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DatasetBuilder.py

@@ -0,0 +1,33 @@
+import os
+import csv
+from datasets import DatasetInfo, Split, SplitGenerator, GeneratorBasedBuilder, Value, Features
+import zipfile
+
+class DatasetBuilder(GeneratorBasedBuilder):
+    def _info(self):
+        return DatasetInfo(
+            features=Features({
+                "image": Value("string"),  # image file path relative to extracted dir
+                "label": Value("int32")
+            })
+        )
+
+    def _split_generators(self, dl_manager):
+        zip_path = dl_manager.download_and_extract("cleanstl10.zip")
+        base_path = os.path.join(zip_path, "cleanstl10")
+
+        return [
+            SplitGenerator(name=Split.TRAIN, gen_kwargs={"split_dir": os.path.join(base_path, "train")}),
+            SplitGenerator(name=Split.UNSUPERVISED, gen_kwargs={"split_dir": os.path.join(base_path, "unlabeled")}),
+            SplitGenerator(name=Split.TEST, gen_kwargs={"split_dir": os.path.join(base_path, "test")}),
+        ]
+
+    def _generate_examples(self, split_dir):
+        metadata_path = os.path.join(split_dir, "metadata.csv")
+        with open(metadata_path, newline='', encoding="utf-8") as csvfile:
+            reader = csv.DictReader(csvfile)
+            for i, row in enumerate(reader):
+                yield i, {
+                    "image": os.path.join(split_dir, row["file_path"]),
+                    "label": int(row["label"])
+                }