MiBio: A dataset for OCR post-processing evaluation

Jie Mei; Aminul Islam; Abidalrahman Moh'd; Yajing Wu; Evangelos E Milios

doi:10.1016/j.dib.2018.08.099

MiBio: A dataset for OCR post-processing evaluation

Data Brief. 2018 Sep 15:21:251-255. doi: 10.1016/j.dib.2018.08.099. eCollection 2018 Dec.

Authors

Jie Mei¹, Aminul Islam², Abidalrahman Moh'd¹, Yajing Wu¹, Evangelos E Milios¹

Affiliations

¹ Faculty of Computer Science, Dalhousie University, Canada.
² School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA 70503, USA.

Abstract

We introduce a dataset for OCR post-processing model evaluation. This dataset contains fully aligned OCR texts and the ground truth recognition texts of a English biodiversity book. To better used for benchmark evaluation, we extracted the following information in TSV files: 1) 2907 OCR-generated errors with position in the OCR texts and correction in the ground truth text, 2) ground truth word and sentence segmentation of the OCR texts. In this article, we detail the data preprocessing and provide quantitative data analysis.