README.md

metadata

license: apache-2.0
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: label
      dtype: int64
    - name: title
      dtype: string
    - name: description
      dtype: string
    - name: text
      dtype: string
    - name: text_vi
      dtype: string
  splits:
    - name: train
      num_bytes: 94742232
      num_examples: 120000
  download_size: 55392570
  dataset_size: 94742232
task_categories:
  - text-classification
  - token-classification
language:
  - vi
  - en
pretty_name: Vietnamese AG News
size_categories:
  - 100K<n<1M

Vietnamese AG News (Machine Translated)

Overview

This is a Vietnamese version of the AG News dataset, created for experimental purposes and personal learning. I used a machine translation model to convert the original English content into Vietnamese to explore how translation affects text classification tasks.

Translation Method

The translation was performed using the facebook/nllb-200-distilled-1.3B model.

• Source: AG News dataset (English)
• Target: Vietnamese

Dataset Structure

The dataset contains the following columns:

• label: The category ID (0: World, 1: Sports, 2: Business, 3: Sci/Tech).
• title: The original English title.
• description: The original English description.
• text: A combination of title and description in English.
• text_vi: The machine-translated version of the text column in Vietnamese.

Purpose

This project is strictly for fun and educational exploration. Please note that since the translation is automated, some nuances or technical terms may not be perfectly accurate.