code: def create_examples(cls, path, set_type, return_generator):
      generator = ReusableGenerator(
          cls.get_examples_generator, path=path, set_type=set_type
      )
      if return_generator:
          return generator
      else:
          return list(generator)
  
imports: import numpy
  import torch
  from dataclasses import dataclass
  from typing import List, Tuple
  from jiant.utils.python.datastructures import ReusableGenerator
  from jiant.tasks.core import Task, TaskTypes, BaseExample, BaseTokenizedExample, BaseDataRow, BatchMixin
  from jiant.tasks.lib.templates.shared import construct_single_input_tokens_and_segment_ids, create_input_set_from_tokens_and_segments
label_desc: Use image node_id 6 for calling the MLMTask obj's underlying member method code with example usage: obj.create_examples(cls, path, set_type, return_generator) and returns: generator, list