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+ ---
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+ languages:
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+ - si
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+
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+ licenses:
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+ - cc-by-sa-4.0
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+
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+ task_categories:
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+ - structure-prediction
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+
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+ task_ids:
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+ - tokenization
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+ - part-of-speech-tagging
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+ - lemmatization
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+ - named-entity-recognition
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+ - dependency-parsing
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+
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+ ---
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+ The dataset contains 7432 training samples, 1164 validation samples and 893 test samples.
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+ Each sample represents a sentence and includes the following features: sentence ID ('sent\_id'),
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+ 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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+ list of IOB tags ('iob\_tags'), and list of universal dependency tags ('uds'). Three dataset configurations are
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+ available, where the corresponding features are encoded as class labels: 'ner', 'upos', and 'ud'.