metadata

license: apache-2.0
dataset_info:
  features:
    - name: id
      dtype: int64
    - name: label
      dtype: string
    - name: title
      dtype: string
    - name: sapo
      dtype: string
    - name: content
      dtype: string
  splits:
    - name: train
      num_bytes: 1937198082
      num_examples: 596524
  download_size: 1044037830
  dataset_size: 1937198082
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

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}
  }