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./mis1997image/Screenshot 2026-02-26 at 15.38.11.png
TABLE 1 IRON AND STEEL SCRAP, PIG IRON, AND DIRECT-REDUCED IRON STATISTICS 1/ FOR STEEL PRODUCERS 2/ (Thousand metric tons) | | June 1997 | | Total for steel producers | Year to date | | | :--- | :--- | :--- | :--- | :--- | :--- | | Integrated steel producers 3/ | Electric furnace steel producers 4/ | | Integrated st...
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./mis1997image/Screenshot 2026-02-26 at 15.38.22.png
TABLE 2 RECEIPTS FROM OUTSIDE SOURCES, PRODUCTION, CONSUMPTION, AND STOCKS OF IRON AND STEEL SCRAP, BY GRADE, 1/ FOR STEEL PRODUCERS 2/ (Thousand metric tons) Item June 1997 Consumption of purchased and home scrap 3/ Ending stocks Year to date Consumption of purchased and home scrap 3/ Carbon steel: Low-phosphorus p...
[{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-04-02T18:30:55.156621", "task": "ocr", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 8192}]
./mis1997image/Screenshot 2026-02-26 at 15.38.29.png
TABLE 3 RECEIPTS FROM OUTSIDE SOURCES, PRODUCTION, AND CONSUMPTION OF IRON AND STEEL SCRAP, 1/ BY REGION AND STATE, FOR STEEL PRODUCERS 2/ (Thousand metric tons) Region and State June 1997 Consumption of purchased and home scrap 3/ Year to date Consumption of purchased and home scrap 3/ Mid-Atlantic and New England:...
[{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-04-02T18:30:55.156621", "task": "ocr", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 8192}]
./mis1997image/Screenshot 2026-02-26 at 15.38.32.png
TABLE 4 RECEIPTS OF IRON AND STEEL SCRAP, 1/ BY REGION 2/ AND GRADE, FOR STEEL PRODUCERS 3/ 4/ (Thousand metric tons) Item Mid-Atlantic and New England North Central South Atlantic South Central Mountain and Pacific Year to date Mid-Atlantic and New England North Central South Atlantic South Central Mountain and Paci...
[{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-04-02T18:30:55.156621", "task": "ocr", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 8192}]
./mis1997image/Screenshot 2026-02-26 at 15.38.35.png
TABLE 5 CONSUMPTION OF IRON AND STEEL SCRAP 1/ BY REGION 2/ AND GRADE, FOR STEEL PRODUCERS 3/ (Thousand metric tons) | Item | June 1997 | | | Mountain and Pacific | Year to date | Mid-Atlantic and New England | North Central | South Atlantic | South Central | Mountain and Pacific | | :--- | :--- | :--- | :--- | :--- ...
[{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-04-02T18:30:55.156621", "task": "ocr", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 8192}]
./mis1997image/Screenshot 2026-02-26 at 15.38.39.png
TABLE 6 U.S. EXPORTS OF IRON AND STEEL SCRAP 1/ BY SELECTED REGION AND COUNTRY 2/ (Thousand metric tons and thousand dollars) Region and country May 1997 Year to date Quantity Value Quantity Value North America and South America: Canada 130 17,500 583 70,200 Mexico 154 19,800 849 109,000 Venezuela 4 318 35 3,050 Othe...
[{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-04-02T18:30:55.156621", "task": "ocr", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 8192}]
./mis1997image/Screenshot 2026-02-26 at 15.38.43.png
TABLE 7 U.S. EXPORTS 1/ OF IRON AND STEEL SCRAP 2/ BY REGION AND SELECTED CUSTOMS DISTRICT 3/ (Thousand metric tons and thousand dollars) Region and customs district | May 1997 | Year to date | | :--- | :--- | :--- | | | Quantity | Value | | Canadian-U.S. Border: | | | | Buffalo, NY | 16 | 4,020 | 53 | 13,500 | | Det...
[{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-04-02T18:30:55.156621", "task": "ocr", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 8192}]
./mis1997image/Screenshot 2026-02-26 at 15.38.47.png
TABLE 8 U.S. EXPORTS OF IRON AND STEEL SCRAP AND OTHER FERROUS PRODUCTS BY GRADE 1/2/ (Thousand metric tons and thousand dollars) | Item | May 1997 | | Year to date | | :--- | :--- | :--- | :--- | | | Quantity | Value | Quantity | Value | | No. 1 heavy melting steel | 73 | 8,600 | 732 | 87,200 | | No. 2 heavy melting...
[{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-04-02T18:30:55.156621", "task": "ocr", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 8192}]
./mis1997image/Screenshot 2026-03-26 at 09.51.02.png
TABLE 9 U.S. IMPORTS FOR CONSUMPTION OF IRON AND STEEL SCRAP 1/2 BY SELECTED COUNTRY (Thousand metric tons and thousand dollars) | Country | May 1997 | Value | Year to date | | :--- | :--- | :--- | :--- | | Canada | 172 | 22,500 | 752 | 99,300 | | Japan | 3 | 393 | 19 | 2,460 | | Mexico | 8 | 2,300 | 98 | 11,600 | | ...
[{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-04-02T18:30:55.156621", "task": "ocr", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 8192}]
./mis1997image/Screenshot 2026-03-26 at 09.51.43.png
TABLE 10 U.S. IMPORTS FOR CONSUMPTION OF IRON AND STEEL SCRAP 1/2/ BY SELECTED CUSTOMS DISTRICT (Thousand metric tons and thousand dollars) | Customs district | May 1997 | Year to date | | :--- | :--- | :--- | | Quantity | Value | Quantity | Value | | Buffalo, NY | 40 | 6,180 | 141 | 23,400 | | Cleveland, OH | 7 | 62...
[{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-04-02T18:30:55.156621", "task": "ocr", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 8192}]
./mis1997image/Screenshot 2026-03-26 at 09.52.08.png
TABLE 11 U.S. IMPORTS OF IRON AND STEEL SCRAP AND OTHER FERROUS PRODUCTS BY GRADE 1/2/ (Thousand metric tons and thousand dollars) | Item | May 1997 | Value | Year to date | Value | | :--- | :--- | :--- | :--- | :--- | | Quantity | | | Quantity | | | No. 1 heavy melting steel | 15 | 1,940 | 24 | 3,010 | | No. 2 heavy...
[{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-04-02T18:30:55.156621", "task": "ocr", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 8192}]
./mis1997image/Screenshot 2026-03-26 at 09.52.18.png
TABLE 12 U.S. RAW STEEL PRODUCTION, RAW STEEL CAPABILITY UTILIZATION, AND CONTINUOUS CAST STEEL PRODUCTION Period Raw steel production, thousand metric tons 1/ Raw steel capability utilization, percent Continuous cast steel production, percent Monthly Year to date Monthly Year to date Monthly Year to date 1996: June ...
[{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-04-02T18:30:55.156621", "task": "ocr", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 8192}]
./mis1997image/Screenshot 2026-03-26 at 09.52.26.png
TABLE 13 COMPOSITE PRICES FOR NO. 1 HEAVY MELTING STEEL SCRAP AND PIG IRON Period American Metal Market No. 1 HMS Iron Age No. 1 HMS Iron Age Pig Iron $/lt $/t $/lt $/t $/lt $/t 1996: July 132.33 130.24 129.05 127.00 NA NA August 133.51 131.40 129.67 127.62 NA NA September 136.23 134.08 130.33 128.21 NA NA October 127...
[{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-04-02T18:30:55.156621", "task": "ocr", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 8192}]

Document OCR using GLM-OCR

This dataset contains OCR results from images in yhan86/mis1997image using GLM-OCR, a compact 0.9B OCR model achieving SOTA performance.

Processing Details

Configuration

  • Image Column: image
  • Output Column: markdown
  • Dataset Split: train
  • Batch Size: 16
  • Max Model Length: 8,192 tokens
  • Max Output Tokens: 8,192
  • 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-v2.py \
    yhan86/mis1997image \
    <output-dataset> \
    --image-column image \
    --batch-size 16 \
    --task ocr

Generated with UV Scripts (glm-ocr-v2.py)

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