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Datasets:
SEACrowd
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uit_vicov19qa

Tasks:
Question Answering
Languages:
Vietnamese
ArXiv:
Tags:
question-answering
License:
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metadata
license: unknown
language:
  - vie
pretty_name: Uit Vicov19Qa
task_categories:
  - question-answering
tags:
  - question-answering

Uit Vicov19Qa

UIT-ViCoV19QA is the first Vietnamese community-based question answering dataset for developing question answering systems for COVID-19. The dataset comprises 4,500 question-answer pairs collected from trusted medical sources, with at least one answer and at most four unique paraphrased answers per question. This dataset contains 1800 questions that have at least two answers, 700 questions have at least three answers and half of them have a maximum of four paraphrased answers.

Languages

vie

Supported Tasks

Question Answering

Dataset Usage

Using datasets library 

    from datasets import load_dataset
    dset = datasets.load_dataset("SEACrowd/uit_vicov19qa", trust_remote_code=True)

Using seacrowd library 

# Load the dataset using the default config
    dset = sc.load_dataset("uit_vicov19qa", schema="seacrowd")
# Check all available subsets (config names) of the dataset
    print(sc.available_config_names("uit_vicov19qa"))
# 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](https://github.com/SEACrowd/seacrowd-datahub?tab=readme-ov-file#how-to-use).

Dataset Homepage

https://github.com/triet2397/UIT-ViCoV19QA

Dataset Version

Source: 1.0.0. SEACrowd: 2024.06.20.

Dataset License

Unknown (unknown)

Citation

If you are using the Uit Vicov19Qa dataloader in your work, please cite the following:

@inproceedings{thai-etal-2022-uit,
title = "{UIT}-{V}i{C}o{V}19{QA}: A Dataset for {COVID}-19 Community-based Question Answering on {V}ietnamese Language",
author = "Thai, Triet and Thao-Ha, Ngan Chu and Vo, Anh  and Luu, Son",
editor = "Dita, Shirley and Trillanes, Arlene and Lucas, Rochelle Irene",
booktitle = "Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation",
month = oct,
year = "2022",
address = "Manila, Philippines",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.paclic-1.88",
pages = "801--810",
}


@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}
}