code: def create_input_data():
      train_file_path = os.path.join(
          "test", "data", "scoring", "scoring_train.csv"
      )
      test_file_path = os.path.join(
          "test", "data", "scoring", "scoring_test.csv"
      )
      full_train_file_path = os.path.join(
          str(fedot_project_root()), train_file_path
      )
      full_test_file_path = os.path.join(
          str(fedot_project_root()), test_file_path
      )
  
      train_data = InputData.from_csv(full_train_file_path)
      test_data = InputData.from_csv(full_test_file_path)
  
      return train_data, test_data
  
imports: import json
  import os
  from functools import reduce
  import numpy
  import pytest
  from sklearn.metrics import mean_squared_error
  from fedot.core.composer.metrics import RMSE
  from fedot.core.data.data import InputData
  from fedot.core.operations.atomized_model import AtomizedModel
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.utils import fedot_project_root
  from test.integration.utilities.test_pipeline_import_export import create_correct_path, create_func_delete_files
label_desc: Use image node_id 7 for calling a global function with example usage: create_input_data() and returns: train_data,  test_data