Datasets:
metadata
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 for a detailed overview of each version released.
If you want to fetch a particular version, use the revision argument.
For example, to get the data used to train BERTu, use the 4.0.0 tag:
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:
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:
{
"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:
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:
{
"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, Kurt Micallef, Marc Tanti, Lonneke van der Plas and Claudia Borg.
Licensing Information
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Permissions beyond the scope of this license may be available at https://mlrs.research.um.edu.mt/.
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. Cite it as follows:
@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",
}