update readme contents.

README.md

@@ -1,19 +1,43 @@
-annotations_creators: []
-language_creators: []
-languages:
-- si
-- en
-- ta
-
-licenses: [afl-3.0]
-multilinguality:
-- multilingual
-pretty_name: ''
-size_categories: []
-source_datasets: []
-
-The following is the tag scheme.
-* Sentiment -  Positive, Negative, Neutral,  Conflict
-* Language ID - Sinhala, English, Sin-Eng, Eng-Sin, Mixed, Named-Entity, Symbol
-
----
+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/
+Hiru -http://www.hirunews.lk.
+ITN - https://www.newsfirst.lk/
+Newsfirst -https://www.itnnews.lk.
+
+The aligned documents have been manually annotated.
+
+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
+        
+ 
+
+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
+
+@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},
+  journal={Knowledge and Information Systems},
+  pages={1--42},
+  year={2022},
+  publisher={Springer}
+}
+
+
+