code: def load_data_scientist_salary(train_path, test_path):
      train_df = pd.read_csv(train_path, index_col=0)
      test_df = pd.read_csv(test_path, index_col=None)
      train_df.drop("company_name_encoded", axis=1, inplace=True)
      test_df.drop("company_name_encoded", axis=1, inplace=True)
      return train_df, test_df, "salary"
  
file_path: autogluon/examples/automm/text_prediction/run_competition.py
imports: import os
  import json
  import argparse
  import pandas
  import numpy
  import random
  from autogluon.tabular import TabularPredictor
  from autogluon.multimodal import MultiModalPredictor
  from autogluon.tabular.configs.hyperparameter_configs import get_hyperparameter_config
label_desc: Use image node_id 4 for calling a global function with example usage: load_data_scientist_salary(train_path, test_path) and returns: train_df,  test_df,  str