code: def load_default_dataset(
      self,
      only_keep_necessary_columns: bool = False,
      load_smallest_split: bool = False,
      num_samples: Optional[int] = None,
      shuffle: bool = False,
      **load_dataset_kwargs,
  ):
      if isinstance(self.DEFAULT_DATASET_ARGS, dict):
          path = self.DEFAULT_DATASET_ARGS.get("path", None)
          if path is None:
              raise ValueError(
                  'When DEFAULT_DATASET_ARGS is a dictionary, it must contain a key called "path" corresponding to '
                  "the path or name of the dataset."
              )
          common_keys = set(self.DEFAULT_DATASET_ARGS.keys()) & set(
              load_dataset_kwargs.keys()
          )
          if common_keys:
              ", ".join(common_keys)
              logger.warning(
                  "The following provided arguments will be overriden because they are hardcoded when using "
                  "load_default_dataset: {override_config_key}."
              )
          kwargs = copy.deepcopy(load_dataset_kwargs)
          kwargs.update(
              {
                  k: v
                  for k, v in self.DEFAULT_DATASET_ARGS.items()
                  if k != "path"
              }
          )
      else:
          path = self.DEFAULT_DATASET_ARGS
          kwargs = load_dataset_kwargs
  
      return self.load_dataset(
          path,
          data_keys=self.DEFAUL_DATASET_DATA_KEYS,
          ref_keys=self.DEFAULT_REF_KEYS,
          only_keep_necessary_columns=only_keep_necessary_columns,
          load_smallest_split=load_smallest_split,
          num_samples=num_samples,
          shuffle=shuffle,
          **kwargs,
      )
  
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 9 for calling the TaskProcessor obj's underlying member method code with example usage: obj.load_default_dataset(only_keep_necessary_columns, load_smallest_split, num_samples, shuffle) and returns: self