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"""macocu_parallel""" |
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import os |
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import csv |
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import datasets |
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_CITATION = """\ |
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@inproceedings{banon2022macocu, |
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title={MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages}, |
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author={Ban{\'o}n, Marta and Espla-Gomis, Miquel and Forcada, Mikel L and Garc{\'\i}a-Romero, Cristian and Kuzman, Taja and Ljube{\v{s}}i{\'c}, Nikola and van Noord, Rik and Sempere, Leopoldo Pla and Ram{\'\i}rez-S{\'a}nchez, Gema and Rupnik, Peter and others}, |
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booktitle={23rd Annual Conference of the European Association for Machine Translation, EAMT 2022}, |
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pages={303--304}, |
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year={2022}, |
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organization={European Association for Machine Translation} |
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} |
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""" |
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_DESCRIPTION = """\ |
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The MaCoCu parallel dataset is an English-centric collection of 11 |
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parallel corpora including the following languages: Albanian, |
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Bulgarian, Bosnian, Croatian, Icelandic, Macedonian, Maltese, |
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Montenegrin, Serbian, Slovenian, and Turkish. These corpora have |
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been automatically crawled from national and generic top-level |
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domains (for example, ".hr" for croatian, or ".is" for icelandic); |
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then, a parallel curation pipeline has been applied to produce |
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the final data (see https://github.com/bitextor/bitextor). |
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""" |
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_URL = { |
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"evaluation": "https://object.pouta.csc.fi/Tatoeba-Challenge-devtest/test.tar", |
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"development": "https://object.pouta.csc.fi/Tatoeba-Challenge-devtest/dev.tar", |
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} |
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_LanguagePairs = [ "en-bs", "en-bg", "en-is", "en-hr", "en-sq", "en-mt", "en-mk", "en-cnr", "en-sr", "en-sl", "en-tr" ] |
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_LICENSE = "cc0" |
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_HOMEPAGE = "https://macocu.eu" |
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class macocuConfig(datasets.BuilderConfig): |
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"""BuilderConfig for macocu_parallel""" |
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def __init__(self, language_pair, **kwargs): |
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super().__init__(**kwargs) |
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""" |
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Args: |
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language_pair: language pair to be loaded |
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**kwargs: keyword arguments forwarded to super. |
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""" |
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self.language_pair = language_pair |
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class MaCoCu_parallel(datasets.GeneratorBasedBuilder): |
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VERSION = datasets.Version("1.0.0") |
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BUILDER_CONFIG_CLASS = macocuConfig |
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BUILDER_CONFIGS = [ |
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macocuConfig(name=pair, description=_DESCRIPTION, language_pair=pair ) |
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for pair in _LanguagePairs |
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] |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=datasets.Features({ |
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"sourceString": datasets.Value("string"), |
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"targetString": datasets.Value("string") |
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}), |
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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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lang_pair = self.config.language_pair |
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path = os.path.join("data", f"{lang_pair}.macocuv2.tsv") |
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data_file = dl_manager.download_and_extract({"data_file": path}) |
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return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs=data_file)] |
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def _generate_examples(self, filepath): |
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"""Yields examples.""" |
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with open(filepath, encoding="utf-8") as f: |
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reader = csv.reader(f, delimiter="\t", quotechar='"') |
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for id_, row in enumerate(reader): |
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if id_ == 0: |
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continue |
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yield id_, { |
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"sourceString": row[0], |
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"targetString": row[1] |
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} |
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