code: def load_dataset(name):
      with open(path.join(DATA_DIR, "%s_input.json" % name), "r") as j:
          data_input = json.load(j)
  
      with open(path.join(DATA_DIR, "%s_output.json" % name), "r") as j:
          expected = json.load(j)
  
      return data_input, expected
  
file_path: pyLDAvis/tests/pyLDAvis/test_prepare.py
imports: import json
  import os.path
  import funcy
  from numpy.testing import assert_array_equal
  import numpy
  import pandas
  from pandas.testing import assert_frame_equal
  from pyLDAvis import prepare
label_desc: Use image node_id 1 for calling a global function with example usage: load_dataset(name) and returns: data_input,  expected