diff --git a/src/example.sh b/src/example.sh
index 05eb0fa..ca3d57a 100644
--- a/src/example.sh
+++ b/src/example.sh
@@ -28,7 +28,7 @@ python train.py  \
 
 
 ### Inference
-# Default dataset and checkpoint directories
+# Default dataset and checkpoint directories (MSCOCO, COMIC-256)
 python infer.py
 
 # Custom dataset and checkpoint directories
@@ -37,3 +37,16 @@ python infer.py  \
 	--dataset_dir '/home/jiahuei/Documents/3_Datasets/MSCOCO_captions'   \
 	--gpu '1'
 
+# InstaPIC
+python infer.py  \
+	--infer_checkpoints_dir 'insta/word_add_softmax_h8_tie_lstm_run_01'  \
+	--annotations_file 'insta_testval_raw.json'
+
+# Custom InstaPIC directory
+python infer.py  \
+	--infer_checkpoints_dir 'insta/word_add_softmax_h8_tie_lstm_run_01'  \
+	--dataset_dir '/home/jiahuei/Documents/3_Datasets/InstaPIC'  \
+	--annotations_file 'insta_testval_raw.json'
+
+
+
diff --git a/src/infer.py b/src/infer.py
index c8e5831..b1ed983 100644
--- a/src/infer.py
+++ b/src/infer.py
@@ -35,10 +35,7 @@ def create_parser():
         '--infer_checkpoints', type=str, default='all',
         help='The checkpoint numbers to be evaluated. Comma-separated.')
     parser.add_argument(
-        '--annotations_file', type=str,
-        default=pjoin(
-            os.path.dirname(CURR_DIR), 'common', 'coco_caption',
-            'annotations', 'captions_val2014.json'),
+        '--annotations_file', type=str, default='captions_val2014.json',
         help='The annotations / reference file for calculating scores.')
     parser.add_argument(
         '--dataset_dir', type=str,
@@ -86,6 +83,10 @@ def create_parser():
     default_exp_dir = pjoin(os.path.dirname(CURR_DIR), 'experiments')
     args.infer_checkpoints_dir = pjoin(default_exp_dir, args.infer_checkpoints_dir)
     
+    args.annotations_file = pjoin(
+            os.path.dirname(CURR_DIR),
+            'common', 'coco_caption', 'annotations', args.annotations_file)
+    
     if args.infer_checkpoints == 'all':
         files = sorted(os.listdir(args.infer_checkpoints_dir), key=nat_key)
         files = [f for f in files if ckpt_prefix in f]