diff --git a/doc/introduction/data.rst b/doc/introduction/data.rst
index 99fe2b919db..0fc53abae8c 100644
--- a/doc/introduction/data.rst
+++ b/doc/introduction/data.rst
@@ -35,7 +35,7 @@ The :func:`~pennylane.data.load` function returns a ``list`` with the desired da
 >>> H2data = H2datasets[0]
 
 We can load datasets for multiple parameter values by providing a list of values instead of a single value.
-To load all possible values, use the special value :const:`~pennylane.data.FULL`.
+To load all possible values, use the special value :const:`~pennylane.data.FULL` or the string 'full':
 
 >>> H2datasets = qml.data.load("qchem", molname="H2", basis="full", bondlength=[0.5, 1.1])
 >>> print(H2datasets)
diff --git a/docker/pennylane.dockerfile b/docker/pennylane.dockerfile
index a0d3e74702a..83f00a7c214 100644
--- a/docker/pennylane.dockerfile
+++ b/docker/pennylane.dockerfile
@@ -46,7 +46,7 @@ RUN pip install pytest pytest-cov pytest-mock flaky
 RUN pip install -i https://test.pypi.org/simple/ pennylane-lightning --pre --upgrade
 # hotfix, remove when pyscf 2.1 is released (currently no wheel for python3.10)
 RUN pip install openfermionpyscf || true
-RUN pip install hdf5 || true
+RUN pip install hdf5 fsspec aiohttp || true
 RUN make test && make coverage
 
 # create Second small build.
diff --git a/pennylane/data/__init__.py b/pennylane/data/__init__.py
index 463e4d9c647..4513798cca5 100644
--- a/pennylane/data/__init__.py
+++ b/pennylane/data/__init__.py
@@ -106,7 +106,7 @@
     >>> dataset = qml.data.Dataset(hamiltonian = qml.data.attribute(
             hamiltonian,
             doc="The hamiltonian of the system"))
-    >>> dataset.eigen = attribute(
+    >>> dataset.eigen = qml.data.attribute(
             {"eigvals": eigvals, "eigvecs": eigvecs},
             doc="Eigenvalues and eigenvectors of the hamiltonain")
 
diff --git a/pennylane/data/attributes/array.py b/pennylane/data/attributes/array.py
index 550d5c9f90d..b1c414041f5 100644
--- a/pennylane/data/attributes/array.py
+++ b/pennylane/data/attributes/array.py
@@ -30,8 +30,8 @@ class DatasetArray(DatasetAttribute[HDF5Array, numpy.ndarray, ArrayLike]):
 
     type_id = "array"
 
-    def __post_init__(self, value: ArrayLike, info: Optional[AttributeInfo]) -> None:
-        super().__post_init__(value, info)
+    def __post_init__(self, value: ArrayLike) -> None:
+        super().__post_init__(value)
 
         array_interface = get_interface(value)
         if array_interface not in ("numpy", "autograd"):
diff --git a/pennylane/data/attributes/dictionary.py b/pennylane/data/attributes/dictionary.py
index 94f21c8bd12..ecac3c77623 100644
--- a/pennylane/data/attributes/dictionary.py
+++ b/pennylane/data/attributes/dictionary.py
@@ -38,7 +38,8 @@ class DatasetDict(  # pylint: disable=too-many-ancestors
 
     type_id = "dict"
 
-    def __post_init__(self, value: typing.Mapping[str, T], info):
+    def __post_init__(self, value: typing.Mapping[str, T]):
+        super().__post_init__(value)
         self.update(value)
 
     @classmethod
diff --git a/pennylane/data/attributes/list.py b/pennylane/data/attributes/list.py
index 9f6218e0d0a..420be6f3ad8 100644
--- a/pennylane/data/attributes/list.py
+++ b/pennylane/data/attributes/list.py
@@ -34,7 +34,9 @@ class DatasetList(  # pylint: disable=too-many-ancestors
 
     type_id = "list"
 
-    def __post_init__(self, value: typing.Iterable[T], info):
+    def __post_init__(self, value: typing.Iterable[T]):
+        super().__post_init__(value)
+
         self.extend(value)
 
     @classmethod
diff --git a/pennylane/data/attributes/sparse_array.py b/pennylane/data/attributes/sparse_array.py
index ad7d71c80d7..246f94e06bd 100644
--- a/pennylane/data/attributes/sparse_array.py
+++ b/pennylane/data/attributes/sparse_array.py
@@ -51,8 +51,8 @@ class DatasetSparseArray(Generic[SparseT], DatasetAttribute[HDF5Group, SparseT,
 
     type_id = "sparse_array"
 
-    def __post_init__(self, value: SparseT, info) -> None:
-        super().__post_init__(value, info)
+    def __post_init__(self, value: SparseT) -> None:
+        super().__post_init__(value)
         self.info["sparse_array_class"] = type(value).__qualname__
 
     @property
diff --git a/pennylane/data/base/attribute.py b/pennylane/data/base/attribute.py
index 63f2540c003..a8a96c67670 100644
--- a/pennylane/data/base/attribute.py
+++ b/pennylane/data/base/attribute.py
@@ -282,7 +282,7 @@ def _value_init(
 
         self._bind = self._set_value(value, info, parent, key)
         self._check_bind()
-        self.__post_init__(value, self.info)
+        self.__post_init__(value)
 
     @property
     def info(self) -> AttributeInfo:
@@ -318,7 +318,7 @@ def consumes_types(cls) -> typing.Iterable[type]:
         """
         return ()
 
-    def __post_init__(self, value: InitValueType, info: Optional[AttributeInfo]) -> None:
+    def __post_init__(self, value: InitValueType) -> None:
         """Called after __init__(), only during value initialization. Can be implemented
         in subclasses that require additional initialization."""
 
diff --git a/pennylane/data/base/dataset.py b/pennylane/data/base/dataset.py
index a4fad7d75bf..769a418d976 100644
--- a/pennylane/data/base/dataset.py
+++ b/pennylane/data/base/dataset.py
@@ -66,7 +66,6 @@ def field(  # pylint: disable=too-many-arguments, unused-argument
     attribute_type: Union[Type[DatasetAttribute[HDF5Any, T, Any]], Literal[UNSET]] = UNSET,
     doc: Optional[str] = None,
     py_type: Optional[Any] = None,
-    is_param: bool = False,
     **kwargs,
 ) -> Any:
     """Used to define fields on a declarative Dataset.
@@ -82,7 +81,7 @@ def field(  # pylint: disable=too-many-arguments, unused-argument
 
     return Field(
         cast(Type[DatasetAttribute[HDF5Any, T, T]], attribute_type),
-        AttributeInfo(doc=doc, py_type=py_type, is_param=is_param, **kwargs),
+        AttributeInfo(doc=doc, py_type=py_type, **kwargs),
     )