---
annotations_creators:
- no-annotation
language_creators:
- found
languages:
- ar
licenses:
- unknown
multilinguality:
- monolingual
size_categories:
- n>1M
source_datasets:
- original
task_categories:
- sequence-modeling
task_ids:
- language-modeling
- other-diacritics-prediction
---

# Dataset Card for Tashkeela

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-instances)
  - [Data Splits](#data-instances)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Discussion of Social Impact and Biases](#discussion-of-social-impact-and-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** [Tashkeela](https://sourceforge.net/projects/tashkeela/)
- **Repository:** [Tashkeela](https://sourceforge.net/projects/tashkeela/)
- **Paper:** [Tashkeela: Novel corpus of Arabic vocalized texts, data for auto-diacritization systems](https://www.sciencedirect.com/science/article/pii/S2352340917300112)
- **Point of Contact:** [Taha Zerrouki](mailto:t_zerrouki@esi.dz)

### Dataset Summary

It contains 75 million of fully vocalized words mainly
97 books from classical and modern Arabic language.

### Supported Tasks and Leaderboards

The dataset was published on this [paper](https://www.sciencedirect.com/science/article/pii/S2352340917300112#!).

### Languages

The dataset is based on Arabic.

## Dataset Structure

### Data Instances

The dataset contains 97 books and 75 million of fully vocalized words.

### Data Fields

[More Information Needed]

### Data Splits

The dataset is not split. 

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

[More Information Needed]

#### Initial Data Collection and Normalization

The Modern Standard Arabic texts crawled from the Internet.

#### Who are the source language producers?

Websites.

### Annotations

The dataset does not contain any additional annotations.

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Discussion of Social Impact and Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

```
@article{zerrouki2017tashkeela,
  title={Tashkeela: Novel corpus of Arabic vocalized texts, data for auto-diacritization systems},
  author={Zerrouki, Taha and Balla, Amar},
  journal={Data in brief},
  volume={11},
  pages={147},
  year={2017},
  publisher={Elsevier}
}
```

### Contributions

Thanks to [@zaidalyafeai](https://github.com/zaidalyafeai) for adding this dataset.