code: def load_sample_text(file_path=None, label_col="label"):
      file_path = file_path or fedot_project_root().joinpath(
          "cases", "data", "spam", "spamham.csv"
      )
      df_text = pd.read_csv(file_path)
      df_text = df_text.sample(frac=1).reset_index(drop=True)
  
      features = df_text["text"].values.reshape(-1, 1)
      target = np.array(df_text[label_col])
      return features, target
  
file_path: FEDOT/test/unit/data/test_data_merge_text.py
imports: import numpy
  import pandas
  import pytest
  from fedot.core.data.data import OutputData
  from fedot.core.data.merge.data_merger import DataMerger
  from fedot.core.repository.dataset_types import DataTypesEnum
  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: load_sample_text(file_path, label_col) and returns: features,  target