From the periodicals corpus, the team released an expert-labelled text classification dataset for nineteenth-century Ottoman Turkish and Russian. It contains 1,819 Ottoman articles and 1,058 Russian articles, labelled on up to four levels. The accompanying paper tests baseline models, from naive Bayes to multilingual BERT, Falcon and Llama-2, and shows the challenges historical, non-standardised languages pose for current language models.