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--- |
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license: cc-by-sa-4.0 |
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language: |
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- zh |
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- en |
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tags: |
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- gui |
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- agents |
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pretty_name: FunUI |
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size_categories: |
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- 1K<n<10K |
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--- |
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# FunUI Benchmark |
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## 📖 Introduction |
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**FunUI** is a bilingual benchmark designed to fill the gap of comprehensive evaluation datasets in the field of **screen understanding**. |
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It encompasses **four fundamental tasks** and provides a holistic evaluation platform to assess models’ abilities on mobile UI comprehension. |
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--- |
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## ✨ Key Features |
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- **Bilingual** |
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- Includes **2,150 Chinese screens** and **9,347 English screens** from Android devices. |
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- Annotated with about **14k Chinese samples** and **18k English samples**. |
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- The **first benchmark** that enables systematic evaluation of **both Chinese and English screen understanding**. |
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- **Comprehensive** |
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- Covers multiple dimensions of screen understanding: |
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- **UI Grounding** (element localization) |
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- **UI Referring** (element identification) |
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- **Screen Question Answering** |
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- **Screen Summarization** |
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- Ranges from spatial grounding and entity recognition to integrated analysis of screen content. |
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- **Diverse** |
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- Provides QA pairs involving **120+ icons and widgets**. |
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- Includes **complex reasoning questions** related to element relations, attributes, arithmetic, and more. |
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- Poses greater challenges compared to commonly used OCR-related tasks. |
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--- |
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## 📊 Tasks |
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1. **UI Grounding** |
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- Models are required to localize the target UI element. |
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2. **UI Referring** |
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- Models identify the specific UI element described in bbox format. |
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3. **Screen Question Answering** |
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- Models answer diverse questions about screen content. |
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4. **Screen Summarization** |
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- Models generate summaries of the observed screen. |
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--- |
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## 🚀 Applications |
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- Automated **UI comprehension** and interaction. |
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- Development of **intelligent assistants** and mobile automation. |
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- **Benchmarking multimodal models** for screen understanding. |
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--- |
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## 📜 Citation |
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If you use **FunUI** benchmark in your research, please cite our paper: |
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```bibtex |
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@article{202408.2137, |
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title = {UI-Hawk: Unleashing the Screen Stream Understanding for GUI Agents}, |
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author = {Jiwen Zhang and Yaqi Yu and Minghui Liao and Wentao Li and Jihao Wu and Zhongyu Wei}, |
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doi = {10.20944/preprints202408.2137.v1}, |
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url = {https://doi.org/10.20944/preprints202408.2137.v1}, |
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year = 2024, |
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month = {August}, |
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publisher = {Preprints}, |
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journal = {Preprints} |
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} |
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``` |
