code: def load_data(self, datapath):
      folder, fold = os.path.split(datapath)
      with PathManager.open(os.path.join(folder, "tasks.txt")) as taskf:
          tasks_table = pd.read_json(taskf, lines=True)
  
      dfolder = os.path.join(folder, "dialogues")
  
      data = []
  
      for filename in PathManager.ls(dfolder):
          domain = filename.replace(".txt", "")
          if (
              self.opt["metalwoz_domains"]
              and domain not in self.opt["metalwoz_domains"]
          ):
              continue
          fullfn = os.path.join(dfolder, filename)
          with PathManager.open(fullfn) as dataf:
              lines = pd.read_json(dataf, lines=True)
              lines = lines.merge(tasks_table, on="task_id")
              data.append(lines.to_dict("records"))
  
      # Quick check to make sure we didn't fat-finger the spelling of some domain
      if self.opt["metalwoz_domains"]:
          assert len(data) == len(self.opt["metalwoz_domains"])
  
      if "test" in self.fold:
          flat = []
          for domain in data:
              flat.extend(domain)
          return flat
  
      return DatatypeHelper.split_subset_data_by_fold(
          self.fold, data, 0.8, 0.1, 0.1
      )
  
imports: from parlai.core.opt import Opt
  from parlai.core.params import ParlaiParser
  from parlai.core.teachers import DialogTeacher
  from parlai.utils.io import PathManager
  from parlai.utils.data import DatatypeHelper
  from .build import build
  import os
  import pandas
  from typing import Optional
label_desc: Use image node_id 4 for calling the MetalWozTeacherBase obj's underlying member method code with example usage: obj.load_data(datapath) and returns: DatatypeHelper, flat