  Datasets capturing cultural norms are essential for developing globally aware
AI systems. We present Persian Social Norms (PSN) a novel dataset of over 1.7k
Persian social norms, including environments, contexts, and cultural labels,
alongside English translations. Leveraging large language models and
prompt-engineering techniques, we generated potential norms that were reviewed
by native speakers for quality and ethical compliance. As the first Persian
dataset of its kind, this resource enables computational modeling of norm
adaptation, a crucial challenge for cross-cultural AI informed by diverse
cultural perspectives.
