update dataset push

nanonets-ocr2.py

@@ -220,6 +220,8 @@ def main(
     shuffle: bool = False,
     seed: int = 42,
     verbose: bool = False,
+    config: str = None,
+    create_pr: bool = False,
 ):
     """Process images from HF dataset through Nanonets-OCR2-3B model."""
 
@@ -346,8 +348,17 @@ def main(
 
     # Push to hub
     logger.info(f"Pushing to {output_dataset}")
-    dataset.push_to_hub(output_dataset, private=private, token=HF_TOKEN)
-
+    # dataset.push_to_hub(output_dataset, private=private, token=HF_TOKEN)
+    dataset.push_to_hub(
+        output_dataset,
+        private=private,
+        token=HF_TOKEN,
+        **({"config_name": config} if config else {}),
+        create_pr=create_pr,
+        commit_message=f"Add {model} OCR results ({len(dataset)} samples)"
+        + (f" [{config}]" if config else ""),
+    )
+    
     # Calculate processing time
     end_time = datetime.now()
     processing_duration = end_time - start_time
@@ -515,7 +526,16 @@ Examples:
         action="store_true",
         help="Log resolved package versions after processing (useful for pinning deps)",
     )
-
+    parser.add_argument(
+        "--config",
+        help="Config/subset name when pushing to Hub (for benchmarking multiple models in one repo)",
+    )
+    parser.add_argument(
+        "--create-pr",
+        action="store_true",
+        help="Create a pull request instead of pushing directly (for parallel benchmarking)",
+    )
+    
     args = parser.parse_args()
 
     main(
@@ -534,4 +554,6 @@ Examples:
         shuffle=args.shuffle,
         seed=args.seed,
         verbose=args.verbose,
+        config=args.config,
+        create_pr=args.create_pr,
     )

paddleocr-vl.py

@@ -334,6 +334,8 @@ def main(
     seed: int = 42,
     output_column: str = None,
     verbose: bool = False,
+    config: str = None,
+    create_pr: bool = False,
 ):
     """Process images from HF dataset through PaddleOCR-VL model."""
 
@@ -510,8 +512,18 @@ def main(
 
     # Push to hub
     logger.info(f"Pushing to {output_dataset}")
-    dataset.push_to_hub(output_dataset, private=private, token=HF_TOKEN)
-
+    # dataset.push_to_hub(output_dataset, private=private, token=HF_TOKEN)
+
+    dataset.push_to_hub(
+        output_dataset,
+        private=private,
+        token=HF_TOKEN,
+        **({"config_name": config} if config else {}),
+        create_pr=create_pr,
+        commit_message=f"Add {model_name} OCR results ({len(dataset)} samples)"
+        + (f" [{config}]" if config else ""),
+    )    
+    
     # Create and push dataset card
     logger.info("Creating dataset card")
     card_content = create_dataset_card(
@@ -707,6 +719,17 @@ Examples:
         action="store_true",
         help="Log resolved package versions after processing (useful for pinning deps)",
     )
+    
+    parser.add_argument(
+        "--config",
+        help="Config/subset name when pushing to Hub (for benchmarking multiple models in one repo)",
+    )
+    parser.add_argument(
+        "--create-pr",
+        action="store_true",
+        help="Create a pull request instead of pushing directly (for parallel benchmarking)",
+    )
+
 
     args = parser.parse_args()
 
@@ -729,4 +752,6 @@ Examples:
         seed=args.seed,
         output_column=args.output_column,
         verbose=args.verbose,
+        config=args.config,
+        create_pr=args.create_pr,
     )