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.
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Saffari et al. (2024) studied this question.
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