class_docstr: Image Chat gender.
class_docstr_tok: ["Image","Chat","gender","."]
code: def _setup_data(self, opt):
      # Load map from image ID to gender
      counts = {
          gend_utils.FEM: 0,
          gend_utils.MASC: 0,
          gend_utils.NEUTRAL: 0,
      }
      self.image_id_to_gender = {}
      gender_data_fle = self._load_gender_data(opt)
      with open(gender_data_fle, "r") as f:
          for line in f:
              gender_dct = json.loads(line)
              image_id = gender_dct["id"]
              male = gender_dct["male"]
              female = gender_dct["female"]
              if not male and not female:
                  gender = gend_utils.NEUTRAL
              elif male and not female:
                  gender = gend_utils.MASC
              elif female and not male:
                  gender = gend_utils.FEM
              else:
                  # detected both a man and a woman in the photo
                  gender = gend_utils.NEUTRAL
              self.image_id_to_gender[image_id] = gender
  
      # Now load the captions
      image_teacher_opt = deepcopy(opt)
      image_teacher_opt["include_image"] = False
      orig_data = OrigImageTeacher(image_teacher_opt).data
      data = []
      missing_cnt = 0
      extra_data = []
      for ex in orig_data:
          image_num = ex["image_hash"]
          gender = self.image_id_to_gender.get(image_num)
          if gender is None:
              missing_cnt += 1
              continue
          for dialog in ex["dialog"]:
              text = dialog[1]
              label = f"ABOUT:{gender}"
              data.append((text, label, image_num, "about"))
              counts[gender] += 1
  
              if self.add_unknown_classes:
                  extra_data.append(
                      (
                          text,
                          f"SELF:{gend_utils.NEUTRAL}",
                          image_num,
                          "self",
                      )
                  )
                  extra_data.append(
                      (
                          text,
                          f"PARTNER:{gend_utils.NEUTRAL}",
                          image_num,
                          "partner",
                      )
                  )
  
      # possibly sample the added unknown class data
      if len(extra_data) > 0:
          sample_rate = self.opt["unknown_temp"]
          if sample_rate < 1.0:
              to_samp = int(sample_rate * len(extra_data))
              sampled = random.sample(extra_data, to_samp)
              data += sampled
          else:
              data += extra_data
  
      demarc = "=" * 50
      print("\n\n" + demarc)
      print("Gender breakdown:")
      tot = sum(counts.values())
      for k, v in counts.items():
          print(f"{k}: {v} ({v / tot})")
      print(f"Total: {tot}")
      print(demarc + "\n\n")
  
      if self.is_train:
          random.shuffle(data)
  
      return data
  
imports: from typing import Optional
  from parlai.core.params import ParlaiParser
  from parlai.core.opt import Opt
  from parlai.core.message import Message
  from parlai.core.teachers import FixedDialogTeacher
  from parlai.tasks.md_gender.build import build
  from parlai.tasks.image_chat.agents import ImageChatTeacher
  import parlai.tasks.md_gender.utils
  from copy import deepcopy
  import json
  import os
  import random
label_desc: Use image node_id 4 for calling the ImageChatTeacher obj's underlying member method code with example usage: obj._setup_data(opt) and returns: data