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---
pretty_name: Korpus Malti
configs:
- config_name: shuffled
data_files:
- split: train
path: data/shuffled/train*.jsonl
- split: validation
path: data/shuffled/validation*.jsonl
- split: test
path: data/shuffled/test*.jsonl
features:
- name: text
dtype: string
default: true
- config_name: belles_lettres
data_files: data/belles_lettres/*.jsonl
features:
- name: text
list: string
- name: category
dtype: string
- name: subcategory
dtype: string
- name: author
dtype: string
- name: title
dtype: string
- name: publisher
dtype: string
- name: published
dtype: string
- name: copyright
dtype: string
- name: translator
dtype: string
- name: date
dtype: string
- name: source
dtype: string
- name: url
dtype: string
- config_name: blogs
data_files: data/blogs/*.jsonl
features:
- name: text
list: string
- name: category
dtype: string
- name: subcategory
dtype: string
- name: title
dtype: string
- name: url
dtype: string
- name: source
dtype: string
- name: date
dtype: string
- config_name: comics
data_files: data/comics/*.jsonl
features:
- name: text
list: string
- name: category
dtype: string
- name: title
dtype: string
- name: date
dtype: string
- name: url
dtype: string
- config_name: court
data_files: data/court/*.jsonl
features:
- name: text
list: string
- name: category
dtype: string
- name: subcategory
dtype: string
- name: year
dtype: string
- name: source
dtype: string
- name: url
dtype: string
- name: note
dtype: string
- config_name: eu_docs
data_files: data/eu_docs/*.jsonl
features:
- name: text
list: string
- name: category
dtype: string
- name: subcategory
dtype: string
- name: publisher
dtype: string
- name: year
dtype: string
- name: source
dtype: string
- name: url
dtype: string
- name: note
dtype: string
- config_name: gov_docs
data_files: data/gov_docs/*.jsonl
features:
- name: text
list: string
- name: category
dtype: string
- name: subcategory
dtype: string
- name: publisher
dtype: string
- name: year
dtype: string
- name: source
dtype: string
- name: url
dtype: string
- name: note
dtype: string
- config_name: government_gazzette
data_files: data/government_gazzette/*.jsonl
features:
- name: text
list: string
- name: category
dtype: string
- name: subcategory
dtype: string
- name: year
dtype: string
- name: source
dtype: string
- config_name: law_eu
data_files: data/law_eu/*.jsonl
features:
- name: text
list: string
- name: category
dtype: string
- name: source
dtype: string
- name: url
dtype: string
- name: notes
dtype: string
- config_name: law_mt
data_files: data/law_mt/*.jsonl
features:
- name: text
list: string
- name: category
dtype: string
- config_name: legal
data_files: data/legal/*.jsonl
features:
- name: text
list: string
- name: category
dtype: string
- name: subcategory
dtype: string
- name: source
dtype: string
- config_name: nonfiction
data_files: data/nonfiction/*.jsonl
features:
- name: text
list: string
- name: category
dtype: string
- name: subcategory
dtype: string
- name: title
dtype: string
- name: publisher
dtype: string
- name: editor
dtype: string
- name: bookref
dtype: string
- name: date
dtype: string
- name: year
dtype: string
- name: source
dtype: string
- name: url
dtype: string
- config_name: parliament
data_files: data/parliament/*.jsonl
features:
- name: text
list: string
- name: category
dtype: string
- name: subcategory
dtype: string
- name: date
dtype: string
- name: year
dtype: string
- name: source
dtype: string
- name: filename
dtype: string
- name: url
dtype: string
- name: note
dtype: string
- config_name: press_eu
data_files: data/press_eu/*.jsonl
features:
- name: text
list: string
- name: category
dtype: string
- name: subcategory
dtype: string
- name: title
dtype: string
- name: date
dtype: string
- name: year
dtype: string
- name: source
dtype: string
- name: url
dtype: string
- config_name: press_mt
data_files: data/press_mt/*.jsonl
features:
- name: text
list: string
- name: category
dtype: string
- name: title
dtype: string
- name: subtitle
dtype: string
- name: date
dtype: string
- name: year
dtype: string
- name: source
dtype: string
- name: url
dtype: string
- config_name: speeches
data_files: data/speeches/*.jsonl
features:
- name: text
list: string
- name: category
dtype: string
- name: subcategory
dtype: string
- name: year
dtype: string
- name: source
dtype: string
- name: url
dtype: string
- config_name: theses
data_files: data/theses/*.jsonl
features:
- name: text
list: string
- name: category
dtype: string
- name: subcategory
dtype: string
- name: title
dtype: string
- name: date
dtype: string
- name: source
dtype: string
- config_name: umlib_oar
data_files: data/umlib_oar/*.jsonl
features:
- name: text
list: string
- name: categories
list: string
- name: title
dtype: string
- name: publishers
list: string
- name: filenames
list: string
- name: num_files
dtype: int64
- name: date
dtype: string
- name: source
dtype: string
- name: url
dtype: string
- config_name: web_general
data_files: data/web_general/*.jsonl
features:
- name: text
list: string
- name: category
dtype: string
- name: subcategory
dtype: string
- name: year
dtype: string
- name: source
dtype: string
- name: url
dtype: string
- config_name: wiki
data_files: data/wiki/*.jsonl
features:
- name: text
list: string
- name: category
dtype: string
- name: title
dtype: string
- name: url
dtype: string
- name: id
dtype: string
language:
- mt
multilinguality:
- monolingual
size_categories:
- 10M<n<100M
annotations_creators:
- no-annotation
language_creators:
- found
source_datasets:
- original
task_categories:
- text-generation
- fill-mask
task_ids:
- language-modeling
- masked-language-modeling
license:
- cc-by-nc-sa-4.0
---
# Korpus Malti 🇲🇹
General Corpora for the Maltese Language.
This dataset is composed of texts from various genres/domains written in Maltese.
## Versions
This dataset is updated from time to time, and the latest version is obtained unless otherwise specified.
Consult the [changelog](CHANGELOG.md) for a detailed overview of each version released.
If you want to fetch a particular version, use the [`revision` argument](https://huggingface.co/docs/datasets/main/en/package_reference/loading_methods#datasets.load_dataset.revision).
For example, to get the data used to train [BERTu](https://huggingface.co/MLRS/BERTu), use the `4.0.0` tag:
```python
import datasets
dataset = datasets.load_dataset("MLRS/korpus_malti", revision="4.0.0")
```
## Configurations
### Shuffled data
The default configuration (`"shuffled"`) yields the entire corpus from all genres:
```python
import datasets
dataset = datasets.load_dataset("MLRS/korpus_malti")
```
All sentences are combined together and shuffled, without preserving the sentence order.
No other annotations are present, so an instance would be of the following form:
```json
{
"text": "Din hija sentenza."
}
```
### Domain-split data
All other configurations contain a subset of the data.
The available data subsets are:
- `belles_lettres`: Literary texts, usually published and included in the corpus by permission of the copyright holder. Unfortunately these cannot be disseminated in their integral form.
- `blogs`: Online blog articles from specific blogs, identified in advance and known to contain text written (or human-translated into) Maltese.
- `comics`: A small set of online information about comic books in Maltese.
- `court`: Publicly available proceedings form the courts of Malta.
- `eu_docs`: Miscellaneous policy documents from the European Union institutions.
- `gov_docs`: Miscellaneous policy documents from the Government of Malta.
- `government_gazzette`: The official, publicly available gazette of the Government of Malta. The gazzette is bilingual; only the Maltese text is included.
- `law_eu`: Miscellaneous EU laws in their official Maltese translation, obtained via the Eur-Lex repository and including the segments of the Acquis Communautaire available in the DGT translation memory.
- `law_mt`: Maltese laws.
- `legal`: Miscellaneous legal text.
- `nonfiction`: Miscellaneous nonfiction, published or unpublished. Published texts are included with the permission of the copyright holder, where relevant.
- `parliament`: The officially released transcripts of parliamentary debates of the Maltese parliament.
- `press_eu`: Press releases in Maltese by the European Council of Ministers, European Parliament and European Commission.
- `press_mt`: Articles in the Maltese press, sourced primarily from the online portals of Maltese newspapers.
- `speeches`: Miscellaneous speeches in Maltese (pre-written).
- `theses`: Academic dissertations written in Maltese.
- `umlib_oar`: Very broad variety of nonfiction texts which are publicly available in the University of Malta Open Access Repository. Included with help and permission from the University of Malta library.
- `web_general`: Miscellaneous text scraped from pre-identified web pages in Maltese.
- `wiki`: The Maltese Wikipedia dump (downloaded 26th May, 2020).
For instance, this loads the Wikipedia portion:
```python
import datasets
dataset = datasets.load_dataset("MLRS/korpus_malti", "wiki")
```
For these configurations the data is not shuffled, so the sentence order on a document level is preserved.
An instance from these configurations would take the following form:
```json
{
"text": ["Din hija sentenza.", "U hawn oħra!"],
...
}
```
The instances also contain additional metadata.
Their structure differs from one instance to another, depending on what's available from the source.
This information was typically scraped from the source itself & minimal processing is performed on such data.
## Additional Information
### Dataset Curators
The dataset was created by [Albert Gatt](https://albertgatt.github.io), [Kurt Micallef](https://www.kurtmica.com), [Marc Tanti](https://www.um.edu.mt/profile/marctanti), [Lonneke van der Plas](https://sites.google.com/site/lonnekenlp/) and [Claudia Borg](https://www.um.edu.mt/profile/claudiaborg).
### Licensing Information
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 Information
This work was first presented in [Pre-training Data Quality and Quantity for a Low-Resource Language: New Corpus and BERT Models for Maltese](https://aclanthology.org/2022.deeplo-1.10/).
Cite it as follows:
```bibtex
@inproceedings{BERTu,
title = "Pre-training Data Quality and Quantity for a Low-Resource Language: New Corpus and {BERT} Models for {M}altese",
author = "Micallef, Kurt and
Gatt, Albert and
Tanti, Marc and
van der Plas, Lonneke and
Borg, Claudia",
booktitle = "Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing",
month = jul,
year = "2022",
address = "Hybrid",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.deeplo-1.10",
doi = "10.18653/v1/2022.deeplo-1.10",
pages = "90--101",
}
```
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