class_docstr: Dataset of comments from Wikipedia's Talk page edits. Taken from the Toxic Comments
  Classification Challenge on Kaggle.
  
  <https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/data>
  
  We convert this data to a binary classification task.
class_docstr_tok: ["Dataset","of","comments","from","Wikipedia","'s","Talk","page","edits",".","Taken","from","the","Toxic","Comments","Classification","Challenge","on","Kaggle",".","<","https",":","\/\/www.kaggle.com\/c\/jigsaw-toxic-comment-classification-challenge\/data",">","We","convert","this","data","to","a","binary","classification","task","."]
code: def get(self, episode_idx, entry_idx):
      sample = self.data[episode_idx]
      sample["label_candidates"] = self.label_candidates
      sample["episode_done"] = True
      sample["labels"] = [
          self.label_candidates[int(sample["is_sensitive"]) - 1]
      ]
      return Message(sample)
  
imports: from typing import Optional
  from parlai.core.params import ParlaiParser
  from parlai.core.opt import Opt
  import parlai.core.build_data
  from parlai.core.message import Message
  from parlai.core.teachers import FixedDialogTeacher
  from parlai.utils.io import PathManager
  from .base_agent import _BaseSafetyTeacher
  from .build import build
  import copy
  import json
  import os
  import random
  import sys
label_desc: Use image node_id 10 for calling the WikiToxicCommentsTeacher obj's underlying member method code with example usage: obj.get(episode_idx, entry_idx) and returns: Message