diff --git a/docs/source/examples/example_model.py b/docs/source/examples/example_model.py
index f7197a48..b946f487 100644
--- a/docs/source/examples/example_model.py
+++ b/docs/source/examples/example_model.py
@@ -6,6 +6,7 @@ from torchvision.datasets import MNIST
 import torchvision.transforms as transforms
 import torch
 import torch.nn.functional as F
+import os
 
 
 class ExampleModel(RootModule):
@@ -177,7 +178,7 @@ class ExampleModel(RootModule):
         return self._test_dataloader
 
     @staticmethod
-    def add_model_specific_args(parent_parser):
+    def add_model_specific_args(parent_parser, root_dir):
         parser = HyperOptArgumentParser(strategy=parent_parser.strategy, parents=[parent_parser])
 
         # param overwrites
@@ -190,7 +191,7 @@ class ExampleModel(RootModule):
         parser.add_argument('--out_features', default=10)
 
         # data
-        parser.add_argument('--data_root', default='/Users/williamfalcon/Developer/personal/research_lib/research_proj/datasets/mnist', type=str)
+        parser.add_argument('--data_root', default=os.path.join(root_dir, 'mnist'), type=str)
 
         # training params (opt)
         parser.opt_list('--learning_rate', default=0.001, type=float, options=[0.0001, 0.0005, 0.001, 0.005],
diff --git a/docs/source/examples/fully_featured_trainer.py b/docs/source/examples/fully_featured_trainer.py
index 77b061b4..999b1c45 100644
--- a/docs/source/examples/fully_featured_trainer.py
+++ b/docs/source/examples/fully_featured_trainer.py
@@ -164,7 +164,7 @@ if __name__ == '__main__':
 
     # allow model to overwrite or extend args
     TRAINING_MODEL = AVAILABLE_MODELS[model_name]
-    parser = TRAINING_MODEL.add_model_specific_args(parent_parser)
+    parser = TRAINING_MODEL.add_model_specific_args(parent_parser, root_dir)
     hyperparams = parser.parse_args()
 
     # format GPU layout