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cyberagent/BannerBench

BannerBench: Benchmarking Vision Language Models for Multi-Ad Selection with Human Preferences Dataset Summary The BannerBench is designed to evaluate the ability of VLMs to identify the banner that best matches human preferences from a set of candidates. Dataset Structure The structure of the raw dataset is as follows: { "train": Dataset({ "features": [ 'LPimage', 'image1', 'image2', 'image3', 'image4', 'image5'… See the full description on the dataset page: https://huggingface.co/datasets/cyberagent/BannerBench.

Author / organizationcyberagent
License (as declared)cc-by-nc-sa-4.0
Downloads201 (as reported by Hugging Face)
Likes1
Created26 August 2025
Last updated at source17 September 2025
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