| | --- |
| | 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. |
| |
|
