Datasets:

davanstrien
/

ocr-affordances-dots

page_id stringclasses 8 values	page_type stringclasses 1 value	page_number stringclasses 6 values	ocr_text stringclasses 7 values	markdown stringclasses 1 value	inference_info stringclasses 1 value
brit_00000	Normal			[OCR ERROR]	[{"model_id": "rednote-hilab/dots.ocr", "column_name": "markdown", "timestamp": "2026-06-05T14:15:24.289407", "prompt_mode": "ocr"}]
brit_00389	Normal	336	PlateXXHI.	[OCR ERROR]	[{"model_id": "rednote-hilab/dots.ocr", "column_name": "markdown", "timestamp": "2026-06-05T14:15:24.289407", "prompt_mode": "ocr"}]
brit_00778	Normal	647	B O Themp, tranfplanted them at a great diftance from anymales of the fame genus, and befides had them inclofedby double rows of hedges. The refult was, that eachof thefe plants produced great quantities of fertile feeds.Tournefort made the fame trial upon the Inpulus, Mil¬ler upon the bryony, and Geoffroy upon the may...	[OCR ERROR]	[{"model_id": "rednote-hilab/dots.ocr", "column_name": "markdown", "timestamp": "2026-06-05T14:15:24.289407", "prompt_mode": "ocr"}]
brit_01167	Normal	6	DAS (30 6Porn'll of Exeter, which fends two members to parlia¬ment: W. long. 40, and N. lat. 50° 25'.DARWENT, a river, which,' rifing in the Peak of Dar-byfhire, runs from north to fouth through that county,and falls into the Trent.DASYPUS, the Armadillo,in zoology, a genus ofqua¬drupeds belonging to the...	[OCR ERROR]	[{"model_id": "rednote-hilab/dots.ocr", "column_name": "markdown", "timestamp": "2026-06-05T14:15:24.289407", "prompt_mode": "ocr"}]
brit_01556	Normal	733	C HI A m?1t mull'be acknowledged, That thefe two dlalles of wordsare io nearly allied to one another, that it is difficult toalcertain, in all cafes, the precife boundary betweenthem.Befides thefe, there are other words which fometimesaflame the province of pronouns, and- are generally con¬sidered as belonging to ...	[OCR ERROR]	[{"model_id": "rednote-hilab/dots.ocr", "column_name": "markdown", "timestamp": "2026-06-05T14:15:24.289407", "prompt_mode": "ocr"}]
brit_01945	Normal	72	71 M E D Iamong the foldters, they are called camp-fevers ; in Hun¬gary, an Hungaric fever. But the pjague, or peftilence,is known when buboes and carbuncles arlfe in variousparts of the body. The fweating ficknefs had its rife inEngland, in which the patient fell into a violent fweat,of which many died in a day’s time...	[OCR ERROR]	[{"model_id": "rednote-hilab/dots.ocr", "column_name": "markdown", "timestamp": "2026-06-05T14:15:24.289407", "prompt_mode": "ocr"}]
brit_02334	Normal		OPTgreat, apper.r"s from tl.e light of a candle; whrdi, ifthere be no obftacle in the way to obflrud the palTage ofits rays, will Gil all the fpace within two miles of thecfardle every way with luminous particles, before it haslofl: the lead: fenfible part of its fubdance.A ray of light is a continued dream of ihe...	[OCR ERROR]	[{"model_id": "rednote-hilab/dots.ocr", "column_name": "markdown", "timestamp": "2026-06-05T14:15:24.289407", "prompt_mode": "ocr"}]
brit_02723	Normal			[OCR ERROR]	[{"model_id": "rednote-hilab/dots.ocr", "column_name": "markdown", "timestamp": "2026-06-05T14:15:24.289407", "prompt_mode": "ocr"}]

Document OCR using dots.ocr

This dataset contains OCR results from images in davanstrien/ocr-affordances-pages using DoTS.ocr, a compact 1.7B multilingual model.

Processing Details

Source Dataset: davanstrien/ocr-affordances-pages
Model: rednote-hilab/dots.ocr
Number of Samples: 8
Processing Time: 3.1 min
Processing Date: 2026-06-05 14:15 UTC

Configuration

Image Column: image
Output Column: markdown
Dataset Split: train
Batch Size: 16
Prompt Mode: ocr
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 \
    davanstrien/ocr-affordances-pages \
    <output-dataset> \
    --image-column image \
    --batch-size 16 \
    --prompt-mode ocr \
    --max-model-len 8192 \
    --max-tokens 8192 \
    --gpu-memory-utilization 0.8

Generated with 🤖 UV Scripts

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5.69 MB