Sign inGet started
Dataset · Hugging Face

purvanshi/TASTE

TASTE: Human Preferences for Design-Quality Image Comparison This dataset is the human-evaluation corpus released alongside the TASTE preference model. It contains panel rankings of generated images across multiple quality dimensions — both aesthetic (does the image look good?) and description-faithfulness (does the image match what the prompt describes?) — plus a per-image hallucination judgement. Quick stats Table Rows Notes prompts.parquet ~200 one… See the full description on the dataset page: https://huggingface.co/datasets/purvanshi/TASTE.

Author / organizationpurvanshi
License (as declared)mit
Downloads536 (as reported by Hugging Face)
Likes9
Created28 May 2026
Last updated at source29 May 2026
preference-learningvision-languagedesignaestheticsreward-model
Embed this entry
<iframe src="https://silytics.si/embed/item/6718f1c2-c9eb-4229-af16-51ba704e6242" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

536 now (+50 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

More from purvanshi

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.