Merge branch 'main' of https://huggingface.co/datasets/classla/setimes_sr into main
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README.md
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---
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languages:
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- sr
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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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---
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SETimesq\_sr is a Serbian dataset annotated for morphosyntactic information and named entities.
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The dataset contains 3177 training samples, 395 validation samples and 319 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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