---
languages: 
- sr

licenses:
- cc-by-sa-4.0

task_categories:
- structure-prediction

task_ids:
- tokenization
- normalization
- part-of-speech-tagging
- lemmatization
- named-entity-recognition

---

SETimes\_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'), list of IOB tags ('iob\_tags') and list of universal dependencies ('uds'). 

Three dataset configurations are available, namely 'ner', 'upos', and 'ud', with the corresponding features
encoded as class labels. If the configuration is not specified, it defaults to 'ner'.