diff --git a/sklearn/datasets/_base.py b/sklearn/datasets/_base.py
index 850bdd16437ed..8a5b7a34d7f89 100644
--- a/sklearn/datasets/_base.py
+++ b/sklearn/datasets/_base.py
@@ -442,6 +442,10 @@ def load_wine(*, return_X_y=False, as_frame=False):
     Features            real, positive
     =================   ==============
 
+    The copy of UCI ML Wine Data Set dataset is downloaded and modified to fit
+    standard format from:
+    https://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data
+
     Read more in the :ref:`User Guide <wine_dataset>`.
 
     Parameters
@@ -483,10 +487,9 @@ def load_wine(*, return_X_y=False, as_frame=False):
             The full description of the dataset.
 
     (data, target) : tuple if ``return_X_y`` is True
-
-    The copy of UCI ML Wine Data Set dataset is downloaded and modified to fit
-    standard format from:
-    https://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data
+        A tuple of two ndarrays by default. The first contains a 2D array of shape
+        (178, 13) with each row representing one sample and each column representing
+        the features. The second array of shape (178,) contains the target samples.
 
     Examples
     --------
diff --git a/sklearn/tests/test_docstrings.py b/sklearn/tests/test_docstrings.py
index d3def625c6509..3fa3adebfc2fb 100644
--- a/sklearn/tests/test_docstrings.py
+++ b/sklearn/tests/test_docstrings.py
@@ -14,7 +14,6 @@
 FUNCTION_DOCSTRING_IGNORE_LIST = [
     "sklearn.covariance._shrunk_covariance.ledoit_wolf",
     "sklearn.datasets._base.load_sample_image",
-    "sklearn.datasets._base.load_wine",
     "sklearn.datasets._covtype.fetch_covtype",
     "sklearn.datasets._kddcup99.fetch_kddcup99",
     "sklearn.datasets._lfw.fetch_lfw_pairs",