---
language:
- en
- ar
- fr
- hi
- ur
- pt
- fa
- ps
- es
- ko
- ta
- tr
- et
- ru
- ro
- zh
- sv
- la
- id
- nl
- ja
- th
---

> [!NOTE]
> Dataset origin: https://www.kaggle.com/datasets/zarajamshaid/language-identification-datasst

## Context
WiLI-2018, the Wikipedia language identification benchmark dataset, contains 235000 paragraphs of 235 languages.
Each language in this dataset contains 1000 rows/paragraphs.

After data selection and preprocessing I used the 22 selective languages from the original dataset