class_docstr: Base class for Datasets.
code: def __repr__(self) -> str:
      attrs_str = [repr(attr) for attr in self.list_attributes()]
      if len(attrs_str) > 2:
          attrs_str = attrs_str[:2]
          attrs_str.append("...")
  
      attrs_str = "[" + ", ".join(attrs_str) + "]"
      repr_items = ", ".join(
          f"{name}: {value}"
          for name, value in {
              **self.identifiers,
              "attributes": attrs_str,
          }.items()
      )
  
      return f"<{type(self).__name__} = {repr_items}>"
  
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 17 for calling the Dataset obj's underlying member method code with example usage: obj.__repr__() and returns: str, type, str, repr_items, str