| --- |
| pretty_name: AUV-BENCH Data |
| task_categories: |
| - other |
| tags: |
| - ui |
| - web-ui |
| - aesthetics |
| - benchmark |
| - multimodal |
| - vision-language |
| size_categories: |
| - 1K<n<10K |
| license: other |
| --- |
| |
| # AUV-BENCH Data |
|
|
| **AUV-BENCH** is a public benchmark dataset for evaluating multimodal models on |
| four UI-aesthetics capabilities over executable webpages: **scoring**, |
| **diagnosis**, **repair**, and **text-to-UI generation**. |
|
|
| ## Tasks |
|
|
| | Directory | Task | Contents | Scale | |
| |---|---|---|---| |
| | `task1/` | Aesthetic Scoring | Webpage screenshots + human 8-dimension aesthetic MOS ratings (`human_gt_cleaned_mos.csv`) | 1,395 samples | |
| | `task2/` | Aesthetic Diagnosis | Paired clean/degraded screenshots + injected-defect ground truth | 695 pairs (660 formal) | |
| | `task3/` | Aesthetic Repair | Degraded webpage HTML + defect specs + 25 pinned render fonts | 660 samples | |
| | `task4/` | Text-to-UI Generation | Generation queries + Top-K visual assets (image + caption) | 1,395 queries | |
|
|
| ## Directory structure |
|
|
| All data ships as a single archive, `auv_bench_data_v1.tar.gz`, which extracts |
| to the following layout: |
|
|
| ```text |
| auv_bench_data_v1/ |
| ├── MANIFEST.txt # per-task file/sample counts |
| ├── task1/ manifest.jsonl images/ human_gt_cleaned_mos.csv |
| ├── task2/ manifest.jsonl images/ |
| ├── task3/ cohort.json defect_specs.jsonl pages/ render_fonts/fonts/ |
| └── task4/ queries.jsonl cohort.json freeze.json inputs/ |
| ``` |
