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--- |
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license: cc-by-sa-4.0 |
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task_categories: |
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- text-generation |
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language: |
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- si |
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--- |
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# Sinhala Headline Generation |
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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. |
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## Data |
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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. |
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Data can be loaded into pandas dataframes using the following code. |
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```python |
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from datasets import Dataset |
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from datasets import load_dataset |
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train = Dataset.to_pandas(load_dataset('sinhala-nlp/NSINA-Headlines', split='train')) |
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test = Dataset.to_pandas(load_dataset('sinhala-nlp/NSINA-Headlines', split='test')) |
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``` |
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## Citation |
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If you are using the dataset or the models, please cite the following paper. |
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~~~ |
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@inproceedings{Nsina2024, |
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author={Hettiarachchi, Hansi and Premasiri, Damith and Uyangodage, Lasitha and Ranasinghe, Tharindu}, |
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title={{NSINA: A News Corpus for Sinhala}}, |
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booktitle={The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)}, |
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year={2024}, |
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month={May}, |
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} |
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~~~ |
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