Although numerous datasets have been developed to support dialogue systems, most existing chit-chat datasets overlook the cultural nuances inherent in natural human conversations. To address this gap, we introduce SEADialogues, a culturally grounded dialogue dataset centered on Southeast Asia, a region with over 700 million people and immense cultural diversity. Our dataset features dialogues in eight languages from six Southeast Asian countries, many of which are low-resource despite having sizable speaker populations. To enhance cultural relevance and personalization, each dialogue includes persona attributes and two culturally grounded topics that reflect everyday life in the respective communities. Furthermore, we release a multi-turn dialogue dataset to advance research on culturally aware and human-centric large language models, including conversational dialogue agents.
@article{arxiv.2508.07069,
title = {SEADialogues: A Multilingual Culturally Grounded Multi-turn Dialogue Dataset on Southeast Asian Languages},
author = {Muhammad Dehan Al Kautsar and Aswin Candra and Muhammad Alif Al Hakim and Maxalmina Satria Kahfi and Fajri Koto and Alham Fikri Aji and Peerat Limkonchotiwat and Ekapol Chuangsuwanich and Genta Indra Winata},
journal= {arXiv preprint arXiv:2508.07069},
year = {2025}
}