Datasets:

davanstrien
/

encyclopaedia_britannica_illustrated-dots-ocr

label class label 2 classes	id stringlengths 9 9	meta stringlengths 61 213	markdown stringlengths 0 76.8k	inference_info stringclasses 1 value
0not-illustrated	149979622	Encyclopaedia Britannica - Third edition, Volume 6, DIA-ETH - EB.5	EGY To pay any thing certain with regard to the nature of the foil or mineral productions. The thes. arise from the barbary and periploitation of the people, who imagine that all the various Ægyptians are the children of the sun, and that by their magic art to discover the treasures which the genii have concealed unde...	[{"model_id": "rednote-hilab/dots.ocr", "column_name": "markdown", "timestamp": "2025-10-22T14:28:16.860515", "prompt_mode": "ocr"}]
0not-illustrated	193108325	Encyclopaedia Britannica - Eighth edition, Volume 8, Diamond-Entail - EB.16	ELECTRICITY. Phenomena, etc., and Laws, which they had been excited, we should have found that the rubber which excited the glass gave out reBUSIVE electricity, and that the rubber which excited the wax RESISTIVE electricity. Hence we learn, That in electrical exultation positive and negative electricity are differe...	[{"model_id": "rednote-hilab/dots.ocr", "column_name": "markdown", "timestamp": "2025-10-22T14:28:16.860515", "prompt_mode": "ocr"}]
0not-illustrated	144850376	Encyclopaedia Britannica - Second edition, Volume 5, G-J - EB.4	Chap. III. HERALDRY Chap. III. Cefleury Figures. Reptiles and insects as tortoises, ferretes, grass-hoppers, &c. and their parts. Stems as trees, planty, flowers, herbs, &c. and their parts. Stems; as diamonds, rubies, pebbles, rocks, &c. *These charges have, as well as ordinances, divers proportions and ...	[{"model_id": "rednote-hilab/dots.ocr", "column_name": "markdown", "timestamp": "2025-10-22T14:28:16.860515", "prompt_mode": "ocr"}]
0not-illustrated	192200897	"Encyclopaedia Britannica, or, a Dictionary of arts, sciences, and miscellaneous literature : enlarg(...TRUNCATED)	"Malachi, A fan lounsereth his father, and a man fowrit his\nIf then I be, a father, where is my son(...TRUNCATED)	"[{\"model_id\": \"rednote-hilab/dots.ocr\", \"column_name\": \"markdown\", \"timestamp\": \"2025-10(...TRUNCATED)
0not-illustrated	144133901	"Encyclopaedia Britannica; or, A dictionary of arts and sciences, compiled upon a new plan … - Fir(...TRUNCATED)	"# BOOK-K-EEPING.\n\n## § 2. What the Balancers in proper Foreign Trade are.\n\n1. *Voyage to, or f(...TRUNCATED)	"[{\"model_id\": \"rednote-hilab/dots.ocr\", \"column_name\": \"markdown\", \"timestamp\": \"2025-10(...TRUNCATED)
0not-illustrated	144850370	Encyclopaedia Britannica - Second edition, Volume 1, A-AST - EB.4	"ADM, A\n\n[85]\n\nADM, A\n\nAdmiralty\n\nAdmiralty\n\nAdmiralty\n\nAdmiralty\n\nAdmiralty\n\nAdmira(...TRUNCATED)	"[{\"model_id\": \"rednote-hilab/dots.ocr\", \"column_name\": \"markdown\", \"timestamp\": \"2025-10(...TRUNCATED)
0not-illustrated	192984256	"Encyclopaedia Britannica, or, a Dictionary of arts, sciences, and miscellaneous literature : enlarg(...TRUNCATED)	"R U S\n\n[350]\n\nR U S\n\nRufus, extinct, but their former volcanic fume is evinced by the appeara(...TRUNCATED)	"[{\"model_id\": \"rednote-hilab/dots.ocr\", \"column_name\": \"markdown\", \"timestamp\": \"2025-10(...TRUNCATED)
0not-illustrated	144133902	"Encyclopaedia Britannica; or, A dictionary of arts and sciences, compiled upon a new plan … - Fir(...TRUNCATED)	"FORM is so useful, among mechanics, for a sort of mould\nwherein any thing is fashioned or wrought:(...TRUNCATED)	"[{\"model_id\": \"rednote-hilab/dots.ocr\", \"column_name\": \"markdown\", \"timestamp\": \"2025-10(...TRUNCATED)
0not-illustrated	194167545	Encyclopaedia Britannica - Third edition, Volume 2, ANG-BAR - EB.6	"The effeminate words of this time say, that this\nfame followed Julian from place to place; and as (...TRUNCATED)	"[{\"model_id\": \"rednote-hilab/dots.ocr\", \"column_name\": \"markdown\", \"timestamp\": \"2025-10(...TRUNCATED)
0not-illustrated	144850373	Encyclopaedia Britannica - Second edition, Volume 2, Astronomy-BZO - EB.4	"AUR\n\n[918]\n\nAUR\n\nAurora\nBorealis.\n\nAurora\nBorealis.\n\nConcluding the caufe of this pheno(...TRUNCATED)	"[{\"model_id\": \"rednote-hilab/dots.ocr\", \"column_name\": \"markdown\", \"timestamp\": \"2025-10(...TRUNCATED)

End of preview. Expand in Data Studio

Document OCR using dots.ocr

This dataset contains OCR results from images in NationalLibraryOfScotland/encyclopaedia_britannica_illustrated using DoTS.ocr, a compact 1.7B multilingual model.

Processing Details

Source Dataset: NationalLibraryOfScotland/encyclopaedia_britannica_illustrated
Model: rednote-hilab/dots.ocr
Number of Samples: 100
Processing Time: 5.4 min
Processing Date: 2025-10-22 14:28 UTC

Configuration

Image Column: image
Output Column: markdown
Dataset Split: train
Batch Size: 256
Prompt Mode: ocr
Max Model Length: 16,000 tokens
Max Output Tokens: 14,000
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/encyclopaedia_britannica_illustrated \
    <output-dataset> \
    --image-column image \
    --batch-size 256 \
    --prompt-mode ocr \
    --max-model-len 16000 \
    --max-tokens 14000 \
    --gpu-memory-utilization 0.8

Generated with 🤖 UV Scripts

Downloads last month: 6

Size of downloaded dataset files:

15 MB

Size of the auto-converted Parquet files:

15 MB

Number of rows:

100