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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| Format: | Article |
| Language: | English |
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Ubiquity Press
2025-01-01
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| Series: | Journal of Open Humanities Data |
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| Online Access: | https://account.openhumanitiesdata.metajnl.com/index.php/up-j-johd/article/view/248 |
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| author | Andrew Piper David Bamman Christina Han Jens Bjerring-Hansen Hoyt Long Itay Marienberg-Milikowsky Tom McEnaney Mathias Iroro Orhero Emrah Peksoy Pallavi Rastogi Sebastian Rasmussen Roel Smeets Alexandra Stuart Mads Rosendahl Thomsen |
| author_facet | Andrew Piper David Bamman Christina Han Jens Bjerring-Hansen Hoyt Long Itay Marienberg-Milikowsky Tom McEnaney Mathias Iroro Orhero Emrah Peksoy Pallavi Rastogi Sebastian Rasmussen Roel Smeets Alexandra Stuart Mads Rosendahl Thomsen |
| author_sort | Andrew Piper |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-594cc6905caf438fbb0effe1ba736e1c |
| institution | Kabale University |
| issn | 2059-481X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Ubiquity Press |
| record_format | Article |
| series | Journal of Open Humanities Data |
| spelling | doaj-art-594cc6905caf438fbb0effe1ba736e1c2025-02-11T05:37:28ZengUbiquity PressJournal of Open Humanities Data2059-481X2025-01-01114410.5334/johd.248248Mini Worldlit: A Dataset of Contemporary Fiction from 13 Countries, Nine Languages, and Five ContinentsAndrew Piper0https://orcid.org/0000-0001-9663-5999David Bamman1Christina Han2Jens Bjerring-Hansen3https://orcid.org/0000-0001-5786-8300Hoyt Long4https://orcid.org/0000-0002-8562-5426Itay Marienberg-Milikowsky5https://orcid.org/0000-0002-1150-7259Tom McEnaney6Mathias Iroro Orhero7https://orcid.org/0000-0002-1970-4505Emrah Peksoy8https://orcid.org/0000-0003-4940-616XPallavi Rastogi9Sebastian Rasmussen10https://orcid.org/0000-0002-6238-2513Roel Smeets11Alexandra Stuart12Mads Rosendahl Thomsen13https://orcid.org/0000-0002-4975-6752Department of Languages, Literatures, and Cultures, McGill University, MontrealSchool of Information, University of California, Berkeley, BerkeleyHistory Program, Faculty of Liberal Arts, Wilfrid Laurier University, BrantfordDepartment of Nordic Studies and Linguistics, University of Copenhagen, CopenhagenDepartment of East Asian Languages and Civilizations, The University of Chicago, ChicagoDepartment of Hebrew Literature, Ben-Gurion University of the Negev, Beer-ShevaDepartment of Spanish & Portuguese, University of California, Berkeley, BerkeleyDepartment of African and African-American Studies, Louisiana State University, Baton RougeDepartment of Translation and Interpreting, Faculty of Humanities and Social Sciences, Kahramanmaras Istiklal University, KahramanmaraşDepartment of English, Louisiana State University, Baton RougeSchool of Communication and Culture – Comparative Literature, Aarhus University, AarhusDepartment of Modern Languages and Cultures Radboud University Nijmegen, NijmegenDepartment of Psychology, McGill University, MontrealSchool of Communication and Culture – Comparative Literature, Aarhus University, AarhusWorld 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.https://account.openhumanitiesdata.metajnl.com/index.php/up-j-johd/article/view/248literaturemultilingualismfictionworld literature |
| spellingShingle | Andrew Piper David Bamman Christina Han Jens Bjerring-Hansen Hoyt Long Itay Marienberg-Milikowsky Tom McEnaney Mathias Iroro Orhero Emrah Peksoy Pallavi Rastogi Sebastian Rasmussen Roel Smeets Alexandra Stuart Mads Rosendahl Thomsen Mini Worldlit: A Dataset of Contemporary Fiction from 13 Countries, Nine Languages, and Five Continents Journal of Open Humanities Data literature multilingualism fiction world literature |
| title | Mini Worldlit: A Dataset of Contemporary Fiction from 13 Countries, Nine Languages, and Five Continents |
| title_full | Mini Worldlit: A Dataset of Contemporary Fiction from 13 Countries, Nine Languages, and Five Continents |
| title_fullStr | Mini Worldlit: A Dataset of Contemporary Fiction from 13 Countries, Nine Languages, and Five Continents |
| title_full_unstemmed | Mini Worldlit: A Dataset of Contemporary Fiction from 13 Countries, Nine Languages, and Five Continents |
| title_short | Mini Worldlit: A Dataset of Contemporary Fiction from 13 Countries, Nine Languages, and Five Continents |
| title_sort | mini worldlit a dataset of contemporary fiction from 13 countries nine languages and five continents |
| topic | literature multilingualism fiction world literature |
| url | https://account.openhumanitiesdata.metajnl.com/index.php/up-j-johd/article/view/248 |
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