Cyrillic-MNIST: a Cyrillic Version of the MNIST Dataset

Bolat Tleubayev, Zhanel Zhexenova, Kenessary Koishybay, Anara Sandygulova


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
Anthology ID:
2022.lrec-1.510
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
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 Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
4767–4773
Language:
URL:
https://aclanthology.org/2022.lrec-1.510
DOI:
Bibkey:
Cite (ACL):
Bolat Tleubayev, Zhanel Zhexenova, Kenessary Koishybay, and Anara Sandygulova. 2022. Cyrillic-MNIST: a Cyrillic Version of the MNIST Dataset. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 4767–4773, Marseille, France. European Language Resources Association.
Cite (Informal):
Cyrillic-MNIST: a Cyrillic Version of the MNIST Dataset (Tleubayev et al., LREC 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.lrec-1.510.pdf
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