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ocr-output_glm_table

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001.jpg
<table><thead><tr><th>LEGAL DESCRIPTION</th><th colspan="2">LOT COVERAGE</th><th>AVERAGE BUILDING ELEVATION</th><th>GENERAL NOTES</th><th>PROJECT TEAM</th></tr></thead><tbody><tr><td>COUNTY ASSESSOR PARCEL NO. (PROPERTY TAX ACCOUNT NO.): X-X-X</td><td colspan="2"></td><td>AVERAGE BUILDING ELEVATION = (MIDPT ELEV x LENG...
[{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-02-09T04:19:51.811254", "task": "table", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 16384}]
002.jpg
<table><tr><td>OVERALL DIMENSION</td></tr><tr><td>DECK</td></tr><tr><td>OVERALL DIMENSION</td></tr><tr><td>CONCRETE PATIO</td></tr><tr><td>CRAWLSPACE VENT SIZE, TYPE, &amp; NET VENT AREA</td></tr><tr><td>CONCRETE PATIO</td></tr><tr><td>CRAWLSPACE ACCESS SIZE</td></tr><tr><td>FLOOR OPENING SIZE &amp; FRAMING</td></tr><t...
[{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-02-09T04:19:51.811254", "task": "table", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 16384}]
003.jpg
<table><tr><td>OVERALL DIMENSION</td><td>EXISTING NEW</td></tr><tr><td>WOOD DECK</td><td>CONCRETE LANDING</td></tr><tr><td>DOWNSPOUT</td><td>DOWNSPOUT</td></tr><tr><td>BEDROOM 1</td><td>UTILITY GAS DRYER WASHER REFRIGERATOR SKYLIGHT ABOVE</td></tr><tr><td>ATTIC ACCESS ABOVE</td><td>STAIR CLOSET FAMILY ROOM</td></tr><tr...
[{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-02-09T04:19:51.811254", "task": "table", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 16384}]
004.jpg
<table><tr><td>$\textcircled{1}$ LOWER ROOF &amp; UPPER FLOOR FRAMING PLAN</td><td>(SCALE: 1/4&quot; = 1&#x27;-0&quot; OR 1/8&quot; = 1&#x27;-0&quot; PREFERRED)</td></tr></table>
[{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-02-09T04:19:51.811254", "task": "table", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 16384}]
005.jpg
<table><tr><td>$\textcircled{1}$ SOUTH ELEVATION</td><td>(SCALE: 1/4&quot; = 1&#x27;-0&quot; OR 1/8&quot; = 1&#x27;-0&quot; PREFERRED)</td></tr><tr><td></td><td>FINISH MATERIAL DOWNSPOUT LOCATION OVERHANG FINISH MATERIAL +X&#x27;-X&quot; TOP PLATE OVERHANG FINISH MATERIAL +X&#x27;-X&quot; FINISHED FLOOR +X&#x27;-X&quot...
[{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-02-09T04:19:51.811254", "task": "table", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 16384}]
006.jpg
<table><thead><tr><th>GLAZING AREA % OF FLOOR</th><th colspan="2">GLAZING U-FACTOR</th><th>DOOR U-FACTOR</th><th>CEILING</th><th>VAULTED CEILING</th><th>WALL ABOVE GRADE</th><th>WALL INTERIOR BELOW GRADE</th><th>WALL EXTERIOR BELOW GRADE</th><th>FLOOR</th><th>SLAB ON GRADE</th></tr></thead><tbody><tr><td>### %</td><td>...
[{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-02-09T04:19:51.811254", "task": "table", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 16384}]
007.jpg
<table><tr><td>1</td><td>SLAB ON GRADE NOTE SCALE</td></tr><tr><td>2</td><td>FOUNDATION DETAIL NOTE SCALE</td></tr><tr><td>3</td><td>GARAGE SLAB/WALL (ALTERNATE) NOTE SCALE</td></tr><tr><td>4</td><td>FLOOR-WALL CONNECTION NOTE SCALE</td></tr><tr><td>5</td><td>ROOF-WALL CONNECTION NOTE SCALE</td></tr><tr><td>6</td><td>P...
[{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-02-09T04:19:51.811254", "task": "table", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 16384}]
008.jpg
<table><thead><tr><th>LEGAL DESCRIPTION</th><th colspan="2">LOT COVERAGE</th><th>AVERAGE BUILDING ELEVATION</th><th>GENERAL NOTES</th><th>PROJECT TEAM</th></tr></thead><tbody><tr><td>COUNTY ASSESSOR PARCEL NO. (PROPERTY TAX ACCOUNT NO.): X-X-X</td><td colspan="2"></td><td>AVERAGE BUILDING ELEVATION = (MIDPT ELEV x LENG...
[{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-02-09T04:19:51.811254", "task": "table", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 16384}]
009.png
<table><thead><tr><th>NOTE:</th></tr></thead><tbody><tr><td>1. ALL DIMENSIONS ARE SHOWN IN MILLIMETRES UNLESS OTHERWISE SPECIFIED AND LEVELS ARE SHOWN IN METRES.</td></tr><tr><td>2. PROPOSED WORKS ARE SHOWN IN RED EXISTING WORKS SHOWN IN BLACK AND DISMANTLING WORKS SHOWN IN RED.</td></tr><tr><td>3. THIS DRAWING IS PREP...
[{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-02-09T04:19:51.811254", "task": "table", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 16384}]
010.png
<table><thead><tr><th>CONSTRUCTION DEPTH</th><th>EXG. BRIDGE PRO. BRIDGE</th></tr></thead><tbody><tr><td>RAIL</td><td>172mm</td></tr><tr><td>RUBBER PAD</td><td>6mm</td></tr><tr><td>PSC SLEEPER</td><td>210mm</td></tr><tr><td>BALLAST CUSHION</td><td>350mm</td></tr><tr><td>EARTH CUSHION</td><td>1170mm</td></tr><tr><td>TOT...
[{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-02-09T04:19:51.811254", "task": "table", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 16384}]
011.png
<table><tr><td>WEEP HOLES 100 Ø AT 1000 C/C</td><td></td></tr><tr><td>BED LEVEL 295.143</td><td></td></tr><tr><td>1:1</td><td></td></tr><tr><td>1500</td><td></td></tr><tr><td>3300</td><td></td></tr><tr><td>1200</td><td></td></tr><tr><td>600</td><td></td></tr><tr><td>150TH. LEVELLING COURSE</td><td></td></tr><tr><td>600...
[{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-02-09T04:19:51.811254", "task": "table", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 16384}]
012.png
<table><tr><td>SPECIFICATIONS:</td></tr><tr><td>EXPOSURE CONDITION: MODERATE AS PER INCIDE WITH LATEST AAC SUPP.</td></tr><tr><td>CARE OF CONCRETE BRIDGE CODE 2014 WHERE HS CONCRETE BRIDGE CODE IS LEVELTED WITH HS CONCRETE BRIDGE CODE IS LEVELTED WITH HS CONCRETE BRIDGE CODE IS LEVELTED WITH HS CONCRETE BRIDGE CODE IS ...
[{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-02-09T04:19:51.811254", "task": "table", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 16384}]
013.png
<table><tr><td>TOILET 6.00x4.20</td><td>OPEN TERRACE</td></tr><tr><td>ROOM 3.60x4.20</td><td>OPEN TO SKY</td></tr><tr><td>ROOM 3.60x4.20</td><td></td></tr><tr><td>ROOM 3.60x4.20</td><td></td></tr><tr><td>ROOM 3.60x4.20</td><td></td></tr><tr><td>ROOM 3.60x4.20</td><td></td></tr><tr><td>ROOM 4.83x4.20</td><td></td></tr><...
[{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-02-09T04:19:51.811254", "task": "table", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 16384}]

Document OCR using GLM-OCR

This dataset contains OCR results from images in minhpvo/ocr-input using GLM-OCR, a compact 0.9B OCR model achieving SOTA performance.

Processing Details

  • Source Dataset: minhpvo/ocr-input
  • Model: zai-org/GLM-OCR
  • Task: table recognition
  • Number of Samples: 13
  • Processing Time: 2.3 min
  • Processing Date: 2026-02-09 04:19 UTC

Configuration

  • Image Column: image
  • Output Column: markdown
  • Dataset Split: train
  • Batch Size: 16
  • Max Model Length: 8,192 tokens
  • Max Output Tokens: 16,384
  • Temperature: 0.01
  • Top P: 1e-05
  • GPU Memory Utilization: 80.0%

Model Information

GLM-OCR is a compact, high-performance OCR model:

  • 0.9B parameters
  • 94.62% on OmniDocBench V1.5
  • CogViT visual encoder + GLM-0.5B language decoder
  • Multi-Token Prediction (MTP) loss for efficiency
  • Multilingual: zh, en, fr, es, ru, de, ja, ko
  • MIT licensed

Dataset Structure

The dataset contains all original columns plus:

  • markdown: The extracted text in markdown format
  • inference_info: JSON list tracking all OCR models applied to this dataset

Reproduction 

uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/glm-ocr.py \
    minhpvo/ocr-input \
    <output-dataset> \
    --image-column image \
    --batch-size 16 \
    --task table

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