SEACrowd/vigetext

The high-quality dataset with structured guidelines for typing LaTeX formulas in Mathematics, Physics, Chemistry, and Biology. Objective was to cover the entire scope of the Vietnamese General Education Examination spanning from 2017 to 2023. This comprehensive approach included the challenging examinations of the years 2017 and 2018, which have been significant for nearly all Vietnamese students in recent years. It is important to highlight that the exact and unquestionably correct answers have been exclusively obtained from the Vietnamese Ministry of Education.

Languages

vie

Supported Tasks

Question Answering

Dataset Usage

Using datasets library

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

Using seacrowd library

# Load the dataset using the default config
dset = sc.load_dataset("vigetext", schema="seacrowd")
# Check all available subsets (config names) of the dataset
print(sc.available_config_names("vigetext"))
# 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/uitnlp/ViGEText_17to23

Dataset Version

Source: 1.0.0. SEACrowd: 2024.06.20.

Dataset License

Unknown (unknown)

Citation

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

@inproceedings{10.1145/3628797.3628837,
    author = {Nguyen, Duc-Vu and Nguyen, Quoc-Nam},
    title = {Evaluating the Symbol Binding Ability of Large Language Models for Multiple-Choice Questions in Vietnamese General Education},
    year = {2023},
    isbn = {9798400708916},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    url = {https://doi.org/10.1145/3628797.3628837},
    doi = {10.1145/3628797.3628837},
    booktitle = {Proceedings of the 12th International Symposium on Information and Communication Technology},
    pages = {379–386},
    numpages = {8},
    keywords = {Analysis of Language Models, Multiple Choice Symbol Binding, Multiple Choice Question Answering, Language Modeling},
    location = {<conf-loc>, <city>Ho Chi Minh</city>, <country>Vietnam</country>, </conf-loc>},
    series = {SOICT '23}
}


@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}
}