conll-2003 refers to a dataset used for named entity recognition (NER) that was introduced during the Conference on Natural Language Learning (CoNLL) in 2003. This dataset is significant because it contains annotated text specifically designed for training and evaluating NER models, enabling researchers to identify and classify entities such as people, organizations, and locations within text.
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