SEACrowd/nusaparagraph_emot

Nusaparagraph Emot数据集是一个高质量的人工标注语料库，旨在扩展对印度尼西亚12种低资源语言的支持。该数据集通过母语者撰写的段落来提高词汇多样性和文化相关性，支持情感分类任务，涵盖了6种基本情绪（恐惧、厌恶、悲伤、快乐、愤怒、惊讶）和一种额外情绪标签（羞耻）。数据集的语言包括btk、bew、bug、jav、mad、mak、min、mui、rej、sun等。The Nusaparagraph Emot Dataset is a high-quality manually annotated corpus designed to expand support for 12 low-resource languages of Indonesia. This corpus uses paragraphs written by native speakers to enhance lexical diversity and cultural relevance, supports sentiment classification tasks, and covers 6 basic emotions (fear, disgust, sadness, joy, anger, surprise) plus an additional emotional label (shame). The languages included in the dataset are btk, bew, bug, jav, mad, mak, min, mui, rej, sun, etc.

原始信息汇总

数据集概述

语言

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

支持任务

• 情感分类

数据集使用

使用 datasets 库

python from datasets import load_dataset dset = datasets.load_dataset("SEACrowd/nusaparagraph_emot", 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_emot", schema="seacrowd")

检查数据集的所有可用子集（配置名称）

print(sc.available_config_names("nusaparagraph_emot"))

使用特定配置加载数据集

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

数据集主页

• NusaWrites

数据集版本

• 源版本: 1.0.0
• SEACrowd版本: 2024.06.20

数据集许可

• 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plaintext @unpublished{anonymous2023nusawrites:,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 others}, year={2024}, eprint={2406.10118}, journal={arXiv preprint arXiv: 2406.10118} }