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"""OpusOpenoffice: A collection of documents from openoffice org""" |
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import itertools |
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import os |
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import datasets |
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_CITATION = """\ |
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@InProceedings{TIEDEMANN12.463, |
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author = {J�rg Tiedemann}, |
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title = {Parallel Data, Tools and Interfaces in OPUS}, |
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booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, |
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year = {2012}, |
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month = {may}, |
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date = {23-25}, |
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address = {Istanbul, Turkey}, |
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editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Ugur Dogan and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis}, |
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publisher = {European Language Resources Association (ELRA)}, |
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isbn = {978-2-9517408-7-7}, |
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language = {english} |
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} |
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""" |
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_DESCRIPTION = """\ |
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A collection of documents from http://www.openoffice.org/. |
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""" |
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_HOMEPAGE = "https://opus.nlpl.eu/OpenOffice/corpus/version/OpenOffice" |
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_LANGUAGES = ["de", "en_GB", "es", "fr", "ja", "ru", "sv", "zh_CN"] |
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_LANGUAGE_PAIRS = list(itertools.combinations(_LANGUAGES, 2)) |
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_BASE_URL = "https://object.pouta.csc.fi/OPUS-OpenOffice/v3/moses" |
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_URLS = {f"{l1}-{l2}": f"{_BASE_URL}/{l1}-{l2}.txt.zip" for l1, l2 in _LANGUAGE_PAIRS} |
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class OpusOpenoffice(datasets.GeneratorBasedBuilder): |
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"""OpusOpenoffice: A collection of documents from openoffice org""" |
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VERSION = datasets.Version("1.0.0") |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig( |
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name=f"{l1}-{l2}", version=datasets.Version("1.0.0"), description=f"OPUS EUconst {l1}-{l2}" |
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) |
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for l1, l2 in _LANGUAGE_PAIRS |
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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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{"translation": datasets.features.Translation(languages=tuple(self.config.name.split("-")))} |
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), |
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supervised_keys=None, |
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homepage=_HOMEPAGE, |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager): |
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"""Returns SplitGenerators.""" |
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lang_pair = self.config.name.split("-") |
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data_dir = dl_manager.download_and_extract(_URLS[self.config.name]) |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={ |
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"source_file": os.path.join(data_dir, f"OpenOffice.{self.config.name}.{lang_pair[0]}"), |
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"target_file": os.path.join(data_dir, f"OpenOffice.{self.config.name}.{lang_pair[1]}"), |
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}, |
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), |
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] |
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def _generate_examples(self, source_file, target_file): |
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with open(source_file, encoding="utf-8") as f: |
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source_sentences = f.read().split("\n") |
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with open(target_file, encoding="utf-8") as f: |
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target_sentences = f.read().split("\n") |
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assert len(target_sentences) == len(source_sentences), "Sizes do not match: %d vs %d for %s vs %s." % ( |
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len(source_sentences), |
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len(target_sentences), |
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source_file, |
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target_file, |
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) |
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source, target = tuple(self.config.name.split("-")) |
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for idx, (l1, l2) in enumerate(zip(source_sentences, target_sentences)): |
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result = {"translation": {source: l1, target: l2}} |
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yield idx, result |
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