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: 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).

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

Alternatively, "141" is a significant number in Chinese linguistics and education: : It is organized into three categories: TE141K-C

: These systems often use dual-tower neural networks to help students combine these 141 components into thousands of valid Chinese characters, improving engagement and memorization. TE141K: Artistic Text Benchmark for Text Effect Transfer

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 . TE141K: Artistic Text Benchmark for Text Effect Transfer

: This is the "Tiger" radical in the Kangxi system. It serves as a semantic component for characters related to tigers or "fierceness".

: The dataset features 152 professionally designed styles applied to Chinese characters, English letters, and numerals. It serves as a semantic component for characters

: 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