Table des matières: :: Library Catalog

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yu, Jia, Yuan, Fei, Min, Rui, Yu, Jing, Chu, Pei, Li, Jiayang, Li, Wei, Zhang, Ruijie, Li, Zhenxiang, Ren, Zhifei, Zheng, Dong, Zhang, Wenjian, Teng, Yan, Meng, Lingyu, Jin, ZhenJiang, Qiu, Jiantao, Wang, ShaSha, Tu, Zhongying, Lin, Dahua, Wang, Yu, Qiao, Yu, Wang, Yanfeng, He, Conghui
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language
Accès en ligne:	https://arxiv.org/abs/2501.14506
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Table des matières:

This paper introduces the open-source dataset WanJuanSiLu, designed to provide high-quality training corpora for low-resource languages, thereby advancing the research and development of multilingual models. To achieve this, we have developed a systematic data processing framework tailored for low-resource languages. This framework encompasses key stages such as data extraction, corpus cleaning, content deduplication, security filtering, quality evaluation, and theme classification. Through the implementation of this framework, we have significantly improved both the quality and security of the dataset, while maintaining its linguistic diversity. As of now, data for all five languages have been fully open-sourced. The dataset can be accessed at https://opendatalab.com/applyMultilingualCorpus, and GitHub repository is available at https://github.com/opendatalab/WanJuan3.0

Documents similaires