diff --git a/dataset/README_MINIGPTv2_FINETUNE.md b/dataset/README_MINIGPTv2_FINETUNE.md
index 5a539f4..b29138d 100644
--- a/dataset/README_MINIGPTv2_FINETUNE.md
+++ b/dataset/README_MINIGPTv2_FINETUNE.md
@@ -15,7 +15,7 @@ RefCOCOg | <a href="https://bvisionweb1.cs.unc.edu/licheng/referit/data/refcocog
 OKVQA | <a href="https://storage.googleapis.com/sfr-vision-language-research/LAVIS/datasets/okvqa/okvqa_train.json"> annotations </a>
 AOK-VQA | <a href="https://storage.googleapis.com/sfr-vision-language-research/LAVIS/datasets/aokvqa/aokvqa_v1p0_train.json"> annotations </a>
 OCR-VQA | <a href="https://drive.google.com/drive/folders/1_GYPY5UkUy7HIcR0zq3ZCFgeZN7BAfm_?usp=sharing"> annotations </a>
-GQA | <a href="https://downloads.cs.stanford.edu/nlp/data/gqa/images.zip">images</a>  &nbsp;&nbsp; <a href="/ibex/project/c2133/minigpt4_v2_dataset/gqa/annotations/train_balanced_questions.json"> annotations </a>
+GQA | <a href="https://downloads.cs.stanford.edu/nlp/data/gqa/images.zip">images</a>  &nbsp;&nbsp; <a href="https://storage.googleapis.com/sfr-vision-language-research/LAVIS/datasets/gqa/train_balanced_questions.json"> annotations </a>
 Filtered flickr-30k |  <a href="https://drive.google.com/drive/folders/19c_ggBI77AvdtYlPbuI0ZpnPz73T5teX?usp=sharing"> annotations </a>
 Multi-task conversation |  <a href="https://drive.google.com/file/d/11HHqB2c29hbSk-WLxdta-nG8UCUrcCN1/view?usp=sharing"> annotations </a> 
 Filtered unnatural instruction |  <a href="https://drive.google.com/file/d/1lXNnBcb5WU-sc8Fe2T2N8J0NRw4sBLev/view?usp=sharing"> annotations </a>
diff --git a/eval_scripts/EVAL_README.md b/eval_scripts/EVAL_README.md
index 9285f31..d3b7a8a 100644
--- a/eval_scripts/EVAL_README.md
+++ b/eval_scripts/EVAL_README.md
@@ -1,7 +1,19 @@
 ## Evaluation Instruction for MiniGPT-v2
 
 ### Data preparation
+Images download
+Image source | Download path
+--- | :---:
+OKVQA| <a href="https://drive.google.com/drive/folders/1jxIgAhtaLu_YqnZEl8Ym11f7LhX3nptN?usp=sharing">annotations</a> &nbsp;&nbsp;  <a href="http://images.cocodataset.org/zips/train2017.zip"> images</a>
+gqa | <a href="https://drive.google.com/drive/folders/1-dF-cgFwstutS4qq2D9CFQTDS0UTmIft?usp=drive_link">annotations</a> &nbsp;&nbsp;  <a href="https://downloads.cs.stanford.edu/nlp/data/gqa/images.zip">images</a> 
+hateful meme |  <a href="https://github.com/faizanahemad/facebook-hateful-memes">images and annotations</a> 
+iconqa |  <a href="https://iconqa.github.io/#download">images and annotation</a>
+vizwiz |  <a href="https://vizwiz.org/tasks-and-datasets/vqa/">images and annotation</a>
+RefCOCO | <a href="https://bvisionweb1.cs.unc.edu/licheng/referit/data/refcoco.zip"> annotations </a>
+RefCOCO+ | <a href="https://bvisionweb1.cs.unc.edu/licheng/referit/data/refcoco+.zip"> annotations </a>
+RefCOCOg | <a href="https://bvisionweb1.cs.unc.edu/licheng/referit/data/refcocog.zip"> annotations </a>
 
+### Evaluation dataset structure
 
 
 ### environment setup
diff --git a/eval_scripts/eval_vqa.py b/eval_scripts/eval_vqa.py
index 3d5cdfc..cd25b3d 100644
--- a/eval_scripts/eval_vqa.py
+++ b/eval_scripts/eval_vqa.py
@@ -47,7 +47,7 @@ model.eval()
 os.makedirs('results', exist_ok=True)
 
 if 'okvqa' in args.dataset:
-    evaluation_annntation_path = os.path.join(args.eval_file_path, "test_split.json")
+    evaluation_annntation_path = os.path.join(args.eval_file_path, "okvqa_test_split.json")
     with open(evaluation_annntation_path) as f:
         ok_vqa_test_split = json.load(f)