dataset_info:
features:
- name: image
dtype: image
- name: alto
dtype: string
- name: filename
dtype: string
splits:
- name: train
num_bytes: 440129470
num_examples: 350
- name: val
num_bytes: 58958626
num_examples: 50
- name: test
num_bytes: 59181301
num_examples: 50
download_size: 554065486
dataset_size: 558269397
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: val
path: data/val-*
- split: test
path: data/test-*
license: cc-by-4.0
language:
- de
tags:
- handwriting-text-recognition
- htr
- early-modern-german
- historical-documents
pretty_name: HTR Dataset ICFHR 2016
HTR Dataset ICFHR 2016
Dataset Description
The HTR Dataset ICFHR 2016 is a historical document image dataset primarily intended for Handwriting Text Recognition (HTR) research and benchmarking.
This dataset was created as part of the European Commission's READ project (Recognition and Enrichment of Archival Documents) and consists of a subset of documents from the Ratsprotokolle collection, which contains minutes of council meetings held from 1470 to 1805.
The documents are written in Early Modern German and feature complex handwriting, making this a challenging resource for HTR algorithms. It was notably used in the HTR competition held at the ICFHR 2016 conference.
Data Structure
The dataset is distributed across two main archives: Train-And-Val-ICFHR-2016.tgz and Test-ICFHR-2016.tgz.
The training and validation sets comprise 400 pages. The ground-truth transcription is provided at the line level within the standard PAGE XML format (not plain text transcripts). Each data instance generally includes a page image and the corresponding PAGE XML file.
Dataset Creation
Source Data
The data originates from the Ratsprotokolle collection (minutes of council meetings from 1470 to 1805).
Creators
The primary creators of this specific dataset compilation are: A.H. Toselli, V. Romero, M. Villegas, E. Vidal, and J.A. Sánchez.
License
The dataset is licensed under the Creative Commons Attribution 4.0 International (CC-BY-4.0) license.
Citation
When using this dataset, please cite the original Zenodo record as follows:
@inproceedings{ToselliRomeroVillegasVidalSanchez2018,
author = {Toselli, A. H. and Romero, V. and Villegas, M. and Vidal, E. and S\'{a}nchez, J. A.},
title = {HTR Dataset ICFHR 2016},
publisher = {Zenodo},
year = {2018},
doi = {10.5281/zenodo.1164045},
url = {[https://zenodo.org/records/1164045](https://zenodo.org/records/1164045)}
}