SEACrowd/indolem_sentiment

IndoLEM Sentiment数据集是一个用于印尼语情感分析的基准数据集。该数据集包含三个部分：训练集、开发集和测试集，分别包含3638、399和1011个句子。数据来源于Twitter和酒店评论，并且实验基于5折交叉验证。数据集支持情感分析任务，并提供了使用`datasets`和`seacrowd`库加载数据的方法。数据集的版本为1.0.0，许可证为Creative Commons Attribution Share-Alike 4.0 International，并提供了相关的引用信息。

The IndoLEM Sentiment dataset is a benchmark dataset for sentiment analysis in the Indonesian language. It consists of three parts: a training set, a development set, and a test set, containing 3638, 399, and 1011 sentences respectively. The data is sourced from Twitter and hotel reviews, and the experiment is based on 5-fold cross-validation. The dataset supports sentiment analysis tasks and provides methods to load the data using the `datasets` and `seacrowd` libraries. The dataset version is 1.0.0, licensed under Creative Commons Attribution Share-Alike 4.0 International, and includes relevant citation information.

原始信息汇总

数据集概述

数据集名称

Indolem Sentiment

任务类别

情感分析

语言

印尼语

数据集描述

IndoLEM (Indonesian Language Evaluation Montage) 是一个全面的印尼语基准测试，包含七个印尼语自然语言处理任务。该基准分为三个支柱：形态句法、语义和语篇。

本数据集基于二元分类（正面和负面），数据分布如下：

• 训练集：3638个句子
• 开发集：399个句子
• 测试集：1011个句子

数据来源包括：

1. Twitter（Koto和Rahmaningtyas，2017）
2. 酒店评论（来自GitHub上的absa-playground项目）

实验基于5折交叉验证。

支持的任务

情感分析

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 Indolem Sentiment 数据集，请引用以下内容：

@article{DBLP:journals/corr/abs-2011-00677, author = {Fajri Koto and Afshin Rahimi and Jey Han Lau and Timothy Baldwin}, title = {IndoLEM and IndoBERT: {A} Benchmark Dataset and Pre-trained Language Model for Indonesian {NLP}}, journal = {CoRR}, volume = {abs/2011.00677}, year = {2020}, url = {https://arxiv.org/abs/2011.00677}, eprinttype = {arXiv}, eprint = {2011.00677}, timestamp = {Fri, 06 Nov 2020 15:32:47 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2011-00677.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }

@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} }