---
dataset_info:
  features:
  - name: arabic
    dtype: string
  - name: arabizi
    dtype: string
  splits:
  - name: train
    num_bytes: 23030.057736720555
    num_examples: 389
  - name: test
    num_bytes: 2604.942263279446
    num_examples: 44
  download_size: 16955
  dataset_size: 25635
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
license: cc-by-4.0
language:
- ar
task_categories:
- translation
tags:
- arabizi
- transliteration
- levantine
- lebanese
- dialectal-arabic
pretty_name: Arabic to Arabizi (Levantine)
size_categories:
- n<1K
---

# Arabic to Arabizi (Levantine)

A small parallel dataset of short, everyday Levantine (Lebanese) Arabic sentences written in Arabic script, each paired with an Arabizi (Latin-script) transliteration.

## Dataset structure

| Split | Rows |
|-------|------|
| train | 389  |
| test  | 44   |
| **Total** | **433** |

Each row has two fields:

- `arabic`: the sentence in Arabic script
- `arabizi`: the same sentence in Arabizi

Example:

| arabic | arabizi |
|--------|---------|
| شو عم تعمل؟ | sho 3m t3ml? |
| رحت عالبحر مع العيلة. | rht 3albhr m3 al3yla. |

## Transliteration conventions

- `3` = ع
- `2` = ء / أ (hamza)
- `sh` = ش, `kh` = خ, `gh` = غ
- `h` is used for both ح and ه (`7` is not used)
- `q` = ق
- Short vowels are mostly omitted; long vowels are written (`a`, `y`/`i`, `ou`/`o`)

## How the data was created

The Arabic sentences and their Arabizi transliterations were generated with OpenAI's GPT-4, then reviewed by the author.

## Intended uses

Training or evaluating Arabic ↔ Arabizi transliteration, input methods and keyboards, and dialect-aware NLP.

## Limitations

- Small size (433 pairs); short, conversational sentences only.
- Lebanese/Levantine dialect only; not representative of other dialects or Modern Standard Arabic.
- Reflects one Arabizi spelling style. Real-world Arabizi varies a lot between writers (e.g. `7` for ح, `5` for خ, more written vowels).

## License

This dataset is released under the [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/) license. You may use, share and adapt it, including commercially, as long as you give appropriate credit.

## Citation

If you use this dataset, please credit:

```
akhanafer, "Arabic to Arabizi (Levantine)", Hugging Face, 2026.
https://huggingface.co/datasets/akhanafer/arabic-to-arabizi
```