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README.md
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---
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license: apache-2.0
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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dataset_info:
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features:
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- name: label
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dtype: int64
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- name: title
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dtype: string
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- name: description
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dtype: string
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- name: text
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dtype: string
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- name: text_vi
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dtype: string
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splits:
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- name: train
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num_bytes: 94742232
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num_examples: 120000
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download_size: 55392570
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dataset_size: 94742232
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---
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license: apache-2.0
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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dataset_info:
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features:
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- name: label
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dtype: int64
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- name: title
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dtype: string
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- name: description
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dtype: string
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- name: text
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dtype: string
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- name: text_vi
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dtype: string
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splits:
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- name: train
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num_bytes: 94742232
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num_examples: 120000
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download_size: 55392570
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dataset_size: 94742232
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task_categories:
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- text-classification
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- token-classification
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language:
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- vi
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- en
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pretty_name: Vietnamese AG News
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size_categories:
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- 100K<n<1M
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---
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# Vietnamese AG News (Machine Translated)
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## Overview
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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.
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## Translation Method
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The translation was performed using the **`facebook/nllb-200-distilled-1.3B`** model.
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* **Source**: AG News dataset (English)
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* **Target**: Vietnamese
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## Dataset Structure
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The dataset contains the following columns:
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- `label`: The category ID (0: World, 1: Sports, 2: Business, 3: Sci/Tech).
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- `title`: The original English title.
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- `description`: The original English description.
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- `text`: A combination of `title` and `description` in English.
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- `text_vi`: The machine-translated version of the `text` column in Vietnamese.
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## Purpose
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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.
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