--- a
+++ b/PVQA/dataset.py
@@ -0,0 +1,70 @@
+from torch.utils.data import Dataset
+import pandas as pd
+import os
+from PIL import Image
+from torchvision import transforms
+from collections import defaultdict
+import torch
+import pickle
+
+class ImageTextContrastiveCollator:
+    def __init__(self):
+        return
+    def __call__(self, batch):
+        inputs = defaultdict(list)
+        for data in batch:
+            inputs['image'].append(data['image'])
+            inputs['question'].append(data['question'])
+            inputs['answer'].append(data['answer'])
+            
+
+        # inputs['image'] = torch.stack(inputs['image'])
+
+        return inputs
+pkl_path = '../PathVQA/pvqa/qas/test_vqa.pkl'
+class PVQAdataset(Dataset):
+    def __init__(self):
+        # self.df = pd.read_csv(csv_path)
+        with open(pkl_path, 'rb') as f:
+            self.data = pickle.load(f)
+       
+        normalize = transforms.Normalize(
+            (0.48145466, 0.4578275, 0.40821073), (0.26862954, 0.26130258, 0.27577711)
+        )
+
+        self.transform = transforms.Compose(
+            [
+                transforms.RandomResizedCrop(224, scale=(0.2, 1.0)),
+                transforms.RandomHorizontalFlip(),
+                transforms.ToTensor(),
+                normalize,
+            ]
+        )
+        
+    def __len__(self):
+        return len(self.data)
+    def __getitem__(self, index):
+        question = self.data[index]['sent']
+        answer = list(self.data[index]['label'].keys())[0]
+        img_path = os.path.join('../PathVQA/pvqa/images', 'test', self.data[index]['img_id'])+".jpg"
+        return {
+            "image": img_path,
+            "question": question,
+            "answer": answer,
+        }
+        # return {
+        #     "image": img_path,
+        #     "text_input": caption,
+        #     "text_output": caption,
+        # }
+         
+        
+        
+if __name__ == '__main__':
+    test = PVQAdataset()
+    print(test.__len__())
+    print(test.__getitem__(0))
+    print(test.__getitem__(1))
+    
+    
+    
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