---
license: apache-2.0
language:
- en
tags:
- multimodal
- gui-understanding
- agent-interaction
- android-control
task_categories:
- text-generation
size_categories:
- 1K<n<10K
---
# Processed Android Control Test Set for InfiGUI-R1 Evaluation

## Dataset Description

This repository contains the processed **test set** derived from the [Android Control dataset by Google Research](https://github.com/google-research/google-research/tree/master/android_control). It has been specifically prepared for evaluating the performance of our model, **InfiGUI-R1**.

The InfiGUI-R1 model is detailed in our paper:
* [InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners](https://arxiv.org/pdf/2504.14239)

This dataset facilitates standardized testing and reproducibility of the results presented in our research.

## Model and Further Details

The model evaluated using this test set can be found on Hugging Face:
* [Reallm-Labs/InfiGUI-R1-3B](https://huggingface.co/Reallm-Labs/InfiGUI-R1-3B)

For instructions on how to use this data with our model, along with more details about the InfiGUI-R1 project, please refer to our [InfiGUI-R1 GitHub repository](https://github.com/Reallm-Labs/InfiGUI-R1).

## Data Processing

The data herein is a processed version of the original Android Control test set. Our data processing approach follows the method detailed in [this QwenLM GitHub issue comment](https://github.com/QwenLM/Qwen2.5-VL/issues/904#issuecomment-2722214367).

## Citation Information

If you find this dataset or our work useful in your research, we would be grateful if you consider citing the following papers:

```bibtex
@article{liu2025infigui,
  title={InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners},
  author={Liu, Yuhang and Li, Pengxiang and Xie, Congkai and Hu, Xavier and Han, Xiaotian and Zhang, Shengyu and Yang, Hongxia and Wu, Fei},
  journal={arXiv preprint arXiv:2504.14239},
  year={2025}
}

@article{liu2025infiguiagent,
  title={InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection},
  author={Liu, Yuhang and Li, Pengxiang and Wei, Zishu and Xie, Congkai and Hu, Xueyu and Xu, Xinchen and Zhang, Shengyu and Han, Xiaotian and Yang, Hongxia and Wu, Fei},
  journal={arXiv preprint arXiv:2501.04575},
  year={2025}
}
````

We also strongly recommend citing the original data source:

```bibtex
@article{li2024effects,
  title={On the Effects of Data Scale on Computer 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 processed dataset is made available under the terms of the Apache License 2.0, consistent with the licensing of the original Android Control dataset.

```
Copyright 2024 The Google Research Authors.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    [http://www.apache.org/licenses/LICENSE-2.0](http://www.apache.org/licenses/LICENSE-2.0)

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
```

## Acknowledgements

We extend our sincere gratitude to the authors and contributors of the original [Android Control dataset](https://github.com/google-research/google-research/tree/master/android_control) for their significant work and for making their valuable data publicly available. Their efforts have been foundational for research in this area.

```