code: def run(self):
      datatype = self.opt["datatype"].split(":")[0]
      self.opt["world_logs"] = os.path.join(
          self.opt["save_dir"],
          f"{datatype}_split_{self.opt['f1_overlap_threshold']}_f1_overlap",
      )
      try:
          self.generate_data()
      except:
          logging.error("ERROR")
          self.log()
          import ipdb
  
          ipdb.set_trace()
          raise
  
imports: import nltk
  import os
  import random
  import torch
  from typing import Optional, List, Tuple
  from parlai.core.params import ParlaiParser
  from parlai.core.opt import Opt
  from parlai.agents.rag.retrievers import RetrieverType, Document
  from parlai.agents.fid.fid import SearchQuerySearchEngineFiDAgent
  from parlai.agents.tfidf_retriever.utils import filter_word
  from parlai.core.agents import Agent, create_agent
  from parlai.core.dict import DictionaryAgent
  from parlai.core.message import Message
  from parlai.core.metrics import F1Metric
  from parlai.core.script import ParlaiScript
  from parlai.core.worlds import create_task
  from parlai.scripts.eval_model import setup_args, get_task_world_logs
  from parlai.tasks.wizard_of_wikipedia.agents import TOKEN_KNOWLEDGE, TOKEN_END_KNOWLEDGE
  import parlai.utils.logging
  from parlai.utils.misc import TimeLogger
  from parlai.utils.world_logging import WorldLogger
  from projects.blenderbot2.agents.modules import BB2SearchQuerySearchEngineRetriever
label_desc: Use image node_id 2 for calling the GenerateLmData obj's underlying member method code with example usage: obj.run() without return types