code: def prepare_dataset(filename, allow_pickle=False):
      return NumpyDataset(filename[0], allow_pickle=allow_pickle)
  
file_path: gluon-nlp/tests/test_data_loading.py
imports: import os
  import sys
  import tempfile
  import pytest
  import mxnet
  import numpy
  from numpy.testing import assert_almost_equal
  from gluonnlp.data.loading import NumpyDataset, DatasetLoader
  from gluonnlp.data.sampler import SplitSampler, FixedBucketSampler
label_desc: Use image node_id 1 for calling a global function with example usage: prepare_dataset(filename, allow_pickle) and returns: NumpyDataset