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Mobile-RobustBench
A benchmark for evaluating the robustness of mobile GUI agents under visual perturbations.
Dataset Statistics
| Metric | Value |
|---------------------|-------|
| Total Apps | 9 |
| Total Tasks | 143 |
| Total Traces | 712 |
| Avg Steps per Trace | 5.48 |
| Perturbation Types | 10 |
Dataset Structure
Mobile-RobustBench/
├── data/
│ ├── douyin/
│ │ ├── checkpoint_douyin.json # GT annotations
│ │ ├── douyin_tc1_b_1.png # screenshots (clean)
│ │ ├── douyin_tc1_b_1.xml # UI hierarchy
│ │ ├── douyin_tc1_VE_1.png # screenshots (perturbed)
│ │ └── ...
│ ├── taobao/
│ │ └── ...
│ └── ...
├── evaluation/
│ └── metrics.py # Evaluation metrics implementation
├── README.md
├── croissant.json # Dataset metadata
└── ...
Data Format
Each app folder contains a checkpoint_<app_name>.json with the following structure:
{
"app": "douyin", # ← App name
"testcases": [ # ← List of tasks
{
"testcase_id": 1, # ← Task ID (unique within app)
"testcase_desc": "...", # ← Natural language task description
"clean": { # ← Clean (unperturbed) trace
"trace": [
{
"checkpoint_id": 1, # ← Step index
"screenshot_path": "./douyin_tc1_b_1.png", # ← Relative path to screenshot
"xml_path": "./douyin_tc1_b_1.xml", # ← Relative path to XML
------------------------------------------------------------ Ground truth annotations ------------
"action": "click", # ← action
"bbox": [340, 64, 432, 152], # ← Target bounding box [x1,y1,x2,y2]
"input_value": "..." # ← (Optional) For input/scroll actions
--------------------------------------------------------------------------------------------------
}
]
},
"noise": [ # ← List of perturbed traces
{
"type": "VE", # ← Perturbation type
"trace": [...] # ← Same structure as clean trace
}
]
}
]
}
Data Fields
| Field | Type | Description |
|-----------------|--------|----------------------------------------------------------------------------------------|
| action | string | One of: click, scroll, input, wait, finish |
| bbox | int[4] | [x1, y1, x2, y2] bounding box of target element |
| input_value | string | Text for input, direction (up/down/left/right) for scroll. Absent for click/wait/finish|
| screenshot_path | string | Relative path from the app folder |
| xml_path | string | Relative path from the app folder |
Perturbation Types
| Type | Full Name |GUI Level| Affected Stage | Example |
|------|---------------------------|---------|----------------|-------------------------------------------------------|
| EA | Element Absence | Element | Perception | Missing UI element due to asynchronous loading |
| EA-T | Transient Element Absence | Element | Perception | Element appears after a delay |
| EO | Element Obscured | Element | Perception | Element occluded by advertisement pop-up |
| ED | Element Displaced | Element | Grounding | Element shifted due to dynamic layout update |
| AC | Appearance Change | Element | Perception | Icon or button appearance change |
| VA | Visual Ambiguity | Element | Grounding | Visually similar icons or buttons |
| VE | Viewport Exclusion | Layout | Perception | Target element outside the viewport |
| LS | Layout Shift | Layout | Grounding | Layout shift caused by dynamic content insertion |
| FO | Full-screen Overlay | Screen | Perception | Full-screen overlay such as ads or permission dialogs |
| TC | Theme Change | Screen | Perception | Global appearance change such as dark mode |
Usage Example
import json
from pathlib import Path
data_dir = Path("data/douyin")
with open(data_dir / "checkpoint_douyin.json") as f:
gt = json.load(f)
for tc in gt["testcases"]:
print(f"Task {tc['testcase_id']}: {tc['testcase_desc']}")
# Clean trace
print(" Clean trace:")
for step in tc["clean"]["trace"]:
img_path = data_dir / step["screenshot_path"].lstrip("./")
xml_path = data_dir / step["xml_path"].lstrip("./")
print(
f" Step {step['checkpoint_id']}: {step['action']} "
+ (f"bbox={step['bbox']}" if step.get('bbox') else "")
+ (f" input_value={step['input_value']}" if step.get('input_value') else "")
)
# Noise traces
for noise in tc["noise"]:
print(f" Perturbation: {noise['type']}")
for step in noise["trace"]:
img_path = data_dir / step["screenshot_path"].lstrip("./")
xml_path = data_dir / step["xml_path"].lstrip("./")
print(
f" Step {step['checkpoint_id']}: {step['action']} "
+ (f"bbox={step['bbox']}" if step.get('bbox') else "")
+ (f" input_value={step['input_value']}" if step.get('input_value') else "")
)
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