Update testdata.py

testdata.py

@@ -51,7 +51,7 @@ required to submit final prediction files, which we shall proceed to evaluate.
 
 _REPO = "https://huggingface.co/datasets/testdata/resolve/main/data"
 _URLS = {
-    "fisheye": f"{_REPO}/fisheye.zip",
+    "test": f"{_REPO}/fisheye.zip",
     "annot": f"{_REPO}/annotations.zip",
 }
 
@@ -100,10 +100,23 @@ class TestData(datasets.GeneratorBasedBuilder):
                 annotation[cls].append([x1, y1, x2, y2])
                 line = f.readline().strip()
         return annotation
+        
+    def _split_generators(self, dl_manager):
+        data_dir = dl_manager.download_and_extract(_URLS)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "split": "test",
+                    "data_dir": data_dir["test"],
+                    "annot_dir": data_dir["annot"],
+                },
+            ),
+        ]
     
     def _generate_examples(self, data_dir, annot_dir):
         image_dir = os.path.join(data_dir, "fisheye")
-        anno_dir = os.path.join(data_dir, "annotations")
+        annotation_dir = os.path.join(annot_dir, "annotations")
         files = []
         faces = []
         plates = []
@@ -112,7 +125,7 @@ class TestData(datasets.GeneratorBasedBuilder):
             
         for image_path in tqdm(files):
             img_relative_path = image_path.relative_to(image_dir)
-            gt_pah = (Path(label_dir) / src_img_relative_path).with_suffix('.txt')
+            gt_pah = (Path(annotation_dir) / img_relative_path).with_suffix('.txt')
             
             annotation = parse_annotation(gt_pah)