code: def load(cls, path_or_filehandle):
      if isinstance(path_or_filehandle, str):
          with open(path_or_filehandle) as fh:
              input = arff.load(fh)
      else:
          input = arff.load(path_or_filehandle)
  
      dataset_name = input["relation"].replace("metafeatures_", "")
      metafeature_values = []
      for item in input["data"]:
          mf = MetaFeatureValue(*item)
          metafeature_values.append(mf)
  
      return cls(dataset_name, metafeature_values)
  
imports: from abc import ABCMeta, abstractmethod
  import time
  from io import StringIO
  import arff
  import scipy.sparse
label_desc: Use image node_id 5 for calling the DatasetMetafeatures obj's underlying member method code with example usage: obj.load(cls, path_or_filehandle) and returns: cls