Dataset Open Access
{"DOI":"10.25592/uhhfdm.12671","abstract":"<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>","author":[{"family":"Hussein Mohammed"}],"id":"12671","issued":{"date-parts":[[2023,6,30]]},"language":"eng","title":"Mini-dataset for VL-Models fine-tuning (VL-Tune-dataset-mini)","type":"dataset","version":"1.0"}