diff --git a/python/lsst/daf/butler/_butler.py b/python/lsst/daf/butler/_butler.py
index d687630b69..0535ae2e96 100644
--- a/python/lsst/daf/butler/_butler.py
+++ b/python/lsst/daf/butler/_butler.py
@@ -1459,7 +1459,7 @@ def run(self) -> str | None:
     @property
     def dataset_types(self) -> ButlerDatasetTypes:
         """Object with methods for modifying and querying dataset types
-        (`~lsst.daf.butler.ButlerDatasettypes`).
+        (`~lsst.daf.butler.ButlerDatasetTypes`).
 
         Use of this object is preferred over `registry` wherever possible.
         """
@@ -1666,7 +1666,7 @@ def query_datasets(
 
         Returns
         -------
-        refs : `.queries.DatasetRefQueryResults`
+        refs : `list` [`DatasetRef`]
             Dataset references matching the given query criteria.  Nested data
             IDs are guaranteed to include values for all implied dimensions
             (i.e. `DataCoordinate.hasFull` will return `True`).
@@ -1861,10 +1861,9 @@ def _query_all_datasets(
         at_least_dimensions : `Iterable` [ `str` ] or `DimensionGroup`,\
                 optional
             Dimensions that returned dataset types must have as a subset.
-        at_least_dimensions : `Iterable` [ `str` ] or `DimensionGroup`,\
-                optional
+        exact_dimensions : `Iterable` [ `str` ] or `DimensionGroup`, optional
             Dimensions that returned dataset types must have exactly.
-        with_storage_class : `str` or `~collections.abc.Iterable` [ `str` ],\
+        storage_class : `str` or `~collections.abc.Iterable` [ `str` ],\
                 or `StorageClass` or \
                 `~collections.abc.Iterable` [ `StorageClass` ], optional
             Storage classes or storage class names that returned dataset types
diff --git a/python/lsst/daf/butler/queries/_query.py b/python/lsst/daf/butler/queries/_query.py
index c03e8704f2..c6e28d142e 100644
--- a/python/lsst/daf/butler/queries/_query.py
+++ b/python/lsst/daf/butler/queries/_query.py
@@ -474,10 +474,9 @@ def all_datasets(
         at_least_dimensions : `Iterable` [ `str` ] or `DimensionGroup`,\
                 optional
             Dimensions that returned dataset types must have as a subset.
-        at_least_dimensions : `Iterable` [ `str` ] or `DimensionGroup`,\
-                optional
+        exact_dimensions : `Iterable` [ `str` ] or `DimensionGroup`, optional
             Dimensions that returned dataset types must have exactly.
-        with_storage_class : `str` or `~collections.abc.Iterable` [ `str` ],\
+        storage_class : `str` or `~collections.abc.Iterable` [ `str` ],\
                 or `StorageClass` or \
                 `~collections.abc.Iterable` [ `StorageClass` ], optional
             Storage classes or storage class names that returned dataset types
@@ -502,7 +501,7 @@ def all_datasets(
         """
         raise NotImplementedError()
 
-    def dataset_types(
+    def dataset_types(  # numpydoc ignore=PR01
         self,
         collections: str | Iterable[str] | None = None,
         *,