diff --git a/doc/source/ray-air/examples/torch_incremental_learning.ipynb b/doc/source/ray-air/examples/torch_incremental_learning.ipynb
index c333bb7a3..28436fb27 100644
--- a/doc/source/ray-air/examples/torch_incremental_learning.ipynb
+++ b/doc/source/ray-air/examples/torch_incremental_learning.ipynb
@@ -246,7 +246,7 @@
     "This will allow us to apply built-in preprocessors to the Ray Dataset and allow Ray Datasets to be used with Ray AIR Predictors.\n",
     " <!-- and also means that any transformations done to the images can be done in a zero-copy fashion. -->\n",
     "\n",
-    "For this example, since we are just working with MNIST dataset, which is small, we use the [`SimpleTorchDataSource`](https://docs.ray.io/en/master/data/package-ref.html?highlight=SimpleTorchDatasource#ray.data.datasource.SimpleTorchDatasource) which just loads the full MNIST dataset into memory.\n",
+    "For this example, since we are just working with MNIST dataset, which is small, we use the {py:class}`~ray.data.datasource.SimpleTorchDatasource` which just loads the full MNIST dataset into memory.\n",
     "\n",
     "For loading larger datasets in a parallel fashion, you should use [Ray Dataset's additional read APIs](https://docs.ray.io/en/master/data/dataset.html#supported-input-formats) to load data from parquet, csv, image files, and more!"
    ]
diff --git a/python/ray/util/actor_group.py b/python/ray/util/actor_group.py
index 6324ee85f..bf964789a 100644
--- a/python/ray/util/actor_group.py
+++ b/python/ray/util/actor_group.py
@@ -56,7 +56,7 @@ class ActorGroupMethod:
     f"in https://docs.ray.io/en/{get_ray_doc_version()}/ray-more-libs/multiprocessing.html. "  # noqa: E501
     "For stateful/actor processing such as batch prediction, use "
     "Datasets.map_batches(compute=ActorPoolStrategy, ...), see details in "
-    f"https://docs.ray.io/en/{get_ray_doc_version()}/data/package-ref.html#ray.data.Dataset.map_batches."  # noqa: E501
+    f"https://docs.ray.io/en/{get_ray_doc_version()}/data/api/dataset.html#ray.data.Dataset.map_batches."  # noqa: E501
 )
 class ActorGroup:
     """Group of Ray Actors that can execute arbitrary functions.
diff --git a/python/ray/util/actor_pool.py b/python/ray/util/actor_pool.py
index ed14371ab..1799a71a8 100644
--- a/python/ray/util/actor_pool.py
+++ b/python/ray/util/actor_pool.py
@@ -10,7 +10,7 @@ from ray._private.utils import get_ray_doc_version
     f"in https://docs.ray.io/en/{get_ray_doc_version()}/ray-more-libs/multiprocessing.html. "  # noqa: E501
     "For stateful/actor processing such as batch prediction, use "
     "Datasets.map_batches(compute=ActorPoolStrategy, ...), see details in "
-    f"https://docs.ray.io/en/{get_ray_doc_version()}/data/package-ref.html#ray.data.Dataset.map_batches."  # noqa: E501
+    f"https://docs.ray.io/en/{get_ray_doc_version()}/data/api/dataset.html#ray.data.Dataset.map_batches."  # noqa: E501
 )
 @PublicAPI(stability="beta")
 class ActorPool: