code: def setup_data(self, datafile):
      lines_file = _path(
          self.opt, "cornell movie-dialogs corpus", "movie_lines.txt"
      )
      convo_file = _path(
          self.opt,
          "cornell movie-dialogs corpus",
          "movie_conversations.txt",
      )
  
      lines = {}
  
      codecs.register_error("strict", codecs.ignore_errors)
      with codecs.open(lines_file, "r") as f:
          for line in f:
              l = line.split(" +++$+++ ")
              lines[l[0]] = (
                  " ".join(l[4:]).strip("\n").replace("\t", " ")
              )
  
      cnt = 0
      with codecs.open(convo_file, "r") as f:
          for cnt, line in enumerate(f, 1):
              l = line.split(" ")
              convo = " ".join(l[6:]).strip("\n").strip("[").strip("]")
              c = convo.replace("'", "").replace(" ", "").split(",")
  
              texts = [lines[l] for l in c]
  
              if (cnt % 10 == 0) and self.fold != "test":
                  continue
              elif (cnt % 10 == 1) and self.fold != "valid":
                  continue
              elif (cnt % 10 > 1) and self.fold != "train":
                  continue
  
              for i, (prompt, response) in enumerate(
                  zip(texts[::2], texts[1::2])
              ):
                  yield {"text": prompt, "label": response}, i == 0
  
              if self.DOUBLE:
                  for i, (prompt, response) in enumerate(
                      zip(texts[1::2], texts[2::2])
                  ):
                      yield {"text": prompt, "label": response}, i == 0
  
file_path: ParlAI/parlai/tasks/cornell_movie/agents.py
imports: from parlai.core.teachers import DialogTeacher
  from .build import build
  from parlai.utils.data import DatatypeHelper
  import copy
  import os
  import codecs
label_desc: Use image node_id 2 for calling the DefaultTeacher obj's underlying member method code with example usage: obj.setup_data(datafile) without return types