`new formatted columns = (all columns - previously unformatted columns)`

        Example:

        ```py
        >>> from datasets import load_dataset
        >>> from transformers import AutoTokenizer
        >>> 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["train"].format
        {'columns': ['input_ids', 'token_type_ids', 'attention_mask', 'label'],
         'format_kwargs': {},
         'output_all_columns': False,
         'type': 'numpy'}
        ```
        """
        self._check_values_type()
        for dataset in self.values():
            dataset.set_format(type=type, columns=columns, output_all_columns=output_all_columns, **format_kwargs)