From National Curricula to Cultural Awareness: Constructing Open-Ended Culture-Specific Question Answering Dataset

• URL: http://arxiv.org/abs/2601.04632v1
• Date: Thu, 08 Jan 2026 06:04:59 GMT
• Title: From National Curricula to Cultural Awareness: Constructing Open-Ended Culture-Specific Question Answering Dataset
• Authors: Haneul Yoo, Won Ik Cho, Geunhye Kim, Jiyoon Han,
• Abstract summary: We propose a scalable approach that leverages national social studies curricula as a foundation for culture-aware supervision.<n>Applying CuCu to the Korean national social studies curriculum, we construct KCaQA, comprising 34.1k open-ended QA pairs.<n>Our quantitative and qualitative analyses suggest that KCaQA covers culture-specific topics and produces responses grounded in local sociocultural contexts.
• Score: 9.332032554087474
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: Large language models (LLMs) achieve strong performance on many tasks, but their progress remains uneven across languages and cultures, often reflecting values latent in English-centric training data. To enable practical cultural alignment, we propose a scalable approach that leverages national social studies curricula as a foundation for culture-aware supervision. We introduce CuCu, an automated multi-agent LLM framework that transforms national textbook curricula into open-ended, culture-specific question-answer pairs. Applying CuCu to the Korean national social studies curriculum, we construct KCaQA, comprising 34.1k open-ended QA pairs. Our quantitative and qualitative analyses suggest that KCaQA covers culture-specific topics and produces responses grounded in local sociocultural contexts.

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