File size: 2,480 Bytes
d971134 d47cd18 d971134 d47cd18 d971134 d47cd18 d971134 d47cd18 d971134 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 |
---
configs:
- config_name: default
data_files:
- split: auto
path: auto/QA/*.json
- split: manual_train
path: manual_train/QA/*.json
- split: manual_test
path: manual_test/QA/*.json
license: cc-by-4.0
---
# GUI-Xplore Dataset 🖥️🔍
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.
## 📌 Dataset Summary
- **312 apps** across **33 categories** from **6 major domains** (*Entertainment, Productivity, Health, Shopping, Travel, News*).
- **115+ hours of exploration videos**, ensuring **comprehensive app interaction coverage**.
- **32,569 structured question-answer pairs** spanning **five hierarchical downstream tasks**.
- Designed to support **Large Vision-Language Models (LVLMs)** and **GUI-based AI agents**.
---
## 📂 Dataset Structure
### 🔢 Data Splits
| Split | # Apps | # Screenshot | # Action | # Q&A Samples |
|--------------|--------|--------------|----------| --------------|
| Auto | 207 | 13,660 | 21,346 | 15,934 |
| Manual_train | 85 | 18,523 | 17,963 | 16,744 |
| Manual_test | 20 | 2,184 | 1,984 | 2,638 |
| Total | 312 | 34,367 | 41,293 | 35,316 |
### 🏷️ Annotation Schema
Each app in the dataset includes:
1. **Exploration Video** (`.mp4`)
2. **Screenshot Sequence** (`.png`)
3. **Action Sequence** (`.json`)
4. **Screenshot-Action Relation** (`.json`)
5. **View Hierarchy** (`.xml`)
6. **Question-Answer Pairs** (`.json`)
---
## 🏗️ Tasks
GUI-Xplore defines **five downstream tasks** to evaluate GUI agents:
| Task | Description |
|---------------------------|-------------|
| **Application Overview** | Summarize app functionalities based on exploration. |
| **Page Analysis** | Interpret the purpose of a specific GUI screen. |
| **Application Usage** | Infer correct navigation sequences from homepage to task completion. |
| **Action Recall** | Identify past interactions within an app. |
| **Action Sequence Verification** | Verify logical operation order within an app. |
---
## 📥 How to Use
```python
from datasets import load_dataset
dataset = load_dataset("9211sun/GUI-Xplore")
# Example data exploration
print(dataset["manual_test"][0]) |