A dataset of 1500-word stories generated by gpt-4o-mini for 236 nationalitiesdoi:10.18710/VM2K4ODataverseNO2025-05-281Rettberg, Jill Walker; Wigers, Hermann, 2025, "A dataset of 1500-word stories generated by gpt-4o-mini for 236 nationalities", https://doi.org/10.18710/VM2K4O, DataverseNO, V1A dataset of 1500-word stories generated by gpt-4o-mini for 236 nationalitiesdoi:10.18710/VM2K4O10.5281/zenodo.14947238https://github.com/AI-STORIES-ERC/GPT_storiesRettberg, Jill WalkerWigers, HermannRettberg, Jill WalkerUniversity of BergenCenter for Digital CultureWigers, HermannWigers, HermannRobinson, ColinAI STORIESBergen, NorwayPythonOpenAI APIdistilbert-base-uncased-emotionTextBlob101142306332643DataverseNOUniversity of BergenRettberg, Jill WalkerRettberg, Jill Walker2025-02-17Arts and HumanitiesComputer and Information Sciencedigital humanitiesdigital humanitiesgenerative AIgpt-4o-mininarrationgenerative artificial intelligencelarge language modelsynthetic dataWe created a dataset of stories generated by OpenAI’s gpt-4o-miniby using a Python script to construct prompts that were sent to the OpenAI API. We used Statistics Norway’s list of 252 countries, added demonyms for each country, for example Norwegian for Norway, and removed countries without demonyms, leaving us with 236 countries. Our base prompt was “Write a 1500 word potential {demonym} story”, and we generated 50 stories for each country. The scripts used to generate the data, and additional scripts for analysis are available at the GitHub repository https://github.com/MachineVisionUiB/GPT_stories2025-01-132025-01-19AI-generated stories for each of the 252 nationalities listed in Statistics Norway's dataset of countries.AI-generated texthttps://github.com/MachineVisionUiB/GPT_stories<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>Rettberg, Jill Walker and Hermann Wigers, forthcoming 2025, "AI-generated stories favour stability over change: homogeneity and cultural stereotyping in narratives generated by gpt-4o-mini" (submitted for review May 2025).Rettberg, Jill Walker and Hermann Wigers, forthcoming 2025, "AI-generated stories favour stability over change: homogeneity and cultural stereotyping in narratives generated by gpt-4o-mini" (submitted for review May 2025).00_README.txtDescription of the dataset.text/plaincountry_data.csvList of the countries we generated stories for with country names and demonyms, alpha-2 and alpha-3 country codes, emoji flags, regions, sub-regions and 2023 population numbers. The list of 252 countries is from Statistics Norway. See 00_README.txt for details of where the other data is taken from. We only generated stories for the 236 countries with demonyms.text/comma-separated-valuesgpt-stories.zipZip file containing generated stories, summaries, word frequencies, sentiments and protagonist names for 236 countries, generated by gpt-4o-mini in January and February 2025.application/zip