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"""United nations general assembly resolutions: A six-language parallel corpus""" |
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import os |
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import datasets |
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_CITATION = """\ |
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@inproceedings{title = "United Nations General Assembly Resolutions: a six-language parallel corpus", |
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abstract = "In this paper we describe a six-ways parallel public-domain corpus consisting of 2100 United Nations General Assembly Resolutions with translations in the six official languages of the United Nations, with an average of around 3 million tokens per language. The corpus is available in a preprocessed, formatting-normalized TMX format with paragraphs aligned across multiple languages. We describe the background to the corpus and its content, the process of its construction, and some of its interesting properties.", |
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author = "Alexandre Rafalovitch and Robert Dale", |
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year = "2009", |
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language = "English", |
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booktitle = "MT Summit XII proceedings", |
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publisher = "International Association of Machine Translation", |
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}""" |
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_HOMEPAGE = "http://opus.nlpl.eu/UN.php" |
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_LICENSE = "" |
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_VALID_LANGUAGE_PAIRS = { |
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("ar", "en"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/ar-en.txt.zip", |
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("ar", "es"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/ar-es.txt.zip", |
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("ar", "fr"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/ar-fr.txt.zip", |
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("ar", "ru"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/ar-ru.txt.zip", |
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("ar", "zh"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/ar-zh.txt.zip", |
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("en", "es"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/en-es.txt.zip", |
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("en", "fr"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/en-fr.txt.zip", |
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("en", "ru"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/en-ru.txt.zip", |
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("en", "zh"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/en-zh.txt.zip", |
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("es", "fr"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/es-fr.txt.zip", |
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("es", "ru"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/es-ru.txt.zip", |
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("es", "zh"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/es-zh.txt.zip", |
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("fr", "ru"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/fr-ru.txt.zip", |
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("fr", "zh"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/fr-zh.txt.zip", |
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("ru", "zh"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/ru-zh.txt.zip", |
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} |
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_VERSION = "2.0.0" |
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_DESCRIPTION = """\ |
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United nations general assembly resolutions: A six-language parallel corpus. |
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This is a collection of translated documents from the United Nations originally compiled into a translation memory by Alexandre Rafalovitch, Robert Dale (see http://uncorpora.org). |
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6 languages, 15 bitexts |
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total number of files: 6 |
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total number of tokens: 18.87M |
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total number of sentence fragments: 0.44M |
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""" |
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_BASE_NAME = "UN.{}-{}.{}" |
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class UnGaConfig(datasets.BuilderConfig): |
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"""BuilderConfig for United nations general assembly resolutions: A six-language parallel corpus""" |
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def __init__(self, language_pair=(None, None), **kwargs): |
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"""BuilderConfig for United nations general assembly resolutions: A six-language parallel corpus. |
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The first language in `language_pair` should consist of two strings joined by |
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an underscore (e.g. "en-tr"). |
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Args: |
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language_pair: pair of languages that will be used for translation. |
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**kwargs: keyword arguments forwarded to super. |
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""" |
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name = "%s_to_%s" % (language_pair[0], language_pair[1]) |
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description = ("Translation dataset from %s to %s or %s to %s.") % ( |
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language_pair[0], |
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language_pair[1], |
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language_pair[1], |
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language_pair[0], |
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) |
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super(UnGaConfig, self).__init__( |
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name=name, description=description, version=datasets.Version(_VERSION, ""), **kwargs |
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) |
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assert language_pair in _VALID_LANGUAGE_PAIRS, ( |
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"Config language pair (%s, " "%s) not supported" |
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) % language_pair |
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self.language_pair = language_pair |
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class UnGa(datasets.GeneratorBasedBuilder): |
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BUILDER_CONFIGS = [ |
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UnGaConfig( |
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language_pair=pair, |
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) |
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for pair in _VALID_LANGUAGE_PAIRS.keys() |
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] |
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BUILDER_CONFIG_CLASS = UnGaConfig |
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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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{ |
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"id": datasets.Value("string"), |
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"translation": datasets.Translation(languages=tuple(self.config.language_pair)), |
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}, |
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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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download_url = _VALID_LANGUAGE_PAIRS.get(tuple(self.config.language_pair)) |
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path = dl_manager.download_and_extract(download_url) |
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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={"datapath": path}, |
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) |
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] |
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def _generate_examples(self, datapath): |
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lang1, lang2 = self.config.language_pair |
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lang1_file = _BASE_NAME.format(lang1, lang2, lang1) |
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lang2_file = _BASE_NAME.format(lang1, lang2, lang2) |
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lang1_path = os.path.join(datapath, lang1_file) |
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lang2_path = os.path.join(datapath, lang2_file) |
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with open(lang1_path, encoding="utf-8") as f1, open(lang2_path, encoding="utf-8") as f2: |
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for sentence_counter, (x, y) in enumerate(zip(f1, f2)): |
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x = x.strip() |
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y = y.strip() |
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result = ( |
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sentence_counter, |
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{ |
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"id": str(sentence_counter), |
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"translation": {lang1: x, lang2: y}, |
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}, |
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) |
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yield result |
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