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README.md

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+---
+license: apache-2.0
+task_categories:
+  - robotics
+  - image-to-text
+tags:
+  - android
+  - gui-agent
+  - device-control
+  - mobile
+  - ui-automation
+  - google-research
+pretty_name: Android Control
+size_categories:
+  - 10K<n<100K
+---
+
+# Android Control (Community Mirror)
+
+> **This is a community mirror of the official [Android Control](https://github.com/google-research/google-research/tree/master/android_control) dataset by Google Research, hosted on Hugging Face for easier access.**
+
+The original dataset is hosted on Google Cloud Storage at `gs://gresearch/android_control/`. This copy is provided to make it more accessible to the research community via Hugging Face.
+
+## Dataset Description
+
+Android Control is a dataset for training and evaluating Android device control agents. It contains **15,283 demonstrations** across **833 Android apps** covering **40 app categories**, with **14,548 unique tasks**.
+
+Each demonstration includes:
+- **Screenshots** (PNG-encoded)
+- **Accessibility trees** (serialized protocol buffer format)
+- **Natural language instructions** — both high-level goals and low-level step-by-step instructions
+- **Actions** — `click`, `scroll`, `input_text`, `open_app`, `navigate_home`, `navigate_back`, `long_press`, `wait`
+
+### Data Format
+
+The data is stored as **TFRecord files** with GZIP compression. Each record contains:
+- `episode_id`: unique identifier for the demonstration
+- `goal`: high-level task description
+- `step_instructions`: low-level action descriptions
+- `screenshots`: PNG-encoded screen images
+- `accessibility_trees`: serialized accessibility tree protos
+- `actions`: JSON-encoded action sequences
+
+### Loading the Data
+
+```python
+import tensorflow as tf
+
+filenames = tf.io.gfile.glob('path/to/android_control*')
+raw_dataset = tf.data.TFRecordDataset(filenames, compression_type='GZIP')
+```
+
+## Citation
+
+If you use this dataset, please cite the original paper:
+
+```bibtex
+@article{li2024effects,
+  title={On the Effects of Data Scale on UI Control Agents},
+  author={Li, Wei and Bishop, William and Li, Alice and Rawles, Chris and Campbell-Ajala, Folawiyo and Tyamagundlu, Divya and Riva, Oriana},
+  journal={arXiv preprint arXiv:2406.03679},
+  year={2024}
+}
+```
+
+## License
+
+This dataset is released under the **Apache License 2.0** by Google Research.
+
+## Disclaimer
+
+This is an unofficial community mirror. All credit goes to the original authors at Google Research. If you are an author and would like this mirror removed, please open an issue.