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Introduced by the , TE141K is a large-scale dataset specifically designed for artistic font generation and text effects transfer . Scale : It contains 141,081 text effect/glyph pairs .

: Researchers use it to train GANs (Generative Adversarial Networks) , such as TET-GAN, to automatically apply complex visual textures and effects to plain text. 2. Radical-Based Learning Systems Introduced by the , TE141K is a large-scale

: It is organized into three categories: TE141K-C (Chinese characters, 65 styles), TE141K-E (English alphabet, 67 styles), and TE141K-S (symbols and other languages, 20 styles). Introduced by the

: Some modern educational systems select 141 commonly used radicals from national standards (like GB13000.1) to create interactive learning games. such as TET-GAN