code: def get_dataset(hdf5_file_path):
      """Determine whether hdf5 file exists, and return the content of hdf5 file"""
      if not os.path.exists(hdf5_file_path):
          raise Exception("%s not existed" % hdf5_file_path)
      dataset = h5py.File(hdf5_file_path)
      return dataset
  
imports: import os
  import logging
  import numpy
  import sklearn.preprocessing
  import h5py
  import random
  from itertools import product
  from pymilvus import DataType
  from milvus_benchmark import config
label_desc: Use image node_id 7 for calling a global function with example usage: get_dataset(hdf5_file_path) and returns: dataset