| --- |
| 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", |
| "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 |
|
|
| - `box` - This is the metadata used during evaluation. The json format file contains labels for the interactable elements on the screen and their corresponding bounding boxes. <i>They shouldn't be used while inferencing on the test set.</i> |
|
|
| <img src="screen_1.png" width="700" title="example screen image"> |
|
|
|
|
| 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} |
| } |
| ``` |
