```py
        >>> from datasets import load_dataset
        >>> from transformers import AutoTokenizer
        >>> ds = load_dataset("rotten_tomatoes", split="validation")
        >>> tokenizer = AutoTokenizer.from_pretrained("bert-base-cased")
        >>> ds = ds.map(lambda x: tokenizer(x['text'], truncation=True, padding=True), batched=True)
        >>> ds.set_format(type='numpy', columns=['input_ids', 'token_type_ids', 'attention_mask', 'label'])
        >>> ds.format
        {'columns': ['input_ids', 'token_type_ids', 'attention_mask', 'label'],
         'format_kwargs': {},
         'output_all_columns': False,
         'type': 'numpy'}
        >>> ds.reset_format()
        >>> ds.format
        {'columns': ['text', 'label', 'input_ids', 'token_type_ids', 'attention_mask'],
         'format_kwargs': {},
         'output_all_columns': False,
         'type': None}
        ```
        """
        self.set_format()