Mini Worldlit: A Dataset of Contemporary Fiction from 13 Countries, Nine Languages, and Five Continents
World literature plays a key role in understanding the global diversity of human storytelling. However, datasets suitable for large-scale cross-cultural analysis remain limited. Responding to the increasing digitization of literary texts and the need for more diverse and multilingual resources, we i...
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| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2025-01-01
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| Series: | Journal of Open Humanities Data |
| Subjects: | |
| Online Access: | https://account.openhumanitiesdata.metajnl.com/index.php/up-j-johd/article/view/248 |
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| Summary: | World literature plays a key role in understanding the global diversity of human storytelling. However, datasets suitable for large-scale cross-cultural analysis remain limited. Responding to the increasing digitization of literary texts and the need for more diverse and multilingual resources, we introduce Mini Worldlit, a manually curated dataset of 1,192 works of contemporary fiction from 13 countries, representing nine languages across five continents. Mini Worldlit employs consistent cross-cultural selection criteria, overseen by scholarly experts, to ensure geographic, linguistic, and stylistic coherence. The dataset provides a foundation for future comparative studies of global literary cultures, offering a template for cross-cultural sampling. Our methodology pairs geographic boundaries with linguistic communities, enabling a structured exploration of world literature. This dataset is designed to facilitate a comparative approach to understanding literature and support the growing field of multilingual digital humanities. |
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| ISSN: | 2059-481X |