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README.md
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---
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license: apache-2.0
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language:
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- en
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tags:
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- multimodal
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- gui-understanding
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- agent-interaction
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- android-control
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task_categories:
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- text-generation
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size_categories:
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- 1K<n<10K
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---
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# Processed Android Control Test Set for InfiGUI-R1 Evaluation
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## Dataset Description
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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**.
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The InfiGUI-R1 model is detailed in our paper:
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* [InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners](https://arxiv.org/pdf/2504.14239)
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This dataset facilitates standardized testing and reproducibility of the results presented in our research.
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## Model and Further Details
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The model evaluated using this test set can be found on Hugging Face:
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* [Reallm-Labs/InfiGUI-R1-3B](https://huggingface.co/Reallm-Labs/InfiGUI-R1-3B)
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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).
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## Data Processing
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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).
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## Citation Information
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If you find this dataset or our work useful in your research, we would be grateful if you consider citing the following papers:
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```bibtex
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@article{liu2025infigui,
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title={InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners},
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author={Liu, Yuhang and Li, Pengxiang and Xie, Congkai and Hu, Xavier and Han, Xiaotian and Zhang, Shengyu and Yang, Hongxia and Wu, Fei},
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journal={arXiv preprint arXiv:2504.14239},
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year={2025}
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}
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@article{liu2025infiguiagent,
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title={InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection},
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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},
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journal={arXiv preprint arXiv:2501.04575},
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year={2025}
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}
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````
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We also strongly recommend citing the original data source:
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```bibtex
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@article{li2024effects,
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title={On the Effects of Data Scale on Computer Control Agents},
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author={Li, Wei and Bishop, William and Li, Alice and Rawles, Chris and Campbell-Ajala, Folawiyo and Tyamagundlu, Divya and Riva, Oriana},
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journal={arXiv preprint arXiv:2406.03679},
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year={2024}
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}
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```
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## License
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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.
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```
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Copyright 2024 The Google Research Authors.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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[http://www.apache.org/licenses/LICENSE-2.0](http://www.apache.org/licenses/LICENSE-2.0)
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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```
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## Acknowledgements
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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.
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```
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