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While there has been a surge of large language models for Norwegian in recentyears, we lack any tool to evaluate their understanding of grammaticality. Wepresent two new Norwegian datasets for this task. NoCoLA_class is a supervisedbinary classification task where the goal is to discriminate between acceptableand non-acceptable sentences. On the other hand, NoCoLA_zero is a purelydiagnostic task for evaluating the grammatical judgement of a language model ina completely zero-shot manner, i.e. without any further training. In thispaper, we describe both datasets in detail, show how to use them for differentflavors of language models, and conduct a comparative study of the existingNorwegian language models.

NoCoLA: The Norwegian Corpus of Linguistic Acceptability