class_docstr: Base class for Datasets.
docstr: Returns this dataset's parameters.
docstr_tok: ["Returns","this","dataset","'s","parameters","."]
code: def identifiers(
      self,
  ) -> typing.Mapping[str, str]:  # pylint: disable=function-redefined
      """Returns this dataset's parameters."""
      return {
          attr_name: getattr(self, attr_name)
          for attr_name in self.info.get(
              "identifiers", self.info.get("params", [])
          )
          if attr_name in self.bind
      }
  
imports: import typing
  from dataclasses import dataclass
  from pathlib import Path
  from types import MappingProxyType
  from typing import Any, ClassVar, Generic, List, Literal, Optional, Tuple, Type, TypeVar, Union, cast, get_origin
  from typing_extensions import dataclass_transform
  from pennylane.data.base import hdf5
  from pennylane.data.base.attribute import AttributeInfo, DatasetAttribute
  from pennylane.data.base.hdf5 import HDF5Any, HDF5Group, h5py
  from pennylane.data.base.mapper import MapperMixin, match_obj_type
  from pennylane.data.base.typing_util import UNSET, T
label_desc: Use image node_id 5 for calling the Dataset obj's underlying member method code with example usage: obj.identifiers() and returns: unknown