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The FEVER (Fact Extraction and VERification) dataset is a benchmark for assessing a model's ability to check the veracity of statements, where each instance includes a claim and a label of SUPPORTS, REFUTES, or NOT ENOUGH INFO, evaluated in a 16-shot setting.

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