diff --git a/data_pipeline/ntu_rgbd.py b/data_pipeline/ntu_rgbd.py
index c93051b..f259dd7 100755
--- a/data_pipeline/ntu_rgbd.py
+++ b/data_pipeline/ntu_rgbd.py
@@ -51,6 +51,10 @@ def make_dataset(root, has_skel, evaluation, split, subsample):
     vid_names = os.listdir(os.path.join(root, rgb_folder_name))
   vid_names = sorted(vid_names)
 
+  if len(vid_names) == 0:
+    raise BaseException('No files found. Make sure dataset is in: "{}"'.format(
+      root))
+
   if evaluation == 'cross-subject' and split != 'test':
     vid_names = [n for n in vid_names if int(n[9:12]) in train_cross_subject]
   elif evaluation == 'cross-subject' and split == 'test':
diff --git a/data_pipeline/pku_mmd.py b/data_pipeline/pku_mmd.py
index 96a6e9b..835921e 100755
--- a/data_pipeline/pku_mmd.py
+++ b/data_pipeline/pku_mmd.py
@@ -46,6 +46,10 @@ def make_dataset(root, evaluation, mode, folder_name=rgb_folder_name, subsample_
   vid_names_split = f[idx].split(', ')[:-1]
   vid_names = sorted(list(set(vid_names).intersection(set(vid_names_split))))
 
+  if len(vid_names) == 0:
+    raise BaseException('No files found. Make sure dataset is in: "{}"'.format(
+      root))
+  
   if mode == 0 and subsample_rate:
     # Subsample for training
     vid_names = vid_names[::subsample_rate]