Datasets:

davanstrien
/

dots-ocr-handbooks

document_id stringclasses 50 values	page_number stringlengths 9 9	text stringlengths 0 5.08k	alto_xml stringlengths 595 133k	has_image bool 1 class	has_alto bool 1 class	layout stringlengths 49 13.9k	inference_info stringclasses 1 value
204486115	204788144	ENVIRONMENTAL PROTECTION Air Pollutants: UK Emissions of Selected Gases from All Sources Million tonnes Source: National Environmental Technology Centre regulations for emissions such as carbon dioxide, hydrocarbons, oxides of nitrogen and particulate matter. Three EC Directives agreed during the UK Presidency, and whi...	<?xml version="1.0" encoding="UTF-8"?> <alto xmlns="http://www.loc.gov/standards/alto/v3/alto.xsd"><Description><MeasurementUnit>pixel</MeasurementUnit><sourceImageInformation><fileName>./data/pdfs/204486115.pdf</fileName></sourceImageInformation><OCRProcessing ID="IdOcr"><ocrProcessingStep><processingDateTime>Wed Nov ...	true	true	[{"bbox": [402, 11, 557, 22], "category": "Page-header"}, {"bbox": [23, 60, 514, 78], "category": "Section-header"}, {"bbox": [23, 90, 93, 103], "category": "Text"}, {"bbox": [21, 109, 567, 411], "category": "Picture"}, {"bbox": [27, 426, 214, 438], "category": "Text"}, {"bbox": [24, 480, 281, 604], "category": "Text"}...	[{"model_id": "rednote-hilab/dots.ocr", "column_name": "layout", "timestamp": "2025-10-09T13:45:12.864064", "prompt_mode": "layout-only"}]
204486117	204805723	26: SCIENCE, ENGINEERING AND TECHNOLOGY Activities such as these are important in assuring continued interest in SET among young people making educational and career choices. They also help to enhance the public’s ability to relate to scientific issues in general and to make informed judgments about scientific developm...	<?xml version="1.0" encoding="UTF-8"?> <alto xmlns="http://www.loc.gov/standards/alto/v3/alto.xsd"><Description><MeasurementUnit>pixel</MeasurementUnit><sourceImageInformation><fileName>./data/pdfs/204486117.pdf</fileName></sourceImageInformation><OCRProcessing ID="IdOcr"><ocrProcessingStep><processingDateTime>Wed Nov ...	true	true	[{"bbox": [329, 13, 555, 26], "category": "Page-header"}, {"bbox": [22, 56, 278, 275], "category": "Text"}, {"bbox": [23, 303, 72, 317], "category": "Section-header"}, {"bbox": [22, 326, 276, 575], "category": "Text"}, {"bbox": [22, 602, 239, 621], "category": "Section-header"}, {"bbox": [19, 626, 270, 863], "category"...	[{"model_id": "rednote-hilab/dots.ocr", "column_name": "layout", "timestamp": "2025-10-09T13:45:12.864064", "prompt_mode": "layout-only"}]
189742219	189881032	Peterhead ■ Chapelcross ▲ Dinorwig \ A Ffestiniog • Trawsfynydd Ratcliffe-on-Soar Rheidol v Sizewell A • Sizewell BO Tilbury W. Thurrock \| • Bradwell Pembi irthaw Didcot Oldbury Dungeness Ba^ Dungeness A ;ley R. A Hinkley R. B Electricity Shetland Islands Orkney Islands Dounreay Fasnakyle ★ 20 40 60 80 100120 km J I l ...	<?xml version="1.0" encoding="UTF-8"?> <alto xmlns="http://www.loc.gov/standards/alto/v3/alto.xsd"><Description><MeasurementUnit>pixel</MeasurementUnit><sourceImageInformation><fileName>./data/pdfs/189742219.pdf</fileName></sourceImageInformation><OCRProcessing ID="IdOcr"><ocrProcessingStep><processingDateTime>Wed Nov ...	true	true	[{"bbox": [25, 20, 112, 39], "category": "Section-header"}, {"bbox": [0, 49, 588, 924], "category": "Picture"}, {"bbox": [405, 0, 576, 178], "category": "Picture"}, {"bbox": [420, 24, 461, 50], "category": "Text"}, {"bbox": [504, 24, 551, 50], "category": "Text"}]	[{"model_id": "rednote-hilab/dots.ocr", "column_name": "layout", "timestamp": "2025-10-09T13:45:12.864064", "prompt_mode": "layout-only"}]
204486089	204586555	"8\nBRITAIN: AN OFFICIAL HANDBOOK\nBritain, as in all countries before the development of medical sc(...TRUNCATED)	"<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<alto xmlns=\"http://www.loc.gov/standards/alto/v3/alto(...TRUNCATED)	true	true	"[{\"bbox\": [62, 31, 71, 44], \"category\": \"Page-header\"}, {\"bbox\": [198, 35, 423, 49], \"cate(...TRUNCATED)	"[{\"model_id\": \"rednote-hilab/dots.ocr\", \"column_name\": \"layout\", \"timestamp\": \"2025-10-0(...TRUNCATED)
204486116	204791459	"Abbeys and Priories: p. 1, English Heritage Photo Library; p. 2, Crown Copyright, Historic\nScotlan(...TRUNCATED)	"<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<alto xmlns=\"http://www.loc.gov/standards/alto/v3/alto(...TRUNCATED)	true	true	"[{\"bbox\": [26, 64, 523, 101], \"category\": \"Text\"}, {\"bbox\": [26, 97, 527, 134], \"category\(...TRUNCATED)	"[{\"model_id\": \"rednote-hilab/dots.ocr\", \"column_name\": \"layout\", \"timestamp\": \"2025-10-0(...TRUNCATED)
189742213	189840602	"6\nSocial Welfare\nThe British social welfare system comprises the National Health Service, the\npe(...TRUNCATED)	"<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<alto xmlns=\"http://www.loc.gov/standards/alto/v3/alto(...TRUNCATED)	true	true	"[{\"bbox\": [63, 23, 485, 73], \"category\": \"Section-header\"}, {\"bbox\": [121, 171, 560, 300], (...TRUNCATED)	"[{\"model_id\": \"rednote-hilab/dots.ocr\", \"column_name\": \"layout\", \"timestamp\": \"2025-10-0(...TRUNCATED)
204486104	204702331	"Acknowledgment is made for photographs to: General Council\nof British Shipping for National Sea Tr(...TRUNCATED)	"<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<alto xmlns=\"http://www.loc.gov/standards/alto/v3/alto(...TRUNCATED)	true	true	"[{\"bbox\": [154, 59, 462, 234], \"category\": \"Text\"}, {\"bbox\": [164, 765, 472, 842], \"catego(...TRUNCATED)	"[{\"model_id\": \"rednote-hilab/dots.ocr\", \"column_name\": \"layout\", \"timestamp\": \"2025-10-0(...TRUNCATED)
204486092	204614323	"242\nBRITAIN: AN OFFICIAL HANDBOOK\nSociety of Film and\nTelevision Arts\nAssistance to\nBritish Fi(...TRUNCATED)	"<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<alto xmlns=\"http://www.loc.gov/standards/alto/v3/alto(...TRUNCATED)	true	true	"[{\"bbox\": [17, 57, 38, 68], \"category\": \"Page-header\"}, {\"bbox\": [131, 54, 349, 65], \"cate(...TRUNCATED)	"[{\"model_id\": \"rednote-hilab/dots.ocr\", \"column_name\": \"layout\", \"timestamp\": \"2025-10-0(...TRUNCATED)
204486095	205332263	"INDUSTRY\n261\nThe British Standards Institution (BSI) is a voluntary non-profit-making\nbody incor(...TRUNCATED)	"<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<alto xmlns=\"http://www.loc.gov/standards/alto/v3/alto(...TRUNCATED)	true	true	"[{\"bbox\": [134, 34, 197, 44], \"category\": \"Page-header\"}, {\"bbox\": [537, 34, 557, 46], \"ca(...TRUNCATED)	"[{\"model_id\": \"rednote-hilab/dots.ocr\", \"column_name\": \"layout\", \"timestamp\": \"2025-10-0(...TRUNCATED)
204486111	204752329	"BRITAIN 1995: AN OFFICIAL HANDBOOK\nsignificant contribution to the economy,\ndirectly providing ov(...TRUNCATED)	"<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<alto xmlns=\"http://www.loc.gov/standards/alto/v3/alto(...TRUNCATED)	true	true	"[{\"bbox\": [45, 23, 226, 35], \"category\": \"Page-header\"}, {\"bbox\": [44, 65, 288, 124], \"cat(...TRUNCATED)	"[{\"model_id\": \"rednote-hilab/dots.ocr\", \"column_name\": \"layout\", \"timestamp\": \"2025-10-0(...TRUNCATED)

End of preview. Expand in Data Studio

Document OCR using dots.ocr

This dataset contains OCR results from images in NationalLibraryOfScotland/Britain-and-UK-Handbooks-Dataset using DoTS.ocr, a compact 1.7B multilingual model.

Processing Details

Source Dataset: NationalLibraryOfScotland/Britain-and-UK-Handbooks-Dataset
Model: rednote-hilab/dots.ocr
Number of Samples: 2,000
Processing Time: 12.5 min
Processing Date: 2025-10-09 13:45 UTC

Configuration

Image Column: image
Output Column: markdown
Dataset Split: train
Batch Size: 512
Prompt Mode: layout-only
Max Model Length: 8,192 tokens
Max Output Tokens: 8,192
GPU Memory Utilization: 80.0%

Model Information

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

🌍 100+ Languages - Multilingual document support
📊 Table extraction - Structured data recognition
📐 Formulas - Mathematical notation preservation
📝 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 \
    NationalLibraryOfScotland/Britain-and-UK-Handbooks-Dataset \
    <output-dataset> \
    --image-column image \
    --batch-size 512 \
    --prompt-mode layout-only \
    --max-model-len 8192 \
    --max-tokens 8192 \
    --gpu-memory-utilization 0.8

Generated with 🤖 UV Scripts

Downloads last month: 21