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languages: |
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- hr |
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licenses: |
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- cc-by-sa-4.0 |
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task_categories: |
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- structure-prediction |
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task_ids: |
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- tokenization |
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- normalization |
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- part-of-speech-tagging |
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- lemmatization |
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- named-entity-recognition |
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The hr500k training corpus contains about 500,000 Croatian tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, lemmatisation and named entities. |
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On the sentence level, the dataset contains 20159 training samples, 1963 validation samples and 2672 test samples |
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across the respective data splits. Each sample represents a sentence and includes the following features: |
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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 |
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are encoded as class labels. |
