code: def setup_args(parser=None):
      if parser is None:
          parser = ParlaiParser(True, True, "Display data from a task")
      # Get command line arguments
      parser.add_argument(
          "-n", "-ne", "--num-examples", type=int, default=10
      )
      parser.add_argument(
          "-mdl", "--max-display-len", type=int, default=1000
      )
      parser.add_argument(
          "--display-add-fields",
          type=str,
          default="",
          help='Display these fields when verbose is off (e.g., "--display-add-fields label_candidates,beam_texts")',
      )
      parser.add_argument(
          "--ignore-agent-reply", type=bool, default=True
      )
  
      parser.set_defaults(datatype="train:ordered")
      return parser
  
file_path: ParlAI/parlai/scripts/display_data.py
imports: from parlai.core.params import ParlaiParser
  from parlai.agents.fixed_response.fixed_response import FixedResponseAgent
  from parlai.core.worlds import create_task
  from parlai.utils.strings import colorize
  from parlai.core.script import ParlaiScript, register_script
  import parlai.utils.logging
  import random
label_desc: Use image node_id 1 for calling a global function with example usage: setup_args(parser) and returns: parser