code: def _test_load_dataset(
      self,
      default_dataset: bool,
      try_to_guess_data_keys: bool,
      only_keep_necessary_columns: bool,
      **preprocessor_kwargs,
  ):
      task_processor = (
          TaskProcessorsManager.get_task_processor_class_for_task(
              self.TASK_NAME
          )(self.CONFIG, self.PREPROCESSOR, preprocessor_kwargs)
      )
      data_keys = (
          TASK_TO_NON_DEFAULT_DATASET[self.TASK_NAME][
              "dataset_data_keys"
          ]
          if not try_to_guess_data_keys
          else None
      )
      dataset_with_all_columns = None
      if default_dataset:
          dataset = task_processor.load_default_dataset(
              only_keep_necessary_columns=only_keep_necessary_columns
          )
          if only_keep_necessary_columns:
              dataset_with_all_columns = (
                  task_processor.load_default_dataset()
              )
      else:
          path, load_dataset_kwargs = self.get_dataset_path_and_kwargs()
          dataset = task_processor.load_dataset(
              path,
              data_keys=data_keys,
              only_keep_necessary_columns=only_keep_necessary_columns,
              **load_dataset_kwargs,
          )
          if only_keep_necessary_columns:
              dataset_with_all_columns = task_processor.load_dataset(
                  path, data_keys=data_keys, **load_dataset_kwargs
              )
  
      # We only check if the column names of the dataset with the not necessary columns removed are a strict subset
      # of the dataset with all the columns.
      if dataset_with_all_columns is not None:
          if isinstance(dataset, DatasetDict):
              for split_name, split in dataset.items():
                  self.assertLess(
                      set(split.column_names),
                      set(
                          dataset_with_all_columns[
                              split_name
                          ].column_names
                      ),
                  )
          else:
              self.assertLess(
                  set(dataset.column_names),
                  set(dataset_with_all_columns.column_names),
              )
  
      return dataset
  
imports: import copy
  import random
  import string
  from typing import TYPE_CHECKING, Any, Dict, Tuple, Union
  from unittest import TestCase
  from datasets import DatasetDict
  from transformers import AutoConfig, AutoFeatureExtractor, AutoTokenizer
  from optimum.utils.preprocessing import TaskProcessorsManager
label_desc: Use image node_id 6 for calling the TaskProcessorTestBase obj's underlying member method code with example usage: obj._test_load_dataset(default_dataset, try_to_guess_data_keys, only_keep_necessary_columns) and returns: dataset