code: def get_scoring_data():
      file_path_train = join(
          "cases", "data", "scoring", "scoring_train.csv"
      )
      full_path_train = join(str(fedot_project_root()), file_path_train)
  
      # a dataset for a final validation of the composed model
      file_path_test = join(
          "cases", "data", "scoring", "scoring_test.csv"
      )
      full_path_test = join(str(fedot_project_root()), file_path_test)
      task = Task(TaskTypesEnum.classification)
      train = InputData.from_csv(full_path_train, task=task)
      test = InputData.from_csv(full_path_test, task=task)
  
      return train, test
  
file_path: FEDOT/examples/advanced/structural_analysis/dataset_access.py
imports: from os.path import join
  from fedot.core.data.data import InputData
  from fedot.core.data.data_split import train_test_data_setup
  from fedot.core.repository.tasks import Task, TaskTypesEnum
  from fedot.core.utils import fedot_project_root
label_desc: Use image node_id 1 for calling a global function with example usage: get_scoring_data() and returns: train,  test