Dataset · Hugging Face

yefd/SnapBench

Name: SnapBench
Creator: yefd
Keywords: task_categories:visual-document-retrieval, language:en, size_categories:10K<n<100K, format:imagefolder, modality:image, modality:text, library:datasets, library:mlcroissant, arxiv:2608.29607, region:us, multimodal, image-text-retrieval, retrieval, robustness, benchmark

Source repository: https://github.com/zrchen03/SnapBench Paper: SnapBench: Benchmarking Snap-and-Ask Multimodal Retrieval for Mobile Interactions SnapBench: Benchmarking Snap-and-Ask Multimodal Retrieval for Mobile Interactions SnapBench is a benchmark for snap-and-ask mobile interactions: a user captures a photo and asks a short English question. Each query pairs an image with text; the gallery contains image–caption pairs to retrieve from. The benchmark includes a clean split… See the full description on the dataset page: https://huggingface.co/datasets/yefd/SnapBench.

View on Hugging FaceReport an issue

Author / organization	yefd
Downloads	340 (as reported by Hugging Face)
Likes	1
Created	29 August 2026
Last updated at source	1 September 2026

multimodalimage-text-retrievalretrievalrobustnessbenchmark

Embed this entry

<iframe src="https://silytics.si/embed/item/d7068b81-b100-4267-bc69-750d1291307d" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.