class_docstr: Tests initialization and instance methods of the ``Dataset`` class.
docstr: Test that identifiers whose attribute is missing on the
  dataset will not be in the returned dict.
docstr_tok: ["Test","that","identifiers","whose","attribute","is","missing","on","the","dataset","will","not","be","in","the","returned","dict","."]
code: def test_identifiers_base_missing(self):
      """Test that identifiers whose attribute is missing on the
      dataset will not be in the returned dict."""
      ds = Dataset(x="1", identifiers=("x", "y"))
  
      assert ds.identifiers == {"x": "1"}
  
imports: from numbers import Number
  from pathlib import Path
  from typing import ClassVar, Dict
  import numpy
  import pytest
  from pennylane.data import AttributeInfo, Dataset, DatasetJSON, DatasetNotWriteableError, DatasetScalar, attribute, field
  from pennylane.data.base.dataset import UNSET, _init_arg
  from pennylane.data.base.hdf5 import open_group
label_desc: Use image node_id 17 for calling the TestDataset obj's underlying member method code with example usage: obj.test_identifiers_base_missing() without return types