diff --git a/eval_scripts/EVAL_README.md b/eval_scripts/EVAL_README.md
index 7d617e0..eae1dfb 100644
--- a/eval_scripts/EVAL_README.md
+++ b/eval_scripts/EVAL_README.md
@@ -60,13 +60,16 @@ export PYTHONPATH=$PYTHONPATH:/path/to/directory/of/MiniGPT-4
 ### start evalauting RefCOCO, RefCOCO+, RefCOCOg
 port=port_number
 cfg_path=/path/to/eval_configs/minigptv2_eval.yaml
-eval_file_path=/path/to/eval/image/path
 save_path=/path/to/save/path
 ckpt=/path/to/evaluation/checkpoint
+split=/evaluation/data/split/type  
+dataset=/data/type 
 
-
-split=/evaluation/data/split/type  # e.g. val, testA, testB, test
-dataset=/data/type  #refcoco, refcoco+, refcocog
+dataset | split
+--- | :---:
+refcoco | val, testA, testB
+refcoco+ | val, testA, testB
+refcocog | val, test
 
 ```
 torchrun --master-port ${port} --nproc_per_node 1 eval_ref.py \
@@ -80,17 +83,26 @@ torchrun --master-port ${port} --nproc_per_node 1 eval_ref.py \
 
 port=port_number
 cfg_path=/path/to/eval_configs/minigptv2_eval.yaml
-eval_file_path=/path/to/eval/image/path
+eval_file_path=/path/to/eval/annotation/path
+image_path=/path/to/eval/image/path
 save_path=/path/to/save/path
 ckpt=/path/to/evaluation/checkpoint
+split=/evaluation/data/split/type
+dataset=/data/type 
 
+dataset | image_path | eval_file_path
+--- | :---:
+okvqa | coco_2017 | /path/to/okvqa/folder
+vizwiz | vizwiz_images | /path/to/vizwiz/folder
+iconvqa | iconvqa_images | /path/to/iconvqa/folder
+gqa | gqa_images | /path/to/gqa/folder
+vsr |  vsr_images | None
+hateful meme | hm_images | /path/to/hateful_mem/folder
 
-split=/evaluation/data/split/type  # e.g. val,test
-dataset=/data/type  # vqa data types: okvqa, vizwiz, iconvqa, gqa, vsr, hm
 
 ```
-torchrun --master-port ${port} --nproc_per_node 1 eval_ref.py \
- --cfg-path ${cfg_path} --img_path ${IMG_PATH} --eval_file_path ${eval_file_path} --save_path ${save_path} \
+torchrun --master-port ${port} --nproc_per_node 1 eval_vqa.py \
+ --cfg-path ${cfg_path} --img_path ${image_path} --eval_file_path ${eval_file_path} --save_path ${save_path} \
  --ckpt ${ckpt} --split ${split}  --dataset ${dataset} --lora_r 64 --lora_alpha 16 \
  --batch_size 10 --max_new_tokens 20 --resample
 ```
diff --git a/eval_scripts/eval_vqa.py b/eval_scripts/eval_vqa.py
index cd25b3d..0ec4cf6 100644
--- a/eval_scripts/eval_vqa.py
+++ b/eval_scripts/eval_vqa.py
@@ -162,7 +162,7 @@ if 'gqa' in args.dataset:
         json.dump(minigpt4_predict, f)
 
 if 'vsr' in args.dataset:
-    annotation = load_dataset(args.eval_file_path, split='test')
+    annotation = load_dataset("cambridgeltl/vsr_zeroshot", split='test')
     img_path = args.img_path
     data = VSREvalData(annotation, vis_processor, img_path)
     eval_dataloader = DataLoader(data, batch_size=args.batch_size, shuffle=False)