--- a
+++ b/dataset.py
@@ -0,0 +1,30 @@
+import os
+from PIL import Image
+from torch.utils.data import Dataset
+import numpy as np
+
+class ChestDataset(Dataset):
+    def __init__(self, image_dir, mask_dir, transform=None):
+        super(ChestDataset, self).__init__()
+        self.image_dir = image_dir
+        self.mask_dir = mask_dir
+        self.transform = transform
+        self.images = os.listdir(image_dir)
+        self.masked_images = os.listdir(mask_dir)
+
+    def __len__(self):
+        return len(self.images)
+
+    def __getitem__(self, index):
+        img_path = os.path.join(self.image_dir, self.images[index])
+        mask_path = os.path.join(self.mask_dir, self.masked_images[index])
+        image = np.array(Image.open(img_path).convert('RGB'), dtype=np.float32)
+        mask = np.array(Image.open(mask_path).convert('L'), dtype=np.float32)
+        #mask[mask == 255.0] = 1.0
+
+        if self.transform is not None:
+            augmentation = self.transform(image=image, mask=mask)
+            image = augmentation['image']
+            mask = augmentation['mask']
+
+        return image, mask