Datasets:
ArXiv:
License:
| license: apache-2.0 | |
| # GUI Grounding Pre-training Data for OS-ATLAS | |
| This document describes the acquisition of the pre-training data used by OS-ATLAS. | |
| **Notes:** In GUI grounding data, the position of the target element is recorded in the `bbox` key, represented by `[left, top, right, bottom]`. | |
| Each value is a [0, 1] decimal number indicating the ratio of the corresponding position to the width or height of the image. | |
| The data we released is divided into three domains: mobile, desktop and web. | |
| All annotation data is stored in JSON format and each sample contains: | |
| * `img_filename`: the interface screenshot file | |
| * `instruction`: human instruction | |
| * `bbox`: the bounding box of the target element corresponding to instruction | |
| Some data also contains a `data_type`, which records the type of an element in its structured information, if it can be obtained. | |
| ### Mobile data | |
| This part of data is stored under the *mobile_domain* directory. Our mobile grounding data consists of four parts. | |
| #### AMEX | |
| Android Multi-annotation EXpo (AMEX) is a comprehensive, large-scale dataset designed for generalist mobile GUI-control agents [1]. | |
| The annotation data is stored in | |
| -'amex_raw.json' | |
| Due to the single file size limitation of Hugging Face datasets, we stored the Amex images in *zip* format and split them into several sub-files. | |
| - `amex_images_part_aa` | |
| - `amex_images_part_ab` | |
| - `amex_images_part_ac` | |
| You need to first merge these split files back into the original file and then extract the contents. | |
| ``` | |
| cat amex_images_part_* > amex_images.zip | |
| 7z x amex_images.zip -aoa -o/path/to/extract/folder | |
| ``` | |
| #### UIBert | |
| This is a dataset extended from Rico dataset [2] for two tasks: similar UI component retrieval and referring expression component retrieval [3]. | |
| The annotation data is stored in | |
| - `uibert_raw.json` | |
| The UIBert images are stored in | |
| - `UIBert.zip` | |
| #### Widget Captioning and RICOSCA | |
| Widget Captioning data are collected by [4]. | |
| RICOSCA is a dataset automatically labeled using Android VH in [5] | |
| The annotation data is stored in | |
| - `widget_captioning.json` | |
| - `ricosca.json` | |
| The rico images are stored in | |
| - `rico_imgs.zip` | |
| #### Android_world_data | |
| This part of data are sampled from a android environment for building and benchmarking autonomous computer control agents [6]. | |
| The annotation data is stored in | |
| - `aw_mobile.json` | |
| The rico images are stored in | |
| - `mobile_images.zip` | |
| ### Desktop data | |
| This part of data is stored under the *desktop_domain* directory. All of the desktop grounding data is collected from the real environments of personal computers running different operating systems. Each image is split into multiple sub-images to enhance data diversity. | |
| Our mobile grounding data consists of three parts. | |