pykale/bln600-img-patch
BLN600 Image Patches This dataset provides BLN600's image patches for fine-tuning vision-language models on post-OCR correction, introduced in "Image-Informed Post-OCR Correction with Vision-Language Models" (EMNLP 2026 Findings). Each patch corresponds to a text sequence in BLN600 and is cropped from the Gale British Library Newspapers collection, using word-level bounding boxes from the collection's ALTO XML OCR layout data. It is intended to be used alongside the code and… See the full description on the dataset page: https://huggingface.co/datasets/pykale/bln600-img-patch.
BLN600 Image Patches
This dataset provides BLN600's image patches for fine-tuning vision-language models on post-OCR correction, introduced in "Image-Informed Post-OCR Correction with Vision-Language Models" (EMNLP 2026 Findings). Each patch corresponds to a text sequence in BLN600 and is cropped from the Gale British Library Newspapers collection, using word-level bounding boxes from the collection's ALTO XML OCR layout data. It is intended to be used alongside the code and CSVs in Shef-AIRE/vlms_post-ocr_correction, which provide the corresponding OCR text, ground truth, metadata, and CER/WER for each patch.
Data Fields
License
Released under CC BY-NC-ND 4.0 (non-commercial, no derivatives). Permission was granted by Gale on behalf of the company and the British Library partners for non-commercial release, publicly accessible with no additional access stipulations.
Citation
Citation to follow on publication.
@inproceedings{thomas-etal-2026-image,
title = "Image-Informed Post-OCR Correction with Vision-Language Models",
author = "Thomas, Alan and
Liu, Xianyuan and
Lu, Haiping and
Gaizauskas, Robert",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2026",
year = "2026",
publisher = "Association for Computational Linguistics",
}