Create images.py

images.py

@@ -0,0 +1,58 @@
+import os
+
+import datasets
+from datasets.tasks import ImageClassification
+
+
+_URLS = {
+    "train": "https://huggingface.co/datasets/bansilp/bansilp/mcl_r/blob/main/train.zip",
+    
+    }
+
+_NAMES = [
+    "blues",
+    "classical",
+    "country",
+    "disco",
+    "hiphop",
+    "metal",
+    "pop",
+    "reggae",
+    "rock"
+]
+
+
+class uta_rldd(datasets.GeneratorBasedBuilder):
+   
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            features=datasets.Features(
+                {
+                    "image": datasets.Image(),
+                    "labels": datasets.features.ClassLabel(names=_NAMES),
+                }
+            ),
+            supervised_keys=("image", "labels"),
+            task_templates=[ImageClassification(image_column="image", label_column="labels")],
+        )
+
+    def _split_generators(self, dl_manager):
+        data_files = dl_manager.download_and_extract(_URLS)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "files": dl_manager.iter_files([data_files["train"]]),
+                },
+            )
+        ]
+
+    def _generate_examples(self, files):
+        for i, path in enumerate(files):
+            file_name = os.path.basename(path)
+            if file_name.endswith(".png"):
+                yield i, {
+                    "image": path,
+                    "labels": os.path.basename(os.path.dirname(path)).lower(),
+                }