Upload folder using huggingface_hub

extend_dataset/script.py

@@ -104,13 +104,14 @@ class Pipeline:
             self.console.print("[yellow]Warning: Could not determine dataset size. Using streaming mode.")
             return None
 
-
-    def _load_config(self, yml_source: str) -> dict:
+    @staticmethod
+    def _load_config(yml_source: str) -> dict:
         """Load and parse YAML configuration from file or URL."""
         if yml_source.startswith(('http://', 'https://')):
-            if self._is_sheets_dataset_url(yml_source):
-                yml_source = yml_source + '/json'
-            response = requests.get(yml_source)
+            response = requests.get(
+                yml_source,
+                headers={'Accept': 'application/x-yaml; application/json'}
+            )
             response.raise_for_status()
             return yaml.safe_load(response.text)
 
@@ -438,6 +439,7 @@ class Pipeline:
         """Check if the URL points to a (AI)Sheets dataset."""
         return "/home/dataset/" in url and "/json" not in url
 
+
 def main(
     *,
     repo_id: str,
@@ -482,7 +484,8 @@ def main(
     augmented_dataset = pipeline.run()
     augmented_dataset.push_to_hub(destination, split=destination_split, create_pr=create_pr)
 
-    rprint(f"\n[bold green]✓[/] Successfully pushed augmented dataset to [cyan] https://huggingface.co/datasets/{destination}[/].")
+    rprint(
+        f"\n[bold green]✓[/] Successfully pushed augmented dataset to [cyan] https://huggingface.co/datasets/{destination}[/].")
 
 
 if __name__ == "__main__":