SEACrowd/identifikasi_bahasa

The identifikasi-bahasa dataset includes text samples in Indonesian, Ambonese, and Javanese. Each entry is comprised of cleantext, representing the sentence content, and a label identifying the language. The manual input process involved grouping the data by language categories, with labels for language identification and cleantext representing sentence content. The dataset, excluding punctuation and numbers, consists of a minimum of 3,000 Ambonese, 10,000 Javanese, and 3,500 Indonesian language entries, meeting the research's minimum standard for effective language identification.

Languages

ind, jav, abs

Supported Tasks

Language Identification

Dataset Usage

Using datasets library

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

Using seacrowd library

# Load the dataset using the default config
dset = sc.load_dataset("identifikasi_bahasa", schema="seacrowd")
# Check all available subsets (config names) of the dataset
print(sc.available_config_names("identifikasi_bahasa"))
# 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/joanitolopo/identifikasi-bahasa

Dataset Version

Source: 1.0.0. SEACrowd: 2024.06.20.

Dataset License

Apache license 2.0 (apache-2.0)

Citation

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

@article{Tuhenay2021,
  title = {Perbandingan Klasifikasi Bahasa Menggunakan Metode Naïve Bayes Classifier (NBC) Dan Support Vector Machine (SVM)},
  volume = {4},
  ISSN = {2656-1948},
  url = {http://dx.doi.org/10.33387/jiko.v4i2.2958},
  DOI = {10.33387/jiko.v4i2.2958},
  number = {2},
  journal = {JIKO (Jurnal Informatika dan Komputer)},
  publisher = {LPPM Universitas Khairun},
  author = {Tuhenay,  Deglorians},
  year = {2021},
  month = aug,
  pages = {105-111}
}


@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}
}