The increasing ubiquity of text-to-image (T2I) models as tools for visual content generation raises concerns about their ability to accurately represent diverse cultural contexts. In this work, we present the first study to systematically quantify the alignment of T2I models and evaluation metrics with respect to both explicit (stated) and implicit (unstated, implied) cultural… See the full description on the dataset page:
https://huggingface.co/datasets/mair-lab/CulturalFrames.
