image imagewidth (px) 2.64k 3.71k | file_name stringclasses 3
values | markdown stringclasses 3
values | surya_blocks stringclasses 3
values | inference_info stringclasses 1
value |
|---|---|---|---|---|
PublicInvestmentProgram3YearRolling,FY2013-FY2015_page_010.png | <table>
<tbody><tr>
<th>ααΌα
ααΆααααααααα·α
αα
</th>
<th>α’α α‘α’ ααΊ</th>
<th>ααααΆα α’α α‘α£ ααΊ</th>
<th>ααααΆαα’α α‘α€ ααΊ</th>
<th>ααααΆα α’α α‘α₯ ααΊ</th></tr>
<tr>
<td>ααα·ααααααα»ααααα»αααα»α (GDP) αα·αααααΉαααααααα
αα
α»αααααα (ααΆααααΆαααα)</td>
<td>α₯α¨,α‘α©α’</td>
<td>α¦α€,α α¨α’</td>
<td>α§α ,α¦α§α§</td>
<td>α§α§,α€α§α©</td></tr>
<tr>
<td>ααα·ααααααα»ααααα»αααα»α (GDP)... | [{"rows": [], "cols": [], "cells": [], "image_bbox": [0.0, 0.0, 3712.0, 1680.0], "raw": "<table>\n<tbody><tr>\n<th>ααΌα
ααΆααααααααα·α
αα
</th>\n<th>α’α α‘α’ ααΊ</th>\n<th>ααααΆα α’α α‘α£ ααΊ</th>\n<th>ααααΆαα’α α‘α€ ααΊ</th>\n<th>ααααΆα α’α α‘α₯ ααΊ</th></tr>\n<tr>\n<td>ααα·ααααααα»ααααα»αααα»α (GDP) αα·αααααΉαααααααα
αα
α»αααααα (ααΆααααΆαααα)</td>\n<td>α₯α¨... | [{"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": "2026-08-19T02:58:31.990663+00:00", "script": "surya-ocr.py"}] | |
PublicInvestmentProgram3YearRolling,FY2013-FY2015_page_011.png | <table>
<tbody><tr>
<th></th>
<th>ααααΆα α’α α‘α’</th>
<th>ααααΆα α’α α‘α£</th>
<th>ααααΆα α’α α‘α€</th>
<th>ααααΆα α’α α‘α₯</th></tr>
<tr>
<td>ααα·αααα ααααΆα αα·αααααααΎ</td>
<td>α‘,α¨%</td>
<td>α€.α’%</td>
<td>α£.α’%</td>
<td>α£.α‘%</td></tr>
<tr>
<td>ααααΆα</td>
<td>α‘,α¨%</td>
<td>α₯.α’%</td>
<td>α£.α¦%</td>
<td>α£.α£%</td></tr>
<tr>
<td>ααααα
α·ααα
αΉα αα·αα... | [{"rows": [], "cols": [], "cells": [], "image_bbox": [0.0, 0.0, 2640.0, 4242.0], "raw": "<table>\n<tbody><tr>\n<th></th>\n<th>ααααΆα α’α α‘α’</th>\n<th>ααααΆα α’α α‘α£</th>\n<th>ααααΆα α’α α‘α€</th>\n<th>ααααΆα α’α α‘α₯</th></tr>\n<tr>\n<td>ααα·αααα ααααΆα αα·αααααααΎ</td>\n<td>α‘,α¨%</td>\n<td>α€.α’%</td>\n<td>α£.α’%</td>\n<td>α£.α‘%</td></tr>\n<tr>... | [{"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": "2026-08-19T02:58:31.990663+00:00", "script": "surya-ocr.py"}] | |
PublicInvestmentProgram3YearRolling,FY2013-FY2015_page_012.png | <table>
<tbody><tr>
<th>αααααα α·αααααααααΆα</th>
<th>ααααΆα α’α α‘α’</th>
<th>ααααΆα α’α α‘α£</th>
<th>ααααΆα α’α α‘α€</th>
<th>ααααΆα α’α α‘α₯</th>
<th>ααα»α ααααΆαα’α α‘α£ -α’α α‘α₯</th>
</tr>
<tr>
<td>ααΆααα·αα·αααααα»α</td>
<td>α£,α€α£α€.α§</td>
<td>α£,α¨α©α₯.α€</td>
<td>α€,α‘α§α’.α </td>
<td>α€,α₯α©α§.α§</td>
<td>α‘α’,α¦α¦α¦.α‘</td>
</tr>
<tr>
<td>Β· ααΆααα·αα·αααααΆααΆααα</td>
<t... | [{"rows": [], "cols": [], "cells": [], "image_bbox": [0.0, 0.0, 2768.0, 2584.0], "raw": "<table>\n<tbody><tr>\n<th>αααααα α·αααααααααΆα</th>\n<th>ααααΆα α’α α‘α’</th>\n<th>ααααΆα α’α α‘α£</th>\n<th>ααααΆα α’α α‘α€</th>\n<th>ααααΆα α’α α‘α₯</th>\n<th>ααα»α ααααΆαα’α α‘α£ -α’α α‘α₯</th>\n</tr>\n<tr>\n<td>ααΆααα·αα·αααααα»α</td>\n<td>α£,α€α£α€.α§</td>\n<td>α£,α¨α©α₯.... | [{"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": "2026-08-19T02:58:31.990663+00:00", "script": "surya-ocr.py"}] |
Surya OCR 2 (table) on sopheakvoatei/rendered_khmer_tables
Table recognition (mode full) over images in
sopheakvoatei/rendered_khmer_tables 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/rendered_khmer_tables
- Model: datalab-to/surya-ocr-2
- Task:
table(table modefull) - 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: 3
- Processed OK: 3 / 3
- Processing time: 3.0 min
- Date: 2026-08-19 02:58 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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