chunk_content: tually the default)
      outputs = tokenizer(examples["sentence1"], examples["sentence2"], truncation=True, max_length=None)
      return outputs
  Use map to apply the tokenize_function to the dataset, and remove the unprocessed columns because the model won’t need those. You should also rename the label column to labels because that is the expected name for the labels by models in the 🤗 Transformers library.
  
  
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  tokenized_datasets = dataset.