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--- |
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license: apache-2.0 |
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size_categories: |
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- 1K<n<10K |
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--- |
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# LearnGUI: A Unified Demonstration Benchmark for Mobile GUI Agents |
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<div align="center"> |
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<img src="assets/teaser-final.drawio.png" alt="The LearnAct Framework and LearnGUI Benchmark focus on addressing the long-tail challenges in mobile GUI agent performance through demonstration-based learning." width="100%"> |
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</div> |
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[📄 Paper](https://arxiv.org/abs/2504.13805) | [💻 Code](https://github.com/lgy0404/LearnAct-codebase) | [🌐 Project Page](https://lgy0404.github.io/LearnAct/) |
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## Overview |
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LearnGUI is the first comprehensive dataset specifically designed for studying demonstration-based learning in mobile GUI agents. It comprises 2,353 instructions across 73 applications with an average of 13.2 steps per task, featuring high-quality human demonstrations for both offline and online evaluation scenarios. |
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## 🌟 Key Features |
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- **Unified Benchmark Framework**: Provides standardized metrics and evaluation protocols for demonstration-based learning in mobile GUI agents |
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- **Dual Evaluation Modes**: Supports both offline (2,252 tasks) and online (101 tasks) evaluation scenarios to assess agent performance |
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- **Rich Few-shot Learning Support**: Includes k-shot combinations (k=1,2,3) for each task with varying similarity profiles |
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- **Multi-dimensional Similarity Metrics**: Quantifies demonstration relevance across instruction, UI, and action dimensions |
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- **Diverse Real-world Coverage**: Spans 73 mobile applications with 2,353 naturally varied tasks reflecting real-world usage patterns |
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- **Expert-annotated Trajectories**: Contains high-quality human demonstrations with detailed step-by-step action sequences and element annotations |
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## 📊 Dataset Structure and Statistics |
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The dataset is organized into three main splits: |
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### Dataset Statistics |
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| Split | K-shot | Tasks | Apps | Step actions | Avg Ins<sub>Sim</sub> | Avg UI<sub>Sim</sub> | Avg Act<sub>Sim</sub> | UI<sub>SH</sub>Act<sub>SH</sub> | UI<sub>SH</sub>Act<sub>SL</sub> | UI<sub>SL</sub>Act<sub>SH</sub> | UI<sub>SL</sub>Act<sub>SL</sub> | |
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|-------|--------|-------|------|-------------|------------------------|----------------------|----------------------|--------------------------------|--------------------------------|--------------------------------|--------------------------------| |
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| Offline-Train | 1-shot | 2,001 | 44 | 26,184 | 0.845 | 0.901 | 0.858 | 364 | 400 | 403 | 834 | |
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| Offline-Train | 2-shot | 2,001 | 44 | 26,184 | 0.818 | 0.898 | 0.845 | 216 | 360 | 358 | 1,067 | |
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| Offline-Train | 3-shot | 2,001 | 44 | 26,184 | 0.798 | 0.895 | 0.836 | 152 | 346 | 310 | 1,193 | |
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| Offline-Test | 1-shot | 251 | 9 | 3,469 | 0.798 | 0.868 | 0.867 | 37 | 49 | 56 | 109 | |
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| Offline-Test | 2-shot | 251 | 9 | 3,469 | 0.767 | 0.855 | 0.853 | 15 | 42 | 55 | 139 | |
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| Offline-Test | 3-shot | 251 | 9 | 3,469 | 0.745 | 0.847 | 0.847 | 10 | 36 | 49 | 156 | |
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| Online-Test | 1-shot | 101 | 20 | 1,423 | - | - | - | - | - | - | - | |
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Each task in LearnGUI contains: |
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- High-level instruction |
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- Low-level action sequences |
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- Screenshot of each step |
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- UI element details |
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- Ground truth action labels |
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- Demonstration pairings with varying similarity profiles |
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## 📁 Directory Structure |
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``` |
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LearnGUI/ |
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├── offline/ # Offline evaluation dataset |
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│ ├── screenshot.zip # Screenshot archives (multi-part) |
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│ ├── screenshot.z01-z05 # Screenshot archive parts |
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│ ├── element_anno.zip # Element annotations |
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│ ├── instruction_anno.zip # Instruction annotations |
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│ ├── task_spilit.json # Task splitting information |
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│ └── low_level_instructions.json # Detailed step-by-step instructions |
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│ |
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├── online/ # Online evaluation dataset |
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│ ├── low_level_instructions/ # JSON files with step instructions for each task |
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│ │ ├── AudioRecorderRecordAudio.json |
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│ │ ├── BrowserDraw.json |
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│ │ ├── SimpleCalendarAddOneEvent.json |
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│ │ └── ... (98 more task instruction files) |
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│ └── raw_data/ # Raw data for each online task |
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│ ├── AudioRecorderRecordAudio/ |
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│ ├── BrowserDraw/ |
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│ ├── SimpleCalendarAddOneEvent/ |
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│ └── ... (98 more task data directories) |
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│ |
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└── static/ # Website assets and images |
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└── images/ # Dataset visualization images |
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``` |
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## 🔍 Comparison with Existing Datasets |
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LearnGUI offers several advantages over existing GUI datasets: |
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| Dataset | # Inst. | # Apps | # Step | Env. | HL | LL | GT | FS | |
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|---------|---------|--------|--------|------|----|----|----|----| |
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| PixelHelp | 187 | 4 | 4.2 | ❌ | ✅ | ❌ | ✅ | ❌ | |
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| MoTIF | 276 | 125 | 4.5 | ❌ | ✅ | ✅ | ✅ | ❌ | |
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| UIBert | 16,660 | - | 1 | ❌ | ❌ | ✅ | ✅ | ❌ | |
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| UGIF | 523 | 12 | 6.3 | ❌ | ✅ | ✅ | ✅ | ❌ | |
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| AITW | 30,378 | 357 | 6.5 | ❌ | ✅ | ❌ | ✅ | ❌ | |
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| AITZ | 2,504 | 70 | 7.5 | ❌ | ✅ | ✅ | ✅ | ❌ | |
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| AndroidControl | 15,283 | 833 | 4.8 | ❌ | ✅ | ✅ | ✅ | ❌ | |
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| AMEX | 2,946 | 110 | 12.8 | ❌ | ✅ | ❌ | ✅ | ❌ | |
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| MobileAgentBench | 100 | 10 | - | ❌ | ✅ | ❌ | ❌ | ❌ | |
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| AppAgent | 50 | 10 | - | ❌ | ✅ | ❌ | ❌ | ❌ | |
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| LlamaTouch | 496 | 57 | 7.01 | ✅ | ✅ | ❌ | ✅ | ❌ | |
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| AndroidWorld | 116 | 20 | - | ✅ | ✅ | ❌ | ❌ | ❌ | |
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| AndroidLab | 138 | 9 | 8.5 | ✅ | ✅ | ❌ | ❌ | ❌ | |
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| **LearnGUI (Ours)** | **2,353** | **73** | **13.2** | ✅ | ✅ | ✅ | ✅ | ✅ | |
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*Note: # Inst. (number of instructions), # Apps (number of applications), # Step (average steps per task), Env. (supports environment interactions), HL (has high-level instructions), LL (has low-level instructions), GT (provides ground truth trajectories), FS (supports few-shot learning).* |
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## 📄 License |
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This dataset is licensed under Apache License 2.0. |
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