| --- |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| - visual-question-answering |
| tags: |
| - android |
| - mobile |
| - ui-automation |
| - screen-understanding |
| pretty_name: Android in the Wild (AITW) |
| size_categories: |
| - 100M<n<1B |
| --- |
| |
| # Android in the Wild (AITW) |
|
|
| This is a mirror of Google's **Android in the Wild (AITW)** dataset, re-hosted on Hugging Face for easier community access. |
|
|
| ## Original Source |
|
|
| - **Paper:** [Android in the Wild: A Large-Scale Dataset for Android Device Control](https://arxiv.org/abs/2307.10088) |
| - **Original Repository:** [google-research/google-research/tree/master/android_in_the_wild](https://github.com/google-research/google-research/tree/master/android_in_the_wild) |
|
|
| ## Dataset Description |
|
|
| Android in the Wild (AITW) is a large-scale dataset for Android device control. It contains human demonstrations of natural language instructions being carried out on Android devices. Each demonstration consists of a sequence of screenshots paired with corresponding actions (taps, swipes, types, etc.) and UI annotations. |
|
|
| ## Dataset Structure |
|
|
| The dataset is organized into 5 subsets, stored as **gzip-compressed TFRecord** files: |
|
|
| | Subset | Shards | Description | |
| |--------|--------|-------------| |
| | `general` | 321 | General Android tasks | |
| | `google_apps` | 8,688 | Tasks on Google applications | |
| | `install` | 1,052 | App installation tasks | |
| | `single` | 252 | Single-step tasks | |
| | `web_shopping` | 1,025 | Web shopping tasks | |
|
|
| Additionally, the `splits/` directory contains JSON files defining train/test splits: |
| - `standard.json` |
| - `unseen_android_version.json` |
| - `unseen_domain.json` |
| - `unseen_subject.json` |
| - `unseen_verb.json` |
|
|
| ## Data Format |
|
|
| Each TFRecord contains examples with the following fields: |
| - `image/encoded` — screenshot image (encoded) |
| - `image/ui_annotations_ui_types` — UI element type annotations (e.g., `ICON_STOP`, `ICON_V_BACKWARD`) |
| - Additional action and metadata fields |
|
|
| ## Usage |
|
|
| ```python |
| import tensorflow as tf |
| import gzip |
| |
| def read_tfrecord(file_path): |
| with gzip.open(file_path, 'rb') as f: |
| raw = f.read() |
| dataset = tf.data.TFRecordDataset([file_path], compression_type='GZIP') |
| return dataset |
| ``` |
|
|
| For detailed usage instructions, refer to the [original repository](https://github.com/google-research/google-research/tree/master/android_in_the_wild). |
|
|
| ## License |
|
|
| This dataset is licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/), following the original release. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{rawles2023android, |
| title={Android in the Wild: A Large-Scale Dataset for Android Device Control}, |
| author={Rawles, Christopher and Li, Alice and Rodriguez, Daniel and Ber, Oriana and Zitkovich, Brianna}, |
| journal={arXiv preprint arXiv:2307.10088}, |
| year={2023} |
| } |
| ``` |
|
|
| ## Disclaimer |
|
|
| This is an unofficial mirror. All credit goes to the original authors at Google Research. This copy is provided solely to facilitate easier access for the research community. |
|
|
