Text2Text Generation
Transformers
Safetensors
Sinhala
mbart
Inference Endpoints
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---
license: cc-by-sa-4.0
datasets:
- sinhala-nlp/NSINA-Headlines
- sinhala-nlp/NSINA
language:
- si
---

# Sinhala Headline Generation
This is a text generation task created with the [NSINA dataset](https://github.com/Sinhala-NLP/NSINA). This dataset is also released with the same license as NSINA. The objective of the task is to generate news headlines based on the provided news content.


## Data
We used the same instances from NSINA 1.0 as all the news articles had headlines. We divided this dataset into a training and test set following a 0.8 split. 
Data can be loaded into pandas dataframes using the following code. 

```python
from datasets import Dataset
from datasets import load_dataset

train = Dataset.to_pandas(load_dataset('sinhala-nlp/NSINA-Headlines', split='train'))
test = Dataset.to_pandas(load_dataset('sinhala-nlp/NSINA-Headlines', split='test'))
```



## Citation
If you are using the dataset or the models, please cite the following paper.

~~~
@inproceedings{Nsina2024,
author={Hettiarachchi, Hansi and Premasiri, Damith and Uyangodage, Lasitha and Ranasinghe, Tharindu},
title={{NSINA: A News Corpus for Sinhala}},
booktitle={The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
year={2024},
month={May},
}
~~~