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tapaco.py

@@ -1,220 +0,0 @@
-# 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,
-                    }