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

Cheng-Wei Lin, Wan-Hsuan Hsieh, Kai-Xin Guan, Chan-Jan Hsu, Chia-Chen Kuo +4 more
11/25/2024
cs.CLcs.DB

No confident code implementation found for this paper. 2 possible matches can be shown below.

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.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 2 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{lin2024finewebzhtw,
  title  = {FineWeb-zhtw: Scalable Curation of Traditional Chinese Text Data from the Web},
  author = {Cheng-Wei Lin and Wan-Hsuan Hsieh and Kai-Xin Guan and Chan-Jan Hsu and Chia-Chen Kuo and Chuan-Lin Lai and Chung-Wei Chung and Ming-Jen Wang and Da-Shan Shiu},
  year   = {2024},
  eprint = {2411.16387},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2411.16387v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2411.16387.svg)](https://codeofpaper.com/paper/2411.16387)

Discussion