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README.md
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This dataset is based on
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The dataset contains 5462 training 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 normalised tokens ('norms'), list of lemmas ('lemmas'), list of UPOS tags ('upos\_tags'),
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list of MULTEXT-East tags ('xpos\_tags), list of morphological features ('feats'),
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- named-entity-recognition
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This dataset is based on 3,748 Serbian tweets that were segmented into sentences, tokens, and annotated with normalized forms, lemmas, MULTEXT-East tags (XPOS), UPOS tags and morphological features, and named entities.
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The dataset contains 5462 training samples (sentences), 711 validation samples and 725 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 normalised tokens ('norms'), list of lemmas ('lemmas'), list of UPOS tags ('upos\_tags'),
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list of MULTEXT-East tags ('xpos\_tags), list of morphological features ('feats'),
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