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    <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</abstract>
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%0 Conference Proceedings
%T Cyrillic-MNIST: a Cyrillic Version of the MNIST Dataset
%A Tleubayev, Bolat
%A Zhexenova, Zhanel
%A Koishybay, Kenessary
%A Sandygulova, Anara
%S Proceedings of the Thirteenth Language Resources and Evaluation Conference
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F tleubayev-etal-2022-cyrillic
%X 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
%U https://aclanthology.org/2022.lrec-1.510
%P 4767-4773

Markdown (Informal)

[Cyrillic-MNIST: a Cyrillic Version of the MNIST Dataset](https://aclanthology.org/2022.lrec-1.510) (Tleubayev et al., LREC 2022)

• Cyrillic-MNIST: a Cyrillic Version of the MNIST Dataset (Tleubayev et al., LREC 2022)

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.