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README.md
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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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task_categories:
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- robotics
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---
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# LearnGUI: A Unified Demonstration Benchmark for Mobile GUI Agents
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├── SimpleCalendarAddOneEvent/
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└── ... (98 more task data directories)
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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
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| PixelHelp
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| MoTIF
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| UIBert
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| UGIF
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| AITW
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| AITZ
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| AndroidControl
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| AMEX
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| MobileAgentBench
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| AppAgent
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| LlamaTouch
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| AndroidWorld
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| AndroidLab
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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: 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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├── SimpleCalendarAddOneEvent/
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└── ... (98 more task data directories)
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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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