: 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).
: The dataset features 152 professionally designed styles applied to Chinese characters, English letters, and numerals. : It is organized into three categories: TE141K-C
: Some modern educational systems select 141 commonly used radicals from national standards (like GB13000.1) to create interactive learning games. : Researchers use it to train GANs (Generative
: 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 Scale : It contains 141,081 text effect/glyph pairs
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 .
Based on the recognizable "141" and fragments related to datasets and Chinese character components, this most likely refers to the or a related pedagogical system for learning Chinese radicals. 1. TE141K: Artistic Text Dataset
Alternatively, "141" is a significant number in Chinese linguistics and education: