SEACrowd/indqner

IndQNER is a NER dataset created by manually annotating the Indonesian translation of Quran text. The dataset contains 18 named entity categories as follow: "Allah": Allah (including synonim of Allah such as Yang maha mengetahui lagi mahabijaksana) "Throne": Throne of Allah (such as 'Arasy) "Artifact": Artifact (such as Ka'bah, Baitullah) "AstronomicalBody": Astronomical body (such as bumi, matahari) "Event": Event (such as hari akhir, kiamat) "HolyBook": Holy book (such as AlQur'an) "Language": Language (such as bahasa Arab "Angel": Angel (such as Jibril, Mikail) "Person": Person (such as Bani Israil, Fir'aun) "Messenger": Messenger (such as Isa, Muhammad, Musa) "Prophet": Prophet (such as Adam, Sulaiman) "AfterlifeLocation": Afterlife location (such as Jahanam, Jahim, Padang Mahsyar) "GeographicalLocation": Geographical location (such as Sinai, negeru Babilonia) "Color": Color (such as kuning tua) "Religion": Religion (such as Islam, Yahudi, Nasrani) "Food": Food (such as manna, salwa)

Languages

ind

Supported Tasks

Named Entity Recognition

Dataset Usage

Using datasets library

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

Using seacrowd library

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

Dataset Version

Source: 1.0.0. SEACrowd: 2024.06.20.

Dataset License

Unknown

Citation

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

@misc{,
author = {Ria Hari Gusmita, Asep Fajar Firmansyah, Khodijah Khuliyah},
title = {{IndQNER: a NER Benchmark Dataset on Indonesian Translation of Quran}},
url = {https://github.com/dice-group/IndQNER},
year = {2022}
}


@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}
}