code: def unzip_dataset(dataset):
      return nest.flatten(
          [
              dataset.map(lambda *a: nest.flatten(a)[index])
              for index in range(
                  len(nest.flatten(dataset_shape(dataset)))
              )
          ]
      )
  
file_path: autokeras/autokeras/utils/data_utils.py
imports: import numpy
  import tensorflow
  from tensorflow import nest
label_desc: Use image node_id 5 for calling a global function with example usage: unzip_dataset(dataset) and returns: nest