|
The hr500k training corpus contains about 500,000 tokens manually annotated on the levels of |
|
tokenisation, sentence segmentation, morphosyntactic tagging, lemmatisation and named entities. |
|
|
|
On the sentence level, the dataset contains 20159 training samples, 1963 validation samples and 2672 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. |
