Datasets:
Documentation.
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README.md
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num_examples: 3811
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dataset_size: 90800490
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configs:
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- config_name: default
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data_files:
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path: data/validation-*
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path: data/test-*
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---
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#
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num_bytes: 13622039.420147227
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num_examples: 3811
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download_size: 55694312
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dataset_size: 90800490
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configs:
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- config_name: default
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data_files:
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path: data/validation-*
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- split: test
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path: data/test-*
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license: cc-by-nc-sa-4.0
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task_categories:
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- summarization
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language:
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- mt
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pretty_name: Maltese News Headlines
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size_categories:
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- 10K<n<100K
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---
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# Maltese News Headlines
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A headline-article pairs dataset for Maltese News Articles.
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This dataset is intended to be used for headline generation from the article content.
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## Data Collection
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The data was collected from the [`press_mt` subset from Korpus Malti v4.0](https://huggingface.co/datasets/MLRS/korpus_malti/viewer/press_mt).
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Article contents were cleaned to filter out JavaScript, CSS, & repeated non-Maltese sub-headings.
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The title and base URL features are based on the `title` & `url` fields from this corpus, respectively.
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## Additional Information
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### License
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This work is licensed under a [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License][cc-by-nc-sa].
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Permissions beyond the scope of this license may be available at [https://mlrs.research.um.edu.mt/](https://mlrs.research.um.edu.mt/).
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[![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa]
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[cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/
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[cc-by-nc-sa-image]: https://licensebuttons.net/l/by-nc-sa/4.0/88x31.png
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## Citation
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This work was first presented in [Topic Classification and Headline Generation for Maltese using a Public News Corpus](#).
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Cite it as follows:
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```bibtex
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@inproceedings{maltese-news-datasets,
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title = "Topic Classification and Headline Generation for {M}altese using a Public News Corpus",
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author = "Chaudhary, Amit Kumar and
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Micallef, Kurt and
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Borg, Claudia",
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booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation",
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month = may,
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year = "2024",
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publisher = "Association for Computational Linguistics",
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}
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```
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