code: def mnist_collate_labels(data):
      return {"labels": collate_without_model(data)[1]}
  
imports: import numpy
  import pytest
  import torch
  from hamcrest import assert_that, calling, equal_to, has_length, is_not, raises
  from torch.utils.data import DataLoader
  from deepchecks.core.errors import DatasetValidationError, ValidationError
  from deepchecks.vision.datasets.classification.mnist_torch import IterableTorchMnistDataset, collate_without_model
  from deepchecks.vision.datasets.detection import coco_torch
  from deepchecks.vision.datasets.segmentation import segmentation_coco
  from deepchecks.vision.utils.test_utils import replace_collate_fn_dataloader
  from deepchecks.vision.vision_data import TaskType, VisionData
  from deepchecks.vision.vision_data.utils import validate_vision_data_compatibility
  from tests.vision.conftest import run_update_loop
label_desc: Use image node_id 16 for calling a global function with example usage: mnist_collate_labels(data) and returns: dict