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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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- 10K<n<100K |
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--- |
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# Processed Android Control Training Set |
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## Dataset Description |
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This repository contains the processed **training set** derived from the [Android Control dataset by Google Research](https://github.com/google-research/google-research/tree/master/android_control). |
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The data processing methodology is identical to that used for our corresponding test set, which can be found at [Reallm-Labs/android\_control\_test](https://huggingface.co/datasets/Reallm-Labs/android_control_test). |
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## Data Content and Image Extraction |
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**Important Note:** Due to the large size of the dataset, this repository contains **only the processed text files**. |
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To obtain the corresponding images, you will need to download them from the original [Android Control dataset](https://github.com/google-research/google-research/tree/master/android_control) and extract them according to your needs. |
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## Usage and Further Details |
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For more details, please refer to our main GitHub repository: |
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* **InfiGUI-R1 Project:** [https://github.com/Reallm-Labs/InfiGUI-R1](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 training 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 our work. |
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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, as their work was foundational to ours: |
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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 |
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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. |