SEACrowd/vitext2sql

This is the first public large-scale Text-to-SQL semantic parsing dataset for Vietnamese. The dataset is created by manually translating the Spider dataset into Vietnamese.

Languages

vie

Supported Tasks

Machine Translation

Dataset Usage

Using datasets library

from datasets import load_dataset
dset = datasets.load_dataset("SEACrowd/vitext2sql", trust_remote_code=True)

Using seacrowd library

# Load the dataset using the default config
dset = sc.load_dataset("vitext2sql", schema="seacrowd")
# Check all available subsets (config names) of the dataset
print(sc.available_config_names("vitext2sql"))
# 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/VinAIResearch/ViText2SQL

Dataset Version

Source: 1.0.0. SEACrowd: 2024.06.20.

Dataset License

Other License (others) | By downloading the ViText2SQL dataset, USER agrees:

1. to use ViText2SQL for research or educational purposes only.
2. to not distribute ViText2SQL or part of ViText2SQL in any original or modified form.
3. and to cite our EMNLP-2020 Findings paper above whenever ViText2SQL is employed to help produce published results. Copyright (c) 2020 VinAI Research THE DATA IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE DATA OR THE USE OR OTHER DEALINGS IN THE DATA.

Citation

If you are using the Vitext2Sql dataloader in your work, please cite the following:

@inproceedings{nguyen2020vitext2sql,
    title      = {{A Pilot Study of Text-to-SQL Semantic Parsing for Vietnamese}},
    author     = {Anh Tuan Nguyen and Mai Hoang Dao and Dat Quoc Nguyen},
    booktitle  = {Findings of the Association for Computational Linguistics: EMNLP 2020},
    year       = {2020},
    pages      = {4079--4085}
}


@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}
}