Datasets:

davanstrien
/

handbooks-nanonets-ocr2-output

document_id stringlengths 9 9	page_number stringlengths 9 9	text stringlengths 0 4.54k	alto_xml stringlengths 595 116k	has_image bool 1 class	has_alto bool 1 class	markdown stringlengths 57 8.34k	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	<header>ENVIRONMENTAL PROTECTION</header> Air Pollutants: UK Emissions of Selected Gases from All Sources Million tonnes <img>A line chart titled "Air Pollutants: UK Emissions of Selected Gases from All Sources" showing emissions from 1971 to 1996. The y-axis is labeled "Million tonnes" and ranges from 0 to 10. The ...	[{"column_name": "markdown", "model_id": "nanonets/Nanonets-OCR2-3B", "processing_date": "2025-10-13T17:49:53.367849", "batch_size": 16, "max_tokens": 4096, "gpu_memory_utilization": 0.8, "max_model_len": 8192, "script": "nanonets-ocr2.py", "script_version": "1.0.0", "script_url": "https://huggingface.co/datasets/uv-sc...
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	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 develop...	[{"column_name": "markdown", "model_id": "nanonets/Nanonets-OCR2-3B", "processing_date": "2025-10-13T17:49:53.367849", "batch_size": 16, "max_tokens": 4096, "gpu_memory_utilization": 0.8, "max_model_len": 8192, "script": "nanonets-ocr2.py", "script_version": "1.0.0", "script_url": "https://huggingface.co/datasets/uv-sc...
189742219	189881032	"Peterhead ■\nChapelcross\n▲ Dinorwig \\\nA Ffestiniog\n• Trawsfynydd\nRatcliffe-on-Soar\nRhei(...TRUNCATED)	"<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<alto xmlns=\"http://www.loc.gov/standards/alto/v3/alto(...TRUNCATED)	true	true	"<header>Electricity</header>\n\nOperated by SSEB from January 1990\n\n<img>Map of the United Kingdo(...TRUNCATED)	"[{\"column_name\": \"markdown\", \"model_id\": \"nanonets/Nanonets-OCR2-3B\", \"processing_date\": (...TRUNCATED)
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	"<page_number>8</page_number>\nBRITAIN: AN OFFICIAL HANDBOOK\n\nBritain, as in all countries before (...TRUNCATED)	"[{\"column_name\": \"markdown\", \"model_id\": \"nanonets/Nanonets-OCR2-3B\", \"processing_date\": (...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	"Abbey and Priories: p. 1, English Heritage Photo Library; p. 2, Crown Copyright, Historic Scotland;(...TRUNCATED)	"[{\"column_name\": \"markdown\", \"model_id\": \"nanonets/Nanonets-OCR2-3B\", \"processing_date\": (...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	"# 6 Social Welfare\n\nThe British social welfare system comprises the National Health Service, the (...TRUNCATED)	"[{\"column_name\": \"markdown\", \"model_id\": \"nanonets/Nanonets-OCR2-3B\", \"processing_date\": (...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	"Acknowledgment is made for photographs to: General Council of British Shipping for National Sea Tra(...TRUNCATED)	"[{\"column_name\": \"markdown\", \"model_id\": \"nanonets/Nanonets-OCR2-3B\", \"processing_date\": (...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	"<page_number>242</page_number>\nBRITAIN: AN OFFICIAL HANDBOOK\n\nThe National Film Theatre, on the (...TRUNCATED)	"[{\"column_name\": \"markdown\", \"model_id\": \"nanonets/Nanonets-OCR2-3B\", \"processing_date\": (...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	"INDUSTRY <page_number>261</page_number>\n\nThe British Standards Institution (BSI) is a voluntary n(...TRUNCATED)	"[{\"column_name\": \"markdown\", \"model_id\": \"nanonets/Nanonets-OCR2-3B\", \"processing_date\": (...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	"BRITAIN 1995: AN OFFICIAL HANDBOOK\n\nsignificant contribution to the economy, directly providing o(...TRUNCATED)	"[{\"column_name\": \"markdown\", \"model_id\": \"nanonets/Nanonets-OCR2-3B\", \"processing_date\": (...TRUNCATED)

End of preview. Expand in Data Studio

Document OCR using Nanonets-OCR2-3B

This dataset contains markdown-formatted OCR results from images in NationalLibraryOfScotland/Britain-and-UK-Handbooks-Dataset using Nanonets-OCR2-3B.

Processing Details

Source Dataset: NationalLibraryOfScotland/Britain-and-UK-Handbooks-Dataset
Model: nanonets/Nanonets-OCR2-3B
Model Size: 3B parameters
Number of Samples: 50
Processing Time: 8.7 minutes
Processing Date: 2025-10-13 17:49 UTC

Configuration

Image Column: image
Output Column: markdown
Dataset Split: train
Batch Size: 16
Max Model Length: 8,192 tokens
Max Output Tokens: 4,096
GPU Memory Utilization: 80.0%

Model Information

Nanonets-OCR2-3B is a state-of-the-art document OCR model that excels at:

📐 LaTeX equations - Mathematical formulas preserved in LaTeX format
📊 Tables - Extracted and formatted as HTML
📝 Document structure - Headers, lists, and formatting maintained
🖼️ Images - Captions and descriptions included in <img> tags
☑️ Forms - Checkboxes rendered as ☐/☑
🔖 Watermarks - Wrapped in <watermark> tags
📄 Page numbers - Wrapped in <page_number> tags
🌍 Multilingual - Supports multiple languages

Dataset Structure

The dataset contains all original columns plus:

markdown: The extracted text in markdown format with preserved structure
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 Nanonets OCR2 script:

uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/nanonets-ocr2.py \
    NationalLibraryOfScotland/Britain-and-UK-Handbooks-Dataset \
    <output-dataset> \
    --model nanonets/Nanonets-OCR2-3B \
    --image-column image \
    --batch-size 16 \
    --max-model-len 8192 \
    --max-tokens 4096 \
    --gpu-memory-utilization 0.8

Performance

Processing Speed: ~0.1 images/second
GPU Configuration: vLLM with 80% GPU memory utilization

Generated with 🤖 UV Scripts

Downloads last month: 10

Number of rows:

Total file size:

8.08 MB