metadata
languages:
- sr
licenses:
- cc-by-sa-4.0
task_categories:
- structure-prediction
task_ids:
- tokenization
- normalization
- part-of-speech-tagging
- lemmatization
- named-entity-recognition
SETimesq_sr is a Serbian dataset annotated for morphosyntactic information and named entities.
The dataset contains 3177 training samples, 395 validation samples and 319 test samples across the respective data splits. Each sample represents a sentence and includes the following features: sentence ID ('sent_id'), sentence text ('text'), list of tokens ('tokens'), list of lemmas ('lemmas'), list of Multext-East tags ('xpos_tags), list of UPOS tags ('upos_tags'), list of morphological features ('feats'), and list of IOB tags ('iob_tags'). The 'upos_tags' and 'iob_tags' features are encoded as class labels.