bug fix dataset.py

dataset.py

@@ -2,51 +2,41 @@
 import os
 import datasets
 
-class MyDataset(datasets.GeneratorBasedBuilder):
+class ForestSegmentationDataset(datasets.GeneratorBasedBuilder):
     def _info(self):
         return datasets.DatasetInfo(
             features=datasets.Features({
                 "sample_id": datasets.Value("string"),
-                "image": datasets.Image(),  # or datasets.Value("string") if you want paths
-                "mask": datasets.Image(),
+                "image": datasets.Image(),  # Path to all_bands.tif
+                "mask": datasets.Image(),   # Path to mask.tif
             }),
         )
 
     def _split_generators(self, dl_manager):
-        # Streaming mode: use iter_files to avoid downloading everything
+        # Streaming mode: use iter_files to lazily iterate over image files
         image_paths = dl_manager.iter_files("images")
-        mask_paths = dl_manager.iter_files("masks")
-
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "image_paths": image_paths,
-                    "mask_paths": mask_paths,
-                }
+                gen_kwargs={"image_paths": image_paths}
             )
         ]
 
-    def _generate_examples(self, image_paths, mask_paths):
-        # Build a lookup for masks
-        mask_lookup = {}
-        for mask_path in mask_paths:
-            sample_id = os.path.basename(os.path.dirname(mask_path))
-            mask_lookup[sample_id] = mask_path
-
-        # Iterate over image folders
+    def _generate_examples(self, image_paths):
         for image_path in image_paths:
             if not image_path.endswith("all_bands.tif"):
                 continue
 
+            # Extract sample_id from path: images/0000005/<timestamp>/all_bands.tif
             parts = image_path.split("/")
-            sample_id = parts[-3]  # e.g., "0000005"
+            if len(parts) < 3:
+                continue  # Skip malformed paths
 
-            if sample_id not in mask_lookup:
-                continue
+            sample_id = parts[-3]  # "0000005"
+            mask_path = f"masks/{sample_id}/mask.tif"
 
-            yield self.generate_index(), {
+            yield sample_id, {
                 "sample_id": sample_id,
                 "image": image_path,
-                "mask": mask_lookup[sample_id],
+                "mask": mask_path,
             }