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Datasets:
openbmb
/
CAGUI

Tasks:
Visual Question Answering
Text Generation
Languages:
Chinese
Size:
1K<n<10K
Tags:
gui grounding
gui agent
chinese app
License:
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metadata
license: cc-by-nc-4.0
task_categories:
  - visual-question-answering
  - text-generation
language:
  - zh
tags:
  - gui grounding
  - gui agent
  - chinese app
pretty_name: CAGUI
size_categories:
  - 1K<n<10K
viewer: false

CAGUI: Chinese Android GUI Benchmark

A real-world Chinese Android GUI benchmark designed to evaluate GUI agent models on two complementary capabilities:

  • Grounding – understanding individual GUI components and linking them to semantics.
  • Agent – planning and executing multi-step actions to complete user goals on Chinese Android apps.

See AgentCPM-GUI for more details.

🌟 Key Features

Aspect Grounding Agent
Objective GUI widgets grounding / OCR text Follow natural-language instructions to operate an app
Data 2 × JSONL files (cap.jsonl, ocr.jsonl) + screenshots Per-episode JSON + step-level screenshots
Actions n/a Tap, long-tap, text-input, scroll, etc. (result_action_type, see here)

🗂️ Repository Structure 

CAGUI
├─ CAGUI_agent
│  └─ domestic/
│     └─ <episode_id>/
│        ├─ <episode_id>.json       # episode file
│        ├─ <episode_id>_0.jpeg     # step-0 screenshot
│        ├─ <episode_id>_1.jpeg
│        └─ ...
└─ CAGUI_grounding
   ├─ code/
   │  ├─ cap.jsonl                  # function to point & text to point
   │  └─ ocr.jsonl                  # bbox to text
   └─ images/
      ├─ cap/
      │   ├─ 0.jpeg
      │   └─ ...
      └─ ocr/
          ├─ 0.jpeg
          └─ ...

📑 Data Format

1. Agent episodes (CAGUI_agent/domestic/<episode_id>/<episode_id>.json)

Each file is a list of steps:

Field Type Description
episode_id str Unique id
episode_length int Total steps
step_id int Step index (0-based)
instruction str user goal
image_path str Relative path to screenshot
image_width / image_height int Raw resolution
ui_positions str (JSON list) Normalised [[y, x, h, w], …] UI element boxes
result_action_type int Action code, see here
result_action_text str Text typed (if any)
result_touch_yx / result_lift_yx str Normalised touch coords, [-1,-1] if no touch
duration float | null Action time (s)

2. Grounding annotations (cap.jsonl, ocr.jsonl)

One JSON object per line:

Field Example Description
task "bbox2function" / "bbox2text" Sub-task type
image "grounding_eval/dataset/images/0.jpeg" Screenshot path
id 0 Unique int id
abs_position "<x1, y1, x2, y2>" Pixel-level bbox
rel_position "<x1, y1, x2, y2>" Normalised bbox
text "UI元素是一个菜单按钮…" Target description / OCR string

📜 License

CAGUI is released under the CC-BY-NC 4.0 license for non-commercial research. Screenshots originate from publicly available Chinese apps and are used under fair-use for research purposes only. Remove them if local regulations require.

✏️ Citation

This benchmark is used for evaluating AgentCPM-GUI. If our model and benchmark are useful for your research, please cite:

@misc{2025,
  author       = {THUNLP},
  title        = {AgentCPM-GUI},
  year         = {2025},
  publisher    = {GitHub},
  journal      = {GitHub repository},
  howpublished = {\url{https://github.com/OpenBMB/AgentCPM-GUI}}
}