class_docstr: Task to finetune RoBERTa for Winograd Schemas.
class_docstr_tok: ["Task","to","finetune","RoBERTa","for","Winograd","Schemas","."]
docstr: Load the dictionary from the filename
  
  Args:
      filename (str): the filename
docstr_tok: ["Load","the","dictionary","from","the","filename","Args",":","filename","(","str",")",":","the","filename"]
code: def load_dictionary(cls, filename):
      """Load the dictionary from the filename
  
      Args:
          filename (str): the filename
      """
      dictionary = Dictionary.load(filename)
      dictionary.add_symbol("<mask>")
      return dictionary
  
imports: import json
  import os
  import tempfile
  import numpy
  import torch
  import torch.nn.functional
  from fairseq import utils
  from fairseq.data import Dictionary, IdDataset, ListDataset, NestedDictionaryDataset, NumelDataset, NumSamplesDataset, PadDataset, SortDataset, data_utils, encoders
  from fairseq.tasks import LegacyFairseqTask, register_task
  from .None import wsc_utils
label_desc: Use image node_id 3 for calling the WSCTask obj's underlying member method code with example usage: obj.load_dictionary(cls, filename) and returns: dictionary