---
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}
  }
```