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@@ -21,5 +21,10 @@ The hr500k training corpus contains about 500,000 Croatian tokens manually annot
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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.
 
 
 
 
 
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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'),
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+ list of Multext-East tags ('xpos\_tags), list of UPOS tags ('upos\_tags'), list of morphological features ('feats'),
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+ and list of IOB tags ('iob\_tags'). A subset of the data also contains universal dependencies ('ud') and consists of
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+ 7498 training samples, 649 validation samples, and 742 test samples.
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+
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+ Three dataset configurations are available, namely 'ner', 'upos', and 'ud', with the corresponding features
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+ encoded as class labels. If the configuration is not specified, it defaults to 'ner'.