Add masks_dir

cell_benchmark.py

@@ -42,12 +42,13 @@ class Cellsegmentation(datasets.GeneratorBasedBuilder):
 
   def _split_generators(self, dl_manager):
     data_files = dl_manager.download_and_extract(_SPLIT_URLS)
+    masks_dir = os.path.basename(data_files["masks"])
     splits = [
            datasets.SplitGenerator(
               name=datasets.Split.TRAIN,
               gen_kwargs={
                   "files" : dl_manager.iter_files([data_files["train"]]),
-                  "masks": data_files["masks"],
+                  "masks": masks_dir,
                   "split":  "training",
               },
            ),
@@ -55,7 +56,7 @@ class Cellsegmentation(datasets.GeneratorBasedBuilder):
               name=datasets.Split.VALIDATION,
               gen_kwargs={
                   "files" : dl_manager.iter_files([data_files["val"]]),
-                  "masks": data_files["masks"],
+                  "masks": masks_dir,
                   "split": "validation",
               },
            ),
@@ -63,7 +64,7 @@ class Cellsegmentation(datasets.GeneratorBasedBuilder):
               name=datasets.Split.TEST,
               gen_kwargs={
                   "files" : dl_manager.iter_files([data_files["test"]]),
-                  "masks": data_files["masks"],
+                  "masks": masks_dir,
                   "split": "test",
               }
            )
@@ -71,13 +72,13 @@ class Cellsegmentation(datasets.GeneratorBasedBuilder):
     return splits
 
 
-  def _generate_examples(self, files, masks, split):
-    mask_path = os.path.basename(masks)
+  def _generate_examples(self, files, masks_dir, split):
+    masks_dir = masks_dir 
     for i, path in enumerate(files):
       file_name = os.path.basename(path)
       yield i, {
            "image": path,
-           "masks": mask_path + "mask_" + file_name.replace("jpg", "png"),
+           "masks": mask_dir + "mask_" + file_name.replace("jpg", "png"),
            "path": path,
       }