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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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SETimes\_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'), |
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list of Multext-East tags ('xpos\_tags), list of UPOS tags ('upos\_tags'), |
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list of morphological features ('feats'), list of IOB tags ('iob\_tags') and list of universal dependencies ('uds'). |
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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'. |