Datasets:
metadata
language:
- si
license:
- cc-by-sa-4.0
task_categories:
- structure-prediction
task_ids:
- tokenization
- part-of-speech-tagging
- lemmatization
- named-entity-recognition
- dependency-parsing
The dataset contains 7432 training samples, 1164 validation samples and 893 test samples. Each sample represents a sentence and includes the following features: sentence ID ('sent_id'), 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 dependency tags ('uds'). Three dataset configurations are available, where the corresponding features are encoded as class labels: 'ner', 'upos', and 'ud'.