Update README.md

README.md

@@ -1,3 +1,104 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+size_categories:
+- 1K<n<10K
+---
+# LearnGUI: A Unified Demonstration Benchmark for Mobile GUI Agents
+
+<div align="center">
+  <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%">
+</div>
+
+[📄 Paper](https://arxiv.org/abs/2504.13805) | [💻 Code](https://github.com/lgy0404/LearnAct-codebase) | [🌐 Project Page](https://lgy0404.github.io/LearnAct/)
+
+## Overview
+
+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.
+
+## 🌟 Key Features
+
+- **Unified Benchmark Framework**: Provides standardized metrics and evaluation protocols for demonstration-based learning in mobile GUI agents
+- **Dual Evaluation Modes**: Supports both offline (2,252 tasks) and online (101 tasks) evaluation scenarios to assess agent performance
+- **Rich Few-shot Learning Support**: Includes k-shot combinations (k=1,2,3) for each task with varying similarity profiles
+- **Multi-dimensional Similarity Metrics**: Quantifies demonstration relevance across instruction, UI, and action dimensions
+- **Diverse Real-world Coverage**: Spans 73 mobile applications with 2,353 naturally varied tasks reflecting real-world usage patterns
+- **Expert-annotated Trajectories**: Contains high-quality human demonstrations with detailed step-by-step action sequences and element annotations
+
+## 📊 Dataset Structure and Statistics
+
+The dataset is organized into three main splits:
+
+### Dataset Statistics
+
+| 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> |
+|-------|--------|-------|------|-------------|------------------------|----------------------|----------------------|--------------------------------|--------------------------------|--------------------------------|--------------------------------|
+| Offline-Train | 1-shot | 2,001 | 44 | 26,184 | 0.845 | 0.901 | 0.858 | 364 | 400 | 403 | 834 |
+| Offline-Train | 2-shot | 2,001 | 44 | 26,184 | 0.818 | 0.898 | 0.845 | 216 | 360 | 358 | 1,067 |
+| Offline-Train | 3-shot | 2,001 | 44 | 26,184 | 0.798 | 0.895 | 0.836 | 152 | 346 | 310 | 1,193 |
+| Offline-Test | 1-shot | 251 | 9 | 3,469 | 0.798 | 0.868 | 0.867 | 37 | 49 | 56 | 109 |
+| Offline-Test | 2-shot | 251 | 9 | 3,469 | 0.767 | 0.855 | 0.853 | 15 | 42 | 55 | 139 |
+| Offline-Test | 3-shot | 251 | 9 | 3,469 | 0.745 | 0.847 | 0.847 | 10 | 36 | 49 | 156 |
+| Online-Test | 1-shot | 101 | 20 | 1,423 | - | - | - | - | - | - | - |
+
+Each task in LearnGUI contains:
+- High-level instruction
+- Low-level action sequences
+- Screenshot of each step
+- UI element details
+- Ground truth action labels
+- Demonstration pairings with varying similarity profiles
+
+## 📁 Directory Structure
+
+```
+LearnGUI/
+├── offline/                            # Offline evaluation dataset
+│   ├── screenshot.zip                  # Screenshot archives (multi-part)
+│   ├── screenshot.z01-z05              # Screenshot archive parts
+│   ├── element_anno.zip                # Element annotations
+│   ├── instruction_anno.zip            # Instruction annotations
+│   ├── task_spilit.json                # Task splitting information
+│   └── low_level_instructions.json     # Detailed step-by-step instructions
+│
+├── online/                             # Online evaluation dataset
+│   ├── low_level_instructions/         # JSON files with step instructions for each task
+│   │   ├── AudioRecorderRecordAudio.json
+│   │   ├── BrowserDraw.json
+│   │   ├── SimpleCalendarAddOneEvent.json
+│   │   └── ... (98 more task instruction files)
+│   └── raw_data/                       # Raw data for each online task
+│       ├── AudioRecorderRecordAudio/
+│       ├── BrowserDraw/
+│       ├── SimpleCalendarAddOneEvent/
+│       └── ... (98 more task data directories)
+│
+└── static/                             # Website assets and images
+    └── images/                         # Dataset visualization images
+```
+
+## 🔍 Comparison with Existing Datasets
+
+LearnGUI offers several advantages over existing GUI datasets:
+
+| Dataset | # Inst. | # Apps | # Step | Env. | HL | LL | GT | FS |
+|---------|---------|--------|--------|------|----|----|----|----|
+| PixelHelp | 187 | 4 | 4.2 | ❌ | ✅ | ❌ | ✅ | ❌ |
+| MoTIF | 276 | 125 | 4.5 | ❌ | ✅ | ✅ | ✅ | ❌ |
+| UIBert | 16,660 | - | 1 | ❌ | ❌ | ✅ | ✅ | ❌ |
+| UGIF | 523 | 12 | 6.3 | ❌ | ✅ | ✅ | ✅ | ❌ |
+| AITW | 30,378 | 357 | 6.5 | ❌ | ✅ | ❌ | ✅ | ❌ |
+| AITZ | 2,504 | 70 | 7.5 | ❌ | ✅ | ✅ | ✅ | ❌ |
+| AndroidControl | 15,283 | 833 | 4.8 | ❌ | ✅ | ✅ | ✅ | ❌ |
+| AMEX | 2,946 | 110 | 12.8 | ❌ | ✅ | ❌ | ✅ | ❌ |
+| MobileAgentBench | 100 | 10 | - | ❌ | ✅ | ❌ | ❌ | ❌ |
+| AppAgent | 50 | 10 | - | ❌ | ✅ | ❌ | ❌ | ❌ |
+| LlamaTouch | 496 | 57 | 7.01 | ✅ | ✅ | ❌ | ✅ | ❌ |
+| AndroidWorld | 116 | 20 | - | ✅ | ✅ | ❌ | ❌ | ❌ |
+| AndroidLab | 138 | 9 | 8.5 | ✅ | ✅ | ❌ | ❌ | ❌ |
+| **LearnGUI (Ours)** | **2,353** | **73** | **13.2** | ✅ | ✅ | ✅ | ✅ | ✅ |
+
+*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).*
+
+## 📄 License
+
+This dataset is licensed under Apache License 2.0.