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Android Control (Community Mirror)
This is a community mirror of the official 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 demonstrationgoal: high-level task descriptionstep_instructions: low-level action descriptionsscreenshots: PNG-encoded screen imagesaccessibility_trees: serialized accessibility tree protosactions: JSON-encoded action sequences
Loading the Data
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:
@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.
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