bkai-foundation-models/NewsCategory

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}
  }