Update DocLayNet-small.py

DocLayNet-small.py

@@ -157,32 +157,40 @@ class DocLayNet(datasets.GeneratorBasedBuilder):
         # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
 
         downloaded_file = dl_manager.download_and_extract("https://huggingface.co/datasets/pierreguillou/DocLayNet-small/resolve/main/data/dataset_small.zip")
-        return [
-            datasets.SplitGenerator(                
+        splits = []
+        for split in self.config.splits:
+            if split == "train":
+                dataset = datasets.SplitGenerator(                
                 name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": f"{downloaded_file}/small_dataset/train/",
+                    "filepath": os.path.join(downloaded_file, "small_dataset/train/"),
                     "split": "train",
                 },
-            ),
-            datasets.SplitGenerator(
+            )
+            elif split in ["val", "valid", "validation", "dev"]:
+                dataset = datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": f"{downloaded_file}/small_dataset/val/",
-                    "split": "dev",
+                    "filepath": os.path.join(downloaded_file, "small_dataset/val/"),
+                    "split": "val",
                 },
-            ),
-            datasets.SplitGenerator(
+            )
+            elif split in ["test"]:
+                dataset = datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": f"{downloaded_file}/small_dataset/test/",
-                    "split": "test"
+                    "filepath": os.path.join(downloaded_file, "small_dataset/test/"),
+                    "split": "test",
                 },
-            ),
-        ]
+            )
+            else:
+                continue
+
+            splits.append(dataset)
+        return splits
 
     def _generate_examples(self, filepath, split):
             logger.info("⏳ Generating examples from = %s", filepath)