Generated cultural heritage question–answer dataset: Durga in multi-dimensional perspectives

This dataset presents a valuable compilation of question-answer (QA) pairs derived from cultural texts and sources related to Durga mythology. A total of 21,395 QA pairs, encompassing textual materials such as scriptures, ritual narratives, temple inscriptions, and traditional storytelling records. Each entry includes the source reference, question, and corresponding answer, provided in a structured format compatible with Excel for seamless integration into downstream natural language processing (NLP) tasks. Data collection involved manual curation and annotation by domain experts, followed by preprocessing steps including text normalization, duplication removal, and verification of factual and contextual accuracy. The dataset is designed to support generative QA models, culturally aware chatbots, and digital preservation of heritage knowledge. It is particularly valuable for research in AI-driven cultural applications, educational tools, and digital humanities initiatives aiming to bridge traditional knowledge with computational methods. Researchers and practitioners may utilize the dataset for training generative models, creating interactive educational platforms, developing culturally sensitive AI agents, and supporting comparative studies in cross-cultural heritage. This openly accessible resource adheres to ethical standards, with proper attribution to source materials, and provides a foundational asset for both academic research and applied development in culturally informed artificial intelligence.

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Publication Details

Journal
Data in Brief
Published
2026-01-20
DOI
https://doi.org/10.1016/j.dib.2026.112495
Primary Topic
Topic Modeling
Type
article
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article

Generated cultural heritage question–answer dataset: Durga in multi-dimensional perspectives

Gulsun Kurubacak Çakır, Andrew Nafalski, Tri Lathif Mardi Suryanto, Aji Prasetya Wibawa et al.
Data in Brief
Topic Modeling
article

Generated cultural heritage question–answer dataset: Durga in multi-dimensional perspectives

Gulsun Kurubacak Çakır, Andrew Nafalski, Tri Lathif Mardi Suryanto, Aji Prasetya Wibawa, Hariyono
article en

Abstract

This dataset presents a valuable compilation of question-answer (QA) pairs derived from cultural texts and sources related to Durga mythology. A total of 21,395 QA pairs, encompassing textual materials such as scriptures, ritual narratives, temple inscriptions, and traditional storytelling records. Each entry includes the source reference, question, and corresponding answer, provided in a structured format compatible with Excel for seamless integration into downstream natural language processing (NLP) tasks. Data collection involved manual curation and annotation by domain experts, followed by preprocessing steps including text normalization, duplication removal, and verification of factual and contextual accuracy. The dataset is designed to support generative QA models, culturally aware chatbots, and digital preservation of heritage knowledge. It is particularly valuable for research in AI-driven cultural applications, educational tools, and digital humanities initiatives aiming to bridge traditional knowledge with computational methods. Researchers and practitioners may utilize the dataset for training generative models, creating interactive educational platforms, developing culturally sensitive AI agents, and supporting comparative studies in cross-cultural heritage. This openly accessible resource adheres to ethical standards, with proper attribution to source materials, and provides a foundational asset for both academic research and applied development in culturally informed artificial intelligence.

Data in BriefVol. 65
State University of Malang (ID), University of South Australia (AU), Ankara Hacı Bayram Veli University (TR), University of Pembangunan Nasional Veteran Jawa Timur (ID)
Sustainable cities and communities
Openalex Percentile: Top 84%
Topic Modeling
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