code: def setup_data(self, path):
      print("loading data from: " + path)
  
      qa_path = os.path.join(path, "qaps.csv")
      documents_path = os.path.join(path, "documents.csv")
  
      stories_base_path = os.path.join(path, "..", "stories")
      qa_pairs = dict()
  
      print(
          "%s stories found."
          % len(glob.glob(os.path.join(stories_base_path, "*.content")))
      )
  
      with PathManager.open(qa_path, "r") as f:
          reader = csv.DictReader(f)
          for row in reader:
              if row["document_id"] not in qa_pairs:
                  qa_pairs[row["document_id"]] = []
              qa_pairs[row["document_id"]].append(row)
  
      with PathManager.open(documents_path, "r") as f:
          reader = csv.DictReader(f)
  
          for row in reader:
              story_path = os.path.join(
                  stories_base_path, row["document_id"] + ".content"
              )
  
              if not os.path.exists(story_path):
                  continue
  
              story = None
              with PathManager.open(
                  story_path, "r", encoding="utf-8", errors="ignore"
              ) as f:
                  story = f.read().strip()
  
              info = "Title:  %s" % row["wiki_title"]
              info += "\nKind: %s" % row["kind"]
              info += "\nStory url: %s" % row["story_url"]
              info += "\nStory start: %s" % row["story_start"]
              info += "\nStory end: %s" % row["story_end"]
              info += "\nStory: %s" % story
  
              for i, qa in enumerate(qa_pairs[row["document_id"]]):
                  question = qa["question_tokenized"]
                  answer1 = qa["answer1_tokenized"]
                  answer2 = qa["answer2_tokenized"]
  
                  if i == 0:
                      # Prepend start info in first question
                      yield (
                          info + "\n" + question,
                          [answer1, answer2],
                      ), True
                  else:
                      yield (question, [answer1, answer2]), False
  
file_path: ParlAI/parlai/tasks/narrative_qa/agents.py
imports: from parlai.core.teachers import DialogTeacher
  from parlai.utils.io import PathManager
  from .build import build
  import os
  import copy
  import csv
  import glob
label_desc: Use image node_id 2 for calling the DefaultTeacher obj's underlying member method code with example usage: obj.setup_data(path) without return types