Update README.md

README.md

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----
-license: cc-by-nc-2.0
----
+---
+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.
+
+## 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}
+}