class_docstr: Dictionary with InputData as values and primary node names as keys 
class_docstr_tok: ["Dictionary","with","InputData","as","values","and","primary","node","names","as","keys"]
code: def data_type(self):
      return [
          input_data.data_type for input_data in iter(self.values())
      ]
  
imports: from __future__ import annotations
  from functools import partial
  from typing import List, Optional, Union, Dict
  import numpy
  from fedot.core.data.data import InputData
  from fedot.core.data.data import process_target_and_features, array_to_input_data, get_df_from_csv, PathType, POSSIBLE_TABULAR_IDX_KEYWORDS, POSSIBLE_TS_IDX_KEYWORDS
  from fedot.core.data.data_detection import TextDataDetector, TimeSeriesDataDetector
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.core.repository.tasks import Task, TaskTypesEnum
label_desc: Use image node_id 7 for calling the MultiModalData obj's underlying member method code with example usage: obj.data_type() and returns: unknown