SEACrowd/smsa

Smsa是一个句子级的情感分析数据集（Purwarianti和Crisdayanti，2019），包含从多个在线平台收集的印尼语评论和评价。这些文本由几位印尼语言学家进行标注，标注的情感类别包括正面、负面和中性。

SmSA is a sentence-level sentiment analysis dataset (Purwarianti and Crisdayanti, 2019) that consists of comments and reviews in Indonesian collected from multiple online platforms. The text was annotated by several Indonesian linguists, with three possible sentiment labels: positive, negative, and neutral.

原始信息汇总

SmSA 数据集概述

基本信息

• 语言: 印度尼西亚语 (ind)
• 任务类别: 情感分析 (sentiment-analysis)
• 标签: 情感分析

数据集描述

SmSA 是一个句子级别的情感分析数据集，由 Purwarianti 和 Crisdayanti 于 2019 年创建。该数据集收集了来自多个在线平台的印度尼西亚语评论和评论，经过爬取和印度尼西亚语言学家的标注，构建了包含正面、负面和中性三种情感的数据集。

支持的任务

• 情感分析

数据集使用

使用 datasets 库

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

检查数据集的所有可用子集（配置名称）

print(sc.available_config_names("smsa"))

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

https://github.com/IndoNLP/indonlu

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

如果您在工作中使用了 Smsa 数据集，请引用以下内容： bibtex @INPROCEEDINGS{8904199, author={Purwarianti, Ayu and Crisdayanti, Ida Ayu Putu Ari}, booktitle={2019 International Conference of Advanced Informatics: Concepts, Theory and Applications (ICAICTA)}, title={Improving Bi-LSTM Performance for Indonesian Sentiment Analysis Using Paragraph Vector}, year={2019}, pages={1-5}, doi={10.1109/ICAICTA.2019.8904199} }

@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} }