README.md

---
license: cc-by-nc-4.0
task_categories:
- automatic-speech-recognition
language:
- ar
tags:
- Egyptian
- Dialectal
pretty_name: 'DACS: Dialectal Arabic Code-Switching Dataset'
---
# DACS: Dialectal Arabic Code-Switching Dataset

This release includes **2 hours of annotated Egyptian Arabic speech** from the **ADI-5 development split** in the **MGB-3 Challenge**.

## Overview

Unlike the original **MGB-3:EGY** data, this corpus has been **manually segmented** into smaller utterances based on pauses of **≥500 ms of silence**.  
Each utterance has been **verbatim transcribed** by a lay **native Egyptian speaker**.

The released MGB-3 data includes both **speech features** and **textual features** extracted from ASR transcriptions.


## Download

📦 **Dataset Access**  
You can download the dataset from the following link:  
👉 [Download DACS Dataset](https://github.com/qcri/Arabic_speech_code_switching)  

> By downloading, you agree to use the data for **non-commercial research purposes** only.


## Annotation Details

The transcribed data was further **annotated for word-level Code-Switching (CS)** by **three independent annotators**.  
Following the guidelines described in the associated paper, each word was classified into one of the following four categories:

- **MSA** — Modern Standard Arabic word with MSA pronunciation  
- **EGY** — Egyptian dialect word  
- **MIX** — MSA word with dialectal pronunciation  
- **FRN** — Foreign word (i.e., non-Arabic)

An additional tag **NULL** was used for unintelligible words or those that could not be categorized into any of the four labels.

## Citation

If you use this dataset, please cite the following paper:

```bibtex
@inproceedings{chowdhury2020effects,
  title={Effects of Dialectal Code-Switching on Speech Modules: A Study using Egyptian Arabic Broadcast Speech},
  author={Chowdhury, Shammur Absar and Samih, Younes and Eldesouki, Mohamed and Ali, Ahmed},
  booktitle={{{Proc. of INTERSPEECH}}},
  year={2020}
}