class_docstr: Teacher for bot_adversarial_dialogue.
class_docstr_tok: ["Teacher","for","bot_adversarial_dialogue","."]
code: def _setup_data(self, path):
      logging.info(f"Loading ParlAI text data: {path}")
  
      self.episodes = []
      self.num_exs = 0
      eps = []
      with PathManager.open(
          path, newline="\n", encoding="utf-8"
      ) as read:
          for line_no, line in enumerate(read, 1):
              msg = str_to_msg(line.rstrip("\n"))
              if msg and "eval_labels" in msg:
                  raise ValueError(
                      f"It looks like you've written eval_labels as a key in your "
                      f"data file. This is not appropriate; labels will be converted "
                      f"for you automatically. This is happening on Line {line_no} "
                      f"in {path}. The line is:\n\t{line}"
                  )
              if msg and "text" not in msg:
                  raise ValueError(
                      f'ParlaiDialogTeacher requires a "text" field in every '
                      f"entry, but one is missing in Line {line_no} in {path}. "
                      f"The line is:\n\t{line}"
                  )
              if msg and "labels" not in msg:
                  raise ValueError(
                      f'ParlaiDialogTeacher requires a "labels" field in every '
                      f"entry, but one is missing in Line {line_no} in {path}. "
                      f"The line is:\n\t{line}"
                  )
  
              if (
                  self.opt["bad_speaker_to_eval"] != "all"
                  and self.opt["bad_speaker_to_eval"]
                  != msg["speaker_to_eval"]
              ):
                  continue
              if (
                  self.opt["bad_safety_mix"] != "all"
                  and SAFETY_DICT[self.opt["bad_safety_mix"]]
                  != msg["labels"][0]
              ):
                  continue
              msg_text = msg["text"]
              dialog = msg_text.split("\n")
              if (
                  self.opt["bad_include_persona"]
                  and msg["speaker_to_eval"] == "bot"
              ):
                  # only display persona if it's asked to and if the last turn is bot.
                  if len(msg["bot_persona"].strip()) > 0:
                      dialog[0] = msg["bot_persona"] + "\n" + dialog[0]
              if self.opt["bad_num_turns"] > 0:
                  msg_text = "\n".join(
                      dialog[-self.opt["bad_num_turns"] :]
                  )
              else:
                  msg_text = "\n".join(dialog)
              if msg:
                  msg.force_set("text", msg_text)
                  self.num_exs += 1
                  eps.append(msg)
                  if msg.get("episode_done", False):
                      self.episodes.append(eps)
                      eps = []
      if len(eps) > 0:
          # add last episode
          eps[-1].force_set("episode_done", True)
          self.episodes.append(eps)
      if len(self.episodes) == 1 and line_no > 100:
          logging.error(
              f"The data in {path} looks like one very long episode. If this "
              f"is intentional, you may ignore this, but you MAY have a bug in "
              f"your data."
          )
  
imports: from typing import Optional, List
  from parlai.core.params import ParlaiParser
  import os
  from parlai.core.opt import Opt
  from parlai.core.teachers import ParlAIDialogTeacher
  from parlai.core.mutators import register_mutator, ManyEpisodeMutator
  from parlai.tasks.bot_adversarial_dialogue.build import build_dialogue_datasets, build_human_safety_eval_dataset, build_human_nonadv_safety_eval_dataset, get_adversarial_dialogue_folder, get_human_safety_eval_folder, get_human_nonadv_safety_eval_folder
  import parlai.utils.logging
  from parlai.utils.io import PathManager
  from parlai.utils.misc import str_to_msg
  from parlai.tasks.dialogue_safety.agents import OK_CLASS, NOT_OK_CLASS
  from parlai.core.message import Message
  from parlai.utils.misc import warn_once
label_desc: Use image node_id 3 for calling the BotAdversarialDialogueTeacher obj's underlying member method code with example usage: obj._setup_data(path) without return types