---
license: mit
task_categories:
- text-generation
language:
- en
tags:
- code
pretty_name: OmniACT
---
<img src="intro.png" width="700" title="OmniACT">

Dataset for [OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web](https://arxiv.org/abs/2402.17553)

Splits:

| split_name | count |
|------------|-------|
| train      | 6788  |
| test       | 2020  |
| val        | 991   |

Example datapoint:
```json
  "2849": {
      "task": "data/tasks/desktop/ibooks/task_1.30.txt",
      "image": "data/data/desktop/ibooks/screen_1.png",
      "ocr": "ocr/desktop/ibooks/screen_1.json",
      "color": "detact_color/desktop/ibooks/screen_1.json",
      "icon": "detact_icon/desktop/ibooks/screen_1.json",
      "box": "data/metadata/desktop/boxes/ibooks/screen_1.json"
  },
```

where:

- `task` - contains natural language description ("Task") along with the corresponding PyAutoGUI code ("Output Script"):
```text
Task: Navigate to see the upcoming titles
Output Script:
pyautogui.moveTo(1881.5,1116.0)
```
- `image` - screen image where the action is performed

<img src="screen_1.png" width="700" title="example screen image">

- `ocr` - OCR of screen image (all text elements extracted from the screen image)
```json
{
    ocr:
{
    "Book": [
        1838.0,
        52.5
    ],
    "Store": [
        253.0,
        394.5
    ],
    "Browse": [
        2845.5,
        1323.0
    ],
    "Sections": [
        3227.0,
        52.5
    ],
    "v": [
        3298.5,
        53.0
    ],
    "Q": [
        47.5,
        138.5
    ],
    "Apple": [
        73.5,
        230.5
    ],
    "Books": [
        165.5,
        987.5
    ],
    "Top": [
        516.5,
        227.0
    ],
    "Charts": [
        622.0,
        224.5
    ],
...
}
```
- `color` and `icon` - list of UI elements along with their positions
```json
{
  "ctrl": [[2319.5, 2037.5], [2278.5, 1886.5], [2125.5, 1887.0], ...]
  "filter4": [[2319.5, 2037.5], [2278.5, 1886.5], ...]
  "calendar-empty": [[2319.5, 2037.5], [2278.5, 1886.5], [2125.5, 1887.0], ...]
  "volume-mute3": [[2319.5, 2037.5], [2278.5, 1886.5], [2125.5, 1887.0], ...]
  "command": [[2319.5, 2037.5], [2278.5, 1886.5], [2125.5, 1887.0], ...]
  "film3": [[2319.5, 2037.5], [2278.5, 1886.5], [2125.5, 1887.0],  
  "insert-template": [[2125.5, 1887.0], [2258.5, 1887.0], ...]
  "grid7": [[2296.5, 1894.5], [2125.5, 1884.5], [2099.5, 1868.5], [622.5, 1953.5]], 
  "map5": [[622.5, 1953.5]]
}
```
- `box` - bounding boxes of key UI elements
```json
{
    {
    "example_0": {
        "top_left": [
            482,
            1232
        ],
        "bottom_right": [
            1001,
            1516
        ],
        "label": "browse_mystery"
    },
    "example_1": {
        "top_left": [
            1053,
            1235
        ],
        "bottom_right": [
            1572,
            1519
        ],
        "label": "browse_kids"
    },
    "example_2": {
        "top_left": [
            1622,
            1237
        ],
        "bottom_right": [
            2141,
            1521
        ],
        "label": "browse_non_fiction"
    },
    "example_3": {
        "top_left": [
            2191,
            1238
        ],
        "bottom_right": [
            2710,
            1522
        ],
        "label": "browse_romance"
    },
...
}

```
To cite OmniACT, please use:
```
@misc{kapoor2024omniact,
      title={OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web}, 
      author={Raghav Kapoor and Yash Parag Butala and Melisa Russak and Jing Yu Koh and Kiran Kamble and Waseem Alshikh and Ruslan Salakhutdinov},
      year={2024},
      eprint={2402.17553},
      archivePrefix={arXiv},
      primaryClass={cs.AI}
}
```