Update imagenette.py

imagenette.py

@@ -49,6 +49,7 @@ Full size download;
 """
 
 _URL_PREFIX = "https://s3.amazonaws.com/fast-ai-imageclas/"
+_URL_IMAGENET_REFS = 'https://huggingface.co/datasets/jerpint/imagenette/raw/main/imagenet_refs.json'
 
 _LABELS = {
     "imagenette": [
@@ -100,9 +101,6 @@ class ImagenetteConfig(datasets.BuilderConfig):
         self.labels = _LABELS[self.dataset]
         self.name = name
 
-        with open("imagenet_refs.json", "r") as f:
-            self.imagenet_refs = json.load(f)
-            self.ref_to_labels = {}
 
 
 def _make_builder_configs():
@@ -141,10 +139,17 @@ class Imagenette(datasets.GeneratorBasedBuilder):
         """Returns SplitGenerators."""
         print(self.__dict__.keys())
         print(self.config)
+                
+        # Download the ref:label map for imagenet
+        path = dl_manager.download_and_extract(url)
+        refs_path = dl_manager.download(_URL_IMAGENET_REFS)
+        with open(refs_path) as f:
+            self.ref_to_label = json.load(f)
+            
+           
         name = self.config.name
         dirname = _NAME_TO_DIR[name]
         url = _URL_PREFIX + "{}.tgz".format(dirname)
-        path = dl_manager.download_and_extract(url)
         train_path = os.path.join(path, dirname, "train")
         val_path = os.path.join(path, dirname, "val")
         assert os.path.exists(train_path)
@@ -165,12 +170,12 @@ class Imagenette(datasets.GeneratorBasedBuilder):
 
     def _generate_examples(self, datapath):
         """Yields examples."""
-        imagenet_refs = self.config.imagenet_refs
+
         for path in Path(datapath).glob("**/*.JPEG"):
             record = {
                 # In Imagenette, the parent folder of the file is
                 # the imagenet reference to the label name.
                 "image": str(path),
-                "labels": imagenet_refs[path.parent.name],
+                "labels": self.ref_to_label[path.parent.name],
             }
             yield path.name, record