice Impress
- Matrix
- OBS Studio

## Download

```python
from datasets import load_dataset
ds = load_dataset("dyfang/trace2action-10k")
```