SEACrowd/su_emot

Su Emot数据集是一个用于巽他语文本情绪分类的数据集。该数据集收集自2019年1月至3月期间的Twitter API，共包含2518条推文。这些推文通过一些代表巽他语情绪的标签进行筛选，例如#persib、#corona、#saredih等。数据集包含四种不同的情绪：愤怒、喜悦、恐惧和悲伤。每条推文都标注了相关的情绪。为了数据验证，作者咨询了巽他语教师进行专家验证。

This is a dataset for emotion classification of Sundanese text. The dataset is gathered from Twitter API between January and March 2019 with 2518 tweets in total. The tweets filtered by using some hashtags which are represented Sundanese emotion, for instance,#persib,#corona,#saredih,#nyakakak,#garoblog,#sangsara,#gumujeng,#bungah,#sararieun,#ceurik, and#hariwang. This dataset contains four distinctive emotions: anger, joy, fear, and sadness. Each tweet is annotated using related emotion. For data validation, the authors consulted a Sundanese language teacher for expert validation.

原始信息汇总

Su Emot 数据集概述

基本信息

• 名称: Su Emot
• 语言: 巽他语 (Sundanese)
• 任务类别: 情感分类 (Emotion Classification)
• 标签: 情感分类

数据集描述

• 数据来源: 2019年1月至3月期间从Twitter API收集的2518条推文。
• 数据筛选: 使用特定情感相关的标签进行筛选，如#persib, #corona, #saredih, #nyakakak, #garoblog, #sangsara, #gumujeng, #bungah, #sararieun, #ceurik, 和 #hariwang。
• 情感类别: 包含四种情感：愤怒、喜悦、恐惧和悲伤。
• 数据标注: 每条推文都根据相关情感进行标注。
• 数据验证: 由巽他语教师进行专家验证。

使用方法

使用 datasets 库

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

查看数据集的所有可用子集（配置名称）

print(sc.available_config_names("su_emot"))

使用特定配置加载数据集

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

数据集版本

• 源版本: 1.0.0
• SEACrowd版本: 2024.06.20

数据集许可证

• 许可证: 未知 (UNKNOWN)

引用

plaintext @INPROCEEDINGS{ 9297929,
author={Putra, Oddy Virgantara and Wasmanson, Fathin Muhammad and Harmini, Triana and Utama, Shoffin Nahwa},
booktitle={2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)},
title={Sundanese Twitter Dataset for Emotion Classification},
year={2020},
volume={},
number={},
pages={391--395},
doi={10.1109/CENIM51130.2020.9297929} }

@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} }