Datasets:

MLRS
/

maltese_news_categories

	---
	language:
	- mt
	license: cc-by-nc-sa-4.0
	size_categories:
	- 10K<n<100K
	task_categories:
	- text-classification
	pretty_name: Maltese News Categories
	dataset_info:
	features:
	- name: url
	dtype: string
	- name: title
	dtype: string
	- name: base_url
	dtype: string
	- name: text
	dtype: string
	- name: labels
	sequence:
	class_label:
	names:
	'0': court
	'1': covid
	'2': culture
	'3': eu
	'4': economy
	'5': education
	'6': entertainment
	'7': environment
	'8': health
	'9': immigration
	'10': international
	'11': opinion
	'12': politics
	'13': religion
	'14': social
	'15': sports
	'16': transport
	splits:
	- name: train
	num_bytes: 19700614
	num_examples: 10784
	- name: validation
	num_bytes: 4286743
	num_examples: 2293
	- name: test
	num_bytes: 4560168
	num_examples: 2297
	download_size: 16511339
	dataset_size: 28547525
	configs:
	- config_name: default
	data_files:
	- split: train
	path: data/train-*
	- split: validation
	path: data/validation-*
	- split: test
	path: data/test-*
	---
	# Maltese News Categories

	A multi-label topic classification dataset for Maltese News Articles.

	## Data Collection

	The data was collected from the [`press_mt` subset from Korpus Malti v4.0](https://huggingface.co/datasets/MLRS/korpus_malti/viewer/press_mt).
	Article contents were cleaned to filter out JavaScript, CSS, & repeated non-Maltese sub-headings.
	The labels are based on the `category` field from this corpus.
	Additional filtering & cleaning was performed as follows:
	1. Documents with generic categories (`News`, `Local`, `Headlines`, `Uncategorised`, `Archived`) were ignored.
	2. Some categories were merged as deemed necessary by native Maltese speakers to standardise tags assigned by different news portals (for example merging `European Union` & `Unjoni Ewropea` under `EU`).
	3. Articles with categories having less than 100 articles were ignored.
	4. Categories having a >75% co-occurence with another category are dropped.

	The different tags & their distribution is shown in the following table.

	\| Tag \| Token Count \| Article Count \| Article Percentage \|
	\| ------------- \| ------------ \| ------------- \| ------------------ \|
	\| Court \| 404,329 \| 860 \| 5.59 \|
	\| Covid \| 458,120 \| 1,735 \| 11.29 \|
	\| Culture \| 750,406 \| 2,186 \| 14.22 \|
	\| EU \| 93,227 \| 240 \| 1.56 \|
	\| Economy \| 112,972 \| 321 \| 2.09 \|
	\| Education \| 56,084 \| 191 \| 1.24 \|
	\| Entertainment \| 837,248 \| 3,147 \| 20.47 \|
	\| Environment \| 38,522 \| 147 \| 0.96 \|
	\| Health \| 81,630 \| 290 \| 1.89 \|
	\| Immigration \| 29,665 \| 120 \| 0.78 \|
	\| International \| 784,878 \| 3,957 \| 25.74 \|
	\| Opinion \| 231,266 \| 321 \| 2.09 \|
	\| Politics \| 682,007 \| 1,294 \| 8.42 \|
	\| Religion \| 186,300 \| 465 \| 3.02 \|
	\| Social \| 98,127 \| 203 \| 1.32 \|
	\| Sports \| 835,484 \| 3,066 \| 19.94 \|
	\| Transport \| 74,959 \| 241 \| 1.57 \|

	## Additional Information

	### License

	This work is licensed under a [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License][cc-by-nc-sa].
	Permissions beyond the scope of this license may be available at [https://mlrs.research.um.edu.mt/](https://mlrs.research.um.edu.mt/).

	[![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa]

	[cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/
	[cc-by-nc-sa-image]: https://licensebuttons.net/l/by-nc-sa/4.0/88x31.png

	## Citation

	This work was first presented in [Topic Classification and Headline Generation for Maltese using a Public News Corpus](#).
	Cite it as follows:

	```bibtex
	@inproceedings{maltese-news-datasets,
	title = "Topic Classification and Headline Generation for {M}altese using a Public News Corpus",
	author = "Chaudhary, Amit Kumar and
	Micallef, Kurt and
	Borg, Claudia",
	booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation",
	month = may,
	year = "2024",
	publisher = "Association for Computational Linguistics",
	}
	```