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PublicInvestmentProgram3YearRolling,FY2013-FY2015_page_112.png
<table border="1"> <thead> <tr> <th rowspan="2">No</th> <th rowspan="2">Project Title</th> <th rowspan="2">PIP N°</th> <th rowspan="2">Total Project Budget</th> <th colspan="4">Total Planned Expenditure</th> <th colspan="4">Committed Funds</th> <th colspan="4">Additional Funds Required</th> </tr> <tr> <th>2013</th> <th...
[{"rows": [{"polygon": [[6.19, 4.142], [3088.81, 4.142], [3088.81, 53.846], [6.19, 53.846]], "confidence": null, "row_id": 0, "bbox": [6.19, 4.142, 3088.81, 53.846]}, {"polygon": [[6.19, 57.988], [3088.81, 57.988], [3088.81, 287.869], [6.19, 287.869]], "confidence": null, "row_id": 1, "bbox": [6.19, 57.988, 3088.81, 28...
[{"model": "datalab-to/surya-ocr-2", "model_name": "surya-ocr-2", "column_name": "markdown", "blocks_column": "surya_blocks", "task": "table", "table_mode": "full", "backend": "vllm-offline", "page_range": null, "error_rate": 0.0, "timestamp": "2026-08-07T09:39:50.448417+00:00", "script": "surya-ocr.py"}]

Surya OCR 2 (table) on sopheakvoatei/english-tables-large

Table recognition (mode full) over images in sopheakvoatei/english-tables-large 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: sopheakvoatei/english-tables-large
  • Model: datalab-to/surya-ocr-2
  • Task: table (table mode full)
  • 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: 1
  • Processed OK: 1 / 1
  • Processing time: 2.9 min
  • Date: 2026-08-07 09:39 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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