ViLQA Dataset - Legal Question Answering in Vietnam
This dataset contains questions and answers related to legal documents and regulations in Vietnam as of August 2024, designed for research and development of Legal Question Answering (LQA) systems. It is particularly valuable for evaluating language models in the legal domain.
Dataset Description
Structure
The dataset is stored in CSV format with the following columns:
Question: The legal question in Vietnamese.Answer: The detailed answer to the legal question, extracted and summarized from legal documents.idx: Unique identifier for each sample..
Sample
| ID | ID1 | Question | Answer | idx |
|---|---|---|---|---|
| 29 | 2 | Thực hiện cắt giảm hồ sơ thay đổi mức vốn điều lệ của ngân hàng hợp tác xã trong quý 2 năm 2024? | Căn cứ Mục 3 Phần 3 Phương án cắt giảm... | 0 |
Usage
Citing the Dataset
If you use this dataset in your research, please cite the following paper:
@article{doi:10.1142/S2717554524500103,
author = {Pham, Huy Quang and Van Nguyen, Quan and Tran, Dan Quang and Nguyen, Thang Kien-Bao and Van Nguyen, Kiet},
title = {Top 2 at ALQAC 2024: Large Language Models (LLMs) for Legal Question Answering},
journal = {International Journal of Asian Language Processing},
volume = {0},
number = {ja},
pages = {null},
year = {0},
doi = {10.1142/S2717554524500103},
URL = {
https://doi.org/10.1142/S2717554524500103
},
eprint = {
https://doi.org/10.1142/S2717554524500103
}
}
How to Load the Dataset
Using Python
Install the required libraries:
pip install datasets
Load the dataset:
from datasets import load_dataset
dataset = load_dataset("huyhuy123/ViLQA")
print(dataset)
License
This dataset is provided for research purposes only. For any commercial use, please contact the authors of the paper cited above.
Acknowledgements
We thank the authors of the following paper for providing the data and insights:
Contact
For any questions or issues related to this dataset, please contact:
- Email: 21522163@gm.uit.edu.vn.com