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Highland News issue: 2031
1
8
1
Saturday 02/09/1922
1922
Highland News, Limited
Inverness
https://view.nls.uk/manifest/2437/3296/243732960/manifest.json
[{"bbox": [191, 146, 239, 158], "category": "Section-header"}, {"bbox": [105, 166, 324, 199], "category": "Text"}, {"bbox": [177, 208, 247, 219], "category": "Section-header"}, {"bbox": [105, 219, 324, 291], "category": "Text"}, {"bbox": [177, 300, 239, 311], "category": "Section-header"}, {"bbox": [105, 312, 324, 345]...
[{"model_id": "rednote-hilab/dots.ocr", "column_name": "markdown", "timestamp": "2026-02-23T16:07:48.418352", "prompt_mode": "layout-only"}]
1,536
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Highland News issue: 2031
2
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Saturday 02/09/1922
1922
Highland News, Limited
Inverness
https://view.nls.uk/manifest/2437/3296/243732960/manifest.json
[{"bbox": [119, 90, 134, 107], "category": "Page-header"}, {"bbox": [474, 90, 1074, 111], "category": "Page-header"}, {"bbox": [100, 128, 313, 178], "category": "Text"}, {"bbox": [131, 185, 290, 201], "category": "Section-header"}, {"bbox": [175, 201, 240, 211], "category": "Text"}, {"bbox": [101, 212, 313, 246], "cate...
[{"model_id": "rednote-hilab/dots.ocr", "column_name": "markdown", "timestamp": "2026-02-23T16:07:48.418352", "prompt_mode": "layout-only"}]
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1922
Highland News, Limited
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https://view.nls.uk/manifest/2437/3296/243732960/manifest.json
[{"bbox": [489, 85, 1090, 106], "category": "Text"}, {"bbox": [1442, 88, 1433, 106], "category": "Text"}, {"bbox": [114, 136, 296, 271], "category": "Section-header"}, {"bbox": [120, 278, 293, 361], "category": "Text"}, {"bbox": [120, 361, 293, 453], "category": "Text"}, {"bbox": [128, 447, 293, 457], "category": "Text...
[{"model_id": "rednote-hilab/dots.ocr", "column_name": "markdown", "timestamp": "2026-02-23T16:07:48.418352", "prompt_mode": "layout-only"}]
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Highland News issue: 2031
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Saturday 02/09/1922
1922
Highland News, Limited
Inverness
https://view.nls.uk/manifest/2437/3296/243732960/manifest.json
[{"bbox": [145, 82, 160, 100], "category": "Page-header"}, {"bbox": [466, 81, 980, 103], "category": "Page-header"}, {"bbox": [995, 82, 1060, 101], "category": "Page-header"}, {"bbox": [224, 145, 392, 169], "category": "Section-header"}, {"bbox": [136, 197, 487, 255], "category": "Text"}, {"bbox": [123, 286, 506, 375],...
[{"model_id": "rednote-hilab/dots.ocr", "column_name": "markdown", "timestamp": "2026-02-23T16:07:48.418352", "prompt_mode": "layout-only"}]
1,520
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Highland News issue: 2031
5
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Saturday 02/09/1922
1922
Highland News, Limited
Inverness
https://view.nls.uk/manifest/2437/3296/243732960/manifest.json
[{"bbox": [473, 77, 1073, 100], "category": "Page-header"}, {"bbox": [1379, 86, 1394, 102], "category": "Page-header"}, {"bbox": [96, 124, 311, 149], "category": "Text"}, {"bbox": [198, 149, 303, 161], "category": "Text"}, {"bbox": [114, 182, 295, 205], "category": "Section-header"}, {"bbox": [191, 205, 300, 217], "cat...
[{"model_id": "rednote-hilab/dots.ocr", "column_name": "markdown", "timestamp": "2026-02-23T16:07:48.418352", "prompt_mode": "layout-only"}]

Document OCR using dots.ocr

This dataset contains OCR results from images in davanstrien/nls-highland-news-sample-small using DoTS.ocr, a compact 1.7B multilingual model.

Processing Details

Configuration

  • Image Column: image
  • Output Column: markdown
  • Dataset Split: train
  • Batch Size: 16
  • Prompt Mode: layout-only
  • Max Model Length: 16,384 tokens
  • Max Output Tokens: 16,384
  • GPU Memory Utilization: 80.0%

Model Information

DoTS.ocr is a compact multilingual document parsing model that excels at:

  • 🌍 100+ Languages - Multilingual document support
  • πŸ“Š Table extraction - Structured data recognition
  • πŸ“ Formulas - Mathematical notation preservation
  • πŸ“ Layout-aware - Reading order and structure preservation
  • 🎯 Compact - Only 1.7B parameters

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

Usage

from datasets import load_dataset
import json

# Load the dataset
dataset = load_dataset("{output_dataset_id}", split="train")

# Access the markdown text
for example in dataset:
    print(example["markdown"])
    break

# View all OCR models applied to this dataset
inference_info = json.loads(dataset[0]["inference_info"])
for info in inference_info:
    print(f"Column: {info['column_name']} - Model: {info['model_id']}")

Reproduction

This dataset was generated using the uv-scripts/ocr DoTS OCR script:

uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/dots-ocr.py \
    davanstrien/nls-highland-news-sample-small \
    <output-dataset> \
    --image-column image \
    --batch-size 16 \
    --prompt-mode layout-only \
    --max-model-len 16384 \
    --max-tokens 16384 \
    --gpu-memory-utilization 0.8

Generated with πŸ€– UV Scripts

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