Graphemic HTR ground truth dataset for an Early New High German transcription model (15th centruy)

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Authors: Adam Juszczak, Frederik Skidzun
Cited by: 0

Abstract

This repository contains a set of training data for ATR models (Kraken). It contains 50 pages of ground truth as image files (jpg) and transcription files (PAGE xml). The ground truth contains 50 pages including 2,177 lines with 18,626 word tokens and 113,491 characters. Please refer to the README.md file for further information. A ground truth dataset following a graphemic transcription of the same data conntained within this repository may be found here: Diplomatic HTR-Ground Truth dataset . Authors The data in this repository was prepared and curated by Adam Juszczak (ORCiD: 0009-0000-5330-6183) and Frederik Skidzun (ORCiD: 0009-0002-7712-4207) of the Regesta Imperii - Regesta of Emperor Frederik III. License This dataset is made available under the CC-BY 4.0 license.

Fields of Study & Subjects

Handwritten Text Recognition Techniques Digital Humanities and Scholarship Vehicle License Plate Recognition

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 February 2026
Document type
Dataset