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| """OPUS-100""" |
|
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|
| import datasets |
|
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|
| _CITATION = """\ |
| @misc{zhang2020improving, |
| title={Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation}, |
| author={Biao Zhang and Philip Williams and Ivan Titov and Rico Sennrich}, |
| year={2020}, |
| eprint={2004.11867}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CL} |
| } |
| """ |
|
|
| _DESCRIPTION = """\ |
| OPUS-100 is English-centric, meaning that all training pairs include English on either the source or target side. |
| The corpus covers 100 languages (including English).OPUS-100 contains approximately 55M sentence pairs. |
| Of the 99 language pairs, 44 have 1M sentence pairs of training data, 73 have at least 100k, and 95 have at least 10k. |
| """ |
|
|
| _URL = { |
| "supervised": "https://object.pouta.csc.fi/OPUS-100/v1.0/opus-100-corpus-{}-v1.0.tar.gz", |
| "zero-shot": "https://object.pouta.csc.fi/OPUS-100/v1.0/opus-100-corpus-zeroshot-v1.0.tar.gz", |
| } |
|
|
| _SupervisedLanguagePairs = [ |
| "af-en", |
| "am-en", |
| "an-en", |
| "ar-en", |
| "as-en", |
| "az-en", |
| "be-en", |
| "bg-en", |
| "bn-en", |
| "br-en", |
| "bs-en", |
| "ca-en", |
| "cs-en", |
| "cy-en", |
| "da-en", |
| "de-en", |
| "dz-en", |
| "el-en", |
| "en-eo", |
| "en-es", |
| "en-et", |
| "en-eu", |
| "en-fa", |
| "en-fi", |
| "en-fr", |
| "en-fy", |
| "en-ga", |
| "en-gd", |
| "en-gl", |
| "en-gu", |
| "en-ha", |
| "en-he", |
| "en-hi", |
| "en-hr", |
| "en-hu", |
| "en-hy", |
| "en-id", |
| "en-ig", |
| "en-is", |
| "en-it", |
| "en-ja", |
| "en-ka", |
| "en-kk", |
| "en-km", |
| "en-ko", |
| "en-kn", |
| "en-ku", |
| "en-ky", |
| "en-li", |
| "en-lt", |
| "en-lv", |
| "en-mg", |
| "en-mk", |
| "en-ml", |
| "en-mn", |
| "en-mr", |
| "en-ms", |
| "en-mt", |
| "en-my", |
| "en-nb", |
| "en-ne", |
| "en-nl", |
| "en-nn", |
| "en-no", |
| "en-oc", |
| "en-or", |
| "en-pa", |
| "en-pl", |
| "en-ps", |
| "en-pt", |
| "en-ro", |
| "en-ru", |
| "en-rw", |
| "en-se", |
| "en-sh", |
| "en-si", |
| "en-sk", |
| "en-sl", |
| "en-sq", |
| "en-sr", |
| "en-sv", |
| "en-ta", |
| "en-te", |
| "en-tg", |
| "en-th", |
| "en-tk", |
| "en-tr", |
| "en-tt", |
| "en-ug", |
| "en-uk", |
| "en-ur", |
| "en-uz", |
| "en-vi", |
| "en-wa", |
| "en-xh", |
| "en-yi", |
| "en-yo", |
| "en-zh", |
| "en-zu", |
| ] |
|
|
| _0shotLanguagePairs = [ |
| "ar-de", |
| "ar-fr", |
| "ar-nl", |
| "ar-ru", |
| "ar-zh", |
| "de-fr", |
| "de-nl", |
| "de-ru", |
| "de-zh", |
| "fr-nl", |
| "fr-ru", |
| "fr-zh", |
| "nl-ru", |
| "nl-zh", |
| "ru-zh", |
| ] |
|
|
|
|
| class Opus100Config(datasets.BuilderConfig): |
| """BuilderConfig for Opus100""" |
|
|
| def __init__(self, language_pair, **kwargs): |
| super().__init__(**kwargs) |
| """ |
| |
| Args: |
| language_pair: language pair, you want to load |
| **kwargs: keyword arguments forwarded to super. |
| """ |
| self.language_pair = language_pair |
|
|
|
|
| class Opus100(datasets.GeneratorBasedBuilder): |
| """OPUS-100 is English-centric, meaning that all training pairs include English on either the source or target side.""" |
|
|
| VERSION = datasets.Version("1.0.0") |
|
|
| BUILDER_CONFIG_CLASS = Opus100Config |
| BUILDER_CONFIGS = [ |
| Opus100Config(name=pair, description=_DESCRIPTION, language_pair=pair) |
| for pair in _SupervisedLanguagePairs + _0shotLanguagePairs |
| ] |
|
|
| def _info(self): |
| src_tag, tgt_tag = self.config.language_pair.split("-") |
| return datasets.DatasetInfo( |
| description=_DESCRIPTION, |
| features=datasets.Features({"translation": datasets.features.Translation(languages=(src_tag, tgt_tag))}), |
| supervised_keys=(src_tag, tgt_tag), |
| homepage="http://opus.nlpl.eu/opus-100.php", |
| citation=_CITATION, |
| ) |
|
|
| def _split_generators(self, dl_manager): |
|
|
| lang_pair = self.config.language_pair |
| src_tag, tgt_tag = lang_pair.split("-") |
|
|
| domain = "supervised" |
| if lang_pair in _0shotLanguagePairs: |
| domain = "zero-shot" |
|
|
| if domain == "supervised": |
| archive = dl_manager.download(_URL["supervised"].format(lang_pair)) |
| elif domain == "zero-shot": |
| archive = dl_manager.download(_URL["zero-shot"]) |
|
|
| data_dir = "/".join(["opus-100-corpus", "v1.0", domain, lang_pair]) |
| output = [] |
|
|
| test = datasets.SplitGenerator( |
| name=datasets.Split.TEST, |
| |
| gen_kwargs={ |
| "filepath": f"{data_dir}/opus.{lang_pair}-test.{src_tag}", |
| "labelpath": f"{data_dir}/opus.{lang_pair}-test.{tgt_tag}", |
| "files": dl_manager.iter_archive(archive), |
| }, |
| ) |
|
|
| available_files = [path for path, _ in dl_manager.iter_archive(archive)] |
| if f"{data_dir}/opus.{lang_pair}-test.{src_tag}" in available_files: |
| output.append(test) |
|
|
| if domain == "supervised": |
|
|
| train = datasets.SplitGenerator( |
| name=datasets.Split.TRAIN, |
| gen_kwargs={ |
| "filepath": f"{data_dir}/opus.{lang_pair}-train.{src_tag}", |
| "labelpath": f"{data_dir}/opus.{lang_pair}-train.{tgt_tag}", |
| "files": dl_manager.iter_archive(archive), |
| }, |
| ) |
|
|
| if f"{data_dir}/opus.{lang_pair}-train.{src_tag}" in available_files: |
| output.append(train) |
|
|
| valid = datasets.SplitGenerator( |
| name=datasets.Split.VALIDATION, |
| |
| gen_kwargs={ |
| "filepath": f"{data_dir}/opus.{lang_pair}-dev.{src_tag}", |
| "labelpath": f"{data_dir}/opus.{lang_pair}-dev.{tgt_tag}", |
| "files": dl_manager.iter_archive(archive), |
| }, |
| ) |
|
|
| if f"{data_dir}/opus.{lang_pair}-dev.{src_tag}" in available_files: |
| output.append(valid) |
|
|
| return output |
|
|
| def _generate_examples(self, filepath, labelpath, files): |
| """Yields examples.""" |
| src_tag, tgt_tag = self.config.language_pair.split("-") |
| src, tgt = None, None |
| for path, f in files: |
| if path == filepath: |
| src = f.read().decode("utf-8").split("\n")[:-1] |
| elif path == labelpath: |
| tgt = f.read().decode("utf-8").split("\n")[:-1] |
| if src is not None and tgt is not None: |
| for idx, (s, t) in enumerate(zip(src, tgt)): |
| yield idx, {"translation": {src_tag: s, tgt_tag: t}} |
| break |
|
|
