code: def prepare_dataset(
      self,
      dataset: Union[DatasetDict, Dataset],
      data_keys: Dict[str, str],
      ref_keys: Optional[List[str]] = None,
      split: Optional[str] = None,
  ) -> Union[DatasetDict, Dataset]:
      if isinstance(dataset, Dataset) and split is not None:
          raise ValueError(
              "A Dataset and a split name were provided, but splits are for DatasetDict."
          )
      elif split is not None:
          dataset = dataset[split]
      return dataset.map(
          self.create_dataset_processing_func(data_keys, ref_keys)
      )
  
imports: import copy
  import functools
  import itertools
  from abc import ABC, abstractmethod
  from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, Set, Tuple, Type, Union
  from datasets import Dataset, DatasetDict
  from datasets import load_dataset
  from transformers import PreTrainedTokenizerBase
  from transformers.image_processing_utils import BaseImageProcessor
  from ..None import logging
label_desc: Use image node_id 5 for calling the TaskProcessor obj's underlying member method code with example usage: obj.prepare_dataset(dataset, data_keys, ref_keys, split) and returns: dataset