code: def __init__(
      self, name, path_dict, mlm_probability=0.15, do_mask=True
  ):
      super().__init__(name=name, path_dict=path_dict)
      self.mlm_probability = mlm_probability
      self.do_mask = do_mask
  
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 1 to create a new MLMTask object from inherited base classes: Task with example: obj = MLMTask(name, path_dict, mlm_probability, do_mask)