docstr: 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.
docstr_tok: ["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","."]
code: 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",
          },
      )
  
imports: import logging
  import os
  from typing import List, Optional, Union
  from uuid import uuid4
  from datasets import DatasetDict
  from argilla.client.models import TextClassificationRecord, TokenClassificationRecord
  from argilla.training.base import ArgillaTrainerSkeleton
  from argilla.utils.dependency import require_dependencies
label_desc: Use image node_id 1 for calling the AutoTrainMixin obj's underlying member method code with example usage: obj.prepare_dataset(data_dict) without return types