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from itertools import combinations |
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import os |
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import datasets |
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_DESCRIPTION = """\ |
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This is a collection of translated sentences from Tatoeba |
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397 languages, 4,344 bitexts |
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total number of files: 1,572 |
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total number of tokens: 86.26M |
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total number of sentence fragments: 11.80M |
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""" |
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_HOMEPAGE_URL = "http://opus.nlpl.eu/Tatoeba.php" |
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_CITATION = """\ |
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@InProceedings{TIEDEMANN12.463, |
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author = {J{\"o}rg}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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_VERSION = "2023.04.12" |
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_DATE = "v" + "-".join(s.zfill(2) for s in _VERSION.split(".")) |
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_BASE_NAME = "Tatoeba.{}.{}" |
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_BASE_URL = "https://opus.nlpl.eu/download.php?f=Tatoeba/{}/moses/{}-{}.txt.zip" |
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_LANGUAGES = ["ab", "acm", "ady", "af", "afb", "afh", "aii", "ain", "ajp", "akl", |
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"aln", "alt", "am", "an", "ang", "aoz", "apc", "ar", "arq", "ary", |
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"arz", "as", "ast", "av", "avk", "awa", "ayl", "az", "ba", "bal", |
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"ban", "bar", "be", "ber", "bg", "bho", "bjn", "bm", "bn", "bo", |
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"bom", "br", "brx", "bs", "bua", "bvy", "bzt", "ca", "cay", "cbk", |
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"ce", "ceb", "ch", "chg", "chn", "cho", "chr", "cjy", "ckb", "ckt", |
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"cmn", "co", "cpi", "crh", "crk", "crs", "cs", "csb", "cv", "cy", |
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"cycl", "da", "de", "diq", "dng", "drt", "dsb", "dtp", "dv", "dws", |
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"ee", "egl", "el", "emx", "en", "enm", "eo", "es", "et", "eu", "evn", |
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"ext", "fi", "fj", "fkv", "fo", "fr", "frm", "fro", "frr", "fuc", |
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"fur", "fuv", "fy", "ga", "gag", "gan", "gbm", "gcf", "gd", "gil", |
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"gl", "gn", "gom", "gos", "got", "grc", "gsw", "gu", "guc", "gv", |
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"ha", "hak", "haw", "hbo", "he", "hi", "hif", "hil", "hnj", "hoc", |
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"hr", "hrx", "hsb", "hsn", "ht", "hu", "hy", "ia", "iba", "id", |
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"ie", "ig", "igs", "ii", "ike", "ilo", "io", "is", "it", "izh", |
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"ja", "jam", "jbo", "jdt", "jpa", "jv", "ka", "kaa", "kab", "kam", |
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"kbd", "kek", "kha", "kiu", "kjh", "kk", "kl", "klj", "km", "kmr", |
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"kn", "knc", "ko", "koi", "kpv", "krc", "krl", "ksh", "ku", "kum", |
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"kw", "kxi", "ky", "kzj", "la", "laa", "lad", "lb", "ldn", "lfn", |
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"lg", "li", "lij", "liv", "lkt", "lld", "lmo", "ln", "lo", "lou", |
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"lt", "ltg", "lut", "lv", "lzh", "lzz", "mad", "mai", "max", "mdf", |
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"mfa", "mfe", "mg", "mgm", "mh", "mhr", "mi", "mic", "mik", "min", |
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"mk", "ml", "mn", "mnc", "mni", "mnr", "mnw", "moh", "mr", "mt", |
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"mus", "mvv", "mwl", "mww", "my", "myv", "na", "nah", "nan", "nap", |
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"nb", "nch", "nds", "ngt", "ngu", "niu", "nl", "nlv", "nn", "nnb", |
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"nog", "non", "nov", "npi", "nst", "nus", "nv", "ny", "nys", "oar", |
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"oc", "ofs", "oj", "ood", "or", "orv", "os", "osp", "ota", "otk", |
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"pa", "pag", "pal", "pam", "pap", "pau", "pcd", "pdc", "pes", "phn", |
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"pi", "pl", "pms", "pnb", "ppl", "prg", "ps", "pt", "qu", "quc", |
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"qxq", "qya", "rap", "rhg", "rif", "rm", "rn", "ro", "rom", "ru", |
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"rue", "rw", "ryu", "sa", "sah", "sat", "sc", "scn", "sco", "sd", |
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"sdh", "se", "sg", "sgs", "shi", "shs", "shy", "si", "sjn", "skr", |
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"sl", "sm", "sma", "sn", "so", "sq", "sr", "srn", "stq", "su", |
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"sux", "sv", "swc", "swg", "swh", "syc", "syl", "szl", "ta", "te", |
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"tet", "tg", "th", "thv", "ti", "tig", "tk", "tkl", "tl", "tlh", |
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"tly", "tmr", "tmw", "tn", "to", "toi", "tok", "toki", "tpi", "tpw", |
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"tr", "ts", "tt", "tts", "tvl", "ty", "tyv", "tzl", "udm", "ug", |
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"uk", "umb", "ur", "uz", "vec", "vep", "vi", "vo", "vro", "wa", |
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"war", "wo", "wuu", "xal", "xh", "xmf", "xqa", "yi", "yo", "yue", |
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"zea", "zgh", "zlm", "zsm", "zu", "zza"] |
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_LANGUAGE_PAIRS = list(combinations(_LANGUAGES, 2)) |
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class TatoebaConfig(datasets.BuilderConfig): |
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def __init__(self, *args, lang1=None, lang2=None, date=_DATE, **kwargs): |
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super().__init__( |
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*args, |
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name=f"{lang1}-{lang2}", |
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**kwargs, |
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) |
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self.lang1 = lang1 |
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self.lang2 = lang2 |
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self.date = date |
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class Tatoeba(datasets.GeneratorBasedBuilder): |
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BUILDER_CONFIGS = [ |
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TatoebaConfig( |
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lang1=lang1, |
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lang2=lang2, |
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description=f"Translating {lang1} to {lang2} or vice versa", |
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version=datasets.Version(_VERSION), |
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) |
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for lang1, lang2 in _LANGUAGE_PAIRS |
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] |
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BUILDER_CONFIG_CLASS = TatoebaConfig |
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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=(self.config.lang1, self.config.lang2)), |
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}, |
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), |
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supervised_keys=None, |
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homepage=_HOMEPAGE_URL, |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager): |
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def _base_url(lang1, lang2, date): |
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return _BASE_URL.format(date, lang1, lang2) |
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download_url = _base_url(self.config.lang1, self.config.lang2, self.config.date) |
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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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l1, l2 = self.config.lang1, self.config.lang2 |
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folder = l1 + "-" + l2 |
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l1_file = _BASE_NAME.format(folder, l1) |
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l2_file = _BASE_NAME.format(folder, l2) |
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l1_path = os.path.join(datapath, l1_file) |
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l2_path = os.path.join(datapath, l2_file) |
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with open(l1_path, encoding="utf-8") as f1, open(l2_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": {l1: x, l2: y}, |
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}, |
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) |
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yield result |
