lm-spell/different-domain-ssc-dataset

Sinhala Spell Correction Dataset

This dataset was created by Sudesh et al. (2022) for evaluating Sinhala spelling-error detection and correction across multiple domains.

Full credit for the creation and collection of this dataset should go to the original authors. If you use this dataset in your research or applications, please cite their work.

Sudesh, P., Dashintha, D., Lakshan, R., & Dias, G. (2022, July). Erroff: A tool to identify and correct real-word errors in Sinhala documents. In 2022 Moratuwa Engineering Research Conference (MERCon) (pp. 1–6). IEEE.

Dataset Description

The dataset contains Sinhala text collected from multiple domains and annotated for spelling errors.

For each domain, the dataset contains two files, which were independently annotated by two Sinhala language and spelling specialists. The domain-based structure makes the dataset suitable for evaluating Sinhala spell correction systems across different types of text rather than relying on a single-domain test set.

Attribution

This dataset originates from the work of Sudesh et al. (2022). The dataset should be appropriately attributed to the original authors when reused.

This repository does not claim ownership of the original dataset or its annotations.

Citation

If you use this dataset, please cite the original work:

@inproceedings{sudesh2022erroff,
  title={Erroff: a tool to identify and correct real-word errors in Sinhala documents},
  author={Sudesh, Pasindu and Dashintha, Dilan and Lakshan, Rashmika and Dias, Gihan},
  booktitle={2022 Moratuwa Engineering Research Conference (MERCon)},
  pages={1--6},
  year={2022},
  organization={IEEE}
}