code: def get_single_task_multimodal_tabular_data():
      """Create MultiModalData object with two tables"""
      task = Task(TaskTypesEnum.classification)
  
      # Create features table
      features_first = np.array(
          [
              [0, "  a"],
              [1, " a "],
              [2, "  b"],
              [3, np.nan],
              [4, "  a"],
              [5, "  b"],
              [6, "b  "],
              [7, "  c"],
              [8, " c "],
          ],
          dtype=object,
      )
      features_second = np.array(
          [
              [10, "  a"],
              [11, " a "],
              [12, "  b"],
              [13, " a "],
              [14, "  a"],
              [15, "  b"],
              [16, "b  "],
              [17, "  c"],
              [18, " c "],
          ],
          dtype=object,
      )
  
      target = np.array(
          [
              "true",
              "false",
              "true",
              "false",
              "false",
              "false",
              "false",
              "true",
              "true",
          ],
          dtype=str,
      )
  
      input_first = InputData(
          idx=np.arange(0, 9),
          features=features_first,
          target=target,
          task=task,
          data_type=DataTypesEnum.table,
      )
      input_second = InputData(
          idx=np.arange(0, 9),
          features=features_second,
          target=target,
          task=task,
          data_type=DataTypesEnum.table,
      )
  
      mm_data = MultiModalData(
          {
              "data_source_table/first": input_first,
              "data_source_table/second": input_second,
          }
      )
  
      pipeline = get_multimodal_pipeline()
      return mm_data, pipeline
  
file_path: FEDOT/test/unit/multimodal/data_generators.py
imports: import numpy
  from fedot.core.data.data import InputData
  from fedot.core.data.multi_modal import MultiModalData
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.core.repository.tasks import TaskTypesEnum, Task
label_desc: Use image node_id 2 for calling a global function with example usage: get_single_task_multimodal_tabular_data() and returns: mm_data,  pipeline