Datasets:
Sub-tasks:
semantic-similarity-classification
Multilinguality:
multilingual
Language Creators:
crowdsourced
Annotations Creators:
machine-generated
Source Datasets:
extended|other-tatoeba
License:
| # 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. | |
| """TaPaCo: A Corpus of Sentential Paraphrases for 73 Languages""" | |
| import csv | |
| import os | |
| import datasets | |
| _CITATION = """\ | |
| @dataset{scherrer_yves_2020_3707949, | |
| author = {Scherrer, Yves}, | |
| title = {{TaPaCo: A Corpus of Sentential Paraphrases for 73 Languages}}, | |
| month = mar, | |
| year = 2020, | |
| publisher = {Zenodo}, | |
| version = {1.0}, | |
| doi = {10.5281/zenodo.3707949}, | |
| url = {https://doi.org/10.5281/zenodo.3707949} | |
| } | |
| """ | |
| _DESCRIPTION = """\ | |
| A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. \ | |
| Tatoeba is a crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences \ | |
| and translations for particular linguistic constructions and words. The paraphrase corpus is created by populating a \ | |
| graph with Tatoeba sentences and equivalence links between sentences “meaning the same thing”. This graph is then \ | |
| traversed to extract sets of paraphrases. Several language-independent filters and pruning steps are applied to \ | |
| remove uninteresting sentences. A manual evaluation performed on three languages shows that between half and three \ | |
| quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, \ | |
| or near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million \ | |
| sentences, with 200 – 250 000 sentences per language. It covers a range of languages for which, to our knowledge,\ | |
| no other paraphrase dataset exists.""" | |
| _HOMEPAGE = "https://zenodo.org/record/3707949#.X9Dh0cYza3I" | |
| _LICENSE = "Creative Commons Attribution 2.0 Generic" | |
| # Original data: "https://zenodo.org/record/3707949/files/tapaco_v1.0.zip?download=1" | |
| _URL = "data/tapaco_v1.0.zip" | |
| _VERSION = "1.0.0" | |
| _LANGUAGES = { | |
| "af": "Afrikaans", | |
| "ar": "Arabic", | |
| "az": "Azerbaijani", | |
| "be": "Belarusian", | |
| "ber": "Berber languages", | |
| "bg": "Bulgarian", | |
| "bn": "Bengali", | |
| "br": "Breton", | |
| "ca": "Catalan; Valencian", | |
| "cbk": "Chavacano", | |
| "cmn": "Mandarin", | |
| "cs": "Czech", | |
| "da": "Danish", | |
| "de": "German", | |
| "el": "Greek, Modern (1453-)", | |
| "en": "English", | |
| "eo": "Esperanto", | |
| "es": "Spanish; Castilian", | |
| "et": "Estonian", | |
| "eu": "Basque", | |
| "fi": "Finnish", | |
| "fr": "French", | |
| "gl": "Galician", | |
| "gos": "Gronings", | |
| "he": "Hebrew", | |
| "hi": "Hindi", | |
| "hr": "Croatian", | |
| "hu": "Hungarian", | |
| "hy": "Armenian", | |
| "ia": "Interlingua (International Auxiliary Language Association)", | |
| "id": "Indonesian", | |
| "ie": "Interlingue; Occidental", | |
| "io": "Ido", | |
| "is": "Icelandic", | |
| "it": "Italian", | |
| "ja": "Japanese", | |
| "jbo": "Lojban", | |
| "kab": "Kabyle", | |
| "ko": "Korean", | |
| "kw": "Cornish", | |
| "la": "Latin", | |
| "lfn": "Lingua Franca Nova\t", | |
| "lt": "Lithuanian", | |
| "mk": "Macedonian", | |
| "mr": "Marathi", | |
| "nb": "Bokmål, Norwegian; Norwegian Bokmål", | |
| "nds": "Low German; Low Saxon; German, Low; Saxon, Low", | |
| "nl": "Dutch; Flemish", | |
| "orv": "Old Russian", | |
| "ota": "Turkish, Ottoman (1500-1928)", | |
| "pes": "Iranian Persian", | |
| "pl": "Polish", | |
| "pt": "Portuguese", | |
| "rn": "Rundi", | |
| "ro": "Romanian; Moldavian; Moldovan", | |
| "ru": "Russian", | |
| "sl": "Slovenian", | |
| "sr": "Serbian", | |
| "sv": "Swedish", | |
| "tk": "Turkmen", | |
| "tl": "Tagalog", | |
| "tlh": "Klingon; tlhIngan-Hol", | |
| "toki": "Toki Pona", | |
| "tr": "Turkish", | |
| "tt": "Tatar", | |
| "ug": "Uighur; Uyghur", | |
| "uk": "Ukrainian", | |
| "ur": "Urdu", | |
| "vi": "Vietnamese", | |
| "vo": "Volapük", | |
| "war": "Waray", | |
| "wuu": "Wu Chinese", | |
| "yue": "Yue Chinese", | |
| } | |
| _ALL_LANGUAGES = "all_languages" | |
| class TapacoConfig(datasets.BuilderConfig): | |
| """BuilderConfig for TapacoConfig.""" | |
| def __init__(self, languages=None, **kwargs): | |
| super(TapacoConfig, self).__init__(version=datasets.Version(_VERSION, ""), **kwargs), | |
| self.languages = languages | |
| class Tapaco(datasets.GeneratorBasedBuilder): | |
| BUILDER_CONFIGS = [ | |
| TapacoConfig( | |
| name=_ALL_LANGUAGES, | |
| languages=_LANGUAGES, | |
| description="A collection of paraphrase corpus for 73 languages to aid paraphrase " | |
| "detection and generation.", | |
| ) | |
| ] + [ | |
| TapacoConfig( | |
| name=lang, | |
| languages=[lang], | |
| description=f"{_LANGUAGES[lang]} A collection of paraphrase corpus for 73 languages to " | |
| f"aid paraphrase " | |
| "detection and generation.", | |
| ) | |
| for lang in _LANGUAGES | |
| ] | |
| BUILDER_CONFIG_CLASS = TapacoConfig | |
| DEFAULT_CONFIG_NAME = _ALL_LANGUAGES | |
| def _info(self): | |
| features = datasets.Features( | |
| { | |
| "paraphrase_set_id": datasets.Value("string"), | |
| "sentence_id": datasets.Value("string"), | |
| "paraphrase": datasets.Value("string"), | |
| "lists": datasets.Sequence(datasets.Value("string")), | |
| "tags": datasets.Sequence(datasets.Value("string")), | |
| "language": datasets.Value("string"), | |
| } | |
| ) | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=features, | |
| supervised_keys=None, | |
| homepage=_HOMEPAGE, | |
| license=_LICENSE, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| """Returns SplitGenerators.""" | |
| data_dir = dl_manager.download_and_extract(_URL) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={"data_dir": data_dir}, | |
| ), | |
| ] | |
| def _generate_examples(self, data_dir): | |
| """Yields examples.""" | |
| base_path = os.path.join(data_dir, "tapaco_v1.0") | |
| file_dict = {lang: os.path.join(base_path, lang + ".txt") for lang in self.config.languages} | |
| id_ = -1 | |
| for language, filepath in file_dict.items(): | |
| with open(filepath, encoding="utf-8") as csv_file: | |
| csv_reader = csv.reader( | |
| csv_file, quotechar='"', delimiter="\t", quoting=csv.QUOTE_ALL, skipinitialspace=True | |
| ) | |
| for row in csv_reader: | |
| id_ += 1 | |
| paraphrase_set_id, sentence_id, paraphrase, lists, tags = row[: len(row)] + [""] * (5 - len(row)) | |
| yield id_, { | |
| "paraphrase_set_id": paraphrase_set_id, | |
| "sentence_id": sentence_id, | |
| "paraphrase": paraphrase, | |
| "lists": lists.split(";"), | |
| "tags": tags.split(";"), | |
| "language": language, | |
| } | |