add dataset loader

dataset.py

@@ -1,56 +1,44 @@
 VERSION = "0.0.2"
-
-import os
-import json
-from datasets import GeneratorBasedBuilder, DatasetInfo, SplitGenerator, Split, Features, Value, Sequence, Image
+import os, json
+from datasets import (
+    GeneratorBasedBuilder, DatasetInfo, SplitGenerator, Split,
+    Features, Value, Sequence, Image
+)
 
 class TLPD(GeneratorBasedBuilder):
+    VERSION = "0.0.2"          # ← 只要改了版本，Hub 就會重建
+
     def _info(self):
         return DatasetInfo(
-            description="Taiwan License Plate Dataset with LabelMe polygon annotations.",
+            description="Taiwan License Plate Dataset",
             features=Features({
-                "image": Image(),  # auto-decodes to PIL.Image
-                "label": Value("string"),  # e.g., 'carplate'
-                "points": Sequence(Sequence(Value("float32")))  # list of [x, y] coords
+                "image":  Image(),
+                "label":  Value("string"),
+                "points": Sequence(Sequence(Value("float32"))),
             }),
         )
 
     def _split_generators(self, dl_manager):
-        data_dir = dl_manager.manual_dir
-        return [
-            SplitGenerator(
-                name=Split.TRAIN,
-                gen_kwargs={
-                    "images_dir": os.path.join(data_dir, "images"),
-                    "labels_dir": os.path.join(data_dir, "labels")
-                }
-            )
-        ]
+        data_dir = dl_manager.manual_dir   # = repo 根目錄
+        return [SplitGenerator(
+            name=Split.TRAIN,
+            gen_kwargs={
+                "images_dir": os.path.join(data_dir, "images"),
+                "labels_dir": os.path.join(data_dir, "labels"),
+            },
+        )]
 
     def _generate_examples(self, images_dir, labels_dir):
-        for fname in sorted(os.listdir(labels_dir)):
-            if not fname.endswith(".json"):
+        for file in sorted(os.listdir(labels_dir)):
+            if not file.endswith(".json"):
                 continue
-
-            label_path = os.path.join(labels_dir, fname)
-            with open(label_path, "r") as f:
-                data = json.load(f)
-
-            image_filename = data.get("imagePath")
-            image_path = os.path.join(images_dir, image_filename)
-
-            shapes = data.get("shapes", [])
-            if not shapes:
-                continue  # skip if no annotation
-
-            label = shapes[0].get("label", "unknown")
-            points = shapes[0].get("points", [])
-
-            key = os.path.splitext(fname)[0]
-            
-            print("Yielding:", key, label, points)
-            yield key, {
-                "image": image_path,
-                "label": label,
-                "points": points
+            with open(os.path.join(labels_dir, file), "r") as f:
+                meta = json.load(f)
+
+            shape = meta["shapes"][0]
+            yield file[:-5], {
+                "image":  os.path.join(images_dir, meta["imagePath"]),
+                "label":  shape["label"],
+                "points": shape["points"],
             }
+