JiwenZhang
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Browse files- .gitignore +1 -0
- README.md +75 -3
- images_cn.zip +3 -0
- images_en.zip +3 -0
- tasks_cn/screen_qa_cn.json +0 -0
- tasks_cn/screen_summarization_cn.json +0 -0
- tasks_cn/ui_grounding_cn.json +0 -0
- tasks_cn/ui_referring_cn.json +0 -0
- tasks_en/screen_qa_en.json +0 -0
- tasks_en/screen_summarization_en.json +0 -0
- tasks_en/ui_grounding_en.json +0 -0
- tasks_en/ui_referring_en.json +0 -0
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README.md
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<<<<<<< HEAD
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---
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license: cc-by-sa-4.0
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---
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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 referred to in text.
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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 concise summaries of the 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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```
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images_cn.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:334696b63c6ec2169459fe34a26e2d18744026819b504755699a93a6db1d92da
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size 653702
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images_en.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:c4d78e44472f57a7cfea7f33942974849c8a15a999817f2293cca10d8b894af7
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size 10712821
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tasks_cn/screen_qa_cn.json
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tasks_cn/ui_grounding_cn.json
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tasks_en/screen_qa_en.json
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tasks_en/ui_grounding_en.json
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