SEACrowd/emot

EmoT是一个从社交媒体平台Twitter收集的情感分类数据集。该数据集包含约4000条印度尼西亚口语推文，涵盖了五种不同的情感标签：愤怒、恐惧、快乐、爱和悲伤。数据集分为训练集、验证集和测试集，分别包含3521、440和442条数据。

EmoT is an emotion classification dataset collected from the social media platform Twitter. It contains approximately 4,000 colloquial Indonesian tweets, covering five distinct emotion labels: anger, fear, joy, love, and sadness. The dataset is split into training, validation and test sets, with 3521, 440 and 442 samples respectively.

原始信息汇总

数据集概述

EmoT是一个情感分类数据集，收集自社交媒体平台Twitter。该数据集包含约4000条印度尼西亚口语语言的推文，涵盖五种不同的情感标签：愤怒、恐惧、快乐、爱和悲伤。数据集分为三个部分：3521条训练数据、440条验证数据和442条测试数据。

语言

印度尼西亚语

支持的任务

情感分类

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

如果您在使用Emot数据集的工作中，请引用以下内容：

@inproceedings{saputri2018emotion, title={Emotion classification on indonesian twitter dataset}, author={Saputri, Mei Silviana and Mahendra, Rahmad and Adriani, Mirna}, booktitle={2018 International Conference on Asian Language Processing (IALP)}, pages={90--95}, year={2018}, organization={IEEE} }

@inproceedings{wilie2020indonlu, title={IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding}, author={Wilie, Bryan and Vincentio, Karissa and Winata, Genta Indra and Cahyawijaya, Samuel and Li, Xiaohong and Lim, Zhi Yuan and Soleman, Sidik and Mahendra, Rahmad and Fung, Pascale and Bahar, Syafri and others}, booktitle={Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing}, pages={843--857}, year={2020} }

@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} }

搜集汇总

背景与挑战

背景概述

SEACrowd/emot 是一个印尼语情感分类数据集，包含约4000条来自社交平台Twitter的印尼口语化推文，标注了愤怒、恐惧、快乐、爱和悲伤五种情感标签。数据集划分为训练集3521条、验证集440条和测试集442条，适用于自然语言理解任务，属于SEACrowd多语言多模态数据项目的一部分。