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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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"ocr": "ocr/desktop/ibooks/screen_1.json", |
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"color": "detact_color/desktop/ibooks/screen_1.json", |
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"icon": "detact_icon/desktop/ibooks/screen_1.json", |
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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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<img src="screen_1.png" width="700" title="example screen image"> |
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- `ocr` - OCR of screen image (all text elements extracted from the screen image) |
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```json |
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{ |
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ocr: |
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{ |
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"Book": [ |
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1838.0, |
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52.5 |
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], |
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"Store": [ |
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253.0, |
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394.5 |
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], |
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"Browse": [ |
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2845.5, |
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1323.0 |
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], |
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"Sections": [ |
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3227.0, |
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52.5 |
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], |
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"v": [ |
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3298.5, |
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53.0 |
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], |
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"Q": [ |
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47.5, |
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138.5 |
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], |
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"Apple": [ |
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73.5, |
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230.5 |
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], |
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"Books": [ |
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165.5, |
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987.5 |
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], |
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"Top": [ |
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516.5, |
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227.0 |
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], |
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"Charts": [ |
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622.0, |
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224.5 |
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], |
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... |
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} |
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``` |
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- `color` and `icon` - list of UI elements along with their positions |
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```json |
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{ |
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"ctrl": [[2319.5, 2037.5], [2278.5, 1886.5], [2125.5, 1887.0], ...] |
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"filter4": [[2319.5, 2037.5], [2278.5, 1886.5], ...] |
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"calendar-empty": [[2319.5, 2037.5], [2278.5, 1886.5], [2125.5, 1887.0], ...] |
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"volume-mute3": [[2319.5, 2037.5], [2278.5, 1886.5], [2125.5, 1887.0], ...] |
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"command": [[2319.5, 2037.5], [2278.5, 1886.5], [2125.5, 1887.0], ...] |
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"film3": [[2319.5, 2037.5], [2278.5, 1886.5], [2125.5, 1887.0], |
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"insert-template": [[2125.5, 1887.0], [2258.5, 1887.0], ...] |
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"grid7": [[2296.5, 1894.5], [2125.5, 1884.5], [2099.5, 1868.5], [622.5, 1953.5]], |
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"map5": [[622.5, 1953.5]] |
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} |
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``` |
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- `box` - bounding boxes of key UI elements |
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```json |
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{ |
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{ |
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"example_0": { |
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"top_left": [ |
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482, |
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1232 |
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], |
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"bottom_right": [ |
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1001, |
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1516 |
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], |
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"label": "browse_mystery" |
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}, |
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"example_1": { |
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"top_left": [ |
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1053, |
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1235 |
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], |
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"bottom_right": [ |
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1572, |
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1519 |
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], |
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"label": "browse_kids" |
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}, |
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"example_2": { |
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"top_left": [ |
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1622, |
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1237 |
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], |
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"bottom_right": [ |
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2141, |
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1521 |
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], |
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"label": "browse_non_fiction" |
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}, |
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"example_3": { |
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"top_left": [ |
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2191, |
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1238 |
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], |
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"bottom_right": [ |
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2710, |
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1522 |
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], |
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"label": "browse_romance" |
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}, |
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... |
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} |
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``` |
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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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``` |
