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henribonamy
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AUV_Bench

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ui
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aesthetics
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multimodal
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End of preview. Expand in Data Studio

AUV-BENCH — Task 1: Aesthetic Scoring

A copy of task 1 of AUV-BENCH, a benchmark for evaluating multimodal models on UI aesthetics over executable webpages. This repo has only task 1. It is repackaged so the Hugging Face dataset viewer and load_dataset work directly. The upstream repo ships everything as one .tar.gz, which the viewer can't read. The data itself is unchanged: the screenshots here are byte-identical to those in auv_bench_data_v1.tar.gz.

Task: given a full-page webpage screenshot, predict professional designers' mean opinion scores (MOS) on 8 aesthetic dimensions.

  • 1,395 screenshots, all with human ratings
  • Scores range from 1 to 5, averaged over raters, which gives values like 2.3 or 3.7

Usage 

from datasets import load_dataset

ds = load_dataset("henribonamy/AUV_Bench", split="test")
row = ds[0]
row["screenshot"]          # PIL.Image, original resolution (e.g. 3840x4320)
row["layout"], row["color"]  # human MOS
row["average"]             # mean of the 8 MOS dimensions

Columns

Column Type Description
screenshot image Rendered full-page screenshot (original PNG, full resolution)
sample_id string Sample id (e.g. 0019), same ids as AUV-BENCH task 4
average float Mean of the 8 MOS dimensions below (exact, not rounded); not in the upstream release
color float MOS — color
typography float MOS — typography
graphics float MOS — graphics / imagery
layout float MOS — layout
component_consistency float MOS — component consistency
visual_style_consistency float MOS — visual style consistency
copy_quality float MOS — copy (text) quality
image_text_fit float MOS — image–text fit
has_mos bool Whether the sample has human ratings (true for all 1,395)
image_path string Path of the original file in this repo (task1/images/...)
image_width, image_height int Original screenshot size in pixels

Files 

data/test-0000{0..4}-of-00005.parquet   # viewer / load_dataset version (images embedded)
task1/                                   # original AUV-BENCH layout, drop-in for the benchmark code's data/task1/
├── manifest.jsonl                       # 1,395 rows: {"id", "image"}
├── human_gt_cleaned_mos.csv             # professional-designer MOS, keyed by output_folder (<id>_output)
└── images/<id>_output/<id>_rendered.png

To use with the official AUV-BENCH code, download the raw layout only:

hf download henribonamy/AUV_Bench --repo-type dataset --include "task1/*" --local-dir data/

Source & license

Copied from dokiik/AUV_Bench (auv_bench_data_v1.tar.gz, release v1). Tasks 2–4 (diagnosis, repair, text-to-UI generation) are only available there. The license is other, as declared upstream. Refer to the original dataset and its authors for terms of use and citation.
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Number of rows:
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Total file size:
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