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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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+ ## Dataset Description
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+
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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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+
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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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+
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+ ## Data Content and Image Extraction
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+
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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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+
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+ To obtain the corresponding images, you will need to download them from the original, unprocessed [Android Control dataset](https://github.com/google-research/google-research/tree/master/android_control) and extract them according to your needs. This repository provides the structured textual data prepared for model training.
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+
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+ ## Usage and Further Details
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+
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+ For more details, please refer to our main GitHub repository:
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+
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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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+
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+ ## Data Processing
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+
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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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+
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+ ## Citation Information
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+
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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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+
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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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+
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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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+
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+ We also strongly recommend citing the original data source, as their work was foundational to ours:
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+
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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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+
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+ ## License
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+
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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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+ ```
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+ Copyright 2024 The Google Research Authors.
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+
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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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+
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+ http://www.apache.org/licenses/LICENSE-2.0
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+
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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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+
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+ ## Acknowledgements
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+
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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.