FineWeb-zhtw: Scalable Curation of Traditional Chinese Text Data from the Web

November 25, 2024 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors Cheng-Wei Lin, Wan-Hsuan Hsieh, Kai-Xin Guan, Chan-Jan Hsu, Chia-Chen Kuo, Chuan-Lin Lai, Chung-Wei Chung, Ming-Jen Wang, Da-Shan Shiu arXiv ID 2411.16387 Category cs.CL: Computation & Language Cross-listed cs.DB Citations 1 Venue arXiv.org Last Checked 5 months ago
Abstract
The quality and size of a pretraining dataset significantly influence the performance of large language models (LLMs). While there have been numerous efforts in the curation of such a dataset for English users, there is a relative lack of similar initiatives for Traditional Chinese. Building upon this foundation of FineWeb, we introduce FineWeb-zhtw, a dataset tailored specifically for Traditional Chinese users. We came up with multiple stages of meticulously designed filters to cater to the linguistic difference between English and Traditional Chinese, to ensure comprehensiveness and quality. We determined effectiveness from querying dataset samples with three main objectives. Our code and datasets are publicly available.
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