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@@ -34,10 +34,15 @@ Part-of-speech tagging (POS tagging) - tagging words in text with their correspo
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  **Output** ('*pos_tags'* column): sequence of predicted tokens’ classes (35 possible classes, described in detail in the annotation guidelines)
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- ***example**:*
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- ['Najwyraźniej', 'źle', 'ocenił', 'odległość', ',', 'bo', 'zderzył', 'się', 'z', 'jadącą', 'z', 'naprzeciwka', 'ciężarową', 'scanią', '.'] → ['qub', 'adv', 'praet', 'subst', 'interp', 'comp', 'praet', 'qub', 'prep', 'pact', 'prep', 'burk', 'adj', 'subst', 'interp']
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  Measurements:
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  ## Data splits
 
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  **Output** ('*pos_tags'* column): sequence of predicted tokens’ classes (35 possible classes, described in detail in the annotation guidelines)
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+ **Measurements**: F1-score (seqeval)
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+ **Example***:*
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+ Input: `['Zarejestruj', 'się', 'jako', 'bezrobotny', '.']`
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+
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+ Input (translated by DeepL): `Register as unemployed.`
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+
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+ Output: `['impt', 'qub', 'conj', 'subst', 'interp']`
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  Measurements:
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  ## Data splits