class_docstr: Filter samples based on gender bias
  
  for example in mode 'man'::
  
      sample 1: "There is a boy.", score: 1
      sample 2: "There is a girl.", score: 1
      sample 3: "There are boys and girls.", score: 0
code: def get_data(path):
      # get the name dictionary
  
      for dic in read_json(path):
          _, dic = dic
          return dic["men"], dic["women"]
  
file_path: textflint/textflint/generation/subpopulation/UT/prejudice.py
imports: from flashtext import KeywordProcessor
  from ..subpopulation import SubPopulation
  from ....common.settings import PREJUDICE_PATH
  from ....common.utils.install import download_if_needed
  from ....common.utils.file_io import read_json
label_desc: Use image node_id 3 for calling the PrejudiceSubPopulation obj's underlying member method code with example usage: obj.get_data(path) and returns: dic,  dic