Dataset

Ground Truth transcriptions for training OCR of historical Arabic handwritten texts

Public Deposited

Creator
  • British Library  ( ISNI )
  • Keinan-Schoonbaert, Adi  ( ORCID   ISNI )
2019

Abstract
  • This dataset comprises 120 digitised images (TIFF files) drawn from a selection of historical Arabic scientific manuscripts (10th-19th century) digitised through the British Library Qatar Foundation Partnership. Also contained are ground truth transcriptions (XML) for each page that can be used for training optical character recognition (OCR) or handwritten text recognition (HTR) software on historical Arabic handwritten texts. The folder contains the images and ground truth used for the RASM2018 and RASM2019 competitions, part of ICFHR 2018 and ICDAR 2019. The images are out of copyright and the transcriptions are also public domain.

Items:

Thumbnail File Name Date Uploaded Visibility File Size Actions
RASM2019_part_2.zip 2019-11-12 Public 5 GB
RASM2019_part_1.zip 2019-11-12 Public 3.7 GB
Arabic_HTR__Collection_2.jpg 2019-11-13 Public 330 KB

Metadata

Resource Type
  • Dataset
Creator
  • British Library  ( ISNI )
  • Keinan-Schoonbaert, Adi  ( ORCID   ISNI )
Contributor
  • PRImA Research Lab  ( Collaborative Institution )
Date published
  • 2019
Institution
  • British Library
Project name
  • Automatic Transcription of Historical Handwritten Arabic Texts
Official URL
Related URL
Licence
  • CC Public Domain Mark 1.0
DOI
  • doi.org/10.23636/1135
Keyword
Additional Information
  • The two .ZIP files are 3.73 and 4.96 GB, each containing 60 high resolution (400dpi) images in TIFF format accompanied by transcriptions in PAGE XML. Total download size for both parts (120 images and transcriptions) is 8.7 GB. Shelfmarks are used for all file names.

Relationships

In Collection: