Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
csv
Sub-tasks:
multiple-choice-qa
Languages:
Vietnamese
Size:
1K - 10K
License:
license: apache-2.0 | |
language: | |
- vi | |
task_categories: | |
- question-answering | |
task_ids: | |
- multiple-choice-qa | |
pretty_name: Vietnamese Law and Ethics Multiple-Choice Questions | |
tags: | |
- vietnamese | |
- law | |
- ethics | |
- multiple-choice | |
- education | |
- social-responsibility | |
size_categories: | |
- 1K<n<10K | |
### **Dataset Description** | |
**Dataset Name**: Vietnamese Law and Ethics Multiple-Choice Questions (VLEMCQ) | |
**Author**: Dung Nguyen Quang | |
**License**: Apache license 2.0 | |
**Language**: Vietnamese | |
**Task**: Multiple-Choice Question Answering (MCQA) | |
**Domain**: Law, Ethics, and Social Responsibility | |
--- | |
### **Overview** | |
The **Vietnamese Law and Ethics Multiple-Choice Questions (VLEMCQ)** dataset is a collection of multiple-choice questions designed to test knowledge and understanding of Vietnamese law, ethics, and social responsibility. The dataset is suitable for training and evaluating models in the task of multiple-choice question answering (MCQA). | |
Each question in the dataset is structured with: | |
- **Question**: A question related to Vietnamese law, ethics, or social responsibility. | |
- **Options**: Four possible answers (A, B, C, D), where only one is correct. | |
- **Answer**: The correct answer (A, B, C, or D). | |
--- | |
### **Dataset Structure** | |
The dataset is provided in a **CSV** file with the following columns: | |
1. **id**: A unique identifier for each question. | |
2. **question**: The text of the question. | |
3. **options**: A list of options, separated by newlines. | |
4. **answer**: The correct option (A, B, C, or D). | |
Example: | |
```csv | |
id,question,options,answer | |
1,"Theo quy định của pháp luật, các học sinh hưởng quyền được phát triển khi được","A. tham gia phòng, chống bạo lực học đường.\nB. tổ chức đua xe trái phép.\nC. tham gia đầu cơ, thao túng thị trường hàng hóa.\nD. sản xuất hàng kém chất lượng.",A | |
``` | |
--- | |
### **Use Cases** | |
- **Education**: Train models to assist students in learning about Vietnamese law and ethics. | |
- **Evaluation**: Benchmark the performance of MCQA models on Vietnamese language tasks. | |
- **Research**: Study the effectiveness of models in understanding and reasoning about legal and ethical concepts. | |
--- | |
### **Dataset Statistics** | |
- **Total Questions**: 6137 | |
--- | |
### **Examples** | |
Here are some examples from the dataset: | |
1. **Question**: Theo quy định của pháp luật, các học sinh hưởng quyền được phát triển khi được | |
**Options**: | |
A. tham gia phòng, chống bạo lực học đường. | |
B. tổ chức đua xe trái phép. | |
C. tham gia đầu cơ, thao túng thị trường hàng hóa. | |
D. sản xuất hàng kém chất lượng. | |
**Answer**: A | |
--- | |
### **Limitations** | |
- The dataset focuses primarily on Vietnamese law and ethics, which may limit its applicability to other domains or languages. | |
- The questions and answers are based on specific legal and ethical contexts, which may require domain-specific knowledge to interpret correctly. | |
--- | |
### **How to Use** | |
To load the dataset using the Hugging Face `datasets` library: | |
```python | |
from datasets import load_dataset | |
dataset = load_dataset("nqdhocai/vietnamese-legal-qa") | |
``` | |
--- | |
### **Citation** | |
If you use this dataset in your research, please cite it as follows: | |
```bibtex | |
@misc{vlemcq2024, | |
author = {Dung Nguyen Quang}, | |
title = {Vietnamese Law and Ethics Multiple-Choice Questions (VLEMCQ) Dataset}, | |
year = {2024}, | |
publisher = {Hugging Face}, | |
howpublished = {\url{https://huggingface.co/datasets/nqdhocai/vietnamese-legal-qa}} | |
} | |
``` | |
--- | |
### **Contact** | |
For questions or feedback, please contact [email protected]. | |
--- | |
### **License** | |
This dataset is released under the Apache license 2.0. | |
--- | |
### **Changelog** | |
- **v1.0.0 (2024-12-30)**: Initial release of the dataset. | |
--- | |
### **Tags** | |
`vietnamese`, `law`, `ethics`, `multiple-choice`, `question-answering`, `education`, `social-responsibility` |