Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Maltese
Size:
10K<n<100K
Tags:
License:
File size: 4,716 Bytes
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---
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",
}
```
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