Overview
The dataset is collected from the Vnexpress news website and is extracted for clustering tasks. (596524 samples)
Data Format
The data consists of 5 fields:
id: The index of the article. title: The title of the article. sapo: The summary of the article. content: The main content of the article. label: The topic of the article. Article Topics The articles are categorized into 21 topics, including:
- 'Ngôi Sao' (Celebrities)
- 'Thế giới' (World)
- 'Giải trí giới trẻ' (Youth Entertainment)
- 'Thể thao' (Sports)
- 'Kinh doanh' (Business)
- 'Sức khỏe' (Health)
- 'Thời sự' (Current Affairs)
- 'Giải trí' (Entertainment)
- 'Tâm sự' (Confession)
- 'Pháp luật' (Legal)
- 'Khoa học' (Science)
- 'Số hóa' (Digital)
- 'Giáo dục' (Education)
- 'Du lịch' (Travel)
- 'Xe' (Cars)
- 'Đời sống' (Life)
- 'Thư giãn' (Relaxation)
- 'Bất động sản' (Real Estate)
- 'Ý kiến' (Opinion)
- 'Podcasts'
- 'Góc nhìn' (Perspective)
Note: 'Ngôi sao' articles are written in a separate section, while 'Giải trí giới trẻ' articles are rewritten from 'iOne' section.
Data Collection Steps
HTML data collection through the crawling process. Data collection for the fields: title, sapo, content, label. Selection of fields with too few articles and filtering out unnecessary data (videos and English).
Please cite our manuscript if this dataset is used for your work
@article{duc2024towards,
title={Towards Comprehensive Vietnamese Retrieval-Augmented Generation and Large Language Models},
author={Nguyen Quang Duc, Le Hai Son, Nguyen Duc Nhan, Nguyen Dich Nhat Minh, Le Thanh Huong, Dinh Viet Sang},
journal={arXiv preprint arXiv:2403.01616},
year={2024}
}
- Downloads last month
- 239