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--- |
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license: mit |
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task_categories: |
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- text-generation |
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language: |
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- en |
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tags: |
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- code |
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pretty_name: OmniACT |
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--- |
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<img src="intro.png" width="700" title="OmniACT"> |
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Dataset for [OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web](https://arxiv.org/abs/2402.17553) |
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Splits: |
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| split_name | count | |
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|------------|-------| |
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| train | 6788 | |
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| test | 2020 | |
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| val | 991 | |
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Example datapoint: |
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```json |
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"2849": { |
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"task": "data/tasks/desktop/ibooks/task_1.30.txt", |
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"image": "data/data/desktop/ibooks/screen_1.png", |
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"box": "data/metadata/desktop/boxes/ibooks/screen_1.json" |
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}, |
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``` |
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where: |
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- `task` - contains natural language description ("Task") along with the corresponding PyAutoGUI code ("Output Script"): |
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```text |
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Task: Navigate to see the upcoming titles |
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Output Script: |
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pyautogui.moveTo(1881.5,1116.0) |
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``` |
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- `image` - screen image where the action is performed |
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- `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> |
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<img src="screen_1.png" width="700" title="example screen image"> |
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To cite OmniACT, please use: |
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``` |
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@misc{kapoor2024omniact, |
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title={OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web}, |
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author={Raghav Kapoor and Yash Parag Butala and Melisa Russak and Jing Yu Koh and Kiran Kamble and Waseem Alshikh and Ruslan Salakhutdinov}, |
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year={2024}, |
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eprint={2402.17553}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.AI} |
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} |
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``` |
