SEADialogues: A Multilingual Culturally Grounded Multi-turn Dialogue Dataset on Southeast Asian Languages
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arXiv
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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866908483732897792 |
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| author | Kautsar, Muhammad Dehan Al Candra, Aswin Hakim, Muhammad Alif Al Kahfi, Maxalmina Satria Koto, Fajri Aji, Alham Fikri Limkonchotiwat, Peerat Chuangsuwanich, Ekapol Winata, Genta Indra |
| author_facet | Kautsar, Muhammad Dehan Al Candra, Aswin Hakim, Muhammad Alif Al Kahfi, Maxalmina Satria Koto, Fajri Aji, Alham Fikri Limkonchotiwat, Peerat Chuangsuwanich, Ekapol Winata, Genta Indra |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_07069 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | SEADialogues: A Multilingual Culturally Grounded Multi-turn Dialogue Dataset on Southeast Asian Languages Kautsar, Muhammad Dehan Al Candra, Aswin Hakim, Muhammad Alif Al Kahfi, Maxalmina Satria Koto, Fajri Aji, Alham Fikri Limkonchotiwat, Peerat Chuangsuwanich, Ekapol Winata, Genta Indra Computation and Language Artificial Intelligence 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. |
| title | SEADialogues: A Multilingual Culturally Grounded Multi-turn Dialogue Dataset on Southeast Asian Languages |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2508.07069 |