filipino_gay_lang / README.md
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metadata
language:
  - fil
pretty_name: Filipino Gay Lang
task_categories:
  - self-supervised-pretraining
tags:
  - self-supervised-pretraining

The dataset contains 4000+ Filipino tweets in gay language or lingo also called swardspeak in slang terminology. The tweet dataset was collected from February 2013 to November 2014 using the following commonly used gay words as filters: jinet ("hot"), ditey ("here"), imbyerna ("annoying"), etc. The original paper makes use of the corpus to develop a gay language translator to understand the meaning of phrases using gay words in Filipino.

Languages

fil

Supported Tasks

Self Supervised Pretraining

Dataset Usage

Using datasets library

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

Using seacrowd library

# Load the dataset using the default config
dset = sc.load_dataset("filipino_gay_lang", schema="seacrowd")
# Check all available subsets (config names) of the dataset
print(sc.available_config_names("filipino_gay_lang"))
# 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/imperialite/Philippine-Languages-Online-Corpora/tree/master/Tweets/Gay%20language

Dataset Version

Source: 1.0.0. SEACrowd: 2024.06.20.

Dataset License

CC-BY-SA 4.0

Citation

If you are using the Filipino Gay Lang dataloader in your work, please cite the following:

\
@article{oco2015witchebelles,
  author    = {Oco, Nathaniel and Fajutagana, Raymart and Lim, Christine Mae and Mi{\~n}on, Judi Diane and Morano, Julie-Ann and Tinoco, Ryan Christian},
  title     = {Witchebelles Anata Magcharot kay Mudra na Nagsusuba si Akech: Developing a Rule-based Unidirectional Beki Lingo to Filipino Translator},
  journal   = {Journal of Sciences, Technology and Arts Research},
  volume    = {1},
  number    = {1},
  year      = {2015}
}


@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}
}