Update README.md

README.md

@@ -1,37 +1,36 @@
-### Dataset summary
+### **Dataset summary**
 
 This is a gold-standard benchmark dataset for document alignment, between Sinhala-English-Tamil languages.
 Data had been crawled from the following news websites.
 
 Army - https://www.army.lk/<br/>
-Hiru -http://www.hirunews.lk.
-ITN - https://www.newsfirst.lk/
-Newsfirst -https://www.itnnews.lk.
+Hiru -http://www.hirunews.lk.<br/>
+ITN - https://www.newsfirst.lk/<br/>
+Newsfirst -https://www.itnnews.lk<br/>
 
 The aligned documents have been manually annotated.
 
-Dataset
+### **Dataset**
 
 The folder structure for each news source is as follows.
 
-'''
-army----|--Sinhala
-        |--English
-        |--Tamil
-        |--armynews_english_sinhala.txt
-        |--armynews_english_tamil.txt
-        |--armynews_sinhala_tamil.txt
-        
-'''
 
+army
+ |--Sinhala
+ |--English
+ |--Tamil
+ |--armynews_english_sinhala.txt
+ |--armynews_english_tamil.txt
+ |--armynews_sinhala_tamil.txt
+        
 Sinhala/English/Tamil - contain the crawled data for the respective news source
 army_news_english_sinhala.txt - contains the annotated aligned documents between English and Sinhala languages.
 armynews_english_tamil.txt - contains the annotated aligned documents between English and Tamil languages.
 armynews_sinhala_tamil.txt - contains the annotated aligned documents between Sinhala and Tamil languages.
 
-Citation Information
+## **Citation Information**
+
 
-'''bibtext
 @article{fernando2022exploiting,
   title={Exploiting bilingual lexicons to improve multilingual embedding-based document and sentence alignment for low-resource languages},
   author={Fernando, Aloka and Ranathunga, Surangika and Sachintha, Dilan and Piyarathna, Lakmali and Rajitha, Charith},
@@ -40,6 +39,5 @@ Citation Information
   year={2022},
   publisher={Springer}
 }
-'''