language:
- ind
pretty_name: Id Multilabel Hs
task_categories:
- aspect-based-sentiment-analysis
tags:
- aspect-based-sentiment-analysis
The ID_MULTILABEL_HS dataset is collection of 13,169 tweets in Indonesian language, designed for hate speech detection NLP task. This dataset is combination from previous research and newly crawled data from Twitter. This is a multilabel dataset with label details as follows: -HS : hate speech label; -Abusive : abusive language label; -HS_Individual : hate speech targeted to an individual; -HS_Group : hate speech targeted to a group; -HS_Religion : hate speech related to religion/creed; -HS_Race : hate speech related to race/ethnicity; -HS_Physical : hate speech related to physical/disability; -HS_Gender : hate speech related to gender/sexual orientation; -HS_Gender : hate related to other invective/slander; -HS_Weak : weak hate speech; -HS_Moderate : moderate hate speech; -HS_Strong : strong hate speech.
Languages
ind
Supported Tasks
Aspect Based Sentiment Analysis
Dataset Usage
Using datasets library
from datasets import load_dataset
dset = datasets.load_dataset("SEACrowd/id_multilabel_hs", trust_remote_code=True)
Using seacrowd library
# Load the dataset using the default config
dset = sc.load_dataset("id_multilabel_hs", schema="seacrowd")
# Check all available subsets (config names) of the dataset
print(sc.available_config_names("id_multilabel_hs"))
# 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://aclanthology.org/W19-3506/
Dataset Version
Source: 1.0.0. SEACrowd: 2024.06.20.
Dataset License
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
Citation
If you are using the Id Multilabel Hs dataloader in your work, please cite the following:
@inproceedings{ibrohim-budi-2019-multi,
title = "Multi-label Hate Speech and Abusive Language Detection in {I}ndonesian {T}witter",
author = "Ibrohim, Muhammad Okky and
Budi, Indra",
booktitle = "Proceedings of the Third Workshop on Abusive Language Online",
month = aug,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-3506",
doi = "10.18653/v1/W19-3506",
pages = "46--57",
}
@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}
}