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Cyrillic-MNIST: a Cyrillic Version of the MNIST Dataset

Proceedings of the Thirteenth International Conference on Language Resources and Evaluation (LREC 2022)

DOI:10.63317/5q5sicj588ca

Abstract

This paper presents a new handwritten dataset, Cyrillic-MNIST, a Cyrillic version of the MNIST dataset, comprising of 121,234 samples of 42 Cyrillic letters. The performance of Cyrillic-MNIST is evaluated using standard deep learning approaches and is compared to the Extended MNIST (EMNIST) dataset. The dataset is available at https://github.com/bolattleubayev/cmnist

Details

Paper ID
lrec2022-main-510
Pages
pp. 4767-4773
BibKey
tleubayev-etal-2022-cyrillic
Editors
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis2020
Publisher
European Language Resources Association (ELRA)
ISSN
2522-2686
ISBN
79-10-95546-38-2
Conference
Thirteenth Language Resources and Evaluation Conference
Location
Marseille, France
Date
20 - 25 June 2022

Authors

  • BT

    Bolat Tleubayev

  • ZZ

    Zhanel Zhexenova

  • KK

    Kenessary Koishybay

  • AS

    Anara Sandygulova

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