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metadata 
dataset_info:
  features:
    - name: ID
      dtype: int64
    - name: ID1
      dtype: int64
    - name: Question
      dtype: string
    - name: Answer
      dtype: string
    - name: idx
      dtype: int64
  splits:
    - name: train
      num_bytes: 57344195
      num_examples: 43588
  download_size: 19993070
  dataset_size: 57344195
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

ViLQA Dataset - Vietnamese Legal Question Answering Dataset

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

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 = {2024},
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.

Contact

For any questions or issues related to this dataset, please contact: