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+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.