class_docstr: Task to finetune RoBERTa for Winograd Schemas.
class_docstr_tok: ["Task","to","finetune","RoBERTa","for","Winograd","Schemas","."]
docstr: Add task-specific arguments to the parser.
docstr_tok: ["Add","task-specific","arguments","to","the","parser","."]
code: def add_args(parser):
      """Add task-specific arguments to the parser."""
      parser.add_argument(
          "data",
          metavar="DIR",
          help="path to data directory; we load <split>.jsonl",
      )
      parser.add_argument(
          "--init-token",
          type=int,
          default=None,
          help="add token at the beginning of each batch item",
      )
  
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 1 for calling the WSCTask obj's underlying member method code with example usage: obj.add_args(parser) without return types