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In this video tutorial, the presenter discusses classification by fine-tuning a bird model, specifically the one chosen from the Hugging Face repository with 33 million downloads in the last month. The fine-tuned model is used to predict NER tokens on the CoNLL 2003 dataset, which focuses on language-independent named entity recognition, specifically on entities like person, location, organizations, and miscellaneous names. The dataset consists of four columns with each word on a separate line and an empty line after each sentence. This part of the tutorial focuses on analyzing the dataset.