Datasets:

Languages:
Vietnamese
ArXiv:
License:
vihealthqa / README.md
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metadata
license: unknown
language:
  - vie
pretty_name: Vihealthqa
task_categories:
  - question-answering
tags:
  - question-answering

Vietnamese Visual Question Answering (ViVQA) consist of 10328 images and 15000 question-answer pairs in Vietnamese for evaluating Vietnamese VQA models. This dataset is built based on 10328 randomly selected images from MS COCO dataset. The question-answer pairs were based on the COCO-QA dataset that was automatically translated from English to Vietnamese.

Languages

vie

Supported Tasks

Question Answering

Dataset Usage

Using datasets library

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

Using seacrowd library

# Load the dataset using the default config
dset = sc.load_dataset("vihealthqa", schema="seacrowd")
# Check all available subsets (config names) of the dataset
print(sc.available_config_names("vihealthqa"))
# 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://huggingface.co/datasets/tarudesu/ViHealthQA

Dataset Version

Source: 1.0.0. SEACrowd: 2024.06.20.

Dataset License

Unknown (unknown)

Citation

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

@InProceedings{nguyen2022viheathqa,
  author="Nguyen, Nhung Thi-Hong
  and Ha, Phuong Phan-Dieu
  and Nguyen, Luan Thanh
  and Van Nguyen, Kiet
  and Nguyen, Ngan Luu-Thuy",
  title="SPBERTQA: A Two-Stage Question Answering System Based on Sentence Transformers for Medical Texts",
  booktitle="Knowledge Science, Engineering and Management",
  year="2022",
  publisher="Springer International Publishing",
  address="Cham",
  pages="371--382",
  isbn="978-3-031-10986-7"
}


@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}
}