| --- |
| license: apache-2.0 |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: accessibility |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 653490753.125 |
| num_examples: 1127 |
| download_size: 618157948 |
| dataset_size: 653490753.125 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| task_categories: |
| - object-detection |
| language: |
| - en |
| tags: |
| - accessibility |
| - macOS |
| - hierarchy |
| pretty_name: Screen2AX-Tree |
| size_categories: |
| - 1K<n<10K |
| --- |
| # 📦 Screen2AX-Tree |
|
|
| Screen2AX-Tree is part of the **Screen2AX** dataset suite, a research-driven collection for advancing accessibility in macOS applications using computer vision and deep learning. |
|
|
| This dataset provides **hierarchical accessibility annotations** of macOS application screenshots, structured as serialized trees. It is designed for training models that reconstruct accessibility hierarchies from visual input. |
|
|
| --- |
|
|
| ## 🧠 Dataset Summary |
|
|
| Each sample in the dataset consists of: |
| - An application **screenshot** (`image`) |
| - A serialized **accessibility tree** (`accessibility`): A JSON-formatted string representing the UI structure, including roles, bounds, and child relationships. |
|
|
| **Task Category:** |
| - `object-detection` (structured / hierarchical) |
|
|
| **Language:** |
| - English (`en`) |
|
|
| --- |
|
|
| ## 📚 Usage |
|
|
| ### Load with `datasets` library |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("macpaw-research/Screen2AX-Tree") |
| ``` |
|
|
| ### Example structure |
|
|
| ```python |
| sample = dataset["train"][0] |
| print(sample.keys()) |
| # dict_keys(['image', 'accessibility']) |
| |
| print(sample["accessibility"]) |
| # '{ "role": "AXWindow", "children": [ ... ] }' |
| ``` |
|
|
| You can parse the accessibility field as JSON to work with the structured hierarchy: |
|
|
| ```python |
| import json |
| |
| tree = json.loads(sample["accessibility"]) |
| ``` |
|
|
| --- |
|
|
| ## 📜 License |
|
|
| This dataset is licensed under the **Apache 2.0 License**. |
|
|
| --- |
|
|
| ## 🔗 Related Projects |
|
|
| - [Screen2AX Main Project Page](https://github.com/MacPaw/Screen2AX) |
| - [Screen2AX HuggingFace Collection](https://huggingface.co/collections/macpaw-research/screen2ax) |
|
|
| --- |
|
|
| ## ✍️ Citation |
|
|
| If you use this dataset, please cite the Screen2AX paper: |
|
|
| ```bibtex |
| @misc{muryn2025screen2axvisionbasedapproachautomatic, |
| title={Screen2AX: Vision-Based Approach for Automatic macOS Accessibility Generation}, |
| author={Viktor Muryn and Marta Sumyk and Mariya Hirna and Sofiya Garkot and Maksym Shamrai}, |
| year={2025}, |
| eprint={2507.16704}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.LG}, |
| url={https://arxiv.org/abs/2507.16704}, |
| } |
| ``` |
|
|
| --- |
|
|
| ## 🌐 MacPaw Research |
|
|
| Learn more at [https://research.macpaw.com](https://research.macpaw.com) |
