Dataset Open Access
{"@context":"https://schema.org/","@id":"http://doi.org/10.25592/uhhfdm.12671","@type":"Dataset","creator":[{"@id":"https://orcid.org/0000-0001-5020-3592","@type":"Person","affiliation":"Universit\u00e4t Hamburg","name":"Hussein Mohammed"}],"datePublished":"2023-06-30","description":"<p>A minimal dataset of 125 image-text pairs and 10 text queries for fine-tuning vision-language models on manuscript images. It is dedicated to the task of text-based image retrieval, and splited into "train" and "test" sets. The train set consists of 100 image-text pairs, while the test set consists of 25 image-text pairs. This dataset is constructed from the following sources:</p>\n\n<p>- images from the <a href=\"http://spotting.univ-rouen.fr/\">DocExplore</a> dataset of medieval manuscripts.</p>\n\n<p>- images from two manuscripts from Al-\u1e24ar\u012br\u012b, <em>Maq\u0101m\u0101t</em>, © Paris, Bibliothèque nationale de France. Département des manuscrits, namely MS arabe 3929 and MS arabe 5847.</p>\n\n<p>- the descriptions in the text files are prepared by Martina Dinelli</p>\n\n<p>The research for this work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC 2176 ‘Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures', project no. 390893796. The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universität Hamburg.</p>","distribution":[{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/14eae713-6556-4275-b8ae-59e0465e03dc/VL_Drawing_Dataset.zip","encodingFormat":"zip"}],"identifier":"http://doi.org/10.25592/uhhfdm.12671","inLanguage":{"@type":"Language","alternateName":"eng","name":"English"},"keywords":["Vision-Language Models, Dataset"],"license":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Mini-dataset for VL-Models fine-tuning (VL-Tune-dataset-mini)","url":"https://www.fdr.uni-hamburg.de/record/12671","version":"1.0"}