MiBio: A dataset for OCR post-processing evaluation
Related Experiment Video
Updated: Feb 3, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
Published on: September 5, 2025
Jie Mei1, Aminul Islam2, Abidalrahman Moh'd1
1Faculty of Computer Science, Dalhousie University, Canada.
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.
Related Concept Videos
Role of Communication in the Nursing Process III: Evaluation and Documentation
Nursing Process for Patient and Caregiver Teaching III: Evaluation and Documentation
Nurses can use several methods to evaluate patient outcomes. For example, oral questions can assess cognitive learning,...
Post-traumatic Stress Disorder
Symptoms and Behavioral Manifestations
A spectrum of distressing symptoms characterizes PTSD. Recurrent flashbacks, where individuals involuntarily relive traumatic events,...
Parallel Processing
Information Processing Approach
Processes of Self-Presentation

