Create chunk-t1.py

chunk-t1.py

@@ -0,0 +1,45 @@
+import datasets
+
+_TAR_FILES=[
+    "part0.tar.gz",
+    "part1.tar.gz",
+    "part2.tar.gz",
+    "part3.tar.gz",
+    "part4.tar.gz",
+    "part5.tar.gz",
+    "part6.tar.gz",
+    ]
+
+class Food101(datasets.GeneratorBasedBuilder):
+    """Food-101 Images dataset."""
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description="TMP description",
+            homepage="google it",
+            citation="lmao"
+            license="dunno, tbh, assume the worst, k thx."
+        )
+
+    def _split_generators(self, dl_manager):
+        archive_path = dl_manager.download(_TAR_FILES[0])
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "images": dl_manager.iter_archive(archive_path),
+                },
+            ),
+        ]
+
+    def _generate_examples(self, images):
+        """Generate images and labels for splits."""
+        for file_path, file_obj in images:
+            yield file_path, {
+                "image": {"path": file_path, "bytes": file_obj.read()},
+                }
+        
+        
+
+#https://huggingface.co/datasets/oscar-corpus/OSCAR-2201/blob/main/OSCAR-2201.py
+#https://huggingface.co/datasets/food101