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 / organization | purvanshi |
|---|---|
| License (as declared) | mit |
| Downloads | 536 (as reported by Hugging Face) |
| Likes | 9 |
| Created | 28 May 2026 |
| Last updated at source | 29 May 2026 |
Popularity, last 2 days
536 now (+50 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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