| --- |
| language: |
| - zh |
| - en |
| license: cc-by-nc-4.0 |
| size_categories: |
| - 1K<n<10K |
| task_categories: |
| - visual-question-answering |
| - image-text-to-text |
| tags: |
| - gui-agent |
| - benchmark |
| - multimodal |
| pretty_name: UniGUI-Bench |
| configs: |
| - config_name: element_grounding |
| data_files: |
| - split: test |
| path: data/process_eval/element_grounding.json |
| field: examples |
| - config_name: action_understanding |
| data_files: |
| - split: test |
| path: data/process_eval/action_understanding.json |
| field: examples |
| - config_name: page_understanding |
| data_files: |
| - split: test |
| path: data/process_eval/page_understanding.json |
| field: examples |
| - config_name: action_anticipation |
| data_files: |
| - split: test |
| path: data/process_eval/action_anticipation.json |
| field: examples |
| - config_name: intent_reasoning |
| data_files: |
| - split: test |
| path: data/process_eval/intent_reasoning.json |
| field: examples |
| - config_name: action_execution |
| data_files: |
| - split: test |
| path: data/process_eval/action_execution.json |
| field: examples |
| - config_name: dynamic_adaptation |
| data_files: |
| - split: test |
| path: data/process_eval/dynamic_adaptation.json |
| field: examples |
| - config_name: task_planning |
| data_files: |
| - split: test |
| path: data/process_eval/task_planning.json |
| field: examples |
| - config_name: task_progress_awareness |
| data_files: |
| - split: test |
| path: data/process_eval/task_progress_awareness.json |
| field: examples |
| - config_name: task_completion_detection |
| data_files: |
| - split: test |
| path: data/process_eval/task_completion_detection.json |
| field: examples |
| - config_name: intern_state_memory |
| data_files: |
| - split: test |
| path: data/process_eval/intern_state_memory.json |
| field: examples |
| --- |
| |
| # UniGUI-Bench |
|
|
| A comprehensive benchmark for evaluating GUI agents across 11 capability dimensions. |
|
|
| ## Dataset Structure |
|
|
| ### System Evaluation |
| - **trajectory**: 1,200 complete GUI task trajectories with step-by-step screenshots |
| - **gui_system**: 7,108 individual step evaluation samples |
| |
| ### Process Evaluation (11 Abilities, 200 samples each) |
| |
| | Ability | Description | |
| |---------|-------------| |
| | element_grounding | Locating UI elements given instructions | |
| | action_understanding | Understanding what action was performed | |
| | page_understanding | Comprehending page content and layout | |
| | action_anticipation | Predicting the next action | |
| | intent_reasoning | Inferring user intent from actions | |
| | action_execution | Executing the correct action | |
| | dynamic_adaptation | Adapting to changing interfaces | |
| | task_planning | Planning multi-step tasks | |
| | task_progress_awareness | Tracking task completion progress | |
| | task_completion_detection | Detecting when a task is done | |
| | intern_state_memory | Remembering internal states | |
| |
| ## File Structure |
| |
| ``` |
| ├── data/ |
| │ ├── system_eval/ |
| │ │ ├── trajectory.json |
| │ │ └── gui_system.json |
| │ └── process_eval/ |
| │ ├── element_grounding.json |
| │ ├── action_understanding.json |
| │ └── ... (11 ability files) |
| ├── screenshots/ |
| │ ├── tasks/{task_id}/step_XX.png |
| │ └── abilities/{ability_name}/ |
| └── manifest.json |
| ``` |
| |
| ## Usage |
| |
| ```python |
| from datasets import load_dataset |
| |
| # Load a specific ability |
| ds = load_dataset("AGI-Eval/UniGUI-Bench", "element_grounding") |
| |
| # Access samples |
| for sample in ds["test"]: |
| print(sample["input"]) |
| print(sample["target"]) |
| print(sample["extra_data"]) |
| ``` |
| |
