Darbest Dataset: Universal Dependencies Treebank for Standard Sorani Kurdish

Sorani Kurdish linguistic experts supported the selection of sentences representing diverse and linguistically complex structures and reviewed LLM-generated annotations for errors. The gold-standard set was used to construct few-shot prompts for annotating the remaining corpus. The resulting annotations were represented in the standard CoNLL-U format and validated using the official Universal Dependencies validation tool, followed by manual correction and quality review.

The released treebank is divided into training, development, and test sets and includes lemmas, Universal Part-of-Speech (UPOS) tags, morphological features, syntactic heads, and dependency relations. The dataset can be used to train, evaluate, and benchmark NLP models for part-of-speech tagging, lemmatization, morphological analysis, dependency parsing, and related computational linguistics tasks. The accompanying repository also contains the separate 100-sentence gold-standard set, plain-text corpus splits, README documentation, and a dataset statistics spreadsheet.