# coding=utf-8 # Copyright 2020 HuggingFace Datasets Authors. # # 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. # Lint as: python3 from itertools import combinations import os import datasets _DESCRIPTION = """\ This is a collection of translated sentences from Tatoeba 397 languages, 4,344 bitexts total number of files: 1,572 total number of tokens: 86.26M total number of sentence fragments: 11.80M """ _HOMEPAGE_URL = "http://opus.nlpl.eu/Tatoeba.php" _CITATION = """\ @InProceedings{TIEDEMANN12.463, author = {J{\"o}rg}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} } """ _VERSION = "2023.04.12" # "2021.7.22" _DATE = "v" + "-".join(s.zfill(2) for s in _VERSION.split(".")) _BASE_NAME = "Tatoeba.{}.{}" _BASE_URL = "https://opus.nlpl.eu/download.php?f=Tatoeba/{}/moses/{}-{}.txt.zip" _LANGUAGES = ["ab", "acm", "ady", "af", "afb", "afh", "aii", "ain", "ajp", "akl", "aln", "alt", "am", "an", "ang", "aoz", "apc", "ar", "arq", "ary", "arz", "as", "ast", "av", "avk", "awa", "ayl", "az", "ba", "bal", "ban", "bar", "be", "ber", "bg", "bho", "bjn", "bm", "bn", "bo", "bom", "br", "brx", "bs", "bua", "bvy", "bzt", "ca", "cay", "cbk", "ce", "ceb", "ch", "chg", "chn", "cho", "chr", "cjy", "ckb", "ckt", "cmn", "co", "cpi", "crh", "crk", "crs", "cs", "csb", "cv", "cy", "cycl", "da", "de", "diq", "dng", "drt", "dsb", "dtp", "dv", "dws", "ee", "egl", "el", "emx", "en", "enm", "eo", "es", "et", "eu", "evn", "ext", "fi", "fj", "fkv", "fo", "fr", "frm", "fro", "frr", "fuc", "fur", "fuv", "fy", "ga", "gag", "gan", "gbm", "gcf", "gd", "gil", "gl", "gn", "gom", "gos", "got", "grc", "gsw", "gu", "guc", "gv", "ha", "hak", "haw", "hbo", "he", "hi", "hif", "hil", "hnj", "hoc", "hr", "hrx", "hsb", "hsn", "ht", "hu", "hy", "ia", "iba", "id", "ie", "ig", "igs", "ii", "ike", "ilo", "io", "is", "it", "izh", "ja", "jam", "jbo", "jdt", "jpa", "jv", "ka", "kaa", "kab", "kam", "kbd", "kek", "kha", "kiu", "kjh", "kk", "kl", "klj", "km", "kmr", "kn", "knc", "ko", "koi", "kpv", "krc", "krl", "ksh", "ku", "kum", "kw", "kxi", "ky", "kzj", "la", "laa", "lad", "lb", "ldn", "lfn", "lg", "li", "lij", "liv", "lkt", "lld", "lmo", "ln", "lo", "lou", "lt", "ltg", "lut", "lv", "lzh", "lzz", "mad", "mai", "max", "mdf", "mfa", "mfe", "mg", "mgm", "mh", "mhr", "mi", "mic", "mik", "min", "mk", "ml", "mn", "mnc", "mni", "mnr", "mnw", "moh", "mr", "mt", "mus", "mvv", "mwl", "mww", "my", "myv", "na", "nah", "nan", "nap", "nb", "nch", "nds", "ngt", "ngu", "niu", "nl", "nlv", "nn", "nnb", "nog", "non", "nov", "npi", "nst", "nus", "nv", "ny", "nys", "oar", "oc", "ofs", "oj", "ood", "or", "orv", "os", "osp", "ota", "otk", "pa", "pag", "pal", "pam", "pap", "pau", "pcd", "pdc", "pes", "phn", "pi", "pl", "pms", "pnb", "ppl", "prg", "ps", "pt", "qu", "quc", "qxq", "qya", "rap", "rhg", "rif", "rm", "rn", "ro", "rom", "ru", "rue", "rw", "ryu", "sa", "sah", "sat", "sc", "scn", "sco", "sd", "sdh", "se", "sg", "sgs", "shi", "shs", "shy", "si", "sjn", "skr", "sl", "sm", "sma", "sn", "so", "sq", "sr", "srn", "stq", "su", "sux", "sv", "swc", "swg", "swh", "syc", "syl", "szl", "ta", "te", "tet", "tg", "th", "thv", "ti", "tig", "tk", "tkl", "tl", "tlh", "tly", "tmr", "tmw", "tn", "to", "toi", "tok", "toki", "tpi", "tpw", "tr", "ts", "tt", "tts", "tvl", "ty", "tyv", "tzl", "udm", "ug", "uk", "umb", "ur", "uz", "vec", "vep", "vi", "vo", "vro", "wa", "war", "wo", "wuu", "xal", "xh", "xmf", "xqa", "yi", "yo", "yue", "zea", "zgh", "zlm", "zsm", "zu", "zza"] _LANGUAGE_PAIRS = list(combinations(_LANGUAGES, 2)) class TatoebaConfig(datasets.BuilderConfig): def __init__(self, *args, lang1=None, lang2=None, date=_DATE, **kwargs): super().__init__( *args, name=f"{lang1}-{lang2}", **kwargs, ) self.lang1 = lang1 self.lang2 = lang2 self.date = date class Tatoeba(datasets.GeneratorBasedBuilder): BUILDER_CONFIGS = [ TatoebaConfig( lang1=lang1, lang2=lang2, description=f"Translating {lang1} to {lang2} or vice versa", version=datasets.Version(_VERSION), ) for lang1, lang2 in _LANGUAGE_PAIRS ] BUILDER_CONFIG_CLASS = TatoebaConfig def _info(self): return datasets.DatasetInfo( description=_DESCRIPTION, features=datasets.Features( { "id": datasets.Value("string"), "translation": datasets.Translation(languages=(self.config.lang1, self.config.lang2)), }, ), supervised_keys=None, homepage=_HOMEPAGE_URL, citation=_CITATION, ) def _split_generators(self, dl_manager): def _base_url(lang1, lang2, date): return _BASE_URL.format(date, lang1, lang2) download_url = _base_url(self.config.lang1, self.config.lang2, self.config.date) path = dl_manager.download_and_extract(download_url) return [ datasets.SplitGenerator( name=datasets.Split.TRAIN, gen_kwargs={"datapath": path}, ) ] def _generate_examples(self, datapath): l1, l2 = self.config.lang1, self.config.lang2 folder = l1 + "-" + l2 l1_file = _BASE_NAME.format(folder, l1) l2_file = _BASE_NAME.format(folder, l2) l1_path = os.path.join(datapath, l1_file) l2_path = os.path.join(datapath, l2_file) with open(l1_path, encoding="utf-8") as f1, open(l2_path, encoding="utf-8") as f2: for sentence_counter, (x, y) in enumerate(zip(f1, f2)): x = x.strip() y = y.strip() result = ( sentence_counter, { "id": str(sentence_counter), "translation": {l1: x, l2: y}, }, ) yield result