five

SEACrowd/sib_200

收藏
Hugging Face2024-06-24 更新2024-06-29 收录
下载链接:
https://hf-mirror.com/datasets/SEACrowd/sib_200
下载链接
链接失效反馈
官方服务:
资源简介:
SIB-200是基于Flores-200的最大公开主题分类数据集,涵盖了205种语言和方言。该数据集为所有205种语言提供了训练集、验证集和测试集。

SIB-200 is the largest publicly available topic classification dataset based on Flores-200 covering 205 languages and dialects. The train/validation/test sets are available for all the 205 languages.
提供机构:
SEACrowd
原始信息汇总

Sib 200 数据集概述

基本信息

  • 名称: Sib 200
  • 语言:
    • ace, ban, bjn, bug, ceb, ilo, ind, jav, kac, khm, lao, lus, min, mya, pag, shn, sun, tgl, tha, vie, war, zsm
  • 任务类别: 主题建模 (Topic Modeling)
  • 标签: 主题建模 (Topic Modeling)
  • 版本:
    • 源版本: 1.0.0
    • SEACrowd版本: 2024.06.20
  • 许可证: Creative Commons Attribution Share Alike 4.0 (cc-by-sa-4.0)

数据集描述

SIB-200 是基于 Flores-200 的最大公开主题分类数据集,涵盖 205 种语言和方言。训练集、验证集和测试集均适用于所有 205 种语言。

使用方法

使用 datasets

python from datasets import load_dataset dset = datasets.load_dataset("SEACrowd/sib_200", trust_remote_code=True)

使用 seacrowd

python import seacrowd as sc

使用默认配置加载数据集

dset = sc.load_dataset("sib_200", schema="seacrowd")

查看数据集的所有可用子集(配置名称)

print(sc.available_config_names("sib_200"))

使用特定配置加载数据集

dset = sc.load_dataset_by_config_name(config_name="<config_name>")

引用

如果使用 Sib 200 数据集,请引用以下内容:

@misc{adelani2023sib200, title={SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects}, author={David Ifeoluwa Adelani and Hannah Liu and Xiaoyu Shen and Nikita Vassilyev and Jesujoba O. Alabi and Yanke Mao and Haonan Gao and Annie En-Shiun Lee}, year={2023}, eprint={2309.07445}, archivePrefix={arXiv}, primaryClass={cs.CL} }

@article{lovenia2024seacrowd, title={SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages}, author={Holy Lovenia and Rahmad Mahendra and Salsabil Maulana Akbar and Lester James V. Miranda and Jennifer Santoso and Elyanah Aco and Akhdan Fadhilah and Jonibek Mansurov and Joseph Marvin Imperial and Onno P. Kampman and Joel Ruben Antony Moniz and Muhammad Ravi Shulthan Habibi and Frederikus Hudi and Railey Montalan and Ryan Ignatius and Joanito Agili Lopo and William Nixon and Börje F. Karlsson and James Jaya and Ryandito Diandaru and Yuze Gao and Patrick Amadeus and Bin Wang and Jan Christian Blaise Cruz and Chenxi Whitehouse and Ivan Halim Parmonangan and Maria Khelli and Wenyu Zhang and Lucky Susanto and Reynard Adha Ryanda and Sonny Lazuardi Hermawan and Dan John Velasco and Muhammad Dehan Al Kautsar and Willy Fitra Hendria and Yasmin Moslem and Noah Flynn and Muhammad Farid Adilazuarda and Haochen Li and Johanes Lee and R. Damanhuri and Shuo Sun and Muhammad Reza Qorib and Amirbek Djanibekov and Wei Qi Leong and Quyet V. Do and Niklas Muennighoff and Tanrada Pansuwan and Ilham Firdausi Putra and Yan Xu and Ngee Chia Tai and Ayu Purwarianti and Sebastian Ruder and William Tjhi and Peerat Limkonchotiwat and Alham Fikri Aji and Sedrick Keh and Genta Indra Winata and Ruochen Zhang and Fajri Koto and Zheng-Xin Yong and Samuel Cahyawijaya}, year={2024}, eprint={2406.10118}, journal={arXiv preprint arXiv: 2406.10118} }

5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作