Update README.md

README.md

@@ -13,13 +13,48 @@ dataset_info:
     dtype: float32
   splits:
   - name: train
-    num_bytes: 321503360.0
+    num_bytes: 321503360
     num_examples: 845
   download_size: 319637678
-  dataset_size: 321503360.0
+  dataset_size: 321503360
 configs:
 - config_name: default
   data_files:
   - split: train
     path: data/train-*
+task_categories:
+- automatic-speech-recognition
+language:
+- ar
+pretty_name: Simple ESCWA
 ---
+
+# 🗣️ Simple-ESCWA: A simpler version of ESCWA-CS Corpus
+
+The **ESCWA-CS Corpus** was collected over two days of meetings of the **United Nations Economic and Social Commission for Western Asia (ESCWA)** held in 2019.  
+It contains **intra-sentential code-switching** between Arabic and English, with some speakers—particularly from **Algeria, Tunisia, and Morocco**—alternating between **Arabic and French**.
+
+The dataset spans **approximately 2.8 hours of speech**, featuring **dialectal Arabic** and a **Code Mixing Index (CMI)** of around **28%**.  
+It serves as a valuable resource for studying **bilingual and multilingual speech**, **dialectal variation**, and **code-mixing phenomena** in spontaneous meeting conversations.
+
+## 📄 Citation
+
+If you use this dataset in your research, please cite the following paper:
+
+```bibtex
+@inproceedings{chowdhury2018towards,
+	title={Towards Bangla Named Entity Recognition},
+	author={Chowdhury, Shammur Absar and Alam, Firoj and Khan, Naira},
+	booktitle={Proc. of ICCIT},
+	
+	year={2018},
+	organization={IEEE}
+}
+
+@inproceedings{ali_arabic_2021,
+	title = {Arabic {Code}-{Switching} {Speech} {Recognition} using {Monolingual} {Data}},
+	booktitle = {{{{Proc. of INTERSPEECH}}}},
+	author = {Ali, Ahmed and Chowdhury, Shammur and Hussein, Amir and Yasser, Hifny},
+	year = {2021},
+}
+```