id stringclasses 2
values | side stringclasses 2
values | image imagewidth (px) 576 576 | markdown stringclasses 2
values | surya_blocks stringclasses 2
values | inference_info stringclasses 1
value |
|---|---|---|---|---|---|
permis-recto | recto | CAN 375473
رخصة السياقة PERMIS DE CONDUIRE
المملكة المغربية ROYAUME DU MARITIME
جو الشخصي مهدي الاسم العاملي كويد
Prénom MEHDI Nom GOUOUJIAD
C.N.I. BE899456 Né(e) le 24/02/1998 تاريخ الولائة الدار البيضاء CASABLANCA
Permis N° رقم الرخصة 02/567609
Casa nord le في الدار البيضاء 2009/2016
B | [{"blocks": [{"polygon": [[489.59999999999997, 0.0], [576.0, 0.0], [576.0, 61.44], [489.59999999999997, 61.44]], "confidence": 0.8882025410976354, "label": "PageHeader", "raw_label": "Page-Header", "reading_order": 0, "html": "<p>CAN 375473</p>", "skipped": false, "error": false, "bbox": [489.59999999999997, 0.0, 576.0... | [{"model": "datalab-to/surya-ocr-2", "model_name": "surya-ocr-2", "column_name": "markdown", "blocks_column": "surya_blocks", "task": "ocr", "table_mode": null, "backend": "vllm-offline", "page_range": null, "error_rate": 0.0, "timestamp": "2026-08-11T13:51:59.159653+00:00", "script": "surya-ocr.py"}] | |
permis-verso | verso | الاصطناع Categories تاريخ التعليم Date de délivrance التقنيات Restrictions A تاريخ التعليم A تاريخ التعليم B تاريخ التعليم 2009/2016 C تاريخ التعليم D تاريخ التعليم EB تاريخ التعليم ED تاريخ التعليم Date de fin de validité : 05/10/2026 تاريخ نهاية المتلاحية 9100 0500 0408 1583 | [{"blocks": [{"polygon": [[457.92, 0.0], [576.0, 0.0], [576.0, 163.84], [457.92, 163.84]], "confidence": 0.9504527413770506, "label": "Picture", "raw_label": "Image", "reading_order": 0, "html": "", "skipped": true, "error": false, "bbox": [457.92, 0.0, 576.0, 163.84]}, {"polygon": [[63.36, 481.28], [452.16, 481.28], [... | [{"model": "datalab-to/surya-ocr-2", "model_name": "surya-ocr-2", "column_name": "markdown", "blocks_column": "surya_blocks", "task": "ocr", "table_mode": null, "backend": "vllm-offline", "page_range": null, "error_rate": 0.0, "timestamp": "2026-08-11T13:51:59.159653+00:00", "script": "surya-ocr.py"}] |
Surya OCR 2 (ocr) on mehdigououiad/permis-ocr-bench
Full-page ocr (structured html + bounding boxes) over images in
mehdigououiad/permis-ocr-bench using
Surya OCR 2 (650M, Qwen3.5-based) by Datalab, via the
surya-ocr package, run as offline vLLM batch
inference on Hugging Face Jobs.
Processing Details
- Source Dataset: mehdigououiad/permis-ocr-bench
- Model: datalab-to/surya-ocr-2
- Task:
ocr - Input column:
image(image) - Text column:
markdown(flattened, reading-order text per row) - Structured column:
surya_blocks(JSON: per-page blocks with bbox / polygon / label / reading_order / confidence / html) - Split:
train - Samples: 2
- Processed OK: 2 / 2
- Processing time: 2.8 min
- Date: 2026-08-11 13:52 UTC
License note
Surya's code is Apache-2.0, but the model weights use a modified OpenRAIL-M license: free for research, personal use, and startups under $5M funding/revenue, restricted from competitive use against Datalab's API. See the model card.
Dataset Structure
Original columns plus:
markdown: flattened text (OCR), label outline (layout), or table HTML (table)surya_blocks: structured result as a JSON string (one entry per page)inference_info: JSON list tracking models applied to this dataset
Generated with UV Scripts.
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