zyxhhnkh/DetailVerifyBench
DetailVerifyBench Project Page | Paper | GitHub DetailVerifyBench is a rigorous benchmark designed for dense hallucination localization in long image captions. It comprises 1,000 high-quality images across five distinct domains: Chart, Movie, Nature, Poster, and UI. With an average caption length of over 200 words and dense, token-level annotations of multiple hallucination types, it stands as a challenging benchmark for evaluating the precise hallucination localization… See the full description on the dataset page: https://huggingface.co/datasets/zyxhhnkh/DetailVerifyBench.
| Author / organization | zyxhhnkh |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 183 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 28 March 2026 |
| Last updated at source | 9 April 2026 |
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- 17 Oct 2026 Description: DetailVerifyBench Project Page | Paper | GitHub DetailVerifyBench is a rigorous benchmark designed for dense hallucination localization in long image captions. It comprises 1,000 high-quality images across five distinct domains: Chart, Movi → DetailVerifyBench Project Page | Paper | GitHub DetailVerifyBench is a rigorous benchmark designed for dense hallucination localization in long image captions. It comprises 1,000 high-quality images across five distinct domains: Chart, Movi
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