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The dataset for an NLP model should typically be in a tabular format, such as a CSV or TSV file. Each row of the file represents one sample or instance, while the columns contain the different features or attributes of the sample. The target variable, or the variable to be predicted, should also be included in the dataset. The text data should be preprocessed and often converted to a numerical representation, such as word vectors or bag-of-words representation, before being fed into the NLP model.