code: def setup_data(self, input_path):
      print("loading: " + input_path)
      file_path = os.path.join(input_path)
  
      new_episode = True
  
      def convert_to_qa(input_data):
          lines = input_data.split("\n")
          context = lines[1]
          predicate_count = int(lines[0].split("\t")[-1])
          unparsed_qa = lines[2:]
  
          def parse_qa(qa_line):
              qa_split = qa_line.split("\t?\t")
              question = (
                  context
                  + "\n"
                  + qa_split[0].replace("\t_", "").replace("\t", " ")
                  + "?"
              )
              answers = qa_split[1].split(" ### ")
              return [question, answers]
  
          qa_pairs = []
          counter = 0
          for _i in range(predicate_count):
              question_count = int(unparsed_qa[counter].split("\t")[-1])
              counter += 1
              for _j in range(question_count):
                  qa_pairs.append(parse_qa(unparsed_qa[counter]))
                  counter += 1
          return qa_pairs
  
      with PathManager.open(file_path) as file:
          # split the data by sentences
          file_data = file.read().split("\n\n")[:-1]
      for data in file_data:
          for qa in convert_to_qa(data):
              question = qa[0]
              answers = qa[1]
              yield (question, answers, None, None), new_episode
  
file_path: ParlAI/parlai/tasks/qasrl/agents.py
imports: from parlai.core.teachers import DialogTeacher
  from parlai.utils.io import PathManager
  from .build import build
  import os
  import copy
label_desc: Use image node_id 2 for calling the QASRLTeacher obj's underlying member method code with example usage: obj.setup_data(input_path) and returns: qa_pairs, list