code: def scoring_dataset():
      train_file_path, test_file_path = get_scoring_case_data_paths()
      train_data = InputData.from_csv(train_file_path)
      test_data = InputData.from_csv(test_file_path)
  
      return train_data, test_data
  
file_path: FEDOT/test/sensitivity/test_sensitivity.py
imports: import os
  from unittest.mock import patch
  from cases.data.data_utils import get_scoring_case_data_paths
  from fedot.core.data.data import InputData
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.structural_analysis.operations_hp_sensitivity.multi_operations_sensitivity import MultiOperationsHPAnalyze
label_desc: Use image node_id 1 for calling a global function with example usage: scoring_dataset() and returns: train_data,  test_data