code: def get_iterable_dataset(
      self,
      buffer_size=None,
      shuffle=False,
      subset_num: Union[None, int] = None,
      explicit_subset: Union[None, Sequence] = None,
      verbose=False,
  ):
      return ChunkedFilesIterableDataset(
          buffer_size=buffer_size,
          shuffle=shuffle,
          subset_num=subset_num,
          explicit_subset=explicit_subset,
          chunked_file_data_cache=self,
          verbose=verbose,
      )
  
imports: import math
  import numpy
  import os
  from typing import Generator, Union, Sequence
  import torch
  import torch.utils.data.dataset
label_desc: Use image node_id 2 for calling the ChunkedFilesDataCache obj's underlying member method code with example usage: obj.get_iterable_dataset(buffer_size, shuffle, subset_num, explicit_subset, verbose) and returns: ChunkedFilesIterableDataset