Update dataset.py

dataset.py

@@ -1,61 +1,41 @@
 import os
-from datasets import GeneratorBasedBuilder, DatasetInfo, Features, Value, Image, SplitGenerator, Split
+from datasets import DatasetInfo, GeneratorBasedBuilder, Split, Features, Image
 
+class FFHQProxy(GeneratorBasedBuilder):
+    """FFHQ Proxy Dataset Loader"""
 
-class FFHQProxyReference(GeneratorBasedBuilder):
     VERSION = "1.0.0"
 
     def _info(self):
         return DatasetInfo(
-            description="FFHQ Proxy Reference dataset for high-quality facial images.",
-            features=Features(
-                {
-                    "image": Image(),
-                    "resolution": Value("int32"),
-                    "source": Value("string"),
-                }
-            ),
-            supervised_keys=None,
-            homepage="https://drive.google.com/drive/folders/1u2xu7bSrWxrbUxk-dT-UvEJq8IjdmNTP",
-            
+            description="Proxy repository for FFHQ: facial upscaling and restoration reference dataset.",
+            homepage="https://github.com/NVlabs/ffhq-dataset",
             license="creativeml-openrail-m",
+            features=Features({
+                "low_quality": Image(),
+                "high_quality": Image()
+            }),
+            task_categories=["image-to-image"],
+            language=["en"],
         )
 
     def _split_generators(self, dl_manager):
-        """
-        User MUST pass data_dir when calling load_dataset.
-        """
-        if not self.config.data_dir:
-            raise ValueError(
-                "You must provide a local path to FFHQ images using `data_dir`."
-            )
-
+        """Define splits (train/test)"""
+        data_dir = os.path.expanduser(dl_manager.download_and_extract("https://drive.google.com/drive/folders/1u2xu7bSrWxrbUxk-dT-UvEJq8IjdmNTP"))
         return [
-            SplitGenerator(
+            self.SplitGenerator(
                 name=Split.TRAIN,
-                gen_kwargs={"image_dir": self.config.data_dir},
-            )
+                gen_kwargs={"images_dir": os.path.join(data_dir, "train")}
+            ),
         ]
 
-    def _generate_examples(self, image_dir):
-        """
-        Expects a flat or nested directory of FFHQ images.
-        """
-        idx = 0
-        for root, _, files in os.walk(image_dir):
-            for file in files:
-                if file.lower().endswith((".png", ".jpg", ".jpeg")):
-                    path = os.path.join(root, file)
-
-                    yield idx, {
-                        "image": path,
-                        "resolution": self._infer_resolution(file),
-                        "source": "FFHQ",
-                    }
-                    idx += 1
-
-    def _infer_resolution(self, filename):
-        """
-        Optional heuristic – FFHQ commonly uses 1024x1024.
-        """
-        return 1024
+    def _generate_examples(self, images_dir):
+        """Yield examples."""
+        for idx, fname in enumerate(os.listdir(images_dir)):
+            if fname.endswith(".png") or fname.endswith(".jpg"):
+                low_quality_path = os.path.join(images_dir, fname)
+                high_quality_path = os.path.join(images_dir, "high_quality", fname)
+                yield idx, {
+                    "low_quality": low_quality_path,
+                    "high_quality": high_quality_path
+                }