Add --config/--create-pr support to dots-ocr.py

dots-ocr.py

@@ -2,7 +2,7 @@
 # requires-python = ">=3.11"
 # dependencies = [
 #     "datasets",
-#     "huggingface-hub[hf_transfer]",
+#     "huggingface-hub",
 #     "pillow",
 #     "vllm>=0.9.1",
 #     "tqdm",
@@ -58,7 +58,6 @@ logger = logging.getLogger(__name__)
 
 PROMPT_TEMPLATES = {
     "ocr": "Extract the text content from this image.",
-
     "layout-all": """Please output the layout information from the PDF image, including each layout element's bbox, its category, and the corresponding text content within the bbox.
 
 1. Bbox format: [x1, y1, x2, y2]
@@ -76,7 +75,6 @@ PROMPT_TEMPLATES = {
     - All layout elements must be sorted according to human reading order.
 
 5. Final Output: The entire output must be a single JSON object.""",
-
     "layout-only": """Please output the layout information from this PDF image, including each layout's bbox and its category. The bbox should be in the format [x1, y1, x2, y2]. The layout categories for the PDF document include ['Caption', 'Footnote', 'Formula', 'List-item', 'Page-footer', 'Page-header', 'Picture', 'Section-header', 'Table', 'Text', 'Title']. Do not output the corresponding text. The layout result should be in JSON format.""",
 }
 
@@ -249,6 +247,8 @@ def main(
     prompt_mode: str = "ocr",
     custom_prompt: str = None,
     output_column: str = "markdown",
+    config: str = None,
+    create_pr: bool = False,
 ):
     """Process images from HF dataset through DoTS.ocr model."""
 
@@ -258,9 +258,6 @@ def main(
     # Track processing start time
     start_time = datetime.now()
 
-    # Enable HF_TRANSFER for faster downloads
-    os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "1"
-
     # Login to HF if token provided
     HF_TOKEN = hf_token or os.environ.get("HF_TOKEN")
     if HF_TOKEN:
@@ -362,7 +359,11 @@ def main(
 
         def update_inference_info(example):
             try:
-                existing_info = json.loads(example["inference_info"]) if example["inference_info"] else []
+                existing_info = (
+                    json.loads(example["inference_info"])
+                    if example["inference_info"]
+                    else []
+                )
             except (json.JSONDecodeError, TypeError):
                 existing_info = []
 
@@ -378,7 +379,15 @@ 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,
+        config_name=config,
+        create_pr=create_pr,
+        commit_message=f"Add {model} OCR results ({len(dataset)} samples)"
+        + (f" [{config}]" if config else ""),
+    )
 
     # Create and push dataset card
     logger.info("Creating dataset card")
@@ -400,7 +409,9 @@ def main(
     card.push_to_hub(output_dataset, token=HF_TOKEN)
 
     logger.info("✅ DoTS.ocr processing complete!")
-    logger.info(f"Dataset available at: https://huggingface.co/datasets/{output_dataset}")
+    logger.info(
+        f"Dataset available at: https://huggingface.co/datasets/{output_dataset}"
+    )
     logger.info(f"Processing time: {processing_time_str}")
 
 
@@ -421,16 +432,23 @@ if __name__ == "__main__":
         print("\n1. Basic OCR:")
         print("   uv run dots-ocr.py input-dataset output-dataset")
         print("\n2. With custom settings:")
-        print("   uv run dots-ocr.py docs analyzed-docs --batch-size 20 --max-samples 100")
+        print(
+            "   uv run dots-ocr.py docs analyzed-docs --batch-size 20 --max-samples 100"
+        )
         print("\n3. Layout analysis with structure:")
-        print("   uv run dots-ocr.py papers analyzed-structure --prompt-mode layout-all")
+        print(
+            "   uv run dots-ocr.py papers analyzed-structure --prompt-mode layout-all"
+        )
         print("\n4. Layout detection only (no text):")
         print("   uv run dots-ocr.py docs layout-info --prompt-mode layout-only")
         print("\n5. Running on HF Jobs:")
         print("   hf jobs uv run --flavor l4x1 \\")
-        print("     -e HF_TOKEN=$(python3 -c \"from huggingface_hub import get_token; print(get_token())\") \\")
-        print("     -e HF_HUB_ENABLE_HF_TRANSFER=1 \\")
-        print("     https://huggingface.co/datasets/uv-scripts/ocr/raw/main/dots-ocr.py \\")
+        print(
+            '     -e HF_TOKEN=$(python3 -c "from huggingface_hub import get_token; print(get_token())") \\'
+        )
+        print(
+            "     https://huggingface.co/datasets/uv-scripts/ocr/raw/main/dots-ocr.py \\"
+        )
         print("       input-dataset output-dataset")
         print("\n" + "=" * 80)
         print("\nFor full help, run: uv run dots-ocr.py --help")
@@ -529,6 +547,15 @@ Examples:
         default="markdown",
         help="Column name for output text (default: markdown)",
     )
+    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()
 
@@ -550,4 +577,6 @@ Examples:
         prompt_mode=args.prompt_mode,
         custom_prompt=args.custom_prompt,
         output_column=args.output_column,
+        config=args.config,
+        create_pr=args.create_pr,
     )