YYY-001/EpiReal-Bench
EpiReal-Bench EpiReal-Bench is a benchmark for evaluating visual misinformation in image-generation models. It contains 1,000 entity-grounded false claims and 10,000 corresponding images, organized into 10 topics × 10 visual formats × 100 images. Dataset Composition Each topic contains 100 false claims. Each claim is rendered in all ten visual formats, yielding 100 images per topic–format pair and 1,000 images per topic. Topics: Government, Election, Military… See the full description on the dataset page: https://huggingface.co/datasets/YYY-001/EpiReal-Bench.
| Author / organization | YYY-001 |
|---|---|
| Downloads | 702 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 7 October 2026 |
| Last updated at source | 8 October 2026 |
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