code: def validate_additional_data_format(additional_data_batch):
      """Validate that the data is in the required format.
  
      Parameters
      ----------
      additional_data_batch
          The additional data of the batch. Result of VisionData's batch_to_additional_data
      Raises
      ------
      DeepchecksValueError
          If the images doesn't fit the required deepchecks format.
      """
      if not isinstance(additional_data_batch, Iterable):
          raise ValidationError(
              "The batch additional_data must be an iterable."
          )
  
file_path: deepchecks/deepchecks/vision/vision_data/format_validators.py
imports: from numbers import Number
  from typing import Iterable
  import numpy
  from deepchecks.core.errors import ValidationError
  from deepchecks.vision.vision_data import TaskType
  from deepchecks.vision.vision_data.utils import object_to_numpy, sequence_to_numpy
label_desc: Use image node_id 5 for calling a global function with example usage: validate_additional_data_format(additional_data_batch) without return types