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Dataset · Hugging Face

naghamo/idiom-vision-fooling

Idioms in Misleading Visual Context A small, densely-annotated multimodal benchmark testing whether a misleading image can push a vision-language model toward the wrong reading of a potentially idiomatic phrase, while human annotators stay unaffected. Each example pairs a sentence containing a potentially idiomatic expression with an image. The image either matches the sentence's intended reading (aligned) or depicts the opposite reading (misleading). Annotators label how… See the full description on the dataset page: https://huggingface.co/datasets/naghamo/idiom-vision-fooling.

Author / organizationnaghamo
License (as declared)cc-by-4.0
Downloads134 (as reported by Hugging Face)
Likes0
Created5 June 2026
Last updated at source20 July 2026
idiomsfigurative-languagemultimodalvision-languagehuman-annotationinter-annotator-agreement
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