diff --git a/sklearn/datasets/twenty_newsgroups.py b/sklearn/datasets/twenty_newsgroups.py
index 2a30efac03572..dd47d9962c42f 100644
--- a/sklearn/datasets/twenty_newsgroups.py
+++ b/sklearn/datasets/twenty_newsgroups.py
@@ -216,11 +216,13 @@ def fetch_20newsgroups(data_home=None, subset='train', categories=None,
 
     Returns
     -------
-    bunch : Bunch object
-        bunch.data: list, length [n_samples]
-        bunch.target: array, shape [n_samples]
-        bunch.filenames: list, length [n_classes]
-        bunch.DESCR: a description of the dataset.
+    bunch : Bunch object with the following attribute:
+        - bunch.data: list, length [n_samples]
+        - bunch.target: array, shape [n_samples]
+        - bunch.filenames: list, length [n_samples]
+        - bunch.DESCR: a description of the dataset.
+        - bunch.target_names: a list of categories of the returned data,
+          length [n_classes]. This depends on the `categories` parameter.
     """
 
     data_home = get_data_home(data_home=data_home)
@@ -369,11 +371,12 @@ def fetch_20newsgroups_vectorized(subset="train", remove=(), data_home=None,
 
     Returns
     -------
-    bunch : Bunch object
-        bunch.data: sparse matrix, shape [n_samples, n_features]
-        bunch.target: array, shape [n_samples]
-        bunch.target_names: list, length [n_classes]
-        bunch.DESCR: a description of the dataset.
+    bunch : Bunch object with the following attribute:
+        - bunch.data: sparse matrix, shape [n_samples, n_features]
+        - bunch.target: array, shape [n_samples]
+        - bunch.target_names: a list of categories of the returned data,
+          length [n_classes].
+        - bunch.DESCR: a description of the dataset.
 
     (data, target) : tuple if ``return_X_y`` is True