---
dataset_info:
  features:
  - name: audio
    dtype: audio
  - name: text
    dtype: string
  - name: cleaned_text
    dtype: string
  - name: speaker_age
    dtype: string
  - name: speaker_gender
    dtype: string
  - name: speaker_dialect
    dtype: string
  splits:
  - name: train
    num_bytes: 27052965505.604
    num_examples: 241834
  - name: validation
    num_bytes: 1015213004.222
    num_examples: 5139
  - name: test
    num_bytes: 701540013.966
    num_examples: 6193
  download_size: 50401167803
  dataset_size: 28769718523.792
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
task_categories:
- automatic-speech-recognition
- text-to-speech
language:
- ar
pretty_name: SADA 2022
size_categories:
- 100K<n<1M
license: cc-by-nc-sa-4.0
---
<center>
  <img src="/static-proxy?url=https%3A%2F%2Fcdn-uploads.huggingface.co%2Fproduction%2Fuploads%2F6116d0584ef9fdfbf45dc4d9%2F5g0ERAppFLxQhXU2Haj_X.png"/>
</center>

# Dataset Card for SADA (Saudi Audio Dataset for Arabic)

## Dataset Summary

The **SADA** dataset (Saudi Audio Dataset for Arabic) is a large-scale Arabic speech corpus designed to support the development of high-quality artificial intelligence models for Arabic speech processing. It contains over **667 hours** of transcribed Arabic audio recordings, primarily featuring various **Saudi dialects**, and was curated in a collaboration between the **National Center for Artificial Intelligence** at **SDAIA** and the **Saudi Broadcasting Authority**.

The dataset includes diverse spoken content extracted from **more than 57 TV shows**, encompassing a variety of speakers, dialects, and speech contexts. The corpus is accompanied by metadata including **speaker age group**, **gender**, and **dialect**, making it suitable for a wide range of speech and language modeling tasks.

## Supported Tasks and Leaderboards

The dataset is suitable for training and evaluating models in:

* **Automatic Speech Recognition (ASR)**
* **Text-to-Speech (TTS)**
* **Speaker Diarization**
* **Dialect Identification**
* **Gender and Age Classification**

## Languages

* **Arabic (ar)** — various regional dialects of Saudi Arabia (Najdi, Hijazi, Khaliji)

## Dataset Structure

### Data Fields

* `audio`: The raw audio recording in a supported format (e.g., `.wav`)
* `text`: The original transcription of the audio
* `cleaned_text`: A normalized version of the transcription
* `speaker_age`: Age group of the speaker (e.g. `adult`, `elderly`, or `unknown`)
* `speaker_gender`: Gender of the speaker (e.g. `male`, `female`, or `unknown`)
* `speaker_dialect`: Dialect classification (e.g. `najidi`, `hijazi`, `khaliji`, or `unknown`)

### Splits

* **Train**: \~647 hours
* **Test/Dev**: \~20 hours

## Dataset Creation

### Curation

The data was sourced from publicly available TV content provided by the **Saudi Broadcasting Authority (SBA)** and manually transcribed by the **National Center for Artificial Intelligence**. The audio was processed, segmented, and annotated to ensure usability in machine learning applications.

### Motivation

Due to the scarcity of open Arabic speech datasets, especially with dialectal variety, **SADA** aims to empower the research and development of Arabic-centric AI solutions. It enables advancements in speech technologies while promoting the Arabic language, which is spoken by over 400 million people globally and holds deep cultural and religious significance.

## Licensing

This dataset is licensed under the **Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)** license.

More details: [https://creativecommons.org/licenses/by-nc-sa/4.0/](https://creativecommons.org/licenses/by-nc-sa/4.0/)


## Citation

```
@misc{SADA2022,
  title={SADA: Saudi Audio Dataset for Arabic},
  author={SDAIA and Saudi Broadcasting Authority},
  year={2022},
  howpublished={\url{https://www.kaggle.com/datasets/sdaiancai/sada2022}},
  note={CC BY-NC-SA 4.0}
}
```

## Contributions

Dataset curated by **SDAIA** in collaboration with **SBA**. Dataset card written by the community.