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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 .

The string of characters you provided appears to be a result of (text encoding corruption). This happens when text is decoded using an incorrect character set—likely a mix-up between UTF-8 , Big5 , and GBK encodings often used for Chinese characters. Introduced by the , TE141K is a large-scale

: 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 This happens when text is decoded using an

: 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). Radical-Based Learning Systems : It is organized into

: The dataset features 152 professionally designed styles applied to Chinese characters, English letters, and numerals.