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import json |
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import os |
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from pathlib import Path |
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import datasets |
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_DESCRIPTION = """\ |
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General Corpora for the Maltese language. |
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""" |
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_CITATION = """\ |
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@inproceedings{BERTu, |
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title = "Pre-training Data Quality and Quantity for a Low-Resource Language: New Corpus and {BERT} Models for {M}altese", |
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author = "Micallef, Kurt and |
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Gatt, Albert and |
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Tanti, Marc and |
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van der Plas, Lonneke and |
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Borg, Claudia", |
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booktitle = "Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing", |
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month = jul, |
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year = "2022", |
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address = "Hybrid", |
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publisher = "Association for Computational Linguistics", |
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url = "https://aclanthology.org/2022.deeplo-1.10", |
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doi = "10.18653/v1/2022.deeplo-1.10", |
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pages = "90--101", |
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} |
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""" |
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_HOMEPAGE = "https://mlrs.research.um.edu.mt/" |
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_LICENSE = "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)" |
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_URL = "data/" |
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_SHUFFLED_URL = { |
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"train": os.path.join(_URL, "shuffled/train.txt"), |
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"validation": os.path.join(_URL, "shuffled/validation.txt"), |
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"test": os.path.join(_URL, "shuffled/test.txt"), |
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} |
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_SUBSET_URL_PATTERN = "{}/**/*.jsonl" |
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class KorpusMalti(datasets.GeneratorBasedBuilder): |
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"""Korpus Malti: General Corpora for the Maltese Language""" |
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VERSION = datasets.Version("4.1.0") |
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DEFAULT_CONFIG_NAME = "shuffled" |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig(name=DEFAULT_CONFIG_NAME, |
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version=VERSION, |
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description="The shuffled data from all subsets.", |
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), |
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datasets.BuilderConfig(name="belles_lettres", |
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version=VERSION, |
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description="Literary texts, usually published and included in the corpus by permission of the copyright holder. Unfortunately these cannot be disseminated in their integral form.", |
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), |
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datasets.BuilderConfig(name="blogs", |
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version=VERSION, |
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description="Online blog articles from specific blogs, identified in advance and known to contain text written (or human-translated into) Maltese.", |
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), |
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datasets.BuilderConfig(name="comics", |
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version=VERSION, |
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description="A small set of online information about comic books in Maltese.", |
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), |
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datasets.BuilderConfig(name="court", |
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version=VERSION, |
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description="Publicly available proceedings form the courts of Malta. Since this data contains personal identifable information, anonymisation is performed using the Maltese Administrative model from the MAPA Project (https://doi.org/10.3233/FAIA200869).", |
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), |
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datasets.BuilderConfig(name="eu_docs", |
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version=VERSION, |
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description="Miscellaneous policy documents from the European Union institutions.", |
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), |
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datasets.BuilderConfig(name="gov_docs", |
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version=VERSION, |
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description="Miscellaneous policy documents from the Government of Malta.", |
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), |
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datasets.BuilderConfig(name="government_gazzette", |
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version=VERSION, |
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description="The official, publicly available gazette of the Government of Malta. The gazzette is bilingual; only the Maltese text is included. Since this data contains personal identifable information, anonymisation is performed using the Maltese Administrative model from the MAPA Project (https://doi.org/10.3233/FAIA200869).", |
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), |
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datasets.BuilderConfig(name="law_eu", |
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version=VERSION, |
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description="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.", |
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), |
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datasets.BuilderConfig(name="law_mt", |
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version=VERSION, |
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description="Maltese laws.", |
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), |
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datasets.BuilderConfig(name="legal", |
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version=VERSION, |
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description="Miscellaneous legal text.", |
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), |
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datasets.BuilderConfig(name="nonfiction", |
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version=VERSION, |
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description="Miscellaneous nonfiction, published or unpublished. Published texts are included with the permission of the copyright holder, where relevant.", |
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), |
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datasets.BuilderConfig(name="parliament", |
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version=VERSION, |
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description="The officially released transcripts of parliamentary debates of the Maltese parliament.", |
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), |
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datasets.BuilderConfig(name="press_eu", |
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version=VERSION, |
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description="Press releases in Maltese by the European Council of Ministers, European Parliament and European Commission.", |
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), |
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datasets.BuilderConfig(name="press_mt", |
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version=VERSION, |
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description="Articles in the Maltese press, sourced primarily from the online portals of Maltese newspapers.", |
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), |
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datasets.BuilderConfig(name="speeches", |
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version=VERSION, |
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description="Miscellaneous speeches in Maltese (pre-written).", |
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), |
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datasets.BuilderConfig(name="theses", |
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version=VERSION, |
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description="Academic dissertations written in Maltese.", |
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), |
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datasets.BuilderConfig(name="umlib_oar", |
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version=VERSION, |
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description="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.", |
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), |
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datasets.BuilderConfig(name="web_general", |
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version=VERSION, |
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description="Miscellaneous text scraped from pre-identified web pages in Maltese.", |
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), |
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datasets.BuilderConfig(name="wiki", |
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version=VERSION, |
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description="The Maltese Wikipedia dump (downloaded 26th May, 2020).", |
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), |
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] |
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def _info(self): |
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if self.config.name == self.DEFAULT_CONFIG_NAME: |
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features = { |
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"text": datasets.Value("string"), |
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} |
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else: |
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features = { |
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"text": datasets.Sequence(datasets.Value("string")), |
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} |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=datasets.Features(features), |
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homepage=_HOMEPAGE, |
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citation=_CITATION, |
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license=_LICENSE, |
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) |
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def _split_generators(self, dl_manager): |
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if self.config.name == self.DEFAULT_CONFIG_NAME: |
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data_files = dl_manager.download_and_extract(_SHUFFLED_URL) |
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data_split = [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={ |
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"filepath": data_files["train"], |
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}, |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.VALIDATION, |
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gen_kwargs={ |
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"filepath": data_files["validation"], |
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}, |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.TEST, |
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gen_kwargs={ |
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"filepath": data_files["test"], |
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}, |
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), |
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] |
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else: |
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file_pattern = _SUBSET_URL_PATTERN.format(self.config.name) |
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base_path = self.base_path or "" |
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file_paths = [path.relative_to(base_path) |
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for path in Path(os.path.join(base_path, _URL)).glob(file_pattern)] |
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data_files = dl_manager.download_and_extract(file_paths) |
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data_split = [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={ |
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"filepath": data_files, |
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}, |
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), |
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] |
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return data_split |
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def _generate_examples(self, filepath): |
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if self.config.name == self.DEFAULT_CONFIG_NAME: |
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with open(filepath, encoding="utf-8") as file: |
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for key, line in enumerate(file): |
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if len(line) > 0: |
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yield key, { |
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"text": line, |
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} |
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else: |
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key = 0 |
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for path in filepath: |
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with open(path, encoding="utf-8") as file: |
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for line in file: |
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data = json.loads(line) |
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yield key, { |
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"text": data["text"], |
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} |
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key += 1 |
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