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README.md
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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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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'.
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