diff --git a/bob/example/faceverify/dct_ubm.py b/bob/example/faceverify/dct_ubm.py
index 26fce1c53398e1e7506448c91a0d3631c133ae50..e18628857d146b24456146cd7280b5cbbca0408f 100644
--- a/bob/example/faceverify/dct_ubm.py
+++ b/bob/example/faceverify/dct_ubm.py
@@ -175,7 +175,7 @@ def main():
   models = {}
   for model_id in model_ids:
     # load images for the current model id
-    model_images = load_images(atnt_db, group = 'dev', purpose = 'enrol', client_id = model_id, database_directory = image_directory)
+    model_images = load_images(atnt_db, group = 'dev', purpose = 'enroll', client_id = model_id, database_directory = image_directory)
     models_for_current_id = {}
     # extract model features
     for key, image in model_images.items():
diff --git a/bob/example/faceverify/eigenface.py b/bob/example/faceverify/eigenface.py
index 1ead78fbe9246f4f2e2e10b1c84172c9f93bc855..6e61b82a4ddc17a9dfa3a155aa02b700603b4028 100644
--- a/bob/example/faceverify/eigenface.py
+++ b/bob/example/faceverify/eigenface.py
@@ -104,7 +104,7 @@ def main():
   ### extract eigenface features of model and probe images
 
   # load model and probe images
-  model_images = load_images(atnt_db, group = 'dev', purpose = 'enrol', database_directory = image_directory)
+  model_images = load_images(atnt_db, group = 'dev', purpose = 'enroll', database_directory = image_directory)
   probe_images = load_images(atnt_db, group = 'dev', purpose = 'probe', database_directory = image_directory)
 
   print("Extracting models")
diff --git a/bob/example/faceverify/gabor_graph.py b/bob/example/faceverify/gabor_graph.py
index 6ad9d78af9298fe466cc658429f7552f9022d62c..cffa74e1b501d5e4e38d25ce19eeca0fd487d638 100644
--- a/bob/example/faceverify/gabor_graph.py
+++ b/bob/example/faceverify/gabor_graph.py
@@ -101,7 +101,7 @@ def main():
   #####################################################################
   ### extract Gabor graph features for all model and probe images
   # load all model and probe images
-  model_images = load_images(atnt_db, group = 'dev', purpose = 'enrol', database_directory = image_directory)
+  model_images = load_images(atnt_db, group = 'dev', purpose = 'enroll', database_directory = image_directory)
   probe_images = load_images(atnt_db, group = 'dev', purpose = 'probe', database_directory = image_directory)
 
   print("Extracting models")
diff --git a/doc/examples.rst b/doc/examples.rst
index cef7f2e9aaf8aeb9bcf3263c9c9de13cb2dcaada..d4eed9b3b70e81240ed2cffdeb7c9168f0f42c27 100644
--- a/doc/examples.rst
+++ b/doc/examples.rst
@@ -305,7 +305,7 @@ For that purpose, a :py:class:`bob.learn.misc.MAP_GMMTrainer` is used:
   >>> gmm_trainer = bob.learn.misc.MAP_GMMTrainer()
   >>> # ... initialize GMM trainer ...
   >>> for model_id in model_ids:
-  ...   model_files = db.objects(groups = 'test', purposes = 'enroll', client_ids = model_id)
+  ...   model_files = db.objects(groups = 'dev', purposes = 'enroll', client_ids = model_id)
   ...   model_feature_set_list = []
   ...   for model_file in model_files:
   ...     # ... load model image ...
@@ -322,7 +322,7 @@ Afterward, the :py:class:`bob.learn.misc.GMMStats` statistics for each probe fil
 
 .. code-block:: python
 
-  >>> probe_image_files = atnt_db.objects(groups = 'test', purposes = 'probe', ...)
+  >>> probe_image_files = atnt_db.objects(groups = 'dev', purposes = 'probe', ...)
   >>> for probe_file in probe_image_files:
   ...   # ... load probe image ...
   ...   probe_dct_blocks = dct_extractor(probe_image_blocks)