---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: darija_arabizi
    dtype: string
  - name: darija_arabic
    dtype: string
  splits:
  - name: train
    num_bytes: 1745286
    num_examples: 67186
  download_size: 1173353
  dataset_size: 1745286
---
# Overview

This dataset is a modified version of the Darija Open Dataset (DODa), tailored specifically for the purpose of learning a transliteration mapping from Arabizi Darija text to Arabic letters Darija.

The **Arabizi-To-Arabic-Mapping** (ATAM) Transliteration Dataset serves as a valuable resource for training models to accurately transliterate Arabizi Darija text into Arabic letters Darija, facilitating natural language processing tasks in the Moroccan dialect.

# Key Features:

* Adapted Structure: The dataset has been meticulously adapted from the original DODa format to focus on the transliteration task, ensuring relevance and effectiveness in training transliteration models.

* Diverse Text Samples: It encompasses a diverse range of Arabizi Darija text samples, covering various linguistic nuances and expressions commonly found in informal communications.

* Annotated Transliterations: Each Arabizi Darija text entry is accompanied by its corresponding transliteration into Arabic letters Darija, enabling supervised learning for transliteration mapping.

**N.B**: We have a **One-To-Many** relationship as each word in the Arabic letter format can be associated (written) to many others in the Arabizi format.

# Usage:

Researchers and developers can leverage this dataset to train and evaluate machine learning models aimed at automating the transliteration process from Arabizi Darija to Arabic letters Darija.

# Acknowledgments:

We extend our gratitude to the creators and contributors of the Darija Open Dataset (DODa) for their pioneering work, which serves as the foundation for this transliteration dataset adaptation.

# Contact:

For inquiries or contributions related to the **ATAM** Transliteration Dataset, feel free to reach out.

---
dataset_info:
  features:
  - name: darija
    dtype: string
  - name: darija_ar
    dtype: string
  - name: english
    dtype: string
  splits:
  - name: train
    num_bytes: 2705541
    num_examples: 67186
  download_size: 1793167
  dataset_size: 2705541
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
language:
- ar
size_categories:
- 10K<n<100K
---