AI-generated text detection for Slavic languages
Year: 2026
Type: dataset
Abstract: This is a dataset of news in original form with two AI-generated versions in parallel for three languages: Slovenian, Czech, and Slovak. The current design targets the more precisely defined task of distinguishing human-written from machine-generated journalistic text.To reduce differences caused by fundamentally different types of publishers, public-service news organizations were selected as the initial human-text sources for each language. The resulting sources are: RTVSLO (\url{https://www.rtvslo.si/}) for Slovene, ČT24 (Česká televize) (\url{https://ct24.ceskatelevize.cz/}) for Czech, Správy STVR (\url{https://spravy.stvr.sk/}) for Slovak. For each source article, two synthetic versions were generated using DeepSeek (DeepSeek-V4-Flash) and ChatGPT (GPT-5.6 Sol). Both generators received the same lead-conditioned generation instruction. Additionally, for Slovene, the GAMS (GaMS3-12B-Instruct) LLM was used. The generation procedure uses the summary or lead associated with a human-written news article as input to a large language model (LLM). The LLM is then instructed to generate a complete news article based on this information.
Authors: Vičič, Jernej, Vake, Domen
Institution: University of Primorska
Language: Slovenian
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7203989518