code: def convert_dataframe_to_bool(df):
      bool_df = df.copy()
      for col in ["toxicity"] + IDENTITY_COLUMNS:
          convert_to_bool(bool_df, col)
      return bool_df
  
file_path: detoxify/model_eval/compute_bias_metric.py
imports: import argparse
  import json
  import numpy
  import pandas
  from sklearn.metrics import roc_auc_score
  from utils import compute_auc, compute_subgroup_auc
label_desc: Use image node_id 5 for calling a global function with example usage: convert_dataframe_to_bool(df) and returns: bool_df