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