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| # coding=utf-8 | |
| # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| """ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts""" | |
| import csv | |
| import os | |
| import datasets | |
| _CITATION = """\ | |
| @inproceedings{soares-etal-2020-parapat, | |
| title = "{P}ara{P}at: The Multi-Million Sentences Parallel Corpus of Patents Abstracts", | |
| author = "Soares, Felipe and | |
| Stevenson, Mark and | |
| Bartolome, Diego and | |
| Zaretskaya, Anna", | |
| booktitle = "Proceedings of The 12th Language Resources and Evaluation Conference", | |
| month = may, | |
| year = "2020", | |
| address = "Marseille, France", | |
| publisher = "European Language Resources Association", | |
| url = "https://www.aclweb.org/anthology/2020.lrec-1.465", | |
| pages = "3769--3774", | |
| language = "English", | |
| ISBN = "979-10-95546-34-4", | |
| } | |
| """ | |
| _DESCRIPTION = """\ | |
| ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts | |
| This dataset contains the developed parallel corpus from the open access Google | |
| Patents dataset in 74 language pairs, comprising more than 68 million sentences | |
| and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm | |
| for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned. | |
| """ | |
| _HOMEPAGE = ( | |
| "https://figshare.com/articles/ParaPat_The_Multi-Million_Sentences_Parallel_Corpus_of_Patents_Abstracts/12627632" | |
| ) | |
| _LICENSE = "CC BY 4.0" | |
| type1_datasets_file = ["el-en", "cs-en", "en-hu", "en-ro", "en-sk", "en-uk", "es-fr", "fr-ru"] | |
| type2_datasets_file = [ | |
| "de-fr", | |
| "en-ja", | |
| "en-es", | |
| "en-fr", | |
| "de-en", | |
| "en-ko", | |
| "fr-ja", | |
| "en-zh", | |
| "en-ru", | |
| "fr-ko", | |
| "ru-uk", | |
| "en-pt", | |
| ] | |
| type1_datasets_features = [ | |
| "el-en", | |
| "cs-en", | |
| "en-hu", | |
| "en-ro", | |
| "en-sk", | |
| "en-uk", | |
| "es-fr", | |
| "fr-ru", | |
| "fr-ko", | |
| "ru-uk", | |
| "en-pt", | |
| ] | |
| type2_datasets_features = ["de-fr", "en-ja", "en-es", "en-fr", "de-en", "en-ko", "fr-ja", "en-zh", "en-ru"] | |
| class ParaPatConfig(datasets.BuilderConfig): | |
| """BuilderConfig for ParaPat.""" | |
| def __init__(self, language_pair=(None, None), url=None, **kwargs): | |
| """BuilderConfig for ParaPat.""" | |
| name = "%s-%s" % (language_pair[0], language_pair[1]) | |
| description = ("Translation dataset from %s to %s") % (language_pair[0], language_pair[1]) | |
| source, target = language_pair | |
| super(ParaPatConfig, self).__init__( | |
| name=name, | |
| description=description, | |
| version=datasets.Version("1.1.0", ""), | |
| **kwargs, | |
| ) | |
| self.language_pair = language_pair | |
| self.url = url | |
| class ParaPat(datasets.GeneratorBasedBuilder): | |
| """ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts""" | |
| VERSION = datasets.Version("1.1.0") | |
| BUILDER_CONFIGS = [ | |
| ParaPatConfig( | |
| language_pair=("el", "en"), | |
| url="https://ndownloader.figshare.com/files/23748818", | |
| ), | |
| ParaPatConfig( | |
| language_pair=("cs", "en"), | |
| url="https://ndownloader.figshare.com/files/23748821", | |
| ), | |
| ParaPatConfig( | |
| language_pair=("en", "hu"), | |
| url="https://ndownloader.figshare.com/files/23748827", | |
| ), | |
| ParaPatConfig( | |
| language_pair=("en", "ro"), | |
| url="https://ndownloader.figshare.com/files/23748842", | |
| ), | |
| ParaPatConfig( | |
| language_pair=("en", "sk"), | |
| url="https://ndownloader.figshare.com/files/23748848", | |
| ), | |
| ParaPatConfig( | |
| language_pair=("en", "uk"), | |
| url="https://ndownloader.figshare.com/files/23748851", | |
| ), | |
| ParaPatConfig( | |
| language_pair=("es", "fr"), | |
| url="https://ndownloader.figshare.com/files/23748857", | |
| ), | |
| ParaPatConfig( | |
| language_pair=("fr", "ru"), | |
| url="https://ndownloader.figshare.com/files/23748863", | |
| ), | |
| ParaPatConfig( | |
| language_pair=("de", "fr"), | |
| url="https://ndownloader.figshare.com/files/23748872", | |
| ), | |
| ParaPatConfig( | |
| language_pair=("en", "ja"), | |
| url="https://ndownloader.figshare.com/files/23748626", | |
| ), | |
| ParaPatConfig( | |
| language_pair=("en", "es"), | |
| url="https://ndownloader.figshare.com/files/23748896", | |
| ), | |
| ParaPatConfig( | |
| language_pair=("en", "fr"), | |
| url="https://ndownloader.figshare.com/files/23748944", | |
| ), | |
| ParaPatConfig( | |
| language_pair=("de", "en"), | |
| url="https://ndownloader.figshare.com/files/23855657", | |
| ), | |
| ParaPatConfig( | |
| language_pair=("en", "ko"), | |
| url="https://ndownloader.figshare.com/files/23748689", | |
| ), | |
| ParaPatConfig( | |
| language_pair=("fr", "ja"), | |
| url="https://ndownloader.figshare.com/files/23748866", | |
| ), | |
| ParaPatConfig( | |
| language_pair=("en", "zh"), | |
| url="https://ndownloader.figshare.com/files/23748779", | |
| ), | |
| ParaPatConfig( | |
| language_pair=("en", "ru"), | |
| url="https://ndownloader.figshare.com/files/23748704", | |
| ), | |
| ParaPatConfig( | |
| language_pair=("fr", "ko"), | |
| url="https://ndownloader.figshare.com/files/23855408", | |
| ), | |
| ParaPatConfig( | |
| language_pair=("ru", "uk"), | |
| url="https://ndownloader.figshare.com/files/23855465", | |
| ), | |
| ParaPatConfig( | |
| language_pair=("en", "pt"), | |
| url="https://ndownloader.figshare.com/files/23855441", | |
| ), | |
| ] | |
| BUILDER_CONFIG_CLASS = ParaPatConfig | |
| def _info(self): | |
| source, target = self.config.language_pair | |
| if self.config.name in type1_datasets_features: | |
| features = datasets.Features( | |
| { | |
| "index": datasets.Value("int32"), | |
| "family_id": datasets.Value("int32"), | |
| "translation": datasets.features.Translation(languages=(source, target)), | |
| } | |
| ) | |
| elif self.config.name in type2_datasets_features: | |
| features = datasets.Features( | |
| { | |
| "translation": datasets.features.Translation(languages=(source, target)), | |
| } | |
| ) | |
| return datasets.DatasetInfo( | |
| # This is the description that will appear on the datasets page. | |
| description=_DESCRIPTION, | |
| # This defines the different columns of the dataset and their types | |
| features=features, # Here we define them above because they are different between the two configurations | |
| # If there's a common (input, target) tuple from the features, | |
| # specify them here. They'll be used if as_supervised=True in | |
| # builder.as_dataset. | |
| supervised_keys=(source, target), | |
| # Homepage of the dataset for documentation | |
| homepage=_HOMEPAGE, | |
| # License for the dataset if available | |
| license=_LICENSE, | |
| # Citation for the dataset | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| """Returns SplitGenerators.""" | |
| source, target = self.config.language_pair | |
| data_dir = dl_manager.download_and_extract(self.config.url) | |
| if self.config.name in type1_datasets_file: | |
| _TRAIN_FILE_NAME = data_dir | |
| else: | |
| name = self.config.name.replace("-", "_") | |
| _TRAIN_FILE_NAME = os.path.join(data_dir, f"{name}.tsv") | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| # These kwargs will be passed to _generate_examples | |
| gen_kwargs={ | |
| "filepath": _TRAIN_FILE_NAME, | |
| "split": "train", | |
| }, | |
| ), | |
| ] | |
| def _generate_examples(self, filepath, split): | |
| """Yields examples.""" | |
| source, target = self.config.language_pair | |
| with open(filepath, encoding="utf-8") as f: | |
| if self.config.name in type1_datasets_features: | |
| data = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE) | |
| for id_, row in enumerate(data): | |
| if row["src_lang"] + "-" + row["tgt_lang"] != self.config.name: | |
| continue | |
| yield id_, { | |
| "index": row["index"], | |
| "family_id": row["family_id"], | |
| "translation": {source: row["src_abs"], target: row["tgt_abs"]}, | |
| } | |
| else: | |
| data = csv.reader(f, delimiter="\t", quoting=csv.QUOTE_NONE) | |
| for id_, row in enumerate(data): | |
| yield id_, { | |
| "translation": {source: row[0], target: row[1]}, | |
| } | |