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README.md
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configs:
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data_files:
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- config_name: manual_train
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data_files:
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- split: data
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path: "manual_train/data/**/*"
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- split: qa
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path: "manual_train/qa/*.json"
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---
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configs:
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- config_name: default
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data_files:
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- split: auto
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path: auto/QA/*.json
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- split: manual_train
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path: manual_train/QA/*.json
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- split: manual_test
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path: manual_test/QA/*.json
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license: cc-by-4.0
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---
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# GUI-Xplore Dataset 🖥️🔍
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GUI-Xplore is a novel dataset designed to improve **cross-application** and **cross-task generalization** for GUI agents. It introduces **exploration videos** to provide context-aware learning, enabling agents to adapt to new applications efficiently.
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## 📌 Dataset Summary
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- **312 apps** across **33 categories** from **6 major domains** (*Entertainment, Productivity, Health, Shopping, Travel, News*).
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- **115+ hours of exploration videos**, ensuring **comprehensive app interaction coverage**.
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- **32,569 structured question-answer pairs** spanning **five hierarchical downstream tasks**.
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- Designed to support **Large Vision-Language Models (LVLMs)** and **GUI-based AI agents**.
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---
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## 📂 Dataset Structure
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### 🔢 Data Splits
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| Split | # Apps | # Screenshot | # Action | # Q&A Samples |
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|--------------|--------|--------------|----------| --------------|
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| Auto | 207 | 13,660 | 21,346 | 15,934 |
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| Manual_train | 85 | 18,523 | 17,963 | 16,744 |
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| Manual_test | 20 | 2,184 | 1,984 | 2,638 |
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| Total | 312 | 34,367 | 41,293 | 35,316 |
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### 🏷️ Annotation Schema
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Each app in the dataset includes:
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1. **Exploration Video** (`.mp4`)
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2. **Screenshot Sequence** (`.png`)
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3. **Action Sequence** (`.json`)
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4. **Screenshot-Action Relation** (`.json`)
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5. **View Hierarchy** (`.xml`)
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6. **Question-Answer Pairs** (`.json`)
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---
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## 🏗️ Tasks
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GUI-Xplore defines **five downstream tasks** to evaluate GUI agents:
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| Task | Description |
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|---------------------------|-------------|
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| **Application Overview** | Summarize app functionalities based on exploration. |
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| **Page Analysis** | Interpret the purpose of a specific GUI screen. |
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| **Application Usage** | Infer correct navigation sequences from homepage to task completion. |
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| **Action Recall** | Identify past interactions within an app. |
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| **Action Sequence Verification** | Verify logical operation order within an app. |
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---
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## 📥 How to Use
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```python
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from datasets import load_dataset
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dataset = load_dataset("9211sun/GUI-Xplore")
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# Example data exploration
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print(dataset["manual_test"][0])
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