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 add_cmdline_args(
      cls, parser: ParlaiParser, partial_opt: Optional[Opt] = None
  ) -> ParlaiParser:
      super().add_cmdline_args(parser, partial_opt)
      parser = parser.add_argument_group(
          "Kaggle Toxic Comment Classification Data"
      )
      parser.add_argument(
          "--use-test-set",
          type="bool",
          default=False,
          help="Defaults to 80/10/10 train/test/valid split of train set. "
          "Else, will partition train data into 90/10 train/valid and "
          "use the test set as is.",
      )
      parser.add_argument(
          "--balance-data",
          type="bool",
          default=False,
          help="Balances the data so there are equal numbers of OK and NOT "
          "OK training data",
      )
      return parser
  
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 1 for calling the WikiToxicCommentsTeacher obj's underlying member method code with example usage: obj.add_cmdline_args(cls, parser, partial_opt) and returns: parser