def prepare_dataset(self, data_dict: Optional[dict] = {}) -> None:
        """
        This function prepares a dataset for autotrain using a dictionary of data and specific column
        mappings.

        Args:
          data_dict_params: A dictionary that contains additional parameters to be passed
            to the `AutoTrainDataset` constructor. These parameters are optional and can be used to
            customize the dataset preparation process.
        """
        from autotrain.dataset import AutoTrainDataset

        self.dset = AutoTrainDataset(
            task=self.task,
            token=self.HF_TOKEN,
            username=self.AUTOTRAIN_USERNAME,
            project_name=self.project_name,
            **data_dict,
            percent_valid=None,
            column_mapping={
                "text": "text",
                "label": "label",
            },
        )

        This function prepares a dataset for autotrain using a dictionary of data and specific column
        mappings.

        Args:
          data_dict_params: A dictionary that contains additional parameters to be passed
            to the `AutoTrainDataset` constructor. These parameters are optional and can be used to
            customize the dataset preparation process.
        
argilla-v1/src/argilla_v1/training/autotrain_advanced.py