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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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VMP_HP-ext_2

Authors: Ahmad Droby; Daria Vasyutinsky Shapira; Irina Rabaev; Berat Kurar Bakarat; Jihad El-Sana;
Abstract

The VML-HP-ext collection contains 715 page images excerpted from 171 different manuscripts covering 14 medieval writing Hebrew styles, accompanied by their hard and soft GT labels. We also provide the official split of the VML-HP-ext into training, typical test, and blind test sets. The typical test set includes unseen pages of the manuscripts from the training set. While training and typical test sets are disjoint on the page level, they do share the same set of manuscripts. Therefore, we also provide the blind test set, which consists of manuscripts that do not appear in the training set. The blind test set imitates a real-life scenario, where scholars would like to obtain a classification for a previously unseen document. In this version, several labels were corrected.

For more details, please refer to [1]. When using this dataset in research work, please cite [1]. [1] A.Droby, D. Vasyutinsky Shapira, I. Rabaev, B. Kurar Barakat, and J. El-Sana. Hard and Soft Labeling for Hebrew Paleography: A Case Study. Accepted to the 15th IAPR International Workshop on Document Analysis System (https://das2022.univ-lr.fr/index.php/)

Keywords

Script Type Classification, Hard And Soft-labeling, Medieval Hebrew Manuscripts, Digital Paleography

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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14