KevinDavidHayes/t2i-finegrain
t2i-finegrain Dataset This dataset evaluates text-to-image (T2I) diffusion models using a benchmark of prompts designed to elicit specific failure modes. Human labels allow for T2I benchmarking evaluations. Contents 10,587 total image–metadata entries 750+ prompts 11 failure mode categories 27 specific failure modes 14 total models evaluated: 5 models (with human ground truths): SD3-XL SD3-M SD3.5-Large SD3.5-Medium Flux 9 models: Flux-Kontext – 760… See the full description on the dataset page: https://huggingface.co/datasets/KevinDavidHayes/t2i-finegrain.
| Author / organization | KevinDavidHayes |
|---|---|
| License (as declared) | mit |
| Downloads | 878 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 14 May 2025 |
| Last updated at source | 17 December 2025 |
Popularity, last 3 days
878 now (+72 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: t2i-finegrain Dataset This dataset evaluates text-to-image (T2I) diffusion models using a benchmark of prompts designed to elicit specific failure modes. Human labels allow for T2I benchmarking evaluations. Contents 10,587 total image–metad → t2i-finegrain Dataset This dataset evaluates text-to-image (T2I) diffusion models using a benchmark of prompts designed to elicit specific failure modes. Human labels allow for T2I benchmarking evaluations. Contents 10,587 total image–metad
Changes detected by Silytics between refreshes of the source.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.