readme content updated

README.md

@@ -1,3 +1,46 @@
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-license: afl-3.0
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+### **Dataset summary**
+This is a gold-standard benchmark dataset for sentence alignment, between Sinhala-English-Tamil languages. Data had been crawled from the following news websites. The aligned documents annotated in the dataset NLPC-UOM/document_alignment_dataset-Sinhala-Tamil-English had been considered to annotate the aligned sentences.
+
+Army - https://www.army.lk/<br/>
+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**
+The folder structure for each news source is as follows.
+
+si-en<br/>
+  |--army<br/>
+      |--Sinhala<br/>
+      |--English<br/>
+      |--army.si-en<br/>
+  |--hiru<br/>
+      |--Sinhala<br/>
+      |--English<br/>
+      |--hiru.si-en<br/>
+  |--itn<br/>
+      |--Sinhala<br/>
+      |--English<br/>
+      |--itn.si-en<br/>
+  |--newsfirst<br/>
+      |--Sinhala<br/>
+      |--English<br/>
+      |--newsfirst.si-en<br/>
+ta-en<br/>
+si-ta<br/>
+
+Sinhala/English/Tamil - contain the aligned documents in the two languages with respective to the news source (army/hiru/itn/newsfirst)
+army.si-en - golden aligned sentence alignment. Each sentence is referenced according to the languageprefix_fileid_sentenceId. 
+
+
+Citation Information
+@article{fernando2022exploiting,<br/>
+title={Exploiting bilingual lexicons to improve multilingual embedding-based document and sentence alignment for low-resource languages},<br/>
+author={Fernando, Aloka and Ranathunga, Surangika and Sachintha, Dilan and Piyarathna, Lakmali and Rajitha, Charith},<br/>
+journal={Knowledge and Information Systems},<br/>
+pages={1--42},<br/>
+year={2022},<br/>
+publisher={Springer}<br/>
+}