Datasets:

Languages:
Indonesian
ArXiv:
License:
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metadata
license: unknown
language:
  - ind
pretty_name: Indonglish
task_categories:
  - sentiment-analysis
tags:
  - sentiment-analysis

Indonglish-dataset was constructed based on keywords derived from the sociolinguistic phenomenon observed among teenagers in South Jakarta. The dataset was designed to tackle the semantic task of sentiment analysis, incorporating three distinct label categories: positive, negative, and neutral. The annotation of the dataset was carried out by a panel of five annotators, each possessing expertise language and data science.

Languages

ind

Supported Tasks

Sentiment Analysis

Dataset Usage

Using datasets library

from datasets import load_dataset
dset = datasets.load_dataset("SEACrowd/indonglish", trust_remote_code=True)

Using seacrowd library

# Load the dataset using the default config
dset = sc.load_dataset("indonglish", schema="seacrowd")
# Check all available subsets (config names) of the dataset
print(sc.available_config_names("indonglish"))
# Load the dataset using a specific config
dset = sc.load_dataset_by_config_name(config_name="<config_name>")

More details on how to load the seacrowd library can be found here.

Dataset Homepage

https://github.com/laksmitawidya/indonglish-dataset

Dataset Version

Source: 1.0.0. SEACrowd: 2024.06.20.

Dataset License

Unknown (unknown)

Citation

If you are using the Indonglish dataloader in your work, please cite the following:

@article{Astuti2023,
title = {Code-Mixed Sentiment Analysis using Transformer for Twitter Social Media Data},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0141053},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0141053},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {10},
author = {Laksmita Widya Astuti and Yunita Sari and Suprapto}
}


@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}
}