SEACrowd/nusaparagraph_rhetoric

Nusaparagraph Rhetoric数据集旨在为印度尼西亚的12种低资源语言构建高质量的语料库，以解决现有语料库在词汇多样性和文化相关性方面的不足。该数据集通过母语者段落写作生成，涵盖了5种修辞模式（叙述、说服、论证、描述和说明），并在NusaWrites基准中进行了评估。NusaMenulis语料库进一步扩展了5种新语言的覆盖范围，包括Ambon、Bima、Makassarese、Palembang / Musi和Rejang。数据集的使用方法包括通过`datasets`库和`seacrowd`库加载，数据集的主页、版本、许可证和引用信息也在README文件中提供。

The Nusaparagraph Rhetoric dataset aims to construct high-quality corpora for 12 low-resource languages in Indonesia, addressing the shortcomings of existing corpora in terms of lexical diversity and cultural relevance. Generated via paragraph writing by native speakers, the dataset covers five rhetorical modes: narration, persuasion, argumentation, description, and exposition, and has been evaluated on the NusaWrites benchmark. The NusaMenulis corpus further expands the coverage to five additional languages: Ambon, Bima, Makassarese, Palembang/Musi, and Rejang. The dataset can be loaded using the `datasets` and `seacrowd` libraries, and its homepage, version, license, and citation information are provided in the README file.

原始信息汇总

Nusaparagraph Rhetoric 数据集概述

语言

• btk
• bew
• bug
• jav
• mad
• mak
• min
• mui
• rej
• sun

支持的任务

• 修辞模式分类

数据集使用

使用 datasets 库

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

使用 seacrowd 库

python import seacrowd as sc

使用默认配置加载数据集

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

检查数据集的所有可用子集（配置名称）

print(sc.available_config_names("nusaparagraph_rhetoric"))

使用特定配置加载数据集

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

数据集版本

• 源版本：1.0.0
• SEACrowd版本：2024.06.20

数据集许可证

• Creative Commons Attribution Share-Alike 4.0 International

引用

plaintext @unpublished{anonymous2023nusawrites:,
title={NusaWrites: Constructing High-Quality Corpora for Underrepresented and Extremely Low-Resource Languages},
author={Anonymous},
journal={OpenReview Preprint},
year={2023},
note={anonymous preprint under review}
}

@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} }