metadata
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:
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/