azWikiNER: A Gold-Standard Named Entity Recognition Corpus for Azerbaijani

A manually corrected named entity recognition corpus for Azerbaijani: 16,740 Wikipedia segments, 155,619 tokens and 32,334 annotated phrases across 16 entity categories (15 OntoNotes-derived types plus TITLE). Construction and evaluation are described in Ibiyev & Novák, TSD 2021 (doi:10.1007/978-3-030-83527-9_26) and in the author's PhD dissertation (PPKE ITK, 2026). See CITATION.bib for how to cite. DOI of this record: 10.5281/zenodo.22019336 Fine-tuned models: azNER-mBERT and azNER-xlmr