README.md

---
task_categories:
- sentence-similarity
language:
- si
- ta
- en
---

### **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.

| News Source   | url                         | 
| ------------- |-----------------------------| 
| 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.

```python
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,<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/>
}