---
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])