code: def dump_data(opt):
      # create repeat label agent and assign it to the specified task
      agent = RepeatLabelAgent(opt)
      world = create_task(opt, agent)
      opt.log()
      ignorefields = opt.get("ignore_fields", "")
      if opt["outfile"] is None:
          outfile = tempfile.mkstemp(
              prefix="{}_{}_".format(opt["task"], opt["datatype"]),
              suffix=".txt",
          )[1]
      else:
          outfile = opt["outfile"]
  
      if opt["num_examples"] == -1:
          num_examples = world.num_examples()
      else:
          num_examples = opt["num_examples"]
      log_timer = TimeLogger()
  
      logging.debug("starting to convert...")
      logging.info(f"saving output to {outfile}")
      with open(outfile, "w") as fw:
          for _ in range(num_examples):
              world.parley()
              acts = world.get_acts()
              value = acts[0].get(
                  "labels", acts[0].pop("eval_labels", None)
              )
              acts[0].force_set("labels", value)
              txt = msg_to_str(acts[0], ignore_fields=ignorefields)
              fw.write(txt + "\n")
              if acts[0].get("episode_done", False):
                  fw.write("\n")
  
              if log_timer.time() > opt["log_every_n_secs"]:
                  text, _log = log_timer.log(
                      world.total_parleys, world.num_examples()
                  )
                  logging.info(text)
  
              if world.epoch_done():
                  logging.info("epoch done")
                  break
  
file_path: ParlAI/parlai/scripts/convert_data_to_parlai_format.py
imports: from parlai.core.params import ParlaiParser
  from parlai.agents.repeat_label.repeat_label import RepeatLabelAgent
  from parlai.core.worlds import create_task
  from parlai.utils.misc import msg_to_str, TimeLogger
  import parlai.utils.logging
  from parlai.core.script import ParlaiScript, register_script
  import random
  import tempfile
label_desc: Use image node_id 1 for calling a global function with example usage: dump_data(opt) without return types