trying with zip

data/data_dir.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:89a60a715e225655873d441df5f03cc635134cede115d5e3feb605d60e77c320
+size 573872

unit-test_PDFfolder.py

@@ -10,7 +10,7 @@ _DESCRIPTION = "A generic pdf folder"
 
 _CLASSES = ["categoryA", "categoryB"]
 
-folder = "https://huggingface.co/datasets/jordyvl/unit-test_PDFfolder/resolve/main/data"
+_URL = "https://huggingface.co/datasets/jordyvl/unit-test_PDFfolder/resolve/main/data/data_dir"
 
 class PdfFolder(datasets.GeneratorBasedBuilder):
     def _info(self):
@@ -45,22 +45,47 @@ class PdfFolder(datasets.GeneratorBasedBuilder):
         self, dl_manager: datasets.DownloadManager
     ) -> List[datasets.SplitGenerator]:
 
-        self.config.data_files = folder
-
-        if isinstance(self.config.data_files, str):
-            return [
-                datasets.SplitGenerator(
-                    name=datasets.Split.TRAIN, gen_kwargs={"archive_path": self.config.data_files}
-                )
-            ]
-            
-        splits = []
-        for split_name, folder in self.config.data_files.items():
-            splits.append(
-                datasets.SplitGenerator(name=split_name, gen_kwargs={"archive_path": folder})
-            )
-
-        return splits
+        archive_path = dl_manager.download(_URL)
+
+        import pdb; pdb.set_trace()  # breakpoint aef4d417 //
+        
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "archive_iterator": dl_manager.iter_archive(archive_path),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "archive_iterator": dl_manager.iter_archive(archive_path),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "archive_iterator": dl_manager.iter_archive(archive_path),
+                },
+            ),
+        ]
+
+
+        # if isinstance(self.config.data_files, str):
+        #     return [
+        #         datasets.SplitGenerator(
+        #             name=datasets.Split.TRAIN, gen_kwargs={"archive_path": self.config.data_files}
+        #         )
+        #     ]
+
+        # splits = []
+        # for split_name, folder in self.config.data_files.items():
+        #     splits.append(
+        #         datasets.SplitGenerator(name=split_name, gen_kwargs={"archive_path": folder})
+        #     )
+
+        # return splits
 
     def _generate_examples(self, archive_path):
         labels = self.info.features["labels"]