---
license: other
language: 
- vie
pretty_name: Uit Viwikiqa
task_categories: 
- question-answering
tags: 
- question-answering
---


UIT-ViWikiQA is a Vietnamese sentence extraction-based machine reading comprehension
dataset. It is created from the UIT-ViQuAD dataset. It comprises of 23,074
question-answers based on 5,109 passages of 174 Wikipedia Vietnamese articles.


This is a local dataset. You have to obtain this dataset separately from [{homepage}]({homepage}) to use this dataloader.

## Languages

vie

## Supported Tasks

Question Answering

## Dataset Usage
### Using `datasets` library
```
from datasets import load_dataset
dset = datasets.load_dataset("SEACrowd/uit_viwikiqa", trust_remote_code=True)
```
### Using `seacrowd` library
```import seacrowd as sc
# Load the dataset using the default config
dset = sc.load_dataset("uit_viwikiqa", schema="seacrowd")
# Check all available subsets (config names) of the dataset
print(sc.available_config_names("uit_viwikiqa"))
# 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://sites.google.com/uit.edu.vn/kietnv/datasets#h.bp2c6hj2hb5q](https://sites.google.com/uit.edu.vn/kietnv/datasets#h.bp2c6hj2hb5q)

## Dataset Version

Source: 1.0.0. SEACrowd: 2024.06.20.

## Dataset License

Other License (others) |
The user of UIT-ViWikiQA developed by the NLP@UIT research group must respect the
following terms and conditions:
1. The dataset is only used for non-profit research for image captioning.
2. The dataset is not allowed to be used in commercial systems.
3. Do not redistribute the dataset. This dataset may be modified or improved to serve a
research purpose better, but the edited dataset may not be distributed.
4. Summaries, analyses, and interpretations of the properties of the dataset may be
derived and published, provided it is not possible to reconstruct the information from
these summaries.
5. Published research works that use the dataset must cite the following paper: Do,
P.N.T., Nguyen, N.D., Van Huynh, T., Van Nguyen, K., Nguyen, A.G.T. and Nguyen, N.L.T.,
2021. Sentence Extraction-Based Machine Reading Comprehension for Vietnamese. arXiv
preprint arXiv:2105.09043.


## Citation

If you are using the **Uit Viwikiqa** dataloader in your work, please cite the following:
```
@misc{do2021sentence,
    title={Sentence Extraction-Based Machine Reading Comprehension for Vietnamese},
    author={Phong Nguyen-Thuan Do and Nhat Duy Nguyen and Tin Van Huynh and Kiet Van Nguyen and Anh Gia-Tuan Nguyen and Ngan Luu-Thuy Nguyen},
    year={2021},
    eprint={2105.09043},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}


@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}
}

```