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license: mit
language:
- si
size_categories:
- 1K<n<10K
---
# Sinhala-Text-Simplification-Dataset-and-Evaluation
This repository contains the data for the paper "SiTSE: Sinhala Text Simplification Dataset and Evaluation." It presents a human-curated, sentence-level text simplification dataset for the Sinhala language. The dataset contains 1,000 complex sentences and 3,000 corresponding simplified sentences, produced by three different human annotators.
The sme dataset is in Github as well: https://github.com/brainsharks-fyp17/Sinhala-Text-Simplification-Dataset-and-Evaluation
## Citation
If you use this dataset in your research, please cite the paper:
Ranathunga, S., Madhusanka, R., Rathnayake, H., de Silva, L., Aluthwala, T., Peramuna, S., & Shekhar, R. (2025). SiTSE: Sinhala Text Simplification Dataset and Evaluation. ACM Trans. Asian Low-Resour. Lang. Inf. Process. [doi:10.1145/3723160](https://dl.acm.org/doi/10.1145/3723160)
**BibTeX:**
```bibtex
@article{10.1145/3723160,
author = {Ranathunga, Surangika and Madhusanka, Rumesh and Rathnayake, Himashi and de Silva, Lahiru and Aluthwala, Thamindu and Peramuna, Saman and Shekhar, Ravi},
title = {SiTSE: Sinhala Text Simplification Dataset and Evaluation},
year = {2025},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
issn = {2375-4699},
url = {https://doi.org/10.1145/3723160},
doi = {10.1145/3723160},
journal = {ACM Trans. Asian Low-Resour. Lang. Inf. Process.},
month = {mar}
}
``` |